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>
7 lines
310 B
Python
7 lines
310 B
Python
from app.models.gmal import GmalAsset, Role, GmalHours, GmalServiceLine, RoleLevelMapping
|
|
from app.models.project import Project, ClientAsset, Match, RatecardLine
|
|
|
|
__all__ = [
|
|
"GmalAsset", "Role", "GmalHours", "GmalServiceLine", "RoleLevelMapping",
|
|
"Project", "ClientAsset", "Match", "RatecardLine",
|
|
]
|