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services/dashboard_sync_handlers.py
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# handlers/dashboard_sync_handlers.py
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import gradio as gr
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import logging
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# Assuming these functions are in the specified paths and are importable
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from services.state_manager import process_and_store_bubble_token
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from services.sync_logic import sync_all_linkedin_data_orchestrator
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from ui.ui_generators import display_main_dashboard
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class DashboardSyncHandlers:
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def __init__(self, dashboard_components, token_state_ref, url_user_token_display_ref, org_urn_display_ref, status_box_ref):
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self.components = dashboard_components
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self.token_state = token_state_ref # gr.State object
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self.url_user_token_display = url_user_token_display_ref # gr.Textbox object
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self.org_urn_display = org_urn_display_ref # gr.Textbox object
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self.status_box = status_box_ref # gr.Textbox object
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logging.info("DashboardSyncHandlers initialized.")
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def initial_load_sequence(self, url_token, org_urn_val, current_token_state_value):
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"""
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Handles the initial loading sequence after URL parameters are fetched.
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This is called by app.load().then() or org_urn_display.change().
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"""
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logging.info(f"Initial load sequence triggered. URL Token: {'Set' if url_token else 'Not Set'}, Org URN: {org_urn_val}")
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# process_and_store_bubble_token is expected to return:
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# status_msg, new_state_dict, btn_update_dict (for sync_data_btn)
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status_msg, new_state_dict, btn_update_dict = process_and_store_bubble_token(
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url_token,
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org_urn_val,
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current_token_state_value # Pass the current value of the state
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)
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# display_main_dashboard expects the new state dictionary
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dashboard_content_html = display_main_dashboard(new_state_dict)
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# Returns:
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# 1. Update for status_box (value)
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# 2. New value for token_state (this will update the gr.State object)
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# 3. Update for sync_data_btn (e.g., gr.update(visible=True, interactive=True))
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# 4. Update for dashboard_display_html (value)
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return status_msg, new_state_dict, btn_update_dict, dashboard_content_html
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async def trigger_sync_and_refresh(self, current_token_state_value, url_token, org_urn_val):
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"""
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Orchestrates the full sync process when the sync button is clicked.
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This combines sync_all_linkedin_data_orchestrator and subsequent updates.
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Yields updates for a chained sequence.
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"""
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logging.info("Sync data button clicked. Starting sync process.")
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# Part 1: sync_all_linkedin_data_orchestrator
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# Expected to return: html_status_update_str, updated_token_state_dict
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sync_status_html, updated_token_state_after_sync = await sync_all_linkedin_data_orchestrator(current_token_state_value)
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yield sync_status_html, updated_token_state_after_sync # Updates sync_status_html_output, token_state
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# Part 2: process_and_store_bubble_token again with potentially updated token_state
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# This ensures the state is consistent after sync and reflects any new data fetched by sync_all_linkedin_data_orchestrator
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# It might also re-evaluate if sync button should be visible/interactive
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status_msg_after_sync, final_token_state_dict, sync_btn_update_after_sync = process_and_store_bubble_token(
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url_token, # url_token and org_urn_val might be stale if not re-fetched, but usually static for a session
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org_urn_val,
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updated_token_state_after_sync # Use the state updated by sync_all_linkedin_data_orchestrator
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)
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yield status_msg_after_sync, final_token_state_dict, sync_btn_update_after_sync # Updates status_box, token_state, sync_data_btn
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# Part 3: Refresh dashboard display
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dashboard_html_after_sync = display_main_dashboard(final_token_state_dict)
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yield dashboard_html_after_sync # Updates dashboard_display_html
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# The subsequent calls to refresh_analytics_graphs_ui and run_agentic_pipeline_autonomously
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# will be chained in app.py using .then() on this sync event, using the updated token_state.
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def setup_event_handlers(self, initial_load_trigger_component, agentic_handlers_ref, analytics_handlers_ref):
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"""
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Sets up event handlers for the dashboard and sync tab.
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initial_load_trigger_component is typically org_urn_display.
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"""
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logging.info("Setting up dashboard/sync event handlers.")
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# Initial load sequence
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# This is more complex due to the chained .then() calls for analytics and agentic pipeline
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# The main app.py will handle the .then() chaining. This handler provides the core functions.
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# The initial_load_sequence method itself will be the 'fn' for the first .change() or .load().
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# Sync button click
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# The sync_data_btn.click event will also have .then() chains in app.py
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# We define the primary function here.
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self.components['sync_data_btn'].click(
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fn=self.trigger_sync_and_refresh,
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inputs=[
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self.token_state,
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self.url_user_token_display, # Pass the component to get its current value
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self.org_urn_display # Pass the component to get its current value
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],
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outputs=[
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self.components['sync_status_html_output'], # Output 1 from sync_all_linkedin_data
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self.token_state, # Output 2 from sync_all_linkedin_data
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self.status_box, # Output 1 from process_and_store (after sync)
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self.token_state, # Output 2 from process_and_store (after sync)
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self.components['sync_data_btn'], # Output 3 from process_and_store (after sync)
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self.components['dashboard_display_html'] # Output from display_main_dashboard (after sync)
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],
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show_progress="full",
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api_name="sync_linkedin_data_full_flow"
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# Note: The number of outputs here must match the total number of yields in trigger_sync_and_refresh
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# trigger_sync_and_refresh yields:
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# 1. sync_status_html (for sync_status_html_output)
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# 2. updated_token_state_after_sync (for token_state)
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# --- then ---
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# 3. status_msg_after_sync (for status_box)
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# 4. final_token_state_dict (for token_state)
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# 5. sync_btn_update_after_sync (for sync_data_btn)
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# --- then ---
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# 6. dashboard_html_after_sync (for dashboard_display_html)
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# This means the Gradio event needs to be structured to handle these yields if they are separate updates.
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# However, Gradio's .click typically expects a single function that returns all outputs or a generator
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# that yields tuples of updates for all outputs at each step.
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# For simplicity, trigger_sync_and_refresh should be an async generator yielding tuples for all outputs.
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# Let's refine trigger_sync_and_refresh to yield tuples.
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)
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logging.info("Dashboard/sync event handlers setup complete.")
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async def refined_trigger_sync_and_refresh(self, current_token_state_value, url_token, org_urn_val):
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"""
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Refined orchestrator for sync process, yielding tuples for all outputs at each step.
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Outputs:
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1. self.components['sync_status_html_output']
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2. self.token_state
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3. self.status_box
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4. self.components['sync_data_btn'] (this is tricky, might need to be separate or handled by token_state change)
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5. self.components['dashboard_display_html']
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Let's simplify the outputs for the direct click and handle subsequent updates via .then() in app.py
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The click will call sync_all_linkedin_data_orchestrator.
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Then, .then() will call process_and_store_bubble_token.
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Then, .then() will call display_main_dashboard.
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And further .then() for agentic and analytics.
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So, this handler will provide the individual functions.
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"""
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pass # The original structure in app.py with chained .then() is better.
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# This class will hold the functions called by those .then() chains.
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# sync_all_linkedin_data_orchestrator
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# process_and_store_bubble_token (already imported)
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# display_main_dashboard (already imported)
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