Update Analysis Source - MindBridge Documentation

Documentation Index

Fetch the complete documentation index at: /llms.txt

Use this file to discover all available pages before exploring further.

PUT

/ v1

/analysis-sources

/{analysisSourceId}

Update Analysis Source

cURL

curl --request PUT \
  --url https://{tenant}.mindbridge.ai/api/v1/analysis-sources/{analysisSourceId} \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '\n{\n  "version": 123,\n  "warningsIgnored": true,\n  "applyDegrouper": true,\n  "proposedColumnMappings": [\n    {\n      "columnPosition": 123,\n      "virtualColumnIndex": 123,\n      "mindbridgeField": "<string>",\n      "additionalColumnName": "<string>"\n    }\n  ],\n  "columnMappings": [\n    {\n      "position": 123,\n      "mindbridgeField": "<string>",\n      "additionalColumnName": "<string>"\n    }\n  ],\n  "proposedVirtualColumns": [\n    {\n      "columnIndex": 123,\n      "name": "<string>"\n    }\n  ],\n  "virtualColumns": [\n    {\n      "version": 123,\n      "name": "<string>",\n      "columnIndex": 123\n    }\n  ],\n  "proposedAmbiguousColumnResolutions": [\n    {\n      "position": 1,\n      "selectedFormat": "<string>"\n    }\n  ],\n  "ambiguousColumnResolutions": [\n    {\n      "position": 123,\n      "selectedFormat": "<string>"\n    }\n  ]\n}\n'```

### Example Code Snippets

### Python

```python
import requests

url = "https://{tenant}.mindbridge.ai/api/v1/analysis-sources/{analysisSourceId}"

payload = {
    "version": 123,
    "warningsIgnored": True,
    "applyDegrouper": True,
    "proposedColumnMappings": [\
        {\
            "columnPosition": 123,\
            "virtualColumnIndex": 123,\
            "mindbridgeField": "<string>",\
            "additionalColumnName": "<string>"\
        }\
    ],\
    "columnMappings": [\
        {\
            "position": 123,\
            "mindbridgeField": "<string>",\
            "additionalColumnName": "<string>"\
        }\
    ],\
    "proposedVirtualColumns": [\
        {\
            "columnIndex": 123,\
            "name": "<string>"\
        }\
    ],\
    "virtualColumns": [\
        {\
            "version": 123,\
            "name": "<string>",\
            "columnIndex": 123\
        }\
    ],\
    "proposedAmbiguousColumnResolutions": [\
        {\
            "position": 1,\
            "selectedFormat": "<string>"\
        }\
    ],\
    "ambiguousColumnResolutions": [\
        {\
            "position": 123,\
            "selectedFormat": "<string>"\
        }\
    ]
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.put(url, json=payload, headers=headers)

print(response.text)

JavaScript (Fetch)

const options = {
  method: 'PUT',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    version: 123,
    warningsIgnored: true,
    applyDegrouper: true,
    proposedColumnMappings: [\
      {\
        columnPosition: 123,\
        virtualColumnIndex: 123,\
        mindbridgeField: '<string>',\
        additionalColumnName: '<string>'\
      }\
    ],
    columnMappings: [{position: 123, mindbridgeField: '<string>', additionalColumnName: '<string>'}],
    proposedVirtualColumns: [{columnIndex: 123, name: '<string>'}],
    virtualColumns: [{version: 123, name: '<string>', columnIndex: 123}],
    proposedAmbiguousColumnResolutions: [{position: 1, selectedFormat: '<string>'}],
    ambiguousColumnResolutions: [{position: 123, selectedFormat: '<string>'}]
  })
};

fetch('https://{tenant}.mindbridge.ai/api/v1/analysis-sources/{analysisSourceId}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

PHP

$curl = curl_init();

curl_setopt_array($curl, [\
  CURLOPT_URL => "https://{tenant}.mindbridge.ai/api/v1/analysis-sources/{analysisSourceId}",\
  CURLOPT_RETURNTRANSFER => true,\
  CURLOPT_ENCODING => "",\
  CURLOPT_MAXREDIRS => 10,\
  CURLOPT_TIMEOUT => 30,\
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,\
  CURLOPT_CUSTOMREQUEST => "PUT",\
  CURLOPT_POSTFIELDS => json_encode([\
    'version' => 123,\
    'warningsIgnored' => true,\
    'applyDegrouper' => true,\
    'proposedColumnMappings' => [\
        [\
                'columnPosition' => 123,\
                'virtualColumnIndex' => 123,\
                'mindbridgeField' => '<string>',\
                'additionalColumnName' => '<string>'\
        ]\
    ],\
    'columnMappings' => [\
        [\
                'position' => 123,\
                'mindbridgeField' => '<string>',\
                'additionalColumnName' => '<string>'\
        ]\
    ],\
    'proposedVirtualColumns' => [\
        [\
                'columnIndex' => 123,\
                'name' => '<string>'\
        ]\
    ],\
    'virtualColumns' => [\
        [\
                'version' => 123,\
                'name' => '<string>',\
                'columnIndex' => 123\
        ]\
    ],\
    'proposedAmbiguousColumnResolutions' => [\
        [\
                'position' => 1,\
                'selectedFormat' => '<string>'\
        ]\
    ],\
    'ambiguousColumnResolutions' => [\
        [\
                'position' => 123,\
                'selectedFormat' => '<string>'\
        ]\
    ]\
  ]),\
  CURLOPT_HTTPHEADER => [\
    "Authorization: Bearer <token>",\
    "Content-Type: application/json"\
  ],\
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

Go

package main

import (
    "fmt"
    "strings"
    "net/http"
    "io"
)

func main() {

url := "https://{tenant}.mindbridge.ai/api/v1/analysis-sources/{analysisSourceId}"

payload := strings.NewReader("{\n  \"version\": 123,\n  \"warningsIgnored\": true,\n  \"applyDegrouper\": true,\n  \"proposedColumnMappings\": [\n    {\n      \"columnPosition\": 123,\n      \"virtualColumnIndex\": 123,\n      \"mindbridgeField\": \"<string>\",\n      \"additionalColumnName\": \"<string>\"\n    }\n  ],\n  \"columnMappings\": [\n    {\n      \"position\": 123,\n      \"mindbridgeField\": \"<string>\",\n      \"additionalColumnName\": \"<string>\"\n    }\n  ],\n  \"proposedVirtualColumns\": [\n    {\n      \"columnIndex\": 123,\n      \"name\": \"<string>\"\n    }\n  ],\n  \"virtualColumns\": [\n    {\n      \"version\": 123,\n      \"name\": \"<string>\",\n      \"columnIndex\": 123\n    }\n  ],\n  \"proposedAmbiguousColumnResolutions\": [\n    {\n      \"position\": 1,\n      \"selectedFormat\": \"<string>\"\n    }\n  ],\n  \"ambiguousColumnResolutions\": [\n    {\n      \"position\": 123,\n      \"selectedFormat\": \"<string>\"\n    }\n  ]}\n")

req, _ := http.NewRequest("PUT", url, payload)

req.Header.Add("Authorization", "Bearer <token>")
    req.Header.Add("Content-Type", "application/json")

res, _ := http.DefaultClient.Do(req)

defer res.Body.Close()
    body, _ := io.ReadAll(res.Body)

fmt.Println(string(body))
}

Java

HttpResponse<String> response = Unirest.put("https://{tenant}.mindbridge.ai/api/v1/analysis-sources/{analysisSourceId}")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"version\": 123,\n  \"warningsIgnored\": true,\n  \"applyDegrouper\": true,\n  \"proposedColumnMappings\": [\n    {\n      \"columnPosition\": 123,\n      \"virtualColumnIndex\": 123,\n      \"mindbridgeField\": \"<string>\",\n      \"additionalColumnName\": \"<string>\"\n    }\n  ],\n  \"columnMappings\": [\n    {\n      \"position\": 123,\n      \"mindbridgeField\": \"<string>\",\n      \"additionalColumnName\": \"<string>\"\n    }\n  ],\n  \"proposedVirtualColumns\": [\n    {\n      \"columnIndex\": 123,\n      \"name\": \"<string>\"\n    }\n  ],\n  \"virtualColumns\": [\n    {\n      \"version\": 123,\n      \"name\": \"<string>\",\n      \"columnIndex\": 123\n    }\n  ],\n  \"proposedAmbiguousColumnResolutions\": [\n    {\n      \"position\": 1,\n      \"selectedFormat\": \"<string>\"\n    }\n  ],\n  \"ambiguousColumnResolutions\": [\n    {\n      \"position\": 123,\n      \"selectedFormat\": \"<string>\"\n    }\n  ]}\n")
  .asString();

Ruby

require 'uri'
require 'net/http'

url = URI("https://{tenant}.mindbridge.ai/api/v1/analysis-sources/{analysisSourceId}")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Put.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"version\": 123,\n  \"warningsIgnored\": true,\n  \"applyDegrouper\": true,\n  \"proposedColumnMappings\": [\n    {\n      \"columnPosition\": 123,\n      \"virtualColumnIndex\": 123,\n      \"mindbridgeField\": \"<string>\",\n      \"additionalColumnName\": \"<string>\"\n    }\n  ],\n  \"columnMappings\": [\n    {\n      \"position\": 123,\n      \"mindbridgeField\": \"<string>\",\n      \"additionalColumnName\": \"<string>\"\n    }\n  ],\n  \"proposedVirtualColumns\": [\n    {\n      \"columnIndex\": 123,\n      \"name\": \"<string>\"\n    }\n  ],\n  \"virtualColumns\": [\n    {\n      \"version\": 123,\n      \"name\": \"<string>\",\n      \"columnIndex\": 123\n    }\n  ],\n  \"proposedAmbiguousColumnResolutions\": [\n    {\n      \"position\": 1,\n      \"selectedFormat\": \"<string>\"\n    }\n  ],\n  \"ambiguousColumnResolutions\": [\n    {\n      \"position\": 123,\n      \"selectedFormat\": \"<string>\"\n    }\n  ]}\n"

response = http.request(request)
puts response.read_body

HTTP Response

200

{
  "id": "<string>",
  "version": 123,
  "creationDate": "2023-11-07T05:31:56Z",
  "lastModifiedDate": "2023-11-07T05:31:56Z",
  "createdUserInfo": {
    "userId": "<string>",
    "userName": "<string>"
  },
  "lastModifiedUserInfo": {
    "userId": "<string>",
    "userName": "<string>"
  },
  "entityId": "<string>",
  "error": "<string>",
  "errorMessage": "<string>"
}