# pylint: disable=too-many-lines
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
from typing import Any, Callable, Dict, Iterable, Optional, TypeVar, Union, cast

from azure.core.exceptions import (
    ClientAuthenticationError,
    HttpResponseError,
    ResourceExistsError,
    ResourceNotFoundError,
    ResourceNotModifiedError,
    map_error,
)
from azure.core.paging import ItemPaged
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport import HttpResponse
from azure.core.polling import LROPoller, NoPolling, PollingMethod
from azure.core.polling.base_polling import LROBasePolling
from azure.core.rest import HttpRequest
from azure.core.tracing.decorator import distributed_trace
from azure.core.utils import case_insensitive_dict

from .. import models as _models
from .._serialization import Serializer
from .._vendor import _convert_request

T = TypeVar("T")
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]]

_SERIALIZER = Serializer()
_SERIALIZER.client_side_validation = False


def build_create_or_update_data_flow_request(
    data_flow_name: str, *, if_match: Optional[str] = None, **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01"))
    content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop("template_url", "/dataflows/{dataFlowName}")
    path_format_arguments = {
        "dataFlowName": _SERIALIZER.url(
            "data_flow_name",
            data_flow_name,
            "str",
            max_length=260,
            min_length=1,
            pattern=r"^[A-Za-z0-9_][^<>*#.%&:\\+?/]*$",
        ),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    if if_match is not None:
        _headers["If-Match"] = _SERIALIZER.header("if_match", if_match, "str")
    if content_type is not None:
        _headers["Content-Type"] = _SERIALIZER.header("content_type", content_type, "str")
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="PUT", url=_url, params=_params, headers=_headers, **kwargs)


def build_get_data_flow_request(
    data_flow_name: str, *, if_none_match: Optional[str] = None, **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01"))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop("template_url", "/dataflows/{dataFlowName}")
    path_format_arguments = {
        "dataFlowName": _SERIALIZER.url(
            "data_flow_name",
            data_flow_name,
            "str",
            max_length=260,
            min_length=1,
            pattern=r"^[A-Za-z0-9_][^<>*#.%&:\\+?/]*$",
        ),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    if if_none_match is not None:
        _headers["If-None-Match"] = _SERIALIZER.header("if_none_match", if_none_match, "str")
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="GET", url=_url, params=_params, headers=_headers, **kwargs)


def build_delete_data_flow_request(data_flow_name: str, **kwargs: Any) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01"))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop("template_url", "/dataflows/{dataFlowName}")
    path_format_arguments = {
        "dataFlowName": _SERIALIZER.url(
            "data_flow_name",
            data_flow_name,
            "str",
            max_length=260,
            min_length=1,
            pattern=r"^[A-Za-z0-9_][^<>*#.%&:\\+?/]*$",
        ),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="DELETE", url=_url, params=_params, headers=_headers, **kwargs)


def build_rename_data_flow_request(data_flow_name: str, **kwargs: Any) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01"))
    content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop("template_url", "/dataflows/{dataFlowName}/rename")
    path_format_arguments = {
        "dataFlowName": _SERIALIZER.url(
            "data_flow_name",
            data_flow_name,
            "str",
            max_length=260,
            min_length=1,
            pattern=r"^[A-Za-z0-9_][^<>*#.%&:\\+?/]*$",
        ),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    if content_type is not None:
        _headers["Content-Type"] = _SERIALIZER.header("content_type", content_type, "str")
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="POST", url=_url, params=_params, headers=_headers, **kwargs)


def build_get_data_flows_by_workspace_request(**kwargs: Any) -> HttpRequest:  # pylint: disable=name-too-long
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01"))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop("template_url", "/dataflows")

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="GET", url=_url, params=_params, headers=_headers, **kwargs)


class DataFlowOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.synapse.artifacts.ArtifactsClient`'s
        :attr:`data_flow` attribute.
    """

    models = _models

    def __init__(self, *args, **kwargs):
        input_args = list(args)
        self._client = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config = input_args.pop(0) if input_args else kwargs.pop("config")
        self._serialize = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    def _create_or_update_data_flow_initial(
        self, data_flow_name: str, properties: _models.DataFlow, if_match: Optional[str] = None, **kwargs: Any
    ) -> Optional[_models.DataFlowResource]:
        error_map = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

        api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01"))
        content_type: str = kwargs.pop("content_type", _headers.pop("Content-Type", "application/json"))
        cls: ClsType[Optional[_models.DataFlowResource]] = kwargs.pop("cls", None)

        _data_flow = _models.DataFlowResource(properties=properties)
        _json = self._serialize.body(_data_flow, "DataFlowResource")

        _request = build_create_or_update_data_flow_request(
            data_flow_name=data_flow_name,
            if_match=if_match,
            api_version=api_version,
            content_type=content_type,
            json=_json,
            headers=_headers,
            params=_params,
        )
        _request = _convert_request(_request)
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _stream = False
        pipeline_response: PipelineResponse = self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response)

        deserialized = None
        if response.status_code == 200:
            deserialized = self._deserialize("DataFlowResource", pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace
    def begin_create_or_update_data_flow(
        self, data_flow_name: str, properties: _models.DataFlow, if_match: Optional[str] = None, **kwargs: Any
    ) -> LROPoller[_models.DataFlowResource]:
        """Creates or updates a data flow.

        :param data_flow_name: The data flow name. Required.
        :type data_flow_name: str
        :param properties: Data flow properties. Required.
        :type properties: ~azure.synapse.artifacts.models.DataFlow
        :param if_match: ETag of the data flow entity. Should only be specified for update, for which
         it should match existing entity or can be * for unconditional update. Default value is None.
        :type if_match: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
        :keyword polling: By default, your polling method will be LROBasePolling. Pass in False for
         this operation to not poll, or pass in your own initialized polling object for a personal
         polling strategy.
        :paramtype polling: bool or ~azure.core.polling.PollingMethod
        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no
         Retry-After header is present.
        :return: An instance of LROPoller that returns either DataFlowResource or the result of
         cls(response)
        :rtype: ~azure.core.polling.LROPoller[~azure.synapse.artifacts.models.DataFlowResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

        api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01"))
        content_type: str = kwargs.pop("content_type", _headers.pop("Content-Type", "application/json"))
        cls: ClsType[_models.DataFlowResource] = kwargs.pop("cls", None)
        polling: Union[bool, PollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = self._create_or_update_data_flow_initial(
                data_flow_name=data_flow_name,
                properties=properties,
                if_match=if_match,
                api_version=api_version,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            deserialized = self._deserialize("DataFlowResource", pipeline_response)
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: PollingMethod = cast(
                PollingMethod, LROBasePolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(PollingMethod, NoPolling())
        else:
            polling_method = polling
        if cont_token:
            return LROPoller.from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return LROPoller(self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def get_data_flow(
        self, data_flow_name: str, if_none_match: Optional[str] = None, **kwargs: Any
    ) -> _models.DataFlowResource:
        """Gets a data flow.

        :param data_flow_name: The data flow name. Required.
        :type data_flow_name: str
        :param if_none_match: ETag of the data flow entity. Should only be specified for get. If the
         ETag matches the existing entity tag, or if * was provided, then no content will be returned.
         Default value is None.
        :type if_none_match: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: DataFlowResource or the result of cls(response)
        :rtype: ~azure.synapse.artifacts.models.DataFlowResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

        api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01"))
        cls: ClsType[_models.DataFlowResource] = kwargs.pop("cls", None)

        _request = build_get_data_flow_request(
            data_flow_name=data_flow_name,
            if_none_match=if_none_match,
            api_version=api_version,
            headers=_headers,
            params=_params,
        )
        _request = _convert_request(_request)
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _stream = False
        pipeline_response: PipelineResponse = self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response)

        deserialized = self._deserialize("DataFlowResource", pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    def _delete_data_flow_initial(  # pylint: disable=inconsistent-return-statements
        self, data_flow_name: str, **kwargs: Any
    ) -> None:
        error_map = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

        api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01"))
        cls: ClsType[None] = kwargs.pop("cls", None)

        _request = build_delete_data_flow_request(
            data_flow_name=data_flow_name,
            api_version=api_version,
            headers=_headers,
            params=_params,
        )
        _request = _convert_request(_request)
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _stream = False
        pipeline_response: PipelineResponse = self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202, 204]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response)

        if cls:
            return cls(pipeline_response, None, {})  # type: ignore

    @distributed_trace
    def begin_delete_data_flow(self, data_flow_name: str, **kwargs: Any) -> LROPoller[None]:
        """Deletes a data flow.

        :param data_flow_name: The data flow name. Required.
        :type data_flow_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
        :keyword polling: By default, your polling method will be LROBasePolling. Pass in False for
         this operation to not poll, or pass in your own initialized polling object for a personal
         polling strategy.
        :paramtype polling: bool or ~azure.core.polling.PollingMethod
        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no
         Retry-After header is present.
        :return: An instance of LROPoller that returns either None or the result of cls(response)
        :rtype: ~azure.core.polling.LROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

        api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01"))
        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, PollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = self._delete_data_flow_initial(  # type: ignore
                data_flow_name=data_flow_name,
                api_version=api_version,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: PollingMethod = cast(
                PollingMethod, LROBasePolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(PollingMethod, NoPolling())
        else:
            polling_method = polling
        if cont_token:
            return LROPoller.from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return LROPoller(self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    def _rename_data_flow_initial(  # pylint: disable=inconsistent-return-statements
        self, data_flow_name: str, new_name: Optional[str] = None, **kwargs: Any
    ) -> None:
        error_map = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

        api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01"))
        content_type: str = kwargs.pop("content_type", _headers.pop("Content-Type", "application/json"))
        cls: ClsType[None] = kwargs.pop("cls", None)

        _request = _models.ArtifactRenameRequest(new_name=new_name)
        _json = self._serialize.body(_request, "ArtifactRenameRequest")

        _request = build_rename_data_flow_request(
            data_flow_name=data_flow_name,
            api_version=api_version,
            content_type=content_type,
            json=_json,
            headers=_headers,
            params=_params,
        )
        _request = _convert_request(_request)
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _stream = False
        pipeline_response: PipelineResponse = self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response)

        if cls:
            return cls(pipeline_response, None, {})  # type: ignore

    @distributed_trace
    def begin_rename_data_flow(
        self, data_flow_name: str, new_name: Optional[str] = None, **kwargs: Any
    ) -> LROPoller[None]:
        """Renames a dataflow.

        :param data_flow_name: The data flow name. Required.
        :type data_flow_name: str
        :param new_name: New name of the artifact. Default value is None.
        :type new_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
        :keyword polling: By default, your polling method will be LROBasePolling. Pass in False for
         this operation to not poll, or pass in your own initialized polling object for a personal
         polling strategy.
        :paramtype polling: bool or ~azure.core.polling.PollingMethod
        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no
         Retry-After header is present.
        :return: An instance of LROPoller that returns either None or the result of cls(response)
        :rtype: ~azure.core.polling.LROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

        api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01"))
        content_type: str = kwargs.pop("content_type", _headers.pop("Content-Type", "application/json"))
        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, PollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = self._rename_data_flow_initial(  # type: ignore
                data_flow_name=data_flow_name,
                new_name=new_name,
                api_version=api_version,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: PollingMethod = cast(
                PollingMethod, LROBasePolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(PollingMethod, NoPolling())
        else:
            polling_method = polling
        if cont_token:
            return LROPoller.from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return LROPoller(self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def get_data_flows_by_workspace(self, **kwargs: Any) -> Iterable["_models.DataFlowResource"]:
        """Lists data flows.

        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: An iterator like instance of either DataFlowResource or the result of cls(response)
        :rtype: ~azure.core.paging.ItemPaged[~azure.synapse.artifacts.models.DataFlowResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

        api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01"))
        cls: ClsType[_models.DataFlowListResponse] = kwargs.pop("cls", None)

        error_map = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_get_data_flows_by_workspace_request(
                    api_version=api_version,
                    headers=_headers,
                    params=_params,
                )
                _request = _convert_request(_request)
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.endpoint", self._config.endpoint, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                _request = HttpRequest("GET", next_link)
                _request = _convert_request(_request)
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.endpoint", self._config.endpoint, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)
                _request.method = "GET"
            return _request

        def extract_data(pipeline_response):
            deserialized = self._deserialize("DataFlowListResponse", pipeline_response)
            list_of_elem = deserialized.value
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.next_link or None, iter(list_of_elem)

        def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **kwargs
            )
            response = pipeline_response.http_response

            if response.status_code not in [200]:
                map_error(status_code=response.status_code, response=response, error_map=error_map)
                raise HttpResponseError(response=response)

            return pipeline_response

        return ItemPaged(get_next, extract_data)
