Links to label searches

app.py

@@ -37,9 +37,13 @@ st.title(f"GitHub Issues Dashboard for {repo.name}")
 
 fetching_data = st.empty()
 
-df = pd.read_json("issues.json")
+try:
+    df = pd.read_json("issues.json")
+except:
+    df = fetch_data()
+    save_data(df)
 
-status = st.status("Loading data...", status="running")
+status = st.status(label="Loading data...", state="running")
 
 # Section 1: Issue activity metrics
 st.header("Issue activity metrics")
@@ -67,24 +71,41 @@ st.header("Issue classification")
 ## Dataframe: Number of open issues by label.
 st.subheader("Top ten labels by number of open issues:")
 open_issues_exploded = open_issues.explode("Labels")
-label_counts = open_issues_exploded.value_counts("Labels")
-st.dataframe(label_counts.head(10))
+label_counts = open_issues_exploded.value_counts("Labels").to_frame()
+
+def generate_labels_link(labels):
+    links = []
+    for label in labels:
+        label = label.replace(" ", "+")
+        links.append(f"https://github.com/argilla-io/argilla/issues?q=is:open+is:issue+label:%22{label}%22")
+    return links
+
+label_counts['Link'] = generate_labels_link(label_counts.index)
+
+st.dataframe(
+    label_counts.head(10),
+    column_config={
+        "count": st.column_config.NumberColumn("Count"),
+        "Link": st.column_config.LinkColumn("Link", display_text="🔗")
+    }
+)
 
 # ## Dataframe: Number of open bugs by severity level. Critical, major, minor
+
 # ## Cloud of words: Issue titles and description
 
 # # Community engagement
 st.header("Community engagement")
 # ## Dataframe: Latest issues open by the community
 # ## Dataframe: issues sorted by number of comments
-engagement_df = df[["Number","Title","Reactions","Comments","URL"]].sort_values(by=["Reactions", "Comments"], ascending=False).head(10)
+engagement_df = open_issues[["Number","Title","Reactions","Comments","URL"]].sort_values(by=["Reactions", "Comments"], ascending=False).head(10)
 st.dataframe(
     engagement_df,
     hide_index=True,
     use_container_width=True,
     column_config={
         "Number": st.column_config.NumberColumn("No."),
-        "Title": st.column_config.TextColumn("Title"),
+        "Title": st.column_config.TextColumn("Title", width=400),
         "Reactions": st.column_config.NumberColumn("Reactions", format="%d 👍"),
         "Comments": st.column_config.NumberColumn("Comments", format="%d 💬"),
         "URL": st.column_config.LinkColumn("🔗", display_text="🔗")
@@ -92,17 +113,16 @@ st.dataframe(
 )
 
 # ## Cloud of words: Comments??
-# ## Dataframe: issues sorted by number of reactions.
 # ## Dataframe: Contributor leaderboard.
 
 # # Issue dependencies
 # st.header("Issue dependencies")
 # ## Map: dependencies between issues. Network of issue mentions.x
 
-status.update(label="Checking for updated data...", status="running")
+status.update(label="Checking for updated data...", state="running")
 updated_data = fetch_data()
-if not df.equals(updated_data):
-    save_data(updated_data)
-    status.update(label="Refresh for updated data!", status="complete")
+if df.equals(updated_data):
+    status.update(label="Data is up to date!", state="complete")
 else:
-    status.update(label="Data is up to date!", status="complete")
+    save_data(updated_data)
+    status.update(label="Refresh for updated data!", state="complete")