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matrix_day.py
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matrix_day.py
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import numpy as np
import matplotlib.pyplot as plt
import sqlite3
from tqdm import tqdm
from datetime import datetime
from random import choice
from glob import glob
import gmplot
from utils import (
get_route_details,
get_stops_details,
haversine_dist,
get_matrix1_map,
)
import os
from random import choice
stops_data = get_stops_details()
routes_data = get_route_details()
matrix1_map = get_matrix1_map(routes_data)
def get_start_time(stop_tree):
stamp = {}
for route in stop_tree:
if np.random.uniform() > 0.5:
for trip in stop_tree[route]:
if np.random.uniform() > 0.5:
for e in stop_tree[route][trip]:
if e != None:
current_data = datetime.fromtimestamp(e)
time = current_data.date()
start_date = int(
datetime(
year=time.year,
month=time.month,
day=time.day,
hour=0,
minute=0,
second=0,
microsecond=0,
).timestamp()
)
if start_date not in stamp:
stamp[start_date] = 0
else:
stamp[start_date] += 1
break
return max(stamp, key=lambda x: stamp[x])
for tree_file in glob("assets/processed/stops_aligned/*"):
if os.path.exists(
"assets/processed/matrix_short/{}".format(tree_file.split("/")[-1])
):
continue
matrix = np.zeros([matrix1_map["size"], 144]).astype(np.float32)
count = np.zeros([matrix1_map["size"], 144]).astype(np.float32)
stop_tree = np.load(tree_file, allow_pickle=True)["arr_0"].item()
start_date = get_start_time(stop_tree)
error_count = 0
for route_id in stop_tree:
stops = routes_data[route_id]
for each_trip in stop_tree[route_id]:
for start_stop in range(len(stops) - 1):
if (
stop_tree[route_id][each_trip][start_stop] == None
or stop_tree[route_id][each_trip][start_stop + 1] == None
):
continue
start_time = (
stop_tree[route_id][each_trip][start_stop] - start_date
)
if start_time < 0:
continue
end_time = (
stop_tree[route_id][each_trip][start_stop + 1] - start_date
)
if (
(end_time - start_time) > 1800
or (end_time - start_time) < 0
or (end_time - start_time) < 30
):
continue
try:
matrix[
matrix1_map["map"][stops[start_stop]][
stops[start_stop + 1]
],
start_time // 600,
] += (
float(end_time - start_time) / 60
)
count[
matrix1_map["map"][stops[start_stop]][
stops[start_stop + 1]
],
start_time // 600,
] += 1
except:
error_count += 1
continue
matrix /= count
matrix[np.isnan(matrix)] = 0
np.savez_compressed(
"assets/processed/matrix_short/{}".format(tree_file.split("/")[-1]),
matrix=matrix,
date=start_date,
)
print(
"Error Count in {}:- {} out of ".format(
tree_file.split("/")[-1], error_count
)
)
# %%