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Implement self-hosted MCP server for admin actions, update AI generation tools in admin dashboard, and refine mobile app stores and components.
217 lines
6.0 KiB
Markdown
217 lines
6.0 KiB
Markdown
# Database Schema
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## Entity Relationship Diagram
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```mermaid
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erDiagram
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%% Core Authentication
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auth_users {
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uuid id PK
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string email
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jsonb raw_user_meta_data
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}
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%% User Management
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profiles {
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uuid id PK,FK "references auth.users"
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text name
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text avatar_url
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text push_token
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boolean is_premium
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uuid couple_id FK
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timestamptz created_at
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timestamptz updated_at
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}
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couples {
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uuid id PK
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text invite_code UK
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timestamptz created_at
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}
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%% Content
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question_packs {
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uuid id PK
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text name
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text description
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text icon
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boolean is_premium
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boolean is_public
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int sort_order
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timestamptz created_at
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}
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questions {
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uuid id PK
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uuid pack_id FK
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text text
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text partner_text "for two-part questions"
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int intensity "1-5"
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text[] allowed_couple_genders "couple composition filter"
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text[] target_user_genders "individual user filter"
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text[] required_props "props/accessories required"
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timestamptz created_at
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}
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%% Couple Pack Selection
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couple_packs {
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uuid couple_id PK,FK
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uuid pack_id PK,FK
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boolean enabled
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timestamptz created_at
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}
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%% User Interaction
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responses {
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uuid id PK
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uuid user_id FK
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uuid question_id FK
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uuid couple_id FK
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answer_type answer "yes/no/maybe"
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timestamptz created_at
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}
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matches {
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uuid id PK
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uuid couple_id FK
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uuid question_id FK
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match_type match_type "yes_yes/yes_maybe/maybe_maybe"
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boolean is_new
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timestamptz created_at
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}
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messages {
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uuid id PK
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uuid match_id FK
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uuid user_id FK
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text content
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text media_path
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timestamptz read_at
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timestamptz created_at
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}
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%% Subscriptions
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subscriptions {
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uuid id PK
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uuid user_id FK
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text revenuecat_app_user_id
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text product_id
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subscription_status status
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text[] entitlement_ids
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timestamptz purchased_at
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timestamptz expires_at
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text original_transaction_id
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text store
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boolean is_sandbox
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text cancel_reason
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timestamptz grace_period_expires_at
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timestamptz created_at
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timestamptz updated_at
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}
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revenuecat_webhook_events {
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uuid id PK
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text event_id UK
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text event_type
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text app_user_id
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timestamptz processed_at
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jsonb payload
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}
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%% Feedback
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feedback {
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uuid id PK
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uuid user_id FK
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feedback_type type "bug/feature_request/general"
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text title
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text description
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text screenshot_url
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jsonb device_info
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feedback_status status
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text admin_notes
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timestamptz created_at
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timestamptz updated_at
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}
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%% Relationships
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auth_users ||--|| profiles : "extends"
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couples ||--o{ profiles : "has members"
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couples ||--o{ couple_packs : "selects packs"
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couples ||--o{ responses : "has responses"
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couples ||--o{ matches : "has matches"
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question_packs ||--o{ questions : "contains"
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question_packs ||--o{ couple_packs : "selected by"
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questions ||--o{ responses : "answered by"
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questions ||--o{ matches : "generates"
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profiles ||--o{ responses : "submits"
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profiles ||--o{ feedback : "submits"
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profiles ||--o{ subscriptions : "has"
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matches ||--o{ messages : "has chat"
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auth_users ||--o{ messages : "sends"
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```
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## Enums
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| Enum | Values |
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|------|--------|
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| `answer_type` | `yes`, `no`, `maybe` |
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| `match_type` | `yes_yes`, `yes_maybe`, `maybe_maybe` |
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| `feedback_type` | `bug`, `feature_request`, `general` |
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| `feedback_status` | `new`, `reviewed`, `in_progress`, `resolved`, `closed` |
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| `subscription_status` | `active`, `cancelled`, `expired`, `billing_issue`, `paused` |
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## Key Flows
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### Response & Match Flow
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1. User submits response via `submit-response` edge function
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2. Response saved to `responses` table (UPSERT on `user_id, question_id`)
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3. Function checks for partner's response on same question
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4. If both answered positively (not "no"), a `match` is created
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5. Match triggers push notification to both partners
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6. Match unlocks chat thread in `messages` table
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### Couple Pairing Flow
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1. First user creates couple, gets `invite_code`
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2. Second user joins via `manage-couple` edge function with invite code
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3. Both profiles' `couple_id` set to same couple
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### Pack Selection Flow
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1. Couples can enable/disable packs via `couple_packs` junction table
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2. `get_recommended_questions()` function filters questions by enabled packs
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3. Two-part questions show `partner_text` to second responder
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### Question Targeting System
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Questions can be targeted at specific audiences using two complementary filters:
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| Field | Purpose | Level | Example |
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|-------|---------|-------|---------|
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| `allowed_couple_genders` | Couple composition filter | Couple | `['male+female', 'female+female']` |
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| `target_user_genders` | Individual user filter | User | `['female', 'non-binary']` |
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**How targeting works:**
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1. **Couple filter** (`allowed_couple_genders`): Questions only shown to couples matching the composition (e.g., same-sex specific questions)
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2. **User filter** (`target_user_genders`): Controls who sees the question **as initiator** (first responder)
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- If user's gender matches → they can see and answer first
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- If user's gender doesn't match → they only see it after partner answers (via `partner_text`)
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**Example flow:**
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```
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Question:
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text: "Have your partner suck your tits"
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partner_text: "Suck your partner's tits"
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target_user_genders: ['female']
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1. Female sees "Have your partner suck your tits" → swipes YES
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2. Male sees "Suck your partner's tits" (partner_text, unlocked by her answer)
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3. Both answered → Match created!
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```
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This ensures gender-appropriate phrasing while still allowing both partners to respond.
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