Chat2DB is an AI-enhanced, open-source SQL client and database management tool developed by CodePhiliaX. It integrates ChatGPT for improved SQL query writing and data management across multiple databases. The project is actively evolving, with a strong community presence and significant engagement. However, there are areas needing attention, such as bug fixes and feature enhancements.
Chat2DB-Pro
Chee-0806
miahemu
tmlx1990
Timespan | Opened | Closed | Comments | Labeled | Milestones |
---|---|---|---|---|---|
7 Days | 14 | 0 | 9 | 6 | 1 |
30 Days | 35 | 2 | 35 | 15 | 1 |
90 Days | 74 | 16 | 78 | 35 | 1 |
1 Year | 313 | 134 | 422 | 124 | 1 |
All Time | 1135 | 720 | - | - | - |
Like all software activity quantification, these numbers are imperfect but sometimes useful. Comments, Labels, and Milestones refer to those issues opened in the timespan in question.
Developer | Avatar | Branches | PRs | Commits | Files | Changes |
---|---|---|---|---|---|---|
玦尘 (miahemu) | 0 | 1/0/0 | 0 | 0 | 0 | |
Xin Yan (tmlx1990) | 0 | 0/1/0 | 0 | 0 | 0 | |
None (Chee-0806) | 0 | 1/0/0 | 0 | 0 | 0 | |
Chat2DB | ![]() |
0 | 0/0/0 | 0 | 0 | 0 |
PRs: created by that dev and opened/merged/closed-unmerged during the period
Risk | Level (1-5) | Rationale |
---|---|---|
Delivery | 4 | The project faces significant delivery risks due to a backlog of 415 open issues and a lack of recent commit activity. The stagnation in development, as evidenced by no commits in the past 14 days, suggests potential delays in meeting delivery timelines. Additionally, unresolved critical issues such as database connectivity failures (#1660, #1663) and AI integration problems (#1674, #1675) further exacerbate these risks. The presence of numerous open pull requests also indicates bottlenecks in code review processes that could impact delivery. |
Velocity | 5 | The project's velocity is at high risk due to the complete absence of commit activity over the past 14 days. Key contributors have not made any commits, indicating potential issues with team engagement or availability. This stagnation is compounded by a growing backlog of unresolved issues and pull requests, suggesting severe bottlenecks in development processes. The lack of new branches or merged PRs further highlights the slowdown in development progress. |
Dependency | 3 | The project has a moderate dependency risk due to its reliance on numerous external libraries and AI services. Issues such as the inability to start the development branch using 'yarn run start:web' (PR #1666) highlight potential configuration or dependency challenges. While there are efforts to update dependencies, such as the JDBC driver update (PR #1570), the extensive use of external services like OpenAI and AzureAI introduces risks if these services change or fail. |
Team | 4 | The team faces significant risks related to engagement and productivity, as indicated by the lack of commit activity from key contributors over the past two weeks. This inactivity suggests possible burnout or availability issues within the team. The backlog of unresolved PRs and issues further points to potential communication or coordination challenges that could impact team effectiveness. |
Code Quality | 3 | Code quality is at moderate risk due to the complexity and extensiveness of recent changes, such as those related to PostgreSQL table DDL generation (PR #1430). While these updates enhance functionality, they pose risks for introducing new bugs if not thoroughly reviewed. The focus on bug fixes rather than new feature development suggests maintenance efforts but also highlights challenges in ensuring high-quality code contributions. |
Technical Debt | 4 | Technical debt is a significant concern due to the accumulation of unresolved issues and long-standing open PRs, some over 250 days old. The project's expansion into new areas, such as additional database support and AI integrations, increases complexity without addressing existing technical debt. This situation is exacerbated by the lack of recent development activity, which hinders efforts to manage and reduce technical debt effectively. |
Test Coverage | 3 | Test coverage risk is moderate due to limited evidence of recent testing activities or updates. While there are dependencies related to testing tools like 'jest', the lack of new commits makes it challenging to assess current test coverage adequately. The focus on bug fixes suggests some level of testing but does not provide confidence in comprehensive test coverage across new features or integrations. |
Error Handling | 3 | Error handling is at moderate risk despite some structured approaches seen in components like ChatController.java and WsServer.java. These components demonstrate robust error management strategies; however, ongoing issues with AI integration and database connectivity suggest gaps in error handling that need addressing. The reliance on multiple external services further complicates consistent error management across different systems. |
Recent activity in the Chat2DB repository shows a high volume of issue creation, with several issues being opened daily. This indicates active development and community engagement. Notably, many issues are related to suggestions for new features or improvements, reflecting user interest in expanding the tool's capabilities.
Overall, the Chat2DB project is actively evolving with significant community involvement, focusing on both fixing existing issues and expanding functionality to meet user needs across diverse database environments and AI integrations.
#1678: fix(ai): 修复 AI 聊天缓存类型异常和 SSE 连接关闭问题
ClassCastException
when retrieving cached messages from LocalCache
and optimizes the onClosed
method in RestAIEventSourceListener
to handle SseEmitter
states. This is a critical fix as it resolves an issue (#1661) affecting AI chat functionality.#1666: Solve the problem that dev cannot start
#1570: Update timeplus.json with latest JDBC driver
TABLE
in the JDBC metadata API.#1590: add language for Korean
#1585: Add Duckdb
#1665: fix:1656 自定义AIOpenrouter无法使用
#1626: fix: 修复自定义AI保存后再次进入没有显示的问题。
#1621: fix: 修复 mariadb 查询时报错
#1599: fix:1559 修复自定义AI不能使用的问题。
#1544: Timeplus plugin
The CodePhiliaX/Chat2DB project is actively maintained with numerous open and recently closed pull requests addressing critical bugs and expanding functionality. The project continues to grow its database support and improve user accessibility through language additions. However, attention should be given to long-standing open PRs to ensure they are either resolved or closed if no longer relevant.
chat2db-client/src/blocks/Setting/AiSetting/index.tsx
useState
, useEffect
), and using TypeScript interfaces for type safety.handleAiTypeChange
function, but more comprehensive error handling could be beneficial.chat2db-server/chat2db-server-domain/chat2db-server-domain-api/src/main/java/ai/chat2db/server/domain/api/model/DataSource.java
@Data
) reduces boilerplate code. Fields are appropriately typed, and JavaDoc comments provide useful context.chat2db-client/src/components/ConnectionEdit/config/dataSource.ts
chat2db-client/src/components/ConsoleEditor/index.tsx
IntelligentEditorContext
) to manage state across nested components effectively.handleApiKeyEmptyOrGetQrCode
, handleAiChat
). However, some areas could benefit from more robust error handling strategies.chat2db-server/chat2db-server-domain/chat2db-server-domain-api/src/main/java/ai/chat2db/server/domain/api/model/User.java
@NotNull
), ensuring data integrity. Overall, the files demonstrate good coding practices with room for improvement in modularization, error handling, and documentation.
Commit Frequency: The recent activity shows a lack of commits from all team members within the last 14 days, indicating a possible lull in development or focus on non-code tasks.
Pull Requests: There are minimal open pull requests, suggesting either a slowdown in new feature development or efficient merging of existing work.
Collaboration and Work in Progress: There is limited evidence of active collaboration among team members, with only a few open pull requests indicating ongoing work.
Recent Fixes and Updates:
Overall, the recent activities suggest a focus on bug fixes rather than new feature development, with limited collaborative efforts visible from the data provided.