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https://github.com/sbrl/research-rainfallradar
synced 2024-11-04 17:13:02 +00:00
Imnplement plumbing, but it's all untested
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4 changed files with 123 additions and 43 deletions
52
rainfallwrangler/src/lib/RadarWrangler.mjs
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52
rainfallwrangler/src/lib/RadarWrangler.mjs
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@ -0,0 +1,52 @@
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"use strict";
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class RadarWrangler {
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/**
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* The total number of timesteps we need in the buffer before we can even consider generating a sample.
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* @return {number}
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*/
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get timesteps_required() {
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return this.channel_pattern.reduce((next, total) => total + next, 0);
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}
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constructor(channel_pattern, pooling_operator="max", time_step_interval = 300) {
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this.channel_pattern = channel_pattern;
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this.pooling_operator = pooling_operator;
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this.reader = new RadarReader(time_step_interval);
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}
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async *iterate(filepath) {
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const timestep_buffer = [];
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for await(const next of this.reader.iterate(filepath)) {
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timestep_buffer.push(next.data);
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const result = this.make_sample(timestep_buffer);
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if(result == null) continue;
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yield result;
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timestep_buffer.shift();
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}
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yield this.make_sample(timestep_buffer);
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}
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make_sample(timestep_buffer) {
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if(timestep_buffer.length < this.timesteps_required) return null;
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const grouped_timesteps = [];
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let offset = 0;
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for(const channel_timestep_count of this.channel_pattern) {
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const acc = [];
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for(let i = offset; i < channel_timestep_count+offset; i++) {
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acc.push(timestep_buffer[i]);
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}
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grouped_timesteps.push(array2d_pool(acc, this.pooling_operator));
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offset += channel_timestep_count;
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}
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}
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}
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export default RadarWrangler;
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@ -17,15 +17,14 @@ import transpose from '../manip/array2d_transpose.mjs';
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* @param {number} time_step_interval The nominal interval, in seconds, between time steps (default: 300 seconds)
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*/
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class RadarReader {
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constructor(in_stride = 1, do_interpolate = true, time_step_interval = 300) {
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constructor(time_step_interval = 300, in_stride = 1, do_interpolate = true) {
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this.time_step_interval = time_step_interval;
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this.stride = in_stride;
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this.do_interpolate = do_interpolate;
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this.writer_interp_stats = [];
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// this.writer_interp_stats = [];
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}
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/**
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* An async iterator that yields rainfall radar objects in order.
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* Note that for a single RadarReader object, this method may be called
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@ -125,7 +124,7 @@ class RadarReader {
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interpolation_percentage
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);
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this.writer_interp_stats.push(next_timestamp);
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// this.writer_interp_stats.push(next_timestamp);
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yield obj_interpolated;
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62
rainfallwrangler/src/lib/io/TFRecordWriter.mjs
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rainfallwrangler/src/lib/io/TFRecordWriter.mjs
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"use strict";
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import fs from 'fs';
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import path from 'path';
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import tfrecord from 'tfrecord-stream';
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class TFRecordWriter {
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constructor(dirpath, count_per_file) {
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this.dirpath = dirpath;
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this.count_per_file = count_per_file;
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if(!fs.existsSync(dirpath))
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fs.mkdirSync(dirpath);
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this.#builder = tfrecord.createBuilder();
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}
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write(reader_radar, reader_water) {
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// TODO: Shuffle stuff about in the *Python* data pipeline
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let writer = null;
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let i = -1, i_file = 0, count_this_file = 0;
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while(true) {
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i++;
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// Start writing to a new file when necessary
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if(writer == null || count_this_file > this.count_per_file) {
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if(writer !== null) await writer.close();
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const filepath_next = path.join(dirpath, `${i_file}.tfrecord`);
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writer = await tfrecord.Writer.createFromStream(
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fs.createWriteStream(filepath_next)
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);
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i_file++;
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}
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const sample_radar = await reader_radar.next();
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const sample_water = await reader_water.next();
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if(sample_radar.done || sample_water.done) break;
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const example_next = this.make_example(
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sample_radar.value,
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sample_water.value
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);
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await writer.writeExample(example_next);
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}
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}
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make_example(sample_radar, sample_water) {
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this.#builder.setFloats("rainfallradar", sample_radar.flat());
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this.#builder.setInteger("rainfallradar_width", sample_radar[0].length);
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this.#builder.setFloats("waterdepth", sample_water.flat());
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this.#builder.setInteger("waterdepth_width", sample_water[0].length);
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return this.#builder.releaseExample();
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}
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}
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export default TFRecordWriter;
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@ -10,20 +10,10 @@ import log from './lib/io/NamespacedLog.mjs'; const l = log("reader:terrain50str
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import array2d_classify_convert_bin from '../../manip/array2d_classify_convert_bin.mjs';
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class Terrain50StreamReader {
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/**
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* The tital number of timesteps we need in the buffer before we can even consider generating a sample.
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* @return {number}
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*/
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get timesteps_required() {
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return this.channel_pattern.reduce((next, total) => total + next, 0);
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}
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constructor(threshold, channel_pattern, pooling_operator="max", tolerant = false) {
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class Terrain50StreamReader {
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constructor(threshold, tolerant = false) {
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this.threshold = threshold;
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this.channel_pattern = channel_pattern;
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this.pooling_operator = "max";
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this.tolerant = tolerant;
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}
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@ -33,14 +23,12 @@ class Terrain50StreamReader {
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gunzip()
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), this.tolerant ? /\s+/ : " ");
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const timestep_buffer = [];
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let i = -1;
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for await (const next of stream) {
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i++;
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// Skip the first few items, because we want to predict the next
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// timestep after the rainfall radar data
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if(i < this.temporal_depth)
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// Skip the first few items, because we want to predict the water
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// depth after the rainfall radar data
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if(i < this.offset)
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continue;
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const values_bin = array2d_classify_convert_bin(
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this.threshold
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);
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timestep_buffer.push(values_bin);
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// l.debug(`[DEBUG:Terrain50Stream] values_bin`, util.inspect(values_bin).substr(0, 500));
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const result = this.make_sample(timestep_buffer);
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if(result == null) continue;
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// l.debug(`[Terrain50Stream] Yielding tensor of shape`, values_bin.shape);
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yield result;
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}
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yield this.make_sample(timestep_buffer);
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}
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make_sample(timestep_buffer) {
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if(timestep_buffer.length < this.timesteps_required) return null;
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const grouped_timesteps = [];
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let offset = 0;
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for(const channel_timestep_count of this.channel_pattern) {
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const acc = [];
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for(let i = offset; i < channel_timestep_count+offset; i++) {
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acc.push(timestep_buffer[i]);
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}
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grouped_timesteps.push(array2d_pool(acc, this.pooling_operator));
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offset += channel_timestep_count;
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yield values_bin;
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}
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}
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}
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