panther | Detect threats with log data | GraphQL library

So I have a json list and use two input request.args.get('sport') and request.args.get('team') to find those values in my list. If the value is found I want to output more info on the team and sport.

This is what I tried to do:

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I am using Panther to test my Symfony 5 application.

I need to test my Stripe payment system. I can fill out the form fields, but when I submit Stripe gives me an error:

(index):1 You may test your Stripe.js integration over HTTP. However, live Stripe.js integrations must use HTTPS.

Indeed, it seems that Panther does not launch the client in HTTPS but in HTTP.

I installed the Symfony SSL certificate locally (so I can access https://127.0.0.1:8000)

But Panther will just run http://127.0.0.1:9080 (9080 is the port occuped by panther when launching tests)

How could I fix this? I did not see any option in the doc ( https://github.com/symfony/panther ), nor any way out on this subject

This is my code :

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When I use loadMovies function I get desired movies only after the ViewController has called function and disposed it, this function is inside API

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I want to make the name of a submodel unique but I can't think of a way to do it. Imagine I have the following model architecture:

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I have the following pandas dataframe, only showing one column

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I'm trying to filter down results from a large array of objects. Basically I have an input and I want to filter down the results when the input matches one or part of the keywords.

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BACKGROUND

I have three large tables (employee_info, driver_info, school_info) that I have joined together on common attributes using a series of LEFT OUTER JOIN operations. After each join, the resulting number of records increased slightly, indicating that there are duplicate IDs in the data. To try and find all of the duplicates in the IDs, I dumped the ID columns into a temp table like so:

Original Dump of ID Columns first_name last_name employee_id driver_id school_id Mickey Mouse 1234 abcd wxyz Donald Duck 2423 heca qwer Mary Poppins 1111 acbe aaaa Wiley Cayote 1234 strf aaaa Daffy Duck 1256 acbe pqrs Bugs Bunny 9999 strf yxwv Pink Panther 2222 zzzz zzaa Michael Archangel 0000 rstu aaaa

In this overly simplified example, you will see that IDs 1234 (employee_id), strf (driver_id), and aaaa (school_id) are each duplicated at least once. I would like to add a count column for each of the ID columns, and populate them with the count for each ID used, like so:

ID Columns with Counts first_name last_name employee_id employee_id_count driver_id driver_id_count school_id school_id_count Mickey Mouse 1234 2 abcd 1 wxyz 1 Donald Duck 2423 1 heca 1 qwer 1 Mary Poppins 1111 1 acbe 1 aaaa 3 Wiley Cayote 1234 2 strf 2 aaaa 3 Daffy Duck 1256 1 acbe 1 pqrs 1 Bugs Bunny 9999 1 strf 2 yxwv 1 Pink Panther 2222 1 zzzz 1 zzaa 1 Michael Archangel 0000 1 rstu 1 aaaa 3

You can see that IDs 1234 and strf each have 2 in the count, and aaaa has 3. After generating this table, my goal is to pull out all records where any of the counts are greater than 1, like so:

All Records with One or More Duplicate IDs first_name last_name employee_id employee_id_count driver_id driver_id_count school_id school_id_count Mickey Mouse 1234 2 abcd 1 wxyz 1 Mary Poppins 1111 1 acbe 1 aaaa 3 Wiley Cayote 1234 2 strf 2 aaaa 3 Bugs Bunny 9999 1 strf 2 yxwv 1 Michael Archangel 0000 1 rstu 1 aaaa 3 Real World Perspective

In my real-world work, the JOIN'd table contains 100 columns, 15 different ID fields and over 30,000 records, and the final table came out to be 28 more than the original. This may seem like a small amount, but each of the 28 represent a broken link that we must fix.

Is there a simple way to get the counts populated like in the second table above? I have been wrestling with this for hours already, and have not been able to make this work. I tried some aggregate functions, but they cannot be used in table UPDATE operations.

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I am looking to access dictionary values and append them to an existing dataframe. My dictionary goes like this: data -> (10 different games) -> each games has (commence_time,home_team,sites,sites_count,sport_key,sport_nice,teams) -> each site (~17 sites total) has -> (last_update,odds,site_key,site_nice) then odds has -> h2h which contains two numbers

I wish to:

• loop through the dictionary "data"
• find h2h odds values for a specific 'site'
• append these to an existing dataset with team names

Please advise. Thanks!

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I am working on a Symfony project in which I need to use Panther for testing.

For that, I need the chromeDriver corresponding to my version of Google Chrome.

Google chrome is up to date in its latest version: Version 88.0.4324.104

So I downloaded the ChromeDriver corresponding to version 88 of google chrome, on the ChromeDriver download site: https://chromedriver.chromium.org/downloads

Now when I run the tests with this version of ChromeDriver I get the following error:

Facebook\WebDriver\Exception\SessionNotCreatedException : session not created: This version of ChromeDriver only supports Chrome version 84

If I run manually the ChromeDriver.exe, I can see : Starting ChromeDriver 88.0.4324.96, so it's the good version

I don't understand why, since I have version 88 of Google Chrome, and the correct version of ChromeDriver

EDIT : Here is the answer :

I had this folder: C:/webdrivers with an old chromeDriver. Panther will first search in this folder, before going to look for the chromeDriver in the project/drivers folder

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