ci: Cleanup GitHub Actions workflows (#91)

.github/workflows/automerge-release-pr-bump.yml → .github/workflows/automerge.yml

@@ -26,7 +26,7 @@ jobs:
     steps:
       - name: Autoapproving
         uses: hmarr/[email protected]
-        if: github.actor == 'asyncapi-bot'
+        if: github.actor == 'asyncapi-bot' || github.actor == 'dependabot[bot]' || github.actor == 'dependabot-preview[bot]'
         with:
           github-token: "${{ secrets.GITHUB_TOKEN }}"
 
@@ -36,7 +36,7 @@ jobs:
     steps:
       - name: Automerging
         uses: pascalgn/[email protected]
-        if: github.actor == 'asyncapi-bot'
+        if: github.actor == 'asyncapi-bot' || github.actor == 'dependabot[bot]' || github.actor == 'dependabot-preview[bot]'
         env:
           GITHUB_TOKEN: "${{ secrets.GH_TOKEN }}"
           GITHUB_LOGIN: asyncapi-bot

.github/workflows/sentiment-analysis.yml

@@ -0,0 +1,41 @@
+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

.github/workflows/welcome-first-time-contrib.yml

@@ -1,7 +1,7 @@
 name: Welcome first time contributors
 
 on:
-  pull_request:
+  pull_request_target:
     types: 
       - opened
   issues: