qfieldcloud-sdk
is the official client to connect to QFieldCloud API either as a python module, or directly from the command line.
pip3 install qfieldcloud-sdk
Install Python with your favorite package manager. Then:
python -m pip install qfieldcloud-sdk
The package also ships with the official QFieldCloud CLI tool.
qfieldcloud-cli [OPTIONS] COMMAND [ARGS]...
# logs in user "user" with password "pass"
qfieldcloud-cli login user pass
# gets the projects of user "user" with password "pass" at "https://localhost/api/v1/"
qfieldcloud-cli -u user -p pass -U https://localhost/api/v1/ list-projects
# gets the projects of user authenticated with token `QFIELDCLOUD_TOKEN` at "https://localhost/api/v1/" as JSON
export QFIELDCLOUD_URL=https://localhost/api/v1/
export QFIELDCLOUD_TOKEN=017478ee2464440cb8d3e98080df5e5a
qfieldcloud-cli --json list-projects
More detailed documentation can be found here
from qfieldcloud_sdk import sdk
client = sdk.Client(url="https://app.qfield.cloud/api/v1/")
client.login(
username="user1",
password="pass1",
)
projects = client.list_projects()
> projects
Projects:
0 myusername/myproject1
1 myusername/myproject2
...
Contributions are more than welcome!
Code style done with precommit.
pip install pre-commit
# if you want to have git commits trigger pre-commit, install pre-commit hook:
pre-commit install
# else run manually before (re)staging your files:
pre-commit run --all-files
One time action to clone and setup:
git clone https://github.com/opengisch/qfieldcloud-sdk-python
cd qfieldcloud-sdk-python
# install dev dependencies
python3 -m pip install pipenv
pre-commit install
# install package in a virtual environment
pipenv install -r requirements.txt
To run CLI interface for development purposes execute:
pipenv shell # if your pipenv virtual environment is not active yet
python -m qfieldcloud_sdk
To ease development, you can set a .env
file. Therefore you can use directly the qfieldcloud-cli
executable:
cp .env.example .env
pipenv run qfieldcloud-cli
# make sure your shell is sourced to no virtual environment
deactivate
# build
python3 -m build
# now either activate your shell with
pipenv shell
# and install with
python -m pip install . --force-reinstall
# or manually ensure it's pipenv and not your global pip doing the installation
pipenv run pip install . --force-reinstall
Voilà!