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:

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 logging false 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.

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
update_interval: Time interval in seconds to refresh metrics into the file.
- example: 0.1 means metrics are updated every 0.1s or 100ms.

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.

Release files for conductor-python 1.0.62

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for conductor-python 1.0.62
File	Size	Uploaded
conductor-python-1.0.62.tar.gz	80.8 kB	Apr 3, 2023	Details

Built distribution (wheel)

Table of built distributions (wheels) for conductor-python 1.0.62
File	Interpreter	ABI	Platform	Reset
conductor_python-1.0.62-py3-none-any.whl 157.8 kB Apr 3, 2023	Python 3	none	any	Details

Total release size: 238.6 kB

Release files / conductor-python-1.0.62.tar.gz

Download URL	conductor-python-1.0.62.tar.gz
Size	80.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`133d5543e5d85e7719f41a853051495a5fe28746413d7b0c32dbf589ebbd30b6`
BLAKE2b-256 checksum How to use checksums	`d2be61f9d4672ad0820b4ea778582746114571299c55b8dc93ec98dacf691be2`
Upload date	Apr 3, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.11.2`

Release files / conductor_python-1.0.62-py3-none-any.whl

Download URL	conductor_python-1.0.62-py3-none-any.whl
Size	157.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`b8f6c981a0a3d6afc0d2d10f0bec26324e6d93f5cb91adeb48b01903d3a9030f`
BLAKE2b-256 checksum How to use checksums	`686d72a8a964f417559fd3361dc452fb16ee985927d7e5cf9df4c8d82c286e03`
Upload date	Apr 3, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.11.2`