import os
from scale_gp import SGPClient

client = SGPClient(
    api_key=os.environ.get("SGP_API_KEY"),  # This is the default and can be omitted
)
upload_schedule = client.knowledge_bases.upload_schedules.create(
    knowledge_base_id="knowledge_base_id",
    chunking_strategy_config={
        "strategy": "character"
    },
    interval=0,
    knowledge_base_data_source_id="knowledge_base_data_source_id",
)
print(upload_schedule.id)

package main

import (
	"context"
	"fmt"

	"github.com/stainless-sdks/sgp-go"
	"github.com/stainless-sdks/sgp-go/option"
)

func main() {
	client := sgp.NewClient(
		option.WithAPIKey("My API Key"),
	)
	uploadSchedule, err := client.KnowledgeBases.UploadSchedules.New(
		context.TODO(),
		"knowledge_base_id",
		sgp.KnowledgeBaseUploadScheduleNewParams{
			ChunkingStrategyConfig: sgp.F[sgp.KnowledgeBaseUploadScheduleNewParamsChunkingStrategyConfigUnion](sgp.CharacterChunkingStrategyConfigParam{
				Strategy: sgp.F(sgp.CharacterChunkingStrategyConfigStrategyCharacter),
			}),
			Interval:                  sgp.F(0.000000),
			KnowledgeBaseDataSourceID: sgp.F("knowledge_base_data_source_id"),
		},
	)
	if err != nil {
		panic(err.Error())
	}
	fmt.Printf("%+v\n", uploadSchedule.ID)
}

curl --request POST \
  --url https://api.egp.scale.com/v4/knowledge-bases/{knowledge_base_id}/upload-schedules \
  --header 'Content-Type: application/json' \
  --data '
{
  "knowledge_base_data_source_id": "<string>",
  "chunking_strategy_config": {
    "strategy": "character",
    "separator": "\n\n",
    "chunk_size": 1000,
    "chunk_overlap": 200
  },
  "interval": 123,
  "next_run_at": "2023-11-07T05:31:56Z",
  "account_id": "<string>"
}
'

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    knowledge_base_data_source_id: '<string>',
    chunking_strategy_config: {strategy: 'character', separator: '\n\n', chunk_size: 1000, chunk_overlap: 200},
    interval: 123,
    next_run_at: '2023-11-07T05:31:56Z',
    account_id: '<string>'
  })
};

fetch('https://api.egp.scale.com/v4/knowledge-bases/{knowledge_base_id}/upload-schedules', 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.egp.scale.com/v4/knowledge-bases/{knowledge_base_id}/upload-schedules",
  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([
    'knowledge_base_data_source_id' => '<string>',
    'chunking_strategy_config' => [
        'strategy' => 'character',
        'separator' => '

',
        'chunk_size' => 1000,
        'chunk_overlap' => 200
    ],
    'interval' => 123,
    'next_run_at' => '2023-11-07T05:31:56Z',
    'account_id' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json"
  ],
]);

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

curl_close($curl);

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

HttpResponse<String> response = Unirest.post("https://api.egp.scale.com/v4/knowledge-bases/{knowledge_base_id}/upload-schedules")
  .header("Content-Type", "application/json")
  .body("{\n  \"knowledge_base_data_source_id\": \"<string>\",\n  \"chunking_strategy_config\": {\n    \"strategy\": \"character\",\n    \"separator\": \"\\n\\n\",\n    \"chunk_size\": 1000,\n    \"chunk_overlap\": 200\n  },\n  \"interval\": 123,\n  \"next_run_at\": \"2023-11-07T05:31:56Z\",\n  \"account_id\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.egp.scale.com/v4/knowledge-bases/{knowledge_base_id}/upload-schedules")

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

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"knowledge_base_data_source_id\": \"<string>\",\n  \"chunking_strategy_config\": {\n    \"strategy\": \"character\",\n    \"separator\": \"\\n\\n\",\n    \"chunk_size\": 1000,\n    \"chunk_overlap\": 200\n  },\n  \"interval\": 123,\n  \"next_run_at\": \"2023-11-07T05:31:56Z\",\n  \"account_id\": \"<string>\"\n}"

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

{
  "knowledge_base_id": "<string>",
  "knowledge_base_data_source_id": "<string>",
  "chunking_strategy_config": {
    "strategy": "character",
    "separator": "\n\n",
    "chunk_size": 1000,
    "chunk_overlap": 200
  },
  "status": "HEALTHY",
  "interval": 123,
  "id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "created_by_user_id": "<string>",
  "created_by_identity_type": "user",
  "account_id": "<string>",
  "status_reason": "<string>",
  "next_run_at": "2023-11-07T05:31:56Z"
}

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