Files
site11/services/news-engine-console/backend/app/models/pipeline.py
jungwoo choi 1d461a7ded test: Fix Pydantic v2 compatibility and comprehensive API testing
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>
2025-11-04 17:17:54 +09:00

52 lines
1.9 KiB
Python

from datetime import datetime
from typing import Optional, Dict, Any
from pydantic import BaseModel, Field, ConfigDict
class PipelineStats(BaseModel):
"""Pipeline statistics"""
total_processed: int = Field(default=0)
success_count: int = Field(default=0)
error_count: int = Field(default=0)
last_run: Optional[datetime] = None
average_duration_seconds: Optional[float] = None
class Pipeline(BaseModel):
"""Pipeline data model for process management"""
model_config = ConfigDict(
populate_by_name=True,
json_schema_extra={
"example": {
"name": "RSS Collector - Politics",
"type": "rss_collector",
"status": "running",
"config": {
"interval_minutes": 30,
"max_articles": 100,
"categories": ["politics"]
},
"schedule": "*/30 * * * *",
"stats": {
"total_processed": 1523,
"success_count": 1500,
"error_count": 23,
"average_duration_seconds": 45.2
}
}
}
)
id: Optional[str] = Field(default=None, alias="_id")
name: str = Field(..., min_length=1, max_length=100)
type: str = Field(..., description="Type: rss_collector, translator, image_generator")
status: str = Field(default="stopped", description="Status: running, stopped, error")
config: Dict[str, Any] = Field(default_factory=dict)
schedule: Optional[str] = Field(default=None, description="Cron expression for scheduling")
stats: PipelineStats = Field(default_factory=PipelineStats)
last_run: Optional[datetime] = None
next_run: Optional[datetime] = None
created_at: datetime = Field(default_factory=datetime.utcnow)
updated_at: datetime = Field(default_factory=datetime.utcnow)