In general I want to export data from asp.net mvc application to Google Sheets for example list of people. I've already set up connection and authenticated app with my Google account (trough OAuth2) but now I'm trying to send my list of objects to api and then handle it in script (by putting all data in new file) and couldn't get my head around this.
Here is some sample code in my app that sends the request.
public async Task<ActionResult> SendTestData()
{
var result = new AuthorizationCodeMvcApp(this, new AppFlowMetadata()).
AuthorizeAsync(CancellationToken.None).Result;
if (result.Credential != null)
{
string scriptId = "MY_SCRIPT_ID";
var service = new ScriptService(new BaseClientService.Initializer
{
HttpClientInitializer = result.Credential,
ApplicationName = "Test"
});
IList<object> parameters = new List<object>();
var people= new List<Person>(); // next i'm selecting data from db.Person to this variable
parameters.Add(people);
ExecutionRequest req = new ExecutionRequest();
req.Function = "testFunction";
req.Parameters = parameters;
ScriptsResource.RunRequest runReq = service.Scripts.Run(req, scriptId);
try
{
Operation op = runReq.Execute();
if (op.Error != null)
{
// The API executed, but the script returned an error.
// Extract the first (and only) set of error details
// as a IDictionary. The values of this dictionary are
// the script's 'errorMessage' and 'errorType', and an
// array of stack trace elements. Casting the array as
// a JSON JArray allows the trace elements to be accessed
// directly.
IDictionary<string, object> error = op.Error.Details[0];
if (error["scriptStackTraceElements"] != null)
{
// There may not be a stacktrace if the script didn't
// start executing.
Newtonsoft.Json.Linq.JArray st =
(Newtonsoft.Json.Linq.JArray)error["scriptStackTraceElements"];
}
}
else
{
// The result provided by the API needs to be cast into
// the correct type, based upon what types the Apps
// Script function returns. Here, the function returns
// an Apps Script Object with String keys and values.
// It is most convenient to cast the return value as a JSON
// JObject (folderSet).
Newtonsoft.Json.Linq.JObject folderSet =
(Newtonsoft.Json.Linq.JObject)op.Response["result"];
}
}
catch (Google.GoogleApiException e)
{
// The API encountered a problem before the script
// started executing.
AddAlert(Severity.error, e.Message);
}
return RedirectToAction("Index", "Controller");
}
else
{
return new RedirectResult(result.RedirectUri);
}
}
The next is how to handle this data in scripts - are they serialized to JSON there?
The execution API calls are essentially REST calls so the payload should be serialized as per that. Stringified JSON is typically fine. Your GAS function should then parse that payload to consume the encoded lists
var data = JSON.parse(payload);
Related
Using the Twitch API and vert.x - I'm looking to continuously send requests to Twitch's API using a WebClient and Twitch's cursor response to go page by page. However I'm not sure how to go back and keep doing queries until a condition is met due to vert.x's asynchronous nature.
Here's my code so far
public void getEntireStreamList(Handler<AsyncResult<JsonObject>> handler) {
JsonObject data = new JsonObject();
getLiveChannels(100, result -> {
if(result.succeeded()) {
JsonObject json = result.result();
String cursor = json.getJsonObject("pagination").getString("cursor");
data.put("data", json.getJsonArray("data"));
if(json.getJsonArray("data").size() < 100) { // IF NOT LAST PAGE
// GO BACK AND DO AGAIN WITH CURSOR IN REQUEST
}
handler.handle(Future.succeededFuture(data));
} else
handler.handle(Future.failedFuture(result.cause()));
});
}
Ideally I'd be able to call getLiveChannels with the cursor String from the previous request to continue the search.
You will need to use Future composition.
Here's my code for your problem:
public void getEntireStreamList(Handler<AsyncResult<JsonObject>> handler) {
JsonArray data = new JsonArray();
// create initial Future for first function call
Future<JsonObject> initFuture = Future.future();
// complete Future when getLiveChannels completes
// fail on exception
getLiveChannels(100, initFuture.completer());
// Create a callback that returns a Future
// for composition.
final AtomicReference<Function<JsonObject, Future<JsonObject>>> callback = new AtomicReference<>();
// Create Function that calls composition with itself.
// This is similar to recursion.
Function<JsonObject, Future<JsonObject>> cb = new Function<JsonObject, Future<JsonObject>>() {
#Override
public Future<JsonObject> apply(JsonObject json) {
// new Future to return
Future<JsonObject> f = Future.future();
// Do what you wanna do with the data
String cursor = json.getJsonObject("pagination").getString("cursor");
data.addAll(json.getJsonArray("data"));
// IF NOT LAST PAGE
if(json.getJsonArray("data").size() == 100) {
// get more live channels with cursor
getLiveChannels(100, cursor, f.completer());
// return composed Future
return f.compose(this);
}
// Otherwise return completed Future with results.
f.complete(new JsonObject().put("data", data));
return f;
}
};
Future<JsonObject> composite = initFuture.compose(cb);
// Set handler on composite Future (ALL composed futures together)
composite.setHandler(result -> handler.handle(result));
}
The code + comments should speak for themselves if you read the Vert.x docs on sequential Future composition.
I always use methods to insert, update and remove. This is the way my code look just now:
Client side
Template.createClient.events({
'submit form': function(event, tmpl) {
e.preventDefault();
var client = {
name: event.target.name.value,
// .... more fields
}
var validatedData = Clients.validate(client);
if (validatedData.errors) {
// Display validation errors
return;
}
Meteor.call('createClient', validatedData.client, function(error) {
if (error)
// Display error
});
}
});
Client and server side:
Clients = new Mongo.Collection("clients");
Clients.validate = function(client) {
// ---- Clean data ----
client.name = _.str.trim(client.name);
// .... more fields clean
// ---- Validate data ---
var errors = [];
if (!client.name)
errors.push("The name is required.");
// .... more fields validation
// Return and object with errors and cleaned data
return { errors: _.isEmpty(errors) ? undefined : errors, client: client };
}
Meteor.methods({
'createClient': function (client) {
// --- Validate user permisions ---
// If server, validate data again
if (Meteor.isServer) {
var validatedData = Clients.validate(client);
if (validatedData.errors)
// There is no need to send a detailed error, because data was validated on client before
throw new Meteor.Error(500, "Invalid client.");
client = validatedData.client;
}
check(client, {
name: String,
// .... more fields
});
return Clients.insert(client);
}
});
Meteor.call is executed on client and server side, but Meteor doesn't have a way stop the running on the server side if the validation on the client side fails (or at least, I don't know how). With this pattern, I avoid sending data to the server with Meteor.call if validation fail.
I want to start using Collection2, but I can't figure how to get the same pattern. All the examples I found involve the usage of direct Insert and Update on client side and Allow/Deny to manage security, but I want to stick with Meteor.call.
I found on documentation that I can validate before insert or update, but I don't know how to get this to work:
Books.simpleSchema().namedContext().validate({title: "Ulysses", author: "James Joyce"}, {modifier: false});
I know the autoform package, but I want to avoid that package for now.
How can I validate with Collection2 on the client side before sending data to the server side with Meteor.call? Is my pattern wrong or incompatible with Collection2 and I need to do it in another way?
In under 30 lines you can write your very own, full-featured validation package for Collection2. Let's walk through an example:
"use strict"; //keep it clean
var simplyValid = window.simplyValid = {}; //OK, not that clean (global object)
simplyValid.RD = new ReactiveDict(); //store error messages here
/**
*
* #param data is an object with the collection name, index (if storing an array), and field name, as stored in the schema (e.g. 'foo.$.bar')
* #param value is the user-inputted value
* #returns {boolean} true if it's valid
*/
simplyValid.validateField = function (data, value) {
var schema = R.C[data.collection]._c2._simpleSchema; //access the schema from the local collection, 'R.C' is where I store all my collections
var field = data.field;
var fieldVal = field.replace('$', data.idx); //make a seperate key for each array val
var objToValidate = {};
var dbValue = schema._schema[field].dbValue; //custom conversion (standard to metric, dollars to cents, etc.) IGNORE
if (dbValue && value) value = dbValue.call({value: value}); //IGNORE
objToValidate[field] = value; //create a doc to clean
schema.clean(objToValidate, {removeEmptyStrings: false}); //clean the data (trim, etc.)
var isValid = schema.namedContext().validateOne(objToValidate, field, {extendedCustomContext: true}); //FINALLY, we validate
if (isValid) {
simplyValid.RD.set(fieldVal, undefined); //The RD stores error messages, if it's valid, it won't have one
return true;
}
var errorType = schema.namedContext()._getInvalidKeyObject(field).type; //get the error type
var errorMessage = schema.messageForError(errorType, field); //get the message for the given error type
simplyValid.RD.set(fieldVal, errorMessage); //set the error message. it's important to validate on error message because changing an input could get rid of an error message & produce another one
return false;
};
simplyValid.isFieldValid = function (field) {
return simplyValid.RD.equals(field, undefined); //a very cheap function to get the valid state
};
Feel free to hack out the pieces you need and shoot me any questions you might have.
You can send the schema to the client and validate before sending to the server. If you want to use Collection" you need to attach the schema to the collection and use the insert which is something that you don't want. So the best option, for your scenario, is sending the schema to the client and use it to validate.
Also reconsider using mini-mongo instead of using Methods for everything, it will save you lots of time and don't think your app is secure jut because you're using Methods.
I have this angular js code here:
$http.post('/reports/', JSON.stringify($scope.user));
and its hitting my Reports Controller Post method:
[HttpPost]
public dynamic Post(Array data){
//do something
}
but when I check the data in my Post method when it hits in my breakpoint it appears as null :( how do I pass the data from $scope.user to my Controller. I did a console.log of $scope.user and the data is there, it is an object but trying to pass it in as JSON.
I found this:
public HttpResponseMessage Post([FromBody]Customer cust)
{
var newCust = _Repository.InsertCustomer(cust);
if (newCust != null)
{
var msg = new HttpResponseMessage(HttpStatusCode.Created);
msg.Headers.Location = new Uri(Request.RequestUri + newCust.ID.ToString());
return msg;
}
throw new HttpResponseException(HttpStatusCode.Conflict);
}
would I have to put [FromBody] Reports report instead of Array data
Just do this simple as possible, you are missing the parameter name:
$http.post('/reports/', {data: $scope.user});
Make sure that $scope.user is an Array, else change the type.
I am making a windows phone 8 application. Part of this application requires state to be saved. I am saving it as a string of Json. If I open the application, save some data, exit the application and the load it again, it hangs on either GetFolderAsync or OpenStreamForReadAsync. It does not happen every time, but once it starts hanging, I have to kill the whole emulator and make a new one to start the application again.
I have even tried just making an empty file with no data in it and the problem still persistes.
Below is the code I am using to save and load the data. It does not matter where I call the data load whether it be on application start or on the form load it still breaks.
private async Task SaveLists()
{
//XmlSerializer serializer = new XmlSerializer(typeof(ListHolder));
// Get the local folder.
StorageFolder local = Windows.Storage.ApplicationData.Current.LocalFolder;
// Create a new folder name DataFolder.
var dataFolder = await local.CreateFolderAsync("DataFolder",
CreationCollisionOption.OpenIfExists);
// Create a new file named DataFile.txt.
var file = await dataFolder.CreateFileAsync("Lists.json",
CreationCollisionOption.ReplaceExisting);
string json = JsonConvert.SerializeObject(Lists, Formatting.Indented);
byte[] fileBytes = System.Text.Encoding.UTF8.GetBytes(json.ToCharArray());
using (var s = await file.OpenStreamForWriteAsync())
{
s.Write(fileBytes, 0, fileBytes.Length);
}
}
private async Task LoadLists()
{
// Get the local folder.
StorageFolder local = Windows.Storage.ApplicationData.Current.LocalFolder;
if (local != null)
{
try
{
// Get the DataFolder folder.
var dataFolder = await local.GetFolderAsync("DataFolder");
// Get the file.
var files = dataFolder.GetFilesAsync();
var file = await dataFolder.OpenStreamForReadAsync("Lists.json");
string jsonString = "";
// Read the data.
using (StreamReader streamReader = new StreamReader(file))
{
jsonString = streamReader.ReadToEnd();
}
if (jsonString.Length > 0)
{
Lists = JsonConvert.DeserializeObject<List<ItemList>>(jsonString);
}
else
{
Lists = new List<ItemList>();
}
}
catch (Exception ex)
{
Lists = new List<ItemList>();
}
}
}
You are causing a deadlock by calling Result. I explain this deadlock on my blog and in a recent MSDN article. In summary, await will (by default) attempt to resume execution within a context (the current SynchronizationContext unless it is null, in which case it uses the current TaskScheduler).
In your case, the current SynchronizationContext is the UI context, which is only used by the UI thread. So when you block the UI thread by calling Result, the async method cannot schedule back to the UI thread to complete.
So I'd like to write a new set of evaluators in Share based on the result of some repository webscripts.
The current existing Share evaluators are usable through some XML configuration and are related to Alfresco usual meta-data.
But, I'd like to know how to write my own Java evaluator while re using most of the logic already here (BaseEvaluator).
Suppose I have a repository webscript that returns some JSON like {"result" : "true"}:
How do I access it from my custom Evaluator? Mainly how do I access the proxy URL to alfresco webapp from the Spring context?
Do I need to write my own async call in Java?
Where do I find this JSONObject parameter of the required evaluate method?
thanks for your help
See if this helps. This goes into a class that extends BaseEvaluator. Wire the bean in through Spring, then set the evaluator on your actions.
public boolean evaluate(JSONObject jsonObject) {
boolean result = false;
final RequestContext rc = ThreadLocalRequestContext.getRequestContext();
final String userId = rc.getUserId();
try {
final Connector conn = rc.getServiceRegistry().getConnectorService().getConnector("alfresco", userId, ServletUtil.getSession());
final Response response = conn.call("/someco/example?echo=false");
if (response.getStatus().getCode() == Status.STATUS_OK) {
System.out.println(response.getResponse());
try {
org.json.JSONObject json = new org.json.JSONObject(response.getResponse());
result = Boolean.parseBoolean(((String) json.get("result")));
} catch (JSONException je) {
je.printStackTrace();
return false;
}
} else {
System.out.println("Call failed, code:" + response.getStatus().getCode());
return false;
}
} catch (ConnectorServiceException cse) {
cse.printStackTrace();
return false;
}
return result;
}
In this example I am using a simple example web script that echoes back your JSON and switches the result based on the value of the "echo" argument. So when it is called with "false", the JSON returns false and the evaluator returns false.
I should probably point out the name collision between the org.json.simple.JSONObject that the evaluate method expects and the org.json.JSONObject I am using to snag the result from the response JSON.