fbicodec_ts
v0.1.1
Published
Forward-Backward-Interfaced general purpose invertible codec library
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FBIcodec
FBIcodec is so cleanly invertible, it's the last thing the FBI would investigate!
This is a typescript library for building bidirectional (encoding and decoding) codecs using composable steps. The "FBI" part in the name stands for "Forward-Backward-Interfaced", and Codec stands for an invertible data transformation.
The main building block of the library is its general purpose Step
interface, which ensures the ability for a forward transformation to be reversed.
The forward and backward methods take a single argument, allowing Steps to be composed into more complex Codecs.
Features
- Composable steps for encoding and decoding binary data
- Steps for primitive types like numbers, strings, bytes
- Steps for composing records, arrays, sequences
- Invertible - encoding and decoding are symmetric
- Type safe
Overview
The main abstractions are:
Step
- encodesforward
and decodesbackward
between a source and target type.Binarystep
- aStep
for encoding/decoding binary data.
To work with binary data of primitive types, such as: numbers, strings, bytes etc..., you can use the the BinaryPureStep
s inside the file binary_primitive_steps.ts
.
BinaryNumberStep
- supports signed/unsigned integers of 8, 16, 32 and 64 bits, and floats of 32 and 64 bits, in both little-endian and big-endian formats.BinaryStringStep
- for strings with varying lengths (based on theargs.length
parameter).BinaryCStringStep
- for NUL ("\x00"
) terminated strings.BinaryBytesStep
- for sequence of bytes (based on theargs.length
parameter).BinaryNumberArrayStep
- for numeric array of numbers (based on theargs.length
parameter).
To work with binary data of composite types, such as: records, arrays, sequences etc..., you can use the the BinaryPureStep
s inside the file binary_composition_steps
.
BinaryRecordStep
- encodes a record with named fields, when provided with a sequence ofSteps
for each field.BinaryArrayStep
- encodes an array of items, when provided with a singleStep
for the item type.SequentialSteps
- chains multipleStep
s.
For example, here is a step that decode and then repack PNG image file's metadata blocks:
class PNG_Codec_Step extends PureStep<Uint8Array, GeneralChunk_schema[]> {
forward(input: Uint8Array): GeneralChunk_schema[] {
// parse input into chunks
}
backward(input: GeneralChunk_schema[]): Uint8Array {
// encode chunks into binary
}
}
Theory
The key components that enable building robust bidirectional transformations are:
Step<FROM, TO, LOST>
- Defines symmetric forward and backward methods between source
FROM
and targetTO
types. Any lost information should be stored in theLOST
private property.
- Defines symmetric forward and backward methods between source
PureStep<FROM, TO> extends Step<FROM, TO, never>
- This is a
Step
that is guaranteed to not lose information during forward transformation, allowing backward transformation to fully reconstruct the original value. It also means that one may reuse a single instance of this kind of step for multiple forward and backward transformations, in whatever order it is deemed convenient. Hence, these kind of steps are suitable for being applied repeatdly by larger compositional steps.
- This is a
BinaryStep<OUT, ARGS, LOST> extends Step<{ bin: Uint8Array, pos: number, args: ARGS }, { val: OUT, len: number }, LOST>
- A step that specialized for parsing binary data.
backward encodes the wrapped
OUT
value back into a wrappedUint8Array
object.
- A step that specialized for parsing binary data.
backward encodes the wrapped
BinaryPureStep<OUT, ARGS> extends PureStep<{ bin: Uint8Array, pos: number, args: ARGS }>
- Similar to
BinaryStep
, but is guaranteed not to lose data during forward transformation. This is the class that is basically used by all implementations ofBinaryStep
s.
- Similar to
These simple interfaces allow Step
s to be composed in a type-safe way.
Moreover, the compositions form a tree structure that preserves invertibility - as long as each Step
inside implements their forward
and backward
methods correctly, the entire composition will be robustly reversible.
It also makes diagnosing issues easier - if there is a decoding error, it must be within one of the composed Steps. The composition tree narrows down where the issue lies.