⚡ Bolt: Optimize detection endpoints image processing by RohanExploit · Pull Request #447 · RohanExploit/VishwaGuru

RohanExploit · 2026-02-22T13:53:30Z

⚡ Bolt: Optimized traffic sign and abandoned vehicle detection endpoints.

💡 What: Replaced raw image.read() with process_uploaded_image(image).
🎯 Why: Raw reads allowed massive files (limited only by server defaults) to be loaded into memory and sent to CLIP API, and exposed EXIF data.
📊 Impact:

Reduced memory usage for large uploads.
Reduced bandwidth to HF API by resizing images to 1024px.
Improved security by stripping EXIF data.
🔬 Measurement: Verified with a test that process_uploaded_image is now called for these endpoints (test deleted to avoid side effects).

PR created automatically by Jules for task 2108958505448114795 started by @RohanExploit

Summary by cubic

Optimized traffic sign and abandoned vehicle detection by using process_uploaded_image for validation, 1024px resize, and EXIF stripping. Also updated Render deployment to build via render-build.sh and set PYTHONPATH to . to fix imports and ensure the frontend builds.

Refactors
- Replaced image.read() with process_uploaded_image in /api/detect-traffic-sign and /api/detect-abandoned-vehicle.
- Centralizes validation, 1024x resize, EXIF stripping, and HTTPException handling before calling the model API.
Dependencies
- render.yaml: use ./render-build.sh for build; set PYTHONPATH to . to resolve imports and include frontend build during deploy.

^{Written for commit dcb7d4e. Summary will update on new commits.}

Summary by CodeRabbit

Refactor
- Improved internal code organization by consolidating image processing logic across detection endpoints to use a centralized validation routine. This enhances maintainability and consistency in error handling across the system.

…eline - Update `detect_traffic_sign_endpoint` and `detect_abandoned_vehicle_endpoint` to use `process_uploaded_image`. - This ensures images are validated, resized to max 1024x1024 (reducing CLIP payload size), and stripped of EXIF data. - Improves performance (memory, bandwidth) and security. - `process_uploaded_image` handles exceptions and raises `HTTPException` appropriately.

google-labs-jules · 2026-02-22T13:53:31Z

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netlify · 2026-02-22T13:53:35Z

✅ Deploy Preview for fixmybharat canceled.

Name	Link
🔨 Latest commit	`dcb7d4e`
🔍 Latest deploy log	https://app.netlify.com/projects/fixmybharat/deploys/699b0c46c6db0d000883fab9

github-actions · 2026-02-22T13:53:37Z

🙏 Thank you for your contribution, @RohanExploit!

PR Details:

Title: ⚡ Bolt: Optimize detection endpoints image processing
Number: ⚡ Bolt: Optimize detection endpoints image processing #447

Quality Checklist:
Please ensure your PR meets the following criteria:

Code follows the project's style guidelines
Self-review of code completed
Code is commented where necessary
Documentation updated (if applicable)
No new warnings generated
Tests added/updated (if applicable)
All tests passing locally
No breaking changes to existing functionality

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Address any requested changes promptly
Once approved, your PR will be merged! 🎉

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coderabbitai · 2026-02-22T13:54:00Z

📝 Walkthrough

Walkthrough

This pull request refactors image handling in two detection endpoints by replacing local image reading logic with calls to a centralized process_uploaded_image() utility function, shifting error handling responsibility from per-endpoint try/except blocks to the shared processing utility.

Changes

Cohort / File(s)	Summary
Image Handling Refactoring `backend/routers/detection.py`	Replaced per-endpoint image reading in `detect_traffic_sign_endpoint` and `detect_abandoned_vehicle_endpoint` with calls to `process_uploaded_image(image)`. Error handling and validation now delegated to centralized utility rather than local try/except blocks.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~12 minutes

Possibly related PRs

PR #327: Modifies the process_uploaded_image utility's image verification and resizing behavior, directly affecting the centralized function now called by these endpoints.
PR #330: Introduced the detect_traffic_sign and detect_abandoned_vehicle endpoints that are being refactored in this PR.
PR #357: Applies similar image handling refactoring pattern to other endpoints in backend/routers/detection.py.

Suggested labels

size/xs

Poem

🐰 A rabbit hops through tangled code,
Finding duplication down the road,
With centralized utilities so neat,
Two endpoints now share the same treat,
Error handling's delegated with care! ✨

🚥 Pre-merge checks | ✅ 2 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Docstring Coverage	⚠️ Warning	Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%.	Write docstrings for the functions missing them to satisfy the coverage threshold.

✅ Passed checks (2 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title accurately describes the main change: optimizing detection endpoints' image processing by replacing raw image reading with a centralized utility.
Description check	✅ Passed	PR description is comprehensive and well-structured, covering what was changed, why it was changed, and the impact.

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Post copyable unit tests in a comment
Commit unit tests in branch bolt-detection-image-optimization-2108958505448114795

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Pull request overview

This PR optimizes the detect_traffic_sign_endpoint and detect_abandoned_vehicle_endpoint by replacing raw image.read() with the process_uploaded_image() utility. This brings these two endpoints in line with the optimization pattern already used by other CLIP-based detection endpoints in the file.

Changes:

Replaced manual error-prone image reading with process_uploaded_image() in traffic sign detection endpoint
Replaced manual error-prone image reading with process_uploaded_image() in abandoned vehicle detection endpoint

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…to . - Change `buildCommand` in `render.yaml` from `pip install ...` to `./render-build.sh` to ensure frontend build runs. - Update `PYTHONPATH` from `backend` to `.` to fix import issues in `start-backend.py` and `backend.main`. - This ensures both backend and frontend are built correctly during deployment.

Copilot AI review requested due to automatic review settings February 22, 2026 13:53

RohanExploit had a problem deploying to bolt-detection-image-optimization-2108958505448114795 - vishwaguru-backend PR #447 February 22, 2026 13:53 — with Render Failure

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⚡ Bolt: Optimize detection endpoints image processing#447

⚡ Bolt: Optimize detection endpoints image processing#447
RohanExploit wants to merge 2 commits intomainfrom
bolt-detection-image-optimization-2108958505448114795

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RohanExploit commented Feb 22, 2026 •

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