Difference between revisions of "Asynchronous Data Validation and Transformation"

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[[Category:WebService]]
 
[[Category:WebService]]
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= Overview =
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The Asynchronous Data Load web service consumes a submitted file for Validation.  On receipt of the file, the service returns a UID (token), which can be used to track the validation process, and perform further actions such as transformation to another format, or publish to a database once validation has completed.
 +
 +
The Fusion Registry stores the data on the instance it was sent to, so in a load balanced system, the same server must be accessed, if there is no activity on the file for 15 minutes, the registry will automatically remove the file from its cache.
 +
 
= Asynchronous Data Load =
 
= Asynchronous Data Load =
 
{| class="wikitable"
 
{| class="wikitable"
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== Data Load Response ==
 
== Data Load Response ==
−
The response to a data load is a token, which can be used in subsequent calls to track the data load and validation process and, once validation is complete, the token can be used to perform actions such as a pulish, obtain validation report, export in a different format, or export with mapping.
+
The response to a data load is a token, which can be used in subsequent calls to track the data load and validation process and, once validation is complete, the token can be used to perform actions such as a publish, obtain validation report, export in a different format, or export with mapping.
  
 
  {
 
  {
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  "Success" : true,
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    "Success" : true,
−
     "uid"   : "unique token"
+
     "uid"     : "unique token"
 
  }
 
  }
  
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| Validating || The dataset is being validated
 
| Validating || The dataset is being validated
 
|-
 
|-
−
| Complete || The dataset validation process has finished, there may/man not be errors
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| Complete || The dataset validation process has finished, there may/may not be errors
 
|-
 
|-
 
| Consolidating || The dataset is being consolidated, duplicate series and observations are being merged into one final dataset
 
| Consolidating || The dataset is being consolidated, duplicate series and observations are being merged into one final dataset
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|}
 
|}
  
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= Export =
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= Data export/transform =
 
{| class="wikitable"
 
{| class="wikitable"
 
|-
 
|-
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|style="background-color:#eaecf0"|<b>Http Method</b>|| GET
 
|style="background-color:#eaecf0"|<b>Http Method</b>|| GET
 
|-
 
|-
−
|style="background-color:#eaecf0"|<b>Response Format</b>|| Determined by [[HTTP_Accept_Headers|Accept Header]]
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|style="background-color:#eaecf0"|<b>Response Format</b>|| Determined by [[Data_Formats#HTTP_Accept_Headers|Accept Header]]
 
|}
 
|}
  
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|| If the map parameter is supplied, and some series or observation can not be mapped, the unmapped data will be included in either the zip file (if zip is true) or in a multipart-form boundry (if zip is false)  
 
|| If the map parameter is supplied, and some series or observation can not be mapped, the unmapped data will be included in either the zip file (if zip is true) or in a multipart-form boundry (if zip is false)  
 
|}
 
|}
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=  Revalidate =
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A Re-validation service is provided if there is more information that can be provided to the dataset(s) loaded against the token.  The reason to revalidate is if the dataset is to be attached to a different Dataflow or Provision Agreement.  When this link changes, it may impact the validation results due to the application of different Constraints or Validation Schemes.  The underlying datasaet will be updated to refer to this different Dataflow/.Provision Agreement, which will be reflected in the exported dataset if the data format supports this information (for example SDMX-ML contains the linked structure in the Header section of the dataset).
 +
 +
Revalidation will be faster than the initial load and validate process because there is not as much work to do.  The dataset is already consolidated, and has already had parts of it validated that will not change even if linked to a different Dataflow.  The revalidation service only revalidates parts of the dataset that will change due to a different structure link, for example it would revalidate against constraints if these are different, and validation schemes (mathematical validation rules) if there are different rules based on changing the linked structure for the dataset.
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Revalidation is an asynchronous action, whose progress can be tracked using the same token and tracking web services provided.
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 +
{| class="wikitable"
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|-
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|style="background-color:#eaecf0"|<b>Entry Point</b>|| <b> /ws/public/data/revalidate</b>
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|-
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|style="background-color:#eaecf0"|<b>Access</b>|| <span style='color:green'><b>Public</b></span> (default). Configurable to Private
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|-
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|style="background-color:#eaecf0"|<b>Http Method</b>|| POST
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|-
 +
|style="background-color:#eaecf0"|<b>Response Format</b>|| JSON
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|-
 +
|style="background-color:#eaecf0"|<b>Accepts</b>|| JSON
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|-
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|style="background-color:#eaecf0"|<b>Content-Type</b>|| application/json</p>
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|-
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|style="background-color:#eaecf0"|<b>Response Format</b>|| JSON
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|-
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|style="background-color:#eaecf0"|<b>Response Statuses</b>|| <p><b>200</b> - request received and being processed</p>
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<p><b>400</b> - request could not be performed (possibly due to bad syntax of JSON POST)</p>
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<p><b>401</b> - Unauthorized (if access has been restricted)</p>
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<p><b>500</b> - Server Error</p>
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|}
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== Post Body ==
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The POST request must contain the token of the dataset to revalidate, this is the same token that was provided by the server on data load.  The SRef is an array of URNs, one for each Dataset that was present in the data file loaded to the server.  Each URN refers to which structure to use to validate the dataset against.  The URN can either be to a Data Structure Definition, Dataflow, or Provision Agreement.
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{
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  UID : "datasetdetailsuid",
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  SRef : ["urn1", "urn2", urn3"]
 +
  }
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== Revalidate Response ==
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The response is a JSON message with a success message.  The validation progress should be tracked using the token that was used in the re-validation request against the [[Asynchronous_Data_Validation_and_Transformation#Request_Load_Status|Load Status]] web service.
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 +
{
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  "Success" : true,
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}
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= Data Publish =
 +
{| class="wikitable"
 +
|-
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|style="background-color:#eaecf0"|<b>Entry Point</b>|| <b> /ws/public/data/publish</b>
 +
|-
 +
|style="background-color:#eaecf0"|<b>Access</b>|| <span style='color:green'><b>Public</b></span> (default). Configurable to Private
 +
|-
 +
|style="background-color:#eaecf0"|<b>Http Method</b>|| POST
 +
|-
 +
|style="background-color:#eaecf0"|<b>Accepts</b>|| JSON
 +
|-
 +
|style="background-color:#eaecf0"|<b>Response Format</b>|| JSON
 +
|-
 +
|style="background-color:#eaecf0"|<b>Response Statuses</b>|| <p><b>200</b> - Publish request accepted</p>
 +
<p><b>400</b> - Bad request</p>
 +
<p><b>401</b> - Unauthorized (if access has been restricted)</p>
 +
<p><b>500</b> - Server Error</p>
 +
|}
 +
 +
 +
Publishes the dataset loaded against the uid the expected json is as follows
 +
{
 +
  UID : "datasetdetailsuid",
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  Action : "Append|Replace|Delete",
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  DeleteAction : "DEFAULT|OBSERVATIONS|SERIES",
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  Dataset: int
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  }
 +
 +
The If the action is Delete, then there are three different options for Delete Action.  The DEFAULT option is to use the SDMX Delete rules, OBSERVATION will delete all the observations in the loaded dataset from the database, SERIES will delete all the series in the dataset from the database (including all the observations that belong to the series).

Latest revision as of 07:38, 16 February 2024


Overview

The Asynchronous Data Load web service consumes a submitted file for Validation. On receipt of the file, the service returns a UID (token), which can be used to track the validation process, and perform further actions such as transformation to another format, or publish to a database once validation has completed.

The Fusion Registry stores the data on the instance it was sent to, so in a load balanced system, the same server must be accessed, if there is no activity on the file for 15 minutes, the registry will automatically remove the file from its cache.

Asynchronous Data Load

Entry Point /ws/public/data/load
Access Public (default). Configurable to Private
Http Method POST
Accepts CSV, XLSX, SDMX-ML, SDMX-EDI (any format for which there is a Data Reader)
Compression Zip files supported, if loading from URL gzip responses supported
Content-Type

1. multipart/form-data (if attaching file) – the attached file must be in field name of uploadFile

2. application/text or application/xml (if submitting data in the body of the POST)

Response Format JSON
Response Statuses

200 - Data file recieved

400 - Trasformation could not be performed (either an unreadable dataset, or unresolvable reference to a required structure)

401 - Unauthorized (if access has been restricted)

500 - Server Error

Data Load Response

The response to a data load is a token, which can be used in subsequent calls to track the data load and validation process and, once validation is complete, the token can be used to perform actions such as a publish, obtain validation report, export in a different format, or export with mapping. 

{
   "Success" : true,
   "uid"     : "unique token"
}

Request Load Status

Entry Point /ws/public/data/loadStatus
Access Public (default). Configurable to Private
Http Method GET
Response Format JSON

Query Parameters

uid Unique identifier for the loaded dataset, returned from the data load operation


Load Status Response

The response is a validation report, to either indicate validation success or validation with errors.

The report Status indicates how far into the validation process the server has reached. The following table shows the various stages:

Status Description
Initialising Initial status
Analysing The dataset is being analysed for series and obs count, and which dsd's it references
Validating The dataset is being validated
Complete The dataset validation process has finished, there may/may not be errors
Consolidating The dataset is being consolidated, duplicate series and observations are being merged into one final dataset
IncorrectDSD The dataset references a DSD that can not be used to validate the data
InvalidRef The dataset references a DSD/Dataflow/Provision that does not exist in the Registry
MissingDSD The dataset does not not reference any structure so the system can not read the dataset
Error The dataset can not be read at all

Data export/transform

Entry Point /ws/public/data/download
Access Public (default). Configurable to Private
Http Method GET
Response Format Determined by Accept Header

Query Parameters

Query Parmeter Format Description
uid string Unique identifier for the loaded dataset, returned from the data load operation
datasetIndex integer If multiple datasets are in the data file, identifies which one to export, zero indexed
map string URN of Dataflow or DataStucture to map to, there must be a Structure Map which describes the mapping from the source to target
zip boolean (default is false) Zips the respone
includeMetrics boolean (default is false) Include Metrics in the response see Data Transformation
unmapped boolean (default is false) If the map parameter is supplied, and some series or observation can not be mapped, the unmapped data will be included in either the zip file (if zip is true) or in a multipart-form boundry (if zip is false)

Revalidate

A Re-validation service is provided if there is more information that can be provided to the dataset(s) loaded against the token. The reason to revalidate is if the dataset is to be attached to a different Dataflow or Provision Agreement. When this link changes, it may impact the validation results due to the application of different Constraints or Validation Schemes. The underlying datasaet will be updated to refer to this different Dataflow/.Provision Agreement, which will be reflected in the exported dataset if the data format supports this information (for example SDMX-ML contains the linked structure in the Header section of the dataset).

Revalidation will be faster than the initial load and validate process because there is not as much work to do. The dataset is already consolidated, and has already had parts of it validated that will not change even if linked to a different Dataflow. The revalidation service only revalidates parts of the dataset that will change due to a different structure link, for example it would revalidate against constraints if these are different, and validation schemes (mathematical validation rules) if there are different rules based on changing the linked structure for the dataset.

Revalidation is an asynchronous action, whose progress can be tracked using the same token and tracking web services provided.

Entry Point /ws/public/data/revalidate
Access Public (default). Configurable to Private
Http Method POST
Response Format JSON
Accepts JSON
Content-Type application/json

Response Format JSON
Response Statuses

200 - request received and being processed

400 - request could not be performed (possibly due to bad syntax of JSON POST)

401 - Unauthorized (if access has been restricted)

500 - Server Error

Post Body

The POST request must contain the token of the dataset to revalidate, this is the same token that was provided by the server on data load. The SRef is an array of URNs, one for each Dataset that was present in the data file loaded to the server. Each URN refers to which structure to use to validate the dataset against. The URN can either be to a Data Structure Definition, Dataflow, or Provision Agreement. 

{
  UID : "datasetdetailsuid",
 SRef : ["urn1", "urn2", urn3"]
 }

Revalidate Response

The response is a JSON message with a success message. The validation progress should be tracked using the token that was used in the re-validation request against the Load Status web service. 

{
  "Success" : true,
}

Data Publish

Entry Point /ws/public/data/publish
Access Public (default). Configurable to Private
Http Method POST
Accepts JSON
Response Format JSON
Response Statuses

200 - Publish request accepted

400 - Bad request

401 - Unauthorized (if access has been restricted)

500 - Server Error


Publishes the dataset loaded against the uid the expected json is as follows 

{
  UID : "datasetdetailsuid",
  Action : "Append|Replace|Delete",
  DeleteAction : "DEFAULT|OBSERVATIONS|SERIES",
  Dataset: int
 }

The If the action is Delete, then there are three different options for Delete Action. The DEFAULT option is to use the SDMX Delete rules, OBSERVATION will delete all the observations in the loaded dataset from the database, SERIES will delete all the series in the dataset from the database (including all the observations that belong to the series).

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