implement the recipe_pipeline
This commit is contained in:
Simon Christ
parent
dee4a7421d
commit
a9d32ccaf5
@ -21,7 +21,9 @@ import JSON
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import RecipeUtils: _process_userrecipes, _process_plotrecipe,
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_process_seriesrecipe, _preprocess_args,
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preprocessArgs!, is_st_supported,
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finalize_subplot!
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finalize_subplot!, recipe_pipeline,
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_recipe_init, _recipe_after_user,
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_recipe_after_plot, _recipe_finish
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using Requires
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132
src/plot.jl
132
src/plot.jl
@ -54,7 +54,7 @@ function plot(args...; kw...)
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# create an empty Plot then process
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plt = Plot()
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# plt.user_attr = plotattributes
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_plot!(plt, plotattributes, args)
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recipe_pipeline(plt, plotattributes, args)
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end
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# build a new plot from existing plots
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@ -155,7 +155,7 @@ function plot!(plt::Plot, args...; kw...)
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plotattributes = KW(kw)
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preprocessArgs!(plotattributes)
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# merge!(plt.user_attr, plotattributes)
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_plot!(plt, plotattributes, args)
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recipe_pipeline(plt, plotattributes, args)
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end
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# -------------------------------------------------------------------------------
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@ -163,78 +163,26 @@ end
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# this is the core plotting function. recursively apply recipes to build
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# a list of series KW dicts.
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# note: at entry, we only have those preprocessed args which were passed in... no default values yet
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function _plot!(plt::Plot, plotattributes::AKW, args::Tuple)
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## here we implement the recipe interface
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function _recipe_init(plt::Plot, plotattributes::AKW, args::Tuple)
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plotattributes[:plot_object] = plt
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if !isempty(args) && !isdefined(Main, :StatsPlots) &&
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first(split(string(typeof(args[1])), ".")) == "DataFrames"
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@warn("You're trying to plot a DataFrame, but this functionality is provided by StatsPlots")
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end
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end
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# --------------------------------
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# "USER RECIPES"
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# --------------------------------
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kw_list = _process_userrecipes(plt, plotattributes, args)
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# @info(1)
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# map(DD, kw_list)
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# --------------------------------
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# "PLOT RECIPES"
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# --------------------------------
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# "plot recipe", which acts like a series type, and is processed before
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# the plot layout is created, which allows for setting layouts and other plot-wide attributes.
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# we get inputs which have been fully processed by "user recipes" and "type recipes",
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# so we can expect standard vectors, surfaces, etc. No defaults have been set yet.
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still_to_process = kw_list
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kw_list = KW[]
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while !isempty(still_to_process)
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next_kw = popfirst!(still_to_process)
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_process_plotrecipe(plt, next_kw, kw_list, still_to_process)
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end
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# @info(2)
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# map(DD, kw_list)
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function _recipe_after_plot(plt::Plot, plotattributes::AKW, args::Tuple)
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# --------------------------------
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# Plot/Subplot/Layout setup
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# --------------------------------
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_plot_setup(plt, plotattributes, kw_list)
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_subplot_setup(plt, plotattributes, kw_list)
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end
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# !!! note: At this point, kw_list is fully decomposed into individual series... one KW per series. !!!
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# !!! The next step is to recursively apply series recipes until the backend supports that series type !!!
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# --------------------------------
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# "SERIES RECIPES"
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# --------------------------------
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# @info(3)
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# map(DD, kw_list)
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for kw in kw_list
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sp::Subplot = kw[:subplot]
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# in series attributes given as vector with one element per series,
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# select the value for current series
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_slice_series_args!(kw, plt, sp, series_idx(kw_list,kw))
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series_attr = Attr(kw, _series_defaults)
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# now we have a fully specified series, with colors chosen. we must recursively handle
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# series recipes, which dispatch on seriestype. If a backend does not natively support a seriestype,
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# we check for a recipe that will convert that series type into one made up of lower-level components.
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# For example, a histogram is just a bar plot with binned data, a bar plot is really a filled step plot,
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# and a step plot is really just a path. So any backend that supports drawing a path will implicitly
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# be able to support step, bar, and histogram plots (and any recipes that use those components).
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_process_seriesrecipe(plt, series_attr)
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end
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# --------------------------------
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function _recipe_finish(plt::Plot, plotattributes::AKW, args::Tuple)
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current(plt)
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# do we want to force display?
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@ -245,6 +193,68 @@ function _plot!(plt::Plot, plotattributes::AKW, args::Tuple)
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plt
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end
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# function _plot!(plt::Plot, plotattributes::AKW, args::Tuple)
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#
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# # --------------------------------
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# # "USER RECIPES"
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# # --------------------------------
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#
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# kw_list = _process_userrecipes(plt, plotattributes, args)
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#
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# # @info(1)
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# # map(DD, kw_list)
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#
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#
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# # --------------------------------
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# # "PLOT RECIPES"
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# # --------------------------------
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#
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# # "plot recipe", which acts like a series type, and is processed before
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# # the plot layout is created, which allows for setting layouts and other plot-wide attributes.
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# # we get inputs which have been fully processed by "user recipes" and "type recipes",
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# # so we can expect standard vectors, surfaces, etc. No defaults have been set yet.
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# still_to_process = kw_list
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# kw_list = KW[]
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# while !isempty(still_to_process)
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# next_kw = popfirst!(still_to_process)
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# _process_plotrecipe(plt, next_kw, kw_list, still_to_process)
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# end
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#
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# # @info(2)
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# # map(DD, kw_list)
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#
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#
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# # !!! note: At this point, kw_list is fully decomposed into individual series... one KW per series. !!!
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# # !!! The next step is to recursively apply series recipes until the backend supports that series type !!!
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#
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# # --------------------------------
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# # "SERIES RECIPES"
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# # --------------------------------
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#
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# # @info(3)
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# # map(DD, kw_list)
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#
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# for kw in kw_list
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# sp::Subplot = kw[:subplot]
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#
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# # in series attributes given as vector with one element per series,
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# # select the value for current series
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# _slice_series_args!(kw, plt, sp, series_idx(kw_list,kw))
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#
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#
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# series_attr = Attr(kw, _series_defaults)
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# # now we have a fully specified series, with colors chosen. we must recursively handle
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# # series recipes, which dispatch on seriestype. If a backend does not natively support a seriestype,
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# # we check for a recipe that will convert that series type into one made up of lower-level components.
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# # For example, a histogram is just a bar plot with binned data, a bar plot is really a filled step plot,
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# # and a step plot is really just a path. So any backend that supports drawing a path will implicitly
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# # be able to support step, bar, and histogram plots (and any recipes that use those components).
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# _process_seriesrecipe(plt, series_attr)
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# end
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# --------------------------------
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end
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# we're getting ready to display/output. prep for layout calcs, then update
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