Quantify commits

Quantified Commit Activity Over 14 Days

Developer	Avatar	Branches	PRs	Commits	Files	Changes
ItzCrazyKns		2	1/1/0	45	50	8022
Swifty		1	2/1/1	1	1	5
None (cosark)		0	1/0/1	0	0	0
Alok Saboo (arsaboo)		0	1/0/1	0	0	0
None (rogerserper)		0	1/0/1	0	0	0
None (lifecoder1988)		0	1/0/1	0	0	0

_{PRs: created by that dev and opened/merged/closed-unmerged during the period}

Report On: Fetch issues

Analysis of Open Issues for ItzCrazyKns/Perplexica

Notable Open Issues

Issue #31: Add one-click deployment buttons

• Status: Open, created 0 days ago.
• Summary: A request to add one-click deployment buttons for RepoCloud and Render.
• Notable: This issue is a follow-up from a closed issue (#30) where the original poster was asked to create an issue instead of a pull request for better maintainability.

Issue #20: Invalid provider, please check backend logs

• Status: Open, created 1 day ago, edited 0 days ago.
• Summary: A bug report about an invalid provider error in the "Chat Model" and issues with changing the URL.
• Notable: There is an active discussion with multiple users experiencing similar issues. The problem seems related to Ollama model loading and configuration settings. The issue includes detailed error logs and troubleshooting steps, but no resolution yet.

Issue #18: FileNotFoundError for missing 'framalibre.py' in searxng engine initialization

• Status: Open, created 2 days ago.
• Summary: A bug report about startup errors during search engine module initialization and missing configuration files.
• Notable: The issue has been acknowledged by ItzCrazyKns, suggesting that SearxNG removed the framalibre engine. However, users are still experiencing related problems, indicating that the issue might not be fully resolved.

Issue #16: Generic endpoint support for OpenAI API compatible providers

• Status: Open, created 2 days ago, edited 1 day ago.
• Summary: A feature request for generic support for OpenAI API compatible providers.
• Notable: ItzCrazyKns has marked this feature as a priority and is working on adding it soon. There's community interest in expanding support for different providers.

Issue #15: Feature Request - Multi-Model Service Provider Support

• Status: Open, created 2 days ago.
• Summary: A feature request for support of multiple model service providers in Perplexica.
• Notable: ItzCrazyKns has acknowledged the request and mentioned that they are expanding model support.

Issue #14: WebSocket Connection Failure in DevTools Console

• Status: Open, created 7 days ago, edited 1 day ago.
• Summary: A bug report about WebSocket connection failures displayed in the browser's DevTools console.
• Notable: There's an extensive discussion with troubleshooting steps provided by ItzCrazyKns. The issue seems related to Docker configuration and WebSocket server setup. The problem persists despite attempts to resolve it.

General Trends and Observations

• There is a trend of issues related to deployment configurations and environment settings (#20, #14), indicating that users may be facing challenges with setup procedures.
• The project maintainer, ItzCrazyKns, is actively engaged in discussions and providing support to users facing issues.
• Feature requests (#16, #15) show community interest in expanding the capabilities of Perplexica to support a wider range of AI models and service providers.
• Recent closed issues indicate that one-click deployment options (#30) and generic endpoint support (#16) are being considered or worked on by the project maintainer.

Recommendations

1. For issue #20, further investigation into the Ollama model loading errors is needed. It may be beneficial to provide clearer instructions or automated checks within the application to ensure correct configurations.
2. Given the ongoing WebSocket connection issues (#14), it might be worth considering additional documentation or a troubleshooting guide specifically for Docker and WebSocket-related configurations.
3. The active development of features like generic endpoint support (#16) and multi-model service provider support (#15) should be communicated clearly in the project's roadmap or upcoming features list to manage community expectations.

Report On: Fetch pull requests

Analysis of Closed Pull Requests for ItzCrazyKns/Perplexica

Notable Closed Pull Requests Without Merge

• PR #30: The PR was closed without being merged because the maintainer preferred to add one-click deploy buttons themselves for easier maintenance. This seems like a reasonable decision to ensure the project's deployment templates remain up-to-date with the maintainer's changes.

• PR #29: This PR was not merged due to the proposed Serper API lacking support for several search engines critical to Perplexica's functionality. The maintainer's decision to close this PR is justified as integrating an incomplete solution would degrade the project's capabilities.

• PR #24: Closed without merging because the maintainer is already working on an improved logging system for the upcoming 1.0.0 release. The effort in this PR may have been redundant or conflicting with the new system.

• PR #22: The PR was closed without merging because it contained minimal changes and the upcoming 1.0.0 release already includes support for custom OpenAI endpoints. This indicates that the project is actively being improved, and contributions need to align with the roadmap.

• PR #12: This PR was not merged as the maintainer has a different vision for the UI design, preferring uniqueness over consistency with other interfaces.

• PR #1: The PR was closed without merging because it addressed an issue that seemed to stem from user error rather than a problem with the project itself. The maintainer clarified that Yarn is included in the Docker image, so installing it on the system shouldn't be necessary.

Significant Merged Pull Requests

• PR #23: Merged successfully, adding support for gpt-4-turbo as a provider. This indicates active development and integration of new features into Perplexica.

• PR #7: A merge from master into a feature branch (feat/ollama-support), which suggests ongoing development work on a specific feature set.

Summary

There are no open pull requests at this time, indicating either efficient management or low external contribution volume. The closed pull requests reveal a focus on preparing for a significant 1.0.0 release, which seems to include major updates such as a revised logging system and support for custom OpenAI endpoints.

The maintainer appears to have clear criteria for accepting contributions, prioritizing alignment with the project's roadmap and maintenance considerations. Decisions to close PRs seem well-justified based on these criteria.

It is worth noting that some contributors may benefit from clearer guidance on contribution standards and project direction, possibly through updated documentation or contribution guidelines, to prevent efforts that are unlikely to be merged due to conflicts with upcoming releases or project vision.

Report On: Fetch Files For Assessment

Analysis of Source Code Files in the Perplexica Repository

1. src/agents/videoSearchAgent.ts

• Purpose: This TypeScript file defines a video search agent which utilizes a language model to rephrase user queries into standalone questions for searching videos on YouTube.
• Structure:
  • The file imports necessary classes and functions from external libraries and local utilities.
  • It defines a template for the video search prompt and a type for input data.
  • A main function createVideoSearchChain constructs a sequence of operations to process the input, generate a query, and fetch video results.
  • handleVideoSearch is an exported function that serves as the interface for video search functionality.
• Quality:
  • Readability: The code is well-structured and uses descriptive variable names, making it easy to understand.
  • Reusability: The modular design allows components like RunnableSequence and RunnableMap to be reused across different parts of the application.
  • Maintainability: The separation of concerns and clear documentation comments would make this code easier to maintain.
  • Robustness: Error handling is not explicitly shown in the snippet provided, which could be a point of improvement.

2. src/routes/videos.ts

• Purpose: This file sets up an Express.js route to handle POST requests for video searches.
• Structure:
  • Imports necessary modules and functions from both external libraries and local files.
  • Defines an Express router to handle requests at the /videos endpoint.
  • Uses async functions to handle video search requests, including error handling and response management.
• Quality:
  • Readability: The use of modern JavaScript features like async/await improves the readability.
  • Reusability: The code is specific to the video search functionality but uses generic error handling that could be abstracted for reuse.
  • Maintainability: Centralized error logging and clear separation between route handling and business logic aid maintainability.
  • Performance: The code asynchronously handles model fetching and querying, which is beneficial for performance in a networked environment.

3. ui/components/SearchVideos.tsx

• Purpose: This React component provides a UI for users to initiate and view results from a video search.
• Structure:
  • Uses functional component structure with hooks such as useState.
  • Handles UI states like loading, displaying results, and managing lightbox views for videos.
  • Sends POST requests to the backend and processes responses to display video thumbnails and lightbox slides.
• Quality:
  • Readability: JSX is used effectively to describe UI structure, enhancing readability.
  • Reusability: While the component is specialized, some parts like the lightbox setup could be made more reusable.
  • Maintainability: State management is handled locally within the component, which could become complex with additional features. Consider using context or state management libraries for larger scale applications.

4. src/utils/logger.ts

• Purpose: Provides a logging utility using Winston for structured logging in different environments (console and file).
• Structure:
  • Configures Winston with different transports based on the environment (development vs. production).
• Quality:
  • Readability: Minimalist setup enhances readability.
  • Reusability: Highly reusable across different parts of the application for consistent logging practices.
  • Maintainability: Centralized logging configuration simplifies maintenance.

5. src/lib/providers.ts

• Purpose: Manages configuration and instantiation of chat models from different providers (OpenAI, Ollama).
• Structure:
  • Fetches API keys and endpoints from configuration, dynamically loads models based on availability.
• Quality:
  • Robust error handling with logging indicates good fault tolerance.

6. sample.config.toml

• Purpose: Provides a template for application configuration settings like API keys, model details, etc.
• Structure:
  • Simple TOML format with clear section headers for different configuration aspects (General settings, API keys, endpoints).
• Quality:
  • Easy to modify and extend, facilitating customization of the application setup.

Conclusion

The analyzed source code demonstrates good software engineering practices such as modularity, readability, and maintainability across both backend and frontend components. However, there are areas such as error handling in videoSearchAgent.ts where robustness can be improved. Overall, the codebase appears well-suited to support ongoing development and scaling of Perplexica's features.

Report On: Fetch commits

Perplexica Project Overview

Perplexica is an open-source AI-powered search engine that offers a deep internet search capability by understanding user queries through advanced machine learning algorithms. It is inspired by Perplexity AI and aims to be an open-source alternative that prioritizes user privacy while delivering up-to-date information. The project utilizes SearxNG for its metasearch functionality and supports various search modes tailored to different types of queries, such as academic research, video content, and more. Perplexica is maintained under the MIT License and has garnered significant attention with 1399 stars on GitHub.

The overall state of the project seems to be in active development with regular updates and feature enhancements. The development trajectory includes the addition of new features like Copilot Mode, local LLMs support, and a settings page, indicating a focus on expanding capabilities and improving user experience.

Development Team Activity

ItzCrazyKns

• Total Commits: 45
• Files Worked On: 50
• Branches: master, feat/ollama-support
• Pull Requests: Opened 1, Merged 1

Swiftyos (Swifty)

• Total Commits: 1
• Files Worked On: 1
• Branches: master
• Pull Requests: Opened 2, Merged 1, Closed-unmerged 1

cosark

• Pull Requests: Closed-unmerged 1

rogerserper

• Pull Requests: Closed-unmerged 1

lifecoder1988

• Pull Requests: Closed-unmerged 1

arsaboo

• Pull Requests: Closed-unmerged 1

Recent Commit Activity (Reverse Chronological Order)

#### ItzCrazyKns - 0 days ago
- Added video search feature.
- Fixed bugs in image search.
- Added button animations in image search.
- Implemented a new logger system.
- Updated README with manual installation steps.

#### Swiftyos - 1 day ago
- Added support for GPT-4 Turbo provider.

#### ItzCrazyKns - Various dates within the last two weeks
- Updated sample settings and README for clarity.
- Dropped unsupported engines from searxng-settings.
- Fixed engine names in agents.
- Updated UI elements like Navbar padding.
- Handled chat history for image search.
- Enhanced UI for settings dialog.
- Added `updateConfig` method and config route.
- Improved error handling in providers.
- Made various updates to README and CONTRIBUTING files.

#### ItzCrazyKns - feat/ollama-support branch (12 days ago)
- Updated image search agent to use baseURL from environment variables.

#### ItzCrazyKns - feat/ollama-support branch (13 days ago)
- Merged changes from master into feat/ollama-support branch.

Patterns and Conclusions

ItzCrazyKns is the most active developer on the project, having made numerous commits across a wide range of files. The focus has been on adding new features such as video search, refining existing features like image search, enhancing the UI, and improving documentation. There is also an emphasis on code quality and maintainability with the addition of a logging system.

Swiftyos contributed by adding support for a new provider (GPT-4 Turbo), which suggests an effort to stay current with the latest advancements in language models.

The activity in the feat/ollama-support branch indicates ongoing work to integrate Ollama models into Perplexica, which aligns with the project's goal of supporting local LLMs.

Other team members have not made direct commits but have been involved in pull request activities, indicating collaboration and code review processes are in place.

Overall, the development team's recent activities demonstrate a commitment to enhancing Perplexica's functionality, usability, and performance while maintaining an open-source ethos.