8. NLP grouped by type - Wolkvox

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APIs Reports Manager

8. NLP grouped by type

URL:

https://wv{wolkvox_server}.wolkvox.com/api/v2/reports_manager.php?api=cdr_8&date_ini={YYYYmmddHHiiss}&date_end={YYYYmmddHHiiss}

Description:

This report provides in detail a report about the use of NLP or artificial intelligence components in your operation. This report provides information by component type.

Benefit:

With this report you can know in detail your usage of artificial intelligence components in your operation.

How it works:

The consumption of this API is done by GET method.
To consume this API you must replace in the url {ip_ipdialbox} by the server nomenclature of the operation and the {token} generated from wolkvox Manager to obtain the information in a secure way.
Note that the same token cannot be consumed simultaneously, so you can schedule the next API to be consumed when the result of the previous one is successful.
In terms of time, to keep track of your operation you can make a consumption every 5 minutes of the information.

REQUEST

NAME	DESCRIPTION	TYPE
api	Type of report required	String
date_ini	Initial Date (YYYYmmddHHiiss)	String
date_end	Final Date (YYYYmmddHHiiss)	String

RESPONSE

NAME	DESCRIPTION	TYPE
code	Error code.	Int
error	Name of error.	String
msg	Explanation of error.	String
data	Indicates the date in year-month-day-time format.	String
nlp type	Displays the component used in the record. This field can yield the following values: – nlp-MrWizard-rtvoice (real-time analysis by Mr. Wizard in voice channels). – nlp-voice-keywords (keyword analysis in voice channels). – nlp-voice-sentiment (sentiment analysis in voice channels). – nlp-voice-summary (summaries in voice channels). – nlp-MrWizard-voice (Mr. Wizard analysis in voice channels). – nlp-text-keywords (keyword analysis in chat). – nlp-text-summary (summaries in chat channels). – nlp-voc-autoqa (customer voice analysis with Auto QA). – nlp-classifications (intentions component with artificial intelligence). – nlp-text-sentiment (sentiment analysis in chat channels). – nlp-voc-general (customer voice analysis with the General NLP component). – nlp-voc-autoqua-test (customer voice analysis in AutoQAiBot tests). – nlp-MrWizard-chat (Mr. Wizard analysis in chat channels). – nlp-Q&A (NLP Q&A questions and answers component). – unknown (when the system cannot identify the type of NLP).	String
nlp amount	Indicates the number of times the component type was used.	String
chars send	Indicates the number of characters sent.	String
chars answer	Indicates the number of characters received.	String
total chars	This is the column that indicates the total number of characters, i.e., the sum of characters sent plus those received.	String

Possible response codes

				
					$curl = curl_init();

curl_setopt_array($curl, array(
  CURLOPT_URL => 'https://wv{{wolkvox_server}}.wolkvox.com/api/v2/reports_manager.php?api=cdr_8&date_ini={{YYYYmmddHHiiss}}&date_end={{YYYYmmddHHiiss}}',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => '',
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 0,
  CURLOPT_FOLLOWLOCATION => true,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => 'GET',
  CURLOPT_HTTPHEADER => array(
    'wolkvox-token: {{wolkvox_token}}'
  ),
));

$response = curl_exec($curl);

curl_close($curl);
echo $response;

				
					curl --location 'https://wv{{wolkvox_server}}.wolkvox.com/api/v2/reports_manager.php?api=cdr_8&date_ini={{YYYYmmddHHiiss}}&date_end={{YYYYmmddHHiiss}}' 
--header 'wolkvox-token: {{wolkvox_token}}' 
--data ''

				
					OkHttpClient client = new OkHttpClient().newBuilder()
  .build();
MediaType mediaType = MediaType.parse("text/plain");
RequestBody body = RequestBody.create(mediaType, "");
Request request = new Request.Builder()
  .url("https://wv{{wolkvox_server}}.wolkvox.com/api/v2/reports_manager.php?api=cdr_8&date_ini={{YYYYmmddHHiiss}}&date_end={{YYYYmmddHHiiss}}")
  .method("GET", body)
  .addHeader("wolkvox-token", "{{wolkvox_token}}")
  .build();
Response response = client.newCall(request).execute();

				
					import requests

url = "https://wv{{wolkvox_server}}.wolkvox.com/api/v2/reports_manager.php?api=cdr_8&date_ini={{YYYYmmddHHiiss}}&date_end={{YYYYmmddHHiiss}}"

payload = ""
headers = {
  'wolkvox-token': '{{wolkvox_token}}'
}

response = requests.request("GET", url, headers=headers, data=payload)

print(response.text)

RESPONSE

				
					{
    "code": " ",
    "error":  ,
    "msg": " ",
    "data": [
        {
            "nlp type": " ",
            "nlp amount": " ",
            "chars send": " ",
            "chars answer": " ",
            "total chars": " "
        }
    ]
}

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DOMINICAN REPUBLIC
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CHILE
Santiago de Chile +56 (2) 240 533 89

GUATEMALA
Ciudad de Guatemala +502 (2) 314 1344

PERU
Lima +51 (1) 644 91 39

Information security policy

Information Transfer Policies

Copyright © 2023 MICROSYSLABS S.A.S.
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