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name: 'Sentiment Analysis' | |
on: | |
issue_comment: | |
types: | |
- created | |
- edited | |
issues: | |
types: | |
- opened | |
- edited | |
pull_request: | |
types: | |
- opened | |
- edited | |
pull_request_review: | |
types: | |
- submitted | |
- edited | |
pull_request_review_comment: | |
types: | |
- created | |
- edited | |
jobs: | |
test: | |
name: Checking sentiments | |
runs-on: ubuntu-latest | |
steps: | |
- uses: actions/checkout@v2 | |
- name: Check sentiment | |
uses: derberg/code-of-conduct-sentiment-analysis-github-action@v1 | |
id: sentiments | |
with: | |
gcp_key: ${{ secrets.GCP_KEY_SENTIMENT }} | |
- uses: someimportantcompany/github-actions-slack-message@v1 | |
# this step runs only if sentiment is a negative number | |
if: steps.sentiments.outputs.sentiment < -0.2 | |
with: | |
webhook-url: ${{ secrets.SLACK_SENTIMENTS }} | |
text: Here ${{steps.sentiments.outputs.source}} you can find a potential negative text that requires your attention as the sentiment analysis score is ${{steps.sentiments.outputs.sentiment}} | |
color: orange |
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