import os
from meibel import MeibelClient
from meibel.models import CreateDatasourceRequest, MetadataConfigRequest, MetadataField

client = MeibelClient(api_key=os.environ["MEIBEL_API_KEY"])

metadata_config = MetadataConfigRequest(
    type="custom",
    fields=[
        MetadataField(
            name="document_title",
            type="string",
            description="Title of the document",
            index=True,
        ),
        MetadataField(
            name="published_date",
            type="datetime",
            description="Date the document was published",
            index=True,
        ),
    ],
)

datasource = client.datasources.create(
    CreateDatasourceRequest(
        name="Support Knowledge Base",
        description="Uploaded PDFs and docs used for customer support answers",
        metadata_config=metadata_config,
    )
)

print(f"{datasource.id}: {datasource.name} ({datasource.last_sync_status})")

import { MeibelClient } from "meibel";

const client = new MeibelClient({ apiKey: process.env.MEIBEL_API_KEY });

const datasource = await client.datasources.create({
  name: "Support Ticket Attachments",
  description: "Uploaded PDFs and screenshots from customer support tickets",
  metadata_config: {
    type: "custom",
    fields: [
      {
        name: "ticket_id",
        type: "string",
        description: "Support ticket identifier referenced in the document",
        index: true,
      },
      {
        name: "uploaded_at",
        type: "datetime",
        description: "Timestamp the file was uploaded",
        index: false,
      },
    ],
  },
});

console.log(`Created datasource ${datasource.id} (${datasource.name})`);

package main

import (
	"context"
	"fmt"
	"os"

	v2 "github.com/meibel-ai/meibel-go/v2"
)

func main() {
	client := v2.NewClient(v2.WithAPIKey(os.Getenv("MEIBEL_API_KEY")))

	ds, err := client.Datasources.Create(context.Background(), v2.CreateDatasourceRequest{
		Name:        "Support Ticket Uploads",
		Description: "Customer support tickets uploaded as PDF and text files",
		MetadataConfig: &v2.MetadataConfigRequest{
			Type: "custom",
			Fields: []v2.MetadataField{
				{
					Name:        "ticket_priority",
					Type:        "string",
					Description: "Priority level assigned to the support ticket",
					Index:       true,
				},
			},
		},
	})
	if err != nil {
		fmt.Println("error creating datasource:", err)
		return
	}

	fmt.Println("Datasource ID:", ds.ID)
	fmt.Println("Last sync status:", ds.LastSyncStatus)
}

curl --request POST \
  --url https://api.meibel.ai/v2/datasources \
  --header 'Content-Type: application/json' \
  --header 'Meibel-API-Key: <api-key>' \
  --data '
{
  "name": "<string>",
  "description": "",
  "connector": {
    "database": {
      "host": "<string>",
      "port": 123,
      "database": "<string>",
      "schema_name": "<string>"
    },
    "cloud_storage": {
      "bucket": "<string>",
      "prefix": "<string>",
      "role_arn": "<string>",
      "region": "<string>"
    },
    "web_crawl": {
      "base_url": "<string>",
      "javascript_render": false,
      "domains": [
        {
          "domain": "<string>",
          "include_pattern": "<string>",
          "exclude_pattern": ""
        }
      ]
    }
  },
  "metadata_config": {
    "model_id": "<string>",
    "fields": [
      {
        "name": "<string>",
        "description": "<string>",
        "index": true
      }
    ]
  }
}
'

const options = {
  method: 'POST',
  headers: {'Meibel-API-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: '<string>',
    description: '',
    connector: {
      database: {host: '<string>', port: 123, database: '<string>', schema_name: '<string>'},
      cloud_storage: {
        bucket: '<string>',
        prefix: '<string>',
        role_arn: '<string>',
        region: '<string>'
      },
      web_crawl: {
        base_url: '<string>',
        javascript_render: false,
        domains: [{domain: '<string>', include_pattern: '<string>', exclude_pattern: ''}]
      }
    },
    metadata_config: {
      model_id: '<string>',
      fields: [{name: '<string>', description: '<string>', index: true}]
    }
  })
};

fetch('https://api.meibel.ai/v2/datasources', 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.meibel.ai/v2/datasources",
  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>',
    'description' => '',
    'connector' => [
        'database' => [
                'host' => '<string>',
                'port' => 123,
                'database' => '<string>',
                'schema_name' => '<string>'
        ],
        'cloud_storage' => [
                'bucket' => '<string>',
                'prefix' => '<string>',
                'role_arn' => '<string>',
                'region' => '<string>'
        ],
        'web_crawl' => [
                'base_url' => '<string>',
                'javascript_render' => false,
                'domains' => [
                                [
                                                                'domain' => '<string>',
                                                                'include_pattern' => '<string>',
                                                                'exclude_pattern' => ''
                                ]
                ]
        ]
    ],
    'metadata_config' => [
        'model_id' => '<string>',
        'fields' => [
                [
                                'name' => '<string>',
                                'description' => '<string>',
                                'index' => true
                ]
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "Meibel-API-Key: <api-key>"
  ],
]);

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

curl_close($curl);

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

HttpResponse<String> response = Unirest.post("https://api.meibel.ai/v2/datasources")
  .header("Meibel-API-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"<string>\",\n  \"description\": \"\",\n  \"connector\": {\n    \"database\": {\n      \"host\": \"<string>\",\n      \"port\": 123,\n      \"database\": \"<string>\",\n      \"schema_name\": \"<string>\"\n    },\n    \"cloud_storage\": {\n      \"bucket\": \"<string>\",\n      \"prefix\": \"<string>\",\n      \"role_arn\": \"<string>\",\n      \"region\": \"<string>\"\n    },\n    \"web_crawl\": {\n      \"base_url\": \"<string>\",\n      \"javascript_render\": false,\n      \"domains\": [\n        {\n          \"domain\": \"<string>\",\n          \"include_pattern\": \"<string>\",\n          \"exclude_pattern\": \"\"\n        }\n      ]\n    }\n  },\n  \"metadata_config\": {\n    \"model_id\": \"<string>\",\n    \"fields\": [\n      {\n        \"name\": \"<string>\",\n        \"description\": \"<string>\",\n        \"index\": true\n      }\n    ]\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.meibel.ai/v2/datasources")

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

request = Net::HTTP::Post.new(url)
request["Meibel-API-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"<string>\",\n  \"description\": \"\",\n  \"connector\": {\n    \"database\": {\n      \"host\": \"<string>\",\n      \"port\": 123,\n      \"database\": \"<string>\",\n      \"schema_name\": \"<string>\"\n    },\n    \"cloud_storage\": {\n      \"bucket\": \"<string>\",\n      \"prefix\": \"<string>\",\n      \"role_arn\": \"<string>\",\n      \"region\": \"<string>\"\n    },\n    \"web_crawl\": {\n      \"base_url\": \"<string>\",\n      \"javascript_render\": false,\n      \"domains\": [\n        {\n          \"domain\": \"<string>\",\n          \"include_pattern\": \"<string>\",\n          \"exclude_pattern\": \"\"\n        }\n      ]\n    }\n  },\n  \"metadata_config\": {\n    \"model_id\": \"<string>\",\n    \"fields\": [\n      {\n        \"name\": \"<string>\",\n        \"description\": \"<string>\",\n        \"index\": true\n      }\n    ]\n  }\n}"

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

{
  "id": "<string>",
  "name": "<string>",
  "description": "<string>",
  "connector": {
    "cloud_storage": {},
    "web_crawl": {
      "base_url": "<string>",
      "javascript_render": false,
      "domains": [
        {
          "domain": "<string>",
          "include_pattern": "<string>",
          "exclude_pattern": ""
        }
      ]
    }
  },
  "created_at": "<string>",
  "updated_at": "<string>",
  "last_sync_at": "<string>",
  "last_sync_status": "<string>",
  "total_ingested_files": 123,
  "metadata_config": {
    "fields": [
      {
        "name": "<string>",
        "description": "<string>",
        "index": true
      }
    ],
    "model_id": "<string>"
  },
  "files": {
    "total": 123,
    "deleted": 123
  },
  "ingest_counts": {
    "rag": {
      "total": 123,
      "new": 123,
      "updated": 123
    },
    "tag": {
      "total": 123,
      "new": 123,
      "updated": 123
    },
    "ref_graph": {
      "total": 123,
      "new": 123,
      "updated": 123
    }
  },
  "tables": [
    {
      "name": "<string>",
      "column_count": 123,
      "description": "<string>"
    }
  ]
}

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