#!/usr/bin/env python3
# -*- coding: utf-8 -*-

from fitparse import FitFile
from datetime import datetime, timedelta
import os, sys, shutil
from os import walk
import csv
import pandas as pd


path = "/home/manuel/Dropbox/Apps/HealthFitExporter/"
#path = "/Users/manuel/Projekte/eBike-Influx-Calculation/"
ext = ('.fit')
csv_file = "/www/wwwroot/www.manuelw.de/ebike/ebike_data.csv"

output = {}
fitData = {}
fitData["total_distance"] = 0
fitData["total_ascent"] = 0
fitData["avg_speed"] = 0
fitData["avg_speed_count"] = 0
fitFilesCount = 0

loading = sys.argv[1]
watt = sys.argv[2]
row = []

##
### auf neue Files überwachen
def main():
	f = []
	for base, dirs, files in os.walk(path):
		files = [ fi for fi in files if fi.endswith(".fit") ]
		if files:
			processFIT(files)

##
### parse FIT file und bestimme Handling
def processFIT(files):
	global fitFilesCount

	print("Files:", len(files))
	fitFilesCount = len(files)
	for filename in files:
		#print(filename)
		file = FitFile(path+filename)
		for record in file.get_messages("session"):
			## nur wenn Radfahren
			if record.get_value("sport") == "cycling":
				## Verarbeitung starten
				doAll(file)

	showEnd()
	readCSV()
	deleteFiles()


##
### todo on all fit files
def doAll(file):
	for record in file.get_messages("session"):
		fitData["avg_cadence"] = record.get_value("avg_cadence")
		#fitData["avg_speed"] += round(float(record.get_value("avg_speed")) / 0.27777777777778, 1)
		fitData["avg_speed"] += record.get_value("avg_speed")
		fitData["avg_speed_count"] +=1
		#fitData["total_ascent"] = float(record.get_value("total_ascent")) if record.get_value("total_ascent") != None else 0
		fitData["total_distance"] += float(round(record.get_value("total_distance") / 1000, 1))

	fitData["avg_speed"] = round(float(fitData["avg_speed"] / fitData["avg_speed_count"]), 1)
	doHealthFit(file, record.get_value("min_altitude"))


def doHealthFit(file, min_alt=0.0):
	### Kadenz
	i=0
	cadence=0
	last_elev=min_alt
	ges_elev=0.0

	for record in file.get_messages("record"):
		## korrekte Kadenz ermitteln
		if record.get_value("cadence") != None and record.get_value("cadence") > 0:
			i+=1
			cadence += record.get_value("cadence")

		## korrekte Höhenmeter ermitteln
		if record.get_value("altitude") != None:
			if record.get_value("altitude") > last_elev:
				ges_elev += record.get_value("altitude") - last_elev

			last_elev = record.get_value("altitude")

	#fitData["avg_cadence"] = int(cadence/i)
	fitData["total_ascent"] += round(float(ges_elev), 1)
	fitData["total_ascent"] = round(float(fitData["total_ascent"]), 1)


def showEnd():
	print("Akku geladen",loading)
	print("Ladung Wh",watt)
	print("Total Range", fitData["total_distance"])
	print("Total Ascent", fitData["total_ascent"])
	print("AVG Speed", fitData["avg_speed"])


def readCSV():
	global fitData, fitFilesCount

	with open(csv_file, "r", encoding="utf-8", errors="ignore") as scraped:
		row = []
		try:
			row.extend(scraped.readlines()[-1].replace("\n", "").split(","))
			row = row[0:-5]
			dropCSV()
			row.extend([fitData["total_distance"], fitData["total_ascent"], fitData["avg_speed"], watt, fitFilesCount])
			writeCSV(row)

		except:
			print("EXCEPTION")
			row.extend(["Date", "Loading", "Total Range", "Total Ascent", "AVG Speed", "Loaded Wh", "Fahrten"])
			writeCSV(row)


def writeCSV(row):
	with open(csv_file, 'a', newline='') as csvfile:
		spamwriter = csv.writer(csvfile, delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL)
		spamwriter.writerow(row)
		spamwriter.writerow([datetime.today().strftime('%d-%m-%Y'), loading, 0, 0, 0, 0, 0])


def dropCSV():
	df = pd.read_csv(csv_file, index_col='Date', on_bad_lines='skip')
	df = df.iloc[:-1]
	df.to_csv(csv_file, index=True)


def deleteFiles():
	for filename in os.listdir(path):
		file_path = os.path.join(path, filename)
		try:
			if os.path.isfile(file_path) or os.path.islink(file_path):
				os.unlink(file_path)
				#print("lösche... test")
			elif os.path.isdir(file_path):
				shutil.rmtree(file_path)
		except Exception as e:
			print('Failed to delete %s. Reason: %s' % (file_path, e))


if __name__ == '__main__':
	main()