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@AnkushMalaker AnkushMalaker released this 03 Jan 00:34
· 1 commit to main since this release
v0.1.0
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What's Changed

  • audio upload extension with gdrive credentials

  • FIX: API parameters

  • UPDATE: tmp files cleanup n code refactored as per review

  • REFACTOR: minor refactor as per review

  • REFACTOR: minor update as per review

  • UPDATE: gdrive sync logic

  • REFACTOR: code update as per gdrive and update credential client

  • REFACTOR: validation updated - as per review from CR

  • UPDATE: code has been refactore for UUID for diffrent audio upload sources

  • REFACTOR: updated code as per review

  • Update documentation and configuration to reflect the transition from 'friend-backend' to 'chronicle-backend' across various files, including setup instructions, Docker configurations, and service logs.

  • Update test script to use docker-compose-test.yml for all test-related operations

  • Added standard MIT license

  • Fix/cleanup model (#219)

  • refactor memory

  • add config

  • docstring

  • more cleanup

  • code quality

  • code quality

  • unused return

  • DOTTED GET

  • Refactor Docker and CI configurations

  • Removed the creation of memory_config.yaml from the CI workflow to streamline the process.
  • Updated Docker Compose files to mount config.yml for model registry and memory settings in both services.
  • Added new dependencies for Google API clients in uv.lock to support upcoming features.
  • Update configuration files for model providers and Docker setup
  • Changed LLM, embedding, and STT providers in config.yml to OpenAI and Deepgram.
  • Removed read-only flag from config.yml in Docker Compose files to allow UI configuration saving.
  • Updated memory configuration endpoint to accept plain text for YAML input.
  • Update transcription job handling to format speaker IDs
  • Changed variable name from speaker_name to speaker_id for clarity.
  • Added logic to convert integer speaker IDs from Deepgram to string format for consistent speaker labeling.
  • Remove loading of backend .env file in test environment setup
  • Eliminated the code that loads the .env file from the backends/advanced directory, simplifying the environment configuration for tests.
  • Enhance configuration management and setup wizard
  • Updated README to reflect the new setup wizard process.
  • Added functionality to load and save config.yml in the setup wizard, including default configurations for LLM and memory providers.
  • Improved user feedback during configuration updates, including success messages for configuration file updates.
  • Enabled backup of existing config.yml before saving changes.
  • Enhance HTTPS configuration in setup wizard
  • Added functionality to check for existing SERVER_IP in the environment file and prompt the user to reuse or enter a new IP for SSL certificates.
  • Improved user prompts for server IP/domain input during HTTPS setup.
  • Updated default behavior to use existing IP or localhost based on user input.
  • Changed RECORD_ONLY_ENROLLED_SPEAKERS setting in the .env template to false for broader access.
  • Add source parameter to audio file writing in websocket controller
  • Included a new source parameter with the value "websocket" in the _process_batch_audio_complete function to enhance audio file context tracking.

  • fix/broken-tests (#230)

  • refactor memory

  • add config

  • docstring

  • more cleanup

  • code quality

  • code quality

  • unused return

  • DOTTED GET

  • Refactor Docker and CI configurations

  • Removed the creation of memory_config.yaml from the CI workflow to streamline the process.
  • Updated Docker Compose files to mount config.yml for model registry and memory settings in both services.
  • Added new dependencies for Google API clients in uv.lock to support upcoming features.
  • Update configuration files for model providers and Docker setup
  • Changed LLM, embedding, and STT providers in config.yml to OpenAI and Deepgram.
  • Removed read-only flag from config.yml in Docker Compose files to allow UI configuration saving.
  • Updated memory configuration endpoint to accept plain text for YAML input.
  • Update transcription job handling to format speaker IDs
  • Changed variable name from speaker_name to speaker_id for clarity.
  • Added logic to convert integer speaker IDs from Deepgram to string format for consistent speaker labeling.
  • Remove loading of backend .env file in test environment setup
  • Eliminated the code that loads the .env file from the backends/advanced directory, simplifying the environment configuration for tests.
  • Enhance configuration management and setup wizard
  • Updated README to reflect the new setup wizard process.
  • Added functionality to load and save config.yml in the setup wizard, including default configurations for LLM and memory providers.
  • Improved user feedback during configuration updates, including success messages for configuration file updates.
  • Enabled backup of existing config.yml before saving changes.
  • Enhance HTTPS configuration in setup wizard
  • Added functionality to check for existing SERVER_IP in the environment file and prompt the user to reuse or enter a new IP for SSL certificates.
  • Improved user prompts for server IP/domain input during HTTPS setup.
  • Updated default behavior to use existing IP or localhost based on user input.
  • Changed RECORD_ONLY_ENROLLED_SPEAKERS setting in the .env template to false for broader access.
  • Add source parameter to audio file writing in websocket controller
  • Included a new source parameter with the value "websocket" in the _process_batch_audio_complete function to enhance audio file context tracking.
  • Refactor error handling in system controller and update memory config routes
  • Replaced ValueError with HTTPException for better error handling in save_diarization_settings and validate_memory_config functions.
  • Introduced a new Pydantic model, MemoryConfigRequest, for validating memory configuration requests in the system routes.
  • Updated the validate_memory_config endpoint to accept the new request model, improving input handling and validation.

  • Feat/add obsidian 3 (#233)

  • obsidian support

  • neo4j comment

  • cleanup code

  • unused line

  • unused line

  • Fix MemoryEntry object usage in chat service

  • comment

  • feat(obsidian): add obsidian memory search integration to chat

  • unit test

  • use rq

  • neo4j service

  • typefix

  • test fix

  • cleanup

  • cleanup

  • version changes

  • profile

  • remove unused imports

  • Refactor memory configuration validation endpoints

  • Removed the deprecated validate_memory_config_raw endpoint and replaced it with a new endpoint that accepts plain text for validation.
  • Updated the existing validate_memory_config endpoint to clarify that it now accepts JSON input.
  • Adjusted the API call in the frontend to point to the new validation endpoint.
  • Refactor health check model configuration loading
  • Updated the health check function to load model configuration from the models registry instead of the root config.
  • Improved error handling by logging warnings when model configuration loading fails.

  • Update .gitignore to exclude all files in app/ios and app/android directories (#238)

  • fix: Copy full source code in speaker-recognition Dockerfile (#243)

Adds COPY src/ src/ step after dependency installation to ensure all source files are available in the Docker image. This improves build caching while ensuring complete source code is present.

  • Enhance configuration management and add new setup scripts (#235)

  • Enhance configuration management and add new setup scripts

  • Updated .gitignore to include config.yml and its template.
  • Added config.yml.template for default configuration settings.
  • Introduced restart.sh script for service management.
  • Enhanced services.py to load config.yml and check for Obsidian/Neo4j integration.
  • Updated wizard.py to prompt for Obsidian/Neo4j configuration during setup and create config.yml from template if it doesn't exist.
  • Refactor transcription providers and enhance configuration management
  • Updated Docker Compose files to include the new Neo4j service configuration.
  • Added support for Obsidian/Neo4j integration in the setup process.
  • Refactored transcription providers to utilize a registry-driven approach for Deepgram and Parakeet.
  • Enhanced error handling and logging in transcription processes.
  • Improved environment variable management in test scripts to prioritize command-line overrides.
  • Removed deprecated Parakeet provider implementation and streamlined audio stream workers.

  • Update configuration management and enhance file structure, add test-matrix (#237)

  • Update configuration management and enhance file structure

  • Refactored configuration file paths to use a dedicated config/ directory, including updates to config.yml and its template.
  • Modified service scripts to load the new configuration path for config.yml.
  • Enhanced .gitignore to include the new configuration files and templates.
  • Updated documentation to reflect changes in configuration file locations and usage.
  • Improved setup scripts to ensure proper creation and management of configuration files.
  • Added new test configurations for various provider combinations to streamline testing processes.
  • Add test requirements and clean up imports in wizard.py
  • Introduced a new test-requirements.txt file to manage testing dependencies.
  • Removed redundant import of shutil in wizard.py to improve code clarity.
  • Add ConfigManager for unified configuration management
  • Introduced a new config_manager.py module to handle reading and writing configurations from config.yml and .env files, ensuring backward compatibility.
  • Refactored ChronicleSetup in backends/advanced/init.py to utilize ConfigManager for loading and updating configurations, simplifying the setup process.
  • Removed redundant methods for loading and saving config.yml directly in ChronicleSetup, as these are now managed by ConfigManager.
  • Enhanced user feedback during configuration updates, including success messages for changes made to configuration files.
  • Refactor transcription provider configuration and enhance setup process
  • Updated .env.template to clarify speech-to-text configuration and removed deprecated options for Mistral.
  • Modified docker-compose.yml to streamline environment variable management by removing unused Mistral keys.
  • Enhanced ChronicleSetup in init.py to provide clearer user feedback and updated the transcription provider selection process to rely on config.yml.
  • Improved error handling in the websocket controller to determine the transcription provider from the model registry instead of environment variables.
  • Updated health check routes to reflect the new method of retrieving the transcription provider from config.yml.
  • Adjusted config.yml.template to include comments on transcription provider options for better user guidance.
  • Enhance ConfigManager with deep merge functionality
  • Updated the update_memory_config method to perform a deep merge of updates into the memory configuration, ensuring nested dictionaries are merged correctly.
  • Added a new _deep_merge method to handle recursive merging of dictionaries, improving configuration management capabilities.
  • Refactor run-test.sh and enhance memory extraction tests
  • Removed deprecated environment variable handling for TRANSCRIPTION_PROVIDER in run-test.sh, streamlining the configuration process.
  • Introduced a new run-custom.sh script for executing Robot tests with custom configurations, improving test flexibility.
  • Enhanced memory extraction tests in audio_keywords.robot and memory_keywords.robot to include detailed assertions and result handling.
  • Updated queue_keywords.robot to fail fast if a job is in a 'failed' state when expecting 'completed', improving error handling.
  • Refactored test_env.py to load environment variables with correct precedence, ensuring better configuration management.

  • unify tests to robot test, add some more clean up

  • Update health check configuration in docker-compose-test.yml (#241)

  • Increased the number of retries from 5 to 10 for improved resilience during service readiness checks.
  • Extended the start period from 30s to 60s to allow more time for services to initialize before health checks commence.
  • Add step to create test configuration file in robot-tests.yml
  • Introduced a new step in the GitHub Actions workflow to copy the test configuration file from tests/configs/deepgram-openai.yml to a new config/config.yml.
  • Added logging to confirm the creation of the test config file, improving visibility during the test setup process.

  • remove cache step since not required

  • coderabbit comments

  • Refactor ConfigManager error handling for configuration file loading

  • Updated the ConfigManager to raise RuntimeError exceptions when the configuration file is not found or is invalid, improving error visibility and user guidance.
  • Removed fallback behavior that previously returned the current directory, ensuring users are explicitly informed about missing or invalid configuration files.
  • Refactor _find_repo_root method in ConfigManager
  • Updated the _find_repo_root method to locate the repository root using the file location instead of searching for config/config.yml, simplifying the logic and improving reliability.
  • Removed the previous error handling that raised a RuntimeError if the configuration file was not found, as the new approach assumes config_manager.py is always at the repo root.

  • Enhance speaker recognition service integration and error handling (#245)

  • Enhance speaker recognition service integration and error handling

  • Updated docker-compose-test.yml to enable speaker recognition in the test environment and added a new speaker-service-test service for testing purposes.
  • Refactored run-test.sh to improve the execution of Robot Framework tests from the repository root.
  • Enhanced error handling in speaker_recognition_client.py to return detailed error messages for connection issues.
  • Improved error logging in speaker_jobs.py to handle and report errors from the speaker recognition service more effectively.
  • Updated Dockerfile to copy the full source code after dependencies are cached, ensuring all necessary files are included in the image.
  • Remove integration tests workflow and enhance robot tests with HF_TOKEN verification
  • Deleted the integration-tests.yml workflow file to streamline CI processes.
  • Updated robot-tests.yml to include verification for the new HF_TOKEN secret, ensuring all required secrets are checked before running tests.

  • Fix key access in system admin tests to use string indexing for speakers data

  • Refactor Robot Framework tests and enhance error handling in memory services

  • Removed the creation of the test environment file from the GitHub Actions workflow to streamline setup.
  • Updated the Robot Framework tests to utilize a unified test script for improved consistency.
  • Enhanced error messages in the MemoryService class to provide more context on connection failures for LLM and vector store providers.
  • Added critical checks for API key presence in the OpenAIProvider class to ensure valid credentials are provided before proceeding.
  • Adjusted various test setup scripts to use a centralized BACKEND_DIR variable for better maintainability and clarity.
  • Refactor test container cleanup in run-robot-tests.sh
  • Updated the script to dynamically construct container names from docker-compose services, improving maintainability and reducing hardcoded values.
  • Enhanced the cleanup process for stuck test containers by utilizing the COMPOSE_PROJECT_NAME variable.
  • Enhance run-robot-tests.sh for improved logging and cleanup
  • Set absolute paths for consistent directory references to simplify navigation.
  • Capture container logs, status, and resource usage for better debugging.
  • Refactor cleanup process to utilize dynamic backend directory references, improving maintainability.
  • Ensure proper navigation back to the tests directory after operations.
  • Add speaker recognition configuration and update test script defaults
  • Introduced speaker recognition settings in config.yml.template, allowing for easy enable/disable and service URL configuration.
  • Updated run-robot-tests.sh to use a test-specific configuration file that disables speaker recognition for improved CI performance.
  • Modified deepgram-openai.yml to disable speaker recognition during CI tests to enhance execution speed.
  • Refactor speaker recognition configuration management
  • Updated docker-compose-test.yml to clarify speaker recognition settings, now controlled via config.yml for improved CI performance.
  • Enhanced model_registry.py to include a dedicated speaker_recognition field for better configuration handling.
  • Modified speaker_recognition_client.py to load configuration from config.yml, allowing for dynamic enabling/disabling of the speaker recognition service based on the configuration.
  • Add minimum worker count verification to infrastructure tests
  • Introduced a new keyword to verify that the minimum number of workers are registered, enhancing the robustness of health checks.
  • Updated the worker count validation test to include a wait mechanism for worker registration, improving test reliability.
  • Clarified comments regarding expected worker counts to reflect the distinction between RQ and audio stream workers.
  • Update configuration management and enhance model handling
  • Added OBSIDIAN_ENABLED configuration to ChronicleSetup for improved feature toggling.
  • Introduced speaker_recognition configuration handling in model_registry.py to streamline model loading.
  • Refactored imports in deepgram.py to improve clarity and reduce redundancy.

  • Refactor configuration management in wizard and ChronicleSetup (#246)

  • Refactor configuration management in wizard and ChronicleSetup

  • Updated wizard.py to read Obsidian/Neo4j configuration from config.yml, enhancing flexibility and error handling.
  • Refactored ChronicleSetup to utilize ConfigManager for loading and verifying config.yml, ensuring a single source of truth.
  • Improved user feedback for missing configuration files and streamlined the setup process for memory and transcription providers.
  • Fix string formatting for error message in ChronicleSetup

Full Changelog: https://github.com/chronicler-ai/chronicle/compare/v0.0.1...v0.1.0

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