I am trying to use HTTP Post to post the data by passing following Header and Body part,
Body:
One image URL having file path. Type as 'File'
Metadata in JSON format. Type as 'Text'
Headers:
Content-type = multipart/form-data
Authorization = Bearer 5412
Here is the screenshot of complete request,
This is how I have setup the HTTP Post task in Pentaho,
I found related post here using REST Client but this also didn't help: Pentaho HTTP Post using JSON
Really appreciate your help.
I think the problem is that "Post a file" doesn't mean include a file in the request, but rather to get the entire request from that file.
I don't know the specifics of how the data should look in the Post request, but the rough approach should be:
Pass the filename field to a Calculator step with the operation "Load file content to binary" to get a binary type field (ex: myimage)
Base64 (or other) encode the data with a Javascript step like this:
var encString = new Packages.java.lang.String( Packages.org.apache.commons.codec.binary.Base64.encodeBase64( myimage ) );
Wrap it in some content-type string indicating the encoding
Include the field in your request.
There is a patch on https://jira.pentaho.com/browse/PDI-14743 to enable proper binary transfer instead of String when using Rest Client.
Related
I am always getting JSON response for my HTTP request to access one ORDS-Oracle Rest Data Services API:
http://localhost:8080/ords/hr/employees/
However my requirement is to get XML response. I tried to choose XML from drop down list available at POSTMAN, however content is not changing to XML.
I need a way to specify parameter as part of HTTP URL so that response is XML than JSON and I tried to change URL like below:
Way1:
http://localhost:8080/ords/hr/employees?format=xml
Way2:
http://abcdef.us.oracle.com:8001/claims-ws/api/generic/lineofbusinesses/421?Content-Type:application/xml
Way3:
http://abcdfef.us.oracle.com:8001/claims-ws/api/generic/lineofbusinesses/421?Accept:application/xml
Way4:
http://abcdef.us.oracle.com:8001/claims-ws/api/generic/lineofbusinesses/421?Accept=application/xml
However nothing is working and response is always JSON.
Any suggestion?
I am trying to make an API call to Microsoft's form recognizer to analyze a form against a custom model and I can't figure out how to do it.
Here is the documentation on the API
https://westus2.dev.cognitive.microsoft.com/docs/services/form-recognizer-api/operations/AnalyzeWithCustomModel
The request body is blank and I don't really know how that ought to be formatted in order to be sent off.
If you look at the POST Train model method, I was able to use that request body to send make that api call work. This indicates that the problem is me and not the API.
I have successfully done this with curl through command line...
curl -X POST "https://formrecognizerbp.cognitiveservices.azure.com/formrecognizer/v1.0-preview/custom/models/[MODEL ID]/analyze" -H "Content-Type: multipart/form-data" -F "form=#\"C:\Temp\Capture1.jpg\";type=image/jpeg" -H "Ocp-Apim-Subscription-Key: [SUBSCRIPTION ID]"
I don't really know/can't figure out how to convert that into a request body similar in format to what the POST Train Model method has.
I keep getting this error because I don't know how to format the request properly.
Internal : Unexpected error Error during Web API HTTP Request
HTTP Status Code: 400
HTTP Response Content: {"value":{"error":{"code":"BadRequest","message":"Could not process incoming request: 'Missing content-type boundary.'. Please ensure that it is well-formed."}},"formatters":[],"contentTypes":[],"statusCode":400}
So I guess formatters and contentTypes are the missing pieces but would that just be the file path and the image/jpeg parts of the curl ?
The /trainCustomModel API expects the data to be present on the Azure Blob storage. The request body to this request needs to contain a valid SAS URL to the training data. Once you successfully create a custom trained model ID, you could use that to analyze the forms. The /AnalyzeWithCustomModel API expects the data to be on your local file storage. Please ensure that you have the replaced the ModelId, API Subscription Key (Note this is not the same as subscription ID) and the local path to the image correctly.
The issue was that I did not realize that the curl script was overwritting the multipart/form-data Content-Type with image/jpeg and when I was trying to build out this call differently I was forcing a multipart/form-data Content-Type on what was a jpeg.
I am writing rest api with Flask. One of my endpoints handles a post request. One field of the request JSON 'audio' is supposed to contain the BASE64 encoded PCM file (audio format). If save this field to a file, it is about 200KB.
It might be too big to copy and paste in Swagger or Postman for testing. Even worse with curl command. Is there any good way to test with really big JSON in the request.
I'd recommend a great tool called Insomnia. You can send point it to any file to send it as a HTTP request. You can change the Content-Type header to be application/json and select your JSON data file. Here's a screenshot of what the program looks like.
I have a heap of data in format JSON(Serialized object).
I send this data to server by POST method with header: Content-Type: application/json.
Is it possible to attach file to body request and send at once. Or JSON data sugggests sending only text data?
In this context, the content-type header aims to describe the type of data in the request body.
If you use application/json the server will expect a JSON body.
If your goal is to send a single request with a JSON object and a file, you can either encode the file in the JSON structure (Probably base64. See: Binary Data in JSON String. Something better than Base64)
{
...
file: "encoded_content",
...
}
Or you can use the content type multipart/form-data.
A multipart is a part containing other part.
The first subpart may be the JSON strucuture. The second one may be the file
Try to send the file inside the json object as a base64 string:
{
"file":"dGhpcyBpcyBhIGZpbGUgc2FtcGxl..."
}
Later you can open the file with something like:
document.location = 'data:application/pdf;base64,' + file
I'm trying Jmeter tool for load testing where i'm feeding the data through a csv file which has all the emails and passwords for login request. But while passing the parameter, Jmeter is encoding '#' sign with '%40' and if i put %40 in place of # in my csv, its not getting decoded to # in Jmeter. For other special characters, the encoding and decoding is happening properly. Please help.
It should be totally expected.
If you're logging in via GET request %40 is correct way of encoding # symbol.
If you're sending a POST request, JMeter should automatically send # symbol (at least my JMeter 2.10 does)
You might wish to try one of following:
Add View Results Tree listener, switch to HTTP tab and see what's actually being sent.
Make sure that Encode? box is unchecked for email parameter
Explicitly tell JMeter to decode email via __urldecode() function
Use a Beanshell Pre Processor to properly encode/decode your email
import java.net.URLDecoder;
import java.net.URLEncoder;
String email = "someone#example.com";
String encoded = URLEncoder.encode(email, "UTF-8");
String decoded = URLDecoder.decode(encoded, "UTF-8");
This is coming when we do via Parameters,
If we do using "Body Data" that would work fine.
I used this way.
{"password":"${password}","emailId":"${emailId}"}
For the HTTP Request, Change the Client implementation to Java
Select the Advanced tab from the HTTP Request
In Client Implementation > Choose Java in Implementation