airflow.providers.amazon.aws.operators.appflow

Module Contents

Classes

AppflowBaseOperator

Amazon Appflow Base Operator class (not supposed to be used directly in DAGs).

AppflowRunOperator

Execute a Appflow run with filters as is.

AppflowRunFullOperator

Execute a Appflow full run removing any filter.

AppflowRunBeforeOperator

Execute a Appflow run after updating the filters to select only previous data.

AppflowRunAfterOperator

Execute a Appflow run after updating the filters to select only future data.

AppflowRunDailyOperator

Execute a Appflow run after updating the filters to select only a single day.

AppflowRecordsShortCircuitOperator

Short-circuit in case of a empty Appflow's run.

Attributes

SUPPORTED_SOURCES

MANDATORY_FILTER_DATE_MSG

NOT_SUPPORTED_SOURCE_MSG

airflow.providers.amazon.aws.operators.appflow.SUPPORTED_SOURCES[source]
airflow.providers.amazon.aws.operators.appflow.MANDATORY_FILTER_DATE_MSG = The filter_date argument is mandatory for {entity}![source]
airflow.providers.amazon.aws.operators.appflow.NOT_SUPPORTED_SOURCE_MSG = Source {source} is not supported for {entity}![source]
class airflow.providers.amazon.aws.operators.appflow.AppflowBaseOperator(source, flow_name, flow_update, source_field=None, filter_date=None, poll_interval=20, aws_conn_id='aws_default', region=None, **kwargs)[source]

Bases: airflow.models.BaseOperator

Amazon Appflow Base Operator class (not supposed to be used directly in DAGs).

Parameters

  • source (str) – The source name (Supported: salesforce, zendesk)

  • flow_name (str) – The flow name

  • flow_update (bool) – A boolean to enable/disable a flow update before the run

  • source_field (Optional[str]) – The field name to apply filters

  • filter_date (Optional[str]) – The date value (or template) to be used in filters.

  • poll_interval (int) – how often in seconds to check the query status

  • aws_conn_id (str) – aws connection to use

  • region (Optional[str]) – aws region to use

ui_color = #2bccbd[source]
hook()[source]

Create and return an AppflowHook.

execute(context)[source]

This is the main method to derive when creating an operator. Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.amazon.aws.operators.appflow.AppflowRunOperator(source, flow_name, poll_interval=20, aws_conn_id='aws_default', region=None, **kwargs)[source]

Bases: AppflowBaseOperator

Execute a Appflow run with filters as is.

See also

For more information on how to use this operator, take a look at the guide: Run Flow Full

Parameters

  • source (str) – The source name (Supported: salesforce, zendesk)

  • flow_name (str) – The flow name

  • poll_interval (int) – how often in seconds to check the query status

  • aws_conn_id (str) – aws connection to use

  • region (Optional[str]) – aws region to use

class airflow.providers.amazon.aws.operators.appflow.AppflowRunFullOperator(source, flow_name, poll_interval=20, aws_conn_id='aws_default', region=None, **kwargs)[source]

Bases: AppflowBaseOperator

Execute a Appflow full run removing any filter.

See also

For more information on how to use this operator, take a look at the guide: Run Flow Daily

Parameters

  • source (str) – The source name (Supported: salesforce, zendesk)

  • flow_name (str) – The flow name

  • poll_interval (int) – how often in seconds to check the query status

  • aws_conn_id (str) – aws connection to use

  • region (Optional[str]) – aws region to use

class airflow.providers.amazon.aws.operators.appflow.AppflowRunBeforeOperator(source, flow_name, source_field, filter_date, poll_interval=20, aws_conn_id='aws_default', region=None, **kwargs)[source]

Bases: AppflowBaseOperator

Execute a Appflow run after updating the filters to select only previous data.

See also

For more information on how to use this operator, take a look at the guide: Run Flow After

Parameters

  • source (str) – The source name (Supported: salesforce)

  • flow_name (str) – The flow name

  • source_field (str) – The field name to apply filters

  • filter_date (str) – The date value (or template) to be used in filters.

  • poll_interval (int) – how often in seconds to check the query status

  • aws_conn_id (str) – aws connection to use

  • region (Optional[str]) – aws region to use

template_fields = ['filter_date'][source]
class airflow.providers.amazon.aws.operators.appflow.AppflowRunAfterOperator(source, flow_name, source_field, filter_date, poll_interval=20, aws_conn_id='aws_default', region=None, **kwargs)[source]

Bases: AppflowBaseOperator

Execute a Appflow run after updating the filters to select only future data.

See also

For more information on how to use this operator, take a look at the guide: Skipping Tasks For Empty Runs

Parameters

  • source (str) – The source name (Supported: salesforce, zendesk)

  • flow_name (str) – The flow name

  • source_field (str) – The field name to apply filters

  • filter_date (str) – The date value (or template) to be used in filters.

  • poll_interval (int) – how often in seconds to check the query status

  • aws_conn_id (str) – aws connection to use

  • region (Optional[str]) – aws region to use

template_fields = ['filter_date'][source]
class airflow.providers.amazon.aws.operators.appflow.AppflowRunDailyOperator(source, flow_name, source_field, filter_date, poll_interval=20, aws_conn_id='aws_default', region=None, **kwargs)[source]

Bases: AppflowBaseOperator

Execute a Appflow run after updating the filters to select only a single day.

See also

For more information on how to use this operator, take a look at the guide: Run Flow Before

Parameters

  • source (str) – The source name (Supported: salesforce)

  • flow_name (str) – The flow name

  • source_field (str) – The field name to apply filters

  • filter_date (str) – The date value (or template) to be used in filters.

  • poll_interval (int) – how often in seconds to check the query status

  • aws_conn_id (str) – aws connection to use

  • region (Optional[str]) – aws region to use

template_fields = ['filter_date'][source]
class airflow.providers.amazon.aws.operators.appflow.AppflowRecordsShortCircuitOperator(*, flow_name, appflow_run_task_id, ignore_downstream_trigger_rules=True, aws_conn_id='aws_default', region=None, **kwargs)[source]

Bases: airflow.operators.python.ShortCircuitOperator

Short-circuit in case of a empty Appflow’s run.

See also

For more information on how to use this operator, take a look at the guide: Reference

Parameters

  • flow_name (str) – The flow name

  • appflow_run_task_id (str) – Run task ID from where this operator should extract the execution ID

  • ignore_downstream_trigger_rules (bool) – Ignore downstream trigger rules (Ignored for Airflow < 2.3)

  • aws_conn_id (str) – aws connection to use

  • region (Optional[str]) – aws region to use

ui_color = #33ffec[source]
hook()[source]

Create and return an AppflowHook.

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