src/bridge_agent.py

import gradio as gr
import json
import os
import shutil
import pandas as pd

class AgentBridge:  # 🟢 Ensure this says AgentBridge, not BridgeAgent
    def __init__(self, input_agent, brain_agent, trust_agent):
        print("🌉 Bridge Agent (React API) Online.")
        self.input = input_agent
        self.brain = brain_agent
        self.trust = trust_agent

    # --- 1. REPUTATION CHECK ---
    def api_check_reputation(self, user_key):
        """Matches React 'run_login' expectations."""
        if not user_key:
            return [None, "Unknown", "No key provided", False, 0, "Novice", 0, "Error"]
        
        # Simulated DB fetch
        current_xp = 150 
        role = "Novice"
        can_validate = False
        display_addr = f"{user_key[:6]}...{user_key[-4:]}"
        
        return [
            user_key,       # 0: Key
            display_addr,   # 1: Address
            "Welcome back", # 2: Message
            can_validate,   # 3: Is Validator?
            current_xp,     # 4: XP
            role,           # 5: Role
            12,             # 6: Rank
            "Keep playing to unlock validation!" # 7: Motivation
        ]

    # --- 2. SUBMISSION LOGIC (The Nexus) ---
    def api_submit_entry(self, transcribed, dialect, customD, clarification, tone, context, pragmatics, 
                         sourceTag, clar_source, userKey, blob, confirm):
        """
        Proxies the React submission to the UX Agent's logic.
        """
        # Ensure Brain has the UX link (injected in main.py)
        if hasattr(self.brain, 'ux'):
            return self.brain.ux.check_and_submit_logic(
                transcribed, dialect, customD, clarification, tone, context, pragmatics,
                sourceTag, clar_source, userKey, blob, confirm
            )
        return "❌ Error: UX Backend not linked.", None, None

    # --- 3. GET DIALECTS ---
    def api_get_dialects(self):
        """Returns list of available dialects for the dropdown."""
        try:
            # Fetch from CSV files in dataset dir
            dataset_dir = self.brain.config.DATASET_DIR
            if os.path.exists(dataset_dir):
                files = [f.replace(".csv", "") for f in os.listdir(dataset_dir) if f.endswith(".csv")]
                return files if files else ["American English", "Korean English", "Nigerian English"]
            return ["American English", "Korean English", "Nigerian English"]
        except:
            return ["American English", "Korean English", "Nigerian English"]

    # --- 4. GENERATE MISSION ---
    def api_generate_mission(self, context):
        """Generates a daily prompt."""
        if self.brain:
            return self.brain.generate_mission(context)
        return {"text": "Describe your morning routine.", "emoji": "☀️"}

    # --- 5. TRANSCRIBE CHECK ---
    def api_transcribe_check(self, audio_path, dialect):
        """Fast transcription for 'The Listener' game verification."""
        if not audio_path: return "No Audio"
        try:
            result = self.input.transcribe(audio_path)
            return result[0]['text']
        except Exception as e:
            return f"Error: {e}"

    # --- LAUNCHER ---
    def launch(self):
        with gr.Blocks() as api:
            # Inputs matching App.js calls
            in_txt = gr.Textbox(label="Text Input")
            in_aud = gr.Audio(type="filepath", label="Audio Input")
            
            # Outputs
            out_json = gr.JSON()
            out_txt = gr.Textbox()
            out_aud = gr.Audio()

            # 1. Login / Reputation
            gr.Button("API Rep").click(
                self.api_check_reputation, 
                inputs=[in_txt], 
                outputs=[out_json], 
                api_name="run_login"
            )
            
            # 2. Submit Entry (12 Args)
            # [orig, d_drop, d_new, clar, tone, context, prag, GAME_SOURCE, CLAR_SOURCE, user_key] + [Audio, Checkbox]
            sub_args = [gr.Textbox() for _ in range(10)] + [gr.Audio(type="filepath"), gr.Checkbox()]
            
            gr.Button("API Submit").click(
                self.api_submit_entry, 
                inputs=sub_args, 
                outputs=[gr.Textbox(), gr.Textbox(), gr.Audio()], 
                api_name="check_and_submit_logic"
            )
            
            # 3. Helpers
            gr.Button("API List").click(self.api_get_dialects, inputs=[], outputs=[out_json], api_name="get_dialects")
            gr.Button("API Mission").click(self.api_generate_mission, inputs=[in_txt], outputs=[out_json], api_name="generate_mission")
            gr.Button("API Transcribe").click(self.api_transcribe_check, inputs=[in_aud, in_txt], outputs=[out_txt], api_name="transcribe_check")

        return api