Reference
This is the public API for DataToolkit. Some symbols have been exported for convenience, others need to be specifically imported or accessed with DataToolkit.<thing>
.
Exported Symbols
Macros
DataToolkit.@d_str
— Macro@d_str -> loaded data
Shorthand for loading a dataset in the default format, d"iris"
is equivalent to read(dataset("iris"))
.
DataToolkit.@data_cmd
— Macro@data_cmd -> Data REPL command result
Proxy for running the command in the Data REPL, e.g. data`config set demo 1`
is equivalent to data> config set demo 1
.
DataToolkit.@require
— Macro@require Package
@require Package = "UUID"
Require the package Package
, either previously registered with @addpkg
or by UUID.
This sets a variable Package
to the module of the package.
If the package is not currently loaded, DataToolkit will attempt to lazy-load the package via an early return PkgRequiredRerunNeeded
singleton. So long as this is seen by a calling invokepkglatest
the package will be loaded and the function re-run.
See also: @addpkg
, invokepkglatest
.
Functions
DataToolkit.dataset
— Functiondataset([collection::DataCollection], identstr::AbstractString, [parameters::Dict{String, Any}])
dataset([collection::DataCollection], identstr::AbstractString, [parameters::Pair{String, Any}...])
Return the data set identified by identstr
, optionally specifying the collection
the data set should be found in and any parameters
that apply.
DataToolkitCore.loadcollection!
— Functionloadcollection!(source::Union{<:AbstractString, <:IO}, mod::Module=Base.Main;
soft::Bool=false, index::Int=1)
Load a data collection from source
and add it to the data stack at index
. source
must be accepted by read(source, DataCollection)
.
mod
should be set to the Module within which loadcollection!
is being invoked. This is important when code is run by the collection. As such, it is usually appropriate to call:
loadcollection!(source, @__MODULE__; soft)
When soft
is set, should an data collection already exist with the same UUID, nothing will be done and nothing
will be returned.
Types
Unexported Symbols
Modules
DataToolkitBase
and DataToolkitCommon
are available as Base
and Common
respectively.
Macros
DataToolkit
DataToolkit.@addpkgs
— Macro@addpkgs pkgs...
For each named package, register it with DataToolkitBase
. Each package must be a dependency of the current module, recorded in its Project.toml.
This allows the packages to be used with DataToolkitBase.@require
.
Instead of providing a list of packages, the symbol *
can be provided to register all dependencies.
This must be run at runtime to take effect, so be sure to place it in the __init__
function of a package.
Examples
@addpkgs JSON3 CSV
@addpkgs * # Register all dependencies
DataToolkit.@addpkg
— Macro@addpkg name::Symbol uuid::String
Register the package identified by name
with UUID uuid
. This package may now be used with @require $name
.
All @addpkg
statements should lie within a module's __init__
function.
Example
@addpkg CSV "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
Functions
DataToolkit
DataToolkitCore.create!
— Methodcreate!(::Type{DataCollection}, name::Union{String, Nothing}, path::Union{String, Nothing};
uuid::UUID=uuid4(), plugins::Vector{String}=String[], mod::Module=Base.Main)
Create a new data collection.
This can be an in-memory data collection, when path
is set to nothing
, or a collection which corresponds to a Data TOML file, in which case path
should be set to either a path to a .toml
file or an existing directory in which a Data.toml
file should be placed.
When a path is provided, the data collection will immediately be written, overwriting any existing file at the path.
DataToolkit.plugins
— Functionplugins()
List the currently availible plugins, by name.
DataToolkit.addpkgs
— Functionaddpkgs(mod::Module, pkgs::Vector{Symbol})
For each package in pkgs
, which are dependencies recorded in mod
's Project.toml, register the package with DataToolkitBase.addpkg
.
If pkgs
consists of the single symbol :*
, then all dependencies of mod
will be registered.
This must be run at runtime to take effect, so be sure to place it in the __init__
function of a package.
DataToolkitBase
DataToolkitCore.getlayer
— Functiongetlayer([::Nothing])
Return the first DataCollection
on the STACK
.
getlayer(name::AbstractString)
getlayer(uuid::UUID)
Find the DataCollection
in STACK
with name
/uuid
.
Types
DataToolkitCore.Identifier
— TypeIdentifier
A description that can be used to uniquely identify a DataSet.
Four fields are used to describe the target DataSet:
collection
, the name or UUID of the collection (optional).dataset
, the name or UUID of the dataset.type
, the type that should be loaded from the dataset.parameters
, any extra parameters of the dataset that should match.
Constructors
Identifier(collection::Union{AbstractString, UUID, Nothing},
dataset::Union{AbstractString, UUID},
type::Union{QualifiedType, Nothing},
parameters::Dict{String, Any})
Parsing
An Identifier can be represented as a string with the following form, with the optional components enclosed by square brackets:
[COLLECTION:]DATASET[::TYPE]
Such forms can be parsed to an Identifier by simply calling the parse
function, i.e. parse(Identifier, "mycollection:dataset")
.
Identifier(dataset::DataSet, collection::Union{Symbol, Nothing}=:name,
name::Symbol=something(collection, :name))
Create an Identifier
referring to dataset
, specifying the collection dataset
comes from as well (when collection
is not nothing
) as all of its parameters, but without any type information.
Should collection
and name
default to the symbol :name
, which signals that the collection and dataset reference of the generated Identifier
should use the names of the collection/dataset. If set to :uuid
, the UUID is used instead. No other value symbols are supported.