Run Python on n8n.
npm install n8n-nodes-pythonPythonFunction module - custom node for running python code on n8n.
> run python code on n8n
PythonFunction node is used to run custom Python snippets to transform data or to implement some custom functionality
that n8n does not support yet.
This node is pre-installed in
the n8n-python docker image
.
- Use n8n-python:latest-debian if you are planning to install heavy python packages such as numpy or pandas.
- Use n8n-python:latest for a more lightweight image.
> Example using docker-compose.yml
You can mount a requirements.txt file to the container to install additional packages.
You can use the ExecuteCommand node to
run pip install -r requirements.txt
and the n8nTrigger node to trigger it after each restart.
This node requires the following dependencies to be installed in your environment:
- Python 3.6 or higher
``shell`
python3 --version # check output version
- python-fire
`shell`
# install fire
pip install fire
If you’re running either by installing it globally or via PM2, make sure that you install n8n-nodes-python inside n8n.
n8n will find the module and load it automatically.
If using docker, add the following line to your Dockerfile:
`shell`Install n8n-nodes-python module
RUN cd /usr/local/lib/node_modules/n8n && npm install n8n-nodes-python
Read more about the installation process in
the n8n documentation - Use the n8n-nodes-module in production
.
This node receives ìtems and should return a list of items.
Example:
`python3`
new_items = []
for item in items:
item['newField'] = 'newValue'
new_items.append(item)
return new_items # should return a list
> The JSON attribute of each item is added and removed automatically.
> You can access the values directly without the json attribute.json
> You don't need to put the item in a attribute. it will be done automatically.
the items variable is a list of items that are passed to the function. They are directly accessible in the function.
Example:
`python3`
print(items)> list
return items
You can specify environment variables to be used in the python code. The environment variables are accessible throw
the env_vars dict.
Example:
`python3`
print(env_vars)
print(env_vars.get('MY_VAR','default_value'))> dict
it is possible to write to the browser console by writing to stdout
Example:
`
print('Hello World')or
import sys
sys.stdout.write('Hello World')
- stderris used for passing data between nodes.
- if exit code is 0, the node will be executed successfully and stderr represents the JSON representation of thestderr
output of the node
- if exit code is not 0, the node fails and represents the error message
- The json attribute of each item is added and removed automatically. (you can access and return the items directlyjson` attribute)
without the
Pull requests are welcome! For any bug reports, please create an issue.