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Round-Tripping Balls Building A Bi-Directional Printer/Parser 1 / 46 Introducing: Enterprise JSON 2 / 46 Introducing: Enterprise JSON datetime "27/6/2013 10:29 pm" 2 / 46 Introducing: Enterprise JSON datetime


  1. Round-Tripping Balls Building A Bi-Directional Printer/Parser 1 / 46

  2. Introducing: Enterprise JSON 2 / 46

  3. Introducing: Enterprise JSON “datetime” "27/6/2013 10:29 pm" 2 / 46

  4. Introducing: Enterprise JSON “datetime” "27/6/2013 10:29 pm" “date” "12/12/2012" 2 / 46

  5. Introducing: Enterprise JSON “datetime” "27/6/2013 10:29 pm" “date” "12/12/2012" “mmdddate” "12/12" 2 / 46

  6. Introducing: Enterprise JSON “datetime” "27/6/2013 10:29 pm" “date” "12/12/2012" “mmdddate” "12/12" “mmyydate” "12/2012" 2 / 46

  7. Introducing: Enterprise JSON “datetime” "27/6/2013 10:29 pm" “date” "12/12/2012" “mmdddate” "12/12" “mmyydate” "12/2012" "12.2012" 2 / 46

  8. Introducing: Enterprise JSON “datetime” "27/6/2013 10:29 pm" “date” "12/12/2012" “mmdddate” "12/12" “mmyydate” "12/2012" "12.2012" "122012" 2 / 46

  9. Introducing: Enterprise JSON “checkbox” "T" 3 / 46

  10. Introducing: Enterprise JSON “checkbox” "T" “currency”, “currency2” and “poscurrency” "00.03" 3 / 46

  11. Introducing: Enterprise JSON “checkbox” "T" “currency”, “currency2” and “poscurrency” "00.03" “posfloat”, “nonnegfloat” "2.718281828459045" 3 / 46

  12. Introducing: Enterprise JSON Figure 1: Concern for sanity 4 / 46

  13. A wild paper appears! 5 / 46

  14. Given a datatype: data List a = Nil | Cons a (List a) 6 / 46

  15. We define a Printer 1 “combinator” type Printer a = a -> Doc printMany :: Printer a -> Printer (List a) printMany p list = case list of Nil -> text "" Cons x xs -> p x <> printMany p xs 7 / 46

  16. And a Parser 2 “combinator” newtype Parser a = Parser (String -> [(a, String)]) parseMany :: Parser a -> Parser (List a) parseMany p = const Nil <$> text "" <|> Cons <$> p <*> parseMany p 8 / 46

  17. It would be nice if. . . combined :: Unicorn x => x a -> x (List a) combined p = magic Nil <$> fairies "" <|> Cons <$> p <*> parseMany p 9 / 46

  18. co/contravariance newtype Parser a = Parser (String -> [(a, String)]) (<$>) :: (a -> b) -> Parser a -> Parser b f <$> Parser p = Parser $ (fmap . first) f . p 10 / 46

  19. co/contravariance newtype Parser a = Parser (String -> [(a, String)]) (<$>) :: (a -> b) -> Parser a -> Parser b f <$> Parser p = Parser $ (fmap . first) f . p type Printer a = a -> Doc (<$>) :: (a -> b) -> Printer a -> Printer b 10 / 46

  20. co/contravariance newtype Parser a = Parser (String -> [(a, String)]) (<$>) :: (a -> b) -> Parser a -> Parser b f <$> Parser p = Parser $ (fmap . first) f . p type Printer a = a -> Doc (<$>) :: (a -> b) -> Printer a -> Printer b Can you implement this? 10 / 46

  21. co/contravariance Covariant newtype Parser a = Parser (String -> [(a, String)]) (<$>) :: (a -> b) -> Parser a -> Parser b type Printer a = a -> Doc (<$>) :: (b -> a) -> Printer a -> Printer b Contravariant 11 / 46

  22. The solution: Partial Isomorphisms 3 data Iso a b = Iso { apply :: a -> Maybe b , unapply :: b -> Maybe a } 12 / 46

  23. The solution: IsoFunctor 4 class Functor f where (<$>) :: (a -> b) -> f a -> f b 13 / 46

  24. The solution: IsoFunctor 4 class Functor f where (<$>) :: (a -> b) -> f a -> f b class IsoFunctor f where (<$>) :: Iso a b -> f a -> f b 13 / 46

  25. The important things about partial isos ◮ Unifying a functor requires both a → b and b → a 14 / 46

  26. The important things about partial isos ◮ Unifying a functor requires both a → b and b → a ◮ We unify both with a partial Iso, where these functions can fail 14 / 46

  27. The important things about partial isos ◮ Unifying a functor requires both a → b and b → a ◮ We unify both with a partial Iso, where these functions can fail ◮ We defined IsoFunctor (from partial isos to printer/parsers) 14 / 46

  28. Applicative class Applicative where (<*>) :: f (a -> b) -> f a -> f b 15 / 46

  29. Applicative class Applicative where (<*>) :: f (a -> b) -> f a -> f b class UnhelpfulIsoApplicative where (<*>) :: f (Iso a b) -> f a -> f b 15 / 46

  30. Applicative class Applicative where (<*>) :: f (a -> b) -> f a -> f b class UnhelpfulIsoApplicative where (<*>) :: f (Iso a b) -> f a -> f b type Printer a = a -> Doc instance UnhelpfulIsoApplicative Printer where (<*>) :: (Iso a b -> Doc) -> (a -> Doc) -> b -> Doc (f <*> g) b = error "how do I shot web?" 15 / 46

  31. Applicative class Functor f => Applicative f where (<*>) :: f (a -> b) -> f a -> f b 16 / 46

  32. Applicative class Functor f => Applicative f where (<*>) :: f (a -> b) -> f a -> f b class ProductFunctor f where infixr 6 <*> (<*>) :: f a -> f b -> f (a, b) 16 / 46

  33. Applicative class Functor f => Applicative f where (<*>) :: f (a -> b) -> f a -> f b class ProductFunctor f where infixr 6 <*> (<*>) :: f a -> f b -> f (a, b) instance ProductFunctor Printer where Printer p <*> Printer q = Printer $ \(x, y) -> liftM2 ( ++ ) (p x) (q y) 16 / 46

  34. Tuple trees for our data types nil :: Iso () (List a) cons :: Iso (a, List a) (List a) 17 / 46

  35. Tuple trees for our data types nil :: Iso () (List a) cons :: Iso (a, List a) (List a) data List a = Nil | Cons a (List a) defineIsomorphisms ''List 17 / 46

  36. The important things: ProductFunctor 18 / 46

  37. The important things: ProductFunctor ◮ Naively adapting Applicative leaves us with an uninhabitable type. 18 / 46

  38. The important things: ProductFunctor ◮ Naively adapting Applicative leaves us with an uninhabitable type. ◮ We use ProductFunctor, it has tuples instead of currying and associates right 18 / 46

  39. The important things: ProductFunctor ◮ Naively adapting Applicative leaves us with an uninhabitable type. ◮ We use ProductFunctor, it has tuples instead of currying and associates right ◮ <*> mushes tuples together one way, and takes them apart the other 18 / 46

  40. Almost done, Alternative 6 is trivial class Alternative where (<|>) :: f a -> f a -> f a 19 / 46

  41. We now have an abstract Syntax 7 class (IsoFunctor s, ProductFunctor s, Alternative s) => Syntax s where pure :: Eq a => a -> s a 20 / 46

  42. Invertible Syntax Descriptions: the punchline parseMany :: Parser a -> Parser (List a) parseMany p = const Nil <$> text "" <|> Cons <$> p printMany :: (a -> Doc) -> (List a -> Doc) printMany p list = case list of Nil -> text "" Cons x xs -> p x <> printMany p xs 21 / 46

  43. Invertible Syntax Descriptions: the punchline many :: Syntax s => s a -> s (List a) many p = nil <$> pure () <|> cons <$> p <*> many p 22 / 46

  44. Invertible Syntax Descriptions: summary 23 / 46

  45. Invertible Syntax Descriptions: summary ◮ Partial isos: composable building blocks for munging data 23 / 46

  46. Invertible Syntax Descriptions: summary ◮ Partial isos: composable building blocks for munging data ◮ IsoFunctor: to “lift” theses isos into concrete printers or parsers 23 / 46

  47. Invertible Syntax Descriptions: summary ◮ Partial isos: composable building blocks for munging data ◮ IsoFunctor: to “lift” theses isos into concrete printers or parsers ◮ ProductFunctor: to handle multiple fields and sequencing via tuples 23 / 46

  48. Invertible Syntax Descriptions: summary ◮ Partial isos: composable building blocks for munging data ◮ IsoFunctor: to “lift” theses isos into concrete printers or parsers ◮ ProductFunctor: to handle multiple fields and sequencing via tuples ◮ Syntax: to glue all these constraints together and add pure 23 / 46

  49. Let’s try it on enterprise JSON! Figure 2: We are now enterprise developers 24 / 46

  50. JsonBuilder/Parser IsoFunctor, simple! newtype JsonBuilder a = JsonBuilder { runBuilder :: a -> Maybe Value } newtype JsonParser a = JsonParser { runParser :: Value -> Maybe a } instance IsoFunctor JsonBuilder where (<$>) :: Iso a b -> JsonBuilder a -> JsonBuilder b i <$> JsonBuilder b = JsonBuilder $ unapply i >=> b instance IsoFunctor JsonParser where (<$>) :: Iso a b -> JsonParser a -> JsonParser b i <$> JsonParser p = JsonParser $ apply i <=< p 25 / 46

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