Average days to close

app.py

@@ -37,7 +37,7 @@ st.title(f"GitHub Issues Dashboard for {repo.name}")
 status = st.status(label="Loading data...", state="running")
 
 try:
-    df = pd.read_json("issues.json")
+    df = pd.read_json("issues.json", convert_dates=["Created at", "Closed at", "Last update"], date_unit="ms")
 except:
     df = fetch_data()
     save_data(df)
@@ -50,10 +50,7 @@ col1, col2, col3 = st.columns(3)
 state_counts = df['State'].value_counts()
 open_issues = df.loc[df['State'] == 'open']
 closed_issues = df.loc[df['State'] == 'closed']
-# closed_issues['Created at'] = pd.to_datetime(df['Created at'])
-# # closed_issues['Closed at'] = pd.to_datetime(df['Closed at'])
-# closed_issues['Time to Close'] = closed_issues['Closed at'] - closed_issues['Created at']
-# closed_issues['Time to Close'] = closed_issues['Time to Close'].apply(lambda x: x if pd.isnull(x) else x.days)
+closed_issues['Time to Close'] = closed_issues['Closed at'] - closed_issues['Created at']
 
 with col1:
     st.metric(label="Open Issues", value=state_counts['open'])
@@ -61,9 +58,9 @@ with col1:
 with col2:
     st.metric(label="Closed Issues", value=state_counts['closed'])
 
-# with col3:
-#     average_time_to_close = closed_issues['Time to Close'].mean()
-#     st.metric(label="Avg. Days to Close", value=average_time_to_close)
+with col3:
+    average_time_to_close = closed_issues['Time to Close'].mean().days
+    st.metric(label="Avg. Days to Close", value=average_time_to_close)
 
 
 # TODO Plot: number of open vs closed issues by date
@@ -153,7 +150,7 @@ st.dataframe(
 # st.header("Issue dependencies")
 # ## Map: dependencies between issues. Network of issue mentions.x
 
-# status.update(label="Checking for updated data...", state="running")
+status.update(label="Checking for updated data...", state="running")
 updated_data = fetch_data()
 if df.equals(updated_data):
     status.update(label="Data is up to date!", state="complete")