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6baee544c9 |
@@ -68,4 +68,3 @@ ssh -nNTvL 5432:fsmi-db.fsmi.org:5432 fsmi-login.fsmi.uni-karlsruhe.de
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- [x] Figure out/Add documentation about building `entry.js`
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- [ ] Clean up the code a little and add some comments
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- [ ] Needs good documentation for maintainability
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- [ ] Use cool new function for deactivating items
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+16
-43
@@ -58,56 +58,29 @@ FROM garfield.inventory_items
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) m USING (item_id)
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ORDER BY inventory_items.name;
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-- How many *other* active inventory lines exist with the same barcode in the same location that are newer?
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CREATE TEMPORARY VIEW more_recent_inventory_lines_with_same_barcode AS
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SELECT
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a.item_id,
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-- It's important not to count(*) here because item_id is NULL
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-- when no other inventory lines exist.
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count(b.item_id) AS other_lines_count
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FROM garfield.inventory_items AS a
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LEFT JOIN garfield.inventory_items AS b
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ON a.item_barcode = b.item_barcode
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AND a.item_id != b.item_id
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AND a.location = b.location
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AND b.available
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AND b.bought > a.bought
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GROUP BY a.item_id;
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-- We need to create this table so that we can put an index on it
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-- Otherwise the join in the consumption graph query becomes much slower
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-- Perhaps it would be nicer to use a materialized view instead
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DROP TABLE IF EXISTS last_n_days;
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CREATE TEMPORARY TABLE last_n_days AS (
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SELECT
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generate_series(now() - interval '14 days', now(), interval '1 day')::date AS sale_date
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);
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CREATE UNIQUE INDEX last_n_days_sale_date ON last_n_days (sale_date);
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-- Get an array of how often items were sold over the last 14 days
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CREATE TEMPORARY VIEW inventory_last_n_days_sales AS
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WITH
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sales_by_date AS (
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SELECT
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inventory_line AS item_id,
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date_trunc('day', snack_sales_log_timestamp AT TIME ZONE 'UTC+1') AS sale_date,
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count(*)::int AS sales
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FROM garfield.snack_sales_log
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GROUP BY item_id, sale_date
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last_n_days AS (
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SELECT generate_series(now() - interval '14 days', now(), interval '1 day')::date AS sale_date
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),
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beeg AS (
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SELECT item_id, sale_date, count(snack_sales_log_timestamp)::int AS sales
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last_n_days_sales AS (
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SELECT
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item_id,
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sale_date,
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count(snack_sales_log_timestamp) AS sale_date_sales
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FROM garfield.inventory_items
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LEFT JOIN garfield.inventory_map ON item_id = inventory_id
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-- Is there a better way of writing this?
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-- TODO: Try to speed this query up
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CROSS JOIN last_n_days
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LEFT JOIN garfield.snack_sales_log
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ON inventory_line = item_id
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-- snack_sales_log has an index on snack_sales_log_timestamp to speed up this query
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-- If that index doesn't exist the query takes much longer.
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AND sale_date = date_trunc('day', snack_sales_log_timestamp AT TIME ZONE 'UTC+1')
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WHERE available
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ON inventory_map.snack_id = snack_sales_log.snack_id
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AND DATE_TRUNC('day', snack_sales_log_timestamp) = sale_date
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GROUP BY item_id, sale_date
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ORDER BY item_id, sale_date
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)
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SELECT item_id, array_agg(sales) AS last_n_days_sales
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FROM beeg
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SELECT
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item_id,
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array_agg(sale_date_sales) AS last_n_days_sales
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FROM last_n_days_sales
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GROUP BY item_id
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@@ -1,7 +1,6 @@
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SELECT
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*
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FROM all_inventory_item_overview
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LEFT JOIN more_recent_inventory_lines_with_same_barcode USING (item_id)
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LEFT JOIN inventory_last_n_days_sales USING (item_id)
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WHERE (%(location_id)s IS NULL OR location = %(location_id)s)
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AND available
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@@ -26,7 +26,6 @@
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{% block content %}
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<table>
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<tr>
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<th>Stat</th>
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<th>ID</th>
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<th>Graph</th>
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<th>Barcode</th>
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@@ -42,10 +41,6 @@
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</tr>
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{% for item in items %}
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<tr>
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<td>
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{% if item.units_left == 0 %}<span title="Leerer aktiver Inventareintrag">🅾️</span>{% endif %}
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{% if item.other_lines_count != 0 %}<span title="{% if item.other_lines_count == 1 %}Neuerer Eintrag mit demselben Barcode ist aktiv{% else %}{{ item.other_lines_count }} Einträge mit demselben Barcode sind aktiv{% endif %}">🔄</span>{% endif %}
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</td>
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<td><a href="/inventory/item/{{ item.item_id }}">{{ item.item_id }}</a></td>
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<td>{{ consumption_graph_svg(item.last_n_days_sales) }}</td>
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<td><code>{{ item.item_barcode }}</code></td>
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