Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

feat: Improve CI #431

Merged
merged 2 commits into from
Nov 18, 2024
Merged

feat: Improve CI #431

merged 2 commits into from
Nov 18, 2024

Conversation

leehuwuj
Copy link
Collaborator

@leehuwuj leehuwuj commented Nov 18, 2024

Summary by CodeRabbit

  • New Features

    • Introduced a new constant to determine if the code is running in a Continuous Integration (CI) environment, streamlining API key prompts in CI.
  • Bug Fixes

    • Adjusted logic to prevent unnecessary prompts for API keys in CI environments, improving user experience during automated processes.
  • Improvements

    • Enhanced the handling of document IDs in file processing, improving clarity and maintainability of the code.
    • Streamlined command argument construction for better security by removing sensitive API keys from command execution context.

Copy link

changeset-bot bot commented Nov 18, 2024

⚠️ No Changeset found

Latest commit: 745ef77

Merging this PR will not cause a version bump for any packages. If these changes should not result in a new version, you're good to go. If these changes should result in a version bump, you need to add a changeset.

This PR includes no changesets

When changesets are added to this PR, you'll see the packages that this PR includes changesets for and the associated semver types

Click here to learn what changesets are, and how to add one.

Click here if you're a maintainer who wants to add a changeset to this PR

Copy link

coderabbitai bot commented Nov 18, 2024

Walkthrough

The pull request introduces modifications across several files, primarily focusing on the handling of API keys in a Continuous Integration (CI) environment. In e2e/utils.ts, the runCreateLlama function was updated to exclude sensitive API keys from command arguments. Changes in helpers/providers/openai.ts and questions/questions.ts involve the introduction of a new isCI constant that alters the logic for prompting users for API keys based on the execution environment. These adjustments streamline the user experience during automated processes while maintaining existing functionality and error handling.

Changes

File Change Summary
e2e/utils.ts Modified runCreateLlama to remove OPENAI_API_KEY and LLAMA_CLOUD_API_KEY from command args. Adjusted dataSourceArgs handling for flags. Retained error handling and application start logic.
helpers/providers/openai.ts Updated askOpenAIQuestions to include isCI check for API key prompt, allowing CI environments to bypass the prompt.
questions/index.ts Introduced isCI constant to determine CI environment, streamlining condition checks in askQuestions.
questions/questions.ts Modified askProQuestions to use isCI for LlamaCloud API key prompt logic, preventing prompts in CI environments.
templates/types/streaming/fastapi/app/services/file.py Updated FileService methods to improve indexing logic and simplify access to project and pipeline IDs.

Possibly related PRs

Suggested reviewers

  • marcusschiesser

🐰 In the land of code where bunnies play,
We’ve tidied up keys in a clever way.
In CI they hop, no prompts in sight,
With streamlined logic, everything feels right.
So let’s celebrate with a joyful cheer,
For cleaner code brings us all good cheer! 🎉

Warning

Rate limit exceeded

@leehuwuj has exceeded the limit for the number of commits or files that can be reviewed per hour. Please wait 4 minutes and 49 seconds before requesting another review.

⌛ How to resolve this issue?

After the wait time has elapsed, a review can be triggered using the @coderabbitai review command as a PR comment. Alternatively, push new commits to this PR.

We recommend that you space out your commits to avoid hitting the rate limit.

🚦 How do rate limits work?

CodeRabbit enforces hourly rate limits for each developer per organization.

Our paid plans have higher rate limits than the trial, open-source and free plans. In all cases, we re-allow further reviews after a brief timeout.

Please see our FAQ for further information.

📥 Commits

Reviewing files that changed from the base of the PR and between 27f1834 and 745ef77.


📜 Recent review details

Configuration used: .coderabbit.yaml
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between 27f1834 and 745ef77.

📒 Files selected for processing (1)
  • templates/types/streaming/fastapi/app/services/file.py (1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
  • templates/types/streaming/fastapi/app/services/file.py

Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

❤️ Share
🪧 Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>, 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.

Documentation and Community

  • Visit our Documentation for detailed information on how to use CodeRabbit.
  • Join our Discord Community to get help, request features, and share feedback.
  • Follow us on X/Twitter for updates and announcements.

Copy link

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 0

🧹 Outside diff range and nitpick comments (2)
questions/index.ts (1)

Line range hint 12-19: Address type safety concerns in the pro questions path.

The current implementation has two issues that should be addressed:

  1. The unsafe type casting args as unknown as QuestionResults could hide potential type mismatches
  2. There's a TODO comment indicating needed refactoring

Would you like help with:

  1. Implementing proper return type handling for askProQuestions?
  2. Creating a GitHub issue to track the refactoring work?

The refactoring should ensure type safety by having askProQuestions return a proper QuestionResults object instead of relying on type casting.

helpers/providers/openai.ts (1)

Line range hint 15-24: Document CI behavior in function JSDoc

Consider adding documentation about how the function behaves differently in CI environments. This will help other developers understand the expected behavior.

Add JSDoc comments like this:

+/**
+ * Prompts for OpenAI configuration unless running in CI environment.
+ * In CI, relies entirely on environment variables for API keys.
+ * @param {Object} params Configuration parameters
+ * @param {string} [params.openAiKey] Optional API key
+ * @param {boolean} [params.askModels] Whether to prompt for model selection
+ * @returns {Promise<ModelConfigParams>} Resolved configuration
+ */
 export async function askOpenAIQuestions({
   openAiKey,
   askModels,
 }: ModelConfigQuestionsParams): Promise<ModelConfigParams> {
📜 Review details

Configuration used: .coderabbit.yaml
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between 6925676 and 1116eb1.

📒 Files selected for processing (4)
  • e2e/utils.ts (0 hunks)
  • helpers/providers/openai.ts (2 hunks)
  • questions/index.ts (1 hunks)
  • questions/questions.ts (2 hunks)
💤 Files with no reviewable changes (1)
  • e2e/utils.ts
🔇 Additional comments (6)
questions/index.ts (1)

7-7: Add JSDoc documentation for the exported isCI constant.

Since this is an exported constant used across multiple files for CI detection, it would be valuable to document its purpose and implications.

Add documentation like:

+/**
+ * Indicates whether the code is running in a CI environment.
+ * This includes both standard CI platforms (detected via ci-info)
+ * and Playwright test runs.
+ */
export const isCI = ciInfo.isCI || process.env.PLAYWRIGHT_TEST === "1";

Let's verify where this constant is being used:

✅ Verification successful

Add JSDoc documentation for the exported isCI constant

The suggested documentation would be valuable as the isCI constant is used in a clear and appropriate way - to skip interactive prompts in CI environments. The current usage in helpers/providers/openai.ts shows it's being used to determine whether to prompt for an API key interactively, which aligns perfectly with both CI detection methods (standard CI platforms and Playwright test runs).

+/**
+ * Indicates whether the code is running in a CI environment.
+ * This includes both standard CI platforms (detected via ci-info)
+ * and Playwright test runs.
+ */
export const isCI = ciInfo.isCI || process.env.PLAYWRIGHT_TEST === "1";
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Find all usages of isCI to ensure the combined detection logic is appropriate
# for all use cases

echo "Searching for isCI imports and usages:"
rg -l "import.*\{.*isCI.*\}.*from.*['\"].*questions.*['\"]"

Length of output: 180


Script:

#!/bin/bash
# Let's check how isCI is used in the openai.ts file
rg "isCI" helpers/providers/openai.ts -B 2 -A 2

Length of output: 329

helpers/providers/openai.ts (2)

6-6: LGTM: Clean import addition

The import of isCI is properly placed and aligns with the PR's objective to improve CI handling.


34-34: Verify API key handling in CI environment

While skipping the prompt in CI is logical, we should ensure proper error handling when API keys are missing in CI environments.

Let's verify the error handling paths:

✅ Verification successful

Let me gather more information about the error handling in the OpenAI provider.


API key handling in CI environment is properly implemented

The code has appropriate error handling for missing API keys:

  • In CI, it skips the interactive prompt but still requires the API key through environment variables
  • The getAvailableModelChoices function explicitly throws an error if no API key is provided: "need OpenAI key to retrieve model choices"
  • The validation logic ensures API key is present either through user input or environment variable before proceeding
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check for proper error handling when API keys are missing
# Look for error handling related to missing API keys in CI context

# Search for OPENAI_API_KEY environment variable usage
rg "OPENAI_API_KEY" -B 2 -A 2

# Search for error handling patterns around API key validation
ast-grep --pattern 'if (!$apiKey) {
  $$$
}'

Length of output: 7738


Script:

#!/bin/bash
# Check error handling in OpenAI provider
rg -A 10 "if \(!config\.apiKey" helpers/providers/openai.ts

# Check getAvailableModelChoices implementation
rg -A 15 "getAvailableModelChoices" helpers/providers/openai.ts

# Look for any throw statements related to API keys
rg "throw.*api.*key" -i

Length of output: 1700

questions/questions.ts (3)

3-3: LGTM!

The import statement is correctly placed and follows TypeScript conventions.


Line range hint 390-402: LGTM! Good handling of CI environment.

The condition correctly prevents prompting for API key in CI environment while maintaining the interactive prompt for development.


Line range hint 390-402: Verify API key availability in CI environment.

In CI environment, if both program.llamaCloudKey and process.env.LLAMA_CLOUD_API_KEY are not set, the code continues without a key which could cause issues downstream. Consider adding validation to ensure API key is available when required in CI.

Add validation before the prompt:

 if (isUsingLlamaCloud || program.useLlamaParse) {
+  // Ensure API key is available in CI
+  if (isCI && !program.llamaCloudKey && !process.env.LLAMA_CLOUD_API_KEY) {
+    throw new Error(
+      'LlamaCloud API key is required in CI environment. Please set LLAMA_CLOUD_API_KEY environment variable.'
+    );
+  }
   if (!program.llamaCloudKey && !isCI) {
     // if already set, don't ask again
     // Ask for LlamaCloud API key

@marcusschiesser marcusschiesser merged commit 7f14e47 into main Nov 18, 2024
46 checks passed
@marcusschiesser marcusschiesser deleted the lee/improve-ci branch November 18, 2024 09:41
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants