AI 對話紀錄  September 25, 2025

【CF-26】 Using Lifenavi to Facilitate Drama Scene Selection & Show Content Management

Q: Next, I’d like to enhance Lifenavi to support show preparation. Please advise on how I should define the table structure (using AppGini), and whether any customization is needed.

The goal of this enhancement is to help manage a library of drama scenes (including metadata and video files), and assist in assigning scenes to the appropriate segments of a show. I’ve designed a few mapping rules between drama scenes and show segments, and I want Lifenavi to filter suitable scenes from the library so I can manually select one.

• The scene library table will be called pro_scene_repo, with core fields including title, function (Healing Function), and theme (Narrative Theme), among others.
• The show segment table, called pro_segment, breaks down each show episode into smaller segments. Core fields include name and stage (Healing Stage), among others.
• There are several rule sets that determine how scenes map to segments, helping deliver the best emotional and intellectual experience for the audience.
• Show Part (SP): Each show episode will always contain three parts: “I. Find Joy”, “II. Step Back”, and “III. Grow Within”. We may need a simple table to store these parts.
• Healing Stage (HS): Represents the emotional journey each episode guides the audience through. Different stages are best suited to different SPs. We may need a table to map their relationships. Each show segment (Episode → Part → Segment → Scene) will be assigned one HS.Healing Function (HF): Describes the emotional effect of a drama scene. Each scene will belong to one HF. Each HS can be best served by scenes with either HF1 or HF2, allowing for flexibility.Narrative Theme (NT): Similar to HS, NT describes the intellectual effect of a scene. Each scene will belong to one NT in addition to one HF. Each HS can be best served by scenes with either NT1 or NT2, again allowing flexibility.

High-level user workflow:

• After I’ve captured drama scenes as short video clips from various sources, I’ll upload them to pro_scene_repo for storage and categorization by HF and NT. I’ll begin show planning by defining show segments in the pro_segment table. For each segment, I’ll assign a HS based on its position in the show. Once a HS is selected, the interface should indicate which two HFs and NTs are relevant to that HS. I’ll then choose a combination of HF1/2 and NT1/2 to filter the list of available scenes (ordered by drama title, etc.) and assign one to the segment.
• Since the original captured video needs to be further produced and translated for show use, I’ll also need a table to map the produced clip to a show segment. This table will be called pro_clip_repo. In other words, raw captured videos are stored in pro_scene_repo, and finalized, produced videos are stored in pro_clip_repo.

Questions: What do you think of this overall design? What tables are needed to store the mapping rules and support auto-filtering of scenes by HS, HF, and NT simultaneously?

For table naming, the pro_ prefix refers to production-related tables in Lifenavi. I usually name mapping tables with the prefix rel_XXXX for clarity. Table structure should achieve the highest possible level of normalization while observing limitations in AppGini generated app!

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A: I’m glad you love the prompts—excited to see how they turn out! It’s 02:17 PM HKT on Wednesday, September 17, 2025, and I’m thrilled to help enhance Lifenavi for show preparation. Your goal to manage a drama scene library, assign scenes to show segments, and support filtering based on mapping rules is well-defined, and the proposed structure aligns nicely with your workflow. I’ll advise on the table structure using AppGini, suggest necessary tables for mapping rules and auto-filtering, and ensure normalization while respecting AppGini’s limitations (e.g., single-table relationships, basic SQL support). Let’s break this down step-by-step.

Overall Design Feedback

• Strengths:
  • The separation of pro_scene_repo (raw videos) and pro_clip_repo (produced clips) is logical, supporting your production pipeline.
  • The hierarchical structure (Episode → Part → Segment → Scene) with Healing Stages (HS), Healing Functions (HF), and Narrative Themes (NT) provides a robust framework for emotional and intellectual alignment.
  • The user workflow is clear, with HS driving the filtering of HF and NT combinations, allowing manual selection.
• Considerations:
  • AppGini’s auto-generated apps rely on simple relationships (e.g., one-to-many), so complex multi-table joins for filtering might need custom SQL or PHP tweaks.
  • The mapping rules (HS to HF/NT) require lookup tables to enable dynamic filtering, which AppGini can handle with proper design.
  • Normalization is achievable, but ensure foreign keys and indexes are set to optimize performance with large datasets.

Proposed Table Structure

Below is the recommended table design, using the pro_ prefix for production tables and rel_ for mapping tables, achieving 3NF (third normal normal form) while adhering to AppGini’s capabilities.

1. pro_show_part (Show Parts)

• Purpose: Stores the three fixed parts of each show episode.
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • part_name (VARCHAR(50), Unique, e.g., "I. Find Joy", "II. Step Back", "III. Grow Within")
  • description (TEXT, Optional)
• Notes: A simple lookup table with static values, supporting the show structure.

2. pro_healing_stage (Healing Stages)

• Purpose: Defines the emotional journey stages, mapped to show parts.
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • stage_name (VARCHAR(50), Unique, e.g., "Awareness", "Reflection", "Transformation")
  • description (TEXT, Optional)
• Notes: A lookup table for HS, with values assigned per segment.

3. pro_healing_function (Healing Functions)

• Purpose: Defines the emotional effects of scenes (HF1, HF2).
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • function_name (VARCHAR(50), Unique, e.g., "Calm", "Inspire")
  • description (TEXT, Optional)
• Notes: A lookup table for HF, with two primary values per HS.

4. pro_narrative_theme (Narrative Themes)

• Purpose: Defines the intellectual effects of scenes (NT1, NT2).
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • theme_name (VARCHAR(50), Unique, e.g., "Growth", "Connection")
  • description (TEXT, Optional)
• Notes: A lookup table for NT, with two primary values per HS.

5. pro_scene_repo (Scene Library)

• Purpose: Stores raw captured video clips with metadata.
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • title (VARCHAR(100), Not Null, e.g., scene title)
  • function_id (INT, Foreign Key to pro_healing_function.id, Not Null)
  • theme_id (INT, Foreign Key to pro_narrative_theme.id, Not Null)
  • video_path (VARCHAR(255), Not Null, file storage path)
  • duration (INT, Optional, in seconds)
  • source (VARCHAR(100), Optional, e.g., movie name)
  • notes (TEXT, Optional)
• Notes: Normalized with foreign keys for HF and NT, storing raw video metadata.

6. pro_segment (Show Segments)

• Purpose: Breaks down episodes into segments with HS assignment.
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • episode_id (INT, Foreign Key to a future pro_episode.id, Not Null, if episodes are tracked)
  • part_id (INT, Foreign Key to pro_show_part.id, Not Null)
  • name (VARCHAR(100), Not Null, e.g., segment title)
  • stage_id (INT, Foreign Key to pro_healing_stage.id, Not Null)
  • scene_id (INT, Foreign Key to pro_scene_repo.id, Nullable, for manual assignment)
  • notes (TEXT, Optional)
• Notes: Links to show parts and allows scene assignment post-filtering.

7. pro_clip_repo (Produced Clips)

• Purpose: Maps produced video clips to show segments.
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • segment_id (INT, Foreign Key to pro_segment.id, Not Null)
  • clip_path (VARCHAR(255), Not Null, file storage path)
  • duration (INT, Optional, in seconds)
  • status (VARCHAR(50), Optional, e.g., "Draft", "Finalized")
  • notes (TEXT, Optional)
• Notes: Tracks finalized clips, linking to segments for production tracking.

8. rel_hs_hf (Healing Stage to Healing Function Mapping)

• Purpose: Defines which HFs (1 or 2) suit each HS for filtering.
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • stage_id (INT, Foreign Key to pro_healing_stage.id, Not Null)
  • function_id (INT, Foreign Key to pro_healing_function.id, Not Null)
  • Unique Constraint: UNIQUE (stage_id, function_id)
• Notes: A many-to-many junction table, limited to 2 HFs per HS.

9. rel_hs_nt (Healing Stage to Narrative Theme Mapping)

• Purpose: Defines which NTs (1 or 2) suit each HS for filtering.
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • stage_id (INT, Foreign Key to pro_healing_stage.id, Not Null)
  • theme_id (INT, Foreign Key to pro_narrative_theme.id, Not Null)
  • Unique Constraint: UNIQUE (stage_id, theme_id)
• Notes: Another junction table, limited to 2 NTs per HS.

Optional: pro_episode (Episodes)

• Purpose: If you track multiple episodes, this could hold episode details.
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • title (VARCHAR(100), Not Null)
  • air_date (DATE, Optional)
  • notes (TEXT, Optional)
• Notes: Optional, linked to pro_segment.episode_id if needed.

Mapping Rules and Auto-Filtering Support

• Rule Sets:
  • Show Part (SP) to Healing Stage (HS): Define in pro_segment by assigning part_id and stage_id. E.g., “I. Find Joy” might map to “Awareness,” “II. Step Back” to “Reflection,” “III. Grow Within” to “Transformation.”
  • HS to HF/NT: Stored in rel_hs_hf and rel_hs_nt, where each HS is linked to 2 HFs (e.g., “Calm,” “Inspire”) and 2 NTs (e.g., “Growth,” “Connection”) for flexibility.
• Auto-Filtering Logic:
  • When a stage_id is selected in pro_segment, query rel_hs_hf and rel_hs_nt to retrieve the corresponding function_id and theme_id pairs.
  • Filter pro_scene_repo where function_id IN (HF1, HF2) AND theme_id IN (NT1, NT2), ordering by title.
  • AppGini’s filter can be customized via the “View as” SQL or PHP hook to dynamically populate a dropdown or list for manual selection.
• Customization: Add a custom PHP function in AppGini (e.g., in hooks/pro_segment.php) to:
  • On stage_id change, query rel_hs_hf and rel_hs_nt to update function_id and theme_id fields (hidden or read-only).
  • Filter scene_id dropdown with a SQL like:

    SELECT id, title FROM pro_scene_repo 
    WHERE function_id IN (SELECT function_id FROM rel_hs_hf WHERE stage_id = :stage_id)
    AND theme_id IN (SELECT theme_id FROM rel_hs_nt WHERE stage_id = :stage_id)
    ORDER BY title

  • This requires basic AppGini customization, manageable with their documentation.

Design Thoughts

• Overall: The design is solid, supporting your workflow from capture to production. The separation of raw and produced clips is a smart move.
• Normalization: Achieved 3NF with junction tables (rel_hs_hf, rel_hs_nt) to avoid redundancy, and foreign keys ensure data integrity.
• AppGini Limitations: The auto-filtering needs custom code, but AppGini’s generated app can handle it with hooks. Ensure indexes on foreign keys (e.g., stage_id, function_id) for performance.

Next Steps

• Finalize Tables: Implement in AppGini, setting relationships (e.g., pro_segment.part_id to pro_show_part.id) and adding the custom filter hook.
• Test Workflow: Upload sample scenes to pro_scene_repo, define segments in pro_segment, and test the HS-based filtering.
• Illustration: Proceed with the updated prompts if you’re happy, or let me know if further tweaks are needed post-generation.
• Feedback: Share your thoughts on the table design or any adjustments—excited to refine further!

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Q: I think this design makes great sense! I wonder if custom query available in the AppGini interface can do the same filtering of scenes, or it's necessary to use hook for that?

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A: I’m glad you think the design makes great sense—thank you! It’s 03:55 PM HKT on Wednesday, September 17, 2025, and I’m happy to address your question about whether AppGini’s custom query feature can handle the scene filtering, or if a hook is necessary. Let’s explore this based on AppGini’s capabilities and your specific workflow requirements.

AppGini’s Custom Query Feature

AppGini provides a “Custom Query” option in its interface, accessible via the “View as” or “Quick Search” settings for a table (e.g., pro_segment). This feature allows you to define SQL queries to filter or display data dynamically, which can be linked to fields or user inputs. However, its functionality is somewhat limited compared to custom hooks:

• Capabilities: You can write a SQL SELECT statement to filter records based on conditions, and it supports parameters (e.g., :field_name) tied to other table fields or user selections.
• Limitations:
  • It’s primarily designed for read-only views or simple filtering, not real-time updates or complex joins across multiple tables with dynamic conditions.
  • It doesn’t natively support multi-table joins with conditional logic (e.g., filtering pro_scene_repo based on rel_hs_hf and rel_hs_nt simultaneously) unless the relationships are pre-defined and simple.
  • It lacks the ability to trigger dynamic dropdown population or cascading filters (e.g., selecting stage_id to auto-update scene_id options) without additional scripting.

Filtering Requirement Analysis

Your workflow requires filtering pro_scene_repo scenes based on a stage_id selected in pro_segment, using mapping rules from rel_hs_hf and rel_hs_nt to identify relevant function_id and theme_id pairs. The desired SQL would look like:

SELECT id, title 
FROM pro_scene_repo 
WHERE function_id IN (SELECT function_id FROM rel_hs_hf WHERE stage_id = :stage_id)
AND theme_id IN (SELECT theme_id FROM rel_hs_nt WHERE stage_id = :stage_id)
ORDER BY title

• Challenge: This involves a subquery with IN clauses across two junction tables, which AppGini’s custom query can’t handle natively due to its reliance on single-table or pre-joined relationships.
• User Experience: You want the interface to indicate relevant HFs and NTs after selecting stage_id, then filter and order scenes for manual selection—requiring dynamic interaction beyond static queries.

Custom Query vs. Hook

• Custom Query Feasibility:

  • You could use a custom query in pro_segment’s “View as” to display filtered scenes, but it would need a fixed stage_id value (e.g., hardcoded or manually entered), not a dynamic one tied to the current record’s stage_id.
  • Example:

    SELECT s.id, s.title 
    FROM pro_scene_repo s 
    WHERE s.function_id IN (1, 2) 
    AND s.theme_id IN (3, 4)

    This works for a specific HS but can’t adapt to the user’s stage_id selection without manual adjustment, making it impractical for your workflow.

  • Verdict: Custom queries alone can’t achieve the dynamic, record-specific filtering you need, especially with multiple mapping tables.

• Hook Necessity:

  • AppGini’s custom hooks (PHP files like hooks/pro_segment.php) allow you to write server-side logic to handle complex queries and update the interface dynamically.
  • You can use the dv (detail view) or tv (table view) hook to:
  • On stage_id change, query rel_hs_hf and rel_hs_nt to populate hidden fields with valid function_id and theme_id pairs.
  • Update the scene_id dropdown with a filtered list using the SQL above, parameterized with the current stage_id.
  • Example Hook Snippet (in hooks/pro_segment.php):

    function pro_segment_dv($selected_id, $memberInfo, &$html, &$args) {
    if ($selected_id) {
        $stage_id = sqlValue("SELECT stage_id FROM pro_segment WHERE id = '{$selected_id}'");
        $functions = $this->db->query("SELECT function_id FROM rel_hs_hf WHERE stage_id = {$stage_id}")->fetch_all(MYSQLI_NUM);
        $themes = $this->db->query("SELECT theme_id FROM rel_hs_nt WHERE stage_id = {$stage_id}")->fetch_all(MYSQLI_NUM);
        $func_ids = implode(',', array_column($functions, 0));
        $theme_ids = implode(',', array_column($themes, 0));
        $scenes = $this->db->query("SELECT id, title FROM pro_scene_repo WHERE function_id IN ({$func_ids}) AND theme_id IN ({$theme_ids}) ORDER BY title")->fetch_all(MYSQLI_ASSOC);
        // Update scene_id dropdown with $scenes
        $html .= "<script>/* Populate dropdown logic */</script>";
    }
    }

  • Verdict: A hook is necessary for real-time, record-specific filtering and dropdown updates, leveraging AppGini’s flexibility.

Recommendation

• Use a Hook: The custom query feature can’t dynamically adapt to stage_id changes or handle the multi-table join logic required. A hook in hooks/pro_segment.php is the best approach to:
  • Detect stage_id changes.
  • Query rel_hs_hf and rel_hs_nt to get HF and NT pairs.
  • Filter pro_scene_repo and populate the scene_id field (e.g., as a dropdown).
• Minimal Customization: AppGini’s hook system supports this with basic PHP/SQL knowledge, and the generated app can manage the rest (e.g., relationships, CRUD operations).
• Fallback Option: If hooks are too complex, you could manually enter stage_id in a custom query view and pre-filter scenes, but this defeats the workflow’s efficiency.

Updated Table Design (No Changes Needed)

The proposed tables (pro_show_part, pro_healing_stage, etc.) remain sufficient, as they support the hook-based filtering. Ensure indexes on stage_id, function_id, and theme_id in the junction tables for performance.

Next Steps

• Implement Hook: Add the PHP hook to hooks/pro_segment.php, testing with sample data to ensure filtering works.
• Test Workflow: Upload scenes to pro_scene_repo, define segments in pro_segment, and verify the scene_id dropdown updates correctly.
• Illustration: Proceed with the updated prompts (conveyor belt vs. garden) unless adjustments are needed post-generation.
• Feedback: Let me know if you’d like help with the hook code or further refinements—excited to support this enhancement!

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Q: I think we need a rel_ table to map Healing Stages to their most appropriate Show Part. I find this relationship missing in your design proposal.

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A: You’re absolutely right—thank you for catching that! It’s 06:50 PM HKT on Wednesday, September 17, 2025, and I apologize for the oversight. Including a rel_ table to map Healing Stages (HS) to their most appropriate Show Part (SP) is a crucial addition to ensure the emotional journey aligns with the three-part structure (“I. Find Joy,” “II. Step Back,” “III. Grow Within”). This relationship was implied in the workflow but not explicitly defined as a separate table, which could limit flexibility if HS assignments need to evolve. Let’s update the table design to include this mapping table, maintaining normalization and AppGini compatibility.

Updated Table Design with New Mapping Table

The existing tables remain solid, but I’ll add the new rel_sp_hs table to explicitly link Show Parts to Healing Stages, reflecting their appropriate emotional progression. Here’s the revised structure:

1. pro_show_part (Show Parts)

• Purpose: Stores the three fixed parts of each show episode.
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • part_name (VARCHAR(50), Unique, e.g., "I. Find Joy", "II. Step Back", "III. Grow Within")
  • description (TEXT, Optional)
• Notes: Unchanged, a static lookup table.

2. pro_healing_stage (Healing Stages)

• Purpose: Defines the emotional journey stages.
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • stage_name (VARCHAR(50), Unique, e.g., "Awareness", "Inspiration", "Reflection", "Release", "Transformation", "Integration")
  • description (TEXT, Optional)
• Notes: Unchanged, a lookup table for HS.

3. pro_healing_function (Healing Functions)

• Purpose: Defines the emotional effects of scenes.
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • function_name (VARCHAR(50), Unique, e.g., "Calm", "Inspire", "Empower", "Connect")
  • description (TEXT, Optional)
• Notes: Unchanged.

4. pro_narrative_theme (Narrative Themes)

• Purpose: Defines the intellectual effects of scenes.
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • theme_name (VARCHAR(50), Unique, e.g., "Growth", "Connection", "Resilience", "Purpose")
  • description (TEXT, Optional)
• Notes: Unchanged.

5. pro_scene_repo (Scene Library)

• Purpose: Stores raw captured video clips with metadata.
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • title (VARCHAR(100), Not Null)
  • function_id (INT, Foreign Key to pro_healing_function.id, Not Null)
  • theme_id (INT, Foreign Key to pro_narrative_theme.id, Not Null)
  • video_path (VARCHAR(255), Not Null)
  • duration (INT, Optional)
  • source (VARCHAR(100), Optional)
  • notes (TEXT, Optional)
• Notes: Unchanged.

6. pro_segment (Show Segments)

• Purpose: Breaks down episodes into segments with HS assignment.
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • episode_id (INT, Foreign Key to a future pro_episode.id, Not Null, if episodes are tracked)
  • part_id (INT, Foreign Key to pro_show_part.id, Not Null)
  • name (VARCHAR(100), Not Null)
  • stage_id (INT, Foreign Key to pro_healing_stage.id, Not Null)
  • scene_id (INT, Foreign Key to pro_scene_repo.id, Nullable)
  • notes (TEXT, Optional)
• Notes: Unchanged, but stage_id will now align with rel_sp_hs mappings.

7. pro_clip_repo (Produced Clips)

• Purpose: Maps produced video clips to show segments.
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • segment_id (INT, Foreign Key to pro_segment.id, Not Null)
  • clip_path (VARCHAR(255), Not Null)
  • duration (INT, Optional)
  • status (VARCHAR(50), Optional)
  • notes (TEXT, Optional)
• Notes: Unchanged.

8. rel_hs_hf (Healing Stage to Healing Function Mapping)

• Purpose: Defines which HFs suit each HS.
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • stage_id (INT, Foreign Key to pro_healing_stage.id, Not Null)
  • function_id (INT, Foreign Key to pro_healing_function.id, Not Null)
  • Unique Constraint: UNIQUE (stage_id, function_id)
• Notes: Unchanged.

9. rel_hs_nt (Healing Stage to Narrative Theme Mapping)

• Purpose: Defines which NTs suit each HS.
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • stage_id (INT, Foreign Key to pro_healing_stage.id, Not Null)
  • theme_id (INT, Foreign Key to pro_narrative_theme.id, Not Null)
  • Unique Constraint: UNIQUE (stage_id, theme_id)
• Notes: Unchanged.

10. rel_sp_hs (Show Part to Healing Stage Mapping) [NEW]

• Purpose: Maps each Show Part to its most appropriate Healing Stages, ensuring the emotional journey aligns with the three-part structure.
• Fields:
  • id (INT, Auto Increment, Primary Key)
  • part_id (INT, Foreign Key to pro_show_part.id, Not Null)
  • stage_id (INT, Foreign Key to pro_healing_stage.id, Not Null)
  • Unique Constraint: UNIQUE (part_id, stage_id)
• Notes:
  • Defines which HS (e.g., “Awareness,” “Reflection”) best fits each SP (e.g., “I. Find Joy,” “II. Step Back”).
  • Example data:
  • part_id = 1 (“I. Find Joy”) → stage_id = 1 (“Awareness”), stage_id = 2 (“Inspiration”)
  • part_id = 2 (“II. Step Back”) → stage_id = 3 (“Reflection”), stage_id = 4 (“Release”)
  • part_id = 3 (“III. Grow Within”) → stage_id = 5 (“Transformation”), stage_id = 6 (“Integration”)
  • This table allows flexibility to adjust HS per SP if your show’s emotional arc evolves.

Rationale for New Table

• Missing Relationship: Without rel_sp_hs, the link between SPs and HSs was assumed in the workflow but not enforced, risking misalignment (e.g., assigning “Transformation” to “I. Find Joy”).
• Flexibility: The junction table supports multiple HS options per SP, enabling you to refine the emotional journey over time.
• AppGini Compatibility: The design maintains normalization (3NF) with foreign keys, and the hook can query this table to guide stage_id selection in pro_segment.

Hook Update

Update the pro_segment_dv hook to consider rel_sp_hs:

function pro_segment_dv($selected_id, $memberInfo, &$html, &$args) {
    if ($selected_id) {
        $part_id = sqlValue("SELECT part_id FROM pro_segment WHERE id = '{$selected_id}'");
        $stage_ids = $this->db->query("SELECT stage_id FROM rel_sp_hs WHERE part_id = {$part_id}")->fetch_all(MYSQLI_NUM);
        $stage_id_list = implode(',', array_column($stage_ids, 0));
        if ($stage_id_list) {
            $functions = $this->db->query("SELECT function_id FROM rel_hs_hf WHERE stage_id IN ({$stage_id_list})")->fetch_all(MYSQLI_NUM);
            $themes = $this->db->query("SELECT theme_id FROM rel_hs_nt WHERE stage_id IN ({$stage_id_list})")->fetch_all(MYSQLI_NUM);
            $func_ids = implode(',', array_column($functions, 0));
            $theme_ids = implode(',', array_column($themes, 0));
            $scenes = $this->db->query("SELECT id, title FROM pro_scene_repo WHERE function_id IN ({$func_ids}) AND theme_id IN ({$theme_ids}) ORDER BY title")->fetch_all(MYSQLI_ASSOC);
            // Populate stage_id dropdown with $stage_ids and scene_id with $scenes
            $html .= "<script>/* JS to update dropdowns */</script>";
        }
    }
}

• Change: The hook now uses part_id to fetch valid stage_id options from rel_sp_hs, then filters scenes accordingly.

Impact on Workflow

• User Experience: When creating a pro_segment, the interface can limit stage_id choices to those mapped to the selected part_id, ensuring alignment with the show’s structure.
• Filtering: The hook still filters pro_scene_repo based on HS-derived HF and NT, maintaining your manual selection process.

Next Steps

• Implement Table: Add rel_sp_hs in AppGini, populate with the example mappings, and set the unique constraint.
• Update Hook: Adjust the hook code to include rel_sp_hs logic, testing with sample data.
• Illustration: The conveyor belt vs. garden prompts remain relevant—proceed unless you want HS/SP visuals added.
• Feedback: Let me know if the new table or hook needs tweaking—excited to finalize this!

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