AngularJS: REST/CRUD Client Example Using GET, POST, PUT, and DELETE?

Frontend and Backend Development
1

Using AngularJS and ngResource, how do I send a proper PUT request that embeds an ID with updated data?

angular.module('customModule', ['ngResource'])
  .factory('DataService', function($resource) {
    return $resource('http://localhost:5000/data/:dataId', {}, {
      list: {method: 'GET', params: {dataId: ''}, isArray: true},
      add: {method: 'POST'},
      edit: {method: 'PUT'},
      remove: {method: 'DELETE'}
    });
  });

$scope.modifyData = function() {
    DataService.edit({dataId: $scope.dataId}, function() {
        $location.path('/home');
    });
};
2

hey, i run into similar problms. ended up sending full obj with id in both url and payload. sometimes backend needs the redundncy, even if it feels odd. hope this tweak works for u too!

3

i’ve seen issues crop up if u only use the url id. try packin the full obj with its id too, that often clears up mess mismatches on the server. it can be a bit quirky!

4

hey folks, ive noticed adding the complete object with the id in both the url and payload can clear server confusion. since our backend might need explicit matching, have u tried adjusting your middleware? im curious if this got solved in any other unique way on your end?

5

In my experience, precise alignment between the client payload and server expectations is paramount when using AngularJS with ngResource for PUT requests. I found that manipulating the request transform functions to include all mandatory fields, particularly embedding the id in both the URL and the payload, avoids data discrepancies during updates. Additionally, verifying backend configurations to ensure they match the structure sent from the client has been a valuable troubleshooting step. This method has reduced unexpected failures and improved the reliability of the update process.

6

Based on personal experience, I have found that ensuring the PUT request includes the ID not only in the URL parameter but also in the data payload can resolve unexpected issues. Often the server expects the complete object, meaning that omitting any required fields or providing them inconsistently might lead to failures in data update. It is also important to verify that the server-side endpoint is properly configured to handle PUT requests. In my projects I made sure that both client and server had matching expectations regarding resource structure and response headers, which ultimately led to a reliable update process.