Public Access
72 lines
4.1 KiB
Python
72 lines
4.1 KiB
Python
import uuid
|
|
import time
|
|
import re
|
|
from fasthtml.common import *
|
|
from modules.database import load_history, save_history
|
|
from modules.scraper import rechercher_sur_google, extraire_contenu_urls
|
|
from modules.router import nettoyer_decision_router
|
|
from modules.ai_engine import local_client, interroger_gemini_cascade, appeler_groq_api
|
|
from modules.ui_components import render_user_msg, render_ai_msg, render_sidebar
|
|
|
|
async def handle_chat_request(request, session):
|
|
try:
|
|
form = await request.form()
|
|
prompt = form.get("prompt", "")
|
|
chat_id = form.get("chat_id", str(uuid.uuid4()))
|
|
files = form.getlist("files")
|
|
session['current_chat_id'] = chat_id
|
|
|
|
history = load_history()
|
|
|
|
sec_prompt = f"""Analyse et route cette demande. Si recherche web nécessaire ("va sur", "site", "historique", "version", "cherche", etc.) -> choisis "gemini". Si code/technique -> "groq". Sinon -> "local".
|
|
Renvoie STRICTEMENT un JSON : {{"intention": "...", "fournisseur": "gemini|groq|local"}}
|
|
Requête : {prompt}"""
|
|
|
|
router_res = local_client.chat.completions.create(model="qwen2.5:3b", messages=[{"role": "system", "content": "JSON uniquement."}, {"role": "user", "content": sec_prompt}], temperature=0.1)
|
|
decision = nettoyer_decision_router(router_res.choices[0].message.content)
|
|
intention, fournisseur = decision.get('intention', 'Analyse'), decision.get('fournisseur', 'gemini').lower()
|
|
|
|
urls = re.findall(r'https?://[^\s]+', prompt)
|
|
mots_cles = ["cherche", "recherche", "sur internet", "sur le web", "sur le net", "va sur", "trouve", "site", "donne", "historique", "version"]
|
|
if any(m in prompt.lower() for m in mots_cles):
|
|
urls.extend(rechercher_sur_google(prompt))
|
|
|
|
web_text = extraire_contenu_urls(list(set(urls))) if urls else ""
|
|
|
|
file_summary = []
|
|
file_names = []
|
|
for f in files[:10]:
|
|
if f and f.filename:
|
|
file_names.append(f.filename)
|
|
content = await f.read()
|
|
file_summary.append(f"\n--- Fichier: {f.filename} ---\n{content.decode('utf-8', errors='ignore')}")
|
|
|
|
full_prompt = prompt + ("\n" + "\n".join(file_summary) if file_summary else "")
|
|
if web_text:
|
|
full_prompt += f"\n\n[Contexte web extrait :\n{web_text}\nUtilise ces informations pour répondre précisément.]"
|
|
|
|
if fournisseur == "gemini":
|
|
try:
|
|
reponse, modele = interroger_gemini_cascade(full_prompt)
|
|
couleur, fournisseur_nom = "#3b82f6", "GOOGLE GEMINI"
|
|
except Exception:
|
|
reponse, couleur, fournisseur_nom, modele = appeler_groq_api(full_prompt)
|
|
fournisseur_nom, intention = "GROQ (Secours)", intention + " (Secours)"
|
|
elif fournisseur == "groq":
|
|
reponse, couleur, fournisseur_nom, modele = appeler_groq_api(full_prompt)
|
|
else:
|
|
res_local = local_client.chat.completions.create(model="qwen2.5:3b", messages=[{"role": "system", "content": "Réponds en français."}, {"role": "user", "content": full_prompt}])
|
|
reponse, couleur, fournisseur_nom, modele = res_local.choices[0].message.content, "#10b981", "SERVEUR LOCAL", "qwen2.5:3b"
|
|
|
|
if chat_id not in history:
|
|
history[chat_id] = {"title": (prompt[:30] if prompt else "Discussion") + "...", "pinned": False, "timestamp": time.time(), "messages": []}
|
|
|
|
display_msg = prompt + (f"\n📎 [Fichiers: {', '.join(file_names)}]" if file_names else "")
|
|
history[chat_id]['messages'].append({"role": "user", "content": display_msg})
|
|
history[chat_id]['messages'].append({"role": "ai", "content": reponse, "intention": intention, "fournisseur": fournisseur_nom, "modele": modele, "couleur": couleur})
|
|
save_history(history)
|
|
|
|
return render_user_msg(display_msg), render_ai_msg(reponse, intention, fournisseur_nom, modele, couleur), Script("renderMarkdown();"), render_sidebar()
|
|
|
|
except Exception as e:
|
|
return Div(f"Erreur : {e}", style="color:red; background:#300; padding:15px; border-radius:10px;") |