Nim/compiler/modulegraphs.nim
cooldome 041d15392a Compiler plugin for implementing incremental computation in user space (#10819)
This plugin provides essential building block for implementing incremental computations in your programs. The idea behind incremental computations is that if you do the same calculation multiple times but with slightly different inputs you don't have to recompute everything from scratch. Also you don't want to adopt special algorithms either, you would like to write your code in standard from scratch manner and get incrementality for free when it is possible.

The plugin computes the digest of the proc bodies, recursively hashing all called procs as well . Such digest with the digest of the argument values gives a good "name" for the result. Terminology loosely follows paper "Incremental Computation with Names" link below. It works well if you have no side effects in your computations. If you have global state in your computations then you will need problem specific workarounds to represent global state in set of "names" . SideEffect tracking in Nim also useful in this topic.

Classical examples:

Dashboard with ticking data. New data arrives non stop and you would like to update the dashboard recomputing only changed outputs.
Excel spreadsheet where user changes one cell and you would like to recompute all cells that are affected by the change, but do not want to recompute every cell in the spreadsheet.
2019-04-11 23:09:11 +02:00

262 lines
10 KiB
Nim

#
#
# The Nim Compiler
# (c) Copyright 2017 Andreas Rumpf
#
# See the file "copying.txt", included in this
# distribution, for details about the copyright.
#
## This module implements the module graph data structure. The module graph
## represents a complete Nim project. Single modules can either be kept in RAM
## or stored in a Sqlite database.
##
## The caching of modules is critical for 'nimsuggest' and is tricky to get
## right. If module E is being edited, we need autocompletion (and type
## checking) for E but we don't want to recompile depending
## modules right away for faster turnaround times. Instead we mark the module's
## dependencies as 'dirty'. Let D be a dependency of E. If D is dirty, we
## need to recompile it and all of its dependencies that are marked as 'dirty'.
## 'nimsuggest sug' actually is invoked for the file being edited so we know
## its content changed and there is no need to compute any checksums.
## Instead of a recursive algorithm, we use an iterative algorithm:
##
## - If a module gets recompiled, its dependencies need to be updated.
## - Its dependent module stays the same.
##
import ast, intsets, tables, options, lineinfos, hashes, idents,
incremental, btrees, md5
type
SigHash* = distinct Md5Digest
ModuleGraph* = ref object
modules*: seq[PSym] ## indexed by int32 fileIdx
packageSyms*: TStrTable
deps*: IntSet # the dependency graph or potentially its transitive closure.
importDeps*: Table[FileIndex, seq[FileIndex]] # explicit import module dependencies
suggestMode*: bool # whether we are in nimsuggest mode or not.
invalidTransitiveClosure: bool
inclToMod*: Table[FileIndex, FileIndex] # mapping of include file to the
# first module that included it
importStack*: seq[FileIndex] # The current import stack. Used for detecting recursive
# module dependencies.
backend*: RootRef # minor hack so that a backend can extend this easily
config*: ConfigRef
cache*: IdentCache
vm*: RootRef # unfortunately the 'vm' state is shared project-wise, this will
# be clarified in later compiler implementations.
doStopCompile*: proc(): bool {.closure.}
usageSym*: PSym # for nimsuggest
owners*: seq[PSym]
methods*: seq[tuple[methods: seq[PSym], dispatcher: PSym]] # needs serialization!
systemModule*: PSym
sysTypes*: array[TTypeKind, PType]
compilerprocs*: TStrTable
exposed*: TStrTable
intTypeCache*: array[-5..64, PType]
opContains*, opNot*: PSym
emptyNode*: PNode
incr*: IncrementalCtx
canonTypes*: Table[SigHash, PType]
symBodyHashes*: Table[int, SigHash] # symId to digest mapping
importModuleCallback*: proc (graph: ModuleGraph; m: PSym, fileIdx: FileIndex): PSym {.nimcall.}
includeFileCallback*: proc (graph: ModuleGraph; m: PSym, fileIdx: FileIndex): PNode {.nimcall.}
recordStmt*: proc (graph: ModuleGraph; m: PSym; n: PNode) {.nimcall.}
cacheSeqs*: Table[string, PNode] # state that is shared to suppor the 'macrocache' API
cacheCounters*: Table[string, BiggestInt]
cacheTables*: Table[string, BTree[string, PNode]]
passes*: seq[TPass]
onDefinition*: proc (graph: ModuleGraph; s: PSym; info: TLineInfo) {.nimcall.}
onDefinitionResolveForward*: proc (graph: ModuleGraph; s: PSym; info: TLineInfo) {.nimcall.}
onUsage*: proc (graph: ModuleGraph; s: PSym; info: TLineInfo) {.nimcall.}
TPassContext* = object of RootObj # the pass's context
PPassContext* = ref TPassContext
TPassOpen* = proc (graph: ModuleGraph; module: PSym): PPassContext {.nimcall.}
TPassClose* = proc (graph: ModuleGraph; p: PPassContext, n: PNode): PNode {.nimcall.}
TPassProcess* = proc (p: PPassContext, topLevelStmt: PNode): PNode {.nimcall.}
TPass* = tuple[open: TPassOpen,
process: TPassProcess,
close: TPassClose,
isFrontend: bool]
const
cb64 = [
"A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N",
"O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z",
"a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n",
"o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z",
"0", "1", "2", "3", "4", "5", "6", "7", "8", "9a",
"9b", "9c"]
proc toBase64a(s: cstring, len: int): string =
## encodes `s` into base64 representation.
result = newStringOfCap(((len + 2) div 3) * 4)
result.add '_'
var i = 0
while i < len - 2:
let a = ord(s[i])
let b = ord(s[i+1])
let c = ord(s[i+2])
result.add cb64[a shr 2]
result.add cb64[((a and 3) shl 4) or ((b and 0xF0) shr 4)]
result.add cb64[((b and 0x0F) shl 2) or ((c and 0xC0) shr 6)]
result.add cb64[c and 0x3F]
inc(i, 3)
if i < len-1:
let a = ord(s[i])
let b = ord(s[i+1])
result.add cb64[a shr 2]
result.add cb64[((a and 3) shl 4) or ((b and 0xF0) shr 4)]
result.add cb64[((b and 0x0F) shl 2)]
elif i < len:
let a = ord(s[i])
result.add cb64[a shr 2]
result.add cb64[(a and 3) shl 4]
proc `$`*(u: SigHash): string =
toBase64a(cast[cstring](unsafeAddr u), sizeof(u))
proc `==`*(a, b: SigHash): bool =
result = equalMem(unsafeAddr a, unsafeAddr b, sizeof(a))
proc hash*(u: SigHash): Hash =
result = 0
for x in 0..3:
result = (result shl 8) or u.MD5Digest[x].int
proc hash*(x: FileIndex): Hash {.borrow.}
when defined(nimfind):
template onUse*(info: TLineInfo; s: PSym) =
when compiles(c.c.graph):
if c.c.graph.onUsage != nil: c.c.graph.onUsage(c.c.graph, s, info)
else:
if c.graph.onUsage != nil: c.graph.onUsage(c.graph, s, info)
template onDef*(info: TLineInfo; s: PSym) =
when compiles(c.c.graph):
if c.c.graph.onDefinition != nil: c.c.graph.onDefinition(c.c.graph, s, info)
else:
if c.graph.onDefinition != nil: c.graph.onDefinition(c.graph, s, info)
template onDefResolveForward*(info: TLineInfo; s: PSym) =
when compiles(c.c.graph):
if c.c.graph.onDefinitionResolveForward != nil:
c.c.graph.onDefinitionResolveForward(c.c.graph, s, info)
else:
if c.graph.onDefinitionResolveForward != nil:
c.graph.onDefinitionResolveForward(c.graph, s, info)
else:
template onUse*(info: TLineInfo; s: PSym) = discard
template onDef*(info: TLineInfo; s: PSym) = discard
template onDefResolveForward*(info: TLineInfo; s: PSym) = discard
proc stopCompile*(g: ModuleGraph): bool {.inline.} =
result = g.doStopCompile != nil and g.doStopCompile()
proc createMagic*(g: ModuleGraph; name: string, m: TMagic): PSym =
result = newSym(skProc, getIdent(g.cache, name), nil, unknownLineInfo(), {})
result.magic = m
proc newModuleGraph*(cache: IdentCache; config: ConfigRef): ModuleGraph =
result = ModuleGraph()
initStrTable(result.packageSyms)
result.deps = initIntSet()
result.importDeps = initTable[FileIndex, seq[FileIndex]]()
result.modules = @[]
result.importStack = @[]
result.inclToMod = initTable[FileIndex, FileIndex]()
result.config = config
result.cache = cache
result.owners = @[]
result.methods = @[]
initStrTable(result.compilerprocs)
initStrTable(result.exposed)
result.opNot = createMagic(result, "not", mNot)
result.opContains = createMagic(result, "contains", mInSet)
result.emptyNode = newNode(nkEmpty)
init(result.incr)
result.recordStmt = proc (graph: ModuleGraph; m: PSym; n: PNode) {.nimcall.} =
discard
result.cacheSeqs = initTable[string, PNode]()
result.cacheCounters = initTable[string, BiggestInt]()
result.cacheTables = initTable[string, BTree[string, PNode]]()
result.canonTypes = initTable[SigHash, PType]()
result.symBodyHashes = initTable[int, SigHash]()
proc resetAllModules*(g: ModuleGraph) =
initStrTable(g.packageSyms)
g.deps = initIntSet()
g.modules = @[]
g.importStack = @[]
g.inclToMod = initTable[FileIndex, FileIndex]()
g.usageSym = nil
g.owners = @[]
g.methods = @[]
initStrTable(g.compilerprocs)
initStrTable(g.exposed)
proc getModule*(g: ModuleGraph; fileIdx: FileIndex): PSym =
if fileIdx.int32 >= 0 and fileIdx.int32 < g.modules.len:
result = g.modules[fileIdx.int32]
proc dependsOn(a, b: int): int {.inline.} = (a shl 15) + b
proc addDep*(g: ModuleGraph; m: PSym, dep: FileIndex) =
assert m.position == m.info.fileIndex.int32
addModuleDep(g.incr, g.config, m.info.fileIndex, dep, isIncludeFile = false)
if g.suggestMode:
g.deps.incl m.position.dependsOn(dep.int)
# we compute the transitive closure later when quering the graph lazily.
# this improves efficiency quite a lot:
#invalidTransitiveClosure = true
proc addIncludeDep*(g: ModuleGraph; module, includeFile: FileIndex) =
addModuleDep(g.incr, g.config, module, includeFile, isIncludeFile = true)
discard hasKeyOrPut(g.inclToMod, includeFile, module)
proc parentModule*(g: ModuleGraph; fileIdx: FileIndex): FileIndex =
## returns 'fileIdx' if the file belonging to this index is
## directly used as a module or else the module that first
## references this include file.
if fileIdx.int32 >= 0 and fileIdx.int32 < g.modules.len and g.modules[fileIdx.int32] != nil:
result = fileIdx
else:
result = g.inclToMod.getOrDefault(fileIdx)
proc transitiveClosure(g: var IntSet; n: int) =
# warshall's algorithm
for k in 0..<n:
for i in 0..<n:
for j in 0..<n:
if i != j and not g.contains(i.dependsOn(j)):
if g.contains(i.dependsOn(k)) and g.contains(k.dependsOn(j)):
g.incl i.dependsOn(j)
proc markDirty*(g: ModuleGraph; fileIdx: FileIndex) =
let m = g.getModule fileIdx
if m != nil: incl m.flags, sfDirty
proc markClientsDirty*(g: ModuleGraph; fileIdx: FileIndex) =
# we need to mark its dependent modules D as dirty right away because after
# nimsuggest is done with this module, the module's dirty flag will be
# cleared but D still needs to be remembered as 'dirty'.
if g.invalidTransitiveClosure:
g.invalidTransitiveClosure = false
transitiveClosure(g.deps, g.modules.len)
# every module that *depends* on this file is also dirty:
for i in 0i32..<g.modules.len.int32:
let m = g.modules[i]
if m != nil and g.deps.contains(i.dependsOn(fileIdx.int)):
incl m.flags, sfDirty
proc isDirty*(g: ModuleGraph; m: PSym): bool =
result = g.suggestMode and sfDirty in m.flags