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ciphermask/development/ts-migration-dashboard/scripts/build-module-partitions.ts

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import fs from 'fs';
import path from 'path';
import fg from 'fast-glob';
import madge from 'madge';
import {
BASE_DIRECTORY,
ENTRYPOINT_PATTERNS,
FILES_TO_CONVERT_PATH,
} from './constants';
/**
* Represents a module that has been imported somewhere in the codebase.
*
* @property id - The name of a file or NPM module.
* @property dependents - The modules which are imported by this module.
* @property level - How many modules it takes to import this module (from the
* root of the dependency tree).
* @property isExternal - Whether the module refers to a NPM module.
* @property hasBeenConverted - Whether the module was one of the files we
* wanted to convert to TypeScript and has been converted.
*/
type Module = {
id: string;
dependents: Module[];
level: number;
isExternal: boolean;
hasBeenConverted: boolean;
};
/**
* Represents a set of modules that sit at a certain level within the final
* dependency tree.
*
* @property level - How many modules it takes to import this module (from the
* root of the dependency tree).
* @property children - The modules that share this same level.
* @property children[].name - The name of the item being imported.
* @property children[].hasBeenConverted - Whether or not the module (assuming
* that it is a file in our codebase) has been converted to TypeScript.
*/
export type ModulePartition = {
level: number;
children: {
name: string;
hasBeenConverted: boolean;
}[];
};
/**
* Uses the `madge` package to traverse the dependency graphs assembled from a
* set of entrypoints (a combination of the entrypoints that the build script
* uses to build the extension as well as a manually picked list), builds a
* combined dependency tree, then arranges the nodes of that tree by level,
* which is the number of files it takes to reach a file within the whole tree.
*
* @returns An array of objects which can be used to render the dashboard, where
* each object represents a group of files at a certain level in the dependency
* tree.
*/
export default async function buildModulePartitions(): Promise<
ModulePartition[]
> {
const allowedFilePaths = readFilesToConvert();
const possibleEntryFilePaths = (
await Promise.all(
ENTRYPOINT_PATTERNS.map((entrypointPattern) => {
return fg(
path.resolve(BASE_DIRECTORY, `${entrypointPattern}.{js,ts,tsx}`),
);
}),
)
).flat();
const entryFilePaths = filterFilePaths(
possibleEntryFilePaths.map((possibleEntrypoint) =>
path.relative(BASE_DIRECTORY, possibleEntrypoint),
),
allowedFilePaths,
);
const result = await madge(entryFilePaths, {
baseDir: BASE_DIRECTORY,
tsConfig: path.join(BASE_DIRECTORY, 'tsconfig.json'),
});
const dependenciesByFilePath = result.obj();
const modulesById = buildModulesWithLevels(
dependenciesByFilePath,
entryFilePaths,
allowedFilePaths,
);
return partitionModulesByLevel(modulesById);
}
/**
* Returns the contents of a JSON file that stores the names of the files that
* we plan on converting to TypeScript. All of the dependency information
* will be filtered through this list.
*/
function readFilesToConvert(): string[] {
try {
return JSON.parse(fs.readFileSync(FILES_TO_CONVERT_PATH, 'utf-8'));
} catch (error: unknown) {
throw new Error(
'Could not read or parse list of files to convert. ' +
'Have you tried running the following command?\n\n' +
' yarn ts-migration:enumerate\n\n' +
`Original error: ${error}`,
);
}
}
/**
* Filters the given set of file paths according to the given allow list. As the
* entry file paths could refer to TypeScript files, and the allow list is
* guaranteed to be JavaScript files, the entry file paths are normalized to end
* in `.js` before being filtered.
*
* @param filePaths - A set of file paths.
* @param allowedFilePaths - A set of allowed file paths.
* @returns The filtered file paths.
*/
function filterFilePaths(filePaths: string[], allowedFilePaths: string[]) {
return filePaths.filter((filePath) =>
allowedFilePaths.includes(filePath.replace(/\.tsx?$/u, '.js')),
);
}
/**
* This function takes a flat data structure that represents the dependency
* graph of a system. It traverses the graph, converting it to a tree (i.e.,
* resolving circular dependencies), but where any node of the tree is
* accessible immediately. The "level" of a dependency — how many other
* dependencies it takes to reach that dependency — is also recorded.
*
* @param dependenciesByModuleId - An object that maps a file path in the
* dependency graph to the dependencies that it imports. This information is
* provided by the `madge` package.
* @param entryModuleIds - File paths which will initiate the traversal through
* the dependency graph. These file paths will always be level 0.
* @param allowedFilePaths - The list of original JavaScript files to
* convert to TypeScript; governs which files will end up in the final
* dependency graph.
* @returns A data structure that maps the id of a module in the dependency
* graph to an object that represents that module.
*/
function buildModulesWithLevels(
dependenciesByModuleId: Record<string, string[]>,
entryModuleIds: string[],
allowedFilePaths: string[],
): Record<string, Module> {
// Our overall goal is that we want to partition the graph into different
// sections. We want to find the leaves of the graph — that is, files that
// depend on no other files — then the dependents of the leaves — those files
// that depend on the leaves — then the dependents of the dependents, etc. We
// can derive this information by traversing the graph, and for each module we
// encounter, recording the number of modules it takes to reach that module.
// We call this number the **level**.
//
// We will discuss a couple of optimizations we've made to ensure that graph
// traversal is performant.
//
// Naively, in order to calculate the level of each module, we need to follow
// that module's dependencies, then the dependencies of the dependencies,
// etc., until we hit leaves. Essentially, we need to follow each connection
// in the graph. However, this creates a performance problem, because in a
// large system a file could get imported multiple ways (this is the nature of
// a graph: each node can have multiple incoming connections and multiple
// outgoing connections). For instance:
//
// - `foo.js` could import `bar.js` which could import `baz.js`
// - `foo.js` could also import `baz.js` directly
// - `foo.js` could also import `bar.js` which imports `qux.js` which imports `baz.js`
//
// In this case, even if there are few modules in a system, a subset of those
// modules may be visited multiple times in the course of traversing
// connections between all of them. This is costly and unnecessary.
//
// To address this, as we are traversing the graph, we record modules we've
// visited along with the level when we visited it. If we encounter a module
// again through some other path, and the level this time is less than the
// level we've already recorded, then we know we don't need to revisit that
// module or — crucially — any of its dependencies. Therefore we can skip
// whole sections of the graph.
//
// In addition, in a large enough system, some files could import files that end
// up importing themselves later on:
//
// - `foo.js` could import `bar.js`, which imports `baz.js`, which imports `foo.js`, which...
//
// These are called circular dependencies, and we detect them by tracking the
// files that depend on a file (dependents) in addition to the files on which
// that file depends (dependencies). In the example above, `baz.js` has a
// dependency `foo.js`, and its chain of dependents is `bar.js` -> `foo.js`
// (working backward from `baz.js`). The chain of dependents of `baz.js`
// includes `foo.js`, so we say `foo.js` is a circular dependency of `baz.js`,
// and we don't need to follow it.
const modulesToFill: Module[] = entryModuleIds.map((moduleId) => {
return {
id: moduleId,
dependents: [],
level: 0,
isExternal: false,
hasBeenConverted: /\.tsx?$/u.test(moduleId),
};
});
const modulesById: Record<string, Module> = {};
while (modulesToFill.length > 0) {
const currentModule = modulesToFill.shift() as Module;
const childModulesToFill: Module[] = [];
(dependenciesByModuleId[currentModule.id] ?? []).forEach(
(givenChildModuleId) => {
const npmPackageMatch = givenChildModuleId.match(
/^node_modules\/(?:(@[^/]+)\/)?([^/]+)\/.+$/u,
);
let childModuleId;
if (npmPackageMatch) {
childModuleId =
npmPackageMatch[1] === undefined
? `${npmPackageMatch[2]}`
: `${npmPackageMatch[1]}/${npmPackageMatch[2]}`;
} else {
childModuleId = givenChildModuleId;
}
// Skip circular dependencies
if (
findDirectAndIndirectDependentIdsOf(currentModule).has(childModuleId)
) {
return;
}
// Skip files that weren't on the original list of JavaScript files to
// convert, as we don't want them to show up on the status dashboard
if (
!npmPackageMatch &&
!allowedFilePaths.includes(childModuleId.replace(/\.tsx?$/u, '.js'))
) {
return;
}
const existingChildModule = modulesById[childModuleId];
if (existingChildModule === undefined) {
const childModule: Module = {
id: childModuleId,
dependents: [currentModule],
level: currentModule.level + 1,
isExternal: Boolean(npmPackageMatch),
hasBeenConverted: /\.tsx?$/u.test(childModuleId),
};
childModulesToFill.push(childModule);
} else {
if (currentModule.level + 1 > existingChildModule.level) {
existingChildModule.level = currentModule.level + 1;
// Update descendant modules' levels
childModulesToFill.push(existingChildModule);
} else {
// There is no point in descending into dependencies of this module
// if the new level of the module would be <= the existing level,
// because all of the dependencies from this point on are guaranteed
// to have a higher level and are therefore already at the right
// level.
}
if (!existingChildModule.dependents.includes(currentModule)) {
existingChildModule.dependents.push(currentModule);
}
}
},
);
if (childModulesToFill.length > 0) {
modulesToFill.push(...childModulesToFill);
}
if (!(currentModule.id in modulesById)) {
modulesById[currentModule.id] = currentModule;
}
}
return modulesById;
}
/**
* Given a file in the dependency graph, returns all of the names of the files
* which import that file directly or through some other file.
*
* @param module - A module in the graph.
* @returns The ids of the modules which are incoming connections to
* the module.
*/
function findDirectAndIndirectDependentIdsOf(module: Module): Set<string> {
const modulesToProcess = [module];
const allDependentIds = new Set<string>();
while (modulesToProcess.length > 0) {
const currentModule = modulesToProcess.shift() as Module;
currentModule.dependents.forEach((dependent) => {
if (!allDependentIds.has(dependent.id)) {
allDependentIds.add(dependent.id);
modulesToProcess.push(dependent);
}
});
}
return allDependentIds;
}
/**
* Partitions modules in the dependency graph by level (see {@link buildModulesWithLevels}
* for an explanation). This will be used to render those modules on the
* dashboard in groups.
*
* @param modulesById - An object that maps the id of a module to an object that
* represents that module.
* @returns An array where each item represents a level and is the module ids
* that match that level, sorted by largest level (leaves) to smallest level
* (roots).
*/
function partitionModulesByLevel(
modulesById: Record<string, Module>,
): ModulePartition[] {
const levels = Object.values(modulesById).map((module) => module.level);
const maxLevel = Math.max(...levels);
const modulePartitions: ModulePartition[] = [];
for (let i = 0; i <= maxLevel; i++) {
modulePartitions[i] = { level: i + 1, children: [] };
}
Object.values(modulesById).forEach((module) => {
modulePartitions[module.level].children.push({
name: module.id,
hasBeenConverted: module.hasBeenConverted,
});
});
return modulePartitions.reverse();
}