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Nested JSON file save SQL Server as one record.
How to design hierarchy model in one table?
{
"SSAAResponse": {
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Before Civil Rights laws, public schools in the South admitted only white studentsشاه"
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"Declaration": "programs delivering customized professional development. A former master teacher, she has been in education for more than 25 years and works with administrators and teachers in groups of varying sizes from kindergarten through high school. She is the author of Complex Text Decoded: ",
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(social) context has been limited mostly to sociolinguistics (Ammon, 2005) and
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However, like normally-achieving readers, children with reading disabilities do benefit from encouragement to use context as an aid to comprehension. This kind of context use can occur when children are listening to text as well as when they are reading. For instance, in reading stories to children, teachers can encourage the use of sentence context or pictures to determine the meanings of unfamiliar words by modeling this process aloud: "Hmmm, what can I do if I am not sure what the word pale means? Well, the sentence says that D. W. put baby powder on her face to look pale, so I can think about what baby powder looks like…" Because youngsters with reading disabilities usually have listening comprehension that far outstrips their reading skills, oral comprehension activities often are the best ways to challenge and develop their comprehension abilities.",
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{
"Description": "phonics skills to decode occasional unknown words rapidly.",
"Clause": 0,
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"Description": "systems" to read words. Skilled readers do not need to rely on pictures or sentence context in word identification, because they can read most words automatically",
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},
{
"Description": "increasingly accurate and automatic word identification skills, ",
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{
"Description": "Scientific evidence strongly demonstrates that the development of skilled reading involves",
"Clause": 0,
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"Description": "When children encounter an unfamiliar word in reading, they may make use of context cues, that is, information from pictures or from sentences surrounding the unknown word.",
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},
{
"Description": "monitor their reading to see if it was accurate",
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{
"Description": "select the information that they need to focus on",
"Clause": 0,
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},
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"Description": "Unfortunately for many students, choosing effective strategies does not come automatically. Often, students who have difficulty reading simply browse or skim through texts without a specific strategy in mind because they don’t have a clear reason for reading. ",
"Clause": 0,
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},
{
"Description": "For example, a situation that involves understanding and recalling details requires a different set of strategies from a situation where the reader is seeking specific information but memorization is not necessary.",
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"Description": "Contexts of reading are all the elements that influence how we read in different situations. The context includes: 1) the setting, 2) the text, and 3) the purpose for reading. There are two main types of reading contexts. In leisure contexts we choose to read for our own interest, pleasure or entertainment..",
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"Description": "i am a teacher",
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I designed like below image:
below design is true?
USE [NFC]
GO
/****** Object: Table [dbo].[tbl_NFCInquiryStructure] Script Date: 2021-09-04 09:42:32 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[tbl_NFCInquiryStructure](
[ID] [int] IDENTITY(1,1) NOT NULL,
[NodeName] [nvarchar](500) NULL,
[ParentId] [int] NULL,
[IsValue] [bit] NULL
) ON [PRIMARY]
GO
It shows table design that I guess that's right. Contains the parent field.
Is true?
I want to implement this hierarchical file in a table.
Help me please
I am trying to access the 'title' from the following list but it keeps throwing error.
var moviesDB = {
"genres": [
"Comedy",
"Fantasy",
"Crime",
"Drama",
"Music",
"Adventure",
"History",
"Thriller",
"Animation",
"Family",
"Mystery",
"Biography",
"Action",
"Film-Noir",
"Romance",
"Sci-Fi",
"War",
"Western",
"Horror",
"Musical",
"Sport"
],
"movies": [
{
"id": 1,
"title": "Beetlejuice",
"year": "1988",
"runtime": "92",
"genres": ["Comedy", "Fantasy"],
"director": "Tim Burton",
"actors": "Alec Baldwin, Geena Davis, Annie McEnroe, Maurice Page",
"plot":
"A couple of recently deceased ghosts contract the services of a \"bio-exorcist\" in order to remove the obnoxious new owners of their house.",
"posterUrl":
"https://images-na.ssl-images-amazon.com/images/M/MV5BMTUwODE3MDE0MV5BMl5BanBnXkFtZTgwNTk1MjI4MzE#._V1_SX300.jpg"
},
{
"id": 2,
"title": "The Cotton Club",
"year": "1984",
"runtime": "127",
"genres": ["Crime", "Drama", "Music"],
"director": "Francis Ford Coppola",
"actors": "Richard Gere, Gregory Hines, Diane Lane, Lonette McKee",
"plot":
"The Cotton Club was a famous night club in Harlem. The story follows the people that visited the club, those that ran it, and is peppered with the Jazz music that made it so famous.",
"posterUrl":
"https://images-na.ssl-images-amazon.com/images/M/MV5BMTU5ODAyNzA4OV5BMl5BanBnXkFtZTcwNzYwNTIzNA##._V1_SX300.jpg"
},
]
}
I can go as far as moviesDB["movies"][0] but cannot get the title property.
Although I can do the same in Javascript and it works with no errors.
console.log(moviesDB["movies"][0]["title"]);
Any solution for this?
You need to make a cast on the element of your movie list.
print((moviesDB['movies'][0] as Map<String, dynamic>)['title']);
I have a csv file with thousands of restaurant names and addresses that I need to sort by rating (data that is not in the csv). Is there a way to fill in the csv with this data? Possibly with Google Places API or Yelp Fusion API?
Both the Google Places API and Yelp Fusion API let you obtain a restaurant’s rating if you query with the business name and address. I’m going to explain how to do this but, first a caution about compliance. What you describe is clearly against the terms of service for both APIs. The only permitted use of their data is to display it on a publicly available website or app. Fetching and retaining it in a csv file is clearly improper. The APIs are intended for real-time query and immediate display of results for your users.
Google requires that the Places data be displayed in conjunction with a Google map or an approved "powered by Google" image. Additionally, no "pre-fetching, caching, or storage of content" is permitted. For details see https://developers.google.com/places/web-service/policies
Yelp requires attribution, basically requiring you to display the star rating and the Yelp logo with a link back to the business page on Yelp for the restaurant you have queried. See https://www.yelp.com/developers/display_requirements Furthermore, you can’t “cache, record, pre-fetch, or otherwise store any portion of the Yelp Content for a period longer than twenty-four (24) hours from receipt of the Yelp Content, or attempt or provide a means to execute any scraping or "bulk download" operations.” For full text and terms see https://www.yelp.com/developers/api_terms
With the legalese out of the way, here’s how to request a restaurant’s rating from Google Places:
https://maps.googleapis.com/maps/api/place/findplacefromtext/json?input=Applebees,234 W 42nd St,New York,NY&inputtype=textquery&fields=formatted_address,name,rating&key=YOUR_API_KEY
And, the JSON response:
{
"candidates": [
{
"formatted_address": "234 W 42nd St, New York, NY 10036, USA",
"name": "Applebee's Grill + Bar",
"rating": 3.6
}
],
"status": "OK"
}
Here is the same request for Yelp Fusion. There is no way to request just the rating. Results always contain everything in their database for the restaurant:
https://api.yelp.com/v3/businesses/search?term=applebees&location=234 W 42nd St,New York,NY&limit=1
JSON response:
{
"businesses": [
{
"id": "gytFjzBw-z5LZD-6JSMChg",
"alias": "applebees-grill-bar-new-york-3",
"name": "Applebee's Grill + Bar",
"image_url": "https://s3-media1.fl.yelpcdn.com/bphoto/CLizyj9S7pMvwGNm2dgdiQ/o.jpg",
"is_closed": false,
"url": "https://www.yelp.com/biz/applebees-grill-bar-new-york-3?adjust_creative=pnOv3Zj2REsNDMU4Z3-SLg&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=pnOv3Zj2REsNDMU4Z3-SLg",
"review_count": 444,
"categories": [
{
"alias": "tradamerican",
"title": "American (Traditional)"
},
{
"alias": "burgers",
"title": "Burgers"
},
{
"alias": "sportsbars",
"title": "Sports Bars"
}
],
"rating": 2,
"coordinates": {
"latitude": 40.756442,
"longitude": -73.988838
},
"transactions": [
"delivery",
"pickup"
],
"price": "$$",
"location": {
"address1": "234 W 42nd St",
"address2": "",
"address3": "",
"city": "New York",
"zip_code": "10036",
"country": "US",
"state": "NY",
"display_address": [
"234 W 42nd St",
"New York, NY 10036"
]
},
"phone": "+12123917414",
"display_phone": "(212) 391-7414",
"distance": 5.938732504864397
}
],
"total": 2900,
"region": {
"center": {
"longitude": -73.98880004882812,
"latitude": 40.75648701137637
}
}
}
My goal is to write an API search of Wikipedia that will:
Return pages only in the category "English language films"
Of those, return pages only beginning with the letters "Avatar" (or anything, really, just using those letters for an example)
Of those, give me the url, the title, the date, a summary, and the main page image.
So far I've tried three things, none of which seem to be able to do exactly what I want.
PROBLEM: list=allpages is just generally useless
Here's a search with list=allpages:
https://en.wikipedia.org/w/api.php?action=query&format=json&prop=info%7Cpageimages%7Cextracts&list=allpages&inprop=url%7Cdisplaytitle&piprop=name%7Cthumbnail%7Coriginal&pithumbsize=100&exintro=1&explaintext=1&apprefix=Avatar&aplimit=3
Here's the result (just the first 3 pages):
{
"batchcomplete": "",
"continue": {
"apcontinue": "Avatar,_The_Last_Airbender",
"continue": "-||info|pageimages|extracts"
},
"query": {
"allpages": [
{
"pageid": 100368,
"ns": 0,
"title": "Avatar"
},
{
"pageid": 4846971,
"ns": 0,
"title": "Avatar's Abode"
},
{
"pageid": 35243953,
"ns": 0,
"title": "Avatar, Iran"
}
]
}
}
As you can see, it basically ignored all my prop requests.
PROBLEM: generator=allpages can't search by category
Here's a search using generator-allpages:
https://en.wikipedia.org/w/api.php?action=query&format=json&prop=info%7Cpageimages%7Cextracts&generator=allpages&inprop=url%7Cdisplaytitle&piprop=name%7Cthumbnail%7Coriginal&pithumbsize=100&exintro=1&explaintext=1&gapprefix=Avatar
Here's the output from that (just the first result):
{
"batchcomplete": "",
"continue": {
"gapcontinue": "Avatar's_Abode",
"continue": "gapcontinue||"
},
"query": {
"pages": {
"100368": {
"pageid": 100368,
"ns": 0,
"title": "Avatar",
"contentmodel": "wikitext",
"pagelanguage": "en",
"pagelanguagehtmlcode": "en",
"pagelanguagedir": "ltr",
"touched": "2018-05-03T11:21:07Z",
"lastrevid": 838959509,
"length": 45784,
"fullurl": "https://en.wikipedia.org/wiki/Avatar",
"editurl": "https://en.wikipedia.org/w/index.php?title=Avatar&action=edit",
"canonicalurl": "https://en.wikipedia.org/wiki/Avatar",
"displaytitle": "Avatar",
"thumbnail": {
"source": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a0/Avatars.jpg/80px-Avatars.jpg",
"width": 80,
"height": 100
},
"original": {
"source": "https://upload.wikimedia.org/wikipedia/commons/a/a0/Avatars.jpg",
"width": 357,
"height": 448
},
"pageimage": "Avatars.jpg",
"extract": "An avatar (Sanskrit: \u0905\u0935\u0924\u093e\u0930, IAST: avat\u0101ra), a concept in Hinduism that means \"descent\", refers to the material appearance or incarnation of a deity on earth. The relative verb to \"alight, to make one's appearance\" is sometimes used to refer to any guru or revered human being.\nThe word avatar does not appear in the Vedic literature, but appears in verb forms in post-Vedic literature, and as a noun particularly in the Puranic literature after the 6th century CE. Despite that, the concept of an avatar is compatible with the content of the Vedic literature like the Upanishads as it is symbolic imagery of the Saguna Brahman concept in the philosophy of Hinduism. The Rigveda describes Indra as endowed with a mysterious power of assuming any form at will. The Bhagavad Gita expounds the doctrine of Avatara but with terms other than avatar.\nTheologically, the term is most often associated with the Hindu god Vishnu, though the idea has been applied to other deities. Varying lists of avatars of Vishnu appear in Hindu scriptures, including the ten Dashavatara of the Garuda Purana and the twenty-two avatars in the Bhagavata Purana, though the latter adds that the incarnations of Vishnu are innumerable. The avatars of Vishnu are important in Vaishnavism theology. In the goddess-based Shaktism tradition of Hinduism, avatars of the Devi in different appearances such as Tripura Sundari, Durga and Kali are commonly found. While avatars of other deities such as Ganesha and Shiva are also mentioned in medieval Hindu texts, this is minor and occasional. The incarnation doctrine is one of the important differences between Vaishnavism and Shaivism traditions of Hinduism.\nIncarnation concepts similar to avatar are also found in Buddhism, Christianity and others. The scriptures of Sikhism include the names of numerous Hindu gods and goddesses, but it rejected the doctrine of savior incarnation and endorsed the view of Hindu Bhakti movement saints such as Namdev that formless eternal god is within the human heart and man is his own savior."
}
}
}
}
...and it's so close to perfect that I can't believe it... the only problem is there's no way to restrict the search to the category "English-language films".
PROBLEM: generator=categorymember won't show page images and doesn't filter by prefix, only sets start point by prefix
Here's a search using generator=categorymember:
https://en.wikipedia.org/w/api.php?action=query&format=json&prop=pageimages&generator=categorymembers&piprop=name%7Cthumbnail%7Coriginal&pithumbsize=100&gcmtitle=Category%3AEnglish-language%20films&gcmprop=&gcmtype=page&gcmlimit=10&gcmstartsortkeyprefix=Avatar
Here's the first ten results (I've left the prop=extract and prop=info parameters off--they're working fine--so you can see just the relevant detail):
{
"batchcomplete": "",
"continue": {
"gcmcontinue": "page|2953314335314b4d04354b394141011201dcbedc08|47013432",
"continue": "gcmcontinue||"
},
"query": {
"pages": {
"4273140": {
"pageid": 4273140,
"ns": 0,
"title": "Avatar (2009 film)"
},
"15945267": {
"pageid": 15945267,
"ns": 0,
"title": "Avatar (2004 film)"
},
"25813358": {
"pageid": 25813358,
"ns": 0,
"title": "Avatar 2"
},
"27442998": {
"pageid": 27442998,
"ns": 0,
"title": "Avatar 3"
},
"50071841": {
"pageid": 50071841,
"ns": 0,
"title": "Ave Maria (1918 film)"
},
"41748079": {
"pageid": 41748079,
"ns": 0,
"title": "Avenged (2013 U.S. film)"
},
"42739169": {
"pageid": 42739169,
"ns": 0,
"title": "Avenger (film)"
},
"50726142": {
"pageid": 50726142,
"ns": 0,
"title": "The Avenger (1931 film)"
},
"43707905": {
"pageid": 43707905,
"ns": 0,
"title": "The Avengers (1950 film)"
},
"22114132": {
"pageid": 22114132,
"ns": 0,
"title": "The Avengers (2012 film)"
}
}
}
}
And as you can see:
The pageimages data is nowhere to be seen
The setting gcmstartsortkeyprefix=Avatar only sets the point from which the listing starts, it doesn't actually filter out results that don't have that prefix. There's no analogue to the gapprefix parameter that's available when using generator-allpages.
PROBLEM: list=search won't show any prop values and searches by content as well as title
Here's a search using list=search, an avenue of approach I'm grateful to this page for:
https://en.wikipedia.org/w/api.php?action=query&format=jsonfm&prop=info%7Cpageimages%7Cextracts&list=search&inprop=url%7Cdisplaytitle&piprop=name%7Cthumbnail%7Coriginal&pithumbsize=100&exintro=1&explaintext=1&srsearch=Avatar+incategory:English-language_films&srlimit=3
And here's the return (just the first 3 results):
{
"batchcomplete": "",
"continue": {
"sroffset": 3,
"continue": "-||info|pageimages|extracts"
},
"query": {
"searchinfo": {
"totalhits": 224
},
"search": [
{
"ns": 0,
"title": "Avatar (2009 film)",
"pageid": 4273140,
"size": 201954,
"wordcount": 18643,
"snippet": "<span class=\"searchmatch\">Avatar</span>, marketed as James Cameron's <span class=\"searchmatch\">Avatar</span>, is a 2009 American epic science fiction film directed, written, produced, and co-edited by James Cameron, and",
"timestamp": "2018-05-01T01:52:00Z"
},
{
"ns": 0,
"title": "Avatar 2",
"pageid": 25813358,
"size": 55754,
"wordcount": 5380,
"snippet": "<span class=\"searchmatch\">Avatar</span> 2 is an upcoming American epic science fiction film directed, produced, and co-written by James Cameron, and the first of four planned sequels to",
"timestamp": "2018-05-02T10:02:34Z"
},
{
"ns": 0,
"title": "Avatar 3",
"pageid": 27442998,
"size": 17747,
"wordcount": 1374,
"snippet": "<span class=\"searchmatch\">Avatar</span> 3 is an upcoming 2021 American epic science fiction film directed, produced, co-written, and co-edited by James Cameron, scheduled to be released",
"timestamp": "2018-05-02T10:02:45Z"
}
]
}
}
Now this search does define prop=info and prop=images and prop=extracts, but they're nowhere to be seen. Plus there's also no analogue to gapprefix with this approach.
PROBLEM: generator=search won't show pageimages and searches by content as well as title
Here's the same search as above, but using generator=search:
https://en.wikipedia.org/w/api.php?action=query&format=jsonfm&prop=info%7Cpageimages%7Cextracts&generator=search&inprop=url%7Cdisplaytitle&piprop=name%7Cthumbnail%7Coriginal&pithumbsize=100&exintro=1&explaintext=1&gsrsearch=Avatar+incategory:English-language_films&gsrlimit=3
And here's the result:
{
"batchcomplete": "",
"continue": {
"gsroffset": 3,
"continue": "gsroffset||"
},
"query": {
"pages": {
"4273140": {
"pageid": 4273140,
"ns": 0,
"title": "Avatar (2009 film)",
"index": 1,
"contentmodel": "wikitext",
"pagelanguage": "en",
"pagelanguagehtmlcode": "en",
"pagelanguagedir": "ltr",
"touched": "2018-05-01T01:52:00Z",
"lastrevid": 839068297,
"length": 201954,
"fullurl": "https://en.wikipedia.org/wiki/Avatar_(2009_film)",
"editurl": "https://en.wikipedia.org/w/index.php?title=Avatar_(2009_film)&action=edit",
"canonicalurl": "https://en.wikipedia.org/wiki/Avatar_(2009_film)",
"displaytitle": "<i>Avatar</i> (2009 film)",
"extract": "Avatar, marketed as James Cameron's Avatar, is a 2009 American epic science fiction film directed, written, produced, and co-edited by James Cameron, and starring Sam Worthington, Zoe Saldana, Stephen Lang, Michelle Rodriguez, and Sigourney Weaver. The film is set in the mid-22nd century, when humans are colonizing Pandora, a lush habitable moon of a gas giant in the Alpha Centauri star system, in order to mine the mineral unobtanium, a room-temperature superconductor. The expansion of the mining colony threatens the continued existence of a local tribe of Na'vi \u2013 a humanoid species indigenous to Pandora. The film's title refers to a genetically engineered Na'vi body with the mind of a remotely located human that is used to interact with the natives of Pandora.\nDevelopment of Avatar began in 1994, when Cameron wrote an 80-page treatment for the film. Filming was supposed to take place after the completion of Cameron's 1997 film Titanic, for a planned release in 1999, but, according to Cameron, the necessary technology was not yet available to achieve his vision of the film. Work on the language of the film's extraterrestrial beings began in 2005, and Cameron began developing the screenplay and fictional universe in early 2006. Avatar was officially budgeted at $237 million. Other estimates put the cost between $280 million and $310 million for production and at $150 million for promotion. The film made extensive use of new motion capture filming techniques, and was released for traditional viewing, 3D viewing (using the RealD 3D, Dolby 3D, XpanD 3D, and IMAX 3D formats), and for \"4D\" experiences in select South Korean theaters. The stereoscopic filmmaking was touted as a breakthrough in cinematic technology.\nAvatar premiered in London on December 10, 2009, and was internationally released on December 16 and in the United States and Canada on December 18, to positive critical reviews, with critics highly praising its groundbreaking visual effects. During its theatrical run, the film broke several box office records and became the highest-grossing film of all time, as well as in the United States and Canada, surpassing Cameron's Titanic, which had held those records for twelve years. It also became the first film to gross more than $2 billion and the best-selling film of 2010 in the United States. Avatar was nominated for nine Academy Awards, including Best Picture and Best Director, and won three, for Best Art Direction, Best Cinematography and Best Visual Effects. Following the film's success, Cameron signed with 20th Century Fox to produce four sequels: Avatar 2 and Avatar 3 are currently filming, and will be released on December 18, 2020, and December 17, 2021 respectively; subsequent sequels will start shooting as soon as they wrap filming, and will be released in 2024 and 2025. Several cast members are expected to return, including Worthington, Saldana, Lang, and Weaver."
},
"25813358": {
"pageid": 25813358,
"ns": 0,
"title": "Avatar 2",
"index": 2,
"contentmodel": "wikitext",
"pagelanguage": "en",
"pagelanguagehtmlcode": "en",
"pagelanguagedir": "ltr",
"touched": "2018-05-02T10:02:34Z",
"lastrevid": 839266311,
"length": 55754,
"fullurl": "https://en.wikipedia.org/wiki/Avatar_2",
"editurl": "https://en.wikipedia.org/w/index.php?title=Avatar_2&action=edit",
"canonicalurl": "https://en.wikipedia.org/wiki/Avatar_2",
"displaytitle": "<i>Avatar 2</i>",
"extract": "Avatar 2 is an upcoming American epic science fiction film directed, produced, and co-written by James Cameron, and the first of four planned sequels to his film Avatar (2009). Cameron is producing the film with Jon Landau, with Josh Friedman originally announced as his co-writer; it was later announced that Cameron, Friedman, Rick Jaffa, Amanda Silver, and Shane Salerno took a part in the writing process of all sequels before being attributed separate scripts, making the eventual writing credits unclear. Cast members Sam Worthington, Zoe Saldana, Stephen Lang, Sigourney Weaver, Giovanni Ribisi, Joel David Moore, Dileep Rao, C. C. H. Pounder, and Matt Gerald are all expected to return.\nCameron, who had stated in 2006 that he would like to make sequels to Avatar if it were successful, announced the first two in 2010 following the widespread success of the first film, with Avatar 2 aiming for a 2014 release. However, the subsequent addition of two more sequels, and the necessity to develop new technology in order to film performance capture scenes underwater, a feature never accomplished before in motion capture history, led to significant delays to allow the crew more time to work on the writing, pre-production, and visual effects; it is currently planned for a release on December 18, 2020, exactly eleven years after the American release of the first film, with the following sequels to be released between 2021 and 2025.\nPreliminary shooting for the film started in Manhattan Beach, California on August 15, 2017, followed by principal photography simultaneously with Avatar 3 in New Zealand on September 25, 2017. The other sequels are expected to start shooting as soon as Avatar 2 and 3's filming wraps."
},
"27442998": {
"pageid": 27442998,
"ns": 0,
"title": "Avatar 3",
"index": 3,
"contentmodel": "wikitext",
"pagelanguage": "en",
"pagelanguagehtmlcode": "en",
"pagelanguagedir": "ltr",
"touched": "2018-05-02T10:02:45Z",
"lastrevid": 839266333,
"length": 17747,
"fullurl": "https://en.wikipedia.org/wiki/Avatar_3",
"editurl": "https://en.wikipedia.org/w/index.php?title=Avatar_3&action=edit",
"canonicalurl": "https://en.wikipedia.org/wiki/Avatar_3",
"displaytitle": "<i>Avatar 3</i>",
"extract": "Avatar 3 is an upcoming 2021 American epic science fiction film directed, produced, co-written, and co-edited by James Cameron, scheduled to be released on December 17, 2021. It is the second of four planned sequels to his film Avatar (2009), and will be a follow-up to Avatar 2 (2020). Cameron is producing the film with Jon Landau, with Rick Jaffa and Amanda Silver originally announced as his co-writers; it was later announced that Cameron, Jaffa, Silver, Josh Friedman and Shane Salerno took a part in the writing process of all of the sequels before being assigned to finish the separate scripts, making the eventual writing credits unclear. Cast members Sam Worthington, Zoe Saldana, Stephen Lang, Sigourney Weaver, Joel David Moore, CCH Pounder and Matt Gerald are all expected to return from the first two films.\nAvatar 3 started shooting simultaneously with Avatar 2 on August 15, 2017. Two additional sequels will start shooting as soon as the first two wrap post-production, and are expected to be released in 2024 and 2025 respectively."
}
}
}
}
...and again this one is so close to perfect, because in this version it does return the prop=info and prop=extracts results, but again it ignores prop=pageimages and I can't find any way to restrict the search to the starting letters of the titles.
Conclusion: SNAFU
...Is there any 'one search to rule them all' here? It's so tantalizing that I can almost, almost, almost get everything with one query, but in the end I can't figure out how to get 'em all. Can anyone help me through the thicket?
On a high level, list modules generate some list of pages (e.g. the pages most recently edited). Sometimes they include some additional information but mostly they are just meant to give you a list of pages. Prop modules operate on a list of pages and add some kind of extra information to each; the list can be determined by the client (via parameters like titles or pageids) or a list module (used as generator= instead of list=). You can use list= and prop= "together" but all that does is create two separate lists (one of which will be empty and not shown because there is no titles or generator parameter).
Your generator queries are fine; you'll need pilicense=any if you want non-free images in the output. Maybe you found some outdated documentation that does not mention that?
You can use intitle:... in the search term for title search (see docs).
I am trying to understand if there is an option to get the conversation logs of the discussions with some sort of a webhook.
The API.AI docs only refer to using webhook for fulfilment purposes , but for now I don't plan my server (GCP ENGINE APP) to supply fulfilment but only to log the relevant parameters from each conversation.
Anyone knows how to approach this?
Turn on the webhook feature for the intent. You will be able to get the requests and all the data associated with it. You will be able to send back to API.AI too. Here is the full circle:
{
"id": "891db09a-851c-43dc-81c6-4c6705c94f85",
"timestamp": "2017-01-03T10:31:18.676Z",
"result": {
"source": "agent",
"resolvedQuery": "yes, France",
"action": "show.news",
"actionIncomplete": false,
"parameters": {
"adjective": "",
"subject": "France"
},
"contexts": [
{
"name": "subject",
"parameters": {
"subject.original": "France",
"adjective": "",
"subject": "France",
"adjective.original": ""
},
"lifespan": 5
},
{
"name": "region",
"parameters": {
"subject.original": "France",
"adjective": "",
"subject": "France",
"adjective.original": ""
},
"lifespan": 5
}
],
"metadata": {
"intentId": "34773849-4ac2-4e28-95a5-7abfc061044e",
"webhookUsed": "true",
"webhookForSlotFillingUsed": "false",
"intentName": "subject"
},
"fulfillment": {
"speech": "Here is the latest news\n\n According to Watson the main emotion expressed in the article is: ;( ( sadness )\n\n Son of Equatorial Guinea’s president facing trial in France\n\nPARIS — After years of investigation, France on Monday put the son of the president of Equatorial Guinea on trial for corruption, charged with spending many millions in state funds — much of it allegedly in cash — to feed an opulent lifestyle of fast cars, designer clothes, works of art and...\n\nRead more: https://www.washingtonpost.com/world/europe/son-of-equatorial-guineas-president-facing-trial-in-france/2017/01/02/b03d30d0-d0cb-11e6-9651-54a0154cf5b3_story.html",
"source": "Washington Post",
"displayText": "Here is the latest news. According to Watson the main emotion expressed in the article is: sadness",
"messages": [
{
"type": 0,
"speech": "Here is the latest news\n\n According to Watson the main emotion expressed in the article is: ;( ( sadness )\n\n Son of Equatorial Guinea’s president facing trial in France\n\nPARIS — After years of investigation, France on Monday put the son of the president of Equatorial Guinea on trial for corruption, charged with spending many millions in state funds — much of it allegedly in cash — to feed an opulent lifestyle of fast cars, designer clothes, works of art and...\n\nRead more: https://www.washingtonpost.com/world/europe/son-of-equatorial-guineas-president-facing-trial-in-france/2017/01/02/b03d30d0-d0cb-11e6-9651-54a0154cf5b3_story.html"
}
],
"data": {
"newsAgent": {
"adjective": "",
"subject": "France",
"intent": "subject",
"action": "show.news",
"news": {
"title": "Son of Equatorial Guinea’s president facing trial in France",
"source": "Washington Post",
"link": "https://www.washingtonpost.com/world/europe/son-of-equatorial-guineas-president-facing-trial-in-france/2017/01/02/b03d30d0-d0cb-11e6-9651-54a0154cf5b3_story.html",
"language": "english",
"body": "PARIS — After years of investigation, France on Monday put the son of the president of Equatorial Guinea on trial for corruption, charged with spending many millions in state funds — much of it allegedly in cash — to feed an opulent lifestyle of fast cars, designer clothes, works of art and...",
"emotion": "sadness",
"emoticon": ";("
},
"speech": "Here is the latest news",
"sessionId": "0856125a-d0bc-4cba-990d-cbcfaea536db"
}
}
},
"score": 1
},
"status": {
"code": 206,
"errorType": "partial_content",
"errorDetails": "Webhook call failed. Error message: Webhook contains contexts with empty names or names containing whitespaces. ErrorId: 131000fa-0ec1-4efb-b47c-64301ac7bb2b"
},
"sessionId": "0856125a-d0bc-4cba-990d-cbcfaea536db"
}
The result object is the request that API.AI sends you, you get the contexts objects as well.
The fulfilment object is the response my endpoint sent back to API.AI
Check the documentation