maj auto 3

ai_engine.py

@@ -1,33 +0,0 @@
-import os
-from dotenv import load_dotenv
-from openai import OpenAI
-from groq import Groq
-from google import genai
-
-# Chargement des variables d'environnement en premier
-load_dotenv()
-
-local_client = OpenAI(base_url="http://192.168.1.20:11434/v1", api_key="ollama")
-groq_client = Groq(api_key=os.getenv("GROQ_API_KEY"))
-gemini_client = genai.Client(api_key=os.getenv("GEMINI_API_KEY"))
-
-def interroger_gemini_cascade(prompt):
-    modeles_a_tester = ["gemini-3.1-pro-preview", "gemini-3.1-pro", "gemini-2.5-pro", "gemini-3.7-flash", "gemini-3.6-flash"]
-    for nom_modele in modeles_a_tester:
-        try:
-            config = {"system_instruction": "Réponds toujours dans la langue de l'utilisateur. Utilise exclusivement le format Markdown pour les tableaux et la mise en forme. N'utilise JAMAIS de code LaTeX."}
-            chat = gemini_client.chats.create(model=nom_modele, config=config)
-            ia_response = chat.send_message(prompt)
-            if not ia_response.text:
-                raise Exception("Réponse vide de Google.")
-            return ia_response.text, nom_modele 
-        except Exception:
-            continue 
-    raise Exception("Tous les modèles Gemini sont indisponibles actuellement.")
-
-def appeler_groq_api(prompt_text):
-    resp = groq_client.chat.completions.create(
-        messages=[{"role": "system", "content": "Réponds dans la langue de l'utilisateur. Tu as accès aux recherches web fournies. Utilise uniquement Markdown. Pas de code LaTeX."}, {"role": "user", "content": prompt_text}], 
-        model="llama-3.3-70b-versatile"
-    )
-    return resp.choices[0].message.content, "#f97316", "GROQ", "llama-3.3-70b"

database.py

@@ -1,27 +0,0 @@
-import os
-import json
-import time
-
-HISTORY_FILE = "aethas_history.json"
-
-def load_history():
-    if not os.path.exists(HISTORY_FILE):
-        with open(HISTORY_FILE, 'w', encoding='utf-8') as f: 
-            json.dump({}, f)
-    with open(HISTORY_FILE, 'r', encoding='utf-8') as f: 
-        return json.load(f)
-
-def save_history(history):
-    with open(HISTORY_FILE, 'w', encoding='utf-8') as f: 
-        json.dump(history, f, indent=4)
-
-def nettoyer_vieilles_discussions():
-    history = load_history()
-    now = time.time()
-    un_an_en_secondes = 365 * 24 * 60 * 60
-    a_supprimer = [cid for cid, data in history.items() if not data.get('pinned', False) and now - data.get('timestamp', now) > un_an_en_secondes]
-    if a_supprimer:
-        for cid in a_supprimer: 
-            del history[cid]
-        save_history(history)
-        print(f"🧹 AETHAS CORE : Nettoyage auto terminé. {len(a_supprimer)} discussion(s) supprimée(s).")

router.py

@@ -1,14 +0,0 @@
-import json
-import re
-
-def nettoyer_decision_router(raw_text):
-    try:
-        clean = re.sub(r'```(?:json)?\s*', '', raw_text)
-        clean = clean.replace('```', '').strip()
-        start = clean.find('{')
-        end = clean.rfind('}') + 1
-        if start != -1 and end != 0:
-            return json.loads(clean[start:end])
-    except Exception:
-        pass
-    return {"intention": "Analyse", "fournisseur": "gemini"}

scraper.py

@@ -1,42 +0,0 @@
-import requests
-from bs4 import BeautifulSoup
-
-def rechercher_sur_google(requete):
-    try:
-        url = f"https://lite.duckduckgo.com/lite/"
-        data = {'q': requete}
-        headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)"}
-        resp = requests.post(url, data=data, headers=headers, timeout=5)
-        soup = BeautifulSoup(resp.text, 'html.parser')
-        
-        urls = []
-        for a in soup.find_all('a', class_='result-link', href=True):
-            href = a['href']
-            if href.startswith('http') and 'duckduckgo' not in href:
-                urls.append(href)
-            if len(urls) >= 5:
-                break
-        if not urls:
-            for a in soup.find_all('a', href=True):
-                href = a['href']
-                if href.startswith('http') and 'duckduckgo' not in href and href not in urls:
-                    urls.append(href)
-                if len(urls) >= 5:
-                    break
-        return urls[:5]
-    except Exception as e:
-        print(f"Erreur recherche web: {e}")
-        return []
-
-def extraire_contenu_urls(urls_list):
-    scraped_text = ""
-    for url in urls_list:
-        try:
-            resp = requests.get(url, timeout=5, headers={"User-Agent": "Mozilla/5.0"})
-            soup = BeautifulSoup(resp.text, 'html.parser')
-            for script in soup(["script", "style", "nav", "footer"]): 
-                script.extract()
-            scraped_text += f"\n\n--- Source web extraite ({url}) ---\n{soup.get_text(separator=' ', strip=True)[:3000]}"
-        except Exception as e:
-            scraped_text += f"\n\n[Impossible de récupérer {url}: {e}]"
-    return scraped_text

setup_modules.py

@@ -1,190 +0,0 @@
-import os
-
-# Création du dossier de rangement
-os.makedirs("modules", exist_ok=True)
-
-# 1. database.py
-with open("modules/database.py", "w", encoding="utf-8") as f:
-    f.write('''import os
-import json
-import time
-
-HISTORY_FILE = "aethas_history.json"
-
-def load_history():
-    if not os.path.exists(HISTORY_FILE):
-        with open(HISTORY_FILE, 'w', encoding='utf-8') as f: 
-            json.dump({}, f)
-    with open(HISTORY_FILE, 'r', encoding='utf-8') as f: 
-        return json.load(f)
-
-def save_history(history):
-    with open(HISTORY_FILE, 'w', encoding='utf-8') as f: 
-        json.dump(history, f, indent=4)
-
-def nettoyer_vieilles_discussions():
-    history = load_history()
-    now = time.time()
-    un_an_en_secondes = 365 * 24 * 60 * 60
-    a_supprimer = [cid for cid, data in history.items() if not data.get('pinned', False) and now - data.get('timestamp', now) > un_an_en_secondes]
-    if a_supprimer:
-        for cid in a_supprimer: 
-            del history[cid]
-        save_history(history)
-        print(f"🧹 AETHAS CORE : Nettoyage auto terminé. {len(a_supprimer)} discussion(s) supprimée(s).")
-''')
-
-# 2. scraper.py
-with open("modules/scraper.py", "w", encoding="utf-8") as f:
-    f.write('''import requests
-from bs4 import BeautifulSoup
-
-def rechercher_sur_google(requete):
-    try:
-        url = "https://lite.duckduckgo.com/lite/"
-        data = {'q': requete}
-        headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)"}
-        resp = requests.post(url, data=data, headers=headers, timeout=5)
-        soup = BeautifulSoup(resp.text, 'html.parser')
-        
-        urls = []
-        for a in soup.find_all('a', class_='result-link', href=True):
-            href = a['href']
-            if href.startswith('http') and 'duckduckgo' not in href:
-                urls.append(href)
-            if len(urls) >= 5:
-                break
-        if not urls:
-            for a in soup.find_all('a', href=True):
-                href = a['href']
-                if href.startswith('http') and 'duckduckgo' not in href and href not in urls:
-                    urls.append(href)
-                if len(urls) >= 5:
-                    break
-        return urls[:5]
-    except Exception as e:
-        print(f"Erreur recherche web: {e}")
-        return []
-
-def extraire_contenu_urls(urls_list):
-    scraped_text = ""
-    for url in urls_list:
-        try:
-            resp = requests.get(url, timeout=5, headers={"User-Agent": "Mozilla/5.0"})
-            soup = BeautifulSoup(resp.text, 'html.parser')
-            for script in soup(["script", "style", "nav", "footer"]): 
-                script.extract()
-            scraped_text += f"\\n\\n--- Source web extraite ({url}) ---\\n{soup.get_text(separator=' ', strip=True)[:3000]}"
-        except Exception as e:
-            scraped_text += f"\\n\\n[Impossible de récupérer {url}: {e}]"
-    return scraped_text
-''')
-
-# 3. ai_engine.py (Contient les clients et l'accès OpenAI)
-with open("modules/ai_engine.py", "w", encoding="utf-8") as f:
-    f.write('''import os
-from dotenv import load_dotenv
-from openai import OpenAI
-from groq import Groq
-from google import genai
-
-load_dotenv()
-
-local_client = OpenAI(base_url="http://192.168.1.20:11434/v1", api_key="ollama")
-groq_client = Groq(api_key=os.getenv("GROQ_API_KEY"))
-gemini_client = genai.Client(api_key=os.getenv("GEMINI_API_KEY"))
-
-def interroger_gemini_cascade(prompt):
-    modeles_a_tester = ["gemini-3.1-pro-preview", "gemini-3.1-pro", "gemini-2.5-pro", "gemini-3.7-flash", "gemini-3.6-flash"]
-    for nom_modele in modeles_a_tester:
-        try:
-            config = {"system_instruction": "Réponds toujours dans la langue de l'utilisateur. Utilise exclusivement le format Markdown pour les tableaux et la mise en forme. N'utilise JAMAIS de code LaTeX."}
-            chat = gemini_client.chats.create(model=nom_modele, config=config)
-            ia_response = chat.send_message(prompt)
-            if not ia_response.text:
-                raise Exception("Réponse vide de Google.")
-            return ia_response.text, nom_modele 
-        except Exception:
-            continue 
-    raise Exception("Tous les modèles Gemini sont indisponibles actuellement.")
-
-def appeler_groq_api(prompt_text):
-    resp = groq_client.chat.completions.create(
-        messages=[{"role": "system", "content": "Réponds dans la langue de l'utilisateur. Tu as accès aux recherches web fournies. Utilise uniquement Markdown. Pas de code LaTeX."}, {"role": "user", "content": prompt_text}], 
-        model="llama-3.3-70b-versatile"
-    )
-    return resp.choices[0].message.content, "#f97316", "GROQ", "llama-3.3-70b"
-''')
-
-# 4. router.py
-with open("modules/router.py", "w", encoding="utf-8") as f:
-    f.write('''import json
-import re
-
-def nettoyer_decision_router(raw_text):
-    try:
-        clean = re.sub(r'```(?:json)?\\s*', '', raw_text)
-        clean = clean.replace('```', '').strip()
-        start = clean.find('{')
-        end = clean.rfind('}') + 1
-        if start != -1 and end != 0:
-            return json.loads(clean[start:end])
-    except Exception:
-        pass
-    return {"intention": "Analyse", "fournisseur": "gemini"}
-''')
-
-# 5. ui_components.py (Gestion de l'affichage UI et sidebar)
-with open("modules/ui_components.py", "w", encoding="utf-8") as f:
-    f.write('''from fasthtml.common import *
-from modules.database import load_history
-
-def render_user_msg(text):
-    return Div(P(text, style="margin:0; font-weight:bold; white-space: pre-wrap;"), cls="user-bubble")
-
-def render_ai_msg(text, intention, nom_fournisseur, nom_modele, couleur):
-    encart_info = Div(
-        Span(f"🎯 {intention}", style="margin-right: 10px; color:#aaa; font-size:0.8em;"),
-        Span(f"🏢 {nom_fournisseur}", style="margin-right: 10px; color:#aaa; font-size:0.8em;"),
-        Span(f"🧠 {nom_modele}", style=f"margin-right: 10px; color:{couleur}; font-weight:bold; font-size:0.8em;"),
-        style="border-bottom: 1px solid #333; padding-bottom: 10px; margin-bottom: 15px; display: flex; flex-wrap: wrap; gap: 5px;"
-    )
-    
-    actions = Div(
-        Button("📄 PDF", onclick="downloadResponsePDF(this)", cls="msg-action-btn", title="Télécharger en PDF"),
-        Button("📘 DOC", onclick="downloadResponseDOC(this)", cls="msg-action-btn", title="Télécharger en Word"),
-        Button("📝 TXT", onclick="downloadResponseTXT(this)", cls="msg-action-btn", title="Télécharger en Texte"),
-        Button("🗄️ JSON", onclick="downloadResponseJSON(this)", cls="msg-action-btn", title="Télécharger en JSON"),
-        Button("💬 WhatsApp", onclick="shareWhatsApp(this)", cls="msg-action-btn", title="Partager sur WhatsApp"),
-        Button("📧 Email", onclick="shareEmail(this)", cls="msg-action-btn", title="Envoyer par Email"),
-        cls="msg-actions"
-    )
-    
-    return Div(
-        encart_info,
-        Div(text, cls="markdown-raw", style="display:none;"),
-        Div(cls="markdown-rendered", style="line-height: 1.6;"),
-        actions,
-        cls="ai-bubble", style=f"border-left: 4px solid {couleur};"
-    )
-
-def render_sidebar():
-    history = load_history()
-    sorted_chats = sorted(history.items(), key=lambda x: (not x[1].get('pinned', False), -x[1].get('timestamp', 0)))
-    
-    items = []
-    for chat_id, data in sorted_chats:
-        pin_icon = "📌" if data.get('pinned', False) else "📍"
-        items.append(
-            Div(
-                A(Span(data['title'], style="color:inherit;"), href=f"/load_chat/{chat_id}", cls="history-link"),
-                Button(pin_icon, cls="history-btn", hx_post=f"/pin/{chat_id}", hx_target="#sidebar-content", hx_swap="outerHTML"),
-                Button("✏️", cls="history-btn", hx_post=f"/rename/{chat_id}", hx_prompt="Nouveau nom :", hx_target="#sidebar-content", hx_swap="outerHTML"),
-                Button("🗑️", cls="history-btn", hx_post=f"/delete/{chat_id}", hx_target="#sidebar-content", hx_swap="outerHTML"),
-                cls="history-item", id=f"chat-item-{chat_id}"
-            )
-        )
-    return Div(*items, id="sidebar-content", cls="sidebar-history", hx_swap_oob="true")
-''')
-
-print("📁 Dossier 'modules/' et sous-scripts générés avec succès !")