Implement entirely new logging subsystem

Make topic-based logging mechanics.
Print any log value to console.
Possibility to expose any logging value to mavlink.

tools/log_to_csv.py

@@ -0,0 +1,76 @@
+#!/usr/bin/env python3
+
+"""Convert flight from Flix format to CSV
+
+Usage:
+    log_to_csv.py <input_file>
+"""
+
+import os
+from pyflix import Flix
+import docopt
+import struct
+import csv
+
+DIR = os.path.dirname(os.path.realpath(__file__))
+HEADER_FILE = os.path.join(DIR, 'log/log_header.txt')
+
+# Read log header
+try:
+    # read from file
+    header = open(HEADER_FILE, 'r').read()
+except FileNotFoundError:
+    flix = Flix()
+    header = flix.cli('log header')  # receive the log schema
+    open(HEADER_FILE, 'w').write(header)  # save to file
+
+# Parse log header
+topics = []
+for line in header.splitlines():
+    if not line.startswith('  '):
+        topics.append([])
+    elif 'not logged' not in line:
+        topics[-1].append(line.strip())
+
+# Read log file
+args = docopt.docopt(__doc__)
+input_file = args['<input_file>']
+outfile_file = input_file + '.csv'
+data = open(input_file, 'rb').read()
+
+# Search for sync marker
+SYNC_MARKER = bytes.fromhex('1A 91 4F F6 7F')
+sync_offset = data.find(SYNC_MARKER)
+if sync_offset == -1:
+    raise ValueError('Sync marker not found in log file')
+data = data[sync_offset + len(SYNC_MARKER):]
+data = data.replace(SYNC_MARKER, b'')  # remove all other sync markers
+
+header_row = [f'{value}' for topic in topics for value in topic]
+rows = []
+
+offset = 0
+while offset < len(data):
+    try:
+        topic = struct.unpack_from('B', data, offset)[0]
+        offset += 1
+
+        if topic >= len(topics):
+            raise ValueError(f'Invalid topic {topic} at offset {offset}')
+
+        if topic == 0 or not rows:
+            rows.append({})
+
+        for name in topics[topic]:
+            value = struct.unpack_from('<f', data, offset)[0]
+            offset += 4
+            rows[-1][name] = value
+    except struct.error as e:
+        break
+
+# Write CSV file
+with open(outfile_file, 'w', newline='') as f:
+    writer = csv.DictWriter(f, fieldnames=header_row, extrasaction='ignore')
+    writer.writeheader()
+    rows = filter(lambda row: float(row.get('t', 0)), rows)
+    writer.writerows(rows)