5 changed files with 0 additions and 103 deletions
-14
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@@ -4,11 +4,6 @@
## Setup
`jon` is a Python WSGI application written using Flask.
This means you'll have to install a bunch of Python packages to get up and running.
### Dependencies
```
pip install -r requirements.txt
```
@@ -16,14 +11,6 @@ pip install -r requirements.txt
You should probably use a virtualenv for that.
I develop `jon` using Python 3.10 but it should work with older versions as well.
#### Arch Linux
If you're on Arch, these packages are required for running the server:
```
python python-flask python-flask-login python-psycopg2
```
### Building Frontend JS
Most of jon works without JS but there are some features that require it.
@@ -68,4 +55,3 @@ ssh -nNTvL 5432:fsmi-db.fsmi.org:5432 fsmi-login.fsmi.uni-karlsruhe.de
- [x] Figure out/Add documentation about building `entry.js`
- [ ] Clean up the code a little and add some comments
- [ ] Needs good documentation for maintainability
- [ ] Use cool new function for deactivating items
-53
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@@ -58,56 +58,3 @@ FROM garfield.inventory_items
) m USING (item_id)
ORDER BY inventory_items.name;
-- How many *other* active inventory lines exist with the same barcode in the same location that are newer?
CREATE TEMPORARY VIEW more_recent_inventory_lines_with_same_barcode AS
SELECT
a.item_id,
-- It's important not to count(*) here because item_id is NULL
-- when no other inventory lines exist.
count(b.item_id) AS other_lines_count
FROM garfield.inventory_items AS a
LEFT JOIN garfield.inventory_items AS b
ON a.item_barcode = b.item_barcode
AND a.item_id != b.item_id
AND a.location = b.location
AND b.available
AND b.bought > a.bought
GROUP BY a.item_id;
-- We need to create this table so that we can put an index on it
-- Otherwise the join in the consumption graph query becomes much slower
-- Perhaps it would be nicer to use a materialized view instead
DROP TABLE IF EXISTS last_n_days;
CREATE TEMPORARY TABLE last_n_days AS (
SELECT
generate_series(now() - interval '14 days', now(), interval '1 day')::date AS sale_date
);
CREATE UNIQUE INDEX last_n_days_sale_date ON last_n_days (sale_date);
-- Get an array of how often items were sold over the last 14 days
CREATE TEMPORARY VIEW inventory_last_n_days_sales AS
WITH
sales_by_date AS (
SELECT
inventory_line AS item_id,
date_trunc('day', snack_sales_log_timestamp AT TIME ZONE 'UTC+1') AS sale_date,
count(*)::int AS sales
FROM garfield.snack_sales_log
GROUP BY item_id, sale_date
),
beeg AS (
SELECT item_id, sale_date, count(snack_sales_log_timestamp)::int AS sales
FROM garfield.inventory_items
CROSS JOIN last_n_days
LEFT JOIN garfield.snack_sales_log
ON inventory_line = item_id
-- snack_sales_log has an index on snack_sales_log_timestamp to speed up this query
-- If that index doesn't exist the query takes much longer.
AND sale_date = date_trunc('day', snack_sales_log_timestamp AT TIME ZONE 'UTC+1')
WHERE available
GROUP BY item_id, sale_date
ORDER BY item_id, sale_date
)
SELECT item_id, array_agg(sales) AS last_n_days_sales
FROM beeg
GROUP BY item_id
-2
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@@ -1,8 +1,6 @@
SELECT
*
FROM all_inventory_item_overview
LEFT JOIN more_recent_inventory_lines_with_same_barcode USING (item_id)
LEFT JOIN inventory_last_n_days_sales USING (item_id)
WHERE (%(location_id)s IS NULL OR location = %(location_id)s)
AND available
ORDER BY
-4
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@@ -74,7 +74,3 @@ th {
details {
font-size: 0.8em;
}
.consumption-graph {
display: block;
height: 1em;
}
-30
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@@ -1,34 +1,9 @@
{% macro consumption_graph_svg(values) -%}
{% set stroke_width = 8 %}
{% set width = 300 %}
{% set height = 100 %}
{% set padding = 4 %}
{% set dx = (width - 2 * padding) / ((values | length) + 1) %}
{% set dy = (height - 2 * padding) / ((values + [1]) | max) %}
<svg viewBox="0 0 {{ width }} {{ height }}" role="img" class="consumption-graph">
<polyline
points="
{% for value in values %}
{{ padding + loop.index * dx }}, {{ height - padding - value * dy }}
{% endfor %}
"
stroke="green"
stroke-width="{{ stroke_width }}"
stroke-linecap="round"
stroke-linejoin="round"
fill="none"
>
</svg>
{% endmacro -%}
{% extends "base.html" %}
{% block content %}
<table>
<tr>
<th>Stat</th>
<th>ID</th>
<th>Graph</th>
<th>Barcode</th>
<th>Name</th>
<th>Preis (Netto)</th>
@@ -42,12 +17,7 @@
</tr>
{% for item in items %}
<tr>
<td>
{% if item.units_left == 0 %}<span title="Leerer aktiver Inventareintrag">🅾️</span>{% endif %}
{% 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 %}
</td>
<td><a href="/inventory/item/{{ item.item_id }}">{{ item.item_id }}</a></td>
<td>{{ consumption_graph_svg(item.last_n_days_sales) }}</td>
<td><code>{{ item.item_barcode }}</code></td>
<td>{{ item.name }}</td>
<td class="--align-right">{{ format_currency(item.unit_price) }}</td>