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import sys
import json
import asyncio
import uuid
from typing import Optional
from fastapi import FastAPI, HTTPException, Request
from fastapi.responses import HTMLResponse, FileResponse, StreamingResponse
from fastapi.staticfiles import StaticFiles
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from dotenv import load_dotenv
load_dotenv()
ROOT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
if ROOT_DIR not in sys.path:
sys.path.insert(0, ROOT_DIR)
from api.rag_engine import (
search_and_rerank, build_prompt, SYSTEM_PROMPT, stream_provider,
LLM_PROVIDER, GROQ_MODEL, OPENROUTER_MODEL
)
from api.utils import detect_jurisdiction, auto_context_depth, tier_sources
from api.memory import (
save_message, get_history, get_history_full,
list_sessions, delete_session, update_session_name, get_session_name
)
from api.utils import parse_citations
app = FastAPI(title="LexRAG", version="3.1")
app.add_middleware(CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"])
UI_DIR = os.path.join(ROOT_DIR, "ui")
MARKETING_DIR = os.path.join(ROOT_DIR, "marketing")
SETTINGS_FILE = os.path.join(ROOT_DIR, "settings.json")
app.mount("/ui", StaticFiles(directory=UI_DIR), name="ui")
app.mount("/marketing", StaticFiles(directory=MARKETING_DIR), name="marketing")
# βββ Model Catalog βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
MODEL_CATALOG = {
"groq": [
{"id": "llama-3.3-70b-versatile", "name": "Llama 3.3 70B"},
{"id": "llama-3.1-8b-instant", "name": "Llama 3.1 8B"},
{"id": "gemma2-9b-it", "name": "Gemma 2 9B"},
],
"openrouter": [
{"id": "meta-llama/llama-3.3-70b-instruct:free", "name": "Llama 3.3 70B (Free)"},
{"id": "deepseek/deepseek-r1:free", "name": "DeepSeek R1 (Free)"},
{"id": "google/gemma-2-9b-it:free", "name": "Gemma 2 9B (Free)"},
{"id": "qwen/qwen-2.5-coder-32b-instruct:free", "name": "Qwen 2.5 Coder 32B (Free)"},
],
"ollama": [
{"id": "qwen3:14b", "name": "Qwen3 14B (Local)"},
{"id": "llama3:latest", "name": "Llama 3 (Local)"},
]
}
# Default active models if settings don't exist
DEFAULT_ACTIVE_MODELS = {
"groq": ["llama-3.3-70b-versatile", "llama-3.1-8b-instant", "gemma2-9b-it"],
"openrouter": ["meta-llama/llama-3.3-70b-instruct:free", "deepseek/deepseek-r1:free", "google/gemma-2-9b-it:free"],
"ollama": ["qwen3:14b", "llama3:latest"]
}
DEFAULT_PROVIDER_MODELS = {
"groq": "llama-3.3-70b-versatile",
"openrouter": "meta-llama/llama-3.3-70b-instruct:free",
"ollama": "qwen3:14b"
}
DEFAULT_SETTINGS = {
"provider": LLM_PROVIDER,
"model": DEFAULT_PROVIDER_MODELS.get(LLM_PROVIDER, "llama-3.3-70b-versatile"),
"jurisdiction_override": None,
"active_models": DEFAULT_ACTIVE_MODELS,
"custom_models": {} # {"groq": [{"id": "...", "name": "..."}]}
}
def load_settings() -> dict:
if os.path.exists(SETTINGS_FILE):
saved = {}
with open(SETTINGS_FILE) as f:
try: saved = json.load(f)
except Exception: pass
merged = {**DEFAULT_SETTINGS, **saved}
# Ensure active_models has all providers
for p in DEFAULT_ACTIVE_MODELS:
if p not in merged.get("active_models", {}):
merged.setdefault("active_models", {})[p] = DEFAULT_ACTIVE_MODELS[p]
return merged
return DEFAULT_SETTINGS.copy()
def save_settings_to_disk(data: dict):
current = load_settings()
current.update(data)
with open(SETTINGS_FILE, "w") as f:
json.dump(current, f, indent=2)
# βββ Pages βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@app.get("/", response_class=HTMLResponse)
def serve_app():
with open(os.path.join(UI_DIR, "index.html")) as f:
return HTMLResponse(content=f.read())
# βββ API: Models βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@app.get("/api/models")
def get_models():
"""Returns full catalog plus any custom models from settings."""
settings = load_settings()
catalog = {p: list(models) for p, models in MODEL_CATALOG.items()}
# Merge custom models
for provider, custom in settings.get("custom_models", {}).items():
if provider in catalog:
existing_ids = {m["id"] for m in catalog[provider]}
for cm in custom:
if cm["id"] not in existing_ids:
catalog[provider].append(cm)
else:
catalog[provider] = custom
return catalog
# βββ API: Settings βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@app.get("/api/settings")
def get_settings_endpoint():
return load_settings()
@app.post("/api/settings")
async def update_settings_endpoint(request: Request):
data = await request.json()
current = load_settings()
# Deep merge active_models and custom_models
for deep_key in ("active_models", "custom_models"):
if deep_key in data and isinstance(data[deep_key], dict):
current.setdefault(deep_key, {}).update(data[deep_key])
del data[deep_key]
current.update(data)
with open(SETTINGS_FILE, "w") as f:
json.dump(current, f, indent=2)
return current
# βββ API: Sessions ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@app.get("/api/sessions")
def api_list_sessions():
return list_sessions()
@app.get("/api/sessions/{session_id}")
def api_get_session(session_id: str):
return {
"session_id": session_id,
"name": get_session_name(session_id),
"messages": get_history_full(session_id)
}
@app.delete("/api/sessions/{session_id}")
def api_delete_session(session_id: str):
delete_session(session_id)
return {"success": True}
# βββ API: Ingestion Endpoints (Server-Centric De-confliction) ββββββββββββββββββ
class IngestTextRequest(BaseModel):
text: str
metadata: dict
class IngestPDFRequest(BaseModel):
filepath: str
metadata: dict
thorough: Optional[bool] = True
@app.post("/api/ingest")
async def api_ingest_text(req: IngestTextRequest):
from scripts.ingest import _local_ingest_text
try:
await asyncio.get_event_loop().run_in_executor(
None, lambda: _local_ingest_text(req.text, req.metadata)
)
return {"success": True}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@app.post("/api/ingest/pdf")
async def api_ingest_pdf(req: IngestPDFRequest):
from scripts.ingest import _local_ingest_pdf
if not os.path.exists(req.filepath):
raise HTTPException(status_code=404, detail="PDF file not found at specified path")
try:
await asyncio.get_event_loop().run_in_executor(
None, lambda: _local_ingest_pdf(req.filepath, req.metadata, req.thorough)
)
return {"success": True}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
# βββ API: Chat (SSE Streaming) ββββββββββββββββββββββββββββββββββββββββββββββββ
class ChatRequest(BaseModel):
question: str
session_id: str
provider: Optional[str] = None
model: Optional[str] = None
jurisdiction_override: Optional[str] = None
@app.post("/api/chat")
async def chat_stream(req: ChatRequest):
settings = load_settings()
provider = req.provider or settings.get("provider") or LLM_PROVIDER
model = req.model or settings.get("model")
async def generate():
start_all = asyncio.get_event_loop().time()
full_answer = ""
sources_out = []
jurisdiction = "Both"
confidence = "GROUNDED"
def format_sse(event: str, data: any) -> str:
return f"event: {event}\ndata: {json.dumps(data)}\n\n"
# ββ Step 0: Save user message IMMEDIATELY βββββββββββββββββββββββββββ
try:
session_name = req.question[:60].strip()
save_message(req.session_id, "user", req.question)
update_session_name(req.session_id, session_name)
except Exception as e:
print(f"Warning: Could not save user message: {e}")
try:
# ββ Step 1: Jurisdiction & Pings ββββββββββββββββββββββββββββββββ
# Send initial ping to confirm stream start
yield ": ping\n\n"
override = req.jurisdiction_override or settings.get("jurisdiction_override")
if override and override != "Both":
jurisdiction = override
else:
jurisdiction = detect_jurisdiction(req.question)
# ββ Step 2: Retrieval (with 15s timeout) βββββββββββββββββββββββ
top_k = auto_context_depth(req.question)
try:
t0 = asyncio.get_event_loop().time()
docs = await asyncio.wait_for(
asyncio.get_event_loop().run_in_executor(
None, lambda: search_and_rerank(req.question, jurisdiction, top_k)
),
timeout=15.0
)
print(f"Retrieval + Rerank took: {asyncio.get_event_loop().time() - t0:.3f}s")
except asyncio.TimeoutError:
docs = []
print("Warning: Retrieval timed out, using general knowledge.")
confidence = tier_sources(docs)
# Deduplicate sources by (title, source) β same document split into many
# chunks will produce identical titles; keep the highest-scoring one.
seen_src: dict = {}
for d in docs:
key = (d.get("doc_title", d.get("source", "")), d.get("source", ""))
score = round(d.get("rerank_score", d.get("score", 0)), 3)
if key not in seen_src or score > seen_src[key]["score"]:
seen_src[key] = {
"title": d.get("doc_title", d.get("source", "Unknown")),
"source": d.get("source", ""),
"jurisdiction": d.get("jurisdiction", ""),
"type": d.get("source_type", ""),
"url": d.get("url", ""),
"score": score
}
sources_out = list(seen_src.values())
# ββ Step 3: Emit sources immediately βββββββββββββββββββββββββββ
yield format_sse("sources", {
"sources": sources_out,
"confidence": confidence,
"jurisdiction": jurisdiction
})
# ββ Step 4: Build prompt ββββββββββββββββββββββββββββββββββββββββ
history = get_history(req.session_id, limit=5)
prompt = build_prompt(req.question, docs, history, confidence)
messages = [
{"role": "system", "content": SYSTEM_PROMPT},
{"role": "user", "content": prompt}
]
# ββ Step 5: Stream with total 90s timeout ββββββββββββββββββββββ
async def stream_with_timeout():
t_gen_start = asyncio.get_event_loop().time()
first = True
async for token in stream_provider(messages, provider, model):
if first:
print(f"Time to first token: {asyncio.get_event_loop().time() - t_gen_start:.3f}s")
first = False
yield token
# Periodic ping wrapper to prevent proxy timeouts
async def stream_with_pings():
queue = asyncio.Queue()
async def producer():
try:
async for token in stream_with_timeout():
await queue.put(("token", token))
except Exception as e:
await queue.put(("error", e))
finally:
await queue.put(("done", None))
producer_task = asyncio.create_task(producer())
got_first_token = False
try:
async with asyncio.timeout(90):
while True:
try:
msg_type, val = await asyncio.wait_for(queue.get(), timeout=5.0)
if msg_type == "token":
got_first_token = True
yield val
elif msg_type == "error":
raise val
elif msg_type == "done":
break
except asyncio.TimeoutError:
# Yield SSE comment ping directly to bypass format_sse
yield ": ping\n\n"
except asyncio.TimeoutError:
if not got_first_token:
yield "\n\n*Response timed out. Try a smaller model or check your network.*"
finally:
producer_task.cancel()
async for token in stream_with_pings():
if token.startswith(": ping"):
yield token
else:
full_answer += token
yield format_sse("token", {"content": token})
# ββ Step 6: Citation links + save answer βββββββββββββββββββββββ
full_answer = parse_citations(full_answer)
try:
save_message(req.session_id, "assistant", full_answer,
sources=sources_out, provider=provider)
except Exception as e:
print(f"Warning: Could not save assistant message: {e}")
yield format_sse("done", {
"session_name": session_name,
"confidence": confidence,
"jurisdiction": jurisdiction
})
except Exception as e:
error_msg = str(e)
print(f"Chat error: {error_msg}")
# Flush error to UI
yield format_sse("error", {"content": error_msg})
yield format_sse("done", {"error": True})
if full_answer:
try:
save_message(req.session_id, "assistant", full_answer,
sources=sources_out, provider=provider)
except Exception:
pass
return StreamingResponse(generate(), media_type="text/event-stream")
@app.get("/health")
def health():
return {"status": "ok", "version": "3.1"} |