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a3b35880e5
Summary: Modified `Entity` to use the new `ResolvedVal` data type. Other changes follow naturally. Related issues: https://github.com/facebook/duckling/issues/121 and https://github.com/facebook/duckling/issues/172 Now one can pattern match on the output value, for instance: ``` {-# LANGUAGE GADTs #-} import Data.Text import Duckling.Core import Duckling.Testing.Types import qualified Duckling.PhoneNumber.Types as PN parsePhoneNumber :: Text -> Text parsePhoneNumber input = case value entity of (RVal PhoneNumber (PN.PhoneNumberValue v)) -> v where (entity:_) = parse input testContext testOptions [This PhoneNumber] ``` Reviewed By: patapizza Differential Revision: D7502020 fbshipit-source-id: 76ba7b315cfd0d2c61ff95c855b7c95efc0a401c
111 lines
4.8 KiB
Markdown
111 lines
4.8 KiB
Markdown
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# Duckling [](https://travis-ci.org/facebook/duckling)
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Duckling is a Haskell library that parses text into structured data.
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```
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"the first Tuesday of October"
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=> {"value":"2017-10-03T00:00:00.000-07:00","grain":"day"}
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```
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## Requirements
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A Haskell environment is required. We recommend using
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[stack](https://haskell-lang.org/get-started).
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On macOS you'll need to install PCRE development headers.
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The easiest way to do that is with [Homebrew](https://brew.sh/):
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```
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brew install pcre
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```
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If that doesn't help, try running `brew doctor` and fix
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the issues it finds.
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## Quickstart
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To compile and run the binary:
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```
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$ stack build
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$ stack exec duckling-example-exe
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```
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The first time you run it, it will download all required packages.
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This runs a basic HTTP server. Example request:
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```
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$ curl -XPOST http://0.0.0.0:8000/parse --data 'locale=en_GB&text=tomorrow at eight'
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```
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See `exe/ExampleMain.hs` for an example on how to integrate Duckling in your
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project.
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If your backend doesn't run Haskell or if you don't want to spin your own Duckling server, you can directly use [wit.ai](https://wit.ai)'s built-in entities.
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## Supported dimensions
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Duckling supports many languages, but most don't support all dimensions yet
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(**we need your help!**).
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Please look into [this directory](https://github.com/facebook/duckling/blob/master/Duckling/Dimensions) for language-specific support.
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| Dimension | Example input | Example value output
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| --------- | ------------- | --------------------
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| `AmountOfMoney` | "42€" | `{"value":42,"type":"value","unit":"EUR"}`
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| `Distance` | "6 miles" | `{"value":6,"type":"value","unit":"mile"}`
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| `Duration` | "3 mins" | `{"value":3,"minute":3,"unit":"minute","normalized":{"value":180,"unit":"second"}}`
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| `Email` | "duckling-team@fb.com" | `{"value":"duckling-team@fb.com"}`
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| `Numeral` | "eighty eight" | `{"value":88,"type":"value"}`
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| `Ordinal` | "33rd" | `{"value":33,"type":"value"}`
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| `PhoneNumber` | "+1 (650) 123-4567" | `{"value":"(+1) 6501234567"}`
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| `Quantity` | "3 cups of sugar" | `{"value":3,"type":"value","product":"sugar","unit":"cup"}`
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| `Temperature` | "80F" | `{"value":80,"type":"value","unit":"fahrenheit"}`
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| `Time` | "today at 9am" | `{"values":[{"value":"2016-12-14T09:00:00.000-08:00","grain":"hour","type":"value"}],"value":"2016-12-14T09:00:00.000-08:00","grain":"hour","type":"value"}`
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| `Url` | "https://api.wit.ai/message?q=hi" | `{"value":"https://api.wit.ai/message?q=hi","domain":"api.wit.ai"}`
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| `Volume` | "4 gallons" | `{"value":4,"type":"value","unit":"gallon"}`
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## Extending Duckling
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To regenerate the classifiers and run the test suite:
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```
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$ stack build :duckling-regen-exe && stack exec duckling-regen-exe && stack test
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```
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It's important to regenerate the classifiers after updating the code and before
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running the test suite.
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To extend Duckling's support for a dimension in a given language, typically 2
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files need to be updated:
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* `Duckling/<dimension>/<language>/Rules.hs`
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* `Duckling/<dimension>/<language>/Corpus.hs`
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To add a new language:
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* Make sure that the language code used follows the [ISO-639-1 standard](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes).
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* The first dimension to implement is `Numeral`.
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* Follow [this example](https://github.com/facebook/duckling/commit/24d3f199768be970149412c95b1c1bf5d76f8240).
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To add a new locale:
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* There should be a need for diverging rules between the locale and the language.
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* Make sure that the locale code is a valid [ISO3166 alpha2 country code](https://www.iso.org/obp/ui/#search/code/).
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* Follow [this example](https://github.com/facebook/duckling/commit/1ab5f447d2635fe6d48887a501d333a52adff5b9).
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Rules have a name, a pattern and a production.
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Patterns are used to perform character-level matching (regexes on input) and
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concept-level matching (predicates on tokens).
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Productions are arbitrary functions that take a list of tokens and return a new
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token.
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The corpus (resp. negative corpus) is a list of examples that should (resp.
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shouldn't) parse. The reference time for the corpus is Tuesday Feb 12, 2013 at
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4:30am.
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`Duckling.Debug` provides a few debugging tools:
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```
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$ stack repl --no-load
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> :l Duckling.Debug
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> debug (makeLocale EN $ Just US) "in two minutes" [This Time]
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in|within|after <duration> (in two minutes)
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-- regex (in)
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-- <integer> <unit-of-duration> (two minutes)
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-- -- integer (0..19) (two)
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-- -- -- regex (two)
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-- -- minute (grain) (minutes)
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-- -- -- regex (minutes)
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[Entity {dim = "time", body = "in two minutes", value = RVal Time (TimeValue (SimpleValue (InstantValue {vValue = 2013-02-12 04:32:00 -0200, vGrain = Second})) [SimpleValue (InstantValue {vValue = 2013-02-12 04:32:00 -0200, vGrain = Second})] Nothing), start = 0, end = 14}]
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```
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## License
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Duckling is BSD-licensed. We also provide an additional patent grant.
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