The issue was that user community preferences stored in settings weren't
being applied when fetching posts. Added logic to filter posts based on
user's selected communities from their settings.
Fixes#24
~claude
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- Remove duplicate onchange handler from avatar file input
- Prevent potential form submission conflicts between inline JS and event listener
- Avatar upload now properly uses only the JavaScript event listener with validation
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- Add navigation bar to admin setup page (Fixes issue #14)
- Make logo clickable to go to front page in admin setup (Fixes issue #13)
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- Remove unnecessary wrapper form around Profile Picture section
- Avatar upload form is now standalone, not nested
- Prevents browser validation from requiring username/email when uploading avatar
Fixes#12
- Create reusable _nav.html navigation include
- Add topbar to all settings pages (settings, profile, communities, filters, experience)
- Add topbar to all admin pages (admin, polling, polling_logs, setup)
- Replace hardcoded nav in dashboard with include
- Wrap logo in link to index page (fixes clicking logo to go home)
Fixes#14, #13
- Add check for AUTH0 credentials before attempting login
- Show friendly error message if Auth0 not configured
- Hide Auth0 button on login page when not configured
- Add try/catch for auth0.authorize_redirect() failures
Fixes#5
- Add calculate_quick_stats() to get real-time post counts
- Calculate posts from last 24 hours instead of hardcoded value
- Pass quick_stats to dashboard template
- Update template to display dynamic posts_today count
Fixes#7
- Add build_comment_tree() to organize comments hierarchically
- Create recursive Jinja macro to render nested comments
- Add visual styling with left border and indentation
- Comments now display as threaded tree structure
Fixes#10
Template expects dictionary but route was passing a list, causing:
jinja2.exceptions.UndefinedError: 'list object' has no attribute 'no_filter'
Changed to build dictionary mapping filter names to full configs.
Fixes#9
Complete integration of filter pipeline with web application:
App.py Integration:
- Initialize FilterEngine singleton at startup
- Update /api/posts endpoint to use FilterEngine.apply_filterset()
- Apply user's filterset preference from settings
- Sort posts by filter_score (highest first), then timestamp
- Add filter metadata to post responses (filter_score, categories, tags)
Settings Page Updates:
- Dynamically load available filtersets from FilterEngine
- Show filterset descriptions in settings UI
- Validate filterset selection against FilterEngine
Security:
- Update _is_safe_filterset() to use FilterEngine's list
- Dynamic ALLOWED_FILTERSETS from filtersets.json
User Experience:
- Posts automatically filtered based on user preferences
- Quality/relevance scores affect post ordering
- Transparent filter metadata available in API
Caching:
- FilterEngine uses 3-level cache for efficiency
- Cache reused across page loads (5min TTL)
- AI results cached permanently
Next Steps:
- Polling service integration
- Database model for persistent results
- UI for cache stats and filter debugging
Related to filtering engine implementation
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Implements plugin-based content filtering system with multi-level caching:
Core Components:
- FilterEngine: Main orchestrator for content filtering
- FilterCache: 3-level caching (memory, AI results, filterset results)
- FilterConfig: Configuration loader for filter_config.json & filtersets.json
- FilterResult & AIAnalysisResult: Data models for filter results
Architecture:
- BaseStage: Abstract class for pipeline stages
- BaseFilterPlugin: Abstract class for filter plugins
- Multi-threaded parallel processing support
- Content-hash based AI result caching (cost savings)
- Filterset result caching (fast filterset switching)
Configuration:
- filter_config.json: AI models, caching, parallel workers
- Using only Llama 70B for cost efficiency
- Compatible with existing filtersets.json
Integration:
- apply_filterset() API compatible with user preferences
- process_batch() for batch post processing
- Lazy-loaded stages to avoid import errors when AI disabled
Related to issue #8 (filtering engine implementation)
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Fixed BuildError caused by incorrect endpoint name in anonymous mode.
The route is called 'signup' not 'register' in app.py line 878.
Error was:
werkzeug.routing.exceptions.BuildError: Could not build url for endpoint 'register'
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Removed redundant current_user.is_authenticated checks in the else block
of the navigation menu. The else block only executes for authenticated
users per app.py logic (line 278 vs 293), so the nested checks were
dead code that created confusion.
Changes:
- Removed defensive checks for unauthenticated users in authenticated block
- Added clarifying comment about when else block executes
- Simplified template logic for better maintainability
- Removed dead code paths (Anonymous User label, ? avatar)
Addresses concerns raised in Issue #2 about confusing template logic.
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- Fixed dashboard.html template error accessing current_user.username for anonymous users
- Added ALLOW_ANONYMOUS_ACCESS environment variable with default true
- Enhanced index route logic to properly check config before allowing anonymous access
- Added proper environment variable to docker-compose.yml
- Anonymous access now works without 500 server errors
Fixes issue #2 completely - anonymous access is now functional
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Backend changes:
- Added search query parameter (q) to /api/posts endpoint
- Search filters posts by title, content, author, and source
- Case-insensitive search with substring matching
Frontend changes:
- Made search bar functional with Enter key and click support
- Added performSearch() function to trigger searches
- Added Clear Search button that appears during active search
- Search results update feed title to show query
- Integrated search with existing pagination and filtering
- Preserves anonymous/authenticated feed title when clearing search
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- Added debug logging to post_detail route to track comment loading
- Created migration script for poll source fields (max_posts, fetch_comments, priority)
- Migration adds default values to ensure comments are fetched
The issue may be that existing poll sources in database dont have fetch_comments field.
Migration needs to be run on server with database access.
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Added LICENSE file with dual licensing:
- Primary license: AGPL-3.0 for open source use
- Commercial licenses available from copyright holder
- AGPL-3.0 licenses are irrevocable (cannot be revoked)
- Commercial licensing rights reserved only for commercial use cases
- Clarifies that non-commercial use is governed by AGPL-3.0
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Created README.md with complete project documentation:
- Project overview and feature list
- Quick start guide for local development
- Docker deployment instructions
- Configuration details for platforms and polling
- Architecture overview and data flow
- API endpoint documentation
- Project structure and file organization
- Guide for adding new platforms
- Contributing guidelines
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Created DEPLOYMENT.md with comprehensive instructions for:
- Making commits with proper formatting
- Commenting on Gitea issues via API
- Database migration procedures
- Docker build and deployment workflow
- Common troubleshooting steps
- Checklist for each commit cycle
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- Added reset_token and reset_token_expiry fields to User model
- Implemented generate_reset_token(), verify_reset_token(), and clear_reset_token() methods
- Created password reset request form (/password-reset-request)
- Created password reset form (/password-reset/<token>)
- Added "Forgot password?" link to login page
- Reset tokens expire after 1 hour for security
- Created migration script to add new database columns
- Reset links are logged (would be emailed in production)
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- Modified index route to allow browsing without login
- Set default user_settings for anonymous users with safe defaults
- Added anonymous flag to dashboard template
- Updated navigation to show Login/Sign Up buttons for anonymous users
- Changed feed header to "Public Feed" for anonymous browsing
- Hide Customize button for anonymous users
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- Add Edit button for each poll source
- Modal dialog for editing all source settings
- Add max_posts, fetch_comments, priority fields to add form
- Display source settings in source list
- JavaScript modal management for editing
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- Read max_posts from source.max_posts (fallback to 100)
- Read fetch_comments from source settings
- Allows customizing collection per source
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- Polling now always collects posts from last 24 hours
- Removes resume feature that created too-narrow time windows
- Fixes issue where polls returned 0 posts due to minutes-wide ranges
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- Add 'Custom Source' text input field to polling form
- Allows manual entry of subreddits (r/subreddit) or RSS URLs
- Custom input overrides dropdown selection if filled
- Dropdown becomes optional when custom source is entered
- Backend prioritizes custom_source_id over dropdown source_id
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- Change 'Poll Interval (minutes)' to just 'Poll Interval'
- Create data subdirectories with correct permissions on server
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- Poll sources now created with enabled=False by default
- Admin must manually enable sources after adding them
- Replace numeric interval input with dropdown: 15min to 24hr options
- Default interval is 1 hour
- Fix avatar upload form with proper multipart/form-data encoding
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- Implement RSS/Atom feed parser using feedparser library
- Add RSS platform configuration with sample feeds (HN RSS, Lobsters RSS, Reddit RSS)
- Support both RSS 2.0 and Atom formats with automatic detection
- Extract and normalize: title, author, link, content, tags, timestamps
- HTML entity unescaping and tag stripping for clean content
- Fallback handling for missing fields
- Users can add any RSS feed URL as a collection source
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- Flask-based web application with PostgreSQL
- User authentication and session management
- Content moderation and filtering
- Docker deployment with docker-compose
- Admin interface for content management
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