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192 lines
6.2 KiB
192 lines
6.2 KiB
// a transform stream is a readable/writable stream where you do
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// something with the data. Sometimes it's called a "filter",
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// but that's not a great name for it, since that implies a thing where
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// some bits pass through, and others are simply ignored. (That would
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// be a valid example of a transform, of course.)
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//
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// While the output is causally related to the input, it's not a
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// necessarily symmetric or synchronous transformation. For example,
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// a zlib stream might take multiple plain-text writes(), and then
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// emit a single compressed chunk some time in the future.
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//
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// Here's how this works:
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//
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// The Transform stream has all the aspects of the readable and writable
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// stream classes. When you write(chunk), that calls _write(chunk,cb)
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// internally, and returns false if there's a lot of pending writes
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// buffered up. When you call read(), that calls _read(n) until
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// there's enough pending readable data buffered up.
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//
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// In a transform stream, the written data is placed in a buffer. When
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// _read(n) is called, it transforms the queued up data, calling the
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// buffered _write cb's as it consumes chunks. If consuming a single
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// written chunk would result in multiple output chunks, then the first
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// outputted bit calls the readcb, and subsequent chunks just go into
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// the read buffer, and will cause it to emit 'readable' if necessary.
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//
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// This way, back-pressure is actually determined by the reading side,
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// since _read has to be called to start processing a new chunk. However,
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// a pathological inflate type of transform can cause excessive buffering
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// here. For example, imagine a stream where every byte of input is
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// interpreted as an integer from 0-255, and then results in that many
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// bytes of output. Writing the 4 bytes {ff,ff,ff,ff} would result in
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// 1kb of data being output. In this case, you could write a very small
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// amount of input, and end up with a very large amount of output. In
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// such a pathological inflating mechanism, there'd be no way to tell
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// the system to stop doing the transform. A single 4MB write could
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// cause the system to run out of memory.
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//
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// However, even in such a pathological case, only a single written chunk
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// would be consumed, and then the rest would wait (un-transformed) until
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// the results of the previous transformed chunk were consumed.
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'use strict';
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module.exports = Transform;
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const Duplex = require('_stream_duplex');
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const util = require('util');
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util.inherits(Transform, Duplex);
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function TransformState(stream) {
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this.afterTransform = function(er, data) {
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return afterTransform(stream, er, data);
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};
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this.needTransform = false;
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this.transforming = false;
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this.writecb = null;
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this.writechunk = null;
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}
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function afterTransform(stream, er, data) {
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var ts = stream._transformState;
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ts.transforming = false;
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var cb = ts.writecb;
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if (!cb)
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return stream.emit('error', new Error('no writecb in Transform class'));
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ts.writechunk = null;
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ts.writecb = null;
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if (data !== null && data !== undefined)
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stream.push(data);
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if (cb)
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cb(er);
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var rs = stream._readableState;
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rs.reading = false;
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if (rs.needReadable || rs.length < rs.highWaterMark) {
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stream._read(rs.highWaterMark);
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}
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}
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function Transform(options) {
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if (!(this instanceof Transform))
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return new Transform(options);
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Duplex.call(this, options);
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this._transformState = new TransformState(this);
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// when the writable side finishes, then flush out anything remaining.
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var stream = this;
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// start out asking for a readable event once data is transformed.
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this._readableState.needReadable = true;
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// we have implemented the _read method, and done the other things
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// that Readable wants before the first _read call, so unset the
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// sync guard flag.
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this._readableState.sync = false;
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if (options) {
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if (typeof options.transform === 'function')
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this._transform = options.transform;
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if (typeof options.flush === 'function')
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this._flush = options.flush;
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}
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this.once('prefinish', function() {
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if (typeof this._flush === 'function')
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this._flush(function(er) {
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done(stream, er);
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});
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else
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done(stream);
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});
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}
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Transform.prototype.push = function(chunk, encoding) {
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this._transformState.needTransform = false;
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return Duplex.prototype.push.call(this, chunk, encoding);
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};
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// This is the part where you do stuff!
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// override this function in implementation classes.
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// 'chunk' is an input chunk.
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//
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// Call `push(newChunk)` to pass along transformed output
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// to the readable side. You may call 'push' zero or more times.
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//
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// Call `cb(err)` when you are done with this chunk. If you pass
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// an error, then that'll put the hurt on the whole operation. If you
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// never call cb(), then you'll never get another chunk.
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Transform.prototype._transform = function(chunk, encoding, cb) {
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throw new Error('Not implemented');
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};
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Transform.prototype._write = function(chunk, encoding, cb) {
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var ts = this._transformState;
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ts.writecb = cb;
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ts.writechunk = chunk;
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ts.writeencoding = encoding;
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if (!ts.transforming) {
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var rs = this._readableState;
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if (ts.needTransform ||
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rs.needReadable ||
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rs.length < rs.highWaterMark)
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this._read(rs.highWaterMark);
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}
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};
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// Doesn't matter what the args are here.
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// _transform does all the work.
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// That we got here means that the readable side wants more data.
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Transform.prototype._read = function(n) {
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var ts = this._transformState;
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if (ts.writechunk !== null && ts.writecb && !ts.transforming) {
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ts.transforming = true;
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this._transform(ts.writechunk, ts.writeencoding, ts.afterTransform);
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} else {
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// mark that we need a transform, so that any data that comes in
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// will get processed, now that we've asked for it.
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ts.needTransform = true;
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}
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};
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function done(stream, er) {
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if (er)
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return stream.emit('error', er);
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// if there's nothing in the write buffer, then that means
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// that nothing more will ever be provided
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var ws = stream._writableState;
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var ts = stream._transformState;
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if (ws.length)
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throw new Error('Calling transform done when ws.length != 0');
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if (ts.transforming)
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throw new Error('Calling transform done when still transforming');
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return stream.push(null);
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}
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