feat maj fonctionnement

backend/main.py

@@ -3,15 +3,15 @@ from fastapi.responses import RedirectResponse, FileResponse
 from fastapi.staticfiles import StaticFiles
 from sqlalchemy.orm import Session
 from typing import List
-import os, json, asyncio, shutil
+import os, json, asyncio, shutil, base64, io, csv, zipfile
 from datetime import datetime
 import pytz
 
 from .database import engine, Base, get_db, SessionLocal
 from .auth import get_password_hash, generate_totp_secret, get_totp_uri, verify_password, verify_totp, create_access_token, verify_token
-from .schemas import AdminCreate, LoginRequest, ProjectCreate, ProjectResponse, ProjectRename, MessageCreate, MessageResponse, PasswordChange
+from .schemas import AdminCreate, LoginRequest, ProjectCreate, ProjectResponse, ProjectRename, MessageCreate, MessageResponse, PasswordChange, ModelReplacementRequest, LogRequest
 from .models import User, Project, Message, SystemSettings, AIModel, FinancialLog
-from .orchestrator import run_orchestrator, sync_providers_models, sync_finances
+from .orchestrator import run_orchestrator, sync_providers_models, sync_finances, activity_logs, log_activity
 
 Base.metadata.create_all(bind=engine)
 app = FastAPI(title="AETHAS38")
@@ -73,7 +73,7 @@ def login(login_data: LoginRequest, response: Response, db: Session = Depends(ge
     user = db.query(User).filter(User.username == login_data.username).first()
     if not user or not verify_password(login_data.password, user.hashed_password): raise HTTPException(status_code=401, detail="Identifiants incorrects.")
     if not verify_totp(user.totp_secret, login_data.totp_code): raise HTTPException(status_code=401, detail="2FA invalide.")
-    response.set_cookie(key="session_token", value=create_access_token(data={"sub": user.username}), httponly=True, max_age=3600, samesite="lax")
+    response.set_cookie(key="session_token", value=create_access_token(data={"sub": user.username}), httponly=True, max_age=604800, samesite="lax")
     return {"message": "Connexion réussie"}
 
 @app.get("/dashboard")
@@ -82,6 +82,52 @@ def dashboard(request: Request):
     if not token or not verify_token(token): return RedirectResponse(url="/login")
     return FileResponse(os.path.join(os.getcwd(), "frontend", "dashboard.html"))
 
+@app.get("/api/logs")
+def get_logs():
+    return {"logs": activity_logs}
+
+@app.post("/api/logs")
+def add_frontend_log(req: LogRequest):
+    log_activity(f"[Système UI] {req.message}")
+    return {"status": "ok"}
+
+@app.post("/api/models/suggest_replacement")
+async def suggest_replacement(req: ModelReplacementRequest, db: Session = Depends(get_db)):
+    log_activity(f"⚠️ Modèle indisponible: {req.missing_model}. Demande de suggestion à Gemini...")
+    settings = db.query(SystemSettings).first()
+    if not settings or not settings.gemini_api_key:
+        log_activity("Clé Gemini non trouvée. Fallback forcé sur gemini-3.5-flash-lite.")
+        return {"suggestion": "gemini-3.5-flash-lite", "reason": "Clé API Gemini non configurée dans le système."}
+
+    models = db.query(AIModel).all()
+    available = [m.model_id for m in models]
+    
+    prompt = f"Le modèle IA '{req.missing_model}' n'est plus disponible. Voici les modèles disponibles : {', '.join(available)}. Trouve le modèle le plus proche techniquement. Réponds UNIQUEMENT avec ce format strict : ID_DU_MODELE | Brève explication en français de 10 mots max. Si aucun ne correspond, renvoie gemini-3.5-flash-lite | Par défaut."
+    
+    try:
+        from openai import AsyncOpenAI
+        client = AsyncOpenAI(base_url="https://generativelanguage.googleapis.com/v1beta/openai/", api_key=settings.gemini_api_key)
+        resp = await client.chat.completions.create(model="gemini-3.5-flash-lite", messages=[{"role": "user", "content": prompt}], max_tokens=50)
+        res = resp.choices[0].message.content.strip()
+        
+        if "|" in res:
+            parts = res.split("|")
+            sugg = parts[0].strip()
+            reason = parts[1].strip()
+        else:
+            sugg = res.strip()
+            reason = "Sélectionné par Gemini."
+            
+        if sugg not in available and sugg != "gemini-3.5-flash-lite":
+            sugg = "gemini-3.5-flash-lite"
+            reason = "Gemini a suggéré un modèle invalide. Fallback par défaut."
+
+        log_activity(f"✅ Remplacement trouvé : {req.missing_model} -> {sugg}")
+        return {"suggestion": sugg, "reason": reason}
+    except Exception as e:
+        log_activity(f"Erreur d'interrogation Gemini: {str(e)}. Fallback par défaut.")
+        return {"suggestion": "gemini-3.5-flash-lite", "reason": f"Erreur API."}
+
 @app.get("/api/users/me")
 def get_me(current_user: User = Depends(get_current_user)):
     return {"username": current_user.username, "is_admin": current_user.is_admin, "is_superadmin": current_user.is_superadmin, "avatar_path": current_user.avatar_path}
@@ -143,14 +189,79 @@ def get_messages(project_id: int, db: Session = Depends(get_db), current_user: U
 
 @app.post("/api/projects/{project_id}/messages", response_model=List[MessageResponse])
 async def create_message(project_id: int, message: MessageCreate, db: Session = Depends(get_db), current_user: User = Depends(get_current_user)):
-    db.add(Message(role=message.role, content=message.content, project_id=project_id)); db.commit()
+    extracted_files_data = []
+    files_names = []
+    
+    if message.files:
+        for f in message.files:
+            files_names.append(f.name)
+            content = f.content
+            if content.startswith("data:"):
+                try:
+                    header, b64data = content.split(",", 1)
+                    file_bytes = base64.b64decode(b64data)
+                    ext = f.name.split('.')[-1].lower()
+                    extracted_text = ""
+
+                    if ext == 'pdf':
+                        try:
+                            import PyPDF2
+                            reader = PyPDF2.PdfReader(io.BytesIO(file_bytes))
+                            extracted_text = "\n".join([page.extract_text() for page in reader.pages if page.extract_text()])
+                        except ImportError:
+                            extracted_text = "[Erreur: L'administrateur doit exécuter 'pip install PyPDF2' sur le serveur pour lire les PDF.]"
+                    
+                    elif ext in ['xls', 'xlsx', 'xlsm', 'xlsb']:
+                        try:
+                            import openpyxl
+                            wb = openpyxl.load_workbook(io.BytesIO(file_bytes), data_only=False)
+                            for sheet_name in wb.sheetnames:
+                                sheet = wb[sheet_name]
+                                extracted_text += f"\n--- Feuille : {sheet_name} ---\n"
+                                for row in sheet.iter_rows(values_only=True):
+                                    row_vals = [str(cell) if cell is not None else "" for cell in row]
+                                    if any(row_vals):
+                                        extracted_text += "\t".join(row_vals) + "\n"
+                            
+                            if ext in ['xlsm', 'xlsb', 'xls']:
+                                try:
+                                    from oletools.olevba import VBA_Parser
+                                    vbaparser = VBA_Parser("filename", data=file_bytes)
+                                    if vbaparser.detect_vba_macros():
+                                        extracted_text += "\n\n--- MACROS VBA DETECTEES ---\n"
+                                        for (filename, stream_path, vba_filename, vba_code) in vbaparser.extract_macros():
+                                            extracted_text += f"\n// Module: {vba_filename}\n{vba_code}\n"
+                                except ImportError:
+                                    extracted_text += "\n[Extraction VBA impossible: L'administrateur doit exécuter 'pip install oletools' sur le serveur.]\n"
+                                except Exception as e:
+                                    extracted_text += f"\n[Erreur de lecture VBA interne: {str(e)}]\n"
+
+                        except ImportError:
+                            extracted_text = "[Erreur: L'administrateur doit exécuter 'pip install openpyxl' sur le serveur pour lire Excel.]"
+                    else:
+                        extracted_text = file_bytes.decode('utf-8', errors='replace')
+                    
+                    extracted_files_data.append({"name": f.name, "content": extracted_text})
+                except Exception as e:
+                    extracted_files_data.append({"name": f.name, "content": f"[ERREUR DE DECODAGE: {str(e)}]"})
+            else:
+                extracted_files_data.append({"name": f.name, "content": content})
+
+    db_content = message.content
+    if files_names:
+        db_content += f"\n\n[Fichiers joints pour analyse : {', '.join(files_names)}]"
+
+    db.add(Message(role=message.role, content=db_content, project_id=project_id))
+    db.commit()
+    
     history = db.query(Message).filter(Message.project_id == project_id).order_by(Message.created_at.asc()).all()
     settings = db.query(SystemSettings).first()
     conf = message.config.dict() if message.config else {"workers": ["gemini-3.5-flash-lite"]} 
     
-    ai_resp = await run_orchestrator(db, history, settings, conf) # Transmission de DB
+    ai_resp = await run_orchestrator(db, history, settings, conf, extracted_files_data)
     
-    db.add(Message(role="assistant", content=ai_resp, project_id=project_id)); db.commit()
+    db.add(Message(role="assistant", content=ai_resp, project_id=project_id))
+    db.commit()
     return db.query(Message).filter(Message.project_id == project_id).order_by(Message.created_at.asc()).all()
 
 # --- ROUTES MODÈLES & FINANCES ---
@@ -177,6 +288,37 @@ async def trigger_model_sync(db: Session = Depends(get_db), current_user: User =
 @app.get("/api/models/export")
 def export_models(db: Session = Depends(get_db), current_user: User = Depends(get_current_user)):
     if not current_user.is_admin: raise HTTPException(status_code=403, detail="Accès admin requis.")
-    models = db.query(AIModel).all()
+    models = db.query(AIModel).order_by(AIModel.provider.asc(), AIModel.name.asc()).all()
-    data = [{"provider": m.provider, "model_id": m.model_id, "name": m.name, "description_fr": m.description_fr, "domain": m.domain, "is_free": m.is_free, "context_length": m.context_length, "pricing_prompt": m.pricing_prompt, "pricing_completion": m.pricing_completion} for m in models]
+
-    return Response(content=json.dumps(data), media_type="application/json", headers={"Content-Disposition": "attachment; filename=aethas38_models.json"})
+    csv_io = io.StringIO()
+    writer = csv.writer(csv_io, delimiter=',')
+    writer.writerow(["Provider", "Model ID", "Name", "Domain", "Is Free", "Context Length", "Pricing Prompt", "Pricing Completion", "Description"])
+    for m in models:
+        writer.writerow([m.provider, m.model_id, m.name, m.domain, m.is_free, m.context_length, m.pricing_prompt, m.pricing_completion, m.description_fr])
+    
+    md_content = f"# Extraction des Modèles IA - AETHAS38\n\n**Date d'extraction :** {datetime.now().strftime('%d/%m/%Y à %H:%M:%S')}\n\n"
+    providers = sorted(list(set(m.provider for m in models)))
+    for prov in providers:
+        md_content += f"## Fournisseur : {prov.upper()}\n\n"
+        prov_models = [m for m in models if m.provider == prov]
+        for m in prov_models:
+            price_info = "**GRATUIT**" if m.is_free else f"In: ${m.pricing_prompt:.2f} / Out: ${m.pricing_completion:.2f}"
+            ctx_info = f"{int(m.context_length/1000)}k"
+            desc = m.description_fr.replace('\n', ' ') if m.description_fr else ""
+            md_content += f"- **{m.name or m.model_id}** (`{m.model_id}`)\n"
+            md_content += f"  - *Domaine :* {m.domain}\n"
+            md_content += f"  - *Prix (1M tokens) :* {price_info}\n"
+            md_content += f"  - *Contexte :* {ctx_info}\n"
+            md_content += f"  - *Description :* {desc}\n\n"
+
+    zip_io = io.BytesIO()
+    with zipfile.ZipFile(zip_io, mode='w', compression=zipfile.ZIP_DEFLATED) as zf:
+        zf.writestr("models_export.csv", csv_io.getvalue().encode('utf-8'))
+        zf.writestr(f"{datetime.now().strftime('%Y%m%d')}-extraction-modeles.md", md_content.encode('utf-8'))
+
+    zip_io.seek(0)
+    return Response(
+        content=zip_io.getvalue(), 
+        media_type="application/zip", 
+        headers={"Content-Disposition": f"attachment; filename=aethas38_models_{datetime.now().strftime('%Y%m%d')}.zip"}
+    )

backend/orchestrator.py

@@ -1,5 +1,6 @@
 import asyncio
 import httpx
+import urllib.parse
 from openai import AsyncOpenAI
 from fastapi import HTTPException
 from sqlalchemy.orm import Session
@@ -7,6 +8,16 @@ from sqlalchemy.exc import IntegrityError
 from .models import SystemSettings, AIModel, FinancialLog
 from datetime import datetime, timezone
 
+# --- LOGGER GLOBAL POUR LE TERMINAL ---
+activity_logs = []
+
+def log_activity(msg: str):
+    ts = datetime.now(timezone.utc).strftime('%H:%M:%S')
+    activity_logs.append(f"[{ts}] {msg}")
+    if len(activity_logs) > 100:
+        activity_logs.pop(0)
+# --------------------------------------
+
 def determine_domain(model_id: str) -> str:
     mid = model_id.lower()
     if "vision" in mid or "vl" in mid or "omni" in mid: return "Vision & Texte"
@@ -14,10 +25,21 @@ def determine_domain(model_id: str) -> str:
     if "audio" in mid or "whisper" in mid: return "Audio"
     return "Texte Polyvalent"
 
+async def translate_en_to_fr(client: httpx.AsyncClient, text: str) -> str:
+    if not text: return "Aucune description fournie."
+    try:
+        short_text = text[:300].strip()
+        url = f"https://translate.googleapis.com/translate_a/single?client=gtx&sl=en&tl=fr&dt=t&q={urllib.parse.quote(short_text)}"
+        resp = await client.get(url, timeout=4.0)
+        if resp.status_code == 200:
+            translated = "".join([s[0] for s in resp.json()[0]])
+            return translated + ("..." if len(text) > 300 else "")
+    except Exception:
+        pass
+    return text[:200] + "..."
+
 async def sync_finances(db: Session, settings: SystemSettings):
-    """Interroge les fournisseurs pour récupérer le solde financier exact."""
     async with httpx.AsyncClient(timeout=30.0) as client:
-        # OpenRouter
         if settings.openrouter_management_key or settings.openrouter_api_key:
             try:
                 key = settings.openrouter_management_key or settings.openrouter_api_key
@@ -38,10 +60,7 @@ async def sync_finances(db: Session, settings: SystemSettings):
                 update_finance_db(db, "OpenRouter", balance, usage)
             except Exception as e: print(f"Erreur Finance OR: {e}")
             
-        # Groq
         if settings.groq_api_key: update_finance_db(db, "Groq", 999.0, 0.0)
-            
-        # DeepSeek
         if settings.deepseek_api_key:
             try:
                 resp = await client.get("https://api.deepseek.com/user/balance", headers={"Authorization": f"Bearer {settings.deepseek_api_key}"})
@@ -49,11 +68,7 @@ async def sync_finances(db: Session, settings: SystemSettings):
                     infos = resp.json().get("balance_infos", [{}])[0]
                     update_finance_db(db, "DeepSeek", float(infos.get("total_balance", 0)), 0.0)
             except Exception: pass
-
-        # Mistral AI
         if settings.mistral_api_key: update_finance_db(db, "Mistral", 0.0, 0.0)
-        
-        # Gemini
         if settings.gemini_api_key: update_finance_db(db, "Gemini", 0.0, 0.0)
 
     try: db.commit()
@@ -69,12 +84,10 @@ def update_finance_db(db, provider, balance, usage):
     except Exception as e: print(f"Finance DB Error: {e}")
 
 async def sync_providers_models(db: Session, settings: SystemSettings, sync_type: str = "Automatique"):
+    log_activity(f"Lancement de la synchronisation des modèles ({sync_type})...")
     added = 0
-    # On stocke les modèles en mémoire avant de les envoyer en base pour éviter les doublons
     models_to_process = {}
-
     async with httpx.AsyncClient(timeout=90.0) as client:
-        # 1. OpenRouter
         if settings.openrouter_api_key:
             try:
                 resp = await client.get("https://openrouter.ai/api/v1/models")
@@ -84,95 +97,82 @@ async def sync_providers_models(db: Session, settings: SystemSettings, sync_type
                             m_id = item.get("id")
                             if not m_id: continue
                             pricing = item.get("pricing") or {}
-                            try: pp = float(pricing.get("prompt") or 0.0) * 1000000
+                            pp = float(pricing.get("prompt") or 0.0) * 1000000
-                            except: pp = 0.0
+                            pc = float(pricing.get("completion") or 0.0) * 1000000
-                            try: pc = float(pricing.get("completion") or 0.0) * 1000000
-                            except: pc = 0.0
                             is_free = (pp == 0.0 and pc == 0.0)
-                            desc = item.get("description", "Modèle OpenRouter.")[:200] + "..."
+                            desc_en = item.get("description", "Generic AI Model.")
-                            models_to_process[m_id] = {"provider": "openrouter", "name": item.get("name", "Inconnu"), "desc": desc, "domain": determine_domain(m_id), "is_free": is_free, "ctx": item.get("context_length", 0), "pp": pp, "pc": pc}
+                            models_to_process[m_id] = {"provider": "openrouter", "name": item.get("name", "Inconnu"), "desc_en": desc_en, "domain": determine_domain(m_id), "is_free": is_free, "ctx": item.get("context_length", 0), "pp": pp, "pc": pc}
                         except: pass
             except Exception as e: print(f"Erreur OR Models: {e}")
             
-        # 2. Groq
         if settings.groq_api_key:
             try:
                 resp = await client.get("https://api.groq.com/openai/v1/models", headers={"Authorization": f"Bearer {settings.groq_api_key}"})
                 if resp.status_code == 200:
                     for item in resp.json().get("data", []):
-                        try:
                         m_id = item["id"]
-                            models_to_process[m_id] = {"provider": "groq", "name": m_id.capitalize(), "desc": "Modèle rapide LPU Groq.", "domain": determine_domain(m_id), "is_free": True, "ctx": 8192, "pp": 0.0, "pc": 0.0}
+                        models_to_process[m_id] = {"provider": "groq", "name": m_id.capitalize(), "desc": "Modèle très rapide hébergé sur LPU Groq.", "domain": determine_domain(m_id), "is_free": True, "ctx": 8192, "pp": 0.0, "pc": 0.0}
-                        except: pass
             except Exception: pass
 
-        # 3. DeepSeek
         if settings.deepseek_api_key:
             try:
                 resp = await client.get("https://api.deepseek.com/models", headers={"Authorization": f"Bearer {settings.deepseek_api_key}"})
                 if resp.status_code == 200:
                     for item in resp.json().get("data", []):
-                        try:
                         m_id = item["id"]
-                            models_to_process[m_id] = {"provider": "deepseek", "name": m_id.capitalize(), "desc": "Modèle officiel DeepSeek.", "domain": determine_domain(m_id), "is_free": False, "ctx": 64000, "pp": 0.14, "pc": 0.28}
+                        models_to_process[m_id] = {"provider": "deepseek", "name": m_id.capitalize(), "desc": "Modèle officiel du fournisseur DeepSeek.", "domain": determine_domain(m_id), "is_free": False, "ctx": 64000, "pp": 0.14, "pc": 0.28}
-                        except: pass
             except Exception: pass
 
-        # 4. Mistral
         if settings.mistral_api_key:
             try:
                 resp = await client.get("https://api.mistral.ai/v1/models", headers={"Authorization": f"Bearer {settings.mistral_api_key}"})
                 if resp.status_code == 200:
                     for item in resp.json().get("data", []):
-                        try:
                         m_id = item["id"]
-                            models_to_process[m_id] = {"provider": "mistral", "name": m_id.capitalize(), "desc": "Modèle officiel Mistral AI.", "domain": determine_domain(m_id), "is_free": False, "ctx": 32000, "pp": 0.2, "pc": 0.6}
+                        models_to_process[m_id] = {"provider": "mistral", "name": m_id.capitalize(), "desc": "Modèle officiel développé par Mistral AI.", "domain": determine_domain(m_id), "is_free": False, "ctx": 32000, "pp": 0.2, "pc": 0.6}
-                        except: pass
             except Exception: pass
 
-        # 5. Gemini (Google)
         if settings.gemini_api_key:
             try:
                 resp = await client.get(f"https://generativelanguage.googleapis.com/v1beta/models?key={settings.gemini_api_key}")
                 if resp.status_code == 200:
                     for item in resp.json().get("models", []):
-                        try:
                         m_id = item["name"].replace("models/", "")
-                            desc = item.get("description", "Modèle Google Gemini.")[:200] + "..."
+                        models_to_process[m_id] = {"provider": "gemini", "name": item.get("displayName", m_id), "desc": "Modèle natif de l'écosystème Google Gemini.", "domain": determine_domain(m_id), "is_free": True, "ctx": item.get("inputTokenLimit", 32000), "pp": 0.0, "pc": 0.0}
-                            models_to_process[m_id] = {"provider": "gemini", "name": item.get("displayName", m_id), "desc": desc, "domain": determine_domain(m_id), "is_free": True, "ctx": item.get("inputTokenLimit", 32000), "pp": 0.0, "pc": 0.0}
-                        except: pass
             except Exception: pass
 
-        # 6. Cloudflare
         if settings.cloudflare_account_id and settings.cloudflare_api_token:
             try:
                 url = f"https://api.cloudflare.com/client/v4/accounts/{settings.cloudflare_account_id}/ai/models/search"
                 resp = await client.get(url, headers={"Authorization": f"Bearer {settings.cloudflare_api_token}"})
                 if resp.status_code == 200:
                     for item in resp.json().get("result", []):
-                        try:
                         m_id = item.get("name")
-                            desc = item.get("description", "Modèle Cloudflare Workers AI.")[:200] + "..."
+                        models_to_process[m_id] = {"provider": "cloudflare", "name": m_id.split("/")[-1], "desc": "Modèle Serverless Cloudflare Workers AI.", "domain": determine_domain(m_id), "is_free": True, "ctx": 4096, "pp": 0.0, "pc": 0.0}
-                            models_to_process[m_id] = {"provider": "cloudflare", "name": m_id.split("/")[-1], "desc": desc, "domain": determine_domain(m_id), "is_free": True, "ctx": 4096, "pp": 0.0, "pc": 0.0}
-                        except: pass
             except Exception: pass
 
-    # --- Phase d'enregistrement sécurisée ---
+    sem = asyncio.Semaphore(15)
-    for m_id, data in models_to_process.items():
+    async def process_and_translate(m_id, data, client_session):
+        async with sem:
+            if "desc_en" in data:
+                data["desc"] = await translate_en_to_fr(client_session, data["desc_en"])
+            return m_id, data
+
+    async with httpx.AsyncClient(timeout=30.0) as client_trans:
+        tasks = [process_and_translate(m_id, data, client_trans) for m_id, data in models_to_process.items()]
+        translated_results = await asyncio.gather(*tasks)
+
+    for m_id, data in translated_results:
         try:
             existing = db.query(AIModel).filter(AIModel.model_id == m_id).first()
             if existing:
-                existing.pricing_prompt = data["pp"]; existing.pricing_completion = data["pc"]; existing.is_free = data["is_free"]; existing.last_updated = datetime.now(timezone.utc)
+                existing.pricing_prompt = data["pp"]; existing.pricing_completion = data["pc"]; existing.is_free = data["is_free"]; existing.description_fr = data["desc"]; existing.last_updated = datetime.now(timezone.utc)
             else:
                 db.add(AIModel(provider=data["provider"], model_id=m_id, name=data["name"], description_fr=data["desc"], domain=data["domain"], is_free=data["is_free"], context_length=data["ctx"], pricing_prompt=data["pp"], pricing_completion=data["pc"]))
             added += 1
-            # Commit très fréquent pour éviter les gros blocs qui plantent
+            if added % 50 == 0: db.commit()
-            if added % 50 == 0:
+        except IntegrityError: db.rollback()
-                db.commit()
+        except Exception: db.rollback()
-        except IntegrityError:
-            db.rollback() # Si conflit, on annule cette insertion et on continue
-        except Exception:
-            db.rollback()
 
     try:
         settings.last_sync_date = datetime.now(timezone.utc)
@@ -180,13 +180,12 @@ async def sync_providers_models(db: Session, settings: SystemSettings, sync_type
         db.commit()
     except Exception as e:
         db.rollback()
-        print(f"Erreur DB Commit Sync: {e}")
         
     await sync_finances(db, settings)
+    log_activity(f"Synchronisation terminée : {added} modèles analysés.")
     return {"status": "success", "models_processed": added}
 
 def get_client_for_model(db: Session, model_id: str, settings: SystemSettings):
-    """Récupère dynamiquement le bon client OpenAI en fonction du fournisseur du modèle."""
     model_db = db.query(AIModel).filter(AIModel.model_id == model_id).first()
     provider = model_db.provider if model_db else "openrouter"
 
@@ -207,38 +206,112 @@ async def ask_agent(client, model_id, messages, provider="openrouter"):
     kwargs = {"model": model_id, "messages": messages}
     if provider == "openrouter": 
         kwargs["extra_headers"] = {"HTTP-Referer": "https://aethas38.duckdns.org", "X-Title": "AETHAS38 Orchestrator"}
+        kwargs["extra_body"] = {"plugins": [{"id": "context-compression"}]}
+        
     resp = await client.chat.completions.create(**kwargs)
     return resp.choices[0].message.content
 
-async def run_orchestrator(db: Session, history: list, settings: SystemSettings, config: dict) -> str:
+async def run_orchestrator(db: Session, history: list, settings: SystemSettings, config: dict, extracted_files: list = None) -> str:
     workers = config.get("workers", ["gemini-3.5-flash-lite"])
     user_prompt = history[-1].content
+    original_user_text = user_prompt.split("\n\n[Fichiers joints")[0] if "[Fichiers joints" in user_prompt else user_prompt
     formatted_history = [{"role": msg.role, "content": msg.content} for msg in history[:-1]]
 
     final_response = ""
     try:
+        p_mod = config.get("prompter")
+        if not p_mod: p_mod = "gemini-3.5-flash-lite"
+        
+        log_activity(f"Démarrage de l'orchestration. Modèle Prompteur: {p_mod}")
+        p_client, p_prov = get_client_for_model(db, p_mod, settings)
+
+        # --- WORKFLOW MAP-REDUCE : PRÉ-TRAITEMENT SÉQUENTIEL & CHUNKING ---
+        files_context = ""
+        if extracted_files:
+            log_activity(f"Traitement Map-Reduce de {len(extracted_files)} fichier(s) joint(s).")
+            async def process_single_file(f):
+                file_sys = "You are an expert data analyst and senior developer. Extract the most important technical information from the file without losing critical code syntax."
+                content = f['content']
+                chunk_size = 150000 
+                
+                if len(content) > chunk_size:
+                    chunks = [content[i:i+chunk_size] for i in range(0, len(content), chunk_size)]
+                    chunk_analyses = []
+                    log_activity(f"Fichier lourd ({f['name']}): Chunking en {len(chunks)} morceaux.")
+                    for idx, chunk in enumerate(chunks):
+                        file_prompt = f"Demande de l'utilisateur : '{original_user_text}'.\n\nPartie {idx+1}/{len(chunks)} du fichier '{f['name']}'. Analysez, extrayez et résumez le code, VBA, SQL ou les données pertinentes.\n\nContenu :\n```\n{chunk}\n```"
+                        try:
+                            analysis = await ask_agent(p_client, p_mod, [{"role": "system", "content": file_sys}, {"role": "user", "content": file_prompt}], p_prov)
+                            chunk_analyses.append(analysis)
+                            log_activity(f"Analyse chunk {idx+1}/{len(chunks)} pour {f['name']} réussie.")
+                        except Exception as e:
+                            chunk_analyses.append(f"[Erreur sur la partie {idx+1}: {str(e)}]")
+                            log_activity(f"Erreur chunk {idx+1}/{len(chunks)} pour {f['name']}: {str(e)}")
+                        
+                        await asyncio.sleep(1.5) 
+                    
+                    return f"\n\n--- Extraction du fichier {f['name']} (en {len(chunks)} parties) ---\n" + "\n".join(chunk_analyses)
+                else:
+                    file_prompt = f"Demande de l'utilisateur : '{original_user_text}'.\n\nAnalysez le fichier ci-dessous. Extrayez, résumez et conservez méticuleusement tout le code, les macros VBA, les requêtes SQL, ou les données métier pertinentes pour répondre à la demande.\n\nFichier : {f['name']}\nContenu :\n```\n{content}\n```"
+                    try:
+                        analysis = await ask_agent(p_client, p_mod, [{"role": "system", "content": file_sys}, {"role": "user", "content": file_prompt}], p_prov)
+                        log_activity(f"Analyse intégrale de {f['name']} réussie.")
+                        return f"\n\n--- Extraction du fichier {f['name']} ---\n{analysis}"
+                    except Exception as e:
+                        log_activity(f"Erreur d'analyse sur {f['name']}: {str(e)}")
+                        return f"\n\n--- Erreur sur {f['name']} ---\n{str(e)}"
+
+            file_analyses = []
+            for f in extracted_files:
+                analysis = await process_single_file(f)
+                file_analyses.append(analysis)
+                await asyncio.sleep(1.5)
+            
+            files_context = "".join(file_analyses)
+            user_prompt = f"{original_user_text}\n\nVoici les données pré-traitées des fichiers joints :\n{files_context}"
+
+        # --- OPTIMISATION & TRADUCTION ---
+        log_activity(f"Optimisation/Traduction de la requête via Prompteur...")
+        prompt_system = "You are an expert prompt engineer. Translate and optimize the user request and any file context into clear, precise English tailored for AI execution. Keep all code blocks intact."
+        optimized = await ask_agent(p_client, p_mod, [{"role": "system", "content": prompt_system}, {"role": "user", "content": user_prompt}], p_prov)
+
+        log_activity(f"Lancement de {len(workers)} travailleur(s) en parallèle...")
         if len(workers) == 1:
             w_mod = workers[0]
             client, provider = get_client_for_model(db, w_mod, settings)
-            final_response = await ask_agent(client, w_mod, formatted_history + [{"role": "user", "content": user_prompt}], provider)
+            worker_response = await ask_agent(client, w_mod, formatted_history + [{"role": "user", "content": optimized}], provider)
+            responses = [worker_response]
+            log_activity(f"Travailleur 1 ({w_mod}) a terminé.")
         else:
-            p_mod = config.get("prompter", "gemini-3.5-flash-lite")
-            p_client, p_prov = get_client_for_model(db, p_mod, settings)
-            optimized = await ask_agent(p_client, p_mod, [{"role": "system", "content": "Optimise cette requête."}, {"role": "user", "content": user_prompt}], p_prov)
-
             w_tasks = []
             for w in workers:
                 w_client, w_prov = get_client_for_model(db, w, settings)
                 w_tasks.append(ask_agent(w_client, w, formatted_history + [{"role": "user", "content": optimized}], w_prov))
-                
             responses = await asyncio.gather(*w_tasks, return_exceptions=True)
+            log_activity("Tous les travailleurs ont terminé leur analyse.")
+
+        c_mod = config.get("concatenator")
+        if not c_mod: c_mod = "gemini-3.5-flash-lite"
         
-            c_mod = config.get("concatenator", "gemini-3.5-flash-lite")
         c_client, c_prov = get_client_for_model(db, c_mod, settings)
-            synth = f"Requête: {user_prompt}\n\n" + "\n".join([f"--- EXPERT {i+1} ---\n{r}" for i, r in enumerate(responses)]) + "\n\nFais une synthèse finale."
+        
-            final_response = await ask_agent(c_client, c_mod, [{"role": "user", "content": synth}], c_prov)
+        log_activity(f"Synthèse et traduction finale via Concaténeur ({c_mod})...")
+        concat_system = (
+            "You are a master lead developer and technical synthesizer. "
+            "Synthesize the provided expert responses into a single cohesive response. "
+            "Translate all explanatory text, descriptions, and user-facing prose into natural French. "
+            "CRITICAL: Do NOT translate code blocks, programming keywords, or source code contents. "
+            "You may translate code comments into French if appropriate, but leave code syntax strictly intact."
+        )
+        
+        synth = f"User Request: {original_user_text}\n\n" + "\n".join([f"--- EXPERT {i+1} ---\n{str(r)}" for i, r in enumerate(responses)])
+        final_response = await ask_agent(c_client, c_mod, [{"role": "system", "content": concat_system}, {"role": "user", "content": synth}], c_prov)
+        
+        log_activity("Orchestration terminée avec succès.")
+
     except Exception as e:
         final_response = f"L'IA a rencontré une erreur critique: {str(e)}"
+        log_activity(f"ERREUR CRITIQUE: {str(e)}")
     
     await sync_finances(db, settings)
     return final_response

backend/schemas.py

@@ -44,12 +44,17 @@ class OrchestratorConfig(BaseModel):
     prompter: Optional[str] = "gemini-3.5-flash-lite"
     concatenator: Optional[str] = "gemini-3.5-flash-lite"
 
+class AttachedFile(BaseModel):
+    name: str
+    content: str
+
 class MessageBase(BaseModel):
     role: str
     content: str
 
 class MessageCreate(MessageBase):
     config: Optional[OrchestratorConfig] = None
+    files: Optional[List[AttachedFile]] = None
 
 class MessageResponse(MessageBase):
     id: int
@@ -60,3 +65,9 @@ class MessageResponse(MessageBase):
 class PasswordChange(BaseModel):
     old_password: str
     new_password: str
+
+class ModelReplacementRequest(BaseModel):
+    missing_model: str
+
+class LogRequest(BaseModel):
+    message: str

frontend/dashboard.html

@@ -91,8 +91,20 @@
                 </div>
             </div>
 
+            <!-- TERMINAL SYSTEME -->
+            <div class="h-40 border-t border-gray-700 bg-black flex flex-col font-mono text-[9px] flex-shrink-0 shadow-inner">
+                <div class="p-1.5 bg-gray-900 border-b border-gray-700 text-aethas-cyan font-bold flex items-center justify-between">
+                    <div class="flex items-center gap-1"><i data-lucide="terminal" class="w-3 h-3"></i> SYSTEM LOGS</div>
+                    <div class="w-2 h-2 rounded-full bg-green-500 animate-pulse"></div>
+                </div>
+                <div class="flex-1 overflow-y-auto p-2 custom-scrollbar text-green-400 space-y-1" id="terminal-logs">
+                    <div v-for="(log, i) in systemLogs" :key="i" class="break-words">{{ log }}</div>
+                    <div v-if="systemLogs.length === 0" class="text-gray-600">En attente d'activité serveur...</div>
+                </div>
+            </div>
+
             <!-- ENCART FINANCIER -->
-            <div class="px-4 pb-2 border-b border-gray-700">
+            <div class="px-4 pb-2 pt-2 border-t border-gray-700 bg-aethas-panel flex-shrink-0">
                 <div v-if="financesList.length > 0" class="flex flex-col gap-1.5 mb-2">
                     <div v-for="fin in financesList" :key="fin.provider" class="text-[10px] bg-gray-800/80 border border-gray-600/50 px-2 py-1.5 rounded flex justify-between items-center shadow-inner">
                         <span class="text-gray-400 capitalize">{{ fin.provider }}</span>
@@ -101,7 +113,7 @@
                 </div>
             </div>
             
-            <div class="p-4 flex justify-between items-center cursor-pointer hover:bg-gray-800 transition-colors" @click="activeView = 'settings'">
+            <div class="p-4 flex justify-between items-center cursor-pointer hover:bg-gray-800 transition-colors border-t border-gray-700 flex-shrink-0" @click="openSettings">
                 <div class="flex items-center gap-2">
                     <img v-if="user.avatar_path" :src="user.avatar_path" class="w-8 h-8 rounded-full object-cover border border-gray-600 bg-gray-900">
                     <div v-else class="w-8 h-8 rounded-full bg-gradient-to-tr from-aethas-cyan to-aethas-purple flex items-center justify-center text-sm font-bold shadow-md">{{ user.username.charAt(0).toUpperCase() }}</div>
@@ -178,7 +190,7 @@
                         <h3 class="text-lg font-semibold text-red-400 mb-4">Outils Administrateur</h3>
                         <div class="flex gap-4">
                             <button @click="activeView = 'models'" class="bg-gray-700 hover:bg-gray-600 text-white px-4 py-2 rounded-lg text-sm border border-gray-600">Ouvrir le panneau Modèles IA</button>
-                            <a href="/api/models/export" target="_blank" class="bg-gray-700 hover:bg-gray-600 text-white px-4 py-2 rounded-lg text-sm border border-gray-600">Exporter DB Modèles (JSON)</a>
+                            <a href="/api/models/export" target="_blank" class="bg-gray-700 hover:bg-gray-600 text-white px-4 py-2 rounded-lg text-sm border border-gray-600">Exporter DB Modèles (ZIP CSV/MD)</a>
                         </div>
                     </div>
                 </div>
@@ -215,6 +227,10 @@
             <div class="bg-aethas-panel border border-gray-700 rounded-xl overflow-hidden flex flex-col">
                 <div class="p-4 bg-gray-800/50 border-b border-gray-700 flex flex-wrap gap-4 items-center">
                     <input v-model="filterSearch" type="text" placeholder="Rechercher..." class="bg-gray-900 border border-gray-600 rounded px-3 py-1.5 text-sm text-gray-200 w-full md:w-64 focus:border-aethas-cyan focus:outline-none">
+                    <select v-model="filterProvider" class="bg-gray-900 border border-gray-600 rounded px-3 py-1.5 text-sm text-gray-200 focus:outline-none">
+                        <option value="">Tous les fournisseurs</option>
+                        <option v-for="p in uniqueProviders" :key="p" :value="p">{{ p.toUpperCase() }}</option>
+                    </select>
                     <select v-model="filterDomain" class="bg-gray-900 border border-gray-600 rounded px-3 py-1.5 text-sm text-gray-200 focus:outline-none">
                         <option value="">Tous les domaines</option>
                         <option value="Texte Polyvalent">Texte Polyvalent</option>
@@ -277,9 +293,10 @@
                             </template>
                         </div>
 
-                        <div v-if="msg.role !== 'user'" class="mt-3 flex items-center gap-3 border-t border-gray-700/50 pt-2 opacity-50 hover:opacity-100 transition-opacity">
+                        <!-- Boutons présents sur toutes les bulles (utilisateur et IA) -->
+                        <div class="mt-3 flex items-center gap-3 border-t border-gray-700/50 pt-2 opacity-50 hover:opacity-100 transition-opacity">
                             <button @click="copyToClipboard(msg.content)" class="text-xs text-gray-400 hover:text-aethas-cyan flex items-center gap-1"><i data-lucide="copy" class="w-3 h-3"></i> Copier</button>
-                            <button @click="downloadMessage(msg.content, msg.created_at)" class="text-xs text-gray-400 hover:text-aethas-cyan flex items-center gap-1"><i data-lucide="file-down" class="w-3 h-3"></i> Extraire</button>
+                            <button @click="downloadMessage(msg.content, msg.created_at || new Date().toISOString())" class="text-xs text-gray-400 hover:text-aethas-cyan flex items-center gap-1"><i data-lucide="file-down" class="w-3 h-3"></i> Extraire</button>
                         </div>
                     </div>
 
@@ -292,24 +309,32 @@
                     </div>
                 </div>
 
-                <!-- BARRE DE SÉLECTION DE STYLE TABULAIRE (9 COLONNES STRICTES) -->
+                <div class="p-4 md:px-6 md:pt-6 pb-2 w-full max-w-7xl mx-auto flex-shrink-0">
-                <div class="p-4 md:p-6 w-full max-w-7xl mx-auto space-y-2 flex-shrink-0">
+                    <div class="flex justify-between items-center mb-2">
-                    <div class="grid grid-cols-9 border border-black bg-gray-900 rounded-lg overflow-hidden text-center text-xs font-bold shadow-lg">
+                        <span class="text-xs font-semibold text-gray-400 uppercase tracking-wider">Configuration des IA</span>
+                        <div class="flex gap-2">
+                            <button @click="downloadTemplate" class="text-xs bg-gray-800 hover:bg-gray-700 text-aethas-cyan border border-gray-600 px-2 py-1 rounded flex items-center gap-1 transition-colors" title="Télécharger le modèle .md"><i data-lucide="download" class="w-3 h-3"></i> Template MD</button>
+                            <label class="text-xs bg-gray-800 hover:bg-gray-700 text-aethas-cyan border border-gray-600 px-2 py-1 rounded flex items-center gap-1 transition-colors cursor-pointer" title="Importer une configuration .md">
+                                <i data-lucide="upload" class="w-3 h-3"></i> Importer
+                                <input type="file" accept=".md" @change="handleConfigImport" class="hidden">
+                            </label>
+                        </div>
+                    </div>
 
-                        <!-- 1. PAYANT / GRATUIT -->
+                    <!-- BARRE DE SÉLECTION -->
+                    <div class="grid grid-cols-9 border border-black bg-gray-900 rounded-lg overflow-hidden text-center text-xs font-bold shadow-lg mb-4">
                         <div class="border-r border-black p-1.5 bg-gray-800 flex flex-col justify-center">
                             <label class="block text-[9px] text-gray-400 mb-1">PRIX</label>
-                            <select v-model="filterPricing" class="w-full bg-aethas-dark border border-gray-700 rounded text-gray-200 text-[10px] p-1 outline-none">
+                            <select v-model="colPricing" class="w-full bg-aethas-dark border border-gray-700 rounded text-gray-200 text-[10px] p-1 outline-none">
                                 <option value="">TOUS</option>
                                 <option value="free">GRATUIT</option>
                                 <option value="paid">PAYANT</option>
                             </select>
                         </div>
 
-                        <!-- 2. TYPE (DOMAINE) -->
                         <div class="border-r border-black p-1.5 bg-gray-800 flex flex-col justify-center">
                             <label class="block text-[9px] text-gray-400 mb-1">TYPE</label>
-                            <select v-model="filterDomain" class="w-full bg-aethas-dark border border-gray-700 rounded text-gray-200 text-[10px] p-1 outline-none">
+                            <select v-model="colDomain" class="w-full bg-aethas-dark border border-gray-700 rounded text-gray-200 text-[10px] p-1 outline-none">
                                 <option value="">TOUS</option>
                                 <option value="Texte Polyvalent">Texte</option>
                                 <option value="Code & Logique">Codage</option>
@@ -318,23 +343,519 @@
                             </select>
                         </div>
 
-                        <!-- 3. TRAVAILLEUR 1 -->
                         <div class="border-r border-black p-1.5 bg-gray-800 flex flex-col justify-center">
                             <label class="block text-[9px] text-aethas-cyan mb-1">TRAVAILLEUR 1</label>
                             <select v-model="workers[0]" class="w-full bg-aethas-dark border border-gray-700 rounded text-gray-200 text-[10px] p-1 outline-none truncate">
                                 <option value="">(Aucun)</option>
-                                <option v-for="m in filteredBarModels" :key="m.model_id" :value="m.model_id">{{ m.name || m.model_id }}</option>
+                                <option v-for="m in getFilteredModelsForCol(colPricing, colDomain, workers[0])" :key="m.model_id" :value="m.model_id">{{ m.name || m.model_id }}</option>
                             </select>
                         </div>
 
-                        <!-- 4. TRAVAILLEUR 2 -->
                         <div class="border-r border-black p-1.5 bg-gray-800 flex flex-col justify-center">
                             <label class="block text-[9px] text-aethas-cyan mb-1">TRAVAILLEUR 2</label>
                             <select v-model="workers[1]" class="w-full bg-aethas-dark border border-gray-700 rounded text-gray-200 text-[10px] p-1 outline-none truncate">
                                 <option value="">(Aucun)</option>
-                                <option v-for="m in filteredBarModels" :key="m.model_id" :value="m.model_id">{{ m.name || m.model_id }}</option>
+                                <option v-for="m in getFilteredModelsForCol(colPricing, colDomain, workers[1])" :key="m.model_id" :value="m.model_id">{{ m.name || m.model_id }}</option>
                             </select>
                         </div>
 
-                        <!-- 5. TRAVAILLEUR 3 -->
+                        <div class="border-r border-black p-1.5 bg-gray-800 flex flex-col justify-center">
-                        <div class="
+                            <label class="block text-[9px] text-aethas-cyan mb-1">TRAVAILLEUR 3</label>
+                            <select v-model="workers[2]" class="w-full bg-aethas-dark border border-gray-700 rounded text-gray-200 text-[10px] p-1 outline-none truncate">
+                                <option value="">(Aucun)</option>
+                                <option v-for="m in getFilteredModelsForCol(colPricing, colDomain, workers[2])" :key="m.model_id" :value="m.model_id">{{ m.name || m.model_id }}</option>
+                            </select>
+                        </div>
+
+                        <div class="border-r border-black p-1.5 bg-gray-800 flex flex-col justify-center">
+                            <label class="block text-[9px] text-aethas-cyan mb-1">TRAVAILLEUR 4</label>
+                            <select v-model="workers[3]" class="w-full bg-aethas-dark border border-gray-700 rounded text-gray-200 text-[10px] p-1 outline-none truncate">
+                                <option value="">(Aucun)</option>
+                                <option v-for="m in getFilteredModelsForCol(colPricing, colDomain, workers[3])" :key="m.model_id" :value="m.model_id">{{ m.name || m.model_id }}</option>
+                            </select>
+                        </div>
+
+                        <div class="border-r border-black p-1.5 bg-gray-800 flex flex-col justify-center">
+                            <label class="block text-[9px] text-aethas-cyan mb-1">TRAVAILLEUR 5</label>
+                            <select v-model="workers[4]" class="w-full bg-aethas-dark border border-gray-700 rounded text-gray-200 text-[10px] p-1 outline-none truncate">
+                                <option value="">(Aucun)</option>
+                                <option v-for="m in getFilteredModelsForCol(colPricing, colDomain, workers[4])" :key="m.model_id" :value="m.model_id">{{ m.name || m.model_id }}</option>
+                            </select>
+                        </div>
+
+                        <div class="border-r border-black p-1.5 bg-gray-800 flex flex-col justify-center">
+                            <label class="block text-[9px] text-gray-400 mb-1">PROMPTEUR</label>
+                            <select v-model="selectedPrompter" class="w-full bg-aethas-dark border border-gray-700 rounded text-gray-200 text-[10px] p-1 outline-none truncate">
+                                <option value="">(Par défaut)</option>
+                                <option v-for="m in getFilteredModelsForCol(colPricing, colDomain, selectedPrompter)" :key="m.model_id" :value="m.model_id">{{ m.name || m.model_id }}</option>
+                            </select>
+                        </div>
+
+                        <div class="p-1.5 bg-gray-800 flex flex-col justify-center">
+                            <label class="block text-[9px] text-aethas-purple mb-1">CONCATENEUR</label>
+                            <select v-model="selectedConcatenator" class="w-full bg-aethas-dark border border-gray-700 rounded text-gray-200 text-[10px] p-1 outline-none truncate">
+                                <option value="">(Par défaut)</option>
+                                <option v-for="m in getFilteredModelsForCol(colPricing, colDomain, selectedConcatenator)" :key="m.model_id" :value="m.model_id">{{ m.name || m.model_id }}</option>
+                            </select>
+                        </div>
+                    </div>
+
+                    <!-- CHAT INPUT -->
+                    <div class="relative flex items-end bg-gray-800 border border-gray-600 rounded-2xl p-2 shadow-lg focus-within:border-aethas-cyan flex-col gap-2">
+                        <div v-if="attachedFiles.length > 0" class="w-full flex flex-wrap gap-2 px-2 pt-2">
+                            <div v-for="(file, index) in attachedFiles" :key="index" class="bg-gray-900 border border-gray-700 rounded px-2 py-1 text-xs text-gray-300 flex items-center gap-2">
+                                <i data-lucide="file" class="w-3.5 h-3.5 text-aethas-cyan"></i>
+                                <span class="truncate max-w-[150px]">{{ file.name }}</span>
+                                <button @click="removeFile(index)" class="text-red-400 hover:text-red-300"><i data-lucide="x" class="w-3 h-3"></i></button>
+                            </div>
+                        </div>
+
+                        <div class="w-full flex items-end">
+                            <label class="p-3 text-gray-400 hover:text-aethas-cyan cursor-pointer transition-colors" title="Joindre des fichiers (max 10)">
+                                <i data-lucide="paperclip" class="w-5 h-5"></i>
+                                <input type="file" multiple @change="handleFileUpload" class="hidden">
+                            </label>
+
+                            <textarea v-model="prompt" @input="autoResize" @paste="handlePaste" @keydown.enter.exact.prevent="sendMessage" ref="promptTextarea" :disabled="isAiThinking" rows="1" class="w-full bg-transparent text-gray-200 p-3 max-h-[200px] overflow-y-auto focus:outline-none resize-none disabled:opacity-50 custom-scrollbar" :placeholder="attachedFiles.length > 0 ? attachedFiles.length + ' fichier(s) attaché(s)' : 'Posez votre question ou glissez jusqu\'à 10 fichiers ici...'"></textarea>
+                            
+                            <button @click="sendMessage" :disabled="(!prompt.trim() && attachedFiles.length === 0) || isAiThinking" class="p-3 text-aethas-cyan hover:text-white disabled:opacity-50"><i data-lucide="send" class="w-5 h-5"></i></button>
+                        </div>
+                    </div>
+                </div>
+            </template>
+        </div>
+    </main>
+</div>
+
+<script>
+    const { createApp, ref, reactive, onMounted, nextTick, computed, watch } = Vue;
+
+    createApp({
+        setup() {
+            const user = ref({ username: "Guest", is_admin: false, is_superadmin: false, avatar_path: null });
+            const activeView = ref('chat'); 
+            const settingsTab = ref('user');
+            const isSidebarOpen = ref(true);
+            const prompt = ref("");
+            const promptTextarea = ref(null);
+            
+            const projects = ref([]);
+            const activeProject = ref(null);
+            const messages = ref([]);
+            
+            const isLoading = ref(false);
+            const isAiThinking = ref(false);
+            const isSyncing = ref(false);
+            const isSavingSettings = ref(false);
+
+            const isSettingsModalOpen = ref(false);
+            const settingsMessage = ref("");
+            const passForm = reactive({ old: '', new: '', confirm: '' });
+            
+            const modelInfo = reactive({ last_sync_date: null, last_sync_type: null, models: [] });
+            const financesList = ref([]);
+            const filterSearch = ref("");
+            const filterDomain = ref("");
+            const filterPricing = ref("");
+            const filterProvider = ref("");
+            
+            const colPricing = ref("");
+            const colDomain = ref("");
+
+            const workers = ref(["", "", "", "", ""]);
+            const selectedPrompter = ref("");
+            const selectedConcatenator = ref("");
+
+            const attachedFiles = ref([]); 
+            
+            const systemLogs = ref([]);
+            let logInterval = null;
+
+            const pinnedProjects = computed(() => projects.value.filter(p => p.is_pinned));
+            const recentProjects = computed(() => projects.value.filter(p => !p.is_pinned));
+            
+            const uniqueProviders = computed(() => {
+                return [...new Set(modelInfo.models.map(m => m.provider))].sort();
+            });
+
+            const filteredModels = computed(() => {
+                return modelInfo.models.filter(m => {
+                    const matchSearch = (m.model_id.toLowerCase().includes(filterSearch.value.toLowerCase()) || m.provider.toLowerCase().includes(filterSearch.value.toLowerCase()));
+                    const matchDomain = filterDomain.value === "" || m.domain === filterDomain.value;
+                    const matchProvider = filterProvider.value === "" || m.provider === filterProvider.value;
+                    let matchPrice = true;
+                    if (filterPricing.value === 'free') matchPrice = m.is_free;
+                    if (filterPricing.value === 'paid') matchPrice = !m.is_free;
+                    return matchSearch && matchDomain && matchProvider && matchPrice;
+                });
+            });
+
+            const getFilteredModelsForCol = (pricingFilter, domainFilter, currentSelectedId) => {
+                let filtered = modelInfo.models.filter(m => {
+                    const matchDomain = domainFilter === "" || m.domain === domainFilter;
+                    let matchPrice = true;
+                    if (pricingFilter === 'free') matchPrice = m.is_free;
+                    if (pricingFilter === 'paid') matchPrice = !m.is_free;
+                    return matchDomain && matchPrice;
+                });
+                
+                if (currentSelectedId && currentSelectedId.trim() !== "") {
+                    const exists = filtered.find(m => m.model_id === currentSelectedId);
+                    if (!exists) {
+                        const original = modelInfo.models.find(m => m.model_id === currentSelectedId);
+                        if (original) {
+                            filtered.unshift(original);
+                        } else {
+                            filtered.unshift({ model_id: currentSelectedId, name: currentSelectedId, domain: "Importé", pricing_prompt: 0, pricing_completion: 0 });
+                        }
+                    }
+                }
+                return filtered;
+            };
+
+            const formatDate = (isoString) => {
+                if (!isoString) return "Jamais";
+                const d = new Date(isoString);
+                return d.toLocaleDateString('fr-FR', { day: '2-digit', month: '2-digit', year: 'numeric' }) + " à " + d.toLocaleTimeString('fr-FR', { hour: '2-digit', minute: '2-digit' });
+            };
+
+            const toggleSidebar = () => { isSidebarOpen.value = !isSidebarOpen.value; };
+            const autoResize = () => { const el = promptTextarea.value; if(el){ el.style.height = 'auto'; el.style.height = el.scrollHeight + 'px'; }};
+            const scrollToBottom = () => { nextTick(() => { const c = document.getElementById('chat-container'); if (c) c.scrollTop = c.scrollHeight; }); };
+
+            const openSettings = () => { isSettingsModalOpen.value = true; nextTick(() => lucide.createIcons()); };
+            const closeSettings = () => { isSettingsModalOpen.value = false; };
+            
+            const logToTerminal = async (msg) => {
+                try { await fetch('/api/logs', { method: 'POST', headers: {'Content-Type': 'application/json'}, body: JSON.stringify({ message: msg }) }); } catch(e){}
+            };
+
+            const fetchLogs = async () => {
+                try {
+                    const res = await fetch('/api/logs');
+                    if (res.ok) {
+                        const data = await res.json();
+                        if (systemLogs.value.length !== data.logs.length || data.logs[data.logs.length-1] !== systemLogs.value[systemLogs.value.length-1]) {
+                            systemLogs.value = data.logs;
+                            nextTick(() => {
+                                const el = document.getElementById('terminal-logs');
+                                if (el) el.scrollTop = el.scrollHeight;
+                            });
+                        }
+                    }
+                } catch(e){}
+            };
+
+            const validateConfigAndReplace = async () => {
+                if (!modelInfo.models || modelInfo.models.length === 0) return;
+                const availableModels = modelInfo.models.map(m => m.model_id);
+                const replacements = [];
+                
+                const checkAndReplace = async (val, setterCallback, roleName) => {
+                    if (val && val.trim() !== "" && !availableModels.includes(val)) {
+                        logToTerminal(`Le modèle ${val} n'est plus reconnu. Recherche Gemini...`);
+                        try {
+                            const res = await fetch('/api/models/suggest_replacement', {
+                                method: 'POST', headers: {'Content-Type': 'application/json'},
+                                body: JSON.stringify({ missing_model: val })
+                            });
+                            if (res.ok) {
+                                const data = await res.json();
+                                setterCallback(data.suggestion);
+                                replacements.push(`- ${roleName} : ${val} a été remplacé par ${data.suggestion}\n  Raison: ${data.reason}`);
+                            } else {
+                                setterCallback("gemini-3.5-flash-lite");
+                                replacements.push(`- ${roleName} : ${val} remplacé par gemini-3.5-flash-lite (Erreur API)`);
+                            }
+                        } catch(e) {
+                            setterCallback("gemini-3.5-flash-lite");
+                        }
+                    }
+                };
+
+                await checkAndReplace(selectedPrompter.value, (n) => selectedPrompter.value = n, "Prompteur");
+                await checkAndReplace(selectedConcatenator.value, (n) => selectedConcatenator.value = n, "Concaténeur");
+                for(let i=0; i<5; i++) {
+                    await checkAndReplace(workers.value[i], (n) => workers.value[i] = n, `Travailleur ${i+1}`);
+                }
+
+                if (replacements.length > 0) {
+                    alert("⚠️ Mise à jour de la conversation\n\nCertains modèles ne sont plus disponibles. L'IA a trouvé des alternatives :\n\n" + replacements.join("\n\n"));
+                }
+            };
+
+            watch([workers, selectedPrompter, selectedConcatenator], () => {
+                if (activeProject.value) {
+                    const config = {
+                        workers: workers.value,
+                        prompter: selectedPrompter.value,
+                        concatenator: selectedConcatenator.value
+                    };
+                    localStorage.setItem('aethas_config_' + activeProject.value.id, JSON.stringify(config));
+                }
+            }, { deep: true });
+
+            const fetchUser = async () => { try { const res = await fetch('/api/users/me'); if(res.ok) user.value = await res.json(); } catch(e){} };
+            const fetchModelsInfo = async () => { try { const res = await fetch('/api/models/info'); if(res.ok) { const data = await res.json(); modelInfo.last_sync_date = data.last_sync_date; modelInfo.last_sync_type = data.last_sync_type; modelInfo.models = data.models; } } catch(e){} };
+            const fetchFinances = async () => { try { const res = await fetch('/api/finances'); if(res.ok) financesList.value = await res.json(); } catch(e){} };
+            
+            const syncModels = async () => { 
+                isSyncing.value = true; 
+                logToTerminal("Déclenchement manuel de l'extraction des modèles...");
+                try { 
+                    const res = await fetch('/api/models/sync', { method: 'POST' }); 
+                    if(res.ok) { 
+                        await fetchModelsInfo(); 
+                        await fetchFinances();
+                        alert("Synchronisation réussie !"); 
+                    } else if (res.status === 401) {
+                        alert("Votre session a expiré."); window.location.href = '/login';
+                    } else {
+                        let errText = await res.text();
+                        try { const errObj = JSON.parse(errText); errText = errObj.detail || errText; } catch(e){}
+                        alert("Erreur retournée par le serveur : " + errText);
+                    }
+                } catch(e) { alert("Erreur réseau: impossible de contacter le serveur."); } 
+                isSyncing.value = false; 
+            };
+
+            const downloadTemplate = () => {
+                logToTerminal("Téléchargement du template MD généré.");
+                const templateContent = `# AETHAS38 - Configuration Multi-Agents\n\n**Rappel important :**\n- **Prompteur :** Le système de l'orchestrateur utilisera ce modèle pour traduire et optimiser votre requête initiale en ANGLAIS (langue native des IA).\n- **Concaténeur :** Le système utilisera ce modèle pour regrouper les réponses des travailleurs et traduire la synthèse finale en FRANÇAIS (en préservant le code brut).\n\n## Sélection des Modèles\nRenseignez l'ID exact du modèle (ex: gemini-3.5-flash-lite, mistralai/mistral-large-4-0). Laissez vide si inutilisé.\n\n- Prompteur : \n- Travailleur 1 : \n- Travailleur 2 : \n- Travailleur 3 : \n- Travailleur 4 : \n- Travailleur 5 : \n- Concaténeur : \n`;
+                downloadFile(templateContent, 'aethas38-config-agents.md');
+            };
+
+            const handleConfigImport = (event) => {
+                const file = event.target.files[0];
+                if (!file) return;
+                logToTerminal(`Importation de configuration depuis ${file.name}`);
+                const reader = new FileReader();
+                reader.onload = async (e) => {
+                    const content = e.target.result;
+                    
+                    const extractModel = (key) => {
+                        const safeKey = key.replace(/[éèe]/gi, '[éèe]');
+                        const regex = new RegExp(`-\\s*${safeKey}\\s*:\\s*([^\\r\\n]*)`, 'i');
+                        const match = content.match(regex);
+                        return match && match[1] ? match[1].trim() : "";
+                    };
+
+                    const w1 = extractModel('Travailleur 1');
+                    const w2 = extractModel('Travailleur 2');
+                    const w3 = extractModel('Travailleur 3');
+                    const w4 = extractModel('Travailleur 4');
+                    const w5 = extractModel('Travailleur 5');
+
+                    workers.value = [w1, w2, w3, w4, w5];
+                    selectedPrompter.value = extractModel('Prompteur');
+                    selectedConcatenator.value = extractModel('Concateneur');
+
+                    await validateConfigAndReplace();
+                    alert("Configuration IA importée et appliquée avec succès !");
+                };
+                reader.readAsText(file);
+                event.target.value = null;
+            };
+
+            const uploadAvatar = async (event) => {
+                const file = event.target.files[0];
+                if (!file) return;
+                const formData = new FormData(); formData.append("file", file);
+                try {
+                    const res = await fetch('/api/users/me/avatar', { method: 'POST', body: formData });
+                    const data = await res.json();
+                    if(res.ok) user.value.avatar_path = data.avatar_path;
+                    else alert(data.detail);
+                } catch(e) { alert("Erreur d'upload"); }
+                event.target.value = null;
+            };
+
+            const handleFileUpload = (event) => {
+                const files = event.target.files;
+                if (!files) return;
+                for (let i = 0; i < files.length; i++) {
+                    if (attachedFiles.value.length >= 10) {
+                        alert("Maximum 10 fichiers autorisés par message.");
+                        break;
+                    }
+                    processFile(files[i]);
+                }
+                event.target.value = null;
+            };
+
+            const handlePaste = (event) => {
+                const items = (event.clipboardData || event.originalEvent.clipboardData).items;
+                for (let index in items) {
+                    let item = items[index];
+                    if (item.kind === 'file') {
+                        let file = item.getAsFile();
+                        if (file) {
+                            if (attachedFiles.value.length >= 10) {
+                                alert("Maximum 10 fichiers autorisés par message.");
+                                break;
+                            }
+                            processFile(file);
+                        }
+                    }
+                }
+            };
+
+            const processFile = (file) => {
+                logToTerminal(`Fichier ${file.name} ajouté en pièce jointe.`);
+                const reader = new FileReader();
+                const textExts = ['.txt', '.md', '.csv', '.json', '.py', '.js', '.html', '.css', '.xml', '.yml', '.yaml', '.sh', '.bat', '.ps1', '.ini', '.cfg', '.conf', '.log'];
+                const isText = textExts.some(ext => file.name.toLowerCase().endsWith(ext)) || file.type.startsWith('text/');
+                
+                reader.onload = (e) => {
+                    attachedFiles.value.push({ name: file.name, content: e.target.result });
+                };
+
+                if (isText) {
+                    reader.readAsText(file);
+                } else {
+                    reader.readAsDataURL(file);
+                }
+            };
+
+            const removeFile = (index) => { attachedFiles.value.splice(index, 1); };
+
+            const exportProject = (format) => { if(activeProject.value) window.open(`/api/projects/${activeProject.value.id}/export?format=${format}`, '_blank'); };
+            const copyToClipboard = async (text) => { try { await navigator.clipboard.writeText(text); alert("Copié !"); } catch (e) {} };
+            const downloadFile = (content, hint) => { let fname = hint ? hint.trim() : 'code.txt'; if (!fname.includes('.')) fname += '.txt'; const blob = new Blob([content], { type: 'text/plain;charset=utf-8' }); const url = URL.createObjectURL(blob); const a = document.createElement('a'); a.href = url; a.download = fname; a.click(); URL.revokeObjectURL(url); };
+            const downloadMessage = (content, dateString) => { downloadFile(content, `message_${dateString.replace(/[:T.Z]/g, '-')}.txt`); };
+            const parseMessage = (content) => { const regex = /```([\w.-]*)\n([\s\S]*?)```/g; let parts = [], last = 0, m; while ((m = regex.exec(content)) !== null) { if (m.index > last) parts.push({ type: 'text', content: content.slice(last, m.index) }); parts.push({ type: 'code', language: m[1], content: m[2] }); last = m.index + m[0].length; } if (last < content.length) parts.push({ type: 'text', content: content.slice(last) }); return parts.length > 0 ? parts : [{ type: 'text', content: content }]; };
+
+            const fetchProjects = async () => { try { const res = await fetch('/api/projects'); if(res.ok) projects.value = await res.json(); nextTick(()=>lucide.createIcons()); } catch(e){} };
+            const selectProject = async (project) => { 
+                activeView.value = 'chat'; 
+                activeProject.value = project; 
+                messages.value = []; 
+                logToTerminal(`Chargement du projet: ${project.title}`);
+
+                const saved = localStorage.getItem('aethas_config_' + project.id);
+                if (saved) {
+                    try {
+                        const config = JSON.parse(saved);
+                        workers.value = config.workers || ["", "", "", "", ""];
+                        selectedPrompter.value = config.prompter || "";
+                        selectedConcatenator.value = config.concatenator || "";
+                    } catch(e) {
+                        workers.value = ["", "", "", "", ""];
+                        selectedPrompter.value = "";
+                        selectedConcatenator.value = "";
+                    }
+                } else {
+                    workers.value = ["", "", "", "", ""];
+                    selectedPrompter.value = "";
+                    selectedConcatenator.value = "";
+                }
+
+                try { 
+                    const res = await fetch(`/api/projects/${project.id}/messages`); 
+                    if(res.ok) { 
+                        messages.value = await res.json(); 
+                        scrollToBottom(); 
+                        nextTick(()=>lucide.createIcons()); 
+                    } else if (res.status === 401) {
+                        alert("Votre session a expiré."); window.location.href = '/login';
+                    }
+                } catch(e){} 
+
+                await validateConfigAndReplace();
+            };
+            
+            const createNewProject = async () => { 
+                activeView.value = 'chat'; isLoading.value = true; 
+                try { 
+                    const res = await fetch('/api/projects', { method: 'POST', headers: {'Content-Type': 'application/json'}, body: JSON.stringify({title: "Nouvelle discussion"})}); 
+                    if(res.ok){ const np = await res.json(); projects.value.unshift(np); selectProject(np); } else if (res.status === 401) { alert("Session expirée."); window.location.href='/login'; }
+                } catch(e){} finally{isLoading.value = false;} 
+            };
+
+            const sendMessage = async () => {
+                const activeWorkers = workers.value.filter(w => w && w.trim() !== "");
+                if ((!prompt.value.trim() && attachedFiles.value.length === 0) || !activeProject.value || activeWorkers.length === 0) {
+                    alert("Veuillez sélectionner au moins un travailleur et rédiger ou joindre un contenu.");
+                    return;
+                }
+                const userText = prompt.value.trim(); 
+                prompt.value = ""; 
+                autoResize();
+                
+                const fileNames = attachedFiles.value.map(f => f.name).join(", ");
+                messages.value.push({ id: Date.now(), role: 'user', content: userText + (attachedFiles.value.length > 0 ? `\n[Fichiers joints: ${fileNames}]` : "") });
+                isAiThinking.value = true; 
+                scrollToBottom();
+                
+                const payloadFiles = [...attachedFiles.value];
+                const payload = { 
+                    role: 'user', 
+                    content: userText || "Analyse ces fichiers joints.", 
+                    config: { workers: activeWorkers, prompter: selectedPrompter.value, concatenator: selectedConcatenator.value },
+                    files: payloadFiles
+                };
+
+                attachedFiles.value = [];
+                logToTerminal("Envoi de la requête à l'orchestrateur...");
+
+                try {
+                    const response = await fetch(`/api/projects/${activeProject.value.id}/messages`, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(payload) });
+                    if (response.ok) { 
+                        const data = await response.json(); 
+                        if (Array.isArray(data)) messages.value = data; 
+                        await fetchFinances(); 
+                    } else if (response.status === 401) {
+                        alert("Votre session a expiré. Veuillez vous reconnecter.");
+                        window.location.href = '/login';
+                        return;
+                    } else { 
+                        const err = await response.json(); alert("Erreur API IA : " + err.detail); 
+                    }
+                } catch (error) {
+                    alert("Erreur locale lors de l'envoi : " + error.message);
+                } finally { 
+                    isAiThinking.value = false; 
+                    scrollToBottom(); 
+                    nextTick(()=>lucide.createIcons()); 
+                }
+            };
+
+            const changePassword = async () => {
+                settingsMessage.value = "";
+                if (passForm.new !== passForm.confirm) { settingsMessage.value = "Mots de passe différents."; return; }
+                if (passForm.new.length < 8) { settingsMessage.value = "8 caractères minimum."; return; }
+                isSavingSettings.value = true;
+                try { const res = await fetch('/api/users/me/password', { method: 'PUT', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ old_password: passForm.old, new_password: passForm.new }) }); const data = await res.json(); if (res.ok) { settingsMessage.value = data.message; passForm.old=''; passForm.new=''; passForm.confirm=''; } else { settingsMessage.value = data.detail; } } catch (e) {} finally { isSavingSettings.value = false; }
+            };
+
+            const renameProject = async (project) => { const nt = window.prompt("Nom :", project.title); if (!nt || nt.trim() === "" || nt === project.title) return; try { const res = await fetch(`/api/projects/${project.id}/rename`, { method: 'PUT', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ title: nt.trim() }) }); if (res.ok) { const up = await res.json(); const i = projects.value.findIndex(p => p.id === project.id); if (i !== -1) projects.value[i] = up; if (activeProject.value && activeProject.value.id === project.id) activeProject.value.title = up.title; } } catch (e) {} };
+            const togglePin = async (pid) => { try { const res = await fetch(`/api/projects/${pid}/pin`, { method: 'PUT' }); if (res.ok) { const up = await res.json(); const i = projects.value.findIndex(p => p.id === pid); if (i !== -1) projects.value[i] = up; } } catch (e) {} };
+            const deleteProject = async (pid) => { if (!confirm("Supprimer ce projet ?")) return; try { const res = await fetch(`/api/projects/${pid}`, { method: 'DELETE' }); if (res.ok) { projects.value = projects.value.filter(p => p.id !== pid); if (activeProject.value && activeProject.value.id === pid) activeProject.value = null; } } catch (e) {} };
+
+            onMounted(() => { 
+                lucide.createIcons(); 
+                fetchUser(); 
+                fetchProjects(); 
+                fetchModelsInfo().then(() => {
+                    // Force la validation de la première vue si nécessaire
+                    if(activeProject.value) validateConfigAndReplace();
+                }); 
+                fetchFinances(); 
+                logInterval = setInterval(fetchLogs, 2000);
+            });
+
+            return { 
+                user, activeView, settingsTab, isSidebarOpen, toggleSidebar, prompt, autoResize, promptTextarea, 
+                projects, pinnedProjects, recentProjects, activeProject, messages, isAiThinking,
+                createNewProject, selectProject, renameProject, sendMessage, isLoading, togglePin, deleteProject,
+                isSettingsModalOpen, openSettings, closeSettings, passForm, settingsMessage, isSavingSettings, changePassword, uploadAvatar,
+                modelInfo, financesList, filterSearch, filterDomain, filterPricing, filterProvider, uniqueProviders, filteredModels, getFilteredModelsForCol, formatDate, syncModels, isSyncing,
+                workers, selectedPrompter, selectedConcatenator, colPricing, colDomain, downloadTemplate, handleConfigImport,
+                attachedFiles, handleFileUpload, handlePaste, removeFile,
+                exportProject, copyToClipboard, downloadFile, downloadMessage, parseMessage, systemLogs
+            };
+        }
+    }).mount('#app');
+</script>
+</body>
+</html>

requirements.txt

@@ -15,3 +15,6 @@ openai
 httpx
 python-multipart
 pytz
+PyPDF2
+openpyxl
+oletools