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// DO NOT EDIT ! // This file was generated automatically from 'src/mako/api/lib.rs.mako' // DO NOT EDIT ! //! This documentation was generated from *AnalyticsReporting* crate version *1.0.8+20181008*, where *20181008* is the exact revision of the *analyticsreporting:v4* schema built by the [mako](http://www.makotemplates.org/) code generator *v1.0.8*. //! //! Everything else about the *AnalyticsReporting* *v4* API can be found at the //! [official documentation site](https://developers.google.com/analytics/devguides/reporting/core/v4/). //! The original source code is [on github](https://github.com/Byron/google-apis-rs/tree/master/gen/analyticsreporting4). //! # Features //! //! Handle the following *Resources* with ease from the central [hub](struct.AnalyticsReporting.html) ... //! //! * [reports](struct.Report.html) //! * [*batch get*](struct.ReportBatchGetCall.html) //! //! //! //! //! Not what you are looking for ? Find all other Google APIs in their Rust [documentation index](http://byron.github.io/google-apis-rs). //! //! # Structure of this Library //! //! The API is structured into the following primary items: //! //! * **[Hub](struct.AnalyticsReporting.html)** //! * a central object to maintain state and allow accessing all *Activities* //! * creates [*Method Builders*](trait.MethodsBuilder.html) which in turn //! allow access to individual [*Call Builders*](trait.CallBuilder.html) //! * **[Resources](trait.Resource.html)** //! * primary types that you can apply *Activities* to //! * a collection of properties and *Parts* //! * **[Parts](trait.Part.html)** //! * a collection of properties //! * never directly used in *Activities* //! * **[Activities](trait.CallBuilder.html)** //! * operations to apply to *Resources* //! //! All *structures* are marked with applicable traits to further categorize them and ease browsing. //! //! Generally speaking, you can invoke *Activities* like this: //! //! ```Rust,ignore //! let r = hub.resource().activity(...).doit() //! ``` //! //! Or specifically ... //! //! ```ignore //! let r = hub.reports().batch_get(...).doit() //! ``` //! //! The `resource()` and `activity(...)` calls create [builders][builder-pattern]. The second one dealing with `Activities` //! supports various methods to configure the impending operation (not shown here). It is made such that all required arguments have to be //! specified right away (i.e. `(...)`), whereas all optional ones can be [build up][builder-pattern] as desired. //! The `doit()` method performs the actual communication with the server and returns the respective result. //! //! # Usage //! //! ## Setting up your Project //! //! To use this library, you would put the following lines into your `Cargo.toml` file: //! //! ```toml //! [dependencies] //! google-analyticsreporting4 = "*" //! # This project intentionally uses an old version of Hyper. See //! # https://github.com/Byron/google-apis-rs/issues/173 for more //! # information. //! hyper = "^0.10" //! hyper-rustls = "^0.6" //! serde = "^1.0" //! serde_json = "^1.0" //! yup-oauth2 = "^1.0" //! ``` //! //! ## A complete example //! //! ```test_harness,no_run //! extern crate hyper; //! extern crate hyper_rustls; //! extern crate yup_oauth2 as oauth2; //! extern crate google_analyticsreporting4 as analyticsreporting4; //! use analyticsreporting4::GetReportsRequest; //! use analyticsreporting4::{Result, Error}; //! # #[test] fn egal() { //! use std::default::Default; //! use oauth2::{Authenticator, DefaultAuthenticatorDelegate, ApplicationSecret, MemoryStorage}; //! use analyticsreporting4::AnalyticsReporting; //! //! // Get an ApplicationSecret instance by some means. It contains the `client_id` and //! // `client_secret`, among other things. //! let secret: ApplicationSecret = Default::default(); //! // Instantiate the authenticator. It will choose a suitable authentication flow for you, //! // unless you replace `None` with the desired Flow. //! // Provide your own `AuthenticatorDelegate` to adjust the way it operates and get feedback about //! // what's going on. You probably want to bring in your own `TokenStorage` to persist tokens and //! // retrieve them from storage. //! let auth = Authenticator::new(&secret, DefaultAuthenticatorDelegate, //! hyper::Client::with_connector(hyper::net::HttpsConnector::new(hyper_rustls::TlsClient::new())), //! <MemoryStorage as Default>::default(), None); //! let mut hub = AnalyticsReporting::new(hyper::Client::with_connector(hyper::net::HttpsConnector::new(hyper_rustls::TlsClient::new())), auth); //! // As the method needs a request, you would usually fill it with the desired information //! // into the respective structure. Some of the parts shown here might not be applicable ! //! // Values shown here are possibly random and not representative ! //! let mut req = GetReportsRequest::default(); //! //! // You can configure optional parameters by calling the respective setters at will, and //! // execute the final call using `doit()`. //! // Values shown here are possibly random and not representative ! //! let result = hub.reports().batch_get(req) //! .doit(); //! //! match result { //! Err(e) => match e { //! // The Error enum provides details about what exactly happened. //! // You can also just use its `Debug`, `Display` or `Error` traits //! Error::HttpError(_) //! |Error::MissingAPIKey //! |Error::MissingToken(_) //! |Error::Cancelled //! |Error::UploadSizeLimitExceeded(_, _) //! |Error::Failure(_) //! |Error::BadRequest(_) //! |Error::FieldClash(_) //! |Error::JsonDecodeError(_, _) => println!("{}", e), //! }, //! Ok(res) => println!("Success: {:?}", res), //! } //! # } //! ``` //! ## Handling Errors //! //! All errors produced by the system are provided either as [Result](enum.Result.html) enumeration as return value of //! the doit() methods, or handed as possibly intermediate results to either the //! [Hub Delegate](trait.Delegate.html), or the [Authenticator Delegate](https://docs.rs/yup-oauth2/*/yup_oauth2/trait.AuthenticatorDelegate.html). //! //! When delegates handle errors or intermediate values, they may have a chance to instruct the system to retry. This //! makes the system potentially resilient to all kinds of errors. //! //! ## Uploads and Downloads //! If a method supports downloads, the response body, which is part of the [Result](enum.Result.html), should be //! read by you to obtain the media. //! If such a method also supports a [Response Result](trait.ResponseResult.html), it will return that by default. //! You can see it as meta-data for the actual media. To trigger a media download, you will have to set up the builder by making //! this call: `.param("alt", "media")`. //! //! Methods supporting uploads can do so using up to 2 different protocols: //! *simple* and *resumable*. The distinctiveness of each is represented by customized //! `doit(...)` methods, which are then named `upload(...)` and `upload_resumable(...)` respectively. //! //! ## Customization and Callbacks //! //! You may alter the way an `doit()` method is called by providing a [delegate](trait.Delegate.html) to the //! [Method Builder](trait.CallBuilder.html) before making the final `doit()` call. //! Respective methods will be called to provide progress information, as well as determine whether the system should //! retry on failure. //! //! The [delegate trait](trait.Delegate.html) is default-implemented, allowing you to customize it with minimal effort. //! //! ## Optional Parts in Server-Requests //! //! All structures provided by this library are made to be [enocodable](trait.RequestValue.html) and //! [decodable](trait.ResponseResult.html) via *json*. Optionals are used to indicate that partial requests are responses //! are valid. //! Most optionals are are considered [Parts](trait.Part.html) which are identifiable by name, which will be sent to //! the server to indicate either the set parts of the request or the desired parts in the response. //! //! ## Builder Arguments //! //! Using [method builders](trait.CallBuilder.html), you are able to prepare an action call by repeatedly calling it's methods. //! These will always take a single argument, for which the following statements are true. //! //! * [PODs][wiki-pod] are handed by copy //! * strings are passed as `&str` //! * [request values](trait.RequestValue.html) are moved //! //! Arguments will always be copied or cloned into the builder, to make them independent of their original life times. //! //! [wiki-pod]: http://en.wikipedia.org/wiki/Plain_old_data_structure //! [builder-pattern]: http://en.wikipedia.org/wiki/Builder_pattern //! [google-go-api]: https://github.com/google/google-api-go-client //! //! // Unused attributes happen thanks to defined, but unused structures // We don't warn about this, as depending on the API, some data structures or facilities are never used. // Instead of pre-determining this, we just disable the lint. It's manually tuned to not have any // unused imports in fully featured APIs. Same with unused_mut ... . #![allow(unused_imports, unused_mut, dead_code)] // DO NOT EDIT ! // This file was generated automatically from 'src/mako/api/lib.rs.mako' // DO NOT EDIT ! #[macro_use] extern crate serde_derive; extern crate hyper; extern crate serde; extern crate serde_json; extern crate yup_oauth2 as oauth2; extern crate mime; extern crate url; mod cmn; use std::collections::HashMap; use std::cell::RefCell; use std::borrow::BorrowMut; use std::default::Default; use std::collections::BTreeMap; use serde_json as json; use std::io; use std::fs; use std::mem; use std::thread::sleep; use std::time::Duration; pub use cmn::{MultiPartReader, ToParts, MethodInfo, Result, Error, CallBuilder, Hub, ReadSeek, Part, ResponseResult, RequestValue, NestedType, Delegate, DefaultDelegate, MethodsBuilder, Resource, ErrorResponse, remove_json_null_values}; // ############## // UTILITIES ### // ############ /// Identifies the an OAuth2 authorization scope. /// A scope is needed when requesting an /// [authorization token](https://developers.google.com/youtube/v3/guides/authentication). #[derive(PartialEq, Eq, Hash)] pub enum Scope { /// View and manage your Google Analytics data Analytic, /// View your Google Analytics data AnalyticReadonly, } impl AsRef<str> for Scope { fn as_ref(&self) -> &str { match *self { Scope::Analytic => "https://www.googleapis.com/auth/analytics", Scope::AnalyticReadonly => "https://www.googleapis.com/auth/analytics.readonly", } } } impl Default for Scope { fn default() -> Scope { Scope::AnalyticReadonly } } // ######## // HUB ### // ###### /// Central instance to access all AnalyticsReporting related resource activities /// /// # Examples /// /// Instantiate a new hub /// /// ```test_harness,no_run /// extern crate hyper; /// extern crate hyper_rustls; /// extern crate yup_oauth2 as oauth2; /// extern crate google_analyticsreporting4 as analyticsreporting4; /// use analyticsreporting4::GetReportsRequest; /// use analyticsreporting4::{Result, Error}; /// # #[test] fn egal() { /// use std::default::Default; /// use oauth2::{Authenticator, DefaultAuthenticatorDelegate, ApplicationSecret, MemoryStorage}; /// use analyticsreporting4::AnalyticsReporting; /// /// // Get an ApplicationSecret instance by some means. It contains the `client_id` and /// // `client_secret`, among other things. /// let secret: ApplicationSecret = Default::default(); /// // Instantiate the authenticator. It will choose a suitable authentication flow for you, /// // unless you replace `None` with the desired Flow. /// // Provide your own `AuthenticatorDelegate` to adjust the way it operates and get feedback about /// // what's going on. You probably want to bring in your own `TokenStorage` to persist tokens and /// // retrieve them from storage. /// let auth = Authenticator::new(&secret, DefaultAuthenticatorDelegate, /// hyper::Client::with_connector(hyper::net::HttpsConnector::new(hyper_rustls::TlsClient::new())), /// <MemoryStorage as Default>::default(), None); /// let mut hub = AnalyticsReporting::new(hyper::Client::with_connector(hyper::net::HttpsConnector::new(hyper_rustls::TlsClient::new())), auth); /// // As the method needs a request, you would usually fill it with the desired information /// // into the respective structure. Some of the parts shown here might not be applicable ! /// // Values shown here are possibly random and not representative ! /// let mut req = GetReportsRequest::default(); /// /// // You can configure optional parameters by calling the respective setters at will, and /// // execute the final call using `doit()`. /// // Values shown here are possibly random and not representative ! /// let result = hub.reports().batch_get(req) /// .doit(); /// /// match result { /// Err(e) => match e { /// // The Error enum provides details about what exactly happened. /// // You can also just use its `Debug`, `Display` or `Error` traits /// Error::HttpError(_) /// |Error::MissingAPIKey /// |Error::MissingToken(_) /// |Error::Cancelled /// |Error::UploadSizeLimitExceeded(_, _) /// |Error::Failure(_) /// |Error::BadRequest(_) /// |Error::FieldClash(_) /// |Error::JsonDecodeError(_, _) => println!("{}", e), /// }, /// Ok(res) => println!("Success: {:?}", res), /// } /// # } /// ``` pub struct AnalyticsReporting<C, A> { client: RefCell<C>, auth: RefCell<A>, _user_agent: String, _base_url: String, _root_url: String, } impl<'a, C, A> Hub for AnalyticsReporting<C, A> {} impl<'a, C, A> AnalyticsReporting<C, A> where C: BorrowMut<hyper::Client>, A: oauth2::GetToken { pub fn new(client: C, authenticator: A) -> AnalyticsReporting<C, A> { AnalyticsReporting { client: RefCell::new(client), auth: RefCell::new(authenticator), _user_agent: "google-api-rust-client/1.0.8".to_string(), _base_url: "https://analyticsreporting.googleapis.com/".to_string(), _root_url: "https://analyticsreporting.googleapis.com/".to_string(), } } pub fn reports(&'a self) -> ReportMethods<'a, C, A> { ReportMethods { hub: &self } } /// Set the user-agent header field to use in all requests to the server. /// It defaults to `google-api-rust-client/1.0.8`. /// /// Returns the previously set user-agent. pub fn user_agent(&mut self, agent_name: String) -> String { mem::replace(&mut self._user_agent, agent_name) } /// Set the base url to use in all requests to the server. /// It defaults to `https://analyticsreporting.googleapis.com/`. /// /// Returns the previously set base url. pub fn base_url(&mut self, new_base_url: String) -> String { mem::replace(&mut self._base_url, new_base_url) } /// Set the root url to use in all requests to the server. /// It defaults to `https://analyticsreporting.googleapis.com/`. /// /// Returns the previously set root url. pub fn root_url(&mut self, new_root_url: String) -> String { mem::replace(&mut self._root_url, new_root_url) } } // ############ // SCHEMAS ### // ########## /// Defines a cohort. A cohort is a group of users who share a common /// characteristic. For example, all users with the same acquisition date /// belong to the same cohort. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct Cohort { /// This is used for `FIRST_VISIT_DATE` cohort, the cohort selects users /// whose first visit date is between start date and end date defined in the /// DateRange. The date ranges should be aligned for cohort requests. If the /// request contains `ga:cohortNthDay` it should be exactly one day long, /// if `ga:cohortNthWeek` it should be aligned to the week boundary (starting /// at Sunday and ending Saturday), and for `ga:cohortNthMonth` the date range /// should be aligned to the month (starting at the first and ending on the /// last day of the month). /// For LTV requests there are no such restrictions. /// You do not need to supply a date range for the /// `reportsRequest.dateRanges` field. #[serde(rename="dateRange")] pub date_range: Option<DateRange>, /// Type of the cohort. The only supported type as of now is /// `FIRST_VISIT_DATE`. If this field is unspecified the cohort is treated /// as `FIRST_VISIT_DATE` type cohort. #[serde(rename="type")] pub type_: Option<String>, /// A unique name for the cohort. If not defined name will be auto-generated /// with values cohort_[1234...]. pub name: Option<String>, } impl Part for Cohort {} /// The data part of the report. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct ReportData { /// There's one ReportRow for every unique combination of dimensions. pub rows: Option<Vec<ReportRow>>, /// Minimum and maximum values seen over all matching rows. These are both /// empty when `hideValueRanges` in the request is false, or when /// rowCount is zero. pub maximums: Option<Vec<DateRangeValues>>, /// Minimum and maximum values seen over all matching rows. These are both /// empty when `hideValueRanges` in the request is false, or when /// rowCount is zero. pub minimums: Option<Vec<DateRangeValues>>, /// Indicates if response to this request is golden or not. Data is /// golden when the exact same request will not produce any new results if /// asked at a later point in time. #[serde(rename="isDataGolden")] pub is_data_golden: Option<bool>, /// If the results are /// [sampled](https://support.google.com/analytics/answer/2637192), /// this returns the total number of /// samples present, one entry per date range. If the results are not sampled /// this field will not be defined. See /// [developer guide](/analytics/devguides/reporting/core/v4/basics#sampling) /// for details. #[serde(rename="samplingSpaceSizes")] pub sampling_space_sizes: Option<Vec<String>>, /// For each requested date range, for the set of all rows that match /// the query, every requested value format gets a total. The total /// for a value format is computed by first totaling the metrics /// mentioned in the value format and then evaluating the value /// format as a scalar expression. E.g., The "totals" for /// `3 / (ga:sessions + 2)` we compute /// `3 / ((sum of all relevant ga:sessions) + 2)`. /// Totals are computed before pagination. pub totals: Option<Vec<DateRangeValues>>, /// Total number of matching rows for this query. #[serde(rename="rowCount")] pub row_count: Option<i32>, /// The last time the data in the report was refreshed. All the hits received /// before this timestamp are included in the calculation of the report. #[serde(rename="dataLastRefreshed")] pub data_last_refreshed: Option<String>, /// If the results are /// [sampled](https://support.google.com/analytics/answer/2637192), /// this returns the total number of samples read, one entry per date range. /// If the results are not sampled this field will not be defined. See /// [developer guide](/analytics/devguides/reporting/core/v4/basics#sampling) /// for details. #[serde(rename="samplesReadCounts")] pub samples_read_counts: Option<Vec<i64>>, } impl Part for ReportData {} /// The batch request containing multiple report request. /// /// # Activities /// /// This type is used in activities, which are methods you may call on this type or where this type is involved in. /// The list links the activity name, along with information about where it is used (one of *request* and *response*). /// /// * [batch get reports](struct.ReportBatchGetCall.html) (request) /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct GetReportsRequest { /// Requests, each request will have a separate response. /// There can be a maximum of 5 requests. All requests should have the same /// `dateRanges`, `viewId`, `segments`, `samplingLevel`, and `cohortGroup`. #[serde(rename="reportRequests")] pub report_requests: Option<Vec<ReportRequest>>, /// Enables /// [resource based quotas](/analytics/devguides/reporting/core/v4/limits-quotas#analytics_reporting_api_v4), /// (defaults to `False`). If this field is set to `True` the /// per view (profile) quotas are governed by the computational /// cost of the request. Note that using cost based quotas will /// higher enable sampling rates. (10 Million for `SMALL`, /// 100M for `LARGE`. See the /// [limits and quotas documentation](/analytics/devguides/reporting/core/v4/limits-quotas#analytics_reporting_api_v4) for details. #[serde(rename="useResourceQuotas")] pub use_resource_quotas: Option<bool>, } impl RequestValue for GetReportsRequest {} /// A contiguous set of days: startDate, startDate + 1 day, ..., endDate. /// The start and end dates are specified in /// [ISO8601](https://en.wikipedia.org/wiki/ISO_8601) date format `YYYY-MM-DD`. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct DateRange { /// The start date for the query in the format `YYYY-MM-DD`. #[serde(rename="startDate")] pub start_date: Option<String>, /// The end date for the query in the format `YYYY-MM-DD`. #[serde(rename="endDate")] pub end_date: Option<String>, } impl Part for DateRange {} /// The main response class which holds the reports from the Reporting API /// `batchGet` call. /// /// # Activities /// /// This type is used in activities, which are methods you may call on this type or where this type is involved in. /// The list links the activity name, along with information about where it is used (one of *request* and *response*). /// /// * [batch get reports](struct.ReportBatchGetCall.html) (response) /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct GetReportsResponse { /// The amount of resource quota tokens deducted to execute the query. Includes /// all responses. #[serde(rename="queryCost")] pub query_cost: Option<i32>, /// Responses corresponding to each of the request. pub reports: Option<Vec<Report>>, /// The amount of resource quota remaining for the property. #[serde(rename="resourceQuotasRemaining")] pub resource_quotas_remaining: Option<ResourceQuotasRemaining>, } impl ResponseResult for GetReportsResponse {} /// SegmentDefinition defines the segment to be a set of SegmentFilters which /// are combined together with a logical `AND` operation. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct SegmentDefinition { /// A segment is defined by a set of segment filters which are combined /// together with a logical `AND` operation. #[serde(rename="segmentFilters")] pub segment_filters: Option<Vec<SegmentFilter>>, } impl Part for SegmentDefinition {} /// The main request class which specifies the Reporting API request. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct ReportRequest { /// The metrics requested. /// Requests must specify at least one metric. Requests can have a /// total of 10 metrics. pub metrics: Option<Vec<Metric>>, /// Page size is for paging and specifies the maximum number of returned rows. /// Page size should be >= 0. A query returns the default of 1,000 rows. /// The Analytics Core Reporting API returns a maximum of 100,000 rows per /// request, no matter how many you ask for. It can also return fewer rows /// than requested, if there aren't as many dimension segments as you expect. /// For instance, there are fewer than 300 possible values for `ga:country`, /// so when segmenting only by country, you can't get more than 300 rows, /// even if you set `pageSize` to a higher value. #[serde(rename="pageSize")] pub page_size: Option<i32>, /// The Analytics /// [view ID](https://support.google.com/analytics/answer/1009618) /// from which to retrieve data. Every [ReportRequest](#ReportRequest) /// within a `batchGet` method must contain the same `viewId`. #[serde(rename="viewId")] pub view_id: Option<String>, /// Cohort group associated with this request. If there is a cohort group /// in the request the `ga:cohort` dimension must be present. /// Every [ReportRequest](#ReportRequest) within a `batchGet` method must /// contain the same `cohortGroup` definition. #[serde(rename="cohortGroup")] pub cohort_group: Option<CohortGroup>, /// Date ranges in the request. The request can have a maximum of 2 date /// ranges. The response will contain a set of metric values for each /// combination of the dimensions for each date range in the request. So, if /// there are two date ranges, there will be two set of metric values, one for /// the original date range and one for the second date range. /// The `reportRequest.dateRanges` field should not be specified for cohorts /// or Lifetime value requests. /// If a date range is not provided, the default date range is (startDate: /// current date - 7 days, endDate: current date - 1 day). Every /// [ReportRequest](#ReportRequest) within a `batchGet` method must /// contain the same `dateRanges` definition. #[serde(rename="dateRanges")] pub date_ranges: Option<Vec<DateRange>>, /// The desired report /// [sample](https://support.google.com/analytics/answer/2637192) size. /// If the the `samplingLevel` field is unspecified the `DEFAULT` sampling /// level is used. Every [ReportRequest](#ReportRequest) within a /// `batchGet` method must contain the same `samplingLevel` definition. See /// [developer guide](/analytics/devguides/reporting/core/v4/basics#sampling) /// for details. #[serde(rename="samplingLevel")] pub sampling_level: Option<String>, /// The metric filter clauses. They are logically combined with the `AND` /// operator. Metric filters look at only the first date range and not the /// comparing date range. Note that filtering on metrics occurs after the /// metrics are aggregated. #[serde(rename="metricFilterClauses")] pub metric_filter_clauses: Option<Vec<MetricFilterClause>>, /// The pivot definitions. Requests can have a maximum of 2 pivots. pub pivots: Option<Vec<Pivot>>, /// If set to true, hides the total of all metrics for all the matching rows, /// for every date range. The default false and will return the totals. #[serde(rename="hideTotals")] pub hide_totals: Option<bool>, /// The dimensions requested. /// Requests can have a total of 7 dimensions. pub dimensions: Option<Vec<Dimension>>, /// The dimension filter clauses for filtering Dimension Values. They are /// logically combined with the `AND` operator. Note that filtering occurs /// before any dimensions are aggregated, so that the returned metrics /// represent the total for only the relevant dimensions. #[serde(rename="dimensionFilterClauses")] pub dimension_filter_clauses: Option<Vec<DimensionFilterClause>>, /// If set to false, the response does not include rows if all the retrieved /// metrics are equal to zero. The default is false which will exclude these /// rows. #[serde(rename="includeEmptyRows")] pub include_empty_rows: Option<bool>, /// Segment the data returned for the request. A segment definition helps look /// at a subset of the segment request. A request can contain up to four /// segments. Every [ReportRequest](#ReportRequest) within a /// `batchGet` method must contain the same `segments` definition. Requests /// with segments must have the `ga:segment` dimension. pub segments: Option<Vec<Segment>>, /// Sort order on output rows. To compare two rows, the elements of the /// following are applied in order until a difference is found. All date /// ranges in the output get the same row order. #[serde(rename="orderBys")] pub order_bys: Option<Vec<OrderBy>>, /// Dimension or metric filters that restrict the data returned for your /// request. To use the `filtersExpression`, supply a dimension or metric on /// which to filter, followed by the filter expression. For example, the /// following expression selects `ga:browser` dimension which starts with /// Firefox; `ga:browser=~^Firefox`. For more information on dimensions /// and metric filters, see /// [Filters reference](https://developers.google.com/analytics/devguides/reporting/core/v3/reference#filters). #[serde(rename="filtersExpression")] pub filters_expression: Option<String>, /// A continuation token to get the next page of the results. Adding this to /// the request will return the rows after the pageToken. The pageToken should /// be the value returned in the nextPageToken parameter in the response to /// the GetReports request. #[serde(rename="pageToken")] pub page_token: Option<String>, /// If set to true, hides the minimum and maximum across all matching rows. /// The default is false and the value ranges are returned. #[serde(rename="hideValueRanges")] pub hide_value_ranges: Option<bool>, } impl Part for ReportRequest {} /// Represents a group of metric filters. /// Set the operator value to specify how the filters are logically combined. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct MetricFilterClause { /// The operator for combining multiple metric filters. If unspecified, it is /// treated as an `OR`. pub operator: Option<String>, /// The repeated set of filters. They are logically combined based on the /// operator specified. pub filters: Option<Vec<MetricFilter>>, } impl Part for MetricFilterClause {} /// SegmentFilter defines the segment to be either a simple or a sequence /// segment. A simple segment condition contains dimension and metric conditions /// to select the sessions or users. A sequence segment condition can be used to /// select users or sessions based on sequential conditions. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct SegmentFilter { /// If true, match the complement of simple or sequence segment. /// For example, to match all visits not from "New York", we can define the /// segment as follows: /// /// "sessionSegment": { /// "segmentFilters": [{ /// "simpleSegment" :{ /// "orFiltersForSegment": [{ /// "segmentFilterClauses":[{ /// "dimensionFilter": { /// "dimensionName": "ga:city", /// "expressions": ["New York"] /// } /// }] /// }] /// }, /// "not": "True" /// }] /// }, pub not: Option<bool>, /// A Simple segment conditions consist of one or more dimension/metric /// conditions that can be combined #[serde(rename="simpleSegment")] pub simple_segment: Option<SimpleSegment>, /// Sequence conditions consist of one or more steps, where each step is /// defined by one or more dimension/metric conditions. Multiple steps can /// be combined with special sequence operators. #[serde(rename="sequenceSegment")] pub sequence_segment: Option<SequenceSegment>, } impl Part for SegmentFilter {} /// Specifies the sorting options. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct OrderBy { /// The order type. The default orderType is `VALUE`. #[serde(rename="orderType")] pub order_type: Option<String>, /// The field which to sort by. The default sort order is ascending. Example: /// `ga:browser`. /// Note, that you can only specify one field for sort here. For example, /// `ga:browser, ga:city` is not valid. #[serde(rename="fieldName")] pub field_name: Option<String>, /// The sorting order for the field. #[serde(rename="sortOrder")] pub sort_order: Option<String>, } impl Part for OrderBy {} /// Sequence conditions consist of one or more steps, where each step is defined /// by one or more dimension/metric conditions. Multiple steps can be combined /// with special sequence operators. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct SequenceSegment { /// If set, first step condition must match the first hit of the visitor (in /// the date range). #[serde(rename="firstStepShouldMatchFirstHit")] pub first_step_should_match_first_hit: Option<bool>, /// The list of steps in the sequence. #[serde(rename="segmentSequenceSteps")] pub segment_sequence_steps: Option<Vec<SegmentSequenceStep>>, } impl Part for SequenceSegment {} /// The metric values in the pivot region. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct PivotValueRegion { /// The values of the metrics in each of the pivot regions. pub values: Option<Vec<String>>, } impl Part for PivotValueRegion {} /// Column headers. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct ColumnHeader { /// The dimension names in the response. pub dimensions: Option<Vec<String>>, /// Metric headers for the metrics in the response. #[serde(rename="metricHeader")] pub metric_header: Option<MetricHeader>, } impl Part for ColumnHeader {} /// Dynamic segment definition for defining the segment within the request. /// A segment can select users, sessions or both. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct DynamicSegment { /// Session Segment to select sessions to include in the segment. #[serde(rename="sessionSegment")] pub session_segment: Option<SegmentDefinition>, /// The name of the dynamic segment. pub name: Option<String>, /// User Segment to select users to include in the segment. #[serde(rename="userSegment")] pub user_segment: Option<SegmentDefinition>, } impl Part for DynamicSegment {} /// Header for the metrics. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct MetricHeaderEntry { /// The type of the metric, for example `INTEGER`. #[serde(rename="type")] pub type_: Option<String>, /// The name of the header. pub name: Option<String>, } impl Part for MetricHeaderEntry {} /// The data response corresponding to the request. /// /// # Activities /// /// This type is used in activities, which are methods you may call on this type or where this type is involved in. /// The list links the activity name, along with information about where it is used (one of *request* and *response*). /// /// * [batch get reports](struct.ReportBatchGetCall.html) (none) /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct Report { /// Page token to retrieve the next page of results in the list. #[serde(rename="nextPageToken")] pub next_page_token: Option<String>, /// Response data. pub data: Option<ReportData>, /// The column headers. #[serde(rename="columnHeader")] pub column_header: Option<ColumnHeader>, } impl Resource for Report {} /// A row in the report. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct ReportRow { /// List of metrics for each requested DateRange. pub metrics: Option<Vec<DateRangeValues>>, /// List of requested dimensions. pub dimensions: Option<Vec<String>>, } impl Part for ReportRow {} /// The segment definition, if the report needs to be segmented. /// A Segment is a subset of the Analytics data. For example, of the entire /// set of users, one Segment might be users from a particular country or city. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct Segment { /// A dynamic segment definition in the request. #[serde(rename="dynamicSegment")] pub dynamic_segment: Option<DynamicSegment>, /// The segment ID of a built-in or custom segment, for example `gaid::-3`. #[serde(rename="segmentId")] pub segment_id: Option<String>, } impl Part for Segment {} /// The resource quota tokens remaining for the property after the request is /// completed. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct ResourceQuotasRemaining { /// Daily resource quota remaining remaining. #[serde(rename="dailyQuotaTokensRemaining")] pub daily_quota_tokens_remaining: Option<i32>, /// Hourly resource quota tokens remaining. #[serde(rename="hourlyQuotaTokensRemaining")] pub hourly_quota_tokens_remaining: Option<i32>, } impl Part for ResourceQuotasRemaining {} /// The headers for each of the pivot sections defined in the request. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct PivotHeader { /// The total number of groups for this pivot. #[serde(rename="totalPivotGroupsCount")] pub total_pivot_groups_count: Option<i32>, /// A single pivot section header. #[serde(rename="pivotHeaderEntries")] pub pivot_header_entries: Option<Vec<PivotHeaderEntry>>, } impl Part for PivotHeader {} /// A Simple segment conditions consist of one or more dimension/metric /// conditions that can be combined. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct SimpleSegment { /// A list of segment filters groups which are combined with logical `AND` /// operator. #[serde(rename="orFiltersForSegment")] pub or_filters_for_segment: Option<Vec<OrFiltersForSegment>>, } impl Part for SimpleSegment {} /// The headers for the each of the metric column corresponding to the metrics /// requested in the pivots section of the response. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct PivotHeaderEntry { /// The values for the dimensions in the pivot. #[serde(rename="dimensionValues")] pub dimension_values: Option<Vec<String>>, /// The name of the dimensions in the pivot response. #[serde(rename="dimensionNames")] pub dimension_names: Option<Vec<String>>, /// The metric header for the metric in the pivot. pub metric: Option<MetricHeaderEntry>, } impl Part for PivotHeaderEntry {} /// Used to return a list of metrics for a single DateRange / dimension /// combination /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct DateRangeValues { /// Each value corresponds to each Metric in the request. pub values: Option<Vec<String>>, /// The values of each pivot region. #[serde(rename="pivotValueRegions")] pub pivot_value_regions: Option<Vec<PivotValueRegion>>, } impl Part for DateRangeValues {} /// Defines a cohort group. /// For example: /// /// "cohortGroup": { /// "cohorts": [{ /// "name": "cohort 1", /// "type": "FIRST_VISIT_DATE", /// "dateRange": { "startDate": "2015-08-01", "endDate": "2015-08-01" } /// },{ /// "name": "cohort 2" /// "type": "FIRST_VISIT_DATE" /// "dateRange": { "startDate": "2015-07-01", "endDate": "2015-07-01" } /// }] /// } /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct CohortGroup { /// The definition for the cohort. pub cohorts: Option<Vec<Cohort>>, /// Enable Life Time Value (LTV). LTV measures lifetime value for users /// acquired through different channels. /// Please see: /// [Cohort Analysis](https://support.google.com/analytics/answer/6074676) and /// [Lifetime Value](https://support.google.com/analytics/answer/6182550) /// If the value of lifetimeValue is false: /// /// - The metric values are similar to the values in the web interface cohort /// report. /// - The cohort definition date ranges must be aligned to the calendar week /// and month. i.e. while requesting `ga:cohortNthWeek` the `startDate` in /// the cohort definition should be a Sunday and the `endDate` should be the /// following Saturday, and for `ga:cohortNthMonth`, the `startDate` /// should be the 1st of the month and `endDate` should be the last day /// of the month. /// /// When the lifetimeValue is true: /// /// - The metric values will correspond to the values in the web interface /// LifeTime value report. /// - The Lifetime Value report shows you how user value (Revenue) and /// engagement (Appviews, Goal Completions, Sessions, and Session Duration) /// grow during the 90 days after a user is acquired. /// - The metrics are calculated as a cumulative average per user per the time /// increment. /// - The cohort definition date ranges need not be aligned to the calendar /// week and month boundaries. /// - The `viewId` must be an /// [app view ID](https://support.google.com/analytics/answer/2649553#WebVersusAppViews) #[serde(rename="lifetimeValue")] pub lifetime_value: Option<bool>, } impl Part for CohortGroup {} /// Dimension filter specifies the filtering options on a dimension. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct DimensionFilter { /// The dimension to filter on. A DimensionFilter must contain a dimension. #[serde(rename="dimensionName")] pub dimension_name: Option<String>, /// How to match the dimension to the expression. The default is REGEXP. pub operator: Option<String>, /// Strings or regular expression to match against. Only the first value of /// the list is used for comparison unless the operator is `IN_LIST`. /// If `IN_LIST` operator, then the entire list is used to filter the /// dimensions as explained in the description of the `IN_LIST` operator. pub expressions: Option<Vec<String>>, /// Logical `NOT` operator. If this boolean is set to true, then the matching /// dimension values will be excluded in the report. The default is false. pub not: Option<bool>, /// Should the match be case sensitive? Default is false. #[serde(rename="caseSensitive")] pub case_sensitive: Option<bool>, } impl Part for DimensionFilter {} /// The headers for the metrics. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct MetricHeader { /// Headers for the pivots in the response. #[serde(rename="pivotHeaders")] pub pivot_headers: Option<Vec<PivotHeader>>, /// Headers for the metrics in the response. #[serde(rename="metricHeaderEntries")] pub metric_header_entries: Option<Vec<MetricHeaderEntry>>, } impl Part for MetricHeader {} /// A segment sequence definition. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct SegmentSequenceStep { /// Specifies if the step immediately precedes or can be any time before the /// next step. #[serde(rename="matchType")] pub match_type: Option<String>, /// A sequence is specified with a list of Or grouped filters which are /// combined with `AND` operator. #[serde(rename="orFiltersForSegment")] pub or_filters_for_segment: Option<Vec<OrFiltersForSegment>>, } impl Part for SegmentSequenceStep {} /// [Dimensions](https://support.google.com/analytics/answer/1033861) /// are attributes of your data. For example, the dimension `ga:city` /// indicates the city, for example, "Paris" or "New York", from which /// a session originates. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct Dimension { /// Name of the dimension to fetch, for example `ga:browser`. pub name: Option<String>, /// If non-empty, we place dimension values into buckets after string to /// int64. Dimension values that are not the string representation of an /// integral value will be converted to zero. The bucket values have to be in /// increasing order. Each bucket is closed on the lower end, and open on the /// upper end. The "first" bucket includes all values less than the first /// boundary, the "last" bucket includes all values up to infinity. Dimension /// values that fall in a bucket get transformed to a new dimension value. For /// example, if one gives a list of "0, 1, 3, 4, 7", then we return the /// following buckets: /// /// - bucket #1: values < 0, dimension value "<0" /// - bucket #2: values in [0,1), dimension value "0" /// - bucket #3: values in [1,3), dimension value "1-2" /// - bucket #4: values in [3,4), dimension value "3" /// - bucket #5: values in [4,7), dimension value "4-6" /// - bucket #6: values >= 7, dimension value "7+" /// /// NOTE: If you are applying histogram mutation on any dimension, and using /// that dimension in sort, you will want to use the sort type /// `HISTOGRAM_BUCKET` for that purpose. Without that the dimension values /// will be sorted according to dictionary /// (lexicographic) order. For example the ascending dictionary order is: /// /// "<50", "1001+", "121-1000", "50-120" /// /// And the ascending `HISTOGRAM_BUCKET` order is: /// /// "<50", "50-120", "121-1000", "1001+" /// /// The client has to explicitly request `"orderType": "HISTOGRAM_BUCKET"` /// for a histogram-mutated dimension. #[serde(rename="histogramBuckets")] pub histogram_buckets: Option<Vec<String>>, } impl Part for Dimension {} /// MetricFilter specifies the filter on a metric. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct MetricFilter { /// Is the metric `EQUAL`, `LESS_THAN` or `GREATER_THAN` the /// comparisonValue, the default is `EQUAL`. If the operator is /// `IS_MISSING`, checks if the metric is missing and would ignore the /// comparisonValue. pub operator: Option<String>, /// Logical `NOT` operator. If this boolean is set to true, then the matching /// metric values will be excluded in the report. The default is false. pub not: Option<bool>, /// The value to compare against. #[serde(rename="comparisonValue")] pub comparison_value: Option<String>, /// The metric that will be filtered on. A metricFilter must contain a metric /// name. A metric name can be an alias earlier defined as a metric or it can /// also be a metric expression. #[serde(rename="metricName")] pub metric_name: Option<String>, } impl Part for MetricFilter {} /// [Metrics](https://support.google.com/analytics/answer/1033861) /// are the quantitative measurements. For example, the metric `ga:users` /// indicates the total number of users for the requested time period. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct Metric { /// An alias for the metric expression is an alternate name for the /// expression. The alias can be used for filtering and sorting. This field /// is optional and is useful if the expression is not a single metric but /// a complex expression which cannot be used in filtering and sorting. /// The alias is also used in the response column header. pub alias: Option<String>, /// A metric expression in the request. An expression is constructed from one /// or more metrics and numbers. Accepted operators include: Plus (+), Minus /// (-), Negation (Unary -), Divided by (/), Multiplied by (*), Parenthesis, /// Positive cardinal numbers (0-9), can include decimals and is limited to /// 1024 characters. Example `ga:totalRefunds/ga:users`, in most cases the /// metric expression is just a single metric name like `ga:users`. /// Adding mixed `MetricType` (E.g., `CURRENCY` + `PERCENTAGE`) metrics /// will result in unexpected results. pub expression: Option<String>, /// Specifies how the metric expression should be formatted, for example /// `INTEGER`. #[serde(rename="formattingType")] pub formatting_type: Option<String>, } impl Part for Metric {} /// Dimension filter specifies the filtering options on a dimension. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct SegmentDimensionFilter { /// Name of the dimension for which the filter is being applied. #[serde(rename="dimensionName")] pub dimension_name: Option<String>, /// Should the match be case sensitive, ignored for `IN_LIST` operator. #[serde(rename="caseSensitive")] pub case_sensitive: Option<bool>, /// Minimum comparison values for `BETWEEN` match type. #[serde(rename="minComparisonValue")] pub min_comparison_value: Option<String>, /// The operator to use to match the dimension with the expressions. pub operator: Option<String>, /// The list of expressions, only the first element is used for all operators pub expressions: Option<Vec<String>>, /// Maximum comparison values for `BETWEEN` match type. #[serde(rename="maxComparisonValue")] pub max_comparison_value: Option<String>, } impl Part for SegmentDimensionFilter {} /// A list of segment filters in the `OR` group are combined with the logical OR /// operator. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct OrFiltersForSegment { /// List of segment filters to be combined with a `OR` operator. #[serde(rename="segmentFilterClauses")] pub segment_filter_clauses: Option<Vec<SegmentFilterClause>>, } impl Part for OrFiltersForSegment {} /// Filter Clause to be used in a segment definition, can be wither a metric or /// a dimension filter. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct SegmentFilterClause { /// Matches the complement (`!`) of the filter. pub not: Option<bool>, /// Dimension Filter for the segment definition. #[serde(rename="dimensionFilter")] pub dimension_filter: Option<SegmentDimensionFilter>, /// Metric Filter for the segment definition. #[serde(rename="metricFilter")] pub metric_filter: Option<SegmentMetricFilter>, } impl Part for SegmentFilterClause {} /// A group of dimension filters. Set the operator value to specify how /// the filters are logically combined. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct DimensionFilterClause { /// The operator for combining multiple dimension filters. If unspecified, it /// is treated as an `OR`. pub operator: Option<String>, /// The repeated set of filters. They are logically combined based on the /// operator specified. pub filters: Option<Vec<DimensionFilter>>, } impl Part for DimensionFilterClause {} /// Metric filter to be used in a segment filter clause. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct SegmentMetricFilter { /// Specifies is the operation to perform to compare the metric. The default /// is `EQUAL`. pub operator: Option<String>, /// Scope for a metric defines the level at which that metric is defined. The /// specified metric scope must be equal to or greater than its primary scope /// as defined in the data model. The primary scope is defined by if the /// segment is selecting users or sessions. pub scope: Option<String>, /// The value to compare against. If the operator is `BETWEEN`, this value is /// treated as minimum comparison value. #[serde(rename="comparisonValue")] pub comparison_value: Option<String>, /// Max comparison value is only used for `BETWEEN` operator. #[serde(rename="maxComparisonValue")] pub max_comparison_value: Option<String>, /// The metric that will be filtered on. A `metricFilter` must contain a /// metric name. #[serde(rename="metricName")] pub metric_name: Option<String>, } impl Part for SegmentMetricFilter {} /// The Pivot describes the pivot section in the request. /// The Pivot helps rearrange the information in the table for certain reports /// by pivoting your data on a second dimension. /// /// This type is not used in any activity, and only used as *part* of another schema. /// #[derive(Default, Clone, Debug, Serialize, Deserialize)] pub struct Pivot { /// The pivot metrics. Pivot metrics are part of the /// restriction on total number of metrics allowed in the request. pub metrics: Option<Vec<Metric>>, /// If k metrics were requested, then the response will contain some /// data-dependent multiple of k columns in the report. E.g., if you pivoted /// on the dimension `ga:browser` then you'd get k columns for "Firefox", k /// columns for "IE", k columns for "Chrome", etc. The ordering of the groups /// of columns is determined by descending order of "total" for the first of /// the k values. Ties are broken by lexicographic ordering of the first /// pivot dimension, then lexicographic ordering of the second pivot /// dimension, and so on. E.g., if the totals for the first value for /// Firefox, IE, and Chrome were 8, 2, 8, respectively, the order of columns /// would be Chrome, Firefox, IE. /// /// The following let you choose which of the groups of k columns are /// included in the response. #[serde(rename="startGroup")] pub start_group: Option<i32>, /// Specifies the maximum number of groups to return. /// The default value is 10, also the maximum value is 1,000. #[serde(rename="maxGroupCount")] pub max_group_count: Option<i32>, /// DimensionFilterClauses are logically combined with an `AND` operator: only /// data that is included by all these DimensionFilterClauses contributes to /// the values in this pivot region. Dimension filters can be used to restrict /// the columns shown in the pivot region. For example if you have /// `ga:browser` as the requested dimension in the pivot region, and you /// specify key filters to restrict `ga:browser` to only "IE" or "Firefox", /// then only those two browsers would show up as columns. #[serde(rename="dimensionFilterClauses")] pub dimension_filter_clauses: Option<Vec<DimensionFilterClause>>, /// A list of dimensions to show as pivot columns. A Pivot can have a maximum /// of 4 dimensions. Pivot dimensions are part of the restriction on the /// total number of dimensions allowed in the request. pub dimensions: Option<Vec<Dimension>>, } impl Part for Pivot {} // ################### // MethodBuilders ### // ################# /// A builder providing access to all methods supported on *report* resources. /// It is not used directly, but through the `AnalyticsReporting` hub. /// /// # Example /// /// Instantiate a resource builder /// /// ```test_harness,no_run /// extern crate hyper; /// extern crate hyper_rustls; /// extern crate yup_oauth2 as oauth2; /// extern crate google_analyticsreporting4 as analyticsreporting4; /// /// # #[test] fn egal() { /// use std::default::Default; /// use oauth2::{Authenticator, DefaultAuthenticatorDelegate, ApplicationSecret, MemoryStorage}; /// use analyticsreporting4::AnalyticsReporting; /// /// let secret: ApplicationSecret = Default::default(); /// let auth = Authenticator::new(&secret, DefaultAuthenticatorDelegate, /// hyper::Client::with_connector(hyper::net::HttpsConnector::new(hyper_rustls::TlsClient::new())), /// <MemoryStorage as Default>::default(), None); /// let mut hub = AnalyticsReporting::new(hyper::Client::with_connector(hyper::net::HttpsConnector::new(hyper_rustls::TlsClient::new())), auth); /// // Usually you wouldn't bind this to a variable, but keep calling *CallBuilders* /// // like `batch_get(...)` /// // to build up your call. /// let rb = hub.reports(); /// # } /// ``` pub struct ReportMethods<'a, C, A> where C: 'a, A: 'a { hub: &'a AnalyticsReporting<C, A>, } impl<'a, C, A> MethodsBuilder for ReportMethods<'a, C, A> {} impl<'a, C, A> ReportMethods<'a, C, A> { /// Create a builder to help you perform the following task: /// /// Returns the Analytics data. /// /// # Arguments /// /// * `request` - No description provided. pub fn batch_get(&self, request: GetReportsRequest) -> ReportBatchGetCall<'a, C, A> { ReportBatchGetCall { hub: self.hub, _request: request, _delegate: Default::default(), _scopes: Default::default(), _additional_params: Default::default(), } } } // ################### // CallBuilders ### // ################# /// Returns the Analytics data. /// /// A builder for the *batchGet* method supported by a *report* resource. /// It is not used directly, but through a `ReportMethods` instance. /// /// # Example /// /// Instantiate a resource method builder /// /// ```test_harness,no_run /// # extern crate hyper; /// # extern crate hyper_rustls; /// # extern crate yup_oauth2 as oauth2; /// # extern crate google_analyticsreporting4 as analyticsreporting4; /// use analyticsreporting4::GetReportsRequest; /// # #[test] fn egal() { /// # use std::default::Default; /// # use oauth2::{Authenticator, DefaultAuthenticatorDelegate, ApplicationSecret, MemoryStorage}; /// # use analyticsreporting4::AnalyticsReporting; /// /// # let secret: ApplicationSecret = Default::default(); /// # let auth = Authenticator::new(&secret, DefaultAuthenticatorDelegate, /// # hyper::Client::with_connector(hyper::net::HttpsConnector::new(hyper_rustls::TlsClient::new())), /// # <MemoryStorage as Default>::default(), None); /// # let mut hub = AnalyticsReporting::new(hyper::Client::with_connector(hyper::net::HttpsConnector::new(hyper_rustls::TlsClient::new())), auth); /// // As the method needs a request, you would usually fill it with the desired information /// // into the respective structure. Some of the parts shown here might not be applicable ! /// // Values shown here are possibly random and not representative ! /// let mut req = GetReportsRequest::default(); /// /// // You can configure optional parameters by calling the respective setters at will, and /// // execute the final call using `doit()`. /// // Values shown here are possibly random and not representative ! /// let result = hub.reports().batch_get(req) /// .doit(); /// # } /// ``` pub struct ReportBatchGetCall<'a, C, A> where C: 'a, A: 'a { hub: &'a AnalyticsReporting<C, A>, _request: GetReportsRequest, _delegate: Option<&'a mut Delegate>, _additional_params: HashMap<String, String>, _scopes: BTreeMap<String, ()> } impl<'a, C, A> CallBuilder for ReportBatchGetCall<'a, C, A> {} impl<'a, C, A> ReportBatchGetCall<'a, C, A> where C: BorrowMut<hyper::Client>, A: oauth2::GetToken { /// Perform the operation you have build so far. pub fn doit(mut self) -> Result<(hyper::client::Response, GetReportsResponse)> { use std::io::{Read, Seek}; use hyper::header::{ContentType, ContentLength, Authorization, Bearer, UserAgent, Location}; let mut dd = DefaultDelegate; let mut dlg: &mut Delegate = match self._delegate { Some(d) => d, None => &mut dd }; dlg.begin(MethodInfo { id: "analyticsreporting.reports.batchGet", http_method: hyper::method::Method::Post }); let mut params: Vec<(&str, String)> = Vec::with_capacity(3 + self._additional_params.len()); for &field in ["alt"].iter() { if self._additional_params.contains_key(field) { dlg.finished(false); return Err(Error::FieldClash(field)); } } for (name, value) in self._additional_params.iter() { params.push((&name, value.clone())); } params.push(("alt", "json".to_string())); let mut url = self.hub._base_url.clone() + "v4/reports:batchGet"; if self._scopes.len() == 0 { self._scopes.insert(Scope::Analytic.as_ref().to_string(), ()); } if params.len() > 0 { url.push('?'); url.push_str(&url::form_urlencoded::serialize(params)); } let mut json_mime_type = mime::Mime(mime::TopLevel::Application, mime::SubLevel::Json, Default::default()); let mut request_value_reader = { let mut value = json::value::to_value(&self._request).expect("serde to work"); remove_json_null_values(&mut value); let mut dst = io::Cursor::new(Vec::with_capacity(128)); json::to_writer(&mut dst, &value).unwrap(); dst }; let request_size = request_value_reader.seek(io::SeekFrom::End(0)).unwrap(); request_value_reader.seek(io::SeekFrom::Start(0)).unwrap(); loop { let token = match self.hub.auth.borrow_mut().token(self._scopes.keys()) { Ok(token) => token, Err(err) => { match dlg.token(&*err) { Some(token) => token, None => { dlg.finished(false); return Err(Error::MissingToken(err)) } } } }; let auth_header = Authorization(Bearer { token: token.access_token }); request_value_reader.seek(io::SeekFrom::Start(0)).unwrap(); let mut req_result = { let mut client = &mut *self.hub.client.borrow_mut(); let mut req = client.borrow_mut().request(hyper::method::Method::Post, &url) .header(UserAgent(self.hub._user_agent.clone())) .header(auth_header.clone()) .header(ContentType(json_mime_type.clone())) .header(ContentLength(request_size as u64)) .body(&mut request_value_reader); dlg.pre_request(); req.send() }; match req_result { Err(err) => { if let oauth2::Retry::After(d) = dlg.http_error(&err) { sleep(d); continue; } dlg.finished(false); return Err(Error::HttpError(err)) } Ok(mut res) => { if !res.status.is_success() { let mut json_err = String::new(); res.read_to_string(&mut json_err).unwrap(); if let oauth2::Retry::After(d) = dlg.http_failure(&res, json::from_str(&json_err).ok(), json::from_str(&json_err).ok()) { sleep(d); continue; } dlg.finished(false); return match json::from_str::<ErrorResponse>(&json_err){ Err(_) => Err(Error::Failure(res)), Ok(serr) => Err(Error::BadRequest(serr)) } } let result_value = { let mut json_response = String::new(); res.read_to_string(&mut json_response).unwrap(); match json::from_str(&json_response) { Ok(decoded) => (res, decoded), Err(err) => { dlg.response_json_decode_error(&json_response, &err); return Err(Error::JsonDecodeError(json_response, err)); } } }; dlg.finished(true); return Ok(result_value) } } } } /// /// Sets the *request* property to the given value. /// /// Even though the property as already been set when instantiating this call, /// we provide this method for API completeness. pub fn request(mut self, new_value: GetReportsRequest) -> ReportBatchGetCall<'a, C, A> { self._request = new_value; self } /// The delegate implementation is consulted whenever there is an intermediate result, or if something goes wrong /// while executing the actual API request. /// /// It should be used to handle progress information, and to implement a certain level of resilience. /// /// Sets the *delegate* property to the given value. pub fn delegate(mut self, new_value: &'a mut Delegate) -> ReportBatchGetCall<'a, C, A> { self._delegate = Some(new_value); self } /// Set any additional parameter of the query string used in the request. /// It should be used to set parameters which are not yet available through their own /// setters. /// /// Please note that this method must not be used to set any of the known paramters /// which have their own setter method. If done anyway, the request will fail. /// /// # Additional Parameters /// /// * *upload_protocol* (query-string) - Upload protocol for media (e.g. "raw", "multipart"). /// * *prettyPrint* (query-boolean) - Returns response with indentations and line breaks. /// * *access_token* (query-string) - OAuth access token. /// * *uploadType* (query-string) - Legacy upload protocol for media (e.g. "media", "multipart"). /// * *quotaUser* (query-string) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. /// * *callback* (query-string) - JSONP /// * *oauth_token* (query-string) - OAuth 2.0 token for the current user. /// * *key* (query-string) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token. /// * *fields* (query-string) - Selector specifying which fields to include in a partial response. /// * *alt* (query-string) - Data format for response. /// * *$.xgafv* (query-string) - V1 error format. pub fn param<T>(mut self, name: T, value: T) -> ReportBatchGetCall<'a, C, A> where T: AsRef<str> { self._additional_params.insert(name.as_ref().to_string(), value.as_ref().to_string()); self } /// Identifies the authorization scope for the method you are building. /// /// Use this method to actively specify which scope should be used, instead the default `Scope` variant /// `Scope::Analytic`. /// /// The `scope` will be added to a set of scopes. This is important as one can maintain access /// tokens for more than one scope. /// If `None` is specified, then all scopes will be removed and no default scope will be used either. /// In that case, you have to specify your API-key using the `key` parameter (see the `param()` /// function for details). /// /// Usually there is more than one suitable scope to authorize an operation, some of which may /// encompass more rights than others. For example, for listing resources, a *read-only* scope will be /// sufficient, a read-write scope will do as well. pub fn add_scope<T, S>(mut self, scope: T) -> ReportBatchGetCall<'a, C, A> where T: Into<Option<S>>, S: AsRef<str> { match scope.into() { Some(scope) => self._scopes.insert(scope.as_ref().to_string(), ()), None => None, }; self } }