feat: intégration du workflow map-reduce parallèle pour le pré-traitement des fichiers joints, correction de session (7 jours) et redirection auto sur 401

backend/main.py

@@ -3,7 +3,7 @@ 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
 from datetime import datetime
 import pytz
 
@@ -73,7 +73,8 @@ 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")
+    # Correction : Extension de la durée de session à 7 jours (604800 secondes) pour éviter les erreurs 401 intempestives
+    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")
@@ -143,21 +144,78 @@ 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)):
-    final_content = message.content
+    extracted_files_data = []
-    if message.files:
+    files_names = []
-        files_text = ""
-        for f in message.files:
-            files_text += f"\n\n[Fichier attaché : {f.name}]\n```\n{f.content}\n```"
-        final_content = message.content + files_text
     
-    db.add(Message(role=message.role, content=final_content, project_id=project_id))
+    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})
+
+    # On ne stocke plus le contenu brut des fichiers en DB pour éviter d'exploser le contexte des requêtes suivantes
+    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 des données de fichiers en mémoire vive à l'orchestrateur (Map-Reduce)
+    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()

backend/orchestrator.py

@@ -16,10 +16,9 @@ def determine_domain(model_id: str) -> str:
     return "Texte Polyvalent"
 
 async def translate_en_to_fr(client: httpx.AsyncClient, text: str) -> str:
-    """Traduit automatiquement l'anglais vers le français via l'API publique Google Translate."""
     if not text: return "Aucune description fournie."
     try:
-        short_text = text[:300].strip() # Limite stricte pour l'API gratuite
+        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:
@@ -141,7 +140,6 @@ async def sync_providers_models(db: Session, settings: SystemSettings, sync_type
                         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}
             except Exception: pass
 
-    # Phase de traduction asynchrone pour les modèles OpenRouter (les autres sont déjà en français natif)
     sem = asyncio.Semaphore(15)
     async def process_and_translate(m_id, data, client_session):
         async with sem:
@@ -199,17 +197,39 @@ async def ask_agent(client, model_id, messages, provider="openrouter"):
     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:
-        # Étape 1 : Le prompteur traduit et optimise la requête en ANGLAIS pour les travailleurs
+        p_mod = config.get("prompter")
-        p_mod = config.get("prompter", "gemini-3.5-flash-lite")
+        if not p_mod: p_mod = "gemini-3.5-flash-lite"
+        
         p_client, p_prov = get_client_for_model(db, p_mod, settings)
-        prompt_system = "You are an expert prompt engineer. Translate and optimize the user request into clear, precise English tailored for AI execution."
+
+        # --- WORKFLOW MAP-REDUCE : PRÉ-TRAITEMENT PARALLÈLE DES FICHIERS ---
+        files_context = ""
+        if extracted_files:
+            async def process_single_file(f):
+                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{f['content']}\n```"
+                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."
+                try:
+                    analysis = await ask_agent(p_client, p_mod, [{"role": "system", "content": file_sys}, {"role": "user", "content": file_prompt}], p_prov)
+                    return f"\n\n--- Extraction du fichier {f['name']} ---\n{analysis}"
+                except Exception as e:
+                    return f"\n\n--- Erreur sur {f['name']} ---\n{str(e)}"
+
+            file_tasks = [process_single_file(f) for f in extracted_files]
+            file_analyses = await asyncio.gather(*file_tasks)
+            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 ---
+        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)
 
         if len(workers) == 1:
@@ -224,8 +244,9 @@ async def run_orchestrator(db: Session, history: list, settings: SystemSettings,
                 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)
 
-        # Étape 2 : Le concaténeur synthétise et traduit le retour en FRANÇAIS (en préservant le code et les commentaires)
+        c_mod = config.get("concatenator")
-        c_mod = config.get("concatenator", "gemini-3.5-flash-lite")
+        if not c_mod: c_mod = "gemini-3.5-flash-lite"
+        
         c_client, c_prov = get_client_for_model(db, c_mod, settings)
         
         concat_system = (
@@ -236,7 +257,7 @@ async def run_orchestrator(db: Session, history: list, settings: SystemSettings,
             "You may translate code comments into French if appropriate, but leave code syntax strictly intact."
         )
         
-        synth = f"User Request: {user_prompt}\n\n" + "\n".join([f"--- EXPERT {i+1} ---\n{r}" for i, r in enumerate(responses)])
+        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)
 
     except Exception as e:

frontend/dashboard.html

@@ -292,11 +292,20 @@
                     </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 (Filtre par colonne local sans impacter workers) -->
+                    <!-- 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="colPricing" class="w-full bg-aethas-dark border border-gray-700 rounded text-gray-200 text-[10px] p-1 outline-none">
@@ -306,7 +315,6 @@
                             </select>
                         </div>
 
-                        <!-- 2. TYPE (DOMAINE) (Filtre par colonne local sans impacter workers) -->
                         <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="colDomain" class="w-full bg-aethas-dark border border-gray-700 rounded text-gray-200 text-[10px] p-1 outline-none">
@@ -318,7 +326,6 @@
                             </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">
@@ -327,7 +334,6 @@
                             </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">
@@ -336,7 +342,6 @@
                             </select>
                         </div>
 
-                        <!-- 5. TRAVAILLEUR 3 -->
                         <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 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">
@@ -345,7 +350,6 @@
                             </select>
                         </div>
 
-                        <!-- 6. TRAVAILLEUR 4 -->
                         <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">
@@ -354,7 +358,6 @@
                             </select>
                         </div>
 
-                        <!-- 7. TRAVAILLEUR 5 -->
                         <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">
@@ -363,30 +366,25 @@
                             </select>
                         </div>
 
-                        <!-- 8. PROMPTEUR -->
                         <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="gemini-3.5-flash-lite">Gemini Flash</option>
+                                <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>
 
-                        <!-- 9. CONCATENEUR -->
                         <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="gemini-3.5-flash-lite">Gemini Flash</option>
+                                <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>
 
-                    <!-- Champ de texte et boutons d'envoi / multi-fichiers (jusqu'à 10) -->
+                    <!-- 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">
-                        
-                        <!-- Liste des fichiers attachés (max 10) -->
                         <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>
@@ -446,9 +444,9 @@
             const colPricing = ref("");
             const colDomain = ref("");
 
-            const workers = ref(["gemini-3.5-flash-lite", "", "", "", ""]);
+            const workers = ref(["", "", "", "", ""]);
-            const selectedPrompter = ref("gemini-3.5-flash-lite");
+            const selectedPrompter = ref("");
-            const selectedConcatenator = ref("gemini-3.5-flash-lite");
+            const selectedConcatenator = ref("");
 
             const attachedFiles = ref([]); 
 
@@ -467,14 +465,26 @@
             });
 
             const getFilteredModelsForCol = (pricingFilter, domainFilter, currentSelectedId) => {
-                return modelInfo.models.filter(m => {
+                let filtered = modelInfo.models.filter(m => {
-                    if (m.model_id === currentSelectedId) return true;
                     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) => {
@@ -502,7 +512,6 @@
                         await fetchModelsInfo(); 
                         await fetchFinances();
                         
-                        // GENERATION DU FICHIER MARKDOWN A L'EXTRACTION
                         let mdContent = `# Extraction des Modèles IA - AETHAS38\n\n`;
                         const d = new Date();
                         const dateStr = d.getFullYear() + String(d.getMonth()+1).padStart(2, '0') + String(d.getDate()).padStart(2, '0');
@@ -535,6 +544,41 @@
                 isSyncing.value = false; 
             };
 
+            const downloadTemplate = () => {
+                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;
+                const reader = new FileReader();
+                reader.onload = (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');
+
+                    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;
@@ -580,10 +624,19 @@
 
             const processFile = (file) => {
                 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 });
                 };
-                reader.readAsText(file);
+
+                // Les fichiers binaires sont lus en Base64.
+                if (isText) {
+                    reader.readAsText(file);
+                } else {
+                    reader.readAsDataURL(file);
+                }
             };
 
             const removeFile = (index) => { attachedFiles.value.splice(index, 1); };
@@ -634,10 +687,20 @@
                         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) {} finally { isAiThinking.value = false; scrollToBottom(); nextTick(()=>lucide.createIcons()); }
+                } catch (error) {
+                    alert("Erreur locale lors de l'envoi : " + error.message);
+                } finally { 
+                    isAiThinking.value = false; 
+                    scrollToBottom(); 
+                    nextTick(()=>lucide.createIcons()); 
+                }
             };
 
             const changePassword = async () => {
@@ -660,7 +723,7 @@
                 createNewProject, selectProject, renameProject, sendMessage, isLoading, togglePin, deleteProject,
                 isSettingsModalOpen, openSettings, closeSettings, passForm, settingsMessage, isSavingSettings, changePassword, uploadAvatar,
                 modelInfo, financesList, filterSearch, filterDomain, filterPricing, filteredModels, getFilteredModelsForCol, formatDate, syncModels, isSyncing,
-                workers, selectedPrompter, selectedConcatenator, colPricing, colDomain,
+                workers, selectedPrompter, selectedConcatenator, colPricing, colDomain, downloadTemplate, handleConfigImport,
                 attachedFiles, handleFileUpload, handlePaste, removeFile,
                 exportProject, copyToClipboard, downloadFile, downloadMessage, parseMessage
             };

requirements.txt

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