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MAJ MAIN.PY Version 1.0

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xavier committed 2026-10-05 09:16:58 +02:00
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main.py
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@@ -1,66 +1,59 @@
from fasthtml.common import *
import os
import requests
import base64
from dotenv import load_dotenv
load_dotenv()
# --- 1. GESTION DES MODELES (Mise en cache au démarrage) ---
# --- 1. GESTION DU CATALOGUE (Identique) ---
MODELS_DATA = []
def init_models():
"""Télécharge la liste complète au lancement du serveur et la stocke en mémoire."""
global MODELS_DATA
MODELS_DATA = [
{"id": "groq|llama3-8b-8192", "name": "Groq - Llama 3 (8B)", "is_free": True},
{"id": "groq|llama3-70b-8192", "name": "Groq - Llama 3 (70B)", "is_free": True},
{"id": "groq|mixtral-8x7b-32768", "name": "Groq - Mixtral 8x7B", "is_free": True},
{"id": "gemini|gemini-1.5-flash", "name": "Google - Gemini 1.5 Flash", "is_free": True},
{"id": "gemini|gemini-1.5-pro", "name": "Google - Gemini 1.5 Pro", "is_free": False},
{"id": "deepseek|deepseek-chat", "name": "DeepSeek - V3", "is_free": False},
{"id": "deepseek|deepseek-coder", "name": "DeepSeek - Coder", "is_free": False},
{"id": "mistral|open-mistral-nemo", "name": "Mistral - Nemo", "is_free": True},
]
try:
res = requests.get("https://openrouter.ai/api/v1/models", timeout=5)
if res.status_code == 200:
MODELS_DATA = res.json().get("data", [])
except:
pass
if not MODELS_DATA: # Sécurité si le réseau coupe au démarrage
MODELS_DATA = [
{"id": "meta-llama/llama-3.1-8b-instruct:free", "name": "Llama 3.1 8B", "pricing": {"prompt": "0", "completion": "0"}},
{"id": "anthropic/claude-3.5-sonnet", "name": "Claude 3.5 Sonnet", "pricing": {"prompt": "1", "completion": "1"}}
]
for m in res.json().get("data", []):
m["id"] = f"openrouter|{m['id']}"
m["name"] = f"OR - {m['name']}"
MODELS_DATA.append(m)
except: pass
init_models()
def check_if_free(model):
"""Vérifie si le modèle est gratuit en analysant ses tarifs OpenRouter."""
if "free" in model.get("id", "").lower():
return True
if "is_free" in model: return model["is_free"]
if "free" in model.get("id", "").lower(): return True
try:
pricing = model.get("pricing", {})
prompt = float(pricing.get("prompt", -1))
completion = float(pricing.get("completion", -1))
# Si le prix de lecture et d'écriture est à 0, c'est 100% gratuit
if prompt == 0.0 and completion == 0.0:
return True
except:
pass
if float(pricing.get("prompt", -1)) == 0.0 and float(pricing.get("completion", -1)) == 0.0: return True
except: pass
return False
def get_model_options(filter_type="all"):
"""Génère la liste déroulante des modèles avec leur étiquette, selon le filtre."""
options = []
for m in sorted(MODELS_DATA, key=lambda x: x['name']):
is_free = check_if_free(m)
# Application du filtre (Tous / Gratuits / Payants)
if filter_type == "free" and not is_free: continue
if filter_type == "paid" and is_free: continue
# Ajout de l'étiquette
tag = "Gratuit" if is_free else "Payant"
label = f"{m['name']} ({tag})"
options.append(Option(label, value=m['id']))
options.append(Option(f"{m['name']} ({tag})", value=m['id']))
return Select(*options, name="model_id", cls="model-select", style="width: 100%;")
# --- 2. GESTION DU BUDGET ---
# --- 2. MOTEUR D'INTELLIGENCE & FICHIERS ---
def get_budget():
mgmt_key = os.getenv("OPENROUTER_MANAGEMENT_KEY")
if not mgmt_key: return "Clé manquante"
@@ -69,29 +62,146 @@ def get_budget():
if res.status_code == 200:
data = res.json().get("data", {})
return f"{data.get('total_credits', 0) - data.get('total_usage', 0):.4f} $"
except:
pass
except: pass
return "Erreur lecture"
def optimize_prompt_with_ollama(raw_msg, files_context):
"""Envoie la requête brute à Qwen2.5 local pour générer un prompt expert parfait."""
system_prompt = "Tu es un expert en ingénierie logicielle. Reformule la demande de l'utilisateur pour la rendre parfaite, technique et explicite pour un LLM codeur. Retourne UNIQUEMENT le prompt optimisé, sans bavardage."
full_request = f"Fichiers fournis : {files_context}\n\nDemande utilisateur : {raw_msg}" if files_context else raw_msg
try:
res = requests.post("http://localhost:11434/api/generate", json={
"model": "qwen2.5-coder:7b",
"prompt": f"{system_prompt}\n\n{full_request}",
"stream": False
}, timeout=30)
if res.status_code == 200:
return res.json()["response"]
except Exception as e:
print(f"Erreur Ollama : {e}")
return full_request # Fallback sur le prompt brut si Ollama est éteint
return full_request
def ask_llm(provider, model, msg):
"""Aiguille vers les API distantes."""
try:
if provider == "openrouter":
key = os.getenv("OPENROUTER_API_KEY")
res = requests.post("https://openrouter.ai/api/v1/chat/completions",
headers={"Authorization": f"Bearer {key}", "Content-Type": "application/json"},
json={"model": model, "messages": [{"role": "user", "content": msg}]})
return res.json()["choices"][0]["message"]["content"]
elif provider == "groq":
key = os.getenv("GROQ_API_KEY")
res = requests.post("https://api.groq.com/openai/v1/chat/completions",
headers={"Authorization": f"Bearer {key}", "Content-Type": "application/json"},
json={"model": model, "messages": [{"role": "user", "content": msg}]})
return res.json()["choices"][0]["message"]["content"]
elif provider == "gemini":
key = os.getenv("GEMINI_API_KEY")
url = f"https://generativelanguage.googleapis.com/v1beta/models/{model}:generateContent?key={key}"
res = requests.post(url, headers={"Content-Type": "application/json"},
json={"contents": [{"parts": [{"text": msg}]}]})
return res.json()["candidates"][0]["content"]["parts"][0]["text"]
elif provider == "deepseek":
key = os.getenv("DEEPSEEK_API_KEY")
res = requests.post("https://api.deepseek.com/chat/completions",
headers={"Authorization": f"Bearer {key}", "Content-Type": "application/json"},
json={"model": model, "messages": [{"role": "user", "content": msg}]})
return res.json()["choices"][0]["message"]["content"]
elif provider == "mistral":
key = os.getenv("MISTRAL_API_KEY")
res = requests.post("https://api.mistral.ai/v1/chat/completions",
headers={"Authorization": f"Bearer {key}", "Content-Type": "application/json"},
json={"model": model, "messages": [{"role": "user", "content": msg}]})
return res.json()["choices"][0]["message"]["content"]
return f"Fournisseur API non reconnu : {provider}"
except Exception as e:
return f"Erreur API ({provider}) : {str(e)}"
# --- 3. INTERFACE UTILISATEUR & SERVEUR WEB ---
# --- 3. INTERFACE UTILISATEUR (UI) ---
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; }
.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; }
.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%; }
.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; transition: 0.2s;}
.file-upload-btn:hover { background: #38bdf8; color: #0f172a; }
.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; transition: 0.2s; }
.send-btn:hover { background: #38bdf8; }
.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; }
.bubble-ia { background: #2a2a35; padding: 10px; border-radius: 5px; display: inline-block; color: #e2e8f0; border-left: 3px solid #a855f7; white-space: pre-wrap; }
.budget-box { background: #151e2e; padding: 15px; border-radius: 8px; border: 1px solid #333; margin-top: auto; }
.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; box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1); }
/* Outils Code (Inspiration Gemini) */
.bubble-ia pre { background: #111827; padding: 15px; border-radius: 8px; margin-top: 10px; position: relative; border: 1px solid #333;}
.code-toolbar { display: flex; justify-content: flex-end; gap: 10px; background: #1f2937; padding: 5px 10px; border-radius: 8px 8px 0 0; border-bottom: 1px solid #333; margin: -15px -15px 10px -15px;}
.code-btn { background: none; border: none; color: #94a3b8; font-size: 12px; cursor: pointer; display: flex; align-items: center; gap: 5px;}
.code-btn:hover { color: #00e5ff; }
/* Fenêtre de progression (HTMX) */
.htmx-indicator { display: none; position: absolute; bottom: 100px; 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; box-shadow: 0 0 20px rgba(0, 229, 255, 0.2); backdrop-filter: blur(5px);}
.htmx-request .htmx-indicator { display: block; }
"""),
Script("""
htmx.onLoad(function(content) {
content.querySelectorAll('.bubble-ia:not(.rendered)').forEach(function(el) {
el.innerHTML = marked.parse(el.textContent);
el.classList.add('rendered');
// Injection des outils de code (Copier / Télécharger)
el.querySelectorAll('pre code').forEach((block) => {
hljs.highlightElement(block);
let pre = block.parentElement;
let toolbar = document.createElement('div');
toolbar.className = 'code-toolbar';
// Bouton Copier
let copyBtn = document.createElement('button');
copyBtn.className = 'code-btn';
copyBtn.innerHTML = '📋 Copier';
copyBtn.onclick = () => { navigator.clipboard.writeText(block.innerText); copyBtn.innerHTML = '✅ Copié!'; setTimeout(()=> copyBtn.innerHTML = '📋 Copier', 2000); };
// Bouton Télécharger
let dlBtn = document.createElement('button');
dlBtn.className = 'code-btn';
dlBtn.innerHTML = '💾 .txt';
dlBtn.onclick = () => {
let blob = new Blob([block.innerText], {type: 'text/plain'});
let a = document.createElement('a');
a.href = URL.createObjectURL(blob);
a.download = 'code_aethas38.txt';
a.click();
};
toolbar.appendChild(copyBtn);
toolbar.appendChild(dlBtn);
pre.insertBefore(toolbar, block);
});
let chat = document.getElementById('chat-history');
chat.scrollTop = chat.scrollHeight;
});
});
""")
]
@@ -104,7 +214,6 @@ def get():
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(
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;"),
@@ -114,32 +223,29 @@ def get():
),
Div(
Div(id="chat-history", cls="chat-container"),
# Fenêtre de progression qui s'affiche pendant le traitement HTMX
Div("⚙️ Traitement de la requête en cours (Qwen + LLM)...", id="loading-tracker", cls="htmx-indicator"),
Form(
# Ligne 1 : Filtre et Liste dynamique des modèles
Div(
Select(
Option("Tous les modèles", value="all"),
Option("Gratuits uniquement", value="free"),
Option("Payants uniquement", value="paid"),
name="filter_type",
cls="model-select",
hx_get="/filter_models", # Demande la mise à jour à HTMX...
hx_target="#model-select-wrapper", # ...pour l'injecter dans cet élément
hx_swap="innerHTML",
style="width: 250px;"
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"
),
# Ligne 2 : Saisie texte et Bouton d'envoi
Div(
Input(type="text", name="msg", placeholder="Demandez moi de coder quelque chose...", cls="input-box", required=True),
# Bouton d'upload de fichiers multiples
Input(type="file", name="fichiers", id="file-upload", multiple=True, style="display:none;"),
Label("📎 Fichiers", _for="file-upload", cls="file-upload-btn"),
Input(type="text", name="msg", placeholder="Instructions pour le code...", 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_post="/chat", hx_target="#chat-history", hx_swap="beforeend", hx_indicator="#loading-tracker", enctype="multipart/form-data"
),
cls="main-content"
),
@@ -147,47 +253,47 @@ def get():
)
)
# --- 4. ROUTES DYNAMIQUES (HTMX) ---
@rt('/filter_models')
def get(filter_type: str):
"""Route appelée automatiquement quand on change le filtre (Gratuit/Payant)"""
return get_model_options(filter_type)
def get(filter_type: str): return get_model_options(filter_type)
@rt('/chat')
def post(msg: str, model_id: str):
api_key = os.getenv("OPENROUTER_API_KEY")
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
payload = {
"model": model_id,
"messages": [{"role": "user", "content": msg}]
}
async def post(msg: str, model_id: str, fichiers: list[UploadFile] = None):
# 1. Traitement des fichiers (Extraction de texte pour les formats lisibles)
files_context = ""
noms_fichiers = []
if fichiers:
for f in fichiers:
if f.filename:
noms_fichiers.append(f.filename)
content = await f.read()
try:
response = requests.post("https://openrouter.ai/api/v1/chat/completions", headers=headers, json=payload)
if response.status_code == 200:
ia_reponse = response.json()["choices"][0]["message"]["content"]
else:
ia_reponse = f"Erreur API ({response.status_code}) : {response.text}"
except Exception as e:
ia_reponse = f"Erreur réseau : {e}"
# Tente de lire comme du texte (code, txt, csv, md)
text_content = content.decode('utf-8')
files_context += f"--- Fichier: {f.filename} ---\n{text_content}\n\n"
except:
files_context += f"--- Fichier binaire non lisible: {f.filename} ---\n\n"
nom_modele = model_id.split('/')[-1]
# 2. Pipeline Optimisation (Ollama Qwen2.5) -> LLM Distant
optimized_prompt = optimize_prompt_with_ollama(msg, files_context)
parts = model_id.split("|", 1)
provider, actual_model = parts[0], parts[1] if len(parts) > 1 else model_id
# Exécution finale
ia_reponse = ask_llm(provider, actual_model, optimized_prompt)
nom_affichage = f"{provider.capitalize()} - {actual_model.split('/')[-1]}"
# Affichage utilisateur enrichi
info_fichiers = f"<br><span style='color:#a855f7; font-size:10px;'>📎 Fichiers joints : {', '.join(noms_fichiers)}</span>" if noms_fichiers else ""
info_qwen = "<br><span style='color:#38bdf8; font-size:10px;'>⚙️ Prompt optimisé par Ollama (Qwen2.5)</span>"
# 1. On prépare la bulle de chat
chat_bubble = Div(
P("Vous", cls="msg-user"),
Div(msg, cls="bubble-user"),
P(f"AETHAS38 ({nom_modele})", cls="msg-ia"),
Div(NotStr(f"{msg}{info_fichiers}{info_qwen}"), cls="bubble-user"),
P(f"AETHAS38 ({nom_affichage})", cls="msg-ia"),
Div(ia_reponse, cls="bubble-ia")
)
# 2. On recalcule le budget financier et on lui ordonne de s'actualiser avec hx_swap_oob
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