banzsolt/euromoney.recruitmenttest

Recruitment test for roles with programming pre-requirements at EUROMONEY PLC.

Intro

One of the things we do at Euromoney is publish and manage content. This assignment is to analyse text, detecting and filtering negative words.

• This assignment takes between 30 minutes and an hour.
• NUnit and Moq, references have been added using NuGet Packages.

Task requirements

• All stories to be completed with an appropriate level of testing.
• No actual storage implementation or databases are required, feel free to stub or mock any data access you need.
• Reformat, refactor and rework the provided code in any way you see fit.
• Code must be supported by tests to be "done-done".
• Please submit your changes as a new pull request on this repo, and not on the original repo from which this is forked. If you can't submit a pull request then zip up your code and email it to us, but PRs are strongly preferred.

Advice to candidates

• You should approach this task in the same way that you would a real, production assignment. Do not 'code to the test'.
• It is more important that you show the right approach than that you complete all the stories. If you run low on time, apply an MVP to the stories.
• We will assume that the code you produce for this exercise reflects the kind of code you would write in a real-world situation, and assess accordingly.

Task Stories

Please complete each story in order.

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Story 1

As a user
I want see the number of negative words in a text input
So that we can track the amount of negative content

Acceptance criteria

• Total number of negative words output to screen
• Console output the total number of negative words and the phrase analysed
• Example output:

Scanned the text:
The weather in Manchester in winter is bad. It rains all the time - it must be horrible for people visiting.
Total Number of negative words: 2
Press ANY key to exit.

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Story 2

As an administrator
I want to be able to change the set of negative words counted
So that I don't need to change the code when we select new negative words or phrases

Acceptance criteria

• Negative words retrieved from data store.
• Number of negative words found respects words available from the data store.

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Story 3

As a reader
I want negative words filtered out of the text
So that our clients are not upset by negative language

Acceptance criteria

• Any negative word in the text should have its middle replaced with hashes.

  "Horrible"

  should be outputted

  "H######e"

  .

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Story 4

As an content curator
I want disable negative word filtering on the command line
So that I can see the original content.

Acceptance criteria

• Count of negative words output
• Original text output

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Thanks for your time, we look forward to hearing from you!