curl --request POST \
  --url https://api.example.com/v1/models/{model_id}/scenario \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "dataframe": {
    "sql": "<string>",
    "version": 1
  },
  "target_value": 123,
  "search": {
    "n_trials": 500,
    "max_steps": 30,
    "stop_after_improvement": 0.01,
    "rescore_every": 1,
    "reattribute_every": 1,
    "top_k_features": 2,
    "random_state": 42
  },
  "constraints": {},
  "numeric_quantiles": [
    123,
    123
  ],
  "structural_constraints": [
    {
      "parent": "<string>",
      "child": "<string>",
      "child_to_parent": [
        []
      ],
      "kind": "category_hierarchy"
    }
  ]
}
'

import requests

url = "https://api.example.com/v1/models/{model_id}/scenario"

payload = {
    "dataframe": {
        "sql": "<string>",
        "version": 1
    },
    "target_value": 123,
    "search": {
        "n_trials": 500,
        "max_steps": 30,
        "stop_after_improvement": 0.01,
        "rescore_every": 1,
        "reattribute_every": 1,
        "top_k_features": 2,
        "random_state": 42
    },
    "constraints": {},
    "numeric_quantiles": [123, 123],
    "structural_constraints": [
        {
            "parent": "<string>",
            "child": "<string>",
            "child_to_parent": [[]],
            "kind": "category_hierarchy"
        }
    ]
}
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({
    dataframe: {sql: '<string>', version: 1},
    target_value: 123,
    search: {
      n_trials: 500,
      max_steps: 30,
      stop_after_improvement: 0.01,
      rescore_every: 1,
      reattribute_every: 1,
      top_k_features: 2,
      random_state: 42
    },
    constraints: {},
    numeric_quantiles: [123, 123],
    structural_constraints: [
      {
        parent: '<string>',
        child: '<string>',
        child_to_parent: [[]],
        kind: 'category_hierarchy'
      }
    ]
  })
};

fetch('https://api.example.com/v1/models/{model_id}/scenario', 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.example.com/v1/models/{model_id}/scenario",
  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([
    'dataframe' => [
        'sql' => '<string>',
        'version' => 1
    ],
    'target_value' => 123,
    'search' => [
        'n_trials' => 500,
        'max_steps' => 30,
        'stop_after_improvement' => 0.01,
        'rescore_every' => 1,
        'reattribute_every' => 1,
        'top_k_features' => 2,
        'random_state' => 42
    ],
    'constraints' => [
        
    ],
    'numeric_quantiles' => [
        123,
        123
    ],
    'structural_constraints' => [
        [
                'parent' => '<string>',
                'child' => '<string>',
                'child_to_parent' => [
                                [
                                                                
                                ]
                ],
                'kind' => 'category_hierarchy'
        ]
    ]
  ]),
  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.example.com/v1/models/{model_id}/scenario"

	payload := strings.NewReader("{\n  \"dataframe\": {\n    \"sql\": \"<string>\",\n    \"version\": 1\n  },\n  \"target_value\": 123,\n  \"search\": {\n    \"n_trials\": 500,\n    \"max_steps\": 30,\n    \"stop_after_improvement\": 0.01,\n    \"rescore_every\": 1,\n    \"reattribute_every\": 1,\n    \"top_k_features\": 2,\n    \"random_state\": 42\n  },\n  \"constraints\": {},\n  \"numeric_quantiles\": [\n    123,\n    123\n  ],\n  \"structural_constraints\": [\n    {\n      \"parent\": \"<string>\",\n      \"child\": \"<string>\",\n      \"child_to_parent\": [\n        []\n      ],\n      \"kind\": \"category_hierarchy\"\n    }\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.example.com/v1/models/{model_id}/scenario")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"dataframe\": {\n    \"sql\": \"<string>\",\n    \"version\": 1\n  },\n  \"target_value\": 123,\n  \"search\": {\n    \"n_trials\": 500,\n    \"max_steps\": 30,\n    \"stop_after_improvement\": 0.01,\n    \"rescore_every\": 1,\n    \"reattribute_every\": 1,\n    \"top_k_features\": 2,\n    \"random_state\": 42\n  },\n  \"constraints\": {},\n  \"numeric_quantiles\": [\n    123,\n    123\n  ],\n  \"structural_constraints\": [\n    {\n      \"parent\": \"<string>\",\n      \"child\": \"<string>\",\n      \"child_to_parent\": [\n        []\n      ],\n      \"kind\": \"category_hierarchy\"\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/v1/models/{model_id}/scenario")

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  \"dataframe\": {\n    \"sql\": \"<string>\",\n    \"version\": 1\n  },\n  \"target_value\": 123,\n  \"search\": {\n    \"n_trials\": 500,\n    \"max_steps\": 30,\n    \"stop_after_improvement\": 0.01,\n    \"rescore_every\": 1,\n    \"reattribute_every\": 1,\n    \"top_k_features\": 2,\n    \"random_state\": 42\n  },\n  \"constraints\": {},\n  \"numeric_quantiles\": [\n    123,\n    123\n  ],\n  \"structural_constraints\": [\n    {\n      \"parent\": \"<string>\",\n      \"child\": \"<string>\",\n      \"child_to_parent\": [\n        []\n      ],\n      \"kind\": \"category_hierarchy\"\n    }\n  ]\n}"

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

{
  "job_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "status": "pending",
  "message": "<string>"
}

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