Support all time resolutions on all counter views

.streamlit/config.toml

@@ -1,7 +1,7 @@
 [server]
 port = 8501
 address = "0.0.0.0"
-enableStaticServing = true
+enableStaticServing = false
 
 [browser]
 gatherUsageStats = false

Dockerfile

@@ -26,7 +26,7 @@ VOLUME /app/data
 
 RUN touch .streamlit/secrets.toml \
     && toml add_section --toml-path='.streamlit/secrets.toml' 'connections.sqlite' \
-    && toml set --toml-path='.streamlit/secrets.toml' 'connections.sqlite.type' 'sql' \
+    && toml set --toml-path='.streamlit/secrets.toml' 'connections.sqlite.type' 'queries' \
     && toml set --toml-path='.streamlit/secrets.toml' 'connections.sqlite.url' 'sqlite:///data/daily-counter.db'
 
 HEALTHCHECK --interval=60s --retries=5 CMD wget -qO- http://127.0.0.1:8501/_stcore/health || exit 1

app/pages/counters.py

@@ -1,11 +1,11 @@
 import streamlit as st
 
-import sql
+from queries import crud, daily_stats, weekly_stats, monthly_stats, yearly_stats
 from enums import CounterType
 
 @st.dialog("Add New Counter", icon=":material/add_box:")
 def _add_counter():
-    colors = sql.get_colors(1)
+    colors = crud.get_colors(1)
     with st.form(key="add_counter", border=False, clear_on_submit=True):
         title = st.text_input("Title:")
         counter_type_name = st.selectbox("Type", options=[e.name for e in CounterType])
@@ -16,7 +16,7 @@ def _add_counter():
                      format_func=lambda c: f"#{c}")
         with st.container(horizontal=True, width="stretch", horizontal_alignment="center"):
             if st.form_submit_button(label="Create", icon=":material/save:"):
-                sql.create_counter(title, CounterType[counter_type_name], color)
+                crud.create_counter(title, CounterType[counter_type_name], color)
                 st.rerun()
 
 
@@ -26,10 +26,10 @@ def _remove_counter(counter_id:int):
         st.subheader("Are you sure?")
         with st.container(horizontal=True, width="stretch", horizontal_alignment="center"):
             if st.form_submit_button("Confirm", icon=":material/delete:"):
-                sql.remove_counter(counter_id)
+                crud.remove_counter(counter_id)
                 st.rerun()
 
-df = sql.get_counters()
+df = crud.get_counters()
 
 with st.container(key="counter-table"):
     for counter_id, name, counter_type_str, color in zip(df['id'], df['name'], df['type'], df['color']):
@@ -38,7 +38,7 @@ with st.container(key="counter-table"):
                 st.header(f":material/calendar_clock: {name}", width="stretch")
 
                 if st.button("", icon=":material/exposure_plus_1:", key=f"increment_counter_{counter_id}"):
-                    sql.increment_counter(counter_id)
+                    crud.increment_counter(counter_id)
                     st.rerun()
 
                 if st.button("", icon=":material/delete_forever:", key=f"remove_counter_{counter_id}"):
@@ -51,22 +51,22 @@ with st.container(key="counter-table"):
                 stats_prev_unit = counter_type.previous_unit_text()
                 match counter_type:
                     case CounterType.DAILY.value | CounterType.SIMPLE.value:
-                        stats = sql.get_daily_analytics(counter_id)
+                        stats = daily_stats.get_daily_analytics(counter_id)
                         stats_current = stats.iloc[0]["count"]
                         stats_prev = stats.iloc[1]["count"]
 
                     case CounterType.WEEKLY.value:
-                        stats = sql.get_weekly_analytics(counter_id)
+                        stats = weekly_stats.get_weekly_analytics(counter_id)
                         stats_current = stats.iloc[0]["count"]
                         stats_prev = stats.iloc[1]["count"]
 
                     case CounterType.MONTHLY.value:
-                        stats = sql.get_monthly_analytics(counter_id)
+                        stats = monthly_stats.get_monthly_analytics(counter_id)
                         stats_current = stats.iloc[-1]["count"]
                         stats_prev = stats.iloc[-2]["count"]
 
                     case CounterType.YEARLY.value:
-                        stats = sql.get_yearly_analytics(counter_id)
+                        stats = yearly_stats.get_yearly_analytics(counter_id)
                         stats_current = stats.iloc[-1]["count"]
                         stats_prev = stats.iloc[-2]["count"]
 

app/pages/stats.py

@@ -1,44 +1,89 @@
+import enum
 import logging
 import streamlit as st
 import json
-import sql
 import pandas as pd
 
 from enums import CounterType
+from enum import StrEnum
+from queries import crud, daily_stats, weekly_stats, monthly_stats, yearly_stats
 
 logger = logging.getLogger(__name__)
 
+counter_type_names = ([e.name for e in CounterType])
+options = counter_type_names
+options.remove(CounterType.SIMPLE.name)
+
 if "counter_id" in st.query_params.keys():
+
+    '''
+      Show specific Counter analytics where the counter id is passed as query parameter "counter_id".
+    '''
+
     counter_id = int(st.query_params["counter_id"])
-    df = sql.get_counter(counter_id)
+    df = crud.get_counter(counter_id)
 
+    counter_type_id = df['type'] - 1
+    counter_type = [e for e in CounterType][counter_type_id]
+    counter_color ='#' + df['color']
+
+    with st.container(horizontal_alignment="right", vertical_alignment="bottom", horizontal=True):
         st.header('Counter: ' + df['name'])
+        selection = st.segmented_control("Time Range", options, selection_mode="single", required=True, default=counter_type.name, label_visibility="hidden")
+
+    match getattr(CounterType, selection):
+        case CounterType.DAILY:
+            st.bar_chart(daily_stats.get_daily_analytics(counter_id), x="date", y="count", color=counter_color)
+        case CounterType.WEEKLY:
+            st.bar_chart(weekly_stats.get_weekly_analytics(counter_id), x="week", y="count", color=counter_color)
+        case CounterType.MONTHLY:
+            st.bar_chart(monthly_stats.get_monthly_analytics(counter_id), x="month", y="count", color=counter_color)
+        case CounterType.YEARLY:
+            st.bar_chart(yearly_stats.get_yearly_analytics(counter_id), x="year", y="count", color=counter_color)
+        case _:
+            logger.error(f"Unknown selection: {selection}")
 
-    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:
 
+    '''
+        By default, if no counter id is passed then show all counters in a a stacked graph
+    '''
+    with st.container(horizontal_alignment="right", vertical_alignment="bottom", horizontal=True):
         st.header("Statistics")
+        selection = st.segmented_control("Time range", options, selection_mode="single", default=f"{CounterType.DAILY.name}", required=True, label_visibility="hidden")
+
+    selectedRange = getattr(CounterType, selection)
+    match getattr(CounterType, selection):
+        case CounterType.DAILY:
+            unit = 'date'
+            unit_label = 'Date'
+            entries = daily_stats.get_all_daily_analytics()
+        case CounterType.WEEKLY:
+            unit = 'week'
+            unit_label ='Week'
+            entries = weekly_stats.get_all_weekly_analytics()
+        case CounterType.MONTHLY:
+            unit = 'month'
+            unit_label = 'Month'
+            entries = monthly_stats.get_all_monthly_analytics()
+        case CounterType.YEARLY:
+            unit = 'year'
+            unit_label = 'Year'
+            entries = yearly_stats.get_all_yearly_analytics()
+        case _:
+            logger.error(f"Unknown selection: {selection}")
 
-    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"]
+    selected_counters = [c for c in entries_full.columns if c != unit]
-    all_counters = sql.get_counters()
+    all_counters = crud.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)
+    st.bar_chart(entries_full, x=unit, x_label=unit_label, y_label="Count", color=colors)

app/queries/connection.py

@@ -0,0 +1,9 @@
+
+import streamlit as st
+from sqlalchemy.sql import text
+from streamlit.connections import BaseConnection
+
+connection: BaseConnection = st.connection("sqlite")
+
+with connection.session as configure_session:
+    configure_session.execute(text('PRAGMA foreign_keys=ON'))

app/queries/crud.py

@@ -0,0 +1,64 @@
+import logging
+import streamlit as st
+from sqlalchemy.sql import text
+from queries.connection import connection
+from enums import CounterType
+
+logger = logging.getLogger(__name__)
+
+def create_counter(title:str, counter_type:CounterType, counter_color) -> None:
+    logger.info("Adding counter %s", counter_type)
+    with connection.session as session:
+        try:
+            query = text('INSERT INTO counters (name, type, color) VALUES (:title, :type, :color)')
+            session.execute(query, {'title': title, 'type': counter_type, 'color': counter_color})
+            session.commit()
+        except Exception as e:
+            logger.error(e)
+            session.rollback()
+
+def get_counters():
+    try:
+        return connection.query('SELECT id, name, type, color FROM counters', ttl=0)
+    except Exception as e:
+        logger.error(e)
+        return st.dataframe()
+
+def increment_counter(counter_id:int) -> None:
+    logger.info("Incrementing counter %s", counter_id)
+    with connection.session as session:
+        try:
+            query = text('INSERT INTO entries (counter_id) VALUES (:id)')
+            session.execute(query, {'id': counter_id})
+            session.commit()
+        except Exception as e:
+            logger.error(e)
+            session.rollback()
+
+
+def remove_counter(counter_id:int) -> None:
+    logger.info("Removing counter %s", counter_id)
+    with connection.session as session:
+        try:
+            query = text('DELETE FROM counters WHERE id = :id')
+            session.execute(query, {'id': counter_id})
+            session.commit()
+        except Exception as e:
+            logger.error(e)
+            session.rollback()
+
+
+def get_counter(counter_id:int):
+    try:
+        return connection.query('SELECT * FROM counters WHERE id = :id', params={'id': counter_id}, ttl=0).iloc[0]
+    except Exception as e:
+        logger.error(e)
+        return None
+
+
+def get_colors(palette_id:int):
+    try:
+        return connection.query('''SELECT color1,color2,color3,color4,color5 FROM color_palettes WHERE id = :id''', params={'id': palette_id})
+    except Exception as e:
+        logger.error(e)
+        return None

app/queries/daily_stats.py

@@ -0,0 +1,66 @@
+import logging
+from queries.connection import connection
+
+logger = logging.getLogger(__name__)
+
+def get_all_daily_analytics(end_date:str = 'now'):
+    try:
+        return connection.query('''
+             WITH RECURSIVE timeseries(d) AS (
+                 VALUES(date(:end_date))
+                 UNION ALL
+                 SELECT date(d, '-1 day') as d
+                 FROM timeseries 
+                 WHERE d > date(:end_date, '-30 days')
+            ),
+            stats AS (
+                SELECT 
+                    date(timestamp) as d,
+                    counter_id,
+                    sum(increment) as count
+                FROM entries
+                group by counter_id, date(timestamp)
+            )
+            select 
+                s.d as date,
+                case 
+                    when counter_id is null then json_object()
+                    else json_group_object(name, count) 
+                end as counters
+            FROM timeseries s
+            left outer join stats t on s.d = t.d
+            left join counters c on t.counter_id = c.id
+            GROUP by s.d
+            ''', params={"end_date": end_date}, ttl=0)
+    except Exception as e:
+        logger.error(e)
+        return None
+
+
+def get_daily_analytics(counter_id:int, end_date:str = 'now'):
+    try:
+        return connection.query('''
+            WITH RECURSIVE timeseries(d) AS (
+                 VALUES(date(:end_date))
+                 UNION ALL
+                 SELECT date(d, '-1 day') as d
+                 FROM timeseries 
+                 WHERE d > date(:end_date, '-7 days')
+            ),
+            stats AS (
+                SELECT 
+                    date(timestamp) as d,
+                    sum(increment) as count
+                FROM entries
+                where counter_id = :id
+                group by date(timestamp)
+            )
+            SELECT 
+                t.d as "date", 
+                coalesce(s.count, 0) as count 
+            FROM timeseries as t
+            LEFT JOIN stats as s on s.d = t.d 
+            ''', params={'id': counter_id, "end_date": end_date}, ttl=0)
+    except Exception as e:
+        logger.error(e)
+        return None

app/queries/monthly_stats.py

@@ -0,0 +1,79 @@
+import logging
+from queries.connection import connection
+
+logger = logging.getLogger(__name__)
+
+def get_all_monthly_analytics(end_date:str = 'now'):
+    try:
+        return connection.query('''                                
+            WITH RECURSIVE timeseries(d) AS (
+                VALUES(date(:end_date,'start of year'))
+                UNION ALL
+                SELECT date(d, '+1 month') as d
+                FROM timeseries 
+                WHERE d < date(:end_date, '-1 month')
+            ),
+             months AS (
+                SELECT 
+                    strftime('%m',d) as m,  
+                    strftime('%Y',d) as y
+                FROM timeseries
+            ),
+            stats AS (
+                SELECT 
+                    strftime('%m', timestamp) as m,  
+                    strftime('%Y', timestamp) as y,
+                    counter_id,
+                    sum(increment) as count
+                FROM entries
+                group by counter_id, strftime('%m', timestamp),  strftime('%Y', timestamp)
+            )
+            select 
+                concat(m.m,', ',m.y) as "month",
+                case 
+                    when counter_id is null then json_object()
+                    else json_group_object(name, count)
+                end as counters
+            FROM months m
+            left outer join stats t on m.m = t.m and m.y = t.y
+            left join counters c on t.counter_id = c.id
+            GROUP by m.m, m.y
+            ''', params={"end_date": end_date}, ttl=0)
+    except Exception as e:
+        logger.error(e)
+        return None
+
+def get_monthly_analytics(counter_id:int, end_date:str = 'now'):
+    try:
+        return connection.query('''
+            WITH RECURSIVE timeseries(d) AS (
+                VALUES( date(:end_date, 'start of year'))
+                UNION ALL
+                SELECT date(d, '+1 month')
+                FROM timeseries 
+                WHERE d < date(:end_date, '-1 month')
+            ),
+            months AS (
+                SELECT 
+                    strftime('%m',d) as m,  
+                    strftime('%Y',d) as y
+                FROM timeseries
+            ),
+            stats AS (
+                SELECT 
+                    strftime('%m', timestamp) as m,  
+                    strftime('%Y', timestamp) as y,
+                    sum(increment) as count
+                FROM entries
+                where counter_id = :id
+                group by strftime('%m', timestamp),  strftime('%Y', timestamp)
+            )
+            SELECT 
+                concat(m.m,', ',m.y) as "month",
+                coalesce(s.count, 0) as count 
+            FROM months as m
+            LEFT JOIN stats as s on s.m = m.m and s.y = m.y
+            ''', params={'id': counter_id, "end_date": end_date}, ttl=0)
+    except Exception as e:
+        logger.error(e)
+        return None

app/queries/weekly_stats.py

@@ -0,0 +1,73 @@
+import logging
+from queries.connection import connection
+
+logger = logging.getLogger(__name__)
+
+def get_all_weekly_analytics(end_date:str = 'now'):
+    try:
+        return connection.query('''                                
+            WITH RECURSIVE timeseries(d) AS (
+                VALUES(date(:end_date, 'weekday 0'))
+                UNION ALL
+                SELECT date(d, '-7 day') as d
+                FROM timeseries 
+                WHERE d > date(:end_date, '-30 days')
+            ),
+            weeks AS (
+                SELECT strftime('%W',d) as w
+                FROM timeseries
+            ),
+            stats AS (
+                SELECT 
+                    strftime('%W', timestamp) as w,
+                    counter_id,
+                    sum(increment) as count
+                FROM entries
+                group by counter_id, strftime('%W', timestamp)
+            )
+            select 
+                s.w as week,
+                case 
+                    when counter_id is null then json_object()
+                    else json_group_object(name, count) 
+                end as counters
+            FROM weeks s
+            left outer join stats t on s.w = t.w
+            left join counters c on t.counter_id = c.id
+            GROUP by s.w
+            ''', params={"end_date": end_date}, ttl=0)
+    except Exception as e:
+        logger.error(e)
+        return None
+
+def get_weekly_analytics(counter_id:int, end_date:str = 'now'):
+    try:
+        return connection.query('''
+            WITH RECURSIVE timeseries(d) AS (
+                 VALUES(date(:end_date, 'weekday 0'))
+                 UNION ALL
+                 SELECT date(d, '-7 day')
+                 FROM timeseries 
+                 WHERE d > date(:end_date, '-30 days')
+            ),
+            weeks AS (
+                SELECT strftime('%W',d) as w
+                FROM timeseries
+            ),
+            stats AS (
+                SELECT 
+                    strftime('%W', timestamp) as w,
+                    sum(increment) as count
+                FROM entries
+                where counter_id = :id
+                group by strftime('%W', timestamp)
+            )
+            SELECT 
+                w.w as "week", 
+                coalesce(s.count, 0) as count 
+            FROM weeks as w
+            LEFT JOIN stats as s on s.w = w.w 
+            ''', params={'id': counter_id, "end_date": end_date}, ttl=0)
+    except Exception as e:
+        logger.error(e)
+        return None

app/queries/yearly_stats.py

@@ -0,0 +1,73 @@
+import logging
+from queries.connection import connection
+
+logger = logging.getLogger(__name__)
+
+def get_all_yearly_analytics(end_date:str = 'now'):
+    try:
+        return connection.query('''                                
+            WITH RECURSIVE timeseries(d) AS (
+                VALUES(date(:end_date,'start of year', '-4 years'))
+                UNION ALL
+                SELECT date(d, '+1 year') as d
+                FROM timeseries 
+                WHERE d < date(:end_date, '-1 year')
+            ),
+            years AS (
+                SELECT strftime('%Y',d) as y
+                FROM timeseries
+            ),
+            stats AS (
+                SELECT 
+                    strftime('%Y', timestamp) as y,
+                    counter_id,
+                    sum(increment) as count
+                FROM entries
+                group by counter_id, strftime('%Y', timestamp)
+            )
+            select 
+                y.y as "year",
+                case 
+                    when counter_id is null then json_object()
+                    else json_group_object(name, count)
+                end as counters
+            FROM years y
+            left outer join stats t on y.y = t.y
+            left join counters c on t.counter_id = c.id
+            GROUP by y.y
+            ''', params={"end_date": end_date}, ttl=0)
+    except Exception as e:
+        logger.error(e)
+        return None
+
+def get_yearly_analytics(counter_id:int, end_date:str = 'now'):
+    try:
+        return connection.query('''
+            WITH RECURSIVE timeseries(d) AS (
+                VALUES( date(:end_date, 'start of year', '-4 years'))
+                UNION ALL
+                SELECT date(d, '+1 year')
+                FROM timeseries 
+                WHERE d < date(:end_date, '-1 year')
+            ),
+            years AS (
+                SELECT strftime('%Y',d) as y
+                FROM timeseries
+            ),
+            stats AS (
+                SELECT 
+                    strftime('%Y', timestamp) as y,
+                    sum(increment) as count
+                FROM entries
+                where counter_id = :id
+                group by strftime('%Y', timestamp)
+            )
+            SELECT 
+                m.y as "year",
+                coalesce(s.count, 0) as count 
+            FROM years as m
+            LEFT JOIN stats as s on s.y = m.y
+            ''', params={'id': counter_id, "end_date": end_date}, ttl=0)
+    except Exception as e:
+        logger.error(e)
+        return None

app/sql.py

@@ -1,230 +0,0 @@
-import logging
-
-import streamlit as st
-
-from sqlalchemy.sql import text
-from enums import CounterType
-
-logger = logging.getLogger(__name__)
-
-connection = st.connection("sqlite")
-with connection.session as configure_session:
-    configure_session.execute(text('PRAGMA foreign_keys=ON'))
-
-def create_counter(title:str, counter_type:CounterType, counter_color) -> None:
-    logger.info("Adding counter %s", counter_type)
-    with connection.session as session:
-        try:
-            query = text('INSERT INTO counters (name, type, color) VALUES (:title, :type, :color)')
-            session.execute(query, {'title': title, 'type': counter_type, 'color': counter_color})
-            session.commit()
-        except Exception as e:
-            logger.error(e)
-            session.rollback()
-
-def get_counters():
-    try:
-        return connection.query('SELECT id, name, type, color FROM counters', ttl=0)
-    except Exception as e:
-        logger.error(e)
-        return st.dataframe()
-
-def increment_counter(counter_id:int) -> None:
-    logger.info("Incrementing counter %s", counter_id)
-    with connection.session as session:
-        try:
-            query = text('INSERT INTO entries (counter_id) VALUES (:id)')
-            session.execute(query, {'id': counter_id})
-            session.commit()
-        except Exception as e:
-            logger.error(e)
-            session.rollback()
-
-
-def remove_counter(counter_id:int) -> None:
-    logger.info("Removing counter %s", counter_id)
-    with connection.session as session:
-        try:
-            query = text('DELETE FROM counters WHERE id = :id')
-            session.execute(query, {'id': counter_id})
-            session.commit()
-        except Exception as e:
-            logger.error(e)
-            session.rollback()
-
-
-def get_counter(counter_id:int):
-    try:
-        return connection.query('SELECT * FROM counters WHERE id = :id', params={'id': counter_id}, ttl=0).iloc[0]
-    except Exception as e:
-        logger.error(e)
-        return None
-
-
-def get_analytics(end_date:str = 'now'):
-    try:
-        return connection.query('''
-             WITH RECURSIVE timeseries(d) AS (
-                 VALUES(date(:end_date))
-                 UNION ALL
-                 SELECT date(d, '-1 day') as d
-                 FROM timeseries 
-                 WHERE d > date(:end_date, '-30 days')
-            ),
-            stats AS (
-                SELECT 
-                    date(timestamp) as d,
-                    counter_id,
-                    sum(increment) as count
-                FROM entries
-                group by counter_id, date(timestamp)
-            )
-            select 
-                s.d as date,
-                case 
-                    when counter_id is null then json_object()
-                    else json_group_object(name, count) 
-                end as counters
-            FROM timeseries s
-            left outer join stats t on s.d = t.d
-            left join counters c on t.counter_id = c.id
-            GROUP by s.d
-                ''', params={"end_date": end_date}, ttl=0)
-    except Exception as e:
-        logger.error(e)
-        return None
-
-def get_daily_analytics(counter_id:int, end_date:str = 'now'):
-    try:
-        return connection.query('''
-            WITH RECURSIVE timeseries(d) AS (
-                 VALUES(date(:end_date))
-                 UNION ALL
-                 SELECT date(d, '-1 day') as d
-                 FROM timeseries 
-                 WHERE d > date(:end_date, '-7 days')
-            ),
-            stats AS (
-                SELECT 
-                    date(timestamp) as d,
-                    sum(increment) as count
-                FROM entries
-                where counter_id = :id
-                group by date(timestamp)
-            )
-            SELECT 
-                t.d as "date", 
-                coalesce(s.count, 0) as count 
-            FROM timeseries as t
-            LEFT JOIN stats as s on s.d = t.d 
-        ''', params={'id': counter_id, "end_date": end_date}, ttl=0)
-    except Exception as e:
-        logger.error(e)
-        return None
-
-
-def get_weekly_analytics(counter_id:int, end_date:str = 'now'):
-    try:
-        return connection.query('''
-            WITH RECURSIVE timeseries(d) AS (
-                 VALUES(date(:end_date, 'weekday 0'))
-                 UNION ALL
-                 SELECT date(d, '-7 day')
-                 FROM timeseries 
-                 WHERE d > date(:end_date, '-30 days')
-            ),
-            weeks AS (
-                SELECT strftime('%W',d) as w
-                FROM timeseries
-            ),
-            stats AS (
-                SELECT 
-                    strftime('%W', timestamp) as w,
-                    sum(increment) as count
-                FROM entries
-                where counter_id = :id
-                group by strftime('%W', timestamp)
-            )
-            SELECT 
-                w.w as "week", 
-                coalesce(s.count, 0) as count 
-            FROM weeks as w
-            LEFT JOIN stats as s on s.w = w.w 
-        ''', params={'id': counter_id, "end_date": end_date}, ttl=0)
-    except Exception as e:
-        logger.error(e)
-        return None
-
-def get_monthly_analytics(counter_id:int, end_date:str = 'now'):
-    try:
-        return connection.query('''
-            WITH RECURSIVE timeseries(d) AS (
-                VALUES( date(:end_date, 'start of year'))
-                UNION ALL
-                SELECT date(d, '+1 month')
-                FROM timeseries 
-                WHERE d < date(:end_date, '-1 month')
-            ),
-            months AS (
-                SELECT 
-                    strftime('%m',d) as m,  
-                    strftime('%Y',d) as y
-                FROM timeseries
-            ),
-            stats AS (
-                SELECT 
-                    strftime('%m', timestamp) as m,  
-                    strftime('%Y', timestamp) as y,
-                    sum(increment) as count
-                FROM entries
-                where counter_id = :id
-                group by strftime('%m', timestamp),  strftime('%Y', timestamp)
-            )
-            SELECT 
-                concat(m.m,', ',m.y) as "month",
-                coalesce(s.count, 0) as count 
-            FROM months as m
-            LEFT JOIN stats as s on s.m = m.m and s.y = m.y
-        ''', params={'id': counter_id, "end_date": end_date}, ttl=0)
-    except Exception as e:
-        logger.error(e)
-        return None
-
-def get_yearly_analytics(counter_id:int, end_date:str = 'now'):
-    try:
-        return connection.query('''
-            WITH RECURSIVE timeseries(d) AS (
-                VALUES( date(:end_date, 'start of year', '-4 years'))
-                UNION ALL
-                SELECT date(d, '+1 year')
-                FROM timeseries 
-                WHERE d < date(:end_date, '-1 year')
-            ),
-            years AS (
-                SELECT strftime('%Y',d) as y
-                FROM timeseries
-            ),
-            stats AS (
-                SELECT 
-                    strftime('%Y', timestamp) as y,
-                    sum(increment) as count
-                FROM entries
-                where counter_id = :id
-                group by strftime('%Y', timestamp)
-            )
-            SELECT 
-                m.y as "year",
-                coalesce(s.count, 0) as count 
-            FROM years as m
-            LEFT JOIN stats as s on s.y = m.y
-        ''', params={'id': counter_id, "end_date": end_date}, ttl=0)
-    except Exception as e:
-        logger.error(e)
-        return None
-
-def get_colors(palette_id:int):
-    try:
-        return connection.query('''SELECT color1,color2,color3,color4,color5 FROM color_palettes WHERE id = :id''', params={'id': palette_id})
-    except Exception as e:
-        logger.error(e)
-        return None

app/styles.py

@@ -1,6 +1,6 @@
 import streamlit as st
-import sql
+import queries
-
+from queries import crud
 
 def _load_css(filepath):
     with open(filepath) as file:
@@ -8,7 +8,7 @@ def _load_css(filepath):
 
 
 def _load_color_selector_styles():
-    colors = sql.get_colors(1) #FIXME Change to use user profile color palette
+    colors = crud.get_colors(1) #FIXME Change to use user profile color palette
     for idx, c in enumerate(colors.keys()):
         css_color = '#' + colors[c][0]
         st.html(f"""