![]() em = self.push_data(em, name, item)įile "/opt/virtualenvs/python3/lib/python3.8/site-packages/xmltodict.py", line 157, in push_data And I anycodings_discord.py want it to reply with an embed.īut when I run it, it shows this error: Ignoring exception in on_messageįile "/opt/virtualenvs/python3/lib/python3.8/site-packages/discord/client.py", line 343, in _run_eventįile "/opt/virtualenvs/python3/lib/python3.8/site-packages/wolframalpha/_init_.py", line 127, in queryĭoc = xmltodict.parse(resp, postprocessor=Document.makeĭoc = xmltodict.parse(resp, postprocessor=Document.make)įile "/opt/virtualenvs/python3/lib/python3.8/site-packages/xmltodict.py", line 325, in parseįile "./Modules/pyexpat.c", line 461, in EndElementįile "/opt/virtualenvs/python3/lib/python3.8/site-packages/xmltodict.py", line 141, in endElement For anycodings_discord.py example w, how many inches in a foot?. It is intended to respond to discord anycodings_discord.py messages of the form w, question. Question = msg.contentĮm = discord.Embed(title=str(msg.author), description = next(res.results).text) Print(f"Logged in as def on_message(msg): I am anycodings_discord.py using the wolframalpha module in python and anycodings_discord.py this is my code: import discord For a working code-example, please see Github.So I'm making a discord bot that uses the anycodings_discord.py wolfram alpha api to answer questions. Println("No answer to question: $question") val FAILED_RESPONSES = listOf("No spoken result available", "Wolfram Alpha did not understand your input") We add two known error strings to a list and checks if the returned response matches, in which case we reply with a custom error message. Error handlingįinally, we want to catch some of the error messages that Wolfram Alpha returns if they can't parse the question or can't answer it. Once it executes, it will terminate the state (including the called anonymous sub-state) providing a hard-coded error message. The onTime, that currently uses the TIMEOUT constant set to 4 seconds, makes sure we don't get stuck here if the API stops responding. Once we get a result, we return it to the caller state through the terminate call. Note that here as-well, you explicitly have to cast the result of the state to a String. ![]() ![]() This is needed since otherwise the API-call would block any other event from happening which would cause the system to be unresponsive until a response is received. We start of like this: val Start : State = state(Interaction) to allow our timeout ( onTime(TIMEOUT)) to stop the call if it takes to long. Thus, we catch a "naked" onResponse where we will do the API call. we will not use any natural language processing to preprocess the input to try to determine if it is a question or not. In this tutorial we will let Wolfram Alpha handle any speech response we get, i.e. Then, we want to catch the response we get, with special handlers for Yes and No intents. To start off our skill, once the interaction has started we simply want to greet the user and ask if he/she has a question for us. Thus, we can focus on the active part of the interaction, starting with the Start state. Interaction triggersĪs walked through in the previous tutorial, the skill template contains boilerplate handlers for interaction triggers based on users entering and leaving the robot's interaction space. #Wolframalpha api downloadNote: Note that you can, if you prefer, instead download and import the complete skill from Github. Creating and importing the skill into your IDEįollow the same principles as in the previous tutorial to create and import the skill into IntelliJ IDEA. These cases need to be handled in a special way. The answer might in some cases be that no result is available or that Wolfram Alpha didn't understand the input. The API is simple - for each question you ask it you get an answer. This is an API that provides answers to a large range of questions, mostly of mathematical/scientific art. You can really hook up any kind of API you like, but to showcase a common use-case, we will integrate Wolfram Alpha's Spoken Answers API. In this tutorial, we want to walk you through the process of calling an external API from your skill. #Wolframalpha api fullIf you want to jump ahead to a working full code-example, please see WolframAlpha on Github. #Wolframalpha api how toIn this tutorial, you will learn how to build a basic interactive skill connecting to an external API - Wolfram Alpha's spoken response API. Tutorial: A skill utilizing an external API Introduction ![]() Getting access to the Wolfram Alpha API.Creating and importing the skill into your IDE. ![]()
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