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Version: 2.20 (deprecated)

run

Run a pex_binary target.


To run an executable/script, use pants run on one of the following target types:

(See package for more on the pex_binary target.)

# A python_source target (usually referred to by the filename)
$ pants run project/app.py

or

# A pex_binary target (must be referred to by target name)
$ pants run project:app

To pass arguments to the script/executable, use -- at the end of the command, like this:

$ pants run project/app.py -- --arg1 arg2

You may only run one target at a time.

The program will have access to the same environment used by the parent pants process, so you can set environment variables in the external environment, e.g. FOO=bar pants run project/app.py. (Pants will auto-set some values like $PATH).

Tip: check the return code

Pants will propagate the return code from the underlying executable. Run echo $? after the Pants run to see the return code.

Issues finding files?

Run pants dependencies --transitive path/to/binary.py to ensure that all the files you need are showing up, including for any assets you intend to use.

Execution Semantics

Running a pex_binary is equivalent to package-ing the target followed by executing the built PEX from the repo root.

Running a python_source with the run_goal_use_sandbox field set to True (the default) runs your code in an ephemeral sandbox (temporary directory) with your firstparty code and Pants-generated files (such as a relocated_files or archive) copied inside. If you are using generated files like this, you may need to set the run_goal_use_sandbox to True for file loading to work properly.

Running a python_source with the run_goal_use_sandbox field set to False is equivalent to running the source directly (a la python ...) with the set of third-party dependencies exposed to the interpreter. This is comparable to using a virtual environment or Poetry to run your script (E.g. venv/bin/python ... or poetry run python ...). When scripts write in-repo files—such as Django's manage.py makemigrations - it is often necessary to set run_goal_use_sandbox to False so that the file is written into the expected location.

Watching the filesystem

If the app that you are running is long-lived and safe to restart (including web apps like Django and Flask or other types of servers/services), you can set restartable=True on your pex_binary target to indicate this to Pants. The run goal will then automatically restart the app when its input files change!

On the other hand, if your app is short-lived (like a script) and you'd like to re-run it when files change but never interrupt an ongoing run, consider using pants --loop run instead. See Goals for more information on --loop.

Debugging

Tip: using the VS Code (or any DAP-compliant editor) remote debugger
  1. In your editor, set your breakpoints and any other debug settings (like break-on-exception).
  2. Run your code with pants run --debug-adapter.
  3. Connect your editor to the server. The server host and port are logged by Pants when executing run --debug-adapter. (They can also be configured using the [debug-adapter] subsystem).
Tip: Using the IntelliJ/PyCharm remote debugger

First, add the following target in some BUILD file (e.g., the one containing your other 3rd-party dependencies):

python_requirement(
name = "pydevd-pycharm",
requirements=["pydevd-pycharm==203.5419.8"], # Or whatever version you choose.
)

You can check this into your repo, for convenience.

Now, use the remote debugger as usual:

  1. Start a Python remote debugging session in PyCharm, say on port 5000.
  2. Add the following code at the point where you want execution to pause and connect to the debugger:
import pydevd_pycharm
pydevd_pycharm.settrace('localhost', port=5000, stdoutToServer=True, stderrToServer=True)

Run your executable with pants run as usual.

Note: The first time you do so you may see some extra dependency resolution work, as pydevd-pycharm has now been added to the binary's dependencies, via inference. If you have dependency inference turned off in your repo, you will have to manually add a temporary explicit dependency in your binary target on the pydevd-pycharm target.