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README.md

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+# Flight plan KML to CSV conversion
+This quick project exists to convert a specifically formatted KML file containing pair's of coordinates into a CSV file where they are displayed in Degrees, DegreesMinutes, and DegreesMinutesSeconds.
+
+# Procedures
+## Converting KML to CSV
+1. Open command prompt or powershell and navigate to the folder the script/executable is stored in
+2. Call the script where the first argument is the `inputFile` and the optional second argument is the `outputFile`
+    - As script: `python parser.py [inputFile] [outputFile]`
+    - As executable: `parser.py [inputFile] [outputFile]`
+    - If the `outputFile` argument is not specified it will default to using the original path and filename while appending `.csv` to the end
+3. After a few seconds the output file should appear where directed while also displaying to the screen
+
+## Created the executable from script
+Only needed if developing the script
+1. Using pyinstaller run `pyinstaller --onefile parser.py` 
+
+# Caveats
+1. This seems to accurately convert coordinates for the given formats, but you should absolutely check that yourself before relying on this
+2. If you want to have different formats in the output, you will have to modify the source code yourself
+3. Because Excel gets weird with the UTF-8 encoding when you open a CSV, I've removed some characters that caused issues but this may affect readability

parser.py

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+import untangle
+import re
+import csv
+from pygeodesy import LatLon_, latlonDMS
+import sys
+
+
+inputFilename = sys.argv[1]
+
+try:
+    outputFilename = sys.argv[2]
+except IndexError:
+    outputFilename = inputFilename+'.csv'
+
+print('DEBUG: Reading', inputFilename)
+print('DEBUG: Saving to', outputFilename)
+
+latlonre = re.compile(r"""(-*\d+\.\d+)""")  # Extract the two pairs of coords from the rest of the text
+
+mykml = untangle.parse(inputFilename)  # Parse the XML input file
+
+coords = []  # Prepare to store coordinates
+
+for folder in mykml.kml.Document.Folder.Placemark:  # For each 'folder'...
+    tmpcoordpair = latlonre.findall(folder.LineString.coordinates.cdata)  # Find all of the Regular Expression string matches
+
+    for i in range(2):  # Since there are '2' pairs do the following...
+        coord = LatLon_(tmpcoordpair[i*2], tmpcoordpair[i*2+1])
+        coords.append({
+            "folder": folder.name.cdata,
+            "coord_deg": str(latlonDMS(coord, form='-d')).replace('°', ''),
+            "coord_degmin": str(latlonDMS(coord, form='-dm')).replace('°', ' ').replace('′', ''),
+            "coord_degminsec": str(latlonDMS(coord, form='-dms')).replace('°', ' ').replace('′', ' ').replace('″', ''),
+        })
+
+for coord in coords:
+    print(coord)  # For debugging really...
+
+csvHeaders = coords[0].keys()
+with open(outputFilename, 'w', newline='', encoding='utf-8') as output_file:
+    csv.register_dialect('easyout', delimiter=',', quoting=csv.QUOTE_ALL)
+    dict_writer = csv.DictWriter(output_file, csvHeaders, dialect='easyout')
+    dict_writer.writeheader()
+    dict_writer.writerows(coords)