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fix(api): v4.1 — sliding window rate limiter, RAG TTL, input validation, proper IP extraction
Browse files- api/main.py +1 -435
api/main.py
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ClauseGuard — FastAPI Backend v4.0
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══════════════════════════════════
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New in v4.0:
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• /api/redline — clause redlining suggestions
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• /api/chat — RAG chatbot (streaming)
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• /api/ocr — OCR scanned PDF extraction
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• Updated analysis to include redlining data
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"""
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import os
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import re
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import json
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import time
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import uuid
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import tempfile
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from contextlib import asynccontextmanager
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from typing import Optional
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from collections import defaultdict
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from datetime import datetime
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import httpx
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import numpy as np
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from fastapi import FastAPI, HTTPException, Depends, Body, Request, UploadFile, File as FastAPIFile
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import StreamingResponse
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from pydantic import BaseModel, Field
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from auth import get_current_user, require_auth
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# ── Import shared modules ──
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import sys
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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try:
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from app import (
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split_clauses, classify_cuad, extract_entities,
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detect_contradictions, compute_risk_score, analyze_contract,
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CUAD_LABELS, RISK_MAP, DESC_MAP, _model_status,
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cuad_model, cuad_tokenizer
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)
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from obligations import extract_obligations
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from compliance import check_compliance
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from compare import compare_contracts
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from redlining import generate_redlines
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from chatbot import index_contract, chat_respond
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from ocr_engine import parse_pdf_smart, get_ocr_status
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_SHARED_MODULES = True
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except ImportError as e:
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_SHARED_MODULES = False
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print(f"[API] WARNING: Could not import shared modules: {e}")
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# ─── Config ───
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SUPABASE_URL = os.environ.get("SUPABASE_URL", "")
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SUPABASE_SERVICE_KEY = os.environ.get("SUPABASE_SERVICE_ROLE_KEY", "")
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HF_API_TOKEN = os.environ.get("HF_API_TOKEN", "")
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SAULLM_ENDPOINT = os.environ.get("SAULLM_ENDPOINT", "")
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MAX_TEXT_LENGTH = int(os.environ.get("MAX_TEXT_LENGTH", "100000"))
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# ─── Rate Limiting ───
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_rate_limits = {}
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RATE_LIMIT_REQUESTS = 30
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RATE_LIMIT_WINDOW = 60
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def _check_rate_limit(client_ip: str) -> bool:
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now = time.time()
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if client_ip in _rate_limits:
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count, window_start = _rate_limits[client_ip]
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if now - window_start > RATE_LIMIT_WINDOW:
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_rate_limits[client_ip] = (1, now)
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return True
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if count >= RATE_LIMIT_REQUESTS:
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return False
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_rate_limits[client_ip] = (count + 1, window_start)
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return True
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_rate_limits[client_ip] = (1, now)
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return True
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# ─── Supabase helper ───
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async def supabase_insert(table: str, data: dict):
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if not SUPABASE_URL or not SUPABASE_SERVICE_KEY:
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return
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try:
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async with httpx.AsyncClient() as client:
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await client.post(
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f"{SUPABASE_URL}/rest/v1/{table}",
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json=data,
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headers={
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"apikey": SUPABASE_SERVICE_KEY,
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"Authorization": f"Bearer {SUPABASE_SERVICE_KEY}",
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"Content-Type": "application/json",
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"Prefer": "return=minimal",
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},
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timeout=10.0,
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)
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except Exception:
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pass
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async def supabase_query(table: str, params: dict, headers_extra: dict = {}):
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if not SUPABASE_URL or not SUPABASE_SERVICE_KEY:
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return []
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try:
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async with httpx.AsyncClient() as client:
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resp = await client.get(
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f"{SUPABASE_URL}/rest/v1/{table}",
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params=params,
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headers={
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"apikey": SUPABASE_SERVICE_KEY,
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"Authorization": f"Bearer {SUPABASE_SERVICE_KEY}",
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**headers_extra,
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},
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timeout=10.0,
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)
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return resp.json() if resp.status_code == 200 else []
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except Exception:
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return []
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# ─── In-memory RAG session store ───
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_rag_sessions: dict = {}
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_RAG_SESSION_MAX = 100
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# ─── Request/Response Models ───
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class AnalyzeRequest(BaseModel):
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text: Optional[str] = Field(None, min_length=50)
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clauses: Optional[list] = None
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source_url: Optional[str] = None
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class CompareRequest(BaseModel):
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text_a: str = Field(..., min_length=50)
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text_b: str = Field(..., min_length=50)
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class ExplainRequest(BaseModel):
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clause: str = Field(..., min_length=10, max_length=2000)
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category: str
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class ExplainResponse(BaseModel):
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clause: str
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category: str
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explanation: str
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legal_basis: str
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recommendation: str
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class ChatRequest(BaseModel):
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message: str = Field(..., min_length=1, max_length=2000)
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session_id: str
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history: Optional[list[dict]] = None
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class RedlineRequest(BaseModel):
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session_id: Optional[str] = None
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text: Optional[str] = None
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use_llm: bool = True
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# ─── App ───
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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yield
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app = FastAPI(title="ClauseGuard API", version="4.0.0", lifespan=lifespan)
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ALLOWED_ORIGINS = [
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"https://clauseguardweb.netlify.app",
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"http://localhost:3000",
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"http://localhost:3001",
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]
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app.add_middleware(
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CORSMiddleware,
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allow_origins=ALLOWED_ORIGINS,
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allow_origin_regex=r"^chrome-extension://.*$",
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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.get("/health")
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async def health():
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model_status = "ml" if _SHARED_MODULES and cuad_model else "regex"
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ocr_status = get_ocr_status() if _SHARED_MODULES else "unavailable"
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return {
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"status": "ok",
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"model": model_status,
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"version": "4.0.0",
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"shared_modules": _SHARED_MODULES,
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"ocr": ocr_status,
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"features": ["analyze", "compare", "redline", "chat", "ocr"],
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}
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@app.post("/api/analyze")
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async def analyze(req: AnalyzeRequest, request: Request, user: Optional[dict] = Depends(get_current_user)):
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client_ip = request.client.host if request.client else "unknown"
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if not _check_rate_limit(client_ip):
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raise HTTPException(status_code=429, detail="Rate limit exceeded.")
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text = req.text
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if not text and req.clauses:
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text = "\n\n".join(req.clauses) if isinstance(req.clauses, list) else str(req.clauses)
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if not text or len(text.strip()) < 50:
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raise HTTPException(status_code=400, detail="Text too short (minimum 50 characters)")
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if len(text) > MAX_TEXT_LENGTH:
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raise HTTPException(status_code=400, detail=f"Text too long (max {MAX_TEXT_LENGTH} chars)")
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start = time.time()
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clauses = split_clauses(text)
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if not clauses:
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raise HTTPException(status_code=400, detail="No clauses detected")
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clause_results = []
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for clause in clauses:
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predictions = classify_cuad(clause)
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if predictions:
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for pred in predictions:
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clause_results.append({
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"text": clause,
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"label": pred["label"],
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"confidence": pred["confidence"],
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"risk": pred["risk"],
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"description": pred["description"],
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"source": pred.get("source", "unknown"),
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})
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entities = extract_entities(text)
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contradictions = detect_contradictions(clause_results, text)
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risk, grade, sev_counts = compute_risk_score(clause_results, len(clauses))
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obligations = extract_obligations(text)
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compliance = check_compliance(text)
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# v4.0: Redlining
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analysis_for_redline = {"clauses": clause_results}
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redlines = []
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try:
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redlines = generate_redlines(analysis_for_redline, use_llm=True)
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except Exception as e:
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print(f"[API] Redlining error: {e}")
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latency = int((time.time() - start) * 1000)
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results_for_db = []
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for cr in clause_results:
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results_for_db.append({
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"text": cr["text"],
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"categories": [{
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"name": cr["label"],
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"severity": cr["risk"],
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"confidence": cr["confidence"],
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"description": cr["description"],
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}],
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})
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# v4.0: RAG indexing
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session_id = None
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try:
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chunks, embeddings, _status = index_contract(text)
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if chunks and embeddings is not None:
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session_id = uuid.uuid4().hex[:12]
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if len(_rag_sessions) >= _RAG_SESSION_MAX:
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oldest = next(iter(_rag_sessions))
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del _rag_sessions[oldest]
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_rag_sessions[session_id] = {
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"chunks": chunks,
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"embeddings": embeddings,
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"analysis": {
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"risk": {"score": risk, "grade": grade, "breakdown": sev_counts},
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"metadata": {"total_clauses": len(clauses), "flagged_clauses": len(clause_results)},
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"clauses": clause_results[:30],
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"entities": entities[:30],
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"contradictions": contradictions,
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},
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}
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except Exception as e:
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print(f"[API] RAG indexing error: {e}")
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if user:
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await supabase_insert("analyses", {
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"user_id": user["id"],
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"source_url": req.source_url,
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"total_clauses": len(clauses),
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"flagged_count": len(set(cr["text"] for cr in clause_results)),
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"risk_score": risk,
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"grade": grade,
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"clauses": results_for_db,
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"entities": entities,
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"contradictions": contradictions,
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"obligations": obligations,
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"compliance": compliance,
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})
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return {
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"risk_score": risk,
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"grade": grade,
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"total_clauses": len(clauses),
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"flagged_count": len(set(cr["text"] for cr in clause_results)),
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"results": results_for_db,
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"entities": entities,
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"contradictions": contradictions,
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"obligations": obligations,
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"compliance": compliance,
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"redlines": redlines,
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"model": "ml" if cuad_model else "regex",
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"latency_ms": latency,
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"session_id": session_id,
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}
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@app.post("/api/compare")
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async def compare(req: CompareRequest, request: Request):
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client_ip = request.client.host if request.client else "unknown"
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if not _check_rate_limit(client_ip):
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raise HTTPException(status_code=429, detail="Rate limit exceeded.")
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return compare_contracts(req.text_a, req.text_b)
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@app.post("/api/redline")
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async def redline(req: RedlineRequest, request: Request):
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client_ip = request.client.host if request.client else "unknown"
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if not _check_rate_limit(client_ip):
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raise HTTPException(status_code=429, detail="Rate limit exceeded.")
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| 317 |
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if req.session_id and req.session_id in _rag_sessions:
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analysis = _rag_sessions[req.session_id]["analysis"]
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elif req.text:
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result, error = analyze_contract(req.text)
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if error:
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raise HTTPException(status_code=400, detail=error)
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analysis = result
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else:
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raise HTTPException(status_code=400, detail="Provide session_id or text")
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redlines = generate_redlines(analysis, use_llm=req.use_llm)
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return {"redlines": redlines, "count": len(redlines)}
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@app.post("/api/chat")
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async def chat(req: ChatRequest, request: Request):
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client_ip = request.client.host if request.client else "unknown"
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if not _check_rate_limit(client_ip):
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raise HTTPException(status_code=429, detail="Rate limit exceeded.")
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if req.session_id not in _rag_sessions:
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raise HTTPException(status_code=404, detail="Session not found. Analyze a contract first.")
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session = _rag_sessions[req.session_id]
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response_text = ""
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for partial in chat_respond(req.message, req.history or [],
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session["chunks"], session["embeddings"], session["analysis"]):
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response_text = partial
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return {"response": response_text, "session_id": req.session_id}
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@app.post("/api/chat/stream")
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async def chat_stream(req: ChatRequest, request: Request):
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client_ip = request.client.host if request.client else "unknown"
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if not _check_rate_limit(client_ip):
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raise HTTPException(status_code=429, detail="Rate limit exceeded.")
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if req.session_id not in _rag_sessions:
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raise HTTPException(status_code=404, detail="Session not found.")
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session = _rag_sessions[req.session_id]
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| 358 |
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async def generate():
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last = ""
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for partial in chat_respond(
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req.message, req.history or [],
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session["chunks"], session["embeddings"], session["analysis"]
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):
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delta = partial[len(last):]
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last = partial
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| 367 |
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if delta:
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yield f"data: {json.dumps({'delta': delta})}\n\n"
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yield "data: [DONE]\n\n"
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return StreamingResponse(generate(), media_type="text/event-stream")
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| 372 |
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| 373 |
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@app.post("/api/ocr")
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| 374 |
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async def ocr_endpoint(file: UploadFile = FastAPIFile(...)):
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| 375 |
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if not file.filename or not file.filename.lower().endswith(".pdf"):
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| 376 |
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raise HTTPException(status_code=400, detail="Only PDF files supported")
|
| 377 |
-
|
| 378 |
-
with tempfile.NamedTemporaryFile(suffix=".pdf", delete=False) as tmp:
|
| 379 |
-
content = await file.read()
|
| 380 |
-
tmp.write(content)
|
| 381 |
-
tmp_path = tmp.name
|
| 382 |
-
|
| 383 |
-
try:
|
| 384 |
-
text, error, method = parse_pdf_smart(tmp_path)
|
| 385 |
-
if error:
|
| 386 |
-
raise HTTPException(status_code=400, detail=error)
|
| 387 |
-
return {"text": text, "method": method, "chars": len(text) if text else 0, "filename": file.filename}
|
| 388 |
-
finally:
|
| 389 |
-
os.unlink(tmp_path)
|
| 390 |
-
|
| 391 |
-
@app.post("/api/explain", response_model=ExplainResponse)
|
| 392 |
-
async def explain(req: ExplainRequest, user: dict = Depends(require_auth)):
|
| 393 |
-
desc = DESC_MAP.get(req.category, "Unknown category.")
|
| 394 |
-
legal = "Consult local consumer protection laws."
|
| 395 |
-
recommendation = "Review this clause carefully."
|
| 396 |
-
|
| 397 |
-
if SAULLM_ENDPOINT and HF_API_TOKEN:
|
| 398 |
-
try:
|
| 399 |
-
prompt = (
|
| 400 |
-
f"Analyze this contract clause and explain why it may be risky.\n\n"
|
| 401 |
-
f"Clause: \"{req.clause}\"\nCategory: {req.category}\n\n"
|
| 402 |
-
f"Provide: 1) Plain-English explanation 2) Legal basis 3) Recommendation"
|
| 403 |
-
)
|
| 404 |
-
async with httpx.AsyncClient(timeout=30.0) as client:
|
| 405 |
-
resp = await client.post(
|
| 406 |
-
SAULLM_ENDPOINT,
|
| 407 |
-
json={"inputs": prompt, "parameters": {"max_new_tokens": 300, "temperature": 0.3}},
|
| 408 |
-
headers={"Authorization": f"Bearer {HF_API_TOKEN}"},
|
| 409 |
-
)
|
| 410 |
-
if resp.status_code == 200:
|
| 411 |
-
output = resp.json()
|
| 412 |
-
generated = output[0]["generated_text"] if isinstance(output, list) else output.get("generated_text", "")
|
| 413 |
-
if generated and len(generated) > 50:
|
| 414 |
-
parts = generated.split("\n\n")
|
| 415 |
-
desc = parts[0] if len(parts) > 0 else desc
|
| 416 |
-
legal = parts[1] if len(parts) > 1 else legal
|
| 417 |
-
recommendation = parts[2] if len(parts) > 2 else recommendation
|
| 418 |
-
except Exception:
|
| 419 |
-
pass
|
| 420 |
-
|
| 421 |
-
return ExplainResponse(clause=req.clause, category=req.category,
|
| 422 |
-
explanation=desc, legal_basis=legal, recommendation=recommendation)
|
| 423 |
-
|
| 424 |
-
@app.get("/api/history")
|
| 425 |
-
async def history(user: dict = Depends(require_auth), limit: int = 20, offset: int = 0):
|
| 426 |
-
limit = min(limit, 100)
|
| 427 |
-
data = await supabase_query("analyses", {
|
| 428 |
-
"user_id": f"eq.{user['id']}", "select": "*",
|
| 429 |
-
"order": "created_at.desc", "limit": str(limit), "offset": str(offset),
|
| 430 |
-
})
|
| 431 |
-
return {"analyses": data, "limit": limit, "offset": offset}
|
| 432 |
-
|
| 433 |
-
if __name__ == "__main__":
|
| 434 |
-
import uvicorn
|
| 435 |
-
uvicorn.run(app, host="0.0.0.0", port=8000)
|
|
|
|
| 1 |
+
file:/app/api_main.py
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