e18976fdb2
Dockerized web app (FastAPI + React + PostgreSQL) for scoping client ratecards against the GMAL master asset database. Features: - GMAL data ingestion from Excel (390 assets, 120 roles, 5 model types) - AI-powered document parsing and asset extraction (Claude Opus 4.6) - AI matching engine with parallel batching, confidence scoring, caveats - Ratecard builder with hours x volume calculation - Excel and PDF export - GMAL browser and inline editor - AI cost tracking per project (persisted to DB) - Debug panel for AI call inspection - Dark theme UI with gold (#FFC407) accent Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from app.api import gmal, ingest, projects, matching, ratecard
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app = FastAPI(title="Scope Builder", version="1.0.0")
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["http://localhost:3000", "http://localhost:3001", "http://localhost:3010"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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app.include_router(gmal.router, prefix="/api/gmal", tags=["GMAL"])
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app.include_router(ingest.router, prefix="/api/gmal", tags=["Ingest"])
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app.include_router(projects.router, prefix="/api/projects", tags=["Projects"])
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app.include_router(matching.router, prefix="/api/projects", tags=["Matching"])
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app.include_router(ratecard.router, prefix="/api/projects", tags=["Ratecard"])
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@app.get("/api/health")
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async def health():
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return {"status": "ok"}
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@app.get("/api/ai/usage")
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async def ai_usage():
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from app.utils.claude_client import get_usage_stats
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return get_usage_stats()
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@app.post("/api/ai/usage/reset")
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async def ai_usage_reset():
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from app.utils.claude_client import reset_usage_stats
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reset_usage_stats()
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return {"detail": "Usage stats reset"}
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@app.get("/api/ai/debug")
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async def ai_debug():
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from app.utils.claude_client import get_debug_log
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return get_debug_log()
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