add extremely simple regression testing script

.gitignore

@@ -11,7 +11,7 @@
 *.out.*
 *.lisp
 *.org
-*.py
+# *.py
 *.json
 /.gdb_history
 

reg.py

@@ -0,0 +1,61 @@
+# Script to check performance on images in given folder and prevent regression testing
+# Go over all images in some folder and check performance, log it to stdout (for now)
+# TODO: figure out some storage plan
+
+# CLI:
+# test directory name, output log name
+# (optional) attitude estimator
+
+import subprocess
+import argparse
+import os
+import datetime
+
+parser = argparse.ArgumentParser()
+parser.add_argument("test_dir", type=str)
+parser.add_argument("log", type=str, default="log.txt")
+parser.add_argument("-att_estimator", type=str, nargs="?", default="dqm")
+args = parser.parse_args()
+
+print(f"Testing images in {args.test_dir}")
+print(f"attitude estimator: {args.att_estimator}")
+print(f"Logging outputs to {args.log}")
+
+
+def get_diff(expected, actual):
+    """Get element-wise angle difference between expected and actual (what we got)"""
+    return [expected[i] - actual[i] for i in range(len(actual))]
+
+
+output_log = open(args.log, "a+")  # append to end of log, don't overwrite
+for img_name in os.listdir(args.test_dir):
+    cmd = (
+        f"./lost pipeline \
+      --png {img_name} \
+      --fov 17 \
+      --centroid-algo cog \
+      --centroid-filter-brightest 6 \
+      --star-id-algo tetra \
+      --database tetra-algo-12.dat \
+      --false-stars 0 \
+      --attitude-algo {args.att_estimator} \
+      --print-attitude attitude.txt \
+      --plot-output annotated-res.png",
+    )
+    subprocess.call(cmd, shell=True)
+    # log attitude.txt
+    # Log:
+    # which image was tested
+    # Output from attitude.txt
+    dt = datetime.datetime.now().isoformat()
+    output_log.write("----------------------------\n")
+    output_log.write(f"{img_name}-{dt}-{args.att_estimator}\n")
+    output_log.write("----------------------------\n")
+    with open("attitude.txt") as att_log:
+        targets = ["attitude_ra", "attitude_de", "attitude_roll"]
+        for line in att_log:
+            line = line.split(" ")
+            if line[0] in targets:
+                output_log.write(line[1])
+
+output_log.close()