Is it possible to export the diagram for a Social Tables event through the API (in PDF or an image format)?
We do not provide a public API endpoint to export a diagram at this time, but we are considering providing one in the future.
If you're planning a large-scale integration, we would love to take your use case into account when we do release one; you may want to introduce the topic as part of a sales or support conversation for maximum expedience.
Related
I am planning to build a similar chatbot built by Microsoft team for a super mall in china (https://microsoft.github.io/techcasestudies/bot%20framework/2017/06/21/CaaP-SuperBrandMall.html), I have below requirement :I am using visual studio 5 for Bot Framework.
I want to get the details of different clothes available in the store
I want to fetch the data from Azure SQL ( Already have data in csv format)
I want to connect LUIS too
Integration with Skype
I have the following queries:
Which type of dialog is used here? Can I do it with only FormFlow dialog?
Integration of Bot framework with Azure SQL( Mainly fetching the details of location of clothes for particular ocassion,gender,brand in mall)
What modification is required in Model folder in bot framework?
Integration of LUIS
Please help me with this if anybody can suggest/add.
Thanks in advance.
Which type of dialog is used here? Can I do it with only FormFlow dialog?
FormFlow suits for handling and managing a guided conversation, based upon the specified guidelines (or collecting information from the user).
Based on your scenario and requirements, your bot would have more complex logic, integrate with LUIS service (recognize user intent and then do different operations based on what user said) and perform database etc, I recommend using dialogs to manage conversation flow, which would be more flexible.
Integration of LUIS and Integration of Bot framework with Azure SQL
In your bot application, you can create&use LuisDialog to integrate with a LUIS.ai application easily, which could help detect what a user wants to do by identifying their intent, and then you can get the matching entities from LuisResult within intent handler method in LuisDialog.
After you know user intent and the matching entities, you can call different methods or child dialogs to do different business logic or operate database to get location, stores or products etc details.
Note:
LUIS Bot Sample
Best practices of building LUIS app
I need some guidance on how to support having access to digital assets and being able to transfer those between other user on the hyperledger via composer?
I suggest you launch the online Playground:
https://composer-playground.mybluemix.net
From there you can import a range of sample (using the Import/Replace button) that illustrate how to code asset transfer. E.g. Marbles, Car Auction or Animal Tracking.
To quote from the tag information (https://stackoverflow.com/tags/hyperledger-composer/info)
Hyperledger Composer provides a layer of abstraction on top of the Hyperledger Fabric blockchain. Developers can design in terms of business networks, participants, identity, assets, registries, transactions, events and links, in contrast to the low level abstractions of chaincode and key-value stores.
So if you wish to do something with a digital asset, say an MP3, you need to create a model - similar to an entity-relationship model or an ObjectOriented hierachy. With that you can then define the operations on it.
An actual asset maybe the MP3 wouldn't necessarily be stored - but would be linked to. Composer then handles how this is put onto the underlying fabric - to give your applications the quality of service of Fabric's blockchain but without the requirement to write chain-code etc.
Hope that puts Composer into context, if you need more please include a broader description of your use case/problem you're solving.
Kindly, can anyone differentiate between System api and Process api?
Please provide answer in Generic terms, as i am unable to find on internet.
A system api abstracts from an existing system. It talks to the system in the language of the system (e.g. SOAP, direct Java calls, SAP calls, etc.). To the outside world it offers a clean API (usually REST with http and json). When you do a good job implementing your system api, you can exchange your existing system with a different/new one without changing the api of your system api to the outside world: Just implement a new system api with different adapter logic.
A process api should talk REST on "both ends". It calls one or several system apis to do its job. The process api orchestrates different jobs.
When you need more information, do a search with "api led connectivity"
A System API is a layer you build on top of a system, which handles all system specific connection quirks and settings. It then exposes these resources and it's logic in a standard format (usualy REST but you're free to choose something else like SOAP) to the rest of your API's. Like Roger Butenuth states:
"When you do a good job implementing your system api, you can exchange
your existing system with a different/new one without changing the api
of your system api to the outside world: Just implement a new system
api with different adapter logic."
A process API is where you keep your logic and orchestration, it does not 'talk' to end systems directly but instead connects to system API's to get it's data.
A process API should idealy only talk REST on both sides and can aggegrate data from multiple systems.
An example of a complex process API would be an "items you've ordered" API which takes in a user id as it's input, then talks to the system API of a CRM system to get the id used by the "order history system API".
However this API might only return a list of orders without any article information besides an article id. So our Process API then enriches this list with Article information fetched from "article information system API" with the id from the list.
I know it's out of the scope of the question, but for the sake of completeness i'l shortly explain the third variant as well:
An Experience API can be seen as a doorway into your API network, every (type of) client has different information needs and can communicate in different protocols.
It is the Experience API's responsibility to provide ALL the information required by a client in a format they support.
This takes the responsibility away from a client to know where the information needs to be fetched from.
(Customer info from CRM, Order info from proprietary sys one, Article info from article DB)
This concept of design has as a bonus that if when for example, the mobile app your company is making, gets some new functionality which requires extra data.
You can update the "mobille app experience api", which would leave your "superexpensive IBM Experience api" unchanged. Cutting down on development costs as you don't need to implement any changes in your other api consumers which would be the case had you had only one api.
I think the main difference is where you are implementing business process and rules/logics.
System API, within the scope of your design, are atomic APIs which will be used to construct higher level API (experience APIs). Process API is the orchestration layer where you can use Mulesoft flows to implement business process or logic.
System APIs do the heavy lifting work of CRUD operations.
Process APIs focus on business logic
System API's are underlying all IT designs are center frameworks of records that are regularly not promptly accessible because of its many-sided quality and network concerns. APIs give a method for concealing that many-sided quality from the client while uncovering information and giving downstream protection from any interface changes or legitimization of those frameworks.
Process APIs exemplify the fundamental business forms that cooperate with source and target frameworks or channels through an arrangement of framework APIs. For instance, in a buy arrange process, there is some rationale that is regular crosswise over items, geologies and retail channels that can and ought to be refined into a solitary administration that would then be able to be called.
And you will get some more clarity from this article https://dzone.com/articles/api-the-backbone-of-the-software-industry-know-how
System API and Process API will be part of API led connectivity.
System API is like awrapper service to either a main data base or saas platform
Process API involves application logic to validate search or query parameters
We're working with Cumulocity and we'd like to offer services to our customers that are not currently possible to implement with Cumulocity. As an example, we'd like to be able to retrieve a list of devices located within x kilometers of a given point.
Currently there are two limitations that prevent us from doing so:
the impossibility of extending the Cumulocity API with custom route/parameters
the impossibility of implementing custom functions for specific API GET calls
I can think of a workaround to achieve this, like a POST request of an event that would be processed by an Esper rule, generating another event/measurement that could then be accessed by a GET. But I think we can agree this is not a suitable mechanism.
Please not that the use case I described above is just an example. Our needs don't limit to this and we need a standardized way to expand our services without requirering updates on Cumulocity side.
There are two topics here, I believe:
Geo-querying: Some geographical querying and aggregation use cases can be handled through CEL. A general geo-querying API is on the Cumulocity roadmap. Note: This use case is not only related to extending the API, as such queries go right down into the database.
Extending the API: That is actually possible. Cumulocity has a microservices API in which you can expose other APIs under the URL /services/.... This is, for example, how connectivity platforms are interfaced. The API is not on the web site because it's not GA yet, but you can certainly discuss it with your Cumulocity contact or open a ticket. This btw includes also adding permissions for the new microservices, so that you can do proper A&A.
Long time ago, I took and passed the Google Analytics IQ certification test. At the time, I don't believe there were such things as Core Reporting API, Management API, and Metadata API (and probably some other Google Analytics related API's that I don't know about). Now that I am going through the Google Analytics IQ certification training course again (provided by Google, presented by Justin Curtoni?? I believe that's his name), I found that they now have Core Reporting API, Management API, and Metadata API.
I am a computer programmer by trade; so, I have no problem with programming using these API's. However, what I don't understand is, what do these API's buy me that the Google Analytics UI cannot offer? There is no reason to write a program that utilizes these API's simply because I can do it. To me, the existing Google Analytics UI has a lot of tools, reports, and other features that quite extensive. I am hoping that some of you can help me see something that I am probably missing.
The APIs are primarily for programmatic access. For example, if you need to create 1000 accounts all with the same property/view structure and then maybe add a few view filters to each of those accounts, you'll probably want to use the Management API. Doing that by hand would be a nightmare.
The same thing is true for the reporting API. Maybe you want to set up task that runs every monday morning and reports on the previous weeks data. And maybe you want to display that data on an internal dashboard for your company using some fancy charting library. You'd have to use the API to get the data.
Dashboards (executive summaries; managers often want nice visualizations instead of boring drill-downs)
Custom reports for user groups that do not have a Google Account or are not supposed to have access to full reports (e.g. Affiliates)
advanced filtering and aggregation (GA report cannot do everything)
You can combine analytics data with external data (e.g. you are not allowed to store personally identifiable information within GA; but you might store a custom key that allows you to link analytics data to customer data from you CRM or fulfillment system)
Machine-to-machine communication; I once did tracking for an airline that needed trend data on what people where searching for and what they where actually booking; that data was used to allocate/withdraw resources from busy/lame flights, and part of this was done by hooking up GA to their backend system
Take a look at the GA Partner Page. I would say the primary reason is to "liberate" GA Data from outside of GA itself. As Eike mentions, you can create dashboards and combine this data with other sources for a complete "View" of your online presence.
HI I guess there is no definite answer. Here are some things you can do with the APIs:
Automating AdWords CRO based on keyword ad and campaign performance.
Scoring leads based on Analytics data (Engagement with different items) and external data from a CRM.
Collecting unsampled data using multiple daily queries
Filtering using several dimension.
Tracking conversions for periods longer than supported by AdWords.
Looking at a funnel via segments
Analyzing funnels with non-linear structures
Create more robust alerts
Export data to BigQuery and analyse it together with data from other systems.
Create Machine learning apps for behavioural customizing your site.
Create a dashboard with data from multiple views
Use product recommendation to implements "better together" in an online store.
Automate creation of accounts and properties + their integration in a Hosting provider's console.
Cheers!!