Source code for sdk.lusid.api.relational_datasets_api

# coding: utf-8

"""
    LUSID API

    FINBOURNE Technology  # noqa: E501

    Contact: info@finbourne.com
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""


import re  # noqa: F401
import io
import warnings

from pydantic.v1 import validate_arguments, ValidationError
from typing import overload, Optional, Union, Awaitable

from datetime import datetime
from pydantic.v1 import Field, StrictInt, StrictStr
from typing import Dict, Optional
from typing_extensions import Annotated
from lusid.models.batch_delete_relational_data_response import BatchDeleteRelationalDataResponse
from lusid.models.batch_upsert_relational_datasets_response import BatchUpsertRelationalDatasetsResponse
from lusid.models.delete_relational_data_point_request import DeleteRelationalDataPointRequest
from lusid.models.paged_resource_list_of_relational_data_point_response import PagedResourceListOfRelationalDataPointResponse
from lusid.models.query_relational_dataset_request import QueryRelationalDatasetRequest
from lusid.models.upsert_relational_data_point_request import UpsertRelationalDataPointRequest

from lusid.api_client import ApiClient
from lusid.api_response import ApiResponse
from lusid.exceptions import (  # noqa: F401
    ApiTypeError,
    ApiValueError
)
from lusid.extensions.configuration_options import ConfigurationOptions

# ensure templated type usages are imported
from pydantic.v1 import Field, StrictStr
from typing import Optional
from typing_extensions import Annotated

[docs] class RelationalDatasetsApi: """NOTE: This class is auto generated by OpenAPI Generator Ref: https://openapi-generator.tech Do not edit the class manually. """ def __init__(self, api_client=None) -> None: if api_client is None: api_client = ApiClient.get_default() self.api_client = api_client @overload async def batch_delete_relational_data(self, relational_dataset_definition_scope : Annotated[StrictStr, Field(..., description="The Scope of the relational dataset definition.")], relational_dataset_definition_code : Annotated[StrictStr, Field(..., description="The Code of the relational dataset definition.")], request_body : Annotated[Dict[str, DeleteRelationalDataPointRequest], Field(description="The Delete Request.")], success_mode : Annotated[Optional[StrictStr], Field( description="Whether the batch request should fail Atomically or in a Partial fashion - Allowed Values: Atomic, Partial. Note: If using partial failure modes, then it is important to check the response body for failures as any failures will still return a 200 status code.")] = None, **kwargs) -> BatchDeleteRelationalDataResponse: # noqa: E501 ... @overload def batch_delete_relational_data(self, relational_dataset_definition_scope : Annotated[StrictStr, Field(..., description="The Scope of the relational dataset definition.")], relational_dataset_definition_code : Annotated[StrictStr, Field(..., description="The Code of the relational dataset definition.")], request_body : Annotated[Dict[str, DeleteRelationalDataPointRequest], Field(description="The Delete Request.")], success_mode : Annotated[Optional[StrictStr], Field( description="Whether the batch request should fail Atomically or in a Partial fashion - Allowed Values: Atomic, Partial. Note: If using partial failure modes, then it is important to check the response body for failures as any failures will still return a 200 status code.")] = None, async_req: Optional[bool]=True, **kwargs) -> BatchDeleteRelationalDataResponse: # noqa: E501 ...
[docs] @validate_arguments def batch_delete_relational_data(self, relational_dataset_definition_scope : Annotated[StrictStr, Field(..., description="The Scope of the relational dataset definition.")], relational_dataset_definition_code : Annotated[StrictStr, Field(..., description="The Code of the relational dataset definition.")], request_body : Annotated[Dict[str, DeleteRelationalDataPointRequest], Field(description="The Delete Request.")], success_mode : Annotated[Optional[StrictStr], Field( description="Whether the batch request should fail Atomically or in a Partial fashion - Allowed Values: Atomic, Partial. Note: If using partial failure modes, then it is important to check the response body for failures as any failures will still return a 200 status code.")] = None, async_req: Optional[bool]=None, **kwargs) -> Union[BatchDeleteRelationalDataResponse, Awaitable[BatchDeleteRelationalDataResponse]]: # noqa: E501 """BatchDeleteRelationalData: Batch Delete Relational Data Points for a given Relational Dataset Definition. # noqa: E501 Batch Delete Relational Data Points for a given Relational Dataset Definition. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.batch_delete_relational_data(relational_dataset_definition_scope, relational_dataset_definition_code, request_body, success_mode, async_req=True) >>> result = thread.get() :param relational_dataset_definition_scope: The Scope of the relational dataset definition. (required) :type relational_dataset_definition_scope: str :param relational_dataset_definition_code: The Code of the relational dataset definition. (required) :type relational_dataset_definition_code: str :param request_body: The Delete Request. (required) :type request_body: Dict[str, DeleteRelationalDataPointRequest] :param success_mode: Whether the batch request should fail Atomically or in a Partial fashion - Allowed Values: Atomic, Partial. Note: If using partial failure modes, then it is important to check the response body for failures as any failures will still return a 200 status code. :type success_mode: str :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _request_timeout: Timeout setting. Do not use - use the opts parameter instead :param opts: Configuration options for this request :type opts: ConfigurationOptions, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: BatchDeleteRelationalDataResponse """ kwargs['_return_http_data_only'] = True if '_preload_content' in kwargs: message = "Error! Please call the batch_delete_relational_data_with_http_info method with `_preload_content` instead and obtain raw data from ApiResponse.raw_data" # noqa: E501 raise ValueError(message) if async_req is not None: kwargs['async_req'] = async_req return self.batch_delete_relational_data_with_http_info(relational_dataset_definition_scope, relational_dataset_definition_code, request_body, success_mode, **kwargs) # noqa: E501
[docs] @validate_arguments def batch_delete_relational_data_with_http_info(self, relational_dataset_definition_scope : Annotated[StrictStr, Field(..., description="The Scope of the relational dataset definition.")], relational_dataset_definition_code : Annotated[StrictStr, Field(..., description="The Code of the relational dataset definition.")], request_body : Annotated[Dict[str, DeleteRelationalDataPointRequest], Field(description="The Delete Request.")], success_mode : Annotated[Optional[StrictStr], Field( description="Whether the batch request should fail Atomically or in a Partial fashion - Allowed Values: Atomic, Partial. Note: If using partial failure modes, then it is important to check the response body for failures as any failures will still return a 200 status code.")] = None, **kwargs) -> ApiResponse: # noqa: E501 """BatchDeleteRelationalData: Batch Delete Relational Data Points for a given Relational Dataset Definition. # noqa: E501 Batch Delete Relational Data Points for a given Relational Dataset Definition. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.batch_delete_relational_data_with_http_info(relational_dataset_definition_scope, relational_dataset_definition_code, request_body, success_mode, async_req=True) >>> result = thread.get() :param relational_dataset_definition_scope: The Scope of the relational dataset definition. (required) :type relational_dataset_definition_scope: str :param relational_dataset_definition_code: The Code of the relational dataset definition. (required) :type relational_dataset_definition_code: str :param request_body: The Delete Request. (required) :type request_body: Dict[str, DeleteRelationalDataPointRequest] :param success_mode: Whether the batch request should fail Atomically or in a Partial fashion - Allowed Values: Atomic, Partial. Note: If using partial failure modes, then it is important to check the response body for failures as any failures will still return a 200 status code. :type success_mode: str :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the ApiResponse.data will be set to none and raw_data will store the HTTP response body without reading/decoding. Default is True. :type _preload_content: bool, optional :param _return_http_data_only: response data instead of ApiResponse object with status code, headers, etc :type _return_http_data_only: bool, optional :param _request_timeout: Timeout setting. Do not use - use the opts parameter instead :param opts: Configuration options for this request :type opts: ConfigurationOptions, optional :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :type _content_type: string, optional: force content-type for the request :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(BatchDeleteRelationalDataResponse, status_code(int), headers(HTTPHeaderDict)) """ _params = locals() _all_params = [ 'relational_dataset_definition_scope', 'relational_dataset_definition_code', 'request_body', 'success_mode' ] _all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth', '_content_type', '_headers', 'opts' ] ) # validate the arguments for _key, _val in _params['kwargs'].items(): if _key not in _all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method batch_delete_relational_data" % _key ) _params[_key] = _val del _params['kwargs'] _collection_formats = {} # process the path parameters _path_params = {} if _params['relational_dataset_definition_scope']: _path_params['relationalDatasetDefinitionScope'] = _params['relational_dataset_definition_scope'] if _params['relational_dataset_definition_code']: _path_params['relationalDatasetDefinitionCode'] = _params['relational_dataset_definition_code'] # process the query parameters _query_params = [] if _params.get('success_mode') is not None: # noqa: E501 _query_params.append(('successMode', _params['success_mode'])) # process the header parameters _header_params = dict(_params.get('_headers', {})) # process the form parameters _form_params = [] _files = {} # process the body parameter _body_params = None if _params['request_body'] is not None: _body_params = _params['request_body'] # set the HTTP header `Accept` _header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # set the HTTP header `Content-Type` _content_types_list = _params.get('_content_type', self.api_client.select_header_content_type( ['application/json-patch+json', 'application/json', 'text/json', 'application/*+json'])) if _content_types_list: _header_params['Content-Type'] = _content_types_list # authentication setting _auth_settings = ['oauth2'] # noqa: E501 _response_types_map = { '200': "BatchDeleteRelationalDataResponse", '400': "LusidValidationProblemDetails", } return self.api_client.call_api( '/api/relationaldatasets/{relationalDatasetDefinitionScope}/{relationalDatasetDefinitionCode}/$batchDelete', 'POST', _path_params, _query_params, _header_params, body=_body_params, post_params=_form_params, files=_files, response_types_map=_response_types_map, auth_settings=_auth_settings, async_req=_params.get('async_req'), _return_http_data_only=_params.get('_return_http_data_only'), # noqa: E501 _preload_content=_params.get('_preload_content', True), _request_timeout=_params.get('_request_timeout'), opts=_params.get('opts'), collection_formats=_collection_formats, _request_auth=_params.get('_request_auth'))
@overload async def batch_upsert_relational_data(self, relational_dataset_definition_scope : Annotated[StrictStr, Field(..., description="The Scope of the relational dataset definition.")], relational_dataset_definition_code : Annotated[StrictStr, Field(..., description="The Code of the relational dataset definition.")], request_body : Annotated[Dict[str, UpsertRelationalDataPointRequest], Field(description="The DataPoints to upsert.")], success_mode : Annotated[Optional[StrictStr], Field( description="Whether the batch request should fail Atomically or in a Partial fashion - Allowed Values: Atomic, Partial. Note: If using partial failure modes, then it is important to check the response body for failures as any failures will still return a 200 status code.")] = None, **kwargs) -> BatchUpsertRelationalDatasetsResponse: # noqa: E501 ... @overload def batch_upsert_relational_data(self, relational_dataset_definition_scope : Annotated[StrictStr, Field(..., description="The Scope of the relational dataset definition.")], relational_dataset_definition_code : Annotated[StrictStr, Field(..., description="The Code of the relational dataset definition.")], request_body : Annotated[Dict[str, UpsertRelationalDataPointRequest], Field(description="The DataPoints to upsert.")], success_mode : Annotated[Optional[StrictStr], Field( description="Whether the batch request should fail Atomically or in a Partial fashion - Allowed Values: Atomic, Partial. Note: If using partial failure modes, then it is important to check the response body for failures as any failures will still return a 200 status code.")] = None, async_req: Optional[bool]=True, **kwargs) -> BatchUpsertRelationalDatasetsResponse: # noqa: E501 ...
[docs] @validate_arguments def batch_upsert_relational_data(self, relational_dataset_definition_scope : Annotated[StrictStr, Field(..., description="The Scope of the relational dataset definition.")], relational_dataset_definition_code : Annotated[StrictStr, Field(..., description="The Code of the relational dataset definition.")], request_body : Annotated[Dict[str, UpsertRelationalDataPointRequest], Field(description="The DataPoints to upsert.")], success_mode : Annotated[Optional[StrictStr], Field( description="Whether the batch request should fail Atomically or in a Partial fashion - Allowed Values: Atomic, Partial. Note: If using partial failure modes, then it is important to check the response body for failures as any failures will still return a 200 status code.")] = None, async_req: Optional[bool]=None, **kwargs) -> Union[BatchUpsertRelationalDatasetsResponse, Awaitable[BatchUpsertRelationalDatasetsResponse]]: # noqa: E501 """BatchUpsertRelationalData: Batch Upsert Relational Data Points for a given Relational Dataset Definition. # noqa: E501 Batch Upsert Relational Data Points for a given Relational Dataset Definition. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.batch_upsert_relational_data(relational_dataset_definition_scope, relational_dataset_definition_code, request_body, success_mode, async_req=True) >>> result = thread.get() :param relational_dataset_definition_scope: The Scope of the relational dataset definition. (required) :type relational_dataset_definition_scope: str :param relational_dataset_definition_code: The Code of the relational dataset definition. (required) :type relational_dataset_definition_code: str :param request_body: The DataPoints to upsert. (required) :type request_body: Dict[str, UpsertRelationalDataPointRequest] :param success_mode: Whether the batch request should fail Atomically or in a Partial fashion - Allowed Values: Atomic, Partial. Note: If using partial failure modes, then it is important to check the response body for failures as any failures will still return a 200 status code. :type success_mode: str :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _request_timeout: Timeout setting. Do not use - use the opts parameter instead :param opts: Configuration options for this request :type opts: ConfigurationOptions, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: BatchUpsertRelationalDatasetsResponse """ kwargs['_return_http_data_only'] = True if '_preload_content' in kwargs: message = "Error! Please call the batch_upsert_relational_data_with_http_info method with `_preload_content` instead and obtain raw data from ApiResponse.raw_data" # noqa: E501 raise ValueError(message) if async_req is not None: kwargs['async_req'] = async_req return self.batch_upsert_relational_data_with_http_info(relational_dataset_definition_scope, relational_dataset_definition_code, request_body, success_mode, **kwargs) # noqa: E501
[docs] @validate_arguments def batch_upsert_relational_data_with_http_info(self, relational_dataset_definition_scope : Annotated[StrictStr, Field(..., description="The Scope of the relational dataset definition.")], relational_dataset_definition_code : Annotated[StrictStr, Field(..., description="The Code of the relational dataset definition.")], request_body : Annotated[Dict[str, UpsertRelationalDataPointRequest], Field(description="The DataPoints to upsert.")], success_mode : Annotated[Optional[StrictStr], Field( description="Whether the batch request should fail Atomically or in a Partial fashion - Allowed Values: Atomic, Partial. Note: If using partial failure modes, then it is important to check the response body for failures as any failures will still return a 200 status code.")] = None, **kwargs) -> ApiResponse: # noqa: E501 """BatchUpsertRelationalData: Batch Upsert Relational Data Points for a given Relational Dataset Definition. # noqa: E501 Batch Upsert Relational Data Points for a given Relational Dataset Definition. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.batch_upsert_relational_data_with_http_info(relational_dataset_definition_scope, relational_dataset_definition_code, request_body, success_mode, async_req=True) >>> result = thread.get() :param relational_dataset_definition_scope: The Scope of the relational dataset definition. (required) :type relational_dataset_definition_scope: str :param relational_dataset_definition_code: The Code of the relational dataset definition. (required) :type relational_dataset_definition_code: str :param request_body: The DataPoints to upsert. (required) :type request_body: Dict[str, UpsertRelationalDataPointRequest] :param success_mode: Whether the batch request should fail Atomically or in a Partial fashion - Allowed Values: Atomic, Partial. Note: If using partial failure modes, then it is important to check the response body for failures as any failures will still return a 200 status code. :type success_mode: str :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the ApiResponse.data will be set to none and raw_data will store the HTTP response body without reading/decoding. Default is True. :type _preload_content: bool, optional :param _return_http_data_only: response data instead of ApiResponse object with status code, headers, etc :type _return_http_data_only: bool, optional :param _request_timeout: Timeout setting. Do not use - use the opts parameter instead :param opts: Configuration options for this request :type opts: ConfigurationOptions, optional :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :type _content_type: string, optional: force content-type for the request :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(BatchUpsertRelationalDatasetsResponse, status_code(int), headers(HTTPHeaderDict)) """ _params = locals() _all_params = [ 'relational_dataset_definition_scope', 'relational_dataset_definition_code', 'request_body', 'success_mode' ] _all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth', '_content_type', '_headers', 'opts' ] ) # validate the arguments for _key, _val in _params['kwargs'].items(): if _key not in _all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method batch_upsert_relational_data" % _key ) _params[_key] = _val del _params['kwargs'] _collection_formats = {} # process the path parameters _path_params = {} if _params['relational_dataset_definition_scope']: _path_params['relationalDatasetDefinitionScope'] = _params['relational_dataset_definition_scope'] if _params['relational_dataset_definition_code']: _path_params['relationalDatasetDefinitionCode'] = _params['relational_dataset_definition_code'] # process the query parameters _query_params = [] if _params.get('success_mode') is not None: # noqa: E501 _query_params.append(('successMode', _params['success_mode'])) # process the header parameters _header_params = dict(_params.get('_headers', {})) # process the form parameters _form_params = [] _files = {} # process the body parameter _body_params = None if _params['request_body'] is not None: _body_params = _params['request_body'] # set the HTTP header `Accept` _header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # set the HTTP header `Content-Type` _content_types_list = _params.get('_content_type', self.api_client.select_header_content_type( ['application/json-patch+json', 'application/json', 'text/json', 'application/*+json'])) if _content_types_list: _header_params['Content-Type'] = _content_types_list # authentication setting _auth_settings = ['oauth2'] # noqa: E501 _response_types_map = { '200': "BatchUpsertRelationalDatasetsResponse", '400': "LusidValidationProblemDetails", } return self.api_client.call_api( '/api/relationaldatasets/{relationalDatasetDefinitionScope}/{relationalDatasetDefinitionCode}/$batchUpsert', 'POST', _path_params, _query_params, _header_params, body=_body_params, post_params=_form_params, files=_files, response_types_map=_response_types_map, auth_settings=_auth_settings, async_req=_params.get('async_req'), _return_http_data_only=_params.get('_return_http_data_only'), # noqa: E501 _preload_content=_params.get('_preload_content', True), _request_timeout=_params.get('_request_timeout'), opts=_params.get('opts'), collection_formats=_collection_formats, _request_auth=_params.get('_request_auth'))
@overload async def query_relational_data(self, relational_dataset_definition_scope : Annotated[StrictStr, Field(..., description="The Scope of the relational dataset definition.")], relational_dataset_definition_code : Annotated[StrictStr, Field(..., description="The Code of the relational dataset definition.")], as_at : Annotated[Optional[datetime], Field(description="The asAt datetime at which to retrieve the dataset(s). Defaults to returning the latest version of each dataset if not specified.")] = None, effective_at : Annotated[Optional[StrictStr], Field( description="The effective datetime or cut label at which to query the datasets. Defaults to the current LUSID system datetime if not specified.")] = None, page : Annotated[Optional[StrictStr], Field( description="The pagination token to use to continue query datasets. This value is returned from the previous call. If a pagination token is provided, the filter, customSortBy, effectiveAt and asAt fields must not have changed since the original request.")] = None, limit : Annotated[Optional[StrictInt], Field(description="When paginating, limit the results to this number. Defaults to 100 if not specified.")] = None, query_relational_dataset_request : Annotated[Optional[QueryRelationalDatasetRequest], Field(description="The query request.")] = None, **kwargs) -> PagedResourceListOfRelationalDataPointResponse: # noqa: E501 ... @overload def query_relational_data(self, relational_dataset_definition_scope : Annotated[StrictStr, Field(..., description="The Scope of the relational dataset definition.")], relational_dataset_definition_code : Annotated[StrictStr, Field(..., description="The Code of the relational dataset definition.")], as_at : Annotated[Optional[datetime], Field(description="The asAt datetime at which to retrieve the dataset(s). Defaults to returning the latest version of each dataset if not specified.")] = None, effective_at : Annotated[Optional[StrictStr], Field( description="The effective datetime or cut label at which to query the datasets. Defaults to the current LUSID system datetime if not specified.")] = None, page : Annotated[Optional[StrictStr], Field( description="The pagination token to use to continue query datasets. This value is returned from the previous call. If a pagination token is provided, the filter, customSortBy, effectiveAt and asAt fields must not have changed since the original request.")] = None, limit : Annotated[Optional[StrictInt], Field(description="When paginating, limit the results to this number. Defaults to 100 if not specified.")] = None, query_relational_dataset_request : Annotated[Optional[QueryRelationalDatasetRequest], Field(description="The query request.")] = None, async_req: Optional[bool]=True, **kwargs) -> PagedResourceListOfRelationalDataPointResponse: # noqa: E501 ...
[docs] @validate_arguments def query_relational_data(self, relational_dataset_definition_scope : Annotated[StrictStr, Field(..., description="The Scope of the relational dataset definition.")], relational_dataset_definition_code : Annotated[StrictStr, Field(..., description="The Code of the relational dataset definition.")], as_at : Annotated[Optional[datetime], Field(description="The asAt datetime at which to retrieve the dataset(s). Defaults to returning the latest version of each dataset if not specified.")] = None, effective_at : Annotated[Optional[StrictStr], Field( description="The effective datetime or cut label at which to query the datasets. Defaults to the current LUSID system datetime if not specified.")] = None, page : Annotated[Optional[StrictStr], Field( description="The pagination token to use to continue query datasets. This value is returned from the previous call. If a pagination token is provided, the filter, customSortBy, effectiveAt and asAt fields must not have changed since the original request.")] = None, limit : Annotated[Optional[StrictInt], Field(description="When paginating, limit the results to this number. Defaults to 100 if not specified.")] = None, query_relational_dataset_request : Annotated[Optional[QueryRelationalDatasetRequest], Field(description="The query request.")] = None, async_req: Optional[bool]=None, **kwargs) -> Union[PagedResourceListOfRelationalDataPointResponse, Awaitable[PagedResourceListOfRelationalDataPointResponse]]: # noqa: E501 """QueryRelationalData: Query Relational Data Points for a given Relational Dataset Definition. # noqa: E501 Query Relational Data Points for a given Relational Dataset Definition. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.query_relational_data(relational_dataset_definition_scope, relational_dataset_definition_code, as_at, effective_at, page, limit, query_relational_dataset_request, async_req=True) >>> result = thread.get() :param relational_dataset_definition_scope: The Scope of the relational dataset definition. (required) :type relational_dataset_definition_scope: str :param relational_dataset_definition_code: The Code of the relational dataset definition. (required) :type relational_dataset_definition_code: str :param as_at: The asAt datetime at which to retrieve the dataset(s). Defaults to returning the latest version of each dataset if not specified. :type as_at: datetime :param effective_at: The effective datetime or cut label at which to query the datasets. Defaults to the current LUSID system datetime if not specified. :type effective_at: str :param page: The pagination token to use to continue query datasets. This value is returned from the previous call. If a pagination token is provided, the filter, customSortBy, effectiveAt and asAt fields must not have changed since the original request. :type page: str :param limit: When paginating, limit the results to this number. Defaults to 100 if not specified. :type limit: int :param query_relational_dataset_request: The query request. :type query_relational_dataset_request: QueryRelationalDatasetRequest :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _request_timeout: Timeout setting. Do not use - use the opts parameter instead :param opts: Configuration options for this request :type opts: ConfigurationOptions, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: PagedResourceListOfRelationalDataPointResponse """ kwargs['_return_http_data_only'] = True if '_preload_content' in kwargs: message = "Error! Please call the query_relational_data_with_http_info method with `_preload_content` instead and obtain raw data from ApiResponse.raw_data" # noqa: E501 raise ValueError(message) if async_req is not None: kwargs['async_req'] = async_req return self.query_relational_data_with_http_info(relational_dataset_definition_scope, relational_dataset_definition_code, as_at, effective_at, page, limit, query_relational_dataset_request, **kwargs) # noqa: E501
[docs] @validate_arguments def query_relational_data_with_http_info(self, relational_dataset_definition_scope : Annotated[StrictStr, Field(..., description="The Scope of the relational dataset definition.")], relational_dataset_definition_code : Annotated[StrictStr, Field(..., description="The Code of the relational dataset definition.")], as_at : Annotated[Optional[datetime], Field(description="The asAt datetime at which to retrieve the dataset(s). Defaults to returning the latest version of each dataset if not specified.")] = None, effective_at : Annotated[Optional[StrictStr], Field( description="The effective datetime or cut label at which to query the datasets. Defaults to the current LUSID system datetime if not specified.")] = None, page : Annotated[Optional[StrictStr], Field( description="The pagination token to use to continue query datasets. This value is returned from the previous call. If a pagination token is provided, the filter, customSortBy, effectiveAt and asAt fields must not have changed since the original request.")] = None, limit : Annotated[Optional[StrictInt], Field(description="When paginating, limit the results to this number. Defaults to 100 if not specified.")] = None, query_relational_dataset_request : Annotated[Optional[QueryRelationalDatasetRequest], Field(description="The query request.")] = None, **kwargs) -> ApiResponse: # noqa: E501 """QueryRelationalData: Query Relational Data Points for a given Relational Dataset Definition. # noqa: E501 Query Relational Data Points for a given Relational Dataset Definition. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.query_relational_data_with_http_info(relational_dataset_definition_scope, relational_dataset_definition_code, as_at, effective_at, page, limit, query_relational_dataset_request, async_req=True) >>> result = thread.get() :param relational_dataset_definition_scope: The Scope of the relational dataset definition. (required) :type relational_dataset_definition_scope: str :param relational_dataset_definition_code: The Code of the relational dataset definition. (required) :type relational_dataset_definition_code: str :param as_at: The asAt datetime at which to retrieve the dataset(s). Defaults to returning the latest version of each dataset if not specified. :type as_at: datetime :param effective_at: The effective datetime or cut label at which to query the datasets. Defaults to the current LUSID system datetime if not specified. :type effective_at: str :param page: The pagination token to use to continue query datasets. This value is returned from the previous call. If a pagination token is provided, the filter, customSortBy, effectiveAt and asAt fields must not have changed since the original request. :type page: str :param limit: When paginating, limit the results to this number. Defaults to 100 if not specified. :type limit: int :param query_relational_dataset_request: The query request. :type query_relational_dataset_request: QueryRelationalDatasetRequest :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the ApiResponse.data will be set to none and raw_data will store the HTTP response body without reading/decoding. Default is True. :type _preload_content: bool, optional :param _return_http_data_only: response data instead of ApiResponse object with status code, headers, etc :type _return_http_data_only: bool, optional :param _request_timeout: Timeout setting. Do not use - use the opts parameter instead :param opts: Configuration options for this request :type opts: ConfigurationOptions, optional :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :type _content_type: string, optional: force content-type for the request :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(PagedResourceListOfRelationalDataPointResponse, status_code(int), headers(HTTPHeaderDict)) """ _params = locals() _all_params = [ 'relational_dataset_definition_scope', 'relational_dataset_definition_code', 'as_at', 'effective_at', 'page', 'limit', 'query_relational_dataset_request' ] _all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth', '_content_type', '_headers', 'opts' ] ) # validate the arguments for _key, _val in _params['kwargs'].items(): if _key not in _all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method query_relational_data" % _key ) _params[_key] = _val del _params['kwargs'] _collection_formats = {} # process the path parameters _path_params = {} if _params['relational_dataset_definition_scope']: _path_params['relationalDatasetDefinitionScope'] = _params['relational_dataset_definition_scope'] if _params['relational_dataset_definition_code']: _path_params['relationalDatasetDefinitionCode'] = _params['relational_dataset_definition_code'] # process the query parameters _query_params = [] if _params.get('as_at') is not None: # noqa: E501 if isinstance(_params['as_at'], datetime): _query_params.append(('asAt', _params['as_at'].strftime(self.api_client.configuration.datetime_format))) else: _query_params.append(('asAt', _params['as_at'])) if _params.get('effective_at') is not None: # noqa: E501 _query_params.append(('effectiveAt', _params['effective_at'])) if _params.get('page') is not None: # noqa: E501 _query_params.append(('page', _params['page'])) if _params.get('limit') is not None: # noqa: E501 _query_params.append(('limit', _params['limit'])) # process the header parameters _header_params = dict(_params.get('_headers', {})) # process the form parameters _form_params = [] _files = {} # process the body parameter _body_params = None if _params['query_relational_dataset_request'] is not None: _body_params = _params['query_relational_dataset_request'] # set the HTTP header `Accept` _header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # set the HTTP header `Content-Type` _content_types_list = _params.get('_content_type', self.api_client.select_header_content_type( ['application/json-patch+json', 'application/json', 'text/json', 'application/*+json'])) if _content_types_list: _header_params['Content-Type'] = _content_types_list # authentication setting _auth_settings = ['oauth2'] # noqa: E501 _response_types_map = { '200': "PagedResourceListOfRelationalDataPointResponse", '400': "LusidValidationProblemDetails", } return self.api_client.call_api( '/api/relationaldatasets/{relationalDatasetDefinitionScope}/{relationalDatasetDefinitionCode}/$query', 'POST', _path_params, _query_params, _header_params, body=_body_params, post_params=_form_params, files=_files, response_types_map=_response_types_map, auth_settings=_auth_settings, async_req=_params.get('async_req'), _return_http_data_only=_params.get('_return_http_data_only'), # noqa: E501 _preload_content=_params.get('_preload_content', True), _request_timeout=_params.get('_request_timeout'), opts=_params.get('opts'), collection_formats=_collection_formats, _request_auth=_params.get('_request_auth'))