07088e60e9
Phase 1 Backend Implementation: - ✅ MongoDB data models (Keyword, Pipeline, User, Application) - ✅ Pydantic schemas for all models with validation - ✅ KeywordService: Full CRUD, filtering, pagination, stats, toggle status - ✅ PipelineService: Full CRUD, start/stop/restart, logs, config management - ✅ Keywords API: 8 endpoints with complete functionality - ✅ Pipelines API: 11 endpoints with complete functionality - ✅ Updated TODO.md to reflect completion Key Features: - Async MongoDB operations with Motor - Comprehensive filtering and pagination support - Pipeline logging system - Statistics tracking for keywords and pipelines - Proper error handling with HTTP status codes - Type-safe request/response models Files Added: - models/: 4 data models with PyObjectId support - schemas/: 4 schema modules with Create/Update/Response patterns - services/: KeywordService (234 lines) + PipelineService (332 lines) Files Modified: - api/keywords.py: 40 → 212 lines (complete implementation) - api/pipelines.py: 25 → 300 lines (complete implementation) - TODO.md: Updated checklist with completed items Next Steps: - UserService with authentication - ApplicationService for OAuth2 - MonitoringService - Redis integration - Frontend implementation 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
from datetime import datetime
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from typing import Optional
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from pydantic import BaseModel, Field, EmailStr
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from bson import ObjectId
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class PyObjectId(ObjectId):
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"""Custom ObjectId type for Pydantic"""
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@classmethod
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def __get_validators__(cls):
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yield cls.validate
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@classmethod
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def validate(cls, v):
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if not ObjectId.is_valid(v):
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raise ValueError("Invalid ObjectId")
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return ObjectId(v)
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@classmethod
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def __get_pydantic_json_schema__(cls, field_schema):
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field_schema.update(type="string")
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class User(BaseModel):
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"""User data model for authentication and authorization"""
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id: Optional[PyObjectId] = Field(default=None, alias="_id")
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username: str = Field(..., min_length=3, max_length=50)
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email: EmailStr = Field(...)
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hashed_password: str = Field(...)
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full_name: str = Field(..., min_length=1, max_length=100)
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role: str = Field(default="viewer", description="Role: admin, editor, viewer")
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disabled: bool = Field(default=False)
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created_at: datetime = Field(default_factory=datetime.utcnow)
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last_login: Optional[datetime] = None
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class Config:
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populate_by_name = True
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arbitrary_types_allowed = True
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json_encoders = {ObjectId: str}
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json_schema_extra = {
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"example": {
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"username": "johndoe",
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"email": "johndoe@example.com",
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"full_name": "John Doe",
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"role": "editor",
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"disabled": False
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}
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}
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