I'm writing an Alexa Skill, and I can only get single word parameters into my code.
Here is the intent schema:
{
"intents": [
{
"intent": "HeroQuizIntent",
"slots": [
{
"name": "SearchTerm",
"type": "SEARCH_TERMS"
}
]
},
{
"intent": "HeroAnswerIntent",
"slots": [
{
"name": "SearchTerm",
"type": "SEARCH_TERMS"
}
]
},
{
"intent": "AMAZON.HelpIntent"
}
]
}
and my sample utterances are:
HeroQuizIntent quiz me
HeroAnswerIntent is it {SearchTerm}
For the HeroAnswerIntent, I'm checking the SearchTerm slot, and I'm only getting single words in there.
So, "Peter Parker" gives "Parker", "Steve Rogers" gives "Rogers", and "Tony Stark" gives "Stark".
How do I accept multiple words into a slot?
I've had same problem with my skill and that's the only solution which is worked for my skill to use several words, but you need to check are these slots not empty and concatenate them
Intent schema:
{
"intent": "HeroAnswerIntent",
"slots": [
{
"name": "SearchTermFirst",
"type": "SEARCH_TERMS"
},
{
"name": "SearchTermSecond",
"type": "SEARCH_TERMS"
},
{
"name": "SearchTermThird",
"type": "SEARCH_TERMS"
}
]
},
Sample utterance
HeroAnswerIntent is it {SearchTermFirst}
HeroAnswerIntent is it {SearchTermFirst} {SearchTermSecond}
HeroAnswerIntent is it {SearchTermFirst} {SearchTermSecond} {SearchTermThird}
And last one you need to put every of your words in separate line in SEARCH_TERMS slot definition
Also using AMAZON.LITERAL sometimes not pass variable into skill at all even if you test it using service simulator (skill console, test tab)
The solution #Xanxir mentioned works equivalently with the newer custom slots format. In this case, you'd just put multiple length examples in your custom list of values for your slot type.
I had to change the Slot type to AMAZON.LITERAL.
The trick was that in the sample utterances, I also had to provide multiple utterances to demonstrate the minimum and maximum sizes of literals that Alexa should interpret. It's wonky, but works.
Here's the reference for it: https://developer.amazon.com/public/solutions/alexa/alexa-skills-kit/docs/alexa-skills-kit-interaction-model-reference
AMAZON.SearchQuery
So you can use this in your utterances, and it will detect all words that the user speaks in between, Its rather accurate
It will solve your problem.
Ref Link: Alexa SearcQuery
Related
I'm having trouble creating a Solr query to be able to pull out the right documents, and am starting to wonder if what I am trying to do is even possible.
Currently on Solr 8.9 using a managed schema and every field is using a wildcard field.
Firstly what the document looks like
(changed names due to redacting internal business language):
{
"id": "COUNTY:1",
"county_name_s": "Hertfordshire",
"coordinates_s": {
"id": "COUNTY:1COORDINATES:!",
"lat_s": "54.238948",
"long_s": "54.238948"
},
"cities": [
{
"id": "COUNTY:1CITY:1",
"city_name_s": "St Albans",
"size": {
"id": "COUNTY:1CITY:1SIZE:1",
"sq_ft_s": "100",
"sq_meters_s": "5879"
}
},
{
"id": "COUNTY:1CITY:2",
"city_name_s": "Watford",
"size": {
"id": "COUNTY:1CITY:2SIZE:2",
"sq_ft_s": "150",
"sq_meters_s": "10000"
}
}
],
"mayor": {
"title_s": "Mrs.",
"first_name_s": "Sheila",
"last_name_s": "Smith"
}
}
And what I want to return:
{
"id": "COUNTY:1",
"county_name_s": "Hertfordshire",
"coordinates": {
"id": "COUNTY:1COORDINATES:!",
"lat_s": "54.238948",
"long_s": "54.238948"
},
"cities": [
{
"id": "COUNTY:1CITY:1",
"city_name_s": "St Albans",
"size": {
"id": "COUNTY:1CITY:1SIZE:1",
"sq_ft_s": "100",
"sq_meters_s": "5879"
}
}
],
"mayor": {
"title_s": "Mrs.",
"first_name_s": "Sheila",
"last_name_s": "Smith"
}
}
Basically my goal is to return more or less the entire thing, however with filtering out one of the cities. For example, the condition for the city would be like city_name_s:"St Albans". So it's to say that I want the parent and all children, however if the child is in that array (ie cities array), then the given field (city_name_s) must equal my defined value, or we don't want that child.
Things I've tried:
I've basically tried two approaches here:
I've tried to play around with {!child} and {!parent} to get a result that I want. Currently I can only get something from City level or the entire thing as if the filter was not there at county level.
I've tried to change values for the childFilter option, with things like:
city_name_s:"St Albans" OR (*:* NOT city_name_s:[* TO *]) to try and say 'if field exists it should be this'.
Anyhow I'm starting to run out of ideas with this; been hacking away at it for the past couple of days and not really got any closer.
Thanks in advance for any help; bashing my head against the wall currently so any suggestions are more than welcome :)
I had a similar issue in solr 9.0.0 and this solved it for me: Apache Solr Filter on Child Documents
In your case, just add fl=*,[child childFilter=city_name_s:"St Albans"]
I'm building an ARM(Azure Resource Manager) template to create multiple resources of the same type. Let's say metric alerts for SQL servers. I have:
3 severity levels: [1, 2, 3]
20 servers with names [sqlserver_1, sqlserver_2, ...]
3 metrics to monitor [memory, cpu load, number of connections]
Essentially, I need a total of 180 resources. Is there any way how I can build and with all possible combinations of these variables. I.e. for each of the servers, I need to monitor 3 metrics where each could trigger 3 possible alerts levels depending on the metric levels.
Naturally, I thought about a Cartesian product of these arrays and then a copy loop over it to fill the template attributes. However, it doesn't look like ARM supports this.
Is it the point where instead of using ARM I should think about writing a code-generator to create a template instead of trying to bend ARM json?
Regarding the issue, you can add the copy element to the resources section of your template. After doing that, you can dynamically set the number of resources to deploy. For more details, please refer to here and here.
For example
{
"$schema": "https://schema.management.azure.com/schemas/2015-01-01/deploymentTemplate.json#",
"contentVersion": "1.0.0.0",
"parameters": {
"org": {
"type": "array",
"defaultValue": [
"contoso",
"fabrikam",
"coho"
]
}
},
"resources": [
{
"apiVersion": "2017-06-01",
"type": "Microsoft.Storage/storageAccounts",
"name": "[concat(parameters('org')[copyIndex()], uniqueString(resourceGroup().id))]",
"location": "[resourceGroup().location]",
"sku": {
"name": "Standard_LRS"
},
"kind": "Storage",
"properties": {},
"copy": {
"name": "storagecopy",
"count": "[length(parameters('org'))]"
}
}
],
"outputs": {}
}
I am new to Azure cognitive search. I have a docx file which is stored in azure blob storage.I am using #Microsoft.Skills.Text.SplitSkill to split the document into multiple pages(chunks).But when I index the output of this skill,I am getting the entire docx file content.how do I return the "pages" from the SplitSkill so that the user sees the portion of the original document that was found by their search instead of returning entire document?
Please assist me.Thank you in advance.
The split skill allows you to split text into smaller chunks/pages that can be then processed by additional cognitive skills.
Here is what a minimalistic skillset that does splitting and translation may look like:
"skillset": [
{
"#odata.type": "#Microsoft.Skills.Text.SplitSkill",
"textSplitMode": "pages",
"maximumPageLength": 1000,
"defaultLanguageCode": "en",
"inputs": [
{
"name": "text",
"source": "/document/content"
},
{
"name": "languageCode",
"source": "/document/language"
}
],
"outputs": [
{
"name": "textItems",
"targetName": "mypages"
}
]
},
{
"#odata.type": "#Microsoft.Skills.Text.TranslationSkill",
"name": "#2",
"description": null,
"context": "/document/mypages/*",
"defaultFromLanguageCode": null,
"defaultToLanguageCode": "es",
"suggestedFrom": "en",
"inputs": [
{
"name": "text",
"source": "/document/mypages/*"
}
],
"outputs": [
{
"name": "translatedText",
"targetName": "translated_text"
}
]
}
]
Note that the split skill generated a collection of text elements under the "\document\mypages" node in the enriched tree. Also not that by providing the context "\document\mypages*" to the translation skill, we are telling the translation skill to perform translation on "each page".
I should point out that documents will still be indexed at the document level though. Skillsets are not really built to "change the cardinality of the index". That said, a workaround for that may be to project each of the pages as separate elements into a knowledge store, and then create a separate index that is actually focused on indexing each page.
Learn more about the knowledge store projections here:
https://learn.microsoft.com/en-us/azure/search/knowledge-store-concept-intro
AMAZON.LITERAL is deprecated as of October 22, 2018. Older skills built with AMAZON.LITERAL.
What is the alternative to AMAZON.LITERAL, I want each and every word spoken by user from Alexa device in my endpoint API.
I have created custom slots, but my endpoint is not called everytime.
Anyone have solution to this?
You will not get the entire user input through any inbuilt slots or intents. The closest one to your requirement that I can think of is AMAZON.SearchQuery.
AMAZON.SearchQuery
AMAZON.SearchQuery is a phrase-type slot that lets you capture less-predictable input that makes up the search query. You can use phrase slots when you cannot predict all possible values the user might say, or when there may not be an identifiable pattern that can be captured by a custom slot. The intended use of this slot is to capture short messages, comments, search queries, and other short free-form text, not the entire user spoken utterance.
Ex:
{
"intents": [
{
"name": "SearchIntent",
"slots": [
{
"name": "Query",
"type": "AMAZON.SearchQuery"
},
{
"name": "CityList",
"type": "AMAZON.US_CITY"
}
],
"samples": [
"search for {Query} near me",
"find out {Query}",
"search for {Query}",
"give me details about {CityList}"
]
}
]
}
You cannot add sample intent utterances consisting of only phrase type slots.
That means, you cannot give something like this:
{
"name": "QueryIntent",
"slots": [
{
"name": "query",
"type": "AMAZON.SearchQuery"
}
],
"samples": [
"{query}" // utterance with only phrase-type slot
]
}
More on AMAZON.SearchQuery here
Alexa will always will fire a POST request to your skill's endpoint with a payload whenever there is a user interaction.
Below I have environment file and recipe can you explain I am not getting what is the list here.
{
"json_class": "Chef::Environment",
"description": "prod environment",
"default_attributes": {
},
"chef_type": "environment",
"override_attributes": {
"user": {
"mapr": {
"id": "application",
"group": "application",
},
"local" : {
"id": "chef",
"group": "chef"
},
"ldap" : {
"id": "ldap",
"sudo": true,
},
}
"name": "prod"
}
Below is the recipe what is the list here i did not get
node['user_create'].each do |list, user|
group user['group'] do
group_name user['group']
gid user['gid']
action [:create]
ignore_failure true
end
user user do
username user['id']
uid user['uid']
group user['gid']
home user['home']
manage_home true
end
if list !='ldap'
How list is passing here in if condition
You are not actually passing in any attributes via the environment, which you can see because the values of default_attributes and override_attributes are both just empty hashes { }. The data you've included there is just ignored by Chef as noise. In the future I recommend you use the Ruby DSL for environment files as it has more error checking for things like this (though not perfect error checking).
As an aside, you've been asking a lot of questions on here and seem to be struggling with Chef. Please consider joining the Chef community Slack team and asking there instead as it's a full chat system and thus the community could offer real-time help rather than here random blurbs.