Set up documentation (#334)

This PR adds some auto-generated (i.e. terrible) documentation. It's a start at least. Maybe we can copy (and update) some parts from the Turing docs. Probably at least want to split it up into different areas, e.g., "@model macro", "Sampler","@prob macro", "VarInfo" etc. I think it's easier to review if such major changes are performed in subsequent PRs.

Not all exported functions and types were documented and so I had to add some docstrings (e.g. for `@submodel`).

Edit: You can have a look at the preview here: https://turinglang.github.io/DynamicPPL.jl/previews/PR334/ (you can also just click on "Details" for "documenter/deploy" in the Github action status checks below)

Co-authored-by: David Widmann <[email protected]>

Author: devmotion

.github/workflows/CompatHelper.yml

@@ -13,5 +13,5 @@ jobs:
       - name: CompatHelper.main()
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          COMPATHELPER_PRIV: ${{ secrets.COMPATHELPER_PRIV }}
-        run: julia -e 'using CompatHelper; CompatHelper.main(; subdirs = ["", "test", "test/turing"])'
+          COMPATHELPER_PRIV: ${{ secrets.DOCUMENTER_KEY }}
+        run: julia -e 'using CompatHelper; CompatHelper.main(; subdirs = ["", "docs", "test", "test/turing"])'

.github/workflows/Docs.yml

@@ -0,0 +1,36 @@
+name: Documentation
+
+on:
+  push:
+    branches:
+      # This is where pull requests from "bors r+" are built.
+      - staging
+      # This is where pull requests from "bors try" are built.
+      - trying
+      # Build the master branch.
+      - master
+    tags: '*'
+  pull_request:
+
+concurrency:
+  # Skip intermediate builds: always.
+  # Cancel intermediate builds: only if it is a pull request build.
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: ${{ startsWith(github.ref, 'refs/pull/') }}
+
+jobs:
+  docs:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - uses: julia-actions/setup-julia@latest
+        with:
+          version: '1'
+      - name: Install dependencies
+        run: julia --project=docs/ -e 'using Pkg; Pkg.develop(PackageSpec(path=pwd())); Pkg.instantiate()'
+      - name: Build and deploy
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # For authentication with GitHub Actions token
+          DOCUMENTER_KEY: ${{ secrets.DOCUMENTER_KEY }} # For authentication with SSH deploy key
+          JULIA_DEBUG: Documenter # Print `@debug` statements (https://github.com/JuliaDocs/Documenter.jl/issues/955)
+        run: julia --project=docs/ docs/make.jl

.github/workflows/DocsPreviewCleanup.yml

@@ -0,0 +1,26 @@
+name: DocsPreviewCleanup
+
+on:
+  pull_request:
+    types: [closed]
+
+jobs:
+  cleanup:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout gh-pages branch
+        uses: actions/checkout@v2
+        with:
+          ref: gh-pages
+      - name: Delete preview and history + push changes
+        run: |
+            if [ -d "previews/PR$PRNUM" ]; then
+              git config user.name "Documenter.jl"
+              git config user.email "[email protected]"
+              git rm -rf "previews/PR$PRNUM"
+              git commit -m "delete preview"
+              git branch gh-pages-new $(echo "delete history" | git commit-tree HEAD^{tree})
+              git push --force origin gh-pages-new:gh-pages
+            fi
+        env:
+            PRNUM: ${{ github.event.number }}

.github/workflows/Format.yml

@@ -11,6 +11,12 @@ on:
       - master
   pull_request:
 
+concurrency:
+  # Skip intermediate builds: always.
+  # Cancel intermediate builds: only if it is a pull request build.
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: ${{ startsWith(github.ref, 'refs/pull/') }}
+
 jobs:
   format:
     runs-on: ubuntu-latest

.github/workflows/TagBot.yml

@@ -12,3 +12,4 @@ jobs:
       - uses: JuliaRegistries/TagBot@v1
         with:
           token: ${{ secrets.GITHUB_TOKEN }}
+          ssh: ${{ secrets.DOCUMENTER_KEY }}

README.md

@@ -1,5 +1,7 @@
 # DynamicPPL.jl
 
+[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://turinglang.github.io/DynamicPPL.jl/stable)
+[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://turinglang.github.io/DynamicPPL.jl/dev)
 [![CI](https://github.com/TuringLang/DynamicPPL.jl/workflows/CI/badge.svg?branch=master)](https://github.com/TuringLang/DynamicPPL.jl/actions?query=workflow%3ACI+branch%3Amaster)
 [![JuliaNightly](https://github.com/TuringLang/DynamicPPL.jl/workflows/JuliaNightly/badge.svg?branch=master)](https://github.com/TuringLang/DynamicPPL.jl/actions?query=workflow%3AJuliaNightly+branch%3Amaster)
 [![IntegrationTest](https://github.com/TuringLang/DynamicPPL.jl/workflows/IntegrationTest/badge.svg?branch=master)](https://github.com/TuringLang/DynamicPPL.jl/actions?query=workflow%3AIntegrationTest+branch%3Amaster)

bors.toml

@@ -7,7 +7,8 @@ status = [
   "test (1, macOS-latest, x64, 2)",
   "test (1, windows-latest, x64, 2)",
   "Turing.jl",
-  "format"
+  "format",
+  "docs"
 ]
 delete_merged_branches = true
 # Require at least on approval of a project member.

docs/.gitignore

@@ -0,0 +1 @@
+build/

docs/Project.toml

@@ -0,0 +1,9 @@
+[deps]
+Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
+Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
+StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
+
+[compat]
+Distributions = "0.25"
+Documenter = "0.27"
+StableRNGs = "1"

docs/make.jl

@@ -0,0 +1,24 @@
+using Documenter
+using DynamicPPL
+
+# Doctest setup
+DocMeta.setdocmeta!(DynamicPPL, :DocTestSetup, :(using DynamicPPL); recursive=true)
+
+makedocs(;
+    sitename="DynamicPPL",
+    format=Documenter.HTML(),
+    modules=[DynamicPPL],
+    pages=["Home" => "index.md"],
+    strict=true,
+    checkdocs=:exports,
+    doctestfilters=[
+        # Older versions will show "0 element Array" instead of "Type[]".
+        r"(Any\[\]|0-element Array{.+,[0-9]+})",
+        # Older versions will show "Array{...,1}" instead of "Vector{...}".
+        r"(Array{.+,\s?1}|Vector{.+})",
+        # Older versions will show "Array{...,2}" instead of "Matrix{...}".
+        r"(Array{.+,\s?2}|Matrix{.+})",
+    ],
+)
+
+deploydocs(; repo="github.com/TuringLang/DynamicPPL.jl.git", push_preview=true)

docs/src/index.md

@@ -0,0 +1,5 @@
+# DynamicPPL
+
+```@autodocs
+Modules = [DynamicPPL]
+```

src/DynamicPPL.jl

@@ -118,6 +118,15 @@ export loglikelihood
 function getspace end
 
 # Necessary forward declarations
+"""
+    AbstractVarInfo
+
+Abstract supertype for data structures that capture random variables when executing a
+probabilistic model and accumulate log densities such as the log likelihood or the
+log joint probability of the model.
+
+See also: [`VarInfo`](@ref)
+"""
 abstract type AbstractVarInfo <: AbstractModelTrace end
 abstract type AbstractContext end
 

src/compiler.jl

@@ -34,7 +34,7 @@ function isassumption(expr::Union{Symbol,Expr})
                 #    as the default conditioning. Then we no longer need to check `inargnames`
                 #    since it will all be handled by `contextual_isassumption`.
                 if !($(DynamicPPL.inargnames)($vn, __model__)) ||
-                   $(DynamicPPL.inmissings)($vn, __model__)
+                    $(DynamicPPL.inmissings)($vn, __model__)
                     true
                 else
                     $(maybe_view(expr)) === missing

src/sampler.jl

@@ -1,9 +1,21 @@
 # TODO: Make `UniformSampling` and `Prior` algs + just use `Sampler`
 # That would let us use all defaults for Sampler, combine it with other samplers etc.
 """
-Robust initialization method for model parameters in Hamiltonian samplers.
+    SampleFromUniform
+
+Sampling algorithm that samples unobserved random variables from a uniform distribution.
+
+# References
+
+[Stan reference manual](https://mc-stan.org/docs/2_28/reference-manual/initialization.html#random-initial-values)
 """
 struct SampleFromUniform <: AbstractSampler end
+
+"""
+    SampleFromPrior
+
+Sampling algorithm that samples unobserved random variables from their prior distribution.
+"""
 struct SampleFromPrior <: AbstractSampler end
 
 getspace(::Union{SampleFromPrior,SampleFromUniform}) = ()
@@ -25,7 +37,7 @@ end
 Generic sampler type for inference algorithms of type `T` in DynamicPPL.
 
 `Sampler` should implement the AbstractMCMC interface, and in particular
-[`AbstractMCMC.step`](@ref). A default implementation of the initial sampling step is
+`AbstractMCMC.step`. A default implementation of the initial sampling step is
 provided that supports resuming sampling from a previous state and setting initial
 parameter values. It requires to overload [`loadstate`](@ref) and [`initialstep`](@ref)
 for loading previous states and actually performing the initial sampling step,

src/submodel_macro.jl

@@ -1,9 +1,117 @@
+"""
+    @submodel model
+
+Run a Turing `model` nested inside of a Turing model.
+
+The return value can be assigned to a variable.
+
+# Examples
+
+```jldoctest submodel; setup=:(using Distributions)
+julia> @model function demo1(x)
+           x ~ Normal()
+           return 1 + abs(x)
+       end;
+
+julia> @model function demo2(x, y)
+            a = @submodel demo1(x)
+            return y ~ Uniform(0, a)
+       end;
+```
+
+When we sample from the model `demo2(missing, 0.4)` random variable `x` will be sampled:
+```jldoctest submodel
+julia> vi = VarInfo(demo2(missing, 0.4));
+
+julia> @varname(x) in keys(vi)
+true
+```
+
+Variable `a` is not tracked since it can be computed from the random variable `x` that was
+tracked when running `demo1`:
+```jldoctest submodel
+julia> @varname(a) in keys(vi)
+false
+```
+
+We can check that the log joint probability of the model accumulated in `vi` is correct:
+
+```jldoctest submodel
+julia> x = vi[@varname(x)];
+
+julia> getlogp(vi) ≈ logpdf(Normal(), x) + logpdf(Uniform(0, 1 + abs(x)), 0.4)
+true
+```
+"""
 macro submodel(expr)
     return quote
         _evaluate($(esc(expr)), $(esc(:__varinfo__)), $(esc(:__context__)))
     end
 end
 
+"""
+    @submodel prefix model
+
+Run a Turing `model` nested inside of a Turing model and add "`prefix`." as a prefix
+to all random variables inside of the `model`.
+
+The prefix makes it possible to run the same Turing model multiple times while
+keeping track of all random variables correctly.
+
+The return value can be assigned to a variable.
+
+# Examples
+
+```jldoctest submodelprefix; setup=:(using Distributions)
+julia> @model function demo1(x)
+           x ~ Normal()
+           return 1 + abs(x)
+       end;
+
+julia> @model function demo2(x, y, z)
+            a = @submodel sub1 demo1(x)
+            b = @submodel sub2 demo1(y)
+            return z ~ Uniform(-a, b)
+       end;
+```
+
+When we sample from the model `demo2(missing, missing, 0.4)` random variables `sub1.x` and
+`sub2.x` will be sampled:
+```jldoctest submodelprefix
+julia> vi = VarInfo(demo2(missing, missing, 0.4));
+
+julia> @varname(var"sub1.x") in keys(vi)
+true
+
+julia> @varname(var"sub2.x") in keys(vi)
+true
+```
+
+Variables `a` and `b` are not tracked since they can be computed from the random variables `sub1.x` and
+`sub2.x` that were tracked when running `demo1`:
+```jldoctest submodelprefix
+julia> @varname(a) in keys(vi)
+false
+
+julia> @varname(b) in keys(vi)
+false
+```
+
+We can check that the log joint probability of the model accumulated in `vi` is correct:
+
+```jldoctest submodelprefix
+julia> sub1_x = vi[@varname(var"sub1.x")];
+
+julia> sub2_x = vi[@varname(var"sub2.x")];
+
+julia> logprior = logpdf(Normal(), sub1_x) + logpdf(Normal(), sub2_x);
+
+julia> loglikelihood = logpdf(Uniform(-1 - abs(sub1_x), 1 + abs(sub2_x)), 0.4);
+
+julia> getlogp(vi) ≈ logprior + loglikelihood
+true
+```
+"""
 macro submodel(prefix, expr)
     return quote
         _evaluate(

test/contexts.jl

@@ -222,7 +222,7 @@ end
                         @test hasvalue_nested(context, vn_child)
                         # Value should be the same as extracted above.
                         @test getvalue_nested(context, vn_child) ===
-                              get(val, getlens(vn_child))
+                            get(val, getlens(vn_child))
                     end
                 end
             end