A simple Kata to parse strings chats
# Install dependencies
npm install
# Compile
npm run build
# Run the tests
npm run test
# Run the application and see the results
npm run devThe goal is to parse a string chat: given a string input, the program should produce an array of sentences as output, according to the following specification.
In our system, one of the data structure we have is the chat structure.
A chat is a list of sentences, diveded by the hour in which the message was written, followed by the name of the author, and the sentence at the end.
Here is the most complete example of a chat:
14:24:32 Customer : Lorem ipsum dolor sit amet, consectetur adipiscing elit.
14:26:15 Agent : Aliquam non cursus erat, ut blandit lectus.
14:27:00 Customer : Pellentesque cursus maximus felis, pharetra porta purus aliquet viverra.
14:27:47 Agent : Vestibulum tempor diam eu leo molestie eleifend.
We can say that:
- each piece of the chat is composed by
hh:mm:ss,customer/agent name,:andsentence - the first occurrence is from the customer
- the second occurrence could be either customer or agent
note: an example only with a sentence
Given the input
14:24:32 Customer : Lorem ipsum dolor sit amet, consectetur adipiscing elit.
The output should be
[{
date: '14:24:32',
mention: '14:24:32 Customer : ',
sentence: 'Lorem ipsum dolor sit amet, consectetur adipiscing elit.',
type: 'customer'
}]
note: an example with two sentences divided by new line character
Given the input
14:24:32 Customer : Lorem ipsum dolor sit amet, consectetur adipiscing elit.
14:26:15 Agent : Aliquam non cursus erat, ut blandit lectus.
The output should be
[{
date: '14:24:32',
mention: '14:24:32 Customer : ',
sentence: 'Lorem ipsum dolor sit amet, consectetur adipiscing elit.\n',
type: 'customer'
}, {
date: '14:26:15',
mention: '14:26:15 Agent : ',
sentence: 'Aliquam non cursus erat, ut blandit lectus.',
type: 'agent'
}]
note: an example with two customer mentions as start
Given the input
14:24:32 Customer : Lorem ipsum dolor sit amet, consectetur adipiscing elit.
14:27:00 Customer : Pellentesque cursus maximus felis, pharetra porta purus aliquet viverra.
14:27:47 Agent : Vestibulum tempor diam eu leo molestie eleifend.
14:28:28 Customer : Contrary to popular belief, Lorem Ipsum is not simply random text.
The output should be
[{
date: '14:24:32',
mention: '14:24:32 Customer : ',
sentence: 'Lorem ipsum dolor sit amet, consectetur adipiscing elit.\n',
type: 'customer'
}, {
date: '14:27:00',
mention: '14:27:00 Customer : ',
sentence: 'Pellentesque cursus maximus felis, pharetra porta purus aliquet viverra.\n',
type: 'customer'
}, {
date: '14:27:47',
mention: '14:27:47 Agent : ',
sentence: 'Vestibulum tempor diam eu leo molestie eleifend.\n',
type: 'agent'
}, {
date: '14:28:28',
mention: '14:28:28 Customer : ',
sentence: 'Contrary to popular belief, Lorem Ipsum is not simply random text.',
type: 'customer'
}]
note: an example in which the sentences are not divided by the new line character
Given the input
14:24:32 Customer : Lorem ipsum dolor sit amet, consectetur adipiscing elit.14:26:15 Agent : Aliquam non cursus erat, ut blandit lectus.
The output should be
[{
date: '14:24:32',
mention: '14:24:32 Customer : ',
sentence: 'Lorem ipsum dolor sit amet, consectetur adipiscing elit.',
type: 'customer'
}, {
date: '14:26:15',
mention: '14:26:15 Agent : ',
sentence: 'Aliquam non cursus erat, ut blandit lectus.',
type: 'agent'
}]
note: an example with a date in the text of the Agent
Given the input
14:24:32 Customer : Lorem ipsum dolor sit amet, consectetur adipiscing elit.14:26:15 Agent : I received it at 12:24:48, ut blandit lectus.
The output should be
[{
date: '14:24:32',
mention: '14:24:32 Customer : ',
sentence: 'Lorem ipsum dolor sit amet, consectetur adipiscing elit.',
type: 'customer'
}, {
date: '14:26:15',
mention: '14:26:15 Agent : ',
sentence: 'I received it at 12:24:48, ut blandit lectus.',
type: 'agent'
}]
note: an example in which both the Agent and the Customer have full name
Given the input
14:24:32 Luca Galasso : Lorem ipsum dolor sit amet, consectetur adipiscing elit.14:26:15 Emanuele Querzola : I received the package, ut blandit lectus.
The output should be
[{
date: '14:24:32',
mention: '14:24:32 Luca Galasso : ',
sentence: 'Lorem ipsum dolor sit amet, consectetur adipiscing elit.',
type: 'customer'
}, {
date: '14:26:15',
mention: '14:26:15 Emanuele Querzola : ',
sentence: 'I received the package, ut blandit lectus.',
type: 'agent'
}]
note: an example in which there is no colon after both Agent and Customer names
Given the input
14:24:32 Customer Lorem ipsum dolor sit amet, consectetur adipiscing elit.14:26:15 Agent I received it at 12:24:48, ut blandit lectus.
The output should be
[{
date: '14:24:32',
mention: '14:24:32 Customer ',
sentence: 'Lorem ipsum dolor sit amet, consectetur adipiscing elit.',
type: 'customer'
}, {
date: '14:26:15',
mention: '14:26:15 Agent ',
sentence: 'I received it at 12:24:48, ut blandit lectus.',
type: 'agent'
}]