diff --git a/backend/main.py b/backend/main.py index e68557e..25c4a2c 100644 --- a/backend/main.py +++ b/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)) diff --git a/backend/orchestrator.py b/backend/orchestrator.py index 85cd573..14bb251 100644 --- a/backend/orchestrator.py +++ b/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: diff --git a/frontend/dashboard.html b/frontend/dashboard.html index 65c25b8..7d7394c 100644 --- a/frontend/dashboard.html +++ b/frontend/dashboard.html @@ -369,7 +369,7 @@