View content of databuffer for multiple SP.

test/py/control/view_data_buffer.py

+#! /usr/bin/env python3
+
+# ##########################################################################
+# Copyright 2023
+# ASTRON (Netherlands Institute for Radio Astronomy) <http://www.astron.nl/>
+# P.O.Box 2, 7990 AA Dwingeloo, The Netherlands
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ##########################################################################
+
+# ##########################################################################
+# Author:
+# . Eric Kooistra
+# Purpose:
+# . Read data buffer file
+# Description:
+# . Capture signal input data buffer:
+#   sdp_rw.py --host 10.151.255.1 --port 4842 -r signal_input_data_buffer > x.txt
+# . The data has format [4, 12*1024](int16)
+# . Print first data of each signal input to see their alignment, in case
+#   ADC is setup to output synchronized test sequence.
+# ##########################################################################
+
+import argparse
+import numpy as np
+
+# Parse arguments to derive user parameters
+_parser = argparse.ArgumentParser('view_data_buffer')
+_parser.add_argument('-f', default='x.txt', type=str, help='Filename')
+args = _parser.parse_args()
+
+# Read data captured with sdp_rw.py -r signal_input_data_buffer
+with open(args.f, "r") as fp:
+    fileLines = fp.readlines()
+
+# Parse x.txt into signal_inputs array
+N_pn = len(fileLines) - 1
+S_pn = 12
+S_adc = N_pn * S_pn
+N_points = 1024
+shape = (N_pn * S_pn, N_points)
+signal_inputs = np.zeros(shape, np.int16)
+for li, line in enumerate(fileLines):
+    # skip first line
+    ni = li - 1
+    if ni >= 0:
+        data = line.split(':')[1]
+        data = data.split()
+        for si in range(S_pn):
+            for di in range(N_points):
+                signal_inputs[ni * S_pn + si][di] = data[si * N_points + di]
+
+# Print first data for each signal input
+for si in range(S_adc):
+    print('%2d : %s' % (si, signal_inputs[si][9:15]))