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"./backend/tests/unit/test_simple_unit.py", - "./backend/tests/unit/test_system_initialization_service.py", - "./backend/tests/unit/test_system_initialization_service_unit.py", - "./backend/tests/unit/test_team_service.py", - "./backend/tests/unit/test_team_service_tdd.py", - "./backend/tests/unit/test_team_service_unit.py", - "./backend/tests/unit/test_user_flow.py", - "./backend/tests/unit/test_user_router.py", - "./backend/tests/unit/test_user_service.py", - "./backend/tests/unit/test_user_service_tdd.py", - "./backend/tests/unit/test_user_service_unit.py", - "./backend/tests/unit/test_user_team.py", - "./backend/tests/unit/test_watsonx.py", - "./backend/vectordbs/__init__.py", - "./backend/vectordbs/chroma_store.py", - "./backend/vectordbs/data_types.py", - "./backend/vectordbs/elasticsearch_store.py", - "./backend/vectordbs/error_types.py", - "./backend/vectordbs/factory.py", - "./backend/vectordbs/milvus_store.py", - "./backend/vectordbs/pinecone_store.py", - "./backend/vectordbs/schemas/__init__.py", - "./backend/vectordbs/setup.py", - "./backend/vectordbs/utils/__init__.py", - "./backend/vectordbs/utils/watsonx.py", - "./backend/vectordbs/utils/watsonx_refactored.py", - "./backend/vectordbs/vector_store.py", - "./backend/vectordbs/weaviate_store.py", - "./scripts/add_test_markers.py", - "./scripts/analyze_fixtures.py", - "./scripts/analyze_test_coverage.py", - "./scripts/analyze_test_markers.py", - "./scripts/check_test_isolation.py", - "./scripts/check_test_isolation_simple.py", - "./scripts/consolidate_fixtures.py", - "./scripts/consolidate_integration_tests.py", - "./scripts/consolidate_service_tests.py", - "./scripts/create_simple_tests.py", - "./scripts/filter_tests_by_complexity.py", - "./scripts/fix_test_imports.py", - "./scripts/fix_test_quality.py", - "./scripts/reclassify_tests.py", - "./scripts/refactor_large_e2e_tests.py", - "./scripts/setup_env.py", - "./scripts/validate_ci_fixes.py", - "./scripts/validate_env.py" - ] -} diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index a2a13619..b7ee821a 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -40,6 +40,7 @@ repos: '--exclude=backend/dev_tests/experiments/', '--exclude=backend/debug_milvus.py', '--exclude=backend/debug_retrieval.py', + '--exclude=backend/venv/', 'backend/' ] additional_dependencies: diff --git a/DEFENSIVE_PROGRAMMING_AUDIT.md b/DEFENSIVE_PROGRAMMING_AUDIT.md new file mode 100644 index 00000000..19785a19 --- /dev/null +++ b/DEFENSIVE_PROGRAMMING_AUDIT.md @@ -0,0 +1,449 @@ +# Defensive Programming Audit Report + +## Executive Summary + +This audit identifies **defensive programming patterns** and **poor implementation practices** across the RAG Modulo codebase, specifically in service and repository layers. These patterns represent a lack of trust in the codebase's own abstractions and create unnecessary complexity. + +## Core Issues Identified + +### 1. **Inconsistent Return Type Contracts** ⚠️ + +**Problem**: Repository methods always return lists (via `.all()`), but service methods defensively check for `None` or empty results as if the contract is unclear. + +--- + +## Detailed Findings + +### Issue #1: Prompt Template Service - Unnecessary None Check + +**Location**: `backend/rag_solution/services/prompt_template_service.py:43-65` + +**Service Method**: +```python +def get_by_type(self, user_id: UUID4, template_type: PromptTemplateType) -> PromptTemplateOutput | None: + try: + templates = self.repository.get_by_user_id_and_type(user_id, template_type) + if not templates: # ❌ DEFENSIVE: Repository always returns a list + return None + # ... +``` + +**Repository Method**: +```python +def get_by_user_id_and_type(self, user_id: UUID4, template_type: PromptTemplateType) -> list[PromptTemplate]: + return self.db.query(PromptTemplate).filter_by(user_id=user_id, template_type=template_type).all() + # ✅ ALWAYS returns list (empty or populated) +``` + +**Issue**: +- Repository **guarantees** a `list[PromptTemplate]` return type via `.all()` +- Service unnecessarily checks `if not templates` as if it could be `None` +- This defensive check suggests unclear contracts between layers + +**Fix**: Trust the repository contract and handle empty lists explicitly: +```python +def get_by_type(self, user_id: UUID4, template_type: PromptTemplateType) -> PromptTemplateOutput | None: + templates = self.repository.get_by_user_id_and_type(user_id, template_type) + if len(templates) == 0: # ✅ EXPLICIT: Empty list check + return None + # ... rest of logic +``` + +--- + +### Issue #2: File Management Service - Throwing NotFoundError for Empty Lists + +**Location**: `backend/rag_solution/services/file_management_service.py:103-130` + +**Service Method**: +```python +def get_files(self, collection_id: UUID4) -> list[str]: + try: + files = self.get_files_by_collection(collection_id) + if not files: # ❌ TREATING EMPTY LIST AS ERROR + raise NotFoundError( + resource_type="File", + resource_id=str(collection_id), + ) + return [file.filename for file in files if file.filename is not None] +``` + +**Repository Method**: +```python +def get_files(self, collection_id: UUID4) -> list[FileOutput]: + try: + files = self.db.query(File).filter(File.collection_id == collection_id).all() + return [self._file_to_output(file) for file in files] # ✅ ALWAYS returns list +``` + +**Issues**: +1. **Business Logic Error**: An empty collection (no files) is **not an error condition** - it's a valid state +2. **Defensive Programming**: Service treats empty list as if it's an exceptional case +3. **Poor API Design**: Clients can't distinguish between "collection doesn't exist" vs "collection has no files" + +**Fix**: Return empty lists for valid empty collections, only raise errors for missing collections: +```python +def get_files(self, collection_id: UUID4) -> list[str]: + # Verify collection exists first (separate concern) + collection = self.collection_repository.get(collection_id) # Raises NotFoundError if missing + + # Get files (empty list is valid) + files = self.file_repository.get_files(collection_id) + return [file.filename for file in files if file.filename is not None] +``` + +--- + +### Issue #3: Prompt Template Service - Redundant None Check After Repository Call + +**Location**: `backend/rag_solution/services/prompt_template_service.py:166-168` + +**Service Method**: +```python +def set_default_template(self, template_id: UUID4) -> PromptTemplateOutput: + try: + template = self.repository.get_by_id(template_id) + if not template: # ❌ DEFENSIVE: Repository raises NotFoundError, never returns None + raise NotFoundError(resource_type="PromptTemplate", resource_id=str(template_id)) +``` + +**Repository Method**: +```python +def get_by_id(self, id: UUID4) -> PromptTemplate: + try: + template = self.db.query(PromptTemplate).filter_by(id=id).first() + if not template: + raise NotFoundError(resource_type="PromptTemplate", resource_id=str(id)) # ✅ Already raises + return template +``` + +**Issue**: +- Repository **already raises `NotFoundError`** if template not found +- Service defensively checks for `None` and raises the same exception +- This is redundant defensive code that will never execute + +**Fix**: Trust the repository to handle NotFoundError: +```python +def set_default_template(self, template_id: UUID4) -> PromptTemplateOutput: + template = self.repository.get_by_id(template_id) # ✅ Will raise NotFoundError if missing + # ... rest of logic without redundant check +``` + +--- + +### Issue #4: File Management Service - Unnecessary Try-Except Wrapping + +**Location**: `backend/rag_solution/services/file_management_service.py:81-91` + +**Service Method**: +```python +def delete_files(self, collection_id: UUID4, filenames: list[str]) -> bool: + try: + logger.info(f"Deleting files {filenames} from collection {collection_id}") + for filename in filenames: + file = self.file_repository.get_file_by_name(collection_id, filename) + if file: # ❌ DEFENSIVE: Repository raises NotFoundError, never returns None + self.delete_file(file.id) + return True + except Exception as e: + logger.error(f"Unexpected error deleting files: {e!s}") + raise # ❌ ANTI-PATTERN: Catch and re-raise without adding value +``` + +**Repository Method**: +```python +def get_file_by_name(self, collection_id: UUID4, filename: str) -> FileOutput: + try: + file = self.db.query(File).filter(...).first() + if not file: + raise NotFoundError(...) # ✅ Always raises or returns FileOutput + return self._file_to_output(file) +``` + +**Issues**: +1. **Defensive None Check**: Repository never returns `None`, always raises `NotFoundError` +2. **Useless Try-Except**: Catches all exceptions just to log and re-raise (no value added) +3. **Poor Error Handling**: Doesn't distinguish between "file not found" (possibly expected) vs other errors + +**Fix**: Remove defensive checks and let exceptions propagate: +```python +def delete_files(self, collection_id: UUID4, filenames: list[str]) -> bool: + logger.info(f"Deleting files {filenames} from collection {collection_id}") + for filename in filenames: + try: + file = self.file_repository.get_file_by_name(collection_id, filename) + self.delete_file(file.id) + except NotFoundError: + logger.warning(f"File {filename} not found, skipping") + # Decision: skip missing files or fail? Should be explicit + return True +``` + +--- + +### Issue #5: Search Service - Unnecessary Pipeline Validation + +**Location**: `backend/rag_solution/services/search_service.py:531-539` + +**Service Method**: +```python +def _validate_pipeline(self, pipeline_id: UUID4) -> None: + """Validate pipeline configuration.""" + pipeline_config = self.pipeline_service.get_pipeline_config(pipeline_id) + if not pipeline_config: # ❌ DEFENSIVE: Method should raise if not found + raise NotFoundError( + resource_type="Pipeline", + resource_id=str(pipeline_id), + message=f"Pipeline configuration not found for ID {pipeline_id}", + ) +``` + +**Issue**: +- Service calls another service to get config, then defensively checks for `None` +- Better design: `get_pipeline_config` should raise `NotFoundError` directly +- Current pattern forces every caller to do defensive validation + +**Fix**: Make repository/service methods raise exceptions for missing resources: +```python +# In PipelineService +def get_pipeline_config(self, pipeline_id: UUID4) -> PipelineConfig: + """Get pipeline config by ID. Raises NotFoundError if not found.""" + config = self.repository.get_by_id(pipeline_id) + if not config: + raise NotFoundError(resource_type="Pipeline", resource_id=str(pipeline_id)) + return config + +# In SearchService - simplified +def _validate_pipeline(self, pipeline_id: UUID4) -> None: + self.pipeline_service.get_pipeline_config(pipeline_id) # ✅ Raises if not found +``` + +--- + +### Issue #6: LLM Provider Service - Inconsistent Return Types + +**Location**: `backend/rag_solution/services/llm_provider_service.py:56-70` + +**Service Methods**: +```python +def get_provider_by_id(self, provider_id: UUID4) -> LLMProviderOutput | None: + """Get provider by ID.""" + provider = self.repository.get_provider_by_id(provider_id) + return LLMProviderOutput.model_validate(provider) if provider else None # ❌ INCONSISTENT + +def update_provider(self, provider_id: UUID4, updates: dict[str, Any]) -> LLMProviderOutput | None: + """Update provider details.""" + try: + provider = self.repository.update_provider(provider_id, updates) + return LLMProviderOutput.model_validate(provider) if provider else None # ❌ INCONSISTENT +``` + +**Repository Method**: +```python +def get_provider_by_id(self, provider_id: UUID4) -> LLMProvider: + """Fetches a provider by ID. Raises: NotFoundError if provider not found.""" + try: + provider = self.session.query(LLMProvider).filter_by(id=provider_id).first() + if not provider: + raise NotFoundError(resource_type="LLMProvider", resource_id=str(provider_id)) + return provider # ✅ NEVER returns None, always raises +``` + +**Issue**: +- **Repository Contract**: Never returns `None`, always raises `NotFoundError` +- **Service Contract**: Returns `Optional[LLMProviderOutput]`, suggesting `None` is possible +- **Reality**: Service will never return `None` due to repository raising exception +- **Result**: Misleading type signatures and forcing callers to handle `None` unnecessarily + +**Fix**: Align service return types with repository behavior: +```python +def get_provider_by_id(self, provider_id: UUID4) -> LLMProviderOutput: + """Get provider by ID. Raises NotFoundError if not found.""" + provider = self.repository.get_provider_by_id(provider_id) # Raises if not found + return LLMProviderOutput.model_validate(provider) + +def update_provider(self, provider_id: UUID4, updates: dict[str, Any]) -> LLMProviderOutput: + """Update provider details. Raises NotFoundError if not found.""" + provider = self.repository.update_provider(provider_id, updates) # Raises if not found + return LLMProviderOutput.model_validate(provider) +``` + +--- + +### Issue #7: Prompt Template Service - Another Redundant Check + +**Location**: `backend/rag_solution/services/prompt_template_service.py:196-199` + +**Service Method**: +```python +def format_prompt_by_id(self, template_id: UUID4, variables: dict[str, Any]) -> str: + try: + template = self.repository.get_by_id(template_id) + if not template: # ❌ DEFENSIVE: Repository already raises NotFoundError + raise PromptTemplateNotFoundError(template_id=str(template_id)) + return self._format_prompt_with_template(template, variables) +``` + +**Fix**: +```python +def format_prompt_by_id(self, template_id: UUID4, variables: dict[str, Any]) -> str: + try: + template = self.repository.get_by_id(template_id) # ✅ Raises NotFoundError + return self._format_prompt_with_template(template, variables) + except NotFoundError as e: + raise PromptTemplateNotFoundError(template_id=str(template_id)) from e +``` + +--- + +### Issue #8: Prompt Template Service - Apply Context Strategy Redundant Check + +**Location**: `backend/rag_solution/services/prompt_template_service.py:246-250` + +**Service Method**: +```python +def apply_context_strategy(self, template_id: UUID4, contexts: list[str]) -> str: + """Apply context strategy to format contexts based on template settings.""" + template = self.repository.get_by_id(template_id) + if not template: # ❌ DEFENSIVE: Repository already raises NotFoundError + raise NotFoundError(resource_type="PromptTemplate", resource_id=str(template_id)) +``` + +**Fix**: Remove the redundant check: +```python +def apply_context_strategy(self, template_id: UUID4, contexts: list[str]) -> str: + """Apply context strategy to format contexts based on template settings.""" + template = self.repository.get_by_id(template_id) # ✅ Raises NotFoundError if missing + # ... rest of logic +``` + +--- + +## Pattern Analysis + +### Root Causes + +1. **Unclear Contracts**: Repository return types don't make it obvious whether they return `None` or raise exceptions +2. **Type Signature Lies**: Services declare `Optional[T]` returns when exceptions prevent `None` from ever happening +3. **Cargo Cult Programming**: Defensive checks copied without understanding underlying behavior +4. **Over-Engineering**: Try-except blocks that catch and re-raise without adding value +5. **Business Logic Confusion**: Treating valid empty states (empty collections) as errors + +### Impact + +1. **False Security**: Defensive checks that never execute give false sense of robustness +2. **Misleading APIs**: Optional return types force callers to handle `None` cases that never occur +3. **Code Bloat**: Unnecessary conditionals and exception handling add complexity +4. **Maintenance Burden**: Inconsistent patterns make it harder to understand actual behavior +5. **Performance**: Extra checks and exception wrapping (minimal but unnecessary) + +--- + +## Recommendations + +### Short-Term Fixes + +1. **Remove Redundant None Checks**: Where repositories raise `NotFoundError`, remove service-level `if not result` checks +2. **Fix Return Type Signatures**: Change `Optional[T]` to `T` where exceptions prevent `None` returns +3. **Distinguish Business Logic**: Empty collections are not errors - only missing resources are +4. **Document Contracts**: Add clear docstrings stating "Raises NotFoundError if not found" + +### Long-Term Improvements + +1. **Establish Repository Patterns**: + ```python + # For single items: Always raise NotFoundError if not found + def get_by_id(self, id: UUID4) -> Entity: + """Get entity by ID. Raises NotFoundError if not found.""" + + # For lists: Always return list (empty or populated) + def get_all(self) -> list[Entity]: + """Get all entities. Returns empty list if none found.""" + ``` + +2. **Service Layer Contract**: + ```python + # Don't defensively re-check repository guarantees + def get_something(self, id: UUID4) -> OutputSchema: + entity = self.repository.get_by_id(id) # Trust the contract + return OutputSchema.model_validate(entity) + ``` + +3. **Type Safety**: + - Use `list[T]` not `list[T] | None` for list-returning methods + - Use `T` not `T | None` for methods that raise exceptions + - Only use `T | None` when `None` is a **valid business outcome** + +4. **Exception Handling**: + ```python + # ❌ DON'T: Catch and re-raise without adding value + try: + result = do_something() + return result + except Exception as e: + logger.error(f"Error: {e}") + raise + + # ✅ DO: Only catch if you add value (context, conversion, recovery) + try: + result = do_something() + return result + except SpecificError as e: + # Add context or convert exception type + raise DomainSpecificError(f"Failed to do X: {e}") from e + ``` + +--- + +## Affected Files Summary + +### Services (8 issues found) +- `backend/rag_solution/services/prompt_template_service.py` (4 issues) +- `backend/rag_solution/services/file_management_service.py` (2 issues) +- `backend/rag_solution/services/search_service.py` (1 issue) +- `backend/rag_solution/services/llm_provider_service.py` (1 issue) + +### Repository Patterns (consistent, good) +- All repository methods using `.all()` correctly return `list[T]` +- All repository methods using `.first()` correctly check and raise `NotFoundError` +- Issue is in service layer not trusting repository contracts + +--- + +## Priority + +**HIGH PRIORITY** - These issues create: +- Technical debt through unnecessary complexity +- Misleading APIs that confuse developers +- False assumptions about error handling +- Inconsistent patterns across the codebase + +--- + +## Action Items + +1. ✅ **Document this audit** (current file) +2. 🔲 **Create refactoring tickets** for each affected service +3. 🔲 **Establish coding standards** for repository/service contracts +4. 🔲 **Add linting rules** to catch `Optional` returns with exception-raising implementations +5. 🔲 **Update development documentation** with examples of correct patterns +6. 🔲 **Review PRs** to prevent new instances of these patterns + +--- + +## Conclusion + +The codebase exhibits **systematic defensive programming** where services don't trust their own repository layer contracts. This manifests as: +- Redundant `None` checks after repository calls that never return `None` +- Treating empty collections as error conditions +- Misleading `Optional` return types that never actually return `None` +- Try-except blocks that add no value + +**Root cause**: Unclear contracts between layers and inconsistent exception handling patterns. + +**Solution**: Establish clear patterns, document contracts, and remove defensive programming that adds no value. + +--- + +*Generated: October 2, 2025* +*Scope: Service and Repository layers in `backend/rag_solution/`* diff --git a/Makefile b/Makefile index 353dcbd3..3ff8d736 100644 --- a/Makefile +++ b/Makefile @@ -373,7 +373,7 @@ venv: $(VENVS_DIR)/bin/activate $(VENVS_DIR)/bin/activate: @echo "Setting up Python virtual environment..." @cd backend && $(POETRY) config virtualenvs.in-project true - @cd backend && $(POETRY) install --with dev + @cd backend && $(POETRY) install --with dev,test @echo "Virtual environment ready." clean-venv: diff --git a/PODCAST.md b/PODCAST.md new file mode 100644 index 00000000..04de7c0c --- /dev/null +++ b/PODCAST.md @@ -0,0 +1,461 @@ +# 🎙️ Issue #240: Podcast Generation and AI Evaluation Feature - Implementation Plan + +## 📋 Overview +This document outlines the comprehensive implementation plan for adding podcast generation capabilities with real-time interactive Q&A and AI-powered evaluation features to the RAG Modulo platform. + +--- + +## 🏗️ Architecture Overview + +### Core Innovation: Real-Time Interactive Podcasts +- **During podcast playback**, users can ask questions at any moment +- **Immediate RAG search** using existing SearchService and ChainOfThoughtService +- **Dynamic audio insertion** with seamless transitions +- **Version control** for evolving podcast content +- **WebSocket-based** real-time updates + +--- + +## 🔄 Integration with Existing Services + +### 1. **Document Processing Pipeline Integration** +The podcast generation will leverage the existing document processing infrastructure: + +```python +class PodcastGenerationService: + def __init__(self, db: Session, settings: Settings): + self.db = db + self.settings = settings + # Leverage existing services + self.search_service = SearchService(db, settings) + self.chain_of_thought_service = ChainOfThoughtService(db, settings) + self.conversation_service = ConversationService(db, settings) + self.file_service = FileManagementService(settings) + + async def generate_podcast_content(self, podcast_input: PodcastCreationInput): + """Generate podcast content from selected documents""" + + # 1. Use existing document retrieval from collection + documents = await self.file_service.get_collection_documents( + podcast_input.collection_id, + podcast_input.selected_document_ids + ) + + # 2. Process documents through existing pipeline + processed_content = [] + for doc in documents: + # Use existing document processing pipeline + doc_content = await self.file_service.extract_document_content(doc.id) + processed_content.append(doc_content) + + # 3. Generate podcast script using Chain of Thought + podcast_script = await self._generate_script_with_cot( + processed_content, + podcast_input.duration_minutes + ) + + return podcast_script + + async def _generate_script_with_cot(self, content: List[str], duration_minutes: int): + """Use Chain of Thought to create coherent podcast narrative""" + + # Leverage existing CoT for content organization + cot_request = { + "question": f"Create a {duration_minutes}-minute podcast script from these documents", + "context": content, + "config_metadata": { + "cot_enabled": True, + "output_format": "podcast_script", + "target_duration": duration_minutes + } + } + + # Use existing CoT service for intelligent content structuring + script = await self.chain_of_thought_service.process_with_reasoning(cot_request) + + return script +``` + +### 2. **SearchService Integration for Real-Time Q&A** +```python +class InteractivePodcastService: + async def process_real_time_question( + self, + playback_session_id: UUID, + question: str, + current_timestamp: float + ): + """Process user question using existing RAG infrastructure""" + + session = await self.get_playback_session(playback_session_id) + podcast = session.podcast + + # Use existing SearchService with automatic pipeline resolution + search_input = SearchInput( + question=question, + collection_id=podcast.collection_id, + user_id=session.user_id, + config_metadata={ + "context_type": "podcast_interaction", + "timestamp": current_timestamp, + "cot_enabled": True, # Enable CoT for complex questions + "show_cot_steps": False # Don't show steps in audio + } + ) + + # Leverage existing search with CoT enhancement + search_result = await self.search_service.search(search_input) + + # Format for audio response + audio_response = await self._format_for_audio(search_result) + + return audio_response +``` + +### 3. **Chain of Thought Service for Content Quality** +```python +async def enhance_podcast_with_cot(self, podcast_content: str, interactions: List[Interaction]): + """Use CoT to ensure coherent narrative with Q&A insertions""" + + # Analyze narrative flow + flow_analysis = await self.chain_of_thought_service.analyze_content_flow( + main_content=podcast_content, + insertions=interactions, + objective="maintain_narrative_coherence" + ) + + # Generate transition segments + transitions = await self.chain_of_thought_service.generate_transitions( + flow_analysis, + voice_style="conversational" + ) + + return transitions +``` + +--- + +## 🎯 Multi-Modal Model for Audio Generation + +### Exclusive Multi-Modal Approach + +We will use **only multi-modal models** for all audio generation, leveraging the advanced capabilities of modern LLMs: + +### 1. **Unified Architecture** +```python +class MultiModalAudioService: + def __init__(self, settings: Settings): + self.settings = settings + # Use existing LLM provider infrastructure + self.llm_service = LLMProviderService(settings) + + async def generate_audio_from_text( + self, + text: str, + voice_parameters: dict = None + ) -> bytes: + """Generate audio using multi-modal models""" + + provider = self.llm_service.get_user_provider() + + if provider.supports_audio_generation(): + # Use native multi-modal capabilities + audio_response = await provider.generate_audio( + text=text, + voice_settings=voice_parameters, + output_format="mp3" + ) + else: + # Require multi-modal support for audio generation + raise ValueError(f"Provider {provider} does not support audio generation. Please use a provider with multi-modal capabilities.") + + return audio_response +``` + +### 2. **Provider-Specific Multi-Modal Implementation** + +#### **OpenAI Integration** +```python +class OpenAIMultiModalProvider(LLMProvider): + async def generate_audio(self, text: str, voice_settings: dict): + """Use OpenAI's multi-modal capabilities""" + # OpenAI's new models support audio generation + response = await self.client.audio.speech.create( + model="tts-1-hd", + voice=voice_settings.get("voice", "alloy"), + input=text, + response_format="mp3" + ) + return response.content +``` + +#### **Anthropic Integration** +```python +class AnthropicMultiModalProvider(LLMProvider): + async def generate_audio(self, text: str, voice_settings: dict): + """Use Anthropic's multi-modal capabilities when available""" + # Anthropic's Claude can process audio (future capability) + # For now, use their text generation with audio markup + pass +``` + +#### **WatsonX Integration** +```python +class WatsonXMultiModalProvider(LLMProvider): + async def generate_audio(self, text: str, voice_settings: dict): + """Use IBM WatsonX multi-modal capabilities""" + # WatsonX multi-modal audio generation + audio_response = await self.client.generate_multi_modal( + text=text, + mode="audio", + voice=voice_settings.get("voice", "professional"), + format="mp3" + ) + + return audio_response.content +``` + +### 3. **Advantages of Multi-Modal Approach** + +- **Context Awareness**: Multi-modal models understand document context for appropriate emphasis and pacing +- **Emotion & Tone**: Automatic tone adjustment based on content type and narrative flow +- **Question Handling**: Native understanding of Q&A interactions for seamless integration +- **Cost Efficiency**: Single API call for both text and audio generation +- **Consistency**: Unified voice and style across all podcast content +- **Future-Proof**: Evolving capabilities as multi-modal models advance + +### 4. **Enhanced Implementation with Multi-Modal** +```python +class EnhancedPodcastGenerationService: + async def generate_interactive_podcast( + self, + collection_id: UUID, + user_id: UUID, + duration_minutes: int + ): + """Generate podcast using multi-modal capabilities""" + + # 1. Generate content using existing RAG pipeline + content = await self.search_service.get_collection_summary(collection_id) + + # 2. Use multi-modal model for script AND audio generation + provider = self.llm_service.get_user_provider(user_id) + + if provider.supports_multi_modal(): + # Single call for script + audio + podcast_response = await provider.generate_multi_modal( + prompt=f"Create a {duration_minutes}-minute podcast about: {content}", + output_formats=["text", "audio"], + audio_settings={ + "voice": "professional", + "pace": "moderate", + "style": "educational" + } + ) + + return { + "script": podcast_response.text, + "audio": podcast_response.audio, + "metadata": podcast_response.metadata + } + else: + # Multi-modal support required + raise ValueError(f"Provider must support multi-modal generation for podcast creation") +``` + +--- + +## 📊 Database Schema + +### 1. **Podcast Model** (`rag_solution/models/podcast.py`) +```python +class Podcast(Base): + __tablename__ = "podcasts" + + id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4) + user_id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), ForeignKey("users.id"), nullable=False) + collection_id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), ForeignKey("collections.id"), nullable=False) + title: Mapped[str] = mapped_column(String(255), nullable=False) + description: Mapped[str] = mapped_column(Text, nullable=True) + + # Generation Configuration + duration_minutes: Mapped[int] = mapped_column(Integer, nullable=False) + voice_settings: Mapped[dict] = mapped_column(JSON, default=dict) + selected_document_ids: Mapped[list] = mapped_column(JSON, default=list) + generation_model: Mapped[str] = mapped_column(String(100), nullable=True) # Which multi-modal model used + + # Processing Status + status: Mapped[str] = mapped_column(String(50), default="pending") + generation_progress: Mapped[int] = mapped_column(Integer, default=0) + + # Audio File Information + audio_file_path: Mapped[str] = mapped_column(String, nullable=True) + audio_format: Mapped[str] = mapped_column(String(10), default="mp3") + file_size_bytes: Mapped[int] = mapped_column(BigInteger, nullable=True) + duration_seconds: Mapped[float] = mapped_column(Float, nullable=True) + + # Script and Metadata + podcast_script: Mapped[str] = mapped_column(Text, nullable=True) # Generated script + generation_metadata: Mapped[dict] = mapped_column(JSON, default=dict) + + # Timestamps + created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow) + updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow) + completed_at: Mapped[datetime] = mapped_column(DateTime, nullable=True) + + # Relationships + user = relationship("User", back_populates="podcasts") + collection = relationship("Collection", back_populates="podcasts") + playback_sessions = relationship("PodcastPlaybackSession", back_populates="podcast", cascade="all, delete-orphan") + interactions = relationship("PodcastInteraction", back_populates="podcast", cascade="all, delete-orphan") + versions = relationship("PodcastVersion", back_populates="podcast", cascade="all, delete-orphan") +``` + +### 2. **PodcastInteraction Model** (`rag_solution/models/podcast_interaction.py`) +```python +class PodcastInteraction(Base): + __tablename__ = "podcast_interactions" + + id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4) + podcast_id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), ForeignKey("podcasts.id"), nullable=False) + playback_session_id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), ForeignKey("podcast_playback_sessions.id"), nullable=False) + user_id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), ForeignKey("users.id"), nullable=False) + + # Interaction Details + timestamp_seconds: Mapped[float] = mapped_column(Float, nullable=False) + question: Mapped[str] = mapped_column(Text, nullable=False) + answer: Mapped[str] = mapped_column(Text, nullable=True) + + # RAG Integration + search_results: Mapped[dict] = mapped_column(JSON, default=dict) # SearchService results + cot_reasoning: Mapped[dict] = mapped_column(JSON, default=dict) # ChainOfThought reasoning steps + source_documents: Mapped[list] = mapped_column(JSON, default=list) # Document references + + # Audio Generation + audio_response_path: Mapped[str] = mapped_column(String, nullable=True) + audio_duration_seconds: Mapped[float] = mapped_column(Float, nullable=True) + generation_model: Mapped[str] = mapped_column(String(100), nullable=True) # Multi-modal model used + + # Processing Status + processing_status: Mapped[str] = mapped_column(String(50), default="pending") + + created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow) + + # Relationships + podcast = relationship("Podcast", back_populates="interactions") +``` + +### 3. **MediaUpload Model** (`rag_solution/models/media_upload.py`) +```python +class MediaUpload(Base): + __tablename__ = "media_uploads" + + id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4) + user_id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), ForeignKey("users.id"), nullable=False) + + # File Information + filename: Mapped[str] = mapped_column(String(255), nullable=False) + file_path: Mapped[str] = mapped_column(String, nullable=False) + file_type: Mapped[str] = mapped_column(String(50), nullable=False) + mime_type: Mapped[str] = mapped_column(String(100), nullable=False) + + # Multi-Modal Evaluation + evaluation_model: Mapped[str] = mapped_column(String(100), nullable=True) + evaluation_results: Mapped[dict] = mapped_column(JSON, default=dict) + evaluation_score: Mapped[float] = mapped_column(Float, nullable=True) + + created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow) + + # Relationships + user = relationship("User", back_populates="media_uploads") +``` + +--- + +## 🌐 API Endpoints + +### Podcast Generation & Management +```python +# POST /api/podcasts - Create new podcast +# GET /api/podcasts/{id} - Get podcast details +# PUT /api/podcasts/{id} - Update podcast +# DELETE /api/podcasts/{id} - Delete podcast +# GET /api/podcasts - List user podcasts + +# POST /api/podcasts/{id}/generate - Start generation +# GET /api/podcasts/{id}/status - Get generation status +# GET /api/podcasts/{id}/stream - Stream audio + +# Real-time Q&A +# POST /api/podcasts/{id}/interactions - Ask question during playback +# GET /api/podcasts/interactions/{id}/audio - Get Q&A audio +# WebSocket /api/podcasts/{id}/live-interactions - Real-time updates +``` + +--- + +## ⚛️ Frontend Components + +``` +frontend/src/components/podcast/ +├── PodcastGenerationModal.tsx # Creation interface +├── InteractivePodcastPlayer.tsx # Player with Q&A capability +├── QuestionModal.tsx # Real-time question interface +├── InteractionSidebar.tsx # Q&A responses display +└── PodcastLibrary.tsx # User's podcast collection + +frontend/src/components/evaluation/ +├── MediaUploadModal.tsx # Upload interface +├── EvaluationResults.tsx # AI feedback display +└── EvaluationReport.tsx # Detailed analysis +``` + +--- + +## 📊 Implementation Phases + +| **Phase** | **Duration** | **Key Features** | **Services Used** | +|-----------|-------------|------------------|-------------------| +| **Phase 1** | 4 weeks | Core podcast generation | SearchService, CoT, Multi-modal | +| **Phase 2** | 3 weeks | Real-time Q&A system | SearchService, WebSocket | +| **Phase 3** | 4 weeks | AI pitch evaluation | Multi-modal evaluation | +| **Phase 4** | 2 weeks | Polish & optimization | All services | + +--- + +## 🚀 Key Benefits of This Approach + +1. **Leverages Existing Infrastructure** + - Uses existing SearchService with automatic pipeline resolution + - Integrates ChainOfThoughtService for content quality + - Reuses document processing pipeline + - Extends ConversationService patterns + +2. **Multi-Modal Model Excellence** + - Single API for text + audio generation + - Context-aware voice synthesis with document understanding + - Consistent quality and voice across all content + - Future-proof as multi-modal capabilities advance + +3. **Real-Time Interactivity** + - WebSocket infrastructure already in place + - RAG search provides accurate answers + - CoT ensures coherent responses + - Dynamic content updates + +4. **Cost Optimization** + - Unified billing through existing LLM providers + - Single API call for both text and audio + - Efficient resource utilization + +--- + +## 🎯 Next Steps + +1. **Prototype multi-modal audio generation** with existing providers +2. **Extend SearchService** for podcast-specific queries +3. **Implement WebSocket handlers** for real-time Q&A +4. **Create database migrations** for new models +5. **Build frontend components** incrementally + +This implementation fully leverages the existing RAG infrastructure while adding revolutionary interactive podcast capabilities powered exclusively by multi-modal models. diff --git a/PODCAST_FRONTEND_IMPLEMENTATION.md b/PODCAST_FRONTEND_IMPLEMENTATION.md new file mode 100644 index 00000000..75d2c00d --- /dev/null +++ b/PODCAST_FRONTEND_IMPLEMENTATION.md @@ -0,0 +1,358 @@ +# Podcast Generation Frontend Implementation + +## Overview + +Complete frontend implementation for the podcast generation feature, including Phase 1, Phase 2, and selected Phase 3 features as requested. + +## Implementation Summary + +### Phase 1: MVP Components ✅ + +1. **API Client Extensions** (`frontend/src/services/apiClient.ts`) + - Added podcast TypeScript interfaces: + - `VoiceSettings`, `PodcastGenerationInput`, `Podcast`, `PodcastListResponse`, `PodcastQuestionInjection` + - Implemented podcast API methods: + - `generatePodcast()`: Start podcast generation + - `getPodcast()`: Get podcast status and details + - `listPodcasts()`: List user's podcasts with pagination + - `deletePodcast()`: Delete podcast + - `injectQuestion()`: Inject question into podcast for dynamic regeneration + +2. **PodcastGenerationModal** (`frontend/src/components/podcasts/PodcastGenerationModal.tsx`) + - Duration selection (5, 15, 30, 60 minutes) with cost estimates + - Title and description inputs (optional) + - Voice selection for HOST and EXPERT (6 OpenAI voices: Alloy, Echo, Fable, Onyx, Nova, Shimmer) + - Advanced options (collapsible): + - Audio format selection (MP3, WAV, OGG, FLAC) + - Include intro/outro toggles + - Background music (disabled, coming soon) + - Real-time cost estimation display + - Submit triggers background generation + +3. **PodcastProgressCard** (`frontend/src/components/podcasts/PodcastProgressCard.tsx`) + - Real-time progress bar (0-100%) + - Status badges: Queued, Generating, Completed, Failed, Cancelled + - Current step display: "Retrieving content", "Generating script", "Parsing turns", "Generating audio", "Storing audio" + - Detailed audio generation progress (Turn X of Y) + - Estimated time remaining + - Cancel button for active generations + - Error message display for failed podcasts + +4. **LightweightPodcasts** (`frontend/src/components/podcasts/LightweightPodcasts.tsx`) + - Grid/list view of podcasts + - Filter by status (All, Completed, Generating, Queued, Failed) + - Sort by date or duration + - Auto-refresh every 5 seconds for active podcasts + - Action buttons: Play, Download, Delete + - Progress tracking for generating podcasts + - Empty state with "Go to Collections" CTA + +5. **Collection Detail Integration** + - Added "Generate Podcast" button to `LightweightCollectionDetail` + - Purple-themed button with microphone icon + - Disabled for non-ready collections + - Opens PodcastGenerationModal + - Redirects to podcast detail page after generation starts + +### Phase 2: Full Features ✅ + +6. **LightweightPodcastDetail** (`frontend/src/components/podcasts/LightweightPodcastDetail.tsx`) + - Main podcast detail page with full audio player + - Status-aware UI (shows progress for generating, player for completed) + - Action buttons: Download, Share, Delete, Toggle Transcript + - Metadata display (creation date, completion date, collection ID, podcast ID, file size) + - Auto-refresh for generating podcasts (5-second polling) + - Failed podcast error display + +7. **PodcastAudioPlayer** (`frontend/src/components/podcasts/PodcastAudioPlayer.tsx`) + - Full HTML5 audio player with custom controls + - Play/Pause toggle + - Seek bar with visual progress indicator + - Skip forward/backward 15 seconds + - Volume control with mute toggle + - Playback speed selector (0.5x to 2x) + - Current time and duration display + - "Add Question Here" button at current timestamp + - Keyboard shortcuts info (Space = Play/Pause, Arrow keys = Seek) + +8. **PodcastTranscriptViewer** (`frontend/src/components/podcasts/PodcastTranscriptViewer.tsx`) + - Searchable transcript with highlight + - Parsed dialogue turns (HOST/EXPERT) + - Color-coded speaker badges (blue for HOST, purple for EXPERT) + - Result count for searches + - Stats footer (total turns, word count) + - Max height with scroll + +### Phase 3: Selected Advanced Features ✅ + +9. **PodcastQuestionInjectionModal** (`frontend/src/components/podcasts/PodcastQuestionInjectionModal.tsx`) + - Modal to add questions at specific timestamps + - Timestamp display (e.g., "3:15") + - Question textarea input + - How it works explanation: + - Question inserted at specified timestamp + - HOST asks the question + - EXPERT provides RAG-powered answer + - Audio regenerated from that point onwards + - Takes 30-60 seconds + - Submit button triggers dynamic podcast regeneration + - Success notification with regeneration status + +10. **App Routing** (`frontend/src/App.tsx`) + - `/podcasts` - Main podcast list page + - `/podcasts/:id` - Podcast detail/player page + +## User Flows + +### Flow 1: Generate Podcast from Collection +1. User navigates to Collection Detail page +2. Clicks "Generate Podcast" button (purple, microphone icon) +3. PodcastGenerationModal opens +4. User configures: + - Duration: 15 minutes + - Voices: Alloy (HOST), Onyx (EXPERT) + - Title: "My Podcast Episode" + - Format: MP3 + - Include intro: Yes +5. Sees cost estimate: $0.20 +6. Clicks "Generate Podcast" +7. Modal closes, redirects to `/podcasts/:id` +8. Podcast Detail page shows PodcastProgressCard with: + - Status: QUEUED → GENERATING + - Progress bar: 0% → 100% + - Steps: "Retrieving content" → "Generating script" → "Generating audio (Turn 5/12)" → "Storing audio" +9. Auto-refreshes every 5 seconds +10. When completed: + - Status badge: COMPLETED (green) + - Audio player appears + - Download/Share/Transcript buttons enabled + +### Flow 2: Play Podcast and Add Question +1. User navigates to `/podcasts` +2. Sees grid of podcasts, filters by "Completed" +3. Clicks podcast card → redirects to `/podcasts/:id` +4. Podcast Detail page loads: + - Audio player at top + - Transcript below (searchable) +5. User clicks Play button +6. Audio plays, current time updates (e.g., 3:15) +7. User clicks "Add Question Here" button on player +8. PodcastQuestionInjectionModal opens: + - Shows timestamp: 3:15 + - User types: "Can you explain this in more detail?" +9. Clicks "Add Question" +10. Modal closes, notification appears: + - "Your podcast is being regenerated with the new question" +11. Page auto-refreshes, shows GENERATING status +12. Progress tracked until new version complete +13. Audio player reloads with updated podcast containing injected Q&A + +### Flow 3: Browse and Manage Podcasts +1. User navigates to `/podcasts` +2. Sees podcast grid with status badges +3. Uses filters: + - "All (12)" → "Completed (8)" → "Generating (2)" +4. Sorts by "Duration" (longest first) +5. For completed podcast: + - Clicks "Play" → navigates to detail page + - Clicks "Download" → MP3 file downloads + - Clicks "Delete" → confirmation → podcast removed +6. For generating podcast: + - Sees real-time progress (45% - Generating audio, Turn 6/15) + - Clicks "Cancel" → podcast status changes to CANCELLED + +## Component Architecture + +``` +frontend/src/ +├── components/ +│ ├── podcasts/ +│ │ ├── LightweightPodcasts.tsx # Main listing page +│ │ ├── LightweightPodcastDetail.tsx # Detail/player page +│ │ ├── PodcastGenerationModal.tsx # Generation form modal +│ │ ├── PodcastProgressCard.tsx # Progress tracking card +│ │ ├── PodcastAudioPlayer.tsx # Audio player component +│ │ ├── PodcastTranscriptViewer.tsx # Transcript display +│ │ └── PodcastQuestionInjectionModal.tsx # Question injection modal +│ └── collections/ +│ └── LightweightCollectionDetail.tsx # Updated with podcast button +├── services/ +│ └── apiClient.ts # API client with podcast methods +└── App.tsx # Routes added + +``` + +## API Integration + +### Backend Endpoints Used + +| Endpoint | Method | Purpose | +|----------|--------|---------| +| `/api/podcasts/generate` | POST | Start podcast generation | +| `/api/podcasts/:id` | GET | Get podcast status and details | +| `/api/podcasts/` | GET | List user's podcasts (with pagination) | +| `/api/podcasts/:id` | DELETE | Delete podcast | +| `/api/podcasts/:id/inject-question` | POST | Inject question for dynamic regeneration | + +### Request/Response Examples + +**Generate Podcast:** +```typescript +POST /api/podcasts/generate +{ + user_id: "uuid", + collection_id: "uuid", + duration: 15, + voice_settings: { voice_id: "alloy", speed: 1.0, pitch: 1.0 }, + host_voice: "alloy", + expert_voice: "onyx", + title: "My Podcast", + format: "mp3", + include_intro: true +} +// Response: { podcast_id, status: "queued", progress_percentage: 0, ... } +``` + +**Inject Question:** +```typescript +POST /api/podcasts/:id/inject-question +{ + podcast_id: "uuid", + timestamp_seconds: 195, // 3:15 + question: "Can you explain this in more detail?", + user_id: "uuid" +} +// Response: { podcast_id, status: "generating", progress_percentage: 0, ... } +``` + +## Features Implemented + +### Core Features +- ✅ Podcast generation from collections +- ✅ Multi-voice TTS (HOST + EXPERT) +- ✅ Real-time progress tracking +- ✅ Audio playback with controls +- ✅ Transcript viewing with search +- ✅ Download podcasts +- ✅ Delete podcasts +- ✅ Share podcasts +- ✅ Auto-refresh for active podcasts + +### Advanced Features (Phase 3) +- ✅ **Dynamic Question Injection**: Add questions at any timestamp, podcast regenerates from that point +- ✅ **Voice Preview**: Audio player allows immediate playback once podcast is generated +- ✅ Playback speed control (0.5x - 2x) +- ✅ Skip forward/backward 15 seconds +- ✅ Volume control with mute +- ✅ Searchable transcript with highlighting +- ✅ Real-time progress with detailed step tracking + +### Future Enhancements (Not Implemented) +- ⏳ Background music integration +- ⏳ Waveform visualization +- ⏳ Batch podcast generation +- ⏳ Podcast sharing to external platforms +- ⏳ Podcast playlists +- ⏳ Voice cloning/custom voices + +## Technical Details + +### State Management +- Local component state with React hooks +- Auto-refresh using `setInterval` for generating podcasts +- Notification context for user feedback + +### Styling +- Tailwind CSS utility classes +- Carbon Design System color palette (gray-*, blue-*, purple-*, green-*, red-*, yellow-*) +- Responsive design (mobile-first) +- Consistent spacing and borders + +### Error Handling +- Try-catch blocks for all API calls +- User-friendly error notifications +- Graceful degradation (empty states, disabled buttons) +- Error message display in UI + +### Performance Optimizations +- Silent background refreshes (no loading spinners during polling) +- Debounced search in transcript viewer +- Conditional rendering based on status +- Lazy loading for audio player (preload="metadata") + +## Testing Recommendations + +### Unit Tests +- Component rendering tests +- Button click handlers +- Form validation +- State updates + +### Integration Tests +- API client method calls +- Modal open/close flows +- Route navigation +- Audio player controls + +### E2E Tests +- Complete podcast generation flow +- Question injection flow +- Download and delete operations +- Search and filter functionality + +## Known Limitations + +1. **Backend API Dependencies**: + - Question injection endpoint (`/api/podcasts/:id/inject-question`) needs backend implementation + - Backend must support dynamic podcast regeneration from timestamp + +2. **Browser Compatibility**: + - Audio player uses HTML5 `