The second decoction is also good, but for the time being, I wanted to move docomo's chat dialogue. Eventually, I would like to use it together with the Twitter API to create a BOT that allows dialogue.

Things necessary

--Python execution environment --docomo Developer support account --docomo Chat Dialogue API API Key

Register an account from this page, enter the necessary information, check "chat dialogue", and apply. Can be obtained. I thought it was after the examination, but it will be issued immediately after the application.

Try it on the Web for the time being

You can try the API function from this page.

Communicate in json format. " Utt "2 line of the HTTP request body: Hello part is the exchange of part of the conversation. Rewrite it to your liking and press the execute button to return the result.

python

{
  "utt": "I want to eat yakiniku",
  "context": "",
  "nickname": "light",
  "nickname_y": "Hikari",
  "sex": "woman",
  "bloodtype": "B",
  "birthdateY": "1997",
  "birthdateM": "5",
  "birthdateD": "30",
  "age": "16",
  "constellations": "Gemini",
  "place": "Tokyo",
  "mode": "dialog"
}

python

{
  "utt": "Do you want to eat yakiniku? want to eat",
  "yomi": "Do you want to eat yakiniku? want to eat",
  "mode": "dialog",
  "da": "22",
  "context": "W54mlG80QNb-o95J9c7SVA"
}

About parameters

The parameters are quoted from the "See explanation" button on the upper right.

All the patterns of ʻutt` are indispensable. User attributes can be omitted or only partially. By setting a name, it seems that the name will be included in the reply content.

context seems to be important

The part of " context ":" W54mlG80QNb-o95J9c7SVA " in the above yakiniku conversation. If you send this context together with the next dialogue data transmission, the conversation will be connected. Obviously, it's not the first time, so it's blank in the above example.

I was wondering if the context would be different for each conversation, but it will be issued for each session (?).

Run with Python

I referred to uepon daily memorandum --try to use chat dialogue API.

docomo_dialogue.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import requests
import json
import types

KEY = 'Enter the obtained API Key here'

#Endpoint settings
endpoint = 'https://api.apigw.smt.docomo.ne.jp/dialogue/v1/dialogue?APIKEY=REGISTER_KEY'
url = endpoint.replace('REGISTER_KEY', KEY)

#Input of the first conversation
utt_content = raw_input('>>')

payload = {'utt' : utt_content, 'context': ''}
headers = {'Content-type': 'application/json'}

#Send
r = requests.post(url, data=json.dumps(payload), headers=headers)
data = r.json()

#json analysis
response = data['utt']
context = data['context']

#display
print "response: %s" %(response)

#Second and subsequent conversations(Ctrl+End with C)
while True:
    utt_content = raw_input('>>')
    payload['utt'] = utt_content
    payload['context'] = data['context']

    r = requests.post(url, data=json.dumps(payload), headers=headers)
    data = r.json()

    response = data['utt']
    context = data['context']

    print "response: %s" %(response)

Below is the execution result.

python

>>I want to eat fish! !!
response:By the way, did you know that December 1st is a movie day?
>>Don't ignore it. .. .. I do not know.
response:Seems to be ignored
>>cold
response:No problem. is it cold?
>>It's hot
response:Patapata
>>Thank you
response:Nadenade
>>

I get an error at runtime

I was a little addicted to the fact that I get requests.exceptions.SSLError at runtime. For the time being, I solved it by the following method.

python

$ sudo pip install requests[security]

Finally

If you use this together with Twitter API, you can make Twitter BOT. For LINE, LINE BOT is also available. However, since we have to have each conversation for each user who skipped mentions, it seems difficult to deal with the processing around there.