Look Up Dataset Rows

Return full row data for one or more row IDs from the dataset’s latest ready version.

POST /datasets/{dataset_id}/rows:lookup

Look Up Dataset Rows

cURL

curl --request POST \
  --url https://api.woodwide.ai/datasets/{dataset_id}/rows:lookup \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "ids": [
    0,
    3,
    17
  ]
}
'

import requests

url = "https://api.woodwide.ai/datasets/{dataset_id}/rows:lookup"

payload = { "ids": [0, 3, 17] }
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({ids: [0, 3, 17]})
};

fetch('https://api.woodwide.ai/datasets/{dataset_id}/rows:lookup', 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://api.woodwide.ai/datasets/{dataset_id}/rows:lookup",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'ids' => [
        0,
        3,
        17
    ]
  ]),
  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;
}

package main

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

func main() {

	url := "https://api.woodwide.ai/datasets/{dataset_id}/rows:lookup"

	payload := strings.NewReader("{\n  \"ids\": [\n    0,\n    3,\n    17\n  ]\n}")

	req, _ := http.NewRequest("POST", 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))

}

HttpResponse<String> response = Unirest.post("https://api.woodwide.ai/datasets/{dataset_id}/rows:lookup")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"ids\": [\n    0,\n    3,\n    17\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.woodwide.ai/datasets/{dataset_id}/rows:lookup")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"ids\": [\n    0,\n    3,\n    17\n  ]\n}"

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

200

{
  "headers": [
    "id",
    "feature_a",
    "feature_b",
    "label"
  ],
  "rows": [
    {
      "id": 0,
      "feature_a": 1.2,
      "feature_b": "A",
      "label": 0
    },
    {
      "id": 3,
      "feature_a": 2.1,
      "feature_b": "C",
      "label": 1
    },
    {
      "id": 17,
      "feature_a": 0.5,
      "feature_b": "D",
      "label": 0
    }
  ]
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}

Authorizations

Authorization · string · header · required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

dataset_id · string<uuid> · required

Body

application/json

Look up specific rows by their id column value.

Every dataset includes a 0-based id column assigned at ingest. Pass 1--256 integer IDs; duplicates are removed.

ids · integer[] · required

Row ids to fetch. Duplicates are de-duplicated.

Required array length: 1 - 256 elements

Response

200

application/json

Successful Response

Rows matching a DatasetRowsLookupRequest.

Returned rows follow the request ids order (duplicates removed). IDs not present in the dataset are omitted -- reconcile against the request to detect missing IDs.

headers · string[] · required

Column names.

rows · Rows · object[] · required

Found rows as {column: value} dicts, ordered to match the request.