Members
(static, constant) createPaginationTemplateParams
Potentially Updates req with pagination
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(static, constant) expectationFetcher
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(static, constant) expectations
The name field is used in queries.
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(static, constant) fetchDatasetPlatformInfo
Emulate fetchDatasetInfo but from Platform API and with more detail such as typology
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(static, constant) fetchEntitiesPlatformDb
Middleware. Updates req with 'entities' same as fetchEntities so not to be used together!
Fetches entities from the Platform API (mainWebsiteUrl) instead of Datasette. Uses REST API with query parameters instead of SQL, made in line with fetch spec pattern to allow easy swapping.
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(static, constant) fetchLatestResource
Middleware. Updates req with resource.
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(static, constant) getSetDataRange
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(static, constant) isResourceIdValid
Was the resource accessed successfully via HTTP?
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(static, constant) logPageError
Middleware. Set req.handlerName to a string that will identify
the function that threw the error.
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(static, constant) prepareAuthority
Middleware to determine authority level based on entity quality Queries the Platform API twice: first for 'authoritative' quality, then for 'some' quality if needed, only needs 1 result
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(static, constant) preventIndexing
Middleware. Prevents indexing of certain pages
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(static, constant) setAvailableDatasets
Provides the list of available/supported datasets.
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Methods
(static) noop(req, res, next)
Middleware.
Parameters:
| Name | Type | Description |
|---|---|---|
req |
* | request object |
res |
* | response object |
next |
* | next function |
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(static) validateQueryParamsFn(req, res, next)
Middleware. Validates query params according to schema.
Short circuits with 400 error if validation fails. Potentially updates req with parsedParams
this needs: { schema }
Parameters:
| Name | Type | Description |
|---|---|---|
req |
* | |
res |
* | |
next |
* |
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(inner) processEntitiesMiddleware()
Middleware chain to process entities and prepare them for the issue table
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(inner) processSpecificationMiddleware()
Middleware chain to process the dataset specification and prepare it for the issue table, conditional execution on whether a specification exists
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