Allow multiple repos

app.py

@@ -7,29 +7,32 @@ import re
 import datetime
 
 g = Github(st.secrets["ACCESS_TOKEN"])
-repo = g.get_repo(st.secrets["REPO_NAME"])
+repos = st.secrets["REPO_NAME"].split(",")
+repos = [g.get_repo(repo) for repo in repos]
 
 @st.cache_data
 def fetch_data():
 
     issues_data = []
     
-    issues = repo.get_issues(state="all")
-    
-    for issue in issues:
-        issues_data.append(
-            {
-                'Issue': f"{issue.number} - {issue.title}", 
-                'State': issue.state, 
-                'Created at': issue.created_at, 
-                'Closed at': issue.closed_at,
-                'Last update': issue.updated_at,
-                'Labels': [label.name for label in issue.labels],
-                'Reactions': issue.reactions['total_count'],
-                'Comments': issue.comments,
-                'URL': issue.html_url
-            }
-        )
+    for repo in repos:
+        issues = repo.get_issues(state="all")
+        
+        for issue in issues:
+            issues_data.append(
+                {
+                    'Issue': f"{issue.number} - {issue.title}", 
+                    'State': issue.state, 
+                    'Created at': issue.created_at, 
+                    'Closed at': issue.closed_at,
+                    'Last update': issue.updated_at,
+                    'Labels': [label.name for label in issue.labels],
+                    'Reactions': issue.reactions['total_count'],
+                    'Comments': issue.comments,
+                    'URL': issue.html_url,
+                    'Repository': repo.name,
+                }
+            )
     return pd.DataFrame(issues_data)
 
 def save_data(df):
@@ -45,7 +48,7 @@ def load_data():
     return df
 
 
-st.title(f"GitHub Issues Dashboard for {repo.name}")
+st.title(f"GitHub Issues Dashboard")
 status = st.status(label="Loading data...", state="running")
 
 df = load_data()
@@ -100,7 +103,7 @@ with col2:
     st.metric("Results:", updated_issues.shape[0])
 
 st.dataframe(
-    updated_issues[["Issue","Labels", "Last update","URL"]].sort_values(by="Last update", ascending=False),
+    updated_issues[["Issue","Labels", "Repository", "Last update","URL"]].sort_values(by="Last update", ascending=False),
     hide_index=True,
     # use_container_width=True,
     column_config={
@@ -120,7 +123,7 @@ with col2:
     stale_issues = open_issues[open_issues["Last update"] < not_updated_since]
     st.metric("Results:", stale_issues.shape[0])
 st.dataframe(
-    stale_issues[["Issue","Labels", "Last update","URL"]].sort_values(by="Last update", ascending=True),
+    stale_issues[["Issue","Labels", "Repository", "Last update","URL"]].sort_values(by="Last update", ascending=True),
     hide_index=True,
     # use_container_width=True,
     column_config={
@@ -138,20 +141,20 @@ col1, col2 = st.columns(2)
 ## Dataframe: Number of open issues by label.
 with col1:
     st.subheader("Top ten labels 🔖")
-    open_issues_exploded = open_issues.explode("Labels")
-    label_counts = open_issues_exploded.value_counts("Labels").to_frame()
+    label_counts = open_issues.groupby("Repository").apply(lambda x: x.explode("Labels").value_counts("Labels").to_frame().reset_index()).reset_index()
 
-    def generate_labels_link(labels):
+    def generate_labels_link(labels,repos):
         links = []
-        for label in labels:
+        for label,repo in zip(labels,repos):
             label = label.replace(" ", "+")
-            links.append(f"https://github.com/argilla-io/argilla/issues?q=is:open+is:issue+label:%22{label}%22")
+            links.append(f"https://github.com/argilla-io/{repo}/issues?q=is:open+is:issue+label:%22{label}%22")
         return links
 
-    label_counts['Link'] = generate_labels_link(label_counts.index)
+    label_counts['Link'] = generate_labels_link(label_counts['Labels'],label_counts['Repository'])
 
     st.dataframe(
-        label_counts.head(10),
+        label_counts[["Labels","Repository", "count","Link"]].head(10),
+        hide_index=True,
         column_config={
             "Labels": st.column_config.TextColumn("Labels"),
             "count": st.column_config.NumberColumn("Count"),
@@ -175,7 +178,7 @@ st.header("Community engagement")
 # ## Dataframe: Latest issues open by the community
 # ## Dataframe: issues sorted by number of comments
 st.subheader("Top engaging issues 💬")
-engagement_df = open_issues[["Issue","Reactions","Comments","URL"]].sort_values(by=["Reactions", "Comments"], ascending=False).head(10)
+engagement_df = open_issues[["Issue","Repository","Reactions","Comments","URL"]].sort_values(by=["Reactions", "Comments"], ascending=False).head(10)
 st.dataframe(
     engagement_df,
     hide_index=True,