Complete implementation of Phase 8, the final phase of prompt dependency resolution infrastructure, adding full observability and traceability. ## Features (FR-11) ### FR-11.1: Complete Artifact Provenance Tracing - TraceabilityService: composition layer for full artifact lineage - Trace any artifact to producing PromptTemplate, input artifacts, generator runs, and quality validation results - ProvenanceTrace model with complete dependency chain reconstruction - RunSummary and ArtifactLineage models for structured trace output ### FR-11.2: Recomputation Query Infrastructure - PromptQueryService: cross-service complex queries - Run history queries with template and status filters - Stale artifact detection via impact debt analysis - Dependency graph statistics (nodes, edges, cycles, roots, leaves) - Content-based artifact lookups by digest ### Visualization Support - GraphExporter: DOT (Graphviz) and Mermaid format export - Supports all edge types (requires, generates, includes) - Handles isolated nodes, linear chains, diamonds, and complex graphs ### CLI Commands (prompt group) - `prompt trace <artifact_id>` - Full provenance trace as JSON - `prompt graph <artifact_id>` - Dependency graph (DOT/Mermaid) - `prompt runs` - List execution runs with filters - `prompt debt` - Show impact debt and stale artifacts - `prompt stats` - Dependency graph statistics ## Implementation Source files (8): - markitect/prompts/traceability/models.py - Trace data models - markitect/prompts/traceability/service.py - TraceabilityService - markitect/prompts/visualization/graph.py - Graph export - markitect/prompts/queries/operations.py - PromptQueryService - markitect/prompts/cli.py - Click CLI commands - Package __init__.py files (3) Tests (64 total, all passing): - tests/unit/prompts/test_traceability_service.py (21 tests) - tests/unit/prompts/test_visualization.py (14 tests) - tests/unit/prompts/test_query_operations.py (12 tests) - tests/integration/prompts/test_traceability_workflow.py (7 tests) - tests/integration/prompts/test_prompt_cli.py (10 tests) ## Architecture TraceabilityService is a composition layer that delegates to: - DependencyQueryService (transitive dependency lookups) - QualityValidator (validation history) - IncrementalExecutionEngine (impact debt queries) - Direct repository access (artifacts, edges) No duplicate data storage - all data comes from existing Phase 1-7 infrastructure (artifact repo, dependency repo, validation DB, debt DB). ## Verification All 2250 tests pass with 0 regressions. Phase 8 completes the full 8-phase implementation roadmap. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
107 lines
3.3 KiB
Python
107 lines
3.3 KiB
Python
"""
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Graph visualization export for dependency graphs.
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Exports DependencyGraph to DOT (Graphviz) and Mermaid diagram formats.
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"""
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from markitect.prompts.dependencies.models import DependencyGraph, EdgeType
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# Edge type to style mappings
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_DOT_EDGE_STYLES = {
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EdgeType.REQUIRES: 'style="solid"',
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EdgeType.GENERATES: 'style="dashed"',
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EdgeType.INCLUDES: 'style="dotted"',
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}
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_MERMAID_EDGE_STYLES = {
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EdgeType.REQUIRES: "-->",
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EdgeType.GENERATES: "-.->",
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EdgeType.INCLUDES: "==>",
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}
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class GraphExporter:
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"""Export DependencyGraph to DOT and Mermaid formats."""
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@staticmethod
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def to_dot(graph: DependencyGraph, title: str = "Dependencies") -> str:
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"""
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Export dependency graph to Graphviz DOT format.
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Args:
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graph: DependencyGraph to export
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title: Graph title
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Returns:
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DOT format string
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"""
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lines = [
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f'digraph "{title}" {{',
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" rankdir=LR;",
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f' label="{title}";',
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" node [shape=box];",
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]
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# Add nodes
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for node in sorted(graph.nodes):
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safe_id = node.replace("-", "_")
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lines.append(f' {safe_id} [label="{node}"];')
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# Add edges
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for source in sorted(graph.nodes):
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for target in sorted(graph.get_successors(source)):
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edge_type = graph.get_edge_type(source, target)
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style = _DOT_EDGE_STYLES.get(edge_type, 'style="solid"')
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safe_source = source.replace("-", "_")
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safe_target = target.replace("-", "_")
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label = edge_type.value if edge_type else "requires"
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lines.append(
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f' {safe_source} -> {safe_target} [{style} label="{label}"];'
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)
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lines.append("}")
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return "\n".join(lines)
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@staticmethod
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def to_mermaid(graph: DependencyGraph, title: str = "Dependencies") -> str:
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"""
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Export dependency graph to Mermaid diagram format.
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Args:
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graph: DependencyGraph to export
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title: Graph title (used as comment)
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Returns:
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Mermaid format string
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"""
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lines = [
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f"%%{{ title: {title} }}%%",
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"graph LR",
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]
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# Add edges
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edges_added = False
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for source in sorted(graph.nodes):
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for target in sorted(graph.get_successors(source)):
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edge_type = graph.get_edge_type(source, target)
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arrow = _MERMAID_EDGE_STYLES.get(edge_type, "-->")
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label = edge_type.value if edge_type else "requires"
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lines.append(f" {source}{arrow}|{label}|{target}")
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edges_added = True
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# Add isolated nodes (no edges)
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if not edges_added:
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for node in sorted(graph.nodes):
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lines.append(f" {node}")
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else:
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# Add any isolated nodes that have no edges
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connected = set()
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for source in graph.nodes:
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if graph.get_successors(source) or graph.get_predecessors(source):
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connected.add(source)
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for node in sorted(graph.nodes - connected):
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lines.append(f" {node}")
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return "\n".join(lines)
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