This commit migrates all models to Pydantic v2 and adds comprehensive
testing infrastructure for the news-engine-console backend.
Model Changes (Pydantic v2 Migration):
- Removed PyObjectId custom validators (v1 pattern incompatible with v2)
- Changed all model id fields from Optional[PyObjectId] to Optional[str]
- Replaced class Config with model_config = ConfigDict(populate_by_name=True)
- Updated User, Keyword, Pipeline, and Application models
Service Changes (ObjectId Handling):
- Added ObjectId to string conversion in all service methods before creating model instances
- Updated UserService: get_users(), get_user_by_id(), get_user_by_username()
- Updated KeywordService: 6 methods with ObjectId conversions
- Updated PipelineService: 8 methods with ObjectId conversions
- Updated ApplicationService: 6 methods with ObjectId conversions
Testing Infrastructure:
- Created comprehensive test_api.py (700+ lines) with 8 test suites:
* Health check, Authentication, Users API, Keywords API, Pipelines API,
Applications API, Monitoring API
- Created test_motor.py for debugging Motor async MongoDB connection
- Added Dockerfile for containerized deployment
- Created fix_objectid.py helper script for automated ObjectId conversion
Configuration Updates:
- Changed backend port from 8100 to 8101 (avoid conflict with pipeline_monitor)
- Made get_database() async for proper FastAPI dependency injection
- Updated DB_NAME from ai_writer_db to news_engine_console_db
Bug Fixes:
- Fixed environment variable override issue (system env > .env file)
- Fixed Pydantic v2 validator incompatibility causing TypeError
- Fixed list comprehension in bulk_create_keywords to properly convert ObjectIds
Test Results:
- All 8 test suites passing (100% success rate)
- Tested 37 API endpoints across all services
- No validation errors or ObjectId conversion issues
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
37 lines
1.5 KiB
Python
37 lines
1.5 KiB
Python
from datetime import datetime
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from typing import Optional, Dict, Any
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from pydantic import BaseModel, Field, ConfigDict
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class Keyword(BaseModel):
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"""Keyword data model for pipeline management"""
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model_config = ConfigDict(
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populate_by_name=True,
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json_schema_extra={
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"example": {
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"keyword": "도널드 트럼프",
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"category": "people",
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"status": "active",
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"pipeline_type": "all",
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"priority": 8,
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"metadata": {
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"description": "Former US President",
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"aliases": ["Donald Trump", "Trump"]
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},
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"created_by": "admin"
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}
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}
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)
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id: Optional[str] = Field(default=None, alias="_id")
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keyword: str = Field(..., min_length=1, max_length=200)
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category: str = Field(..., description="Category: people, topics, companies")
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status: str = Field(default="active", description="Status: active, inactive")
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pipeline_type: str = Field(default="all", description="Pipeline type: rss, translation, all")
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priority: int = Field(default=5, ge=1, le=10, description="Priority level 1-10")
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metadata: Dict[str, Any] = Field(default_factory=dict)
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created_at: datetime = Field(default_factory=datetime.utcnow)
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updated_at: datetime = Field(default_factory=datetime.utcnow)
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created_by: Optional[str] = Field(default=None, description="User ID who created this keyword")
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