165 lines
5.6 KiB
Julia
165 lines
5.6 KiB
Julia
# This file is a part of Julia. License is MIT: https://julialang.org/license
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module Resolve
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include(joinpath("resolve", "versionweight.jl"))
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include(joinpath("resolve", "interface.jl"))
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include(joinpath("resolve", "maxsum.jl"))
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using ..Types, ..Query, .PkgToMaxSumInterface, .MaxSum
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import ...Pkg.PkgError
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export resolve, sanity_check
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# Use the max-sum algorithm to resolve packages dependencies
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function resolve(reqs::Requires, deps::Dict{String,Dict{VersionNumber,Available}})
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# init interface structures
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interface = Interface(reqs, deps)
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# attempt trivial solution first
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ok, sol = greedysolver(interface)
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if !ok
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# trivial solution failed, use maxsum solver
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graph = Graph(interface)
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msgs = Messages(interface, graph)
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try
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sol = maxsum(graph, msgs)
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catch err
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isa(err, UnsatError) || rethrow(err)
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p = interface.pkgs[err.info]
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# TODO: build tools to analyze the problem, and suggest to use them here.
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msg =
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"""
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resolve is unable to satisfy package requirements.
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The problem was detected when trying to find a feasible version
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for package $p.
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However, this only means that package $p is involved in an
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unsatisfiable or difficult dependency relation, and the root of
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the problem may be elsewhere.
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"""
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if msgs.num_nondecimated != graph.np
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msg *= """
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(you may try increasing the value of the JULIA_PKGRESOLVE_ACCURACY
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environment variable)
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"""
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end
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## info("ERROR MESSAGE:\n" * msg)
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throw(PkgError(msg))
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end
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# verify solution (debug code) and enforce its optimality
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@assert verify_solution(sol, interface)
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enforce_optimality!(sol, interface)
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@assert verify_solution(sol, interface)
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end
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# return the solution as a Dict mapping package_name => sha1
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return compute_output_dict(sol, interface)
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end
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# Scan dependencies for (explicit or implicit) contradictions
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function sanity_check(deps::Dict{String,Dict{VersionNumber,Available}},
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pkgs::Set{String} = Set{String}())
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isempty(pkgs) || (deps = Query.undirected_dependencies_subset(deps, pkgs))
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deps, eq_classes = Query.prune_versions(deps)
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ndeps = Dict{String,Dict{VersionNumber,Int}}()
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for (p,depsp) in deps
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ndeps[p] = ndepsp = Dict{VersionNumber,Int}()
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for (vn,a) in depsp
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ndepsp[vn] = length(a.requires)
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end
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end
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vers = [(p,vn) for (p,d) in deps for vn in keys(d)]
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sort!(vers, by=pvn->(-ndeps[pvn[1]][pvn[2]]))
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nv = length(vers)
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svdict = Dict{Tuple{String,VersionNumber},Int}(vers[i][1:2]=>i for i = 1:nv)
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checked = falses(nv)
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problematic = Vector{Tuple{String,VersionNumber,String}}(0)
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i = 1
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for (p,vn) in vers
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ndeps[p][vn] == 0 && break
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checked[i] && (i += 1; continue)
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fixed = Dict{String,Fixed}(p=>Fixed(vn, deps[p][vn].requires), "julia"=>Fixed(VERSION))
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sub_reqs = Dict{String,VersionSet}()
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bktrc = Query.init_resolve_backtrace(sub_reqs, fixed)
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Query.propagate_fixed!(sub_reqs, bktrc, fixed)
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sub_deps = Query.dependencies_subset(deps, Set{String}([p]))
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sub_deps, conflicts = Query.dependencies(sub_deps, fixed)
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try
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for pkg in keys(sub_reqs)
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if !haskey(sub_deps, pkg)
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if "julia" in conflicts[pkg]
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throw(PkgError("$pkg can't be installed because it has no versions that support $VERSION " *
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"of julia. You may need to update METADATA by running `Pkg.update()`"))
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else
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sconflicts = join(conflicts[pkg], ", ", " and ")
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throw(PkgError("$pkg's requirements can't be satisfied because " *
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"of the following fixed packages: $sconflicts"))
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end
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end
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end
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Query.check_requirements(sub_reqs, sub_deps, fixed)
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sub_deps = Query.prune_dependencies(sub_reqs, sub_deps, bktrc)
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catch err
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isa(err, PkgError) || rethrow(err)
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## info("ERROR MESSAGE:\n" * err.msg)
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for vneq in eq_classes[p][vn]
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push!(problematic, (p, vneq, ""))
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end
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i += 1
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continue
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end
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interface = Interface(sub_reqs, sub_deps)
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red_pkgs = interface.pkgs
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red_np = interface.np
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red_spp = interface.spp
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red_pvers = interface.pvers
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ok, sol = greedysolver(interface)
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if !ok
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try
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graph = Graph(interface)
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msgs = Messages(interface, graph)
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sol = maxsum(graph, msgs)
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ok = verify_solution(sol, interface)
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@assert ok
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catch err
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isa(err, UnsatError) || rethrow(err)
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pp = red_pkgs[err.info]
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for vneq in eq_classes[p][vn]
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push!(problematic, (p, vneq, pp))
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end
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end
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end
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if ok
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for p0 = 1:red_np
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s0 = sol[p0]
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if s0 != red_spp[p0]
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j = svdict[(red_pkgs[p0], red_pvers[p0][s0])]
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checked[j] = true
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end
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end
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checked[i] = true
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end
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i += 1
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end
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return sort!(problematic)
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end
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end # module
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