dataset

package
v2.96.9 Latest Latest
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 Go to latest Published: Mar 4, 2022 License: MIT Imports: 20 Imported by: 90

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Index

Constants

This section is empty.

Variables

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var ErrBatchETagMismatch = errors.New("ETag value changed from one batch to another")
View Source 
var MaxIDs = func() int {
	return maxIDs
}

MaxIDs returns the maximum number of IDs acceptable in a list

Functions

This section is empty.

Types

type Alert 

type Alert struct {
	Date        string `json:"date"`
	Description string `json:"description"`
	Type        string `json:"type"`
}

Alert represents an alert returned by the dataset api

type BuildHierarchyTask 

type BuildHierarchyTask struct {
	State         string `json:"state,omitempty"`
	DimensionName string `json:"dimension_name,omitempty"`
	CodeListID    string `json:"code_list_id,omitempty"`
}

BuildHierarchyTask represents a task of importing a single hierarchy.

type BuildSearchIndexTask 

type BuildSearchIndexTask struct {
	State         string `json:"state,omitempty"`
	DimensionName string `json:"dimension_name,omitempty"`
}

BuildSearchIndexTask represents a task of importing a single search index into search.

type Change 

type Change struct {
	Description string `json:"description"`
	Name        string `json:"name"`
	Type        string `json:"type"`
}

Change represents a change returned for a version by the dataset api

type Client 

type Client struct {
	// contains filtered or unexported fields
}

Client is a dataset api client which can be used to make requests to the server

func NewAPIClient 

func NewAPIClient(datasetAPIURL string) *Client

NewAPIClient creates a new instance of Client with a given dataset api url and the relevant tokens

func NewAPIClientWithMaxRetries 

func NewAPIClientWithMaxRetries(datasetAPIURL string, maxRetries int) *Client

NewAPIClientWithMaxRetries creates a new instance of Client with a given dataset api url and the relevant tokens, setting a number of max retires for the HTTP client

func NewWithHealthClient 

func NewWithHealthClient(hcCli *healthcheck.Client) *Client

NewWithHealthClient creates a new instance of Client, reusing the URL and Clienter from the provided health check client.

func (*Client) Checker 

func (c *Client) Checker(ctx context.Context, check *health.CheckState) error

Checker calls dataset api health endpoint and returns a check object to the caller.

func (*Client) Get 

func (c *Client) Get(ctx context.Context, userAuthToken, serviceAuthToken, collectionID, datasetID string) (m DatasetDetails, err error)

Get returns dataset level information for a given dataset id

func (*Client) GetByPath 

func (c *Client) GetByPath(ctx context.Context, userAuthToken, serviceAuthToken, collectionID, path string) (m DatasetDetails, err error)

GetByPath returns dataset level information for a given dataset path

func (*Client) GetDatasetCurrentAndNext 

func (c *Client) GetDatasetCurrentAndNext(ctx context.Context, userAuthToken, serviceAuthToken, collectionID, datasetID string) (m Dataset, err error)

GetDatasetCurrentAndNext returns dataset level information but contains both next and current documents

func (*Client) GetDatasets 

func (c *Client) GetDatasets(ctx context.Context, userAuthToken, serviceAuthToken, collectionID string, q *QueryParams) (m List, err error)

GetDatasets returns the list of datasets

func (*Client) GetDatasetsBatchProcess 

func (c *Client) GetDatasetsBatchProcess(ctx context.Context, userAuthToken, serviceAuthToken, collectionID string, processBatch DatasetsBatchProcessor, batchSize, maxWorkers int) error

GetDatasetsBatchProcess gets the datasets from the dataset API in batches, calling the provided function for each batch.

func (*Client) GetDatasetsInBatches 

func (c *Client) GetDatasetsInBatches(ctx context.Context, userAuthToken, serviceAuthToken, collectionID string, batchSize, maxWorkers int) (datasets List, err error)

GetDatasetsInBatches retrieves a list of datasets in concurrent batches and accumulates the results

func (*Client) GetEdition 

func (c *Client) GetEdition(ctx context.Context, userAuthToken, serviceAuthToken, collectionID, datasetID, edition string) (m Edition, err error)

GetEdition retrieves a single edition document from a given datasetID and edition label

func (*Client) GetEditions 

func (c *Client) GetEditions(ctx context.Context, userAuthToken, serviceAuthToken, collectionID, datasetID string) (m []Edition, err error)

GetEditions returns all editions for a dataset

func (*Client) GetInstance 

func (c *Client) GetInstance(ctx context.Context, userAuthToken, serviceAuthToken, collectionID, instanceID, ifMatch string) (m Instance, eTag string, err error)

GetInstance returns an instance from the dataset api

func (*Client) GetInstanceBytes 

func (c *Client) GetInstanceBytes(ctx context.Context, userAuthToken, serviceAuthToken, collectionID, instanceID, ifMatch string) (b []byte, eTag string, err error)

GetInstanceBytes returns an instance as bytes from the dataset api

func (*Client) GetInstanceDimensions 

func (c *Client) GetInstanceDimensions(ctx context.Context, serviceAuthToken, instanceID string, q *QueryParams, ifMatch string) (m Dimensions, eTag string, err error)

GetInstanceDimensions performs a 'GET /instances/<id>/dimensions' and returns the marshalled Dimensions struct

func (*Client) GetInstanceDimensionsBatchProcess 

func (c *Client) GetInstanceDimensionsBatchProcess(ctx context.Context, serviceAuthToken, instanceID string, processBatch InstanceDimensionsBatchProcessor, batchSize, maxWorkers int, checkETag bool) (eTag string, err error)

GetInstanceDimensionsBatchProcess gets the instance dimensions from the dataset API in batches, calling the provided function for each batch.

func (*Client) GetInstanceDimensionsBytes 

func (c *Client) GetInstanceDimensionsBytes(ctx context.Context, serviceAuthToken, instanceID string, q *QueryParams, ifMatch string) (b []byte, eTag string, err error)

GetInstanceDimensionsBytes returns a list of dimensions for an instance as bytes from the dataset api

func (*Client) GetInstanceDimensionsInBatches 

func (c *Client) GetInstanceDimensionsInBatches(ctx context.Context, serviceAuthToken, instanceID string, batchSize, maxWorkers int) (dimensions Dimensions, eTag string, err error)

func (*Client) GetInstances 

func (c *Client) GetInstances(ctx context.Context, userAuthToken, serviceAuthToken, collectionID string, vars url.Values) (m Instances, err error)

GetInstances returns a list of all instances filtered by vars

func (*Client) GetInstancesBatchProcess 

func (c *Client) GetInstancesBatchProcess(ctx context.Context, userAuthToken, serviceAuthToken, collectionID string, vars url.Values, processBatch InstancesBatchProcessor, batchSize, maxWorkers int) error

GetInstancesBatchProcess gets the instances from the dataset API in batches, calling the provided function for each batch.

func (*Client) GetInstancesInBatches 

func (c *Client) GetInstancesInBatches(ctx context.Context, userAuthToken, serviceAuthToken, collectionID string, vars url.Values, batchSize, maxWorkers int) (instances Instances, err error)

func (*Client) GetMetadataURL 

func (c *Client) GetMetadataURL(id, edition, version string) string

GetMetadataURL returns the URL for the metadata of a given dataset id, edition and version

func (*Client) GetOptions 

func (c *Client) GetOptions(ctx context.Context, userAuthToken, serviceAuthToken, collectionID, id, edition, version, dimension string, q *QueryParams) (m Options, err error)

GetOptions will return the options for a dimension

func (*Client) GetOptionsBatchProcess 

func (c *Client) GetOptionsBatchProcess(ctx context.Context, userAuthToken, serviceAuthToken, collectionID, id, edition, version, dimension string, optionIDs *[]string, processBatch OptionsBatchProcessor, batchSize, maxWorkers int) error

GetOptionsBatchProcess gets the dataset options for a dimension from dataset API in batches, and calls the provided function for each batch. If optionIDs is provided, only the options with the provided IDs will be requested

func (*Client) GetOptionsInBatches 

func (c *Client) GetOptionsInBatches(ctx context.Context, userAuthToken, serviceAuthToken, collectionID, id, edition, version, dimension string, batchSize, maxWorkers int) (opts Options, err error)

GetOptionsInBatches retrieves a list of the dimension options in concurrent batches and accumulates the results

func (*Client) GetVersion 

func (c *Client) GetVersion(ctx context.Context, userAuthToken, serviceAuthToken, downloadServiceAuthToken, collectionID, datasetID, edition, version string) (m Version, err error)

GetVersion gets a specific version for an edition from the dataset api

func (*Client) GetVersionDimensions 

func (c *Client) GetVersionDimensions(ctx context.Context, userAuthToken, serviceAuthToken, collectionID, id, edition, version string) (m VersionDimensions, err error)

GetVersionDimensions will return a list of dimensions for a given version of a dataset

func (*Client) GetVersionMetadata 

func (c *Client) GetVersionMetadata(ctx context.Context, userAuthToken, serviceAuthToken, collectionID, id, edition, version string) (m Metadata, err error)

GetVersionMetadata returns the metadata for a given dataset id, edition and version

func (*Client) GetVersions 

func (c *Client) GetVersions(ctx context.Context, userAuthToken, serviceAuthToken, downloadServiceAuthToken, collectionID, datasetID, edition string, q *QueryParams) (m VersionsList, err error)

GetVersions gets all versions for an edition from the dataset api

func (*Client) GetVersionsBatchProcess 

func (c *Client) GetVersionsBatchProcess(ctx context.Context, userAuthToken, serviceAuthToken, downloadServiceAuthToken, collectionID, datasetID, edition string, processBatch VersionsBatchProcessor, batchSize, maxWorkers int) error

GetVersionsBatchProcess gets the datasets from the dataset API in batches, calling the provided function for each batch.

func (*Client) GetVersionsInBatches 

func (c *Client) GetVersionsInBatches(ctx context.Context, userAuthToken, serviceAuthToken, downloadServiceAuthToken, collectionID, datasetID, edition string, batchSize, maxWorkers int) (versions VersionsList, err error)

GetVersionsInBatches retrieves a list of datasets in concurrent batches and accumulates the results

func (*Client) PatchInstanceDimensionOption 

func (c *Client) PatchInstanceDimensionOption(ctx context.Context, serviceAuthToken, instanceID, dimensionID, optionID, nodeID string, order *int, ifMatch string) (eTag string, err error)

PatchInstanceDimensionOption performs a 'PATCH /instances/<id>/dimensions/<id>/options/<id>' to update the node_id and/or order of the specified dimension

func (*Client) PatchInstanceDimensions added in v2.1.12 

func (c *Client) PatchInstanceDimensions(ctx context.Context, serviceAuthToken, instanceID string, upserts []*OptionPost, updates []*OptionUpdate, ifMatch string) (eTag string, err error)

PatchInstanceDimensions performs a 'PATCH /instances/<id>/dimensions' with the provided List of Options to patch (upsert)

func (*Client) PostInstance 

func (c *Client) PostInstance(ctx context.Context, serviceAuthToken string, newInstance *NewInstance) (i *Instance, eTag string, err error)

PostInstance performs a POST /instances/ request with the provided instance marshalled as body

func (*Client) PostInstanceDimensions 

func (c *Client) PostInstanceDimensions(ctx context.Context, serviceAuthToken, instanceID string, data OptionPost, ifMatch string) (eTag string, err error)

PostInstanceDimensions performs a 'POST /instances/<id>/dimensions' with the provided OptionPost

func (*Client) PutDataset 

func (c *Client) PutDataset(ctx context.Context, userAuthToken, serviceAuthToken, collectionID, datasetID string, d DatasetDetails) error

PutDataset update the dataset

func (*Client) PutInstance 

func (c *Client) PutInstance(ctx context.Context, userAuthToken, serviceAuthToken, collectionID, instanceID string, i UpdateInstance, ifMatch string) (eTag string, err error)

PutInstance updates an instance

func (*Client) PutInstanceData 

func (c *Client) PutInstanceData(ctx context.Context, serviceAuthToken, instanceID string, data JobInstance, ifMatch string) (eTag string, err error)

PutInstanceData executes a put request to update instance data via the dataset API.

func (*Client) PutInstanceImportTasks 

func (c *Client) PutInstanceImportTasks(ctx context.Context, serviceAuthToken, instanceID string, data InstanceImportTasks, ifMatch string) (eTag string, err error)

PutInstanceImportTasks marks the import observation task state for an instance

func (*Client) PutInstanceState 

func (c *Client) PutInstanceState(ctx context.Context, serviceAuthToken, instanceID string, state State, ifMatch string) (eTag string, err error)

PutInstanceState performs a PUT '/instances/<id>' with the string representation of the provided state

func (*Client) PutVersion 

func (c *Client) PutVersion(ctx context.Context, userAuthToken, serviceAuthToken, collectionID, datasetID, edition, version string, v Version) error

PutVersion update the version

func (*Client) UpdateInstanceWithNewInserts 

func (c *Client) UpdateInstanceWithNewInserts(ctx context.Context, serviceAuthToken, instanceID string, observationsInserted int32, ifMatch string) (eTag string, err error)

UpdateInstanceWithNewInserts increments the observation inserted count for an instance

type CodeList 

type CodeList struct {
	ID          string `json:"id"`
	HRef        string `json:"href"`
	Name        string `json:"name"`
	IsHierarchy bool   `json:"is_hierarchy"`
}

CodeList holds one of the codelists corresponding to a new Instance

type Contact 

type Contact struct {
	Name      string `json:"name"`
	Telephone string `json:"telephone"`
	Email     string `json:"email"`
}

Contact represents a response model within a dataset

type Dataset 

type Dataset struct {
	ID      string          `json:"id"`
	Next    *DatasetDetails `json:"next,omitempty"`
	Current *DatasetDetails `json:"current,omitempty"`
	DatasetDetails
}

Dataset represents a dataset resource

type DatasetDetails 

type DatasetDetails struct {
	ID                string            `json:"id,omitempty"`
	CollectionID      string            `json:"collection_id,omitempty"`
	Contacts          *[]Contact        `json:"contacts,omitempty"`
	Description       string            `json:"description,omitempty"`
	Keywords          *[]string         `json:"keywords,omitempty"`
	License           string            `json:"license,omitempty"`
	Links             Links             `json:"links,omitempty"`
	Methodologies     *[]Methodology    `json:"methodologies,omitempty"`
	NationalStatistic bool              `json:"national_statistic,omitempty"`
	NextRelease       string            `json:"next_release,omitempty"`
	NomisReferenceURL string            `json:"nomis_reference_url,omitempty"`
	Publications      *[]Publication    `json:"publications,omitempty"`
	Publisher         *Publisher        `json:"publisher,omitempty"`
	QMI               Publication       `json:"qmi,omitempty"`
	RelatedDatasets   *[]RelatedDataset `json:"related_datasets,omitempty"`
	ReleaseFrequency  string            `json:"release_frequency,omitempty"`
	State             string            `json:"state,omitempty"`
	Theme             string            `json:"theme,omitempty"`
	Title             string            `json:"title,omitempty"`
	Type              string            `json:"type,omitempty"`
	UnitOfMeasure     string            `json:"unit_of_measure,omitempty"`
	URI               string            `json:"uri,omitempty"`
	IsBasedOn         *IsBasedOn        `json:"is_based_on,omitempty"`
}

DatasetDetails represents a response dataset model from the dataset api

type DatasetsBatchProcessor 

type DatasetsBatchProcessor func(List) (abort bool, err error)

DatasetsBatchProcessor is the type corresponding to a batch processing function for a dataset List.

type Dimension 

type Dimension struct {
	DimensionID string `json:"dimension"`
	InstanceID  string `json:"instance_id"`
	NodeID      string `json:"node_id,omitempty"`
	Label       string `json:"label"`
	Option      string `json:"option"`
	Links       Links  `json:"links"`
}

Dimension represents a response model for a dimension endpoint

type Dimensions 

type Dimensions struct {
	Items      []Dimension `json:"items"`
	Count      int         `json:"count"`
	Offset     int         `json:"offset"`
	Limit      int         `json:"limit"`
	TotalCount int         `json:"total_count"`
}

Dimensions represents a list of dimensions

type Download 

type Download struct {
	URL     string `json:"href"`
	Size    string `json:"size"`
	Public  string `json:"public,omitempty"`
	Private string `json:"private,omitempty"`
}

Download represents a version download from the dataset api

type DownloadList 

type DownloadList struct {
	CSV  *Download `json:"csv,omitempty"`
	CSVW *Download `json:"csvw,omitempty"`
	XLS  *Download `json:"xls,omitempty"`
}

DownloadList represents a list of objects of containing information on the downloadable files

type Edition 

type Edition struct {
	Edition string `json:"edition"`
	ID      string `json:"id"`
	Links   Links  `json:"links"`
	State   string `json:"state"`
}

Edition represents an edition within a dataset

type ErrInvalidDatasetAPIResponse 

type ErrInvalidDatasetAPIResponse struct {
	// contains filtered or unexported fields
}

ErrInvalidDatasetAPIResponse is returned when the dataset api does not respond with a valid status

func NewDatasetAPIResponse 

func NewDatasetAPIResponse(resp *http.Response, uri string) (e *ErrInvalidDatasetAPIResponse)

NewDatasetAPIResponse creates an error response, optionally adding body to e when status is 404

func (ErrInvalidDatasetAPIResponse) Code 

func (e ErrInvalidDatasetAPIResponse) Code() int

Code returns the status code received from dataset api if an error is returned

func (ErrInvalidDatasetAPIResponse) Error 

func (e ErrInvalidDatasetAPIResponse) Error() string

Error should be called by the user to print out the stringified version of the error

type Event 

type Event struct {
	Type          string `json:"type"`
	Time          string `json:"time"`
	Message       string `json:"message"`
	MessageOffset string `json:"messageOffset"`
}

Event holds one of the event which has happened to a new Instance

type ImportObservationsTask 

type ImportObservationsTask struct {
	State                string `json:"state,omitempty"`
	InsertedObservations int64  `json:"total_inserted_observations,omitempty"`
}

ImportObservationsTask represents the task of importing instance observation data into the database.

type Instance 

type Instance struct {
	Version
}

Instance represents an instance within a dataset

type InstanceDimensionsBatchProcessor 

type InstanceDimensionsBatchProcessor func(dimensions Dimensions, eTag string) (abort bool, err error)

InstanceDimensionsBatchProcessor is the type corresponding to a batch processing function for Instance dimensions

type InstanceImportTasks 

type InstanceImportTasks struct {
	ImportObservations    *ImportObservationsTask `json:"import_observations"`
	BuildHierarchyTasks   []*BuildHierarchyTask   `json:"build_hierarchies"`
	BuildSearchIndexTasks []*BuildSearchIndexTask `json:"build_search_indexes"`
}

InstanceImportTasks represents all of the tasks required to complete an import job.

type Instances 

type Instances struct {
	Items      []Instance `json:"items"`
	Count      int        `json:"count"`
	Offset     int        `json:"offset"`
	Limit      int        `json:"limit"`
	TotalCount int        `json:"total_count"`
}

Instances represent a list of Instance objects

type InstancesBatchProcessor 

type InstancesBatchProcessor func(Instances) (abort bool, err error)

InstancesBatchProcessor is the type corresponding to a batch processing function for Instances

type IsBasedOn 

type IsBasedOn struct {
	Type string `json:"@type"`
	ID   string `json:"@id"`
}

IsBasedOn is a special set of json-ld metadata for Cantabular datasets For more information on json-ld markup see: https://moz.com/blog/json-ld-for-beginners

type JobInstance 

type JobInstance struct {
	HeaderNames          []string `json:"headers"`
	NumberOfObservations int      `json:"total_observations"`
}

JobInstance represents the details necessary to update (PUT) a job instance 

type Link struct {
	URL string `json:"href"`
	ID  string `json:"id,omitempty"`
}

Link represents a single link within a dataset model 

type Links struct {
	AccessRights  Link `json:"access_rights,omitempty"`
	Dataset       Link `json:"dataset,omitempty"`
	Dimensions    Link `json:"dimensions,omitempty"`
	Edition       Link `json:"edition,omitempty"`
	Editions      Link `json:"editions,omitempty"`
	LatestVersion Link `json:"latest_version,omitempty"`
	Versions      Link `json:"versions,omitempty"`
	Self          Link `json:"self,omitempty"`
	CodeList      Link `json:"code_list,omitempty"`
	Options       Link `json:"options,omitempty"`
	Version       Link `json:"version,omitempty"`
	Code          Link `json:"code,omitempty"`
	Taxonomy      Link `json:"taxonomy,omitempty"`
	Job           Link `json:"job,omitempty"`
}

Links represent the Links within a dataset model

type List 

type List struct {
	Items      []Dataset `json:"items"`
	Count      int       `json:"count"`
	Offset     int       `json:"offset"`
	Limit      int       `json:"limit"`
	TotalCount int       `json:"total_count"`
}

List represents an object containing a list of datasets

type Metadata 

type Metadata struct {
	Version
	DatasetDetails
	DatasetLinks Links `json:"dataset_links,omitempty"`
}

Metadata is a combination of version and dataset model fields

func (Metadata) ToString 

func (m Metadata) ToString() string

ToString builds a string of metadata information

type Methodology 

type Methodology struct {
	Description string `json:"description"`
	URL         string `json:"href"`
	Title       string `json:"title"`
}

Methodology represents a methodology document returned by the dataset api

type NewInstance 

type NewInstance struct {
	InstanceID        string               `json:"id,omitempty"`
	Links             *Links               `json:"links,omitempty"`
	State             string               `json:"state,omitempty"`
	Events            []Event              `json:"events,omitempty"`
	TotalObservations int                  `json:"total_observations,omitempty"`
	Headers           []string             `json:"headers,omitempty"`
	Dimensions        []CodeList           `json:"dimensions,omitempty"`
	LastUpdated       string               `json:"last_updated,omitempty"`
	ImportTasks       *InstanceImportTasks `json:"import_tasks"`
	Type              string               `json:"type,omitempty"`
}

NewInstance which presents a single dataset being imported

type Option 

type Option struct {
	DimensionID string `json:"dimension"`
	Label       string `json:"label"`
	Links       Links  `json:"links"`
	Option      string `json:"option"`
}

Option represents a response model for an option

type OptionPost 

type OptionPost struct {
	Code     string `json:"code"`
	CodeList string `json:"code_list,omitempty"`
	Label    string `json:"label"`
	Name     string `json:"dimension"`
	Option   string `json:"option"`
	Order    *int   `json:"order,omitempty"`
}

OptionPost represents an option model to store in the dataset api

type OptionUpdate added in v2.3.0 

type OptionUpdate struct {
	Option string
	Name   string
	Order  *int
	NodeID string
}

OptionUpdate represents an update for an existing option. The information provided in the struct will be used to generate a patch operation

type Options 

type Options struct {
	Items      []Option `json:"items"`
	Count      int      `json:"count"`
	Offset     int      `json:"offset"`
	Limit      int      `json:"limit"`
	TotalCount int      `json:"total_count"`
}

Options represents a list of options from the dataset api

func (Options) String 

func (m Options) String() string

type OptionsBatchProcessor 

type OptionsBatchProcessor func(Options) (abort bool, err error)

OptionsBatchProcessor is the type corresponding to a batch processing function for dataset Options

type Publication 

type Publication struct {
	Description string `json:"description"`
	URL         string `json:"href"`
	Title       string `json:"title"`
}

Publication represents a publication document returned by the dataset api

type Publisher 

type Publisher struct {
	URL  string `json:"href"`
	Name string `json:"name"`
	Type string `json:"type"`
}

Publisher represents the publisher within the dataset

type QueryParams 

type QueryParams struct {
	Offset int
	Limit  int
	IDs    []string
}

QueryParams represents the possible query parameters that a caller can provide

func (*QueryParams) Validate 

func (q *QueryParams) Validate() error

Validate validates tht no negative values are provided for limit or offset, and that the length of IDs is lower than the maximum Also escapes all IDs, so that they can be safely used as query parameters in requests

type RelatedDataset 

type RelatedDataset struct {
	URL   string `json:"href"`
	Title string `json:"title"`
}

RelatedDataset represents a related dataset document returned by the dataset api

type State 

type State int

State - iota enum of possible states 

const (
	StateCreated State = iota
	StateSubmitted
	StateCompleted        // Instances only
	StateFailed           // Instances only
	StateEditionConfirmed // instances and versions only
	StateAssociated       // not editions
	StatePublished
	StateDetached
)

Possible values for a State of the resource. It can only be one of the following: TODO these states should be enforced in all the 'POST' and 'PUT' operations that can modify states of resources

func (State) String 

func (s State) String() string

String returns the string representation of a state

type Temporal 

type Temporal struct {
	StartDate string `json:"start_date"`
	EndDate   string `json:"end_date"`
	Frequency string `json:"frequency"`
}

Temporal represents a temporal returned by the dataset api

type UpdateInstance 

type UpdateInstance struct {
	Alerts               *[]Alert             `json:"alerts"`
	CollectionID         string               `json:"collection_id"`
	Downloads            DownloadList         `json:"downloads"`
	Edition              string               `json:"edition"`
	Dimensions           []VersionDimension   `json:"dimensions"`
	ID                   string               `json:"id"`
	InstanceID           string               `json:"instance_id"`
	LatestChanges        []Change             `json:"latest_changes"`
	ReleaseDate          string               `json:"release_date"`
	State                string               `json:"state"`
	Temporal             []Temporal           `json:"temporal"`
	Version              int                  `json:"version"`
	NumberOfObservations int64                `json:"total_observations,omitempty"`
	ImportTasks          *InstanceImportTasks `json:"import_tasks,omitempty"`
	CSVHeader            []string             `json:"headers,omitempty"`
	Type                 string               `json:"type,omitempty"`
	IsBasedOn            *IsBasedOn           `json:"is_based_on,omitempty"`
}

type UsageNote 

type UsageNote struct {
	Note  string `json:"note,omitempty"`
	Title string `json:"title,omitempty"`
}

UsageNote represents a note containing extra information associated to the resource

type Version 

type Version struct {
	Alerts               *[]Alert             `json:"alerts"`
	CollectionID         string               `json:"collection_id"`
	Downloads            map[string]Download  `json:"downloads"`
	Edition              string               `json:"edition"`
	Dimensions           []VersionDimension   `json:"dimensions"`
	ID                   string               `json:"id"`
	InstanceID           string               `json:"instance_id"`
	LatestChanges        []Change             `json:"latest_changes"`
	Links                Links                `json:"links,omitempty"`
	ReleaseDate          string               `json:"release_date"`
	State                string               `json:"state"`
	Temporal             []Temporal           `json:"temporal"`
	Version              int                  `json:"version"`
	NumberOfObservations int64                `json:"total_observations,omitempty"`
	ImportTasks          *InstanceImportTasks `json:"import_tasks,omitempty"`
	CSVHeader            []string             `json:"headers,omitempty"`
	UsageNotes           *[]UsageNote         `json:"usage_notes,omitempty"`
	IsBasedOn            *IsBasedOn           `json:"is_based_on,omitempty"`
}

Version represents a version within a dataset

type VersionDimension 

type VersionDimension struct {
	ID              string `json:"id"`
	Name            string `json:"name"`
	Links           Links  `json:"links"`
	Description     string `json:"description"`
	Label           string `json:"label"`
	URL             string `json:"href,omitempty"`
	Variable        string `json:"variable,omitempty"`
	NumberOfOptions int    `json:"number_of_options,omitempty"`
}

VersionDimension represents a dimension model nested in the Version model

type VersionDimensionItems 

type VersionDimensionItems []VersionDimension

VersionDimensionItems represents a list of Version Dimensions

func (VersionDimensionItems) Len 

func (d VersionDimensionItems) Len() int

func (VersionDimensionItems) Less 

func (d VersionDimensionItems) Less(i, j int) bool

func (VersionDimensionItems) Swap 

func (d VersionDimensionItems) Swap(i, j int)

type VersionDimensions 

type VersionDimensions struct {
	Items VersionDimensionItems `json:"items"`
}

VersionDimensions represent a list of versionDimension

type VersionsBatchProcessor 

type VersionsBatchProcessor func(VersionsList) (abort bool, err error)

VersionsBatchProcessor is the type corresponding to a batch processing function for a dataset List.

type VersionsList 

type VersionsList struct {
	Items      []Version `json:"items"`
	Count      int       `json:"count"`
	Offset     int       `json:"offset"`
	Limit      int       `json:"limit"`
	TotalCount int       `json:"total_count"`
}

VersionsList represents an object containing a list of datasets

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