From a845747a9c5424ee23e17eb46234fc3eefdf1efe Mon Sep 17 00:00:00 2001
From: Langspielplatte <langspielplatte@black-mesa.xyz>
Date: Tue, 21 Mar 2023 10:53:47 +0100
Subject: [PATCH] Serial output parser for EM919x.

---
 format_serial_txt_to_csv_EM9190.py | 71 ++++++++++++++++++++++++++++++
 1 file changed, 71 insertions(+)
 create mode 100755 format_serial_txt_to_csv_EM9190.py

diff --git a/format_serial_txt_to_csv_EM9190.py b/format_serial_txt_to_csv_EM9190.py
new file mode 100755
index 0000000..d0d9457
--- /dev/null
+++ b/format_serial_txt_to_csv_EM9190.py
@@ -0,0 +1,71 @@
+#!/usr/bin/env python3
+import csv
+import datetime
+import re
+from argparse import ArgumentParser
+import pandas as pd
+
+KEY_VALUE_REGEX = r"(.+):(.+)"
+
+
+if __name__ == "__main__":
+
+    parser = ArgumentParser()
+    parser.add_argument("-f", "--file", required=True, help="Input txt file.")
+    args = parser.parse_args()
+
+    file = open(args.file, "r")
+    content = file.read()
+    file.close()
+
+    header = ["time"]
+    csv_lines = list()
+    p = re.compile(KEY_VALUE_REGEX)
+
+    for part in content.split(";;;"):
+        if part == "":
+            break
+        part = part.replace("\t", "\n").strip()
+
+        csv_line = list()
+        time = None
+        for line in part.split("\n"):
+            if not line.startswith("!") or line == "" or line == "\n":
+                if time is None:
+                    time = line
+                    csv_line.append(time)
+                m = p.match(line)
+                if m:
+                    key = m.group(1).strip().replace(" ", "_")
+                    value = m.group(2).replace("MHz", "").strip()
+
+                    if key not in header:
+                        header.append(key)
+
+                    csv_line.append(value)
+        if len(csv_line) > 1:
+            #print(csv_line)
+            csv_lines.append(csv_line)
+
+
+
+    outputfile = open(args.file.replace("txt", "csv"), "w")
+    writer = csv.writer(outputfile, delimiter=",", lineterminator="\n", escapechar='\\')
+    writer.writerow(header)
+    #print(all_csv_lines)
+    for l in csv_lines:
+        #print(l)
+        writer.writerow(l)
+
+    outputfile.close()
+
+    outputfile = open(args.file.replace("txt", "csv"), "r")
+    serial_df = pd.read_csv(outputfile)
+    serial_df["datetime"] = pd.to_datetime(
+        serial_df["time"].apply(lambda x: datetime.datetime.fromtimestamp(x))
+    )
+    serial_df.to_csv(args.file.replace("txt", "csv"))
+    outputfile.close()
+
+
+