clockwork | php dev tools in your browser - server-side component
kandi X-RAY | clockwork Summary
kandi X-RAY | clockwork Summary
Clockwork is a development tool for PHP available right in your browser. Clockwork gives you an insight into your application runtime - including request data, performance metrics, log entries, database queries, cache queries, redis commands, dispatched events, queued jobs, rendered views and more - for HTTP requests, commands, queue jobs and tests. This repository contains the server-side component of Clockwork. Check out on the Clockwork website for details.
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Top functions reviewed by kandi - BETA
- Register the data sources .
- Process the request .
- Normalize given data
- Finds all listeners for the given event .
- Register clockwork .
- Detect duplicate query .
- Update Client Metadata
- Convert a query parameter to a string .
- Read the previous line from the index
- Loads the resources .
clockwork Key Features
clockwork Examples and Code Snippets
Community Discussions
Trending Discussions on clockwork
QUESTION
I'm trying to output data (a list of songs and albums by RUSH) from a CSV file in my PowerShell script, and I got the data sorted the way I need it, but I can't figure out how to format it the way I need. The following is how my code is currently written:
...ANSWER
Answered 2022-Mar-01 at 04:22I would first try setting the values to a variable then manipulating it for your output.
If you could provide a copy of the CSV I could take a further look.
QUESTION
query scope is not working, i'm doing dd()
but can't solve the issue this way
queryscope method in model
...ANSWER
Answered 2022-Jan-09 at 19:58public function scopeFilter($query, array $filters)
{
$search = $filters['search'] ?? false;
$category = $filters['category'] ?? false;
$query
->when($search, function ($query, $search) {
$query
->where('title', 'like', '%' . $search . '%')
->orWhere('body', 'like', '%' . $search . '%');
})
->when($category, function ($query, $category) {
$query
->whereHas('categories', function ($query) use ($category) {
$query->where('slug', $category);
});
});
}
QUESTION
Question: How can I improve either my method ("expand_traits" posted below) or the data structure I am trying to use? I estimate the runtime of my solution to be a few hours, which seems like I went very wrong somewhere (considering it takes ~ 10 minutes to collect all of the data, and possibly a few hours to transform it into something I can analyze).
I have collected some data that is essentially a Pandas DataFrame, where some columns in the table are a list of lists (technically formatted as strings, so when I evaluate them I am using ast.literal_eval(column) - if that's relevant).
To explain the context a bit:
The data contains historical stats from League of Legends TFT game mode. I am aiming to perform some analysis on it in terms of being able to group by each item in the list, and see how they perform on average. I can only really think of doing this in terms of tables - something like df.groupby(by='Trait').mean() to get the average win-rate for each trait, but am open to other ideas.
Here is an example of the dataset:
Rank Summoner Traits Units 1 name1 ['7 Innovator', '1 Transformer', '3 Enchanter', '2 Socialite', '2 Clockwork', '2 Scholar', '2 Scrap'] ['Ezreal', 'Singed', 'Zilean', 'Taric', 'Heimerdinger', 'Janna', 'Orianna', 'Seraphine', 'Jayce'] 2 name2 ['1 Cuddly', '1 Glutton', '5 Mercenary', '4 Bruiser', '6 Chemtech', '2 Scholar', '1 Socialite', '2 Twinshot'] ['Illaoi', 'Gangplank', 'MissFortune', 'Lissandra', 'Zac', 'Urgot', 'DrMundo', 'TahmKench', 'Yuumi', 'Viktor']The total records in the table is approximately 40,000 (doesn't sound like much) but my original idea was to basically "unpivot" the nested lists into their own record.
My idea looks a little something like:
Summoner Trait Record_ID name1 7 Innovator id_1 name1 1 Transformer id_1 ... ... ... name2 1 Cuddly id_2 name2 1 Glutton id_2Due to the number of items in each list, this transformation will turn my ~40,000 records into a few hundred thousand.
Another thing to note is that because this transformation would be unique to each column that contains lists, I would need to perform it separately (as far as I know) on each column. Here is the current code I am using to do this to the "Traits" column, which takes my computer around 35 mins to complete (also pretty average PC - nothing crazy but equivalent to intel i5 & 16 gigs of RAM.
...ANSWER
Answered 2021-Dec-20 at 20:17Use explode
:
QUESTION
ANSWER
Answered 2021-Aug-23 at 11:22you must specify the specific "View" in which you need data in the "ComposerServiceProvider". Otherwise, the requests that are described will be executed for each "view".
You now have all the view "*"
QUESTION
I have been trying to wrap my head around async and aiohttp with limited success lately and could use some help please.
I would like to fire off an API requests like clockwork with a small fixed length of time between them, let's just say 0.1s and we'll assume an api rate limit of 10 requests/second, using aiohttp. When the result comes back, I would like to perform a couple of checks on it, which if successful will terminate the function early.
Following some examples I found online, I have build the following script which almost does what I expect, except that the asyncronous http GET requests aren't actually being sent every 0.1s. They seem to be a bit slower, like 0.25s or 0.3s which is about the length that the request takes. This means its not offering any benefit over running it in serial. Could somone please point out where I can change the code to get the desired behaviour? I would also like to optimize it where possible since the GET requests will always be requesting the same endpoint and there might be optimisations to be made there, such as sharing the session object, for example.
Thanks
...ANSWER
Answered 2021-Jun-06 at 17:33You can use BoundedSempahore to limit the no. of concurrent api requests.
The reason you were not seeing async
behaviour in your code is because you are await
ing on the async function's(session.get
) response inside the for
loop.
In each iteration you wait for the async function to return before going to the next iteration, which is equivalent to calling the urls in sequence.
All the iterations are not started at once as you may have thought.
If you want to run a group of tasks concurrently and manage them as a unit, you can use asyncio.gather
.
QUESTION
I need to remove the right icons that are the up and down arrows from a Material UI TextField that I modified from the Material UI documentations (https://material-ui.com/components/autocomplete/#autocomplete) Highlights section.
I tried some solutions from stack overflow like (Remove the arrow and cross that appears for TextField type=“time” material-ui React) and (Remove the arrow and cross that appears for TextField type=“time” material-ui React) but they didn't work and, I ended up with the following code:
App.js:
...ANSWER
Answered 2021-May-14 at 13:22According to this document you need to add freesolo
QUESTION
I need to modify the Autocomplete Highlight provided as an example to fit my needs. (https://material-ui.com/components/autocomplete/#autocomplete)
The Highlight example provided has borders so I used the solution from this link (how to remove border in textfield fieldset in material ui) to modify my TextField and remove it's border and it works except that when I type in the search input I don't get the autocomplete suggestions.
I also replaced the Icon, and ended up with the following code:
...ANSWER
Answered 2021-May-14 at 01:59In order for autocomplete to work , you also need to pass on the InputProps
down to custom textfield.
So I would change your renderInput
function like this:
QUESTION
I have read the MongoDB's official guide on Expire Data from Collections by Setting TTL. I have set everything up and everything is running like clockwork.
One of the reasons why I have enabled the TTL is because one of the product's requirements is to auto-delete a specific collection. Well, the TLL handles it quite well. However, I have no idea if the data expiration will also persist on the MongoDB backups. The data is also supposed to be automatically deleted from the backups. In case the backups get leaked or restored, the expired data shouldn't be there.
...ANSWER
Answered 2021-May-07 at 01:50Backup contains the data that was present in the database at the time of the backup.
Once a backup is made, it's just a bunch of data that sits somewhere without being touched. The documents that have been deleted since the backup was taken are still in the backup (arguably this is the point of the backup to begin with).
If you want to expire data from backups, the normal solution is to delete backups older than a certain age.
QUESTION
I used to have some NET Framework WCF service. It worked like a clockwork. Once NET5 and CoreWCF were released, I migrated the service to, well, NET5 and CoreWCF.
Now it hangs up after some time. If the load is light, then it might work for a day or so (and then randomly die), but if load becomes heavier, then it may die just in an hour or so. When it dies, then I can see that it starts consuming a lot of processing power.
The clients work fine and even if I restart the service, then they will pick up the connection (after complaining for a while that the service is unavailable).
The service runs as a singleton.
Logging and then monitoring when did the logging die seems to be the only way to figure out what's going on. Unfortunately, such logging produces an outrageous amount of data and it seems producing some data even after the "core" of the service no longer operates properly.
Switching to gRPC is possible. However, this will require rewriting all clients.
Debugging is a no go because the service dies, let's say, somewhere after between one hour and one day and when it handles multiple connections and timer events.
I wonder if anyone has any ideas. Thanks a lot!
...ANSWER
Answered 2021-Apr-06 at 03:16Suggestion: Run the service in a debugger and then see where it dies and/or starts consuming CPU cycles.
If you can't use a debugger, then I think logging/monitoring is your best bet. Perhaps you can reduce the amount of data logged to focus only the "core" of the service.
QUESTION
I am using SortedSet to store objects in sorted order. I keep getting ValueError object not in list even though the object is indeed in the list.
Here is a reproducible example
...ANSWER
Answered 2021-Mar-25 at 19:24You forgot to return self.p < other.p
.
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