Most of the time, we don't need to have a dynamic call sub graph, since the actual function call could be represented statically as it originally was before lambda functions were implemented. Simplifying the graph shape has important performance benefits in terms of both keep the graph smaller (memory, etc) and in avoiding the need to run transactions at runtime (speed) to reshape the graph. Co-authored-by: Samuel Gélineau <gelisam@gmail.com>
222 lines
8.2 KiB
Go
222 lines
8.2 KiB
Go
// Mgmt
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// Copyright (C) James Shubin and the project contributors
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// Written by James Shubin <james@shubin.ca> and the project contributors
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//
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// This program is free software: you can redistribute it and/or modify
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// it under the terms of the GNU General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// This program is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU General Public License
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// along with this program. If not, see <https://www.gnu.org/licenses/>.
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//
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// Additional permission under GNU GPL version 3 section 7
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//
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// If you modify this program, or any covered work, by linking or combining it
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// with embedded mcl code and modules (and that the embedded mcl code and
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// modules which link with this program, contain a copy of their source code in
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// the authoritative form) containing parts covered by the terms of any other
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// license, the licensors of this program grant you additional permission to
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// convey the resulting work. Furthermore, the licensors of this program grant
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// the original author, James Shubin, additional permission to update this
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// additional permission if he deems it necessary to achieve the goals of this
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// additional permission.
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package multi
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import (
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"fmt"
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"sort"
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docsUtil "github.com/purpleidea/mgmt/docs/util"
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"github.com/purpleidea/mgmt/lang/funcs"
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"github.com/purpleidea/mgmt/lang/funcs/wrapped"
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"github.com/purpleidea/mgmt/lang/interfaces"
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"github.com/purpleidea/mgmt/lang/types"
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unificationUtil "github.com/purpleidea/mgmt/lang/unification/util"
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"github.com/purpleidea/mgmt/util/errwrap"
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)
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// RegisteredFuncs maps a function name to the corresponding function scaffold.
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var RegisteredFuncs = make(map[string]*Scaffold) // must initialize
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// Info holds some information about this function.
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type Info struct {
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Pure bool // is the function pure? (can it be memoized?)
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Memo bool // should the function be memoized? (false if too much output)
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Fast bool // is the function slow? (avoid speculative execution)
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Spec bool // can we speculatively execute it? (true for most)
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}
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// Scaffold holds the necessary data to build a (possibly polymorphic) function
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// with this API.
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type Scaffold struct {
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// I is some general info about the function.
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I *Info
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// T is the type of the function. It can include unification variables.
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// At a minimum, this must be a `func(?1) ?2` as a naked `?1` is not
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// allowed. (TODO: Because of ArgGen.)
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T *types.Type
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// M is a build function to run after type unification. It will get
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// passed the solved type of this function. It should error if this is
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// not an acceptable option. On success, it should return the
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// implementing function to use. Of note, this API does not tell the
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// implementation what the correct return type should be. If it can't be
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// determined from the input types, then a different function API needs
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// to be used. XXX: Should we extend this here?
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M func(typ *types.Type) (interfaces.FuncSig, error)
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// D is the documentation handle for this function. We look on that
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// struct or function for the doc string.
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D interface{}
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}
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// Register registers a simple, static, pure, polymorphic function. It is easier
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// to use than the raw function API. It allows you to build and check a function
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// based on a type signature that contains unification variables. You may only
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// specify a single type signature with the API, so some complex patterns are
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// not possible with this API. Implementing a function like `printf` would not
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// be possible. Implementing a function which counts the number of elements in a
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// list would be.
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func Register(name string, scaffold *Scaffold) {
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if _, exists := RegisteredFuncs[name]; exists {
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panic(fmt.Sprintf("a simple polyfunc named %s is already registered", name))
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}
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if scaffold == nil {
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panic("no scaffold specified for simple polyfunc")
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}
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if scaffold.T == nil {
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panic("no type specified for simple polyfunc")
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}
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if scaffold.T.Kind != types.KindFunc {
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panic("type must be a func")
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}
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if scaffold.T.HasVariant() {
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panic("func contains a variant type signature")
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}
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if scaffold.M == nil {
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panic("no implementation specified for simple polyfunc")
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}
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RegisteredFuncs[name] = scaffold // store a copy for ourselves
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metadata, err := funcs.GetFunctionMetadata(scaffold.D)
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if err != nil {
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panic(fmt.Sprintf("could not locate function filename for %s", name))
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}
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funcInfo := &wrapped.Info{}
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if scaffold.I != nil {
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funcInfo = &wrapped.Info{
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Pure: scaffold.I.Pure,
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Memo: scaffold.I.Memo,
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Fast: scaffold.I.Fast,
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Spec: scaffold.I.Spec,
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}
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}
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// register a copy in the main function database
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funcs.Register(name, func() interfaces.Func {
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return &Func{
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Metadata: metadata,
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WrappedFunc: &wrapped.Func{
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Name: name,
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FuncInfo: funcInfo,
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// NOTE: It might be more correct to Copy here,
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// but we do the copy inside of ExprFunc.Copy()
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// instead, so that the same type can be unified
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// in more than one way. Doing it here wouldn't
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// be harmful, but it's an extra copy we don't
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// need to do AFAICT.
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Type: scaffold.T, // .Copy(),
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},
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Make: scaffold.M,
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}
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})
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}
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// ModuleRegister is exactly like Register, except that it registers within a
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// named module. This is a helper function.
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func ModuleRegister(module, name string, scaffold *Scaffold) {
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Register(module+funcs.ModuleSep+name, scaffold)
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}
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// WrappedFunc is a type alias so that we can embed `wrapped.Func` inside our
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// struct, since the Func name collides with our Func field name.
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type WrappedFunc = wrapped.Func
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var _ interfaces.BuildableFunc = &Func{} // ensure it meets this expectation
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// Func is a scaffolding function struct which fulfills the boiler-plate for the
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// function API, but that can run a very simple, static, pure, polymorphic
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// function. This function API is unique in that it lets you provide your own
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// `Make` builder function to create the function implementation.
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type Func struct {
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*docsUtil.Metadata
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*WrappedFunc // *wrapped.Func as a type alias to pull in the base impl.
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// Make is a build function to run after type unification. It will get
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// passed the solved type of this function. It should error if this is
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// not an acceptable option. On success, it should return the
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// implementing function to use. Of note, this API does not tell the
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// implementation what the correct return type should be. If it can't be
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// determined from the input types, then a different function API needs
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// to be used. XXX: Should we extend this here?
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Make func(typ *types.Type) (interfaces.FuncSig, error)
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}
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// Build is run to turn the maybe polymorphic, undetermined function, into the
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// specific statically typed version. It is usually run after unification
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// completes, and must be run before Info() and any of the other Func interface
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// methods are used.
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func (obj *Func) Build(typ *types.Type) (*types.Type, error) {
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// typ is the KindFunc signature we're trying to build...
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f, err := obj.Make(typ)
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if err != nil {
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return nil, errwrap.Wrapf(err, "can't build %s with %s", obj.Name, typ)
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}
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fn := &types.FuncValue{
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T: typ,
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V: f, // implementation
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}
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obj.Fn = fn
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return obj.Fn.T, nil
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}
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// TypeMatch accepts a map of possible type signatures to corresponding
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// implementing functions that we want to check against after type unification.
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// On success it returns the function who's corresponding signature matched.
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// This helper function returns a function which is suitable for use in the
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// scaffold make function field.
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func TypeMatch(m map[string]interfaces.FuncSig) func(*types.Type) (interfaces.FuncSig, error) {
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return func(typ *types.Type) (interfaces.FuncSig, error) {
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// sort for determinism in debugging
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keys := []string{}
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for k := range m {
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keys = append(keys, k)
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}
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sort.Strings(keys)
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for _, s := range keys {
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t := types.NewType(s)
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if t == nil {
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// TODO: should we panic?
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continue // skip
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}
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if unificationUtil.UnifyCmp(typ, t) == nil {
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return m[s], nil
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}
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}
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return nil, fmt.Errorf("did not match")
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}
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}
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