I think this package is interesting for many people so please help me to get it out and known to them by spreading the word. In the next time I’m going to add some small improvements to the code and also install the CI pipeline on the project. I’ve now used the package in two of my latest projects and I’m quite happy with the implementation. The Transformer interface defines two methods for registering your field bindings and also for the information which class type it can transform.Īs you can see the standard case from the basic example gets also handled out of the box, that means no configuration for the firstname and lastname fields are necessary. register ( new FieldBinding ( 'address', 'address', Address :: class ) } public function transforms () Let’s reuse the mentioned Person class from above. For the standard case (json field name equals property name) no further configuration should be necessary and if I want to transform a more complex type I should be able to define a Tranformer for it. The package should provide me with an easy mechanism to transform JSON into a PHP model instance. A few weeks ago I was hacked of to do this sh** again and I decided to write a PHP package called json-decoder. To solve this issue I implement some sort of conversion everytime I’m trying to decode data back into its original model. The jsonencode function is capable of returning the value encoded in JSON in an.
Once the assoc parameter is TRUE, then the returned objects will be converted to associative arrays. It has four parameters: json, assoc, depth, and options. In most situations both approaches are not useful because you need objects with the initial type (especially if you are using PHP7 type hints ❤️️). The jsondecode function is used for taking a JSON encoded string and converting it into a PHP variable. json_decode returns the decoded data in an object of type stdClass or if you use the assoc parameter the data gets stored in an array. Pandas how to find column contains a certain value Recommended way to install multiple Python versions on Ubuntu 20.04 Build super fast web scraper with Python x100 than BeautifulSoup How to convert a SQL query result to a Pandas DataFrame in Python How to write a Pandas DataFrame to a. The encoding part is easy, add the JsonSerializable interface to the model and implement the JsonSerialize method, call json_encode on a model instance and you are done.īut the decoding confronts me with the same issue everytime I need to decode JSON data. In almost every case I serialize my data with json_encode and at some point in time I use json_decode to get the data back into a somehow structured format.įor example I’m trying to encode/decode a class called Person. JSON is the format I use the most when it comes to data transfer.