Creating Python Input Data Source
The Python connector lets you load data through Python. This can be useful for example when connecting to unusual data sources for which there is a client library in Python, or when you want to apply custom data transforms to the data in Python.
A requirement for using the Python connector is that your Panopticon server has been configured to integrate with a running Python environment, as described in the Real Time Installation and Reference Guide.
The Python connector has settings that may be pre-configured by the Panopticon server administrator, and thereby not exposed to the users of the connector. If the settings are not pre-configured, you will see the following settings:
When using Pyro4 integration:
| Setting | Description |
|
Host |
The hostname or IP-number where Python is running. |
|
Port |
The port number where Pyro4 is listening. |
|
HMAC Key |
A secret password set in the integration configuration that must be matched. |
|
Serialization Type |
Can be either serpent or pickle. |
When using FAST API integration (Linux servers only):
| Setting | Description |
|
Host |
The hostname or IP-number where Python is running. |
|
Port |
The port number where FAST API is listening. |
You will also see the following setting:
| Setting | Description |
|
Python Script (checkbox) |
Whether Apache Arrow serialization should be applied to the data during transfer from Python to Panopticon. This will make the data transfer significantly faster. |
NOTE: If your Panopticon server has not been configured for integration with a Python environment, you will not be able to use the Python connector, regardless of what settings you make in the connector.
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