%% WARNING: DO NOT EDIT, AUTO-GENERATED CODE! %% See https://github.com/aws-beam/aws-codegen for more details. %% @doc AWS IoT Analytics allows you to collect large amounts of device data, %% process messages, and store them. %% %% You can then query the data and run sophisticated analytics on it. AWS IoT %% Analytics enables advanced data exploration through integration with %% Jupyter Notebooks and data visualization through integration with Amazon %% QuickSight. %% %% Traditional analytics and business intelligence tools are designed to %% process structured data. IoT data often comes from devices that record %% noisy processes (such as temperature, motion, or sound). As a result the %% data from these devices can have significant gaps, corrupted messages, and %% false readings that must be cleaned up before analysis can occur. Also, %% IoT data is often only meaningful in the context of other data from %% external sources. %% %% AWS IoT Analytics automates the steps required to analyze data from IoT %% devices. AWS IoT Analytics filters, transforms, and enriches IoT data %% before storing it in a time-series data store for analysis. You can set up %% the service to collect only the data you need from your devices, apply %% mathematical transforms to process the data, and enrich the data with %% device-specific metadata such as device type and location before storing %% it. Then, you can analyze your data by running queries using the built-in %% SQL query engine, or perform more complex analytics and machine learning %% inference. AWS IoT Analytics includes pre-built models for common IoT use %% cases so you can answer questions like which devices are about to fail or %% which customers are at risk of abandoning their wearable devices. -module(aws_iotanalytics). -export([batch_put_message/2, batch_put_message/3, cancel_pipeline_reprocessing/4, cancel_pipeline_reprocessing/5, create_channel/2, create_channel/3, create_dataset/2, create_dataset/3, create_dataset_content/3, create_dataset_content/4, create_datastore/2, create_datastore/3, create_pipeline/2, create_pipeline/3, delete_channel/3, delete_channel/4, delete_dataset/3, delete_dataset/4, delete_dataset_content/3, delete_dataset_content/4, delete_datastore/3, delete_datastore/4, delete_pipeline/3, delete_pipeline/4, describe_channel/2, describe_channel/4, describe_channel/5, describe_dataset/2, describe_dataset/4, describe_dataset/5, describe_datastore/2, describe_datastore/4, describe_datastore/5, describe_logging_options/1, describe_logging_options/3, describe_logging_options/4, describe_pipeline/2, describe_pipeline/4, describe_pipeline/5, get_dataset_content/2, get_dataset_content/4, get_dataset_content/5, list_channels/1, list_channels/3, list_channels/4, list_dataset_contents/2, list_dataset_contents/4, list_dataset_contents/5, list_datasets/1, list_datasets/3, list_datasets/4, list_datastores/1, list_datastores/3, list_datastores/4, list_pipelines/1, list_pipelines/3, list_pipelines/4, list_tags_for_resource/2, list_tags_for_resource/4, list_tags_for_resource/5, put_logging_options/2, put_logging_options/3, run_pipeline_activity/2, run_pipeline_activity/3, sample_channel_data/2, sample_channel_data/4, sample_channel_data/5, start_pipeline_reprocessing/3, start_pipeline_reprocessing/4, tag_resource/2, tag_resource/3, untag_resource/2, untag_resource/3, update_channel/3, update_channel/4, update_dataset/3, update_dataset/4, update_datastore/3, update_datastore/4, update_pipeline/3, update_pipeline/4]). -include_lib("hackney/include/hackney_lib.hrl"). %%==================================================================== %% API %%==================================================================== %% @doc Sends messages to a channel. batch_put_message(Client, Input) -> batch_put_message(Client, Input, []). batch_put_message(Client, Input0, Options0) -> Method = post, Path = ["/messages/batch"], SuccessStatusCode = 200, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Cancels the reprocessing of data through the pipeline. cancel_pipeline_reprocessing(Client, PipelineName, ReprocessingId, Input) -> cancel_pipeline_reprocessing(Client, PipelineName, ReprocessingId, Input, []). cancel_pipeline_reprocessing(Client, PipelineName, ReprocessingId, Input0, Options0) -> Method = delete, Path = ["/pipelines/", aws_util:encode_uri(PipelineName), "/reprocessing/", aws_util:encode_uri(ReprocessingId), ""], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Creates a channel. %% %% A channel collects data from an MQTT topic and archives the raw, %% unprocessed messages before publishing the data to a pipeline. create_channel(Client, Input) -> create_channel(Client, Input, []). create_channel(Client, Input0, Options0) -> Method = post, Path = ["/channels"], SuccessStatusCode = 201, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Creates a dataset. %% %% A dataset stores data retrieved from a data store by applying a %% `queryAction' (a SQL query) or a `containerAction' (executing a %% containerized application). This operation creates the skeleton of a %% dataset. The dataset can be populated manually by calling %% `CreateDatasetContent' or automatically according to a trigger you %% specify. create_dataset(Client, Input) -> create_dataset(Client, Input, []). create_dataset(Client, Input0, Options0) -> Method = post, Path = ["/datasets"], SuccessStatusCode = 201, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Creates the content of a data set by applying a `queryAction' (a SQL %% query) or a `containerAction' (executing a containerized application). create_dataset_content(Client, DatasetName, Input) -> create_dataset_content(Client, DatasetName, Input, []). create_dataset_content(Client, DatasetName, Input0, Options0) -> Method = post, Path = ["/datasets/", aws_util:encode_uri(DatasetName), "/content"], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Creates a data store, which is a repository for messages. create_datastore(Client, Input) -> create_datastore(Client, Input, []). create_datastore(Client, Input0, Options0) -> Method = post, Path = ["/datastores"], SuccessStatusCode = 201, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Creates a pipeline. %% %% A pipeline consumes messages from a channel and allows you to process the %% messages before storing them in a data store. You must specify both a %% `channel' and a `datastore' activity and, optionally, as many as 23 %% additional activities in the `pipelineActivities' array. create_pipeline(Client, Input) -> create_pipeline(Client, Input, []). create_pipeline(Client, Input0, Options0) -> Method = post, Path = ["/pipelines"], SuccessStatusCode = 201, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Deletes the specified channel. delete_channel(Client, ChannelName, Input) -> delete_channel(Client, ChannelName, Input, []). delete_channel(Client, ChannelName, Input0, Options0) -> Method = delete, Path = ["/channels/", aws_util:encode_uri(ChannelName), ""], SuccessStatusCode = 204, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Deletes the specified dataset. %% %% You do not have to delete the content of the dataset before you perform %% this operation. delete_dataset(Client, DatasetName, Input) -> delete_dataset(Client, DatasetName, Input, []). delete_dataset(Client, DatasetName, Input0, Options0) -> Method = delete, Path = ["/datasets/", aws_util:encode_uri(DatasetName), ""], SuccessStatusCode = 204, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Deletes the content of the specified dataset. delete_dataset_content(Client, DatasetName, Input) -> delete_dataset_content(Client, DatasetName, Input, []). delete_dataset_content(Client, DatasetName, Input0, Options0) -> Method = delete, Path = ["/datasets/", aws_util:encode_uri(DatasetName), "/content"], SuccessStatusCode = 204, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, QueryMapping = [ {<<"versionId">>, <<"versionId">>} ], {Query_, Input} = aws_request:build_headers(QueryMapping, Input2), request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Deletes the specified data store. delete_datastore(Client, DatastoreName, Input) -> delete_datastore(Client, DatastoreName, Input, []). delete_datastore(Client, DatastoreName, Input0, Options0) -> Method = delete, Path = ["/datastores/", aws_util:encode_uri(DatastoreName), ""], SuccessStatusCode = 204, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Deletes the specified pipeline. delete_pipeline(Client, PipelineName, Input) -> delete_pipeline(Client, PipelineName, Input, []). delete_pipeline(Client, PipelineName, Input0, Options0) -> Method = delete, Path = ["/pipelines/", aws_util:encode_uri(PipelineName), ""], SuccessStatusCode = 204, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Retrieves information about a channel. describe_channel(Client, ChannelName) when is_map(Client) -> describe_channel(Client, ChannelName, #{}, #{}). describe_channel(Client, ChannelName, QueryMap, HeadersMap) when is_map(Client), is_map(QueryMap), is_map(HeadersMap) -> describe_channel(Client, ChannelName, QueryMap, HeadersMap, []). describe_channel(Client, ChannelName, QueryMap, HeadersMap, Options0) when is_map(Client), is_map(QueryMap), is_map(HeadersMap), is_list(Options0) -> Path = ["/channels/", aws_util:encode_uri(ChannelName), ""], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Query0_ = [ {<<"includeStatistics">>, maps:get(<<"includeStatistics">>, QueryMap, undefined)} ], Query_ = [H || {_, V} = H <- Query0_, V =/= undefined], request(Client, get, Path, Query_, Headers, undefined, Options, SuccessStatusCode). %% @doc Retrieves information about a dataset. describe_dataset(Client, DatasetName) when is_map(Client) -> describe_dataset(Client, DatasetName, #{}, #{}). describe_dataset(Client, DatasetName, QueryMap, HeadersMap) when is_map(Client), is_map(QueryMap), is_map(HeadersMap) -> describe_dataset(Client, DatasetName, QueryMap, HeadersMap, []). describe_dataset(Client, DatasetName, QueryMap, HeadersMap, Options0) when is_map(Client), is_map(QueryMap), is_map(HeadersMap), is_list(Options0) -> Path = ["/datasets/", aws_util:encode_uri(DatasetName), ""], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Query_ = [], request(Client, get, Path, Query_, Headers, undefined, Options, SuccessStatusCode). %% @doc Retrieves information about a data store. describe_datastore(Client, DatastoreName) when is_map(Client) -> describe_datastore(Client, DatastoreName, #{}, #{}). describe_datastore(Client, DatastoreName, QueryMap, HeadersMap) when is_map(Client), is_map(QueryMap), is_map(HeadersMap) -> describe_datastore(Client, DatastoreName, QueryMap, HeadersMap, []). describe_datastore(Client, DatastoreName, QueryMap, HeadersMap, Options0) when is_map(Client), is_map(QueryMap), is_map(HeadersMap), is_list(Options0) -> Path = ["/datastores/", aws_util:encode_uri(DatastoreName), ""], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Query0_ = [ {<<"includeStatistics">>, maps:get(<<"includeStatistics">>, QueryMap, undefined)} ], Query_ = [H || {_, V} = H <- Query0_, V =/= undefined], request(Client, get, Path, Query_, Headers, undefined, Options, SuccessStatusCode). %% @doc Retrieves the current settings of the AWS IoT Analytics logging %% options. describe_logging_options(Client) when is_map(Client) -> describe_logging_options(Client, #{}, #{}). describe_logging_options(Client, QueryMap, HeadersMap) when is_map(Client), is_map(QueryMap), is_map(HeadersMap) -> describe_logging_options(Client, QueryMap, HeadersMap, []). describe_logging_options(Client, QueryMap, HeadersMap, Options0) when is_map(Client), is_map(QueryMap), is_map(HeadersMap), is_list(Options0) -> Path = ["/logging"], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Query_ = [], request(Client, get, Path, Query_, Headers, undefined, Options, SuccessStatusCode). %% @doc Retrieves information about a pipeline. describe_pipeline(Client, PipelineName) when is_map(Client) -> describe_pipeline(Client, PipelineName, #{}, #{}). describe_pipeline(Client, PipelineName, QueryMap, HeadersMap) when is_map(Client), is_map(QueryMap), is_map(HeadersMap) -> describe_pipeline(Client, PipelineName, QueryMap, HeadersMap, []). describe_pipeline(Client, PipelineName, QueryMap, HeadersMap, Options0) when is_map(Client), is_map(QueryMap), is_map(HeadersMap), is_list(Options0) -> Path = ["/pipelines/", aws_util:encode_uri(PipelineName), ""], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Query_ = [], request(Client, get, Path, Query_, Headers, undefined, Options, SuccessStatusCode). %% @doc Retrieves the contents of a data set as presigned URIs. get_dataset_content(Client, DatasetName) when is_map(Client) -> get_dataset_content(Client, DatasetName, #{}, #{}). get_dataset_content(Client, DatasetName, QueryMap, HeadersMap) when is_map(Client), is_map(QueryMap), is_map(HeadersMap) -> get_dataset_content(Client, DatasetName, QueryMap, HeadersMap, []). get_dataset_content(Client, DatasetName, QueryMap, HeadersMap, Options0) when is_map(Client), is_map(QueryMap), is_map(HeadersMap), is_list(Options0) -> Path = ["/datasets/", aws_util:encode_uri(DatasetName), "/content"], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Query0_ = [ {<<"versionId">>, maps:get(<<"versionId">>, QueryMap, undefined)} ], Query_ = [H || {_, V} = H <- Query0_, V =/= undefined], request(Client, get, Path, Query_, Headers, undefined, Options, SuccessStatusCode). %% @doc Retrieves a list of channels. list_channels(Client) when is_map(Client) -> list_channels(Client, #{}, #{}). list_channels(Client, QueryMap, HeadersMap) when is_map(Client), is_map(QueryMap), is_map(HeadersMap) -> list_channels(Client, QueryMap, HeadersMap, []). list_channels(Client, QueryMap, HeadersMap, Options0) when is_map(Client), is_map(QueryMap), is_map(HeadersMap), is_list(Options0) -> Path = ["/channels"], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Query0_ = [ {<<"maxResults">>, maps:get(<<"maxResults">>, QueryMap, undefined)}, {<<"nextToken">>, maps:get(<<"nextToken">>, QueryMap, undefined)} ], Query_ = [H || {_, V} = H <- Query0_, V =/= undefined], request(Client, get, Path, Query_, Headers, undefined, Options, SuccessStatusCode). %% @doc Lists information about data set contents that have been created. list_dataset_contents(Client, DatasetName) when is_map(Client) -> list_dataset_contents(Client, DatasetName, #{}, #{}). list_dataset_contents(Client, DatasetName, QueryMap, HeadersMap) when is_map(Client), is_map(QueryMap), is_map(HeadersMap) -> list_dataset_contents(Client, DatasetName, QueryMap, HeadersMap, []). list_dataset_contents(Client, DatasetName, QueryMap, HeadersMap, Options0) when is_map(Client), is_map(QueryMap), is_map(HeadersMap), is_list(Options0) -> Path = ["/datasets/", aws_util:encode_uri(DatasetName), "/contents"], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Query0_ = [ {<<"maxResults">>, maps:get(<<"maxResults">>, QueryMap, undefined)}, {<<"nextToken">>, maps:get(<<"nextToken">>, QueryMap, undefined)}, {<<"scheduledBefore">>, maps:get(<<"scheduledBefore">>, QueryMap, undefined)}, {<<"scheduledOnOrAfter">>, maps:get(<<"scheduledOnOrAfter">>, QueryMap, undefined)} ], Query_ = [H || {_, V} = H <- Query0_, V =/= undefined], request(Client, get, Path, Query_, Headers, undefined, Options, SuccessStatusCode). %% @doc Retrieves information about data sets. list_datasets(Client) when is_map(Client) -> list_datasets(Client, #{}, #{}). list_datasets(Client, QueryMap, HeadersMap) when is_map(Client), is_map(QueryMap), is_map(HeadersMap) -> list_datasets(Client, QueryMap, HeadersMap, []). list_datasets(Client, QueryMap, HeadersMap, Options0) when is_map(Client), is_map(QueryMap), is_map(HeadersMap), is_list(Options0) -> Path = ["/datasets"], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Query0_ = [ {<<"maxResults">>, maps:get(<<"maxResults">>, QueryMap, undefined)}, {<<"nextToken">>, maps:get(<<"nextToken">>, QueryMap, undefined)} ], Query_ = [H || {_, V} = H <- Query0_, V =/= undefined], request(Client, get, Path, Query_, Headers, undefined, Options, SuccessStatusCode). %% @doc Retrieves a list of data stores. list_datastores(Client) when is_map(Client) -> list_datastores(Client, #{}, #{}). list_datastores(Client, QueryMap, HeadersMap) when is_map(Client), is_map(QueryMap), is_map(HeadersMap) -> list_datastores(Client, QueryMap, HeadersMap, []). list_datastores(Client, QueryMap, HeadersMap, Options0) when is_map(Client), is_map(QueryMap), is_map(HeadersMap), is_list(Options0) -> Path = ["/datastores"], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Query0_ = [ {<<"maxResults">>, maps:get(<<"maxResults">>, QueryMap, undefined)}, {<<"nextToken">>, maps:get(<<"nextToken">>, QueryMap, undefined)} ], Query_ = [H || {_, V} = H <- Query0_, V =/= undefined], request(Client, get, Path, Query_, Headers, undefined, Options, SuccessStatusCode). %% @doc Retrieves a list of pipelines. list_pipelines(Client) when is_map(Client) -> list_pipelines(Client, #{}, #{}). list_pipelines(Client, QueryMap, HeadersMap) when is_map(Client), is_map(QueryMap), is_map(HeadersMap) -> list_pipelines(Client, QueryMap, HeadersMap, []). list_pipelines(Client, QueryMap, HeadersMap, Options0) when is_map(Client), is_map(QueryMap), is_map(HeadersMap), is_list(Options0) -> Path = ["/pipelines"], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Query0_ = [ {<<"maxResults">>, maps:get(<<"maxResults">>, QueryMap, undefined)}, {<<"nextToken">>, maps:get(<<"nextToken">>, QueryMap, undefined)} ], Query_ = [H || {_, V} = H <- Query0_, V =/= undefined], request(Client, get, Path, Query_, Headers, undefined, Options, SuccessStatusCode). %% @doc Lists the tags (metadata) that you have assigned to the resource. list_tags_for_resource(Client, ResourceArn) when is_map(Client) -> list_tags_for_resource(Client, ResourceArn, #{}, #{}). list_tags_for_resource(Client, ResourceArn, QueryMap, HeadersMap) when is_map(Client), is_map(QueryMap), is_map(HeadersMap) -> list_tags_for_resource(Client, ResourceArn, QueryMap, HeadersMap, []). list_tags_for_resource(Client, ResourceArn, QueryMap, HeadersMap, Options0) when is_map(Client), is_map(QueryMap), is_map(HeadersMap), is_list(Options0) -> Path = ["/tags"], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Query0_ = [ {<<"resourceArn">>, ResourceArn} ], Query_ = [H || {_, V} = H <- Query0_, V =/= undefined], request(Client, get, Path, Query_, Headers, undefined, Options, SuccessStatusCode). %% @doc Sets or updates the AWS IoT Analytics logging options. %% %% If you update the value of any `loggingOptions' field, it takes up to one %% minute for the change to take effect. Also, if you change the policy %% attached to the role you specified in the `roleArn' field (for example, to %% correct an invalid policy), it takes up to five minutes for that change to %% take effect. put_logging_options(Client, Input) -> put_logging_options(Client, Input, []). put_logging_options(Client, Input0, Options0) -> Method = put, Path = ["/logging"], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Simulates the results of running a pipeline activity on a message %% payload. run_pipeline_activity(Client, Input) -> run_pipeline_activity(Client, Input, []). run_pipeline_activity(Client, Input0, Options0) -> Method = post, Path = ["/pipelineactivities/run"], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Retrieves a sample of messages from the specified channel ingested %% during the specified timeframe. %% %% Up to 10 messages can be retrieved. sample_channel_data(Client, ChannelName) when is_map(Client) -> sample_channel_data(Client, ChannelName, #{}, #{}). sample_channel_data(Client, ChannelName, QueryMap, HeadersMap) when is_map(Client), is_map(QueryMap), is_map(HeadersMap) -> sample_channel_data(Client, ChannelName, QueryMap, HeadersMap, []). sample_channel_data(Client, ChannelName, QueryMap, HeadersMap, Options0) when is_map(Client), is_map(QueryMap), is_map(HeadersMap), is_list(Options0) -> Path = ["/channels/", aws_util:encode_uri(ChannelName), "/sample"], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Query0_ = [ {<<"endTime">>, maps:get(<<"endTime">>, QueryMap, undefined)}, {<<"maxMessages">>, maps:get(<<"maxMessages">>, QueryMap, undefined)}, {<<"startTime">>, maps:get(<<"startTime">>, QueryMap, undefined)} ], Query_ = [H || {_, V} = H <- Query0_, V =/= undefined], request(Client, get, Path, Query_, Headers, undefined, Options, SuccessStatusCode). %% @doc Starts the reprocessing of raw message data through the pipeline. start_pipeline_reprocessing(Client, PipelineName, Input) -> start_pipeline_reprocessing(Client, PipelineName, Input, []). start_pipeline_reprocessing(Client, PipelineName, Input0, Options0) -> Method = post, Path = ["/pipelines/", aws_util:encode_uri(PipelineName), "/reprocessing"], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Adds to or modifies the tags of the given resource. %% %% Tags are metadata that can be used to manage a resource. tag_resource(Client, Input) -> tag_resource(Client, Input, []). tag_resource(Client, Input0, Options0) -> Method = post, Path = ["/tags"], SuccessStatusCode = 204, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, QueryMapping = [ {<<"resourceArn">>, <<"resourceArn">>} ], {Query_, Input} = aws_request:build_headers(QueryMapping, Input2), request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Removes the given tags (metadata) from the resource. untag_resource(Client, Input) -> untag_resource(Client, Input, []). untag_resource(Client, Input0, Options0) -> Method = delete, Path = ["/tags"], SuccessStatusCode = 204, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, QueryMapping = [ {<<"resourceArn">>, <<"resourceArn">>}, {<<"tagKeys">>, <<"tagKeys">>} ], {Query_, Input} = aws_request:build_headers(QueryMapping, Input2), request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Updates the settings of a channel. update_channel(Client, ChannelName, Input) -> update_channel(Client, ChannelName, Input, []). update_channel(Client, ChannelName, Input0, Options0) -> Method = put, Path = ["/channels/", aws_util:encode_uri(ChannelName), ""], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Updates the settings of a data set. update_dataset(Client, DatasetName, Input) -> update_dataset(Client, DatasetName, Input, []). update_dataset(Client, DatasetName, Input0, Options0) -> Method = put, Path = ["/datasets/", aws_util:encode_uri(DatasetName), ""], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Updates the settings of a data store. update_datastore(Client, DatastoreName, Input) -> update_datastore(Client, DatastoreName, Input, []). update_datastore(Client, DatastoreName, Input0, Options0) -> Method = put, Path = ["/datastores/", aws_util:encode_uri(DatastoreName), ""], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %% @doc Updates the settings of a pipeline. %% %% You must specify both a `channel' and a `datastore' activity and, %% optionally, as many as 23 additional activities in the %% `pipelineActivities' array. update_pipeline(Client, PipelineName, Input) -> update_pipeline(Client, PipelineName, Input, []). update_pipeline(Client, PipelineName, Input0, Options0) -> Method = put, Path = ["/pipelines/", aws_util:encode_uri(PipelineName), ""], SuccessStatusCode = undefined, Options = [{send_body_as_binary, false}, {receive_body_as_binary, false} | Options0], Headers = [], Input1 = Input0, CustomHeaders = [], Input2 = Input1, Query_ = [], Input = Input2, request(Client, Method, Path, Query_, CustomHeaders ++ Headers, Input, Options, SuccessStatusCode). %%==================================================================== %% Internal functions %%==================================================================== -spec request(aws_client:aws_client(), atom(), iolist(), list(), list(), map() | undefined, list(), pos_integer() | undefined) -> {ok, Result, {integer(), list(), hackney:client()}} | {error, Error, {integer(), list(), hackney:client()}} | {error, term()} when Result :: map(), Error :: map(). request(Client, Method, Path, Query, Headers0, Input, Options, SuccessStatusCode) -> Client1 = Client#{service => <<"iotanalytics">>}, Host = build_host(<<"iotanalytics">>, Client1), URL0 = build_url(Host, Path, Client1), URL = aws_request:add_query(URL0, Query), AdditionalHeaders = [ {<<"Host">>, Host} , {<<"Content-Type">>, <<"application/x-amz-json-1.1">>} ], Headers1 = aws_request:add_headers(AdditionalHeaders, Headers0), Payload = case proplists:get_value(send_body_as_binary, Options) of true -> maps:get(<<"Body">>, Input, <<"">>); false -> encode_payload(Input) end, MethodBin = aws_request:method_to_binary(Method), SignedHeaders = aws_request:sign_request(Client1, MethodBin, URL, Headers1, Payload), Response = hackney:request(Method, URL, SignedHeaders, Payload, Options), DecodeBody = not proplists:get_value(receive_body_as_binary, Options), handle_response(Response, SuccessStatusCode, DecodeBody). handle_response({ok, StatusCode, ResponseHeaders, Client}, SuccessStatusCode, DecodeBody) when StatusCode =:= 200; StatusCode =:= 202; StatusCode =:= 204; StatusCode =:= SuccessStatusCode -> case hackney:body(Client) of {ok, <<>>} when StatusCode =:= 200; StatusCode =:= SuccessStatusCode -> {ok, #{}, {StatusCode, ResponseHeaders, Client}}; {ok, Body} -> Result = case DecodeBody of true -> jsx:decode(Body); false -> #{<<"Body">> => Body} end, {ok, Result, {StatusCode, ResponseHeaders, Client}} end; handle_response({ok, StatusCode, ResponseHeaders, Client}, _, _DecodeBody) -> {ok, Body} = hackney:body(Client), Error = jsx:decode(Body), {error, Error, {StatusCode, ResponseHeaders, Client}}; handle_response({error, Reason}, _, _DecodeBody) -> {error, Reason}. build_host(_EndpointPrefix, #{region := <<"local">>, endpoint := Endpoint}) -> Endpoint; build_host(_EndpointPrefix, #{region := <<"local">>}) -> <<"localhost">>; build_host(EndpointPrefix, #{region := Region, endpoint := Endpoint}) -> aws_util:binary_join([EndpointPrefix, Region, Endpoint], <<".">>). build_url(Host, Path0, Client) -> Proto = maps:get(proto, Client), Path = erlang:iolist_to_binary(Path0), Port = maps:get(port, Client), aws_util:binary_join([Proto, <<"://">>, Host, <<":">>, Port, Path], <<"">>). -spec encode_payload(undefined | map()) -> binary(). encode_payload(undefined) -> <<>>; encode_payload(Input) -> jsx:encode(Input).