Imnplement plumbing, but it's all untested

rainfallwrangler/src/lib/RadarWrangler.mjs

@@ -0,0 +1,52 @@
+"use strict";
+
+class RadarWrangler {
+	/**
+	 * The total number of timesteps we need in the buffer before we can even consider generating a sample.
+	 * @return {number}
+	 */
+	get timesteps_required() {
+		return this.channel_pattern.reduce((next, total) => total + next, 0);
+	}
+	
+	constructor(channel_pattern, pooling_operator="max", time_step_interval = 300) {
+		this.channel_pattern = channel_pattern;
+		this.pooling_operator = pooling_operator;
+		
+		this.reader = new RadarReader(time_step_interval);
+	}
+	
+	async *iterate(filepath) {
+		const timestep_buffer = [];
+		for await(const next of this.reader.iterate(filepath)) {
+			timestep_buffer.push(next.data);
+			
+			const result = this.make_sample(timestep_buffer);
+			if(result == null) continue;
+			
+			yield result;
+			
+			timestep_buffer.shift();
+		}
+		
+		yield this.make_sample(timestep_buffer);
+	}
+	
+	make_sample(timestep_buffer) {
+		if(timestep_buffer.length < this.timesteps_required) return null;
+		
+		const grouped_timesteps = [];
+		let offset = 0;
+		for(const channel_timestep_count of this.channel_pattern) {
+			const acc = [];
+			for(let i = offset; i < channel_timestep_count+offset; i++) {
+				acc.push(timestep_buffer[i]);
+			}
+			
+			grouped_timesteps.push(array2d_pool(acc, this.pooling_operator));
+			offset += channel_timestep_count;
+		}
+	}
+}
+
+export default RadarWrangler;

rainfallwrangler/src/lib/io/RadarReader.mjs

@@ -17,15 +17,14 @@ import transpose from '../manip/array2d_transpose.mjs';
  * @param	{number}	time_step_interval	The nominal interval, in seconds, between time steps (default: 300 seconds)
  */
 class RadarReader {
-	constructor(in_stride = 1, do_interpolate = true, time_step_interval = 300) {
+	constructor(time_step_interval = 300, in_stride = 1, do_interpolate = true) {
 		this.time_step_interval = time_step_interval;
 		this.stride = in_stride;
 		this.do_interpolate = do_interpolate;
 		
-		this.writer_interp_stats = [];
+		// this.writer_interp_stats = [];
 	}
 	
-	
 	/**
 	 * An async iterator that yields rainfall radar objects in order.
 	 * Note that for a single RadarReader object, this method may be called
@@ -125,7 +124,7 @@ class RadarReader {
 				interpolation_percentage
 			);
 			
-			this.writer_interp_stats.push(next_timestamp);
+			// this.writer_interp_stats.push(next_timestamp);
 			
 			yield obj_interpolated;
 			

rainfallwrangler/src/lib/io/TFRecordWriter.mjs

@@ -0,0 +1,62 @@
+"use strict";
+
+import fs from 'fs';
+import path from 'path';
+
+import tfrecord from 'tfrecord-stream';
+
+class TFRecordWriter {
+	constructor(dirpath, count_per_file) {
+		this.dirpath = dirpath;
+		this.count_per_file = count_per_file;
+		
+		if(!fs.existsSync(dirpath))
+			fs.mkdirSync(dirpath);
+		
+		this.#builder = tfrecord.createBuilder();
+	}
+	
+	write(reader_radar, reader_water) {
+		// TODO: Shuffle stuff about in the *Python* data pipeline
+		
+		let writer = null;
+		let i = -1, i_file = 0, count_this_file = 0;
+		while(true) {
+			i++;
+			
+			// Start writing to a new file when necessary
+			if(writer == null || count_this_file > this.count_per_file) {
+				if(writer !== null) await writer.close();
+				const filepath_next = path.join(dirpath, `${i_file}.tfrecord`);
+				writer = await tfrecord.Writer.createFromStream(
+					fs.createWriteStream(filepath_next)
+				);
+				i_file++;
+			}
+			
+			const sample_radar = await reader_radar.next();
+			const sample_water = await reader_water.next();
+			
+			if(sample_radar.done || sample_water.done) break;
+			
+			const example_next = this.make_example(
+				sample_radar.value,
+				sample_water.value
+			);
+			
+			await writer.writeExample(example_next);
+		}
+		
+	}
+	
+	make_example(sample_radar, sample_water) {
+		this.#builder.setFloats("rainfallradar", sample_radar.flat());
+		this.#builder.setInteger("rainfallradar_width", sample_radar[0].length);
+		this.#builder.setFloats("waterdepth", sample_water.flat());
+		this.#builder.setInteger("waterdepth_width", sample_water[0].length);
+		
+		return this.#builder.releaseExample();
+	}
+}
+
+export default TFRecordWriter;

rainfallwrangler/src/lib/io/Terrain50StreamReader.mjs

@@ -11,19 +11,9 @@ import log from './lib/io/NamespacedLog.mjs'; const l = log("reader:terrain50str
 import array2d_classify_convert_bin from '../../manip/array2d_classify_convert_bin.mjs';
 
 class Terrain50StreamReader {	
-	/**
-	 * The tital number of timesteps we need in the buffer before we can even consider generating a sample.
-	 * @return {number}
-	 */
-	get timesteps_required() {
-		return this.channel_pattern.reduce((next, total) => total + next, 0);
-	}
-	
-	constructor(threshold, channel_pattern, pooling_operator="max", tolerant = false) {
+	constructor(threshold, tolerant = false) {
 		this.threshold = threshold;
-		this.channel_pattern = channel_pattern;
 		
-		this.pooling_operator = "max";
 		this.tolerant = tolerant;
 	}
 	
@@ -33,14 +23,12 @@ class Terrain50StreamReader {
 			gunzip()
 		), this.tolerant ? /\s+/ : " ");
 		
-		const timestep_buffer = [];
-		
 		let i = -1;
 		for await (const next of stream) {
 			i++;
-			// Skip the first few items, because we want to predict the next
-			// timestep after the rainfall radar data
-			if(i < this.temporal_depth)
+			// Skip the first few items, because we want to predict the water
+			// depth after the rainfall radar data
+			if(i < this.offset)
 				continue;
 			
 			const values_bin = array2d_classify_convert_bin(
@@ -48,31 +36,10 @@ class Terrain50StreamReader {
 				this.threshold
 			);
 			
-			timestep_buffer.push(values_bin);
 			// l.debug(`[DEBUG:Terrain50Stream] values_bin`, util.inspect(values_bin).substr(0, 500));
 			
-			const result = this.make_sample(timestep_buffer);
-			if(result == null) continue;
 			// l.debug(`[Terrain50Stream] Yielding tensor of shape`, values_bin.shape);
-			yield result;
-		}
-		
-		yield this.make_sample(timestep_buffer);
-	}
-	
-	make_sample(timestep_buffer) {
-		if(timestep_buffer.length < this.timesteps_required) return null;
-		
-		const grouped_timesteps = [];
-		let offset = 0;
-		for(const channel_timestep_count of this.channel_pattern) {
-			const acc = [];
-			for(let i = offset; i < channel_timestep_count+offset; i++) {
-				acc.push(timestep_buffer[i]);
-			}
-			
-			grouped_timesteps.push(array2d_pool(acc, this.pooling_operator));
-			offset += channel_timestep_count;
+			yield values_bin;
 		}
 	}
 }