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tomcodes

tomcodes

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Level 1
3,970 XP
Oct
26
1 month ago
Activity icon

Replied to How To Keep Session Between 2 HTTP Tests?

Oh yes, good catch, thank you very much!

Activity icon

Started a new Conversation How To Keep Session Between 2 HTTP Tests?

I am working on tests on a new user to take an appointment with somebody.

I must be missing something critical because I can't keep the session between 2 assertions.

What am I doing wrong there?


    /** @test */
    public function we_should_be_able_to_take_an_appointment()
    {
        $user = User::find(1);
        $this->followingRedirects()
            ->post('/new-appointment', [
                '_token' => csrf_token(),
                'user_id' => $user->id,
                'start_at' => Carbon::now()->startOfWeek()->addDays(7)->setTime(10, 0, 0)->format('Y-m-d H:i:s'),
            ])
            ->assertSee('10:00');

        $this->get('/connection')
            ->assertSee('10:10');
}

The 2nd assertion does not work because I get redirected to /.

Aug
20
3 months ago
Activity icon

Started a new Conversation Efficient Way To Identify Duplicate Entities

Hello!

I am working on an app where users handle their ownr clients (it could reach at some point around 10-20k clients per user).

Currently we do not have any client merge / duplicate detection mechanism. I have started implementing a de-duplication detection system to allow our users to merge themselves their duplicate clients.

I have started an algorithm the dumb way:

  • For a given user, get a collection of all his clients
  • Iterate over the clients
    • Iterate over a clone of the clients (where I filter out clients that have already been compared)
      • For each field (firstname, lastname, city etc.) I calculate a levenshtein distance that contributes to a score

This works pretty well for a reasonnable amount of clients (around 500).

However, beyond this limit, the number of client <-> client combinations to perform is going up drastically.

For instance, for 1000 clients, this would make 999 + 998 + 997 + ... = 498'501client comparisons to be done.

I have already reached memory limits in my Docker container. Am I doing this wrong?

I have heard about perceptual hashing, soundex algorithm and cluster analysis but do not really know where to head next.

Any input would be greatly appreciated! Thank you.