Python

The Python build runner automatically detects Python on agents and allows running Python scripts on Windows, Linux, and macOS.

Refer to Configuring Build Steps for a description of common build steps' settings. Refer to Docker Wrapper to learn how you can run this step inside a Docker container.

Сommand settings

You can choose one of the following Python commands:

Command	Description	Example input
File	Runs a Python script via the provided path.	`scripts/test.py`
Module	Runs a Python module via the provided name (equally to adding `-m` before the module name).	`example-module`
Custom script	Allows entering a Python script's body in the UI form.	ips = {} fh = open("/var/log/nginx/access.log", "r").readlines() for line in fh: ip = line.split(" ")[0] if 6 < len(ip) <=15: ips[ip] = ips.get(ip, 0) + 1 print ips
Unittest	Launch the unittest framework. The unit test results will be displayed on the Tests tab of Build Results. To filter the scope of processed files, you can specify the path to unit test file(s) in the additional arguments.	Optionally, enter `tests/*.py` as an argument to launch all Python files in the `tests` directory via the unittest framework.
Pytest	Launch the pytest framework. The test results will be displayed on the Tests tab of Build Results. To filter the scope of processed files, you can specify the path to pytest file(s) in the additional arguments.	Optionally, enter `tests/*.py` as an argument to launch all Python files in the `tests` directory via the pytest framework.
Flake8	Launch the Flake8 wrapper. The code inspection results will be displayed on the Code Inspection tab of Build Results. To filter the scope of processed files, you can specify the path to Python file(s) in the additional arguments.	Optionally, enter `docs/conf.py` as an argument to check the `conf.py` file for errors.
Pylint	Launch the Pylint tool. The code inspection results will be displayed on the Code Inspection tab of Build Results. To filter the scope of processed files, specify the path to Python file(s) in the additional arguments.	Enter `scripts/*.py` as an argument to check all Python files in the `scripts` directory for errors.
Custom	Arguments of the Python interpreter (for example, `python3 arg1 arg2`). Use this command if you want to enter a custom set of arguments. If the step is launched in a virtual environment, these arguments are applied to the `python` command inside the environment (for example, `python3 -m pipenv run python arg1 arg2`).	`arg1 arg2`

The set of available settings depends on the selected command. This table describes all command settings:

Setting	Description
File	Path to a Python script file.
Module	Path to a Python module file.
Install tool	Select this option to automatically install the selected tool package (Pytest, Flake8, or Pylint) if it is missing on the build agent.
Script or module arguments	Arguments that will be passed to the user script or module after their call.
Script	The custom script body.
Test reporting	Enables test reporting via the automatically installed `teamcity-messages` package. TeamCity receives test reports via service messages and displays them in the build log.
Coverage	Enable code coverage collecting via Coverage.py. TeamCity displays the produced test report on the Code Coverage tab.
Python arguments	Arguments that will be passed to the Python interpreter if a custom command is selected.

Python executable settings

In this block of settings, you can choose a Python version to run.

The Python runner automatically detects Python versions installed on a build agent. On Windows, it checks (1) the default install paths, (2) the system register, (3) the PATH variable. On Linux and macOS, it checks (1) the default install paths, (2) the PATH variable.

The runner sets the first detected versions of Python 2.x and 3.x as the agent's configuration parameters. Alternatively, you can provide a path to any installed version manually.

You can also specify arguments that will be passed to the interpreter in every Python run of this build step (for example, a custom environment tool run or reporting run).

Environment tool settings

Optionally, you can run a Python build step in a virtual environment. The Python runner supports the following tools:

Pipenv
Poetry
Venv
Virtualenv

Pipenv settings

Optionally, enter install run arguments.

Poetry settings

Optionally, enter install run arguments and a custom executable path to Poetry installed on a build agent.

The poetry install command will be run for this environment tool. It will resolve dependencies specified in the pyproject.toml file, located in the working directory. To be parsed correctly, this file should contain the tool.poetry section.

Venv and virtualenv settings

Venv and virtualenv have the following settings:

Setting	Description
Requirement files	Path to the requirements file or a new-line separated list of files.
Pip install run arguments	Additional arguments for the `pip install run` command.
Environment name	Name of the virtual environment.
Venv / virtualenv create arguments	Additional venv / virtualenv arguments to create a new `env` command.

Last modified: 08 July 2021