maj auto 2

modules/ai_engine.py

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+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"

modules/database.py

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+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).")

modules/router.py

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+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"}

modules/scraper.py

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+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

modules/ui_components.py

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+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")