Im working on a Wordpress project that will take entries from a 3rd party API and add them as individual post on the site with the data saved as metadata. Up until now it was going well but with the number of entries on the API increasing im starting to run in to issue regarding the server timing out while making the API request.
What I have done now is to wright the response from the API that is all the interies in json format to a file then creating the post on the site from the file. But still running in to time out issues.
That brings me to my question.
I want to break the data (from the JSON file) up in to smaller manageable request to the server. only processing lets say 20 entries at a time out if the 1000+. But I need to find out how do I select the entry number in the json file, for example after processing the first 20 entries I then want the function to go back to the json file but this time start at the 21st entry in the file, if at all possible. Or is there a better method of programmatically creating post from a json file with a large amount of entries.
// Just some more info.
Im using wp_remote_post() with blocking set to false to run the function that creates the post in batches in the background.
Related
So currently I am doing a synchronous call to mulesoft which returns raw image(no encoding is done) and then storing the image in a document.So when ever we are getting bigger images more than 6 MB it is hitting the governerlimit for max size.So wanted to know is there a way to get a reduced or compressed image
I have no idea if Mule has anything to preprocess images, compress...
In apex you could try to make the operation asynchronous to benefit from 22 mb limit. But there wil be no UI element for it anymore, your component / user would have to periodically check if the file got saved or something.
you could always change the direction. Make Mule push to salesforce over standard API instead of apex code pulling from Mule. From what I remember standard files API is good for up to 2GB.
Maybe send some notification to mule that you want file XYZ attached to account 123, mule would insert contentversion, contentdocumentlink? And have apex periodically check.
And when file is not needed - nightly job to delete files created by "Mr mule" over a week ago?
I am using json script to fetch Okta users data and save in .json files by cronjob till this process working fine.
After this try to load json files data into Kibana index to create visualizations using config files, Starting point data loading working fine randomly after certain period of time loading process getting very slow.
on basis of my observation only 3k to 4k data loaded daily means in 24 hr. .
can anyone please suggest any solution on this ?
I've already tried to connect LabVIEW to Firebase, and it needs a json file. I added a knob to control the input and meter as an output. When I change the knob, let's say, to 5 for example, the meter also changes to 5.
Now the machine code is actually made, and it gives an array for the results of tests, and I want to send that array to Firebase.
How can I accomplish this?
you can use the api rest to your real time database in firebase
api rest Firebase
then your labview code can use http post and http get to save and retrieve data.
the url have the following sintax
https://proyectID.firebaseio.com/Datacollection/somename.json
the somename.json does not mean a file, just mean the tag to be saved in your database, to encode any labview data use the function "Flatten to Json"
sample code
Please presume that I do not know anything about any of the things I will be mentioning because I really do not.
Most OpenData sites have the possibility of exporting the presented file either in for example .csv or .json formats (Example). They also always have an API tab (Example API).
I presume using the API would mean that if the data is updated you would receive the change whereas exporting it as .csv would mean the content will not be changed anymore.
My questions is: how does one use this API code to display the same table one would get when exporting a .csv file.
Would you use a database to extract this information? What kind of database and how do you link the API to the database?
I presume using the API would mean that if the data is updated you
would receive the change whereas exporting it as .csv would mean the
content will not be changed anymore.
You are correct in the sense that, if you download the csv to your computer, that csv file won't be updated any more.
An API is something you would call - in this case, you can call the API, saying "Hey, do you have the latest data on xxx?", and you will be given back the latest information about what you have asked. This does not mean though, that this site will notify you when there's a new update - you will have to keep calling the API (every hour, every day etc) to see if there are any changes.
My questions is: how does one use this API code to display the same
table one would get when exporting a .csv file.
You would:
Call the API from a server code, or a cloud service
Let the server code or cloud service decipher (or "Parse") the response
Use the deciphered response to create a table made out of HTML, or to place it into a database
Would you use a database to extract this information? What kind of
database and how do you link the API to the database?
You wouldn't necessarily need a database to extract information, although a database would be nice to place the final data inside.
You would first need some sort of way to "call the REST API". There are many ways to do this - using Shell Script, using Python, using Excel VBA etc.
I understand this is hard to visualize, so here is an example of step 1, where you can retrieve information.
Try placing in the below URL (taken from the site you showed us) in your address bar of your Chrome browser, and hit enter
http://opendata.brussels.be/api/records/1.0/search/?dataset=associations-clubs-sportifs
See how it gives back a lot of text with many brackets and commas? You've basically asked the site to give you some data, and this is the response they gave back (different browsers work differently - IE asks you to download the response as a .json file). You've basically called an API.
To see this data more cleanly, open your developer tools of your Chrome browser, and enter the following JavaScript code
var url = 'http://opendata.brussels.be/api/records/1.0/search/?dataset=associations-clubs-sportifs';
var xhr = new XMLHttpRequest();
xhr.open('GET', url);
xhr.setRequestHeader('X-Requested-With', 'XMLHttpRequest');
xhr.onload = function() {
if (xhr.status === 200) {
// success
console.log(JSON.parse(xhr.responseText));
} else {
// error
console.log(JSON.parse(xhr.responseText));
}
};
xhr.send();
When you hit enter, a response will come back, stating "Object". If you click through the arrows, you can see this is a cleaner version of the data we just saw - more human readable.
In this case, I used JavaScript to retrieve the data, but you can use whatever code you want. You could proceed to use JavaScript to decipher the data, manipulate it, and push it into a database.
kintone is an online cloud database where you can customize it to run JavaScript codes, and have it store the data in their database, so you'll have the data stored online like in the below image. This is just one example of a database you can use.
There are other cloud services which allow you to connect API end points of different services with each other, like IFTTT and Zapier, but I'm not sure if they connect with open data.
The page you linked to shows that the API returns values as a JSON object. To access the data you can just send an appropriate http request and the response will be the requested data as a JSON. You can send requests like that over your browser if you want to.
Most languages allow JSON objects to be manipulated pro grammatically if you need to do work on the data.
Restful APIs publish model is "request and publish". Wen you request data via an API endpoint, you would receive response strings in JSON objects, CSV tables or XML.
The publisher, in this case Opendata.brussel.be would update their database on regular basis and publish the results via an API endpoint.
If you want to download the table as a relational data table in a CSV file, you'd need to parse the JSON objects into relational tables. This can be tricky since each JSON response string can vary in their paths.
There're several ways to do it. You can either write scripts to flatten the JSON objects or use a tool to parse and flatten the objects for you.
I use a tool called Acho to turn API endpoints into CSV files. It would parse almost all API endpoints through the parameters and even configure for multiple requests, such as iterative and recursive requests.
Acho API parser
I am building a website (probably in Wordpress) which takes data from a number of different sources for display on various pages.
The sources:
A Twitter feed
A Flickr feed
A database on a remote server
A local database
From each source I will mainly retrieve
A short string, e.g. for Twitter, the Tweet, and from the local database the title of a blog page.
An associated image, if one exists
A link identifying the content at its source
My question is:
What is the best way to a) store the data and b) retrieve the data
My thinking is:
i) Write a script that is run every 2 or so minutes on a cron job
ii) the script retrieves data from all sources and stores it in the local database
iii) application code can then retrieve all data from the one source, the local database
This should make application code easier to manage - we only ever draw data from one source in application code - and that's the main appeal. But is it overkill for a relatively small site?
I would recommend putting the twitter feed and flickr feed in JavaScript. Both flickr and twitter have REST APIs. By putting it on the client you free up resources on your server, create less complexity, your users won't be waiting around for your server to fetch the data, and you can let twitter and flickr cache the data for you.
This assumes you know JavaScript. Once you get past JavaScript quirks, it's not a bad language. Give Jquery a try. JQuery Twitter plugin Flickery JQuery plugin. There are others, that's just the first results from Google.
As for your data on the local server and remote server, that will depend more on the data that is being fetched. I would go with whatever you can develop the fastest and gives acceptable results. If that means making a REST call from server to sever, then go for it. IF the remote server is slow to respond, I would go the AJAX REST API method.
And for the local database, you are going to have to write server side code for that, so I would do that inside the Wordpress "framework".
Hope that helps.