curl --request POST \
  --url https://api.tensorlake.ai/sandboxes/{sandbox_id}/file_systems \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "file_system_id": "<string>",
  "mount_path": "<string>",
  "read_only": false,
  "prefetch": false
}
'

import requests

url = "https://api.tensorlake.ai/sandboxes/{sandbox_id}/file_systems"

payload = {
    "file_system_id": "<string>",
    "mount_path": "<string>",
    "read_only": False,
    "prefetch": False
}
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({
    file_system_id: '<string>',
    mount_path: '<string>',
    read_only: false,
    prefetch: false
  })
};

fetch('https://api.tensorlake.ai/sandboxes/{sandbox_id}/file_systems', 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.tensorlake.ai/sandboxes/{sandbox_id}/file_systems",
  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([
    'file_system_id' => '<string>',
    'mount_path' => '<string>',
    'read_only' => false,
    'prefetch' => false
  ]),
  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.tensorlake.ai/sandboxes/{sandbox_id}/file_systems"

	payload := strings.NewReader("{\n  \"file_system_id\": \"<string>\",\n  \"mount_path\": \"<string>\",\n  \"read_only\": false,\n  \"prefetch\": false\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.tensorlake.ai/sandboxes/{sandbox_id}/file_systems")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"file_system_id\": \"<string>\",\n  \"mount_path\": \"<string>\",\n  \"read_only\": false,\n  \"prefetch\": false\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.tensorlake.ai/sandboxes/{sandbox_id}/file_systems")

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  \"file_system_id\": \"<string>\",\n  \"mount_path\": \"<string>\",\n  \"read_only\": false,\n  \"prefetch\": false\n}"

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

{
  "id": "<string>",
  "namespace": "<string>",
  "created_at": 123,
  "resources": {
    "cpus": 123,
    "memory_mb": 123,
    "disk_mb": 123
  },
  "timeout_secs": 123,
  "allow_unauthenticated_access": true,
  "image": "<string>",
  "pending_reason": "<string>",
  "outcome": "<string>",
  "termination_reason": "<string>",
  "error_details": "<string>",
  "container_id": "<string>",
  "executor_id": "<string>",
  "ingress_endpoint": "<string>",
  "sandbox_url": "<string>",
  "pool_id": "<string>",
  "network_policy": {
    "allow_internet_access": true,
    "allow_out": [
      "<string>"
    ],
    "deny_out": [
      "<string>"
    ]
  },
  "exposed_ports": [
    32768
  ],
  "template_id": "<string>",
  "name": "<string>",
  "file_systems": [
    {
      "file_system_id": "<string>",
      "mount_path": "<string>",
      "read_only": false,
      "prefetch": false
    }
  ]
}