Can PyCharm run/debug configuration environment variables reach production runtimes?

Short answer

No. Environment variables entered in a PyCharm run/debug configuration are injected only into the process that PyCharm itself starts. They are not automatically forwarded to systemd units, Docker containers, CI jobs, or any other production runtime.

Why the variables stay inside the IDE

PyCharm stores run-configuration values in IDE configuration files—typically per-user .idea/workspace.xml or, when shared, .run/*.xml—rather than in the application or its deployment artifacts. When PyCharm launches your script, it adds those variables to the child process environment. An external process manager starts the same code from a different parent process, so it never sees the IDE's overrides.

Confirmed behavior

• Run-configuration environment variables apply only to IDE-launched processes.
• PyCharm has no supported mechanism to push those values to systemd, Docker, or CI.
• Professional Edition can launch Docker containers with environment variables, but only while PyCharm is starting the container; the values are not baked into the image for later external use.
• Community Edition lacks built-in Docker run configurations; behavior varies by edition and version, so check your installed PyCharm settings before relying on .env support or Docker integration.

Production sources you must configure separately

• systemd: Environment= or EnvironmentFile= in the unit file.
• Docker: ENV in the image, docker run -e, or --env-file.
• CI/CD: repository secrets or job-level environment variables.

Recommended steps

1. Move shared configuration out of the PyCharm UI into a single env file, such as .env, that is git-ignored for secrets.
2. Reference that file from both PyCharm and the production target: PyCharm run configuration environment-file field, systemd EnvironmentFile=, Docker --env-file, or CI env injection.
3. Add startup validation in code so missing required keys fail fast instead of causing silent misbehavior.

Verification

Run the same entry point from PyCharm and from the production target, dump the environment, and diff the keys.

python -c "import os; print('\n'.join(sorted(os.environ)))"

On Linux, inspect a running process directly:

tr '\0' '\n' < /proc/<pid>/environ

For systemd and Docker, check the unit and container definitions rather than guessing:

systemctl show <unit> --property=Environment,EnvironmentFiles
docker inspect <container> --format '{{json .Config.Env}}'

systemd and Docker env-file parsing differ in quoting and comment handling, so a file that works in one target may fail in the other.