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Each version of the Python engine targets a specific version of the Pricefx platform, as shown in this table:
Python Engine version | Supported Pricefx Platform version | Note |
|---|---|---|
v1 | 9.4 | No longer maintained |
v2 | 9.4 | No longer maintained |
v3 | 10.0 | |
v4 | 10.1 | |
v5 | 10.2 | |
v6 | 10.3 | |
v7 | 10.3, 10.4 | |
v8 | 11.0 | |
v9 | 11.1 and latter | |
v10 | 12.0 |
For more details on the changes provided by each version, see the Changelog page.
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The following images are available at https://gitlab.pricefx.eu/engineering/pricefx-python-engine/container_registry.
Image | Description |
|---|---|
| Minimal image containing only the |
| Image containing |
| Image containing |
If you have no specific needs, use cregistry.pricefx.eu/engineering/pricefx-python-engine/datascience.
For details on libraries available in each flavour see Images flavour.
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It is recommended to start with the following values:
cpuLimit: 2memoryLimit: 8Gi 4Gi
Cluster Settings
If your Python script involves downloading/uploading large amounts of data or uploading big attachments to your model, you may need to update the corresponding cluster settings to avoid issues (such as timeout).
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The Python engine takes a json-encoded dictionary containing the following fields:
Attribute | Type | Description | Mandatory |
|---|---|---|---|
| String | The script you want to run in the Python engine. | yes |
| Dictionary | Optional, a dictionary of values that will be made accessible from inside the script. | no |
See https://pricefx.atlassian.net/wiki/spaces/KB/pages/4346413172/Run+Python+Scripts#Script-sample for examples on how to declare and use these parameters.
See https://pricefx.atlassian.net/wiki/spaces/KB/pages/3862691926/Job+Trigger+Calculations#Parameters-size-limitation for limitation on script/parameters size.
Monitoring
Monitoring of a triggered job is possible in Grafana, after you filter by pricefx_heartbeat_task_id. For details see Job trigger calculation in /wiki/spaces/EN/pages/4120346722.
To add additional logs on model-by-model basis, attach to the model file
| View file | ||
|---|---|---|
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| Code Block |
|---|
{
"rest_calls": true
} |
REST requests and responses will be logged to the console, meaning they can be found in Grafana.
To add the file, go to the model > click ... in the top right corner and select Attachments > Upload.
pyfx Python API
From inside the Python script, the pyfx module is available to interact with the partition. Attached is the complete documentation for the versions of the pyfx module.
Starting with version 9, the documentation for the latest Pricefx Python API version is available at https://developer.pricefx.eu/pricefx-api/pyfx/. Documentation for v8 is available here.
Here is the documentation for previous versions:
v1
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v7
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v8
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