switch-api 0.1.17

A complete package for data ingestion into the Switch Automation platform.

Switch Automation library for Python

This is a package for data ingestion into the Switch Automation software platform.

You can find out more about the platform on Switch Automation

Getting started

Prerequisites

• Python 3.8 or later is required to use this package.
• You must have a Switch Automation user account to use this package.

Install the package

Install the Switch Automation library for Python with pip:

pip install switch_api

History

0.1.17

Fixed

• Fixed issue with deploy_on_timer() method of the Automation class in the pipeline module.
• Fixed column header issue with the get_tag_groups() function of the integration module.
• Fixed missing Meta column on table generated via upsert_workorders() function of the integration module.

Added

• New method for uploading custom data to blob Blob.custom_upload()

Updated

• Updated the upsert_device_sensors() to improve performance and aid release of future functionality.

0.1.16

Added

To the pipeline module:

• New method data_feed_history_process_errors(), to the Automation class.
  • This method returns a dataframe containing the distinct set of error types encountered for a specific data_feed_file_status_id
• New method data_feed_history_errors_by_type , to the Automation class.
  • This method returns a dataframe containing the actual errors identified for the specified error_type and data_feed_file_status_id

Additional logging was also incorporated in the backend to support the Switch Platform UI.

Fixed

• Fixed issue with register() method of the Automation class in the pipeline module.

Changed

For the pipeline module:

• Standardised the following methods of the Automation class to return pandas.DataFrame objects.
• Added additional error checks to ensure only allowed values are passed to the various Automation class methods for the parameters:
  • expected_delivery
  • deploy_type
  • queue_name
  • error_type

For the integration module:

• Added additional error checks to ensure only allowed values are passed to post_errors function for the parameters:
  • error_type
  • process_status

For the dataset module:

• Added additional error check to ensure only allowed values are provided for the query_language parameter of the get_data function.

For the _platform module:

• Added additional error checks to ensure only allowed values are provided for the account parameter.

0.1.14

Changed

• updated get_device_sensors() to not auto-detect the data type - to prevent issues such as stripping leading zeroes, etc from metadata values.

0.1.13

Added

To the pipeline module:

• Added a new method, data_feed_history_process_output, to the Automation class

0.1.11

Changed

• Update to access to logger - now available as switch_api.pipeline.logger()
• Update to function documentation

0.1.10

Changed

• Updated the calculation of min/max date (for timezone conversions) inside the upsert_device_sensors function as the previous calculation method will not be supported in a future release of numpy.

Fixed

• Fixed issue with retrieval of tag groups and tags via the functions:
  • get_sites
  • get_device_sensors

0.1.9

Added

• New module platform_insights

In the integration module:

• New function get_sites added to lookup site information (optionally with site-level tags)
• New function get_device_sensors added to assist with lookup of device/sensor information, optionally including either metadata or tags.
• New function get_tag_groups added to lookup list of sensor-level tag groups
• New function get_metadata_keys added to lookup list of device-level metadata keys

Changed

• Modifications to connections to storage accounts.
• Additional parameter queue_name added to the following methods of the Automation class of the pipeline module:
  • deploy_on_timer
  • deploy_as_email_data_feed
  • deploy_as_upload_data_feed
  • deploy_as_ftp_data_feed

Fixed

In the pipeline module:

• Addressed issue with the schema validation for the upsert_workorders function

0.1.8

Changed

In the integrations module:

• Updated to batch upserts by DeviceCode to improve reliability & performance of the upsert_device_sensors function

Fixed

In the analytics module:

• typing issue that caused error in the import of the switch_api package for python 3.8

0.1.7

Added

In the integrations module:

• Added new function upsert_workorders
  • Provides ability to ingest work order data into the Switch Automation platform.
  • Documentation provides details on required & optional fields in the input dataframe and also provides information on allowed values for some fields.
  • Two attributes available for function, added to assist with creation of scripts by providing list of required & optional fields:
    • upsert_workorders.df_required_columns
    • upsert_workorders.df_optional_columns
• Added new function get_states_by_country:
  • Retrieves the list of states for a given country. Returns a dataframe containing both the state name and abbreviation.
• Added new function get_equipment_classes:
  • Retrieves the list of allowed values for Equipment Class.
    • EquipmentClass is a required field for the upsert_device_sensors function

Changed

In the integrations module:

• For the upsert_device_sensors function:
  • New attributes added to assist with creation of tasks:
    • upsert_device_sensors.df_required_columns - returns list of required columns for the input df
  • Two new fields required to be present in the dataframe passed to function by parameter df:
    • EquipmentClass
    • EquipmentLabel
  • Fix to documentation so required fields in documentation match.
• For the upsert_sites function:
  • New attributes added to assist with creation of tasks:
    • upsert_sites.df_required_columns - returns list of required columns for the input df
    • upsert_sites.df_optional_columns - returns list of required columns for the input df
• For the get_templates function:
  • Added functionality to filter by type via new parameter object_property_type
  • Fixed capitalisation issue where first character of column names in dataframe returned by the function had been converted to lowercase.
• For the get_units_of_measure function:
  • Added functionality to filter by type via new parameter object_property_type
  • Fixed capitalisation issue where first character of column names in dataframe returned by the function had been converted to lowercase.

In the analytics module:

• Modifications to type hints and documentation for the functions:
  • get_clone_modules_list
  • run_clone_modules
• Additional logging added to run_clone_modules

0.1.6

Added

• Added new function upsert_timeseries_ds() to the integrations module

Changed

• Additional logging added to invalid_file_format() function from the error_handlers module.

Removed

• Removed append_timeseries() function

0.1.5

Fixed

• bug with upsert_sites() function that caused optional columns to be treated as required columns.

Added

Added additional functions to the error_handlers module:

• validate_datetime() - which checks whether the values of the datetime column(s) of the source file are valid. Any datetime errors identified by this function should be passed to the post_errors() function.
• post_errors() - used to post errors (apart from those identified by the invalid_file_format() function) to the data feed dashboard.

0.1.4

Changed

Added additional required properties to the Abstract Base Classes (ABC): Task, IntegrationTask, AnalyticsTask, LogicModuleTask. These properties are:

• Author
• Version

Added additional parameter query_language to the switch.integration.get_data() function. Allowed values for this parameter are:

• sql
• kql

Removed the name_as_filename and treat_as_timeseries parameter from the following functions:

• switch.integration.replace_data()
• switch.integration.append_data()
• switch.integration.upload_data()