fine-tune tables

app.py

@@ -9,6 +9,7 @@ import datetime
 g = Github(st.secrets["ACCESS_TOKEN"])
 repo = g.get_repo(st.secrets["REPO_NAME"])
 
+@st.cache_data
 def fetch_data():
 
     issues_data = []
@@ -34,18 +35,22 @@ def fetch_data():
 def save_data(df):
     df.to_json("issues.json", orient="records", indent=4, index=False)
 
+@st.cache_data
+def load_data():
+    try:
+        df = pd.read_json("issues.json", convert_dates=["Created at", "Closed at", "Last update"], date_unit="ms")
+    except:
+        df = fetch_data()
+        save_data(df)
+    return df
+
 
 st.title(f"GitHub Issues Dashboard for {repo.name}")
 status = st.status(label="Loading data...", state="running")
 
-try:
-    df = pd.read_json("issues.json", convert_dates=["Created at", "Closed at", "Last update"], date_unit="ms")
-except:
-    df = fetch_data()
-    save_data(df)
+df = load_data()
 
 today = datetime.date.today()
-one_month_ago = today - datetime.timedelta(days=30)
 
 # Section 1: Issue activity metrics
 st.header("Issue activity metrics")
@@ -88,7 +93,7 @@ with col3:
 st.subheader("Latest updates 📝")
 col1, col2 = st.columns(2)
 with col1:
-    last_update_date = st.date_input("Last updated after:", value=one_month_ago, format="DD-MM-YYYY")
+    last_update_date = st.date_input("Last updated after:", value=today - datetime.timedelta(days=7), format="DD-MM-YYYY")
     last_update_date = datetime.datetime.combine(last_update_date, datetime.datetime.min.time())  # Convert to datetime object
 with col2:
     updated_issues = open_issues[open_issues["Last update"] > last_update_date]
@@ -97,18 +102,19 @@ with col2:
 st.dataframe(
     updated_issues[["Issue","Labels", "Last update","URL"]].sort_values(by="Last update", ascending=False),
     hide_index=True,
-    use_container_width=True,
+    # use_container_width=True,
     column_config={
-        "Issue": st.column_config.TextColumn("Issue", width=400),
-        "Last update": st.column_config.DatetimeColumn("Last update"),
-        "URL": st.column_config.LinkColumn("🔗", display_text="🔗")
+        "Issue": st.column_config.TextColumn("Issue", width="large"),
+        "Labels": st.column_config.ListColumn("Labels", width="large"),
+        "Last update": st.column_config.DatetimeColumn("Last update", width="medium"),
+        "URL": st.column_config.LinkColumn("🔗", display_text="🔗", width="small")
     }
 )
 
 st.subheader("Stale issues? 🕸️")
 col1, col2 = st.columns(2)
 with col1:
-    not_updated_since = st.date_input("Not updated since:", value=one_month_ago, format="DD-MM-YYYY")
+    not_updated_since = st.date_input("Not updated since:", value=today - datetime.timedelta(days=90), format="DD-MM-YYYY")
     not_updated_since = datetime.datetime.combine(not_updated_since, datetime.datetime.min.time())  # Convert to datetime object
 with col2:
     stale_issues = open_issues[open_issues["Last update"] < not_updated_since]
@@ -116,11 +122,12 @@ with col2:
 st.dataframe(
     stale_issues[["Issue","Labels", "Last update","URL"]].sort_values(by="Last update", ascending=True),
     hide_index=True,
-    use_container_width=True,
+    # use_container_width=True,
     column_config={
-        "Issue": st.column_config.TextColumn("Issue", width=400),
-        "Last update": st.column_config.DatetimeColumn("Last update"),
-        "URL": st.column_config.LinkColumn("🔗", display_text="🔗")
+        "Issue": st.column_config.TextColumn("Issue", width="large"),
+        "Labels": st.column_config.ListColumn("Labels", width="large"),
+        "Last update": st.column_config.DatetimeColumn("Last update", width="medium"),
+        "URL": st.column_config.LinkColumn("🔗", display_text="🔗", width="small")
     }
 )
 
@@ -157,11 +164,11 @@ with col2:
     st.subheader("Cloud of words ☁️")
     titles = " ".join(open_issues["Issue"])
     titles = re.sub(r'\[.*?\]', '', titles)
-    wordcloud = WordCloud(width=800, height=400, background_color="white").generate(titles)
+    wordcloud = WordCloud(width=800, height=400, background_color="black").generate(titles)
     plt.figure(figsize=(10, 5))
     plt.imshow(wordcloud, interpolation="bilinear")
     plt.axis("off")
-    st.pyplot(plt)
+    st.pyplot(plt, use_container_width=True)
 
 # # Community engagement
 st.header("Community engagement")
@@ -172,12 +179,12 @@ engagement_df = open_issues[["Issue","Reactions","Comments","URL"]].sort_values(
 st.dataframe(
     engagement_df,
     hide_index=True,
-    use_container_width=True,
+    # use_container_width=True,
     column_config={
-        "Issue": st.column_config.TextColumn("Issue", 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="🔗")
+        "Issue": st.column_config.TextColumn("Issue", width="large"),
+        "Reactions": st.column_config.NumberColumn("Reactions", format="%d 👍", width="small"),
+        "Comments": st.column_config.NumberColumn("Comments", format="%d 💬", width="small"),
+        "URL": st.column_config.LinkColumn("🔗", display_text="🔗", width="small")
     }
 )