Initial import

app/pages/stats.py

@@ -0,0 +1,44 @@
+import logging
+import streamlit as st
+import json
+import sql
+import pandas as pd
+
+from enums import CounterType
+
+logger = logging.getLogger(__name__)
+
+if "counter_id" in st.query_params.keys():
+    counter_id = int(st.query_params["counter_id"])
+    df = sql.get_counter(counter_id)
+
+    st.header('Counter: ' + df['name'])
+
+    color ='#' + df['color']
+    match df['type']:
+        case CounterType.DAILY.value | CounterType.SIMPLE.value:
+            st.bar_chart(sql.get_daily_analytics(int(df['id'])), x="date", y="count", color=color)
+        case CounterType.WEEKLY.value:
+            st.bar_chart(sql.get_weekly_analytics(int(df['id'])), x="week", y="count", color=color)
+        case CounterType.MONTHLY.value:
+            st.bar_chart(sql.get_monthly_analytics(int(df['id'])), x="month", y="count", color=color)
+        case CounterType.YEARLY.value:
+            st.bar_chart(sql.get_yearly_analytics(int(df['id'])), x="year", y="count", color=color)
+
+else:
+
+    st.header("Statistics")
+
+    entries = sql.get_analytics()
+    entries_norm = pd.json_normalize(entries.counters.apply(json.loads)).fillna(0)
+    entries_full = pd.concat([entries, entries_norm], axis=1).drop(['counters'], axis=1)
+
+    selected_counters = [c for c in entries_full.columns if c != "date"]
+    all_counters = sql.get_counters()
+    colors = all_counters.loc[all_counters['name'].isin(selected_counters), ["name", "color"]]
+    colors.name = colors.name.astype("category")
+    colors.name = colors.name.cat.set_categories(selected_counters)
+    colors = colors.sort_values(["name"])
+    colors = colors.color.apply(lambda c: "#" + c).tolist()
+
+    st.bar_chart(entries_full, x="date", x_label="Date", y_label="Count", color=colors)