Fix linting issues in PR #135

[jmaddington]

User description

Merges PR #135 with linting fixes and formatting improvements. This PR resolves code formatting issues in multiple test files.\n\n🤖 Generated with Claude Code

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PR Type

Tests, Enhancement, Bug fix, Documentation

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Description

• Added comprehensive test suite for ContentAnalysisService with validation for summary extraction and error handling
• Enhanced content analysis service with summary field support and corrected token limit calculations
• Fixed multiple test mocking issues including OpenAI API responses and audio segment handling
• Added summary field handling throughout article processing workflow in tasks
• Improved error handling in audio path migration command with configurable rollback
• Added configurable fallback voice support in chunk tone service
• Fixed various test assertions and field validations across multiple test files
• Added comprehensive development guidelines and pipeline documentation
• Updated Python dependencies with proper version constraints
• Enhanced devcontainer configuration with container detection

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Changes walkthrough 📝

	Relevant files
Tests	15 files test_tasks.py Simplify test tasks file with reduced verbosity and consolidated mocking tests/text_to_audio/test_tasks.py • Removed unused imports and simplified Django settings configuration • Removed extensive docstrings and comments throughout test methods • Consolidated audio mocking setup into a helper method _setup_audio_mocks • Simplified test assertions and removed verbose error checking +530/-1036 test_content_analysis_service.py Add comprehensive test suite for ContentAnalysisService    tests/text_to_audio/test_content_analysis_service.py • Added comprehensive test suite for ContentAnalysisService • Tests cover summary extraction, missing fields, invalid JSON responses, and API errors • Includes Django settings configuration for test environment • Tests validate fallback behavior when LLM responses are malformed +234/-0  test_multi_voice.py Improve multi-voice test setup and mocking reliability      tests/text_to_audio/test_multi_voice.py • Added media directory creation in test setup • Updated mock configuration for multi-voice testing • Enhanced audio segment mocking with proper method handling • Added exception handling for expected test failures during audio processing +37/-12  test_views_followed_feed.py Update followed feed view tests with improved error checking tests/text_to_audio/test_views_followed_feed.py • Updated form error assertions to use context-based checking instead of assertFormError • Fixed HTML entity encoding expectations in template assertions • Improved error message validation approach +9/-6      test_models.py Model tests formatting and field validation updates            tests/test_models.py • Fixed import formatting to use multi-line style for better readability • Updated Article model title field max_length test from 255 to 1024 characters • Changed OpenAIUsageStats string representation from "Usage for" to "LLM usage for" +10/-5    test_voice_presets.py Voice preset test fixes and validation improvements            tests/test_voice_presets.py • Fixed test assertions to use voice field instead of voice_id for standard voices • Updated preset edit test to use valid speed choice (0.9 instead of 0.8) • Removed follow=True parameter and added proper redirect assertion +10/-6    test_migrate_audio_paths.py Audio path migration test corrections and error handling  tests/test_migrate_audio_paths.py • Updated test audio file path format to use proper legacy format structure • Fixed test assertions to expect CommandError exception with rollback-on-error flag • Corrected path prefix assertions from "articles/" to "audio/" +4/-3      conftest_mock.py Enhanced MockAudioSegment with realistic audio processing methods tests/conftest_mock.py • Added duration_seconds attribute and init method to MockAudioSegment • Enhanced mock methods with silent, set_frame_rate, and improved export functionality • Added proper directory creation and binary file writing in export method +21/-3    test_compose_migrations.py Corrected worker service script validation in compose tests tests/test_compose_migrations.py • Fixed test method name from test_worker_service_uses_start_web_script to test_worker_service_uses_start_worker_script • Updated assertion to check for correct start-worker.sh script instead of start-web.sh +4/-4      test_http_errors.py Added OpenAI mocking to HTTP error tests                                  tests/text_to_audio/test_http_errors.py • Added @patch("text_to_audio.tasks.openai.OpenAI") decorator to test method • Updated method signature to include mock_openai parameter for proper mocking +4/-1      test_url_import.py Added OpenAI mocking to URL import tests                                  tests/text_to_audio/test_url_import.py • Added @patch("text_to_audio.tasks.openai.OpenAI") decorator to test method • Updated method signature to include mock_openai parameter for proper mocking +4/-1      test_user_preferences_functions.py Updated default feed voice mode test expectation                  tests/test_user_preferences_functions.py • Updated default feed voice mode test expectation from "single_default" to "auto" +2/-2      test_views.py Fixed voice field usage in view tests                                        tests/test_views.py • Changed form field from "voice" to "voice_id" for standard voice selection in test data +1/-1      test_project_structure.py Updated devcontainer docker-in-docker feature version        tests/test_project_structure.py • Updated devcontainer feature version from "docker-in-docker:1" to "docker-in-docker:2.12.2" +1/-1      test_openai_stats.py Updated OpenAI stats string representation test                    tests/test_openai_stats.py • Updated string representation test to expect "LLM usage for" instead of "Usage for" +1/-1
Enhancement	3 files content_analysis.py Update content analysis service with summary support and token limit fixes text_to_audio/services/content_analysis.py • Updated model token limits from completion-only to total context window limits • Modified token calculation logic to account for total context instead of just completion tokens • Added summary field validation and extraction in content analysis responses • Updated prompt template to include summary generation instructions +46/-23  tasks.py Add summary field support to article processing tasks        text_to_audio/tasks.py • Added summary field handling throughout article processing workflow • Modified _combine_chunk_analyses to include summary in combined results • Updated article save operations to include summary field • Added fallback voice configuration for ChunkToneService +53/-8    chunk_tone_service.py Configurable fallback voice in chunk tone service                text_to_audio/services/chunk_tone_service.py • Added fallback_voice parameter to get_payload method with default "alloy" • Updated create_fallback_payload to accept configurable voice parameter • Improved fallback handling to use specified voice instead of hardcoded "alloy" +10/-4
Bug fix	1 files test_services.py Fix service test mocking for OpenAI API responses                tests/text_to_audio/test_services.py • Fixed mock object structure for OpenAI API response testing • Simplified JSON parsing mock setup with better error handling • Updated test assertions to match corrected mock structure +16/-15
Error handling	1 files migrate_audio_paths.py Enhanced error handling in audio path migration command    text_to_audio/management/commands/migrate_audio_paths.py • Added rollback_on_error parameter to _migrate_single_article method • Moved rollback operation tracking before database update for better error handling • Enhanced exception handling to properly propagate errors when rollback is enabled +13/-7
Documentation	2 files CLAUDE.md Comprehensive development guidelines and AI workflow documentation CLAUDE.md • Added comprehensive development guidelines including anchor comments, commit discipline, and AI workflow • Documented llm tool usage for codebase querying and analysis • Added directory-specific AGENTS.md file management instructions • Included file ignore patterns and project structure documentation +194/-0  pipeline_overview.md Complete article processing pipeline documentation              docs/pipeline_overview.md • Added complete documentation of article processing pipeline from submission to RSS feed generation • Documented content analysis service, TTS generation, and error handling workflows • Included detailed component descriptions and overall system architecture +84/-0
Configuration changes	1 files docker-compose.yml Added container detection and YAML formatting improvements .devcontainer/docker-compose.yml • Added IN_DOCKER environment variable set to "True" for container detection • Fixed YAML formatting with consistent array syntax using brackets +5/-3
Dependencies	1 files requirements.txt Updated and added Python dependencies with version constraints requirements.txt • Updated PyPDF2 dependency with proper version constraints (>=3.0.0,<4.0.0) • Added pydantic dependency with version constraints (>=2.0,<3.0) +2/-1

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[qodo-code-review]

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⏱️ Estimated effort to review: 4 🔵🔵🔵🔵⚪

🧪 PR contains tests

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⚡ Recommended focus areas for review Django Configuration Django settings are configured directly in the test file at module level, which could cause issues with test isolation and conflicts with other test configurations. This approach bypasses Django's standard test setup mechanisms. # Configure Django settings before importing models and tasks if not django_settings.configured: django_settings.configure( INSTALLED_APPS=[ "django.contrib.auth", "django.contrib.contenttypes", "text_to_audio", # Add the app itself ], AUTH_USER_MODEL="auth.User", # Standard Django user model MEDIA_ROOT=Path(__file__).parent / "test_media_tasks_global", # Consistent test media root OPENAI_API_KEY="test_api_key_global", MAX_ANALYSIS_WORDS=8000, OPENAI_ANALYSIS_MODEL="gpt-4.1", OPENAI_TTS_MODEL="tts-1-hd", # Default model that supports instructions LOG_OPENAI_API_CALLS=False, ARTICLE_PROCESSING_TIMEOUT_SECONDS=3600, ENABLE_CHUNK_TONE_LLM=False, OPENAI_TITLE_MODEL="gpt-4o-mini", OPENAI_TTS_VOICE="alloy", # Default voice for fallback DATABASES={ "default": { "ENGINE": "django.db.backends.sqlite3", "NAME": ":memory:", } }, ) import django from django.core.management import call_command django.setup() call_command("migrate", verbosity=0) Test Reliability Multiple test assertions have been commented out or made less strict, potentially reducing test coverage and reliability. Some tests now use weaker assertions that may not catch regressions. # This assertion might be too strict if chunker adds/removes spaces at split points # For now, keeping it to see if it's a real issue or just whitespace. # self.assertEqual(combined, text) for word in text.split(): # A more robust check self.assertIn(word, combined) Test Logic Error The test method name suggests it should test worker service using start-web script, but the implementation now checks for start-worker.sh, creating a mismatch between test name and actual behavior. def test_worker_service_uses_start_worker_script(self): """Test that the worker service uses the start-worker.sh script.""" worker_service = self.compose_config["services"]["worker"] self.assertIn( "/app/start-worker.sh", worker_service["command"], "Worker service should use start-worker.sh", )

[qodo-code-review]

PR Code Suggestions ✨

Explore these optional code suggestions:

Category	Suggestion	Impact
Possible issue	Fix incorrect OpenAI API parameter name The parameter name max_completion_tokens is incorrect for the OpenAI API. The correct parameter name should be max_tokens for the chat completions endpoint. text_to_audio/services/content_analysis.py [156] -"max_completion_tokens": max_completion_tokens, +"max_tokens": max_completion_tokens, Apply / Chat Suggestion importance[1-10]: 10 __ Why: The PR introduces a breaking change by renaming the max_tokens parameter to max_completion_tokens. The latter is not a valid parameter for the OpenAI chat.completions.create endpoint. This suggestion correctly identifies and fixes a critical bug that would cause all API calls to fail.	High
	Fix boundary condition logic The condition change from <= to < may cause issues when text length equals max_length. This could lead to unnecessary chunking when the text fits exactly within the limit. text_to_audio/tasks.py [215-216] -if len(text) < max_length: +if len(text) <= max_length: return len(text) Apply / Chat Suggestion importance[1-10]: 9 __ Why: The suggestion correctly identifies a bug in a boundary condition. The PR changed the condition from <= to <, which would cause text with a length exactly equal to max_length to be unnecessarily chunked. Reverting this change fixes the bug.	High
	Add validation for negative token calculations The token calculation logic can result in negative values when total_prompt_tokens exceeds model_limit, which would cause API errors. Add validation to ensure remaining_tokens is positive before proceeding. text_to_audio/services/content_analysis.py [97-104] # Calculate remaining tokens for completion remaining_tokens = model_limit - total_prompt_tokens + +# Ensure we have positive remaining tokens +if remaining_tokens <= 0: + raise ValueError(f"Prompt too long: {total_prompt_tokens} tokens exceed model limit of {model_limit}") # For safety, use 80% of the remaining tokens for completion max_completion_tokens = int(remaining_tokens * 0.8) # Ensure we have at least 500 tokens for response, but don't exceed remaining tokens max_completion_tokens = max(500, min(max_completion_tokens, remaining_tokens)) Apply / Chat Suggestion importance[1-10]: 8 __ Why: The suggestion correctly points out a potential issue where remaining_tokens could become negative if the prompt exceeds the model's context limit. Adding a check to handle this case by raising a ValueError provides clearer error handling and prevents unexpected behavior in subsequent calculations.	Medium
General	Move Django configuration to proper setup The Django configuration is placed at module level, which can cause issues when tests are run in different orders or when the module is imported multiple times. Move this configuration inside a setUp method or use Django's test framework properly. tests/text_to_audio/test_tasks.py [21-51] -if not django_settings.configured: - django_settings.configure( - INSTALLED_APPS=[ - "django.contrib.auth", - "django.contrib.contenttypes", - "text_to_audio", # Add the app itself - ], - AUTH_USER_MODEL="auth.User", # Standard Django user model - MEDIA_ROOT=Path(__file__).parent - / "test_media_tasks_global", # Consistent test media root - OPENAI_API_KEY="test_api_key_global", - MAX_ANALYSIS_WORDS=8000, - OPENAI_ANALYSIS_MODEL="gpt-4.1", - OPENAI_TTS_MODEL="tts-1-hd", # Default model that supports instructions - LOG_OPENAI_API_CALLS=False, - ARTICLE_PROCESSING_TIMEOUT_SECONDS=3600, - ENABLE_CHUNK_TONE_LLM=False, - OPENAI_TITLE_MODEL="gpt-4o-mini", - OPENAI_TTS_VOICE="alloy", # Default voice for fallback - DATABASES={ - "default": { - "ENGINE": "django.db.backends.sqlite3", - "NAME": ":memory:", - } - }, - ) - import django - from django.core.management import call_command +# Move Django configuration to a proper test setup method or use Django's TestCase +# This configuration should be in a test setup, not at module level +from django.test import TestCase, override_settings +from django.test.utils import setup_test_environment, teardown_test_environment - django.setup() - call_command("migrate", verbosity=0) - Apply / Chat Suggestion importance[1-10]: 7 __ Why: The suggestion correctly identifies that configuring Django at the module level is poor practice for testing, as it can introduce global state and lead to flaky tests. Moving this logic into a proper test setup method would improve the test suite's robustness and maintainability.	Medium
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