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#!/usr/bin/python3
import os
import re
import pandas as pd
import numpy as np
from regression import velvar, combine_estimates
robot_velvars = {}
for entry in os.scandir('data'):
if not (entry.is_file() and entry.name.endswith('.csv')):
continue
match = re.match(r'^robot(\d+)_trial(\d+).csv$', entry.name)
if match == None:
continue
robot = int(match.group(1))
if not robot in robot_velvars:
robot_velvars[robot] = []
trial = int(match.group(2))
data = pd.read_csv(entry.path).values
robot_velvars[robot].append(velvar(data, data[0][0]))
for robot in robot_velvars:
est = [x*1000/3.28 for x in combine_estimates(robot_velvars[robot])]
print(f"robot {robot}'s kick velocity is {est[0]} ± {np.sqrt(est[1])*2} m/s (p > .95)")
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