We support importing data from an oparl api.
./manage.py import Springfield
You need to use the official German name with the right capitalization, e.g. München
or Jülich
and not münchen
or Juelich
. The service we're using is a bit picky with those names. The script will tell you to add some lines to the dotenv at the beginning and in the end (and in the logs).
If you've added the cron job, the data will automatically be updated. Otherwise you can always do a manual update with
./manage.py import_update
We import the data in four steps:
- Import the body with some metadata
- Get the bulk of data from the oparl api
- Import the data to the database
- Download and analyse the files
All commands have more options available through --help
.
For the first step, you can use the magic from import_body
with the case-sensitive cityname or the body id:
./manage.py import_body Springfield
or
./manage.py import_body https://oparl.example.org/v1/body/Springfield
If that worked, go to step 2. If you don't to use the magic, pass --manual
:
./manage.py import_body --manual https://oparl.example.org/v1/body/Springfield
You'll need to find out the German "Amtliche Gemeindeschlüssel", which is a 8 letter value that each communality has. You might find your's with
./manage.py citytoags Springfield
Examples:
- München: 09162000
- Augsburg: 09761000
- Neumarkt-Sankt Veit: 09183129
- Köln: 05315000
- Jülich: 05358024
The full list can be found at in this pdf (archive).
The last import_body
has printed the body-id, the primary key of the database record corresponding to the body. If the database has been newly created, this will usually be "1". Set SITE_DEFAULT_BODY
in you .env
to that id.
Import the streets of that city:
./manage.py import_streets 1 --ags 05315000 # Gemeindeschlüssel of Köln, Body-ID 1
Import OpenStreetMap-Amenities of a given city (Not required yet):
./manage.py import_amenities school 1 --ags 05315000 # Gemeindeschlüssel of Köln, Amenity, Body-ID 1
Import the outer shape of a city from OpenStreetMap:
./manage.py import_outline 1 --ags 09162000 # Gemeindeschlüssel of Munich, Body-ID 1
Now we can import the actual data from the OParl backend. This is going to take quite a while because those servers are really slow:
./manage.py import_fetch
Import the loaded data into the database:
./manage.py import_objects
We've now got a fully working instance, just without files. Their import speed is limited by the cpu-intensive analysis:
./manage.py import_files
Instead of crawling the whole API, it is possible to update only one specific item using the import_anything
-command. You will need to specify the urlof the OParl-Object. Here are examples how to import a person, a paper and a meeting:
./manage.py import_anything https://sdnetrim.kdvz-frechen.de/rim4240/webservice/oparl/v1/body/1/person/4933
./manage.py import_anything https://sdnetrim.kdvz-frechen.de/rim4240/webservice/oparl/v1/body/1/paper/53584
./manage.py import_anything https://sdnetrim.kdvz-frechen.de/rim4240/webservice/oparl/v1/body/1/meeting/7298
Sometimes, redundant, unnecessary or unnormalized information comes from an API that you might want to clean up during the import. To do that on an per-instance-basis without the need to patch the importer itself, we provide hooks you can attach custom sanitize-callbacks to. The callbacks are simple Python-scripts that take an object as input and return it in a sanitized version.
The following steps are required to register a sanitize-hook:
- Create a python script that will hold contain the functions, e.g.
customization/import_hooks.py
. You can use import_hooks.py as an example. Please note that the directory needs to contain a__init__.py
-file. - Register the script in your local
.env
-file like this:CUSTOM_IMPORT_HOOKS=customization.import_hooks
- Please refer to our example script to see which callbacks are available and how to write one.