import csv, sys
from lib2to3.pgen2.pgen import DFAState
import plotly.express as px
import plotly.io as pio
import plotly.graph_objects as go

filename = 'example_data/TachymeterTable_103.csv'

# einfaches Beispiel: CSV direkt ausgeben:
#with open(filename, newline='') as f:
#    reader = csv.reader(f)
#    try:
#        for row in reader:
#            print(row)
#    except csv.Error as e:
#        sys.exit('file {}, line {}: {}'.format(filename, reader.line_num, e))


# Time,x,y,z,d,deltaT,SOG,RelTime,Beschleunigung,BeschleunigungDeltaTFix,ABSBeschleunigung
class Tachymeter(object):

    def __init__(self, i, x, y, z, d, deltaT, SOG, RelTime, Beschleunigung, BeschleunigungDeltaTFix, ABSBeschleunigung):
        self.index = i
        self.x = x
        self.y = y
        self.z = z
        self.d = d
        self.deltaT = deltaT
        self.SOG = SOG
        self.RelTime = RelTime
        self.Beschleunigung = Beschleunigung
        self.BeschleunigungDeltaTFix = BeschleunigungDeltaTFix
        self.ABSBeschleunigung = ABSBeschleunigung

    def __init__(self, row, header):
        self.__dict__ = dict(zip(header, row))
        self.index = row


data = list(csv.reader(open(filename, newline='')))
tachies = [Tachymeter(i, data[0]) for i in data[1:]]

# for tachy in tachies:
#     print(tachy.x)

fig = dict({
    "data": [{"type": "bar",
              "x": [1, 2, 3],
              "y": [1, 3, 2]}],
    "layout": {"title": {"text": "A Figure Specified By Python Dictionary"}}
})

# pio.show(fig)

# fig = px.line(tachies, x="x", y="x", title="Tachymeter Daten x, y")
# fig.show()

df = dict( {
    "x" : [ 1, 2, 3, 4, 5],
    "y" : [0.4, 2.3, 2.4, 2.7, 1.3]
})

fig = go.Figure(go.Line(x = df['x'], y = df['y'],
                  name='Position (x/y)'))
fig.show()