Supabase Database Schema, Security Policies, and Automation Overview #99
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📝 WalkthroughWalkthroughAdds an authoritative database schema document and updates auth UI: new Changes
Sequence Diagram(s)(Skipped — changes are documentation and UI tweaks that don't introduce new multi-component control flows requiring a sequence diagram.) Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Poem
Pre-merge checks❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
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Actionable comments posted: 4
🧹 Nitpick comments (1)
Database_Schema.md (1)
235-235: Reference or include RLS policy definitions.Line 235 states: "RLS policies are defined in dedicated SQL files and applied per table." For future contributors and to ensure this documentation remains authoritative, either:
- Link to the location of those SQL files (e.g.,
backend/migrations/rls_policies.sql)- Include a brief example of a representative RLS policy so readers understand the enforcement model
- Cross-reference an adjacent document or section that contains the policies
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Database_Schema.md
🧰 Additional context used
🪛 markdownlint-cli2 (0.18.1)
Database_Schema.md
45-45: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
| ``` | ||
| teams ──< users | ||
| teams ──< tasks ──< task_comments | ||
| teams ──< tickets ──< ticket_comments | ||
| teams ──< meetings | ||
| ``` |
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Specify language for code fence (MD040).
The ASCII diagram fence is missing a language identifier. Add text or ascii after the opening backticks to comply with markdown linting standards.
🔎 Proposed fix
-```
+```text
teams ──< users
teams ──< tasks ──< task_comments
teams ──< tickets ──< ticket_comments
teams ──< meetings</details>
<details>
<summary>🧰 Tools</summary>
<details>
<summary>🪛 markdownlint-cli2 (0.18.1)</summary>
45-45: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
</details>
</details>
<details>
<summary>🤖 Prompt for AI Agents</summary>
In Database_Schema.md around lines 45 to 50, the fenced ASCII diagram is missing
a language identifier which triggers MD040; update the opening code fence to
include a language tag such as text (e.g., change totext or ```ascii) so
the fence declares the language, keeping the diagram contents unchanged.
</details>
<!-- fingerprinting:phantom:triton:mongoose -->
<!-- This is an auto-generated comment by CodeRabbit -->
| email text not null unique, | ||
| team_id uuid not null references teams(id) on delete cascade, | ||
| role text not null check (role in ('admin', 'member')), | ||
| google_refresh_token text, |
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# First, let's find and read the Database_Schema.md file
find . -name "Database_Schema.md" -type fRepository: AOSSIE-Org/Ell-ena
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# Also search for any Supabase or authentication-related configuration files
fd -t f -e "md" -e "sql" -e "ts" -e "js" | grep -iE "(schema|migration|auth|token|secret)" | head -20Repository: AOSSIE-Org/Ell-ena
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# Search for token handling and encryption patterns in the codebase
rg -i "google_refresh_token" -A 3 -B 3Repository: AOSSIE-Org/Ell-ena
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# Search for RLS (Row Level Security) policies
rg -i "row level security|rls|enable rls" -A 2Repository: AOSSIE-Org/Ell-ena
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rg -i "secrets|vault|encryption|encrypt" -t ts -t js -t sql | head -30Repository: AOSSIE-Org/Ell-ena
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# Check if there's any encryption or secrets manager configuration
rg -i "encrypt|secret|vault|aws|credentials" -t ts -t js -t dart --max-count=50Repository: AOSSIE-Org/Ell-ena
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Implement encryption for sensitive OAuth tokens and restrict token field access.
google_refresh_token is stored as plaintext and accessible to all team members via RLS policies that allow viewing other team members' profiles. This is a critical security vulnerability. Either:
- Implement field-level encryption (PostgreSQL pgcrypto or application-level encryption) before storing tokens
- Offload token management to a secrets manager (AWS Secrets Manager, HashiCorp Vault) and store only a reference in the database
- Restrict
google_refresh_tokencolumn access via PostgreSQL column-level security or separate it into a restricted table with stricter RLS policies
Also document and implement a token rotation/refresh strategy for long-lived refresh tokens.
| created_by uuid not null references auth.users(id), | ||
| assigned_to uuid references auth.users(id) |
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Document ON DELETE behavior for auth.users references.
The tasks (lines 130–131), tickets (lines 167–168), and meetings (line 213) tables all reference auth.users(id) without explicit ON DELETE constraints. If an authenticated user is deleted, the current schema does not specify what happens to their associated records—resulting in orphaned rows and potential referential integrity violations. This is inconsistent with the team_id references, which use ON DELETE CASCADE.
Specify the intended behavior: ON DELETE CASCADE, ON DELETE SET NULL, ON DELETE RESTRICT, or implement soft deletes. Update the SQL definitions and document this decision.
| description text, | ||
| meeting_date timestamptz not null, | ||
| meeting_url text, | ||
| transcription text, |
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Document the relationship between transcription and final_transcription fields.
The schema defines both transcription (text) and final_transcription (jsonb) but provides no explanation of their purpose or relationship. The schema documentation should clarify:
transcriptionstores the raw transcription data in JSON format (as text type)final_transcriptionstores the processed/cleaned transcription extracted fromtranscriptionvia a database trigger- A database trigger (
update_final_transcription) automatically populatesfinal_transcriptionwhenevertranscriptionis inserted or updated final_transcriptionis then used for downstream AI processing (summarization, embeddings, semantic search)
🤖 Prompt for AI Agents
In Database_Schema.md around line 207, add documentation that explains the
relationship between transcription (text) and final_transcription (jsonb): state
that transcription holds raw transcription JSON as text, final_transcription
stores the processed/cleaned JSON extracted from transcription, and a DB trigger
named update_final_transcription populates/updates final_transcription on
insert/update of transcription; also note that final_transcription is used for
downstream AI workflows (summarization, embeddings, semantic search).
Disabled the Resend OTP button for 60 seconds after an OTP request Added a visible countdown timer (e.g., “Resend available in 52s”) to indicate cooldown state Prevented AuthApiException (429 over_email_send_rate_limit) from being surfaced to users Improved UX by replacing raw API errors with clear, user-friendly behavior Added helper text guiding users to check spam/junk folders Automatically re-enabled the resend button once the cooldown expires
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Actionable comments posted: 0
🧹 Nitpick comments (5)
lib/screens/auth/verify_otp_screen.dart (5)
33-41: Follow Dart naming conventions for variables.Several new state variables use non-standard naming (e.g.,
_resendseconds,_canresend,_otpcomplete,_showtimertext). Dart style guidelines require camelCase for variable names.🔎 Suggested naming improvements
- Timer? _resendTimer; - bool _showtimertext = false; - bool _timerStarted = false; + Timer? _resendTimer; + bool _showTimerText = false; + bool _timerStarted = false; bool _isLoading = false; - int _resendseconds = 60; - bool _canresend = true; + int _resendSeconds = 60; + bool _canResend = true; String? _errorMessage; - bool _otpcomplete = false; + bool _otpComplete = false;Update all references throughout the file accordingly.
79-102: LGTM! Timer implementation is sound.The resend timer correctly prevents multiple concurrent timers and manages its lifecycle properly. The countdown logic and state updates work as intended.
💡 Optional: Extract timer duration as a constant
Consider defining the 60-second duration as a named constant for better maintainability:
static const int _resendCooldownSeconds = 60;This makes it easier to adjust the cooldown period in the future.
182-195: Redundant state update on Line 186.Line 186 sets
_showtimertext = true, but_startResendTimer()called immediately after on Line 191 also sets this value to true (Line 85). The first assignment is unnecessary.🔎 Proposed simplification
if (!_canresend) { - setState(() { - _showtimertext = true; - }); return; } _startResendTimer();The timer start method already handles showing the timer text.
204-210: Consider breaking long string for readability.The success message on Line 207 is quite long. While the content is excellent (it reminds users to check spam), consider splitting it for better code readability.
💡 Optional formatting suggestion
ScaffoldMessenger.of(context).showSnackBar( - const SnackBar( - content: Text('Verification code resent successfully. Please check your inbox and spam folder.'), + SnackBar( + content: Text( + 'Verification code resent successfully. ' + 'Please check your inbox and spam folder.' + ), backgroundColor: Colors.green, ), );
339-359: Remove commented-out code.Lines 340-348 contain commented-out error message display code. Since the error feedback is now handled via snackbars (which is a better UX choice), this dead code should be removed. Version control preserves the history if needed.
🔎 Proposed cleanup
children: [ - // if (_errorMessage != null) - // Padding( - // padding: const EdgeInsets.only(bottom: 16), - // child: Text( - // _errorMessage!, - // style: const TextStyle(color: Colors.red), - // textAlign: TextAlign.center, - // ), - // ), if (_showtimertext && _timerStarted) Padding(
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lib/screens/auth/verify_otp_screen.dartlib/widgets/custom_widgets.dart
🔇 Additional comments (8)
lib/widgets/custom_widgets.dart (1)
171-171: LGTM! Minor spacing adjustment improves layout density.The reduction from 40px to 30px provides tighter spacing after the subtitle, which can improve the visual flow of the authentication screens.
lib/screens/auth/verify_otp_screen.dart (7)
44-54: LGTM! Proper resource cleanup.The timer is correctly canceled in the dispose method, preventing memory leaks. This follows Flutter best practices for StatefulWidget cleanup.
56-65: LGTM! Efficient completion check with state optimization.The implementation correctly checks all OTP fields and only triggers a rebuild when the completion state actually changes, avoiding unnecessary UI updates.
66-76: LGTM! Well-designed error feedback mechanism.Clearing existing snackbars before displaying new ones prevents message stacking and ensures users see the most recent error. The styling and duration are appropriate for error notifications.
104-180: LGTM! Enhanced error handling improves user experience.The addition of user-friendly error messages and snackbar notifications significantly improves the verification flow. The pattern matching for different error types (expired, invalid, etc.) provides appropriate feedback to users.
387-397: LGTM! OTP field behavior is well-balanced.The integration of completion checking while maintaining auto-advance between fields provides a good user experience. The commented line on 393 should be removed (as noted in the earlier comment about dead code).
403-407: LGTM! Button state management prevents premature verification.Disabling the Verify button when the OTP is incomplete or during loading provides clear feedback and prevents unnecessary API calls. The condition logic is correct.
349-358: LGTM! Clear countdown display for resend cooldown.The timer text provides immediate visual feedback about when users can request another code. The formatting and conditional rendering are implemented correctly.
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Actionable comments posted: 0
🧹 Nitpick comments (1)
README.md (1)
67-73: Consider cross-referencing the detailed Database Schema documentation file in the README.The README currently links only to the external dbdiagram.io visual diagram, but a comprehensive
Database_Schema.mdfile exists in the repository with detailed table definitions, relationships, security models, and design decisions. Adding a link to this documentation alongside the diagram will improve discoverability and provide developers with a complete reference during onboarding.Suggested update
## ✨ Database Schema Ell-ena uses PostgreSQL (via Supabase) with strict Row-Level Security (RLS) and AI-optimized vector search tables. **Database Schema Diagram & Docs** - 👉 [View Database Schema](https://dbdiagram.io/d/69525ba139fa3db27bb9e56c) + 👉 [View Visual Diagram](https://dbdiagram.io/d/69525ba139fa3db27bb9e56c) | [Detailed Documentation](./Database_Schema.md)
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🧠 Learnings (1)
📚 Learning: 2025-07-06T10:06:27.181Z
Learnt from: SharkyBytes
Repo: AOSSIE-Org/Ell-ena PR: 11
File: sqls/03_task_schema.sql:57-78
Timestamp: 2025-07-06T10:06:27.181Z
Learning: SharkyBytes prefers to keep separate database RLS policies during the development phase in the Ell-ena project for clarity and debugging purposes, even when they might be combined for better security. They handle complex authorization logic on the application side during development, with plans to optimize database-level security later when focusing on production readiness.
Applied to files:
README.md
🔇 Additional comments (1)
README.md (1)
67-73: Well-placed addition that improves documentation clarity.The new "Database Schema" section successfully introduces Ell-ena's PostgreSQL/Supabase infrastructure with RLS, aligning with the PR's goal of reducing contributor friction during onboarding. The placement between the architecture overview and feature list is logical and maintains good document flow.
Note: The RLS mention is consistent with the project's development-phase approach (per learnings, separate policies are maintained for clarity and debugging purposes).
1 participant
Closes #97
Description
This pull request addresses Issue #97 by documenting and formalizing the database schema used in the project. It provides a clear overview of all existing tables, their relationships, and the corresponding SQL commands required to create them. The goal is to improve clarity, maintainability, and onboarding for contributors by ensuring the database structure is well-documented and consistent with the implemented codebase.
Changes Made
Added comprehensive database schema documentation in README format
Listed all tables currently used in the project
Documented relationships between entities (teams, users, tasks, tickets, meetings)
Included SQL editor commands for creating each table
Ensured alignment between Dart models and database tables
Screenshots or Visual Changes (if applicable)
Not applicable. This pull request focuses on documentation and schema definitions.
✅ Checklist
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Documentation
New Features
Bug Fixes / UX
Style
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