Anomaly detection with ML #5606

	name: Go tests (windows)

	on:
	push:
	branches:
	- master
	- releases/**
	paths-ignore:
	- 'README.md'
	pull_request:
	branches:
	- master
	- releases/**
	paths-ignore:
	- 'README.md'

	env:
	RICHGO_FORCE_COLOR: 1
	CROWDSEC_FEATURE_DISABLE_HTTP_RETRY_BACKOFF: true

	jobs:
	build:
	name: "Build + tests"
	runs-on: windows-2022

	steps:

	- name: Check out CrowdSec repository
	uses: actions/checkout@v4
	with:
	fetch-depth: 0
	submodules: false

	- name: "Set up Go"
	uses: actions/setup-go@v5
	with:
	go-version: "1.23"

	- name: Build
	run: \|
	make build BUILD_RE2_WASM=1

	- name: Generate codecov configuration
	run: \|
	.github/generate-codecov-yml.sh >> .github/codecov.yml

	- name: Run tests
	run: \|
	go install github.com/kyoh86/[email protected]
	go test -tags expr_debug -coverprofile coverage.out -covermode=atomic ./... > out.txt
	if(!$?) { cat out.txt \| sed 's/ coverage:.of statements in.*//' \| richgo testfilter; Exit 1 }
	cat out.txt \| sed 's/ coverage:.of statements in.*//' \| richgo testfilter

	- name: Upload unit coverage to Codecov
	uses: codecov/codecov-action@v4
	with:
	files: coverage.out
	flags: unit-windows
	token: ${{ secrets.CODECOV_TOKEN }}

	- name: golangci-lint
	uses: golangci/golangci-lint-action@v6
	with:
	version: v1.61
	args: --issues-exit-code=1 --timeout 10m
	only-new-issues: false

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