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-rw-r--r--controller/fw/tools/freq_meas_test.c38
-rw-r--r--controller/fw/tools/freq_meas_test_runner.py39
2 files changed, 63 insertions, 14 deletions
diff --git a/controller/fw/tools/freq_meas_test.c b/controller/fw/tools/freq_meas_test.c
index 01b4963..df3e39d 100644
--- a/controller/fw/tools/freq_meas_test.c
+++ b/controller/fw/tools/freq_meas_test.c
@@ -1,4 +1,6 @@
+#include <stdint.h>
+#include <math.h>
#include <unistd.h>
#include <stdio.h>
#include <string.h>
@@ -13,7 +15,7 @@
void print_usage(void);
void print_usage() {
- fprintf(stderr, "Usage: freq_meas_test [test_data.bin]");
+ fprintf(stderr, "Usage: freq_meas_test [test_data.bin]\n");
}
int main(int argc, char **argv) {
@@ -46,6 +48,7 @@ int main(int argc, char **argv) {
return 2;
}
+ fprintf(stderr, "Reading %zd samples test data...", st.st_size/sizeof(float));
size_t nread = 0;
while (nread < st.st_size) {
ssize_t rc = read(fd, buf, st.st_size - nread);
@@ -54,41 +57,48 @@ int main(int argc, char **argv) {
continue;
if (rc < 0) {
- fprintf(stderr, "Error reading test data: %s\n", strerror(errno));
+ fprintf(stderr, "\nError reading test data: %s\n", strerror(errno));
return 2;
}
if (rc == 0) {
- fprintf(stderr, "Error reading test data: Unexpected end of file\n");
+ fprintf(stderr, "\nError reading test data: Unexpected end of file\n");
return 2;
}
nread += rc;
}
+ fprintf(stderr, " done.\n");
size_t n_samples = st.st_size / sizeof(float);
float *buf_f = (float *)buf;
- uint16_t *sim_adc_buf = calloc(sizeof(uint16_t), n_samples);
+ int16_t *sim_adc_buf = calloc(sizeof(int16_t), n_samples);
if (!sim_adc_buf) {
fprintf(stderr, "Error allocating memory\n");
return 2;
}
+ fprintf(stderr, "Converting and truncating test data...");
for (size_t i=0; i<n_samples; i++)
- sim_adc_buf[i] = 2048 + buf_f[i] * 2047;
+ /* Note on scaling: We can't simply scale by 0x8000 (1/2 full range) here. Our test data is nominally 1Vp-p but
+ * certain tests such as the interharmonics one can have some samples exceeding that range. */
+ sim_adc_buf[i] = buf_f[i] * (0x4000-1);
+ fprintf(stderr, " done.\n");
- for (size_t i=0; i<n_samples; i+=FMEAS_FFT_LEN) {
+ fprintf(stderr, "Starting simulation.\n");
- float out;
- int rc = adc_buf_measure_freq(sim_adc_buf + i, &out);
- if (rc) {
- fprintf(stderr, "Simulation error in iteration %zd at position %zd: %d\n", i/FMEAS_FFT_LEN, i, rc);
- return 3;
- }
+ size_t iterations = (n_samples-FMEAS_FFT_LEN)/(FMEAS_FFT_LEN/2);
+ for (size_t i=0; i<iterations; i++) {
- printf("%09zd %015f\n", i, out);
- }
+ fprintf(stderr, "Iteration %zd/%zd\n", i, iterations);
+ float res = NAN;
+ int rc = adc_buf_measure_freq(sim_adc_buf + i*(FMEAS_FFT_LEN/2), &res);
+ if (rc)
+ printf("ERROR: Simulation error in iteration %zd at position %zd: %d\n", i, i*(FMEAS_FFT_LEN/2), rc);
+ printf("%09zd %12f\n", i, res);
+ }
+
return 0;
}
diff --git a/controller/fw/tools/freq_meas_test_runner.py b/controller/fw/tools/freq_meas_test_runner.py
new file mode 100644
index 0000000..779922a
--- /dev/null
+++ b/controller/fw/tools/freq_meas_test_runner.py
@@ -0,0 +1,39 @@
+#!/usr/bin/env python3
+
+import os
+from os import path
+import subprocess
+import json
+
+import numpy as np
+np.set_printoptions(linewidth=240)
+
+
+if __name__ == '__main__':
+ import argparse
+ parser = argparse.ArgumentParser()
+ parser.add_argument(metavar='test_data_directory', dest='dir', help='Directory with test data .bin files')
+ default_binary = path.abspath(path.join(path.dirname(__file__), '../build/tools/freq_meas_test'))
+ parser.add_argument(metavar='test_binary', dest='binary', nargs='?', default=default_binary)
+ parser.add_argument('-d', '--dump', help='Write raw measurements to JSON file')
+ args = parser.parse_args()
+
+ bin_files = [ path.join(args.dir, d) for d in os.listdir(args.dir) if d.lower().endswith('.bin') ]
+
+ savedata = {}
+ for p in bin_files:
+ output = subprocess.check_output([args.binary, p], stderr=subprocess.DEVNULL)
+ measurements = np.array([ float(value) for _offset, value in [ line.split() for line in output.splitlines() ] ])
+ savedata[p] = list(measurements)
+
+ # Cut off first and last sample for mean and RMS calculations as these show boundary effects.
+ measurements = measurements[1:-1]
+ mean = np.mean(measurements)
+ rms = np.sqrt(np.mean(np.square(measurements - mean)))
+
+ print(f'{path.basename(p):<60}: mean={mean:<8.4f}Hz rms={rms*1000:.3f}mHz')
+
+ if args.dump:
+ with open(args.dump, 'w') as f:
+ json.dump(savedata, f)
+