feat: implement comprehensive GraphQL read interface (issue #9)
Adds a complete GraphQL API for querying MarkiTect database content including: CORE FEATURES: - Type-safe GraphQL schema with comprehensive field definitions - Full database access: markdown files, schemas, ASTs, and metadata - Advanced search capabilities with relevance scoring - Pagination support for efficient data access - Real-time schema introspection and development tools IMPLEMENTATION: - GraphQL schema definition with 6 core types (MarkdownFile, Schema, AST, etc.) - Complete resolver implementation with database integration - Flask-based GraphQL server with CORS support - GraphQL Playground for interactive development - Health check and schema introspection endpoints CLI INTEGRATION: - graphql-serve: Start GraphQL server with customizable options - graphql-query: Execute queries from command line (local/remote) - graphql-schema: Retrieve schema definition in SDL/JSON format - graphql-examples: Comprehensive usage examples and documentation API FEATURES: - Single item queries (by ID or filename) - List queries with filtering and pagination - Full-text search across files and schemas - Database statistics and analytics - AST querying with JSONPath expressions - Computed fields (word count, line count, etc.) TESTING: - Comprehensive test suite with 38 passing tests - Unit tests for schema, resolvers, server, and client - Integration tests for query execution - Error handling and edge case coverage - Mock and fixture support for isolated testing DOCUMENTATION: - Complete API documentation with examples - Usage guide for all CLI commands - Programming examples in Python and JavaScript - Performance optimization guidelines - Troubleshooting and security considerations The GraphQL interface enables developers to build rich applications on top of MarkiTect data with flexible, efficient querying capabilities. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
12
markitect/graphql/__init__.py
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12
markitect/graphql/__init__.py
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"""
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GraphQL interface for MarkiTect - Issue #9
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This package provides a GraphQL read interface for querying MarkiTect's
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database content including Markdown files, ASTs, and schemas.
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"""
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from .schema import schema
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from .server import GraphQLServer
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from .resolvers import Query
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__all__ = ['schema', 'GraphQLServer', 'Query']
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449
markitect/graphql/resolvers.py
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449
markitect/graphql/resolvers.py
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"""
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GraphQL resolvers for MarkiTect data.
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Implements the resolver functions that fetch data from MarkiTect's
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database and services to fulfill GraphQL queries.
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"""
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import json
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import sqlite3
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import os
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from datetime import datetime
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from pathlib import Path
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from typing import List, Optional, Dict, Any, Union
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from jsonpath_ng import parse as jsonpath_parse
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from ..database import DatabaseManager
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from ..ast_service import ASTService
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from .schema import (
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MarkdownFile, Schema, AST, ASTNode, DatabaseStats,
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SearchResult, Query as QueryType
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)
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class MarkiTectResolver:
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"""Base resolver class with common database operations."""
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def __init__(self, db_path: str):
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"""Initialize resolver with database path."""
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self.db_path = db_path
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self.db_manager = DatabaseManager(db_path)
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self.ast_service = ASTService()
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def get_connection(self):
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"""Get database connection."""
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return sqlite3.connect(self.db_path)
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def row_to_dict(self, cursor, row):
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"""Convert database row to dictionary."""
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return dict(zip([col[0] for col in cursor.description], row))
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class Query(QueryType):
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"""GraphQL query resolver implementation."""
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def __init__(self):
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"""Initialize query resolver."""
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# Default database path - could be made configurable
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self.resolver = MarkiTectResolver(get_default_database_path())
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def resolve_markdown_file(self, info, id=None, filename=None):
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"""Resolve single markdown file query."""
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conn = self.resolver.get_connection()
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cursor = conn.cursor()
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if id:
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cursor.execute(
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"SELECT * FROM markdown_files WHERE id = ?",
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(id,)
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)
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elif filename:
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cursor.execute(
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"SELECT * FROM markdown_files WHERE filename = ?",
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(filename,)
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)
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else:
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return None
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row = cursor.fetchone()
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conn.close()
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if row:
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data = self.resolver.row_to_dict(cursor, row)
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# Parse front matter JSON
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if data['front_matter']:
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try:
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data['front_matter_raw'] = json.loads(data['front_matter'])
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except json.JSONDecodeError:
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data['front_matter_raw'] = {}
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else:
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data['front_matter_raw'] = {}
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return MarkdownFile(**data)
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return None
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def resolve_schema(self, info, id=None, filename=None):
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"""Resolve single schema query."""
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conn = self.resolver.get_connection()
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cursor = conn.cursor()
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if id:
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cursor.execute(
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"SELECT * FROM schemas WHERE id = ?",
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(id,)
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)
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elif filename:
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cursor.execute(
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"SELECT * FROM schemas WHERE filename = ?",
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(filename,)
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)
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else:
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return None
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row = cursor.fetchone()
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conn.close()
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if row:
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data = self.resolver.row_to_dict(cursor, row)
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# Parse schema content JSON
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if data['schema_content']:
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try:
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data['schema_content'] = json.loads(data['schema_content'])
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except json.JSONDecodeError:
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data['schema_content'] = {}
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return Schema(**data)
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return None
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def resolve_ast(self, info, file_id=None, filename=None):
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"""Resolve AST query."""
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if not file_id and not filename:
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return None
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# Get file path
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if file_id:
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conn = self.resolver.get_connection()
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cursor = conn.cursor()
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cursor.execute(
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"SELECT filename FROM markdown_files WHERE id = ?",
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(file_id,)
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)
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row = cursor.fetchone()
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conn.close()
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if not row:
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return None
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filename = row[0]
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if not filename:
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return None
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file_path = Path(filename)
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try:
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# Use AST service to get parsed AST
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ast_result = self.resolver.ast_service.display_ast(file_path, "json")
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if ast_result.get('success'):
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ast_data = ast_result.get('ast', {})
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# Convert to our GraphQL AST format
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return AST(
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file_id=file_id,
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filename=filename,
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tree=self._convert_ast_nodes(ast_data),
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metadata=ast_result.get('metadata', {}),
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heading_count=self._count_nodes_by_type(ast_data, 'heading'),
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link_count=self._count_nodes_by_type(ast_data, 'link'),
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image_count=self._count_nodes_by_type(ast_data, 'image'),
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code_block_count=self._count_nodes_by_type(ast_data, 'code')
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)
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except Exception:
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pass
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return None
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def resolve_markdown_files(self, info, limit=50, offset=0, has_front_matter=None, created_after=None):
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"""Resolve markdown files list query."""
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conn = self.resolver.get_connection()
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cursor = conn.cursor()
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# Build query with filters
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query = "SELECT * FROM markdown_files WHERE 1=1"
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params = []
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if has_front_matter is not None:
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if has_front_matter:
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query += " AND front_matter IS NOT NULL AND front_matter != ''"
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else:
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query += " AND (front_matter IS NULL OR front_matter = '')"
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if created_after:
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query += " AND created_at > ?"
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params.append(created_after.isoformat())
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query += " ORDER BY created_at DESC LIMIT ? OFFSET ?"
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params.extend([limit, offset])
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cursor.execute(query, params)
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rows = cursor.fetchall()
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conn.close()
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files = []
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for row in rows:
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data = self.resolver.row_to_dict(cursor, row)
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# Parse front matter JSON
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if data['front_matter']:
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try:
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data['front_matter_raw'] = json.loads(data['front_matter'])
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except json.JSONDecodeError:
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data['front_matter_raw'] = {}
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else:
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data['front_matter_raw'] = {}
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files.append(MarkdownFile(**data))
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return files
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def resolve_schemas(self, info, limit=50, offset=0):
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"""Resolve schemas list query."""
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conn = self.resolver.get_connection()
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cursor = conn.cursor()
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cursor.execute(
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"SELECT * FROM schemas ORDER BY created_at DESC LIMIT ? OFFSET ?",
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(limit, offset)
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)
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rows = cursor.fetchall()
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conn.close()
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schemas = []
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for row in rows:
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data = self.resolver.row_to_dict(cursor, row)
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# Parse schema content JSON
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if data['schema_content']:
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try:
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data['schema_content'] = json.loads(data['schema_content'])
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except json.JSONDecodeError:
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data['schema_content'] = {}
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schemas.append(Schema(**data))
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return schemas
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def resolve_search(self, info, query, type="all", limit=20):
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"""Resolve search query."""
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results = []
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conn = self.resolver.get_connection()
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cursor = conn.cursor()
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# Search in markdown files
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if type in ["all", "file"]:
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cursor.execute("""
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SELECT *, 'file' as result_type FROM markdown_files
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WHERE filename LIKE ? OR content LIKE ?
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ORDER BY
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CASE WHEN filename LIKE ? THEN 1 ELSE 2 END,
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created_at DESC
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LIMIT ?
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""", (f"%{query}%", f"%{query}%", f"%{query}%", limit))
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for row in cursor.fetchall():
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data = self.resolver.row_to_dict(cursor, row)
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if data['front_matter']:
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try:
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data['front_matter_raw'] = json.loads(data['front_matter'])
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except json.JSONDecodeError:
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data['front_matter_raw'] = {}
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else:
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data['front_matter_raw'] = {}
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# Remove extra fields that don't belong to MarkdownFile
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file_data = {k: v for k, v in data.items() if k != 'result_type'}
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# Calculate basic relevance score
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score = 1.0
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if query.lower() in data['filename'].lower():
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score += 0.5
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if data['content'] and query.lower() in data['content'].lower():
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score += 0.3
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results.append(SearchResult(
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type="file",
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score=score,
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file=MarkdownFile(**file_data),
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highlight=self._extract_highlight(data.get('content', ''), query)
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))
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# Search in schemas
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if type in ["all", "schema"]:
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cursor.execute("""
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SELECT *, 'schema' as result_type FROM schemas
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WHERE filename LIKE ? OR title LIKE ? OR description LIKE ?
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ORDER BY created_at DESC
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LIMIT ?
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""", (f"%{query}%", f"%{query}%", f"%{query}%", limit))
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for row in cursor.fetchall():
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data = self.resolver.row_to_dict(cursor, row)
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if data['schema_content']:
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try:
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data['schema_content'] = json.loads(data['schema_content'])
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except json.JSONDecodeError:
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data['schema_content'] = {}
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# Remove extra fields that don't belong to Schema
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schema_data = {k: v for k, v in data.items() if k != 'result_type'}
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# Calculate basic relevance score
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score = 1.0
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if query.lower() in data.get('title', '').lower():
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score += 0.5
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results.append(SearchResult(
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type="schema",
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score=score,
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schema=Schema(**schema_data),
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highlight=data.get('title', '') or data.get('filename', '')
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))
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conn.close()
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# Sort by score and limit
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results.sort(key=lambda x: x.score, reverse=True)
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return results[:limit]
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def resolve_database_stats(self, info):
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"""Resolve database statistics."""
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conn = self.resolver.get_connection()
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cursor = conn.cursor()
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# Count files
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cursor.execute("SELECT COUNT(*) FROM markdown_files")
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total_files = cursor.fetchone()[0]
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# Count schemas
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cursor.execute("SELECT COUNT(*) FROM schemas")
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total_schemas = cursor.fetchone()[0]
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# Get database size
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db_size = 0
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if os.path.exists(self.resolver.db_path):
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db_size = os.path.getsize(self.resolver.db_path)
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# Get last update time
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cursor.execute("""
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SELECT MAX(created_at) FROM (
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SELECT created_at FROM markdown_files
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UNION ALL
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SELECT created_at FROM schemas
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)
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""")
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last_updated_str = cursor.fetchone()[0]
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last_updated = None
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if last_updated_str:
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try:
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last_updated = datetime.fromisoformat(last_updated_str)
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except ValueError:
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pass
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conn.close()
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return DatabaseStats(
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total_files=total_files,
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total_schemas=total_schemas,
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total_size_bytes=db_size,
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last_updated=last_updated
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)
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def resolve_ast_query(self, info, jsonpath, file_id=None, filename=None):
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"""Resolve JSONPath query on AST."""
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if not file_id and not filename:
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return []
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# Get AST data
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ast = self.resolve_ast(info, file_id=file_id, filename=filename)
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if not ast or not ast.metadata:
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return []
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try:
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# Parse JSONPath expression
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jsonpath_expr = jsonpath_parse(jsonpath)
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# Apply to AST metadata (contains the raw AST)
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matches = jsonpath_expr.find(ast.metadata)
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# Return the matched values
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return [match.value for match in matches]
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except Exception:
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return []
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def _convert_ast_nodes(self, ast_data):
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"""Convert AST data to GraphQL ASTNode format."""
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if not ast_data or not isinstance(ast_data, dict):
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return []
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nodes = []
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if 'children' in ast_data:
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for child in ast_data['children']:
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node = ASTNode(
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type=child.get('type', 'unknown'),
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value=child.get('value'),
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level=child.get('depth'),
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attrs=child,
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children=self._convert_ast_nodes(child) if 'children' in child else []
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)
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nodes.append(node)
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return nodes
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def _count_nodes_by_type(self, ast_data, node_type):
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"""Count nodes of specific type in AST."""
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if not ast_data or not isinstance(ast_data, dict):
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return 0
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count = 0
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if ast_data.get('type') == node_type:
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count += 1
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if 'children' in ast_data:
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for child in ast_data['children']:
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count += self._count_nodes_by_type(child, node_type)
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return count
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def _extract_highlight(self, content, query, context_length=100):
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"""Extract highlighted snippet from content."""
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if not content or not query:
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return ""
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query_lower = query.lower()
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content_lower = content.lower()
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index = content_lower.find(query_lower)
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if index == -1:
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return content[:context_length] + "..." if len(content) > context_length else content
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start = max(0, index - context_length // 2)
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end = min(len(content), index + len(query) + context_length // 2)
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snippet = content[start:end]
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if start > 0:
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snippet = "..." + snippet
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if end < len(content):
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snippet = snippet + "..."
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return snippet
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def get_default_database_path():
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"""Get default database path for GraphQL resolvers."""
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import os
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from pathlib import Path
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# Use the same logic as CLI
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if 'MARKITECT_DB' in os.environ:
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return os.environ['MARKITECT_DB']
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config_dir = Path.home() / '.markitect'
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config_dir.mkdir(exist_ok=True)
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return str(config_dir / 'markitect.db')
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196
markitect/graphql/schema.py
Normal file
196
markitect/graphql/schema.py
Normal file
@@ -0,0 +1,196 @@
|
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"""
|
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GraphQL schema definition for MarkiTect data.
|
||||
|
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Defines the complete GraphQL schema for querying Markdown files,
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ASTs, schemas, and related metadata.
|
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"""
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import graphene
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from graphene import ObjectType, String, Int, DateTime, List, Field, JSONString
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from typing import Optional
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class FrontMatter(ObjectType):
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"""GraphQL type for front matter data."""
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key = String(required=True, description="Front matter key")
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value = JSONString(description="Front matter value (can be any JSON type)")
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class MarkdownFile(ObjectType):
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"""GraphQL type for markdown files stored in MarkiTect."""
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id = Int(required=True, description="Unique identifier")
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filename = String(required=True, description="File path/name")
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content = String(description="Markdown content")
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front_matter = List(FrontMatter, description="Parsed front matter data")
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front_matter_raw = JSONString(description="Raw front matter as JSON")
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created_at = DateTime(description="Creation timestamp")
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# Computed fields
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word_count = Int(description="Number of words in content")
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line_count = Int(description="Number of lines in content")
|
||||
has_front_matter = graphene.Boolean(description="Whether file has front matter")
|
||||
|
||||
def resolve_front_matter(self, info):
|
||||
"""Resolve front matter as key-value pairs."""
|
||||
if self.front_matter_raw:
|
||||
return [
|
||||
FrontMatter(key=k, value=v)
|
||||
for k, v in self.front_matter_raw.items()
|
||||
]
|
||||
return []
|
||||
|
||||
def resolve_word_count(self, info):
|
||||
"""Calculate word count."""
|
||||
if self.content:
|
||||
return len(self.content.split())
|
||||
return 0
|
||||
|
||||
def resolve_line_count(self, info):
|
||||
"""Calculate line count."""
|
||||
if self.content:
|
||||
return len(self.content.splitlines())
|
||||
return 0
|
||||
|
||||
def resolve_has_front_matter(self, info):
|
||||
"""Check if file has front matter."""
|
||||
return bool(self.front_matter_raw)
|
||||
|
||||
|
||||
class Schema(ObjectType):
|
||||
"""GraphQL type for JSON schemas."""
|
||||
id = Int(required=True, description="Unique identifier")
|
||||
filename = String(required=True, description="Schema filename")
|
||||
title = String(description="Schema title")
|
||||
description = String(description="Schema description")
|
||||
schema_content = JSONString(required=True, description="JSON schema content")
|
||||
created_at = DateTime(description="Creation timestamp")
|
||||
updated_at = DateTime(description="Last update timestamp")
|
||||
|
||||
# Computed fields
|
||||
schema_version = String(description="JSON Schema version")
|
||||
property_count = Int(description="Number of properties in schema")
|
||||
|
||||
def resolve_schema_version(self, info):
|
||||
"""Extract schema version."""
|
||||
if self.schema_content and isinstance(self.schema_content, dict):
|
||||
return self.schema_content.get('$schema', 'Unknown')
|
||||
return 'Unknown'
|
||||
|
||||
def resolve_property_count(self, info):
|
||||
"""Count properties in schema."""
|
||||
if (self.schema_content and
|
||||
isinstance(self.schema_content, dict) and
|
||||
'properties' in self.schema_content):
|
||||
return len(self.schema_content['properties'])
|
||||
return 0
|
||||
|
||||
|
||||
class ASTNode(ObjectType):
|
||||
"""GraphQL type for AST nodes."""
|
||||
type = String(required=True, description="Node type")
|
||||
value = String(description="Node value/content")
|
||||
level = Int(description="Heading level (for heading nodes)")
|
||||
children = List(lambda: ASTNode, description="Child nodes")
|
||||
attrs = JSONString(description="Node attributes")
|
||||
|
||||
|
||||
class AST(ObjectType):
|
||||
"""GraphQL type for parsed AST."""
|
||||
file_id = Int(description="Associated file ID")
|
||||
filename = String(required=True, description="Source filename")
|
||||
tree = List(ASTNode, description="AST tree structure")
|
||||
metadata = JSONString(description="AST metadata")
|
||||
|
||||
# Statistics
|
||||
heading_count = Int(description="Number of headings")
|
||||
link_count = Int(description="Number of links")
|
||||
image_count = Int(description="Number of images")
|
||||
code_block_count = Int(description="Number of code blocks")
|
||||
|
||||
|
||||
class DatabaseStats(ObjectType):
|
||||
"""Database statistics."""
|
||||
total_files = Int(description="Total number of markdown files")
|
||||
total_schemas = Int(description="Total number of schemas")
|
||||
total_size_bytes = Int(description="Total database size in bytes")
|
||||
last_updated = DateTime(description="Last database update")
|
||||
|
||||
|
||||
class SearchResult(ObjectType):
|
||||
"""Search result union type."""
|
||||
type = String(required=True, description="Result type (file, schema)")
|
||||
score = graphene.Float(description="Search relevance score")
|
||||
file = Field(MarkdownFile, description="Matched file (if type=file)")
|
||||
schema = Field(Schema, description="Matched schema (if type=schema)")
|
||||
highlight = String(description="Highlighted match text")
|
||||
|
||||
|
||||
class Query(ObjectType):
|
||||
"""Root GraphQL query type."""
|
||||
|
||||
# Single item queries
|
||||
markdown_file = Field(
|
||||
MarkdownFile,
|
||||
id=Int(description="File ID"),
|
||||
filename=String(description="File path"),
|
||||
description="Get a specific markdown file"
|
||||
)
|
||||
|
||||
schema = Field(
|
||||
Schema,
|
||||
id=Int(description="Schema ID"),
|
||||
filename=String(description="Schema filename"),
|
||||
description="Get a specific schema"
|
||||
)
|
||||
|
||||
ast = Field(
|
||||
AST,
|
||||
file_id=Int(description="File ID"),
|
||||
filename=String(description="File path"),
|
||||
description="Get AST for a specific file"
|
||||
)
|
||||
|
||||
# List queries
|
||||
markdown_files = List(
|
||||
MarkdownFile,
|
||||
limit=Int(default_value=50, description="Maximum number of results"),
|
||||
offset=Int(default_value=0, description="Offset for pagination"),
|
||||
has_front_matter=graphene.Boolean(description="Filter by front matter presence"),
|
||||
created_after=DateTime(description="Filter by creation date"),
|
||||
description="List markdown files with optional filtering"
|
||||
)
|
||||
|
||||
schemas = List(
|
||||
Schema,
|
||||
limit=Int(default_value=50, description="Maximum number of results"),
|
||||
offset=Int(default_value=0, description="Offset for pagination"),
|
||||
description="List all schemas"
|
||||
)
|
||||
|
||||
# Search
|
||||
search = List(
|
||||
SearchResult,
|
||||
query=String(required=True, description="Search query"),
|
||||
type=String(description="Search type filter (file, schema, all)"),
|
||||
limit=Int(default_value=20, description="Maximum number of results"),
|
||||
description="Search across files and schemas"
|
||||
)
|
||||
|
||||
# Statistics
|
||||
database_stats = Field(
|
||||
DatabaseStats,
|
||||
description="Get database statistics"
|
||||
)
|
||||
|
||||
# JSONPath queries for ASTs
|
||||
ast_query = List(
|
||||
JSONString,
|
||||
file_id=Int(),
|
||||
filename=String(),
|
||||
jsonpath=String(required=True, description="JSONPath expression"),
|
||||
description="Query AST using JSONPath expressions"
|
||||
)
|
||||
|
||||
|
||||
# Create the schema
|
||||
schema = graphene.Schema(query=Query)
|
||||
255
markitect/graphql/server.py
Normal file
255
markitect/graphql/server.py
Normal file
@@ -0,0 +1,255 @@
|
||||
"""
|
||||
GraphQL server implementation for MarkiTect.
|
||||
|
||||
Provides a standalone GraphQL server and integration components
|
||||
for serving the MarkiTect GraphQL API.
|
||||
"""
|
||||
|
||||
import json
|
||||
from typing import Optional, Dict, Any
|
||||
from pathlib import Path
|
||||
|
||||
try:
|
||||
from flask import Flask, request, jsonify
|
||||
from flask_cors import CORS
|
||||
FLASK_AVAILABLE = True
|
||||
except ImportError:
|
||||
FLASK_AVAILABLE = False
|
||||
|
||||
from .schema import schema
|
||||
from .resolvers import Query
|
||||
|
||||
|
||||
class GraphQLServer:
|
||||
"""GraphQL server for MarkiTect API."""
|
||||
|
||||
def __init__(self, db_path: Optional[str] = None, enable_cors: bool = True):
|
||||
"""
|
||||
Initialize GraphQL server.
|
||||
|
||||
Args:
|
||||
db_path: Path to MarkiTect database
|
||||
enable_cors: Enable CORS for web browser access
|
||||
"""
|
||||
self.db_path = db_path or self._get_default_db_path()
|
||||
self.enable_cors = enable_cors
|
||||
self.app = None
|
||||
|
||||
if not FLASK_AVAILABLE:
|
||||
raise ImportError(
|
||||
"Flask is required for GraphQL server. Install with: pip install flask flask-cors"
|
||||
)
|
||||
|
||||
def _get_default_db_path(self) -> str:
|
||||
"""Get default database path."""
|
||||
from .resolvers import get_default_database_path
|
||||
return get_default_database_path()
|
||||
|
||||
def create_app(self) -> Flask:
|
||||
"""Create Flask application with GraphQL endpoint."""
|
||||
app = Flask(__name__)
|
||||
|
||||
if self.enable_cors:
|
||||
CORS(app)
|
||||
|
||||
@app.route('/graphql', methods=['POST'])
|
||||
def graphql_endpoint():
|
||||
"""Handle GraphQL requests."""
|
||||
try:
|
||||
# Parse request data
|
||||
data = request.get_json()
|
||||
if not data:
|
||||
return jsonify({'error': 'No JSON data provided'}), 400
|
||||
|
||||
query = data.get('query')
|
||||
variables = data.get('variables', {})
|
||||
operation_name = data.get('operationName')
|
||||
|
||||
if not query:
|
||||
return jsonify({'error': 'No query provided'}), 400
|
||||
|
||||
# Execute GraphQL query
|
||||
result = schema.execute(
|
||||
query,
|
||||
variables=variables,
|
||||
operation_name=operation_name,
|
||||
context={'db_path': self.db_path}
|
||||
)
|
||||
|
||||
# Format response
|
||||
response_data = {'data': result.data}
|
||||
if result.errors:
|
||||
response_data['errors'] = [
|
||||
{'message': str(error)} for error in result.errors
|
||||
]
|
||||
|
||||
return jsonify(response_data)
|
||||
|
||||
except Exception as e:
|
||||
return jsonify({
|
||||
'errors': [{'message': f'Server error: {str(e)}'}]
|
||||
}), 500
|
||||
|
||||
@app.route('/graphql', methods=['GET'])
|
||||
def graphql_playground():
|
||||
"""Serve GraphQL playground for development."""
|
||||
return '''
|
||||
<!DOCTYPE html>
|
||||
<html>
|
||||
<head>
|
||||
<title>MarkiTect GraphQL Playground</title>
|
||||
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/graphql-playground-react/build/static/css/index.css" />
|
||||
</head>
|
||||
<body>
|
||||
<div id="root">
|
||||
<style>
|
||||
body { margin: 0; font-family: Open Sans, sans-serif; overflow: hidden; }
|
||||
#root { height: 100vh; }
|
||||
</style>
|
||||
</div>
|
||||
<script src="https://cdn.jsdelivr.net/npm/graphql-playground-react/build/static/js/middleware.js"></script>
|
||||
<script>
|
||||
window.addEventListener('load', function (event) {
|
||||
GraphQLPlayground.init(document.getElementById('root'), {
|
||||
endpoint: '/graphql',
|
||||
settings: {
|
||||
'general.betaUpdates': false,
|
||||
'editor.theme': 'dark',
|
||||
'editor.reuseHeaders': true,
|
||||
'tracing.hideTracingResponse': true,
|
||||
}
|
||||
})
|
||||
})
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
'''
|
||||
|
||||
@app.route('/schema', methods=['GET'])
|
||||
def get_schema():
|
||||
"""Get GraphQL schema definition."""
|
||||
try:
|
||||
from graphql.utilities import print_schema
|
||||
schema_sdl = print_schema(schema.graphql_schema)
|
||||
except (AttributeError, ImportError):
|
||||
# Fallback to simple introspection
|
||||
schema_sdl = str(schema)
|
||||
|
||||
return jsonify({
|
||||
'schema': schema_sdl
|
||||
})
|
||||
|
||||
@app.route('/health', methods=['GET'])
|
||||
def health_check():
|
||||
"""Health check endpoint."""
|
||||
try:
|
||||
# Test database connection
|
||||
import sqlite3
|
||||
conn = sqlite3.connect(self.db_path)
|
||||
cursor = conn.cursor()
|
||||
cursor.execute("SELECT 1")
|
||||
conn.close()
|
||||
|
||||
return jsonify({
|
||||
'status': 'healthy',
|
||||
'database': 'connected',
|
||||
'database_path': self.db_path
|
||||
})
|
||||
except Exception as e:
|
||||
return jsonify({
|
||||
'status': 'unhealthy',
|
||||
'database': 'error',
|
||||
'error': str(e)
|
||||
}), 500
|
||||
|
||||
self.app = app
|
||||
return app
|
||||
|
||||
def run(self, host: str = '127.0.0.1', port: int = 5000, debug: bool = False):
|
||||
"""
|
||||
Run the GraphQL server.
|
||||
|
||||
Args:
|
||||
host: Host to bind to
|
||||
port: Port to bind to
|
||||
debug: Enable debug mode
|
||||
"""
|
||||
if not self.app:
|
||||
self.create_app()
|
||||
|
||||
print(f"🚀 MarkiTect GraphQL Server starting...")
|
||||
print(f"🔗 GraphQL endpoint: http://{host}:{port}/graphql")
|
||||
print(f"🎮 GraphQL playground: http://{host}:{port}/graphql")
|
||||
print(f"📊 Schema introspection: http://{host}:{port}/schema")
|
||||
print(f"❤️ Health check: http://{host}:{port}/health")
|
||||
|
||||
self.app.run(host=host, port=port, debug=debug)
|
||||
|
||||
|
||||
class GraphQLClient:
|
||||
"""Simple GraphQL client for testing and CLI integration."""
|
||||
|
||||
def __init__(self, endpoint: str = "http://localhost:5000/graphql"):
|
||||
"""
|
||||
Initialize GraphQL client.
|
||||
|
||||
Args:
|
||||
endpoint: GraphQL endpoint URL
|
||||
"""
|
||||
self.endpoint = endpoint
|
||||
|
||||
def execute(self, query: str, variables: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:
|
||||
"""
|
||||
Execute GraphQL query.
|
||||
|
||||
Args:
|
||||
query: GraphQL query string
|
||||
variables: Query variables
|
||||
|
||||
Returns:
|
||||
Query result dictionary
|
||||
"""
|
||||
try:
|
||||
import requests
|
||||
|
||||
payload = {
|
||||
'query': query,
|
||||
'variables': variables or {}
|
||||
}
|
||||
|
||||
response = requests.post(
|
||||
self.endpoint,
|
||||
json=payload,
|
||||
headers={'Content-Type': 'application/json'}
|
||||
)
|
||||
|
||||
return response.json()
|
||||
|
||||
except ImportError:
|
||||
raise ImportError("requests is required for GraphQL client. Install with: pip install requests")
|
||||
|
||||
def execute_local(self, query: str, variables: Optional[Dict[str, Any]] = None, context: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:
|
||||
"""
|
||||
Execute GraphQL query directly (without HTTP).
|
||||
|
||||
Args:
|
||||
query: GraphQL query string
|
||||
variables: Query variables
|
||||
context: GraphQL context
|
||||
|
||||
Returns:
|
||||
Query result dictionary
|
||||
"""
|
||||
result = schema.execute(
|
||||
query,
|
||||
variables=variables or {},
|
||||
context=context or {}
|
||||
)
|
||||
|
||||
response_data = {'data': result.data}
|
||||
if result.errors:
|
||||
response_data['errors'] = [
|
||||
{'message': str(error)} for error in result.errors
|
||||
]
|
||||
|
||||
return response_data
|
||||
Reference in New Issue
Block a user