7 Commits
5 changed files with 86 additions and 16 deletions
+25
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@@ -0,0 +1,25 @@
FROM debian:latest as builder
RUN apt-get update
RUN apt-get upgrade -y
RUN apt-get install -y elm-compiler make ca-certificates
COPY . /app
WORKDIR /app
RUN rm -rf .venv venv
RUN make frontend
FROM python:3.11-alpine as runner
COPY --from=builder /app /app
WORKDIR /app
RUN pip install -r requirements.txt
RUN pip install gunicorn
EXPOSE 5000
ENV JON_DB_CONNECTION_STRING="host=fsmi-db.fsmi.org dbname=garfield"
ENV JON_SECRET_KEY="changeme"
CMD ["sh", "-c", "gunicorn -b '0.0.0.0:5000' --chdir /app 'jon:create_app()'"]
+15
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@@ -45,6 +45,20 @@ flask --app jon run --debug
`--debug` restarts the server when a source file changes.
## Running with docker
When you prefer running the application using docker you can just use
```
docker compose up
```
In case your local username does not line up with your FSMI-username, you need to specify your FSMI-username
using `USER=<username>`, e.g.:
```
USER=shirkanesi docker compose up
```
This can also be persisted by following the instructions in the docker-compose.yml
## fsmi-db forward
```
@@ -68,3 +82,4 @@ 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
+19
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@@ -0,0 +1,19 @@
---
version: '3.7'
services:
jon:
container_name: jon
build: .
ports:
- "5000:5000"
volumes:
- ~/.pgpass:/root/.pgpass:ro
dns:
- 1.1.1.1
- 8.8.8.8
network_mode: bridge
environment:
# If your local user is different from your fsmi user, change $USER here!
- JON_DB_CONNECTION_STRING="host=fsmi-db.fsmi.org dbname=garfield user=$USER"
- JON_SECRET_KEY="changemetosomethingsuperrandomandsecure"
+1
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@@ -20,6 +20,7 @@ def create_app():
# You don't need a config.json. If you don't provide one, default-config.json
# is used.
app.config.from_file("config.json", load=json.load, silent=True)
app.config.from_prefixed_env(prefix="JON")
db.init_app(app)
auth.init_app(app)
+26 -16
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@@ -74,30 +74,40 @@ LEFT JOIN garfield.inventory_items AS b
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
last_n_days AS (
SELECT generate_series(now() - interval '14 days', now(), interval '1 day')::date AS sale_date
),
last_n_days_sales AS (
sales_by_date AS (
SELECT
item_id,
sale_date,
count(snack_sales_log_timestamp) AS sale_date_sales
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
LEFT JOIN garfield.inventory_map ON item_id = inventory_id
-- Is there a better way of writing this?
-- TODO: Try to speed this query up
CROSS JOIN last_n_days
LEFT JOIN garfield.snack_sales_log
ON inventory_map.snack_id = snack_sales_log.snack_id
AND DATE_TRUNC('day', snack_sales_log_timestamp) = sale_date
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(sale_date_sales) AS last_n_days_sales
FROM last_n_days_sales
SELECT item_id, array_agg(sales) AS last_n_days_sales
FROM beeg
GROUP BY item_id