On fhir.epic.com I see a lot of different information you can add to a "patient chart". For example like allergy intolerances and conditions. Through the Create route you can add such info onto the patient's chart. However, is there a way where developers can add a custom create route. So, for example, I know a patients daily protein intake, but because the API doesn't have a protein.create I can't add it to the patient chart. Is there a work around for this?
No. The whole point of the interface is to use standard resources. Epic must map the data to their existing data. If implementers passed in custom data structures, there'd be no way for Epic to map that to their standard data structures.
The specific element you mentioned would typically be captured using Observation.
Is there a way for us to define the policies of a GraphQL API, which is both machine-readable and human-readable, which contains a set of rules (in other words, a specification) to describe the format of the API? I'm not talking about the schema, but of a spec where we can add security-related details (for example, complexity value to be assigned per field and depth limitation values) or any other related details. Any thoughts or ideas? Or can we send all of this within the SDL itself?
For example, for REST APIs, we use Swagger to define information on how to define paths, parameters, responses, models, security and more. Is there a need for a similar approach for GraphQL APIs? Your response is highly appreciated
We are working in an approach to add policies to your GraphQL API and allow you to better manage it, especially as you expose the interface externally.
Part of the challenge is that as opposed to a REST call that can easily be differentiated from others, all GraphQL requests look the same, unless a deeper analysis is performed on the incoming query.
This blog post describes how we perform this analysis: https://www.ibm.com/blogs/research/2019/02/graphql-api-management/
if this is of interest let's connect!
As per my understanding you need a tool to make documentation for the APIs you have build for parameters and so on.
If that's what you are searching, there is like swagger for GraphQL - Swagger-to-GraphQL
Hope that helps.!!
This question is very similar to my question, however due to the way SO works, I think it is better to ask a new question rather than just continue a thread.
CoreNLP has the Simple API which allows for quicker access to various components of the NLP pipeline. The way to get named entities appears to be:
Form a document annotation from the text
Get the sentences from the document object
Use nerTags() from the sentences object to get the token-by-token ner labeling.
Via other mechanisms, as talked about in the question link above, one can retrieve full multi-token entity mentions such as George Washington, which is an entity mention composed of 2 tokens. Is there a way using the simple api to get these multi-token entity mentions?
Yes, though it gives you less information than the full API, returning only the String spans of the mention. See Sentence#mentions(String) and Sentence#mentions().
If you want to get more information about a mention, you'll have to either use the regular API, or re-implement the logic in these functions. You can also try mucking around in the raw Proto, which will certainly have all the information you could possibly want, but in a less-than-pleasant proto interface. The proto definition is here.
In the past, I have setup two separate AWS lambdas written in Java. One for use with Alexa and one for use with Api.ai. They simply return "Hello world" to each assitant api. So although they are simple they work. As I started writing more and more code for each one, I started to see how similar my java code was and I was just repeating myself by having two separate lambdas.
Fast forward to today.
What I'm working on now is having a single AWS lambda that can handle input from both Alexa and Api.ai but I'm having some trouble. Currently, my thought is that when the lambda is run, there would be a simple if statement like so:
The following is not real code, just what I think I can do in my head
if (figureOutIfInputType.equals("alexa")){
runAlexaCode();
} else if (figureOutIfInputType.equals("api.ai")){
runApiAiCode();
}
The thing is now I need to somehow tell if the function is being called by an alexa or api.ai.
This is my actual java right now:
public class App implements RequestHandler<Object, String> {
#Override
public String handleRequest(Object input, Context context) {
System.out.println("myLog: " + input.toString());
return "Hello from AWS";
}
I then ran the lambda from Alexa and Api.ai to see what Object input would get generated in java.
API.ai
{id=asdf-6801-4a9b-a7cd-asdffdsa, timestamp=2017-07-
28T02:21:15.337Z, lang=en, result={source=agent, resolvedQuery=hi how
are you, action=, actionIncomplete=false, parameters={}, contexts=[],
metadata={intentId=asdf-3a2a-49b6-8a45-97e97243b1d7,
webhookUsed=true, webhookForSlotFillingUsed=false,
webhookResponseTime=182, intentName=myIntent}, fulfillment=
{messages=[{type=0, speech=I have failed}]}, score=1}, status=
{code=200, errorType=success}, sessionId=asdf-a7ac-43c8-8ae8-
bc1bf5ecaad0}
Alexa
{version=1.0, session={new=true, sessionId=amzn1.echo-api.session.asdf-
7e03-4c35-9d98-d416eefc5b23, application=
{applicationId=amzn1.ask.skill.asdf-a02e-4938-a747-109ea09539aa}, user=
{userId=amzn1.ask.account.asdf}}, context={AudioPlayer=
{playerActivity=IDLE}, System={application=
{applicationId=amzn1.ask.skill.07c854eb-a02e-4938-a747-109ea09539aa},
user={userId=amzn1.ask.account.asdf}, device=
{deviceId=amzn1.ask.device.asdf, supportedInterfaces={AudioPlayer={}}},
apiEndpoint=https://api.amazonalexa.com}}, request={type=IntentRequest,
requestId=amzn1.echo-api.request.asdf-5de5-4930-8f04-9acf2130e6b8,
timestamp=2017-07-28T05:07:30Z, locale=en-US, intent=
{name=HelloWorldIntent, confirmationStatus=NONE}}}
So now I have both my Alexa and Api.ai output, and they're different. So that's good. I'll be able to tell which one is which. but I'm stuck. I'm not really sure if I should try to create an AlexaInput object and an ApiAIinput object.
Am I doing this all wrong? Am I wrong with trying to have one lambda fulfill my "assistant" requests from more than one service (Alexa and ApiAI)?
Any help would be appreciated. Surely, someone else must be writing their assistant functionality in AWS and wants to reuse their code for both "assistant" platforms.
I had the same question and same thought, but as I got further and further in implementing, I realized that it wasn't quite practical for one big reason:
While a lot of my logic needed to be the same - the format of the results was different. Sometimes, even the details or formatting of the results would be different.
What I did was go back to some concepts that were familiar in web programming by dividing it into two parts:
A back-end system that was responsible for taking parameters and applying the business logic to produce results. These results would be fairly low-level, not entire phrases, but more a set of keys/value pairs that indicated what kind of result to give and what values would be needed in that result.
A front-end system that was responsible for handling things that were Alexa/Assistant specific. So it would take the request, extract parameters and state, call the back-end system with this information, get a result back which included what kind of reply to send and the values needed, and then format the exact phrase (and any other supporting info, such as a card or whatever) and put it into a properly formatted response.
The front-end components would be a different lambda function for each agent type, mostly to make the logic a little cleaner. The back-end components can either be a library function or another lambda function, whatever makes the most sense for the task, but is independent of the front-end implementation.
I suppose one could also this by having an abstract parent class that implements the back-end logic, and having the front-end logic be subclasses of this. I wouldn't do it this way because it doesn't provide as clear an interface boundary between the two, but its not unreasonable.
You can achieve the result (code reuse) a different way.
Firstly, create a method for each type of event (Alexa, API Gateway, etc) using the aws-lambda-java-events library. Some information here:
http://docs.aws.amazon.com/lambda/latest/dg/java-programming-model-handler-types.html
Each entry point method should deal with the semantics of the event triggering it (API Gateway) and call into common code to give you code reuse.
Secondly, upload your JAR/ZIP to an S3 bucket.
Thirdly, for each event you want to handle - create a Lambda function, referencing the same ZIP/JAR in the S3 bucket and specifying the relevant entry point.
This way, you'll get code reuse without having to juggle multiple copies of the code on AWS, albeit at the cost of having multiple Lambdas defined.
There's a great tool that supports working this way called Serverless Framework which I'd highly recommend looking at:
https://serverless.com/framework/docs/providers/aws/
I've been using a single Lambda to handle Alexa ASK and Microsoft Luis.ai responses. I'm using Python instead of Java but the idea is the same and I believe that using an AlexaInput and ApiAIinput object, both extending the same interface should be the way to go.
I first use the context information to identify where the request is coming from and parse it into the appropriate object (I use a simple nested dictionary). Then pass this to my main processing function and finally, pass the output to a formatter again based on the context. The formatter will be aware of what you need to return. The only caveat is that handling session information; which in my case I serialize to my own DynamoDB table anyway.
How are supported types added such as a golf course type?
Explore the list of Supported Place Types to determine if the supported type you need exists. In this case ("golf_course"), there is not an existing type that may be used.
Explore the Places API Issue List to learn whether there are any existing enhancement requests that will perform creation of the new Places Type.
In this case, there is. The existing Issue 4197 requests a new "golf_course" supported type.
If you like, vote on the existing issue to raise its priority on the list of all Google Maps JavaScript API enhancments.