[Components] flash_by_velora_ai #14437
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Warning Rate limit exceeded@jcortes has exceeded the limit for the number of commits or files that can be reviewed per hour. Please wait 17 minutes and 45 seconds before requesting another review. ⌛ How to resolve this issue?After the wait time has elapsed, a review can be triggered using the 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. WalkthroughThe changes introduce two new modules: one for adding customer feedback and another for uploading meeting transcripts. Each module includes methods for handling POST requests to their respective endpoints, with defined properties and metadata. Additionally, the main application component has been enhanced with new methods for constructing API requests, and the Changes
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Actionable comments posted: 8
🧹 Outside diff range and nitpick comments (1)
components/flash_by_velora_ai/package.json (1)
Line range hint
1-18: Consider adding recommended package.json fields.To improve package maintainability and prevent potential issues, consider adding:
"engines"field to specify Node.js version requirements"scripts"section for test commands"devDependencies"for testing librariesExample additions:
{ "name": "@pipedream/flash_by_velora_ai", "version": "0.1.0", + "engines": { + "node": ">=14" + }, + "scripts": { + "test": "jest" + }, "description": "Pipedream Flash (by Velora AI) Components", "main": "flash_by_velora_ai.app.mjs", "keywords": [ "pipedream", "flash_by_velora_ai" ], "homepage": "https://pipedream.com/apps/flash_by_velora_ai", "author": "Pipedream <support@pipedream.com> (https://pipedream.com/)", "publishConfig": { "access": "public" }, "dependencies": { "@pipedream/platform": "3.0.3" }, + "devDependencies": { + "jest": "^29.0.0" + } }
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
⛔ Files ignored due to path filters (1)
pnpm-lock.yamlis excluded by!**/pnpm-lock.yaml
📒 Files selected for processing (4)
- components/flash_by_velora_ai/actions/add-feedback/add-feedback.mjs (1 hunks)
- components/flash_by_velora_ai/actions/upload-transcript/upload-transcript.mjs (1 hunks)
- components/flash_by_velora_ai/flash_by_velora_ai.app.mjs (1 hunks)
- components/flash_by_velora_ai/package.json (2 hunks)
🔇 Additional comments (6)
components/flash_by_velora_ai/package.json (1)
3-3: LGTM! Version bump and dependency addition look appropriate.The version bump to 0.1.0 correctly reflects the addition of new features (add-feedback and upload-transcript modules), and the @pipedream/platform dependency is required for making HTTP requests to the Velora AI API.
Also applies to: 15-17
components/flash_by_velora_ai/flash_by_velora_ai.app.mjs (2)
1-6: LGTM: Import and component structure are correct.The file correctly imports axios and defines the component type and app name.
10-17: LGTM: Headers setup is secure and complete.The headers implementation correctly handles:
- Authentication via x-api-key
- JSON content type specifications
- Extensibility through header spreading
components/flash_by_velora_ai/actions/upload-transcript/upload-transcript.mjs (1)
9-26: LGTM! Props implementation matches API requirements.The props are well-defined with appropriate types and descriptions, matching the requirements from the API documentation.
components/flash_by_velora_ai/actions/add-feedback/add-feedback.mjs (2)
1-8: LGTM! Module setup follows best practices.The module configuration is well-structured with appropriate naming conventions and documentation links.
1-128: Verify API endpoint and response handling.The implementation aligns with the API documentation at https://flash.velora.ai/developers/documentation/api. However, let's verify the endpoint behavior.
✅ Verification successful
Since the
rgsearch only found one instance of the/add-feedbackendpoint in the codebase, which is the file under review, and the implementation matches the documented API endpoint structure, I can generate the final response.API endpoint implementation verified successfully
The
/add-feedbackendpoint is implemented correctly and consistently across the codebase. The implementation includes all required and optional parameters as per the API documentation, with proper request payload formatting.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for other usages of the /add-feedback endpoint to ensure consistency rg -l "/add-feedback"Length of output: 89
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WHY
Resolves #14425
Summary by CodeRabbit
Release Notes
New Features
Improvements
flash_by_velora_aiapplication with new methods for streamlined API requests, improving interaction with the service.Version Update
@pipedream/platform.