search

yike5460 / intelli-ops

http://fp8.co
Apache License 2.0
1 stars 0 forks source link

feat: merge from main to dev branch #32

Closed yike5460 closed 1 month ago

yike5460 commented 1 month ago

🤖 AI-Generated PR Description (Powered by Amazon Bedrock)

Description

This pull request introduces a new feature for generating and validating test cases for code snippets. It includes a set of new files under the src/preview directory, which contain the core logic for this functionality. Additionally, it modifies existing files to integrate the new feature and update dependencies.

The key changes are as follows:

The modified files include updates to dependencies, integration of the new feature, and minor bug fixes.

Type of change

File Stats Summary

File number involved in this PR: 16, unfold to see the details:

The file changes summary is as follows: |
Files
|
Changes
|
Change Summary
| |:-------|:--------|:--------------| | .gitignore | 5 added, 0 removed | The changes add exclusions for JavaScript files in the src/preview, src, and test directories to the .gitignore file. | | src/preview/testValidator.ts | 67 added, 0 removed | This code defines a TestValidator class that can validate and run tests using Jest, and provides a method to get a coverage summary for the executed tests. | | src/utils.ts | 3 added, 1 removed | This code change adds an optional `temperature` parameter to the `invokeModel` function with a default value of 0.6, and includes the `temperature` property in the request payload sent to the Anthropic API. | | src/preview/snippetMap.ts | 18 added, 0 removed | This code defines a class `SnippetMap` that manages a map of function names to arrays of code snippets, with methods to add snippets, get snippets, and check if snippets exist for a given function name. | | dist/utils.d.ts | 1 added, 1 removed | The code change introduces an optional `temperature` parameter to the `invokeModel` function, allowing control over the randomness of the model's output. | | src/preview/promptRefiner.ts | 27 added, 0 removed | This code adds functionality to refine prompts by including code snippets, error messages, documentation comments, and function bodies if they are missing from the original prompt. | | test/debugTestGenerator.ts | 89 added, 0 removed | This code sets up a mock environment to generate unit tests for a TypeScript project using the Bedrock Runtime client and the GitHub Octokit library. | | src/preview/resultCollector.ts | 64 added, 0 removed | This code defines interfaces and a base class for collecting and managing test results, prompt information, and code coverage data during testing. | | src/codeReviewInline.ts | 2 added, 2 removed | The code change removes all XML tags containing "review comments" from the output, regardless of case, using a regular expression replacement and trimming whitespace. | | src/preview/prompt-obsolete.ts | 88 added, 0 removed | This code defines a `Prompt` class that creates prompts for generating unit tests for API functions, with options to include usage examples, documentation comments, function body, and previous errors. | | src/prompts.ts | 154 added, 132 removed | The code changes introduce new properties and methods to support unit test generation for TypeScript code. Specifically, it adds fields to store code snippets, doc comments, function body, and error messages. It also includes a new prompt template for generating unit tests using Jest. | | src/preview/languageModel.ts | 23 added, 0 removed | This code defines an interface `ICompletionModel` and a class `LanguageModel` that implements it, providing a method `getCompletions` to generate text completions using an AWS Bedrock Runtime client. | | web/README.md | 5 added, 2 removed | The code changes include migrating from ViteJS to NextJS, updating configuration files, and adding new files for styles, Tailwind, and TypeScript. Additionally, Vercel hosting platform configuration needs to be updated for environment variables. | | src/preview/testGenerator.ts | 265 added, 0 removed | This code change introduces a new class `TestGenerator` and a function `generateUnitTestsSuite`. The `TestGenerator` class is responsible for generating and validating unit tests using a language model (e.g., GPT-3) and a test validator. The `generateUnitTestsSuite` function orchestrates the process of generating unit tests for TypeScript files in a GitHub repository, either for all files or only for changed files in a pull request. | | src/preview/designTestGenerator.md | 393 added, 0 removed | This code implements a workflow to generate unit tests for a given codebase using large language models, with the following key points: - Iterates through different temperature values for language model. - Generates initial prompt using API function and code snippets. - Requests language model for test case completions. - Validates generated tests using Mocha and NYC for coverage. - Refines prompts if tests fail using techniques like error inclusion. - Collects test results, prompt info, and coverage data. - Pushes generated tests to a pull request branch. | | dist/index.js | 428 added, 510 removed | The code changes can be summarized as follows: The run function has been modified to include a new branch for generating code review comments. If the generateCodeReview variable is set to true, the generateCodeReviewComment function is called, passing the necessary parameters. This function generates inline code review comments using the Amazon Bedrock AI model. |
vercel[bot] commented 1 month ago

The latest updates on your projects. Learn more about Vercel for Git ↗︎

Name Status Preview Comments Updated (UTC)
app-serverless ✅ Ready (Inspect) Visit Preview 💬 Add feedback Sep 26, 2024 10:01am
intelli-ops-qr2k ✅ Ready (Inspect) Visit Preview 💬 Add feedback Sep 26, 2024 10:01am
coderabbitai[bot] commented 1 month ago

[!IMPORTANT]

Review skipped

Auto reviews are disabled on base/target branches other than the default branch.

Please check the settings in the CodeRabbit UI or the .coderabbit.yaml file in this repository. To trigger a single review, invoke the @coderabbitai review command.

You can disable this status message by setting the reviews.review_status to false in the CodeRabbit configuration file.

[!NOTE]

:gift: Summarized by CodeRabbit Free Your organization is on the Free plan. CodeRabbit will generate a high-level summary and a walkthrough for each pull request. For a comprehensive line-by-line review, please upgrade your subscription to CodeRabbit Pro by visiting .
:placard: Tips ### Chat There are 3 ways to chat with [CodeRabbit](https://coderabbit.ai): - Review comments: Directly reply to a review comment made by CodeRabbit. Example: - `I pushed a fix in commit , please review it.` - `Generate unit testing code for this file.` - `Open a follow-up GitHub issue for this discussion.` - Files and specific lines of code (under the "Files changed" tab): Tag `@coderabbitai` in a new review comment at the desired location with your query. Examples: - `@coderabbitai generate unit testing code for this file.` - `@coderabbitai modularize this function.` - PR comments: Tag `@coderabbitai` in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples: - `@coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.` - `@coderabbitai read src/utils.ts and generate unit testing code.` - `@coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.` - `@coderabbitai help me debug CodeRabbit configuration file.` Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments. ### CodeRabbit Commands (Invoked using PR comments) - `@coderabbitai pause` to pause the reviews on a PR. - `@coderabbitai resume` to resume the paused reviews. - `@coderabbitai review` to trigger an incremental review. This is useful when automatic reviews are disabled for the repository. - `@coderabbitai full review` to do a full review from scratch and review all the files again. - `@coderabbitai summary` to regenerate the summary of the PR. - `@coderabbitai resolve` resolve all the CodeRabbit review comments. - `@coderabbitai configuration` to show the current CodeRabbit configuration for the repository. - `@coderabbitai help` to get help. ### Other keywords and placeholders - Add `@coderabbitai ignore` anywhere in the PR description to prevent this PR from being reviewed. - Add `@coderabbitai summary` to generate the high-level summary at a specific location in the PR description. - Add `@coderabbitai` anywhere in the PR title to generate the title automatically. ### CodeRabbit Configuration File (`.coderabbit.yaml`) - You can programmatically configure CodeRabbit by adding a `.coderabbit.yaml` file to the root of your repository. - Please see the [configuration documentation](https://docs.coderabbit.ai/guides/configure-coderabbit) for more information. - If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: `# yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json` ### Documentation and Community - Visit our [Documentation](https://coderabbit.ai/docs) for detailed information on how to use CodeRabbit. - Join our [Discord Community](https://discord.com/invite/GsXnASn26c) to get help, request features, and share feedback. - Follow us on [X/Twitter](https://twitter.com/coderabbitai) for updates and announcements.