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from fastapi import FastAPI, BackgroundTasks, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from api.utils import get_namespace_id, logger
from api.crawler import crawl_website
from api.schemas import ChatRequest, IngestRequest
from api.config import vs, flash, system_instruction
from google.genai import types
app = FastAPI(title="RAG Chatbot API", version="1.0")
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=False,
allow_methods=["*"],
allow_headers=["*"],
)
def background_ingest_task(url: str, namespace_id: str):
logger.info(f"Background crawl STARTED for: {url}")
start = time.perf_counter()
try:
crawler_gen = crawl_website(url, limit=50)
buffer = []
for source_url, chunks in crawler_gen:
for chunk in chunks:
buffer.append({"text": chunk, "source": source_url})
if len(buffer) >= 50:
vs.batch_upsert(buffer, namespace_id)
buffer = []
if buffer:
vs.batch_upsert(buffer, namespace_id)
logger.info(f"Background crawl COMPLETED for {namespace_id}")
except Exception as e:
logger.error(f"Background task failed for {url}: {e}")
end = time.perf_counter()
logger.info(f"Time elapsed: {end - start}")
@app.get("/")
def check_health():
return {"status": "online", "system": "RAG-Chatbot v1.0"}
@app.post("/check")
def check_endpoint(req: IngestRequest):
url_str = str(req.url)
namespace_id = get_namespace_id(url_str)
try:
stats = vs.index.describe_index_stats()
exists = namespace_id in stats.namespaces
count = 0
if exists:
count = stats.namespaces[namespace_id].vector_count
return {
"exists": exists and count > 0,
"namespace": namespace_id,
"vector_count": count,
}
except Exception as e:
logger.error(f"Check failed: {e}")
return {"exists": False, "error": str(e)}
@app.post("/ingest")
def ingest_endpoint(req: IngestRequest, background_tasks: BackgroundTasks):
url_str = str(req.url)
namespace_id = get_namespace_id(url_str)
background_tasks.add_task(background_ingest_task, url_str, namespace_id)
logger.info(f"Background ingest dispatched: {url_str} -> {namespace_id}")
return {
"status": "processing",
"message": "Ingestion started in background.",
"namespace": namespace_id,
}
# Add this near your other endpoints
@app.post("/reset")
def reset_endpoint(req: IngestRequest):
url_str = str(req.url)
namespace_id = get_namespace_id(url_str)
success = vs.delete_namespace(namespace_id)
if success:
return {"status": "success", "message": f"Memory wiped for {url_str}"}
else:
raise HTTPException(status_code=500, detail="Failed to delete namespace")
@app.post("/chat")
def chat_endpoint(req: ChatRequest):
url_str = str(req.url)
namespace_id = get_namespace_id(url_str)
# 1. Retrieval
results = vs.query_namespace(req.message, namespace_id)
contexts = []
sources = set()
logger.info(f"\n--- DEBUG: RETRIEVED FOR '{req.message}' ---")
if results and results.matches:
for i, match in enumerate(results.matches):
logger.info(
f"[{i}] Score: {match.score:.4f} | Text: {match.metadata.get('text', '')[:100]}..."
)
if match.metadata:
text = match.metadata.get("text", "")
src = match.metadata.get("source", None)
if text:
contexts.append(text)
if src:
sources.add(src)
if not contexts:
return {
"answer": "I haven't learned this website yet. Please click 'Train' first!",
"sources": [],
}
# 2. Prompting
context = "\n\n".join(contexts[:5])
try:
response = flash.models.generate_content(
model="gemini-2.0-flash",
config=types.GenerateContentConfig(
system_instruction=system_instruction(url_str, context)
),
contents=req.message,
)
return {"answer": response.text, "sources": list(sources)}
except Exception as e:
logger.error(f"LLM Error: {e}")
raise HTTPException(status_code=500, detail="AI Service Error")
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