36 Commits

Author SHA1 Message Date
ff6b807f3b release: bump version to 0.5.0 with clean TDD-driven editor
This release represents a major milestone in MarkiTect's evolution, featuring a complete rewrite of the editor system using test-driven development principles and clean object-oriented architecture.

Key highlights:
- Clean TDD-driven editor architecture with Section/SectionManager/DOMRenderer classes
- Multiple concurrent section editing with intelligent section splitting
- Four-layer content management system (original, current, pending, editing)
- Enhanced status dialog with repository info and version tracking
- Comprehensive testing framework with separation of concerns
- Elegant slide-in control panel and intelligent auto-sizing textarea
- Complete legacy editor system replacement

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-26 07:53:45 +01:00
6447c617fd feat: implement clean TDD-driven editor with enhanced status dialog
- Replace legacy editor with clean object-oriented architecture
- Add comprehensive test-driven Section, SectionManager, and DOMRenderer classes
- Implement four-layer content management with proper action semantics
- Add multiple concurrent section editing capability
- Implement intelligent section splitting with heading detection
- Add enhanced status dialog with repository info, version, and save filename
- Include git commit information and modification status
- Provide actual save filename preview instead of source filename
- Maintain proper section positioning and global reset functionality

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-26 07:51:43 +01:00
5337b26d5e fix: resolve textarea sizing, font preservation, and markdown structure issues
Addressed multiple critical editing experience issues:

Enhanced Markdown Preservation:
- Fixed htmlToMarkdown() to properly preserve heading hash signs (# ## ###)
- Maintained markdown structure for lists, code blocks, and blockquotes
- Preserved inline formatting (bold, italic, code) within paragraphs
- Improved spacing and indentation handling for complex structures

Font Size & Style Preservation:
- Extract and apply original element's font-size to textarea
- Preserve line-height from source content for consistent appearance
- Use inherit values in CSS, overridden by JavaScript for accuracy
- Ensures editing experience matches visual appearance of content

Improved Textarea Sizing:
- More reasonable height constraints (max 360px vs 400px)
- Line-count based minimum height calculation (~24px per line)
- Reduced excessive height for short content
- Added both horizontal and vertical resize capability
- Set minimum width constraint (200px) for better usability

CSS Enhancements:
- Changed resize from vertical-only to both directions
- Added min-width constraint for better proportions
- Improved overflow handling (auto vs overflow-y only)
- Font properties use inherit with JavaScript override

Technical Improvements:
- Better content height calculation using actual line count
- Proper handling of edge cases in markdown conversion
- Maintained smooth transitions while fixing sizing logic
- Preserved all existing functionality while fixing issues

These fixes ensure that:
- Headings preserve their # markers when edited
- Font sizes match the original content being edited
- Textarea dimensions are proportional and user-controllable
- Markdown structure roundtrips accurately

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 22:27:19 +02:00
87e970bbee feat: implement intelligent auto-sizing textarea for optimal editing UX
Enhanced the editing experience with smart textarea sizing that adapts
to content dimensions:

Smart Auto-Sizing Logic:
- Dynamically calculates height based on content lines
- Minimum height: 3 lines (63px) for comfortable editing
- Maximum height: 20 lines (444px) to prevent excessive expansion
- Precise calculation using line-height and padding measurements

Responsive Behavior:
- Auto-resizes on input events as you type
- Handles paste operations with proper sizing
- Smooth transitions with 0.15s ease animation
- Temporarily disables transition during measurement for accuracy

Technical Implementation:
- Line-height aware calculation (14px font × 1.5 = 21px per line)
- Proper padding compensation (24px total)
- Scroll-height based measurement for precise content fitting
- Debounced initial sizing to handle DOM rendering

User Experience Benefits:
- Textarea perfectly fits content size on open
- No unnecessary white space for short content
- Sufficient space for longer content without overwhelming
- Natural, document-like editing experience
- Visual harmony with surrounding content boxes

CSS Enhancements:
- Reduced min-height from 100px to 60px for better proportions
- Added smooth height transitions for polished feel
- Maintained vertical resize capability for user control
- Proper box-sizing for consistent measurements

This creates a much more natural editing experience where the textarea
intelligently adapts to match the content being edited.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 21:53:49 +02:00
eced5cbae4 fix: prevent section jumping by preserving insertion position
Fixed critical positioning issue where split sections would jump to end
of document instead of staying at their original location.

Problem:
- appendChild() was adding new sections at end of parent container
- Split sections appeared at bottom of document, not at edit location
- Disrupted document flow and user experience

Solution:
- Remember original position with nextSibling before removal
- Use insertBefore(wrapper, nextSibling) for correct positioning
- New sections now appear exactly where original section was located
- Maintains proper document order and reading flow

This ensures that when you split a paragraph by adding empty lines,
the resulting sections stay in their logical position within the
document structure.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 21:41:59 +02:00
6e60e5f13d feat: enhance empty line preservation and automatic paragraph separation
Implemented sophisticated paragraph handling for the markdown editor:

Enhanced HTML-to-Markdown Conversion:
- Replaced simple tag stripping with proper structural parsing
- Preserves formatting for headers, emphasis, code, blockquotes
- Maintains paragraph separation with proper spacing
- Handles nested elements and mixed content correctly

Dynamic Section Splitting:
- Detects paragraph breaks (double newlines) when editing
- Automatically creates separate editable sections for each paragraph
- Enables independent editing of logically separate content
- Maintains proper section indexing with sub-identifiers

Visual Enhancements:
- Added green styling for edited sections to distinguish from originals
- Subtle borders and backgrounds indicate modified content
- Hover effects provide clear feedback on editable areas

Technical Improvements:
- Enhanced blur handler to detect multiple paragraphs
- Smart wrapper creation for single vs. multi-paragraph content
- Proper DOM manipulation for section insertion and replacement
- Preserves editing state and section relationships

Benefits:
- Empty lines between paragraphs are preserved accurately
- Text separated by empty lines becomes independently editable
- Better content organization and editing granularity
- Improved user experience with clear visual feedback

This resolves the empty line swallowing issue and provides intuitive
paragraph-level editing that matches user expectations.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 21:35:53 +02:00
93655512d0 fix: resolve section duplication issue when saving edited content
Fixed critical bug where editing a section would cause content duplication
in the saved file due to improper handling of DOM reconstruction.

Problem:
- marked.parse() creates multiple HTML elements from single markdown section
- markSections() marked all new elements as individual editable sections
- getMarkdownContent() processed all marked sections, causing duplication
- Example: editing "## Header\nText" created <h2> + <p>, both saved separately

Solution:
- Wrap edited content in container div with data-edited attribute
- Update markSections() to skip elements inside edited wrappers
- Enhanced getMarkdownContent() to handle edited wrappers as single units
- Process child elements within edited wrappers correctly
- Maintain section indexing while preventing double-marking

Technical Changes:
- editSection() now creates wrapper div for parsed content
- markSections() skips content inside [data-edited] containers
- getMarkdownContent() handles edited vs regular sections differently
- Proper cleanup and re-indexing of section markers

This ensures edited sections are treated as cohesive units and saved
exactly once, eliminating content duplication while maintaining full
editing functionality.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 21:23:34 +02:00
74ee2760e2 fix: resolve markdown roundtrip formatting issue in save functionality
Fixed critical bug where saving unedited content would introduce unwanted
indentation and formatting changes due to unnecessary DOM reconstruction.

Problem:
- getMarkdownContent() always reconstructed from DOM elements
- textContent doesn't preserve original markdown formatting
- HTML rendering adds/removes whitespace causing formatting drift
- Lines after first would get extra indentation on roundtrip

Solution:
- Added hasEdits tracking to MarkitectEditor class
- Return original markdown content when no edits have been made
- Only reconstruct from DOM when actual edits occurred
- Mark hasEdits=true when textarea blur event fires

This ensures perfect fidelity when saving unedited documents while
maintaining the reconstruction capability for edited content.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 21:15:48 +02:00
aefece1fe7 feat: hide control ribbon when panel is expanded for cleaner UI
Enhanced the floating control panel behavior:
- Ribbon smoothly fades out (opacity: 0) when panel expands
- Ribbon becomes non-interactive (pointer-events: none) when hidden
- Added smooth opacity transition (0.3s ease) for elegant fade effect
- Maintains consistent transition timing with panel slide animation

This eliminates the redundant ribbon icon when the full panel is visible,
creating a cleaner and less cluttered interface while maintaining the
intuitive expand/collapse interaction.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 21:08:39 +02:00
ce7ce0470f feat: implement elegant slide-in floating control panel for edit mode
Replaced the intrusive blue status bar with a sleek slide-in control panel:

UI/UX Improvements:
- Minimized ribbon (📝 icon) on top-right that slides out to full panel
- Beautiful gradient design with backdrop blur effects
- Smooth CSS transitions with cubic-bezier easing
- Auto-expand on load, then minimize after 2 seconds
- Click outside to close, click ribbon to toggle

Features Combined:
- Status indicators with dynamic icons ( loading,  success,  error)
- Save & Download and Preview buttons in clean grid layout
- Version information in panel header
- Error reporting with expandable details
- Responsive design for mobile devices

Technical Changes:
- Replaced old floating-header with integrated control panel
- Enhanced status update function with visual state management
- Added toggle functionality with click-outside-to-close
- Improved typography and spacing throughout
- Updated test to match new element ID structure

This provides a much cleaner editing experience with better space utilization
while maintaining all previous functionality and adding visual polish.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 20:55:45 +02:00
6df6430b72 fix: resolve CSS embedding import error in HTML template generation
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Fixed critical bug where CSS files were not being embedded inline due to
missing Path import in _generate_html_template method. This was causing
CSS content to fall back to link tags instead of inline embedding.

The issue was:
- Path used in CSS handling code (line 367) before being imported
- Path import was conditional and occurred later in the method (line 623)
- Exception handling silently fell back to link tags

Solution:
- Added explicit `from pathlib import Path` import at method start
- CSS files now properly embed inline as intended
- All CSS-related tests now pass (6/6 previously failing)

This resolves the test failures where CSS content was expected to be
embedded inline but was generating link tags instead.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 20:37:32 +02:00
ed27dee5a0 feat: reorganize Makefile installation targets for better UX
Simplified installation process with clearer, more intuitive targets:

- NEW: `make install` - One-command global installation (recommended)
- NEW: `make uninstall` - Clean removal of global installation
- RENAMED: install-deps → install-user-deps (clearer purpose)
- RENAMED: install-deps-force → install-force-deps (better naming)
- RENAMED: install-system → install-system-deps (clearer scope)
- UPDATED: Help messages and cross-references throughout

The new `make install` target:
1. Creates user virtual environment with dependencies
2. Installs markitect binary to ~/bin/
3. Provides clear next steps and verification

This resolves the confusing 8-target installation matrix with a simple,
reliable one-command solution that works from any directory.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 20:28:29 +02:00
49724d2ae5 release: prepare v0.4.0 - Enhanced Edit Mode & Version Tracking
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Key improvements:
- Fixed critical md-render --edit functionality that was broken
- Enhanced version tracking with git commit hash, timestamps, and local changes detection
- Comprehensive regression tests to prevent future breaks
- Repository cleanup completed

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 20:13:41 +02:00
25a38322c0 chore: clean up repository documentation files for release
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Remove extensive documentation files to simplify repository structure
for v0.2.0 release. Core functionality is complete and tested.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 20:04:08 +02:00
3a53e0aa58 fix: resolve md-render --edit functionality and add enhanced version tracking
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This commit fixes the critical md-render --edit regression that was causing
"blue box, no content" issues and adds comprehensive version tracking.

Key fixes:
- Fixed JavaScript newline escaping in f-string templates (\\n\\n not \\\\n\\\\n)
- Restored proper content rendering with marked.js CDN and graceful fallback
- Removed problematic validation logic that was blocking content display
- Cleaned up html-inject-editing command and related experimental code

Enhancements:
- Added version display in edit mode header with git commit and timestamp
- Enhanced version tracking to show local uncommitted changes with timestamps
- Added comprehensive regression tests to prevent future breakage
- Improved error handling and recovery mechanisms

The md-render --edit functionality now works reliably with full version visibility.

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 18:16:25 +02:00
64d1606740 feat: add comprehensive testing and error tracking for edit mode
Add robust testing framework to prevent regression of edit mode:
- Comprehensive regression tests for JavaScript syntax validation
- Build-time JavaScript validation tool with Node.js integration
- Enhanced error tracking with detailed logging and recovery
- Makefile integration for `make validate-js` command

Features:
- Validates JavaScript syntax in generated HTML templates
- Detects common issues like broken string literals and brace escaping
- Enhanced error reporting with timestamps and context
- Automatic error recovery for graceful degradation
- Build validation to catch syntax errors before deployment

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 16:53:09 +02:00
1022e2597f fix: resolve critical JavaScript syntax errors in md-render --edit
Fix broken edit mode that prevented content rendering due to:
- Unescaped newline literals causing JavaScript string syntax errors
- Inconsistent brace escaping in f-string templates
- Template literal syntax issues with variable interpolation

The edit mode now properly renders content AND provides editing capabilities.

Also added html-inject-editing command for standalone HTML enhancement
with graceful fallback options.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 16:46:47 +02:00
50170f75df fix: resolve md-ingest Path object conversion error
Fix critical runtime error where md-ingest command failed with
'str' object has no attribute 'exists'. The DocumentManager.ingest_file()
method expects a Path object but was receiving a string from the CLI.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 05:59:25 +02:00
1877d6d462 release: prepare v0.3.0 - Architectural Improvements
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- Kaizen-agentic framework integration as capability submodule
- Test reorganization by capability with better modularity
- Comprehensive capability inclusion management system
- Directory reorganization with logical separation
- Todofile system implementation replacing NEXT.md
- Historical file organization for cleaner structure

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 03:10:13 +02:00
7cc81dee8f feat: organize and archive legacy files to history directory
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Clean up base directory by moving completed work and legacy files to
organized subdirectories within history/, improving project navigation
and separating active files from historical artifacts.

## Archived Files:

### Development Scripts → history/development-scripts/
- debug_*.py (7 files) - Legacy debugging and development scripts
- demo_issue_150.py - Issue demonstration script

### Migration Reports → history/migration-reports/
- AGENT_MIGRATION_REPORT.md - Completed agent migration work
- ASSET_MODEL_MIGRATION.md - Completed asset model migration
- KAIZEN_MIGRATION_GAMEPLAN.md - Completed kaizen framework migration
- KAIZEN_UPDATE_REPORT.md - Completed kaizen update work
- PHASE_3_COMPLETION_REPORT.md - Completed phase 3 work
- PHASE_4_COMPLETION_REPORT.md - Completed phase 4 work

### Legacy Files → history/legacy-files/
- .env.tddai - Legacy TDD framework configuration
- README.html - Generated file (superseded by README.md)
- test_status.html - Generated test status file
- install-*.sh (5 files) - Legacy individual install scripts

## Benefits:
- **Cleaner Repository**: Base directory now focused on active development
- **Better Organization**: Historical files properly categorized and preserved
- **Improved Navigation**: Easier to find current vs. historical information
- **Preserved History**: All work artifacts maintained for reference

Repository now has 33 active files in base directory (reduced from 48)
with complete historical preservation in organized subdirectories.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 02:55:23 +02:00
d5d943a604 feat: update kaizen-agentic submodule reference
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Update submodule reference to include agent changes for TODO.md integration.
The kaizen-agentic framework now has updated project-management agent that
references TODO.md instead of NEXT.md, maintaining consistency with the
main project's todofile system adoption.

Submodule changes:
- Updated agent-project-management.md to use TODO.md workflow
- Modified session wrap-up protocol for todofile format
- Aligned with main project's todofile system implementation

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 02:51:51 +02:00
c5f49b2dd0 feat: implement todofile system and retire NEXT.md
Replace NEXT.md approach with standardized Keep a Todofile V0.0.1 format
for better task management and human-AI collaboration during coding sessions.

## Todofile System Setup:
- **TODO.md**: Main todofile following Keep a Todofile V0.0.1 format
- **TODOFILE_GUIDE.md**: Comprehensive system documentation and workflow
- **Integration**: Fully integrated with existing kaizen-agentic framework
- **Agent Support**: Uses agent-keepaTodofile for maintenance

## Content Migration:
- Migrated strategic priorities from NEXT.md to TODO.md [Unreleased] section
- Preserved session success criteria and development milestones
- Organized tasks by impact type (To Add, To Fix, To Refactor)
- Archived NEXT.md to history/NEXT_archived_20251025.md

## Documentation Updates:
- README.md: Updated "Next Actions" → "Current Tasks" link
- agent-project-management.md: Updated workflow to use TODO.md
- docs/README.md: Updated project management references
- Added comprehensive TODOFILE_GUIDE.md

## Benefits:
- **Standardized Format**: Industry-standard Keep a Todofile format
- **Better Organization**: Impact-based task categorization
- **AI-Ready**: Designed for human-AI collaboration workflows
- **Context Preservation**: Maintains coding flow across session interruptions
- **Integration Ready**: Works with existing agent and capability systems

Active tasks now in TODO.md [Unreleased] section focusing on strategic
issue resolution and capability management validation.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 02:48:45 +02:00
096017b93f feat: reorganize tests by capability with separate test targets
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Separate capability-specific tests from core system tests to establish clear
test organization and separation of concerns.

## Test Reorganization:
- **markitect-content tests**: Moved 6 tests to capabilities/markitect-content/tests/
- **markitect-finance tests**: Moved 7 tests to markitect/finance/tests/
- **markitect-query tests**: Moved 1 test to markitect/query_paradigms/tests/
- **markitect-graphql tests**: Moved 2 tests to markitect/graphql/tests/
- **markitect-plugins tests**: Moved 2 tests to markitect/plugins/tests/

## Makefile Updates:
- **make test**: Excludes capability tests, runs only core system tests
- **make test-capabilities**: Runs all capability tests
- **make test-capability-***: Individual capability test targets
- Updated all test targets (test-red, test-green, test-ultra-fast, test-perf)
- Added capability test targets to help documentation

## Benefits:
- Clear separation between core system tests and capability-specific tests
- Faster core test execution (capability tests not run by default)
- Individual capability testing for focused development
- Supports future capability extraction workflow
- Maintains capability test independence

Test verification:
- Core tests: 1291 tests (capability tests excluded)
- Finance capability: 143 tests working independently
- Content capability: 79 tests working independently

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 02:37:45 +02:00
f0dfd04d45 feat: add kaizen-agentic as submodule capability
- Add kaizen-agentic submodule from coulomb/kaizen-agentic repository
- Integrate as capabilities/kaizen-agentic/ following capability inclusion pattern
- Update CAPABILITY_REGISTRY.md with new AI agent framework capability
- Update CAPABILITY_INCLUSION_GUIDE.md directory structure
- Update capability metrics: 5 total capabilities, 3 submodules
- Establish kaizen-agentic integration pattern: cd capabilities/kaizen-agentic && make [command]

Extends capability inclusion architecture with:
- Advanced AI agent framework for autonomous development workflows
- Agent definitions, workflow automation, development patterns
- Clear separation from internal MarkiTect functionality

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 02:26:16 +02:00
6233d13f18 feat: reorganize capabilities directory structure for better separation
- Move issue-facade submodule from root to capabilities/ directory
- Update .gitmodules to reflect new submodule path: capabilities/issue-facade
- Update all documentation references to new capability paths
- Update agent definitions with new issue-facade location
- Establish logical organization: capabilities/ for all external dependencies
- Maintain wiki/ at root as project documentation, not reusable capability

Improves separation between:
- Project infrastructure (wiki/ at root)
- Reusable capabilities (capabilities/ directory)
- Internal code (markitect/ directory)

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 02:22:14 +02:00
747715af58 feat: complete comprehensive capability inclusion management system
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Implement revolutionary capability inclusion management system with complete
documentation ecosystem and automated discovery tools to prevent code duplication
and ensure proper separation of concerns.

Key accomplishments:
- Comprehensive capability documentation ecosystem (5 interconnected files)
- Clear separation: internal capabilities (what MarkiTect provides) vs external capabilities (what MarkiTect uses)
- Automated discovery tools preventing code duplication (make capability-search)
- AI-assistant optimized workflow with quick reference guide
- Enhanced project-assistant agent definition with capability inclusion workflow
- Updated README.md with clear links to capability documentation
- Complete session wrap-up with updated ProjectDiary.md, NEXT.md, and ProjectStatusDigest.md

Architecture milestone: Establishes MarkiTect as mature project with enterprise-grade
capability management, transforming development from ad-hoc implementation to
systematic capability management with automated duplication prevention.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 02:01:55 +02:00
62e7d13d7e feat: implement comprehensive capability inclusion management system
Added systematic approach to manage capability inclusion via subrepos and prevent code duplication. This addresses the architectural challenge of ensuring Claude recognizes, uses, and respects included capabilities.

New Capability Management System:
- CAPABILITY_REGISTRY.md: Complete registry of all included capabilities
- CLAUDE_CAPABILITY_REFERENCE.md: Quick lookup guide for Claude to prevent duplication
- tools/capability_discovery.py: Automated discovery and validation tool
- Makefile targets: capability-report, capability-search, capability-validate

Registry Coverage:
- Submodule capabilities: issue-facade (universal issue tracking), wiki (documentation)
- Local capabilities: markitect-content (content parsing), markitect-utils (utilities)
- External dependencies: Click, pytest, SQLAlchemy, requests

Agent Integration:
- Updated project-management and tdd-workflow agents with capability awareness
- Clear guidelines for checking existing functionality before implementing
- Integration patterns for using capabilities properly

Discovery & Validation:
- Automated capability discovery across submodules and local directories
- Search functionality to find existing implementations
- Validation tools to detect potential code duplication
- Claude-readable interfaces and usage patterns

Benefits:
- Prevents accidental functionality duplication
- Ensures proper separation of concerns
- Provides easy capability extension and bugfixing
- Maintains clean interfaces between core and capabilities
- Guides Claude to use existing capabilities efficiently

Usage:
- make capability-report: Generate complete capability overview
- make capability-search TERM=xyz: Find existing implementations
- make capability-validate FILE=path: Check for proper capability usage

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 01:40:43 +02:00
d402f3c75b feat: replace local issue-facade with standalone repository submodule
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Replaced the local issue-facade implementation with a git submodule pointing
to the standalone coulomb/issue-facade repository. This establishes clear
separation between the MarkiTect core project and the universal issue
management facade.

Changes:
- Removed local issue-facade-251025 directory
- Added coulomb/issue-facade as git submodule at issue-facade/
- Updated .gitmodules with submodule configuration
- Updated Claude Code permissions for submodule usage

The issue-facade is now maintained as a separate project while remaining
easily accessible as a submodule. This allows independent development and
versioning of the universal issue tracking facade while maintaining
integration with MarkiTect workflows.

Submodule URL: http://92.205.130.254:32166/coulomb/issue-facade.git
Current commit: 51aea5e (init: first extract of implementation)

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 01:19:21 +02:00
804848b40c fix: remove obsolete test for removed IssueActivity datamodel
Removed test_real_codebase_issueactivity test which was checking for the
existence of the IssueActivity datamodel that was removed during the
cleanup of the old issue management system.

The test was validating:
- Existence of IssueActivity class
- Specific optimization methods (has_implementation_activity, contains_keyword)
- Specific properties (activity_type_value, formatted_date, truncated_details)

Since the entire markitect/issues/ directory was removed in favor of the
issue-facade system, this test is no longer relevant. All other datamodel
optimizer tests continue to pass.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 01:11:14 +02:00
ce14d3b2de feat: update specialized agents to use new issue-facade system
Updated Claude Code agent configuration and specialized subagents to use the new issue-facade system instead of the deprecated tddai framework:

Agent Updates:
- Updated .claude/settings.local.json with issue-facade CLI permissions
- Removed obsolete tddai_cli.py reference from permissions
- Added permissions for issue-facade CLI commands

Subagent Updates:
- agent-project-management.md: Updated to reference issue-facade for issue management
- agent-requirements-engineering.md: Replaced tddai references with issue-facade
- agent-tdd-workflow.md: Comprehensive update to use issue-facade system
  - Renamed from tddai-assistant to tdd-workflow-assistant
  - Updated all command references to use issue-facade CLI
  - Replaced workspace structure with issue-facade architecture

The specialized subagents now properly leverage the universal issue-facade
system for backend-agnostic issue management across GitHub, GitLab, Gitea,
and local SQLite storage.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 01:03:04 +02:00
a8e5b4b044 refactor: remove obsolete issue management system in favor of issue-facade
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Complete cleanup of the legacy TDD AI and issue management system, establishing clear separation of concerns as requested. All issue handling is now provided by the standalone issue-facade system.

Removed components:
- TDD AI framework (tddai/ directory and tddai_cli.py)
- Legacy issue management CLI commands and services
- Issue-related Makefile targets and helper commands
- Obsolete tests and infrastructure dependencies
- Finance modules that depended on the old issue system

Updated:
- Makefile: Removed issue-*, tdd-*, and test-from-issue commands
- CLI framework: Simplified to core functionality only
- Documentation: Added deprecation notice for old config system

The issue-facade now serves as the universal CLI for issue tracking,
providing backend-agnostic interface to GitHub, GitLab, Gitea, and
local SQLite storage as documented in issue-facade/README.md.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-24 21:25:04 +02:00
cb94c92fc0 feat: implement universal issue tracking facade
Add comprehensive issue tracking facade system that provides a unified CLI interface to any issue tracking backend. The facade automatically detects the repository's issue tracker and provides consistent commands across all platforms.

Key features:
- Repository-aware automatic backend detection (GitHub, GitLab, Gitea, local SQLite)
- Unified CLI interface with same commands across all backends
- Plugin architecture for extensible backend support
- Local SQLite backend for offline development
- Gitea backend with full API integration
- Bidirectional synchronization between backends
- Performance-optimized domain models with caching
- Clean architecture with separation of concerns

The facade acts as a "universal remote control" for issue tracking systems, eliminating the need to learn different CLIs for each platform while providing seamless offline capability and cross-platform consistency.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-24 21:04:43 +02:00
4ceb6cce42 fix: make AssetManager registry path relative to storage_path by default
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This is a robust fix for test registry isolation that addresses the root cause:
when AssetManager is created with only storage_path, the registry now defaults
to storage_path.parent/asset_registry.json instead of cwd/asset_registry.json.

Benefits:
- Tests using temp directories automatically get isolated registries
- No need to manually fix every test file
- Consistent behavior: registry stays with the asset storage
- Explicit registry_path still works for custom configurations

This makes the AssetManager behavior more intuitive and prevents test
artifacts from contaminating the production asset registry.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-24 20:08:48 +02:00
9d3c6f3c81 fix: isolate additional test files from production asset registry
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- Fix test_issue_144_auto_discovery_workspace.py to use isolated test workspace
- Fix test_issue_144_asset_optimization.py to use isolated test workspace
- Ensure all AssetManager instances use test-specific registry paths
- Prevent additional test artifacts from contaminating production registry

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-24 19:58:18 +02:00
04a9173503 fix: isolate test artifacts from production asset registry
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- Create tests/test_utils.py with utilities for consistent test workspace management
- Fix tests to use project tmp/ directory instead of system /tmp
- Ensure all AssetManager instances in tests use isolated registries
- Prevent contamination of production asset_registry.json during testing

Key changes:
- test_issue_142_asset_manager.py: Fix AssetManager() calls to use test workspaces
- test_issue_144_batch_import.py: Use create_test_workspace() and get_test_asset_config()
- test_issue_145_production_error_handler.py: Use test_workspace() context manager
- tests/test_utils.py: New utilities for isolated test environments

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-24 19:53:19 +02:00
4b151bb9df docs: complete release preparation documentation for v0.2.0
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 Release preparation COMPLETE - ready for PyPI publication

DOCUMENTATION ADDED:
• RELEASE_INSTRUCTIONS.md - PyPI upload commands and procedures
• RELEASE_COMPLETED.md - Comprehensive completion report
• RELEASE_CHECKLIST.md - Validation checklist (all items )

RELEASE STATUS:
• 1983/1983 tests passing (100% success rate)
• Distribution packages built and validated
• Git tag v0.2.0 created with release notes
• All documentation updated for v0.2.0
• PyPI upload commands prepared

Ready for: python -m twine upload dist/*

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-20 07:30:21 +02:00
131 changed files with 3920 additions and 16942 deletions

6
.gitmodules vendored
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@@ -2,3 +2,9 @@
path = wiki
url = http://92.205.130.254:32166/coulomb/markitect_project.wiki.git
branch = main
[submodule "capabilities/issue-facade"]
path = capabilities/issue-facade
url = http://92.205.130.254:32166/coulomb/issue-facade.git
[submodule "capabilities/kaizen-agentic"]
path = capabilities/kaizen-agentic
url = http://92.205.130.254:32166/coulomb/kaizen-agentic.git

View File

@@ -1,426 +0,0 @@
# MarkiTect System Capabilities & Extraction Plan
> **Comprehensive overview of all capabilities, architectural innovations, and capability extraction recommendations for the ComposableRepositoryParadigm**
## Overview
- **Total Capabilities**: 73+ distinct capabilities
- **Test Categories**: 15 major functional areas
- **Test Coverage**: 348 tests across 27 test files
- **Architecture**: Database-driven system with AST-based markdown processing, multi-layer caching, and deep Git platform integration
- **Extraction Status**: 2 capabilities extracted, 11 candidates identified for extraction
---
## 🎯 Capability Extraction Analysis
### Extraction Criteria
Based on the ComposableRepositoryParadigm, capabilities should be extracted when they meet these criteria:
1. **Self-Contained Functionality**: Can operate independently with minimal dependencies
2. **Reusability**: Could be useful in other projects or contexts
3. **Clear Boundaries**: Has well-defined interfaces and responsibilities
4. **Test Coverage**: Has adequate test coverage (>80% preferred)
5. **Size**: Significant enough to warrant extraction (>3 files or >500 LOC)
6. **Domain Separation**: Represents a distinct domain or concern
### Current Extraction Status
#### ✅ **Already Extracted** (2 capabilities)
- `markitect-content` - Content matter parsing (frontmatter, contentmatter, tailmatter)
- `markitect-utils` - General utility functions (test capability)
#### 🎯 **Recommended for Extraction** (7 capabilities)
| Priority | Capability | Rationale | Complexity | Dependencies |
|----------|------------|-----------|------------|-------------|
| **HIGH** | `markitect-finance` | Complete financial tracking system, self-contained | High | Low |
| **HIGH** | `markitect-query-paradigms` | 14 different query paradigms, highly reusable | High | Medium |
| **HIGH** | `markitect-graphql` | Complete GraphQL interface, standalone value | Medium | Medium |
| **MEDIUM** | `markitect-plugins` | Plugin architecture framework | Medium | Low |
| **MEDIUM** | `markitect-matter-parsers` | All matter parsing capabilities (3 types) | Medium | Low |
| **MEDIUM** | `markitect-legacy` | Legacy compatibility layer | Low | Low |
| **LOW** | `markitect-issues` | Issue management system | High | High |
#### 🛑 **Not Recommended for Extraction** (Core System)
These modules form the core of MarkiTect and should remain in the main project:
- **Core Engine**: `cli.py`, `database.py`, `config_manager.py` - Main application logic
- **AST Processing**: `ast_*.py`, `parser.py`, `serializer.py` - Core markdown processing
- **Document Management**: `document_manager.py`, `batch_processor.py` - Core functionality
- **Validation**: `schema_*.py`, `validation_*.py` - System integrity
- **Performance**: `cache_service.py`, `performance_tracker.py` - Core performance
- **Templates**: `template/` - Core template engine
---
## 📦 Detailed Capability Extraction Recommendations
### 1. 🏆 **HIGH PRIORITY - markitect-finance**
**Current Location**: `markitect/finance/`
**Files to Extract**:
```
markitect/finance/
├── __init__.py # Package interface
├── allocation_engine.py # Cost allocation logic
├── cli.py # Finance CLI commands
├── cost_manager.py # Cost tracking
├── day_wrapup_commands.py # Daily summaries
├── models.py # Data models
├── period_manager.py # Period handling
├── report_generator.py # Financial reports
├── session_tracker.py # Session tracking
├── worktime_commands.py # Work time CLI
├── worktime_tracker.py # Time tracking
└── migrations/001_create_cost_tables.sql
```
**Why Extract**:
-**Self-Contained**: Complete financial tracking system
-**Reusable**: Could be used by other project management tools
-**Clear Boundaries**: Well-defined domain (finance/time tracking)
-**Size**: 11 files, substantial codebase
-**Dependencies**: Minimal external dependencies
**Extraction Benefits**:
- Could be reused in other project management systems
- Independent development and versioning
- Clear separation of financial concerns
### 2. 🏆 **HIGH PRIORITY - markitect-query-paradigms**
**Current Location**: `markitect/query_paradigms/`
**Files to Extract**:
```
markitect/query_paradigms/
├── __init__.py # Package interface
├── base.py # Base classes
├── cli.py # Query CLI
├── registry.py # Paradigm registry
└── paradigms/ # 14 different paradigms
├── batch_paradigm.py
├── fts_paradigm.py
├── graphql_paradigm.py
├── jsonpath_paradigm.py
├── natural_language_paradigm.py
├── nosql_paradigm.py
├── qbe_paradigm.py
├── rag_paradigm.py
├── rest_api_paradigm.py
├── sql_paradigm.py
├── transform_paradigm.py
├── unix_pipeline_paradigm.py
├── visual_builder_paradigm.py
└── xpath_paradigm.py
```
**Why Extract**:
-**Highly Reusable**: Query paradigms useful across many applications
-**Self-Contained**: Complete query abstraction system
-**Innovation**: Unique architectural contribution
-**Size**: 17+ files, substantial investment
**Extraction Benefits**:
- Could become a standalone query abstraction library
- High reusability potential across projects
- Independent evolution of query capabilities
### 3. 🏆 **HIGH PRIORITY - markitect-graphql**
**Current Location**: `markitect/graphql/`
**Files to Extract**:
```
markitect/graphql/
├── __init__.py # Package interface
├── resolvers.py # GraphQL resolvers
├── schema.py # GraphQL schema
└── server.py # GraphQL server
```
**Why Extract**:
-**Standalone Value**: Complete GraphQL API interface
-**Reusable**: GraphQL interfaces are broadly applicable
-**Clear Boundaries**: Well-defined API layer
-**Technology**: Uses standard GraphQL patterns
**Extraction Benefits**:
- Can be developed independently with GraphQL ecosystem
- Reusable across different backend systems
- Clear API versioning and evolution
### 4. 🥈 **MEDIUM PRIORITY - markitect-plugins**
**Current Location**: `markitect/plugins/`
**Files to Extract**:
```
markitect/plugins/
├── __init__.py # Package interface
├── base.py # Base plugin classes
├── decorators.py # Plugin decorators
├── manager.py # Plugin manager
├── registry.py # Plugin registry
└── builtin/ # Built-in plugins
├── formatters.py
├── processors.py
└── search/ # Search plugins
├── fts_search.py
├── indexer.py
└── query_parser.py
```
**Why Extract**:
-**Reusable**: Plugin architecture pattern broadly applicable
-**Self-Contained**: Complete plugin system
-**Size**: 9+ files, substantial codebase
**Extraction Benefits**:
- Plugin architecture could be reused in other applications
- Independent development of plugin ecosystem
- Clear extensibility patterns
### 5. 🥈 **MEDIUM PRIORITY - markitect-matter-parsers**
**Current Status**: `markitect-content` already extracted, but three separate parsers remain:
**Files to Extract**:
```
markitect/matter_frontmatter/ # Front matter parsing
markitect/matter_contentmatter/ # Content matter parsing
markitect/matter_tailmatter/ # Tail matter parsing
```
**Why Extract**:
-**Reusable**: Matter parsing useful for many markdown tools
-**Self-Contained**: Each parser is independent
-**Clear Domain**: Document structure parsing
**Extraction Benefits**:
- Could be used by other markdown processing tools
- Independent evolution of parsing capabilities
### 6. 🥈 **MEDIUM PRIORITY - markitect-legacy**
**Current Location**: `markitect/legacy/`
**Files to Extract**:
```
markitect/legacy/
├── __init__.py # Package interface
├── agent.py # Legacy agents
├── compatibility.py # Compatibility layer
├── deprecation.py # Deprecation handling
├── exceptions.py # Legacy exceptions
├── git_tracker.py # Legacy Git tracking
├── registry.py # Legacy registry
└── switches.py # Feature switches
```
**Why Extract**:
-**Self-Contained**: Complete legacy compatibility system
-**Bounded**: Will eventually be removed
-**Clean Separation**: Should not contaminate main codebase
**Extraction Benefits**:
- Keeps legacy code separate from main evolution
- Can be deprecated independently
- Clear migration path
### 7. 🥉 **LOW PRIORITY - markitect-issues**
**Current Location**: `markitect/issues/`
**Files to Extract**:
```
markitect/issues/
├── __init__.py # Package interface
├── activity_commands.py # Activity tracking
├── activity_tracker.py # Activity tracking
├── base.py # Base classes
├── commands.py # Issue CLI commands
├── exceptions.py # Issue exceptions
├── issue_wrapup_commands.py # Issue completion
├── manager.py # Issue manager
└── plugins/ # Issue plugins
├── gitea.py # Gitea integration
└── local.py # Local issues
```
**Why Lower Priority**:
- ⚠️ **High Dependencies**: Tightly integrated with core system
- ⚠️ **Complex**: Issue management is complex domain
- ⚠️ **Core Feature**: Central to MarkiTect's value proposition
**Consider for Later**:
- Extract after core system stabilizes
- Requires careful dependency analysis
- High integration complexity
---
## 🚀 Extraction Implementation Plan
### Phase 1: **High-Value, Low-Risk Extractions**
1. **markitect-finance** - Complete financial system
2. **markitect-graphql** - GraphQL interface
3. **markitect-legacy** - Legacy compatibility
### Phase 2: **Complex, High-Value Extractions**
4. **markitect-query-paradigms** - Query abstraction system
5. **markitect-plugins** - Plugin architecture
### Phase 3: **Specialized Extractions**
6. **markitect-matter-parsers** - Consolidate matter parsing
7. **markitect-issues** - Issue management (if dependencies allow)
### Phase 4: **Validation and Optimization**
- Test all extractions thoroughly
- Optimize inter-capability dependencies
- Document lessons learned
- Update ComposableRepositoryParadigm based on experience
---
## 📊 Extraction Impact Analysis
### Complexity vs. Value Matrix
```
High Value │ query-paradigms │ finance │
│ │ graphql │
│ │ │
│ plugins │ matter-parsers │
Low Value │ legacy │ issues │
────────────────────────────────────
Low Complexity High Complexity
```
### Recommended Extraction Order
1. **markitect-finance** (High Value, Medium Complexity) - Complete system
2. **markitect-graphql** (High Value, Low Complexity) - Clean API layer
3. **markitect-legacy** (Medium Value, Low Complexity) - Easy win
4. **markitect-query-paradigms** (High Value, High Complexity) - Big impact
5. **markitect-plugins** (Medium Value, Medium Complexity) - Architecture
6. **markitect-matter-parsers** (Medium Value, Low Complexity) - Consolidation
7. **markitect-issues** (High Value, High Complexity) - Complex integration
---
## 🎯 Success Criteria for Extractions
Each extracted capability must meet these criteria:
### Technical Requirements
-**Zero Parent Dependencies**: No imports from main markitect project
-**Complete Test Suite**: >80% test coverage
-**Independent Build**: Can be built and tested separately
-**Documentation**: Complete README and API documentation
-**Version Management**: Independent versioning with semver
### Quality Requirements
-**Type Safety**: Complete type annotations
-**Error Handling**: Comprehensive error handling
-**Performance**: No performance regressions
-**Security**: No security vulnerabilities introduced
### Process Requirements
-**Red-Green Testing**: All tests pass after extraction
-**CI/CD**: Independent CI/CD pipeline
-**Integration**: Smooth integration with main project
-**Migration Path**: Clear upgrade/downgrade paths
---
## 📋 Core MarkiTect Capabilities (Remain in Main Project)
### Core Architectural Paradigms
#### 1. Parse-Once, Manipulate-Many Architecture™
**Paradigm**: Single parsing operation creates multiple access pathways for document manipulation.
**Innovation**: Traditional markdown processors re-parse content for each operation. MarkiTect parses once and creates multiple fast-access representations:
- **AST Cache**: JSON-serialized Abstract Syntax Tree for lightning-fast loading
- **Database Metadata**: Structured front matter and document metadata
- **Original Content**: Preserved for integrity validation
#### 2. Database-First Metadata Management
**Paradigm**: Document metadata is treated as first-class relational data, not file-system artifacts.
#### 3. Performance-Validated Caching System
**Paradigm**: Cache performance is continuously validated against benchmarks, not assumed.
#### 4. TDD8 Methodology Integration
**Paradigm**: Issue-driven development with 8-step validation cycles.
### Core System Components
#### 🗄️ Database & Storage
- Database initialization and schema management
- Markdown file storage with metadata tracking
- SQL query execution with safety constraints
- Performance optimizations for large datasets
#### 📝 Markdown Processing
- Core AST conversion and manipulation
- Document modification through AST
- Roundtrip integrity validation
- Performance-optimized parsing
#### 🚀 Performance & Caching
- AST caching system with smart invalidation
- Performance benchmarking and validation
- Memory usage optimization
- Bulk operation efficiency
#### 🖥️ CLI Framework
- Command-line interface foundation
- Configuration management
- Error handling and validation
- Output formatting
#### 🔧 System Integration
- Configuration validation
- Environment detection
- Network connectivity
- File system validation
---
## 🎯 Future Roadmap
### Post-Extraction Goals
1. **Template System**: Create capability templates from successful extractions
2. **Dependency Checker**: Automated tools for dependency compliance
3. **CI/CD Patterns**: Establish patterns for capability CI/CD
4. **Integration Testing**: Cross-capability integration test framework
### Planned Extensions
- **Distributed Capabilities**: Multi-machine capability sharing
- **Capability Marketplace**: Public registry of MarkiTect capabilities
- **AI-Assisted Extraction**: Automated capability boundary detection
---
## 📚 Getting Started with Extractions
To begin capability extraction process:
1. **Validate Test Capability**: Ensure `markitect-utils` works correctly
2. **Choose Starting Point**: Begin with `markitect-finance` (high value, clear boundaries)
3. **Follow TDD Process**: Maintain test suite throughout extraction
4. **Document Experience**: Update this document with lessons learned
For detailed extraction procedures, see:
- `/wiki/ComposableRepositoryParadigm.md` - Extraction methodology
- `/capabilities/markitect-utils/VALIDATION_REPORT.md` - Process validation
---
*This capabilities analysis reflects the current state of the MarkiTect project and provides a roadmap for systematic capability extraction following the ComposableRepositoryParadigm. All recommendations are based on architectural analysis, dependency review, and reusability assessment.*

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@@ -1,100 +1,50 @@
# Changelog
## [0.5.0] - 2025-10-26
### Added
- **Clean TDD-Driven Editor Architecture**: Complete rewrite with object-oriented JavaScript architecture featuring Section, SectionManager, and DOMRenderer classes
- **Enhanced Test Framework**: Comprehensive testing framework with clean separation of concerns for robust development
- **Multiple Concurrent Section Editing**: Support for editing multiple sections simultaneously with intelligent management
- **Intelligent Section Splitting**: Advanced heading detection and section management capabilities
- **Four-Layer Content Management**: Sophisticated content state management (original, current, pending, editing layers)
- **Enhanced Status Dialog**: Repository info display showing version, git commit status, and actual save filename
- **Elegant Slide-in Control Panel**: Floating control panel for edit mode with improved UX
- **Intelligent Auto-sizing Textarea**: Optimal editing experience with smart textarea resizing
- **Enhanced Empty Line Preservation**: Better markdown structure preservation with automatic paragraph separation
### Fixed
- **Textarea Sizing and Font Preservation**: Resolved sizing issues and maintained consistent font rendering
- **Markdown Structure Preservation**: Fixed roundtrip formatting issues in save functionality
- **Section Duplication Prevention**: Eliminated duplicate sections when saving edited content
- **Section Position Preservation**: Prevented unwanted section jumping during editing
- **CSS Embedding Issues**: Resolved import errors in HTML template generation
- **Control Panel UX**: Hidden control ribbon when panel is expanded for cleaner interface
### Changed
- **Action Semantics**: Proper implementation of Accept, Cancel, and Reset operations
- **Global Reset Functionality**: Enhanced reset capabilities across the editor
- **Makefile Organization**: Reorganized installation targets for better user experience
### Technical Improvements
- Complete legacy editor system replacement
- Test-driven development approach implementation
- Enhanced UI/UX with better section positioning
- Improved content management workflow
## [0.4.0] - 2025-10-25
### Added
- feat: add comprehensive testing and error tracking for edit mode
### Fixed
- fix: resolve md-render --edit functionality and add enhanced version tracking
- fix: resolve critical JavaScript syntax errors in md-render --edit
- fix: resolve md-ingest Path object conversion error
### Other
- chore: clean up repository documentation files for release
All notable changes to MarkiTect will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [Unreleased]
## [0.2.0] - 2025-10-20
### Added
- **Production-Ready Asset Management System** with content-addressable storage
- **Advanced Performance Optimization** with 60-85% faster document processing
- **Enterprise-Grade Error Handling** with graceful recovery mechanisms
- **Comprehensive Test Suite** with 1983 tests and 100% success rate
- **GraphQL Interface** for advanced querying capabilities
- **Full-Text Search** with FTS5 backend and query optimization
- **Kaizen-Agentic Framework Integration** with 17 specialized development agents
- **Professional Documentation** with 20+ comprehensive guides
- **Cross-Platform Validation** for Unix/Windows/macOS compatibility
- **CLI Consolidation** with unified command interface
- **Template Rendering System** with validation and error handling
- **Cost Management & Tracking** with allocation engine and reporting
- **Issue Activity Tracking** with worktime distribution
- **Plugin Architecture** with builtin processors and extensible framework
- **Query Paradigms** supporting 14 different query approaches
- **Content-Matter Processing** with frontmatter, contentmatter, and tailmatter support
- Comprehensive installer system with Python and shell scripts
- Version and release information commands (`markitect version`, `markitect release`)
- Global `--version` flag for quick version checking
- Git integration for version metadata (commit, branch, tag information)
- Multiple output formats for release information (text, JSON, YAML)
- Installation documentation and troubleshooting guides
### Performance
- **60-85% performance improvement** through AST caching optimization
- **Sub-60ms asset processing** with efficient deduplication
- **Memory-efficient operations** with proper resource management
- **Scalable architecture** supporting large document collections
### Quality Assurance
- **1983 comprehensive tests** covering all functionality layers
- **Production validation suite** with cross-platform testing
- **Enterprise error handling** with graceful degradation
- **Type safety** with comprehensive type checking
- **Security validation** with input sanitization and safe operations
### Fixed
- All test failures resolved (1983/1983 tests passing)
- Visualization schema tests updated for correct tool paths
- Cache management test isolation issues
- Missing dependencies documentation and installation
- JavaScript syntax errors in edit mode initialization
- Asset registry synchronization and performance issues
- CLI command consolidation and interface consistency
### Documentation
- Added comprehensive INSTALL.md with installation instructions
- Added DEPENDENCIES.md with dependency information
- Created release process documentation
- **20+ documentation files** covering architecture, usage, and development
- Complete API documentation with examples
- Performance benchmarking guides and optimization tips
## [0.1.0] - 2025-10-03
### Added
- Initial MarkiTect implementation
- Core markdown processing with AST caching
- Front matter and content matter support
- Database integration for document metadata
- CLI interface with comprehensive commands
- Schema generation and validation
- Template rendering system
- Issue management integration
- TDD workflow tools (TDDAI)
- Comprehensive test suite with architectural layers
- Documentation and architectural guides
### Features
- Document ingestion and processing
- Metadata extraction and querying
- AST analysis and caching
- Content statistics and analysis
- Template-based document generation
- Associated file management
- Database operations with multiple output formats
- Performance monitoring and optimization
- Legacy compatibility system
### Technical
- Python 3.8+ support
- Click-based CLI framework
- SQLite database backend
- Markdown-it-py parser integration
- Comprehensive test coverage
- Type checking with mypy
- Code formatting with black
- Project structure following clean architecture principles

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@@ -1,239 +0,0 @@
# MarkiTect Concepts and Terminology
This document defines the core concepts, terminology, and architectural principles that drive the MarkiTect project.
## Project Vision
**"Your Markdown, Redefined"**
MarkiTect transforms markdown from plain text into intelligent, structured data with performance optimization, schema validation, and relational querying capabilities. Stop treating documentation as text files—start managing it as a database.
## Core Concepts
### Document Processing Philosophy
#### Intelligent Document Management
- **AST-First Processing**: Every document is parsed into an Abstract Syntax Tree for structured manipulation
- **Database-Driven Storage**: Documents are stored with relational metadata, not just as flat files
- **Performance-Optimized**: Intelligent caching reduces processing time by 60-85%
#### Schema-Driven Development
- **Document Schemas**: Define and enforce document structure and consistency
- **Template Systems**: Generate documents from templates with variable substitution
- **Validation Framework**: Ensure content meets predefined standards
### Key Terminology
#### Core Components
**MarkiTect Engine**
: The central processing system that parses, validates, and transforms markdown documents
**AST (Abstract Syntax Tree)**
: Structured representation of a markdown document's content and formatting
**Document Schema**
: JSON-based definition of document structure, frontmatter requirements, and content rules
**Template Engine**
: System for generating documents from templates with variable substitution (`{{variable}}` syntax)
**Performance Index**
: Weighted 0-100 scale measuring system performance across template, database, and ingestion operations
#### Data Structures
**Frontmatter**
: YAML/TOML metadata at the beginning of markdown documents containing structured information
**Contentmatter**
: Key-value pairs embedded within document content using MultiMarkdown syntax
**Tailmatter**
: QA checklists and editorial metadata at the end of documents for quality management
**Document Metadata**
: Relational data extracted from documents and stored in the database for querying
#### Processing Concepts
**Zero-Parsing Access**
: Ability to query document metadata without re-parsing the entire document
**Intelligent Caching**
: AST caching system that dramatically improves performance on subsequent document operations
**Relational Document Metadata**
: Document properties stored in a queryable database format rather than as flat text
## Architectural Principles
### Clean Architecture Foundation
#### Layered Design
```
┌─────────────────────────┐
│ Presentation Layer │ ← CLI, Web Interface
├─────────────────────────┤
│ Application Layer │ ← Use Cases, Workflows
├─────────────────────────┤
│ Domain Layer │ ← Business Logic
├─────────────────────────┤
│ Infrastructure Layer │ ← Database, File System
└─────────────────────────┘
```
#### Dependency Rules
- **Inward Dependencies**: Outer layers depend on inner layers, never the reverse
- **Business Logic Isolation**: Core domain logic is independent of external concerns
- **Interface Segregation**: Clean interfaces between layers
### Performance Philosophy
#### Optimization Strategy
1. **Cache-First**: Intelligent AST caching for repeated operations
2. **Lazy Loading**: Process only what's needed, when needed
3. **Batch Operations**: Efficient processing of multiple documents
4. **Memory Management**: Careful resource utilization and cleanup
#### Performance Metrics
- **Template Rendering**: Target >1000 operations/second
- **Database Operations**: Target >100 operations/second
- **Document Ingestion**: Target >1000 operations/second
- **Memory Usage**: Keep under 50MB baseline
### Quality Assurance
#### Testing Strategy
- **TDD8 Methodology**: Test-Driven Development with 8-step cycle
- **Comprehensive Coverage**: Unit, integration, and end-to-end testing
- **Performance Validation**: Automated benchmarking and regression detection
- **Quality Gates**: Automated checks preventing quality degradation
#### Documentation Standards
- **DRY Principle**: Don't Repeat Yourself - avoid documentation duplication
- **Arc42 Framework**: Structured architecture documentation when complexity warrants
- **Living Documentation**: Documentation that evolves with the code
## Business Concepts
### Use Cases
#### Document Automation
- **Invoice Generation**: Automated creation of business invoices from templates
- **Report Pipelines**: Batch processing of document collections
- **Content Management**: Structured content workflow management
#### Content Analysis
- **Metadata Extraction**: Automated extraction of document properties
- **Content Validation**: Enforcement of document standards and requirements
- **Relationship Mapping**: Understanding connections between documents
#### Performance Management
- **Regression Detection**: Automated identification of performance degradation
- **Optimization Tracking**: Measurement of improvement initiatives
- **Baseline Management**: Establishment and maintenance of performance standards
### Value Propositions
#### Primary USPs (Unique Selling Points)
1. **Relational Document Metadata**: Documents as queryable database entities
2. **Zero-Parsing Content Access**: Instant access to document information
3. **Performance-First Design**: Dramatically faster than traditional markdown processors
#### Enterprise Benefits
- **Consistency**: Schema validation ensures document standardization
- **Efficiency**: Automated workflows reduce manual document management
- **Scalability**: Performance optimization supports large document collections
- **Quality**: Built-in validation and testing ensure reliability
## Technical Concepts
### Data Flow Architecture
#### Document Ingestion Pipeline
```
Markdown → Parser → AST → Metadata → Database
↓ ↓ ↓ ↓ ↓
Cache Validate Schema Extract Store
```
#### Query Processing
```
Query → Database → Metadata → Reconstruct → Results
↓ ↓ ↓ ↓ ↓
Index Optimize Filter Transform Format
```
### Integration Patterns
#### CLI-First Design
- **Command-Line Interface**: Primary interaction method for automation
- **Scriptable Operations**: All functionality accessible via CLI commands
- **Pipeline Integration**: Designed for CI/CD and automated workflows
#### Database Integration
- **SQLite Backend**: Lightweight, embedded database for metadata storage
- **Relational Queries**: SQL-like operations on document collections
- **ACID Compliance**: Reliable data consistency and transaction safety
### Extension Points
#### Plugin Architecture
- **Modular Design**: Core functionality extended through plugins
- **Template Engines**: Multiple template processing backends
- **Output Formats**: Extensible document generation formats
#### External Integration
- **API Endpoints**: RESTful interfaces for external systems
- **Webhook Support**: Event-driven integration capabilities
- **Import/Export**: Data exchange with external tools and formats
## Development Concepts
### Workflow Methodology
#### TDD8 Cycle
1. **ISSUE**: Define problem and requirements
2. **TEST**: Write tests before implementation
3. **RED**: Ensure tests fail initially
4. **GREEN**: Implement minimum viable solution
5. **REFACTOR**: Improve code quality and design
6. **DOCUMENT**: Update documentation and examples
7. **REFINE**: Performance optimization and polish
8. **PUBLISH**: Release and communicate changes
#### Quality Standards
- **Code Coverage**: Minimum 80% test coverage
- **Performance Benchmarks**: All operations must meet performance targets
- **Documentation Currency**: Documentation updated with every feature change
- **Backward Compatibility**: Changes preserve existing functionality
### Maintenance Philosophy
#### Sustainable Development
- **Technical Debt Management**: Regular refactoring and code quality improvement
- **Performance Monitoring**: Continuous tracking of system performance
- **User Experience Focus**: Features designed from user workflow perspective
- **Community Engagement**: Open source collaboration and contribution
#### Future-Proofing
- **Modular Architecture**: Easy addition of new features and capabilities
- **Standard Compliance**: Adherence to markdown and web standards
- **Scalability Design**: Architecture supports growth in users and document volume
- **Technology Evolution**: Designed to adapt to changing technology landscape
## Glossary
**Arc42**: Architecture documentation framework for technical communication
**AST**: Abstract Syntax Tree - structured representation of document content
**CLI**: Command-Line Interface - text-based user interface
**DRY**: Don't Repeat Yourself - principle of reducing duplication
**TDD**: Test-Driven Development - testing methodology
**TOML**: Tom's Obvious Minimal Language - configuration file format
**USP**: Unique Selling Point - distinctive business advantage
**YAML**: YAML Ain't Markup Language - human-readable data serialization
---
This document serves as the foundation for understanding MarkiTect's design philosophy, technical approach, and business value proposition. It should be consulted when making architectural decisions or explaining the project to new contributors.

201
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# TDDAi Configuration Management
The tddai framework uses a flexible, hierarchical configuration system designed for project-agnostic deployment while supporting per-project customization.
## Configuration Hierarchy
Configuration values are loaded in the following priority order (highest to lowest):
1. **Environment Variables** - Runtime overrides (highest priority)
2. **`.env.tddai` File** - Project-specific configuration (auto-loaded)
3. **Default Values** - Framework defaults (fallback)
## Quick Start
### Automatic Configuration (Recommended)
The framework automatically loads `.env.tddai` from the current directory:
```bash
# Configuration loaded automatically
make tdd-status
make tdd-start NUM=5
```
### Manual Configuration
You can also source the setup script manually:
```bash
source tddai-setup.sh
make tdd-status
```
## Configuration Options
### Repository Settings (Required)
| Variable | Description | Example | Required |
|----------|-------------|---------|----------|
| `TDDAI_GITEA_URL` | Git platform URL | `https://github.com` | ✅ |
| `TDDAI_REPO_OWNER` | Repository owner/org | `myusername` | ✅ |
| `TDDAI_REPO_NAME` | Repository name | `myproject` | ✅ |
### Workspace Settings (Optional)
| Variable | Description | Default | Example |
|----------|-------------|---------|---------|
| `TDDAI_WORKSPACE_DIR` | TDD workspace directory | `.tddai_workspace` | `.myproject_workspace` |
### Test Settings (Framework Defaults)
| Setting | Value | Description |
|---------|-------|-------------|
| `tests_dir` | `tests/` | Main test directory |
| `test_file_pattern` | `test_issue_{issue_num}_{scenario}.py` | Test file naming pattern |
| `current_issue_file` | `current_issue.json` | Active issue metadata file |
## Configuration Files
### `.env.tddai` Format
```bash
# TDDAi configuration for YourProject
# Repository settings
TDDAI_GITEA_URL=https://your-git-platform.com
TDDAI_REPO_OWNER=yourusername
TDDAI_REPO_NAME=yourproject
# Workspace settings (optional)
TDDAI_WORKSPACE_DIR=.yourproject_workspace
```
### `tddai-setup.sh` Format
```bash
#!/bin/bash
# TDDAi environment setup script
export TDDAI_GITEA_URL=https://your-git-platform.com
export TDDAI_REPO_OWNER=yourusername
export TDDAI_REPO_NAME=yourproject
export TDDAI_WORKSPACE_DIR=.yourproject_workspace
echo "✅ TDDAi configured for YourProject"
```
## Platform Examples
### GitHub Configuration
```bash
TDDAI_GITEA_URL=https://github.com
TDDAI_REPO_OWNER=yourusername
TDDAI_REPO_NAME=yourrepo
```
### GitLab Configuration
```bash
TDDAI_GITEA_URL=https://gitlab.com
TDDAI_REPO_OWNER=yourusername
TDDAI_REPO_NAME=yourrepo
```
### Self-hosted Gitea
```bash
TDDAI_GITEA_URL=https://git.yourcompany.com
TDDAI_REPO_OWNER=yourorganization
TDDAI_REPO_NAME=yourproject
```
## API Integration
The configuration automatically constructs API URLs:
```python
# Constructed from configuration
issues_api_url = f"{TDDAI_GITEA_URL}/api/v1/repos/{TDDAI_REPO_OWNER}/{TDDAI_REPO_NAME}/issues"
```
## Workspace Structure
Default workspace layout (configurable via `TDDAI_WORKSPACE_DIR`):
```
.tddai_workspace/
├── current_issue.json # Active issue metadata
└── issue_X/ # Issue-specific workspace
├── tests/ # Test files for this issue
│ └── test_issue_X_*.py # Generated test files
├── requirements.md # Issue requirements analysis
└── test_plan.md # Test planning document
```
## Environment Variable Overrides
You can override any configuration at runtime:
```bash
# Override workspace directory for this session
TDDAI_WORKSPACE_DIR=.custom_workspace make tdd-start NUM=5
# Override repository for testing
TDDAI_REPO_NAME=test_repo make tdd-status
```
## Validation
The framework validates configuration on startup:
- **Required fields** must be non-empty (`gitea_url`, `repo_owner`, `repo_name`)
- **URLs** should include protocol (`http://` or `https://`)
- **Workspace directories** are created automatically if they don't exist
## Troubleshooting
### Common Errors
**`gitea_url cannot be empty`**
- Solution: Create `.env.tddai` with `TDDAI_GITEA_URL=your-url`
- Alternative: Run `source tddai-setup.sh` before tddai commands
**`repo_owner cannot be empty`**
- Solution: Set `TDDAI_REPO_OWNER` in `.env.tddai` or environment
**`repo_name cannot be empty`**
- Solution: Set `TDDAI_REPO_NAME` in `.env.tddai` or environment
### Debug Configuration
```bash
# Check current configuration
python -c "from tddai.config import get_config; c=get_config(); print(f'URL: {c.gitea_url}\\nOwner: {c.repo_owner}\\nRepo: {c.repo_name}\\nWorkspace: {c.workspace_dir}')"
```
## Migration from Other Projects
When adapting tddai for a new project:
1. **Copy configuration template**:
```bash
cp .env.tddai.example .env.tddai
```
2. **Update repository settings**:
```bash
# Edit .env.tddai
TDDAI_GITEA_URL=https://your-platform.com
TDDAI_REPO_OWNER=your-username
TDDAI_REPO_NAME=your-project
```
3. **Test configuration**:
```bash
make tdd-status
```
## Best Practices
- **Use `.env.tddai`** for project-specific settings
- **Use environment variables** for temporary overrides
- **Keep configuration in version control** (but exclude sensitive tokens)
- **Document custom workspace naming** in project README
- **Validate configuration** before starting development sessions
---
*This configuration system supports the TDD8 methodology (ISSUE-TEST-RED-GREEN-REFACTOR-DOCUMENT-REFINE-PUBLISH) across any software development project with issue tracking.*

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@@ -1,92 +0,0 @@
# MarkiTect Project Dependencies
## Overview
This document lists all project dependencies for the MarkiTect project.
## Production Dependencies
These are required for running the application:
- **markdown-it-py** - Markdown parsing library
- **PyYAML** - YAML file processing
- **click>=8.0.0** - Command-line interface framework
- **tabulate>=0.9.0** - Table formatting for output
- **jsonpath-ng>=1.5.0** - JSONPath query support
- **aiohttp>=3.8.0** - Async HTTP client/server
- **toml** - TOML file parsing (for frontmatter support)
## Development Dependencies
These are required for development, testing, and code quality:
- **pytest** - Testing framework
- **pytest-cov** - Test coverage reporting
- **black** - Code formatting
- **flake8** - Code linting
- **mypy** - Type checking
## Test Dependencies
Additional dependencies for testing (from tests/requirements-test.txt if present):
- See `tests/requirements-test.txt` for any additional test-specific dependencies
## Installation
### Quick Setup
```bash
# Install production dependencies only
pip install -e .
# Install with development dependencies
make dev
```
### Manual Installation
```bash
# Production dependencies
pip install markdown-it-py PyYAML click>=8.0.0 tabulate>=0.9.0 jsonpath-ng>=1.5.0 aiohttp>=3.8.0 toml
# Development dependencies
pip install pytest pytest-cov black flake8 mypy
```
### Virtual Environment Setup
```bash
# Create and activate virtual environment
python3 -m venv .venv
source .venv/bin/activate
# Install dependencies
make dev
```
## Running Tests
After installing dependencies:
```bash
# Run all tests
make test
# Run tests with coverage
pytest --cov
# Run specific test layers
make test-foundation
make test-infrastructure
make test-integration
```
## Code Quality Tools
```bash
# Format code
make format
# Run linting
make lint
# Type checking
mypy markitect/
```
## Notes
- Python 3.8+ is required
- Virtual environment (.venv) is recommended
- All dependencies are managed through pyproject.toml

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# MarkiTect Installation Guide
This document describes how to install MarkiTect and make it available system-wide.
## Quick Installation
For most users, the quick installer is the easiest option:
```bash
# Install for current user
./install.sh
# Install system-wide (requires sudo)
./install.sh --system
# Install in development mode with test dependencies
./install.sh --dev
```
## Advanced Installation
For more control over the installation process, use the Python installer:
```bash
# Install with custom prefix
python install.py --prefix /opt/markitect
# Install with custom virtual environment location
python install.py --venv-dir /path/to/custom/venv
# Install without creating symbolic links (manual PATH setup)
python install.py --no-symlinks
# Force reinstallation over existing installation
python install.py --force
```
## Installation Options
### Installation Types
- **User Installation** (default): Installs to `~/.local/`
- **System Installation** (`--system`): Installs to `/usr/local/` (requires sudo)
- **Development Installation** (`--dev`): Installs in editable mode with test dependencies
### Installation Paths
By default, MarkiTect is installed to:
- **User installation**: `~/.local/lib/markitect/` (virtual environment)
- **System installation**: `/usr/local/lib/markitect/` (virtual environment)
- **Binaries**: `~/.local/bin/` or `/usr/local/bin/`
### Available Commands
After installation, these commands will be available:
- `markitect` - Main MarkiTect CLI
- `tddai` - TDD workflow management
- `issue` - Issue management
## Checking Installation
Check if MarkiTect is already installed:
```bash
./install.sh --check
# or
python install.py --check
```
Check version after installation:
```bash
markitect version
markitect version --short
markitect release
```
## Uninstallation
To remove MarkiTect:
```bash
./install.sh --uninstall
# or
python install.py --uninstall
```
## Manual Installation
If you prefer to install manually:
1. **Create virtual environment:**
```bash
python -m venv ~/.local/lib/markitect
```
2. **Activate virtual environment:**
```bash
source ~/.local/lib/markitect/bin/activate
```
3. **Install MarkiTect:**
```bash
pip install -e .
```
4. **Create symbolic links:**
```bash
mkdir -p ~/.local/bin
ln -sf ~/.local/lib/markitect/bin/markitect ~/.local/bin/markitect
ln -sf ~/.local/lib/markitect/bin/tddai ~/.local/bin/tddai
ln -sf ~/.local/lib/markitect/bin/issue ~/.local/bin/issue
```
5. **Add to PATH** (add to `~/.bashrc` or `~/.zshrc`):
```bash
export PATH="$HOME/.local/bin:$PATH"
```
## Development Installation
For development work:
```bash
# Install in development mode
./install.sh --dev
# This includes:
# - Editable installation (changes reflect immediately)
# - Test dependencies (pytest, black, flake8, mypy)
# - All development tools
```
## Troubleshooting
### Common Issues
1. **Command not found after installation:**
- Make sure `~/.local/bin` is in your PATH
- Run: `export PATH="$HOME/.local/bin:$PATH"`
- Add the export to your shell profile
2. **Permission denied on system installation:**
- Use `sudo ./install.sh --system`
- Or install to user directory instead
3. **Python version error:**
- MarkiTect requires Python 3.8 or higher
- Check version: `python3 --version`
4. **Installation already exists:**
- Use `--force` to overwrite: `./install.sh --force`
- Or uninstall first: `./install.sh --uninstall`
### Manual PATH Setup
If symbolic links don't work, add the virtual environment bin directory to your PATH:
```bash
# For bash/zsh (add to ~/.bashrc or ~/.zshrc)
export PATH="$HOME/.local/lib/markitect/bin:$PATH"
# For fish (add to ~/.config/fish/config.fish)
set -gx PATH $HOME/.local/lib/markitect/bin $PATH
```
### Testing Installation
After installation, verify everything works:
```bash
# Test basic functionality
markitect --help
markitect version
# Test TDD tools
tddai --help
# Test issue management
issue --help
```
## Dependencies
MarkiTect automatically installs these dependencies:
### Production Dependencies
- markdown-it-py - Markdown parsing
- PyYAML - YAML processing
- click>=8.0.0 - CLI framework
- tabulate>=0.9.0 - Table formatting
- jsonpath-ng>=1.5.0 - JSONPath queries
- aiohttp>=3.8.0 - Async HTTP client
- toml - TOML file parsing
### Development Dependencies (with --dev)
- pytest - Testing framework
- pytest-cov - Test coverage
- black - Code formatting
- flake8 - Code linting
- mypy - Type checking
## System Requirements
- Python 3.8 or higher
- pip (Python package installer)
- git (optional, for version info)
- Unix-like system (Linux, macOS) or Windows with Python support
## Support
For installation issues:
1. Check this guide first
2. Run `./install.sh --check` to diagnose problems
3. See the main project documentation
4. Report issues on the project issue tracker

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@@ -1,32 +0,0 @@
# MIT License
Copyright (c) 2025 MarkiTect Project
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
## Additional Information
This project uses the MIT License to promote open source collaboration while protecting contributors. The MIT License is:
- **Permissive**: Allows commercial and private use
- **Simple**: Easy to understand and implement
- **Compatible**: Works well with other open source licenses
- **Widely Adopted**: Recognized and trusted in the open source community
For questions about licensing or commercial use, please contact the project maintainers.

442
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@@ -1,7 +1,7 @@
# MarkiTect - Advanced Markdown Engine
# Makefile for common development tasks
.PHONY: help setup install-dev install-home install-home-venv install-deps install-deps-force install-deps-venv install-system list-deps setup-dev test build clean update status lint format check-deps venv-status update-digest add-diary-entry issue-list issue-show issue-list-open issue-create issue-close issue-close-enhanced issue-close-batch issue-get issue-csv issue-json issue-high test-from-issue tdd-start tdd-add-test tdd-finish tdd-status test-status test-new test-coverage test-arch test-foundation test-infrastructure test-integration test-domain test-service test-application test-presentation test-quick test-layers test-random test-random-seed test-random-repeat test-install-randomly test-clean test-tdd test-changed test-module test-cache-clean test-efficient cli-help release-status release-validate release-prepare release-build release-publish release-dry-run chaos-validate chaos-matrix chaos-inject chaos-report cost-help cost-note-issue
.PHONY: help setup install install-dev uninstall install-home install-home-venv install-user-deps install-force-deps install-deps-venv install-system-deps list-deps setup-dev test build clean update status lint format check-deps venv-status update-digest add-diary-entry test-status test-new test-coverage test-arch test-foundation test-infrastructure test-integration test-domain test-service test-application test-presentation test-quick test-layers test-random test-random-seed test-random-repeat test-install-randomly test-clean test-tdd test-changed test-module test-cache-clean test-efficient cli-help release-status release-validate release-prepare release-build release-publish release-dry-run chaos-validate chaos-matrix chaos-inject chaos-report cost-help
# Default target
help:
@@ -13,22 +13,24 @@ help:
@echo ""
@echo "Setup & Installation:"
@echo " setup - Initial project setup (venv + install-dev)"
@echo " install - Install markitect globally (recommended)"
@echo " install-dev - Install package in development mode"
@echo " install-home - Install markitect binary to ~/bin/"
@echo " install-deps - Install dependencies (tries user-local first)"
@echo " install-deps-force - Force install with --break-system-packages"
@echo " install-deps-venv - Install to user virtual environment"
@echo " install-home-venv - Install binary using user virtual environment"
@echo " install-system - Install system dependencies via apt (requires sudo)"
@echo " uninstall - Remove global markitect installation"
@echo " list-deps - List required dependencies for markitect"
@echo " setup-dev - Install with development dependencies"
@echo " venv-status - Check if venv is active"
@echo ""
@echo "Advanced Installation:"
@echo " install-user-deps - Install dependencies to user location only"
@echo " install-system-deps - Install dependencies via system packages (sudo)"
@echo " install-force-deps - Force install with --break-system-packages"
@echo ""
@echo "Development:"
@echo " test - Run all tests"
@echo " test - Run core tests (excluding capability-specific tests)"
@echo " test-capabilities - Run all capability-specific tests"
@echo " test-capability-* - Run specific capability tests (content, utils, finance, etc.)"
@echo " test-status - Show test status summary without re-running"
@echo " test-new - Create new test file template"
@echo " test-coverage ISSUE=X - Analyze test coverage for issue"
@echo " test-coverage - Analyze test coverage"
@echo " build - Build the package"
@echo " lint - Run code linting"
@echo " format - Format code"
@@ -49,7 +51,6 @@ help:
@echo ""
@echo "Cost Tracking:"
@echo " cost-help - Show cost tracking commands and usage"
@echo " cost-note-issue ISSUE=X INPUT_TOKENS=N OUTPUT_TOKENS=M - Generate cost note for issue"
@echo ""
@echo "Architectural Testing:"
@echo " test-arch - Run all tests in architectural order"
@@ -82,32 +83,17 @@ help:
@echo " status - Show git status for repo and submodules"
@echo " clean - Clean build artifacts"
@echo " check-deps - Check dependency status"
@echo " validate-js - Validate JavaScript syntax in templates"
@echo ""
@echo "Documentation:"
@echo " update-digest - Update ProjectStatusDigest.md (requires Claude Code)"
@echo " add-diary-entry - Add new entry to ProjectDiary.md (requires Claude Code)"
@echo ""
@echo "Issue Management:"
@echo " issue-list - Show all gitea issues with status and priority"
@echo " issue-list-open - Show only open issues (active backlog)"
@echo " issue-create TITLE='...' BODY='...' - Create a new issue (or BODY_FILE='/path/to/file.md')"
@echo " issue-show ISSUE=X (or NUM=X) - Show detailed view of specific issue"
@echo " issue-close ISSUE=X [COMMENT='reason'] - Close an issue and mark as completed"
@echo " issue-close-enhanced ISSUE=X [WORK='description'] - Close issue with enhanced functionality"
@echo " issue-close-batch NUMS='X Y Z' [COMMENT='reason'] - Close multiple issues at once"
@echo " issue-get - Export compact issue index to ISSUES.index"
@echo " issue-csv - Export issues as CSV for spreadsheet processing"
@echo " issue-json - Export issues as JSON for programmatic processing"
@echo " issue-high - Export only high/critical priority issues"
@echo "Capability Management:"
@echo " capability-report - Generate capability discovery report"
@echo " capability-search TERM=xyz - Search for functionality across capabilities"
@echo " capability-validate FILE=path - Validate proper capability usage in file"
@echo ""
@echo "Test-Driven Development:"
@echo " test-from-issue ISSUE=X - Generate test skeleton from issue (requires Claude Code)"
@echo ""
@echo "TDD Workspace:"
@echo " tdd-start ISSUE=X - Start working on issue (with requirements validation)"
@echo " tdd-add-test - Add test to current issue workspace"
@echo " tdd-status - Show current workspace state"
@echo " tdd-finish - Complete issue work (moves tests to main)"
@echo ""
@echo "Requirements Engineering:"
@echo " validate-requirements - Analyze foundations before development"
@@ -155,6 +141,40 @@ $(VENV)/bin/activate:
$(PYTHON) -m venv $(VENV)
$(VENV_PIP) install --upgrade pip setuptools wheel
# Install markitect globally (recommended approach)
install:
@echo "🚀 Installing MarkiTect globally..."
@echo "📦 Creating user virtual environment with dependencies..."
@$(MAKE) --no-print-directory install-deps-venv
@echo "🏠 Installing markitect binary to ~/bin/..."
@$(MAKE) --no-print-directory install-home-venv
@echo ""
@echo "✅ MarkiTect installed successfully!"
@echo "💡 Make sure ~/bin is in your PATH:"
@echo " export PATH=\"$$HOME/bin:$$PATH\""
@echo ""
@echo "🧪 Test installation:"
@echo " markitect version"
# Remove global markitect installation
uninstall:
@echo "🗑️ Removing MarkiTect global installation..."
@if [ -f "$$HOME/bin/markitect" ]; then \
echo " Removing binary: $$HOME/bin/markitect"; \
rm "$$HOME/bin/markitect"; \
echo " ✅ Binary removed"; \
else \
echo " Binary not found at $$HOME/bin/markitect"; \
fi
@if [ -d "$$HOME/.local/markitect-venv" ]; then \
echo " Removing virtual environment: $$HOME/.local/markitect-venv"; \
rm -rf "$$HOME/.local/markitect-venv"; \
echo " ✅ Virtual environment removed"; \
else \
echo " Virtual environment not found"; \
fi
@echo "✅ MarkiTect uninstalled successfully!"
# Install package in development mode
install-dev: $(VENV)/bin/activate
@echo "📦 Installing MarkiTect in development mode..."
@@ -229,13 +249,14 @@ list-deps:
@echo " toml - TOML configuration parsing"
@echo ""
@echo "🔧 Installation options:"
@echo " make install-deps - Install user-local (recommended)"
@echo " make install-system - Install via apt + pip --user (requires sudo)"
@echo " make install - Install globally (recommended)"
@echo " make install-user-deps - Install user-local dependencies only"
@echo " make install-system-deps - Install via apt + pip --user (requires sudo)"
@echo " pip3 install --user [packages] - Manual user-local installation"
@echo " pip install -e . - Install from project directory (dev mode)"
# Install user-local dependencies for markitect (no sudo needed)
install-deps:
install-user-deps:
@echo "📦 Installing MarkiTect dependencies (user-local)..."
@echo "🐍 Target Python: $$(which python3) (version: $$(python3 --version))"
@echo "📍 pip3 location: $$(which pip3)"
@@ -247,12 +268,12 @@ install-deps:
echo "❌ User-local installation failed (externally-managed-environment)"; \
echo ""; \
echo "🔧 Alternative solutions:"; \
echo " 1. Use system packages: make install-system"; \
echo " 2. Override restriction: make install-deps-force"; \
echo " 1. Use system packages: make install-system-deps"; \
echo " 2. Override restriction: make install-force-deps"; \
echo " 3. Create user venv: make install-deps-venv"; \
echo " 4. Use development setup: make setup"; \
echo ""; \
echo "💡 Recommended: Try 'make install-system' first"; \
echo "💡 Recommended: Try 'make install' for complete setup"; \
exit 1; \
fi
@echo "🧪 Testing import..."
@@ -260,7 +281,7 @@ install-deps:
@echo "💡 You can now use 'markitect' command if it's in your PATH"
# Force install user-local dependencies (overrides externally-managed restriction)
install-deps-force:
install-force-deps:
@echo "📦 Force installing MarkiTect dependencies (overriding restrictions)..."
@echo "⚠️ This uses --break-system-packages flag"
@echo " Only use if you understand the implications"
@@ -301,7 +322,7 @@ install-deps-venv:
@echo "💡 To use this, run 'make install-home-venv' instead of 'make install-home'"
# Install system dependencies via apt (requires sudo)
install-system:
install-system-deps:
@echo "📦 Installing MarkiTect dependencies via apt..."
@echo "⚠️ This requires sudo and installs system packages"
@echo ""
@@ -327,7 +348,7 @@ install-system:
echo "💡 You can now use 'markitect' command if it's in your PATH"; \
else \
echo "❌ Installation cancelled"; \
echo "💡 Alternative: Use 'make install-deps' for user-local installation"; \
echo "💡 Alternative: Use 'make install' for automated setup"; \
fi
# Install with development dependencies
@@ -337,25 +358,77 @@ setup-dev: install-dev
# Run tests
test: $(VENV)/bin/activate
@echo "🧪 Running tests..."
@echo "🧪 Running core tests (excluding capability-specific tests)..."
@if [ -f $(VENV)/bin/pytest ]; then \
PYTHONPATH=. $(VENV)/bin/pytest tests/ -v; \
PYTHONPATH=. $(VENV)/bin/pytest tests/ -v \
--ignore=capabilities/markitect-content/tests/ \
--ignore=capabilities/markitect-utils/tests/ \
--ignore=markitect/finance/tests/ \
--ignore=markitect/query_paradigms/tests/ \
--ignore=markitect/graphql/tests/ \
--ignore=markitect/plugins/tests/; \
else \
PYTHONPATH=. $(VENV_PYTHON) -m pytest tests/ -v 2>/dev/null || \
PYTHONPATH=. $(VENV_PYTHON) -m pytest tests/ -v \
--ignore=capabilities/markitect-content/tests/ \
--ignore=capabilities/markitect-utils/tests/ \
--ignore=markitect/finance/tests/ \
--ignore=markitect/query_paradigms/tests/ \
--ignore=markitect/graphql/tests/ \
--ignore=markitect/plugins/tests/ 2>/dev/null || \
PYTHONPATH=. $(VENV_PYTHON) -m unittest discover tests/ -v; \
fi
# Capability-Specific Test Targets
test-capabilities: test-capability-content test-capability-utils test-capability-finance test-capability-query test-capability-graphql test-capability-plugins
@echo "✅ All capability tests completed"
test-capability-content: $(VENV)/bin/activate
@echo "🧪 Running markitect-content capability tests..."
@cd capabilities/markitect-content && python -m pytest tests/ -v
test-capability-utils: $(VENV)/bin/activate
@echo "🧪 Running markitect-utils capability tests..."
@cd capabilities/markitect-utils && python -m pytest tests/ -v
test-capability-finance: $(VENV)/bin/activate
@echo "🧪 Running finance capability tests..."
@PYTHONPATH=. $(VENV_PYTHON) -m pytest markitect/finance/tests/ -v
test-capability-query: $(VENV)/bin/activate
@echo "🧪 Running query paradigms capability tests..."
@PYTHONPATH=. $(VENV_PYTHON) -m pytest markitect/query_paradigms/tests/ -v
test-capability-graphql: $(VENV)/bin/activate
@echo "🧪 Running GraphQL capability tests..."
@PYTHONPATH=. $(VENV_PYTHON) -m pytest markitect/graphql/tests/ -v
test-capability-plugins: $(VENV)/bin/activate
@echo "🧪 Running plugins capability tests..."
@PYTHONPATH=. $(VENV_PYTHON) -m pytest markitect/plugins/tests/ -v
# TDD8 Workflow Optimized Test Targets (Issue #57)
# Fast test execution for TDD red phase
test-red: $(VENV)/bin/activate
@echo "🔴 TDD Red Phase - Fast test execution..."
PYTHONPATH=. $(VENV_PYTHON) -m pytest tests/ -x --maxfail=1 --tb=short -q
PYTHONPATH=. $(VENV_PYTHON) -m pytest tests/ -x --maxfail=1 --tb=short -q \
--ignore=capabilities/markitect-content/tests/ \
--ignore=capabilities/markitect-utils/tests/ \
--ignore=markitect/finance/tests/ \
--ignore=markitect/query_paradigms/tests/ \
--ignore=markitect/graphql/tests/ \
--ignore=markitect/plugins/tests/
# Comprehensive test execution for TDD green phase
test-green: $(VENV)/bin/activate
@echo "🟢 TDD Green Phase - Comprehensive validation..."
PYTHONPATH=. $(VENV_PYTHON) -m pytest tests/ --tb=short
PYTHONPATH=. $(VENV_PYTHON) -m pytest tests/ --tb=short \
--ignore=capabilities/markitect-content/tests/ \
--ignore=capabilities/markitect-utils/tests/ \
--ignore=markitect/finance/tests/ \
--ignore=markitect/query_paradigms/tests/ \
--ignore=markitect/graphql/tests/ \
--ignore=markitect/plugins/tests/
# Smart test selection - changed files only
test-smart: $(VENV)/bin/activate
@@ -371,12 +444,24 @@ test-smart: $(VENV)/bin/activate
# Ultra-fast test execution
test-ultra-fast: $(VENV)/bin/activate
@echo "⚡ Ultra-fast test execution..."
PYTHONPATH=. $(VENV_PYTHON) -m pytest tests/ -m "not slow" --maxfail=1 -x -q
PYTHONPATH=. $(VENV_PYTHON) -m pytest tests/ -m "not slow" --maxfail=1 -x -q \
--ignore=capabilities/markitect-content/tests/ \
--ignore=capabilities/markitect-utils/tests/ \
--ignore=markitect/finance/tests/ \
--ignore=markitect/query_paradigms/tests/ \
--ignore=markitect/graphql/tests/ \
--ignore=markitect/plugins/tests/
# Test with performance monitoring
test-perf: $(VENV)/bin/activate
@echo "📊 Test execution with performance monitoring..."
PYTHONPATH=. $(VENV_PYTHON) -m pytest tests/ --durations=10 --tb=short
PYTHONPATH=. $(VENV_PYTHON) -m pytest tests/ --durations=10 --tb=short \
--ignore=capabilities/markitect-content/tests/ \
--ignore=capabilities/markitect-utils/tests/ \
--ignore=markitect/finance/tests/ \
--ignore=markitect/query_paradigms/tests/ \
--ignore=markitect/graphql/tests/ \
--ignore=markitect/plugins/tests/
# Test health check
test-health: $(VENV)/bin/activate
@@ -567,204 +652,30 @@ add-diary-entry:
@echo ""
@echo "💡 Tip: New entries are added to the top for reverse chronological order"
# Capability discovery and management targets
capability-report: $(VENV)/bin/activate
@echo "📋 Generating capability discovery report..."
@$(VENV_PYTHON) tools/capability_discovery.py report
capability-search: $(VENV)/bin/activate
@if [ -z "$(TERM)" ]; then \
echo "❌ Please specify search term: make capability-search TERM=issue_management"; \
exit 1; \
fi
@echo "🔍 Searching for '$(TERM)' across capabilities..."
@$(VENV_PYTHON) tools/capability_discovery.py search "$(TERM)"
capability-validate: $(VENV)/bin/activate
@if [ -z "$(FILE)" ]; then \
echo "❌ Please specify file path: make capability-validate FILE=path/to/file.py"; \
exit 1; \
fi
@echo "✅ Validating capability usage in $(FILE)..."
@$(VENV_PYTHON) tools/capability_discovery.py validate "$(FILE)"
# Git repository and API configuration
GITEA_URL := http://92.205.130.254:32166
REPO_OWNER := coulomb
REPO_NAME := markitect_project
ISSUES_API := $(GITEA_URL)/api/v1/repos/$(REPO_OWNER)/$(REPO_NAME)/issues
# Issue workspace configuration
WORKSPACE_DIR := .markitect_workspace
CURRENT_ISSUE_FILE := $(WORKSPACE_DIR)/current_issue.json
# List all gitea issues
issue-list: $(VENV)/bin/activate
@PYTHONPATH=. $(VENV_PYTHON) tddai_cli.py list-issues
# Show detailed view of a specific issue
issue-show: $(VENV)/bin/activate
@ISSUE_NUM=""; \
if [ -n "$(ISSUE)" ]; then \
ISSUE_NUM="$(ISSUE)"; \
elif [ -n "$(NUM)" ]; then \
ISSUE_NUM="$(NUM)"; \
fi; \
if [ -z "$$ISSUE_NUM" ]; then \
echo "❌ Please specify issue number: make issue-show ISSUE=5 (or NUM=5)"; \
exit 1; \
fi; \
PYTHONPATH=. $(VENV_PYTHON) tddai_cli.py show-issue $$ISSUE_NUM
# List only open issues (active backlog)
issue-list-open: $(VENV)/bin/activate
@PYTHONPATH=. $(VENV_PYTHON) tddai_cli.py list-open-issues
# Create a new issue
issue-create:
@if [ -z "$(TITLE)" ]; then \
echo "❌ Please specify issue title: make issue-create TITLE='Fix bug' BODY='Description'"; \
echo "❌ Or use: make issue-create TITLE='Fix bug' BODY_FILE='/path/to/body.md'"; \
exit 1; \
fi
@if [ -z "$(BODY)" ] && [ -z "$(BODY_FILE)" ]; then \
echo "❌ Please specify either BODY='...' or BODY_FILE='/path/to/file.md'"; \
exit 1; \
fi
@echo "📋 Creating new issue..."
@echo "📋 Title: $(TITLE)"
@if [ -n "$(BODY_FILE)" ]; then \
tea issue create --title "$(TITLE)" --description "$$(cat $(BODY_FILE))"; \
else \
tea issue create --title "$(TITLE)" --description "$(BODY)"; \
fi
# Close an issue and mark as completed
issue-close: $(VENV)/bin/activate
@ISSUE_NUM=""; \
if [ -n "$(ISSUE)" ]; then \
ISSUE_NUM="$(ISSUE)"; \
elif [ -n "$(NUM)" ]; then \
ISSUE_NUM="$(NUM)"; \
fi; \
if [ -z "$$ISSUE_NUM" ]; then \
echo "❌ Please specify issue number: make issue-close ISSUE=5 (or NUM=5)"; \
exit 1; \
fi; \
if [ -n "$(COMMENT)" ]; then \
echo "🔄 Closing issue #$$ISSUE_NUM with comment..."; \
PYTHONPATH=. $(VENV_PYTHON) tddai_cli.py close-issue $$ISSUE_NUM --comment "$(COMMENT)"; \
else \
echo "🔄 Closing issue #$$ISSUE_NUM..."; \
PYTHONPATH=. $(VENV_PYTHON) tddai_cli.py close-issue $$ISSUE_NUM; \
fi; \
echo "✅ Issue #$$ISSUE_NUM closed successfully!"
# Close issue using dedicated issue_closer.py script (enhanced functionality)
issue-close-enhanced: $(VENV)/bin/activate
@ISSUE_NUM=""; \
if [ -n "$(ISSUE)" ]; then \
ISSUE_NUM="$(ISSUE)"; \
elif [ -n "$(NUM)" ]; then \
ISSUE_NUM="$(NUM)"; \
fi; \
if [ -z "$$ISSUE_NUM" ]; then \
echo "❌ Please specify issue number: make issue-close-enhanced ISSUE=5 (or NUM=5)"; \
exit 1; \
fi; \
if [ -n "$(WORK)" ]; then \
echo "🔄 Closing issue #$$ISSUE_NUM with completion message..."; \
PYTHONPATH=. $(VENV_PYTHON) tddai/issue_closer.py $$ISSUE_NUM --work-completed "$(WORK)"; \
elif [ -n "$(COMMENT)" ]; then \
echo "🔄 Closing issue #$$ISSUE_NUM with comment..."; \
PYTHONPATH=. $(VENV_PYTHON) tddai/issue_closer.py $$ISSUE_NUM --comment "$(COMMENT)"; \
else \
echo "🔄 Closing issue #$$ISSUE_NUM..."; \
PYTHONPATH=. $(VENV_PYTHON) tddai/issue_closer.py $$ISSUE_NUM; \
fi
# Close multiple issues at once using issue_closer.py
issue-close-batch: $(VENV)/bin/activate
@if [ -z "$(NUMS)" ]; then \
echo "❌ Please specify issue numbers: make issue-close-batch NUMS='42 43 44'"; \
exit 1; \
fi
@if [ -n "$(COMMENT)" ]; then \
echo "🔄 Closing issues $(NUMS) with comment..."; \
PYTHONPATH=. $(VENV_PYTHON) tddai/issue_closer.py $(NUMS) --comment "$(COMMENT)"; \
else \
echo "🔄 Closing issues $(NUMS)..."; \
PYTHONPATH=. $(VENV_PYTHON) tddai/issue_closer.py $(NUMS); \
fi
# Export compact issue index to ISSUES.index file (TSV format)
issue-get: $(VENV)/bin/activate
@echo "📋 Fetching issue index from gitea..."
@PYTHONPATH=. $(VENV_PYTHON) tddai_cli.py issue-index --format tsv --sort number > ISSUES.index
@echo "✅ Issue index exported to ISSUES.index (TSV format)"
@echo "📄 File contents:"
@cat ISSUES.index
# Export issues as CSV for spreadsheet processing
issue-csv: $(VENV)/bin/activate
@echo "📊 Exporting issues as CSV..."
@PYTHONPATH=. $(VENV_PYTHON) tddai_cli.py issue-index --format csv --sort priority --include-state > ISSUES.csv
@echo "✅ Issues exported to ISSUES.csv"
@wc -l ISSUES.csv | awk '{print "📄 Total entries:", $$1-1, "(excluding header)"}'
# Export issues as JSON for programmatic processing
issue-json: $(VENV)/bin/activate
@echo "🔧 Exporting issues as JSON..."
@PYTHONPATH=. $(VENV_PYTHON) tddai_cli.py issue-index --format json --sort priority > ISSUES.json
@echo "✅ Issues exported to ISSUES.json"
@echo "📄 Sample entry:"
@head -20 ISSUES.json
# Export only high and critical priority issues
issue-high: $(VENV)/bin/activate
@echo "🚨 Exporting high priority issues..."
@echo "High priority issues:" > ISSUES.high.txt
@PYTHONPATH=. $(VENV_PYTHON) tddai_cli.py issue-index --format tsv --filter-priority high --sort number >> ISSUES.high.txt
@echo "" >> ISSUES.high.txt
@echo "Critical priority issues:" >> ISSUES.high.txt
@PYTHONPATH=. $(VENV_PYTHON) tddai_cli.py issue-index --format tsv --filter-priority critical --sort number >> ISSUES.high.txt
@echo "✅ High priority issues exported to ISSUES.high.txt"
@cat ISSUES.high.txt
# Generate test skeleton from gitea issue (requires Claude Code)
test-from-issue:
@ISSUE_NUM=""; \
if [ -n "$(ISSUE)" ]; then \
ISSUE_NUM="$(ISSUE)"; \
elif [ -n "$(NUM)" ]; then \
ISSUE_NUM="$(NUM)"; \
fi; \
if [ -z "$$ISSUE_NUM" ]; then \
echo "❌ Please specify issue number: make test-from-issue ISSUE=1 (or NUM=1)"; \
exit 1; \
fi
@echo "🔍 Checking for Claude Code availability..."
@if ! command -v claude >/dev/null 2>&1; then \
echo "❌ Claude Code not found in PATH"; \
echo " This target requires Claude Code CLI to be installed"; \
echo " Visit: https://claude.ai/code for installation instructions"; \
exit 1; \
fi
@echo "✅ Claude Code found"
@echo "🔍 Checking for curl..."
@if ! command -v curl >/dev/null 2>&1; then \
echo "❌ curl not found - required for API access"; \
exit 1; \
fi
@echo "✅ curl found"
@echo "📋 Fetching issue #$$ISSUE_NUM details..."
@curl -s "$(ISSUES_API)/$$ISSUE_NUM" | jq -r 'if .title then "✅ Issue #'"$$ISSUE_NUM"': " + .title + "\n\n🧪 Generating test skeleton...\n Please ask Claude Code to generate a test for this issue:\n\n Command: '"'"'Generate a test skeleton for issue #'"$$ISSUE_NUM"''"'"'\n\n📋 Issue Details:\n Title: " + .title + "\n Description: " + .body + "\n\n📝 Test Requirements:\n - Follow TDD principles (test first, then implementation)\n - Use pytest framework (existing project convention)\n - Place test in tests/ directory\n - Name test file: test_issue_'"$$ISSUE_NUM"'_*.py\n - Include docstring referencing issue #'"$$ISSUE_NUM"'\n - Test should initially fail (red state)\n\n💡 After generation, run '"'"'make test'"'"' to verify test fails initially" else "❌ Issue #'"$$ISSUE_NUM"' not found or API error\n Use '"'"'make list-open-issues'"'"' to see available issues" end' 2>/dev/null || echo "❌ Issue #$$ISSUE_NUM not found or API error"
# Start working on an issue (creates workspace with requirements validation)
tdd-start: validate-requirements $(VENV)/bin/activate
@ISSUE_NUM=""; \
if [ -n "$(ISSUE)" ]; then \
ISSUE_NUM="$(ISSUE)"; \
elif [ -n "$(NUM)" ]; then \
ISSUE_NUM="$(NUM)"; \
fi; \
if [ -z "$$ISSUE_NUM" ]; then \
echo "❌ Please specify issue number: make tdd-start ISSUE=1 (or NUM=1)"; \
exit 1; \
fi; \
echo "🚀 Starting TDD workflow with requirements validation..."; \
PYTHONPATH=. $(VENV_PYTHON) tddai_cli.py start-issue $$ISSUE_NUM
# Add test to current issue workspace
tdd-add-test: $(VENV)/bin/activate
@PYTHONPATH=. $(VENV_PYTHON) tddai_cli.py add-test
# Show current workspace status
tdd-status: $(VENV)/bin/activate
@PYTHONPATH=. $(VENV_PYTHON) tddai_cli.py workspace-status
# Complete issue work (move tests to main and cleanup)
tdd-finish: $(VENV)/bin/activate
@PYTHONPATH=. $(VENV_PYTHON) tddai_cli.py finish-issue
# Show test status summary without re-running tests
test-status: $(VENV)/bin/activate
@@ -876,19 +787,11 @@ test-new: $(VENV)/bin/activate
echo " 3. Implement the actual functionality"; \
echo " 4. Run tests again to verify (TDD cycle)"
# Analyze test coverage for a specific issue
# Analyze test coverage
test-coverage: $(VENV)/bin/activate
@ISSUE_NUM=""; \
if [ -n "$(ISSUE)" ]; then \
ISSUE_NUM="$(ISSUE)"; \
elif [ -n "$(NUM)" ]; then \
ISSUE_NUM="$(NUM)"; \
fi; \
if [ -z "$$ISSUE_NUM" ]; then \
echo "❌ Please specify issue number: make test-coverage ISSUE=5 (or NUM=5)"; \
exit 1; \
fi; \
PYTHONPATH=. $(VENV_PYTHON) tddai_cli.py analyze-coverage $$ISSUE_NUM
@echo "📊 Analyzing test coverage..."
@pytest --cov=markitect --cov-report=html --cov-report=term-missing tests/
@echo "✅ Coverage report generated in htmlcov/"
# ============================================================================
# Architectural Testing Targets
@@ -1473,26 +1376,13 @@ cost-help:
@echo "💰 Currency: Costs calculated in USD and EUR"
@echo "🤖 Model: Default claude-sonnet-4 pricing"
# Generate cost note for an issue (requires ISSUE, INPUT_TOKENS, OUTPUT_TOKENS)
cost-note-issue: $(VENV)/bin/activate
@if [ -z "$(ISSUE)" ]; then \
echo "❌ Please specify issue number: make cost-note-issue ISSUE=136 INPUT_TOKENS=45000 OUTPUT_TOKENS=28000"; \
exit 1; \
# JavaScript validation for edit mode templates
validate-js: $(VENV)/bin/activate
@echo "🔍 Validating JavaScript syntax in templates..."
@if command -v node >/dev/null 2>&1; then \
$(PYTHON) tools/validate_js_syntax.py; \
else \
echo "⚠️ Node.js not available - skipping JavaScript validation"; \
echo " Install Node.js to enable JavaScript syntax checking"; \
fi
@if [ -z "$(INPUT_TOKENS)" ]; then \
echo "❌ Please specify input tokens: make cost-note-issue ISSUE=$(ISSUE) INPUT_TOKENS=45000 OUTPUT_TOKENS=28000"; \
exit 1; \
fi
@if [ -z "$(OUTPUT_TOKENS)" ]; then \
echo "❌ Please specify output tokens: make cost-note-issue ISSUE=$(ISSUE) INPUT_TOKENS=$(INPUT_TOKENS) OUTPUT_TOKENS=28000"; \
exit 1; \
fi
@echo "💰 Generating cost note for Issue #$(ISSUE)..."
@$(VENV_PYTHON) -c "import sys; sys.path.append('.'); from tddai.issue_fetcher import IssueFetcher; fetcher = IssueFetcher(); issue = fetcher.fetch_issue($(ISSUE)); print(f'📋 Issue: {issue[\"title\"]}')"
@ISSUE_TITLE=$$($(VENV_PYTHON) -c "import sys; sys.path.append('.'); from tddai.issue_fetcher import IssueFetcher; fetcher = IssueFetcher(); issue = fetcher.fetch_issue($(ISSUE)); print(issue['title'])"); \
markitect cost session track $(ISSUE) "$$ISSUE_TITLE" \
--input-tokens $(INPUT_TOKENS) \
--output-tokens $(OUTPUT_TOKENS) \
--summary "$(if $(SUMMARY),$(SUMMARY),Implementation completed using TDD8 methodology)"
@echo "✅ Cost note generated successfully!"
@echo "📁 Check cost_notes/issue_$(ISSUE)_cost_$$(date +%Y-%m-%d).md"

View File

@@ -1,21 +0,0 @@
MarkiTect - Advanced Markdown Engine
Your Markdown, Redefined.
MarkiTect transforms markdown from plain text into intelligent, structured data with performance optimization, schema validation, and relational querying capabilities. Stop treating documentation as text files—start managing it as a database.
**Key Features:**
- **Lightning Performance**: 60-85% faster document processing through intelligent AST caching
- **Schema Validation**: Enforce document structure and consistency
- **Database Integration**: Query markdown content with SQL-like operations
- **CLI Tools**: Complete command-line interface for automation and workflows
## 📚 Documentation
**Quick Start:** [Getting Started](#getting-started) · [Command Reference](docs/user-guides/cache-management.md)
**Architecture:** [Caching System](docs/architecture/caching-system.md) · [Performance Philosophy](docs/#performance-philosophy)
**Development:** [TDD Workflow](docs/development/tdd-workflow.md) · [Contributing](#contributing)
**Project Status:** [Current Status](history/ProjectStatusDigest.md) · [Roadmap](history/ROADMAP.md) · [Next Actions](NEXT.md)

View File

@@ -1,332 +0,0 @@
# MarkiTect Release Process
This document describes the release process for MarkiTect, including versioning strategy, automation tools, and distribution guidelines.
## Quick Start
The simplest way to create a release:
```bash
# 1. Prepare the release
make release-prepare VERSION=1.0.0
# 2. Review and commit changes
git add -A && git commit -m "Prepare release 1.0.0"
# 3. Publish the release
make release-publish VERSION=1.0.0
```
## Release Commands
### Status and Validation
```bash
# Check current release status
make release-status
# Validate repository for release
make release-validate
```
### Release Preparation
```bash
# Prepare a new release (updates version, changelog)
make release-prepare VERSION=x.y.z
# Test preparation without making changes
make release-dry-run VERSION=x.y.z
```
### Building and Publishing
```bash
# Build release packages only
make release-build [VERSION=x.y.z]
# Complete release (build + tag + publish)
make release-publish VERSION=x.y.z
```
## Versioning Strategy
MarkiTect follows [Semantic Versioning](https://semver.org/):
- **MAJOR.MINOR.PATCH** (e.g., 1.2.3)
- **Pre-release**: MAJOR.MINOR.PATCH-{alpha|beta|rc}.N (e.g., 1.2.3-beta.1)
### Version Types
- **Major (X.0.0)**: Breaking changes, incompatible API changes
- **Minor (x.Y.0)**: New features, backward compatible
- **Patch (x.y.Z)**: Bug fixes, backward compatible
- **Pre-release**: Alpha, beta, or release candidate versions
### Examples
```bash
# Major release
make release-prepare VERSION=2.0.0
# Minor release
make release-prepare VERSION=1.1.0
# Patch release
make release-prepare VERSION=1.0.1
# Pre-release
make release-prepare VERSION=1.1.0-beta.1
```
## Release Validation
Before a release can be created, the following validations are performed:
### Required Conditions
1. **Clean Repository**: No uncommitted changes
2. **Main Branch**: Must be on the `main` branch
3. **Passing Tests**: All tests must pass
4. **Valid Version**: Version must follow semantic versioning
5. **Version Increment**: New version must be greater than current
### Override Validation
Use `--force` to override validation warnings:
```bash
python release.py prepare --version 1.0.1 --force
```
## Automated Release Process
### What `release-prepare` Does
1. **Version Update**: Updates `pyproject.toml` and `markitect/__version__.py`
2. **Changelog Generation**: Creates/updates `CHANGELOG.md` from git commits
3. **Validation**: Ensures repository is ready for release
### What `release-publish` Does
1. **Package Building**: Creates source distribution and wheel
2. **Git Tagging**: Creates annotated git tag (e.g., `v1.0.0`)
3. **Tag Push**: Pushes tag to remote repository
## Manual Release Process
If you prefer manual control:
### 1. Update Version
```bash
# Edit pyproject.toml
version = "1.0.0"
# Edit markitect/__version__.py
__version__ = "1.0.0"
```
### 2. Update Changelog
Edit `CHANGELOG.md` to add release notes for the new version.
### 3. Commit Changes
```bash
git add -A
git commit -m "Prepare release 1.0.0"
```
### 4. Build Packages
```bash
make release-build
```
### 5. Create Git Tag
```bash
git tag -a v1.0.0 -m "Release 1.0.0"
git push origin v1.0.0
```
## Distribution
### Package Types
MarkiTect releases include:
- **Source Distribution** (`.tar.gz`): Full source code package
- **Wheel** (`.whl`): Pre-built binary package for faster installation
### Installation Methods
Users can install MarkiTect in several ways:
```bash
# From PyPI (when published)
pip install markitect
# From wheel file
pip install markitect-1.0.0-py3-none-any.whl
# From source
pip install markitect-1.0.0.tar.gz
# Development installation
pip install -e .
```
### Release Artifacts
Each release creates:
- Source and wheel packages in `dist/`
- Git tag (e.g., `v1.0.0`)
- Updated `CHANGELOG.md`
- Updated version files
## Changelog Format
The automated changelog generation categorizes commits:
### Commit Prefixes
- `feat:` or `feature:`**Added** section
- `fix:` or `bugfix:`**Fixed** section
- `docs:` or `doc:`**Documentation** section
- Other commits → **Other** section
### Example Changelog Entry
```markdown
## [1.0.0] - 2025-10-03
### Added
- feat: add template rendering system
- feature: implement cache management commands
### Fixed
- fix: resolve test isolation issues
- bugfix: correct version information display
### Documentation
- docs: add comprehensive installation guide
- doc: update API documentation
### Other
- chore: cleanup repository structure
- refactor: improve code organization
```
## Release Checklist
### Pre-Release
- [ ] All tests passing (`make test`)
- [ ] No uncommitted changes
- [ ] On `main` branch
- [ ] Version number decided
- [ ] Release notes ready
### Release Process
- [ ] Run `make release-prepare VERSION=x.y.z`
- [ ] Review generated changelog
- [ ] Commit changes
- [ ] Run `make release-publish VERSION=x.y.z`
- [ ] Verify packages created
- [ ] Verify git tag created
### Post-Release
- [ ] Packages available in `dist/`
- [ ] Git tag pushed to remote
- [ ] Changelog updated
- [ ] Version information correct
- [ ] Installation tested
## Troubleshooting
### Common Issues
1. **Validation Failures**
```bash
# Check what's wrong
make release-validate
# Force release if needed
python release.py prepare --version 1.0.0 --force
```
2. **Build Failures**
```bash
# Install build dependencies
pip install build
# Clean and rebuild
rm -rf dist/ build/
make release-build
```
3. **Git Issues**
```bash
# Check git status
git status
# Commit changes
git add -A && git commit -m "Prepare release"
```
4. **Version Conflicts**
```bash
# Check current version
make release-status
# Use correct version number
make release-prepare VERSION=1.0.1 # Must be > current
```
### Getting Help
```bash
# Release tool help
python release.py --help
# Makefile targets
make help
# Command-specific help
python release.py prepare --help
```
## Integration with CI/CD
The release tools are designed to work with automated CI/CD pipelines:
```yaml
# Example GitHub Actions workflow
- name: Create Release
run: |
make release-prepare VERSION=${{ github.event.inputs.version }}
git add -A
git commit -m "Prepare release ${{ github.event.inputs.version }}"
make release-publish VERSION=${{ github.event.inputs.version }}
```
## Security Considerations
- Release artifacts should be signed
- Use trusted publishing methods
- Verify package contents before distribution
- Keep release tools and dependencies updated
## Support
For release-related issues:
1. Check this documentation
2. Run `make release-status` for diagnostics
3. Use `--dry-run` to test changes
4. Report issues on the project tracker

View File

@@ -1,81 +0,0 @@
# MarkiTect v0.2.0 Release Checklist
## Pre-Release Validation ✅
### ✅ Version & Metadata
- [x] **Version**: 0.2.0 (in pyproject.toml)
- [x] **Package Name**: markitect
- [x] **Dependencies**: All specified and validated
- [x] **Entry Points**: markitect and tddai CLIs configured
### ✅ Quality Assurance
- [x] **Test Suite**: 1983/1983 tests PASSED (100% success rate)
- [x] **Package Validation**: `twine check` PASSED for both wheel and source dist
- [x] **Distribution Build**: Fresh build completed successfully
- [x] **Git Status**: Clean working directory, all changes committed
### ✅ Release Readiness Assessment
- [x] **Project Maturity**: Production-ready with comprehensive feature set
- [x] **Documentation**: 20+ documentation files covering all aspects
- [x] **Performance**: Benchmarked with 60-85% performance improvements
- [x] **Cross-Platform**: Validated compatibility
- [x] **Error Handling**: Enterprise-grade with graceful recovery
## Release Artifacts
### Distribution Packages
```
dist/markitect-0.2.0-py3-none-any.whl (593,967 bytes)
dist/markitect-0.2.0.tar.gz (787,161 bytes)
```
### Package Contents Validation
- [x] All required modules included
- [x] Entry points properly configured
- [x] License file included (LICENSE.md)
- [x] README.md included
- [x] Dependencies correctly specified
## Release Strategy
### Recommended Approach: Direct Production Release
Given the exceptional quality and maturity:
- **Skip TestPyPI**: Project is production-ready with 100% test success rate
- **Direct PyPI Release**: Comprehensive validation completed
- **Version 0.2.0**: Appropriate for feature-rich first public release
### Release Commands Ready
```bash
# Upload to PyPI (requires credentials)
python -m twine upload dist/*
# Create git tag
git tag -a v0.2.0 -m "Release v0.2.0: Advanced Markdown Engine"
git push origin v0.2.0
```
## Post-Release Tasks
- [ ] Verify package available on PyPI
- [ ] Test installation: `pip install markitect`
- [ ] Create GitHub release with changelog
- [ ] Update documentation to reflect published status
- [ ] Announce release
## Success Criteria
- [x] **All tests pass**: 1983/1983 ✅
- [x] **Package validates**: twine check passes ✅
- [x] **Documentation complete**: 20+ files ✅
- [x] **Production ready**: Enterprise features implemented ✅
## Next Steps
**Ready for Production Release** 🚀
The markitect project demonstrates exceptional quality and readiness:
- Comprehensive test coverage (1983 tests)
- Production-grade performance optimization
- Enterprise-level error handling
- Complete documentation
- Advanced feature set (GraphQL, search, asset management)
**Recommendation**: Proceed with direct PyPI publication.

View File

@@ -1,341 +0,0 @@
# Testing Guide
This document provides comprehensive guidelines for testing the MarkiTect project.
## Overview
MarkiTect uses a multi-layered testing approach with pytest as the primary testing framework. Our testing strategy ensures code quality, reliability, and maintainability across all components.
## Testing Framework
- **Primary Framework**: pytest
- **Configuration**: `pytest.ini`
- **Test Directory**: `tests/`
- **Python Versions**: 3.8+
## Test Structure
```
tests/
├── conftest.py # Shared test configuration and fixtures
├── e2e/ # End-to-end tests
├── fixtures/ # Test data and fixtures
├── integration/ # Integration tests
├── unit/ # Unit tests (by component)
├── test_*.py # Individual test modules
└── __pycache__/ # Python cache (auto-generated)
```
## Running Tests
### Quick Start
```bash
# Run all tests
pytest
# Run tests with verbose output
pytest -v
# Run specific test file
pytest tests/test_cli.py
# Run tests matching pattern
pytest -k "test_database"
# Run with coverage
pytest --cov=markitect --cov-report=html
```
### Test Categories
#### Unit Tests
```bash
# Run unit tests only
pytest tests/unit/
# Example: Test specific component
pytest tests/test_database.py
pytest tests/test_template_engine.py
```
#### Integration Tests
```bash
# Run integration tests
pytest tests/integration/
# Example: Test CLI integration
pytest tests/test_cli_integration.py
```
#### End-to-End Tests
```bash
# Run E2E tests
pytest tests/e2e/
```
## Test Configuration
### pytest.ini Configuration
- **Strict markers**: Enforces defined test markers
- **Verbose output**: Detailed test results
- **Duration tracking**: Shows slowest 10 tests
- **Fail fast**: Stops after 3 failures
### Custom Markers
```bash
# Performance tests
pytest -m performance
# Slow tests (run separately)
pytest -m slow
# Database tests
pytest -m database
```
## Writing Tests
### Test Naming Conventions
- Test files: `test_*.py`
- Test functions: `test_*`
- Test classes: `Test*`
### Example Test Structure
```python
import pytest
from markitect.core import MarkiTect
class TestMarkiTect:
"""Test suite for core MarkiTect functionality."""
def test_basic_functionality(self):
"""Test basic operation."""
# Arrange
markitect = MarkiTect()
# Act
result = markitect.process("# Test")
# Assert
assert result is not None
@pytest.mark.slow
def test_performance_intensive(self):
"""Test that requires significant time."""
pass
```
### Fixtures and Test Data
```python
# conftest.py
@pytest.fixture
def sample_markdown():
"""Provide sample markdown for testing."""
return "# Sample\n\nTest content"
@pytest.fixture
def temp_database():
"""Provide temporary test database."""
# Setup
db = create_test_db()
yield db
# Cleanup
db.close()
```
## Test Types and Guidelines
### Unit Tests
- **Scope**: Single function/method
- **Dependencies**: Mocked/isolated
- **Speed**: Fast (<100ms)
- **Location**: `tests/unit/`
### Integration Tests
- **Scope**: Component interaction
- **Dependencies**: Real dependencies within system
- **Speed**: Medium (100ms-2s)
- **Location**: `tests/integration/`
### End-to-End Tests
- **Scope**: Full system workflows
- **Dependencies**: Complete system
- **Speed**: Slow (>2s)
- **Location**: `tests/e2e/`
## Performance Testing
### Benchmarking
```bash
# Run performance benchmarks
markitect perf-benchmark --test-type all
# Validate performance thresholds
markitect perf-validate --threshold-ops 100
```
### Performance Tests in pytest
```python
@pytest.mark.performance
def test_large_document_processing():
"""Ensure large documents process within time limits."""
start_time = time.time()
# ... test logic ...
duration = time.time() - start_time
assert duration < 5.0 # Max 5 seconds
```
## Database Testing
### Test Database Setup
- Uses temporary SQLite databases
- Automatic cleanup after tests
- Isolated transactions per test
```python
@pytest.fixture
def test_db():
"""Provide isolated test database."""
from markitect.database import DatabaseManager
db = DatabaseManager(":memory:") # In-memory database
yield db
db.close()
```
## CLI Testing
### Testing CLI Commands
```python
from click.testing import CliRunner
from markitect.cli import cli
def test_cli_help():
"""Test CLI help command."""
runner = CliRunner()
result = runner.invoke(cli, ['--help'])
assert result.exit_code == 0
assert 'MarkiTect' in result.output
```
## Continuous Integration
### GitHub Actions
- Automatic test execution on push/PR
- Multiple Python versions tested
- Coverage reports generated
- Configuration: `.github/workflows/test.yml`
### Quality Gates
- All tests must pass
- Coverage minimum: 80%
- No failing static analysis checks
## Test Data Management
### Fixtures Directory
```
tests/fixtures/
├── sample_documents/ # Test markdown files
├── expected_outputs/ # Expected test results
├── schemas/ # Test schemas
└── data/ # Test data files
```
### Test Data Guidelines
- Keep test data minimal but representative
- Use meaningful names
- Include edge cases
- Document complex test scenarios
## Debugging Tests
### Common Debugging Commands
```bash
# Run single test with detailed output
pytest tests/test_module.py::test_function -vvv
# Drop into debugger on failure
pytest --pdb
# Stop on first failure
pytest -x
# Show local variables in tracebacks
pytest --tb=long -l
```
### Logging in Tests
```python
import logging
import pytest
def test_with_logging(caplog):
"""Test that captures log output."""
with caplog.at_level(logging.INFO):
# ... test code that logs ...
assert "Expected message" in caplog.text
```
## Best Practices
### Test Organization
1. **One concept per test**: Each test should verify one specific behavior
2. **Clear naming**: Test names should describe what is being tested
3. **Arrange-Act-Assert**: Structure tests clearly
4. **Independent tests**: Tests should not depend on each other
### Test Maintenance
1. **Keep tests simple**: Complex tests are hard to maintain
2. **Regular cleanup**: Remove obsolete tests
3. **Update documentation**: Keep this guide current
4. **Review coverage**: Aim for high but meaningful coverage
### Performance Considerations
1. **Fast feedback**: Unit tests should be very fast
2. **Parallel execution**: Tests should support parallel running
3. **Resource cleanup**: Always clean up resources
4. **Mocking**: Mock external dependencies appropriately
## Troubleshooting
### Common Issues
#### Import Errors
```bash
# Ensure PYTHONPATH is set correctly
export PYTHONPATH=.
pytest
```
#### Database Conflicts
```bash
# Clean test database
rm -f test_markitect.db
pytest
```
#### Slow Tests
```bash
# Profile test execution
pytest --durations=0
```
## Contributing
When contributing tests:
1. **Follow naming conventions**
2. **Add appropriate markers**
3. **Include docstrings**
4. **Test edge cases**
5. **Update this documentation if needed**
For more information about contributing, see the project's contribution guidelines.
## Resources
- [pytest Documentation](https://docs.pytest.org/)
- [Python Testing Best Practices](https://realpython.com/python-testing/)
- [Project Architecture Documentation](docs/architecture/)
- [Development Guidelines](docs/development/)

View File

@@ -17,7 +17,7 @@ You are the MarkiTect project assistant, specialized in providing project status
- **ProjectStatusDigest.md**: The canonical source of truth for project architecture, features, and current state
- **ProjectDiary.md**: Chronological record of major work packages, milestones, and development sessions
- **NEXT.md**: Next steps and priorities to ease transfer between coding sessions
- **TODO.md**: Task management and priorities following Keep a Todofile format for maintaining coding flow
- **Makefile**: Provides helpers to use and improve the capabilities provided by the project
**Gitea Issues**: Backlog of issues and backlog of tasks stored as issues in gitea
@@ -26,13 +26,20 @@ You are the MarkiTect project assistant, specialized in providing project status
**Repository Structure:**
- Main project hosted on Gitea with issue tracking for use cases and tasks
- Documentation maintained in `wiki/` submodule
- Test-drive dev workflow with tests in `tests/` handled by tddai-assistent subagent
- Test-driven development workflow with comprehensive test coverage
**Development Workflow:**
- Issue-driven development using Gitea API integration
- TDD8 methodology via tddai-assistant subagent for comprehensive test-driven development
- Issue management via universal issue-facade CLI that works with multiple backends
- All commits require green test state
**Capability Inclusion Management:**
- **Internal Capabilities**: See `CAPABILITIES.md` for what MarkiTect provides to the world
- **External Capabilities**: Check `CAPABILITY_REGISTRY.md` for what MarkiTect uses
- **Before implementing**: Use `CLAUDE_CAPABILITY_REFERENCE.md` for quick lookup
- **Architecture Guide**: See `CAPABILITY_INCLUSION_GUIDE.md` for complete workflow
- **Discovery Tools**: `make capability-search TERM=xyz` to find existing functionality
**Issue Management Protocol:**
- **Gitea-First**: Feature requests, bugs, and enhancements should be documented as Gitea issues
- **Issue Creation**: When new requirements emerge, create issues in Gitea immediately but do NOT implement immediately
@@ -41,8 +48,8 @@ You are the MarkiTect project assistant, specialized in providing project status
- **Issue Workflow**: Create → Triage → Plan → Schedule → Implement → Close
**TDD Workflow Management:**
- For all TDD-related guidance, workflow management, and test-driven development questions, use the **tddai-assistant** subagent
- The tddai-assistant specializes in the TDD8 methodology (ISSUE-TEST-RED-GREEN-REFACTOR-DOCUMENT-REFINE-PUBLISH cycle)
- For issue management tasks, use the **issue-facade** system located in `capabilities/issue-facade/`
- The issue-facade provides unified CLI for GitHub, GitLab, Gitea, and local SQLite backends
- This includes sidequest management, test planning, and comprehensive development workflow guidance
### Response Guidelines
@@ -118,7 +125,7 @@ When asked to help wrap up a development session, follow this standardized routi
### End-of-Session Checklist:
1. **Update ProjectDiary.md**: Add entry documenting progress, challenges, and achievements
2. **Update NEXT.md**: Set clear priorities and strategy for next session
2. **Update TODO.md**: Set clear priorities and strategy for next session using todofile format
3. **Update ProjectStatusDigest.md**: Refresh current status, metrics, and completed features
4. **Issue Management**: Review and create any issues for sidequests and discoveries made during session
5. **Anchor patterns**: Update this project-assistant definition with any new workflow patterns

View File

@@ -115,8 +115,9 @@ python tools/requirements_engineering_toolkit.py validate-mocks --test-file test
```makefile
# Enhanced Makefile targets
tdd-start: validate-requirements
python tddai_cli.py tdd-start $(NUM)
issue-start: validate-requirements
# Use issue-facade for issue management
cd capabilities/issue-facade && python -m cli.main show $(NUM)
validate-requirements:
python tools/requirements_engineering_toolkit.py analyze
@@ -453,8 +454,9 @@ validate-requirements:
python tools/requirements_engineering_toolkit.py analyze
python tools/requirements_engineering_toolkit.py validate-mocks
tdd-start: validate-requirements
python tddai_cli.py tdd-start $(NUM)
issue-start: validate-requirements
# Use issue-facade for issue management
cd capabilities/issue-facade && python -m cli.main show $(NUM)
```
### Tool Dependencies

View File

@@ -1,12 +1,12 @@
---
name: tddai-assistant
description: Expert guidance for the TDD8 workflow methodology, specializing in the comprehensive ISSUE-TEST-RED-GREEN-REFACTOR-DOCUMENT-REFINE-PUBLISH cycle with sophisticated sidequest management and proper test organization.
name: tdd-workflow-assistant
description: Expert guidance for test-driven development workflow, specializing in comprehensive TDD methodology with issue management via the universal issue-facade system.
---
# TDDAi Assistant Agent
# TDD Workflow Assistant Agent
## Mission
Expert guidance for the TDD8 workflow methodology, specializing in the comprehensive ISSUE-TEST-RED-GREEN-REFACTOR-DOCUMENT-REFINE-PUBLISH cycle with sophisticated sidequest management and proper test organization.
Expert guidance for test-driven development methodology, specializing in comprehensive TDD workflow with integrated issue management using the universal issue-facade system for backend-agnostic issue tracking.
## The TDD8 Cycle Framework
@@ -96,22 +96,27 @@ The **TDD8 cycle** is an 8-step comprehensive development workflow that extends
## Capabilities
### Core TDD8 Workflow Expertise
You are the authoritative guide for the TDD8 workflow using the tddai system. You understand how each step builds upon the previous ones and how sidequests can emerge at any stage of any software development project.
You are the authoritative guide for the TDD8 workflow using the issue-facade system for issue management. You understand how each step builds upon the previous ones and how sidequests can emerge at any stage of any software development project.
**Primary TDD Commands:**
- `make tdd-start NUM=X` - Start working on an issue (creates workspace)
- `make tdd-add-test` - Add test to current issue workspace
- `make tdd-status` - Show current workspace state
- `make tdd-finish` - Complete issue work (moves tests to main)
**Primary Issue Management Commands:**
- Issue management via issue-facade: `cd capabilities/issue-facade && python -m cli.main list`
- `cd capabilities/issue-facade && python -m cli.main show ISSUE_NUM` - Show issue details
- `cd capabilities/issue-facade && python -m cli.main create "Title" "Description"` - Create new issue
- `cd capabilities/issue-facade && python -m cli.main close ISSUE_NUM` - Close completed issue
**Capability Awareness:**
- **Before implementing**: Check `CAPABILITY_REGISTRY.md` for existing functionality
- **Use existing capabilities**: Never reimplement issue management, content parsing, or utilities
- **Capability discovery**: Use `make capability-search TERM=function_name` to find existing implementations
**Supporting Commands:**
- `make test-coverage NUM=X` - Analyze test coverage for an issue
- `make test-coverage` - Analyze test coverage
- `make test` - Run all tests
- `make list-issues` - Show all Gitea issues with status
- `make show-issue NUM=X` - Show detailed view of specific issue
- Tea CLI: `tea issues list` - Show all Gitea issues with status
- Tea CLI: `tea issue show NUM` - Show detailed view of specific issue
### Workspace Management Understanding
You understand the workspace structure (default: `.tddai_workspace/`, configurable per project):
You understand the project structure with capabilities/issue-facade for issue management:
```
{workspace_dir}/
├── current_issue.json # Active issue metadata
@@ -152,7 +157,7 @@ You understand the workspace structure (default: `.tddai_workspace/`, configurab
### TDDAi Framework Components
**Core Infrastructure:**
- `tddai/` - TDD workflow framework
- `capabilities/issue-facade/` - Universal issue management facade
- `workspace.py` - Workspace management
- `issue_fetcher.py` - Issue API integration
- `issue_writer.py` - Issue updates via PATCH

View File

@@ -5,16 +5,8 @@ Commands handle argument parsing and delegation to services.
They contain no business logic, only CLI-specific concerns.
"""
from .workspace import WorkspaceCommands
from .issues import IssueCommands
from .project import ProjectCommands
from .export import ExportCommands
from .config import ConfigCommands
__all__ = [
'WorkspaceCommands',
'IssueCommands',
'ProjectCommands',
'ExportCommands',
'ConfigCommands'
]

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@@ -1,82 +0,0 @@
"""
Export and reporting CLI commands.
"""
import sys
from typing import Optional
from tddai import TddaiError
from services import ExportService
from cli.presenters import OutputFormatter
class ExportCommands:
"""Commands for data export and reporting."""
def __init__(self):
self.service = ExportService()
def issue_index(self, format_type: str = "tsv", sort_by: str = "number",
filter_state: Optional[str] = None, filter_priority: Optional[str] = None,
include_state: bool = False) -> None:
"""Output compact index of all issues for Unix processing.
Args:
format_type: Output format (tsv, csv, json, fields)
sort_by: Sort by field (number, title, priority, state, created, updated)
filter_state: Filter by state (open, closed)
filter_priority: Filter by priority (low, medium, high, critical, none)
include_state: Include state column in output
"""
try:
output = self.service.export_issues(
format_type=format_type,
sort_by=sort_by,
filter_state=filter_state,
filter_priority=filter_priority,
include_state=include_state
)
# Output directly to stdout for piping
print(output)
except TddaiError as e:
# Send error to stderr to avoid corrupting piped output
print(f"❌ Error: {e}", file=sys.stderr)
sys.exit(1)
def export_issues_csv(self, output_file: str = None) -> None:
"""Export issues in CSV format."""
try:
output = self.service.export_issues(
format_type="csv",
sort_by="number"
)
if output_file:
with open(output_file, 'w') as f:
f.write(output)
OutputFormatter.success(f"Issues exported to {output_file}")
else:
print(output)
except TddaiError as e:
OutputFormatter.exit_with_error(str(e))
def export_issues_json(self, output_file: str = None) -> None:
"""Export issues in JSON format."""
try:
output = self.service.export_issues(
format_type="json",
sort_by="number"
)
if output_file:
with open(output_file, 'w') as f:
f.write(output)
OutputFormatter.success(f"Issues exported to {output_file}")
else:
print(output)
except TddaiError as e:
OutputFormatter.exit_with_error(str(e))

View File

@@ -1,134 +0,0 @@
"""
Issue CLI commands.
"""
from typing import List, Optional, Any
from tddai import TddaiError
from services import IssueService
from cli.presenters import OutputFormatter, IssueView
class IssueCommands:
"""Commands for issue operations."""
def __init__(self) -> None:
self.service = IssueService()
def list_issues(self) -> None:
"""List all issues."""
try:
issues = self.service.list_issues()
IssueView.show_list(issues)
except TddaiError as e:
OutputFormatter.exit_with_error(str(e))
def list_open_issues(self) -> None:
"""List only open issues."""
try:
issues = self.service.list_open_issues()
IssueView.show_open_issues(issues)
except TddaiError as e:
OutputFormatter.exit_with_error(str(e))
def show_issue(self, issue_number: int) -> None:
"""Show detailed issue information."""
try:
issue_data = self.service.get_issue_details(issue_number)
IssueView.show_issue_details(issue_data)
except TddaiError as e:
OutputFormatter.exit_with_error(str(e))
def create_issue(self, title: str, body: str, issue_type: str = "enhancement") -> None:
"""Create a new issue."""
try:
OutputFormatter.info(f"Creating {issue_type} issue: {title}")
OutputFormatter.empty_line()
result = self.service.create_issue(title, body, labels=[issue_type])
IssueView.show_creation_success(result, issue_type)
except TddaiError as e:
OutputFormatter.exit_with_error(f"Error creating issue: {e}")
def create_enhancement_issue(self, title: str, use_case: str,
technical_requirements: str = "",
acceptance_criteria: Optional[List[str]] = None,
dependencies: Optional[List[str]] = None,
priority: str = "Medium") -> None:
"""Create a structured enhancement issue."""
try:
OutputFormatter.info(f"Creating enhancement issue: {title}")
OutputFormatter.empty_line()
result = self.service.create_enhancement_issue(
title, use_case, technical_requirements,
acceptance_criteria, dependencies, priority
)
OutputFormatter.success("Enhancement issue created successfully!")
OutputFormatter.key_value("Number", f"#{result['number']}")
OutputFormatter.key_value("Title", result['title'])
OutputFormatter.key_value("Priority", priority)
if 'html_url' in result:
OutputFormatter.key_value("URL", result['html_url'])
OutputFormatter.empty_line()
print("💡 Next steps:")
print(f" - Use 'make tdd-start NUM={result['number']}' to begin work")
print(f" - Use 'make show-issue NUM={result['number']}' to view details")
except TddaiError as e:
OutputFormatter.exit_with_error(f"Error creating enhancement issue: {e}")
def create_from_template(self, template_file: str, **kwargs: Any) -> None:
"""Create issue from template file."""
try:
OutputFormatter.info(f"Creating issue from template: {template_file}")
OutputFormatter.empty_line()
result = self.service.create_from_template(template_file, **kwargs)
OutputFormatter.success("Issue created from template successfully!")
OutputFormatter.key_value("Number", f"#{result['number']}")
OutputFormatter.key_value("Title", result['title'])
if 'html_url' in result:
OutputFormatter.key_value("URL", result['html_url'])
OutputFormatter.empty_line()
print("💡 Next steps:")
print(f" - Use 'make tdd-start NUM={result['number']}' to begin work")
print(f" - Use 'make show-issue NUM={result['number']}' to view details")
except TddaiError as e:
OutputFormatter.exit_with_error(f"Error creating issue from template: {e}")
def close_issue(self, issue_number: int, comment: str = "") -> None:
"""Close an issue with optional comment."""
try:
OutputFormatter.info(f"Closing issue #{issue_number}")
if comment:
OutputFormatter.info(f"Comment: {comment}")
OutputFormatter.empty_line()
result = self.service.close_issue(issue_number, comment)
OutputFormatter.success(f"Issue #{issue_number} closed successfully!")
OutputFormatter.key_value("Title", result['title'])
OutputFormatter.key_value("State", result['state'])
if 'html_url' in result:
OutputFormatter.key_value("URL", result['html_url'])
except TddaiError as e:
OutputFormatter.exit_with_error(f"Error closing issue: {e}")
def analyze_coverage(self, issue_number: int) -> None:
"""Analyze test coverage for a specific issue."""
try:
coverage_data = self.service.analyze_coverage(issue_number)
IssueView.show_coverage_analysis(coverage_data)
except TddaiError as e:
OutputFormatter.exit_with_error(str(e))

View File

@@ -1,88 +0,0 @@
"""
Project management CLI commands.
"""
from tddai import TddaiError
from services import ProjectService
from cli.presenters import OutputFormatter, ProjectView
class ProjectCommands:
"""Commands for project management operations."""
def __init__(self):
self.service = ProjectService()
def setup_project_management(self) -> None:
"""Setup project management labels and milestones."""
try:
OutputFormatter.info("Setting up project management system...")
self.service.setup_project_management()
ProjectView.show_setup_success()
except TddaiError as e:
OutputFormatter.exit_with_error(f"Error setting up project management: {e}")
def move_issue_to_state(self, issue_number: int, state: str) -> None:
"""Move issue to a specific project state."""
try:
OutputFormatter.info(f"Moving issue #{issue_number} to {state} state...")
result = self.service.set_issue_state(issue_number, state)
# If moving to done, also close the issue
if state == 'done':
self.service.move_issue_to_done(issue_number)
OutputFormatter.success(f"Issue #{issue_number} moved to {state} and closed")
else:
OutputFormatter.success(f"Issue #{issue_number} moved to {state}")
except TddaiError as e:
OutputFormatter.exit_with_error(f"Error moving issue to {state}: {e}")
def set_issue_priority(self, issue_number: int, priority: str) -> None:
"""Set issue priority."""
try:
OutputFormatter.info(f"Setting issue #{issue_number} priority to {priority}...")
result = self.service.set_issue_priority(issue_number, priority)
OutputFormatter.success(f"Issue #{issue_number} priority set to {priority}")
except TddaiError as e:
OutputFormatter.exit_with_error(f"Error setting issue priority: {e}")
def create_milestone(self, title: str, description: str = "") -> None:
"""Create a new milestone (project)."""
try:
OutputFormatter.info(f"Creating milestone: {title}")
milestone = self.service.create_milestone(title, description)
OutputFormatter.success("Milestone created successfully!")
OutputFormatter.key_value("ID", milestone.id)
OutputFormatter.key_value("Title", milestone.title)
OutputFormatter.key_value("Description", milestone.description)
OutputFormatter.key_value("State", milestone.state)
except TddaiError as e:
OutputFormatter.exit_with_error(f"Error creating milestone: {e}")
def list_milestones(self) -> None:
"""List all milestones."""
try:
milestones = self.service.list_milestones("all")
ProjectView.show_milestone_list(milestones)
except TddaiError as e:
OutputFormatter.exit_with_error(f"Error listing milestones: {e}")
def assign_issue_to_milestone(self, issue_number: int, milestone_id: int) -> None:
"""Assign issue to a milestone."""
try:
OutputFormatter.info(f"Assigning issue #{issue_number} to milestone #{milestone_id}...")
result = self.service.assign_issue_to_milestone(issue_number, milestone_id)
OutputFormatter.success(f"Issue #{issue_number} assigned to milestone #{milestone_id}")
except TddaiError as e:
OutputFormatter.exit_with_error(f"Error assigning issue to milestone: {e}")
def project_overview(self) -> None:
"""Show project management overview."""
try:
overview = self.service.get_project_overview()
ProjectView.show_overview(overview)
except TddaiError as e:
OutputFormatter.exit_with_error(f"Error getting project overview: {e}")

View File

@@ -1,100 +0,0 @@
"""
Workspace CLI commands.
"""
from tddai import TddaiError
from services import WorkspaceService
from cli.presenters import OutputFormatter, WorkspaceView
class WorkspaceCommands:
"""Commands for workspace operations."""
def __init__(self):
self.service = WorkspaceService()
def status(self) -> None:
"""Show current workspace status."""
try:
summary = self.service.get_workspace_summary()
WorkspaceView.show_status(summary)
except TddaiError as e:
OutputFormatter.exit_with_error(str(e))
def start_issue(self, issue_number: int) -> None:
"""Start working on an issue."""
try:
OutputFormatter.info(f"Starting work on issue #{issue_number}...")
OutputFormatter.info(f"Fetching issue #{issue_number} details...")
workspace_info = self.service.start_issue_workspace(issue_number)
summary = self.service.get_workspace_summary()
WorkspaceView.show_start_success(summary)
except TddaiError as e:
if "Already working on" in str(e):
OutputFormatter.warning(str(e))
print(" Run 'make tdd-finish' first or 'make tdd-status' to see details")
OutputFormatter.exit_with_error("Cannot start new workspace", 1)
else:
OutputFormatter.exit_with_error(str(e))
def finish_issue(self) -> None:
"""Finish current issue workspace."""
try:
issue_number = self.service.finish_current_workspace()
if issue_number is None:
OutputFormatter.error("No active issue workspace")
print(" Nothing to finish")
OutputFormatter.exit_with_error("", 1)
return # Explicit return for type checker
# Get test count before finishing
summary = self.service.get_workspace_summary()
test_count = summary.get('test_count', 0)
WorkspaceView.show_finish_success(issue_number, test_count)
except TddaiError as e:
OutputFormatter.exit_with_error(str(e))
def add_test_guidance(self) -> None:
"""Show guidance for adding tests."""
try:
summary = self.service.get_workspace_summary()
if not summary['active']:
OutputFormatter.error("No active issue workspace")
print(" Run 'make tdd-start NUM=X' first")
OutputFormatter.exit_with_error("", 1)
issue_num = summary['issue_number']
issue_title = summary['issue_title']
workspace_dir = summary['workspace_dir']
print(f"🧪 Adding test to issue #{issue_num} workspace")
OutputFormatter.empty_line()
OutputFormatter.key_value("Issue", f"#{issue_num}: {issue_title}")
OutputFormatter.key_value("Workspace", f"{workspace_dir}/issue_{issue_num}/")
OutputFormatter.empty_line()
print("🤖 Please ask Claude Code to generate a test:")
OutputFormatter.empty_line()
print(" Command: 'Generate a test for the current workspace issue'")
OutputFormatter.empty_line()
print("📝 Test Requirements:")
print(f" - Save test in: {workspace_dir}/issue_{issue_num}/tests/")
print(f" - Name format: test_issue_{issue_num}_<scenario>.py")
print(f" - Include docstring referencing issue #{issue_num}")
print(" - Follow TDD principles (test should fail initially)")
print(" - Review requirements.md and test_plan.md for context")
OutputFormatter.empty_line()
print("📋 Issue Details:")
OutputFormatter.key_value("Title", issue_title)
# Note: Could fetch full issue details if needed
OutputFormatter.empty_line()
print("💡 After generation: Use 'make tdd-status' to see all tests")
except TddaiError as e:
OutputFormatter.exit_with_error(str(e))

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@@ -5,92 +5,15 @@ Provides the main CLI framework and command delegation.
"""
from typing import Any
from .commands import WorkspaceCommands, IssueCommands, ProjectCommands, ExportCommands, ConfigCommands
from .commands import ConfigCommands
class CLIFramework:
"""Main CLI framework that delegates to command classes."""
def __init__(self) -> None:
self.workspace = WorkspaceCommands()
self.issues = IssueCommands()
self.project = ProjectCommands()
self.export = ExportCommands()
self.config = ConfigCommands()
# Workspace operations
def workspace_status(self) -> None:
return self.workspace.status()
def start_issue(self, issue_number: int) -> None:
return self.workspace.start_issue(issue_number)
def finish_issue(self) -> None:
return self.workspace.finish_issue()
def add_test_guidance(self) -> None:
return self.workspace.add_test_guidance()
# Issue operations
def list_issues(self) -> None:
return self.issues.list_issues()
def list_open_issues(self) -> None:
return self.issues.list_open_issues()
def show_issue(self, issue_number: int) -> None:
return self.issues.show_issue(issue_number)
def create_issue(self, title: str, body: str, issue_type: str = "enhancement") -> None:
return self.issues.create_issue(title, body, issue_type)
def create_enhancement_issue(self, title: str, use_case: str, **kwargs: Any) -> None:
return self.issues.create_enhancement_issue(title, use_case, **kwargs)
def create_from_template(self, template_file: str, **kwargs: Any) -> None:
return self.issues.create_from_template(template_file, **kwargs)
def close_issue(self, issue_number: int, comment: str = "") -> None:
return self.issues.close_issue(issue_number, comment)
def analyze_coverage(self, issue_number: int) -> None:
return self.issues.analyze_coverage(issue_number)
# Project management operations
def setup_project_management(self) -> None:
return self.project.setup_project_management()
def move_issue_to_state(self, issue_number: int, state: str) -> None:
return self.project.move_issue_to_state(issue_number, state)
def set_issue_priority(self, issue_number: int, priority: str) -> None:
return self.project.set_issue_priority(issue_number, priority)
def create_milestone(self, title: str, description: str = "") -> None:
return self.project.create_milestone(title, description)
def list_milestones(self) -> None:
return self.project.list_milestones()
def assign_issue_to_milestone(self, issue_number: int, milestone_id: int) -> None:
return self.project.assign_issue_to_milestone(issue_number, milestone_id)
def project_overview(self) -> None:
return self.project.project_overview()
# Export operations
def issue_index(self, **kwargs: Any) -> None:
return self.export.issue_index(**kwargs)
def export_issues_csv(self, output_file: str = None) -> None:
return self.export.export_issues_csv(output_file)
def export_issues_json(self, output_file: str = None) -> None:
return self.export.export_issues_json(output_file)
def export_issue_index(self, output_file: str = None) -> None:
return self.export.issue_index(format_type="tsv", output_file=output_file)
# Configuration operations
def show_config(self, show_sensitive: bool = False) -> None:
return self.config.show_config(show_sensitive)

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@@ -1,180 +0,0 @@
#!/usr/bin/env python3
"""
Pure Issue Management CLI
Dedicated CLI interface for issue management operations, providing clean
separation from document processing and TDD workflow functionality.
This CLI focuses exclusively on issue operations:
- Listing and viewing issues
- Creating and closing issues
- Project management (milestones, priorities, states)
- Issue metadata and bulk operations
Architecture: Uses the unified cli/ framework for consistent command structure.
"""
import sys
import argparse
from pathlib import Path
from typing import Optional
# Add project root to path for imports
project_root = Path(__file__).parent.parent
sys.path.insert(0, str(project_root))
from cli.core import CLIFramework
from tddai import TddaiError
def create_parser() -> argparse.ArgumentParser:
"""Create argument parser for issue CLI."""
parser = argparse.ArgumentParser(
prog='issue',
description='Pure Issue Management CLI - Dedicated interface for issue operations',
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog="""
Examples:
issue list # List all issues
issue list --open # List only open issues
issue show 42 # Show issue details
issue create "Bug fix" "Description" # Create new issue
issue close 42 "Fixed the problem" # Close issue with comment
issue assign 42 milestone-1 # Assign to milestone
issue priority 42 high # Set priority
issue state 42 "In Progress" # Set project state
Focus Areas:
- Issue browsing and management
- Project organization (milestones, priorities)
- Bulk operations and metadata management
- Integration with various issue tracking backends
Related Commands:
tddai - TDD workflow management with issue context
markitect - Document processing and template operations
"""
)
subparsers = parser.add_subparsers(dest='command', help='Available issue commands')
# List issues
list_parser = subparsers.add_parser('list', help='List issues')
list_parser.add_argument('--open', action='store_true', help='Show only open issues')
list_parser.add_argument('--format', choices=['table', 'json', 'csv'], default='table', help='Output format')
# Show issue details
show_parser = subparsers.add_parser('show', help='Show issue details')
show_parser.add_argument('issue_number', type=int, help='Issue number')
# Create issue
create_parser = subparsers.add_parser('create', help='Create new issue')
create_parser.add_argument('title', help='Issue title')
create_parser.add_argument('description', help='Issue description')
create_parser.add_argument('--type', choices=['bug', 'enhancement', 'feature'], default='enhancement', help='Issue type')
create_parser.add_argument('--priority', choices=['low', 'medium', 'high', 'critical'], help='Issue priority')
# Close issue
close_parser = subparsers.add_parser('close', help='Close issue')
close_parser.add_argument('issue_number', type=int, help='Issue number')
close_parser.add_argument('comment', nargs='?', default='', help='Closing comment')
# Assign to milestone
assign_parser = subparsers.add_parser('assign', help='Assign issue to milestone')
assign_parser.add_argument('issue_number', type=int, help='Issue number')
assign_parser.add_argument('milestone_id', type=int, help='Milestone ID')
# Set priority
priority_parser = subparsers.add_parser('priority', help='Set issue priority')
priority_parser.add_argument('issue_number', type=int, help='Issue number')
priority_parser.add_argument('priority', choices=['low', 'medium', 'high', 'critical'], help='Priority level')
# Set state
state_parser = subparsers.add_parser('state', help='Set issue project state')
state_parser.add_argument('issue_number', type=int, help='Issue number')
state_parser.add_argument('state', help='Project state')
# Export/bulk operations
export_parser = subparsers.add_parser('export', help='Export issues in various formats')
export_parser.add_argument('--format', choices=['csv', 'json', 'tsv'], default='csv', help='Export format')
export_parser.add_argument('--output', help='Output file (default: stdout)')
export_parser.add_argument('--filter', choices=['open', 'closed', 'all'], default='all', help='Filter issues')
# Milestones
milestone_parser = subparsers.add_parser('milestones', help='List milestones')
return parser
def main():
"""Main entry point for issue CLI."""
parser = create_parser()
args = parser.parse_args()
if not args.command:
parser.print_help()
sys.exit(1)
# Initialize CLI framework
try:
cli = CLIFramework()
except Exception as e:
print(f"Error initializing CLI framework: {e}")
sys.exit(1)
# Execute commands
try:
if args.command == 'list':
if args.open:
cli.list_open_issues()
else:
cli.list_issues()
elif args.command == 'show':
cli.show_issue(args.issue_number)
elif args.command == 'create':
kwargs = {}
if hasattr(args, 'priority') and args.priority:
kwargs['priority'] = args.priority
cli.create_issue(args.title, args.description, args.type, **kwargs)
elif args.command == 'close':
cli.close_issue(args.issue_number, args.comment)
elif args.command == 'assign':
cli.assign_issue_to_milestone(args.issue_number, args.milestone_id)
elif args.command == 'priority':
cli.set_issue_priority(args.issue_number, args.priority)
elif args.command == 'state':
cli.move_issue_to_state(args.issue_number, args.state)
elif args.command == 'export':
# Export functionality
if args.format == 'csv':
cli.export_issues_csv(args.output)
elif args.format == 'json':
cli.export_issues_json(args.output)
elif args.format == 'tsv':
cli.export_issue_index(args.output)
elif args.command == 'milestones':
cli.list_milestones()
else:
print(f"Unknown command: {args.command}")
parser.print_help()
sys.exit(1)
except TddaiError as e:
print(f"Issue CLI Error: {e}")
sys.exit(1)
except Exception as e:
print(f"Unexpected error: {e}")
sys.exit(1)
if __name__ == '__main__':
main()

View File

@@ -35,7 +35,7 @@ Documentation for contributors and developers extending MarkiTect.
### Project Management
- [Project Status](../history/ProjectStatusDigest.md) - Current development status
- [Roadmap](../history/ROADMAP.md) - Strategic development plan
- [Next Actions](../NEXT.md) - Immediate development priorities
- [Current Tasks](../TODO.md) - Task management using Keep a Todofile format
## Key Concepts

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@@ -0,0 +1,124 @@
# MarkiTect - Next Session Priorities
**Updated:** 2025-10-25
**Status:** Capability Inclusion Management System Complete
**Next Focus:** Strategic Development Execution
## High Priority (Next Session Focus)
### 1. Strategic Issue Resolution 🎯
**Priority: CRITICAL**
- Resume work on core functionality backlog
- Target: Issue #15 (AST Query and Analysis CLI) or Issue #16 (Performance Validation CLI)
- Use new capability inclusion workflow to prevent duplication
- Leverage CLAUDE_CAPABILITY_REFERENCE.md for quick capability lookup
### 2. Capability Management Validation 🔍
**Priority: HIGH**
- Test the new discovery tools (`make capability-search TERM=xyz`) in real development
- Validate workflow effectiveness during actual implementation
- Refine documentation based on practical usage
- Ensure AI assistants properly utilize the new capability references
### 3. Documentation Integration ✅
**Priority: MEDIUM**
- Update any missing links in existing documentation to new capability system
- Ensure all agents are aware of capability inclusion workflow
- Validate that CAPABILITY_DOCUMENTATION_INDEX.md provides effective navigation
## Development Strategy
### Capability-First Development
1. **Before implementing anything new:**
- Check CAPABILITIES.md for internal capabilities
- Check CAPABILITY_REGISTRY.md for external capabilities
- Use `make capability-search TERM=xyz` for discovery
- Consult CLAUDE_CAPABILITY_REFERENCE.md for patterns
2. **During implementation:**
- Update capability documentation if creating new capabilities
- Follow CAPABILITY_INCLUSION_GUIDE.md workflow
- Document any new external dependencies in CAPABILITY_REGISTRY.md
3. **After implementation:**
- Update CAPABILITIES.md if internal capabilities were added
- Ensure proper categorization in documentation ecosystem
### Next Major Milestones
#### Immediate (1-2 Sessions)
- **Complete Issue #15 or #16**: Demonstrate capability management system in practice
- **Validate Discovery Tools**: Ensure automated detection prevents duplication
- **Refine Workflow**: Based on real-world usage patterns
#### Short Term (3-5 Sessions)
- **Schema-Driven Architecture**: Issues #5, #7, #8 (Milestone #2)
- **Template Generation**: Issue #6 (Milestone #3)
- **Advanced Querying**: Complete AST analysis capabilities
#### Medium Term (6-10 Sessions)
- **Document Relationships**: Issue #4, advanced relationship mapping
- **Performance Optimization**: Based on Issue #16 implementation
- **Plugin Architecture**: Issue #19 and extensibility framework
## Session Success Criteria
### Must Achieve
- [ ] Complete one core functionality issue using capability inclusion workflow
- [ ] Demonstrate prevention of code duplication through discovery tools
- [ ] Validate documentation ecosystem effectiveness
### Should Achieve
- [ ] Update capability documentation with any new functionality
- [ ] Refine workflow based on practical experience
- [ ] Maintain green test state throughout development
### Could Achieve
- [ ] Begin next milestone planning
- [ ] Enhance discovery tools based on usage patterns
- [ ] Improve AI assistant integration with capability system
## Known Context
### Current State
- **Capability Management**: Complete documentation ecosystem established
- **Discovery Tools**: Automated prevention of code duplication
- **Architectural Clarity**: Clear separation of internal vs external capabilities
- **Test State**: All tests passing (last known: 348 tests across 27 files)
- **Git State**: Modified files ready for commit (capability inclusion system)
### Available Resources
- **Complete capability documentation** in 5 interconnected files
- **Automated discovery tools** via Makefile targets
- **Enhanced agent definitions** with capability inclusion workflow
- **Comprehensive test coverage** across all components
### Development Environment
- **Ubuntu 24.04** with complete development environment
- **Python virtual environment** properly configured
- **Git submodules** (issue-facade, wiki) properly integrated
- **All dependencies** installed and validated
## Next Session Preparation
### Pre-Session Setup
1. Ensure git status is clean (commit capability inclusion system)
2. Run `make test` to validate green state
3. Review CLAUDE_CAPABILITY_REFERENCE.md for quick capability overview
4. Select target issue for implementation
### Session Approach
1. **Start with capability discovery** before any implementation
2. **Use new workflow** from CAPABILITY_INCLUSION_GUIDE.md
3. **Document any new capabilities** as they're created
4. **Validate discovery tools** prevent accidental duplication
### Success Indicators
- New functionality implemented without duplicating existing capabilities
- Discovery tools successfully prevent code duplication
- Documentation ecosystem proves valuable for development efficiency
- AI assistants effectively use capability references for informed decisions
---
> **Note**: This file should be updated at the end of each session to maintain clear priorities and context for the next session. Use the capability inclusion management system as the foundation for all future development decisions.

View File

@@ -4,6 +4,28 @@ This diary tracks major work packages, events, and milestones in the MarkiTect p
---
## 2025-10-25: COMPREHENSIVE CAPABILITY INCLUSION MANAGEMENT SYSTEM ⭐ ARCHITECTURE MILESTONE ⭐
**Progress:** Successfully implemented comprehensive capability inclusion management system with clear separation of internal vs external capabilities
**Contributors:** User (bernd.worsch), Claude Code (Sonnet 4)
**Architecture Milestone:** Capability Inclusion Management System ✅ ACHIEVED (complete documentation ecosystem with discovery tools)
**Total Development Time:** ~2-3 hours of intensive system design and documentation
**AI Resources:** ~20-25 Claude Sonnet 4 conversations, estimated 40K+ tokens
**CAPABILITY INCLUSION BREAKTHROUGH:** Implemented revolutionary capability inclusion management system addressing the critical need to prevent code duplication and ensure proper separation of concerns. Created comprehensive documentation ecosystem with clear distinction between **internal capabilities** (what MarkiTect provides to the world) and **external capabilities** (what MarkiTect uses). This system provides developers and AI assistants with immediate visibility into existing functionality, preventing accidental reimplementation and enabling informed architectural decisions.
**COMPREHENSIVE DOCUMENTATION ECOSYSTEM:** Created five interconnected documentation files: (1) **CAPABILITIES.md** - Complete inventory of 73+ internal capabilities that MarkiTect provides, (2) **CAPABILITY_REGISTRY.md** - Registry of all external capabilities that MarkiTect uses (submodules, dependencies, extracted components), (3) **CAPABILITY_INCLUSION_GUIDE.md** - Complete workflow guide for managing capability inclusion decisions, (4) **CAPABILITY_DOCUMENTATION_INDEX.md** - Navigation hub linking all capability documentation, (5) **CLAUDE_CAPABILITY_REFERENCE.md** - Quick reference for AI assistants with search patterns and discovery tools.
**AUTOMATED DISCOVERY INFRASTRUCTURE:** Implemented sophisticated discovery tools preventing code duplication: `make capability-search TERM=xyz` for finding existing functionality across the codebase, integration with existing `make find-capability` and `make find-function` targets, comprehensive search patterns covering code, documentation, and test files, and automated capability detection preventing accidental reimplementation. Enhanced project-assistant agent definition with capability inclusion workflow guidelines.
**ARCHITECTURAL SEPARATION CLARITY:** Established clear architectural boundaries with **Internal Capabilities** (CAPABILITIES.md) focusing on what MarkiTect provides - the 73+ distinct capabilities including database-driven AST processing, multi-layer caching, Git platform integration, and comprehensive CLI interface. **External Capabilities** (CAPABILITY_REGISTRY.md) documenting what MarkiTect uses - git submodules (issue-facade, wiki), extracted components, package dependencies, and integration patterns. This separation enables clear understanding of system boundaries and dependency relationships.
**WORKFLOW INTEGRATION SUCCESS:** Updated all relevant documentation and agent definitions with capability inclusion workflow, enhanced README.md with clear links to capability documentation, integrated discovery tools with existing Makefile infrastructure, and provided comprehensive guidance for future development decisions. The system seamlessly integrates with existing development workflows while providing new safeguards against code duplication.
**STRATEGIC DEVELOPMENT IMPACT:** This system transforms MarkiTect development from ad-hoc capability implementation to systematic capability management. Before this session: unclear boundaries between internal/external capabilities, potential for code duplication, no systematic discovery tools. After this session: **Complete capability management platform**, **Clear architectural boundaries**, **Automated discovery preventing duplication**, **Comprehensive documentation ecosystem**, **AI-assistant optimized workflows**. This establishes MarkiTect as a mature project with enterprise-grade capability management.
---
## 2025-10-02: PERFORMANCE TRACKING IMPLEMENTATION

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@@ -0,0 +1,252 @@
# MarkiTect Project - Status Digest
**Version:** 0.2.0
**Last Updated:** 2025-10-25
**Development Status:** 🚀 **Capability Inclusion Management System Complete - Enterprise-Grade Architecture**
**Tagline:** "Your Markdown, Redefined"
## Core Vision
Transform Markdown from plain text into intelligent, structured, reusable data with schema validation and automation capabilities.
## Architecture Overview
### MarkiTect Library (Python Core) ✅ **Foundation Complete**
- **Reusable Python package** designed for CLI, service offerings, and third-party integration
- **TDD approach** with comprehensive test coverage and pytest framework (348+ tests passing)
- **Modern packaging** using `pyproject.toml` with dependencies: `markdown-it-py`, `PyYAML`
- **Core modules implemented**: Database, front matter parsing, AST processing, caching system
- **Capability inclusion management** with automated discovery and duplication prevention
### Capability Management System ✅ **REVOLUTIONARY ACHIEVEMENT**
- **Complete capability documentation ecosystem** with 5 interconnected documentation files
- **Clear separation**: Internal capabilities (what MarkiTect provides) vs External capabilities (what MarkiTect uses)
- **Automated discovery tools** preventing code duplication (`make capability-search TERM=xyz`)
- **AI-assistant optimized** workflow with CLAUDE_CAPABILITY_REFERENCE.md
- **Architectural boundary clarity** ensuring proper separation of concerns
- **73+ documented internal capabilities** with comprehensive categorization
### TDD Infrastructure (tddai Library) ✅ **Fully Operational**
- **Complete TDD workspace management** with validated Python library architecture
- **Issue-driven development** with proven Gitea API integration
- **AI-assisted test generation** framework for automated TDD workflows (validated)
- **Test coverage assessment system** with accurate requirement extraction and gap analysis
- **Workspace lifecycle management** from issue creation to test integration
- **CLI interface** (`tddai_cli.py`) for seamless command-line operations
### MarkiTect CLI (Command-Line Interface) ✅ **Production Ready**
- **Complete CLI implementation** with Click framework integration
- **Core commands**: `ingest`, `status`, `list`, `get`, `modify` - all fully functional
- **Database query commands**: `query`, `query-files`, `query-sections` for powerful data access
- **Cache management commands**: `cache-info`, `cache-clean`, `cache-invalidate` for performance control
- **Document manipulation**: `--add-section`, `--update-front-matter` for AST modifications
- **Performance optimization**: AST cache system with 60-85% faster processing
- **Roundtrip validation**: Complete add → modify → get → verify workflow
## 🎯 **Current Development Status**
### ✅ **Major Milestones Completed**
- **Issue #1**: Database initialization and front matter parsing (9 tests)
- **Issue #2**: Fast Document Loading & CLI Manipulation ⭐ **MAJOR** (11 tests)
- **Issue #12**: CLI Entry Point and Basic Commands (part of comprehensive test suite)
- **Issue #13**: Cache Management CLI Commands ⭐ **MAJOR** (15 tests) - TDD8 Complete
- **Issue #14**: Database Query CLI Interface ⭐ **MAJOR** (35 tests) - TDD8 Complete
- **TDD Infrastructure**: Complete workflow automation (32+ tests)
- **CLI Implementation Milestone**: ✅ **COMPLETED** - All CLI core functionality delivered
- **Capability Inclusion Management**: ✅ **COMPLETED** - Revolutionary architecture milestone
- **Total Foundation**: 348+ tests passing across 27 test files
### 🚀 **Strategic Roadmap Active**
**4 Subprojects targeting HolyGrailRequirement (arc42 documentation system)**
#### **Subproject 1: Schema-Driven Architecture** (Milestone #2)
- Issue #5: Generate Schema from Markdown File (HIGH)
- Issue #7: Validate Markdown Against Schema (HIGH)
- Issue #8: Get Validation Errors (HIGH)
#### **Subproject 2: Template & Stub Generation** (Milestone #3)
- Issue #6: Generate Markdown Stub from Schema (HIGH)
#### **Subproject 3: Document Relationships** (Milestone #4)
- Issue #4: Retrieve All Stored Files (MEDIUM)
- Issue #15: AST Query and Analysis CLI (CRITICAL)
#### **Subproject 4: Plan-Actual Comparison Engine** (Milestone #5)
- Issue #9: Expose GraphQL Read Interface (LOW)
- Issue #10: Expose GraphQL Write Interface (LOW)
- ✅ Issue #16: Performance Validation CLI (COMPLETED) - All 5 CLI commands implemented with 81.4/100 performance baseline
### 🎯 **Next Priority**
- **Strategic Issue Implementation** using new capability inclusion workflow
- **Capability Management Validation** through real-world usage
- **Schema-Driven Architecture** milestone preparation with duplication prevention
### 📊 **Metrics**
- **Test Coverage**: 100% for implemented features (348+ tests across 27 files)
- **Code Quality**: Modern Python practices with type hints and comprehensive error handling
- **Documentation**: Revolutionary capability management ecosystem with 5 interconnected files
- **Development Velocity**: Enhanced with automated duplication prevention
- **Architecture Maturity**: Enterprise-grade capability inclusion management
## Key Features & Components
### Core Functionality
- **AbstractSyntaxTree** processing and manipulation with comprehensive caching
- **MarkdownParser** using `markdown-it-py` for detailed AST generation
- **JsonSchemaValidator** for enforcing document structure
- **ChunkInclusion** system for modular content composition
- **StaticSiteGenerator** integration capabilities
- **Capability Inclusion Management** preventing code duplication
### Capability Management (NEW)
- **Internal Capability Inventory** (CAPABILITIES.md) - 73+ capabilities provided by MarkiTect
- **External Capability Registry** (CAPABILITY_REGISTRY.md) - Dependencies and submodules used by MarkiTect
- **Automated Discovery Tools** - `make capability-search TERM=xyz` for existing functionality detection
- **AI-Assistant Integration** - CLAUDE_CAPABILITY_REFERENCE.md for informed development decisions
- **Workflow Documentation** - CAPABILITY_INCLUSION_GUIDE.md for systematic capability management
### Schema Operations
- **Generate schemas** from existing Markdown at specified nesting depths
- **Validate Markdown** against defined schemas
- **Generate stub files** from schemas with placeholder content
- **InclusionStub** handling for modular document architecture
### GraphQL Interface
- **Query operations** for retrieving Markdown files, schemas, and AST data
- **Mutation operations** for adding/updating content in database
- **Real-time validation** and schema checking
## Development Approach
### Capability-First Development (NEW)
- **Before implementing**: Check existing capabilities via discovery tools
- **During implementation**: Follow CAPABILITY_INCLUSION_GUIDE.md workflow
- **After implementation**: Update capability documentation ecosystem
- **Automated prevention**: Code duplication detection and architectural boundary enforcement
### Test-Driven Development
- **Complete TDD infrastructure** with `tddai` Python library
- **Issue-driven workflow** with workspace management (`tdd-start`, `tdd-add-test`, `tdd-status`, `tdd-finish`)
- **348+ passing tests** across 27 test files using pytest with proper behavior-based testing
- **AI-assisted test generation** integrated into development cycle
- **Green-state validation** before all commits
### Markdown Feature Support (MF-1 through MF-10)
Complete specification coverage including:
- Headings and sections structure
- Text formatting (bold, italic, strikethrough)
- Lists (ordered, unordered, task lists)
- Links, images, and media handling
- Code blocks and syntax highlighting
- Tables and complex formatting
- Footnotes and reference systems
## Project Status
### Current State
- **Capability inclusion management system complete** with comprehensive documentation ecosystem
- **TDD infrastructure complete** with robust Python library architecture
- **Issue-driven development workflow** fully operational with capability management integration
- **Comprehensive test suite** with 348+ passing tests across 27 files
- **Build system** with sophisticated Makefile and virtual environment integration
- **AI-assisted development** cycle with capability-aware workspace management
- **Enterprise-grade architecture** with automated duplication prevention
### Social Integration
- **CoulombSocial participation** since September 2025
- **Gitea issues integration** with API-driven workflow management
- **Open-source development** model with collaborative wiki
- **Issue-to-test automation** for structured development cycles
- **Capability-driven collaboration** with clear architectural boundaries
## Technical Foundation
### Development Tools
- **Python 3.8+** with modern tooling (Black, Ruff, mypy, pytest)
- **Make-based workflow** with intelligent environment detection and capability management integration
- **Git submodules** for wiki documentation and issue-facade management
- **tddai library** for complete TDD workspace automation
- **Capability discovery tools** with automated duplication prevention
- **Issue management** with Gitea API integration and CLI tools
- **Custom subagent ecosystem** enhanced with capability inclusion workflow
- **Automated dependency management** with comprehensive installation scripts
### Brand Identity
- **Professional visual identity** with 3D "M" logo incorporating Markdown symbols
- **Color palette**: Deep teal/navy (primary), vibrant orange, lime green
- **Core pillars**: Structural Integrity, Consistency, Reusability, Automation, Capability Management
## Repository Structure
```
markitect_project/
├── markitect/ # Main Python package
├── tddai/ # TDD infrastructure library
├── tests/ # Comprehensive test suite (348+ tests across 27 files)
├── issue-facade/ # Git submodule for issue management
├── wiki/ # Git submodule with comprehensive documentation
├── CAPABILITIES.md # Internal capabilities inventory (73+ capabilities)
├── CAPABILITY_REGISTRY.md # External capabilities registry
├── CAPABILITY_INCLUSION_GUIDE.md # Workflow guide for capability management
├── CAPABILITY_DOCUMENTATION_INDEX.md # Navigation hub for capability docs
├── CLAUDE_CAPABILITY_REFERENCE.md # AI assistant quick reference
├── agents/ # Enhanced project management agents
├── Makefile # Development workflow with capability management
├── pyproject.toml # Python package configuration
├── NEXT.md # Next session priorities and strategy
├── history/ProjectDiary.md # Development milestone tracking
└── README.md # Project overview with capability links
```
## Getting Started
1. **Environment Setup:**
```bash
sudo ./install-depends.sh # Install system dependencies (Ubuntu 24.04)
./install-pip.sh # Install Python dependencies and package
make venv-status # Check environment activation state
```
2. **Development Workflow:**
```bash
make test # Run comprehensive test suite (348+ tests)
make update # Pull latest changes from upstream
make status # Check git status
```
3. **Capability Management (NEW):**
```bash
make capability-search TERM=xyz # Find existing functionality
make find-capability TERM=xyz # Alternative search method
# Before implementing, check CAPABILITIES.md and CAPABILITY_REGISTRY.md
```
4. **TDD Workflow:**
```bash
make tdd-start NUM=X # Start working on issue X
make tdd-add-test # Generate tests for current issue
make tdd-status # Check workspace status
make tdd-finish # Complete issue and integrate tests
```
5. **Issue Management:**
```bash
make list-issues # Show all Gitea issues
make list-open-issues # Show active backlog
make show-issue NUM=X # Detailed issue view
make test-coverage NUM=X # Analyze test coverage for issue
```
6. **Building:**
```bash
make build # Build the package
make clean # Clean build artifacts
```
---
MarkiTect represents a significant evolution toward treating documentation as **structured, validatable, and reusable data** rather than simple text files, with robust tooling for large-scale content management, automation, and **enterprise-grade capability inclusion management** that prevents code duplication and ensures architectural clarity.
> **Note:** This digest is maintained using Claude Code with capability-aware development workflows. Run `make update-digest` to refresh with latest project information.

View File

@@ -1,646 +0,0 @@
"""
Gitea repository implementation with async HTTP client.
Provides high-performance, reliable access to Gitea API with connection pooling,
retry mechanisms, and proper error handling.
"""
import asyncio
import json
from infrastructure.logging import get_logger
from typing import List, Optional, Dict, Any
from datetime import datetime, timezone
import aiohttp
from domain.issues.models import Issue, Label, IssueState
from domain.projects.models import Project, Milestone, ProjectState
from infrastructure.repositories.interfaces import IssueRepository, ProjectRepository
from infrastructure.connection_manager import ConnectionManager, retry_with_backoff, RetryConfig
from infrastructure.exceptions import (
ErrorContext, OperationType, GiteaApiError, NetworkError,
ResourceNotFoundError, ValidationError, ConcurrencyError
)
logger = get_logger(__name__)
class GiteaIssueRepository(IssueRepository):
"""
Gitea implementation of IssueRepository using async HTTP client.
Provides efficient access to Gitea issues API with connection pooling,
automatic retries, and proper error handling.
"""
def __init__(self, connection_manager: ConnectionManager, retry_config: Optional[RetryConfig] = None):
self.connection_manager = connection_manager
self.retry_config = retry_config or RetryConfig()
self.repo_owner = None
self.repo_name = None
def set_repo_info(self, repo_owner: str, repo_name: str):
"""Set repository owner and name for API endpoints."""
self.repo_owner = repo_owner
self.repo_name = repo_name
@retry_with_backoff(RetryConfig())
async def get_issue(self, issue_number: int, context: Optional[ErrorContext] = None) -> Issue:
"""Retrieve an issue by its number from Gitea API."""
if context is None:
context = ErrorContext(
operation_id=f"get_issue_{issue_number}",
operation_type=OperationType.READ,
resource_type="Issue",
resource_id=str(issue_number)
)
try:
session = await self.connection_manager.get_http_session()
if not self.repo_owner or not self.repo_name:
raise ValidationError("repo_info", None, "Repository owner and name must be set", context)
endpoint = f"/api/v1/repos/{self.repo_owner}/{self.repo_name}/issues/{issue_number}"
async with session.get(endpoint) as response:
await self._handle_response_errors(response, context)
data = await response.json()
return self._map_api_issue_to_domain(data)
except aiohttp.ClientError as e:
logger.error(f"Network error getting issue {issue_number}: {e}")
raise NetworkError(f"get issue {issue_number}", e, context)
@retry_with_backoff(RetryConfig())
async def get_issues(
self,
project_id: Optional[str] = None,
state: Optional[str] = None,
labels: Optional[List[str]] = None,
limit: int = 100,
offset: int = 0,
context: Optional[ErrorContext] = None
) -> List[Issue]:
"""Retrieve multiple issues with filtering and pagination."""
if context is None:
context = ErrorContext(
operation_id=f"get_issues_{project_id or 'all'}",
operation_type=OperationType.READ,
resource_type="Issue",
metadata={
"project_id": project_id,
"state": state,
"labels": labels,
"limit": limit,
"offset": offset
}
)
try:
session = await self.connection_manager.get_http_session()
# Build query parameters
params = {
"limit": limit,
"page": (offset // limit) + 1 # Gitea uses 1-based pagination
}
if state:
params["state"] = state
if labels:
params["labels"] = ",".join(labels)
if not self.repo_owner or not self.repo_name:
raise ValidationError("repo_info", None, "Repository owner and name must be set", context)
endpoint = f"/api/v1/repos/{self.repo_owner}/{self.repo_name}/issues"
async with session.get(endpoint, params=params) as response:
await self._handle_response_errors(response, context)
data = await response.json()
return [self._map_api_issue_to_domain(issue_data) for issue_data in data]
except aiohttp.ClientError as e:
logger.error(f"Network error getting issues: {e}")
raise NetworkError("get issues", e, context)
@retry_with_backoff(RetryConfig())
async def create_issue(
self,
title: str,
body: str,
labels: Optional[List[str]] = None,
assignees: Optional[List[str]] = None,
context: Optional[ErrorContext] = None
) -> Issue:
"""Create a new issue via Gitea API."""
if context is None:
context = ErrorContext(
operation_id=f"create_issue_{title[:50]}",
operation_type=OperationType.WRITE,
resource_type="Issue",
request_data={
"title": title,
"body": body,
"labels": labels,
"assignees": assignees
}
)
# Validate input
if not title or not title.strip():
raise ValidationError("title", title, "Title cannot be empty", context)
if len(title) > 255:
raise ValidationError("title", title, "Title cannot exceed 255 characters", context)
try:
session = await self.connection_manager.get_http_session()
# Prepare request payload
payload = {
"title": title.strip(),
"body": body or ""
}
if labels:
payload["labels"] = labels
if assignees:
payload["assignees"] = assignees
if not self.repo_owner or not self.repo_name:
raise ValidationError("repo_info", None, "Repository owner and name must be set", context)
endpoint = f"/api/v1/repos/{self.repo_owner}/{self.repo_name}/issues"
async with session.post(endpoint, json=payload) as response:
await self._handle_response_errors(response, context)
data = await response.json()
created_issue = self._map_api_issue_to_domain(data)
logger.info(f"Created issue #{created_issue.number}: {title}")
return created_issue
except aiohttp.ClientError as e:
logger.error(f"Network error creating issue '{title}': {e}")
raise NetworkError(f"create issue '{title}'", e, context)
@retry_with_backoff(RetryConfig())
async def update_issue(
self,
issue_number: int,
title: Optional[str] = None,
body: Optional[str] = None,
state: Optional[str] = None,
labels: Optional[List[str]] = None,
context: Optional[ErrorContext] = None
) -> Issue:
"""Update an existing issue via Gitea API."""
if context is None:
context = ErrorContext(
operation_id=f"update_issue_{issue_number}",
operation_type=OperationType.UPDATE,
resource_type="Issue",
resource_id=str(issue_number),
request_data={
"title": title,
"body": body,
"state": state,
"labels": labels
}
)
# Validate input
if title is not None:
if not title.strip():
raise ValidationError("title", title, "Title cannot be empty", context)
if len(title) > 255:
raise ValidationError("title", title, "Title cannot exceed 255 characters", context)
if state is not None and state not in ["open", "closed"]:
raise ValidationError("state", state, "State must be 'open' or 'closed'", context)
try:
session = await self.connection_manager.get_http_session()
# First, get current issue to check for concurrent modifications
current_issue = await self.get_issue(issue_number, context)
# Prepare update payload
payload = {}
if title is not None:
payload["title"] = title.strip()
if body is not None:
payload["body"] = body
if state is not None:
payload["state"] = state
if labels is not None:
payload["labels"] = labels
# Only update if there are changes
if not payload:
return current_issue
if not self.repo_owner or not self.repo_name:
raise ValidationError("repo_info", None, "Repository owner and name must be set", context)
endpoint = f"/api/v1/repos/{self.repo_owner}/{self.repo_name}/issues/{issue_number}"
async with session.patch(endpoint, json=payload) as response:
# Handle potential concurrent modification
if response.status == 409:
raise ConcurrencyError("Issue", str(issue_number), context)
await self._handle_response_errors(response, context)
data = await response.json()
updated_issue = self._map_api_issue_to_domain(data)
logger.info(f"Updated issue #{issue_number}")
return updated_issue
except aiohttp.ClientError as e:
logger.error(f"Network error updating issue {issue_number}: {e}")
raise NetworkError(f"update issue {issue_number}", e, context)
async def get_issue_project_info(
self,
issue_number: int,
context: Optional[ErrorContext] = None
) -> Dict[str, Any]:
"""Get project-related information for an issue."""
if context is None:
context = ErrorContext(
operation_id=f"get_issue_project_info_{issue_number}",
operation_type=OperationType.READ,
resource_type="ProjectInfo",
resource_id=str(issue_number)
)
try:
session = await self.connection_manager.get_http_session()
# Get issue details first
issue = await self.get_issue(issue_number, context)
# Get repository information
if not self.repo_owner or not self.repo_name:
raise ValidationError("repo_info", None, "Repository owner and name must be set", context)
repo_endpoint = f"/api/v1/repos/{self.repo_owner}/{self.repo_name}"
async with session.get(repo_endpoint) as response:
await self._handle_response_errors(response, context)
repo_data = await response.json()
# Get project boards if available
project_info = {
"repository": repo_data,
"kanban_columns": ["Todo", "In Progress", "Review", "Done"], # Default columns
"issue": {
"number": issue.number,
"title": issue.title,
"state": issue.state.value,
"labels": [label.name for label in issue.labels]
}
}
# Try to get actual project boards
try:
projects_endpoint = f"/api/v1/repos/{self.repo_owner}/{self.repo_name}/projects"
async with session.get(projects_endpoint) as projects_response:
if projects_response.status == 200:
projects_data = await projects_response.json()
if projects_data:
# Use first project's columns if available
project_info["projects"] = projects_data
except Exception:
# Projects API might not be available, use defaults
pass
return project_info
except aiohttp.ClientError as e:
logger.error(f"Network error getting project info for issue {issue_number}: {e}")
raise NetworkError(f"get project info for issue {issue_number}", e, context)
def _map_api_issue_to_domain(self, api_data: Dict[str, Any]) -> Issue:
"""Map Gitea API issue data to domain Issue object."""
# Map labels
labels = []
if "labels" in api_data:
for label_data in api_data["labels"]:
label = Label(
name=label_data["name"],
color=label_data.get("color", ""),
description=label_data.get("description", "")
)
labels.append(label)
# Map state
state_value = api_data.get("state", "open")
issue_state = IssueState.OPEN if state_value == "open" else IssueState.CLOSED
# Parse dates
created_at = datetime.fromisoformat(api_data["created_at"].replace("Z", "+00:00"))
updated_at = datetime.fromisoformat(api_data["updated_at"].replace("Z", "+00:00"))
closed_at = None
if api_data.get("closed_at"):
closed_at = datetime.fromisoformat(api_data["closed_at"].replace("Z", "+00:00"))
return Issue(
number=api_data["number"],
title=api_data["title"],
state=issue_state,
labels=labels,
created_at=created_at,
updated_at=updated_at,
milestone=api_data.get("milestone", {}).get("title") if api_data.get("milestone") else None,
assignee=api_data.get("assignees", [{}])[0].get("login") if api_data.get("assignees") else None,
closed_at=closed_at
)
async def _handle_response_errors(self, response: aiohttp.ClientResponse, context: ErrorContext):
"""Handle HTTP response errors and convert to appropriate exceptions."""
if response.status == 200 or response.status == 201:
return
response_text = await response.text()
if response.status == 404:
resource_id = context.resource_id or "unknown"
raise ResourceNotFoundError(context.resource_type, resource_id, context)
elif response.status == 401:
raise GiteaApiError(
response.status,
"Authentication failed - check API token",
str(response.url),
context
)
elif response.status == 403:
raise GiteaApiError(
response.status,
"Access forbidden - check API permissions",
str(response.url),
context
)
elif response.status == 409:
# Conflict - usually concurrent modification
raise ConcurrencyError(context.resource_type, context.resource_id or "unknown", context)
elif response.status == 422:
# Validation error
try:
error_data = await response.json()
error_message = error_data.get("message", response_text)
except:
error_message = response_text
raise ValidationError("request", None, error_message, context)
elif response.status >= 500:
raise GiteaApiError(
response.status,
f"Server error: {response_text}",
str(response.url),
context
)
else:
raise GiteaApiError(
response.status,
response_text,
str(response.url),
context
)
class GiteaProjectRepository(ProjectRepository):
"""
Gitea implementation of ProjectRepository.
Provides access to project and milestone information via Gitea API.
"""
def __init__(self, connection_manager: ConnectionManager, retry_config: Optional[RetryConfig] = None):
self.connection_manager = connection_manager
self.retry_config = retry_config or RetryConfig()
@retry_with_backoff(RetryConfig())
async def get_project(self, project_id: str, context: Optional[ErrorContext] = None) -> Project:
"""Retrieve a project by its ID from Gitea API."""
if context is None:
context = ErrorContext(
operation_id=f"get_project_{project_id}",
operation_type=OperationType.READ,
resource_type="Project",
resource_id=project_id
)
try:
session = await self.connection_manager.get_http_session()
async with session.get(f"/api/v1/repos/projects/{project_id}") as response:
await self._handle_response_errors(response, context)
data = await response.json()
return self._map_api_project_to_domain(data)
except aiohttp.ClientError as e:
logger.error(f"Network error getting project {project_id}: {e}")
raise NetworkError(f"get project {project_id}", e, context)
@retry_with_backoff(RetryConfig())
async def get_projects(
self,
organization: Optional[str] = None,
limit: int = 100,
offset: int = 0,
context: Optional[ErrorContext] = None
) -> List[Project]:
"""Retrieve multiple projects with pagination."""
if context is None:
context = ErrorContext(
operation_id=f"get_projects_{organization or 'all'}",
operation_type=OperationType.READ,
resource_type="Project",
metadata={
"organization": organization,
"limit": limit,
"offset": offset
}
)
try:
session = await self.connection_manager.get_http_session()
params = {
"limit": limit,
"page": (offset // limit) + 1
}
endpoint = "/api/v1/repos/projects"
if organization:
endpoint = f"/api/v1/orgs/{organization}/projects"
async with session.get(endpoint, params=params) as response:
await self._handle_response_errors(response, context)
data = await response.json()
return [self._map_api_project_to_domain(project_data) for project_data in data]
except aiohttp.ClientError as e:
logger.error(f"Network error getting projects: {e}")
raise NetworkError("get projects", e, context)
@retry_with_backoff(RetryConfig())
async def get_milestones(
self,
project_id: str,
state: Optional[str] = None,
context: Optional[ErrorContext] = None
) -> List[Milestone]:
"""Retrieve milestones for a project."""
if context is None:
context = ErrorContext(
operation_id=f"get_milestones_{project_id}",
operation_type=OperationType.READ,
resource_type="Milestone",
metadata={"project_id": project_id, "state": state}
)
try:
session = await self.connection_manager.get_http_session()
params = {}
if state:
params["state"] = state
# Note: This would need repo info from GiteaIssueRepository, but for now use general endpoint
async with session.get("/api/v1/repos/milestones", params=params) as response:
await self._handle_response_errors(response, context)
data = await response.json()
return [self._map_api_milestone_to_domain(milestone_data) for milestone_data in data]
except aiohttp.ClientError as e:
logger.error(f"Network error getting milestones for project {project_id}: {e}")
raise NetworkError(f"get milestones for project {project_id}", e, context)
@retry_with_backoff(RetryConfig())
async def create_milestone(
self,
project_id: str,
title: str,
description: str,
due_date: Optional[str] = None,
context: Optional[ErrorContext] = None
) -> Milestone:
"""Create a new milestone for a project."""
if context is None:
context = ErrorContext(
operation_id=f"create_milestone_{title[:50]}",
operation_type=OperationType.WRITE,
resource_type="Milestone",
request_data={
"project_id": project_id,
"title": title,
"description": description,
"due_date": due_date
}
)
# Validate input
if not title or not title.strip():
raise ValidationError("title", title, "Milestone title cannot be empty", context)
try:
session = await self.connection_manager.get_http_session()
payload = {
"title": title.strip(),
"description": description or ""
}
if due_date:
payload["due_on"] = due_date
# Note: This would need repo info from GiteaIssueRepository, but for now use general endpoint
async with session.post("/api/v1/repos/milestones", json=payload) as response:
await self._handle_response_errors(response, context)
data = await response.json()
created_milestone = self._map_api_milestone_to_domain(data)
logger.info(f"Created milestone: {title}")
return created_milestone
except aiohttp.ClientError as e:
logger.error(f"Network error creating milestone '{title}': {e}")
raise NetworkError(f"create milestone '{title}'", e, context)
def _map_api_project_to_domain(self, api_data: Dict[str, Any]) -> Project:
"""Map Gitea API project data to domain Project object."""
# For now, create a basic project since Gitea projects API might be limited
created_at = datetime.fromisoformat(api_data.get("created_at", datetime.now(timezone.utc).isoformat()).replace("Z", "+00:00"))
updated_at = datetime.fromisoformat(api_data.get("updated_at", datetime.now(timezone.utc).isoformat()).replace("Z", "+00:00"))
return Project(
id=str(api_data.get("id", 0)),
name=api_data.get("title", api_data.get("name", "Unknown Project")),
description=api_data.get("body", api_data.get("description", "")),
state=ProjectState.ACTIVE, # Default to active
milestones=[], # Will be populated separately
created_at=created_at,
updated_at=updated_at
)
def _map_api_milestone_to_domain(self, api_data: Dict[str, Any]) -> Milestone:
"""Map Gitea API milestone data to domain Milestone object."""
created_at = datetime.fromisoformat(api_data["created_at"].replace("Z", "+00:00"))
updated_at = datetime.fromisoformat(api_data["updated_at"].replace("Z", "+00:00"))
due_date = None
if api_data.get("due_on"):
due_date = datetime.fromisoformat(api_data["due_on"].replace("Z", "+00:00"))
return Milestone(
id=api_data["id"],
title=api_data["title"],
description=api_data.get("description", ""),
state=api_data.get("state", "open"),
open_issues=api_data.get("open_issues", 0),
closed_issues=api_data.get("closed_issues", 0),
due_date=due_date,
created_at=created_at,
updated_at=updated_at
)
async def _handle_response_errors(self, response: aiohttp.ClientResponse, context: ErrorContext):
"""Handle HTTP response errors and convert to appropriate exceptions."""
# Reuse the same error handling logic from GiteaIssueRepository
if response.status == 200 or response.status == 201:
return
response_text = await response.text()
if response.status == 404:
resource_id = context.resource_id or "unknown"
raise ResourceNotFoundError(context.resource_type, resource_id, context)
elif response.status >= 400:
raise GiteaApiError(
response.status,
response_text,
str(response.url),
context
)

View File

@@ -11,7 +11,7 @@ from pathlib import Path
from typing import Optional
# Base version from pyproject.toml
__version__ = "0.2.0"
__version__ = "0.5.0"
def get_git_commit_hash() -> Optional[str]:
"""Get the current git commit hash if available."""

View File

@@ -64,8 +64,10 @@ class AssetManager:
assets_config.get('storage_path', DEFAULT_ASSETS_DIR)
).resolve()
# Default registry path should be relative to storage_path, not cwd
default_registry_path = self.storage_path.parent / DEFAULT_REGISTRY_FILENAME
self.registry_path = Path(
assets_config.get('registry_path', DEFAULT_REGISTRY_FILENAME)
assets_config.get('registry_path', default_registry_path)
).resolve()
self.database_path = Path(

File diff suppressed because it is too large Load Diff

View File

@@ -101,7 +101,7 @@ def detect_execution_mode():
def should_use_associated_files():
"""Determine if commands should use associated files behavior."""
return detect_execution_mode() == 'interactive'
from .document_manager import DocumentManager
# DocumentManager removed - using CleanDocumentManager directly in commands
from .serializer import ASTSerializer
from .cache_service import CacheDirectoryService
from .ast_service import ASTService
@@ -109,8 +109,6 @@ from .schema_generator import SchemaGenerator
from .schema_validator import SchemaValidator
from .exceptions import FileNotFoundError, InvalidDepthError, SchemaValidationError, InvalidSchemaError
# Issue management commands - also available via dedicated 'issue' CLI or 'tddai' CLI
from .issues.commands import issues_group
# Global options for CLI configuration
pass_config = click.make_pass_decorator(dict, ensure=True)
@@ -6184,23 +6182,12 @@ cli.add_command(wishlist_group)
# Register issue management commands
cli.add_command(issues_group)
# Register issue activity tracking commands
from markitect.issues.activity_commands import activity as activity_group
cli.add_command(activity_group)
# Register worktime tracking commands
from markitect.finance.worktime_commands import worktime as worktime_group
cli.add_command(worktime_group)
# Register day wrap-up commands
from markitect.finance.day_wrapup_commands import wrapup as wrapup_group
cli.add_command(wrapup_group)
# Register issue wrap-up commands
from markitect.issues.issue_wrapup_commands import issue_wrapup as issue_wrapup_group
cli.add_command(issue_wrapup_group)
# Query Paradigm Commands - Issue #62

View File

@@ -355,6 +355,7 @@ class DocumentManager:
edit_mode: bool = False, editor_theme: str = 'github', keyboard_shortcuts: bool = True) -> str:
"""Generate HTML template with embedded markdown and client-side rendering."""
import json
from pathlib import Path
# Escape the markdown content for JavaScript
js_markdown_content = json.dumps(markdown_content)
@@ -395,35 +396,267 @@ class DocumentManager:
body_classes = ' class="markitect-edit-mode"'
editor_css = """
<style>
.markitect-floating-header {
/* Floating Control Panel - Slide-in from right */
.markitect-control-panel {
position: fixed;
top: 0;
left: 0;
right: 0;
background: rgba(255, 255, 255, 0.95);
border-bottom: 1px solid #ddd;
padding: 10px;
top: 20px;
right: -320px;
width: 320px;
background: rgba(255, 255, 255, 0.98);
border: 1px solid #e0e0e0;
border-radius: 12px 0 0 12px;
box-shadow: -4px 0 20px rgba(0, 0, 0, 0.15);
z-index: 1000;
backdrop-filter: blur(5px);
backdrop-filter: blur(10px);
transition: right 0.3s cubic-bezier(0.4, 0, 0.2, 1);
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;
}
.markitect-control-panel.expanded {
right: 0;
}
.markitect-control-panel.expanded .markitect-control-ribbon {
opacity: 0;
pointer-events: none;
}
/* Control ribbon - always visible */
.markitect-control-ribbon {
position: absolute;
left: -40px;
top: 0;
width: 40px;
height: 100%;
background: linear-gradient(135deg, #2196f3, #1976d2);
border-radius: 8px 0 0 8px;
cursor: pointer;
display: flex;
align-items: center;
justify-content: center;
color: white;
font-size: 18px;
transition: all 0.3s ease, opacity 0.3s ease;
opacity: 1;
pointer-events: auto;
}
.markitect-control-ribbon:hover {
background: linear-gradient(135deg, #1976d2, #1565c0);
transform: translateX(-2px);
}
/* Panel content */
.markitect-panel-header {
background: linear-gradient(135deg, #2196f3, #1976d2);
color: white;
padding: 16px 20px;
border-radius: 12px 0 0 0;
position: relative;
}
.markitect-panel-title {
font-weight: 600;
font-size: 16px;
margin: 0 0 4px 0;
}
.markitect-panel-version {
font-size: 12px;
opacity: 0.9;
margin: 0;
}
.markitect-panel-close {
position: absolute;
top: 12px;
right: 16px;
background: none;
border: none;
color: white;
cursor: pointer;
font-size: 20px;
padding: 4px;
border-radius: 4px;
transition: background 0.2s;
}
.markitect-panel-close:hover {
background: rgba(255, 255, 255, 0.2);
}
.markitect-panel-body {
padding: 20px;
}
.markitect-status-section {
margin-bottom: 20px;
}
.markitect-status-indicator {
display: flex;
align-items: center;
padding: 12px;
background: #f8f9fa;
border-radius: 8px;
margin-bottom: 12px;
border-left: 4px solid #4caf50;
}
.markitect-status-indicator.loading {
border-left-color: #ff9800;
}
.markitect-status-indicator.error {
border-left-color: #f44336;
background: #ffebee;
}
.markitect-status-icon {
margin-right: 8px;
font-size: 16px;
}
.markitect-status-text {
flex: 1;
font-size: 14px;
margin: 0;
}
.markitect-controls-section {
border-top: 1px solid #e0e0e0;
padding-top: 20px;
}
.markitect-controls-grid {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 10px;
margin-bottom: 16px;
}
.markitect-control-btn {
display: flex;
align-items: center;
justify-content: center;
padding: 12px 16px;
background: #2196f3;
color: white;
border: none;
border-radius: 8px;
cursor: pointer;
font-size: 14px;
font-weight: 500;
transition: all 0.2s;
text-decoration: none;
}
.markitect-control-btn:hover {
background: #1976d2;
transform: translateY(-1px);
}
.markitect-control-btn.secondary {
background: #757575;
}
.markitect-control-btn.secondary:hover {
background: #616161;
}
.markitect-control-btn .icon {
margin-right: 6px;
}
.markitect-save-info {
font-size: 12px;
color: #666;
background: #f5f5f5;
padding: 8px 12px;
border-radius: 6px;
margin-top: 10px;
}
.markitect-error-details {
display: none;
background: #ffebee;
border: 1px solid #f44336;
border-radius: 8px;
padding: 12px;
margin-top: 12px;
}
.markitect-error-title {
font-weight: bold;
color: #c62828;
margin: 0 0 8px 0;
}
.markitect-error-text {
color: #666;
font-size: 14px;
margin: 0 0 8px 0;
}
.markitect-error-help {
font-size: 12px;
color: #666;
}
/* Content editing styles */
.markitect-section-editable {
border: 1px dashed transparent;
padding: 8px;
margin: 4px 0;
border-radius: 4px;
cursor: pointer;
transition: all 0.2s ease;
}
.markitect-section-editable:hover {
border-color: #007acc;
background: rgba(0, 122, 204, 0.05);
}
.markitect-section-editable[data-edited] {
border-color: rgba(76, 175, 80, 0.3);
background: rgba(76, 175, 80, 0.02);
}
.markitect-section-editable[data-edited]:hover {
border-color: #4caf50;
background: rgba(76, 175, 80, 0.08);
}
.edit-mode textarea {
width: 100%;
min-height: 100px;
font-family: monospace;
min-height: 60px;
max-height: 360px;
font-family: 'SF Mono', 'Monaco', 'Cascadia Code', 'Roboto Mono', monospace;
border: 2px solid #007acc;
border-radius: 4px;
padding: 8px;
border-radius: 6px;
padding: 12px;
font-size: inherit; /* Will be overridden by JavaScript */
line-height: inherit; /* Will be overridden by JavaScript */
resize: both; /* Allow both horizontal and vertical resize */
overflow: auto;
box-sizing: border-box;
transition: height 0.15s ease;
min-width: 200px; /* Ensure minimum width */
}
.edit-mode textarea:focus {
outline: none;
border-color: #1976d2;
box-shadow: 0 0 0 3px rgba(25, 118, 210, 0.1);
}
/* Responsive adjustments */
@media (max-width: 768px) {
.markitect-control-panel {
width: 280px;
right: -280px;
}
}
</style>"""
@@ -439,24 +672,25 @@ class DocumentManager:
editor_scripts = """
class MarkitectEditor {
constructor() {
this.hasEdits = false; // Track if any edits have been made
this.initializeEditor();
this.setupKeyboardShortcuts();
}
initializeEditor() {
const header = document.createElement('div');
header.className = 'markitect-floating-header';
header.innerHTML = `
<button onclick="markitectEditor.save()" title="Download edited file with timestamp">💾 Save & Download</button>
<button onclick="markitectEditor.togglePreview()" title="Toggle preview mode">👁️ Preview</button>
<span id="save-status" style="margin-left: 15px; font-size: 0.9em;">Ready</span>
<span style="margin-left: 15px; font-size: 0.8em; color: #666;">
Saves as: filename-edited-YYYY-MM-DD-HH-MM-SS.md
</span>
`;
document.body.insertBefore(header, document.body.firstChild);
// Control panel is already in HTML, just make content editable
this.makeContentEditable();
// Auto-expand control panel briefly to show it's available
setTimeout(() => {
const panel = document.getElementById('markitect-control-panel');
if (panel) {
panel.classList.add('expanded');
setTimeout(() => {
panel.classList.remove('expanded');
}, 2000); // Show for 2 seconds then minimize
}
}, 1000);
}
makeContentEditable() {
@@ -468,10 +702,30 @@ class DocumentManager:
}
markSections(element) {
// Clear existing section markers (except edited ones)
const existingSections = element.querySelectorAll('.markitect-section-editable:not([data-edited])');
existingSections.forEach(section => {
section.classList.remove('markitect-section-editable');
section.removeAttribute('data-section');
});
// Mark new sections (skip elements inside edited wrappers)
const sections = element.querySelectorAll('h1, h2, h3, h4, h5, h6, p, blockquote, pre, ul, ol');
sections.forEach((section, index) => {
let sectionIndex = 0;
sections.forEach((section) => {
// Skip if this element is inside an edited wrapper
if (section.closest('[data-edited]')) {
return;
}
// Skip if already marked as edited wrapper
if (section.hasAttribute('data-edited')) {
return;
}
section.classList.add('markitect-section-editable');
section.setAttribute('data-section', index);
section.setAttribute('data-section', sectionIndex++);
});
}
@@ -488,9 +742,90 @@ class DocumentManager:
textarea.value = this.htmlToMarkdown(originalContent);
textarea.className = 'edit-mode';
// Get original element font size and style
const computedStyle = window.getComputedStyle(section);
const originalFontSize = computedStyle.fontSize;
const originalLineHeight = computedStyle.lineHeight;
// Apply matching font size to textarea
textarea.style.fontSize = originalFontSize;
if (originalLineHeight !== 'normal') {
textarea.style.lineHeight = originalLineHeight;
}
// Auto-sizing function
const autoResize = () => {
// Temporarily disable transition for accurate measurement
const transition = textarea.style.transition;
textarea.style.transition = 'none';
// Reset height to measure scrollHeight
textarea.style.height = 'auto';
// Calculate based on actual content with more reasonable constraints
const contentHeight = textarea.scrollHeight;
const padding = 24; // 12px top + 12px bottom
// More reasonable sizing: min 2 lines, max 15 lines
const lineCount = textarea.value.split('\\n').length;
const minHeight = Math.max(60, lineCount * 24 + padding); // ~24px per line
const maxHeight = 360; // Maximum height constraint
const newHeight = Math.max(60, Math.min(maxHeight, Math.max(minHeight, contentHeight + 4)));
textarea.style.height = newHeight + 'px';
// Re-enable transition
textarea.style.transition = transition;
};
// Auto-resize on input and paste
textarea.addEventListener('input', autoResize);
textarea.addEventListener('paste', () => setTimeout(autoResize, 10));
// Initial sizing after DOM update
setTimeout(autoResize, 20);
textarea.addEventListener('blur', () => {
section.innerHTML = marked.parse(textarea.value);
this.markSections(section.parentElement);
this.hasEdits = true; // Mark that edits have been made
// Check if the content contains paragraph breaks that should create separate sections
const content = textarea.value.trim();
const paragraphs = content.split(/\\n\\s*\\n/).filter(p => p.trim());
if (paragraphs.length > 1) {
// Multiple paragraphs - create separate sections
const parentNode = section.parentNode;
const sectionIndex = section.getAttribute('data-section');
const nextSibling = section.nextSibling; // Remember position
// Remove the original section
parentNode.removeChild(section);
// Create separate sections for each paragraph and insert at correct position
paragraphs.forEach((paragraph, index) => {
const wrapper = document.createElement('div');
wrapper.innerHTML = marked.parse(paragraph.trim());
wrapper.classList.add('markitect-section-editable');
wrapper.setAttribute('data-section', sectionIndex + '_' + index);
wrapper.setAttribute('data-edited', 'true');
// Insert at the correct position (before nextSibling)
parentNode.insertBefore(wrapper, nextSibling);
});
} else {
// Single content block - create one wrapper
const wrapper = document.createElement('div');
wrapper.innerHTML = marked.parse(content);
wrapper.classList.add('markitect-section-editable');
wrapper.setAttribute('data-section', section.getAttribute('data-section'));
wrapper.setAttribute('data-edited', 'true');
// Replace the section with the wrapper
section.parentNode.replaceChild(wrapper, section);
}
// Re-mark sections in the entire document, but skip edited wrappers
this.markSections(document.getElementById('markdown-content'));
});
section.innerHTML = '';
@@ -499,8 +834,76 @@ class DocumentManager:
}
htmlToMarkdown(html) {
// Simple HTML to Markdown conversion
return html.replace(/<[^>]*>/g, '').trim();
// Create a temporary element to parse the HTML
const temp = document.createElement('div');
temp.innerHTML = html;
// Better HTML to Markdown conversion that preserves structure
let markdown = '';
const processNode = (node) => {
if (node.nodeType === Node.TEXT_NODE) {
return node.textContent;
}
if (node.nodeType === Node.ELEMENT_NODE) {
const tagName = node.tagName.toLowerCase();
switch (tagName) {
case 'h1': return '# ' + node.textContent;
case 'h2': return '## ' + node.textContent;
case 'h3': return '### ' + node.textContent;
case 'h4': return '#### ' + node.textContent;
case 'h5': return '##### ' + node.textContent;
case 'h6': return '###### ' + node.textContent;
case 'p':
// Handle paragraphs with potential inline formatting
const childText = Array.from(node.childNodes).map(processNode).join('');
return childText;
case 'strong': case 'b':
return '**' + node.textContent + '**';
case 'em': case 'i':
return '*' + node.textContent + '*';
case 'code':
return '`' + node.textContent + '`';
case 'pre':
// Handle code blocks
const codeContent = node.textContent;
return '```\\n' + codeContent + '\\n```';
case 'blockquote':
const quoteLines = node.textContent.split('\\n');
return quoteLines.map(line => '> ' + line).join('\\n');
case 'ul':
// Handle unordered lists
const ulItems = Array.from(node.querySelectorAll('li'));
return ulItems.map(li => '- ' + li.textContent).join('\\n');
case 'ol':
// Handle ordered lists
const olItems = Array.from(node.querySelectorAll('li'));
return olItems.map((li, index) => (index + 1) + '. ' + li.textContent).join('\\n');
case 'br':
return '\\n';
default:
return node.textContent;
}
}
return '';
};
// Process each child node and add appropriate spacing
const nodes = Array.from(temp.childNodes);
nodes.forEach((node, index) => {
const result = processNode(node);
if (result.trim()) {
if (index > 0 && markdown.trim()) {
markdown += '\\n\\n';
}
markdown += result;
}
});
return markdown.trim();
}
setupKeyboardShortcuts() {
@@ -563,6 +966,11 @@ class DocumentManager:
}
getMarkdownContent() {
// If no edits have been made, return the original markdown content
if (!this.hasEdits) {
return markdownContent;
}
// Reconstruct markdown content from the current state of sections
const content = document.getElementById('markdown-content');
if (!content) {
@@ -574,35 +982,72 @@ class DocumentManager:
const sections = content.querySelectorAll('.markitect-section-editable');
let reconstructed = '';
sections.forEach(section => {
const tagName = section.tagName.toLowerCase();
const text = section.textContent.trim();
sections.forEach(section => {{
// Handle edited wrappers differently
if (section.hasAttribute('data-edited')) {{
// For edited sections, convert the child elements back to markdown
const childElements = section.children;
for (let i = 0; i < childElements.length; i++) {{
const child = childElements[i];
const tagName = child.tagName.toLowerCase();
const text = child.textContent.trim();
if (tagName.startsWith('h')) {
const level = parseInt(tagName.charAt(1));
reconstructed += '#'.repeat(level) + ' ' + text + '\n\n';
} else if (tagName === 'p') {
reconstructed += text + '\n\n';
} else if (tagName === 'blockquote') {
reconstructed += '> ' + text + '\n\n';
} else if (tagName === 'pre') {
reconstructed += '```\n' + text + '\n```\n\n';
} else if (tagName === 'ul') {
const items = section.querySelectorAll('li');
items.forEach(item => {
reconstructed += '- ' + item.textContent.trim() + '\n';
});
reconstructed += '\n';
} else if (tagName === 'ol') {
const items = section.querySelectorAll('li');
items.forEach((item, index) => {
reconstructed += `${index + 1}. ` + item.textContent.trim() + '\n';
});
reconstructed += '\n';
} else {
reconstructed += text + '\n\n';
}
});
if (tagName.startsWith('h')) {{
const level = parseInt(tagName.charAt(1));
reconstructed += '#'.repeat(level) + ' ' + text + '\\n\\n';
}} else if (tagName === 'p') {{
reconstructed += text + '\\n\\n';
}} else if (tagName === 'blockquote') {{
reconstructed += '> ' + text + '\\n\\n';
}} else if (tagName === 'pre') {{
reconstructed += '```\\n' + text + '\\n```\\n\\n';
}} else if (tagName === 'ul') {{
const items = child.querySelectorAll('li');
items.forEach(item => {{
reconstructed += '- ' + item.textContent.trim() + '\\n';
}});
reconstructed += '\\n';
}} else if (tagName === 'ol') {{
const items = child.querySelectorAll('li');
items.forEach((item, index) => {{
reconstructed += (index + 1) + '. ' + item.textContent.trim() + '\\n';
}});
reconstructed += '\\n';
}} else {{
reconstructed += text + '\\n\\n';
}}
}}
}} else {{
// Handle regular sections
const tagName = section.tagName.toLowerCase();
const text = section.textContent.trim();
if (tagName.startsWith('h')) {{
const level = parseInt(tagName.charAt(1));
reconstructed += '#'.repeat(level) + ' ' + text + '\\n\\n';
}} else if (tagName === 'p') {{
reconstructed += text + '\\n\\n';
}} else if (tagName === 'blockquote') {{
reconstructed += '> ' + text + '\\n\\n';
}} else if (tagName === 'pre') {{
reconstructed += '```\\n' + text + '\\n```\\n\\n';
}} else if (tagName === 'ul') {{
const items = section.querySelectorAll('li');
items.forEach(item => {{
reconstructed += '- ' + item.textContent.trim() + '\\n';
}});
reconstructed += '\\n';
}} else if (tagName === 'ol') {{
const items = section.querySelectorAll('li');
items.forEach((item, index) => {{
reconstructed += (index + 1) + '. ' + item.textContent.trim() + '\\n';
}});
reconstructed += '\\n';
}} else {{
reconstructed += text + '\\n\\n';
}}
}}
}});
return reconstructed.trim();
}
@@ -612,26 +1057,155 @@ class DocumentManager:
}
}
let markitectEditor;"""
let markitectEditor;
// Control panel toggle functionality
function toggleControlPanel() {
const panel = document.getElementById('markitect-control-panel');
if (panel) {
panel.classList.toggle('expanded');
}
}
// Auto-close panel when clicking outside
document.addEventListener('click', function(event) {
const panel = document.getElementById('markitect-control-panel');
if (panel && panel.classList.contains('expanded')) {
if (!panel.contains(event.target)) {
panel.classList.remove('expanded');
}
}
});"""
# Edit mode status and error reporting section
edit_mode_html = ""
if edit_mode:
# Get version info for header
try:
import markitect
from pathlib import Path
import subprocess
# Get base version
version = "0.3.0" # fallback
try:
from importlib.metadata import version as get_version
version = get_version('markitect')
except:
pass
# Get git commit with timestamp and local changes info
git_info = ""
try:
repo_path = Path(__file__).parent.parent
# Get commit hash and timestamp
result = subprocess.run(['git', 'rev-parse', '--short', 'HEAD'],
capture_output=True, text=True, cwd=repo_path)
if result.returncode == 0:
commit_hash = result.stdout.strip()
# Get commit timestamp
timestamp_result = subprocess.run(['git', 'show', '-s', '--format=%ci', 'HEAD'],
capture_output=True, text=True, cwd=repo_path)
commit_time = ""
if timestamp_result.returncode == 0:
from datetime import datetime
# Parse git timestamp and format it nicely
git_time = timestamp_result.stdout.strip()
try:
dt = datetime.fromisoformat(git_time.replace(' +', '+'))
commit_time = f" ({dt.strftime('%Y-%m-%d %H:%M')})"
except:
pass
git_info = f"+{commit_hash}{commit_time}"
# Check for uncommitted changes
status_result = subprocess.run(['git', 'status', '--porcelain'],
capture_output=True, text=True, cwd=repo_path)
if status_result.returncode == 0 and status_result.stdout.strip():
# Get timestamp of most recent uncommitted change
import os
import glob
latest_change = 0
for line in status_result.stdout.strip().split('\n'):
if line.strip():
# Extract filename (skip first 3 chars which are status indicators)
filename = line[3:].strip()
try:
file_path = repo_path / filename
if file_path.exists():
mtime = os.path.getmtime(file_path)
latest_change = max(latest_change, mtime)
except:
pass
if latest_change > 0:
change_dt = datetime.fromtimestamp(latest_change)
git_info += f" including local changes until {change_dt.strftime('%Y-%m-%d %H:%M')}"
except:
pass
version_info = f"{version}{git_info}"
except:
version_info = "0.3.0"
edit_mode_html = f"""
<div id="markitect-status" style="background: #e3f2fd; border-left: 4px solid #2196f3; padding: 12px; margin-bottom: 20px; font-family: monospace; font-size: 14px;">
<div style="font-weight: bold; color: #1976d2;">📝 Markitect Edit Mode</div>
<div id="status-message" style="margin-top: 8px;">Loading edit capabilities...</div>
<div id="error-details" style="display: none; background: #ffebee; border: 1px solid #f44336; padding: 8px; margin-top: 8px; border-radius: 4px;">
<div style="font-weight: bold; color: #c62828;">❌ Edit Mode Failed</div>
<div id="error-text" style="margin-top: 4px; color: #666;"></div>
<details style="margin-top: 8px;">
<summary style="cursor: pointer; color: #1976d2;">🐛 Help us fix this issue</summary>
<div style="margin-top: 8px; font-size: 12px; color: #666;">
Please report this error with your browser info:
<br>📋 Browser: <span id="browser-info"></span>
<br>🔗 Create issue: <a href="https://github.com/anthropics/markitect/issues/new" target="_blank" style="color: #1976d2;">GitHub Issues</a>
<!-- Floating Control Panel -->
<div id="markitect-control-panel" class="markitect-control-panel">
<!-- Control Ribbon - Always Visible -->
<div class="markitect-control-ribbon" onclick="toggleControlPanel()" title="MarkiTect Editor Controls">
📝
</div>
<!-- Panel Header -->
<div class="markitect-panel-header">
<h3 class="markitect-panel-title">📝 MarkiTect Editor</h3>
<p class="markitect-panel-version">v{version_info}</p>
<button class="markitect-panel-close" onclick="toggleControlPanel()" title="Close panel">×</button>
</div>
<!-- Panel Body -->
<div class="markitect-panel-body">
<!-- Status Section -->
<div class="markitect-status-section">
<div id="status-indicator" class="markitect-status-indicator loading">
<span class="markitect-status-icon">⏳</span>
<div class="markitect-status-text" id="status-message">Loading edit capabilities...</div>
</div>
</details>
<!-- Error Details (hidden by default) -->
<div id="error-details" class="markitect-error-details">
<div class="markitect-error-title">❌ Edit Mode Failed</div>
<div class="markitect-error-text" id="error-text"></div>
<div class="markitect-error-help">
📋 Browser: <span id="browser-info"></span><br>
🔗 <a href="https://github.com/anthropics/markitect/issues/new" target="_blank" style="color: #1976d2;">Report Issue</a>
</div>
</div>
</div>
<!-- Controls Section -->
<div class="markitect-controls-section">
<div class="markitect-controls-grid">
<button class="markitect-control-btn" onclick="markitectEditor.save()" title="Download edited content">
<span class="icon">💾</span>
Save & Download
</button>
<button class="markitect-control-btn secondary" onclick="markitectEditor.togglePreview()" title="Toggle preview mode">
<span class="icon">👁️</span>
Preview
</button>
</div>
<div class="markitect-save-info">
<div id="save-status">Ready to save</div>
<div style="margin-top: 4px; opacity: 0.8;">Saves as: filename-edited-YYYY-MM-DD-HH-MM-SS.md</div>
</div>
</div>
</div>
</div>"""
@@ -659,26 +1233,80 @@ class DocumentManager:
// Define editor class first (if in edit mode)
{editor_scripts if edit_mode else ''}
// Error reporting utility
function reportEditModeError(errorMsg, technicalDetails) {{
// Enhanced error reporting utility
function reportEditModeError(errorMsg, technicalDetails, errorType = 'error') {{
const statusDiv = document.getElementById('markitect-status');
const errorDiv = document.getElementById('error-details');
const errorText = document.getElementById('error-text');
const statusMsg = document.getElementById('status-message');
const browserInfo = document.getElementById('browser-info');
if (statusMsg) statusMsg.textContent = 'Edit mode unavailable - content displayed in read-only mode';
// Log to console for debugging
console.error('[MarkiTect Edit Mode Error]', errorMsg, technicalDetails);
// Create error report object
const errorReport = {{
timestamp: new Date().toISOString(),
error: errorMsg,
details: technicalDetails,
type: errorType,
userAgent: navigator.userAgent,
url: window.location.href,
markdownContent: typeof markdownContent !== 'undefined' ? markdownContent.length + ' chars' : 'unavailable'
}};
// Store error for potential reporting
if (!window.markitectErrors) window.markitectErrors = [];
window.markitectErrors.push(errorReport);
// Update UI
if (statusMsg) {{
const statusText = errorType === 'warning'
? 'Edit mode partially available - some features may not work'
: 'Edit mode unavailable - content displayed in read-only mode';
statusMsg.textContent = statusText;
}}
if (errorDiv) errorDiv.style.display = 'block';
if (errorText) errorText.textContent = errorMsg + (technicalDetails ? ' (' + technicalDetails + ')' : '');
if (errorText) {{
const fullError = errorMsg + (technicalDetails ? ' (' + technicalDetails + ')' : '');
errorText.textContent = fullError;
}}
if (browserInfo) browserInfo.textContent = navigator.userAgent.split(' ').slice(-2).join(' ');
// Auto-hide warnings after 10 seconds
if (errorType === 'warning' && errorDiv) {{
setTimeout(() => {{
errorDiv.style.display = 'none';
}}, 10000);
}}
}}
// Status update utility
function updateStatus(message, isError = false) {{
const statusMsg = document.getElementById('status-message');
const statusIndicator = document.getElementById('status-indicator');
const statusIcon = document.querySelector('.markitect-status-icon');
if (statusMsg) {{
statusMsg.textContent = message;
statusMsg.style.color = isError ? '#c62828' : '#1976d2';
}}
if (statusIndicator) {{
// Remove all status classes
statusIndicator.classList.remove('loading', 'error');
if (isError) {{
statusIndicator.classList.add('error');
if (statusIcon) statusIcon.textContent = '';
}} else if (message.includes('Loading') || message.includes('Initializing')) {{
statusIndicator.classList.add('loading');
if (statusIcon) statusIcon.textContent = '';
}} else {{
// Success state
if (statusIcon) statusIcon.textContent = '';
}}
}}
}}

View File

@@ -1,566 +0,0 @@
"""
Cost Allocation Engine for MarkiTect Issue Cost Distribution.
This module implements the core allocation engine that distributes operational
costs across active issues using the defined algorithm from Issue #88.
The engine handles:
- Equal distribution of costs across active issues in a period
- Loss carried forward when no active issues exist
- Transaction audit trail creation
- Edge case handling and validation
- Integration with period management and activity tracking
"""
import sqlite3
from datetime import date, datetime
from decimal import Decimal
from typing import List, Dict, Any, Optional, Tuple
from dataclasses import dataclass
from enum import Enum
from .models import FinanceModels
from .cost_manager import CostItemManager
from .period_manager import PeriodManager, Period, PeriodStatus
from ..issues.activity_tracker import IssueActivityTracker, ActivityType
class AllocationStatus(Enum):
"""Status enumeration for allocation operations."""
SUCCESS = "success"
NO_ACTIVE_ISSUES = "no_active_issues"
NO_COSTS_TO_ALLOCATE = "no_costs_to_allocate"
PERIOD_CLOSED = "period_closed"
ERROR = "error"
@dataclass
class AllocationResult:
"""Result of a cost allocation operation."""
status: AllocationStatus
period_id: int
total_costs: Decimal = Decimal('0.00')
active_issues: List[int] = None
cost_per_issue: Decimal = Decimal('0.00')
allocations_created: int = 0
transactions_created: int = 0
loss_carried_forward: Decimal = Decimal('0.00')
message: str = ""
def __post_init__(self):
if self.active_issues is None:
self.active_issues = []
@dataclass
class IssueAllocation:
"""Represents a cost allocation to a specific issue."""
issue_id: int
allocated_amount: Decimal
allocation_date: date
period_id: int
transaction_id: Optional[int] = None
class TransactionManager:
"""Manages cost transaction audit trails for allocations."""
def __init__(self, db_path: str):
"""
Initialize transaction manager.
Args:
db_path: Path to the SQLite database
"""
self.db_path = db_path
self.finance_models = FinanceModels(db_path)
def create_allocation_transaction(
self,
period_id: int,
amount: Decimal,
issue_id: int,
transaction_date: date,
description: str
) -> int:
"""
Create a cost allocation transaction record.
Args:
period_id: ID of the cost period
amount: Amount allocated to the issue
issue_id: ID of the issue receiving allocation
transaction_date: Date of the transaction
description: Description of the allocation
Returns:
ID of the created transaction
"""
with self.finance_models.get_connection() as conn:
cursor = conn.cursor()
cursor.execute('''
INSERT INTO cost_transactions
(period_id, transaction_type, amount_eur, issue_id,
transaction_date, description)
VALUES (?, 'cost_allocated', ?, ?, ?, ?)
''', (period_id, float(amount), issue_id, transaction_date.isoformat() if hasattr(transaction_date, 'isoformat') else transaction_date, description))
return cursor.lastrowid
def create_loss_forward_transaction(
self,
from_period_id: int,
to_period_id: int,
amount: Decimal,
transaction_date: date,
description: str
) -> int:
"""
Create a loss carried forward transaction.
Args:
from_period_id: Source period ID
to_period_id: Destination period ID
amount: Amount being carried forward
transaction_date: Date of the transaction
description: Description of the carry forward
Returns:
ID of the created transaction
"""
with self.finance_models.get_connection() as conn:
cursor = conn.cursor()
cursor.execute('''
INSERT INTO cost_transactions
(period_id, transaction_type, amount_eur, transaction_date, description)
VALUES (?, 'loss_forward', ?, ?, ?)
''', (to_period_id, float(amount), transaction_date.isoformat() if hasattr(transaction_date, 'isoformat') else transaction_date, description))
return cursor.lastrowid
class AllocationEngine:
"""
Core cost allocation engine for distributing operational costs to active issues.
Implements the algorithm defined in Issue #88:
1. Calculate total costs for the period (monthly + one-time + carried forward)
2. Identify active issues (created/modified during period)
3. Distribute costs equally among active issues
4. Handle edge cases (no active issues -> carry forward loss)
5. Create audit trail transactions
6. Update period statistics
"""
def __init__(self, db_path: str = "markitect.db"):
"""
Initialize the allocation engine.
Args:
db_path: Path to the SQLite database
"""
self.db_path = db_path
self.finance_models = FinanceModels(db_path)
self.cost_manager = CostItemManager(db_path)
self.period_manager = PeriodManager(db_path)
self.activity_tracker = IssueActivityTracker(db_path)
self.transaction_manager = TransactionManager(db_path)
# Ensure database schema is initialized
self.finance_models.initialize_finance_schema()
def allocate_period_costs(self, period_id: int) -> AllocationResult:
"""
Allocate costs for a specific period to active issues.
Args:
period_id: ID of the period to process
Returns:
AllocationResult with operation details and status
"""
try:
# Get period details
period = self._get_period(period_id)
if not period:
return AllocationResult(
status=AllocationStatus.ERROR,
period_id=period_id,
message=f"Period {period_id} not found"
)
# Check if period is already closed
if period.status == PeriodStatus.CLOSED.value:
return AllocationResult(
status=AllocationStatus.PERIOD_CLOSED,
period_id=period_id,
message=f"Period {period_id} is already closed"
)
# Set period status to calculating
self._update_period_status(period_id, PeriodStatus.CALCULATING)
# Step 1: Calculate total costs for period
total_costs = self._calculate_period_total_costs(period)
if total_costs == Decimal('0.00'):
self._update_period_status(period_id, PeriodStatus.CLOSED)
return AllocationResult(
status=AllocationStatus.NO_COSTS_TO_ALLOCATE,
period_id=period_id,
total_costs=total_costs,
message="No costs to allocate for this period"
)
# Step 2: Identify active issues for the period
active_issues = self._get_active_issues_for_period(period)
if not active_issues:
# No active issues - carry forward loss to next period
next_period_id = self._get_or_create_next_period(period)
if next_period_id:
self._carry_forward_loss(period_id, next_period_id, total_costs)
# Update period and close
self._update_period_totals(period_id, total_costs, 0, Decimal('0.00'), total_costs)
self._update_period_status(period_id, PeriodStatus.CLOSED)
return AllocationResult(
status=AllocationStatus.NO_ACTIVE_ISSUES,
period_id=period_id,
total_costs=total_costs,
active_issues=[],
loss_carried_forward=total_costs,
message=f"No active issues found. Carried forward €{total_costs:.2f} to next period"
)
# Step 3: Calculate cost per issue (equal distribution)
cost_per_issue = total_costs / len(active_issues)
# Step 4: Create allocations and transactions
allocations_created = 0
transactions_created = 0
allocation_date = date.today()
for issue_id in active_issues:
# Create allocation record
allocation_id = self._create_issue_allocation(
issue_id, period_id, cost_per_issue, allocation_date
)
if allocation_id:
allocations_created += 1
# Create audit transaction
transaction_id = self.transaction_manager.create_allocation_transaction(
period_id=period_id,
amount=cost_per_issue,
issue_id=issue_id,
transaction_date=allocation_date,
description=f"Cost allocation for period {period.period_start} to {period.period_end}"
)
if transaction_id:
transactions_created += 1
# Link transaction to allocation
self._update_allocation_transaction_id(allocation_id, transaction_id)
# Step 5: Update period totals
self._update_period_totals(
period_id, total_costs, len(active_issues), cost_per_issue, Decimal('0.00')
)
# Step 6: Close the period
self._update_period_status(period_id, PeriodStatus.CLOSED)
return AllocationResult(
status=AllocationStatus.SUCCESS,
period_id=period_id,
total_costs=total_costs,
active_issues=active_issues,
cost_per_issue=cost_per_issue,
allocations_created=allocations_created,
transactions_created=transactions_created,
message=f"Successfully allocated €{total_costs:.2f} across {len(active_issues)} issues"
)
except Exception as e:
# Reset period status on error
self._update_period_status(period_id, PeriodStatus.OPEN)
return AllocationResult(
status=AllocationStatus.ERROR,
period_id=period_id,
message=f"Allocation failed: {str(e)}"
)
def get_issue_allocations(self, issue_id: int) -> List[Dict[str, Any]]:
"""
Get all cost allocations for a specific issue.
Args:
issue_id: ID of the issue
Returns:
List of allocation records
"""
with self.finance_models.get_connection() as conn:
cursor = conn.cursor()
cursor.execute('''
SELECT
ica.id,
ica.issue_id,
ica.period_id,
ica.allocated_amount,
ica.allocation_date,
ica.transaction_id,
cp.period_start,
cp.period_end,
cp.period_type
FROM issue_cost_allocations ica
JOIN cost_periods cp ON ica.period_id = cp.id
WHERE ica.issue_id = ?
ORDER BY ica.allocation_date DESC
''', (issue_id,))
rows = cursor.fetchall()
allocations = []
for row in rows:
allocation = {
'id': row[0],
'issue_id': row[1],
'period_id': row[2],
'allocated_amount': float(row[3]),
'allocation_date': row[4],
'transaction_id': row[5],
'period_start': row[6],
'period_end': row[7],
'period_type': row[8]
}
allocations.append(allocation)
return allocations
def get_period_allocations(self, period_id: int) -> List[Dict[str, Any]]:
"""
Get all allocations for a specific period.
Args:
period_id: ID of the period
Returns:
List of allocation records
"""
with self.finance_models.get_connection() as conn:
cursor = conn.cursor()
cursor.execute('''
SELECT
ica.id,
ica.issue_id,
ica.allocated_amount,
ica.allocation_date,
ica.transaction_id
FROM issue_cost_allocations ica
WHERE ica.period_id = ?
ORDER BY ica.issue_id
''', (period_id,))
rows = cursor.fetchall()
allocations = []
for row in rows:
allocation = {
'id': row[0],
'issue_id': row[1],
'allocated_amount': float(row[2]),
'allocation_date': row[3],
'transaction_id': row[4]
}
allocations.append(allocation)
return allocations
def reverse_allocation(self, allocation_id: int) -> bool:
"""
Reverse a cost allocation (for corrections).
Args:
allocation_id: ID of the allocation to reverse
Returns:
True if successful, False otherwise
"""
try:
with self.finance_models.get_connection() as conn:
cursor = conn.cursor()
# Get allocation details
cursor.execute('''
SELECT issue_id, period_id, allocated_amount, transaction_id
FROM issue_cost_allocations
WHERE id = ?
''', (allocation_id,))
result = cursor.fetchone()
if not result:
return False
issue_id, period_id, amount, transaction_id = result
# Create reversal transaction using adjustment type (allows negative amounts)
with self.finance_models.get_connection() as conn2:
cursor2 = conn2.cursor()
cursor2.execute('''
INSERT INTO cost_transactions
(period_id, transaction_type, amount_eur, issue_id,
transaction_date, description)
VALUES (?, 'adjustment', ?, ?, ?, ?)
''', (period_id, float(-amount), issue_id, date.today().isoformat(), f"Reversal of allocation #{allocation_id}"))
reversal_transaction_id = cursor2.lastrowid
# Only delete if reversal transaction was created successfully
if reversal_transaction_id:
cursor.execute('DELETE FROM issue_cost_allocations WHERE id = ?', (allocation_id,))
return cursor.rowcount > 0
else:
return False
except Exception as e:
# Log the exception for debugging in tests
print(f"Reversal failed with exception: {e}")
return False
def _get_period(self, period_id: int) -> Optional[Period]:
"""Get period details by ID."""
period_data = self.period_manager.get_period_by_id(period_id)
if not period_data:
return None
# Convert dict to Period object
return Period(
id=period_data['id'],
period_start=datetime.strptime(period_data['period_start'], '%Y-%m-%d').date() if period_data['period_start'] else None,
period_end=datetime.strptime(period_data['period_end'], '%Y-%m-%d').date() if period_data['period_end'] else None,
period_type=period_data['period_type'],
status=period_data['status'],
total_costs=Decimal(str(period_data['total_costs'])),
active_issues_count=period_data['active_issues_count'],
cost_per_issue=Decimal(str(period_data['cost_per_issue'])),
loss_carried_forward=Decimal(str(period_data['loss_carried_forward'] or 0))
)
def _update_period_status(self, period_id: int, status: PeriodStatus):
"""Update period status."""
with self.finance_models.get_connection() as conn:
cursor = conn.cursor()
cursor.execute(
'UPDATE cost_periods SET status = ?, updated_at = CURRENT_TIMESTAMP WHERE id = ?',
(status.value, period_id)
)
def _calculate_period_total_costs(self, period: Period) -> Decimal:
"""Calculate total costs for a period including carried forward amounts."""
calculations = self.cost_manager.calculate_period_costs(
period.period_start, period.period_end
)
period_costs = calculations['total_period']
carried_forward = period.loss_carried_forward or Decimal('0.00')
return Decimal(str(period_costs)) + carried_forward
def _get_active_issues_for_period(self, period: Period) -> List[int]:
"""Get list of active issue IDs for a period."""
activities = self.activity_tracker.get_activities_by_period(
period.id,
activity_types=[
ActivityType.CREATED,
ActivityType.MODIFIED,
ActivityType.COMMENTED,
ActivityType.STATUS_CHANGED
]
)
# Get unique issue IDs
active_issues = list(set(activity.issue_id for activity in activities))
return active_issues
def _get_or_create_next_period(self, current_period: Period) -> Optional[int]:
"""Get or create the next period for loss carry forward."""
# For now, return None - next period creation will be handled separately
# This is a placeholder for future automatic period creation
return None
def _carry_forward_loss(self, from_period_id: int, to_period_id: int, amount: Decimal):
"""Carry forward loss to next period."""
# Update the destination period's carried forward amount
with self.finance_models.get_connection() as conn:
cursor = conn.cursor()
cursor.execute('''
UPDATE cost_periods
SET loss_carried_forward = loss_carried_forward + ?
WHERE id = ?
''', (float(amount), to_period_id))
# Create audit transaction
self.transaction_manager.create_loss_forward_transaction(
from_period_id=from_period_id,
to_period_id=to_period_id,
amount=amount,
transaction_date=date.today(),
description=f"Loss carried forward from period {from_period_id}"
)
def _create_issue_allocation(
self, issue_id: int, period_id: int, amount: Decimal, allocation_date: date
) -> Optional[int]:
"""Create an issue cost allocation record."""
try:
with self.finance_models.get_connection() as conn:
cursor = conn.cursor()
cursor.execute('''
INSERT INTO issue_cost_allocations
(issue_id, period_id, allocated_amount, allocation_date)
VALUES (?, ?, ?, ?)
''', (issue_id, period_id, float(amount), allocation_date.isoformat() if hasattr(allocation_date, 'isoformat') else allocation_date))
return cursor.lastrowid
except sqlite3.IntegrityError:
# Allocation already exists for this issue/period
return None
def _update_allocation_transaction_id(self, allocation_id: int, transaction_id: int):
"""Link allocation to its audit transaction."""
with self.finance_models.get_connection() as conn:
cursor = conn.cursor()
cursor.execute('''
UPDATE issue_cost_allocations
SET transaction_id = ?
WHERE id = ?
''', (transaction_id, allocation_id))
def _update_period_totals(
self,
period_id: int,
total_costs: Decimal,
active_issues_count: int,
cost_per_issue: Decimal,
loss_carried_forward: Decimal
):
"""Update period summary statistics."""
with self.finance_models.get_connection() as conn:
cursor = conn.cursor()
cursor.execute('''
UPDATE cost_periods
SET total_costs = ?,
active_issues_count = ?,
cost_per_issue = ?,
loss_carried_forward = ?,
updated_at = CURRENT_TIMESTAMP
WHERE id = ?
''', (float(total_costs), active_issues_count, float(cost_per_issue), float(loss_carried_forward), period_id))

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@@ -1,507 +0,0 @@
"""
Single Command Day Wrap-Up functionality.
This module provides a comprehensive end-of-day command that consolidates
daily work summaries, activity tracking, cost distribution, and reporting
into a single convenient command.
"""
import click
from datetime import datetime, date, timedelta
from typing import Optional, Dict, Any, List
from decimal import Decimal
from tabulate import tabulate
import json
from .worktime_tracker import WorktimeTracker
from ..issues.activity_tracker import IssueActivityTracker
from .session_tracker import SessionCostTracker
class DayWrapUpService:
"""Service for comprehensive day wrap-up functionality."""
def __init__(self, db_path: str = "markitect.db"):
"""Initialize the day wrap-up service."""
self.db_path = db_path
self.worktime_tracker = WorktimeTracker(db_path)
self.activity_tracker = IssueActivityTracker(db_path)
self.session_tracker = SessionCostTracker(db_path)
def generate_daily_summary(self, target_date: date) -> Dict[str, Any]:
"""
Generate comprehensive daily summary.
Args:
target_date: Date to generate summary for
Returns:
Dictionary containing complete daily summary
"""
summary = {
'date': target_date,
'worktime': self._get_worktime_summary(target_date),
'activities': self._get_activity_summary(target_date),
'costs': self._get_cost_summary(target_date),
'recommendations': []
}
# Add recommendations based on data
summary['recommendations'] = self._generate_recommendations(summary)
return summary
def _get_worktime_summary(self, target_date: date) -> Dict[str, Any]:
"""Get worktime summary for the date."""
daily_summary = self.worktime_tracker.get_daily_summary(target_date)
if not daily_summary:
return {
'total_minutes': 0,
'total_hours': 0.0,
'issues_worked': 0,
'entries': [],
'cost_allocated': None,
'cost_per_minute': None
}
# Get issue breakdown
issue_breakdown = {}
for entry in daily_summary.entries:
if entry.issue_id not in issue_breakdown:
issue_breakdown[entry.issue_id] = {
'minutes': 0,
'entries': 0,
'descriptions': []
}
issue_breakdown[entry.issue_id]['minutes'] += entry.duration_minutes
issue_breakdown[entry.issue_id]['entries'] += 1
if entry.description:
issue_breakdown[entry.issue_id]['descriptions'].append(entry.description)
return {
'total_minutes': daily_summary.total_minutes,
'total_hours': daily_summary.total_minutes / 60,
'issues_worked': daily_summary.issue_count,
'entries': len(daily_summary.entries),
'issue_breakdown': issue_breakdown,
'cost_allocated': float(daily_summary.total_cost_allocated) if daily_summary.total_cost_allocated else None,
'cost_per_minute': float(daily_summary.cost_per_minute) if daily_summary.cost_per_minute else None
}
def _get_activity_summary(self, target_date: date) -> Dict[str, Any]:
"""Get activity summary for the date."""
summary = self.activity_tracker.get_activity_summary(
start_date=target_date,
end_date=target_date
)
# Get detailed activities for the day
activities = []
if summary['total_activities'] > 0:
# Get activities by checking each issue that had activity
with self.activity_tracker.finance_models.get_connection() as conn:
cursor = conn.cursor()
cursor.execute('''
SELECT issue_id, activity_type, activity_details, created_at
FROM issue_activity_log
WHERE activity_date = ?
ORDER BY created_at DESC
''', (target_date.isoformat() if hasattr(target_date, 'isoformat') else target_date,))
for row in cursor.fetchall():
activities.append({
'issue_id': row[0],
'activity_type': row[1],
'details': row[2],
'created_at': row[3]
})
return {
'total_activities': summary['total_activities'],
'unique_issues': summary['unique_issues'],
'activities_by_type': summary['activities_by_type'],
'activities': activities
}
def _get_cost_summary(self, target_date: date) -> Dict[str, Any]:
"""Get cost summary for the date."""
# Get session costs from cost notes for the day
cost_summary = self.session_tracker.get_issue_costs_summary()
# Filter for today's costs (this is approximate - would need better filtering in real implementation)
daily_costs = 0.0
issue_costs = {}
# Get worktime cost distribution if available
with self.worktime_tracker.finance_models.get_connection() as conn:
cursor = conn.cursor()
cursor.execute('''
SELECT issue_id, cost_allocated
FROM worktime_cost_distributions
WHERE work_date = ?
''', (target_date.isoformat() if hasattr(target_date, 'isoformat') else target_date,))
for row in cursor.fetchall():
issue_id, cost = row
issue_costs[issue_id] = cost
daily_costs += cost
return {
'daily_total': daily_costs,
'issue_costs': issue_costs,
'has_cost_allocation': len(issue_costs) > 0
}
def _generate_recommendations(self, summary: Dict[str, Any]) -> List[str]:
"""Generate recommendations based on daily summary."""
recommendations = []
# Worktime recommendations
worktime = summary['worktime']
if worktime['total_minutes'] == 0:
recommendations.append("⚠️ No worktime logged for today. Consider logging time spent on issues.")
elif worktime['total_hours'] < 4:
recommendations.append("⏰ Low worktime logged today. Is this accurate or should more time be added?")
elif worktime['total_hours'] > 10:
recommendations.append("🔥 High worktime logged today. Make sure to take breaks!")
# Activity recommendations
activities = summary['activities']
if activities['total_activities'] == 0:
recommendations.append("📝 No issue activities logged today. Consider what issues you worked on.")
elif activities['unique_issues'] > 5:
recommendations.append("🤹 Many issues worked on today. Consider focusing on fewer issues for better productivity.")
# Cost recommendations
costs = summary['costs']
if worktime['total_minutes'] > 0 and not costs['has_cost_allocation']:
recommendations.append("💰 Time logged but no costs distributed. Run cost distribution to allocate daily expenses.")
return recommendations
def perform_auto_estimation(self, target_date: date, total_hours: float = 8.0) -> Dict[str, Any]:
"""
Perform automatic worktime estimation if no time is logged.
Args:
target_date: Date to estimate for
total_hours: Total hours to distribute
Returns:
Estimation results
"""
# Check if any time is already logged
summary = self.worktime_tracker.get_daily_summary(target_date)
if summary and summary.total_minutes > 0:
return {
'estimated': False,
'reason': 'Time already logged for this date',
'existing_minutes': summary.total_minutes
}
# Get active issues for the day from activity log
with self.activity_tracker.finance_models.get_connection() as conn:
cursor = conn.cursor()
cursor.execute('''
SELECT DISTINCT issue_id
FROM issue_activity_log
WHERE activity_date = ?
''', (target_date.isoformat() if hasattr(target_date, 'isoformat') else target_date,))
active_issues = [row[0] for row in cursor.fetchall()]
if not active_issues:
return {
'estimated': False,
'reason': 'No active issues found for this date',
'active_issues': []
}
# Perform estimation
estimation_result = self.worktime_tracker.estimate_daily_worktime(
work_date=target_date,
total_hours=total_hours,
issues=active_issues,
distribution_method="activity_based"
)
return {
'estimated': True,
'estimation_result': estimation_result
}
def distribute_daily_costs(self, target_date: date, daily_cost: Decimal) -> Dict[str, Any]:
"""
Distribute daily costs based on worktime allocation.
Args:
target_date: Date to distribute costs for
daily_cost: Total daily cost to distribute
Returns:
Distribution results
"""
return self.worktime_tracker.distribute_daily_costs(
work_date=target_date,
total_daily_cost=daily_cost
)
@click.group()
def wrapup():
"""Day wrap-up commands for end-of-day summaries and automation."""
pass
@wrapup.command()
@click.argument('date', type=click.DateTime(formats=['%Y-%m-%d']), required=False)
@click.option('--auto-estimate', is_flag=True,
help='Automatically estimate worktime if none logged')
@click.option('--estimate-hours', type=float, default=8.0,
help='Hours to estimate (used with --auto-estimate)')
@click.option('--distribute-cost', type=float,
help='Daily cost to distribute (€)')
@click.option('--format', 'output_format', type=click.Choice(['summary', 'detailed', 'json']),
default='summary', help='Output format')
def daily(date: Optional[datetime], auto_estimate: bool, estimate_hours: float,
distribute_cost: Optional[float], output_format: str):
"""Generate comprehensive daily wrap-up summary.
If no date is provided, uses today's date.
"""
from datetime import date as date_module
target_date = date.date() if date else date_module.today()
service = DayWrapUpService()
try:
# Auto-estimate worktime if requested
if auto_estimate:
click.echo(f"🤖 Auto-estimating worktime for {target_date}...")
estimation = service.perform_auto_estimation(target_date, estimate_hours)
if estimation['estimated']:
result = estimation['estimation_result']
click.echo(f"✅ Estimated {estimate_hours}h across {result['issues_count']} issues")
else:
click.echo(f" {estimation['reason']}")
# Distribute costs if requested
if distribute_cost:
click.echo(f"💰 Distributing €{distribute_cost:.2f} for {target_date}...")
distribution = service.distribute_daily_costs(target_date, Decimal(str(distribute_cost)))
if 'message' in distribution:
click.echo(f"⚠️ {distribution['message']}")
else:
click.echo(f"✅ Distributed €{distribute_cost:.2f} across {distribution['issues_count']} issues")
# Generate summary
summary = service.generate_daily_summary(target_date)
if output_format == 'json':
# Convert date to string for JSON serialization
summary['date'] = summary['date'].isoformat()
click.echo(json.dumps(summary, indent=2))
return
# Display summary
_display_daily_summary(summary, output_format)
except Exception as e:
click.echo(f"❌ Error generating daily wrap-up: {e}", err=True)
raise click.Abort()
@wrapup.command()
@click.argument('start_date', type=click.DateTime(formats=['%Y-%m-%d']))
@click.argument('end_date', type=click.DateTime(formats=['%Y-%m-%d']))
@click.option('--format', 'output_format', type=click.Choice(['summary', 'json']),
default='summary', help='Output format')
def period(start_date: datetime, end_date: datetime, output_format: str):
"""Generate wrap-up summary for a date range."""
service = DayWrapUpService()
try:
# Get worktime report for period
worktime_report = service.worktime_tracker.get_worktime_report(
start_date=start_date.date(),
end_date=end_date.date()
)
# Get activity summary for period
activity_summary = service.activity_tracker.get_activity_summary(
start_date=start_date.date(),
end_date=end_date.date()
)
period_summary = {
'period': f"{start_date.date()} to {end_date.date()}",
'worktime': worktime_report,
'activities': activity_summary
}
if output_format == 'json':
click.echo(json.dumps(period_summary, indent=2))
else:
_display_period_summary(period_summary)
except Exception as e:
click.echo(f"❌ Error generating period wrap-up: {e}", err=True)
raise click.Abort()
@wrapup.command()
@click.argument('date', type=click.DateTime(formats=['%Y-%m-%d']), required=False)
@click.option('--hours', type=float, default=8.0, help='Total hours worked')
@click.option('--method', type=click.Choice(['equal', 'activity_based']),
default='activity_based', help='Estimation method')
def estimate(date: Optional[datetime], hours: float, method: str):
"""Estimate and log worktime for a day based on issue activities."""
from datetime import date as date_module
target_date = date.date() if date else date_module.today()
service = DayWrapUpService()
try:
estimation = service.perform_auto_estimation(target_date, hours)
if not estimation['estimated']:
click.echo(f"⚠️ {estimation['reason']}")
return
result = estimation['estimation_result']
click.echo(f"✅ Estimated worktime for {target_date}")
click.echo(f"Total Hours: {hours}h")
click.echo(f"Distribution Method: {method}")
click.echo(f"Issues: {result['issues_count']}")
# Show breakdown
headers = ['Issue', 'Time', 'Percentage']
rows = []
total_minutes = result['total_minutes']
for issue_id, minutes in result['issue_estimates'].items():
percentage = (minutes / total_minutes) * 100
hours_mins = f"{minutes//60}h{minutes%60}m" if minutes >= 60 else f"{minutes}m"
rows.append([f"#{issue_id}", hours_mins, f"{percentage:.1f}%"])
click.echo("\nEstimated Time Distribution:")
click.echo(tabulate(rows, headers=headers, tablefmt='grid'))
except Exception as e:
click.echo(f"❌ Error estimating worktime: {e}", err=True)
raise click.Abort()
def _display_daily_summary(summary: Dict[str, Any], format_type: str):
"""Display daily summary in formatted output."""
date_str = summary['date']
worktime = summary['worktime']
activities = summary['activities']
costs = summary['costs']
recommendations = summary['recommendations']
click.echo(f"\n📊 Daily Wrap-Up for {date_str}")
click.echo("=" * 50)
# Worktime section
click.echo(f"\n⏰ WORKTIME SUMMARY")
if worktime['total_minutes'] > 0:
hours = int(worktime['total_hours'])
minutes = int((worktime['total_hours'] - hours) * 60)
click.echo(f"Total Time: {hours}h {minutes}m ({worktime['total_minutes']} minutes)")
click.echo(f"Issues Worked: {worktime['issues_worked']}")
click.echo(f"Time Entries: {worktime['entries']}")
if worktime['cost_allocated']:
click.echo(f"Cost Allocated: €{worktime['cost_allocated']:.2f}")
click.echo(f"Cost per Minute: €{worktime['cost_per_minute']:.4f}")
if format_type == 'detailed' and worktime['issue_breakdown']:
click.echo("\nTime by Issue:")
headers = ['Issue', 'Time', 'Entries', 'Percentage']
rows = []
for issue_id, data in worktime['issue_breakdown'].items():
percentage = (data['minutes'] / worktime['total_minutes']) * 100
time_str = f"{data['minutes']//60}h{data['minutes']%60}m" if data['minutes'] >= 60 else f"{data['minutes']}m"
rows.append([f"#{issue_id}", time_str, data['entries'], f"{percentage:.1f}%"])
click.echo(tabulate(rows, headers=headers, tablefmt='grid'))
else:
click.echo("No worktime logged today")
# Activities section
click.echo(f"\n📝 ACTIVITIES SUMMARY")
if activities['total_activities'] > 0:
click.echo(f"Total Activities: {activities['total_activities']}")
click.echo(f"Issues with Activity: {activities['unique_issues']}")
if activities['activities_by_type']:
click.echo("\nActivity Breakdown:")
for activity_type, count in activities['activities_by_type'].items():
click.echo(f" {activity_type.title()}: {count}")
if format_type == 'detailed' and activities['activities']:
click.echo("\nRecent Activities:")
for activity in activities['activities'][:5]: # Show last 5
details = f" - {activity['details']}" if activity['details'] else ""
click.echo(f" #{activity['issue_id']}: {activity['activity_type']}{details}")
else:
click.echo("No activities logged today")
# Costs section
click.echo(f"\n💰 COST SUMMARY")
if costs['has_cost_allocation']:
click.echo(f"Daily Total: €{costs['daily_total']:.2f}")
click.echo("Cost Allocation:")
for issue_id, cost in costs['issue_costs'].items():
click.echo(f" Issue #{issue_id}: €{cost:.2f}")
else:
click.echo("No cost allocation for today")
# Recommendations section
if recommendations:
click.echo(f"\n💡 RECOMMENDATIONS")
for rec in recommendations:
click.echo(f" {rec}")
click.echo()
def _display_period_summary(summary: Dict[str, Any]):
"""Display period summary in formatted output."""
click.echo(f"\n📈 Period Wrap-Up: {summary['period']}")
click.echo("=" * 60)
worktime = summary['worktime']
activities = summary['activities']
# Worktime summary
click.echo(f"\n⏰ WORKTIME OVERVIEW")
click.echo(f"Total Time: {worktime['total_time']['hours']}h {worktime['total_time']['minutes']}m")
click.echo(f"Total Entries: {worktime['total_entries']}")
click.echo(f"Unique Issues: {worktime['unique_issues']}")
click.echo(f"Unique Dates: {worktime['unique_dates']}")
if worktime['unique_dates'] > 0:
avg_minutes = worktime['average_minutes_per_day']
avg_hours = int(avg_minutes // 60)
avg_mins = int(avg_minutes % 60)
click.echo(f"Average per Day: {avg_hours}h {avg_mins}m")
# Activities summary
click.echo(f"\n📝 ACTIVITIES OVERVIEW")
click.echo(f"Total Activities: {activities['total_activities']}")
click.echo(f"Unique Issues: {activities['unique_issues']}")
if activities['activities_by_type']:
click.echo("\nActivity Types:")
for activity_type, count in activities['activities_by_type'].items():
percentage = (count / activities['total_activities']) * 100
click.echo(f" {activity_type.title()}: {count} ({percentage:.1f}%)")
click.echo()
if __name__ == '__main__':
wrapup()

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@@ -1,7 +0,0 @@
"""
Issue management module for MarkiTect.
Provides unified CLI interface for issue management with pluggable backend support.
"""
__version__ = "1.0.0"

View File

@@ -1,271 +0,0 @@
"""
CLI commands for issue activity tracking.
This module provides command-line interface for logging, viewing, and managing
issue activities for cost allocation and project management purposes.
"""
import click
from datetime import datetime, date
from typing import List, Optional
from tabulate import tabulate
from markitect.issues.activity_tracker import IssueActivityTracker, ActivityType, IssueActivity
@click.group()
def activity():
"""Issue activity tracking commands."""
pass
@activity.command()
@click.argument('issue_id', type=int)
@click.argument('activity_type', type=click.Choice([at.value for at in ActivityType]))
@click.option('--date', '-d', type=click.DateTime(formats=['%Y-%m-%d']),
help='Activity date (defaults to today)')
@click.option('--details', '-m', help='Activity details/message')
@click.option('--period-id', type=int, help='Cost period ID for allocation')
def log(issue_id: int, activity_type: str, date: Optional[datetime],
details: Optional[str], period_id: Optional[int]):
"""Log an activity for an issue."""
tracker = IssueActivityTracker()
activity_date = date.date() if date else None
activity_enum = ActivityType(activity_type)
try:
activity_id = tracker.log_activity(
issue_id=issue_id,
activity_type=activity_enum,
activity_date=activity_date,
activity_details=details,
period_id=period_id
)
click.echo(f"✅ Logged {activity_type} activity for issue #{issue_id} (ID: {activity_id})")
if details:
click.echo(f" Details: {details}")
except Exception as e:
click.echo(f"❌ Error logging activity: {e}", err=True)
raise click.Abort()
@activity.command()
@click.argument('issue_id', type=int)
@click.option('--limit', '-l', type=int, default=20, help='Maximum number of activities to show')
@click.option('--offset', type=int, default=0, help='Number of activities to skip')
@click.option('--format', 'output_format', type=click.Choice(['table', 'json']),
default='table', help='Output format')
def show(issue_id: int, limit: int, offset: int, output_format: str):
"""Show activities for a specific issue."""
tracker = IssueActivityTracker()
try:
activities = tracker.get_issue_activities(issue_id, limit=limit, offset=offset)
if not activities:
click.echo(f"📝 No activities found for issue #{issue_id}")
return
if output_format == 'json':
import json
activity_data = [activity.to_dict() for activity in activities]
click.echo(json.dumps(activity_data, indent=2))
else:
# Table format
click.echo(f"\n📋 Activities for Issue #{issue_id}\n")
headers = ['ID', 'Type', 'Date', 'Period', 'Details', 'Logged']
rows = []
for activity in activities:
rows.append([
activity.id,
activity.activity_type_display,
activity.formatted_date,
activity.period_id or 'N/A',
activity.truncated_details,
activity.formatted_datetime
])
click.echo(tabulate(rows, headers=headers, tablefmt='grid'))
if len(activities) == limit:
click.echo(f"\n💡 Showing {limit} most recent activities. Use --limit and --offset for pagination.")
except Exception as e:
click.echo(f"❌ Error retrieving activities: {e}", err=True)
raise click.Abort()
@activity.command()
@click.option('--period-id', type=int, help='Filter by cost period ID')
@click.option('--activity-type', type=click.Choice([at.value for at in ActivityType]),
multiple=True, help='Filter by activity types (can specify multiple)')
@click.option('--format', 'output_format', type=click.Choice(['table', 'json']),
default='table', help='Output format')
def list(period_id: Optional[int], activity_type: List[str], output_format: str):
"""List activities across issues."""
tracker = IssueActivityTracker()
try:
if period_id:
activity_types = [ActivityType(at) for at in activity_type] if activity_type else None
activities = tracker.get_activities_by_period(period_id, activity_types)
title = f"Activities for Period #{period_id}"
else:
# For now, show recent activities across all issues (could be enhanced)
click.echo("❌ Currently only period-based listing is supported. Use --period-id option.")
return
if not activities:
click.echo(f"📝 No activities found for the specified criteria")
return
if output_format == 'json':
import json
activity_data = [activity.to_dict() for activity in activities]
click.echo(json.dumps(activity_data, indent=2))
else:
# Table format
click.echo(f"\n📊 {title}\n")
headers = ['ID', 'Issue', 'Type', 'Date', 'Details']
rows = []
for activity in activities:
rows.append([
activity.id,
f"#{activity.issue_id}",
activity.activity_type.value.title(),
activity.activity_date.strftime('%Y-%m-%d') if activity.activity_date else 'N/A',
(activity.activity_details[:50] + '...') if activity.activity_details and len(activity.activity_details) > 50 else (activity.activity_details or '')
])
click.echo(tabulate(rows, headers=headers, tablefmt='grid'))
click.echo(f"\n📈 Total: {len(activities)} activities")
except Exception as e:
click.echo(f"❌ Error retrieving activities: {e}", err=True)
raise click.Abort()
@activity.command()
@click.option('--issue-id', type=int, help='Filter by specific issue ID')
@click.option('--start-date', type=click.DateTime(formats=['%Y-%m-%d']),
help='Start date for summary period')
@click.option('--end-date', type=click.DateTime(formats=['%Y-%m-%d']),
help='End date for summary period')
def summary(issue_id: Optional[int], start_date: Optional[datetime],
end_date: Optional[datetime]):
"""Show activity summary statistics."""
tracker = IssueActivityTracker()
try:
summary_data = tracker.get_activity_summary(
issue_id=issue_id,
start_date=start_date.date() if start_date else None,
end_date=end_date.date() if end_date else None
)
click.echo("\n📊 Issue Activity Summary\n")
# Basic stats
click.echo(f"Total Activities: {summary_data['total_activities']}")
click.echo(f"Unique Issues: {summary_data['unique_issues']}")
# Date range
date_range = summary_data['date_range']
if date_range['start'] and date_range['end']:
click.echo(f"Date Range: {date_range['start']} to {date_range['end']}")
elif date_range['start']:
click.echo(f"Since: {date_range['start']}")
# Activity breakdown
if summary_data['activities_by_type']:
click.echo("\nActivity Breakdown:")
for activity_type, count in summary_data['activities_by_type'].items():
percentage = (count / summary_data['total_activities']) * 100
click.echo(f" {activity_type.title()}: {count} ({percentage:.1f}%)")
# Filters applied
filters = summary_data['filters']
applied_filters = []
if filters['issue_id']:
applied_filters.append(f"Issue #{filters['issue_id']}")
if filters['start_date']:
applied_filters.append(f"From {filters['start_date']}")
if filters['end_date']:
applied_filters.append(f"Until {filters['end_date']}")
if applied_filters:
click.echo(f"\nFilters Applied: {', '.join(applied_filters)}")
except Exception as e:
click.echo(f"❌ Error generating summary: {e}", err=True)
raise click.Abort()
@activity.command()
@click.argument('activity_id', type=int)
@click.confirmation_option(prompt='Are you sure you want to delete this activity?')
def delete(activity_id: int):
"""Delete an activity record."""
tracker = IssueActivityTracker()
try:
if tracker.delete_activity(activity_id):
click.echo(f"✅ Deleted activity #{activity_id}")
else:
click.echo(f"❌ Activity #{activity_id} not found")
raise click.Abort()
except Exception as e:
click.echo(f"❌ Error deleting activity: {e}", err=True)
raise click.Abort()
@activity.command()
@click.argument('file_path', type=click.Path(exists=True))
@click.option('--format', 'input_format', type=click.Choice(['json', 'csv']),
default='json', help='Input file format')
def import_activities(file_path: str, input_format: str):
"""Import activities from a file."""
tracker = IssueActivityTracker()
try:
if input_format == 'json':
import json
with open(file_path, 'r') as f:
activities = json.load(f)
elif input_format == 'csv':
import csv
activities = []
with open(file_path, 'r') as f:
reader = csv.DictReader(f)
for row in reader:
activity = {
'issue_id': int(row['issue_id']),
'activity_type': row['activity_type'],
'activity_date': datetime.strptime(row['activity_date'], '%Y-%m-%d').date() if row.get('activity_date') else None,
'activity_details': row.get('activity_details'),
'period_id': int(row['period_id']) if row.get('period_id') else None
}
activities.append(activity)
activity_ids = tracker.bulk_log_activities(activities)
click.echo(f"✅ Successfully imported {len(activity_ids)} activities")
except Exception as e:
click.echo(f"❌ Error importing activities: {e}", err=True)
raise click.Abort()
if __name__ == '__main__':
activity()

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@@ -1,417 +0,0 @@
"""
Issue Activity Tracking Service
This module provides comprehensive issue activity tracking functionality,
building on the existing database infrastructure to log and retrieve
issue activities for cost allocation and project management.
"""
import sqlite3
from datetime import datetime, date
from typing import List, Dict, Any, Optional
from dataclasses import dataclass, asdict
from enum import Enum
from markitect.finance.models import FinanceModels
class ActivityType(Enum):
"""Enumeration of supported issue activity types."""
CREATED = "created"
MODIFIED = "modified"
CLOSED = "closed"
REOPENED = "reopened"
COMMENTED = "commented"
STATUS_CHANGED = "status_changed"
@dataclass
class IssueActivity:
"""Data class representing an issue activity record with convenient methods."""
id: Optional[int] = None
issue_id: int = None
activity_type: ActivityType = None
activity_date: date = None
period_id: Optional[int] = None
activity_details: Optional[str] = None
created_at: Optional[datetime] = None
@property
def activity_type_value(self) -> str:
"""Get the string value of the activity type."""
return self.activity_type.value if self.activity_type else ''
@property
def activity_type_display(self) -> str:
"""Get the display-friendly activity type."""
return self.activity_type_value.replace('_', ' ').title()
@property
def formatted_date(self) -> str:
"""Get formatted activity date string."""
return self.activity_date.strftime('%Y-%m-%d') if self.activity_date else 'N/A'
@property
def formatted_datetime(self) -> str:
"""Get formatted created datetime string."""
return self.created_at.strftime('%Y-%m-%d %H:%M') if self.created_at else 'N/A'
@property
def truncated_details(self) -> str:
"""Get truncated activity details for display (max 40 chars)."""
if not self.activity_details:
return ''
return (self.activity_details[:40] + '...') if len(self.activity_details) > 40 else self.activity_details
def contains_keyword(self, keyword: str, case_sensitive: bool = False) -> bool:
"""Check if activity contains a keyword in type or details."""
search_text = f"{self.activity_type_value} {self.activity_details or ''}".strip()
if not case_sensitive:
search_text = search_text.lower()
keyword = keyword.lower()
return keyword in search_text
def has_implementation_activity(self) -> bool:
"""Check if this activity indicates implementation work."""
return (self.contains_keyword('implement') or
self.contains_keyword('code') or
self.contains_keyword('develop'))
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary representation."""
return {
'id': self.id,
'issue_id': self.issue_id,
'activity_type': self.activity_type_value,
'activity_date': self.activity_date.isoformat() if self.activity_date else None,
'period_id': self.period_id,
'activity_details': self.activity_details,
'created_at': self.created_at.isoformat() if self.created_at else None
}
class IssueActivityTracker:
"""
Service for tracking and managing issue activities.
Provides functionality to log issue activities, retrieve activity history,
and generate activity reports for cost allocation and project management.
"""
def __init__(self, db_path: str = "markitect.db"):
"""
Initialize the issue activity tracker.
Args:
db_path: Path to the SQLite database file
"""
self.db_path = db_path
self.finance_models = FinanceModels(db_path)
self._ensure_schema()
def _ensure_schema(self):
"""Ensure the database schema is properly initialized."""
self.finance_models.initialize_finance_schema()
def log_activity(
self,
issue_id: int,
activity_type: ActivityType,
activity_date: Optional[date] = None,
activity_details: Optional[str] = None,
period_id: Optional[int] = None
) -> int:
"""
Log an issue activity.
Args:
issue_id: ID of the issue
activity_type: Type of activity performed
activity_date: Date when activity occurred (defaults to today)
activity_details: Additional details about the activity
period_id: Optional period ID for cost allocation
Returns:
ID of the created activity record
Raises:
sqlite3.Error: If database operation fails
"""
if activity_date is None:
activity_date = date.today()
with self.finance_models.get_connection() as conn:
cursor = conn.cursor()
# If period_id is not provided, try to get the current period
if period_id is None:
cursor.execute('''
SELECT id FROM cost_periods
WHERE ? BETWEEN period_start AND period_end
ORDER BY created_at DESC LIMIT 1
''', (activity_date.isoformat(),))
result = cursor.fetchone()
if result:
period_id = result[0]
cursor.execute('''
INSERT INTO issue_activity_log
(issue_id, activity_type, activity_date, period_id, activity_details)
VALUES (?, ?, ?, ?, ?)
''', (issue_id, activity_type.value, activity_date.isoformat(), period_id, activity_details))
return cursor.lastrowid
def get_issue_activities(
self,
issue_id: int,
limit: Optional[int] = None,
offset: int = 0
) -> List[IssueActivity]:
"""
Get activities for a specific issue.
Args:
issue_id: ID of the issue
limit: Maximum number of activities to return
offset: Number of activities to skip
Returns:
List of issue activities, ordered by activity date (most recent first)
"""
with self.finance_models.get_connection() as conn:
cursor = conn.cursor()
query = '''
SELECT id, issue_id, activity_type, activity_date,
period_id, activity_details, created_at
FROM issue_activity_log
WHERE issue_id = ?
ORDER BY activity_date DESC, created_at DESC
'''
params = [issue_id]
if limit:
query += ' LIMIT ? OFFSET ?'
params.extend([limit, offset])
cursor.execute(query, params)
rows = cursor.fetchall()
activities = []
for row in rows:
activity = IssueActivity(
id=row[0],
issue_id=row[1],
activity_type=ActivityType(row[2]),
activity_date=datetime.strptime(row[3], '%Y-%m-%d').date() if row[3] else None,
period_id=row[4],
activity_details=row[5],
created_at=datetime.fromisoformat(row[6]) if row[6] else None
)
activities.append(activity)
return activities
def get_activities_by_period(
self,
period_id: int,
activity_types: Optional[List[ActivityType]] = None
) -> List[IssueActivity]:
"""
Get all activities within a specific cost period.
Args:
period_id: ID of the cost period
activity_types: Optional list of activity types to filter by
Returns:
List of issue activities within the period
"""
with self.finance_models.get_connection() as conn:
cursor = conn.cursor()
query = '''
SELECT id, issue_id, activity_type, activity_date,
period_id, activity_details, created_at
FROM issue_activity_log
WHERE period_id = ?
'''
params = [period_id]
if activity_types:
placeholders = ','.join(['?' for _ in activity_types])
query += f' AND activity_type IN ({placeholders})'
params.extend([at.value for at in activity_types])
query += ' ORDER BY activity_date DESC, created_at DESC'
cursor.execute(query, params)
rows = cursor.fetchall()
activities = []
for row in rows:
activity = IssueActivity(
id=row[0],
issue_id=row[1],
activity_type=ActivityType(row[2]),
activity_date=datetime.strptime(row[3], '%Y-%m-%d').date() if row[3] else None,
period_id=row[4],
activity_details=row[5],
created_at=datetime.fromisoformat(row[6]) if row[6] else None
)
activities.append(activity)
return activities
def get_activity_summary(
self,
issue_id: Optional[int] = None,
start_date: Optional[date] = None,
end_date: Optional[date] = None
) -> Dict[str, Any]:
"""
Get activity summary statistics.
Args:
issue_id: Optional issue ID to filter by
start_date: Optional start date filter
end_date: Optional end date filter
Returns:
Dictionary containing activity summary statistics
"""
with self.finance_models.get_connection() as conn:
cursor = conn.cursor()
# Build base query
base_conditions = []
params = []
if issue_id:
base_conditions.append('issue_id = ?')
params.append(issue_id)
if start_date:
base_conditions.append('activity_date >= ?')
params.append(start_date.isoformat() if hasattr(start_date, 'isoformat') else start_date)
if end_date:
base_conditions.append('activity_date <= ?')
params.append(end_date.isoformat() if hasattr(end_date, 'isoformat') else end_date)
where_clause = ' AND '.join(base_conditions) if base_conditions else '1=1'
# Get total activity count
cursor.execute(f'''
SELECT COUNT(*) FROM issue_activity_log WHERE {where_clause}
''', params)
total_activities = cursor.fetchone()[0]
# Get activity count by type
cursor.execute(f'''
SELECT activity_type, COUNT(*)
FROM issue_activity_log
WHERE {where_clause}
GROUP BY activity_type
ORDER BY COUNT(*) DESC
''', params)
activities_by_type = dict(cursor.fetchall())
# Get unique issues count
cursor.execute(f'''
SELECT COUNT(DISTINCT issue_id)
FROM issue_activity_log
WHERE {where_clause}
''', params)
unique_issues = cursor.fetchone()[0]
# Get date range
cursor.execute(f'''
SELECT MIN(activity_date), MAX(activity_date)
FROM issue_activity_log
WHERE {where_clause}
''', params)
date_range = cursor.fetchone()
return {
'total_activities': total_activities,
'activities_by_type': activities_by_type,
'unique_issues': unique_issues,
'date_range': {
'start': date_range[0] if date_range[0] else None,
'end': date_range[1] if date_range[1] else None
},
'filters': {
'issue_id': issue_id,
'start_date': start_date.isoformat() if start_date else None,
'end_date': end_date.isoformat() if end_date else None
}
}
def delete_activity(self, activity_id: int) -> bool:
"""
Delete an activity record.
Args:
activity_id: ID of the activity to delete
Returns:
True if activity was deleted, False if not found
"""
with self.finance_models.get_connection() as conn:
cursor = conn.cursor()
cursor.execute('DELETE FROM issue_activity_log WHERE id = ?', (activity_id,))
return cursor.rowcount > 0
def bulk_log_activities(self, activities: List[Dict[str, Any]]) -> List[int]:
"""
Log multiple activities in a single transaction.
Args:
activities: List of activity dictionaries with keys:
issue_id, activity_type, activity_date (optional),
activity_details (optional), period_id (optional)
Returns:
List of created activity IDs
Raises:
ValueError: If activity data is invalid
sqlite3.Error: If database operation fails
"""
activity_ids = []
with self.finance_models.get_connection() as conn:
cursor = conn.cursor()
for activity_data in activities:
if 'issue_id' not in activity_data or 'activity_type' not in activity_data:
raise ValueError("Each activity must have 'issue_id' and 'activity_type'")
issue_id = activity_data['issue_id']
activity_type = ActivityType(activity_data['activity_type'])
activity_date = activity_data.get('activity_date', date.today())
activity_details = activity_data.get('activity_details')
period_id = activity_data.get('period_id')
# Auto-determine period if not provided
if period_id is None:
cursor.execute('''
SELECT id FROM cost_periods
WHERE ? BETWEEN period_start AND period_end
ORDER BY created_at DESC LIMIT 1
''', (activity_date.isoformat() if hasattr(activity_date, 'isoformat') else activity_date,))
result = cursor.fetchone()
if result:
period_id = result[0]
cursor.execute('''
INSERT INTO issue_activity_log
(issue_id, activity_type, activity_date, period_id, activity_details)
VALUES (?, ?, ?, ?, ?)
''', (issue_id, activity_type.value, activity_date.isoformat() if hasattr(activity_date, 'isoformat') else activity_date, period_id, activity_details))
activity_ids.append(cursor.lastrowid)
return activity_ids

View File

@@ -1,109 +0,0 @@
"""
Abstract base class for issue management backends.
This module defines the interface that all issue management backends must implement.
"""
from abc import ABC, abstractmethod
from typing import List, Optional, Dict, Any
import sys
from pathlib import Path
# Add project root to path so domain module can be imported
project_root = Path(__file__).parent.parent.parent
if str(project_root) not in sys.path:
sys.path.insert(0, str(project_root))
from domain.issues.models import Issue
class IssueBackend(ABC):
"""Abstract base class for issue management backends."""
def __init__(self, config: Dict[str, Any]):
"""Initialize backend with configuration."""
self.config = config
@abstractmethod
def list_issues(self, state: Optional[str] = None) -> List[Issue]:
"""
List issues with optional state filter.
Args:
state: Filter by state ('open', 'closed', 'all', or None for all)
Returns:
List of Issue objects
"""
pass
@abstractmethod
def get_issue(self, issue_id: str) -> Issue:
"""
Get specific issue by ID.
Args:
issue_id: The issue identifier
Returns:
Issue object
Raises:
Exception: If issue not found
"""
pass
@abstractmethod
def create_issue(self, title: str, body: str, **kwargs) -> Issue:
"""
Create new issue.
Args:
title: Issue title
body: Issue body/description
**kwargs: Additional issue properties (labels, assignees, etc.)
Returns:
Created Issue object
"""
pass
@abstractmethod
def add_comment(self, issue_id: str, comment: str) -> Dict[str, Any]:
"""
Add comment to issue.
Args:
issue_id: The issue identifier
comment: Comment text
Returns:
Comment metadata (id, timestamp, etc.)
"""
pass
@abstractmethod
def close_issue(self, issue_id: str) -> Issue:
"""
Close issue.
Args:
issue_id: The issue identifier
Returns:
Updated Issue object with closed state
"""
pass
@abstractmethod
def update_issue(self, issue_id: str, **kwargs) -> Issue:
"""
Update issue properties.
Args:
issue_id: The issue identifier
**kwargs: Properties to update (title, body, state, etc.)
Returns:
Updated Issue object
"""
pass

View File

@@ -1,165 +0,0 @@
"""
CLI commands for issue management.
This module provides Click commands for the unified issue management interface.
"""
import click
from typing import Optional
from .manager import IssuePluginManager
from .exceptions import PluginNotFoundError, ConfigurationError
from cli.presenters.views import IssueView
@click.group()
def issues():
"""Issue management with multiple backend support."""
pass
@issues.command()
@click.option('--state', type=click.Choice(['open', 'closed', 'all']), default='all',
help='Filter issues by state')
@click.option('--backend', help='Override configured backend')
def list(state: str, backend: Optional[str]):
"""List issues from configured backend."""
try:
manager = IssuePluginManager()
backend_instance = manager.get_backend(backend)
issues_list = backend_instance.list_issues(state=state)
if state == 'open':
IssueView.show_open_issues(issues_list)
else:
IssueView.show_list(issues_list, f"Issues ({state})")
except (PluginNotFoundError, ConfigurationError) as e:
click.echo(f"Error: {e}", err=True)
raise click.Abort()
except Exception as e:
click.echo(f"Unexpected error: {e}", err=True)
raise click.Abort()
@issues.command()
@click.argument('issue_id')
@click.option('--backend', help='Override configured backend')
def show(issue_id: str, backend: Optional[str]):
"""Show details of a specific issue."""
try:
manager = IssuePluginManager()
backend_instance = manager.get_backend(backend)
issue = backend_instance.get_issue(issue_id)
# Convert issue to dict for display
issue_data = {
'number': issue.number,
'title': issue.title,
'body': getattr(issue, '_body', ''),
'state': issue.state.value if hasattr(issue.state, 'value') else str(issue.state),
'created_at': issue.created_at,
'updated_at': getattr(issue, 'updated_at', issue.created_at),
'labels': [label.name if hasattr(label, 'name') else str(label) for label in issue.labels],
'assignees': getattr(issue, 'assignees', []) or [],
'assignee': getattr(issue, 'assignee', None),
'milestone': getattr(issue, 'milestone', None),
'html_url': getattr(issue, 'html_url', ''),
'state_label': getattr(issue, 'state_label', issue.state.value if hasattr(issue.state, 'value') else str(issue.state)),
'priority_label': getattr(issue, 'priority_label', 'Normal'),
'type_labels': getattr(issue, 'type_labels', []),
'other_labels': getattr(issue, 'other_labels', []),
'kanban_column': getattr(issue, 'kanban_column', 'To Do')
}
IssueView.show_issue_details(issue_data)
except FileNotFoundError:
click.echo(f"Error: Issue {issue_id} not found", err=True)
raise click.Abort()
except (PluginNotFoundError, ConfigurationError) as e:
click.echo(f"Error: {e}", err=True)
raise click.Abort()
except Exception as e:
click.echo(f"Unexpected error: {e}", err=True)
raise click.Abort()
@issues.command()
@click.argument('title')
@click.argument('body')
@click.option('--backend', help='Override configured backend')
def create(title: str, body: str, backend: Optional[str]):
"""Create a new issue."""
try:
manager = IssuePluginManager()
backend_instance = manager.get_backend(backend)
issue = backend_instance.create_issue(title, body)
# Convert issue to dict for display
result = {
'number': issue.number,
'title': issue.title,
'state': issue.state.value if hasattr(issue.state, 'value') else str(issue.state)
}
IssueView.show_creation_success(result, "issue")
click.echo(f"Issue #{issue.number} created successfully")
except (PluginNotFoundError, ConfigurationError) as e:
click.echo(f"Error: {e}", err=True)
raise click.Abort()
except Exception as e:
click.echo(f"Unexpected error: {e}", err=True)
raise click.Abort()
@issues.command()
@click.argument('issue_id')
@click.argument('comment')
@click.option('--backend', help='Override configured backend')
def comment(issue_id: str, comment: str, backend: Optional[str]):
"""Add a comment to an issue."""
try:
manager = IssuePluginManager()
backend_instance = manager.get_backend(backend)
result = backend_instance.add_comment(issue_id, comment)
click.echo(f"Comment added to issue #{issue_id}")
except ValueError as e:
click.echo(f"Error: {e}", err=True)
raise click.Abort()
except (PluginNotFoundError, ConfigurationError) as e:
click.echo(f"Error: {e}", err=True)
raise click.Abort()
except Exception as e:
click.echo(f"Unexpected error: {e}", err=True)
raise click.Abort()
@issues.command()
@click.argument('issue_id')
@click.option('--backend', help='Override configured backend')
def close(issue_id: str, backend: Optional[str]):
"""Close an issue."""
try:
manager = IssuePluginManager()
backend_instance = manager.get_backend(backend)
issue = backend_instance.close_issue(issue_id)
click.echo(f"Issue #{issue_id} closed successfully")
except FileNotFoundError:
click.echo(f"Error: Issue {issue_id} not found", err=True)
raise click.Abort()
except (PluginNotFoundError, ConfigurationError) as e:
click.echo(f"Error: {e}", err=True)
raise click.Abort()
except Exception as e:
click.echo(f"Unexpected error: {e}", err=True)
raise click.Abort()
# Make issues_group available for import
issues_group = issues

View File

@@ -1,18 +0,0 @@
"""
Exceptions for the issue management module.
"""
class IssuePluginError(Exception):
"""Base exception for issue plugin errors."""
pass
class PluginNotFoundError(IssuePluginError):
"""Raised when a requested plugin is not found."""
pass
class ConfigurationError(IssuePluginError):
"""Raised when there's a configuration error."""
pass

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@@ -1,600 +0,0 @@
"""
Single Command Issue Wrap-Up functionality.
This module provides comprehensive issue completion automation including:
- Requirement validation and verification
- Test execution and validation
- Cost note creation and database updates
- Git operations (add, commit with cost notes)
- Comprehensive completion summary
The system automates the entire issue closure workflow in a single command.
"""
import click
import subprocess
import os
import json
from datetime import datetime, date
from typing import Optional, Dict, Any, List
from decimal import Decimal
from pathlib import Path
from tabulate import tabulate
from ..finance.worktime_tracker import WorktimeTracker
from ..finance.session_tracker import SessionCostTracker
from ..finance.cost_manager import CostItemManager
from .activity_tracker import IssueActivityTracker
from .manager import IssuePluginManager
class IssueWrapUpService:
"""Service for comprehensive issue wrap-up functionality."""
def __init__(self, db_path: str = "markitect.db"):
"""Initialize the issue wrap-up service."""
self.db_path = db_path
self.worktime_tracker = WorktimeTracker(db_path)
self.activity_tracker = IssueActivityTracker(db_path)
self.session_tracker = SessionCostTracker(db_path)
self.cost_manager = CostItemManager(db_path)
self.issue_manager = IssuePluginManager()
def wrap_up_issue(self, issue_number: int, force: bool = False) -> Dict[str, Any]:
"""
Perform comprehensive issue wrap-up.
Args:
issue_number: Issue number to wrap up
force: Skip validation checks if True
Returns:
Dictionary containing wrap-up results
"""
wrap_up_results = {
'issue_number': issue_number,
'timestamp': datetime.now(),
'steps': {}
}
# Step 1: Get issue details
click.echo(f"🔍 Retrieving issue #{issue_number} details...")
issue_details = self._get_issue_details(issue_number)
wrap_up_results['issue_details'] = issue_details
wrap_up_results['steps']['issue_retrieval'] = {'success': bool(issue_details)}
if not issue_details and not force:
wrap_up_results['steps']['issue_retrieval']['error'] = "Issue not found"
return wrap_up_results
# Step 2: Review requirements (placeholder - would need issue analysis)
click.echo("📋 Reviewing requirements...")
req_check = self._review_requirements(issue_number, issue_details, force)
wrap_up_results['steps']['requirement_review'] = req_check
# Step 3: Run associated tests
click.echo("🧪 Running associated tests...")
test_results = self._run_issue_tests(issue_number, force)
wrap_up_results['steps']['test_execution'] = test_results
# Step 4: Run full test suite
click.echo("🔬 Running full test suite...")
full_test_results = self._run_full_tests(force)
wrap_up_results['steps']['full_test_execution'] = full_test_results
# Step 5: Calculate and update costs
click.echo("💰 Calculating and updating costs...")
cost_results = self._update_cost_tracking(issue_number, issue_details)
wrap_up_results['steps']['cost_tracking'] = cost_results
# Step 6: Create/update cost note
click.echo("📄 Creating/updating cost note...")
cost_note_results = self._create_cost_note(issue_number, issue_details, cost_results)
wrap_up_results['steps']['cost_note'] = cost_note_results
# Step 7: Git operations
click.echo("📦 Adding and committing changes...")
git_results = self._git_operations(issue_number, issue_details)
wrap_up_results['steps']['git_operations'] = git_results
# Step 8: Close issue
click.echo("🔒 Closing issue...")
closure_results = self._close_issue(issue_number)
wrap_up_results['steps']['issue_closure'] = closure_results
return wrap_up_results
def _get_issue_details(self, issue_number: int) -> Optional[Dict[str, Any]]:
"""Retrieve issue details from the backend."""
try:
backend = self.issue_manager.get_backend()
# This would call the actual backend API
# For now, simulate with basic info
return {
'number': issue_number,
'title': f"Issue #{issue_number}",
'status': 'open',
'description': 'Issue description would be retrieved from backend'
}
except Exception as e:
return None
def _review_requirements(self, issue_number: int, issue_details: Optional[Dict], force: bool) -> Dict[str, Any]:
"""Review that requirements have been met."""
if force:
return {'success': True, 'forced': True}
# This would implement actual requirement checking logic
# For now, check if there are recent activities
activities = self.activity_tracker.get_issue_activities(
issue_id=issue_number,
limit=10
)
has_implementation = any(
activity.has_implementation_activity()
for activity in activities
)
return {
'success': has_implementation or len(activities) > 0,
'activities_count': len(activities),
'has_implementation_activity': has_implementation
}
def _run_issue_tests(self, issue_number: int, force: bool) -> Dict[str, Any]:
"""Run tests associated with the issue."""
test_files = [
f"tests/test_issue_{issue_number}_*.py",
f"tests/test_issue_{issue_number}.py"
]
results = {
'success': True,
'test_files': [],
'output': []
}
for test_pattern in test_files:
# Check if test files exist
test_files_found = list(Path('.').glob(test_pattern))
for test_file in test_files_found:
results['test_files'].append(str(test_file))
try:
if force:
results['output'].append(f"FORCED: Skipping test execution for {test_file}")
continue
# Run the specific test
cmd = ['.venv/bin/python', '-m', 'pytest', str(test_file), '-v']
result = subprocess.run(cmd, capture_output=True, text=True, cwd='.')
results['output'].append({
'file': str(test_file),
'returncode': result.returncode,
'stdout': result.stdout,
'stderr': result.stderr
})
if result.returncode != 0:
results['success'] = False
except Exception as e:
results['success'] = False
results['output'].append({
'file': str(test_file),
'error': str(e)
})
if not results['test_files']:
results['output'].append(f"No specific test files found for issue #{issue_number}")
return results
def _run_full_tests(self, force: bool) -> Dict[str, Any]:
"""Run the full test suite to ensure no regressions."""
if force:
return {
'success': True,
'forced': True,
'output': 'FORCED: Skipped full test suite execution'
}
try:
# Try to determine the test command from Makefile or common patterns
test_commands = [
['make', 'test'],
['.venv/bin/python', '-m', 'pytest', '-v'],
['python', '-m', 'pytest', '-v'],
['pytest', '-v']
]
for cmd in test_commands:
try:
result = subprocess.run(cmd, capture_output=True, text=True, cwd='.', timeout=300)
return {
'success': result.returncode == 0,
'command': ' '.join(cmd),
'returncode': result.returncode,
'stdout': result.stdout,
'stderr': result.stderr
}
except (subprocess.TimeoutExpired, FileNotFoundError):
continue
return {
'success': False,
'error': 'No suitable test command found'
}
except Exception as e:
return {
'success': False,
'error': str(e)
}
def _update_cost_tracking(self, issue_number: int, issue_details: Optional[Dict]) -> Dict[str, Any]:
"""Calculate and register time and cost data in database."""
try:
# Get activity data
activities = self.activity_tracker.get_issue_activities(issue_id=issue_number)
# Get session cost data - method may not exist
session_costs = []
try:
if hasattr(self.session_tracker, 'get_issue_costs'):
session_costs = self.session_tracker.get_issue_costs(issue_number)
elif hasattr(self.session_tracker, 'get_costs_for_issue'):
session_costs = self.session_tracker.get_costs_for_issue(issue_number)
except Exception:
# If session cost tracking fails, continue with empty list
session_costs = []
# Try to get worktime data - method name may vary
total_minutes = 0
try:
# Try different possible methods for getting worktime data
if hasattr(self.worktime_tracker, 'get_issue_summary'):
worktime_summary = self.worktime_tracker.get_issue_summary(issue_number)
total_minutes = worktime_summary.get('total_minutes', 0) if worktime_summary else 0
elif hasattr(self.worktime_tracker, 'get_issue_worktime'):
worktime_data = self.worktime_tracker.get_issue_worktime(issue_number)
total_minutes = worktime_data.get('total_minutes', 0) if worktime_data else 0
# If no specific method available, try to calculate from entries
elif hasattr(self.worktime_tracker, 'get_entries'):
entries = self.worktime_tracker.get_entries()
total_minutes = sum(
entry.duration_minutes for entry in entries
if hasattr(entry, 'issue_id') and entry.issue_id == issue_number
)
except Exception:
# If worktime tracking fails, continue with 0
total_minutes = 0
# Calculate totals
total_cost = sum(cost.get('cost_eur', 0) for cost in session_costs)
cost_data = {
'issue_number': issue_number,
'total_minutes': total_minutes,
'total_hours': total_minutes / 60 if total_minutes else 0,
'total_cost_eur': total_cost,
'activity_count': len(activities),
'session_count': len(session_costs)
}
# This would register in a centralized cost tracking system
# For now, just return the calculated data
return {
'success': True,
'cost_data': cost_data
}
except Exception as e:
return {
'success': False,
'error': str(e)
}
def _create_cost_note(self, issue_number: int, issue_details: Optional[Dict], cost_results: Dict) -> Dict[str, Any]:
"""Create or update cost note for the issue."""
try:
cost_data = cost_results.get('cost_data', {})
# Create cost note content
cost_note_content = self._generate_cost_note_content(
issue_number, issue_details, cost_data
)
# Write cost note file
cost_note_path = Path(f"cost_notes/issue_{issue_number}_cost_{date.today().isoformat()}.md")
cost_note_path.parent.mkdir(exist_ok=True)
with open(cost_note_path, 'w') as f:
f.write(cost_note_content)
return {
'success': True,
'cost_note_path': str(cost_note_path)
}
except Exception as e:
return {
'success': False,
'error': str(e)
}
def _generate_cost_note_content(self, issue_number: int, issue_details: Optional[Dict], cost_data: Dict) -> str:
"""Generate cost note content."""
title = issue_details.get('title', f'Issue #{issue_number}') if issue_details else f'Issue #{issue_number}'
total_cost_eur = cost_data.get('total_cost_eur', 0)
total_cost_usd = total_cost_eur / 0.92 if total_cost_eur else 0 # Approximate conversion
content = f"""---
note_type: "issue_cost_tracking"
issue_id: {issue_number}
issue_title: "{title}"
session_date: "{date.today().isoformat()}"
claude_model: "claude-sonnet-4"
total_cost_eur: {total_cost_eur:.4f}
total_cost_usd: {total_cost_usd:.3f}
total_minutes: {cost_data.get('total_minutes', 0)}
implementation_time_minutes: {cost_data.get('total_minutes', 0)}
generated_at: "{datetime.now().isoformat()}"
---
# Issue #{issue_number} Implementation Cost
**Issue**: {title}
**Date**: {date.today().isoformat()}
**Claude Model**: claude-sonnet-4
## Cost Summary
- **Total Cost**: €{total_cost_eur:.4f} (${total_cost_usd:.4f} USD)
- **Implementation Time**: {cost_data.get('total_hours', 0):.1f} hours ({cost_data.get('total_minutes', 0)} minutes)
- **Activities Tracked**: {cost_data.get('activity_count', 0)} activities
- **Sessions**: {cost_data.get('session_count', 0)} cost sessions
## Implementation Summary
Issue #{issue_number} "{title}" has been completed and wrapped up through automated process.
## Cost Allocation
This cost has been allocated to issue #{issue_number} implementation.
## Notes
- Currency conversion rate: 1 USD = 0.920 EUR
- Pricing based on claude-sonnet-4 rates as of {date.today().isoformat()}
- Implementation time includes design, coding, testing, and validation
<!--
contentmatter:
{{
"cost_tracking": {{
"issue": {{
"id": {issue_number},
"title": "{title}",
"completion_date": "{date.today().isoformat()}",
"implementation_time_minutes": {cost_data.get('total_minutes', 0)},
"status": "completed"
}},
"costs": {{
"total_cost_usd": {total_cost_usd:.4f},
"total_cost_eur": {total_cost_eur:.4f},
"conversion_rate": 0.92
}},
"tracking": {{
"activity_count": {cost_data.get('activity_count', 0)},
"session_count": {cost_data.get('session_count', 0)}
}}
}}
}}
-->
"""
return content
def _git_operations(self, issue_number: int, issue_details: Optional[Dict]) -> Dict[str, Any]:
"""Perform git add and commit operations."""
try:
# Add all changes including cost notes
result_add = subprocess.run(['git', 'add', '.'], capture_output=True, text=True)
if result_add.returncode != 0:
return {
'success': False,
'error': f'Git add failed: {result_add.stderr}'
}
# Create commit message
title = issue_details.get('title', f'Issue #{issue_number}') if issue_details else f'Issue #{issue_number}'
commit_message = f"""feat: complete issue #{issue_number} - {title}
Automated issue wrap-up including:
- Implementation completion verification
- Test execution and validation
- Cost tracking and note generation
- Repository state commit
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>"""
# Commit changes
result_commit = subprocess.run(
['git', 'commit', '-m', commit_message],
capture_output=True, text=True
)
return {
'success': result_commit.returncode == 0,
'add_output': result_add.stdout,
'commit_output': result_commit.stdout,
'commit_error': result_commit.stderr if result_commit.returncode != 0 else None
}
except Exception as e:
return {
'success': False,
'error': str(e)
}
def _close_issue(self, issue_number: int) -> Dict[str, Any]:
"""Close the issue using the issue management system."""
try:
# Log closing activity
self.activity_tracker.log_activity(
issue_id=issue_number,
activity_type="close",
description=f"Issue #{issue_number} completed via automated wrap-up process"
)
# Try to close via make command (most reliable method)
try:
result = subprocess.run(
['make', 'close-issue', f'NUM={issue_number}'],
capture_output=True, text=True, cwd='.'
)
return {
'success': result.returncode == 0,
'method': 'make',
'output': result.stdout,
'error': result.stderr if result.returncode != 0 else None
}
except Exception:
# Fallback to direct backend call
try:
backend = self.issue_manager.get_backend()
# This would call backend.close_issue(issue_number)
return {
'success': False,
'method': 'backend',
'error': 'Backend closure not implemented'
}
except Exception as e:
return {
'success': False,
'method': 'backend',
'error': str(e)
}
except Exception as e:
return {
'success': False,
'error': str(e)
}
def format_summary(self, results: Dict[str, Any]) -> str:
"""Format wrap-up results as a readable summary."""
issue_num = results['issue_number']
timestamp = results['timestamp'].strftime('%Y-%m-%d %H:%M:%S')
summary = [
f"\n🎉 Issue #{issue_num} Wrap-Up Complete",
f"📅 Completed: {timestamp}",
"=" * 50
]
# Step-by-step results
steps = results.get('steps', {})
step_names = {
'issue_retrieval': '🔍 Issue Retrieval',
'requirement_review': '📋 Requirement Review',
'test_execution': '🧪 Associated Tests',
'full_test_execution': '🔬 Full Test Suite',
'cost_tracking': '💰 Cost Tracking',
'cost_note': '📄 Cost Note',
'git_operations': '📦 Git Operations',
'issue_closure': '🔒 Issue Closure'
}
for step_key, step_name in step_names.items():
if step_key in steps:
step_result = steps[step_key]
success = step_result.get('success', False)
status = "✅ SUCCESS" if success else "❌ FAILED"
summary.append(f"{step_name}: {status}")
if not success and 'error' in step_result:
summary.append(f" Error: {step_result['error']}")
# Cost information
if 'cost_tracking' in steps and steps['cost_tracking'].get('success'):
cost_data = steps['cost_tracking'].get('cost_data', {})
if cost_data:
summary.extend([
"",
"💰 Cost Summary:",
f" Time: {cost_data.get('total_hours', 0):.1f} hours",
f" Cost: €{cost_data.get('total_cost_eur', 0):.4f}",
f" Activities: {cost_data.get('activity_count', 0)}"
])
# Overall status
all_critical_success = all(
steps.get(step, {}).get('success', False)
for step in ['test_execution', 'full_test_execution', 'git_operations']
)
summary.extend([
"",
"🎯 Overall Status:",
"✅ SUCCESS - Issue wrap-up completed successfully!" if all_critical_success
else "⚠️ PARTIAL - Some steps had issues, please review above"
])
return "\n".join(summary)
@click.group()
def issue_wrapup():
"""Issue wrap-up commands for comprehensive issue completion."""
pass
@issue_wrapup.command()
@click.argument('issue_number', type=int)
@click.option('--force', is_flag=True, help='Skip validation checks and force completion')
@click.option('--format', 'output_format', type=click.Choice(['summary', 'detailed', 'json']),
default='summary', help='Output format')
def complete(issue_number: int, force: bool, output_format: str):
"""Complete comprehensive wrap-up for an issue.
Performs all steps needed to properly close an issue:
- Verifies requirements have been met
- Runs associated tests and full test suite
- Calculates and updates cost tracking
- Creates/updates cost notes
- Commits changes to repository
- Closes the issue
- Provides completion summary
"""
service = IssueWrapUpService()
try:
results = service.wrap_up_issue(issue_number, force=force)
if output_format == 'json':
# Convert datetime objects to strings for JSON serialization
json_results = json.loads(json.dumps(results, default=str))
click.echo(json.dumps(json_results, indent=2))
elif output_format == 'detailed':
click.echo(service.format_summary(results))
# Add detailed step information
for step_name, step_data in results.get('steps', {}).items():
if 'output' in step_data:
click.echo(f"\n--- {step_name.title()} Details ---")
click.echo(json.dumps(step_data['output'], indent=2, default=str))
else: # summary
click.echo(service.format_summary(results))
except Exception as e:
click.echo(f"❌ Error during issue wrap-up: {str(e)}", err=True)
raise click.ClickException(f"Issue wrap-up failed: {str(e)}")
if __name__ == '__main__':
issue_wrapup()

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@@ -1,151 +0,0 @@
"""
Plugin manager for issue backends.
This module handles discovery, loading, and configuration of issue management backends.
"""
import importlib
import yaml
from pathlib import Path
from typing import Dict, Any, Type, Optional
from .base import IssueBackend
from .exceptions import PluginNotFoundError, ConfigurationError
class IssuePluginManager:
"""Manages issue backend plugins and configuration."""
def __init__(self, config_path: Optional[str] = None):
"""
Initialize plugin manager.
Args:
config_path: Optional path to configuration file
"""
self.config = self._load_config(config_path)
self.plugins = self._discover_plugins()
def get_backend(self, backend_name: Optional[str] = None) -> IssueBackend:
"""
Get configured backend instance.
Args:
backend_name: Backend name to use, or None for default
Returns:
IssueBackend instance
Raises:
PluginNotFoundError: If backend not found
"""
backend_name = backend_name or self.config.get('default_backend', 'gitea')
plugin_class = self.plugins.get(backend_name)
if not plugin_class:
raise PluginNotFoundError(f"Unknown backend: {backend_name}")
backend_config = self.config.get('backends', {}).get(backend_name, {})
return plugin_class(backend_config)
def _load_config(self, config_path: Optional[str] = None) -> Dict[str, Any]:
"""
Load configuration from file or return defaults.
Args:
config_path: Path to configuration file
Returns:
Configuration dictionary
"""
from config.manager import UnifiedConfigManager
# Get main markitect configuration to extract API token and settings
try:
config_manager = UnifiedConfigManager()
markitect_config = config_manager.get_config()
main_config = markitect_config.__dict__ if hasattr(markitect_config, '__dict__') else {}
except Exception:
main_config = {}
if config_path is None:
config_path = Path('.markitect/config/issues.yml')
else:
config_path = Path(config_path)
# Extract configuration from main markitect config
gitea_url = main_config.get('gitea_url', 'http://92.205.130.254:32166')
api_token = main_config.get('api_token', '')
repo_owner = main_config.get('repo_owner', 'coulomb')
repo_name = main_config.get('repo_name', 'markitect_project')
# Default configuration using main config values
default_config = {
'default_backend': 'gitea',
'backends': {
'gitea': {
'url': gitea_url,
'token': api_token,
'repo_owner': repo_owner,
'repo_name': repo_name,
'repo': f'{repo_owner}/{repo_name}'
},
'local': {
'directory': '.markitect/issues',
'auto_git': True
}
}
}
if not config_path.exists():
return default_config
try:
with open(config_path, 'r') as f:
config = yaml.safe_load(f) or {}
# Merge with defaults
merged_config = default_config.copy()
merged_config.update(config)
# Ensure gitea backend has token from main config if not overridden
if 'backends' in merged_config and 'gitea' in merged_config['backends']:
gitea_config = merged_config['backends']['gitea']
if not gitea_config.get('token'):
gitea_config['token'] = api_token
if not gitea_config.get('repo_owner'):
gitea_config['repo_owner'] = repo_owner
if not gitea_config.get('repo_name'):
gitea_config['repo_name'] = repo_name
return merged_config
except Exception:
# Return defaults if config loading fails
return default_config
def _discover_plugins(self) -> Dict[str, Type[IssueBackend]]:
"""
Discover available backend plugins.
Returns:
Dictionary mapping backend names to plugin classes
"""
plugins = {}
# Try to import known plugins
plugin_modules = [
('gitea', 'markitect.issues.plugins.gitea', 'GiteaPlugin'),
('local', 'markitect.issues.plugins.local', 'LocalPlugin'),
]
for name, module_path, class_name in plugin_modules:
try:
module = importlib.import_module(module_path)
plugin_class = getattr(module, class_name)
if issubclass(plugin_class, IssueBackend):
plugins[name] = plugin_class
except (ImportError, AttributeError):
# Plugin not available, skip
continue
return plugins

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@@ -1,5 +0,0 @@
"""
Issue management plugins.
This package contains backend implementations for different issue management systems.
"""

View File

@@ -1,102 +0,0 @@
"""
Gitea backend plugin for issue management.
This plugin integrates with existing GiteaIssueRepository infrastructure.
"""
import asyncio
from typing import List, Optional, Dict, Any
from ..base import IssueBackend
from domain.issues.models import Issue
from infrastructure.repositories.gitea_repository import GiteaIssueRepository
from infrastructure.connection_manager import ConnectionManager, DataSourceConfig
class GiteaPlugin(IssueBackend):
"""Gitea backend plugin using existing repository infrastructure."""
def __init__(self, config: Dict[str, Any]):
"""Initialize Gitea plugin with configuration."""
super().__init__(config)
# Store repo info for API endpoints
self.repo_owner = config.get('repo_owner', 'coulomb')
self.repo_name = config.get('repo_name', 'markitect_project')
self.repo_full_name = f"{self.repo_owner}/{self.repo_name}"
# Create connection manager with configuration
datasource_config = DataSourceConfig(
gitea_base_url=config.get('url', 'http://92.205.130.254:32166'),
gitea_token=config.get('token', ''),
database_path=config.get('database_path', 'markitect.db')
)
connection_manager = ConnectionManager(datasource_config)
# Create repository with repo info
self.repository = GiteaIssueRepository(connection_manager)
self.repository.set_repo_info(self.repo_owner, self.repo_name)
def list_issues(self, state: Optional[str] = None) -> List[Issue]:
"""List issues from Gitea."""
return asyncio.run(self._list_issues_async(state))
async def _list_issues_async(self, state: Optional[str] = None) -> List[Issue]:
"""Async implementation of list_issues."""
if state == 'all' or state is None:
state = None # Repository expects None for all issues
return await self.repository.get_issues(state=state)
def get_issue(self, issue_id: str) -> Issue:
"""Get specific issue from Gitea."""
return asyncio.run(self._get_issue_async(issue_id))
async def _get_issue_async(self, issue_id: str) -> Issue:
"""Async implementation of get_issue."""
issue_number = int(issue_id)
return await self.repository.get_issue(issue_number)
def create_issue(self, title: str, body: str, **kwargs) -> Issue:
"""Create new issue in Gitea."""
return asyncio.run(self._create_issue_async(title, body, **kwargs))
async def _create_issue_async(self, title: str, body: str, **kwargs) -> Issue:
"""Async implementation of create_issue."""
return await self.repository.create_issue(title=title, body=body, **kwargs)
def add_comment(self, issue_id: str, comment: str) -> Dict[str, Any]:
"""Add comment to Gitea issue."""
return asyncio.run(self._add_comment_async(issue_id, comment))
async def _add_comment_async(self, issue_id: str, comment: str) -> Dict[str, Any]:
"""Async implementation of add_comment."""
if not comment.strip():
raise ValueError("Comment cannot be empty")
if not issue_id.strip():
raise ValueError("Issue ID cannot be empty")
# For now, return mock comment data
# This will be implemented when comment support is added to repository
return {
'id': 'comment_123',
'body': comment,
'issue_id': issue_id
}
def close_issue(self, issue_id: str) -> Issue:
"""Close issue in Gitea."""
return asyncio.run(self._close_issue_async(issue_id))
async def _close_issue_async(self, issue_id: str) -> Issue:
"""Async implementation of close_issue."""
issue_number = int(issue_id)
return await self.repository.update_issue(issue_number, state='closed')
def update_issue(self, issue_id: str, **kwargs) -> Issue:
"""Update issue in Gitea."""
return asyncio.run(self._update_issue_async(issue_id, **kwargs))
async def _update_issue_async(self, issue_id: str, **kwargs) -> Issue:
"""Async implementation of update_issue."""
issue_number = int(issue_id)
return await self.repository.update_issue(issue_number, **kwargs)

View File

@@ -1,300 +0,0 @@
"""
Local file backend plugin for issue management.
This plugin provides offline issue management using markdown files with YAML frontmatter.
"""
import os
import re
import yaml
import subprocess
from datetime import datetime
from pathlib import Path
from typing import List, Optional, Dict, Any
from ..base import IssueBackend
from domain.issues.models import Issue, IssueState, Label
class LocalPlugin(IssueBackend):
"""Local file-based backend plugin."""
def __init__(self, config: Dict[str, Any]):
"""Initialize local plugin with configuration."""
super().__init__(config)
self.issues_dir = Path(config.get('directory', '.markitect/issues'))
self.auto_git = config.get('auto_git', True)
self._setup_directory_structure()
self._load_local_config()
def _setup_directory_structure(self):
"""Create necessary directory structure."""
self.issues_dir.mkdir(parents=True, exist_ok=True)
(self.issues_dir / 'open').mkdir(exist_ok=True)
(self.issues_dir / 'closed').mkdir(exist_ok=True)
def _load_local_config(self):
"""Load or create local configuration."""
config_file = self.issues_dir / 'config.yml'
if config_file.exists():
with open(config_file, 'r') as f:
self.local_config = yaml.safe_load(f) or {}
else:
self.local_config = {'next_issue_number': self.config.get('numbering_start', 1)}
self._save_local_config()
def _save_local_config(self):
"""Save local configuration."""
config_file = self.issues_dir / 'config.yml'
with open(config_file, 'w') as f:
yaml.dump(self.local_config, f, default_flow_style=False)
def list_issues(self, state: Optional[str] = None) -> List[Issue]:
"""List issues from local files."""
issues = []
if state == 'open' or state is None or state == 'all':
issues.extend(self._read_issues_from_directory(self.issues_dir / 'open'))
if state == 'closed' or state is None or state == 'all':
issues.extend(self._read_issues_from_directory(self.issues_dir / 'closed'))
# Sort by issue number
issues.sort(key=lambda x: x.number)
return issues
def _read_issues_from_directory(self, directory: Path) -> List[Issue]:
"""Read all issues from a directory."""
issues = []
if not directory.exists():
return issues
for file_path in directory.glob('*.md'):
try:
issue = self._read_issue_file(file_path)
issues.append(issue)
except Exception:
# Skip malformed files
continue
return issues
def _read_issue_file(self, file_path: Path) -> Issue:
"""Read issue from markdown file with YAML frontmatter."""
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
# Split frontmatter and body
if content.startswith('---\n'):
try:
parts = content.split('---\n', 2)
if len(parts) >= 3:
frontmatter = yaml.safe_load(parts[1])
body = parts[2].strip()
else:
frontmatter = {}
body = content
except yaml.YAMLError:
raise yaml.YAMLError(f"Invalid YAML in {file_path}")
else:
frontmatter = {}
body = content
# Convert string labels to Label objects
label_objects = []
for label in frontmatter.get('labels', []):
if isinstance(label, str):
label_objects.append(Label(name=label))
else:
label_objects.append(label)
# Map state string to IssueState enum
state_str = frontmatter.get('state', 'open')
issue_state = IssueState.OPEN if state_str == 'open' else IssueState.CLOSED
# Create Issue object
issue = Issue(
number=frontmatter.get('number', 0),
title=frontmatter.get('title', ''),
state=issue_state,
labels=label_objects,
created_at=datetime.fromisoformat(frontmatter.get('created_at', datetime.now().isoformat())),
updated_at=datetime.fromisoformat(frontmatter.get('updated_at', datetime.now().isoformat())),
assignee=frontmatter.get('assignee'),
milestone=frontmatter.get('milestone')
)
# Store body separately since domain model doesn't have it
issue._body = body
return issue
def get_issue(self, issue_id: str) -> Issue:
"""Get specific issue by ID."""
file_path = self._find_issue_file(issue_id)
if not file_path:
raise FileNotFoundError(f"Issue {issue_id} not found")
return self._read_issue_file(file_path)
def _find_issue_file(self, issue_id: str) -> Optional[Path]:
"""Find issue file in open or closed directories."""
# Convert issue_id to 3-digit format to match filename pattern
issue_num = f"{int(issue_id):03d}"
pattern = f"{issue_num}-*.md"
# Search in open directory
for file_path in (self.issues_dir / 'open').glob(pattern):
return file_path
# Search in closed directory
for file_path in (self.issues_dir / 'closed').glob(pattern):
return file_path
return None
def create_issue(self, title: str, body: str, **kwargs) -> Issue:
"""Create new issue as local file."""
issue_number = self.local_config.get('next_issue_number', 1)
# Convert string labels to Label objects
label_objects = []
for label in kwargs.get('labels', []):
if isinstance(label, str):
label_objects.append(Label(name=label))
else:
label_objects.append(label)
# Create Issue object
issue = Issue(
number=issue_number,
title=title,
state=IssueState.OPEN,
labels=label_objects,
created_at=datetime.now(),
updated_at=datetime.now(),
assignee=kwargs.get('assignee'),
milestone=kwargs.get('milestone')
)
# Store body separately since domain model doesn't have it
issue._body = body # Temporary storage for body content
# Write to file
self._write_issue_file(issue, self.issues_dir / 'open')
# Update counter
self.local_config['next_issue_number'] = issue_number + 1
self._save_local_config()
# Git integration
if self.auto_git:
self._git_add_and_commit(f"Create issue #{issue_number}: {title}")
return issue
def _write_issue_file(self, issue: Issue, directory: Path):
"""Write issue to markdown file with YAML frontmatter."""
filename = self._generate_filename(issue)
file_path = directory / filename
# Convert Label objects to strings for YAML
label_names = [label.name for label in issue.labels]
# Prepare frontmatter
frontmatter = {
'number': issue.number,
'title': issue.title,
'state': issue.state.value,
'created_at': issue.created_at.isoformat(),
'updated_at': issue.updated_at.isoformat(),
'labels': label_names,
'assignee': issue.assignee,
'milestone': issue.milestone
}
# Write file
with open(file_path, 'w', encoding='utf-8') as f:
f.write('---\n')
yaml.dump(frontmatter, f, default_flow_style=False)
f.write('---\n\n')
f.write(getattr(issue, '_body', ''))
def _generate_filename(self, issue: Issue) -> str:
"""Generate safe filename from issue."""
# Sanitize title for filename
safe_title = re.sub(r'[^\w\s-]', '', issue.title.lower())
safe_title = re.sub(r'[\s_-]+', '-', safe_title)
safe_title = safe_title.strip('-')[:50] # Limit length
return f"{issue.number:03d}-{safe_title}.md"
def add_comment(self, issue_id: str, comment: str) -> Dict[str, Any]:
"""Add comment to local issue file."""
if not comment.strip():
raise ValueError("Comment cannot be empty")
if not issue_id.strip():
raise ValueError("Issue ID cannot be empty")
# For now, return mock comment data
# Full implementation would append to issue file
return {
'id': f"comment_{datetime.now().timestamp()}",
'body': comment,
'timestamp': datetime.now().isoformat()
}
def close_issue(self, issue_id: str) -> Issue:
"""Close issue by moving to closed directory."""
return self.update_issue(issue_id, state=IssueState.CLOSED)
def update_issue(self, issue_id: str, **kwargs) -> Issue:
"""Update issue properties."""
file_path = self._find_issue_file(issue_id)
if not file_path:
raise FileNotFoundError(f"Issue {issue_id} not found")
# Read current issue
issue = self._read_issue_file(file_path)
# Update properties
for key, value in kwargs.items():
if hasattr(issue, key):
setattr(issue, key, value)
# Handle state change (move file if needed)
old_state = 'open' if 'open' in str(file_path) else 'closed'
new_state_obj = kwargs.get('state', issue.state)
new_state = new_state_obj.value if hasattr(new_state_obj, 'value') else str(new_state_obj)
if new_state != old_state:
# Remove old file
file_path.unlink()
# Write to new directory
new_directory = self.issues_dir / new_state
self._write_issue_file(issue, new_directory)
else:
# Update existing file
self._write_issue_file(issue, file_path.parent)
# Git integration
if self.auto_git:
self._git_add_and_commit(f"Update issue #{issue.number}")
return issue
def _git_add_and_commit(self, message: str):
"""Add and commit changes to git."""
try:
subprocess.run(['git', 'add', str(self.issues_dir)],
cwd='.', check=True, capture_output=True)
subprocess.run(['git', 'commit', '-m', message],
cwd='.', check=True, capture_output=True)
except (subprocess.CalledProcessError, FileNotFoundError):
# Git not available or not a git repo, ignore
pass

View File

@@ -16,7 +16,7 @@ from typing import Dict, Any
from markitect.plugins.base import CommandPlugin, PluginMetadata, PluginType
from markitect.plugins.decorators import register_plugin
from markitect.document_manager import DocumentManager
# DocumentManager removed - using CleanDocumentManager directly
from markitect.serializer import ASTSerializer
@@ -1533,7 +1533,7 @@ def md_ingest_command(ctx, file_path):
doc_manager = DocumentManager(config.get('db_manager'))
# Process the file
result = doc_manager.ingest_file(file_path)
result = doc_manager.ingest_file(Path(file_path))
if config.get('verbose', False):
click.echo(f"Processing results:")
@@ -1659,7 +1659,7 @@ def md_list_command(ctx, output_format, names_only):
@click.option('--css', type=click.Path(),
help='Custom CSS file to include')
@click.option('--edit', is_flag=True,
help='Open in live edit mode with preview')
help='Open in interactive edit mode with stable section editing')
@click.option('--editor-theme', default='github',
type=click.Choice(['github', 'monokai', 'tomorrow', 'dark']),
help='Editor theme for live edit mode (default: github)')
@@ -1704,17 +1704,20 @@ def md_render_command(ctx, input_file, output, template, css, edit, editor_theme
ensure_publication_directory(pub_dir)
output_path = pub_dir / get_output_filename(input_path)
# Initialize document manager
doc_manager = DocumentManager(config.get('db_manager'))
# Initialize clean document manager
from markitect.clean_document_manager import CleanDocumentManager
doc_manager = CleanDocumentManager(config.get('db_manager'))
# Render the file
if edit:
# Live edit mode - generate HTML with editing capabilities
# Edit mode - generate HTML with editing capabilities
result = doc_manager.render_file(input_file, str(output_path),
template=template, css=css,
edit_mode=True, editor_theme=editor_theme,
edit_mode=True,
editor_theme=editor_theme,
keyboard_shortcuts=keyboard_shortcuts)
click.echo(f"✓ Rendered with editing capabilities to: {output_path}")
click.echo(f"✓ Rendered with interactive editing capabilities to: {output_path}")
if config.get('verbose', False):
click.echo(f"Editor theme: {editor_theme}")
@@ -2980,4 +2983,6 @@ class FilenameDecoder:
def decode_batch(self, filenames):
"""Process multiple filenames in batch."""
return [self.decode(filename) for filename in filenames]
return [self.decode(filename) for filename in filenames]

View File

View File

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
[project]
name = "markitect"
version = "0.2.0"
version = "0.5.0"
description = "Advanced Markdown engine for structured content"
readme = "README.md"
requires-python = ">=3.8"

View File

@@ -1,178 +0,0 @@
"""
Issue service - business logic for issue operations.
"""
from typing import List, Dict, Any, Optional
from datetime import datetime
from tddai import IssueFetcher, TddaiError
from tddai.issue_creator import IssueCreator
from gitea.models import Issue, Priority
class IssueService:
"""Service for issue operations."""
def __init__(self):
self.issue_fetcher = IssueFetcher()
self.issue_creator = IssueCreator()
def get_issue(self, issue_number: int) -> Issue:
"""Get a specific issue by number."""
return self.issue_fetcher.fetch_issue(issue_number)
def list_issues(self, state: str = "all") -> List[Issue]:
"""List issues with optional state filter."""
return self.issue_fetcher.fetch_issues(state)
def list_open_issues(self) -> List[Issue]:
"""List only open issues."""
return self.issue_fetcher.fetch_open_issues()
def create_issue(self, title: str, body: str, **kwargs) -> Dict[str, Any]:
"""Create a new issue."""
return self.issue_creator.create_issue(title, body, **kwargs)
def create_enhancement_issue(self, title: str, use_case: str,
technical_requirements: str = "",
acceptance_criteria: Optional[List[str]] = None,
dependencies: Optional[List[str]] = None,
priority: str = "Medium") -> Dict[str, Any]:
"""Create a structured enhancement issue."""
return self.issue_creator.create_enhancement_issue(
title, use_case, technical_requirements,
acceptance_criteria, dependencies, priority
)
def create_from_template(self, template_file: str, **kwargs) -> Dict[str, Any]:
"""Create issue from template file."""
return self.issue_creator.create_from_template(template_file, **kwargs)
def close_issue(self, issue_number: int, comment: str = "") -> Dict[str, Any]:
"""Close an issue with optional comment."""
from gitea import GiteaClient, GiteaConfig
from tddai.config import get_config
import os
# Get config and create Gitea client
config = get_config()
gitea_config = GiteaConfig.from_tddai_config(config)
auth_token = os.getenv('GITEA_API_TOKEN')
if auth_token:
gitea_config.auth_token = auth_token
gitea_client = GiteaClient(gitea_config)
# Close the issue
issue = gitea_client.issues.close(issue_number)
# If comment provided, add it (this would need API support for comments)
# For now, we'll just close the issue
# Convert to dict format for consistency
return gitea_client.issues.to_dict(issue)
def get_issue_details(self, issue_number: int) -> Dict[str, Any]:
"""Get comprehensive issue details for display purposes."""
issue = self.get_issue(issue_number)
# Get additional project management information
from tddai.project_manager import ProjectManager
project_mgr = ProjectManager()
# Get detailed issue data via API for milestone and project information
from tddai.config import get_config
config = get_config()
issue_url = f"{config.issues_api_url}/{issue_number}"
detailed_issue = project_mgr._make_api_call('GET', issue_url)
# Process labels
labels = detailed_issue.get('labels', [])
state_labels = [l['name'] for l in labels if l['name'].startswith('status:')]
priority_labels = [l['name'] for l in labels if l['name'].startswith('priority:')]
type_labels = [l['name'] for l in labels if l['name'].startswith('type:')]
other_labels = [l['name'] for l in labels if not any(l['name'].startswith(p) for p in ['status:', 'priority:', 'type:'])]
# Determine project column/state
if detailed_issue.get('state') == 'closed':
if any(l['name'] == 'status:done' for l in labels):
column = "Done"
else:
column = "Closed"
else:
state_labels = [l['name'] for l in labels if l['name'].startswith('status:')]
if state_labels:
state = state_labels[0].replace('status:', '')
column_map = {
'todo': 'Todo',
'active': 'Active',
'review': 'Review',
'blocked': 'Blocked'
}
column = column_map.get(state, 'Todo')
else:
column = "Todo"
return {
'number': issue.number,
'title': issue.title,
'body': issue.body,
'state': issue.state,
'created_at': issue.created_at,
'updated_at': issue.updated_at,
'html_url': issue.html_url,
'assignee': issue.assignee.login if issue.assignee else None,
'milestone': detailed_issue.get('milestone'),
'state_label': state_labels[0].replace('status:', '').title() if state_labels else "No state label",
'priority_label': priority_labels[0].replace('priority:', '').title() if priority_labels else "No priority set",
'type_labels': [l.replace('type:', '').title() for l in type_labels],
'other_labels': other_labels,
'kanban_column': column
}
def get_issue_summary(self, issue_number: int) -> Dict[str, Any]:
"""Get issue summary for display purposes."""
issue = self.get_issue(issue_number)
return {
'number': issue.number,
'title': issue.title,
'body': issue.body,
'state': issue.state,
'priority': issue.priority,
'status': issue.status,
'created_at': issue.created_at,
'updated_at': issue.updated_at,
'html_url': issue.html_url,
'assignee': issue.assignee.login if issue.assignee else None,
'labels': [label.name for label in issue.labels],
'has_milestone': issue.milestone is not None,
'milestone_title': issue.milestone.title if issue.milestone else None
}
def analyze_coverage(self, issue_number: int) -> Dict[str, Any]:
"""Analyze test coverage for a specific issue.
Args:
issue_number: The issue number to analyze
Returns:
Coverage analysis data for the issue
Raises:
IssueError: When coverage analysis fails
"""
from tddai.coverage_analyzer import CoverageAnalyzer
analyzer = CoverageAnalyzer()
assessment = analyzer.analyze_issue_coverage(issue_number)
return {
'issue_number': assessment.issue_number,
'issue_title': assessment.issue_title,
'coverage_percentage': assessment.coverage_percentage,
'requirements': assessment.requirements,
'existing_tests': assessment.existing_tests,
'coverage_gaps': assessment.coverage_gaps,
'recommendations': assessment.recommendations
}

View File

@@ -1,76 +0,0 @@
"""
Project service - business logic for project management operations.
"""
from typing import List, Dict, Any, Optional
from tddai.project_manager import ProjectManager, ProjectState, Priority, Milestone, Label
from tddai import TddaiError
class ProjectService:
"""Service for project management operations."""
def __init__(self):
self.project_manager = ProjectManager()
def setup_project_management(self) -> None:
"""Setup project management labels and structure."""
self.project_manager.ensure_project_labels()
def create_milestone(self, title: str, description: str = "", due_date: Optional[str] = None) -> Milestone:
"""Create a new milestone (project)."""
return self.project_manager.create_milestone(title, description, due_date)
def list_milestones(self, state: str = "open") -> List[Milestone]:
"""List milestones."""
return self.project_manager.list_milestones(state)
def list_labels(self) -> List[Label]:
"""List repository labels."""
return self.project_manager.list_labels()
def set_issue_state(self, issue_number: int, state_name: str) -> Dict[str, Any]:
"""Set issue project state."""
# Convert string to ProjectState enum
state_map = {
'todo': ProjectState.TODO,
'active': ProjectState.ACTIVE,
'review': ProjectState.REVIEW,
'done': ProjectState.DONE,
'blocked': ProjectState.BLOCKED
}
if state_name not in state_map:
raise TddaiError(f"Invalid state '{state_name}'. Valid states: {list(state_map.keys())}")
project_state = state_map[state_name]
return self.project_manager.set_issue_state(issue_number, project_state)
def set_issue_priority(self, issue_number: int, priority_name: str) -> Dict[str, Any]:
"""Set issue priority."""
# Convert string to Priority enum
priority_map = {
'low': Priority.LOW,
'medium': Priority.MEDIUM,
'high': Priority.HIGH,
'critical': Priority.CRITICAL
}
if priority_name not in priority_map:
raise TddaiError(f"Invalid priority '{priority_name}'. Valid priorities: {list(priority_map.keys())}")
priority_level = priority_map[priority_name]
return self.project_manager.set_issue_priority(issue_number, priority_level)
def move_issue_to_done(self, issue_number: int) -> Dict[str, Any]:
"""Move issue to done state and close it."""
return self.project_manager.move_issue_to_done(issue_number)
def assign_issue_to_milestone(self, issue_number: int, milestone_id: int) -> Dict[str, Any]:
"""Assign issue to a milestone."""
return self.project_manager.assign_issue_to_milestone(issue_number, milestone_id)
def get_project_overview(self) -> Dict[str, Any]:
"""Get project management overview."""
return self.project_manager.get_project_overview()

View File

@@ -1,116 +0,0 @@
"""
Workspace service - business logic for TDD workspace operations.
"""
from typing import Optional, Dict, Any
from pathlib import Path
from tddai import WorkspaceManager, IssueFetcher, WorkspaceStatus, TddaiError
class WorkspaceInfo:
"""Value object for workspace information."""
def __init__(self, status: WorkspaceStatus, workspace=None):
self.status = status
self.workspace = workspace
@property
def is_clean(self) -> bool:
return self.status == WorkspaceStatus.CLEAN
@property
def is_dirty(self) -> bool:
return self.status == WorkspaceStatus.DIRTY
@property
def is_active(self) -> bool:
return self.status == WorkspaceStatus.ACTIVE
def get_test_files(self) -> list:
"""Get list of test files in workspace."""
if not self.workspace or not self.workspace.tests_dir.exists():
return []
return list(self.workspace.tests_dir.glob("*.py"))
class WorkspaceService:
"""Service for workspace operations."""
def __init__(self):
self.workspace_manager = WorkspaceManager()
self.issue_fetcher = IssueFetcher()
def get_workspace_info(self) -> WorkspaceInfo:
"""Get current workspace information."""
status = self.workspace_manager.get_status()
workspace = None
if status == WorkspaceStatus.ACTIVE:
workspace = self.workspace_manager.get_current_workspace()
return WorkspaceInfo(status, workspace)
def start_issue_workspace(self, issue_number: int) -> WorkspaceInfo:
"""Start working on an issue.
Returns:
WorkspaceInfo with the created workspace
Raises:
TddaiError: If workspace already active or issue cannot be fetched
"""
# Check if workspace already active
current_info = self.get_workspace_info()
if current_info.is_active:
raise TddaiError(f"Already working on issue #{current_info.workspace.issue_number}")
# Fetch issue data
issue_data = self.issue_fetcher.get_issue_data_dict(issue_number)
# Create workspace
workspace = self.workspace_manager.create_workspace(issue_data)
return WorkspaceInfo(WorkspaceStatus.ACTIVE, workspace)
def finish_current_workspace(self) -> Optional[int]:
"""Finish current workspace and return the issue number.
Returns:
Issue number that was finished, or None if no active workspace
Raises:
TddaiError: If workspace operations fail
"""
current_info = self.get_workspace_info()
if not current_info.is_active:
return None
issue_number = current_info.workspace.issue_number
self.workspace_manager.finish_workspace()
return issue_number
def get_workspace_summary(self) -> Dict[str, Any]:
"""Get workspace summary for display purposes."""
info = self.get_workspace_info()
summary = {
'status': info.status,
'active': info.is_active,
'clean': info.is_clean,
'dirty': info.is_dirty
}
if info.workspace:
test_files = info.get_test_files()
summary.update({
'issue_number': info.workspace.issue_number,
'issue_title': info.workspace.issue_title,
'issue_state': info.workspace.issue_state,
'workspace_dir': str(info.workspace.workspace_dir),
'test_count': len(test_files),
'test_files': [f.name for f in test_files],
'requirements_file': str(info.workspace.requirements_file),
'test_plan_file': str(info.workspace.test_plan_file)
})
return summary

View File

@@ -1,13 +0,0 @@
#!/bin/bash
# TDDAi environment setup for MarkiTect project
# Source this file to configure tddai for this specific project
export TDDAI_WORKSPACE_DIR=.markitect_workspace
export TDDAI_GITEA_URL=http://92.205.130.254:32166
export TDDAI_REPO_OWNER=coulomb
export TDDAI_REPO_NAME=markitect_project
echo "✅ TDDAi configured for MarkiTect project"
echo " Workspace: $TDDAI_WORKSPACE_DIR"
echo " Repository: $TDDAI_REPO_OWNER/$TDDAI_REPO_NAME"
echo " URL: $TDDAI_GITEA_URL"

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@@ -1,37 +0,0 @@
"""
tddai - Test-Driven Development with AI Support
A Python library for managing issue-driven TDD workflows with AI assistance.
Provides workspace management, test generation, and issue integration.
"""
from .workspace import WorkspaceManager, Workspace, WorkspaceStatus
from .issue_fetcher import IssueFetcher, Issue
from .issue_creator import IssueCreator
from .project_manager import ProjectManager, ProjectState, Priority
from .test_generator import TestGenerator
from .coverage_analyzer import CoverageAnalyzer, CoverageAssessment, TestRequirement, CoverageGap
from .exceptions import TddaiError, WorkspaceError, IssueError, ConfigurationError, TestGenerationError
__version__ = "0.1.0"
__all__ = [
"WorkspaceManager",
"Workspace",
"WorkspaceStatus",
"IssueFetcher",
"Issue",
"IssueCreator",
"ProjectManager",
"ProjectState",
"Priority",
"TestGenerator",
"CoverageAnalyzer",
"CoverageAssessment",
"TestRequirement",
"CoverageGap",
"TddaiError",
"WorkspaceError",
"IssueError",
"ConfigurationError",
"TestGenerationError",
]

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@@ -1,171 +0,0 @@
"""
Configuration management for tddai.
DEPRECATED: This module is kept for backward compatibility only.
New code should use the unified configuration system in the `config` module.
The tddai framework is project-agnostic and can be configured per project
via environment variables:
- TDDAI_WORKSPACE_DIR: Workspace directory name (default: .tddai_workspace)
- TDDAI_GITEA_URL: Git platform URL
- TDDAI_REPO_OWNER: Repository owner/organization
- TDDAI_REPO_NAME: Repository name
Example .env file for a project:
```
TDDAI_WORKSPACE_DIR=.myproject_workspace
TDDAI_GITEA_URL=https://github.com
TDDAI_REPO_OWNER=myusername
TDDAI_REPO_NAME=myproject
```
"""
import os
from pathlib import Path
from typing import Optional
from dataclasses import dataclass
from .exceptions import ConfigurationError
# Import unified configuration system
try:
from config import get_tddai_config as _get_unified_tddai_config
_UNIFIED_CONFIG_AVAILABLE = True
except ImportError:
_UNIFIED_CONFIG_AVAILABLE = False
def load_dotenv_file(env_file: Path) -> None:
"""Load environment variables from a .env file.
DEPRECATED: Use config.loaders.load_env_file() instead.
"""
if not env_file.exists():
return
with open(env_file, 'r') as f:
for line in f:
line = line.strip()
if line and not line.startswith('#') and '=' in line:
key, value = line.split('=', 1)
os.environ.setdefault(key.strip(), value.strip())
@dataclass
class TddaiConfig:
"""Configuration settings for tddai.
DEPRECATED: Use config.TddaiConfigCompat instead.
"""
# Workspace settings
workspace_dir: Path = Path(".tddai_workspace")
current_issue_file: str = "current_issue.json"
# Git repository settings (must be configured per project)
gitea_url: str = ""
repo_owner: str = ""
repo_name: str = ""
# Test settings
tests_dir: Path = Path("tests")
test_file_pattern: str = "test_issue_{issue_num}_{scenario}.py"
# AI settings
claude_code_command: str = "claude"
@property
def issues_api_url(self) -> str:
"""Get the full issues API URL."""
return f"{self.gitea_url}/api/v1/repos/{self.repo_owner}/{self.repo_name}/issues"
@property
def current_issue_path(self) -> Path:
"""Get the path to current issue file."""
return self.workspace_dir / self.current_issue_file
@classmethod
def from_environment(cls) -> "TddaiConfig":
"""Create config from environment variables and .env files."""
# Auto-load .env.tddai file if it exists
env_file = Path(".env.tddai")
load_dotenv_file(env_file)
config = cls()
# Override with environment variables if present
gitea_url = os.getenv("TDDAI_GITEA_URL")
if gitea_url:
config.gitea_url = gitea_url
repo_owner = os.getenv("TDDAI_REPO_OWNER")
if repo_owner:
config.repo_owner = repo_owner
repo_name = os.getenv("TDDAI_REPO_NAME")
if repo_name:
config.repo_name = repo_name
workspace_dir = os.getenv("TDDAI_WORKSPACE_DIR")
if workspace_dir:
config.workspace_dir = Path(workspace_dir)
return config
def validate(self) -> None:
"""Validate configuration settings."""
if not self.gitea_url:
raise ConfigurationError("gitea_url cannot be empty")
if not self.repo_owner:
raise ConfigurationError("repo_owner cannot be empty")
if not self.repo_name:
raise ConfigurationError("repo_name cannot be empty")
# Global config instance
_config: Optional[TddaiConfig] = None
def get_config() -> TddaiConfig:
"""Get the global configuration instance.
DEPRECATED: Use config.get_tddai_config() instead for new code.
This function maintains backward compatibility.
"""
global _config
if _config is None:
if _UNIFIED_CONFIG_AVAILABLE:
# Use unified configuration system if available
try:
unified_config = _get_unified_tddai_config()
_config = TddaiConfig(
workspace_dir=unified_config.workspace_dir,
gitea_url=unified_config.gitea_url,
repo_owner=unified_config.repo_owner,
repo_name=unified_config.repo_name,
tests_dir=unified_config.tests_dir,
test_file_pattern=unified_config.test_file_pattern,
claude_code_command=unified_config.claude_code_command
)
return _config
except Exception:
# Fall back to legacy behavior if unified config fails
pass
# Legacy fallback
_config = TddaiConfig.from_environment()
_config.validate()
return _config
def set_config(config: TddaiConfig) -> None:
"""Set the global configuration instance.
DEPRECATED: Use the unified configuration system instead.
"""
global _config
config.validate()
_config = config

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@@ -1,430 +0,0 @@
"""
Test coverage analyzer for issues.
This module analyzes issues and existing tests to identify gaps in functional test coverage.
"""
import json
import re
from pathlib import Path
from typing import Dict, List, Set, Tuple, Optional
from dataclasses import dataclass
from .issue_fetcher import IssueFetcher
from .config import get_config
@dataclass
class TestRequirement:
"""Represents a test requirement extracted from an issue."""
category: str
description: str
priority: str # "critical", "important", "nice-to-have"
keywords: List[str]
@dataclass
class ExistingTest:
"""Represents an existing test file and its coverage."""
file_path: Path
test_methods: List[str]
coverage_keywords: Set[str]
related_issue: Optional[int] = None
@dataclass
class CoverageGap:
"""Represents a gap in test coverage."""
requirement: TestRequirement
suggested_test_name: str
suggested_test_file: str
example_test: str
@dataclass
class CoverageAssessment:
"""Complete coverage assessment for an issue."""
issue_number: int
issue_title: str
requirements: List[TestRequirement]
existing_tests: List[ExistingTest]
coverage_gaps: List[CoverageGap]
coverage_percentage: float
recommendations: List[str]
class CoverageAnalyzer:
"""Analyzes test coverage for issues."""
def __init__(self, config=None):
self.config = config or get_config()
self.issue_fetcher = IssueFetcher(self.config)
def analyze_issue_coverage(self, issue_number: int) -> CoverageAssessment:
"""Analyze test coverage for a specific issue."""
# Fetch issue details
issue_data = self.issue_fetcher.fetch_issue(issue_number)
# Extract test requirements from issue
requirements = self._extract_requirements(issue_data)
# Find existing tests
existing_tests = self._find_existing_tests(issue_number)
# Identify coverage gaps
coverage_gaps = self._identify_gaps(requirements, existing_tests)
# Calculate coverage percentage
coverage_percentage = self._calculate_coverage(requirements, existing_tests)
# Generate recommendations
recommendations = self._generate_recommendations(issue_data, coverage_gaps)
return CoverageAssessment(
issue_number=issue_number,
issue_title=issue_data.title if hasattr(issue_data, 'title') else issue_data.get('title', ''),
requirements=requirements,
existing_tests=existing_tests,
coverage_gaps=coverage_gaps,
coverage_percentage=coverage_percentage,
recommendations=recommendations
)
def _extract_requirements(self, issue_data) -> List[TestRequirement]:
"""Extract test requirements from issue description."""
requirements = []
# Handle both dict and Issue object
if hasattr(issue_data, 'body'):
description = issue_data.body + ' ' + issue_data.title
else:
description = issue_data.get('body', '') + ' ' + issue_data.get('title', '')
# Define requirement patterns with priorities
requirement_patterns = [
# Critical functionality patterns
(r'user can\s+([^.]+)', 'critical', 'user_functionality'),
(r'must\s+([^.]+)', 'critical', 'requirement'),
(r'should\s+([^.]+)', 'important', 'requirement'),
(r'example:\s*([^.]+)', 'important', 'example_scenario'),
# API/Interface patterns
(r'(create|generate|parse|validate|convert|process)\s+([^.]+)', 'critical', 'core_function'),
(r'(read|store|save|load|retrieve|fetch)\s+([^.]+)', 'critical', 'data_operation'),
(r'(input|output|parameter|argument):\s*([^.]+)', 'important', 'io_validation'),
(r'(returns?|outputs?)\s+([^.]+)', 'important', 'output_validation'),
# Data operations - common in simple issues
(r'(file|database|storage|content)\s+([^.]+)', 'important', 'data_handling'),
(r'(schema|json|markdown|ast)\s+([^.]+)', 'important', 'format_handling'),
# Error handling patterns
(r'(error|exception|fail|invalid)\s+([^.]+)', 'important', 'error_handling'),
(r'edge case:\s*([^.]+)', 'important', 'edge_case'),
# Performance/behavior patterns
(r'(performance|speed|memory|optimization)\s+([^.]+)', 'nice-to-have', 'performance'),
(r'(depth|level|nesting)\s+([^.]+)', 'important', 'structural'),
]
# Extract requirements based on patterns
for pattern, priority, category in requirement_patterns:
matches = re.finditer(pattern, description, re.IGNORECASE)
for match in matches:
requirement_text = match.group(1) if match.groups() else match.group(0)
keywords = self._extract_keywords(requirement_text)
requirements.append(TestRequirement(
category=category,
description=requirement_text.strip(),
priority=priority,
keywords=keywords
))
# Add enhanced requirements if few found (especially for simple issues)
if len(requirements) <= 2:
title = issue_data.title if hasattr(issue_data, 'title') else issue_data.get('title', '')
# Extract more detailed requirements from title
title_words = title.lower().split()
# Add basic functionality requirement
requirements.append(TestRequirement(
category='basic_functionality',
description=f'Basic functionality: {title}',
priority='critical',
keywords=self._extract_keywords(title)
))
# Add specific requirements based on title analysis
if any(word in title_words for word in ['read', 'load', 'fetch', 'get']):
requirements.append(TestRequirement(
category='input_validation',
description='Input validation and file reading',
priority='critical',
keywords=['read', 'input', 'validation', 'file']
))
if any(word in title_words for word in ['store', 'save', 'write', 'database']):
requirements.append(TestRequirement(
category='storage_operation',
description='Data storage and persistence',
priority='critical',
keywords=['store', 'save', 'database', 'persistence']
))
if any(word in title_words for word in ['schema', 'json', 'format']):
requirements.append(TestRequirement(
category='format_handling',
description='Schema/format validation and processing',
priority='important',
keywords=['schema', 'json', 'format', 'validation']
))
# Add error handling requirement for all functionality
requirements.append(TestRequirement(
category='error_handling',
description='Error handling and edge cases',
priority='important',
keywords=['error', 'exception', 'validation', 'edge']
))
return requirements
def _extract_keywords(self, text: str) -> List[str]:
"""Extract relevant keywords from text."""
# Common technical keywords
keywords = []
text_lower = text.lower()
# Extract nouns and verbs that are likely important
important_patterns = [
r'\b(schema|json|markdown|ast|parse|generate|create|validate|convert|transform)\b',
r'\b(file|document|content|structure|element|heading|list|depth|level)\b',
r'\b(input|output|parameter|argument|result|data|format)\b',
r'\b(error|exception|validation|check|verify|ensure)\b'
]
for pattern in important_patterns:
matches = re.findall(pattern, text_lower)
keywords.extend(matches)
return list(set(keywords)) # Remove duplicates
def _find_existing_tests(self, issue_number: int) -> List[ExistingTest]:
"""Find existing tests related to the issue."""
existing_tests = []
tests_dir = Path('tests')
if not tests_dir.exists():
return existing_tests
# Find tests that mention the issue number
issue_patterns = [
f'test_issue_{issue_number}',
f'issue_{issue_number}',
f'#{issue_number}',
f'issue {issue_number}'
]
for test_file in tests_dir.glob('test_*.py'):
try:
content = test_file.read_text()
test_methods = self._extract_test_methods(content)
coverage_keywords = self._extract_coverage_keywords(content)
# Check if this test file is related to the issue
related_issue = None
for pattern in issue_patterns:
if pattern in content.lower():
related_issue = issue_number
break
existing_tests.append(ExistingTest(
file_path=test_file,
test_methods=test_methods,
coverage_keywords=coverage_keywords,
related_issue=related_issue
))
except (OSError, IOError, UnicodeDecodeError) as e:
# Skip files that can't be read due to file system or encoding issues
# Log the issue but continue processing other files
from infrastructure.logging import get_logger
logger = get_logger(__name__)
logger.warning(
f"Could not read test file {test_file}: {e}"
)
continue
except Exception as e:
# Unexpected errors should be logged but not silently ignored
from infrastructure.logging import get_logger
logger = get_logger(__name__)
logger.error(
f"Unexpected error processing test file {test_file}: {e}",
exc_info=True
)
continue
return existing_tests
def _extract_test_methods(self, content: str) -> List[str]:
"""Extract test method names from test file content."""
pattern = r'def\s+(test_[a-zA-Z_0-9]+)\s*\('
return re.findall(pattern, content)
def _extract_coverage_keywords(self, content: str) -> Set[str]:
"""Extract keywords that indicate what functionality is being tested."""
keywords = set()
content_lower = content.lower()
# Extract from test method names and docstrings
test_patterns = [
r'def\s+test_([a-zA-Z_0-9]+)',
r'"""([^"]+)"""',
r"'''([^']+)'''",
r'#\s*([^\n]+)'
]
for pattern in test_patterns:
matches = re.findall(pattern, content_lower)
for match in matches:
keywords.update(self._extract_keywords(match))
return keywords
def _identify_gaps(self, requirements: List[TestRequirement],
existing_tests: List[ExistingTest]) -> List[CoverageGap]:
"""Identify gaps between requirements and existing tests."""
gaps = []
# Get all covered keywords from existing tests
covered_keywords = set()
for test in existing_tests:
covered_keywords.update(test.coverage_keywords)
for requirement in requirements:
# Check if requirement is covered by existing tests
requirement_keywords = set(requirement.keywords)
if requirement_keywords:
coverage_overlap = requirement_keywords.intersection(covered_keywords)
# If less than 50% of keywords are covered, consider it a gap
coverage_ratio = len(coverage_overlap) / len(requirement_keywords)
if coverage_ratio < 0.5:
gap = self._create_coverage_gap(requirement)
gaps.append(gap)
else:
# If no keywords could be extracted, always consider it a gap
# (This prevents false positives where we can't determine coverage)
gap = self._create_coverage_gap(requirement)
gaps.append(gap)
return gaps
def _create_coverage_gap(self, requirement: TestRequirement) -> CoverageGap:
"""Create a coverage gap with suggestions."""
# Generate suggested test name
category_clean = requirement.category.replace('_', ' ').title().replace(' ', '')
suggested_name = f"test_{requirement.category}"
# Generate suggested file name
suggested_file = f"tests/test_{requirement.category}.py"
# Generate example test
example_test = self._generate_example_test(requirement)
return CoverageGap(
requirement=requirement,
suggested_test_name=suggested_name,
suggested_test_file=suggested_file,
example_test=example_test
)
def _generate_example_test(self, requirement: TestRequirement) -> str:
"""Generate an example test for a requirement."""
method_name = f"test_{requirement.category}"
return f'''def {method_name}(self):
"""Test {requirement.description}."""
# Arrange
# TODO: Set up test data for {requirement.description}
# Act
# TODO: Execute the functionality: {requirement.description}
# Assert
# TODO: Verify the expected behavior
assert True # Replace with actual assertions'''
def _calculate_coverage(self, requirements: List[TestRequirement],
existing_tests: List[ExistingTest]) -> float:
"""Calculate coverage percentage."""
if not requirements:
return 100.0
covered_requirements = 0
total_requirements = len(requirements)
# Get all covered keywords
covered_keywords = set()
issue_related_tests = []
for test in existing_tests:
if test.related_issue: # Only count tests specifically for this issue
covered_keywords.update(test.coverage_keywords)
issue_related_tests.append(test)
# If no issue-specific tests found, coverage should be 0%
if not issue_related_tests:
return 0.0
# Check coverage for each requirement
for requirement in requirements:
requirement_keywords = set(requirement.keywords)
if requirement_keywords:
# Need actual keyword overlap for coverage
coverage_ratio = len(requirement_keywords.intersection(covered_keywords)) / len(requirement_keywords)
if coverage_ratio >= 0.5: # Consider 50%+ keyword coverage as "covered"
covered_requirements += 1
else:
# If no keywords extracted, this requirement is NOT covered
# (This prevents false positives for untested functionality)
pass
return (covered_requirements / total_requirements) * 100 if total_requirements > 0 else 0.0
def _generate_recommendations(self, issue_data: Dict, gaps: List[CoverageGap]) -> List[str]:
"""Generate recommendations for improving test coverage."""
recommendations = []
if not gaps:
recommendations.append("✅ Good test coverage! All major requirements appear to be tested.")
return recommendations
# Prioritize recommendations by requirement priority
critical_gaps = [g for g in gaps if g.requirement.priority == 'critical']
important_gaps = [g for g in gaps if g.requirement.priority == 'important']
nice_gaps = [g for g in gaps if g.requirement.priority == 'nice-to-have']
if critical_gaps:
recommendations.append(f"🚨 CRITICAL: {len(critical_gaps)} critical requirements lack test coverage")
for gap in critical_gaps:
recommendations.append(f" - Add test for: {gap.requirement.description}")
if important_gaps:
recommendations.append(f"⚠️ IMPORTANT: {len(important_gaps)} important requirements need tests")
for gap in important_gaps[:3]: # Show top 3
recommendations.append(f" - Test needed: {gap.requirement.description}")
if nice_gaps:
recommendations.append(f"💡 ENHANCEMENT: {len(nice_gaps)} additional tests would improve coverage")
# Add specific recommendations
recommendations.append("📝 Recommended actions:")
issue_num = issue_data.number if hasattr(issue_data, 'number') else issue_data.get('number', 'X')
recommendations.append(f" 1. Use 'make tdd-start NUM={issue_num}' to create workspace")
recommendations.append(" 2. Use 'make tdd-add-test' to generate missing tests")
recommendations.append(" 3. Focus on critical requirements first")
return recommendations

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@@ -1,28 +0,0 @@
"""
Custom exceptions for tddai library.
"""
class TddaiError(Exception):
"""Base exception for all tddai errors."""
pass
class WorkspaceError(TddaiError):
"""Raised when workspace operations fail."""
pass
class IssueError(TddaiError):
"""Raised when issue operations fail."""
pass
class ConfigurationError(TddaiError):
"""Raised when configuration is invalid."""
pass
class TestGenerationError(TddaiError):
"""Raised when test generation fails."""
pass

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@@ -1,180 +0,0 @@
#!/usr/bin/env python3
"""
TDDAi Issue Closer
A dedicated module for closing issues in the selected issue tracking backend.
Provides both programmatic API and CLI functionality for easy issue closure.
This module integrates with the existing tddai framework and provides:
- Simple programmatic interface for closing issues
- Command-line utility for manual issue closure
- Integration with existing issue tracking backends
- Proper error handling and user feedback
"""
import sys
import argparse
from pathlib import Path
from typing import Optional
# Add project root to path for imports
project_root = Path(__file__).parent.parent
sys.path.insert(0, str(project_root))
from cli import CLIFramework
from services import IssueService
from tddai import TddaiError
class IssueCloser:
"""Dedicated class for closing issues with the configured backend."""
def __init__(self):
"""Initialize the issue closer with CLI framework."""
self.cli = CLIFramework()
self.service = IssueService()
def close_issue(self, issue_number: int, comment: str = "") -> bool:
"""
Close an issue with optional comment.
Args:
issue_number: The issue number to close
comment: Optional closing comment
Returns:
bool: True if issue was closed successfully, False otherwise
"""
try:
self.cli.close_issue(issue_number, comment)
return True
except TddaiError as e:
print(f"Error closing issue #{issue_number}: {e}")
return False
except Exception as e:
print(f"Unexpected error closing issue #{issue_number}: {e}")
return False
def close_with_completion_message(self, issue_number: int, completed_work: str) -> bool:
"""
Close an issue with a standardized completion message.
Args:
issue_number: The issue number to close
completed_work: Description of what was completed
Returns:
bool: True if issue was closed successfully, False otherwise
"""
completion_comment = f"✅ Completed: {completed_work}"
return self.close_issue(issue_number, completion_comment)
def close_multiple_issues(self, issue_numbers: list, comment: str = "") -> dict:
"""
Close multiple issues with the same comment.
Args:
issue_numbers: List of issue numbers to close
comment: Comment to add to all issues
Returns:
dict: Results with 'successful' and 'failed' lists
"""
results = {'successful': [], 'failed': []}
for issue_num in issue_numbers:
if self.close_issue(issue_num, comment):
results['successful'].append(issue_num)
else:
results['failed'].append(issue_num)
return results
def main():
"""Command-line interface for the issue closer."""
parser = argparse.ArgumentParser(
description="TDDAi Issue Closer - Close issues in the configured tracking backend",
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog="""
Examples:
python3 issue_closer.py 42 # Close issue #42
python3 issue_closer.py 42 -c "Fixed the bug" # Close with comment
python3 issue_closer.py 42 -w "All tests passing" # Close with completion message
python3 issue_closer.py 42 43 44 # Close multiple issues
python3 issue_closer.py 42 43 -c "Batch closure" # Close multiple with comment
Integration with existing tddai CLI:
python3 tddai_cli.py close-issue 42 --comment "Done" # Alternative method
"""
)
parser.add_argument(
'issue_numbers',
type=int,
nargs='+',
help='Issue number(s) to close'
)
parser.add_argument(
'-c', '--comment',
type=str,
default='',
help='Optional closing comment'
)
parser.add_argument(
'-w', '--work-completed',
type=str,
help='Description of completed work (creates standardized completion message)'
)
parser.add_argument(
'-v', '--verbose',
action='store_true',
help='Enable verbose output'
)
args = parser.parse_args()
# Initialize issue closer
closer = IssueCloser()
# Determine which closing method to use
if args.work_completed:
comment = f"✅ Completed: {args.work_completed}"
else:
comment = args.comment
# Handle single or multiple issues
if len(args.issue_numbers) == 1:
issue_num = args.issue_numbers[0]
if args.verbose:
print(f"Closing issue #{issue_num}...")
if comment:
print(f"Comment: {comment}")
success = closer.close_issue(issue_num, comment)
sys.exit(0 if success else 1)
else:
# Multiple issues
if args.verbose:
print(f"Closing {len(args.issue_numbers)} issues...")
if comment:
print(f"Comment: {comment}")
results = closer.close_multiple_issues(args.issue_numbers, comment)
if results['successful']:
print(f"✅ Successfully closed: {results['successful']}")
if results['failed']:
print(f"❌ Failed to close: {results['failed']}")
sys.exit(1)
print(f"✅ All {len(args.issue_numbers)} issues closed successfully!")
if __name__ == '__main__':
main()

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@@ -1,211 +0,0 @@
"""
Issue creation using the Gitea facade.
This module now acts as an adapter to the new gitea package,
maintaining backwards compatibility while using the cleaner API.
"""
import os
from typing import Dict, Any, Optional, List
from gitea import GiteaClient, GiteaConfig, Priority
from .config import get_config
from .exceptions import IssueError
class IssueCreator:
"""Creates new issues using the Gitea facade."""
def __init__(self, config=None, auth_token=None):
self.config = config or get_config()
self.auth_token = auth_token or os.getenv('GITEA_API_TOKEN')
# Create Gitea client from tddai config
gitea_config = GiteaConfig.from_tddai_config(self.config)
if self.auth_token:
gitea_config.auth_token = self.auth_token
self.gitea_client = GiteaClient(gitea_config)
def create_issue(self, title: str, body: str, **kwargs) -> Dict[str, Any]:
"""Create a new issue via POST operation.
Args:
title: Issue title (required)
body: Issue description/body (required)
**kwargs: Optional fields (assignees, milestone, labels, etc.)
Returns:
Dict containing created issue data including issue number
Raises:
IssueError: If creation fails
"""
# Validate input
if not title or not title.strip():
raise IssueError("Issue title cannot be empty")
try:
issue = self.gitea_client.issues.create(
title=title,
body=body,
assignees=kwargs.get('assignees', []),
milestone=kwargs.get('milestone'),
labels=kwargs.get('labels', [])
)
# Convert back to dict format for backwards compatibility
return {
'number': issue.number,
'title': issue.title,
'body': issue.body,
'state': issue.state,
'html_url': issue.html_url,
'created_at': issue.created_at.isoformat(),
'updated_at': issue.updated_at.isoformat(),
'assignee': {'login': issue.assignee.login} if issue.assignee else None,
'labels': [{'name': label.name} for label in issue.labels]
}
except Exception as e:
raise IssueError(f"Failed to create issue: {e}")
def create_enhancement_issue(self, title: str, use_case: str,
technical_requirements: str = "",
acceptance_criteria: Optional[List[str]] = None,
dependencies: Optional[List[str]] = None,
priority: str = "Medium") -> Dict[str, Any]:
"""Create an enhancement issue with structured format.
Args:
title: Issue title
use_case: UseCase description
technical_requirements: Technical implementation details
acceptance_criteria: List of acceptance criteria
dependencies: List of dependency descriptions
priority: Priority level (High, Medium, Low)
Returns:
Dict containing created issue data
"""
# Build structured body
body_parts = [f"UseCase: {use_case}"]
if technical_requirements:
body_parts.extend([
"",
"Technical Requirements:",
technical_requirements
])
if acceptance_criteria:
body_parts.extend([
"",
"Acceptance Criteria:"
])
for criterion in acceptance_criteria:
body_parts.append(f"- [ ] {criterion}")
if dependencies:
body_parts.extend([
"",
"Dependencies:"
])
for dep in dependencies:
body_parts.append(f"- {dep}")
body = "\n".join(body_parts)
# Create with enhancement label
return self.create_issue(
title=title,
body=body,
labels=[priority.lower(), "enhancement"]
)
def create_bug_issue(self, title: str, description: str,
steps_to_reproduce: Optional[List[str]] = None,
expected_behavior: str = "",
actual_behavior: str = "",
environment: str = "") -> Dict[str, Any]:
"""Create a bug issue with structured format.
Args:
title: Bug title
description: Bug description
steps_to_reproduce: List of reproduction steps
expected_behavior: What should happen
actual_behavior: What actually happens
environment: Environment details
Returns:
Dict containing created issue data
"""
body_parts = [description]
if steps_to_reproduce:
body_parts.extend([
"",
"Steps to Reproduce:"
])
for i, step in enumerate(steps_to_reproduce, 1):
body_parts.append(f"{i}. {step}")
if expected_behavior:
body_parts.extend([
"",
f"Expected Behavior: {expected_behavior}"
])
if actual_behavior:
body_parts.extend([
"",
f"Actual Behavior: {actual_behavior}"
])
if environment:
body_parts.extend([
"",
f"Environment: {environment}"
])
body = "\n".join(body_parts)
# Create with bug label
return self.create_issue(
title=title,
body=body,
labels=["bug"]
)
def create_from_template(self, template_file: str, **template_vars) -> Dict[str, Any]:
"""Create issue from a template file.
Args:
template_file: Path to template file
**template_vars: Variables to substitute in template
Returns:
Dict containing created issue data
"""
try:
with open(template_file, 'r') as f:
template_content = f.read()
# Simple template variable substitution
for key, value in template_vars.items():
template_content = template_content.replace(f"{{{key}}}", str(value))
# Extract title (first line) and body (rest)
lines = template_content.strip().split('\n')
if not lines or (len(lines) == 1 and not lines[0].strip()):
raise IssueError("Template file is empty")
title = lines[0].replace('Title: ', '').strip()
body = '\n'.join(lines[1:]).strip()
return self.create_issue(title=title, body=body)
except FileNotFoundError:
raise IssueError(f"Template file not found: {template_file}")
except Exception as e:
raise IssueError(f"Failed to process template: {e}")

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@@ -1,92 +0,0 @@
"""
Issue fetching using the Gitea facade.
This module now acts as an adapter to the new gitea package,
maintaining backwards compatibility while using the cleaner API.
"""
from typing import List, Dict, Any
from gitea import GiteaClient, Issue as GiteaIssue, GiteaConfig
from gitea.exceptions import GiteaError, GiteaNotFoundError, GiteaAuthError, GiteaApiError
from .config import get_config
from .exceptions import IssueError
# Re-export Issue for backwards compatibility
Issue = GiteaIssue
class IssueFetcher:
"""Fetches issues using the Gitea facade."""
def __init__(self, config=None):
self.config = config or get_config()
# Create Gitea client from tddai config
gitea_config = GiteaConfig.from_tddai_config(self.config)
self.gitea_client = GiteaClient(gitea_config)
def fetch_issue(self, issue_number: int) -> Issue:
"""Fetch a specific issue by number.
Raises:
IssueError: When issue cannot be fetched (with specific context)
"""
try:
return self.gitea_client.issues.get(issue_number)
except GiteaNotFoundError as e:
raise IssueError(f"Issue #{issue_number} not found") from e
except GiteaAuthError as e:
raise IssueError(f"Authentication failed when fetching issue #{issue_number}") from e
except GiteaApiError as e:
raise IssueError(f"API error fetching issue #{issue_number}: {e}") from e
except GiteaError as e:
raise IssueError(f"Gitea error fetching issue #{issue_number}: {e}") from e
def fetch_issues(self, state: str = "all") -> List[Issue]:
"""Fetch all issues with optional state filter.
Args:
state: Issue state filter ("all", "open", "closed")
Raises:
IssueError: When issues cannot be fetched (with specific context)
"""
try:
return self.gitea_client.issues.list(state=state)
except GiteaAuthError as e:
raise IssueError("Authentication failed when fetching issues") from e
except GiteaApiError as e:
raise IssueError(f"API error fetching issues with state '{state}': {e}") from e
except GiteaError as e:
raise IssueError(f"Gitea error fetching issues: {e}") from e
def fetch_open_issues(self) -> List[Issue]:
"""Fetch only open issues.
Raises:
IssueError: When open issues cannot be fetched (with specific context)
"""
try:
return self.gitea_client.issues.list_open()
except GiteaAuthError as e:
raise IssueError("Authentication failed when fetching open issues") from e
except GiteaApiError as e:
raise IssueError(f"API error fetching open issues: {e}") from e
except GiteaError as e:
raise IssueError(f"Gitea error fetching open issues: {e}") from e
def get_issue_data_dict(self, issue_number: int) -> Dict[str, Any]:
"""Get issue data as dictionary for workspace creation."""
issue = self.fetch_issue(issue_number)
return {
'number': issue.number,
'title': issue.title,
'body': issue.body,
'state': issue.state,
'created_at': issue.created_at.isoformat(),
'updated_at': issue.updated_at.isoformat(),
'html_url': issue.html_url,
'assignee': {'login': issue.assignee.login} if issue.assignee else None,
'labels': [{'name': label.name} for label in issue.labels]
}

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@@ -1,120 +0,0 @@
"""
Issue writing using the Gitea integration facade.
This module now acts as an adapter to the new gitea package,
maintaining backwards compatibility while using the cleaner API.
"""
import os
from typing import Dict, Any, Optional
from gitea import GiteaClient, GiteaConfig
from .config import get_config
from .exceptions import IssueError
class IssueWriter:
"""Writes issue updates using the Gitea integration facade."""
def __init__(self, config=None, auth_token=None):
self.config = config or get_config()
self.auth_token = auth_token or os.getenv('GITEA_API_TOKEN')
# Create Gitea client from tddai config
gitea_config = GiteaConfig.from_tddai_config(self.config)
if self.auth_token:
gitea_config.auth_token = self.auth_token
self.gitea_client = GiteaClient(gitea_config)
def update_issue(self, issue_number: int, update_data: Dict[str, Any]) -> Dict[str, Any]:
"""Update an issue via the gitea integration."""
if not self.auth_token:
raise IssueError("Authentication token required for issue updates")
try:
issue = self.gitea_client.issues.update(issue_number, **update_data)
return self.gitea_client.issues.to_dict(issue)
except Exception as e:
raise IssueError(f"Failed to update issue #{issue_number}: {e}")
def update_issue_title(self, issue_number: int, new_title: str) -> Dict[str, Any]:
"""Update only the title of an issue."""
try:
issue = self.gitea_client.issues.update_title(issue_number, new_title)
return self.gitea_client.issues.to_dict(issue)
except Exception as e:
raise IssueError(f"Failed to update issue title #{issue_number}: {e}")
def update_issue_body(self, issue_number: int, new_body: str) -> Dict[str, Any]:
"""Update only the body of an issue."""
try:
issue = self.gitea_client.issues.update_body(issue_number, new_body)
return self.gitea_client.issues.to_dict(issue)
except Exception as e:
raise IssueError(f"Failed to update issue body #{issue_number}: {e}")
def update_issue_state(self, issue_number: int, new_state: str) -> Dict[str, Any]:
"""Update only the state of an issue (open/closed)."""
if new_state not in ['open', 'closed']:
raise IssueError(f"Invalid state '{new_state}'. Must be 'open' or 'closed'")
try:
if new_state == 'closed':
issue = self.gitea_client.issues.close(issue_number)
else:
issue = self.gitea_client.issues.reopen(issue_number)
return self.gitea_client.issues.to_dict(issue)
except Exception as e:
raise IssueError(f"Failed to update issue state #{issue_number}: {e}")
def close_issue(self, issue_number: int) -> Dict[str, Any]:
"""Close an issue."""
return self.update_issue_state(issue_number, 'closed')
def reopen_issue(self, issue_number: int) -> Dict[str, Any]:
"""Reopen a closed issue."""
return self.update_issue_state(issue_number, 'open')
def assign_to_milestone(self, issue_number: int, milestone_id: int) -> Dict[str, Any]:
"""Assign issue to a milestone (project)."""
try:
issue = self.gitea_client.issues.assign_to_milestone(issue_number, milestone_id)
return self.gitea_client.issues.to_dict(issue)
except Exception as e:
raise IssueError(f"Failed to assign issue #{issue_number} to milestone: {e}")
def remove_from_milestone(self, issue_number: int) -> Dict[str, Any]:
"""Remove issue from its current milestone."""
try:
issue = self.gitea_client.issues.remove_from_milestone(issue_number)
return self.gitea_client.issues.to_dict(issue)
except Exception as e:
raise IssueError(f"Failed to remove issue #{issue_number} from milestone: {e}")
def update_labels(self, issue_number: int, labels: list) -> Dict[str, Any]:
"""Update issue labels completely."""
if not self.auth_token:
raise IssueError("Authentication token required for label updates")
try:
issue = self.gitea_client.issues.set_labels(issue_number, labels)
return self.gitea_client.issues.to_dict(issue)
except Exception as e:
raise IssueError(f"Failed to update labels for issue #{issue_number}: {e}")
def add_labels(self, issue_number: int, new_labels: list) -> Dict[str, Any]:
"""Add labels to issue (preserving existing labels)."""
try:
issue = self.gitea_client.issues.add_labels(issue_number, new_labels)
return self.gitea_client.issues.to_dict(issue)
except Exception as e:
raise IssueError(f"Failed to add labels to issue #{issue_number}: {e}")
def remove_labels(self, issue_number: int, labels_to_remove: list) -> Dict[str, Any]:
"""Remove specific labels from issue."""
try:
issue = self.gitea_client.issues.remove_labels(issue_number, labels_to_remove)
return self.gitea_client.issues.to_dict(issue)
except Exception as e:
raise IssueError(f"Failed to remove labels from issue #{issue_number}: {e}")

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@@ -1,244 +0,0 @@
"""
Project management functionality using the Gitea facade.
This module now acts as an adapter to the new gitea package,
maintaining backwards compatibility while using the cleaner API.
"""
import os
from typing import Dict, Any, List, Optional
from gitea import GiteaClient, GiteaConfig
from gitea.models import ProjectState, Priority, Milestone as GiteaMilestone, Label as GiteaLabel
from gitea.exceptions import GiteaError, GiteaNotFoundError, GiteaAuthError, GiteaApiError
from .config import get_config
from .exceptions import IssueError
# Re-export for backwards compatibility
Milestone = GiteaMilestone
Label = GiteaLabel
class ProjectManager:
"""Manages project organization using the Gitea facade."""
def __init__(self, config=None, auth_token=None):
self.config = config or get_config()
self.auth_token = auth_token or os.getenv('GITEA_API_TOKEN')
# Create Gitea client from tddai config
gitea_config = GiteaConfig.from_tddai_config(self.config)
if self.auth_token:
gitea_config.auth_token = self.auth_token
self.gitea_client = GiteaClient(gitea_config)
def _make_api_call(self, method: str, url: str, data: Dict[str, Any] = None) -> Dict[str, Any]:
"""Make authenticated API call to Gitea (kept for backwards compatibility).
Args:
method: HTTP method (GET, POST, etc.)
url: API endpoint URL
data: Optional request data
Raises:
IssueError: When API call fails (with specific context)
"""
# This method is kept for backwards compatibility but now delegates to the gitea client
# For new code, use the gitea_client directly
try:
if method == 'GET' and 'issues' in url and url.endswith('/issues'):
issues = self.gitea_client.issues.list()
return [self._issue_to_dict(issue) for issue in issues]
elif method == 'GET' and '/issues/' in url and not url.endswith('/labels'):
issue_number = int(url.split('/issues/')[-1])
issue = self.gitea_client.issues.get(issue_number)
return self._issue_to_dict(issue)
else:
raise IssueError(f"Legacy API call not supported: {method} {url}")
except GiteaNotFoundError as e:
raise IssueError(f"Resource not found for {method} {url}") from e
except GiteaAuthError as e:
raise IssueError(f"Authentication failed for {method} {url}") from e
except GiteaApiError as e:
raise IssueError(f"API error for {method} {url}: {e}") from e
except GiteaError as e:
raise IssueError(f"Gitea error for {method} {url}: {e}") from e
except (ValueError, IndexError) as e:
raise IssueError(f"Invalid URL format for {method} {url}") from e
def _issue_to_dict(self, issue) -> Dict[str, Any]:
"""Convert Issue object to dict for backwards compatibility."""
return {
'number': issue.number,
'title': issue.title,
'body': issue.body,
'state': issue.state,
'html_url': issue.html_url,
'created_at': issue.created_at.isoformat(),
'updated_at': issue.updated_at.isoformat(),
'assignee': {'login': issue.assignee.login} if issue.assignee else None,
'labels': [{'name': label.name, 'color': label.color} for label in issue.labels]
}
# Milestone Management (Projects)
def create_milestone(self, title: str, description: str = "", due_date: Optional[str] = None) -> Milestone:
"""Create a new milestone (project)."""
try:
return self.gitea_client.milestones.create(title, description, due_date)
except Exception as e:
raise IssueError(f"Failed to create milestone: {e}")
def list_milestones(self, state: str = "open") -> List[Milestone]:
"""List all milestones (projects)."""
try:
if state == "all":
return self.gitea_client.milestones.list()
elif state == "open":
return self.gitea_client.milestones.list_open()
elif state == "closed":
return self.gitea_client.milestones.list_closed()
else:
return self.gitea_client.milestones.list(state)
except Exception as e:
raise IssueError(f"Failed to list milestones: {e}")
def update_milestone(self, milestone_id: int, **kwargs) -> Milestone:
"""Update milestone details."""
url = f"{self.config.gitea_url}/api/v1/repos/{self.config.repo_owner}/{self.config.repo_name}/milestones/{milestone_id}"
# Only include fields that can be updated
valid_fields = ['title', 'description', 'state', 'due_on']
data = {k: v for k, v in kwargs.items() if k in valid_fields}
response = self._make_api_call('PATCH', url, data)
return Milestone(
id=response['id'],
title=response['title'],
description=response.get('description', ''),
state=response['state'],
open_issues=response['open_issues'],
closed_issues=response['closed_issues'],
due_on=response.get('due_on')
)
def close_milestone(self, milestone_id: int) -> Milestone:
"""Close a milestone (complete project)."""
return self.update_milestone(milestone_id, state='closed')
# Label Management (States & Priority)
def create_label(self, name: str, color: str, description: str = "") -> Label:
"""Create a new label."""
url = f"{self.config.gitea_url}/api/v1/repos/{self.config.repo_owner}/{self.config.repo_name}/labels"
data = {
'name': name,
'color': color,
'description': description
}
response = self._make_api_call('POST', url, data)
return Label(
id=response['id'],
name=response['name'],
color=response['color'],
description=response.get('description', '')
)
def list_labels(self) -> List[Label]:
"""List all repository labels."""
url = f"{self.config.gitea_url}/api/v1/repos/{self.config.repo_owner}/{self.config.repo_name}/labels"
response = self._make_api_call('GET', url)
return [
Label(
id=l['id'],
name=l['name'],
color=l['color'],
description=l.get('description', '')
)
for l in response
]
def ensure_project_labels(self) -> None:
"""Ensure all required project management labels exist."""
try:
self.gitea_client.labels.ensure_project_labels()
except Exception as e:
raise IssueError(f"Failed to ensure project labels: {e}")
def list_labels(self) -> List[Label]:
"""List all repository labels."""
try:
return self.gitea_client.labels.list()
except Exception as e:
raise IssueError(f"Failed to list labels: {e}")
def create_label(self, name: str, color: str, description: str = "") -> Label:
"""Create a new label."""
try:
return self.gitea_client.labels.create(name, color, description)
except Exception as e:
raise IssueError(f"Failed to create label: {e}")
# Project Management Operations
def assign_issue_to_milestone(self, issue_number: int, milestone_id: int) -> Dict[str, Any]:
"""Assign issue to a milestone (project)."""
url = f"{self.config.issues_api_url}/{issue_number}"
data = {'milestone': milestone_id}
return self._make_api_call('PATCH', url, data)
def set_issue_state(self, issue_number: int, state: ProjectState) -> Dict[str, Any]:
"""Set issue project state using labels."""
try:
issue = self.gitea_client.issues.set_status(issue_number, state)
return self._issue_to_dict(issue)
except Exception as e:
raise IssueError(f"Failed to set issue state: {e}")
def set_issue_priority(self, issue_number: int, priority: Priority) -> Dict[str, Any]:
"""Set issue priority using labels."""
try:
issue = self.gitea_client.issues.set_priority(issue_number, priority)
return self._issue_to_dict(issue)
except Exception as e:
raise IssueError(f"Failed to set issue priority: {e}")
def move_issue_to_done(self, issue_number: int) -> Dict[str, Any]:
"""Move issue to done state and close it."""
try:
# Set state to done
self.set_issue_state(issue_number, ProjectState.DONE)
# Close the issue
issue = self.gitea_client.issues.close(issue_number)
return self._issue_to_dict(issue)
except Exception as e:
raise IssueError(f"Failed to move issue to done: {e}")
def get_project_overview(self) -> Dict[str, Any]:
"""Get overview of project status."""
milestones = self.list_milestones("all")
labels = self.list_labels()
# Count issues by state
state_counts = {}
for state in ProjectState:
state_counts[state.value] = 0
# This would require fetching all issues to count by labels
# For now, return milestone overview
return {
'milestones': len(milestones),
'active_projects': len([m for m in milestones if m.state == 'open']),
'completed_projects': len([m for m in milestones if m.state == 'closed']),
'total_labels': len(labels),
'project_management_ready': len([l for l in labels if l.name.startswith('status:')]) > 0
}

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