Netflix Conductor SDK - Python
The conductor-python
repository provides the client SDKs to build task workers in Python.
Building the task workers in Python mainly consists of the following steps:
- Setup conductor-python package
- Create and run task workers
- Create workflows using code
Setup Conductor Python Package
- Create a virtual environment to build your package
virtualenv conductor
source conductor/bin/activate
- Get Conductor Python SDK
python3 -m pip install conductor-python
Server Settings
Everything related to server settings should be done within the Configuration
class by setting the required parameter (when initializing an object) like this:
from conductor.client.configuration.configuration import Configuration
configuration = Configuration(
server_api_url='https://play.orkes.io/api',
debug=True
)
- server_api_url : Conductor server address. For example, if you are running locally, it would look like;
http://localhost:8000/api
. - debug: It can take the values true/false.
true
for verbose loggingfalse
to display only the errors
Authentication Settings (Optional)
Configure the authentication settings if your Conductor server requires authentication.
Access Control Setup
See Access Control for more details on role-based access control with Conductor and generating API keys for your environment.
from conductor.client.configuration.configuration import Configuration
from conductor.client.configuration.settings.authentication_settings import AuthenticationSettings
configuration = Configuration(
authentication_settings=AuthenticationSettings(
key_id='key',
key_secret='secret'
)
)
Metrics Settings (Optional)
Conductor uses Prometheus to collect metrics.
metrics_settings = MetricsSettings(
directory='/path/to/folder',
file_name='metrics_file_name.extension',
update_interval=0.1,
)
directory
: Directory to store the metrics.- Ensure that you have already created this folder, or the program should have permission to create it for you.
file_name
: File where the metrics are stored.- example:
metrics.log
- example:
update_interval
: Time interval in seconds to refresh metrics into the file.- example:
0.1
means metrics are updated every 0.1s or 100ms.
- example:
Create and Run Task Workers
The next step is to create and run task workers.
Create Workflows using Code
Finally, you can create workflows using code.