Packages

  • package root
    Definition Classes
    root
  • package io
    Definition Classes
    root
  • package dylemma
    Definition Classes
    io
  • package spac

    SPaC (short for "Streaming Parser Combinators") is a library for building stream consumers in a declarative style, specialized for tree-like data types like XML and JSON.

    SPaC (short for "Streaming Parser Combinators") is a library for building stream consumers in a declarative style, specialized for tree-like data types like XML and JSON.

    Many utilities for handling XML and JSON data involve parsing the entire "document" to some DOM model, then inspecting and transforming that model to extract information. The downside to these utilities is that when the document is very large, the DOM may not fit in memory. The workaround for this type of problem is to treat the document as a stream of "events", e.g. "StartElement" and "EndElement" for XML, or "StartObject" and "EndObject" for JSON. The downside to this workaround is that writing code to handle these streams can be complicated and error-prone, especially when the DOM is complicated.

    SPaC's goal is to drastically simplify the process of creating code to handle these streams.

    This package contains the "core" SPaC traits; Parser, Transformer, Splitter, and ContextMatcher.

    See the xml and json subpackages (provided by the xml-spac and json-spac libraries respectively) for specific utilities related to handling XML and JSON event streams.

    Definition Classes
    dylemma
  • package json

    This package provides extensions to the core "spac" library which allow for the handling of JSON data.

    This package provides extensions to the core "spac" library which allow for the handling of JSON data.

    Rather than creating explicit classes that extend Parser, Transformer, and Splitter, this package provides type aliases and implicit extensions. For example, JsonParser[A] is just a type alias for Parser[JsonEvent, A], and JsonParser is just a call to Parser[JsonEvent].

    Implicit JsonParsers are available for each of the JSON primitive types:

    • string
    • number (expressed as Int, Long, Float, or Double)
    • boolean
    • null (expressed as None.type)

    Helpers are available for parsing JSON arrays and objects:

    • JsonParser.listOf[A] to parse an array where each value is an A
    • JsonParser.objectOf[A] to parse an object where the value for each field an A
    • JsonParser.objectOfNullable[A] to parse an object where the value for each field is either null or an A, filtering out the nulls
    • JsonParser.fieldOf[A](fieldName) to parse a specific field from an object

    A DSL for creating json-specific ContextMatchers is provided to make it more convenient to call Splitter.json. For example:

    Splitter.json("foo" \ "bar").as[String].parseFirst

    Can be used to capture rootJson.foo.bar as a String in

    {
      "foo": {
        "bar": "hello"
      }
    }

    To "split" values inside arrays, index-related context matchers are available, e.g.

    Splitter.json("foo" \ anyIndex).as[Int].parseToList

    Can be used to capture each of the numbers in the "foo" array in

    {
      "foo": [1, 2, 3]
    }

    A note about JsonEvents in spac: JSON doesn't have any explicit markers for when a field ends, or when an array index starts or ends; those context changes are essentially inferred by the presence of some other event. For example, instead of a "field end" event, typically there will be either a new "field start" or a token representing the end of the current object. With spac, splitters and context matchers generally operate under the assumption that a "stack push" event (like a field start) will eventually be followed by a corresponding "stack pop" event (i.e. field end).

    To allow for this, these "inferred" events (FieldEnd, IndexStart, IndexEnd) are explicitly represented as JsonEvents in the stream being parsed. Keep this in mind when creating JSON ContextMatchers:

    • field-related matchers will match a stack like case ObjectStart :: FieldStart(_) :: _
    • index-related matchers will match a stack like case ArrayStart :: IndexStart(_) :: _
    Definition Classes
    spac
  • Fs2DataSource
  • JacksonSource
  • JsonEvent
  • JsonParserApplyOps
  • JsonSplitterApplyOps
  • JsonSplitterOps
  • JsonStackElem
  • JsonStackPop
  • JsonValueEvent
o

io.dylemma.spac.json

Fs2DataSource

object Fs2DataSource

Provides helpers for creating FS2 streams of io.dylemma.spac.json.JsonEvent, using fs2-data-json as the underlying event provider.

This helper is set up to mirror the layout of the corresponding Fs2DataSource helper in the fs2-data-xml support module, but since there's less customization involved in setting up a stream of fs2-data-json Token objects, there's a lot less going on in this object. The main functionality provided here is the convert pipe, and some small helpers to automatically call it.

For example:

val charStream: Stream[IO, Char] = ???

// this...
val jsonStream1: Stream[IO, JsonEvent] = {
  import fs2.data.json._
  charStream
    .through(tokens)
    .through(Fs2DataSource.convertEvents)
}

// could be replaced with
val jsonStream2: Stream[IO, JsonEvent] = {
  Fs2DataSource[IO](charStream)
}

Essentially this helper just provides a convenient apply method that accepts String, Stream[F, Char], Stream[F, String], or Stream[F, fs2.data.json.Token] to return a Stream[F, JsonEvent] which a JsonParser could then interact with.

Source
Fs2DataSource.scala
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  6. def convert[F[_]](implicit callerPos: CallerPos): Pipe[F, Token, JsonEvent]

    Pipe for converting fs2.data.json.Token to io.dylemma.spac.json.JsonEvent.

    Pipe for converting fs2.data.json.Token to io.dylemma.spac.json.JsonEvent. This will be used under the hood of the apply and syncIO helpers, but is being made available to allow for manual stream creation when desired. This pipe takes care of injecting "inferred" events that don't have explicit token representations, like FieldEnd, IndexStart, and IndexEnd.

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  10. def fromRawJsonStream[F[_], A](rawJsonStream: Stream[F, A])(implicit A: CharLikeChunks[F, A], F: RaiseThrowable[F], callerPos: CallerPos): Stream[F, JsonEvent]
  11. def fromString[F[_]](rawJson: String)(implicit F: RaiseThrowable[F], callerPos: CallerPos): Stream[F, JsonEvent]
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