Spaces:
Sleeping
Sleeping
nataliaElv
commited on
Commit
β’
842bf87
1
Parent(s):
086fa02
Links first
Browse files
app.py
CHANGED
@@ -102,7 +102,7 @@ with col2:
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st.metric("Results:", updated_issues.shape[0])
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st.dataframe(
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-
updated_issues[["Issue","Labels", "Repository", "Last update"
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hide_index=True,
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# use_container_width=True,
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column_config={
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@@ -122,7 +122,7 @@ with col2:
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stale_issues = open_issues[pd.to_datetime(open_issues["Last update"]).dt.tz_localize(None) < pd.to_datetime(not_updated_since)]
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st.metric("Results:", stale_issues.shape[0])
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st.dataframe(
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-
stale_issues[["Issue","Labels", "Repository", "Last update"
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hide_index=True,
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# use_container_width=True,
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column_config={
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@@ -152,12 +152,12 @@ with col1:
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label_counts['Link'] = generate_labels_link(label_counts['Labels'],label_counts['Repository'])
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st.dataframe(
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label_counts[["Labels","Repository", "count",
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hide_index=True,
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column_config={
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"Labels": st.column_config.TextColumn("Labels"),
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"count": st.column_config.NumberColumn("Count"),
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"Link": st.column_config.LinkColumn("
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}
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)
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@@ -177,7 +177,7 @@ st.header("Community engagement")
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# ## Dataframe: Latest issues open by the community
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# ## Dataframe: issues sorted by number of comments
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st.subheader("Top engaging issues π¬")
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engagement_df = open_issues[["Issue","Repository","
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st.dataframe(
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engagement_df,
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hide_index=True,
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st.metric("Results:", updated_issues.shape[0])
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st.dataframe(
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updated_issues[["URL","Issue","Labels", "Repository", "Last update"]].sort_values(by="Last update", ascending=False),
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hide_index=True,
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# use_container_width=True,
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column_config={
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stale_issues = open_issues[pd.to_datetime(open_issues["Last update"]).dt.tz_localize(None) < pd.to_datetime(not_updated_since)]
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st.metric("Results:", stale_issues.shape[0])
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st.dataframe(
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stale_issues[["URL","Issue","Labels", "Repository", "Last update"]].sort_values(by="Last update", ascending=True),
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hide_index=True,
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# use_container_width=True,
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column_config={
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label_counts['Link'] = generate_labels_link(label_counts['Labels'],label_counts['Repository'])
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st.dataframe(
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label_counts[["Link","Labels","Repository", "count",]].head(10),
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hide_index=True,
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column_config={
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"Labels": st.column_config.TextColumn("Labels"),
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"count": st.column_config.NumberColumn("Count"),
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"Link": st.column_config.LinkColumn("π", display_text="π")
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}
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)
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# ## Dataframe: Latest issues open by the community
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# ## Dataframe: issues sorted by number of comments
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st.subheader("Top engaging issues π¬")
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engagement_df = open_issues[["URL","Issue","Repository","Created at", "Reactions","Comments"]].sort_values(by=["Reactions", "Comments"], ascending=False).head(10)
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st.dataframe(
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engagement_df,
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hide_index=True,
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