ED2-3. Early Scene Library & Curation System Design

#Assistant / Grok


#ED2-3. Early Scene Library & Show Segment System Design

Historical design of the Lifenavi / AppGini production tables for the drama-scene library (pro_scene_repo), show segments (pro_segment), produced clips (pro_clip_repo), and the mapping rules between Show Parts (SP), Healing Stages (HS), Healing Functions (HF) and Narrative Themes (NT). Includes discussion of AppGini custom queries versus hooks for dynamic scene filtering.

Boundaries


#Lifenavi Table Structure for Scene Selection & Show 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.

High-level user workflow:

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!


#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

#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)

#2. pro_healing_stage (Healing Stages)

#3. pro_healing_function (Healing Functions)

#4. pro_narrative_theme (Narrative Themes)

#5. pro_scene_repo (Scene Library)

#6. pro_segment (Show Segments)

#7. pro_clip_repo (Produced Clips)

#8. rel_hs_hf (Healing Stage to Healing Function Mapping)

#9. rel_hs_nt (Healing Stage to Narrative Theme Mapping)

#Optional: pro_episode (Episodes)

#Mapping Rules and Auto-Filtering Support

#Design Thoughts

#Next Steps


#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?


#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:

#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

#Custom Query vs. Hook

#Recommendation

#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


#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.


#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)

#2. pro_healing_stage (Healing Stages)

#3. pro_healing_function (Healing Functions)

#4. pro_narrative_theme (Narrative Themes)

#5. pro_scene_repo (Scene Library)

#6. pro_segment (Show Segments)

#7. pro_clip_repo (Produced Clips)

#8. rel_hs_hf (Healing Stage to Healing Function Mapping)

#9. rel_hs_nt (Healing Stage to Narrative Theme Mapping)

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

#Rationale for New Table

#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>";
        }
    }
}

#Impact on Workflow

#Next Steps