Evaluate Performance and Accuracy of AI Models #10

	name: Generate Reports

	on:
	schedule:
	- cron: '0 0 * * *'
	issues:
	types: [opened, deleted, closed, reopened, labeled]

	jobs:
	generate-reports:
	runs-on: ubuntu-latest

	steps:
	- name: Checkout code
	uses: actions/checkout@v2

	- name: Set up Python
	uses: actions/setup-python@v2
	with:
	python-version: '3.10.x'

	- name: Install dependencies
	run: \|
	pip install matplotlib pandas requests PyGithub

	- name: Check environment variables
	env:
	ACCESS_TOKEN: ${{ secrets.ACCESS_TOKEN }}
	USER: ${{ secrets.USER }}
	PROJECT: ${{ secrets.PROJECT }}
	run: \|
	echo "User: $USER"
	echo "Project: $PROJECT"
	echo "Token length: ${#ACCESS_TOKEN}" # This will print the length of the token to ensure it's set, without exposing it.

	- name: Run report generation script
	env:
	TOKEN: ${{ secrets.ACCESS_TOKEN }}
	USER: ${{ secrets.USER }}
	PROJECT: ${{ secrets.PROJECT }}
	run: python ishikawa_tools/ishikawa_tools_script.py

	- uses: actions/upload-artifact@v4
	with:
	name: ishikawa-screenshots
	path: ./ishikawa_tools/output
	retention-days: 1

Provide feedback