switch-api 0.5.9

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

0.5.8

Fixed

In the analytics module:

• Fixed bug on AU datacentre API endpoint construction.

0.5.7

Modified

In the controls module:

• Modified submit_control method
  • Returns sensor control values upon control request acknowledgement

0.5.5

Added

In the pipeline module:

• Added a new task IQTask
  • Additional abstract property module_type that accepts strings. This should define the type of IQ module.
  • Abstract method process must be instantiated for the task to be registered.

Modified

In the pipeline module:

• Updated the Automation.register_task() method to accept tasks that subclass the new IQTask.

0.5.4

Added

In the integration module:

• Added new function upsert_reservations()
  • Upserts data to the ReservationHistory table
  • Two attributes added to assist with creation of the input dataframe:
    • upsert_reservations.df_required_columns - returns list of required columns for the input df
    • upsert_reservations.df_optional_columns - returns list of required columns for the input df
  • The following datetime fields are required and must use the local_date_time_cols and utc_date_time_cols parameters to define whether their values are in site-local timezone or UTC timezone:
    • CreatedDate
    • LastModifiedDate
    • ReservationStart
    • ReservationEnd
• Added new function upsert_device_sensors_iq
  • Same functionality with upsert_device_sensors but modified/simplified to work with Switch IQ
  • 'Tags' are included in each row of passing dataframe for upsert instead of a separate list in the original

In the authentication module:

• Customized get_switch_credentials with custom port instead of a fixed one
  • initialize function now has custom_port parameter for custom port settings when authenticating

In the controls module:

• Modified submit_control functon to return consolidated dataframe with added columns: status and writeStatus that flags whether the control request was successful or not. Instead of the previous 2 separate dataframes
• Modified submit_control function as well to have paginated processing of dataframe to submit control instead of sending them all in one go
• Modified _mqtt class to add Gateway Connected check before sending/submitting control request to the MQTT Broker.

0.5.3

Added

• In the integration module:
  • Added override_existing parameter in upsert_discovered_records
    • Flag if it the values passed to df will override existing integration records. Only valid if running locally, not on a deployed task where it is triggered via UI.
    • Defaults to False

0.5

Added

• In the pipeline module:
  • Added a new task type called Guide.
    • this task type should be sub-classed in concert with one of the Task sub-classes when deploying a guide to the marketplace.
  • Added a new method to the Automation class called register_guide_task()
    • this method is used to register tasks that sub-class the Guide task and also posts form files to blob and registers the guide to the Marketplace.
• New _guide module - only to be referenced when doing initial development of a Guide
  • guide's `local_start' method
    • Allows to run mock guides engine locally that ables to debug Guide task types with Form Kit playground.

Fixed

• In controls module:
  • modify submit_control method parameters - typings
  • remove extra columns from payload to IoT API requests

0.4.9

Added

• New method added in automation module:
  • run_data_feed() - Run python job based on data feed id. This will be sent to the queue for processing and will undergo same procedure as the rest of the datafeed.
    • Required parameters are api_inputs and data_feed_id
    • This has a restriction of only allowing an AnalyticsTask type datafeed to be run and deployed as a Timer
• New method added in analytics module:
  • upsert_performance_statistics - this method should only be used by tasks used to populate the Portfolio Benchmarking feature in the Switch Automation platform
• New controls module added and new method added to this module:
  • submit_control() - method to submit control of sensors
    • this method returns a tuple: (control_response, missing_response):
      • control_response - is the list of sensors that are acknowledged and process by the MQTTT message broker
      • missing_response = is the list of sensors that are sensors that were caught by the connection time_out - default to 30 secs - meaning the response were no longer waited to be received by the python package. Increasing the time out can potentially help with this.

Fixed

• In the integration module, minor fixes to:
  • An unhandled exception when using pandas==2.1.1 on the following functions:
    • upsert_sites()
    • upsert_device_sensors()
    • upsert_device_sensors_ext()
    • upsert_workorders()
    • upsert_timeseries_ds()
    • upsert_timeseries()
  • Handle deprecation of pandas.DataFrame.append() on the following functions:
    • upsert_device_sensors()
    • upsert_device_sensors_ext()
  • An unhandled exception for connect_to_sql() function when the internal API call within _get_sql_connection_string() fails.

0.4.8

Added

• New class added to the pipeline module:
  • BlobTask - This class is used to create integrations that post data to the Switch Automation Platform using a blob container & Event Hub Queue as the source.
    • Please Note: This task type requires external setup in Azure by Switch Automation Developers before a task can be registered or deployed.
    • requires process_file() abstract method to be created when sub-classing
• New method, deploy_as_on_demand_data_feed() added to the Automation class of the pipeline module
  • this new method is only applicable for tasks that subclass the BlobTask base class.
• In the integration module, new helper methods have been added:
  • connect_to_sql() method creates a pyodbc connection object to enable easier querying of the SQL database via the pyodbc library
  • amortise_across_days() method enables easier amortisation of data across days in a period, either inclusive or exclusive of end date.
  • get_metadata_where_clause() method enables creation of sql_where_clause for the get_device_sensors() method where for each metadata key the sql checks its not null.
• In the error_handlers module:
  • check_duplicates() method added to check for duplicates & post appropriate errors to Task Insights UI in the Switch Automation platform.
• In the _utils._utils module:
  • requests_retry_session2 helper function added to enable automatic retries of API calls

Updated

• In the integration module:

  • New parameter include_removed_sites added to the get_sites() function.
    • Determines whether or not to include sites marked as "IsRemoved" in the returned dataframe.
    • Defaults to False, indicating removed sites will not be included.
  • Updated theget_device_sensor() method to check if requested metadata keys or requested tag groups exist for the portfolio and exception if they don't.
  • New parameter send_notification added to the upsert_timeseries() function.
    • This enables Iq Notification messages to be sent when set to True
    • Defaults to False
  • For the get_sites(), get_device_sensors() and get_data() functions, additional parameters have been added to allow customisation of the newly implemented retry logic:
    • retries : int
      • Number of retries performed beforereturning last retry instance's response status. Max retries = 10. Defaults to 0 currently for backwards compatibility.
    • backoff_factor
      • If A backoff factor to apply between attempts after the second try (most errors are resolved immediately by a second try without a delay). {backoff factor} * (2 ** ({retry count} - 1)) seconds

• In the error_handlers module:

  • For the validate_datetime function, added two new parameters to enable automatic posting of errors to the Switch Platform:
    • errors : boolean, defaults to False. To enable posting of errors, set to True.
    • api_inputs: defaults to None. Needs to be set to the object returned from switch_api.initialize() if errors=True.

Fixed

• In the integration module:
  • Resolved outlier scenario resulting in unhandled exception on the upsert_sites() function.
  • Minor fix to the upsert_discovered_records() method to handle the case when unexpected columns are present in the dataframe passed to df input parameter

0.4.6

Added

• Task Priority and Task Framework data feed deployment settings
  • Task Priority and Task Framework are now available to set when deploying data feeds
    • Task Priority
      • Determines the priority of the datafeed tasks when processing.
      • This equates to how much resources would be alloted to run the task
      • Available options are: default, standard, or advanced.
        • set to advanced for higher resource when processing data feed task
      • Defaults to 'default'.
    • Task Framework
      • Determines the framework of the datafeed tasks when processing.
        • 'PythonScriptFramework' for the old task runner engine.
        • 'TaskInsightsEngine' for the new task running in container apps.
        • Defaults to 'PythonScriptFramework'

0.4.5

Added

• Email Sender Module
  • Send emails to active users within a Portfolio in Switch Automation Platform
  • Limitations:
    • Emails cannot be sent to users outside of the Portfolio including other users within the platform
    • Maximum of five attachments per email
    • Each attachment has a maximum size of 5mb
  • See function code documentation and usage example below
• New generate_filepath method to provide a filepath where files can be stored
  • Works well with the attachment feature of the Email Sender Module. Store files in the generated filepath of this method and pass into email attachments
  • See function code documentation and usage example below

Email Sender Usage

import switch_api as sw

sw.email.send_email(
    api_inputs=api_inputs,
    subject='',
    body='',
    to_recipients=[],
    cc_recipients=[], # Optional
    bcc_recipients=[], # Optional
    attachments=['/file/path/to/attachment.csv'], # Optional
    conversation_id='' # Optional
)

generate_filepath Usage

import switch_api as sw

generated_attachment_filepath = sw.generate_filepath(api_inputs=api_inputs, filename='generated_attachment.txt')

# Example of where it could be used
sw.email.send_email(
    ...
    attachments=[generated_attachment_filepath]
    ...
)

Fixed

• Issue where upsert_device_sensors_ext method was not posting metadata and tag_columns to API

0.3.3

Added

• New upsert_device_sensors_ext method to the integration module.
  • Compared to existing upsert_device_sensors following are supported:
    • Installation Code or Installation Id may be provided
      • BUT cannot provide mix of the two, all must have either code or id and not both.
    • DriverClassName
    • DriverDeviceType
    • PropertyName

Added Feature - Switch Python Extensions

• Extensions may be used in Task Insights and Switch Guides for code reuse
• Extensions maybe located in any directory structure within the repo where the usage scripts are located
• May need to adjust your environment to detect the files if you're not running a project environment
  • Tested on VSCode and PyCharm - contact Switch Support for issues.

Extensions Usage

import switch_api as sw

# Single import line per extension
from extensions.my_extension import MyExtension

@sw.extensions.provide(field="some_extension")
class MyTask:
    some_extension: MyExtension

if __name__ == "__main__":
    task = MyTask()
    task.some_extension.do_something()

Extensions Registration

import uuid
import switch_api as sw

class SimpleExtension(sw.extensions.ExtensionTask):
    @property
    def id(self) -> uuid.UUID:
        # Unique ID for the extension.
        # Generate in CLI using:
        #   python -c 'import uuid; print(uuid.uuid4())'
        return '46759cfe-68fa-440c-baa9-c859264368db'

    @property
    def description(self) -> str:
        return 'Extension with a simple get_name function.'

    @property
    def author(self) -> str:
        return 'Amruth Akoju'

    @property
    def version(self) -> str:
        return '1.0.1'

    def get_name(self):
        return "Simple Extension"

# Scaffold code for registration. This will not be persisted in the extension.
if __name__ == '__main__':
    task = SimpleExtension()

    api_inputs = sw.initialize(api_project_id='<portfolio-id>')

    # Usage test
    print(task.get_name())

    # =================================================================
    # REGISTER TASK & DATAFEED ========================================
    # =================================================================
    register = sw.pipeline.Automation.register_task(api_inputs, task)
    print(register)

Updated

• get_data now has an optional parameter to return a pandas.DataFrame or JSON

0.2.27

Fix

• Issue where Timezone DST Offsets API response of upsert_timeseries in integration module was handled incorrectly

0.2.26

Updated

• Optional table_def parameter on upsert_data, append_data, and replace_data in integration module
  • Enable clients to specify the table structure. It will be merged to the inferred table structure.
• list_deployments in Automation module now provides Settings and DriverId associated with the deployments

0.2.25

Updated

• Update handling of empty Timezone DST Offsets of upsert_timeseries in integration module

0.2.24

Updated

• Fix default ingestion_mode parameter value to 'Queue' instead of 'Queued' on upsert_timeseries in integration module

0.2.23

Updated

• Optional ingestion_mode parameter on upsert_timeseries in integration module
  • Include ingestionMode in json payload passed to backend API
  • IngestionMode type must be Queue or Stream
  • Default ingestion_mode parameter value in upsert_timeseries is Queue
  • To enable table streaming ingestion, please contact [e-mail] for assistance.

0.2.22

Updated

• Optional ingestion_mode parameter on upsert_data in integration module
  • Include ingestionMode in json payload passed to backend API
  • IngestionMode type must be Queue or Stream
  • Default ingestion_mode parameter value in upsert_data is Queue
  • To enable table streaming ingestion, please contact [e-mail] for assistance.

Fix

• sw.pipeline.logger handlers stacking

0.2.21

Updated

• Fix on get_data method in dataset module
  • Sync parameter structure to backend API for get_data
  • List of dict containing properties of name, value, and type items
  • type property must be one of subset of the new Literal DATA_SET_QUERY_PARAMETER_TYPES

0.2.20

Added

• Newly supported Azure Storage Account: GatewayMqttStorage
• An optional property on QueueTask to specific QueueType
  • Default: DataIngestion

0.2.19

Fixed

• Fix on upsert_timeseries method in integration module
  • Normalized TimestampId and TimestampLocalId seconds
• Minor fix on upsert_entities_affected method in integration utils module
  • Prevent upsert entities affected count when data feed file status Id is not valid
• Minor fix on get_metadata_keys method in integration helper module
  • Fix for issue when a portfolio does not contain any values in the ApiMetadata table

0.2.18

Added

• Added new is_specific_timezone parameter in upsert_timeseries method of integration module

  • Accepts a timezone name as the specific timezone used by the source data.

  • Can either be of type str or bool and defaults to the value of False.

  • Cannot have value if 'is_local_time' is set to True.

  • Retrieve list of available timezones using 'get_timezones' method in integration module

    is_specific_timezone	is_local_time	Description
    False	False	Datetimes in provided data is already in UTC and should remain as the value of Timestamp. The TimestampLocal (conversion to site-local Timezone) is calculated.
    False	True	Datetimes in provided data is already in the site-local Timezone & should be used to set the value of the TimestampLocal field. The UTC Timestamp is calculated
    Has Value	True	NOT ALLOWED
    Has Value	False	Both Timestamp and TimestampLocal fields will are calculated. Datetime is converted to UTC then to Local.
    True		NOT ALLOWED
    '' (empty string)		NOT ALLOWED

Fixed

• Minor fix on upsert_tags and upsert_device_metadata methods in integration module
  • List of required_columns was incorrectly being updated when these functions were called
• Minor fix on upsert_event_work_order_id method in integration module when attempting to update status of an Event

Updated

• Update on DiscoveryIntegrationInput namedtuple - added job_id
• Update upsert_discovered_records method required columns in integration module
  • add required JobId column for Data Frame parameter

0.2.17

Fixed

• Fix on upsert_timeseries() method in integration module for duplicate records in ingestion files
  • records whose Timestamp falls in the exact DST start created 2 records with identical values but different TimestampLocal
    • one has the TimestampLocal of a DST and the other does not

Updated

• Update on get_sites() method in integration module for InstallationCode column
  • when the `InstallationCode' value is null in the database it returns an empty string
  • InstallationCode column is explicity casted to dtype 'str'

0.2.16

Added

• Added new 5 minute interval for EXPECTED_DELIVERY Literal in automation module
  • support for data feed deployments Email, FTP, Upload, and Timer
  • usage: expected_delivery='5min'

Fixed

• Minor fix on upsert_timeseries() method using data_feed_file_status_id parameter in integration module.
  • data_feed_file_status_id parameter value now synced between process records and ingestion files when supplied

Updated

• Reduced ingestion files records chunking by half in upsert_timeseries() method in integration module.
  • from 100k records chunk down to 50k records chunk

0.2.15

Updated

• Optimized upsert_timeseries() method memory upkeep in integration module.

0.2.14

Fixed

• Minor fix on invalid_file_format() method creating structured logs in error_handlers module.

0.2.13

Updated

• Freeze Pandera[io] version to 0.7.1
  • PandasDtype has been deprecated since 0.8.0

Compatibility

• Ensure local environment is running Pandera==0.7.1 to match cloud container state
• Downgrade/Upgrade otherwise by running:
  • pip uninstall pandera
  • pip install switch_api

0.2.12

Added

• Added upsert_tags() method to the integration module.
  • Upsert tags to existing sites, devices, and sensors
  • Upserting of tags are categorised by the tagging level which are Site, Device, and Sensor level
  • Input dataframe requires `Identifier' column whose value depends on the tagging level specified
    • For Site tag level, InstallationIds are expected to be in the Identifier column
    • For Device tag level, DeviceIds are expected to be in the Identifier column
    • For Sensor tag level, ObjectPropertyIds are expected to be in the Identifier column
• Added upsert_device_metadata() method to the integration module.
  • Upsert metadata to existing devices

Usage

• upsert_tags()
  • sw.integration.upsert_tags(api_inputs=api_inputs, df=raw_df, tag_level='Device')
  • sw.integration.upsert_tags(api_inputs=api_inputs, df=raw_df, tag_level='Sensor')
  • sw.integration.upsert_tags(api_inputs=api_inputs, df=raw_df, tag_level='Site')
• upsert_device_metadata()
  • sw.integration.upsert_device_metadata(api_inputs=api_inputs, df=raw_df)

0.2.11

Added

• New cache module that handles cache data related transactions
  • set_cache method that stores data to cache
  • get_cache method that gets stored data from cache
  • Stored data can be scoped / retrieved into three categories namely Task, Portfolio, and DataFeed scopes
    • For Task scope,
      • Data cache can be retrieved by any Portfolio or Datafeed that runs in same Task
      • provide TaskId (self.id when calling from the driver)
    • For DataFeed scope,
      • Data cache can be retrieved (or set) within the Datafeed deployed in portfolio
      • Provide UUID4 for local testing. api_inputs.data_feed_id will be used when running in the cloud.
    • For Portfolio scope:
      • Data cache can be retrieved (or set) by any Datafeed deployed in portfolio
      • scope_id will be ignored and api_inputs.api_project_id will be used.

0.2.10

Fixed

• Fixed issue with upsert_timeseries_ds() method in the integration module where required fields such as Timestamp, ObjectPropertyId, Value were being removed.

0.2.9

Added

• Added upsert_timeseries() method to the integration module.
  • Data ingested into table storage in addition to ADX Timeseries table
  • Carbon calculation performed where appropriate
    • Please note: If carbon or cost are included as fields in the Meta column then no carbon / cost calculation will be performed

Changed

• Added DriverClassName to required columns for upsert_discovered_records() method in the integration module

Fixed

• A minor fix to 15-minute interval in upsert_timeseries_ds() method in the integration module.

0.2.8

Changed

• For the EventWorkOrderTask class in the pipeline module, the check_work_order_input_valid() and the generate_work_order() methods expect an additional 3 keys to be included by default in the dictionary passed to the work_order_input parameter:
  • InstallationId
  • EventLink
  • EventSummary

Fixed

• Issue with the header/payload passed to the API within the upsert_event_work_order_id() function of the integration module.

0.2.7

Added

• New method, deploy_as_on_demand_data_feed() added to the Automation class of the pipeline module
  • this new method is only applicable for tasks that subclass the EventWorkOrderTask base class.

Changed

• The data_feed_id is now a required parameter, not optional, for the following methods on the Automation class of the pipeline module:
  • deploy_on_timer()
  • deploy_as_email_data_feed()
  • deploy_as_ftp_data_feed()
  • deploy_as_upload_data_feed()
• The email_address_domain is now a required parameter, not optional, for the deploy_as_email_data_feed() method on the Automation class of the pipeline module.

Fixed

• issue with payload on switch_api.pipeline.Automation.register_task() method for AnalyticsTask and EventWorkOrderTask base classes.

0.2.6

Fixed

• Fixed issues on 2 methods in the Automation class of the pipeline module:
  • delete_data_feed()
  • cancel_deployed_data_feed()

Added

In the pipeline module:

• Added new class EventWorkOrderTask
  • This task type is for generation of work orders in 3rd party systems via the Switch Automation Platform's Events UI.

Changed

In the pipeline module:

• AnalyticsTask - added a new method & a new abstract property:
  • analytics_settings_definition abstract property - defines the required inputs (& how these are displayed in the Switch Automation Platform UI) for the task to successfully run
  • added check_analytics_settings_valid() method that should be used to validate the analytics_settings dictionary passed to the start() method contains the required keys for the task to successfully run (as defined by the analytics_settings_definition)

In the error_handlers module:

• In the post_errors() function, the parameter errors_df is renamed to errors and now accepts strings in addition to pandas.DataFrame

Removed

Due to cutover to a new backend, the following have been removed:

• run_clone_modules() function from the analytics module
• the entire platform_insights module including the :
  • get_current_insights_by_equipment() function

0.2.5

Added

• The Automation class of the pipeline module has 2 new methods added: -delete_data_feed()
  • Used to delete an existing data feed and all related deployment settings
  • cancel_deployed_data_feed()
    • used to cancel the specified deployment_type for a given data_feed_id
    • replaces and expands the functionality previously provided in the cancel_deployed_timer() method which has been removed.

Removed

• Removed the cancel_deployed_timer() method from the Automation class of the pipeline module
  • this functionality is available through the new cancel_deployed_data_feed() method when deployment_type parameter set to ['Timer']

0.2.4

Changed

• New parameter data_feed_name added to the 4 deployment methods in the pipeline module's Automation class
  • deploy_as_email_data_feed()
  • deploy_as_ftp_data_feed()
  • deploy_as_upload_data_feed()
  • deploy_on_timer()

0.2.3

Fixed

• Resolved minor issue on register_task() method for the Automation class in the pipeline module.

0.2.2

Fixed

• Resolved minor issue on upsert_discovered_records() function in integration module related to device-level and sensor-level tags.

0.2.1

Added

• New class added to the pipeline module
  • DiscoverableIntegrationTask - for API integrations that are discoverable.
    • requires process() & run_discovery() abstract methods to be created when sub-classing
    • additional abstract property, integration_device_type_definition, required compared to base Task
• New function upsert_discovered_records() added to the integration module
  • Required for the DiscoverableIntegrationTask.run_discovery() method to upsert discovery records to Build - Discovery & Selection UI

Fixed

• Set minimum msal version required for the switch_api package to be installed.

0.2.0

Major overhaul done of the switch_api package. A complete replacement of the API used by the package was done.

Changed

• The user_id parameter has been removed from the switch_api.initialise() function.
  • Authentication of the user is now done via Switch Platform SSO. The call to initialise will trigger a web browser window to open to the platform login screen.
    • Note: each call to initialise for a portfolio in a different datacentre will open up browser and requires user to input their username & password.
    • for initialise on a different portfolio within the same datacentre, the authentication is cached so user will not be asked to login again.
• api_inputs is now a required parameter for the switch_api.pipeline.Automation.register_task()
• The deploy_on_timer(), deploy_as_email_data_feed(), deploy_as_upload_data_feed(), and deploy_as_ftp_data_feed() methods on the switch_api.pipeline.Automation class have an added parameter: data_feed_id
  • This new parameter allows user to update an existing deployment for the portfolio specified in the api_inputs.
  • If data_feed_id is not supplied, a new data feed instance will be created (even if portfolio already has that task deployed to it)

0.1.18

Changed

• removed rebuild of the ObjectProperties table in ADX on call to upsert_device_sensors()
• removed rebuild of the Installation table in ADX on call to upsert_sites()

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()