performance profiler with visualization #16

	name: Test Performance

	on:
	push:
	branches: [ main ]
	pull_request:
	branches: [ main ]

	jobs:
	run-performance:
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v4
	- uses: actions/setup-python@v5
	with:
	python-version: '3.9'
	- name: Install requirements
	run: \|
	pip install -r requirements/dev.rqr
	pip install -e ".[dev]"
	pip install sklearn

	- name: Create profile/logs dir
	run: mkdir -p profile/logs

	- name: Save card_profiler python script
	uses: actions/upload-artifact@v3
	with:
	name: card_profiler
	path: profile/card_profiler.py

	- name: Run performance on PR branch
	run: \|
	python profile/card_profiler.py
	cp profile/logs/cards_benchmark.json profile/logs/main_cards_benchmark.json


	- name: Checkout main branch
	uses: actions/checkout@v4
	with:
	ref: main

	- name: Download card_profiler python script
	uses: actions/download-artifact@v3
	with:
	name: card_profiler
	path: profile/card_profiler.py


	- name: Save main performance result
	uses: actions/upload-artifact@v3
	with:
	name: main_score
	path: profile/logs/main_cards_benchmark.json

	- name: Checkout PR branch
	uses: actions/checkout@v4
	with:
	ref: ${{ github.head_ref }}

	- name: Run performance on PR branch
	run: \|
	python profile/card_profiler.py
	cp profile/logs/cards_benchmark.json profile/logs/pr_cards_benchmark.json

	- name: Download main performance result
	uses: actions/download-artifact@v3
	with:
	name: main_score
	path: profile/logs/main_cards_benchmark.json

	- name: Compare main and PR performance
	run: python profile/compare_performance_results.py

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