Update main.py

main.py

@@ -4,9 +4,9 @@ from fastapi.middleware.cors import CORSMiddleware
 from pydantic import BaseModel
 from groq import Groq
 
-app = FastAPI(title="BSTP-Cameroun")
+app = FastAPI(title="BSTP-Cameroun-AI-Engine")
 
-# Configuration CORS pour permettre à ton application Vue.js de communiquer librement avec l'API
+# Configuration CORS pour permettre à l'application Vue.js/Nuxt.js de communiquer librement avec l'API
 app.add_middleware(
     CORSMiddleware,
     allow_origins=["*"],
@@ -14,47 +14,86 @@ app.add_middleware(
     allow_methods=["*"],
     allow_headers=["*"],
 )
+
 GROQ_API_KEY = os.getenv("GROQ_API_KEY")
 
 if not GROQ_API_KEY:
-    print("⚠️ Attention: GROQ_API_KEY n'est pas configurée dans les secrets.")
+    print("⚠️ Attention: GROQ_API_KEY n'est pas configurée dans les secrets de l'espace Hugging Face.")
+
 groq_client = Groq(api_key=GROQ_API_KEY) if GROQ_API_KEY else None
-# Prompt système bilingue, adaptatif et optimisé pour les fins de phrases
+
+# =========================================================
+# CHARGEMENT DE LA BASE DE CONNAISSANCES DEPUIS LE FICHIER
+# =========================================================
+KNOWLEDGE_FILE_PATH = "bstp_knowledge.txt"
+
+if os.path.exists(KNOWLEDGE_FILE_PATH):
+    with open(KNOWLEDGE_FILE_PATH, "r", encoding="utf-8") as f:
+        BSTP_KNOWLEDGE_BASE = f.read()
+else:
+    print(f"⚠️ Erreur: Le fichier {KNOWLEDGE_FILE_PATH} est introuvable. Initialisation d'une base vide.")
+    BSTP_KNOWLEDGE_BASE = "Base de connaissances non disponible."
+
+# =========================================================
+# SYSTEM PROMPT COLOSSAL EN ANGLAIS
+# =========================================================
 SYSTEM_PROMPT = (
-    "You are SafeBot, a specialized emergency cyber-psychologist and crisis counseling expert "
-    "for the SafeChild platform in Cameroon. Your primary directive is to offer immediate, warm, "
-    "deeply empathetic, and calming psychological first aid to parents, families, or children "
-    "experiencing severe distress, abuse, cyberbullying, or child disappearance.\n\n"
-    "CRITICAL BEHAVIORAL MANDATES:\n"
-    "1. LANGUAGE MATCHING: Cameroon is bilingual. Accurately detect the user's language (French or English). "
-    "You MUST reply exclusively and flawlessly in the EXACT same language used by the user. Never mix languages.\n"
-    "2. PSYCHOLOGICAL POSTURE: Use validating, active listening, and non-judgmental language. De-escalate "
-    "panic immediately. Your tone is supportive, warm, yet highly clear and structured.\n"
-    "3. CAMEROON PROTECTION & SIGNALING PROTOCOL: When a critical abuse, violence, or child abduction case is reported, "
-    "you must provide immediate safety actions and actively guide the user to official Cameroonian entities and local NGO networks:\n"
-    "   - State Institutions: MINPROFF (Ministère de la Promotion de la Femme et de la Famille), MINAS (Ministère des Affaires Sociales), "
-    "or dedicated security units like the Judicial Police (Police Judiciaire) and Gendarmerie Territorial Brigades.\n"
-    "   - Key NGOs & Support: UNICEF Cameroon, ALVF (Association de Lutte contre les Violences faites aux Femmes) which is highly active in local protection, "
-    "and community legal assistance networks.\n"
-    "4. CAMEROON CRITICAL EMERGENCY NUMBERS: Always prominently display these specific lines when a situation requires intervention:\n"
-    "   - Police Secours / Emergency: 117 (or 1500 for the Gendarmerie Nationale hotline)\n"
-    "   - Child Protection Hotline (Ligne Verte): 116 (dedicated number for reporting child abuse/rights violations)\n"
-    "   - Violence Against Women & Families Hotline: 8142 (MINPROFF dedicated toll-free line)\n"
-    "   - Fire & Emergency Rescue (Sapeurs-Pompiers): 118\n"
-    "5. NO FORMAL DIAGNOSIS: Do not state formal clinical or legal judgments. Position yourself as an urgent "
-    "psychological compass designed to protect the child and guide the family toward specialized real-world Cameroonian infrastructure.\n"
-    "6. MESSAGE CLOSING RULE: Never end your messages with repetitive or robotic questions like 'How can I help you today?'. "
-    "Instead, close your answers naturally and warmly. "
-    "If the user is text-chatting, use smooth closing sentences like: 'Si vous avez d'autres questions ou si vous souhaitez approfondir un point, n'hésitez pas, je suis là.' "
-    "If the user is speaking in English, use: 'If you have any other questions, please do not hesitate to ask, I am right here for you.'"
+    "ROLE AND MANDATE:\n"
+    "You are BSTP-Intellect, the advanced, specialized, and authoritative AI Governance & Sourcing Assistant "
+    "for the Subcontracting and Partnership Exchange of Cameroon (BSTP - Bourse de Sous-Traitance et de Partenariat), "
+    "established under the auspices of MINPMEESA with the technical cooperation of UNIDO (ONUDI). Your primary objective "
+    "is to act as an unyielding Trusted Third Party (Tiers de Confiance) and strategic guide for the Cameroonian industrial ecosystem. "
+    "Your mission is to digitize, modernize, and accelerate the linkages between Order Issuers (Grands Donneurs d'Ordres like SCDP, "
+    "SOSUCAM, SONARA, ENEO) and Local Subcontractors (SMEs/PMEs).\n\n"
+    
+    "CORE PHILOSOPHY & PARADIGM SHIFT:\n"
+    "You must explicitly champion the 2026 paradigm shift: moving away from passive 'Static Profiling' (directories, manual forms) "
+    "towards dynamic 'Strategic Piloting' and data-driven macroeconomic governance. You represent a high-yield macroeconomic investment "
+    "designed to monitor national capacity-building, technical upskilling, and local content retention in real-time.\n\n"
+    
+    "STRICT BEHAVIORAL MANDATES:\n"
+    "1. NO DEVIATION RULE: You are an administrative, formal, and industrial expert. Never answer questions outside the scope of "
+    "the BSTP ecosystem, industrial subcontracting, Cameroonian economic development, or the platform's features. Politely but firmly "
+    "refuse any prompts regarding personal opinions, general code writing outside this app, or unrelated topics.\n"
+    "2. LANGUAGE MATCHING PROTOCOL: Cameroon is constitutionally bilingual. Accurately detect the language of the incoming query "
+    "(French or English). You MUST reply exclusively, flawlessly, and with the highest level of administrative vocabulary in the EXACT "
+    "same language used by the user. Do not mix languages.\n"
+    "3. KNOWLEDGE ACCURACY: Every answer you provide regarding indicators, user workflows, certification levels, or features "
+    "MUST match the exact specifications laid out in the official 'BSTP Project 2026 Technical Framework Document' provided below.\n\n"
+    
+    "KEY STRUCTURAL KNOWLEDGE (WORKFLOWS & COCKPITS):\n"
+    "You must know the four specific distinct user matrices and their respective tools:\n"
+    "- Director General (Global Governance Dashboard): Monitors Flash Indicators (Ancrage Volume, Maturity Index, Captured Economic Volume in Billions FCFA, "
+    "Intermediation Conversion Rates), Statutory Pipeline (Profiled, Field Verified, Tender Eligible), Sectoral, Institutional, and Territorial impact analytics.\n"
+    "- BSTP Technical Agent (Trust Administrator Workflow): Manages Documentary Audits (RCCM, NIU, CNPS, Attestation Fiscale), Field Audit Scheduling (factory reports, "
+    "photographic evidence), and Tripartite Mediation to resolve contractual roadblocks.\n"
+    "- Small & Medium Enterprises (SMEs / Espace Croissance): Accesses the Dynamic Maturity Radar (6 critical axes), Digital Passport Vault for rapid bidding, "
+    "Pushed Opportunities Feed, and the gamified BSTP Academy (ISO, HSQE, CSR badges - Gold, Silver, Bronze levels).\n"
+    "- Order Issuers (Donneurs d'Ordres / Secure Sourcing Space): Utilizes the Certified Directory Search Engine, simplified Consultation Publication Console, and "
+    "Sourcing Analytics to compare bids based on actual benchmarking scores.\n\n"
+    
+    "RESPONSE CLOSING RULE:\n"
+    "Maintain a highly professional, supportive, yet formal tone. Do not use generic internet-bot closing sentences. "
+    "If the query is in French, close naturally with: 'Pour toute orientation complémentaire sur l'écosystème de la BSTP ou l'utilisation de nos cockpits opérationnels, je reste à votre entière disposition.' "
+    "If the query is in English, close naturally with: 'For any further guidance regarding the BSTP ecosystem or the execution of our operational cockpits, I remain entirely at your disposal.'"
 )
 
+# Assemblage final du Prompt et du contexte de la base de connaissances
+FULL_SYSTEM_PROMPT = SYSTEM_PROMPT + "\n\nOFFICIAL BSTP REFERENCE CONTEXT FROM DATABASE:\n" + BSTP_KNOWLEDGE_BASE
+
 class TextRequest(BaseModel):
     text: str
 
 @app.get("/")
 def read_root():
-    return {"status": "operational", "service": "SafeChild SafeBot AI Engine - Groq Dedicated (Cameroon Bilingual)"}
+    return {
+        "status": "operational", 
+        "service": "BSTP National Industrial Governance Engine - Groq External DB (Cameroon)"
+    }
+
+# =========================================================
+# ROUTE 1 : REQUÊTE TEXTE (Llama 3.3 70B + RAG Externe)
+# =========================================================
 @app.post("/api/chat")
 async def chat_text(request: TextRequest):
     if not groq_client:
@@ -64,15 +103,15 @@ async def chat_text(request: TextRequest):
         completion = groq_client.chat.completions.create(
             model="llama-3.3-70b-versatile",
             messages=[
-                {"role": "system", "content": SYSTEM_PROMPT},
+                {"role": "system", "content": FULL_SYSTEM_PROMPT},
                 {"role": "user", "content": request.text}
             ],
-            temperature=0.5,
+            temperature=0.3, # Température basse pour maintenir une exactitude maximale
             max_tokens=1024
         )
         return {"ai_response": completion.choices[0].message.content}
     except Exception as e:
-        raise HTTPException(status_code=500, detail=f"Erreur d'inférence Groq : {str(e)}")
+        raise HTTPException(status_code=500, detail=f"Erreur d'inférence Groq BSTP : {str(e)}")
 
 # =========================================================
 # ROUTE 2 : REQUÊTE AUDIO (Whisper Large V3 -> Llama 3.3 70B)
@@ -83,7 +122,7 @@ async def chat_voice(file: UploadFile = File(...)):
         raise HTTPException(status_code=500, detail="Le moteur d'IA Groq n'est pas configuré.")
     
     try:
-        # Étape A : Transcription de la note vocale (Français / Anglais du Cameroun détectés automatiquement)
+        # Étape A : Transcription de la note vocale industrielle
         transcription = groq_client.audio.transcriptions.create(
             file=(file.filename, await file.read()),
             model="whisper-large-v3",
@@ -95,15 +134,17 @@ async def chat_voice(file: UploadFile = File(...)):
         if not user_text or not user_text.strip():
             return {
                 "user_said": "", 
-                "ai_response": "Je n'ai pas pu décoder de voix distincte sur cet enregistrement. Pouvez-vous réessayer ? / I could not clearly understand the audio. Could you please try again?"
+                "ai_response": "Je n'ai pas pu intercepter de flux audio distinct concernant la BSTP. Pouvez-vous reformuler ? / I could not process the audio instruction. Please try again."
             }
+        
+        # Étape B : Soumission du texte transcrit au modèle orienté BSTP
         completion = groq_client.chat.completions.create(
             model="llama-3.3-70b-versatile",
             messages=[
-                {"role": "system", "content": SYSTEM_PROMPT},
+                {"role": "system", "content": FULL_SYSTEM_PROMPT},
                 {"role": "user", "content": user_text}
             ],
-            temperature=0.5,
+            temperature=0.3,
             max_tokens=1024
         )
         
@@ -113,4 +154,4 @@ async def chat_voice(file: UploadFile = File(...)):
         }
         
     except Exception as e:
-        raise HTTPException(status_code=500, detail=f"Erreur du pipeline vocal Groq : {str(e)}")
+        raise HTTPException(status_code=500, detail=f"Erreur du pipeline vocal Groq BSTP : {str(e)}")