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Author SHA1 Message Date
Luis Novo
18b4dfdb77
Claude/add initial tests 011 cukte9g4 qwj hjw7 g3ny rf (#190) 
* test: add comprehensive unit tests for domain module

Add 24 comprehensive unit tests covering the open_notebook.domain module:

**ObjectModel Base (5 tests)**
- Create and update operations with timestamps
- Get by ID with class resolution
- Delete validation
- Relationship creation

**RecordModel Singleton (3 tests)**
- Singleton pattern behavior
- Async database loading
- Update persistence

**ModelManager (3 tests)**
- Singleton pattern
- Model instance caching
- Default model retrieval

**Notebook Domain (3 tests)**
- Name validation (empty/whitespace)
- Source relationship queries
- Archived flag defaults

**Source Domain (3 tests)**
- Text vectorization and chunking
- Insight validation and creation
- RecordID command field parsing

**Note Domain (2 tests)**
- Content validation
- Embedding configuration

**Podcast Domain (2 tests)**
- Speaker profile validation
- Episode profile segment validation

**Additional Tests (3 tests)**
- ChatSession relationships
- Transformation creation
- ContentSettings defaults

All tests use proper mocking to avoid database dependencies and validate
both business logic and error handling. Tests follow pytest best practices
with async support, fixtures, and comprehensive assertions.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* test: add comprehensive tests for utils and graphs modules

Add 56 new unit tests covering utils and graphs modules:

**Utils Module Tests (36 tests)**

Text Utilities (13 tests):
- Text splitting with various chunk sizes
- ASCII and non-printable character removal
- Thinking tag parsing and cleaning (single/multiple tags)
- Edge cases (empty strings, invalid input, large content)

Token Utilities (4 tests):
- Token counting with tiktoken
- Cost calculation
- Fallback behavior when tiktoken unavailable

Version Utilities (7 tests):
- Semantic version comparison (equal, less, greater, prerelease)
- Installed package version retrieval
- GitHub version fetching with URL validation

Context Builder (12 tests):
- ContextItem and ContextConfig creation
- Builder initialization with various parameters
- Priority sorting and deduplication
- Token-based truncation
- Response formatting
- Source and notebook context building
- Convenience functions

**Graphs Module Tests (20 tests)**

Model Provisioning (4 tests):
- Default model selection
- Large context model triggering (>105k tokens)
- Specific model ID selection
- Kwargs pass-through

Tools (3 tests):
- Current timestamp format validation
- Timestamp validity checking
- Tool decoration verification

Prompt Graph (5 tests):
- PatternChainState structure
- Model calling with/without parser
- Graph compilation and execution

Transformation Graph (8 tests):
- TransformationState structure
- Transformation with source objects
- Transformation with direct input text
- Thinking content cleaning
- Content validation
- Graph compilation and execution
- Default prompt integration

All tests use proper mocking to avoid external dependencies (network,
database) and validate both success paths and error handling.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* improve tests

---------

Co-authored-by: Claude <noreply@anthropic.com>
 2025-10-21 16:54:59 -03:00
Luis Novo
4c2b8257fc
OpenAI compatible multimodal (#167) 
* fix text

* remove lint from docker publish workflow

* gemini base url docs

* feat: add multimodal support for openai-compatible providers

- Add helper function to check OpenAI-compatible provider availability per mode
- Update provider detection to support language, embedding, STT, and TTS modalities
- Implement mode-specific environment variable detection (LLM, EMBEDDING, STT, TTS)
- Maintain backward compatibility with generic OPENAI_COMPATIBLE_BASE_URL
- Add comprehensive unit tests for all configuration scenarios
- Update .env.example with mode-specific environment variables
- Update provider support matrix in ai-models.md
- Create comprehensive openai-compatible.md setup guide

This enables users to configure different OpenAI-compatible endpoints for
different AI capabilities (e.g., LM Studio for language models, dedicated
server for embeddings) while maintaining full backward compatibility.

* upgrade

* chore: change docker release strategy
 2025-10-19 07:44:05 -03:00
Luis Novo
b7e656a319
Version 1 (#160) 
New front-end
Launch Chat API
Manage Sources
Enable re-embedding of all contents
Sources can be added without a notebook now
Improved settings
Enable model selector on all chats
Background processing for better experience
Dark mode
Improved Notes

Improved Docs: 
- Remove all Streamlit references from documentation
- Update deployment guides with React frontend setup
- Fix Docker environment variables format (SURREAL_URL, SURREAL_PASSWORD)
- Update docker image tag from :latest to :v1-latest
- Change navigation references (Settings → Models to just Models)
- Update development setup to include frontend npm commands
- Add MIGRATION.md guide for users upgrading from Streamlit
- Update quick-start guide with correct environment variables
- Add port 5055 documentation for API access
- Update project structure to reflect frontend/ directory
- Remove outdated source-chat documentation files
 2025-10-18 12:46:22 -03:00
LUIS NOVO
bcd260a28b Initial commit with all features 2024-10-21 14:56:10 -03:00