unify the node filewatcher in sys.ts and server.ts
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2 changed files with 107 additions and 125 deletions
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@ -21,6 +21,12 @@ namespace ts {
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exit(exitCode?: number): void;
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}
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interface WatchedFile {
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fileName: string;
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callback: (fileName: string) => void;
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mtime: Date;
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}
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export interface FileWatcher {
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close(): void;
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}
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@ -193,7 +199,104 @@ namespace ts {
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const _path = require("path");
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const _os = require("os");
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const _process = require("process");
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class WatchedFileSet {
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private watchedFiles: WatchedFile[] = [];
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private nextFileToCheck = 0;
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private watchTimer: NodeJS.Timer;
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// average async stat takes about 30 microseconds
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// set chunk size to do 30 files in < 1 millisecond
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constructor(public interval = 2500, public chunkSize = 30) {
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}
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private static copyListRemovingItem<T>(item: T, list: T[]) {
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var copiedList: T[] = [];
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for (var i = 0, len = list.length; i < len; i++) {
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if (list[i] != item) {
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copiedList.push(list[i]);
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}
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}
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return copiedList;
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}
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private static getModifiedTime(fileName: string): Date {
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return _fs.statSync(fileName).mtime;
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}
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private poll(checkedIndex: number) {
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var watchedFile = this.watchedFiles[checkedIndex];
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if (!watchedFile) {
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return;
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}
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_fs.stat(watchedFile.fileName, (err: any, stats: any) => {
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if (err) {
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watchedFile.callback(watchedFile.fileName);
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}
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else if (watchedFile.mtime.getTime() !== stats.mtime.getTime()) {
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watchedFile.mtime = WatchedFileSet.getModifiedTime(watchedFile.fileName);
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watchedFile.callback(watchedFile.fileName);
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}
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});
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}
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// this implementation uses polling and
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// stat due to inconsistencies of fs.watch
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// and efficiency of stat on modern filesystems
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private startWatchTimer() {
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this.watchTimer = setInterval(() => {
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var count = 0;
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var nextToCheck = this.nextFileToCheck;
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var firstCheck = -1;
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while ((count < this.chunkSize) && (nextToCheck !== firstCheck)) {
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this.poll(nextToCheck);
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if (firstCheck < 0) {
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firstCheck = nextToCheck;
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}
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nextToCheck++;
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if (nextToCheck === this.watchedFiles.length) {
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nextToCheck = 0;
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}
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count++;
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}
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this.nextFileToCheck = nextToCheck;
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}, this.interval);
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}
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addFile(fileName: string, callback: (fileName: string) => void): WatchedFile {
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var file: WatchedFile = {
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fileName,
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callback,
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mtime: WatchedFileSet.getModifiedTime(fileName)
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};
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this.watchedFiles.push(file);
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if (this.watchedFiles.length === 1) {
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this.startWatchTimer();
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}
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return file;
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}
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removeFile(file: WatchedFile) {
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this.watchedFiles = WatchedFileSet.copyListRemovingItem(file, this.watchedFiles);
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}
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}
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// REVIEW: for now this implementation uses polling.
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// The advantage of polling is that it works reliably
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// on all os and with network mounted files.
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// For 90 referenced files, the average time to detect
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// changes is 2*msInterval (by default 5 seconds).
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// The overhead of this is .04 percent (1/2500) with
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// average pause of < 1 millisecond (and max
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// pause less than 1.5 milliseconds); question is
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// do we anticipate reference sets in the 100s and
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// do we care about waiting 10-20 seconds to detect
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// changes for large reference sets? If so, do we want
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// to increase the chunk size or decrease the interval
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// time dynamically to match the large reference set?
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var watchedFileSet = new WatchedFileSet();
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function isNode4OrLater(): Boolean {
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return parseInt(_process.version.charAt(1)) >= 4;
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@ -291,8 +394,7 @@ namespace ts {
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readFile,
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writeFile,
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watchFile: (fileName, callback) => {
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// Node 4.0 stablized the `fs.watch` function which avoids polling
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// Node 4.0 stablized the `fs.watch` function on Windows which avoids polling
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// and is more efficient than `fs.watchFile` (ref: https://github.com/nodejs/node/pull/2649
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// and https://github.com/Microsoft/TypeScript/issues/4643), therefore
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// if the current node.js version is newer than 4, use `fs.watch` instead.
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@ -300,19 +402,9 @@ namespace ts {
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return _fs.watch(fileName, (eventName: string, path: string) => callback(path));
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}
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// watchFile polls a file every 250ms, picking up file notifications.
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_fs.watchFile(fileName, { persistent: true, interval: 250 }, fileChanged);
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var watchedFile = watchedFileSet.addFile(fileName, callback);
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return {
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close() { _fs.unwatchFile(fileName, fileChanged); }
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};
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function fileChanged(curr: any, prev: any) {
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if (+curr.mtime <= +prev.mtime) {
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return;
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}
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callback(fileName);
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close: () => watchedFileSet.removeFile(watchedFile)
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}
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},
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resolvePath: function (path: string): string {
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@ -83,95 +83,6 @@ namespace ts.server {
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}
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}
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interface WatchedFile {
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fileName: string;
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callback: (fileName: string) => void;
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mtime: Date;
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}
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class WatchedFileSet {
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private watchedFiles: WatchedFile[] = [];
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private nextFileToCheck = 0;
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private watchTimer: NodeJS.Timer;
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// average async stat takes about 30 microseconds
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// set chunk size to do 30 files in < 1 millisecond
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constructor(public interval = 2500, public chunkSize = 30) {
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}
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private static copyListRemovingItem<T>(item: T, list: T[]) {
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var copiedList: T[] = [];
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for (var i = 0, len = list.length; i < len; i++) {
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if (list[i] != item) {
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copiedList.push(list[i]);
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}
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}
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return copiedList;
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}
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private static getModifiedTime(fileName: string): Date {
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return fs.statSync(fileName).mtime;
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}
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private poll(checkedIndex: number) {
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var watchedFile = this.watchedFiles[checkedIndex];
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if (!watchedFile) {
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return;
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}
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fs.stat(watchedFile.fileName,(err, stats) => {
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if (err) {
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watchedFile.callback(watchedFile.fileName);
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}
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else if (watchedFile.mtime.getTime() !== stats.mtime.getTime()) {
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watchedFile.mtime = WatchedFileSet.getModifiedTime(watchedFile.fileName);
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watchedFile.callback(watchedFile.fileName);
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}
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});
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}
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// this implementation uses polling and
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// stat due to inconsistencies of fs.watch
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// and efficiency of stat on modern filesystems
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private startWatchTimer() {
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this.watchTimer = setInterval(() => {
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var count = 0;
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var nextToCheck = this.nextFileToCheck;
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var firstCheck = -1;
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while ((count < this.chunkSize) && (nextToCheck !== firstCheck)) {
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this.poll(nextToCheck);
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if (firstCheck < 0) {
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firstCheck = nextToCheck;
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}
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nextToCheck++;
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if (nextToCheck === this.watchedFiles.length) {
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nextToCheck = 0;
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}
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count++;
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}
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this.nextFileToCheck = nextToCheck;
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}, this.interval);
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}
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addFile(fileName: string, callback: (fileName: string) => void ): WatchedFile {
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var file: WatchedFile = {
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fileName,
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callback,
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mtime: WatchedFileSet.getModifiedTime(fileName)
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};
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this.watchedFiles.push(file);
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if (this.watchedFiles.length === 1) {
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this.startWatchTimer();
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}
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return file;
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}
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removeFile(file: WatchedFile) {
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this.watchedFiles = WatchedFileSet.copyListRemovingItem(file, this.watchedFiles);
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}
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}
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class IOSession extends Session {
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constructor(host: ServerHost, logger: ts.server.Logger) {
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super(host, Buffer.byteLength, process.hrtime, logger);
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@ -243,28 +154,7 @@ namespace ts.server {
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// TODO: check that this location is writable
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var logger = createLoggerFromEnv();
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// REVIEW: for now this implementation uses polling.
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// The advantage of polling is that it works reliably
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// on all os and with network mounted files.
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// For 90 referenced files, the average time to detect
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// changes is 2*msInterval (by default 5 seconds).
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// The overhead of this is .04 percent (1/2500) with
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// average pause of < 1 millisecond (and max
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// pause less than 1.5 milliseconds); question is
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// do we anticipate reference sets in the 100s and
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// do we care about waiting 10-20 seconds to detect
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// changes for large reference sets? If so, do we want
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// to increase the chunk size or decrease the interval
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// time dynamically to match the large reference set?
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var watchedFileSet = new WatchedFileSet();
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ts.sys.watchFile = function (fileName, callback) {
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var watchedFile = watchedFileSet.addFile(fileName, callback);
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return {
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close: () => watchedFileSet.removeFile(watchedFile)
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}
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};
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var ioSession = new IOSession(ts.sys, logger);
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process.on('uncaughtException', function(err: Error) {
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ioSession.logError(err, "unknown");
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