- Version 1 was using Django/DjangoRestFramework + postgresql: https://github.com/opendata-stuttgart/meinsack
- This version is using Datasette and Sqlite.
goodbye blog post: https://madflex.de/meinsack-click-goodbye/
- Django/DRF+Postgres was oversized for a readonly rest-api with ical export
- the maintenance started to become a hastle
- cheaper hosting
datasette serve meinsack.db --metadata metadata.yml --plugins-dir plugins --template-dir templates
open in browser: http://localhost:8001/
run tests:
python -m pytest
datasette publish cloudrun meinsack.db --service=meinsack -m metadata.yml --plugins-dir plugins --install datasette-ics --template-dir templates
(not used anymore - too much cost for egress traffic)
datasette publish fly meinsack.db --app meinsack -m metadata.yml --plugins-dir plugins --install datasette-ics --template-dir templates
(not used anymore)
deployed as: https://meinsack.click
see ansible/readme.md
- tables are imported from Django project using db-to-sqlite[postgresql]
- all tables starting with "main_" were used and renamed (prefix removed)
- database view added with:
create view pickupdate_street as select s.name as street, z.zipcode as zipcode, pickupdate.date as start,
date(pickupdate.date, "+1 day") as end, d.name as district, "Gelber Sack Abholtermin" as summary
from pickupdate join area as a on pickupdate.area_id=a.id join zipcode as z on s.zipcode_id=z.id
join street as s on a.id=s.schaalundmueller_district_id join district as d on s.district_id=d.id order_by start;- run (i.e. for 2023)
# download icals from new collector
python download_and_merge_data.py
# import newly created csv file
python import_data.py --filename data/stuttgart_2023.csv --year 2023
(up until end of 2022)
- get pdf from schaal+mueller
- copy into txt file (see previous years in
data) - run import command, i.e.
python import_data.py --filename data/stuttgart_2021.txt --year 2021