Refactor Analysis#190
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- make the table width and columns width fixed - add expand/collapse functionality for comments in results table
- highlight using xlsx over csv
- use table styling in print similar to mobile styling - show all comments when printing - make the default browser printing and the print button's behaviours consistent
Signed-off-by: Mohamad Berjawi <mohamad.fberjawi@gmail.com>
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This pull request introduces a significant refactor of the analysis workflow, moving from immediate analysis and result passing to a job-based system. Now, when a user submits text or a file for analysis, an analysis job is created and tracked by its ID. Subsequent result retrieval and downloads are performed using this job ID, for a scalable, paginated, and an async processing, along with a better UX for the user since the results page shows up immediately and shows the analysis processing as it progresses. The frontend and backend have been updated to support this new approach, with several new API endpoints and changes to data flow.
Backend: Job-based analysis and new endpoints
AnalysisQueuesystem to manage analysis jobs, including creation, status tracking using Redis, result pagination, and background processing. New endpoints have been added for job creation, overview, results retrieval, and batch analysis (server/api/analyze/[id]/analyze.post.ts,server/api/analyze/[id]/overview.get.ts,server/api/analyze/[id]/results.get.ts).comment.post.ts,file.post.ts) to create jobs instead of returning immediate results, and updated response formats to return job metadata (analysis ID, total comments) rather than analysis data.Frontend: Data flow and download modal updates
jobIdfor result retrieval and downloads, replacing direct use of analysis data. TheDownloadModal.vueandForm.vuecomponents now handle job IDs and route users to results pages with job IDs in query parameters.Download/export endpoints: Job-based result fetching
job_idfrom the analysis queue, and updated export metadata to include job information and progress. Improved error handling and data formatting for these endpoints.Other improvements
Note: some of this PR description was generated by GitHub Copilot which I've proofread or edited.