modcomms/backend/app/api/schemas.py
michael 99af0164e6 Add PostgreSQL database support with Alembic migrations
Backend:
- Add PostgreSQL service to docker-compose with health checks
- Add SQLAlchemy async models for all entities (Agency, User, Campaign,
  Proof, ProofVersion, FlaggedItem, ResolvedItem, ErrorItem)
- Add Alembic migration framework with initial schema migration
- Add repository layer for CRUD operations
- Add REST API endpoints for campaigns, proofs, and audit items
- Add file storage service for proof uploads
- Update WebSocket handler to optionally persist analysis results

Frontend:
- Add apiService.ts for REST API communication
- Update geminiService.ts to support database persistence options

Deployment:
- Update deploy.sh to handle database migrations (6-step process)
- Update Dockerfile to include alembic configuration
- Add PostgreSQL environment variables to .env templates

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-16 12:27:18 -06:00

165 lines
3.6 KiB
Python

"""Pydantic schemas for API request/response validation."""
import uuid
from datetime import datetime
from typing import Optional
from pydantic import BaseModel
# Campaign schemas
class CampaignCreate(BaseModel):
name: str
workfront_id: Optional[str] = None
client_lead: Optional[str] = None
agency_lead: Optional[str] = None
brand_guidelines: Optional[str] = None
class CampaignUpdate(BaseModel):
name: Optional[str] = None
workfront_id: Optional[str] = None
client_lead: Optional[str] = None
agency_lead: Optional[str] = None
brand_guidelines: Optional[str] = None
status: Optional[str] = None
class CampaignResponse(BaseModel):
id: uuid.UUID
name: str
workfront_id: Optional[str]
client_lead: Optional[str]
agency_lead: Optional[str]
brand_guidelines: Optional[str]
status: str
agency: Optional[str]
created_at: datetime
updated_at: datetime
proofs: int = 0
class Config:
from_attributes = True
# Proof schemas
class ProofCreate(BaseModel):
proof_name: str
channel: Optional[str] = None
sub_channel: Optional[str] = None
proof_type: Optional[str] = None
class ProofVersionResponse(BaseModel):
id: uuid.UUID
version: int
file_storage_key: Optional[str]
thumbnail_url: Optional[str]
agent_review: Optional[dict]
overall_status: Optional[str]
workfront_id: Optional[str]
created_at: datetime
class Config:
from_attributes = True
class ProofResponse(BaseModel):
id: uuid.UUID
proof_name: str
channel: Optional[str]
sub_channel: Optional[str]
proof_type: Optional[str]
workfront_id: Optional[str]
created_at: datetime
versions: list[ProofVersionResponse] = []
class Config:
from_attributes = True
# Audit schemas
class FlaggedItemCreate(BaseModel):
proof_version_id: uuid.UUID
agent_flagged: str
comments: Optional[str] = None
class FlaggedItemResponse(BaseModel):
id: uuid.UUID
proof_version_id: uuid.UUID
agent_flagged: str
comments: Optional[str]
submitter_name: Optional[str]
submitter_agency: Optional[str]
campaign_name: Optional[str]
proof_name: Optional[str]
version: Optional[int]
created_at: datetime
class Config:
from_attributes = True
class ResolvedItemCreate(BaseModel):
proof_version_id: uuid.UUID
agent: str
issue: Optional[str] = None
resolution: Optional[str] = None
class ResolvedItemResponse(BaseModel):
id: uuid.UUID
proof_version_id: uuid.UUID
agent: str
issue: Optional[str]
resolution: Optional[str]
submitter_name: Optional[str]
submitter_agency: Optional[str]
campaign_name: Optional[str]
proof_name: Optional[str]
version: Optional[int]
created_at: datetime
class Config:
from_attributes = True
class ErrorItemResponse(BaseModel):
id: uuid.UUID
proof_version_id: uuid.UUID
error_summary: Optional[str]
campaign_name: Optional[str]
proof_name: Optional[str]
version: Optional[int]
created_at: datetime
class Config:
from_attributes = True
# Analytics schemas
class AnalyticsResponse(BaseModel):
total_reviews: int
passed: int
failed: int
errors: int
legal_review: int
# Dropdown options schemas
class DropdownOptionsResponse(BaseModel):
campaigns: list[str]
channels: dict[str, dict[str, list[str]]]
# User schemas
class UserResponse(BaseModel):
id: uuid.UUID
email: str
name: str
role: str
agency: Optional[str]
created_at: datetime
class Config:
from_attributes = True