1101 lines
38 KiB
Python
1101 lines
38 KiB
Python
import base64
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import json
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import os
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import re
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import smtplib
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import tempfile
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from email.mime.multipart import MIMEMultipart
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from email.mime.text import MIMEText
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from pathlib import Path
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from dotenv import load_dotenv
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from flask import Flask, jsonify, request, send_from_directory
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from groq import Groq
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from memory import (
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add_memory,
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add_repository,
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add_task,
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close_task,
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deactivate_client,
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get_memory_snapshot,
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init_db,
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list_clients,
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search_memory,
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upsert_client,
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upsert_project,
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)
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load_dotenv()
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ROOT = Path(__file__).resolve().parent
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STATIC_DIR = ROOT / "static"
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CONTACTS_FILE = Path(os.getenv("CONTACTS_FILE", ROOT / "contacts.json"))
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GROQ_API_KEY = os.getenv("GROQ_API_KEY", "")
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GMAIL_EMAIL = os.getenv("GMAIL_EMAIL", "")
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GMAIL_PASSWORD = os.getenv("GMAIL_PASSWORD", "")
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CHAT_MODEL = "llama-3.3-70b-versatile"
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STT_MODEL = "whisper-large-v3-turbo"
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TTS_MODEL = "canopylabs/orpheus-v1-english"
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TTS_VOICE = "troy"
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TTS_PROVIDER = os.getenv("TTS_PROVIDER", "browser").lower()
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app = Flask(__name__, static_folder=str(STATIC_DIR), static_url_path="")
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app.secret_key = os.getenv("APP_SECRET", "dev-secret-change-me")
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init_db()
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client = Groq(api_key=GROQ_API_KEY)
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histories = {}
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session_contexts = {}
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SYSTEM_PROMPT = """Tu es l'assistant personnel vocal de Laurent.
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Tu peux discuter normalement en francais et aider a envoyer des emails via Gmail.
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Quand l'utilisateur veut envoyer un email, collecte les informations manquantes :
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destinataire, sujet, contenu.
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Quand tu as toutes les informations pour envoyer un email, reponds uniquement avec ce JSON :
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{"action": "envoyer_email", "destinataire": "...", "sujet": "...", "corps": "..."}
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Quand l'utilisateur veut ajouter, memoriser ou modifier un contact email, collecte le nom et l'adresse email.
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Quand tu as les deux informations, reponds uniquement avec ce JSON :
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{"action": "ajouter_contact", "nom": "...", "email": "..."}
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Tu disposes aussi d'une memoire professionnelle persistante pour les clients, projets, taches, notes et depots Git.
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Quand l'utilisateur te demande de noter, memoriser, ajouter ou associer une information professionnelle, reponds uniquement avec un JSON.
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Actions disponibles :
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{"action": "ajouter_client", "nom": "...", "notes": "...", "statut": "actif"}
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{"action": "supprimer_client", "nom": "..."}
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{"action": "ajouter_projet", "nom": "...", "client": "...", "statut": "...", "resume": "...", "prochaine_action": "..."}
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{"action": "ajouter_tache", "titre": "...", "client": "...", "projet": "...", "details": "...", "echeance": "..."}
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{"action": "terminer_tache", "id": 123}
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{"action": "ajouter_repo", "nom": "...", "projet": "...", "chemin": "...", "url": "...", "branche": "..."}
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{"action": "ajouter_note", "contenu": "...", "sujet": "...", "client": "...", "projet": "...", "type": "note"}
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{"action": "chercher_memoire", "requete": "..."}
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{"action": "lister_clients"}
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{"action": "analyser_taches", "type": "client_plus_taches"}
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Si une phrase contient plusieurs choses a enregistrer, utilise :
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{"actions": [{...}, {...}]}
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Quand l'utilisateur demande ce que tu sais d'un client, d'un projet, d'une tache ou d'un depot, utilise chercher_memoire.
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Si l'utilisateur dit "pour CLIENT" en ajoutant une tache, renseigne toujours le champ client avec CLIENT.
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Pour tout le reste, reponds en francais naturel, avec des phrases courtes.
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N'utilise pas d'anglais sauf si l'utilisateur le demande explicitement.
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En mode voiture, sois bref : une ou deux phrases maximum."""
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ROUTER_PROMPT = """Tu es le routeur d'intention de l'assistant personnel de Laurent.
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Ton role est de comparer le message utilisateur avec la liste des actions disponibles et le contexte fourni.
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Reponds uniquement avec un JSON valide, sans markdown.
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Format obligatoire :
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{
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"type": "action" | "answer" | "clarification",
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"confidence": 0.0,
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"action": null | {"action": "..."} | {"actions": [{"action": "..."}]},
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"reply": "",
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"question": ""
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}
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Actions disponibles :
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- envoyer_email: {"action":"envoyer_email","destinataire":"...","sujet":"...","corps":"..."}
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- ajouter_contact: {"action":"ajouter_contact","nom":"...","email":"..."}
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- ajouter_client: {"action":"ajouter_client","nom":"...","notes":"...","statut":"actif"}
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- supprimer_client: {"action":"supprimer_client","nom":"..."}
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- ajouter_projet: {"action":"ajouter_projet","nom":"...","client":"...","statut":"...","resume":"...","prochaine_action":"..."}
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- ajouter_tache: {"action":"ajouter_tache","titre":"...","client":"...","projet":"...","details":"...","echeance":"..."}
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- terminer_tache: {"action":"terminer_tache","id":123}
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- ajouter_repo: {"action":"ajouter_repo","nom":"...","projet":"...","chemin":"...","url":"...","branche":"..."}
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- ajouter_note: {"action":"ajouter_note","contenu":"...","sujet":"...","client":"...","projet":"...","type":"note"}
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- chercher_memoire: {"action":"chercher_memoire","requete":"..."}
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- lister_clients: {"action":"lister_clients"}
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- analyser_taches: {"action":"analyser_taches","type":"client_plus_taches"}
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Regles :
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- Choisis une action seulement si l'intention et les arguments sont clairs.
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- Si plusieurs actions sont necessaires, utilise {"actions":[...]}.
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- Si l'utilisateur demande une modification mais que la cible est ambigue, type="clarification".
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- Si l'utilisateur pose une question generale et que le contexte suffit, type="answer" et reponds directement.
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- Si une action de lecture convient mieux qu'une reponse libre, type="action".
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- Si aucune action ne correspond, type="answer".
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- confidence >= 0.80 pour executer une action sans confirmation.
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- confidence entre 0.45 et 0.79 : type="clarification".
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- N'invente pas d'information absente du contexte. Si la demande porte sur une categorie inconnue, demande une precision.
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- Pour "nouveaux clients", ne suppose pas que tous les clients sont nouveaux. Demande si Laurent veut les derniers ajoutes, tous les clients, ou une notion precise de nouveau.
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- Pour supprimer/terminer une tache, utilise l'id si le contexte de conversation contient les dernieres taches affichees.
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- Pour retirer/enlever/supprimer un client de la liste, utilise supprimer_client.
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- Pour "quel client a le plus de taches", utilise analyser_taches.
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"""
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def charger_contacts():
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try:
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return json.loads(CONTACTS_FILE.read_text(encoding="utf-8"))
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except FileNotFoundError:
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return {"laurent": "barontil@hotmail.com"}
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def sauvegarder_contacts(contacts):
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CONTACTS_FILE.parent.mkdir(parents=True, exist_ok=True)
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CONTACTS_FILE.write_text(
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json.dumps(contacts, ensure_ascii=False, indent=2) + "\n",
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encoding="utf-8",
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)
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def construire_system_prompt(session_id=None):
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contacts = charger_contacts()
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lignes = [f"- {nom.title()} : {email}" for nom, email in contacts.items()]
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return (
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SYSTEM_PROMPT
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+ "\n\nContacts connus :\n"
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+ "\n".join(lignes)
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+ "\n\nMemoire professionnelle actuelle :\n"
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+ construire_contexte_memoire(session_id)
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)
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def construire_contexte_memoire(session_id=None):
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snapshot = get_memory_snapshot()
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contexte = session_contexts.get(session_id or "", {})
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lignes = []
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clients_mem = snapshot["clients"]
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if clients_mem:
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lignes.append("Clients connus et taches ouvertes :")
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for client_mem in clients_mem:
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lignes.append(f"- {client_mem['name']} : {client_mem['open_task_count']} tache(s) ouverte(s)")
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else:
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lignes.append("Aucun client connu.")
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if snapshot["tasks"]:
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lignes.append("Taches ouvertes recentes :")
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for tache in snapshot["tasks"][:15]:
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sujet = tache.get("client_name") or tache.get("project_name") or "general"
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lignes.append(f"- #{tache['id']} {sujet} : {tache['title']}")
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if snapshot["projects"]:
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lignes.append("Projets recents :")
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for projet in snapshot["projects"][:10]:
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client_nom = projet.get("client_name") or "sans client"
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statut = projet.get("status") or "actif"
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lignes.append(f"- {projet['name']} ({client_nom}) : {statut}")
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if snapshot["repositories"]:
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lignes.append("Depots Git associes :")
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for repo in snapshot["repositories"][:10]:
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cible = repo.get("project_name") or "sans projet"
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chemin = repo.get("local_path") or repo.get("remote_url") or "chemin non renseigne"
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lignes.append(f"- {repo['name']} -> {cible} : {chemin}")
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if contexte:
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lignes.append("Contexte de la conversation en cours :")
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if contexte.get("last_client"):
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lignes.append(f"- dernier client mentionne : {contexte['last_client']}")
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if contexte.get("last_project"):
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lignes.append(f"- dernier projet mentionne : {contexte['last_project']}")
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if contexte.get("tasks"):
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ids = ", ".join(f"#{tache['id']} {tache['title']}" for tache in contexte["tasks"][:5])
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lignes.append(f"- dernieres taches affichees : {ids}")
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lignes.append(
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"Utilise ce contexte pour repondre aux questions globales. "
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"Pour modifier la memoire, reponds avec une action JSON."
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)
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return "\n".join(lignes)
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def resoudre_contact(destinataire):
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contacts = charger_contacts()
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valeur = destinataire.strip()
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return contacts.get(valeur.lower(), valeur)
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def extraire_action(reponse):
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decodeur = json.JSONDecoder()
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for index, caractere in enumerate(reponse):
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if caractere != "{":
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continue
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try:
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data, _ = decodeur.raw_decode(reponse[index:])
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except json.JSONDecodeError:
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continue
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if isinstance(data, dict) and (data.get("action") in ACTIONS or isinstance(data.get("actions"), list)):
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return data
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return None
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ACTIONS = {
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"envoyer_email",
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"ajouter_contact",
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"ajouter_client",
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"supprimer_client",
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"ajouter_projet",
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"ajouter_tache",
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"terminer_tache",
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"ajouter_repo",
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"ajouter_note",
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"chercher_memoire",
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"lister_clients",
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"analyser_taches",
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}
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def ajouter_contact(nom, email):
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contacts = charger_contacts()
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nom_normalise = " ".join(nom.strip().lower().split())
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email_normalise = email.strip()
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if not nom_normalise or "@" not in email_normalise:
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raise ValueError("Contact incomplet")
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contacts[nom_normalise] = email_normalise
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sauvegarder_contacts(contacts)
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return nom_normalise, email_normalise
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def envoyer_email(destinataire, sujet, corps):
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destinataire = resoudre_contact(destinataire)
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msg = MIMEMultipart()
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msg["From"] = GMAIL_EMAIL
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msg["To"] = destinataire
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msg["Subject"] = sujet
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msg.attach(MIMEText(corps, "plain", "utf-8"))
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with smtplib.SMTP("smtp.gmail.com", 587) as serveur:
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serveur.starttls()
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serveur.login(GMAIL_EMAIL, GMAIL_PASSWORD)
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serveur.sendmail(GMAIL_EMAIL, destinataire, msg.as_string())
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return destinataire
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def demander_au_llm(session_id, texte):
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historique = histories.setdefault(session_id, [])
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historique.append({"role": "user", "content": texte})
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del historique[:-20]
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reponse = client.chat.completions.create(
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model=CHAT_MODEL,
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messages=[{"role": "system", "content": construire_system_prompt(session_id)}] + historique,
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temperature=0.45,
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max_tokens=900,
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)
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contenu = reponse.choices[0].message.content
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historique.append({"role": "assistant", "content": contenu})
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return contenu
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def router_intention(session_id, texte):
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historique = histories.get(session_id, [])[-12:]
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messages = [
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{"role": "system", "content": ROUTER_PROMPT},
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{
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"role": "system",
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"content": (
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"Contexte disponible pour router la demande :\n"
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+ construire_contexte_routeur(session_id)
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),
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},
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] + historique + [{"role": "user", "content": texte}]
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reponse = client.chat.completions.create(
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model=CHAT_MODEL,
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messages=messages,
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temperature=0.0,
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max_tokens=700,
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)
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contenu = reponse.choices[0].message.content or ""
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data = extraire_json_routeur(contenu)
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if not data:
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return {
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"type": "answer",
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"confidence": 0.0,
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"action": None,
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"reply": contenu.strip() or "Je n'ai pas compris. Tu peux reformuler ?",
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"question": "",
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}
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return normaliser_decision_routeur(data)
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def construire_contexte_routeur(session_id=None):
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contacts = charger_contacts()
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contacts_connus = "\n".join(f"- {nom.title()} : {email}" for nom, email in contacts.items())
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return (
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"Contacts email connus :\n"
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+ (contacts_connus or "- aucun")
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+ "\n\nMemoire professionnelle actuelle :\n"
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+ construire_contexte_memoire(session_id)
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)
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def extraire_json_routeur(contenu):
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decodeur = json.JSONDecoder()
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for index, caractere in enumerate(contenu):
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if caractere != "{":
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continue
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try:
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data, _ = decodeur.raw_decode(contenu[index:])
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except json.JSONDecodeError:
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continue
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if isinstance(data, dict):
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return data
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return None
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def normaliser_decision_routeur(data):
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type_decision = data.get("type") or "answer"
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if type_decision not in {"action", "answer", "clarification"}:
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type_decision = "answer"
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try:
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confidence = float(data.get("confidence", 0))
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except (TypeError, ValueError):
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confidence = 0.0
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confidence = max(0.0, min(1.0, confidence))
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action = data.get("action")
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if isinstance(action, dict) and not action_valide(action):
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action = None
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if type_decision == "action" and (confidence < 0.80 or not action):
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type_decision = "clarification"
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return {
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"type": type_decision,
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"confidence": confidence,
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"action": action,
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"reply": str(data.get("reply") or "").strip(),
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"question": str(data.get("question") or "").strip(),
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}
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def action_valide(action):
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if action.get("action") in ACTIONS:
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return True
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actions = action.get("actions")
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if isinstance(actions, list) and actions:
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return all(isinstance(item, dict) and item.get("action") in ACTIONS for item in actions)
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return False
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def detecter_action_directe(texte, session_id=None):
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texte_nettoye = texte.strip()
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texte_min = texte_nettoye.lower()
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clients_a_ajouter = extraire_liste_clients(texte_nettoye)
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if clients_a_ajouter:
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return {
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"actions": [
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{
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"action": "ajouter_client",
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"nom": nom,
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"notes": "Ajoute depuis une liste fournie par Laurent.",
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"statut": "actif",
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}
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for nom in clients_a_ajouter
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]
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}
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suppression_client = detecter_suppression_client(texte_nettoye)
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if suppression_client:
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return suppression_client
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analyse_taches = detecter_analyse_taches(texte_nettoye)
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if analyse_taches:
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return analyse_taches
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tache_client = detecter_tache_client(texte_nettoye)
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if tache_client:
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return tache_client
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recherche_taches = detecter_recherche_taches(texte_nettoye)
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if recherche_taches:
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return recherche_taches
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suppression_tache = detecter_suppression_tache(texte_nettoye, session_id)
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if suppression_tache:
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return suppression_tache
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recherche_match = re.search(
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r"(?:qu(?:'| )?est[- ]?ce que tu sais sur|que sais[- ]?tu sur|cherche dans la memoire|memoire sur)\s+(.+)",
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texte_nettoye,
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flags=re.IGNORECASE,
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)
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if recherche_match:
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return {
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"action": "chercher_memoire",
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"requete": recherche_match.group(1).strip(" ?.,;:"),
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}
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if detecter_liste_clients_demandee(texte_min):
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return {"action": "lister_clients"}
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if re.search(r"\b(liste|affiche|montre)\b.*\b(projets?|taches?|repos?|depots?)\b", texte_min):
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return {"action": "chercher_memoire", "requete": ""}
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repo_match = re.search(
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r"(?:associe|ajoute|note)\s+(?:le\s+)?repo\s+(\S+)(?:\s+au\s+projet\s+(.+))?",
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texte_nettoye,
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flags=re.IGNORECASE,
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)
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if repo_match:
|
|
chemin_ou_url = repo_match.group(1).strip(" .,;:")
|
|
projet = (repo_match.group(2) or "").strip(" .,;:")
|
|
return {
|
|
"action": "ajouter_repo",
|
|
"chemin": chemin_ou_url if not chemin_ou_url.startswith(("http://", "https://", "git@")) else "",
|
|
"url": chemin_ou_url if chemin_ou_url.startswith(("http://", "https://", "git@")) else "",
|
|
"projet": projet,
|
|
}
|
|
|
|
client_match = re.search(
|
|
r"\b([A-Z0-9][A-Z0-9&.\- ]{2,})\s+est\s+(?:un|une)\s+nouveau\s+client\b",
|
|
texte_nettoye,
|
|
flags=re.IGNORECASE,
|
|
)
|
|
if not client_match:
|
|
return None
|
|
|
|
nom_client = client_match.group(1).strip(" .,;:")
|
|
actions = [
|
|
{
|
|
"action": "ajouter_client",
|
|
"nom": nom_client,
|
|
"notes": texte_nettoye,
|
|
"statut": "actif",
|
|
}
|
|
]
|
|
|
|
rappel_match = re.search(
|
|
r"(?:je\s+dois\s+|il\s+faut\s+|note\s+(?:quelque\s+part\s+)?que\s+je\s+dois\s+)(rappeler\s+.+)",
|
|
texte_nettoye,
|
|
flags=re.IGNORECASE,
|
|
)
|
|
if rappel_match:
|
|
actions.append(
|
|
{
|
|
"action": "ajouter_tache",
|
|
"titre": rappel_match.group(1).strip(" .,;:"),
|
|
"client": nom_client,
|
|
"details": texte_nettoye,
|
|
}
|
|
)
|
|
|
|
return {"actions": actions}
|
|
|
|
|
|
def detecter_tache_client(texte):
|
|
if not re.search(r"\b(note|notes|noter|tache|doit|dois|a faire|à faire)\b", texte, flags=re.IGNORECASE):
|
|
return None
|
|
|
|
match = re.search(
|
|
r"\bpour\s+(?:mon\s+client\s+|le\s+client\s+)?([A-Z0-9][A-Z0-9&.\- ]{1,40}?)[,\s]+(?:on\s+)?(?:doit|dois|devra|faut)\s+(.+?)(?:\s+tu\s+peux\s+noter.*|\s+note.*|\s+notes.*|\s*$)",
|
|
texte,
|
|
flags=re.IGNORECASE,
|
|
)
|
|
if not match:
|
|
return None
|
|
|
|
client_nom = nettoyer_nom_client(match.group(1))
|
|
titre = nettoyer_titre_tache(match.group(2))
|
|
if not client_nom or not titre:
|
|
return None
|
|
|
|
return {
|
|
"action": "ajouter_tache",
|
|
"titre": titre,
|
|
"client": client_nom,
|
|
"details": texte,
|
|
}
|
|
|
|
|
|
def detecter_suppression_client(texte):
|
|
if not re.search(r"\b(enleve|enlève|supprime|retire|efface|desactive|désactive)\b", texte, flags=re.IGNORECASE):
|
|
return None
|
|
if re.search(r"\btaches?\b|\bprojets?\b|\brepos?\b|\bdepots?\b|\bdépôts?\b", texte, flags=re.IGNORECASE):
|
|
return None
|
|
|
|
match = re.search(
|
|
r"\b(?:enleve|enlève|supprime|retire|efface|desactive|désactive)\s+(?:le\s+client\s+|client\s+)?(.+?)(?:\s+(?:de|dans)\s+(?:la\s+)?liste.*)?$",
|
|
texte,
|
|
flags=re.IGNORECASE,
|
|
)
|
|
if not match:
|
|
return None
|
|
|
|
nom = nettoyer_nom_client(match.group(1))
|
|
if not nom:
|
|
return None
|
|
return {"action": "supprimer_client", "nom": nom}
|
|
|
|
|
|
def detecter_recherche_taches(texte):
|
|
if re.search(
|
|
r"\b(pour\s+quel\s+client|quel\s+client|plus\s+de\s+taches?|plus\s+de\s+tâches?|combien|classement|top)\b",
|
|
texte,
|
|
flags=re.IGNORECASE,
|
|
):
|
|
return None
|
|
|
|
match = re.search(
|
|
r"\b(?:que\s+dois[- ]?je\s+faire|quoi\s+faire|taches?|a faire|à faire)\b.*\b(?:pour|sur)\s+(?:mon\s+client\s+|le\s+client\s+)?([A-Z0-9][A-Z0-9&.\- ]{1,40})",
|
|
texte,
|
|
flags=re.IGNORECASE,
|
|
)
|
|
if not match:
|
|
return None
|
|
client_nom = nettoyer_nom_client(match.group(1))
|
|
if not client_nom:
|
|
return None
|
|
return {"action": "chercher_memoire", "requete": client_nom}
|
|
|
|
|
|
def detecter_analyse_taches(texte):
|
|
if not re.search(r"\bclients?\b", texte, flags=re.IGNORECASE):
|
|
return None
|
|
if not re.search(r"\b(taches?|tâches?|a faire|à faire|reste)\b", texte, flags=re.IGNORECASE):
|
|
return None
|
|
if re.search(
|
|
r"\b(plus\s+de|le\s+plus|maximum|max|prioritaire|charge|chargé|chargee|chargée)\b",
|
|
texte,
|
|
flags=re.IGNORECASE,
|
|
):
|
|
return {"action": "analyser_taches", "type": "client_plus_taches"}
|
|
return None
|
|
|
|
|
|
def detecter_suppression_tache(texte, session_id):
|
|
if not re.search(r"\b(enleve|enlève|supprime|retire|efface|termine|marque.*faite)\b", texte, flags=re.IGNORECASE):
|
|
return None
|
|
if not re.search(r"\btaches?\b", texte, flags=re.IGNORECASE):
|
|
return None
|
|
|
|
contexte = session_contexts.get(session_id or "", {})
|
|
taches = contexte.get("tasks") or []
|
|
if not taches:
|
|
return None
|
|
|
|
client_match = re.search(
|
|
r"\b(?:pour|sur)\s+(?:mon\s+client\s+|le\s+client\s+)?([A-Z0-9][A-Z0-9&.\- ]{1,40})",
|
|
texte,
|
|
flags=re.IGNORECASE,
|
|
)
|
|
client_nom = nettoyer_nom_client(client_match.group(1)) if client_match else contexte.get("last_client", "")
|
|
candidates = [
|
|
tache for tache in taches
|
|
if not client_nom or (tache.get("client_name") or "").lower() == client_nom.lower()
|
|
]
|
|
if not candidates:
|
|
candidates = taches
|
|
|
|
if re.search(r"\b(derniere|dernière|dernier|derniere affichee|dernière affichée)\b", texte, flags=re.IGNORECASE):
|
|
task_id = candidates[-1].get("id")
|
|
else:
|
|
task_id = candidates[0].get("id") if len(candidates) == 1 else None
|
|
|
|
if not task_id:
|
|
return None
|
|
return {"action": "terminer_tache", "id": task_id}
|
|
|
|
|
|
def detecter_liste_clients_demandee(texte_min):
|
|
if not re.search(r"\bclients?\b", texte_min):
|
|
return False
|
|
return bool(
|
|
re.search(r"\b(liste|affiche|montre|donne)\b.*\bclients?\b", texte_min)
|
|
or re.search(r"\bclients?\b.*\b(liste|affiche|montre|donne)\b", texte_min)
|
|
or re.search(r"\b(quels?|qui)\s+sont\b.*\bclients?\b", texte_min)
|
|
or re.search(r"\btous\s+mes\s+clients?\b", texte_min)
|
|
or re.search(r"\bmes\s+clients?\b", texte_min)
|
|
)
|
|
|
|
|
|
def extraire_liste_clients(texte):
|
|
if not re.search(r"\bclients?\b", texte, flags=re.IGNORECASE):
|
|
return []
|
|
if not re.search(r"\b(voici|liste|note|notes|noter|memorise|ajoute|ajoutes)\b", texte, flags=re.IGNORECASE):
|
|
return []
|
|
|
|
lignes = [ligne.strip(" -\t\r.,;") for ligne in texte.splitlines()]
|
|
candidats = []
|
|
apres_entete = False
|
|
|
|
for ligne in lignes:
|
|
if not ligne:
|
|
continue
|
|
ligne_min = ligne.lower()
|
|
if "client" in ligne_min:
|
|
apres_entete = True
|
|
apres_deux_points = ligne.split(":", 1)[1].strip() if ":" in ligne else ""
|
|
if apres_deux_points:
|
|
candidats.extend(separer_noms_clients(apres_deux_points))
|
|
continue
|
|
if not apres_entete:
|
|
continue
|
|
if re.search(r"\b(note|notes|noter|quelque part|merci|stp|s'il te plait)\b", ligne_min):
|
|
continue
|
|
candidats.extend(separer_noms_clients(ligne))
|
|
|
|
noms = []
|
|
deja_vus = set()
|
|
for candidat in candidats:
|
|
nom = nettoyer_nom_client(candidat)
|
|
if not nom:
|
|
continue
|
|
cle = nom.lower()
|
|
if cle not in deja_vus:
|
|
noms.append(nom)
|
|
deja_vus.add(cle)
|
|
return noms
|
|
|
|
|
|
def separer_noms_clients(texte):
|
|
morceaux = re.split(r"[,;/]|\s+\bet\b\s+", texte)
|
|
return [morceau.strip() for morceau in morceaux if morceau.strip()]
|
|
|
|
|
|
def nettoyer_nom_client(nom):
|
|
nom = nom.strip(" -\t\r.,;:")
|
|
nom = re.sub(
|
|
r"\s+\b(je|j'ai|j ai|stp|svp|s'il te plait|s'il te plaît|merci)\b.*$",
|
|
"",
|
|
nom,
|
|
flags=re.IGNORECASE,
|
|
).strip(" -\t\r.,;:")
|
|
if not nom or len(nom) < 2:
|
|
return ""
|
|
if re.search(r"\b(liste|clients?|voici|note|notes|noter|quelque|part)\b", nom, flags=re.IGNORECASE):
|
|
return ""
|
|
if len(nom.split()) > 4:
|
|
return ""
|
|
return nom
|
|
|
|
|
|
def nettoyer_titre_tache(titre):
|
|
titre = titre.strip(" -\t\r.,;:?")
|
|
titre = re.sub(r"^de\s+", "", titre, flags=re.IGNORECASE)
|
|
titre = re.sub(r"\s+", " ", titre)
|
|
return titre[:1].upper() + titre[1:] if titre else ""
|
|
|
|
|
|
def transcrire_audio(fichier):
|
|
suffix = Path(fichier.filename or "voice.webm").suffix or ".webm"
|
|
with tempfile.NamedTemporaryFile(delete=False, suffix=suffix) as tmp:
|
|
fichier.save(tmp)
|
|
chemin = tmp.name
|
|
|
|
try:
|
|
with open(chemin, "rb") as audio:
|
|
transcription = client.audio.transcriptions.create(
|
|
model=STT_MODEL,
|
|
file=audio,
|
|
language="fr",
|
|
response_format="text",
|
|
)
|
|
return transcription if isinstance(transcription, str) else transcription.text
|
|
finally:
|
|
try:
|
|
os.remove(chemin)
|
|
except OSError:
|
|
pass
|
|
|
|
|
|
def generer_audio(texte):
|
|
texte = texte.strip()
|
|
if len(texte) > 900:
|
|
texte = texte[:897] + "..."
|
|
|
|
reponse_audio = client.audio.speech.create(
|
|
model=TTS_MODEL,
|
|
voice=TTS_VOICE,
|
|
input=texte,
|
|
response_format="wav",
|
|
speed=1.0,
|
|
)
|
|
|
|
with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp:
|
|
chemin = tmp.name
|
|
|
|
try:
|
|
reponse_audio.write_to_file(chemin)
|
|
audio = Path(chemin).read_bytes()
|
|
return "data:audio/wav;base64," + base64.b64encode(audio).decode("ascii")
|
|
finally:
|
|
try:
|
|
os.remove(chemin)
|
|
except OSError:
|
|
pass
|
|
|
|
|
|
def executer_action(action):
|
|
nom_action = action.get("action")
|
|
|
|
if nom_action == "envoyer_email":
|
|
destinataire = envoyer_email(action["destinataire"], action["sujet"], action["corps"])
|
|
return f"Email envoye a {destinataire}.", {"emailSent": True}
|
|
|
|
if nom_action == "ajouter_contact":
|
|
nom, email = ajouter_contact(action["nom"], action["email"])
|
|
return f"Contact ajoute : {nom.title()}.", {"contactSaved": True}
|
|
|
|
if nom_action == "ajouter_client":
|
|
client_mem = upsert_client(
|
|
action.get("nom", ""),
|
|
notes=action.get("notes", ""),
|
|
status=action.get("statut", "actif"),
|
|
)
|
|
return f"C'est note : {client_mem['name']} est dans tes clients.", {"memorySaved": True}
|
|
|
|
if nom_action == "supprimer_client":
|
|
client_mem = deactivate_client(action.get("nom", ""))
|
|
nom = action.get("nom", "").strip()
|
|
if not client_mem:
|
|
return f"Je n'ai pas trouve le client {nom} dans ta liste.", {"memoryRead": True}
|
|
return f"C'est fait : {client_mem['name']} n'apparaitra plus dans tes clients actifs.", {"memorySaved": True}
|
|
|
|
if nom_action == "ajouter_projet":
|
|
projet = upsert_project(
|
|
action.get("nom", ""),
|
|
client_name=action.get("client", ""),
|
|
status=action.get("statut", "actif"),
|
|
summary=action.get("resume", ""),
|
|
next_action=action.get("prochaine_action", ""),
|
|
)
|
|
return f"C'est note pour le projet {projet['name']}.", {"memorySaved": True}
|
|
|
|
if nom_action == "ajouter_tache":
|
|
tache = add_task(
|
|
action.get("titre", ""),
|
|
client_name=action.get("client", ""),
|
|
project_name=action.get("projet", ""),
|
|
details=action.get("details", ""),
|
|
due_at=action.get("echeance", ""),
|
|
)
|
|
return f"Tache ajoutee : {tache['title']}.", {"memorySaved": True}
|
|
|
|
if nom_action == "terminer_tache":
|
|
tache = close_task(action.get("id"))
|
|
if not tache:
|
|
return "Je n'ai pas retrouve cette tache ouverte.", {"memoryRead": True}
|
|
contexte = tache.get("client_name") or tache.get("project_name") or "memoire professionnelle"
|
|
return f"C'est fait : j'ai retire la tache {tache['title']} pour {contexte}.", {"memorySaved": True}
|
|
|
|
if nom_action == "ajouter_repo":
|
|
repo = add_repository(
|
|
action.get("nom", ""),
|
|
project_name=action.get("projet", ""),
|
|
local_path=action.get("chemin", ""),
|
|
remote_url=action.get("url", ""),
|
|
main_branch=action.get("branche", ""),
|
|
)
|
|
return f"Depot associe : {repo['name']}.", {"memorySaved": True}
|
|
|
|
if nom_action == "ajouter_note":
|
|
note = add_memory(
|
|
action.get("contenu", ""),
|
|
kind=action.get("type", "note"),
|
|
subject=action.get("sujet", ""),
|
|
client_name=action.get("client", ""),
|
|
project_name=action.get("projet", ""),
|
|
)
|
|
sujet = note["subject"] or "memoire professionnelle"
|
|
return f"C'est note dans {sujet}.", {"memorySaved": True}
|
|
|
|
if nom_action == "chercher_memoire":
|
|
resultat = search_memory(action.get("requete", ""))
|
|
return formater_memoire(resultat), {"memoryRead": True, "memoryResult": resultat, "memoryQuery": action.get("requete", "")}
|
|
|
|
if nom_action == "lister_clients":
|
|
clients_mem = list_clients()
|
|
return formater_liste_clients(clients_mem), {
|
|
"memoryRead": True,
|
|
"memoryResult": {"clients": clients_mem, "projects": [], "tasks": [], "repositories": [], "memories": []},
|
|
"memoryQuery": "",
|
|
}
|
|
|
|
if nom_action == "analyser_taches":
|
|
if action.get("type") == "client_plus_taches":
|
|
snapshot = get_memory_snapshot(limit=100)
|
|
return formater_client_plus_taches(snapshot), {
|
|
"memoryRead": True,
|
|
"memoryResult": {
|
|
"clients": snapshot["clients"],
|
|
"projects": snapshot["projects"],
|
|
"tasks": snapshot["tasks"],
|
|
"repositories": snapshot["repositories"],
|
|
"memories": [],
|
|
},
|
|
"memoryQuery": "",
|
|
}
|
|
|
|
return "", {}
|
|
|
|
|
|
def executer_actions(action_data):
|
|
actions = action_data.get("actions")
|
|
if not isinstance(actions, list):
|
|
actions = [action_data]
|
|
|
|
reponses = []
|
|
flags = {
|
|
"emailSent": False,
|
|
"contactSaved": False,
|
|
"memorySaved": False,
|
|
"memoryRead": False,
|
|
"memoryResult": None,
|
|
"memoryQuery": "",
|
|
}
|
|
actions_executees = []
|
|
for action in actions:
|
|
if not isinstance(action, dict):
|
|
continue
|
|
reponse, action_flags = executer_action(action)
|
|
actions_executees.append(action)
|
|
if reponse:
|
|
reponses.append(reponse)
|
|
for cle in ("emailSent", "contactSaved", "memorySaved", "memoryRead"):
|
|
flags[cle] = flags[cle] or bool(action_flags.get(cle))
|
|
if action_flags.get("memoryResult"):
|
|
flags["memoryResult"] = action_flags["memoryResult"]
|
|
flags["memoryQuery"] = action_flags.get("memoryQuery", "")
|
|
|
|
if actions_executees and all(action.get("action") == "ajouter_client" for action in actions_executees):
|
|
noms = [action.get("nom", "").strip() for action in actions_executees if action.get("nom", "").strip()]
|
|
if len(noms) > 1:
|
|
return f"C'est note : {len(noms)} clients ajoutes ({', '.join(noms)}).", flags
|
|
|
|
return " ".join(reponses), flags
|
|
|
|
|
|
def mettre_a_jour_contexte(session_id, texte, reponse, flags):
|
|
ajouter_echange_historique(session_id, texte, reponse)
|
|
|
|
resultat = flags.get("memoryResult")
|
|
if not resultat:
|
|
return
|
|
|
|
contexte = session_contexts.setdefault(session_id, {})
|
|
if flags.get("memoryQuery"):
|
|
contexte["last_query"] = flags["memoryQuery"]
|
|
if resultat.get("clients"):
|
|
contexte["last_client"] = resultat["clients"][0].get("name", "")
|
|
elif flags.get("memoryQuery"):
|
|
contexte["last_client"] = flags["memoryQuery"]
|
|
if resultat.get("projects"):
|
|
contexte["last_project"] = resultat["projects"][0].get("name", "")
|
|
contexte["tasks"] = resultat.get("tasks", [])
|
|
|
|
|
|
def ajouter_echange_historique(session_id, texte, reponse):
|
|
historique = histories.setdefault(session_id, [])
|
|
if not historique or historique[-1].get("content") != texte:
|
|
historique.append({"role": "user", "content": texte})
|
|
historique.append({"role": "assistant", "content": reponse})
|
|
del historique[:-20]
|
|
|
|
|
|
def formater_memoire(resultat):
|
|
lignes = []
|
|
for client_mem in resultat["clients"][:5]:
|
|
detail = f"Client : {client_mem['name']}"
|
|
if client_mem.get("notes"):
|
|
detail += f" - {client_mem['notes']}"
|
|
lignes.append(detail)
|
|
|
|
for projet in resultat["projects"][:5]:
|
|
detail = f"Projet : {projet['name']}"
|
|
if projet.get("client_name"):
|
|
detail += f" ({projet['client_name']})"
|
|
if projet.get("status"):
|
|
detail += f" - statut : {projet['status']}"
|
|
if projet.get("next_action"):
|
|
detail += f" - prochaine action : {projet['next_action']}"
|
|
lignes.append(detail)
|
|
|
|
for tache in resultat["tasks"][:5]:
|
|
contexte = tache.get("client_name") or tache.get("project_name") or "general"
|
|
lignes.append(f"Tache : {tache['title']} ({contexte})")
|
|
|
|
for repo in resultat["repositories"][:5]:
|
|
chemin = repo.get("local_path") or repo.get("remote_url") or "chemin non renseigne"
|
|
lignes.append(f"Depot : {repo['name']} - {chemin}")
|
|
|
|
for note in resultat["memories"][:5]:
|
|
sujet = note.get("subject") or note.get("client_name") or note.get("project_name") or "note"
|
|
lignes.append(f"Note : {sujet} - {note['content']}")
|
|
|
|
if not lignes:
|
|
return "Je n'ai rien trouve dans la memoire professionnelle."
|
|
return "Voici ce que j'ai trouve :\n" + "\n".join(f"- {ligne}" for ligne in lignes[:10])
|
|
|
|
|
|
def formater_liste_clients(clients_mem):
|
|
if not clients_mem:
|
|
return "Je n'ai encore aucun client dans la memoire professionnelle."
|
|
noms = [client_mem["name"] for client_mem in clients_mem]
|
|
return "Voici tes clients :\n" + "\n".join(f"- {nom}" for nom in noms)
|
|
|
|
|
|
def formater_client_plus_taches(snapshot):
|
|
clients_avec_taches = [
|
|
client_mem for client_mem in snapshot["clients"]
|
|
if int(client_mem.get("open_task_count") or 0) > 0
|
|
]
|
|
if not clients_avec_taches:
|
|
return "Tu n'as aucune tache ouverte dans la memoire professionnelle."
|
|
|
|
max_count = max(int(client_mem["open_task_count"]) for client_mem in clients_avec_taches)
|
|
premiers = [
|
|
client_mem["name"] for client_mem in clients_avec_taches
|
|
if int(client_mem["open_task_count"]) == max_count
|
|
]
|
|
lignes = [
|
|
f"{client_mem['name']} : {client_mem['open_task_count']} tache(s)"
|
|
for client_mem in sorted(
|
|
clients_avec_taches,
|
|
key=lambda item: (-int(item["open_task_count"]), item["name"].lower()),
|
|
)
|
|
]
|
|
if len(premiers) == 1:
|
|
intro = f"Le client avec le plus de taches ouvertes est {premiers[0]} avec {max_count} tache(s)."
|
|
else:
|
|
intro = f"Les clients avec le plus de taches ouvertes sont {', '.join(premiers)} avec {max_count} tache(s) chacun."
|
|
return intro + "\n" + "\n".join(f"- {ligne}" for ligne in lignes)
|
|
|
|
|
|
def traiter_message(session_id, texte, avec_audio=False):
|
|
action_confirmee = recuperer_action_confirmee(session_id, texte)
|
|
if action_confirmee:
|
|
reponse, flags = executer_actions(action_confirmee)
|
|
mettre_a_jour_contexte(session_id, texte, reponse, flags)
|
|
audio_url = generer_audio(reponse) if avec_audio and TTS_PROVIDER == "groq" else None
|
|
return {
|
|
"reply": reponse,
|
|
"audioUrl": audio_url,
|
|
"emailSent": flags["emailSent"],
|
|
"contactSaved": flags["contactSaved"],
|
|
"memorySaved": flags["memorySaved"],
|
|
"memoryRead": flags["memoryRead"],
|
|
}
|
|
|
|
decision = router_intention(session_id, texte)
|
|
flags = {
|
|
"emailSent": False,
|
|
"contactSaved": False,
|
|
"memorySaved": False,
|
|
"memoryRead": False,
|
|
"memoryResult": None,
|
|
"memoryQuery": "",
|
|
}
|
|
|
|
if decision["type"] == "action":
|
|
reponse, flags = executer_actions(decision["action"])
|
|
mettre_a_jour_contexte(session_id, texte, reponse, flags)
|
|
elif decision["type"] == "clarification":
|
|
reponse = decision["question"] or decision["reply"] or "Tu peux préciser ce que tu veux que je fasse ?"
|
|
if decision.get("action"):
|
|
session_contexts.setdefault(session_id, {})["pending_action"] = decision["action"]
|
|
ajouter_echange_historique(session_id, texte, reponse)
|
|
else:
|
|
reponse = decision["reply"]
|
|
if not reponse:
|
|
reponse = demander_au_llm(session_id, texte)
|
|
else:
|
|
ajouter_echange_historique(session_id, texte, reponse)
|
|
|
|
audio_url = None
|
|
if avec_audio and TTS_PROVIDER == "groq":
|
|
audio_url = generer_audio(reponse)
|
|
|
|
return {
|
|
"reply": reponse,
|
|
"audioUrl": audio_url,
|
|
"emailSent": flags["emailSent"],
|
|
"contactSaved": flags["contactSaved"],
|
|
"memorySaved": flags["memorySaved"],
|
|
"memoryRead": flags["memoryRead"],
|
|
}
|
|
|
|
|
|
def recuperer_action_confirmee(session_id, texte):
|
|
contexte = session_contexts.get(session_id, {})
|
|
pending_action = contexte.get("pending_action")
|
|
if not pending_action:
|
|
return None
|
|
|
|
texte_min = texte.strip().lower()
|
|
if re.fullmatch(r"(oui|yes|ok|d'accord|vas-y|confirme|c'est ca|c'est ça|exact|tout a fait|tout à fait)[\s.!?]*", texte_min):
|
|
contexte.pop("pending_action", None)
|
|
return pending_action
|
|
if re.fullmatch(r"(non|no|annule|stop|laisse tomber|pas ca|pas ça)[\s.!?]*", texte_min):
|
|
contexte.pop("pending_action", None)
|
|
return None
|
|
return None
|
|
|
|
|
|
@app.get("/")
|
|
def index():
|
|
return send_from_directory(STATIC_DIR, "index.html")
|
|
|
|
|
|
@app.get("/health")
|
|
def health():
|
|
return jsonify({"ok": True})
|
|
|
|
|
|
@app.post("/api/chat")
|
|
def chat():
|
|
data = request.get_json(force=True)
|
|
texte = (data.get("text") or "").strip()
|
|
session_id = data.get("sessionId") or "default"
|
|
avec_audio = bool(data.get("withAudio"))
|
|
|
|
if not texte:
|
|
return jsonify({"error": "Message vide"}), 400
|
|
|
|
try:
|
|
return jsonify(traiter_message(session_id, texte, avec_audio))
|
|
except Exception as e:
|
|
print(f"Erreur /api/chat : {e}", flush=True)
|
|
return jsonify({"error": str(e)}), 500
|
|
|
|
|
|
@app.post("/api/voice")
|
|
def voice():
|
|
fichier = request.files.get("audio")
|
|
session_id = request.form.get("sessionId") or "default"
|
|
avec_audio = request.form.get("withAudio", "false").lower() == "true"
|
|
|
|
if not fichier:
|
|
return jsonify({"error": "Audio manquant"}), 400
|
|
|
|
try:
|
|
texte = transcrire_audio(fichier).strip()
|
|
resultat = traiter_message(session_id, texte, avec_audio=avec_audio)
|
|
resultat["transcript"] = texte
|
|
return jsonify(resultat)
|
|
except Exception as e:
|
|
print(f"Erreur /api/voice : {e}", flush=True)
|
|
return jsonify({"error": str(e)}), 500
|
|
|
|
|
|
@app.post("/api/reset")
|
|
def reset():
|
|
data = request.get_json(silent=True) or {}
|
|
session_id = data.get("sessionId") or "default"
|
|
histories.pop(session_id, None)
|
|
session_contexts.pop(session_id, None)
|
|
return jsonify({"ok": True})
|
|
|
|
|
|
if __name__ == "__main__":
|
|
app.run(
|
|
host="0.0.0.0",
|
|
port=int(os.getenv("PORT", "8080")),
|
|
debug=os.getenv("FLASK_DEBUG", "0") == "1",
|
|
)
|