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weather_map.py
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weather_map.py
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import os
import time
import cv2 as cv
import requests
import matplotlib.pyplot as plt
import numpy as np
from util import *
from multiprocessing.dummy import Pool as ThreadPool
# Данные с прогнозом
# https://api.weather.yandex.ru/frontend/nowcast/tile?x=18&y=8&z=5&for_date=1640089200&nowcast_gen_time=1640088438&request_id=1640088904958033-1129672350860912049-sas3-1002-e1c-sas-l7-balancer-8080-BAL&from_client=front&encoded=1
class WeatherMap:
def get_temperature_map(self, deep=1, border=True, grid=True) -> str:
self.__parse(deep, map_t='temperature', border=border)
return self.__merge(deep, map_t='temperature', border=border, grid=grid)
def get_pressure_map(self, deep=1, border=True, grid=True) -> str:
self.__parse(deep, map_t='pressure', border=border)
return self.__merge(deep, map_t='pressure', border=border, grid=grid)
def get_wind_map(self, deep=1, border=True, grid=True) -> str:
self.__parse(deep, map_t='wind', border=border)
return self.__merge(deep, map_t='wind', border=border, grid=grid)
def show_map(self, path) -> None:
img = cv.imread(path)
n_labels = 5
# labels
label_x = np.arange(-180, 180)
label_y = np.arange(90, -90, -1)
label_nx = label_x.shape[0]
label_ny = label_y.shape[0]
label_step_x = int(label_nx / (n_labels - 1))
label_step_y = int(label_ny / (n_labels - 1))
label_x_pos = label_x[::label_step_x]
label_y_pos = label_y[::label_step_y]
# image
h, w, _ = img.shape
x = np.arange(0, w)
y = np.arange(0, h)
nx = x.shape[0]
ny = y.shape[0]
step_x = int(nx / (n_labels - 1))
step_y = int(ny / (n_labels - 1))
x_pos = np.arange(0, nx, step_x)
y_pos = np.arange(0, ny, step_y)
plt.imshow(cv.cvtColor(img, cv.COLOR_BGR2RGB))
plt.xticks(x_pos, label_x_pos)
plt.yticks(y_pos, label_y_pos)
def mouse_press(event):
y = -((180 * event.ydata / h) - 90)
x = (360 * event.xdata / w) - 180
print(f'Coordinates y: {y} x: {x}')
plt.connect('button_press_event', mouse_press)
plt.show()
@timer
def __parse(self, deep=1, map_t='temperature', border=False) -> None:
tasks = [map_t]
if not 1 <= deep <= 7:
print('[ERROR] deep in out of range')
return
if map_t not in map_type.keys():
print('[ERROR] unknown map type')
return
if not os.path.exists(f'./tmp/{map_t}/{deep}'):
os.makedirs(f'./tmp/{map_t}/{deep}')
if border:
tasks.append('border')
if not os.path.exists(f'./tmp/border/{deep}'):
os.makedirs(f'./tmp/border/{deep}')
for task in tasks:
check = True
while check:
if task == 'border':
if os.path.exists(f'./tmp/{task}/{deep}/0-0.png'):
return
token = extract_token(map_type[task], chrome_dev_tools_network(url_type[task]))
print(f'[INFO] Token ({task}) - {token}')
urls = list()
for y in range(pow(2, deep - 1)):
for x in range(pow(2, deep - 1)):
if task == 'border':
url = f'{base_url}/{map_type[task]}/{token}/{deep}/{x}_{y}.png'
else:
url = f'{base_url}/{map_type[task]}/{token}/{deep}/{x}_{y}.jpeg'
urls.append(url)
x, y = 0, 0
with ThreadPool(pow(4, deep - 1)) as pool:
responses = list(pool.map(requests.get, urls))
for response in responses:
if response.status_code == 200:
file = open(f'./tmp/{task}/{deep}/{x}-{y}.png', 'wb')
file.write(response.content)
file.close()
check = False
else:
print(f'[ERROR] {x} {y} not found. Data is not exist')
return
x += 1
if x == pow(2, deep-1):
x = 0
y += 1
@timer
def __merge(self, deep=1, map_t='temperature', border=False, grid=False) -> str:
if not os.path.exists(f'./tmp/{map_t}/{deep}/0-0.png'):
print('[ERROR] Data is not exist')
return
merge_h_v = []
tasks = [map_t]
if border:
tasks.append('border')
for task in tasks:
h = []
for x in range(pow(2, deep - 1)):
v = []
for y in range(pow(2, deep - 1)):
v.append(cv.imread(f'./tmp/{task}/{deep}/{x}-{y}.png'))
merge_v = cv.vconcat(v)
h.append(merge_v)
merge_h = cv.hconcat(h)
merge_h_v.append(merge_h)
id = "".join(list(map(str, time.localtime()[:6])))
if border:
path = f'./{id}-{map_t}-{deep}-b.png'
overlay = cv.addWeighted(merge_h_v[0], 0.9, merge_h_v[1], 0.1, 0.1)
if grid:
for x in range(512, overlay.shape[1], 512):
img = cv.line(overlay, (x, 0), (x, overlay.shape[1]), (0, 0, 0), 5)
for y in range(512, overlay.shape[0], 512):
img = cv.line(overlay, (0, y), (overlay.shape[0], y), (0, 0, 0), 5)
overlay = img
path = f'./{id}-{map_t}-{deep}-bg.png'
cv.imwrite(path, overlay)
else:
path = f'./{map_t}-{deep}.png'
if grid:
for x in range(512, merge_h_v[0].shape[1], 512):
img = cv.line(merge_h_v[0], (x, 0), (x, merge_h_v[0].shape[1]), (0, 0, 0), 5)
for y in range(512, merge_h_v[0].shape[0], 512):
img = cv.line(merge_h_v[0], (0, y), (merge_h_v[0].shape[0], y), (0, 0, 0), 5)
merge_h_v[0] = img
path = f'./{id}-{map_t}-{deep}-g.png'
cv.imwrite(path, merge_h_v[0])
return path