Merge branch 'production' into movistar-skin-completed

.github/scripts/label_discussion.py

@@ -0,0 +1,76 @@
+import os
+import json
+import requests
+
+# GitHub repository and token
+REPO = 'Telefonica/mistica-design'
+TOKEN = os.getenv('NOVUM_PRIVATE_REPOS')
+API_URL = f"https://api.github.com/repos/{REPO}"
+
+# Verifica si el token está presente
+if not TOKEN:
+    raise ValueError("NOVUM_PRIVATE_REPOS no está configurado")
+
+# Depuración: Imprime los primeros caracteres del token
+print(f"TOKEN: {TOKEN[:4]}...")
+
+# Get event data from environment variable
+event_path = os.getenv('GITHUB_EVENT_PATH')
+with open(event_path) as f:
+    event_data = json.load(f)
+
+# Determine if the event is a discussion or a discussion comment
+if 'discussion' in event_data:
+    discussion_id = event_data['discussion']['node_id']
+    discussion_title = event_data['discussion']['title']
+    discussion_body = event_data['discussion']['body']
+elif 'comment' in event_data:
+    discussion_id = event_data['comment']['discussion_id']
+    discussion_title = ""  # Comments do not have a title
+    discussion_body = event_data['comment']['body']
+else:
+    raise ValueError("Evento no reconocido")
+
+# Function to get existing labels
+def get_existing_labels():
+    headers = {
+        'Authorization': f'token {TOKEN}',
+        'Accept': 'application/vnd.github.v3+json',
+    }
+    response = requests.get(f'{API_URL}/labels', headers=headers)
+    response.raise_for_status()
+    return [label['name'] for label in response.json()]
+
+# Function to apply label
+def apply_label(label):
+    headers = {
+        'Authorization': f'token {TOKEN}',
+        'Accept': 'application/vnd.github.v3+json',
+    }
+    data = {
+        'labels': [label]
+    }
+    response = requests.post(f'{API_URL}/discussions/{discussion_id}/labels', headers=headers, json=data)
+    response.raise_for_status()
+
+# Function to determine appropriate label
+def determine_label(title, body, labels):
+    # Simple keyword matching for demonstration; improve with NLP techniques as needed
+    keywords_to_labels = {
+        'bug': 'bug',
+        'feature': 'enhancement',
+        'question': 'question'
+    }
+
+    for keyword, label in keywords_to_labels.items():
+        if keyword in title.lower() or keyword in body.lower():
+            if label in labels:
+                return label
+    return None
+
+# Main script logic
+existing_labels = get_existing_labels()
+label_to_apply = determine_label(discussion_title, discussion_body, existing_labels)
+
+if label_to_apply:
+    apply_label(label_to_apply)

.github/workflows/label-discussion.yml

@@ -0,0 +1,31 @@
+name: Label Discussions
+
+on:
+  discussion:
+    types: [created, edited]
+  discussion_comment:
+    types: [created, edited]
+
+jobs:
+  label_discussion:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v2
+
+      - name: Set up Python
+        uses: actions/setup-python@v2
+        with:
+          python-version: "3.x"
+
+      - name: Install dependencies
+        run: pip install requests
+
+      - name: Debug environment variables
+        run: env
+
+      - name: Run labeling script
+        env:
+          NOVUM_PRIVATE_REPOS: ${{ secrets.NOVUM_PRIVATE_REPOS }}
+        run: python .github/scripts/label_discussion.py

CHANGELOG.md

@@ -1,5 +1,7 @@
 # Figma Changelog
 
+[13.3.0](changelog-versions/13.3.0.md)
+
 [13.2.0](changelog-versions/13.2.0.md)
 
 [13.1.0](changelog-versions/13.1.0.md)