The GISIB system is not able to provide the data needed to display Oak trees on a map fast enough. Therefore, the Oak trees are imported in the database.
A Django management command is provided to import the Oak trees.
python manage.py import_oak_trees --help
usage: manage.py import_oak_trees [-h] [--days DAYS] [--clear] [--version] [-v {0,1,2,3}] [--settings SETTINGS] [--pythonpath PYTHONPATH] [--traceback] [--no-color] [--force-color]
[--skip-checks]
Start import oak trees data
optional arguments:
-h, --help show this help message and exit
--days DAYS Number of days in the past to import oak trees
--clear Clear the oak trees from the table before starting the import.
--version Show program's version number and exit.
-v {0,1,2,3}, --verbosity {0,1,2,3}
Verbosity level; 0=minimal output, 1=normal output, 2=verbose output, 3=very verbose output
--settings SETTINGS The Python path to a settings module, e.g. "myproject.settings.main". If this isn't provided, the DJANGO_SETTINGS_MODULE environment variable will be used.
--pythonpath PYTHONPATH
A directory to add to the Python path, e.g. "/home/djangoprojects/myproject".
--traceback Raise on CommandError exceptions.
--no-color Don't colorize the command output.
--force-color Force colorization of the command output.
--skip-checks Skip system checks.
This project includes a Celery task that can be scheduled via the Django admin.
The task is named import_quercus_trees
and it (like name suggest) imports all
oak trees into the system.
You can configure the task to check for changes since a certain number of days
ago by setting the parameter for time_delta
. If you want to clear the
database before importing the data, you can set the clear
parameter to True
.
Please note that running the task may take some time, depending on the size of the data being imported and the connection to GISIB. We recommend scheduling the task once per day or per week, rather than at shorter intervals, to avoid overloading the system and/or GISIB.
The Oak trees can be accessed through the provided API, more information about the API can be found here.