ui/analytics_tab.py

# ui/analytics_tab.py
import gradio as gr
import pandas as pd
import logging
from collections import OrderedDict
import asyncio
from datetime import datetime, timedelta

# --- Module Imports ---
from config import PLOT_ID_TO_FORMULA_KEY_MAP
from ui.ui_generators import (
    build_analytics_tab_plot_area,
    BOMB_ICON, EXPLORE_ICON, FORMULA_ICON, ACTIVE_ICON
)
from ui.analytics_plot_generator import update_analytics_plots_figures, create_placeholder_plot
from formulas import PLOT_FORMULAS
from features.chatbot.chatbot_prompts import get_initial_insight_prompt_and_suggestions
from features.chatbot.chatbot_handler import generate_llm_response

logger = logging.getLogger(__name__)

PLOT_CONFIGS = [
    {"label": "Numero di Follower nel Tempo", "id": "followers_count", "section": "Dinamiche dei Follower"},
    {"label": "Tasso di Crescita Follower", "id": "followers_growth_rate", "section": "Dinamiche dei Follower"},
    {"label": "Follower per Località", "id": "followers_by_location", "section": "Demografia Follower"},
    {"label": "Follower per Ruolo (Funzione)", "id": "followers_by_role", "section": "Demografia Follower"},
    {"label": "Follower per Settore", "id": "followers_by_industry", "section": "Demografia Follower"},
    {"label": "Follower per Anzianità", "id": "followers_by_seniority", "section": "Demografia Follower"},
    {"label": "Tasso di Engagement nel Tempo", "id": "engagement_rate", "section": "Approfondimenti Performance Post"},
    {"label": "Copertura nel Tempo", "id": "reach_over_time", "section": "Approfondimenti Performance Post"},
    {"label": "Visualizzazioni nel Tempo", "id": "impressions_over_time", "section": "Approfondimenti Performance Post"},
    {"label": "Reazioni (Like) nel Tempo", "id": "likes_over_time", "section": "Approfondimenti Performance Post"},
    {"label": "Click nel Tempo", "id": "clicks_over_time", "section": "Engagement Dettagliato Post nel Tempo"},
    {"label": "Condivisioni nel Tempo", "id": "shares_over_time", "section": "Engagement Dettagliato Post nel Tempo"},
    {"label": "Commenti nel Tempo", "id": "comments_over_time", "section": "Engagement Dettagliato Post nel Tempo"},
    {"label": "Ripartizione Commenti per Sentiment", "id": "comments_sentiment", "section": "Engagement Dettagliato Post nel Tempo"},
    {"label": "Frequenza Post", "id": "post_frequency_cs", "section": "Analisi Strategia Contenuti"},
    {"label": "Ripartizione Contenuti per Formato", "id": "content_format_breakdown_cs", "section": "Analisi Strategia Contenuti"},
    {"label": "Ripartizione Contenuti per Argomenti", "id": "content_topic_breakdown_cs", "section": "Analisi Strategia Contenuti"},
    {"label": "Volume Menzioni nel Tempo (Dettaglio)", "id": "mention_analysis_volume", "section": "Analisi Menzioni (Dettaglio)"},
    {"label": "Ripartizione Menzioni per Sentiment (Dettaglio)", "id": "mention_analysis_sentiment", "section": "Analisi Menzioni (Dettaglio)"}
]
# IMPORTANT: Review if 'mention_analysis_volume' and 'mention_analysis_sentiment' plots
# can still be generated without the dedicated mentions data processing.
# If not, they should also be removed from PLOT_CONFIGS.
# For now, I am assuming they might draw from a general data pool in token_state.
assert len(PLOT_CONFIGS) == 19, "Mancata corrispondenza in PLOT_CONFIGS e grafici attesi."

UNIQUE_ORDERED_SECTIONS = list(OrderedDict.fromkeys(pc["section"] for pc in PLOT_CONFIGS))
NUM_UNIQUE_SECTIONS = len(UNIQUE_ORDERED_SECTIONS)

# Store references to UI components that handlers need to update
_plot_ui_objects = {}
_section_titles_map = {}
_global_actions_column_ui = None
_insights_chatbot_ui = None
_insights_chat_input_ui = None
_insights_suggestions_row_ui = None
_insights_suggestion_1_btn = None
_insights_suggestion_2_btn = None
_insights_suggestion_3_btn = None
_formula_display_markdown_ui = None
_formula_close_hint_md = None
_analytics_status_md = None
_date_filter_selector = None
_custom_start_date_picker = None
_custom_end_date_picker = None


def handle_toggle_custom_date_pickers(selection):
    is_custom = selection == "Intervallo Personalizzato"
    return gr.update(visible=is_custom), gr.update(visible=is_custom)

async def handle_panel_action(
    plot_id_clicked: str, action_type: str, current_active_action_from_state: dict,
    current_chat_histories: dict, current_chat_plot_id: str,
    current_plot_data_for_chatbot: dict, current_explored_plot_id: str
):
    logger.info(f"Panel Action: '{action_type}' for plot '{plot_id_clicked}'. Active: {current_active_action_from_state}, Explored: {current_explored_plot_id}")
    clicked_plot_config = next((p for p in PLOT_CONFIGS if p["id"] == plot_id_clicked), None)
    if not clicked_plot_config:
        logger.error(f"Config not found for plot_id {plot_id_clicked}")
        num_plots = len(PLOT_CONFIGS)
        error_list_len = 15 + (4 * num_plots) + NUM_UNIQUE_SECTIONS # Matches expected length in original code
        error_list = [gr.update()] * error_list_len
        error_list[11] = current_active_action_from_state # active_panel_action_state
        error_list[12] = current_chat_plot_id # current_chat_plot_id_st
        error_list[13] = current_chat_histories # chat_histories_st
        error_list[14] = current_explored_plot_id # explored_plot_id_state
        return error_list

    clicked_plot_label = clicked_plot_config["label"]
    clicked_plot_section = clicked_plot_config["section"]
    hypothetical_new_active_state = {"plot_id": plot_id_clicked, "type": action_type}
    is_toggling_off = current_active_action_from_state == hypothetical_new_active_state

    action_col_visible_update = gr.update(visible=False)
    insights_chatbot_visible_update = gr.update(visible=False)
    insights_chat_input_visible_update = gr.update(visible=False)
    insights_suggestions_row_visible_update = gr.update(visible=False)
    formula_display_visible_update = gr.update(visible=False)
    formula_close_hint_visible_update = gr.update(visible=False)

    chatbot_content_update = gr.update()
    s1_upd, s2_upd, s3_upd = gr.update(), gr.update(), gr.update()
    formula_content_update = gr.update()

    new_active_action_state_to_set = None
    new_current_chat_plot_id = current_chat_plot_id
    updated_chat_histories = current_chat_histories
    new_explored_plot_id_to_set = current_explored_plot_id

    generated_panel_vis_updates = []
    generated_bomb_btn_updates = []
    generated_formula_btn_updates = []
    generated_explore_btn_updates = []
    section_title_vis_updates = [gr.update()] * NUM_UNIQUE_SECTIONS

    if is_toggling_off:
        new_active_action_state_to_set = None
        action_col_visible_update = gr.update(visible=False)
        logger.info(f"Toggling OFF panel {action_type} for {plot_id_clicked}.")
        for _ in PLOT_CONFIGS:
            generated_bomb_btn_updates.append(gr.update(value=BOMB_ICON))
            generated_formula_btn_updates.append(gr.update(value=FORMULA_ICON))

        if current_explored_plot_id:
            explored_cfg = next((p for p in PLOT_CONFIGS if p["id"] == current_explored_plot_id), None)
            explored_sec = explored_cfg["section"] if explored_cfg else None
            for i, sec_name in enumerate(UNIQUE_ORDERED_SECTIONS):
                section_title_vis_updates[i] = gr.update(visible=(sec_name == explored_sec))
            for cfg in PLOT_CONFIGS:
                is_exp = (cfg["id"] == current_explored_plot_id)
                generated_panel_vis_updates.append(gr.update(visible=is_exp))
                generated_explore_btn_updates.append(gr.update(value=ACTIVE_ICON if is_exp else EXPLORE_ICON))
        else:
            for i in range(NUM_UNIQUE_SECTIONS):
                section_title_vis_updates[i] = gr.update(visible=True)
            for _ in PLOT_CONFIGS:
                generated_panel_vis_updates.append(gr.update(visible=True))
                generated_explore_btn_updates.append(gr.update(value=EXPLORE_ICON))
        if action_type == "insights":
            new_current_chat_plot_id = None # Reset chat plot ID
    else: # Toggling ON or switching
        new_active_action_state_to_set = hypothetical_new_active_state
        action_col_visible_update = gr.update(visible=True)
        new_explored_plot_id_to_set = None # Cancel explore view
        logger.info(f"Toggling ON panel {action_type} for {plot_id_clicked}. Cancelling explore view if any.")

        for i, sec_name in enumerate(UNIQUE_ORDERED_SECTIONS):
            section_title_vis_updates[i] = gr.update(visible=(sec_name == clicked_plot_section))
        for cfg in PLOT_CONFIGS:
            generated_panel_vis_updates.append(gr.update(visible=(cfg["id"] == plot_id_clicked)))
            generated_explore_btn_updates.append(gr.update(value=EXPLORE_ICON)) # Reset all explore buttons

        for cfg_btn in PLOT_CONFIGS:
            is_active_insights = new_active_action_state_to_set == {"plot_id": cfg_btn["id"], "type": "insights"}
            is_active_formula = new_active_action_state_to_set == {"plot_id": cfg_btn["id"], "type": "formula"}
            generated_bomb_btn_updates.append(gr.update(value=ACTIVE_ICON if is_active_insights else BOMB_ICON))
            generated_formula_btn_updates.append(gr.update(value=ACTIVE_ICON if is_active_formula else FORMULA_ICON))

        if action_type == "insights":
            insights_chatbot_visible_update = gr.update(visible=True)
            insights_chat_input_visible_update = gr.update(visible=True)
            insights_suggestions_row_visible_update = gr.update(visible=True)
            new_current_chat_plot_id = plot_id_clicked
            history = current_chat_histories.get(plot_id_clicked, [])
            summary = current_plot_data_for_chatbot.get(plot_id_clicked, f"No summary for '{clicked_plot_label}'.")

            if not history: # First time opening chat for this plot
                prompt, sugg = get_initial_insight_prompt_and_suggestions(plot_id_clicked, clicked_plot_label, summary)
                llm_history_for_api = [{"role": "user", "content": prompt}] # History for LLM call
                # Yield initial state if you want to show "Thinking..."
                # For simplicity, directly call and update.
                response_text = await generate_llm_response(prompt, plot_id_clicked, clicked_plot_label, llm_history_for_api, summary)
                history = [{"role": "assistant", "content": response_text}] # Gradio chat history
                updated_chat_histories = {**current_chat_histories, plot_id_clicked: history}
            else: # Re-opening chat, just get suggestions
                _, sugg = get_initial_insight_prompt_and_suggestions(plot_id_clicked, clicked_plot_label, summary)

            chatbot_content_update = gr.update(value=history)
            s1_upd = gr.update(value=sugg[0] if sugg and len(sugg) > 0 else "N/A")
            s2_upd = gr.update(value=sugg[1] if sugg and len(sugg) > 1 else "N/A")
            s3_upd = gr.update(value=sugg[2] if sugg and len(sugg) > 2 else "N/A")

        elif action_type == "formula":
            formula_display_visible_update = gr.update(visible=True)
            formula_close_hint_visible_update = gr.update(visible=True)
            formula_key = PLOT_ID_TO_FORMULA_KEY_MAP.get(plot_id_clicked)
            formula_text = f"**Formula/Methodology for: {clicked_plot_label}** (ID: `{plot_id_clicked}`)\n\n"
            if formula_key and formula_key in PLOT_FORMULAS:
                formula_data = PLOT_FORMULAS[formula_key]
                formula_text += f"### {formula_data['title']}\n\n{formula_data['description']}\n\n**Calculation:**\n"
                formula_text += "\n".join([f"- {step}" for step in formula_data['calculation_steps']])
            else:
                formula_text += "(No detailed formula information found.)"
            formula_content_update = gr.update(value=formula_text)
            new_current_chat_plot_id = None # Ensure chat context is cleared if formula is opened

    # Order of outputs must match the list provided to .click() in build_and_wire_tab
    final_updates = [
        action_col_visible_update,          # global_actions_column_ui
        insights_chatbot_visible_update,    # insights_chatbot_ui (visibility)
        chatbot_content_update,             # insights_chatbot_ui (content)
        insights_chat_input_visible_update, # insights_chat_input_ui
        insights_suggestions_row_visible_update, # insights_suggestions_row_ui
        s1_upd,                             # insights_suggestion_1_btn
        s2_upd,                             # insights_suggestion_2_btn
        s3_upd,                             # insights_suggestion_3_btn
        formula_display_visible_update,     # formula_display_markdown_ui (visibility)
        formula_content_update,             # formula_display_markdown_ui (content)
        formula_close_hint_visible_update,  # formula_close_hint_md
        new_active_action_state_to_set,     # active_panel_action_state (state)
        new_current_chat_plot_id,           # current_chat_plot_id_st (state)
        updated_chat_histories,             # chat_histories_st (state)
        new_explored_plot_id_to_set         # explored_plot_id_state (state)
    ]
    final_updates.extend(generated_panel_vis_updates) # plot_ui_objects[pc["id"]]["panel_component"]
    final_updates.extend(generated_bomb_btn_updates)    # plot_ui_objects[pc["id"]]["bomb_button"]
    final_updates.extend(generated_formula_btn_updates)# plot_ui_objects[pc["id"]]["formula_button"]
    final_updates.extend(generated_explore_btn_updates) # plot_ui_objects[pc["id"]]["explore_button"]
    final_updates.extend(section_title_vis_updates)   # section_titles_map[s_name]

    logger.debug(f"handle_panel_action returning {len(final_updates)} updates. Expected {15 + 4*len(PLOT_CONFIGS) + NUM_UNIQUE_SECTIONS}.")
    return final_updates

async def handle_chat_message_submission(user_message: str, current_plot_id: str, chat_histories: dict, current_plot_data_for_chatbot: dict ):
    if not current_plot_id or not user_message.strip():
        current_history_for_plot = chat_histories.get(current_plot_id, [])
        if not isinstance(current_history_for_plot, list): current_history_for_plot = []
        yield current_history_for_plot, gr.update(value=""), chat_histories # chatbot, chat_input, chat_histories_st
        return

    cfg = next((p for p in PLOT_CONFIGS if p["id"] == current_plot_id), None)
    lbl = cfg["label"] if cfg else "Selected Plot"
    summary = current_plot_data_for_chatbot.get(current_plot_id, f"No summary for '{lbl}'.")

    hist_for_plot = chat_histories.get(current_plot_id, [])
    if not isinstance(hist_for_plot, list): hist_for_plot = [] # Ensure it's a list

    # Append user message to local history for display
    current_display_history = hist_for_plot.copy() + [{"role": "user", "content": user_message}]
    yield current_display_history, gr.update(value=""), chat_histories # Update UI immediately with user message

    # Prepare history for LLM (this might be different from display history if system prompts are used internally)
    llm_call_history = current_display_history # Or a modified version
    
    response_text = await generate_llm_response(user_message, current_plot_id, lbl, llm_call_history, summary)
    
    # Append AI response to display history
    current_display_history.append({"role": "assistant", "content": response_text})
    
    # Update the master chat_histories state
    updated_chat_histories = {**chat_histories, current_plot_id: current_display_history}
    
    yield current_display_history, "", updated_chat_histories


async def handle_suggested_question_click(suggestion_text: str, current_plot_id: str, chat_histories: dict, current_plot_data_for_chatbot: dict):
    if not current_plot_id or not suggestion_text.strip() or suggestion_text == "N/A":
        current_history_for_plot = chat_histories.get(current_plot_id, [])
        if not isinstance(current_history_for_plot, list): current_history_for_plot = []
        yield current_history_for_plot, gr.update(value=""), chat_histories
        return

    # Use an async generator to stream updates from handle_chat_message_submission
    async for update_chunk in handle_chat_message_submission(suggestion_text, current_plot_id, chat_histories, current_plot_data_for_chatbot):
        yield update_chunk


def handle_explore_click(plot_id_clicked, current_explored_plot_id_from_state, current_active_panel_action_state):
    logger.info(f"Explore Click: Plot '{plot_id_clicked}'. Current Explored: {current_explored_plot_id_from_state}. Active Panel: {current_active_panel_action_state}")
    num_plots = len(PLOT_CONFIGS)

    if not _plot_ui_objects: # Ensure _plot_ui_objects is populated
        logger.error("_plot_ui_objects not populated for handle_explore_click.")
        # Construct an error return list of the correct length
        error_list_len = 4 + (4 * num_plots) + NUM_UNIQUE_SECTIONS
        error_list = [gr.update()] * error_list_len
        error_list[0] = current_explored_plot_id_from_state # explored_plot_id_state
        error_list[2] = current_active_panel_action_state # active_panel_action_state
        # Other elements remain gr.update()
        return error_list

    new_explored_id_to_set = None
    is_toggling_off_explore = (plot_id_clicked == current_explored_plot_id_from_state)

    action_col_upd = gr.update() # Default: no change
    new_active_panel_state_upd = current_active_panel_action_state # Default: no change
    formula_hint_upd = gr.update(visible=False) # Default: hide formula hint

    panel_vis_updates = []
    explore_btns_updates = []
    bomb_btns_updates = [gr.update() for _ in PLOT_CONFIGS] # Default: no change
    formula_btns_updates = [gr.update() for _ in PLOT_CONFIGS] # Default: no change
    section_title_vis_updates = [gr.update()] * NUM_UNIQUE_SECTIONS

    clicked_cfg = next((p for p in PLOT_CONFIGS if p["id"] == plot_id_clicked), None)
    sec_of_clicked = clicked_cfg["section"] if clicked_cfg else None

    if is_toggling_off_explore:
        new_explored_id_to_set = None
        logger.info(f"Stopping explore for {plot_id_clicked}. All plots/sections to be visible.")
        for i in range(NUM_UNIQUE_SECTIONS):
            section_title_vis_updates[i] = gr.update(visible=True)
        for _ in PLOT_CONFIGS:
            panel_vis_updates.append(gr.update(visible=True))
            explore_btns_updates.append(gr.update(value=EXPLORE_ICON))
        # Bomb and Formula buttons remain as they were unless an action panel was closed
    else: # Activating explore for plot_id_clicked or switching explore target
        new_explored_id_to_set = plot_id_clicked
        logger.info(f"Exploring {plot_id_clicked}. Hiding other plots/sections.")
        for i, sec_name in enumerate(UNIQUE_ORDERED_SECTIONS):
            section_title_vis_updates[i] = gr.update(visible=(sec_name == sec_of_clicked))
        for cfg in PLOT_CONFIGS:
            is_target = (cfg["id"] == new_explored_id_to_set)
            panel_vis_updates.append(gr.update(visible=is_target))
            explore_btns_updates.append(gr.update(value=ACTIVE_ICON if is_target else EXPLORE_ICON))

        if current_active_panel_action_state: # If an action panel (insights/formula) is open
            logger.info("Closing active insight/formula panel due to explore click.")
            action_col_upd = gr.update(visible=False)
            new_active_panel_state_upd = None # Clear active panel state
            formula_hint_upd = gr.update(visible=False) # Hide formula hint specifically
            # Reset bomb and formula buttons to their default icons
            bomb_btns_updates = [gr.update(value=BOMB_ICON) for _ in PLOT_CONFIGS]
            formula_btns_updates = [gr.update(value=FORMULA_ICON) for _ in PLOT_CONFIGS]

    # Order of outputs must match the list provided to .click() in build_and_wire_tab
    final_explore_updates = [
        new_explored_id_to_set,         # explored_plot_id_state
        action_col_upd,                 # global_actions_column_ui
        new_active_panel_state_upd,     # active_panel_action_state
        formula_hint_upd                # formula_close_hint_md (specifically for closing formula panel)
    ]
    final_explore_updates.extend(panel_vis_updates)         # plot_ui_objects[pc["id"]]["panel_component"]
    final_explore_updates.extend(explore_btns_updates)      # plot_ui_objects[pc["id"]]["explore_button"]
    final_explore_updates.extend(bomb_btns_updates)         # plot_ui_objects[pc["id"]]["bomb_button"]
    final_explore_updates.extend(formula_btns_updates)      # plot_ui_objects[pc["id"]]["formula_button"]
    final_explore_updates.extend(section_title_vis_updates) # section_titles_map[s_name]

    logger.debug(f"handle_explore_click returning {len(final_explore_updates)} updates. Expected {4 + 4*len(PLOT_CONFIGS) + NUM_UNIQUE_SECTIONS}.")
    return final_explore_updates

async def handle_refresh_analytics_graphs(current_token_state_val, date_filter_val, custom_start_val, custom_end_val, current_chat_histories_val):
    logger.info("Refreshing analytics graph UI elements and resetting actions/chat.")
    # Call the existing plot generation logic
    plot_gen_results = update_analytics_plots_figures(current_token_state_val, date_filter_val, custom_start_val, custom_end_val, PLOT_CONFIGS)
    status_msg, gen_figs, new_summaries_for_chatbot = plot_gen_results[0], plot_gen_results[1:-1], plot_gen_results[-1]

    all_updates = [status_msg] # For analytics_status_md
    all_updates.extend(gen_figs if len(gen_figs) == len(PLOT_CONFIGS) else [create_placeholder_plot("Error", f"Fig missing {i}") for i in range(len(PLOT_CONFIGS))]) # For each plot component

    # Updates for resetting the global action panel UI
    all_updates.extend([
        gr.update(visible=False),  # global_actions_column_ui
        gr.update(value=[], visible=False),  # insights_chatbot_ui (content and visibility)
        gr.update(value="", visible=False),  # insights_chat_input_ui
        gr.update(visible=False),  # insights_suggestions_row_ui
        gr.update(value="Suggerimento 1"),  # insights_suggestion_1_btn
        gr.update(value="Suggerimento 2"),  # insights_suggestion_2_btn
        gr.update(value="Suggerimento 3"),  # insights_suggestion_3_btn
        gr.update(value="Formula details here.", visible=False),  # formula_display_markdown_ui
        gr.update(visible=False)  # formula_close_hint_md
    ])

    # Updates for resetting relevant states
    all_updates.extend([
        None,  # active_panel_action_state
        None,  # current_chat_plot_id_st
        {},    # chat_histories_st (resetting all chat histories on graph refresh)
        new_summaries_for_chatbot  # plot_data_for_chatbot_st
    ])

    # Updates for resetting plot-specific action buttons and panel visibility
    for _ in PLOT_CONFIGS:
        all_updates.extend([
            gr.update(value=BOMB_ICON),      # bomb_button
            gr.update(value=FORMULA_ICON),   # formula_button
            gr.update(value=EXPLORE_ICON),   # explore_button
            gr.update(visible=True)          # panel_component (make all plot panels visible)
        ])
    
    all_updates.append(None) # explored_plot_id_state (reset explore state)

    # Updates for making all section titles visible
    all_updates.extend([gr.update(visible=True)] * NUM_UNIQUE_SECTIONS)
    
    expected_len = 1 + len(PLOT_CONFIGS) + 9 + 4 + (4 * len(PLOT_CONFIGS)) + 1 + NUM_UNIQUE_SECTIONS # Match original structure
    logger.info(f"Prepared {len(all_updates)} updates for graph refresh. Expected {expected_len}.")
    if len(all_updates) != expected_len:
        logger.error(f"MISMATCH in refresh_analytics_graphs_ui output length. Got {len(all_updates)}, expected {expected_len}")
        # Fallback to a safe number of gr.update() if length mismatch to avoid Gradio error
        # This part needs careful review if mismatches occur.
        # For now, assume the calculation is correct based on original structure.
    return tuple(all_updates)


def build_and_wire_tab(token_state, chat_histories_st, current_chat_plot_id_st, plot_data_for_chatbot_st, active_panel_action_state, explored_plot_id_state):
    """Builds the UI for the Analytics Tab and wires up its internal event handlers."""
    global _plot_ui_objects, _section_titles_map, _global_actions_column_ui, \
           _insights_chatbot_ui, _insights_chat_input_ui, _insights_suggestions_row_ui, \
           _insights_suggestion_1_btn, _insights_suggestion_2_btn, _insights_suggestion_3_btn, \
           _formula_display_markdown_ui, _formula_close_hint_md, _analytics_status_md, \
           _date_filter_selector, _custom_start_date_picker, _custom_end_date_picker
    
    # These will be returned to app.py for .then() chains if needed, or for constructing output lists
    # that app.py will manage for calls to handlers in this module.
    components_for_refresh_outputs = []

    with gr.Column(): # Main column for the tab
        _analytics_status_md = gr.Markdown("Stato analisi grafici...")
        components_for_refresh_outputs.append(_analytics_status_md)

        gr.Markdown("## 📈 Analisi Performance LinkedIn")
        gr.Markdown("Seleziona un intervallo di date per i grafici. Clicca i pulsanti (💣 Insights, ƒ Formula, 🧭 Esplora) su un grafico per azioni.")

        with gr.Row():
            _date_filter_selector = gr.Radio(
                ["Sempre", "Ultimi 7 Giorni", "Ultimi 30 Giorni", "Intervallo Personalizzato"],
                label="Seleziona Intervallo Date per Grafici", value="Sempre", scale=3
            )
            with gr.Column(scale=2):
                _custom_start_date_picker = gr.DateTime(label="Data Inizio", visible=False, include_time=False, type="datetime")
                _custom_end_date_picker = gr.DateTime(label="Data Fine", visible=False, include_time=False, type="datetime")
        
        apply_filter_btn = gr.Button("🔍 Applica Filtro & Aggiorna Grafici", variant="primary")

        _date_filter_selector.change(
            fn=handle_toggle_custom_date_pickers,
            inputs=[_date_filter_selector],
            outputs=[_custom_start_date_picker, _custom_end_date_picker]
        )
        
        with gr.Row(equal_height=False):
            with gr.Column(scale=8) as plots_area_col:
                # Call the existing UI generator for plots
                # This function needs to populate _plot_ui_objects and _section_titles_map
                # For simplicity, assume build_analytics_tab_plot_area is adapted or its results are processed here
                ui_elements_tuple = build_analytics_tab_plot_area(PLOT_CONFIGS)
                if isinstance(ui_elements_tuple, tuple) and len(ui_elements_tuple) == 2:
                    _plot_ui_objects, _section_titles_map = ui_elements_tuple
                    if not all(sec_name in _section_titles_map for sec_name in UNIQUE_ORDERED_SECTIONS):
                        logger.error("section_titles_map from build_analytics_tab_plot_area is incomplete.")
                        # Ensure _section_titles_map has all keys for safety in handlers
                        for sec_name in UNIQUE_ORDERED_SECTIONS:
                            if sec_name not in _section_titles_map:
                                _section_titles_map[sec_name] = gr.Markdown(f"### {sec_name} (Error Placeholder)")
                else: # Fallback if the function signature changes or an error occurs
                    logger.error("build_analytics_tab_plot_area did not return a tuple of (plot_ui_objects, section_titles_map).")
                    _plot_ui_objects = ui_elements_tuple if isinstance(ui_elements_tuple, dict) else {}
                    for sec_name in UNIQUE_ORDERED_SECTIONS:
                         _section_titles_map[sec_name] = gr.Markdown(f"### {sec_name} (Error Placeholder)")
                    # Ensure all plot IDs have a placeholder in _plot_ui_objects for safety
                    for pc_cfg in PLOT_CONFIGS:
                        if pc_cfg['id'] not in _plot_ui_objects:
                             _plot_ui_objects[pc_cfg['id']] = {
                                "plot_component": gr.Plot(label=pc_cfg['label']), # Placeholder
                                "panel_component": gr.Group(visible=True), # Placeholder
                                "bomb_button": gr.Button(value=BOMB_ICON, size="sm", min_width=10),
                                "formula_button": gr.Button(value=FORMULA_ICON, size="sm", min_width=10),
                                "explore_button": gr.Button(value=EXPLORE_ICON, size="sm", min_width=10)
                             }


            _global_actions_column_ui = gr.Column(scale=4, visible=False) # Assign to module-level var
            with _global_actions_column_ui:
                gr.Markdown("### 💡 Azioni Contestuali Grafico")
                _insights_chatbot_ui = gr.Chatbot(
                    label="Chat Insights", type="messages", height=450,
                    bubble_full_width=False, visible=False, show_label=False,
                    placeholder="L'analisi AI del grafico apparirà qui. Fai domande di approfondimento!"
                )
                _insights_chat_input_ui = gr.Textbox(
                    label="La tua domanda:", placeholder="Chiedi all'AI riguardo a questo grafico...",
                    lines=2, visible=False, show_label=False
                )
                _insights_suggestions_row_ui = gr.Row(visible=False)
                with _insights_suggestions_row_ui:
                    _insights_suggestion_1_btn = gr.Button(value="Suggerimento 1", size="sm", min_width=50)
                    _insights_suggestion_2_btn = gr.Button(value="Suggerimento 2", size="sm", min_width=50)
                    _insights_suggestion_3_btn = gr.Button(value="Suggerimento 3", size="sm", min_width=50)

                _formula_display_markdown_ui = gr.Markdown(
                    "I dettagli sulla formula/metodologia appariranno qui.", visible=False
                )
                _formula_close_hint_md = gr.Markdown(
                    "<p style='font-size:0.9em; text-align:center; margin-top:10px;'><em>Click the active ƒ button on the plot again to close this panel.</em></p>",
                    visible=False
                )
        
        # --- Outputs for handle_refresh_analytics_graphs ---
        # Order: analytics_status_md
        #        plot_components (from _plot_ui_objects)
        #        global_actions_column_ui, insights_chatbot_ui (vis), insights_chatbot_ui (val), insights_chat_input_ui, insights_suggestions_row_ui, s1,s2,s3, formula_display_md (vis), formula_display_md (val), formula_close_hint
        #        active_panel_action_state, current_chat_plot_id_st, chat_histories_st, plot_data_for_chatbot_st
        #        bomb_buttons, formula_buttons, explore_buttons, panel_components (from _plot_ui_objects)
        #        explored_plot_id_state
        #        section_title_markdowns (from _section_titles_map)
        
        for pc_cfg in PLOT_CONFIGS: # plot_components
            components_for_refresh_outputs.append(_plot_ui_objects.get(pc_cfg["id"], {}).get("plot_component", gr.Plot()))
        
        components_for_refresh_outputs.extend([ # UI resets for global action panel
            _global_actions_column_ui, _insights_chatbot_ui, _insights_chat_input_ui, 
            _insights_suggestions_row_ui, _insights_suggestion_1_btn, _insights_suggestion_2_btn, 
            _insights_suggestion_3_btn, _formula_display_markdown_ui, _formula_close_hint_md
        ])
        # Note: For components like _insights_chatbot_ui that need separate visibility and value updates,
        # handle_refresh_analytics_graphs provides two gr.update() calls. The outputs list here should map to that.
        # The current handle_refresh_analytics_graphs structure implies the value for _insights_chatbot_ui is part of its visibility update.
        # This needs to be consistent. The original code had `insights_chatbot_ui` twice in `_base_action_panel_ui_outputs`.
        # Let's assume for now that `gr.update(value=[], visible=False)` handles both for `_insights_chatbot_ui`.

        # States are not components, they are updated directly by handlers.
        # The list `components_for_refresh_outputs` is for Gradio `outputs=[...]` argument.

        for pc_cfg in PLOT_CONFIGS: # plot action buttons and panels
            plot_obj = _plot_ui_objects.get(pc_cfg["id"], {})
            components_for_refresh_outputs.extend([
                plot_obj.get("bomb_button", gr.Button()),
                plot_obj.get("formula_button", gr.Button()),
                plot_obj.get("explore_button", gr.Button()),
                plot_obj.get("panel_component", gr.Group())
            ])
        
        for sec_name in UNIQUE_ORDERED_SECTIONS: # section titles
            components_for_refresh_outputs.append(_section_titles_map.get(sec_name, gr.Markdown()))


        # --- Outputs for handle_panel_action & handle_explore_click ---
        # These lists are constructed inside the handlers themselves using the module-level component variables.
        # What app.py needs is the list of components that these handlers will update.
        
        action_panel_event_outputs = [
            _global_actions_column_ui, _insights_chatbot_ui, _insights_chatbot_ui, # vis, val
            _insights_chat_input_ui, _insights_suggestions_row_ui,
            _insights_suggestion_1_btn, _insights_suggestion_2_btn, _insights_suggestion_3_btn,
            _formula_display_markdown_ui, _formula_display_markdown_ui, # vis, val
            _formula_close_hint_md,
            # States: active_panel_action_state, current_chat_plot_id_st, chat_histories_st, explored_plot_id_state
        ]
        # Add plot-specific components (panels, buttons)
        for pc in PLOT_CONFIGS:
            ui_obj = _plot_ui_objects.get(pc["id"], {})
            action_panel_event_outputs.extend([
                ui_obj.get("panel_component", gr.Group()), ui_obj.get("bomb_button", gr.Button()),
                ui_obj.get("formula_button", gr.Button()), ui_obj.get("explore_button", gr.Button())
            ])
        # Add section titles
        for s_name in UNIQUE_ORDERED_SECTIONS:
            action_panel_event_outputs.append(_section_titles_map.get(s_name, gr.Markdown()))


        explore_event_outputs = [
            # States: explored_plot_id_state, active_panel_action_state
            _global_actions_column_ui, _formula_close_hint_md
        ]
        # Add plot-specific components (panels, buttons)
        for pc in PLOT_CONFIGS:
            ui_obj = _plot_ui_objects.get(pc["id"], {})
            explore_event_outputs.extend([
                ui_obj.get("panel_component", gr.Group()), ui_obj.get("explore_button", gr.Button()),
                ui_obj.get("bomb_button", gr.Button()), ui_obj.get("formula_button", gr.Button())
            ])
        # Add section titles
        for s_name in UNIQUE_ORDERED_SECTIONS:
            explore_event_outputs.append(_section_titles_map.get(s_name, gr.Markdown()))

        # --- Event Wiring ---
        action_click_inputs = [active_panel_action_state, chat_histories_st, current_chat_plot_id_st, plot_data_for_chatbot_st, explored_plot_id_state]
        explore_click_inputs = [explored_plot_id_state, active_panel_action_state]

        def create_panel_action_handler_closure(p_id, action_type_str): # Renamed from original to avoid conflict
            async def _handler(curr_active_val, curr_chats_val, curr_chat_pid, curr_plot_data, curr_explored_id):
                return await handle_panel_action(p_id, action_type_str, curr_active_val, curr_chats_val, curr_chat_pid, curr_plot_data, curr_explored_id)
            return _handler

        for config_item in PLOT_CONFIGS:
            plot_id = config_item["id"]
            if plot_id in _plot_ui_objects:
                ui_obj = _plot_ui_objects[plot_id]
                # The outputs list for these handlers needs to include the state variables as well.
                # The handlers themselves return updates for states.
                # Gradio's .click() outputs should be components + states.
                
                # Corrected output lists for action/explore handlers to include states
                # These are the components that receive updates, PLUS the state objects themselves.
                # The `handle_panel_action` and `handle_explore_click` functions are designed to return a list
                # where the state updates are correctly positioned.

                # Outputs for panel actions (insights/formula)
                panel_action_outputs_plus_states = action_panel_event_outputs[:11] + \
                                               [active_panel_action_state, current_chat_plot_id_st, chat_histories_st, explored_plot_id_state] + \
                                               action_panel_event_outputs[11:]
                
                # Outputs for explore actions
                explore_action_outputs_plus_states = [explored_plot_id_state] + \
                                                 explore_event_outputs[:1] + \
                                                 [active_panel_action_state] + \
                                                 explore_event_outputs[1:]


                if ui_obj.get("bomb_button"):
                    ui_obj["bomb_button"].click(
                        fn=create_panel_action_handler_closure(plot_id, "insights"),
                        inputs=action_click_inputs,
                        outputs=panel_action_outputs_plus_states, # Pass the combined list
                        api_name=f"action_insights_{plot_id}"
                    )
                if ui_obj.get("formula_button"):
                    ui_obj["formula_button"].click(
                        fn=create_panel_action_handler_closure(plot_id, "formula"),
                        inputs=action_click_inputs,
                        outputs=panel_action_outputs_plus_states, # Pass the combined list
                        api_name=f"action_formula_{plot_id}"
                    )
                if ui_obj.get("explore_button"):
                    ui_obj["explore_button"].click(
                        fn=lambda current_explored_val, current_active_panel_val, p_id=plot_id: handle_explore_click(p_id, current_explored_val, current_active_panel_val),
                        inputs=explore_click_inputs,
                        outputs=explore_action_outputs_plus_states, # Pass the combined list
                        api_name=f"action_explore_{plot_id}"
                    )
            else:
                logger.warning(f"UI object for plot_id '{plot_id}' not found for click handlers.")

        chat_submission_outputs = [_insights_chatbot_ui, _insights_chat_input_ui, chat_histories_st]
        chat_submission_inputs = [_insights_chat_input_ui, current_chat_plot_id_st, chat_histories_st, plot_data_for_chatbot_st]
        
        _insights_chat_input_ui.submit(
            fn=handle_chat_message_submission,
            inputs=chat_submission_inputs,
            outputs=chat_submission_outputs,
            api_name="submit_chat_message"
        )
        
        suggestion_click_inputs_base = [current_chat_plot_id_st, chat_histories_st, plot_data_for_chatbot_st]
        _insights_suggestion_1_btn.click(
            fn=handle_suggested_question_click,
            inputs=[_insights_suggestion_1_btn] + suggestion_click_inputs_base,
            outputs=chat_submission_outputs, api_name="click_suggestion_1"
        )
        _insights_suggestion_2_btn.click(
            fn=handle_suggested_question_click,
            inputs=[_insights_suggestion_2_btn] + suggestion_click_inputs_base,
            outputs=chat_submission_outputs, api_name="click_suggestion_2"
        )
        _insights_suggestion_3_btn.click(
            fn=handle_suggested_question_click,
            inputs=[_insights_suggestion_3_btn] + suggestion_click_inputs_base,
            outputs=chat_submission_outputs, api_name="click_suggestion_3"
        )

        # This button's event is handled by app.py's .then chain calling handle_refresh_analytics_graphs
        # So, build_and_wire_tab needs to return this button and the list of components its handler updates.
        # The handle_refresh_analytics_graphs is now part of this module.
        # So, apply_filter_btn.click can be wired here directly.

        # The output list for handle_refresh_analytics_graphs needs to include states as well.
        refresh_outputs_plus_states = components_for_refresh_outputs[:1+len(PLOT_CONFIGS)+9] + \
                                      [active_panel_action_state, current_chat_plot_id_st, chat_histories_st, plot_data_for_chatbot_st] + \
                                      components_for_refresh_outputs[1+len(PLOT_CONFIGS)+9 : 1+len(PLOT_CONFIGS)+9 + 4*len(PLOT_CONFIGS)] + \
                                      [explored_plot_id_state] + \
                                      components_for_refresh_outputs[1+len(PLOT_CONFIGS)+9 + 4*len(PLOT_CONFIGS):]


        apply_filter_btn.click(
            fn=handle_refresh_analytics_graphs,
            inputs=[token_state, _date_filter_selector, _custom_start_date_picker, _custom_end_date_picker, chat_histories_st],
            outputs=refresh_outputs_plus_states, # Use the constructed list
            show_progress="full"
        )

    # Return components that app.py might need for .then() chains or direct interaction.
    # For now, app.py mainly needs the list of components that handle_refresh_analytics_graphs updates,
    # if that handler is called from app.py. Since it's now wired internally, this might be simpler.
    return (apply_filter_btn, _date_filter_selector, _custom_start_date_picker, _custom_end_date_picker, 
            _analytics_status_md, # For initial load
            components_for_refresh_outputs, # The full list of components for refresh
            refresh_outputs_plus_states # The list including states for refresh
           )