"""
Felix Muzny
DS 2000
Lecture 11 - starter code
October 15, 2024

Data file (all sept 2024 ebike trips starting at Forsyth)
Three columns:
- end station name
- end station latitude (latitude is flatitude)
- end station longitude (longitude is veritcal)

Goals for today’s code:
- read a csv into a list of lists
- how many trips were to "Brigham Circle - Francis St at Huntington"
- where did the BlueBikes riders go from NEU in September?
"""

import matplotlib.pyplot as plt

# to help us read CSVs
import csv

FILENAME = "bluebikes_forsyth_100.csv"
STATION_OF_INTEREST = "Brigham Circle - Francis St at Huntington Ave"

FORSYTH_LAT = 42.339202
FORSYTH_LONG = -71.090511
STATION_COL = 0
LAT_COL = 1
LONG_COL = 2

def read_csv(filename):
   ''' Function: read_csv
       parameter: filename, a string
       Returns: 2d list of strings, the contents of the file
   '''
   data = []
   # with open(filename, "r") as infile:
       # our code will go here!
   return data


def get_station(data, station_name, col):
    """
    Get all rows from the data where the station name matches,
    assuming station names occer at the given column

    :param data: list of lists of strings
    :param station_name: string station name to search for
    :param col: int column to look in for the station name
    :return: list of ints
    """
    new_rows = []
    # our code will go here!
    return new_rows

# if there's time, we'll also want to...
def plot_locations(data, lat_col, long_col, begin_lat, begin_long):
    """
    Make a scatter plot of all the end locations given by the lat and long
    columns in the data. Plot one point as a special point to differentiate
    it from the others
    :param data: list of lists of strings
    :param lat_col: int column with the latitude information
    :param long_col: int column with the longitude information
    :param begin_lat: int special point's latitude
    :param begin_long: int special point's longitude
    :return: nothing
    """
    # our code will go here!
    print("placeholder for plotting")
    # plt.legend()
    # plt.show()

# main will be the control center
def main():
    print("lec 11 - bluebikes")

    # 1: gather data
    data = read_csv(FILENAME)

    # explore the data a bit

    #2: get the rows for the station we care about

    # how many trips to the station we care about?

    # 3: if time, let's plot the trips!

main()