from backend.src.dataCollector import dataCollector
import pandas
import pytest
data_collector = dataCollector()
def test_method():
assert data_collector.readfile(
'https://github.com/himol7/American-Football-Analytics-Application/blob/KrisshaJ-Testing/backend/src/NCSU.csv?raw=true'
) is not None
from backend.src.dataAnalytics import dataAnalytics
from backend.src.playsSeperator import playsSeperator
from backend.src.dataCollector import dataCollector
import warnings
import pytest
warnings.simplefilter(action='ignore', category=FutureWarning)
da = dataAnalytics()
dc = dataCollector()
data = dc.readfile(
"https://github.com/jayeshjakkani/American-Football-Analytics-Application/blob/master/backend/src/NCSU.csv?raw=true"
)
ps = playsSeperator()
all_plays = ps.getDataframesByPlays("NCST", data, "Season", "2019")
offensive_plays = {"PUNT", "KICKOFF_RETURN", "FIELDGOAL"}
defensive_plays = {"PUNT_RETURN", "KICKOFF", "FIELDGOAL_BLOCK"}
def test03():
for playType, playData in all_plays.items():
if playType in offensive_plays:
formations = playData["pff_OFFPLAYERS"]
ratings = playData["pff_OFFPLAYERSRATINGS"]
elif playType in defensive_plays:
formations = playData["pff_DEFPLAYERS"]
ratings = playData["pff_DEFPLAYERSRATINGS"]
countsAndRatings = da.generateTotalCountsAndRatings(