feat: intégration du parsing backend (PDF, Excel, VBA) et gestion sécurisée des champs prompteur/concaténeur vides dans les templates

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
 
@@ -147,7 +147,59 @@ async def create_message(project_id: int, message: MessageCreate, db: Session =
     if message.files:
         files_text = ""
         for f in message.files:
-            files_text += f"\n\n[Fichier attaché : {f.name}]\n```\n{f.content}\n```"
+            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"
+                            
+                            # Extraction des Macros VBA
+                            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 = f"[Fichier binaire non supporté textuellement : {f.name}]"
+                    
+                    files_text += f"\n\n[Fichier attaché : {f.name}]\n```text\n{extracted_text}\n```"
+                except Exception as e:
+                    files_text += f"\n\n[Fichier attaché : {f.name} - ERREUR DE DECODAGE: {str(e)}]"
+            else:
+                files_text += f"\n\n[Fichier attaché : {f.name}]\n```\n{content}\n```"
+        
         final_content = message.content + files_text
 
     db.add(Message(role=message.role, content=final_content, project_id=project_id))

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:
@@ -205,7 +204,10 @@ async def run_orchestrator(db: Session, history: list, settings: SystemSettings,
 
     final_response = ""
     try:
-        p_mod = config.get("prompter", "gemini-3.5-flash-lite")
+        # Fallback sécurisé en cas de champ vide
+        p_mod = config.get("prompter")
+        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."
         optimized = await ask_agent(p_client, p_mod, [{"role": "system", "content": prompt_system}, {"role": "user", "content": user_prompt}], p_prov)
@@ -222,7 +224,9 @@ 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)
 
-        c_mod = config.get("concatenator", "gemini-3.5-flash-lite")
+        c_mod = config.get("concatenator")
+        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 = (
@@ -233,7 +237,7 @@ 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: {user_prompt}\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: