Add AI recommendation feature using GitHub username input #1344
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Avdhesh-Varshney
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Avdhesh-Varshney
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- Refactor
server/src/servicesby taking reference from the other apis development. - No need to create
index2.jsfile. - For recommendation, Don't create route for now. Display everything in a modal.
- Implement the api functions in
/infra/apisdirectory
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Avdhesh-Varshney
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Avdhesh-Varshney
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Try to reuse the same code. And in server, there is no route structure?
Next time please share me the postman api working screenshots. Along with the working prototype video of this task.
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Convert this file into JSON file instead of js.
| import { fetchRepositoryLanguages } from './fetch-repository-languages.js'; | ||
| import { fetchPullRequestMetrics } from './fetch-pull-request-metrics.js'; | ||
| import { fetchIssueMetrics } from './fetch-issue-metrics.js'; | ||
| import { detectCapabilities } from './detect-capabilities.js'; |
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All these files are not required. Try to collab them into a single file.
And move the github logic part in controllers. No need to create a separate dir of services.
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No need to of this file just to export.
| useEffect(() => { | ||
| const fetchRecommendation = async () => { | ||
| try { | ||
| const res = await fetch("http://localhost:5000/api/recommend", { |
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Use the created apis function instead of using fetch.
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Import this in navbar to make it workable.
| process.env.RESEND_API_KEY || 'dev_resend_key_abc123'; | ||
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| // AI Configuration | ||
| export const GEMINI_API_KEY = process.env.GEMINI_API_KEY; No newline at end of file |
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Add some optional OR value.
process.env.GEMINI_API_KEY || 'gemini_api_key'
| ${JSON.stringify(analysisData, null, 2)} | ||
| `; | ||
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| const response = await fetch( |
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Use axios instead of fetch
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What's the usecase of this file?
If not required, remove it.
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mainCloses:
Describe the add-ons or changes you've made 📃
1)I have added a small AI recommendation features that take GitHub username of the user as input and analyze the users Github profile and repositories in every manner including the Time When they generated the issue and created the PR different repositories that they have their languages that it consist of .
2)Then all this data is going to Gemini Which I have connected through Gemini API key which gives the output in which it only states the future projects which can be made by user according to the data that has been fetched from Github.
3) In the front end after right I have added option of get recommendation which also has an iconic AI assistant which if clicked will automatically generate the recommendation.
Screenshots 📷
Note to reviewers (Optional) 📄