I'm trying to put an image in Adaptive Card in Bot framework like this way:
card.Body.Add(new AdaptiveImage()
{
Type = "Image",
Url = new Uri(pictureUrl),
Size = AdaptiveImageSize.Large
});
It's working. The problem is with Url. I get images from the external web service in Base64 format. But sometimes I get too large image so I get The uri string is too long exception.
Is there any way how to handle that problem? For example, enable putting the image in Adaptive card in bytes.
thanks for reporting this issue. The root cause is that the pictureUrl is longer than .NET's max Uri length. We're tracking fixing this here.
There's a pretty simple workaround available, since the limitation is occurring in the .NET C# library which you're using to simply author the card, but WebChat doesn't use the C# library to display cards (it uses the JS library, and JS/HTML doesn't have a length limit!). Therefore, the only thing that isn't working in your case is generating the JSON... but there's a simple fix!
Workaround:
Define the following class, extending AdaptiveImage, adding a LongUrl property (which writes to the same url property in the JSON).
public class AdaptiveImageWithLongUrl : AdaptiveImage
{
[JsonProperty(PropertyName = "url", Required = Required.Always)]
public string LongUrl { get; set; }
}
Then, use your new image class and the new property when assigning long urls!
// A data URL that's longer than .NET max length
string actualUrl = "data:image/gif;base64," + string.Join("", new int[120000].Select(i => "A")) + "end";
AdaptiveCard card = new AdaptiveCard("1.0")
{
Body =
{
new AdaptiveImageWithLongUrl()
{
LongUrl = actualUrl
}
}
};
// Place the JObject in the attachment!
var attachment = new Attachment()
{
Content = card,
ContentType = "application/vnd.microsoft.card.adaptive",
Name = "cardName"
};
Related
I am trying to get the full contents of my modules From Zoho to our local Server. The deluge code does work as it returns to me the data which is being sent via the API. However, once it reaches the API, it is null. Any idea?
Below is the deluge code:
// Create a map that holds the values of the new contact that needs to be created
evaluation_info = Map();
evaluation_info.put("BulkData",zoho.crm.getRecords("Publishers"));
data = Map();
data.put(evaluation_info);
response = invokeurl
[
url :"https://zohoapi.xxxxx.com/publisher/publish"
type :POST
parameters:data
connection:"zohowebapi"
];
info data; (data returns all the data from publishers)
Here is my ASP.NET core restful API. It does ping it and create the file but the content of the file is null.
Route("[controller]")]
[ApiController]
public class PublisherController : ControllerBase
{
[HttpGet("[action]"), HttpPost("[action]")]
public void Publish(string data)
{
(it's already null when it comes here. why?)
string JSONresult = JsonConvert.SerializeObject(data);
string path = #"C:\storage\journalytics_evaluationsv2.json";
using (var file = new StreamWriter(path, true))
{
file.WriteLine(JSONresult.ToString());
file.Close();
}
}
}
}
What am I missing? Thank you
After contacting Zoho support, the solution he offered was to loop through the data in order to get all the contents from a module (if they are more than 200 records. With the solution provided, one doesn't really need the deluge code anymore as long as you have the ZOHO api set to your account in code. This was my final solution. This solution is not scalable at all. It's best to work with the BULK CSV.
// Our own ZohoAPI which lets us connect and authenticate etc. Yours may look slightly different
ZohoApi zohoApi = new ZohoApi();
zohoApi.Initialize();
ZCRMRestClient restClient = ZCRMRestClient.GetInstance();
var allMedicalJournals = new List<ZCRMRecord>();
for (int i = 1; i <= 30; i++)
{
List<ZCRMRecord> accountAccessRecords2 =
restClient.GetModuleInstance("Journals").SearchByCriteria("Tag:equals:MedicalSet", i, 200).BulkData.ToList();
foreach (var newData in accountAccessRecords2)
allMedicalJournals.Add(newData);
}
As part of ML automation process I want to dynamically create new AutoML model. I'm using C# (.net framework) and Google.Cloud.AutoML.V1.
After trying to run CreateDataSet code:
var autoMlClient = AutoMlClient.Create();
var parent = LocationName.FromProjectLocation(_projectId, _locationId);
var dataset = new Google.Cloud.AutoML.V1.Dataset();
dataset.DisplayName = "NewDataSet";
var response = autoMlClient.CreateDataset(parent, dataset);
I get the following error:
Field: dataset.dataset_metadata; Message: Required field not set
According to this user manual I should set Dataset Metadata Type, but the list contains only specific types of classifications (Translation/ImageClassifications etc.), I can't find a simple classification type.
How do I create a simple classification data set with the API ? in the AutoML UI its just with a simple button click ("NEW DATASET") - and have to provide only name & region - no classification type.
I also tried to set:
dataset.TextClassificationDatasetMetadata =
new TextClassificationDatasetMetadata() { ClassificationType = ClassificationType.Multiclass };
But I was unable to import data to it (got too many errors of invalid inputs from the input CSV file), I guess its related to the reason that the input format is not suitable for Text Classification.
UPDATE
I've just notice that the Nuget works with AutoML v1 but v1 beta does contains TablesDatasetMetadata Dataset Metadata Type for normal classifications. I'm speechless.
I also experienced this scenario today while creating a dataset using the NodeJS client. Since the Google AutoML table service is in the beta level you need to use the beta version of the AutoML client. In the Google cloud documentation they have used the beta client to create a dataset.
In NodeJS importing the beta version require('#google-cloud/automl').v1beta1.AutoMlClient instead of importing the normal version (v1) require('#google-cloud/automl').v1 worked for me to successfully execute the create dataset functionality.
In C# you can achieve the same through a POST request. Hope this helps :)
After #RajithaWarusavitarana comment, and my last question update , below is the code that did the trick. The token is being generated by GoogleClientAPI nuget and AutoML is handled by REST.
string GcpGlobalEndPointUrl = "https://automl.googleapis.com";
string GcpGlobalLocation = "us-central1"; // api "parent" parameter
public string GetToken(string jsonFilePath)
{
var serviceAccountCredentialFileContents = System.IO.File.ReadAllText(jsonFilePath);
var credentialParameters = NewtonsoftJsonSerializer.Instance.Deserialize<JsonCredentialParameters>(serviceAccountCredentialFileContents);
var initializer = new ServiceAccountCredential.Initializer(credentialParameters.ClientEmail)
{
Scopes = new List<string> { "https://www.googleapis.com/auth/cloud-platform" }
};
var cred = new ServiceAccountCredential(initializer.FromPrivateKey(credentialParameters.PrivateKey));
string accessToken = cred.GetAccessTokenForRequestAsync("https://oauth2.googleapis.com/token").Result;
return accessToken;
}
public void GetDataSetList(string projectId, string token)
{
var restClient = new RestClient(GcpGlobalEndPointUrl);
var createDataSetReqUrl = $"v1beta1/projects/{projectId}/locations/{GcpGlobalLocation}/datasets";
var createDataSetReq = new RestRequest(createDataSetReqUrl, Method.GET);
createDataSetReq.AddHeader("Authorization", $"Bearer {token}");
var createDatasetResponse = restClient.Execute(createDataSetReq);
createDatasetResponse.Dump();
}
I took the token generation code from google-api-dotnet-client Test File
I am new to Google APIs. I want to know how to call Google Dialogflow API in C# to get intent form the input text. But I can't find any example to call Dialogflow using C#.
Please provide some example to call Dialogflow from C#.
If I understand your question correctly you want to call the DialogFlow API from within a C# application (rather than writing fulfillment endpoint(s) that are called from DialogFlow. If that's the case here's a sample for making that call:
using Google.Cloud.Dialogflow.V2;
...
...
var query = new QueryInput
{
Text = new TextInput
{
Text = "Something you want to ask a DF agent",
LanguageCode = "en-us"
}
};
var sessionId = "SomeUniqueId";
var agent = "MyAgentName";
var creds = GoogleCredential.FromJson("{ json google credentials file)");
var channel = new Grpc.Core.Channel(SessionsClient.DefaultEndpoint.Host,
creds.ToChannelCredentials());
var client = SessionsClient.Create(channel);
var dialogFlow = client.DetectIntent(
new SessionName(agent, sessionId),
query
);
channel.ShutdownAsync();
In an earlier version of the DialogFlowAPI I was running into file locking issues when trying to re-deploy a web api project which the channel.ShutDownAsync() seemed to solve. I think this has been fixed in a recent release.
This is the simplest version of a DF request I've used. There is a more complicated version that passes in an input context in this post:
Making DialogFlow v2 DetectIntent Calls w/ C# (including input context)
(Nitpicking: I assume you know DialogFlow will call your code as specified/registered in the action at DialogFlow? So your code can only respond to DialogFlow, and not call it.)
Short answer/redirect:
Don't use Google.Apis.Dialogflow.v2 (with GoogleCloudDialogflowV2WebhookRequest and GoogleCloudDialogflowV2WebhookResponse) but use Google.Cloud.Dialogflow.v2 (with WebhookRequest and WebhookResponse) - see this eTag-error. I will also mention some other alternatives underneath.
Google.Cloud.Dialogflow.v2
Using Google.Cloud.Dialogflow.v2 NuGet (Edit: FWIW: this code was written for the beta-preview):
[HttpPost]
public dynamic PostWithCloudResponse([FromBody] WebhookRequest dialogflowRequest)
{
var intentName = dialogflowRequest.QueryResult.Intent.DisplayName;
var actualQuestion = dialogflowRequest.QueryResult.QueryText;
var testAnswer = $"Dialogflow Request for intent '{intentName}' and question '{actualQuestion}'";
var dialogflowResponse = new WebhookResponse
{
FulfillmentText = testAnswer,
FulfillmentMessages =
{ new Intent.Types.Message
{ SimpleResponses = new Intent.Types.Message.Types.SimpleResponses
{ SimpleResponses_ =
{ new Intent.Types.Message.Types.SimpleResponse
{
DisplayText = testAnswer,
TextToSpeech = testAnswer,
//Ssml = $"<speak>{testAnswer}</speak>"
}
}
}
}
}
};
var jsonResponse = dialogflowResponse.ToString();
return new ContentResult { Content = jsonResponse, ContentType = "application/json" }; ;
}
Edit: It turns out that the model binding may not bind all properties from the 'ProtoBuf-json' correctly (e.g. WebhookRequest.outputContexts[N].parameters),
so one should probably use the Google.Protobuf.JsonParser (e.g. see this documentation).
This parser may trip over unknown fields, so one probably also wants to ignore that. So now I use this code (I may one day make the generic method more generic and thus useful, by making HttpContext.Request.InputStream a parameter):
public ActionResult PostWithCloudResponse()
{
var dialogflowRequest = ParseProtobufRequest<WebhookRequest>();
...
var jsonResponse = dialogflowResponse.ToString();
return new ContentResult { Content = jsonResponse, ContentType = "application/json" }; ;
}
private T ParseProtobufRequest<T>() where T : Google.Protobuf.IMessage, new()
{
// parse ProtoBuf (not 'normal' json) with unknown fields, else it may not bind ProtoBuf correctly
// https://github.com/googleapis/google-cloud-dotnet/issues/2425 "ask the Protobuf code to parse the result"
string requestBody;
using (var reader = new StreamReader(HttpContext.Request.InputStream))
{
requestBody = reader.ReadToEnd();
}
var parser = new Google.Protobuf.JsonParser(JsonParser.Settings.Default.WithIgnoreUnknownFields(true));
var typedRequest = parser.Parse<T>(requestBody);
return typedRequest;
}
BTW: This 'ProtoBuf-json' is also the reason to use WebhookResponse.ToString() which in turn uses Google.Protobuf.JsonFormatter.ToDiagnosticString.
Microsoft's BotBuilder
Microsoft's BotBuilder packages and Visual Studio template.
I havent't used it yet, but expect approximately the same code?
Hand written proprietary code
A simple example of incoming request code (called an NLU-Response by Google) is provided by Madoka Chiyoda (Chomado) at Github. The incoming call is simply parsed to her DialogFlowResponseModel:
public static async Task<HttpResponseMessage> Run([...]HttpRequestMessage req, [...]CloudBlockBlob mp3Out, TraceWriter log)
...
var data = await req.Content.ReadAsAsync<Models.DialogFlowResponseModel>();
Gactions
If you plan to work without DialogFlow later on, please note that the interface for Gactions differs significantly from the interface with DialogFlow.
The json-parameters and return-values have some overlap, but nothing gaining you any programming time (probably loosing some time by starting 'over').
However, starting with DialogFlow may gain you some quick dialog-experience (e.g. question & answer design/prototyping).
And the DialogFlow-API does have a NuGet package, where the Gactions-interface does not have a NuGet-package just yet.
I tried to get the Tag value by using:
var vSAD = sel.VirtualSourceAxisDistance.Data;
I also tried var vSAD = dcm.FindAll("300A030A");
And it only returned one number (suppose to have 2).
Then I tried to read elements and save to another dicom file only and found for VR=FL, VM=2 case only one number showed up in the new file.
How can I fix this to get 2 numbers?
Does it mean when I use var dcm = DICOMFileReader.Read(openFileDialog1.FileName);
It already return with only one number?
I saw in the FloatingPiontSingle.cs file:
public class FloatingPointSingle : AbstractElement<float?>
{
public FloatingPointSingle() { }
public FloatingPointSingle(Tag tag, float? data)
{
Tag = tag;
Data = data;
VR = Enums.VR.FloatingPointSingle;
}
}
I didn't realize the FL VM could be more than one. I just looked at the DICOM specification though and realize that it is possible. It is actually an easy fix. Could you post a link to a sample (anonymized) DICOM file that contains such a value and I will patch the core framework.
FYI: To patch yourself, you would need to change the FloatingPointSingle to:
public class FloatingPointSingle : AbstractElement<float[]>
{
public FloatingPointSingle() { }
public FloatingPointSingle(Tag tag, float[] data)
{
Tag = tag;
Data = data;
VR = Enums.VR.FloatingPointSingle;
}
}
Then in the LittleEndianReader.ReadSinglePrecision(), and BigEndianReader.ReadSinglePrecision() method you will need to change out the logic to allow concatenated floating point numbers (no delimiter).
I have a facebook fanpage and I am trying to make a desktop application which can create events through this fanpage, however I'm having trouble understanding how the story goes with acces tokens, id, user permissions... If I am not mistaken once I have the accesstoken I can create an event using the facebookSDK from codeplex and the following function:
public string CreateEvent(string accessToken)
{
FacebookClient facebookClient = new FacebookClient(accessToken);
Dictionary<string, object> createEventParameters = new Dictionary<string, object>();
createEventParameters.Add("name", "My birthday party )");
createEventParameters.Add("start_time", DateTime.Now.AddDays(2).ToUniversalTime().ToString());
createEventParameters.Add("end_time", DateTime.Now.AddDays(2).AddHours(4).ToUniversalTime().ToString());
createEventParameters.Add("owner", "Balaji Birajdar");
createEventParameters.Add("description", " ( a long description can be used here..)");
//Add the "venue" details
JsonObject venueParameters = new JsonObject();
venueParameters.Add("street", "dggdfgg");
venueParameters.Add("city", "gdfgf");
venueParameters.Add("state", "gfgdfgfg");
venueParameters.Add("zip", "gfdgdfg");
venueParameters.Add("country", "gfdgfg");
venueParameters.Add("latitude", "100.0");
venueParameters.Add("longitude", "100.0");
createEventParameters.Add("venue", venueParameters);
createEventParameters.Add("privacy", "OPEN");
createEventParameters.Add("location", "fhdhdfghgh");
Add the event logo image
FacebookMediaObject logo = new FacebookMediaObject()
{
ContentType = "image/jpeg",
FileName = #"C:\logo.jpg"
};
logo.SetValue(File.ReadAllBytes(logo.FileName));
createEventParameters["#file.jpg"] = logo;
JsonObject resul = facebookClient.Post("/me/events", createEventParameters) as JsonObject;
return resul["id"].ToString();
}
Do I always need an application to do this?
I have a test application and I can get an access token from it using:
public string getToken(string strURL)
{
string strURL = "https://graph.facebook.com/oauth/access_token?client_id=149585851811979&client_secret=blablablablabalalbal&grant_type=client_credentials";
Uri Uri = new Uri(strURL);
HttpWebRequest request = (HttpWebRequest)HttpWebRequest.Create(Uri);
HttpWebResponse HWResponse = (HttpWebResponse)request.GetResponse();
StreamReader sr = new StreamReader(HWResponse.GetResponseStream());
string token = sr.ReadToEnd();
sr.Close();
token = token.Replace("access_token=", "");
return token;
}
I tried it like this but it obviously didn't work.
So my questions:
Do I always need an application? If yes, how do i connect it to my existing fan page?
Where do I set my user permissions? And how do I then login with the user?
I just think the documentation is a bit vague :s Sorry if my questions are stupid.
Any help/pseudocode is appreciated!
I am using BatchFB to create events in an App Engine app, it works for me, here is the code
// Some Date math that is from my App, but I am using Joda DateTime for output
// formatting.. I have found that if the start_time is malformed by FB standards it will
// to create an event, and give you an eventid, but the event never really gets created.
long hour = { your data }
DateTime start_time = new DateTime(d).plusHours((int)hour);
String stime = start_time.toString(ISODateTimeFormat.dateTime());
Batcher batcher = new FacebookBatcher(token);
Later<NewFeedItem> event = batcher.post(
"/events", NewFeedItem.class,
new Param("name", edata.getStringProperty(EventData.Schema.Name)),
new Param("start_time", stime )
);
long eventid = event.get().id;
I generate token on the client side with FBJS, and pass it to the server.
NewFeedItem is just a class defining an long variable, see batchFB's site..
With that said, I am thinking of switching to RestFB because I can't get BatchFB to support binary parameters with trying to post images. Also RestFB is documented better.. They seem to be related projects and refer to each other often.
I am not adding in Venue data yet, but I have read that for the GraphAPI to work, they need to be top level parameters. i.e. add in street, city, state at the same level as location and privacy..
When you try to read the event it will come in the venue parameter, but it needs to be top level when creating.. Also fallback to just using name and start_time, the only required parameters and add to that once it's working.
-John Gentilin