curl --request POST \
  --url https://api.example.com/api/semantic-models \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "<string>",
  "domain_urn": "<string>",
  "domain_name": "<string>",
  "source_tables": [
    "<string>"
  ],
  "generated_sql": "<string>",
  "target_catalog": "<string>",
  "target_schema": "<string>",
  "description": "",
  "columns": [],
  "ai_confidence_score": 123,
  "ai_reasoning": "<string>"
}
'

import requests

url = "https://api.example.com/api/semantic-models"

payload = {
    "name": "<string>",
    "domain_urn": "<string>",
    "domain_name": "<string>",
    "source_tables": ["<string>"],
    "generated_sql": "<string>",
    "target_catalog": "<string>",
    "target_schema": "<string>",
    "description": "",
    "columns": [],
    "ai_confidence_score": 123,
    "ai_reasoning": "<string>"
}
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({
    name: '<string>',
    domain_urn: '<string>',
    domain_name: '<string>',
    source_tables: ['<string>'],
    generated_sql: '<string>',
    target_catalog: '<string>',
    target_schema: '<string>',
    description: '',
    columns: [],
    ai_confidence_score: 123,
    ai_reasoning: '<string>'
  })
};

fetch('https://api.example.com/api/semantic-models', 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/api/semantic-models",
  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([
    'name' => '<string>',
    'domain_urn' => '<string>',
    'domain_name' => '<string>',
    'source_tables' => [
        '<string>'
    ],
    'generated_sql' => '<string>',
    'target_catalog' => '<string>',
    'target_schema' => '<string>',
    'description' => '',
    'columns' => [
        
    ],
    'ai_confidence_score' => 123,
    'ai_reasoning' => '<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;
}

package main

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

func main() {

	url := "https://api.example.com/api/semantic-models"

	payload := strings.NewReader("{\n  \"name\": \"<string>\",\n  \"domain_urn\": \"<string>\",\n  \"domain_name\": \"<string>\",\n  \"source_tables\": [\n    \"<string>\"\n  ],\n  \"generated_sql\": \"<string>\",\n  \"target_catalog\": \"<string>\",\n  \"target_schema\": \"<string>\",\n  \"description\": \"\",\n  \"columns\": [],\n  \"ai_confidence_score\": 123,\n  \"ai_reasoning\": \"<string>\"\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/api/semantic-models")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"<string>\",\n  \"domain_urn\": \"<string>\",\n  \"domain_name\": \"<string>\",\n  \"source_tables\": [\n    \"<string>\"\n  ],\n  \"generated_sql\": \"<string>\",\n  \"target_catalog\": \"<string>\",\n  \"target_schema\": \"<string>\",\n  \"description\": \"\",\n  \"columns\": [],\n  \"ai_confidence_score\": 123,\n  \"ai_reasoning\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/api/semantic-models")

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  \"name\": \"<string>\",\n  \"domain_urn\": \"<string>\",\n  \"domain_name\": \"<string>\",\n  \"source_tables\": [\n    \"<string>\"\n  ],\n  \"generated_sql\": \"<string>\",\n  \"target_catalog\": \"<string>\",\n  \"target_schema\": \"<string>\",\n  \"description\": \"\",\n  \"columns\": [],\n  \"ai_confidence_score\": 123,\n  \"ai_reasoning\": \"<string>\"\n}"

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

{
  "name": "<string>",
  "domain_urn": "<string>",
  "domain_name": "<string>",
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "source_tables": "<string>",
  "generated_sql": "<string>",
  "approved_sql": "<string>",
  "target_catalog": "<string>",
  "target_schema": "<string>",
  "view_name": "<string>",
  "status": "draft",
  "ai_confidence_score": 123,
  "ai_reasoning": "<string>",
  "generation_task_id": "<string>",
  "reviewed_by": "<string>",
  "reviewed_at": "2023-11-07T05:31:56Z",
  "review_notes": "<string>",
  "schedule_cron": "<string>",
  "job_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "created_by": "<string>",
  "owner_id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "deployed_at": "2023-11-07T05:31:56Z",
  "external_id": "<string>",
  "version": 123,
  "parent_model_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "description": ""
}

{
  "error": "<string>",
  "code": 500
}

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