"""
ClauseGuard — FastAPI Backend v3.0
══════════════════════════════════
FIXED in v3.0:
  • Imports shared modules (no code duplication)
  • Fixed API schema to accept both {text} and {clauses} from extension
  • Added rate limiting
  • Added max text length validation
  • Fixed CORS (removed wildcard)
  • Added proper error responses
"""

import os
import re
import json
import time
from contextlib import asynccontextmanager
from typing import Optional
from collections import defaultdict
from datetime import datetime

import httpx
import numpy as np
from fastapi import FastAPI, HTTPException, Depends, Body, Request
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel, Field

from auth import get_current_user, require_auth

# ── Import shared modules ──
# When deployed, these must be in the same directory or on PYTHONPATH
import sys
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

try:
    from app import (
        split_clauses, classify_cuad, extract_entities,
        detect_contradictions, compute_risk_score,
        CUAD_LABELS, RISK_MAP, DESC_MAP, _model_status,
        cuad_model, cuad_tokenizer
    )
    from obligations import extract_obligations
    from compliance import check_compliance
    from compare import compare_contracts
    _SHARED_MODULES = True
except ImportError:
    _SHARED_MODULES = False
    print("[API] WARNING: Could not import shared modules, using inline fallbacks")

# ─── Config ───
SUPABASE_URL = os.environ.get("SUPABASE_URL", "")
SUPABASE_SERVICE_KEY = os.environ.get("SUPABASE_SERVICE_ROLE_KEY", "")
HF_API_TOKEN = os.environ.get("HF_API_TOKEN", "")
SAULLM_ENDPOINT = os.environ.get("SAULLM_ENDPOINT", "")
MAX_TEXT_LENGTH = int(os.environ.get("MAX_TEXT_LENGTH", "100000"))  # 100KB default

# ─── Rate Limiting ───
_rate_limits = {}  # ip -> (count, window_start)
RATE_LIMIT_REQUESTS = 30
RATE_LIMIT_WINDOW = 60  # seconds

def _check_rate_limit(client_ip: str) -> bool:
    now = time.time()
    if client_ip in _rate_limits:
        count, window_start = _rate_limits[client_ip]
        if now - window_start > RATE_LIMIT_WINDOW:
            _rate_limits[client_ip] = (1, now)
            return True
        if count >= RATE_LIMIT_REQUESTS:
            return False
        _rate_limits[client_ip] = (count + 1, window_start)
        return True
    _rate_limits[client_ip] = (1, now)
    return True

# ─── Supabase helper ───
async def supabase_insert(table: str, data: dict):
    if not SUPABASE_URL or not SUPABASE_SERVICE_KEY:
        return
    try:
        async with httpx.AsyncClient() as client:
            await client.post(
                f"{SUPABASE_URL}/rest/v1/{table}",
                json=data,
                headers={
                    "apikey": SUPABASE_SERVICE_KEY,
                    "Authorization": f"Bearer {SUPABASE_SERVICE_KEY}",
                    "Content-Type": "application/json",
                    "Prefer": "return=minimal",
                },
                timeout=10.0,
            )
    except Exception:
        pass

async def supabase_query(table: str, params: dict, headers_extra: dict = {}):
    if not SUPABASE_URL or not SUPABASE_SERVICE_KEY:
        return []
    try:
        async with httpx.AsyncClient() as client:
            resp = await client.get(
                f"{SUPABASE_URL}/rest/v1/{table}",
                params=params,
                headers={
                    "apikey": SUPABASE_SERVICE_KEY,
                    "Authorization": f"Bearer {SUPABASE_SERVICE_KEY}",
                    **headers_extra,
                },
                timeout=10.0,
            )
            return resp.json() if resp.status_code == 200 else []
    except Exception:
        return []

# ─── Request/Response Models ───
class AnalyzeRequest(BaseModel):
    text: Optional[str] = Field(None, min_length=50)
    clauses: Optional[list] = None  # FIXED: accept clauses array from extension
    source_url: Optional[str] = None

class AnalyzeResponse(BaseModel):
    risk_score: int
    grade: str
    total_clauses: int
    flagged_count: int
    results: list[dict]
    entities: list[dict]
    contradictions: list[dict]
    obligations: list[dict]
    compliance: dict
    model: str
    latency_ms: int

class CompareRequest(BaseModel):
    text_a: str = Field(..., min_length=50)
    text_b: str = Field(..., min_length=50)

class ExplainRequest(BaseModel):
    clause: str = Field(..., min_length=10, max_length=2000)
    category: str

class ExplainResponse(BaseModel):
    clause: str
    category: str
    explanation: str
    legal_basis: str
    recommendation: str

# ─── App ───
@asynccontextmanager
async def lifespan(app: FastAPI):
    # Models are loaded when app.py is imported
    yield

app = FastAPI(title="ClauseGuard API", version="3.0.0", lifespan=lifespan)

# FIXED: No wildcard CORS
ALLOWED_ORIGINS = [
    "https://clauseguardweb.netlify.app",
    "http://localhost:3000",
    "http://localhost:3001",
]
# Allow chrome extensions
app.add_middleware(
    CORSMiddleware,
    allow_origins=ALLOWED_ORIGINS,
    allow_origin_regex=r"^chrome-extension://.*$",
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

@app.get("/health")
async def health():
    model_status = "ml" if _SHARED_MODULES and cuad_model else "regex"
    return {
        "status": "ok",
        "model": model_status,
        "version": "3.0.0",
        "shared_modules": _SHARED_MODULES,
    }

@app.post("/api/analyze", response_model=AnalyzeResponse)
async def analyze(req: AnalyzeRequest, request: Request, user: Optional[dict] = Depends(get_current_user)):
    # Rate limiting
    client_ip = request.client.host if request.client else "unknown"
    if not _check_rate_limit(client_ip):
        raise HTTPException(status_code=429, detail="Rate limit exceeded. Try again in 60 seconds.")

    # FIXED: Accept either text or clauses from extension
    text = req.text
    if not text and req.clauses:
        text = "\n\n".join(req.clauses) if isinstance(req.clauses, list) else str(req.clauses)

    if not text or len(text.strip()) < 50:
        raise HTTPException(status_code=400, detail="Text too short (minimum 50 characters)")

    # Max length check
    if len(text) > MAX_TEXT_LENGTH:
        raise HTTPException(status_code=400, detail=f"Text too long (maximum {MAX_TEXT_LENGTH} characters)")

    start = time.time()
    clauses = split_clauses(text)
    if not clauses:
        raise HTTPException(status_code=400, detail="No clauses detected in document")

    clause_results = []
    for clause in clauses:
        predictions = classify_cuad(clause)
        if predictions:
            for pred in predictions:
                clause_results.append({
                    "text": clause,
                    "label": pred["label"],
                    "confidence": pred["confidence"],
                    "risk": pred["risk"],
                    "description": pred["description"],
                    "source": pred.get("source", "unknown"),
                })

    entities = extract_entities(text)
    contradictions = detect_contradictions(clause_results, text)
    risk, grade, sev_counts = compute_risk_score(clause_results, len(clauses))
    obligations = extract_obligations(text)
    compliance = check_compliance(text)
    latency = int((time.time() - start) * 1000)

    results_for_db = []
    for cr in clause_results:
        results_for_db.append({
            "text": cr["text"],
            "categories": [{
                "name": cr["label"],
                "severity": cr["risk"],
                "confidence": cr["confidence"],
                "description": cr["description"],
            }],
        })

    if user:
        await supabase_insert("analyses", {
            "user_id": user["id"],
            "source_url": req.source_url,
            "total_clauses": len(clauses),
            "flagged_count": len(set(cr["text"] for cr in clause_results)),
            "risk_score": risk,
            "grade": grade,
            "clauses": results_for_db,
            "entities": entities,
            "contradictions": contradictions,
            "obligations": obligations,
            "compliance": compliance,
        })

    return AnalyzeResponse(
        risk_score=risk,
        grade=grade,
        total_clauses=len(clauses),
        flagged_count=len(set(cr["text"] for cr in clause_results)),
        results=results_for_db,
        entities=entities,
        contradictions=contradictions,
        obligations=obligations,
        compliance=compliance,
        model="ml" if cuad_model else "regex",
        latency_ms=latency,
    )

@app.post("/api/compare")
async def compare(req: CompareRequest, request: Request):
    client_ip = request.client.host if request.client else "unknown"
    if not _check_rate_limit(client_ip):
        raise HTTPException(status_code=429, detail="Rate limit exceeded.")
    result = compare_contracts(req.text_a, req.text_b)
    return result

@app.post("/api/explain", response_model=ExplainResponse)
async def explain(req: ExplainRequest, user: dict = Depends(require_auth)):
    desc = DESC_MAP.get(req.category, "Unknown category.")
    legal = "Consult local consumer protection laws."
    recommendation = "Review this clause carefully. Consider negotiating or seeking legal advice before agreeing."

    if SAULLM_ENDPOINT and HF_API_TOKEN:
        try:
            prompt = (
                f"You are a consumer protection legal analyst. Analyze this contract clause "
                f"and explain why it may be unfair or risky.\n\n"
                f"Clause: \"{req.clause}\"\n"
                f"Category: {req.category}\n\n"
                f"Provide:\n"
                f"1. A plain-English explanation of what this clause means\n"
                f"2. The specific legal basis or consumer protection concern\n"
                f"3. A practical recommendation\n\n"
                f"Be concise. 3-4 sentences per section."
            )
            async with httpx.AsyncClient(timeout=30.0) as client:
                resp = await client.post(
                    SAULLM_ENDPOINT,
                    json={"inputs": prompt, "parameters": {"max_new_tokens": 300, "temperature": 0.3}},
                    headers={"Authorization": f"Bearer {HF_API_TOKEN}"},
                )
                if resp.status_code == 200:
                    output = resp.json()
                    generated = output[0]["generated_text"] if isinstance(output, list) else output.get("generated_text", "")
                    if generated and len(generated) > 50:
                        parts = generated.split("\n\n")
                        desc = parts[0] if len(parts) > 0 else desc
                        legal = parts[1] if len(parts) > 1 else legal
                        recommendation = parts[2] if len(parts) > 2 else recommendation
        except Exception:
            pass

    return ExplainResponse(
        clause=req.clause,
        category=req.category,
        explanation=desc,
        legal_basis=legal,
        recommendation=recommendation,
    )

@app.get("/api/history")
async def history(user: dict = Depends(require_auth), limit: int = 20, offset: int = 0):
    limit = min(limit, 100)
    data = await supabase_query(
        "analyses",
        {
            "user_id": f"eq.{user['id']}",
            "select": "*",
            "order": "created_at.desc",
            "limit": str(limit),
            "offset": str(offset),
        },
    )
    return {"analyses": data, "limit": limit, "offset": offset}

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=8000)