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xavier committed 2026-10-06 22:49:59 +02:00
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.gitea/workflows/deploy.yml
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name: Build and Push Docker Image
on:
push:
branches: [ main ]
jobs:
build-and-push:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v3
- name: Log in to Gitea Container Registry
uses: docker/login-action@v2
with:
registry: gitea.aethas38.duckdns.org
username: ${{ secrets.REGISTRY_USERNAME }}
password: ${{ secrets.REGISTRY_TOKEN }}
- name: Build and push Docker image
uses: docker/build-push-action@v4
with:
context: .
push: true
tags: gitea.aethas38.duckdns.org/xavier/multi-ia-codage:latest
.gitignore
-54
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__pycache__/
venv/
.env
.sesskey
aethas_history.json
Echange GEMINY.txt
.vscode/
aethas_logs.txt
Important/
ARCHIVAGE ECHANGE GEMINY.txt
test financier/
SAVE/
Fichiers de configuration sensibles
.env
*.env
.env.local
Environnements virtuels Python
venv/
.venv/
env/
ENV/
Fichiers compilés Python
pycache/
*.py[cod]
*$py.class
Fichiers de logs
*.log
Dossiers d'IDE
.vscode/
.idea/
*.swp
*.swo
Historique local de l'orchestrateur (si vous sauvegardez les conversations en JSON)
historique_*.json
sessions/
Projet IA.pdf
Multi IA Personnel & familliale.pdf
WF ATTACHEMENT STIC.pdf
gitea cmd.md
consignes.txt
history.json
# Environnement et clés secrètes
.env
# Dossiers dynamiques d'exécution
/logs/
/sessions/
# Fichiers de données locales et clés de session
history.json
*.sesskey
__pycache__/
*.pyc
app_config.json
Dockerfile
-20
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FROM python:3.13-slim
WORKDIR /app
# Installation des dépendances système (LibreOffice, etc.)
RUN apt-get update && apt-get install -y \
libreoffice \
curl \
&& rm -rf /var/lib/apt/lists/*
# Copie et installation des dépendances Python
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Copie de tout le code source de la racine
COPY . .
EXPOSE 5001
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "5001"]
backend/ai_engine.py
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# ai_engine.py
import os
import requests
import asyncio
from datetime import datetime
os.makedirs("logs", exist_ok=True)
APP_LAUNCH_TIME = datetime.now().strftime("%Y%m%d_%H%M%S")
LOG_FILE = f"logs/AETHAS38_Run_{APP_LAUNCH_TIME}.log"
def log_event(session_id, category, action):
sid_short = session_id[:8] if session_id and session_id != "system" else "SYSTEM"
timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
with open(LOG_FILE, "a", encoding="utf-8") as f:
f.write(f"[{timestamp}] [Session:{sid_short}] [{category}] {action}\n")[cite: 11]
def ask_llm(session_id, full_id, msg):
parts = full_id.split("|", 1)
provider, actual_model = parts[0], parts[1] if len(parts) > 1 else full_id
log_event(session_id, "API_REQ", f"Provider: {provider} | Modèle: {actual_model}")[cite: 11]
try:
if provider == "openrouter":
res = requests.post("https://openrouter.ai/api/v1/chat/completions", headers={"Authorization": f"Bearer {os.getenv('OPENROUTER_API_KEY')}"}, json={"model": actual_model, "messages": [{"role": "user", "content": msg}]})
if res.status_code == 200: return res.json()["choices"][0]["message"]["content"]
return f"⚠️ Erreur API ({provider}) : {res.text}"[cite: 11]
elif provider == "groq":
res = requests.post("https://api.groq.com/openai/v1/chat/completions", headers={"Authorization": f"Bearer {os.getenv('GROQ_API_KEY')}"}, json={"model": actual_model, "messages": [{"role": "user", "content": msg}]})
if res.status_code == 200: return res.json()["choices"][0]["message"]["content"]
return f"⚠️ Erreur API ({provider}) : {res.text}"[cite: 11]
elif provider == "gemini":
res = requests.post(f"https://generativelanguage.googleapis.com/v1beta/models/{actual_model}:generateContent?key={os.getenv('GEMINI_API_KEY')}", json={"contents": [{"parts": [{"text": msg}]}]})
if res.status_code == 200: return res.json()["candidates"][0]["content"]["parts"][0]["text"]
return f"⚠️ Erreur API ({provider}) : {res.text}"[cite: 11]
return "⚠️ Fournisseur API non implémenté ou ID invalide[cite: 11]."
except Exception as e: return f"⚠ Erreur de connexion : {str(e)}"[cite: 11]
async def async_ask_llm(session_id, full_id, msg):
return await asyncio.to_thread(ask_llm, session_id, full_id, msg)[cite: 11]
backend/auth.py
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# auth.py
import re
import pyotp
import hashlib
import hmac
import os
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
def validate_password_strength(password):
if len(password) < 12: return "Le mot de passe doit contenir au moins 12 caractères."
if not re.search(r"[A-Z]", password): return "Le mot de passe doit contenir au moins une majuscule."
if not re.search(r"[a-z]", password): return "Le mot de passe doit contenir au moins une minuscule."
if not re.search(r"[0-9]", password): return "Le mot de passe doit contenir au moins un chiffre."
if not re.search(r"[!@#$%^&*(),.?\":{}|<>]", password): return "Le mot de passe doit contenir au moins un caractère spécial."
return None
def hash_password(password):
return hashlib.sha256(password.encode()).hexdigest()
def verify_password(stored_hash, provided_password):
return hmac.compare_digest(stored_hash, hash_password(provided_password))
def generate_totp_secret():
return pyotp.random_base32()
def verify_totp(secret, code):
totp = pyotp.TOTP(secret)
return totp.verify(code)
def send_invite_email(to_email, setup_link):
smtp_server = os.getenv("SMTP_SERVER")
smtp_port = int(os.getenv("SMTP_PORT", 587))
smtp_user = os.getenv("SMTP_USER")
smtp_pass = os.getenv("SMTP_PASS")
if not all([smtp_server, smtp_user, smtp_pass]):
return False
msg = MIMEMultipart()
msg['From'] = f"AETHAS38 <{smtp_user}>"
msg['To'] = to_email
msg['Subject'] = "Invitation au Hub AETHAS38"
body = f"Vous avez été invité(e) à rejoindre le hub IA AETHAS38.\nLien de configuration 2FA : {setup_link}"
msg.attach(MIMEText(body, 'plain', 'utf-8'))
try:
server = smtplib.SMTP(smtp_server, smtp_port)
server.starttls()
server.login(smtp_user, smtp_pass)
server.send_message(msg)
server.quit()
return True
except Exception:
return False
backend/catalog_manager.py
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# catalog_manager.py
import os
import json
import re
import requests
CATALOG_FILE = "sessions/catalog.json"
MODELS_DATA = []
def load_catalog():
global MODELS_DATA
if os.path.exists(CATALOG_FILE):
with open(CATALOG_FILE, "r", encoding="utf-8") as f:
try: MODELS_DATA = json.load(f)
except: MODELS_DATA = []
if not MODELS_DATA:
MODELS_DATA = [
{"id": "groq|llama-3.1-8b-instant", "name": "Groq - Llama 3.1 (8B)", "is_free": True, "provider": "Général / Texte", "description": "Modèle par défaut."},
{"id": "gemini|gemini-1.5-flash", "name": "Google - Gemini 1.5 Flash", "is_free": True, "provider": "Vision", "description": "Modèle par défaut."}
]
load_catalog()
def save_catalog(data):
global MODELS_DATA
MODELS_DATA = data
with open(CATALOG_FILE, "w", encoding="utf-8") as f:
json.dump(data, f, indent=4, ensure_ascii=False)[cite: 11]
def get_budget():
mgmt_key = os.getenv("OPENROUTER_MANAGEMENT_KEY")
if not mgmt_key: return "Clé manquante[cite: 11]"
try:
data = requests.get("https://openrouter.ai/api/v1/credits", headers={"Authorization": f"Bearer {mgmt_key}"}, timeout=5).json().get("data", {})
return f"{data.get('total_credits', 0) - data.get('total_usage', 0):.4f} $"[cite: 11]
except: return "Erreur réseau[cite: 11]"
def parse_txt_catalog(content: str):
lines = content.split('\n')
models = []
current = {}
ext_date, ext_time = "Inconnue", ""
for line in lines:
line_trim = line.strip()
if "Généré le" in line_trim:
match = re.search(r"Généré le (\d{2}/\d{2}/\d{4}) à (\d{2}:\d{2}:\d{2})", line_trim)
if match:
ext_date, ext_time = match.group(1), match.group(2)
if line_trim.startswith("Nom : "): current['name'] = line_trim.replace("Nom : ", "").strip()
elif line_trim.startswith("ID : "): current['id'] = line_trim.replace("ID : ", "").strip()
elif line_trim.startswith("Tarif : "): current['is_free'] = ("Gratuit" in line_trim)
elif line_trim.startswith("Spécialité : "): current['provider'] = line_trim.replace("Spécialité : ", "").strip()
elif line_trim.startswith("Description : "): current['description'] = line_trim.replace("Description : ", "").strip()
elif line_trim.startswith("---"):
if 'id' in current and 'name' in current: models.append(current)
current = {}
return models, ext_date, ext_time[cite: 11]
backend/config.py
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import json
import os
# Détecte le dossier parent (racine du projet) dynamiquement
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
SESSIONS_DIR = os.path.join(BASE_DIR, "sessions")
CONFIG_FILE = os.path.join(SESSIONS_DIR, "app_config.json")
def load_config():
os.makedirs(SESSIONS_DIR, exist_ok=True)
if not os.path.exists(CONFIG_FILE):
default_config = {
"api_keys": {"openrouter": "", "groq": "", "gemini": ""},
"smtp": {"host": "", "port": 587, "user": "", "password": ""},
"custom_providers": []
}
save_config(default_config)
return default_config
with open(CONFIG_FILE, "r", encoding="utf-8") as f:
return json.load(f)
def save_config(config_data):
os.makedirs(SESSIONS_DIR, exist_ok=True)
with open(CONFIG_FILE, "w", encoding="utf-8") as f:
json.dump(config_data, f, indent=4, ensure_ascii=False)
backend/docker-compose.yml
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services:
aethas38-core:
build: .
container_name: aethas38-multi-ia
restart: unless-stopped
ports:
- "5002:5001"
environment:
- TZ=Europe/Paris
env_file:
- .env
extra_hosts:
- host.docker.internal:host-gateway
command: uvicorn main:app --host 0.0.0.0 --port 5001 --reload
volumes:
- /mnt/stockage_raid/AppData/MULTI-IA-AETHAS38/sessions:/app/sessions
- /mnt/stockage_raid/AppData/MULTI-IA-AETHAS38/logs:/app/logs
- /mnt/stockage_raid/AppData/MULTI-IA-AETHAS38/history.json:/app/history.json
networks:
- dockge-network
networks:
dockge-network:
external: true
backend/history_manager.py
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# history_manager.py
import os
import json
import uuid
from datetime import datetime
HISTORY_FILE = "sessions/history.json"
def load_index():
if not os.path.exists(HISTORY_FILE): return {}
with open(HISTORY_FILE, "r", encoding="utf-8") as f:
try: return json.load(f)
except: return {}[cite: 11]
def save_index(idx):
with open(HISTORY_FILE, "w", encoding="utf-8") as f:
json.dump(idx, f, indent=4, ensure_ascii=False)[cite: 11]
def load_session_data(session_id):
path = f"sessions/{session_id}.json"
if not os.path.exists(path): return []
with open(path, "r", encoding="utf-8") as f:
try: return json.load(f)
except: return [][cite: 11]
def save_session_data(session_id, messages):
with open(f"sessions/{session_id}.json", "w", encoding="utf-8") as f:
json.dump(messages, f, indent=4, ensure_ascii=False)[cite: 11]
def create_new_session():
session_id = str(uuid.uuid4())
idx = load_index()
idx[session_id] = {"title": f"Projet du {datetime.now().strftime('%d/%m %H:%M')}", "pinned": False}
save_index(idx)
save_session_data(session_id, [])
return session_id[cite: 11]
backend/main.py
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# main.py
from fasthtml.common import *
import os
import time
import requests
from dotenv import load_dotenv
from auth import verify_password, verify_totp
from catalog_manager import MODELS_DATA, load_catalog, save_catalog, get_budget, parse_txt_catalog
from history_manager import load_index, save_index, load_session_data, save_session_data, create_new_session
from ai_engine import ask_llm, async_ask_llm, log_event
load_dotenv()
theme_hdrs = [
Script(src="https://cdn.tailwindcss.com"),
Script(src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"),
Script(src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.9.0/highlight.min.js"),
Link(rel="stylesheet", href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.9.0/styles/tokyo-night-dark.min.css"),
Style("""
body { background-color: #0f172a; color: #f8fafc; font-family: system-ui, sans-serif; margin: 0;}
.sidebar { background-color: #1e293b; border-right: 1px solid #333; height: 100vh; padding: 20px; display: flex; flex-direction: column;}
.main-content { padding: 20px; height: 100vh; display: flex; flex-direction: column; position: relative;}
.chat-container { flex-grow: 1; overflow-y: auto; margin-bottom: 20px; border: 1px solid #333; padding: 15px; border-radius: 8px; background: #151e2e; }
.input-row { display: flex; gap: 10px; align-items: flex-end; width: 100%; background: #1e293b; padding: 10px; border-radius: 10px; border: 1px solid #333;}
.input-box { flex-grow: 1; padding: 12px; border-radius: 5px; background: #2a2a35; border: 1px solid #444; color: white; outline: none; }
.file-upload-btn { background: #2a2a35; border: 1px solid #444; color: #94a3b8; padding: 12px; border-radius: 5px; cursor: pointer; font-size:14px; display: flex; align-items:center; justify-content:center;}
.model-selector { padding: 8px; border-radius: 5px; background: #1e293b; border: 1px solid #444; color: #00e5ff; width: 100%; font-size: 12px; outline:none; }
.send-btn { padding: 12px 24px; border-radius: 5px; background: #00e5ff; color: #0f172a; font-weight: bold; cursor: pointer; border: none; }
.msg-user { color: #00e5ff; font-size: 12px; font-weight: bold; margin-bottom: 2px; margin-top: 15px;}
.msg-ia { color: #a855f7; font-size: 12px; font-weight: bold; margin-bottom: 2px; margin-top: 15px;}
.bubble-user { background: #1e293b; padding: 10px; border-radius: 5px; display: inline-block; color: white; border: 1px solid #333;}
.bubble-ia { background: #1e293b; padding: 15px; border-radius: 8px; display: block; color: #e2e8f0; border: 1px solid #333;}
.htmx-indicator { display: none; position: absolute; bottom: 180px; left: 50%; transform: translateX(-50%); background: rgba(15, 23, 42, 0.9); border: 1px solid #00e5ff; padding: 15px 30px; border-radius: 50px; color: #00e5ff; font-weight: bold; z-index: 50;}
.htmx-request .htmx-indicator { display: block; }
.export-btn { display: block; background: #0f172a; border: 1px solid #00e5ff; color: #00e5ff; font-weight: bold; padding: 10px; border-radius: 5px; text-align: center; cursor: pointer; width: 100%;}
"""),
Script("""
function filterModels() {
let filter = document.querySelector('input[name="filter_type"]:checked').value;
document.querySelectorAll('.model-selector option').forEach(opt => {
if(opt.value === "") return;
let isFree = opt.getAttribute('data-free') === 'true';
if(filter === 'free' && !isFree) opt.style.display = 'none';
else if(filter === 'paid' && isFree) opt.style.display = 'none';
else opt.style.display = 'block';
});
}
function validateMultiIA() {
let wCount = 0;
for(let i=1; i<=2; i++) { if(document.getElementById('worker'+i).value !== "") wCount++; }
if(wCount === 0) { alert("Erreur : Sélectionnez au moins une IA de travail."); return false; }
return true;
}
function updateFileCount(input) {
let label = document.getElementById('file-label-text');
if(input.files && input.files.length > 0) { label.innerText = `📎 ${input.files.length} fichier(s)`; label.style.color = '#00e5ff'; }
}
""")
]
app, rt = fast_app(secret_key=os.getenv("SESSION_SECRET", "super-secret-key-fallback"), hdrs=theme_hdrs)
os.makedirs("sessions", exist_ok=True)
@rt('/login')
def get():
return Title("Connexion - AETHAS38"), Body(
Div(
H2("AETHAS 38 - Accès Sécurisé", style="color:#00e5ff; margin-bottom:20px; text-align:center;"),
Form(
Input(type="email", name="email", placeholder="E-mail", cls="input-box mb-3 w-full", required=True),
Input(type="password", name="password", placeholder="Mot de passe", cls="input-box mb-3 w-full", required=True),
Input(type="text", name="totp_code", placeholder="Code 2FA (6 chiffres)", cls="input-box mb-4 w-full", required=True),
Button("Se connecter", type="submit", cls="send-btn w-full"),
hx_post="/auth/login", hx_target="#auth-response"
),
Div(id="auth-response", style="color:red; margin-top:10px; text-align:center;"),
cls="sidebar", style="margin: auto; width: 400px; height: auto; border-radius: 10px; margin-top: 15vh;"
), style="background-color: #0f172a; height: 100vh; display: flex;"
)
@rt('/auth/login')
def post(email: str, password: str, totp_code: str, session):
if email == os.getenv("ADMIN_EMAIL") and verify_password(os.getenv("ADMIN_PASSWORD_HASH"), password) and verify_totp(os.getenv("ADMIN_2FA_SECRET"), totp_code):
session["authenticated"] = True
session["role"] = "admin"
return Script("window.location.href = '/';")
return Div("Identifiants ou code 2FA incorrects.", style="color:#ef4444; font-weight:bold;")
@rt('/logout')
def get(session):
session.clear()
return RedirectResponse('/login')
@rt('/check_updates')
def get(session):
if not session.get("authenticated"): return Span("")
try:
res = requests.get("https://gitea.aethas38.duckdns.org/api/v1/repos/xavier/MULTI-IA-CODAGE/commits?limit=1", timeout=3)
if res.status_code == 200:
return Span(f"🟢 Gitea Connecté ({res.json()[0].get('sha', '')[:7]})", style="color:#10b981;")
except: pass
return Span("🟠 Gitea hors ligne", style="color:#fbbf24;")
def render_history_list():
idx = load_index()
items = [Button("➕ Nouveau Projet", cls="export-btn mb-3", style="background:#10b981; color:#0f172a;", hx_get="/session/new", hx_target="#chat-history")]
for sid, data in idx.items():
items.append(Div(Div(data['title'], cls="truncate flex-grow cursor-pointer text-sm hover:text-cyan-400", hx_get=f"/session/load/{sid}", hx_target="#chat-history"), cls="flex justify-between items-center w-full mb-2 bg-[#2a2a35] p-2 rounded border border-[#444]"))
return Div(*items, id="history-list-container", hx_swap_oob="true")
def render_model_dropdown(field_id, placeholder):
groups = {}
for m in MODELS_DATA:
prov = m.get('provider', 'Général')
if prov not in groups: groups[prov] = []
groups[prov].append(m)
opts = [Option("--- Laisser vide ---", value="")]
for prov in sorted(groups.keys()):
grp_opts = [Option(f"{m['name']} ({'Gratuit' if str(m.get('is_free'))=='True' else 'Payant'})", value=m['id'], **{"data-free": str(m.get('is_free', False)).lower()}) for m in groups[prov]]
opts.append(Optgroup(label=prov)(*grp_opts))
return Div(P(placeholder, style="color:#94a3b8; font-size:10px; font-weight:bold; margin-bottom:2px;"), Select(*opts, name=field_id, id=field_id, cls="model-selector", onchange="filterModels()"), style="margin-bottom: 8px;")
SESSION_PROGRESS = {}
@rt('/status/{sid}')
def get_status(sid: str):
return SESSION_PROGRESS.get(sid, "⚙️ Traitement en cours...")
@rt('/')
def get(session):
if not session.get("authenticated"): return RedirectResponse('/login')
session_id = create_new_session()
return Title("AETHAS38 Orchestrateur"), Body(
Div(
Div(
H2("AETHAS 38", style="color:#00e5ff; font-weight:bold; font-size:24px;"),
Div("⏳ Vérification GitHub...", hx_get="/check_updates", hx_trigger="load", style="font-size:10px; margin-bottom:15px;"),
Div(H3("Historique", style="color:#94a3b8; font-size:12px; font-weight:bold; margin-bottom:10px;"), render_history_list(), style="flex-grow:1; overflow:hidden;"),
Button("📥 Exporter Modèles", type="button", cls="export-btn mb-2", onclick="window.location.href='/export_models'"),
A("Déconnexion", href="/logout", cls="export-btn text-center", style="color:#ef4444; border-color:#ef4444;"),
Div(P("BUDGET", style="color:#94a3b8; font-size:10px; font-weight:bold; margin-top:8px;"), P(get_budget(), id="budget-display", style="color:#10b981; font-size:16px; font-weight:bold;")),
cls="sidebar"
),
Div(
Div(id="chat-history", cls="chat-container"),
Div(Span("⚙️ Préparation...", id="loading-text"), id="loading-tracker", cls="htmx-indicator"),
Form(
Input(type="hidden", name="session_id", value=session_id, id="current-session-id"),
Div(
Div(render_model_dropdown("writer", "1. Rédacteur"), render_model_dropdown("synthesizer", "7. Concaténeur"), style="border-right: 1px solid #444; padding-right:15px;"),
Div(render_model_dropdown("worker1", "2. Travailleur 1"), render_model_dropdown("worker2", "3. Travailleur 2"), style="padding: 0 15px;"),
cls="grid grid-cols-2 gap-4 mb-4 bg-[#151e2e] p-4 rounded border border-[#333]"
),
Div(
Input(type="file", name="fichiers", id="file-upload", multiple=True, style="display:none;", onchange="updateFileCount(this)"),
Label(Span("📎 Fichiers", id="file-label-text"), _for="file-upload", cls="file-upload-btn w-40"),
Input(type="text", name="msg", placeholder="Votre consigne...", cls="input-box", required=True),
Button("Lancer", type="submit", cls="send-btn"),
cls="input-row"
),
hx_post="/chat", hx_target="#chat-history", hx_swap="beforeend", hx_indicator="#loading-tracker", enctype="multipart/form-data",
onsubmit="return validateMultiIA();"
),
cls="main-content"
),
style="display: grid; grid-template-columns: 280px 1fr;"
)
)
@rt('/chat')
async def post(msg: str, session_id: str, session, writer: str = "", worker1: str = "", worker2: str = "", synthesizer: str = "", fichiers: list[UploadFile] = None):
if not session.get("authenticated"): return RedirectResponse('/login')
workers = [w for w in [worker1, worker2] if w]
SESSION_PROGRESS[session_id] = "⚡ Traitement des IA en cours..."
tasks = [async_ask_llm(session_id, w, msg) for w in workers]
results = await asyncio.gather(*tasks)
final_response = results[0] if results else "Aucun travailleur configuré."
session_data = load_session_data(session_id)
session_data.append({"user": msg, "ia": final_response})
save_session_data(session_id, session_data)
return Div(P("Vous", cls="msg-user"), Div(msg, cls="bubble-user"), P("AETHAS38", cls="msg-ia"), Div(final_response, cls="bubble-ia")), P(get_budget(), id="budget-display", style="color:#10b981; font-size:16px; font-weight:bold;", hx_swap_oob="true")
@rt('/export_models')
def get(session):
if not session.get("authenticated"): return RedirectResponse('/login')
return Response("=== CATALOGUE ===\nID: groq|llama-3.1-8b-instant\nTarif: Gratuit", media_type="text/plain", headers={"Content-Disposition": "attachment; filename=modeles.txt"})
@rt('/session/new')
def get(session):
if not session.get("authenticated"): return RedirectResponse('/login')
sid = create_new_session()
return Div(), Input(type="hidden", name="session_id", value=sid, id="current-session-id", hx_swap_oob="true"), render_history_list()
@rt('/session/load/{sid}')
def get(sid: str, session):
if not session.get("authenticated"): return RedirectResponse('/login')
messages = load_session_data(sid)
return tuple(Div(P("Vous", cls="msg-user"), Div(m['user'], cls="bubble-user"), P("AETHAS38", cls="msg-ia"), Div(m['ia'], cls="bubble-ia")) for m in messages) + (Input(type="hidden", name="session_id", value=sid, id="current-session-id", hx_swap_oob="true"),)
if __name__ == '__main__':
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=5001)
backend/setup.py
-148
View File
@@ -1,148 +0,0 @@
import os
import platform
import re
import pyotp
import qrcode
import psutil
from dotenv import load_dotenv
def clear_screen():
os.system('cls' if platform.system() == 'Windows' else 'clear')
def check_hardware():
print("=" * 60)
print(" 🖥️ ANALYSE DU MATÉRIEL ET LOGICIEL DU SERVEUR")
print("=" * 60)
cpu_count = psutil.cpu_count(logical=True)
ram_gb = round(psutil.virtual_memory().total / (1024**3), 2)
os_info = f"{platform.system()} {platform.release()}"
print(f"• Système d'exploitation : {os_info}")
print(f"• Cœurs CPU logiques : {cpu_count}")
print(f"• Mémoire RAM totale : {ram_gb} Go")
# Évaluation pour phuzzy/minecraft
print("\n[Vérification du modèle lourd : phuzzy/minecraft]")
if ram_gb < 16:
print("⚠️ AVERTISSEMENT CRITIQUE : Votre serveur dispose de moins de 16 Go de RAM/VRAM.")
print(" Le modèle 'phuzzy/minecraft' requiert des ressources importantes.")
print(" Risque de ralentissements sévères ou de plantage par manque de mémoire (OOM).")
else:
print("✅ La configuration matérielle semble suffisante pour exécuter les modèles locaux (Qwen & Phuzzy).")
print("-" * 60 + "\n")
def validate_password(password):
if len(password) < 12:
return "Le mot de passe doit contenir au moins 12 caractères."
if not re.search(r"[A-Z]", password):
return "Le mot de passe doit contenir au moins une majuscule."
if not re.search(r"[a-z]", password):
return "Le mot de passe doit contenir au moins une minuscule."
if not re.search(r"[0-9]", password):
return "Le mot de passe doit contenir au moins un chiffre."
if not re.search(r"[!@#$%^&*(),.?\":{}|<>]", password):
return "Le mot de passe doit contenir au moins un caractère spécial."
return None
def configure_admin():
print("=" * 60)
print(" 🔑 CRÉATION DU COMPTE ADMINISTRATEUR & SÉCURITÉ 2FA")
print("=" * 60)
email = input("Entrez l'e-mail administrateur : ").strip()
while True:
password = input("Définissez le mot de passe (min. 12 caractères, majuscules, minuscules, chiffres, symboles) : ").strip()
err = validate_password(password)
if err:
print(f"❌ Erreur : {err}")
else:
print("✅ Mot de passe valide.")
break
# Génération 2FA (TOTP)
totp_secret = pyotp.random_base32()
totp_uri = pyotp.totp.TOTP(totp_secret).provisioning_uri(name=email, issuer_name="AETHAS38-Hub")
print("\n--- DOUBLE AUTHENTIFICATION (2FA) ---")
print("Scannez le QR code ci-dessous avec votre application (Google Authenticator, KeePassXC, etc.) :")
# Génération d'un QR code dans le terminal en texte ASCII
qr = qrcode.QRCode()
qr.add_data(totp_uri)
qr.make(fit=True)
qr.print_ascii(invert=True)
print(nis := f"Clé secrète manuelle (si besoin) : {totp_secret}")
print("-" * 60 + "\n")
return email, password, totp_secret
def configure_api_keys():
print("=" * 60)
print(" 🌐 CONFIGURATION DES CLÉS API (PAR SPÉCIALITÉ)")
print("=" * 60)
print("Laissez vide si vous ne possédez pas la clé pour l'instant.\n")
keys = {}
print("1. [CODAGE & RAISONNEMENT] - OpenRouter & Management Key")
print(" -> Où la trouver : https://openrouter.ai/settings/keys")
keys["OPENROUTER_API_KEY"] = input(" Entrez OPENROUTER_API_KEY : ").strip()
keys["OPENROUTER_MANAGEMENT_KEY"] = input(" Entrez OPENROUTER_MANAGEMENT_KEY (pour le suivi du budget) : ").strip()
print("\n2. [CODAGE ULTRA-RAPIDE] - Groq")
print(" -> Où la trouver : https://console.groq.com/keys")
keys["GROQ_API_KEY"] = input(" Entrez GROQ_API_KEY : ").strip()
print("\n3. [MULTIMODAL & CODE] - Google Gemini")
print(" -> Où la trouver : https://aistudio.google.com/app/apikey")
keys["GEMINI_API_KEY"] = input(" Entrez GEMINI_API_KEY : ").strip()
print("\n4. [CODAGE AVANCÉ] - DeepSeek")
print(" -> Où la trouver : https://platform.deepseek.com/api_keys")
keys["DEEPSEEK_API_KEY"] = input(" Entrez DEEPSEEK_API_KEY : ").strip()
print("\n5. [TEXTE & GÉNÉRAL] - Mistral AI")
print(" -> Où la trouver : https://console.mistral.ai/api-keys/")
keys["MISTRAL_API_KEY"] = input(" Entrez MISTRAL_API_KEY : ").strip()
print("\n6. [INFRASTRUCTURE & IA EDGE] - Cloudflare")
print(" -> Où la trouver : Tableau de bord Cloudflare (Workers & Pages > AI)")
keys["CLOUDFLARE_ACCOUNT_ID"] = input(" Entrez CLOUDFLARE_ACCOUNT_ID : ").strip()
keys["CLOUDFLARE_API_TOKEN"] = input(" Entrez CLOUDFLARE_API_TOKEN : ").strip()
print("\n7. [MODÈLES LIBRES] - HuggingFace")
print(" -> Où la trouver : https://huggingface.co/settings/tokens")
keys["HUGGINGFACE_API_KEY"] = input(" Entrez HUGGINGFACE_API_KEY : ").strip()
print("-" * 60 + "\n")
return keys
def save_env(keys, admin_data):
env_content = f"""# ==========================================
# AETHAS38 - CONFIGURATION AUTOMATISÉE
# ==========================================
# Administrateur principal
ADMIN_EMAIL={admin_data[0]}
ADMIN_PASSWORD_HASH={admin_data[1]}
ADMIN_2FA_SECRET={admin_data[2]}
# Clés API Distantes
"""
for k, v in keys.items():
env_content += f"{k}={v}\n"
with open(".env", "w", encoding="utf-8") as f:
f.write(env_content)
print("✅ Fichier .env généré avec succès !")
if __name__ == "__main__":
clear_screen()
check_hardware()
admin_data = configure_admin()
keys = configure_api_keys()
save_env(keys, admin_data)
print("\n🎉 Installation et configuration initiale terminées avec succès !")
print("Vous pouvez maintenant lancer le service Dockge / Docker.")
frontend/index.html
-311
View File
@@ -1,311 +0,0 @@
<!DOCTYPE html>
<html lang="fr">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>AETHAS38 - Orchestrateur</title>
<script src="https://cdn.tailwindcss.com"></script>
<script src="https://unpkg.com/vue@3/dist/vue.global.js"></script>
<style>
body { background-color: #0f172a; color: #f8fafc; }
.card { background-color: #1e293b; border: 1px solid #333; border-radius: 8px; padding: 20px; margin-bottom: 20px; }
.input-box { width: 100%; padding: 10px; border-radius: 5px; background: #2a2a35; border: 1px solid #444; color: white; margin-top: 5px; outline: none; }
.input-box:focus { border-color: #00e5ff; }
.btn-primary { background-color: #00e5ff; color: #0f172a; font-weight: bold; padding: 10px 20px; border-radius: 5px; cursor: pointer; transition: 0.2s; }
.btn-primary:hover { background-color: #38bdf8; }
.btn-primary:disabled { background-color: #334155; color: #94a3b8; cursor: not-allowed; }
.btn-export { background-color: #334155; color: #38bdf8; font-size: 11px; font-weight: bold; padding: 4px 8px; border-radius: 4px; cursor: pointer; border: 1px solid #475569; }
.btn-export:hover { background-color: #475569; color: #00e5ff; }
.btn-danger { background-color: #f43f5e; color: white; padding: 5px 10px; border-radius: 5px; cursor: pointer; font-size: 12px; }
.tab-btn { padding: 10px 20px; font-weight: bold; cursor: pointer; transition: 0.2s; border-bottom: 2px solid transparent; }
.tab-active { color: #00e5ff; border-bottom-color: #00e5ff; }
.tab-inactive { color: #64748b; }
.tab-inactive:hover { color: #94a3b8; }
</style>
</head>
<body class="p-8">
<div id="app" class="max-w-5xl mx-auto">
<!-- En-tête & Suivi financier OpenRouter -->
<div class="flex justify-between items-center mb-6">
<h1 class="text-3xl font-bold text-[#00e5ff]">🤖 AETHAS38</h1>
<div class="bg-slate-800 border border-slate-700 px-4 py-2 rounded text-xs flex space-x-4">
<span>💰 OpenRouter - Crédit : <strong class="text-emerald-400">{{ orCredits.limit }}</strong></span>
<span>Consommation : <strong class="text-amber-400">{{ orCredits.usage }}</strong></span>
</div>
</div>
<!-- Navigation Onglets -->
<div class="flex space-x-2 mb-8 border-b border-gray-700">
<button @click="currentTab = 'admin'" :class="currentTab === 'admin' ? 'tab-active' : 'tab-inactive'" class="tab-btn">⚙️ Administration & Modèles</button>
<button @click="currentTab = 'studio'" :class="currentTab === 'studio' ? 'tab-active' : 'tab-inactive'" class="tab-btn">🎬 Studio Média</button>
<button @click="currentTab = 'documents'" :class="currentTab === 'documents' ? 'tab-active' : 'tab-inactive'" class="tab-btn">📂 Documents & Exports</button>
</div>
<div v-if="notification" class="mb-4 p-4 rounded bg-emerald-900/50 border border-emerald-500 text-emerald-400">
{{ notification }}
</div>
<!-- ONGLET : ADMINISTRATION & CATALOGUE DE MODÈLES -->
<div v-if="currentTab === 'admin'">
<div class="card">
<h2 class="text-xl font-bold text-purple-400 mb-4">🔑 Clés API & Suivi</h2>
<div class="grid grid-cols-1 md:grid-cols-2 gap-4">
<div>
<label class="text-xs font-bold text-gray-400">OpenRouter API Key</label>
<input type="password" v-model="config.api_keys.openrouter" class="input-box" placeholder="sk-or-v1-...">
</div>
<div>
<label class="text-xs font-bold text-gray-400">Groq API Key</label>
<input type="password" v-model="config.api_keys.groq" class="input-box" placeholder="gsk_...">
</div>
</div>
</div>
<!-- Gestion et Choix des Modèles (Gratuit / Payant & Catégorie) -->
<div class="card">
<div class="flex justify-between items-center mb-4">
<h2 class="text-xl font-bold text-cyan-400">🎛️ Sélection & Filtrage des Modèles</h2>
<div class="space-x-2">
<select v-model="modelFilterPricing" class="bg-slate-800 text-xs text-gray-300 p-2 rounded border border-gray-700">
<option value="all">Tous les tarifs</option>
<option value="free">🟢 Gratuit uniquement</option>
<option value="paid">🟠 Payant</option>
</select>
<button @click="exportModelsJson" class="btn-export">Exporter Catalogue JSON</button>
</div>
</div>
<div class="grid grid-cols-1 md:grid-cols-3 gap-4 mb-4">
<div>
<label class="text-xs text-gray-400">Filtrer par Catégorie / Spécialité</label>
<input type="text" v-model="modelSearchCat" class="input-box text-xs" placeholder="Ex: Texte, Vision, Code...">
</div>
<div class="md:col-span-2">
<label class="text-xs text-gray-400">Modèle Actif Sélectionné</label>
<input type="text" v-model="selectedActiveModel" class="input-box text-xs text-emerald-400 font-bold" readonly>
</div>
</div>
<div class="bg-slate-900 p-4 rounded border border-gray-700 max-h-60 overflow-y-auto text-xs space-y-2">
<div v-for="m in filteredModels" :key="m.id" @click="selectedActiveModel = m.id" class="p-2 bg-slate-800 rounded hover:bg-slate-700 cursor-pointer flex justify-between items-center">
<div>
<strong class="text-cyan-300">{{ m.name }}</strong> <span class="text-gray-500">({{ m.id }})</span>
<p class="text-gray-400">{{ m.description }}</p>
</div>
<span :class="m.pricing === 'free' ? 'text-emerald-400 bg-emerald-950 px-2 py-1 rounded text-[10px]' : 'text-amber-400 bg-amber-950 px-2 py-1 rounded text-[10px]'">
{{ m.pricing === 'free' ? 'GRATUIT' : 'PAYANT' }}
</span>
</div>
</div>
</div>
<div class="flex justify-end mt-6">
<button @click="saveConfig" class="btn-primary text-lg">💾 Sauvegarder la Configuration</button>
</div>
</div>
<!-- ONGLET : STUDIO MÉDIA -->
<div v-if="currentTab === 'studio'">
<div class="card">
<h2 class="text-xl font-bold text-purple-400 mb-4">🎬 Studio Multimédia</h2>
<div class="grid grid-cols-1 md:grid-cols-4 gap-4 mb-4">
<div class="md:col-span-3">
<label class="text-xs font-bold text-gray-400">Votre Prompt</label>
<input type="text" v-model="mediaPrompt" class="input-box" placeholder="A futuristic city...">
</div>
<div>
<label class="text-xs font-bold text-gray-400">Type</label>
<select v-model="mediaType" class="input-box">
<option value="image">🖼️ Image</option>
<option value="voice">🎙️ Voix</option>
<option value="music">🎵 Musique</option>
</select>
</div>
</div>
<div class="flex justify-end">
<button @click="generateMedia" :disabled="isGenerating || !mediaPrompt" class="btn-primary">
{{ isGenerating ? '⏳ Génération...' : '✨ Générer' }}
</button>
</div>
</div>
<div v-if="generatedMediaUrl" class="card text-center">
<h3 class="font-bold text-gray-300 mb-4">Résultat :</h3>
<img :src="generatedMediaUrl" class="max-w-full h-auto mx-auto rounded border border-gray-600 shadow-lg">
<div class="mt-4"><a :href="generatedMediaUrl" download class="text-[#00e5ff] hover:underline text-sm font-bold">⬇️ Télécharger</a></div>
</div>
</div>
<!-- ONGLET : DOCUMENTS & EXPORTS -->
<div v-if="currentTab === 'documents'">
<div class="card">
<h2 class="text-xl font-bold text-blue-400 mb-4">📂 Analyse de Documents & Exports Multi-formats</h2>
<div class="mb-4">
<label class="text-xs font-bold text-gray-400">Sélectionner un fichier (PDF, Word, TXT)</label>
<input type="file" @change="handleFileUpload" class="input-box file:mr-4 file:py-2 file:px-4 file:rounded file:border-0 file:text-sm file:font-semibold file:bg-[#00e5ff] file:text-[#0f172a] hover:file:bg-[#38bdf8] cursor-pointer">
</div>
<div class="mb-4">
<label class="text-xs font-bold text-gray-400">Instruction associée</label>
<textarea v-model="docPrompt" rows="3" class="input-box" placeholder="Ex: Résume ce document..."></textarea>
</div>
<div class="flex justify-end">
<button @click="uploadDocument" :disabled="isUploading || !selectedFile" class="btn-primary">
{{ isUploading ? '⏳ Traitement...' : '🚀 Envoyer et Analyser' }}
</button>
</div>
</div>
<div v-if="docResult" class="card">
<div class="flex justify-between items-center mb-2">
<h3 class="font-bold text-emerald-400">Rapport : {{ docResult.filename }}</h3>
<!-- Boutons d'export directs (PDF, TXT, MD, JSON) -->
<div class="flex space-x-2">
<span class="text-xs text-gray-400 self-center">Exporter en :</span>
<button @click="exportData(docResult.full_text, 'document_result', 'pdf')" class="btn-export">PDF</button>
<button @click="exportData(docResult.full_text, 'document_result', 'txt')" class="btn-export">TXT</button>
<button @click="exportData(docResult.full_text, 'document_result', 'md')" class="btn-export">MD</button>
<button @click="exportData(docResult.full_text, 'document_result', 'json')" class="btn-export">JSON</button>
</div>
</div>
<div class="bg-slate-900 p-4 rounded border border-gray-700 whitespace-pre-wrap text-sm text-gray-200">
{{ docResult.extracted_preview }}
</div>
</div>
</div>
</div>
<script>
const { createApp, ref, computed, onMounted } = Vue;
createApp({
setup() {
const currentTab = ref('admin');
const config = ref({ api_keys: {}, custom_providers: [] });
const notification = ref("");
const orCredits = ref({ limit: "Chargement...", usage: "..." });
// Modèles et filtres
const modelFilterPricing = ref("free");
const modelSearchCat = ref("");
const selectedActiveModel = ref("groq/llama-3.1-8b-instant");
const availableModels = ref([
{ id: "groq/llama-3.1-8b-instant", name: "Groq Llama 3.1 8B", pricing: "free", category: "Texte", description: "Modèle ultra-rapide sur Groq" },
{ id: "google/gemini-1.5-flash", name: "Gemini 1.5 Flash", pricing: "free", category: "Vision / Multimodal", description: "Modèle léger Google" },
{ id: "anthropic/claude-3.5-sonnet", name: "Claude 3.5 Sonnet", pricing: "paid", category: "Texte / Code", description: "Modèle de pointe Anthropic" },
{ id: "black-forest-labs/flux-schnell", name: "Flux Schnell", pricing: "free", category: "Image", description: "Génération d'images rapide" }
]);
const filteredModels = computed(() => {
return availableModels.value.filter(m => {
const matchPricing = modelFilterPricing.value === 'all' || m.pricing === modelFilterPricing.value;
const matchCat = !modelSearchCat.value || m.category.toLowerCase().includes(modelSearchCat.value.toLowerCase()) || m.name.toLowerCase().includes(modelSearchCat.value.toLowerCase());
return matchPricing && matchCat;
});
});
const mediaPrompt = ref("");
const mediaType = ref("image");
const isGenerating = ref(false);
const generatedMediaUrl = ref(null);
const selectedFile = ref(null);
const docPrompt = ref("");
const isUploading = ref(false);
const docResult = ref(null);
const loadConfig = async () => {
const res = await fetch('/api/config');
config.value = await res.json();
const credRes = await fetch('/api/openrouter/credits');
orCredits.value = await credRes.json();
};
const saveConfig = async () => {
const res = await fetch('/api/config', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(config.value)
});
const data = await res.json();
notification.value = data.message;
setTimeout(() => notification.value = "", 3000);
};
const exportModelsJson = () => {
const dataStr = "data:text/json;charset=utf-8," + encodeURIComponent(JSON.stringify(availableModels.value, null, 4));
const downloadAnchor = document.createElement('a');
downloadAnchor.setAttribute("href", dataStr);
downloadAnchor.setAttribute("download", "aethas38_models_catalog.json");
document.body.appendChild(downloadAnchor);
downloadAnchor.click();
downloadAnchor.remove();
};
const generateMedia = async () => {
if (!mediaPrompt.value) return;
isGenerating.value = true;
try {
const res = await fetch('/api/media/generate', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ prompt: mediaPrompt.value, media_type: mediaType.value })
});
const data = await res.json();
if (res.ok) generatedMediaUrl.value = data.url;
else alert(data.detail);
} catch (e) { alert("Erreur réseau"); }
finally { isGenerating.value = false; }
};
const handleFileUpload = (event) => { selectedFile.value = event.target.files[0]; };
const uploadDocument = async () => {
if (!selectedFile.value) return;
isUploading.value = true;
docResult.value = null;
const formData = new FormData();
formData.append("file", selectedFile.value);
formData.append("prompt", docPrompt.value);
try {
const res = await fetch('/api/documents/process', { method: 'POST', body: formData });
const data = await res.json();
if (res.ok) docResult.value = data;
else alert(data.detail || "Erreur document");
} catch (e) { alert("Erreur connexion"); }
finally { isUploading.value = false; }
};
const exportData = async (content, type, format) => {
try {
const res = await fetch('/api/export', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ content, format, type })
});
if (!res.ok) throw new Error("Erreur export");
const blob = await res.blob();
const url = window.URL.createObjectURL(blob);
const a = document.createElement('a');
a.href = url;
a.download = `aethas38_${type}.${format}`;
document.body.appendChild(a);
a.click();
a.remove();
window.URL.revokeObjectURL(url);
} catch (e) { alert("Erreur téléchargement export."); }
};
onMounted(loadConfig);
return {
currentTab, config, notification, orCredits, saveConfig,
modelFilterPricing, modelSearchCat, selectedActiveModel, availableModels, filteredModels, exportModelsJson,
mediaPrompt, mediaType, isGenerating, generatedMediaUrl, generateMedia,
selectedFile, docPrompt, isUploading, docResult, handleFileUpload, uploadDocument, exportData
};
}
}).mount('#app');
</script>
</body>
</html>
history.json
-7
View File
@@ -1,7 +0,0 @@
{
"8f36f77c-688a-4608-bfcc-38f36090ddd4": {
"title": "Discussion du 05/10 10:47",
"pinned": false,
"messages": []
}
}
main - Copie.py
-537
View File
@@ -1,537 +0,0 @@
from fasthtml.common import *
import os
import requests
import json
import uuid
import asyncio
from datetime import datetime
from dotenv import load_dotenv
load_dotenv()
# 2. INITIALISATION DE FASTHTML EN PREMIER (C'est ici que 'rt' est créé)
app, rt = fast_app()
from auth import validate_password_strength, hash_password, verify_password, generate_totp_secret, verify_totp
# Exemple de structure pour les routes de connexion (Login / Setup initial)
@rt('/login')
def get():
return Title("Connexion - AETHAS38"), Body(
Div(
H2("AETHAS 38 - Sécurité", style="color:#00e5ff; margin-bottom:20px;"),
Form(
Input(type="email", name="email", placeholder="E-mail", cls="input-box mb-3", required=True),
Input(type="password", name="password", placeholder="Mot de passe", cls="input-box mb-3", required=True),
Input(type="text", name="totp_code", placeholder="Code 2FA (6 chiffres)", cls="input-box mb-3", required=True),
Button("Se connecter", type="submit", cls="send-btn w-full"),
hx_post="/auth/login", hx_target="#auth-response"
),
Div(id="auth-response", style="color:red; margin-top:10px;"),
cls="sidebar", style="margin: auto; width: 400px; height: auto; border-radius: 10px; margin-top: 15vh;"
), style="background-color: #0f172a; height: 100vh; display: flex;"
)
# --- 0. INITIALISATION DES DOSSIERS (BDD & LOGS) ---
os.makedirs("sessions", exist_ok=True)
os.makedirs("logs", exist_ok=True)
# Un seul fichier de log par lancement d'application
APP_LAUNCH_TIME = datetime.now().strftime("%Y%m%d_%H%M%S")
LOG_FILE = f"logs/AETHAS38_Run_{APP_LAUNCH_TIME}.log"
def log_event(session_id, category, action):
"""Enregistre chaque action dans le fichier log global avec catégorisation."""
sid_short = session_id[:8] if session_id and session_id != "system" else "SYSTEM"
timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
with open(LOG_FILE, "a", encoding="utf-8") as f:
f.write(f"[{timestamp}] [Session:{sid_short}] [{category}] {action}\n")
# --- 1. GESTION DE L'HISTORIQUE (INDEX & SESSIONS) ---
HISTORY_FILE = "history.json"
def load_index():
if not os.path.exists(HISTORY_FILE): return {}
with open(HISTORY_FILE, "r", encoding="utf-8") as f:
try:
idx = json.load(f)
for sid, data in list(idx.items()):
if "messages" in data:
save_session_data(sid, data["messages"])
del data["messages"]
return idx
except: return {}
def save_index(idx):
with open(HISTORY_FILE, "w", encoding="utf-8") as f:
json.dump(idx, f, indent=4, ensure_ascii=False)
def load_session_data(session_id):
path = f"sessions/{session_id}.json"
if not os.path.exists(path): return []
with open(path, "r", encoding="utf-8") as f:
try: return json.load(f)
except: return []
def save_session_data(session_id, messages):
with open(f"sessions/{session_id}.json", "w", encoding="utf-8") as f:
json.dump(messages, f, indent=4, ensure_ascii=False)
def create_new_session():
session_id = str(uuid.uuid4())
idx = load_index()
idx[session_id] = {"title": f"Discussion du {datetime.now().strftime('%d/%m %H:%M')}", "pinned": False}
save_index(idx)
save_session_data(session_id, [])
log_event(session_id, "USER_ACTION", "Nouvelle session initialisée.")
return session_id
def render_history_list():
idx = load_index()
sorted_sessions = sorted(idx.items(), key=lambda x: (not x[1].get('pinned', False), x[1]['title']), reverse=False)
items = [
Button("➕ Nouvelle Discussion", cls="history-btn w-full mb-3 text-center", style="background:#00e5ff; color:#0f172a; font-weight:bold;", hx_get="/session/new", hx_target="#chat-history")
]
for sid, data in sorted_sessions:
pin_icon = "📍" if data.get('pinned') else "📌"
pin_color = "#10b981" if data.get('pinned') else "#94a3b8"
item = Div(
Div(data['title'], cls="truncate flex-grow cursor-pointer hover:text-cyan-400", hx_get=f"/session/load/{sid}", hx_target="#chat-history"),
Div(
Button("✏️", cls="text-xs mx-1 hover:text-white", onclick=f"let name = prompt('Nouveau nom:'); if(name) {{ htmx.ajax('POST', '/history/rename/{sid}', {{values: {{title: name}}, target: '#history-list-container'}}); }}"),
Button(pin_icon, style=f"color:{pin_color};", cls="text-xs mx-1 hover:text-white", hx_post=f"/history/pin/{sid}", hx_target="#history-list-container"),
Button("🗑️", cls="text-xs hover:text-red-500", onclick=f"if(confirm('Supprimer définitivement cette discussion ?')) {{ htmx.ajax('POST', '/history/delete/{sid}', {{target: '#history-list-container'}}); }}"),
cls="flex-shrink-0"
),
cls="flex justify-between items-center history-btn w-full mb-1"
)
items.append(item)
return Div(*items, id="history-list-container", hx_swap_oob="true")
# --- 2. GESTION DU CATALOGUE (GENERIQUE & OPENROUTER) ---
MODELS_DATA = []
def init_models():
global MODELS_DATA
MODELS_DATA = [
{"id": "groq|llama3-8b-8192", "name": "Groq - Llama 3 (8B)", "is_free": True, "description": "Modèle ultra-rapide hébergé par Groq. Idéal pour les tâches générales, la structuration de données et le code basique.", "architecture": {"modality": "text"}},
{"id": "gemini|gemini-1.5-flash", "name": "Google - Gemini 1.5 Flash", "is_free": True, "description": "Modèle multimodal très rapide et léger de Google. Parfait pour le raisonnement rapide, le code et l'analyse de longs contextes.", "architecture": {"modality": "text/vision"}},
{"id": "deepseek|deepseek-coder", "name": "DeepSeek - Coder", "is_free": False, "description": "Modèle d'élite spécialisé dans l'ingénierie logicielle, la création d'algorithmes et la génération de code complexe.", "architecture": {"modality": "text/code"}}
]
try:
res = requests.get("https://openrouter.ai/api/v1/models", timeout=5)
if res.status_code == 200:
for m in res.json().get("data", []):
m["id"] = f"openrouter|{m['id']}"
m["name"] = f"OR - {m['name']}"
MODELS_DATA.append(m)
except Exception as e:
log_event("system", "ERROR", f"Erreur chargement catalogue OpenRouter : {e}")
init_models()
def get_model_options(filter_type="all"):
options = []
for m in sorted(MODELS_DATA, key=lambda x: x['name']):
is_free = m.get("is_free", "free" in m.get("id", "").lower())
if filter_type == "free" and not is_free: continue
if filter_type == "paid" and is_free: continue
tag = "Gratuit" if is_free else "Payant"
options.append(Option(f"{m['name']} ({tag})", value=m['id']))
return Select(*options, name="model_id", cls="model-select", style="width: 100%;")
# --- 3. MOTEUR D'INTELLIGENCE & GESTION DES ERREURS ---
def get_budget():
mgmt_key = os.getenv("OPENROUTER_MANAGEMENT_KEY")
if not mgmt_key: return "Clé manquante"
try:
data = requests.get("https://openrouter.ai/api/v1/credits", headers={"Authorization": f"Bearer {mgmt_key}"}, timeout=5).json().get("data", {})
return f"{data.get('total_credits', 0) - data.get('total_usage', 0):.4f} $"
except: return "Erreur lecture"
def handle_api_error(session_id, provider, raw_error):
log_event(session_id, "ERROR", f"Erreur API {provider} : {raw_error}")
sys_prompt = "Tu es un assistant technique. Une API distante a renvoyé l'erreur suivante. Traduis-la en français simplement et propose une explication claire pour aider l'utilisateur."
try:
qwen_res = requests.post("http://localhost:11434/api/generate", json={"model": "qwen2.5-coder:7b", "prompt": f"{sys_prompt}\n\nErreur ({provider}): {raw_error}", "stream": False}, timeout=15).json()["response"]
return f"⚠️ **Alerte Serveur ({provider})**\n{qwen_res}"
except:
return f"⚠️ Erreur brute ({provider}) : {raw_error}"
async def async_ask_llm(session_id, provider, actual_model, msg):
return await asyncio.to_thread(ask_llm, session_id, provider, actual_model, msg)
def ask_llm(session_id, provider, actual_model, msg):
log_event(session_id, "API_REQ", f"Interrogation API distantes : {provider} | Modèle : {actual_model}")
try:
if provider == "openrouter":
res = requests.post("https://openrouter.ai/api/v1/chat/completions", headers={"Authorization": f"Bearer {os.getenv('OPENROUTER_API_KEY')}"}, json={"model": actual_model, "messages": [{"role": "user", "content": msg}]})
if res.status_code != 200: return handle_api_error(session_id, provider, res.text)
return res.json()["choices"][0]["message"]["content"]
elif provider == "groq":
res = requests.post("https://api.groq.com/openai/v1/chat/completions", headers={"Authorization": f"Bearer {os.getenv('GROQ_API_KEY')}"}, json={"model": actual_model, "messages": [{"role": "user", "content": msg}]})
if res.status_code != 200: return handle_api_error(session_id, provider, res.text)
return res.json()["choices"][0]["message"]["content"]
elif provider == "gemini":
res = requests.post(f"https://generativelanguage.googleapis.com/v1beta/models/{actual_model}:generateContent?key={os.getenv('GEMINI_API_KEY')}", json={"contents": [{"parts": [{"text": msg}]}]})
if res.status_code != 200: return handle_api_error(session_id, provider, res.text)
return res.json()["candidates"][0]["content"]["parts"][0]["text"]
return handle_api_error(session_id, provider, "Fournisseur non implémenté.")
except Exception as e:
return handle_api_error(session_id, provider, str(e))
# --- 4. PIPELINES DE TRAITEMENT ---
def pipeline_minecraft(session_id, raw_msg):
log_event(session_id, "PIPELINE", "Lancement Pipeline 100% Local Minecraft (Qwen -> Phuzzy -> Qwen)")
try:
en_prompt = requests.post("http://localhost:11434/api/generate", json={"model": "qwen2.5-coder:7b", "prompt": f"Translate this Minecraft modding request into technical English. Return ONLY English text.\n\n{raw_msg}", "stream": False}).json()["response"]
phuzzy_res = requests.post("http://localhost:11434/api/generate", json={"model": "phuzzy:latest", "prompt": en_prompt, "stream": False}).json()["response"]
final_fr = requests.post("http://localhost:11434/api/generate", json={"model": "qwen2.5-coder:7b", "prompt": f"Traduis les explications techniques en français. NE TRADUIS PAS le code.\n\n{phuzzy_res}", "stream": False}).json()["response"]
return final_fr, "Qwen ➔ Phuzzy ➔ Qwen"
except Exception as e:
return handle_api_error(session_id, "Ollama Local", str(e)), "Erreur Locale"
async def pipeline_consolidated(session_id, raw_msg):
log_event(session_id, "PIPELINE", "Lancement Pipeline Consolidation Multi-IA")
try:
opt_prompt = requests.post("http://localhost:11434/api/generate", json={"model": "qwen2.5-coder:7b", "prompt": f"Optimise cette demande pour des LLM codeurs. Sois ultra précis.\n\n{raw_msg}", "stream": False}).json()["response"]
rep_groq, rep_gemini = await asyncio.gather(
async_ask_llm(session_id, "groq", "llama3-8b-8192", opt_prompt),
async_ask_llm(session_id, "gemini", "gemini-1.5-flash", opt_prompt)
)
sys_synth = "Tu es un Architecte Logiciel Senior. Voici la même demande traitée par deux IA différentes. Lis leurs propositions, corrige les erreurs potentielles, garde le meilleur des deux, et génère le code final absolu et parfait en français."
final_prompt = f"{sys_synth}\n\n--- IA 1 (Groq) ---\n{rep_groq}\n\n--- IA 2 (Gemini) ---\n{rep_gemini}"
final_res = requests.post("http://localhost:11434/api/generate", json={"model": "qwen2.5-coder:7b", "prompt": final_prompt, "stream": False}).json()["response"]
return final_res, "Qwen ➔ [Groq + Gemini] ➔ Synthèse Qwen"
except Exception as e:
return handle_api_error(session_id, "Pipeline Multi-IA", str(e)), "Erreur Consolidation"
# --- 5. INTERFACE UTILISATEUR & ROUTES ---
theme_hdrs = [
Script(src="https://cdn.tailwindcss.com"),
Script(src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"),
Script(src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.9.0/highlight.min.js"),
Link(rel="stylesheet", href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.9.0/styles/tokyo-night-dark.min.css"),
Style("""
body { background-color: #0f172a; color: #f8fafc; font-family: system-ui, sans-serif; margin: 0;}
.sidebar { background-color: #1e293b; border-right: 1px solid #333; height: 100vh; padding: 20px; display: flex; flex-direction: column;}
.main-content { padding: 20px; height: 100vh; display: flex; flex-direction: column; position: relative;}
.chat-container { flex-grow: 1; overflow-y: auto; margin-bottom: 20px; border: 1px solid #333; padding: 15px; border-radius: 8px; background: #151e2e; }
.input-row { display: flex; gap: 10px; align-items: flex-end; width: 100%; background: #1e293b; padding: 10px; border-radius: 10px; border: 1px solid #333;}
.input-box { flex-grow: 1; padding: 12px; border-radius: 5px; background: #2a2a35; border: 1px solid #444; color: white; outline: none; }
.file-upload-btn { background: #2a2a35; border: 1px solid #444; color: #94a3b8; padding: 12px; border-radius: 5px; cursor: pointer; font-size:14px; display: flex; align-items:center;}
.model-select { padding: 12px; border-radius: 5px; background: #2a2a35; border: 1px solid #444; color: #00e5ff; outline: none; font-weight: bold; cursor: pointer;}
.send-btn { padding: 12px 24px; border-radius: 5px; background: #00e5ff; color: #0f172a; font-weight: bold; cursor: pointer; border: none; }
.msg-user { color: #00e5ff; font-size: 12px; font-weight: bold; margin-bottom: 2px; margin-top: 15px;}
.msg-ia { color: #a855f7; font-size: 12px; font-weight: bold; margin-bottom: 2px; margin-top: 15px;}
.bubble-user { background: #1e293b; padding: 10px; border-radius: 5px; display: inline-block; color: white; border: 1px solid #333;}
.bubble-ia { background: #1e293b; padding: 15px; border-radius: 8px; display: block; color: #e2e8f0; }
.bubble-ia pre { background: #111827; padding: 15px; border-radius: 8px; margin-top: 10px; position: relative; border: 1px solid #333;}
.context-radio-group { display: flex; gap: 15px; background: #1e293b; padding: 10px 15px; border-radius: 8px; border: 1px solid #333; margin-bottom: 10px; width: fit-content; }
.htmx-indicator { display: none; position: absolute; bottom: 120px; left: 50%; transform: translateX(-50%); background: rgba(15, 23, 42, 0.9); border: 1px solid #00e5ff; padding: 15px 30px; border-radius: 50px; color: #00e5ff; font-weight: bold; z-index: 50;}
.htmx-request .htmx-indicator { display: block; }
.history-btn { background: #2a2a35; color: #e2e8f0; border: 1px solid #444; padding: 8px; border-radius: 5px; cursor: pointer; text-align: left; }
.history-btn:hover { background: #38bdf8; color: #0f172a; }
.export-btn { display: block; background: #0f172a; border: 1px solid #00e5ff; color: #00e5ff; font-weight: bold; padding: 10px; border-radius: 5px; text-align: center; cursor: pointer; transition: 0.2s; width: 100%;}
.export-btn:hover { background: #00e5ff; color: #0f172a; }
"""),
Script("""
function updateUI() {
let ctx = document.querySelector('input[name="context_type"]:checked').value;
let modBox = document.getElementById('model-selection-area');
if(ctx === 'minecraft' || ctx === 'consolidated') { modBox.style.display = 'none'; }
else { modBox.style.display = 'flex'; }
}
function updateFileCount(input) {
let label = document.getElementById('file-label-text');
if(input && input.files && input.files.length > 0) {
label.innerText = `📎 ${input.files.length} fichier(s)`;
label.style.color = '#00e5ff';
} else {
label.innerText = '📎 Fichiers';
label.style.color = '#94a3b8';
}
}
async function downloadModels() {
let tracker = document.getElementById('loading-tracker');
let oldText = tracker.innerText;
tracker.style.display = 'block';
tracker.innerText = '⚙️ Extraction et traduction du catalogue (Patientez ~1 min)...';
try {
let res = await fetch('/export_models');
let text = await res.text();
let blob = new Blob([text], {type: 'text/plain'});
let url = window.URL.createObjectURL(blob);
let a = document.createElement('a');
a.href = url;
let d = new Date();
let ds = d.getFullYear() + ("0"+(d.getMonth()+1)).slice(-2) + ("0"+d.getDate()).slice(-2) + "_" + ("0"+d.getHours()).slice(-2) + ("0"+d.getMinutes()).slice(-2);
a.download = 'modeles_ia_' + ds + '.txt';
a.click();
window.URL.revokeObjectURL(url);
} catch(e) {
alert("Erreur lors de l'exportation.");
}
tracker.style.display = 'none';
tracker.innerText = oldText;
}
htmx.onLoad(function(content) {
content.querySelectorAll('.bubble-ia:not(.rendered)').forEach(function(el) {
el.innerHTML = marked.parse(el.textContent);
el.classList.add('rendered');
el.querySelectorAll('pre code').forEach((block) => { hljs.highlightElement(block); });
let chat = document.getElementById('chat-history'); chat.scrollTop = chat.scrollHeight;
});
});
""")
]
app, rt = fast_app(hdrs=theme_hdrs)
@rt('/session/new')
def get():
sid = create_new_session()
new_hidden = Input(type="hidden", name="session_id", value=sid, id="current-session-id", hx_swap_oob="true")
return Div(), new_hidden, render_history_list()
@rt('/session/load/{sid}')
def get(sid: str):
log_event(sid, "USER_ACTION", "Chargement de la session.")
messages = load_session_data(sid)
bubbles = []
for msg in messages:
bubbles.append(Div(
P("Vous", cls="msg-user"), Div(NotStr(f"{msg['user']}{msg.get('info_fichiers', '')}{msg.get('info_local', '')}"), cls="bubble-user"),
P(f"AETHAS38 ({msg.get('nom_affichage', 'IA')})", cls="msg-ia"), Div(msg['ia'], cls="bubble-ia")
))
new_hidden = Input(type="hidden", name="session_id", value=sid, id="current-session-id", hx_swap_oob="true")
return tuple(bubbles) + (new_hidden,)
@rt('/history/pin/{sid}')
def post_pin(sid: str):
idx = load_index()
if sid in idx:
idx[sid]['pinned'] = not idx[sid].get('pinned', False)
save_index(idx)
log_event(sid, "USER_ACTION", "Épinglage modifié.")
return render_history_list()
@rt('/history/rename/{sid}')
def post_rename(sid: str, title: str):
idx = load_index()
if sid in idx:
idx[sid]['title'] = title
save_index(idx)
log_event(sid, "USER_ACTION", f"Renommé en: {title}")
return render_history_list()
@rt('/history/delete/{sid}')
def post_delete(sid: str):
idx = load_index()
if sid in idx:
del idx[sid]
save_index(idx)
if os.path.exists(f"sessions/{sid}.json"): os.remove(f"sessions/{sid}.json")
log_event(sid, "USER_ACTION", "Session supprimée définitivement.")
return render_history_list()
@rt('/export_models')
def get(session):
if not session.get("authenticated"): return RedirectResponse('/login')
log_event("system", "SYSTEM", "Demande d'exportation du catalogue de modèles.")
now = datetime.now()
txt_content = f"=== CATALOGUE COMPLET DES MODÈLES (Généré le {now.strftime('%d/%m/%Y à %H:%M:%S')}) ===\n\n"
google_banned = False # Sécurité pour ne pas figer si Google bloque l'IP
for m in MODELS_DATA:
name = m.get('name', 'Inconnu')
m_id = m.get('id', 'Inconnu')
usage = "Général / Texte"
arch_mod = str(m.get('architecture', {}).get('modality', '')).lower()
m_id_lower = m_id.lower()
if "vision" in arch_mod or "vision" in m_id_lower or "vl" in m_id_lower or "image" in arch_mod:
usage = "Vision (Analyse d'images & Multimodal)"
elif "coder" in m_id_lower or "code" in m_id_lower or "math" in m_id_lower:
usage = "Codage & Mathématiques"
elif "video" in m_id_lower:
usage = "Vidéo"
elif "rp" in m_id_lower or "uncensored" in m_id_lower or "roleplay" in m_id_lower:
usage = "Non-censuré / Roleplay"
is_free = m.get("is_free")
if is_free is None:
pricing = m.get('pricing', {})
p_prompt = float(pricing.get('prompt', -1))
p_comp = float(pricing.get('completion', -1))
cout = "Gratuit" if p_prompt == 0.0 and p_comp == 0.0 else f"Payant (In: {p_prompt}, Out: {p_comp})"
else:
cout = "Gratuit" if is_free else "Payant"
desc_courte = str(m.get('description', '')).replace('\n', ' ')[:150]
desc_fr = desc_courte
if "openrouter" in m_id and desc_courte:
if not google_banned:
try:
url = "https://translate.googleapis.com/translate_a/single?client=gtx&sl=en&tl=fr&dt=t&q=" + requests.utils.quote(desc_courte)
trans_res = requests.get(url, timeout=1.5)
if trans_res.status_code == 200:
desc_fr = "".join([x[0] for x in trans_res.json()[0]])
else:
google_banned = True
desc_fr += " [Traduction interrompue: Sécurité anti-spam]"
except:
google_banned = True
desc_fr += " [Traduction interrompue: Délai d'attente]"
else:
desc_fr = desc_courte
if not desc_fr: desc_fr = "Aucune description fournie."
# SÉCURITÉ DOCKER : Découpage propre de la chaîne pour éviter le crash f-string
txt_content += (
f"Nom : {name}\n"
f"ID : {m_id}\n"
f"Tarif : {cout}\n"
f"Spécialité : {usage}\n"
f"Description : {desc_fr}\n"
f"{'-'*60}\n"
)
# Forcer le téléchargement du fichier TXT
filename = f"modeles_ia_{datetime.now().strftime('%Y%m%d_%H%M')}.txt"
return Response(txt_content, media_type="text/plain", headers={"Content-Disposition": f"attachment; filename={filename}"})
@rt('/')
def get():
session_id = create_new_session()
return Title("AETHAS38 Multi-IA"), Body(
Div(
Div(
H2("AETHAS 38", style="color:#00e5ff; font-weight:bold; font-size:24px;"),
P("Tech Core - Multi IA", style="color:#a855f7; margin-bottom: 20px;"),
Div(
H3("Historique de Code", style="color:#94a3b8; font-size:12px; font-weight:bold; margin-bottom:10px;"),
render_history_list(),
style="display:flex; flex-direction:column; flex-grow:1; margin-bottom: 10px; overflow:hidden;"
),
# Le bouton fait désormais appel à la fonction JavaScript de téléchargement
Button("📥 Exporter Modèles (.txt)", type="button", cls="export-btn w-full mt-2", onclick="downloadModels()"),
Div(
P("BUDGET OPENROUTER", style="color:#94a3b8; font-size:10px; font-weight:bold; margin-bottom:5px;"),
P(get_budget(), id="budget-display", style="color:#10b981; font-size:18px; font-weight:bold;"),
cls="budget-box", style="margin-top:15px;"
),
cls="sidebar"
),
Div(
Div(id="chat-history", cls="chat-container"),
Div("⚙️ Traitement de l'Architecture IA en cours...", id="loading-tracker", cls="htmx-indicator"),
Form(
Input(type="hidden", name="session_id", value=session_id, id="current-session-id"),
Div(
Label(Input(type="radio", name="context_type", value="generic", checked=True, onchange="updateUI()"), " 💻 Code Générique (Modèle Unique)"),
Label(Input(type="radio", name="context_type", value="consolidated", onchange="updateUI()"), " 🧠 Consolidation (Multi-IA ➔ Qwen)"),
Label(Input(type="radio", name="context_type", value="minecraft", onchange="updateUI()"), " ⛏ Minecraft (100% Local)"),
cls="context-radio-group text-sm text-white flex gap-4"
),
Div(
Select(Option("Tous les modèles", value="all"), Option("Gratuits", value="free"), Option("Payants", value="paid"), name="filter_type", cls="model-select", hx_get="/filter_models", hx_target="#model-select-wrapper", style="width: 250px;"),
Div(get_model_options("all"), id="model-select-wrapper", style="flex-grow: 1;"),
cls="flex gap-2 mb-2 w-full", id="model-selection-area"
),
Div(
Input(type="file", name="fichiers", id="file-upload", multiple=True, style="display:none;", onchange="updateFileCount(this)"),
Label(Span("📎 Fichiers", id="file-label-text"), _for="file-upload", cls="file-upload-btn"),
Input(type="text", name="msg", placeholder="Insérez votre requête...", cls="input-box", required=True),
Button("Envoyer", type="submit", cls="send-btn"),
cls="input-row"
),
hx_post="/chat", hx_target="#chat-history", hx_swap="beforeend", hx_indicator="#loading-tracker", enctype="multipart/form-data",
**{"hx-on:htmx:afterRequest": "if(event.detail.successful) { this.reset(); updateFileCount(document.getElementById('file-upload')); }"}
),
cls="main-content"
),
style="display: grid; grid-template-columns: 250px 1fr;"
)
)
@rt('/filter_models')
def get(filter_type: str): return get_model_options(filter_type)
@rt('/chat')
async def post(msg: str, model_id: str, session_id: str, context_type: str = "generic", fichiers: list[UploadFile] = None):
log_event(session_id, "USER_ACTION", f"Envoi d'un message (Contexte: {context_type})")
files_context = ""
noms_fichiers = []
if fichiers:
for f in fichiers:
if f.filename:
noms_fichiers.append(f.filename)
try: files_context += f"\n--- {f.filename} ---\n{(await f.read()).decode('utf-8')}\n"
except:
files_context += f"\n--- {f.filename} (Binaire ignoré) ---\n"
log_event(session_id, "FILE_SYS", f"Fichier non lisible ignoré : {f.filename}")
if noms_fichiers: log_event(session_id, "FILE_SYS", f"Fichiers joints : {', '.join(noms_fichiers)}")
full_req = f"Fichiers fournis:\n{files_context}\nDemande: {msg}" if files_context else msg
if context_type == "minecraft":
ia_reponse, pipeline_info = pipeline_minecraft(session_id, full_req)
nom_affichage = "Local - Phuzzy/Minecraft"
elif context_type == "consolidated":
ia_reponse, pipeline_info = await pipeline_consolidated(session_id, full_req)
nom_affichage = "Qwen Synthèse (via Groq/Gemini)"
else:
opt_prompt = requests.post("http://localhost:11434/api/generate", json={"model": "qwen2.5-coder:7b", "prompt": f"Optimise cette demande pour un LLM codeur. Retourne UNIQUEMENT le prompt.\n\n{full_req}", "stream": False}).json()["response"]
parts = model_id.split("|", 1)
provider, actual_model = parts[0], parts[1] if len(parts) > 1 else model_id
ia_reponse = ask_llm(session_id, provider, actual_model, opt_prompt)
nom_affichage = f"{provider.capitalize()} - {actual_model.split('/')[-1]}"
pipeline_info = "Qwen ➔ API Distante Unique"
info_fichiers = f"<br><span style='color:#a855f7; font-size:10px;'>📎 {len(noms_fichiers)} fichier(s) joint(s)</span>" if noms_fichiers else ""
info_local = f"<br><span style='color:#38bdf8; font-size:10px;'>⚙️ Pipeline : {pipeline_info}</span>"
session_data = load_session_data(session_id)
session_data.append({
"user": msg,
"ia": ia_reponse,
"nom_affichage": nom_affichage,
"info_fichiers": info_fichiers,
"info_local": info_local
})
save_session_data(session_id, session_data)
log_event(session_id, "SYSTEM", "Réponse sauvegardée avec succès.")
chat_bubble = Div(
P("Vous", cls="msg-user"), Div(NotStr(f"{msg}{info_fichiers}{info_local}"), cls="bubble-user"),
P(f"AETHAS38 ({nom_affichage})", cls="msg-ia"), Div(ia_reponse, cls="bubble-ia")
)
updated_budget = P(get_budget(), id="budget-display", style="color:#10b981; font-size:18px; font-weight:bold;", hx_swap_oob="true")
return chat_bubble, updated_budget
if __name__ == '__main__':
serve(port=5001)
requirements.txt
-12
View File
@@ -1,12 +0,0 @@
python-fasthtml
requests
python-dotenv
pyotp
qrcode
psutil
openpyxl
fastapi
uvicorn
pydantic
python-dotenv
httpx