98fa16bfc3
Full-stack Amazon AI Transcreation Platform with: - FastAPI backend (async, PostgreSQL, Redis, Celery) with 11 DB tables - JWT auth (SSO-ready abstract provider pattern) - 6-agent pipeline orchestrator with deterministic modules - Next.js 14 frontend with Amazon branding (Ember fonts, orange/dark theme) - Job wizard, monitoring HUD, output review, admin screens - 154 TM/reference files imported, 12 locales configured - Docker Compose for all services Agents 2-5 (TM retrieval, ranker, transcreator, compliance) are stubs pending Phase 3 LLM integration. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
50 lines
1.7 KiB
Python
50 lines
1.7 KiB
Python
from datetime import datetime
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from typing import Any
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from uuid import UUID
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from fastapi import APIRouter, Depends, Query
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.dependencies import get_current_user, get_db
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from app.services.report_service import ReportService
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router = APIRouter(prefix="/reports", tags=["reports"])
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report_service = ReportService()
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@router.get("/usage")
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async def get_usage_stats(
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client_id: UUID | None = Query(None),
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date_from: datetime | None = Query(None),
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date_to: datetime | None = Query(None),
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db: AsyncSession = Depends(get_db),
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current_user: dict = Depends(get_current_user),
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) -> dict[str, Any]:
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"""Get usage statistics (total jobs, tokens, cost, status breakdown)."""
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return await report_service.get_usage_stats(
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db, client_id=client_id, date_from=date_from, date_to=date_to
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)
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@router.get("/tokens")
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async def get_token_cost_data(
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client_id: UUID | None = Query(None),
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date_from: datetime | None = Query(None),
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date_to: datetime | None = Query(None),
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db: AsyncSession = Depends(get_db),
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current_user: dict = Depends(get_current_user),
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) -> list[dict[str, Any]]:
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"""Get token usage and cost data grouped by day."""
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return await report_service.get_token_cost_data(
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db, client_id=client_id, date_from=date_from, date_to=date_to
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)
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@router.get("/quality")
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async def get_quality_metrics(
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client_id: UUID | None = Query(None),
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db: AsyncSession = Depends(get_db),
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current_user: dict = Depends(get_current_user),
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) -> dict[str, Any]:
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"""Get quality metrics (confidence tier distribution, feedback stats)."""
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return await report_service.get_quality_metrics(db, client_id=client_id)
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