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schedule.py
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schedule.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@Time : 2019/8/1
@Author : AnNing
"""
from datetime import datetime
from dateutil.relativedelta import relativedelta
import time
import hashlib
import zipfile
import sys
from multiprocessing import Pool
import numpy as np
import threading
from gfssi_p01_ssi_plot_map_full import plot_map_full
from gfssi_p02_cloud_plot_map_full import plot_map_full as plot_cloud_full
from gfssi_e02_ssi_combine import combine_full
from gfssi_e03_ssi_area import area
from gfssi_b01_ssi_itcal import itcal
from gfssi_b02_ssi_1km import fy4a_ssi_4km_to_1km
from gfssi_b03_1kmcorrect import fy4a_1km_correct
from gfssi_b04_envi2hdf import fy3d_envi2hdf
from config import *
from lib.lib_read_ssi import FY4ASSI, FY3DSSI
from lib.lib_database import find_result_data, Session, ResultData
from lib.lib_get_index_by_lonlat import get_point_index
from lib.lib_constant import *
# 获取程序所在目录位置
g_path, _ = os.path.split(os.path.realpath(__file__))
# 进入该目录
os.chdir(g_path)
def get_hash_utf8(str_hash):
"""
获取字符串的hash值
:param str_hash:
:return:
"""
if not isinstance(str_hash, str):
str_hash = str(str_hash)
md = hashlib.md5()
md.update(str_hash.encode('utf-8'))
return md.hexdigest()
def make_zip_file(out_file, in_files):
out_dir = os.path.dirname(out_file)
if not os.path.isdir(out_dir):
os.makedirs(out_dir)
with zipfile.ZipFile(out_file, 'w') as z:
for in_file in in_files:
if os.path.isfile(in_file):
z.write(in_file, os.path.basename(in_file))
print('生成zip文件：{}'.format(out_file))
return out_file
def fy4a_save_4km_orbit_data_in_database(date_start=None, date_end=None, **kwargs):
print(date_start)
print(date_end)
source_dir = os.path.join('/FY4/FY4A/AGRI/L2/SSI/DISK/NOM')
ssi_dir = os.path.join(DATA_ROOT_DIR, 'SSIData', 'FY4A', 'SSI_4KM', 'Full', 'Orbit')
ext = '.NC'
resultid = 'FY4A_AGRI_L2_SSI_Orbit'
planid = 1
results = find_result_data(resultid=resultid, datatime_start=date_start, datatime_end=date_end,
resolution_type='4KM')
results_files = [row.address for row in results]
results_files = set(results_files)
session = Session()
count = 0
for root, dirs, files in os.walk(source_dir):
for file_name in files:
if ext is not None:
if '.' not in ext:
ext = '.' + ext
if os.path.splitext(file_name)[1].lower() != ext.lower():
continue
try:
src_file = os.path.join(root, file_name)
datatime = FY4ASSI.get_date_time_orbit(src_file)
if date_start is not None and date_end is not None:
if not date_start <= datatime <= date_end:
continue
yyyymmdd = datatime.strftime("%Y%m%d")
dst_file = os.path.join(ssi_dir, yyyymmdd, file_name)
dst_file = dst_file.replace('4000M', '4KM')
if not os.path.isfile(dst_file):
dst_dir = os.path.dirname(dst_file)
if not os.path.isdir(dst_dir):
os.makedirs(dst_dir)
os.symlink(src_file, dst_file)
if dst_file in results_files:
continue
result_data = ResultData()
result_data.resultid = resultid
result_data.planid = planid
result_data.address = dst_file
result_data.datatime = datatime
result_data.createtime = datetime.now()
result_data.resolution_type = '4KM'
result_data.area_type = 'Full_DISK'
result_data.element = None
session.add(result_data)
count += 1
print('{} -----> {}'.format(src_file, dst_file))
if count >= 500:
session.commit()
count = 0
except Exception as why:
print(why)
os.remove(dst_file)
session.commit()
session.close()
def fy4a_save_4km_orbit_ref_data_in_database(date_start=None, date_end=None, **kwargs):
print(date_start)
print(date_end)
source_dir = os.path.join('/FY4/FY4A/AGRI/L1/FDI/DISK')
fdi_dir = os.path.join(DATA_ROOT_DIR, 'FDIData', 'FY4A', 'FDI_4KM', 'Full', 'Orbit')
ext = '.HDF'
resultid = 'FY4A_AGRI_L1_FDI_Orbit'
planid = 1
results = find_result_data(resultid=resultid, datatime_start=date_start, datatime_end=date_end,
resolution_type='4KM')
results_files = [row.address for row in results]
results_files = set(results_files)
session = Session()
count = 0
for root, dirs, files in os.walk(source_dir):
for file_name in files:
if ext is not None:
if '.' not in ext:
ext = '.' + ext
if os.path.splitext(file_name)[1].lower() != ext.lower():
continue
if "4000M" not in file_name or "FDI" not in file_name:
continue
try:
src_file = os.path.join(root, file_name)
datatime = FY4ASSI.get_date_time_orbit(src_file)
if date_start is not None and date_end is not None:
if not date_start <= datatime <= date_end:
continue
yyyymmdd = datatime.strftime("%Y%m%d")
dst_file = os.path.join(fdi_dir, yyyymmdd, file_name)
dst_file = dst_file.replace('4000M', '4KM')
if not os.path.isfile(dst_file):
dst_dir = os.path.dirname(dst_file)
if not os.path.isdir(dst_dir):
os.makedirs(dst_dir)
os.symlink(src_file, dst_file)
if dst_file in results_files:
continue
result_data = ResultData()
result_data.resultid = resultid
result_data.planid = planid
result_data.address = dst_file
result_data.datatime = datatime
result_data.createtime = datetime.now()
result_data.resolution_type = '4KM'
result_data.area_type = 'Full_DISK'
result_data.element = None
session.add(result_data)
count += 1
print('{} -----> {}'.format(src_file, dst_file))
if count >= 500:
session.commit()
count = 0
except Exception as why:
print(why)
os.remove(dst_file)
session.commit()
session.close()
def product_fy3d_1km_daily_data(date_start=None, date_end=None, thread=THREAD, **kwargs):
source_dir = os.path.join(DATA_ROOT_DIR, 'SourceData', 'FY3D', 'SSI_1KM', 'Daily')
ext = '.dat'
resultid = 'FY3D_MERSI_L3_SSI_Daily'
planid = 1
resolution_type = '1KM'
filename_template = 'FY3D-_MERSI--_N_DISK_E_L3-_SSI-_MULT_NOM_{ymd}_{r}_V0001.NC'
print('开始生产')
p = Pool(thread)
for root, dirs, files in os.walk(source_dir):
for file_name in files:
if ext is not None:
if '.' not in ext:
ext = '.' + ext
if os.path.splitext(file_name)[1].lower() != ext.lower():
continue
src_file = os.path.join(root, file_name)
ymd = file_name[3:11]
datatime = datetime.strptime(ymd, "%Y%m%d")
if (not date_start <= datatime <= date_end) or ('Gc' not in file_name):
continue
dst_dir = os.path.join(DATA_ROOT_DIR, 'SSIData', 'FY3D', 'SSI_1KM', 'Full', 'Daily', ymd[:6])
filename_out = filename_template.format(ymd=ymd, r=resolution_type)
dst_file = os.path.join(dst_dir, filename_out)
if DEBUG or thread == 1:
fy3d_envi2hdf(src_file, dst_file, resultid, planid, datatime, resolution_type)
else:
p.apply_async(fy3d_envi2hdf, args=(src_file, dst_file, resultid, planid, datatime, resolution_type))
p.close()
p.join()
print('完成全部的任务:{}'.format(sys._getframe().f_code.co_name))
def product_fy4a_4kmcorrect_disk_full_data_orbit(date_start=None, date_end=None, thread=THREAD, **kwargs):
"""
绘制原始4KM数据的图像
3个产品，每个产品2张图像，共6张图像
:param date_start: 开始日期 datetime
:param date_end: 结束日期 datetime
:param thread:
:return:
"""
resultid_data = 'FY4A_AGRI_L2_SSI_Orbit'
resultid_itcal = 'FY4A_AGRI_L2_SSI_Orbit'
frequency = 'Orbit'
resolution_type_in = '4KM'
resolution_type = '4KMCorrect'
out_dir = os.path.join(DATA_ROOT_DIR, 'SSIData/FY4A/SSI_{resolution_type}/Full/{frequency}')
out_dir = out_dir.format(resolution_type=resolution_type, frequency=frequency)
planid = 1
results = find_result_data(resultid=resultid_data, datatime_start=date_start, datatime_end=date_end,
resolution_type=resolution_type_in)
in_files = [row.address for row in results]
in_files.sort()
in_files_length = len(in_files)
print('找到的文件总数:{}'.format(in_files_length))
print('开始生产')
p = Pool(thread)
for in_file in in_files[:]:
in_file_name = os.path.basename(in_file)
datatime = FY4ASSI.get_date_time_orbit(in_file)
if datatime.minute != 0:
continue
date_time = datatime.strftime('%Y%m%d%H%M%S')
out_file_name = in_file_name.replace(resolution_type_in, resolution_type)
out_file = os.path.join(out_dir, date_time[:8], out_file_name)
if DEBUG or thread == 1:
itcal(in_file, out_file, resultid_itcal, planid, datatime, resolution_type)
else:
p.apply_async(itcal, args=(in_file, out_file, resultid_itcal, planid, datatime, resolution_type))
p.close()
p.join()
print('完成全部的任务:{}'.format(sys._getframe().f_code.co_name))
def product_fy4a_1km_disk_full_data_orbit(date_start=None, date_end=None, thread=THREAD, **kwargs):
"""
绘制原始4KM数据的图像
3个产品，每个产品2张图像，共6张图像
:param date_start: 开始日期 datetime
:param date_end: 结束日期 datetime
:param thread:
:return:
"""
resultid_in = 'FY4A_AGRI_L2_SSI_Orbit'
resultid_out = 'FY4A_AGRI_L2_SSI_Orbit'
frequency = 'Orbit'
resolution_type_in = '4KMCorrect'
resolution_type = '1KM'
out_dir = os.path.join(DATA_ROOT_DIR, 'SSIData/FY4A/SSI_{resolution_type}/Full/{frequency}')
out_dir = out_dir.format(resolution_type=resolution_type, frequency=frequency)
planid = 1
results = find_result_data(resultid=resultid_in, datatime_start=date_start, datatime_end=date_end,
resolution_type=resolution_type_in)
in_files = [row.address for row in results]
in_files.sort()
in_files_length = len(in_files)
print('找到的文件总数:{}'.format(in_files_length))
print('开始生产')
p = Pool(thread)
for in_file in in_files[:]:
in_file_name = os.path.basename(in_file)
datatime = FY4ASSI.get_date_time_orbit(in_file)
if datatime.minute != 0:
continue
date_time = datatime.strftime('%Y%m%d%H%M%S')
out_file_name = in_file_name.replace(resolution_type_in, resolution_type)
out_file = os.path.join(out_dir, date_time[:8], out_file_name)
if DEBUG or thread == 1:
fy4a_ssi_4km_to_1km(in_file, out_file, resultid_out, planid, datatime, resolution_type)
else:
p.apply_async(fy4a_ssi_4km_to_1km,
args=(in_file, out_file, resultid_out, planid, datatime, resolution_type))
p.close()
p.join()
print('完成全部的任务:{}'.format(sys._getframe().f_code.co_name))
def product_fy4a_1kmcorrect_disk_full_data_orbit(date_start=None, date_end=None, thread=THREAD, **kwargs):
"""
绘制原始4KM数据的图像
3个产品，每个产品2张图像，共6张图像
:param date_start: 开始日期 datetime
:param date_end: 结束日期 datetime
:param thread:
:return:
"""
resultid_in = 'FY4A_AGRI_L2_SSI_Orbit'
resultid_out = 'FY4A_AGRI_L2_SSI_Orbit'
frequency = 'Orbit'
resolution_type_in = '1KM'
resolution_type_out = '1KMCorrect'
obs_dir = DATA_OBS_DIR
temp_dir = DATA_TMP_DIR
out_dir = os.path.join(DATA_ROOT_DIR, 'SSIData/FY4A/SSI_{resolution_type}/Full/{frequency}')
out_dir = out_dir.format(resolution_type=resolution_type_out, frequency=frequency)
planid = 1
results = find_result_data(resultid=resultid_in, datatime_start=date_start, datatime_end=date_end,
resolution_type=resolution_type_in)
in_files = [row.address for row in results]
in_files.sort()
in_files_length = len(in_files)
print('找到的文件总数:{}'.format(in_files_length))
print('开始生产')
p = Pool(thread)
for in_file in in_files:
in_file_name = os.path.basename(in_file)
date_time = FY4ASSI.get_date_time_orbit(in_file)
if date_time.minute != 0:
continue
out_file_name = in_file_name.replace(resolution_type_in, resolution_type_out)
out_file = os.path.join(out_dir, date_time.strftime('%Y%m%d'), out_file_name)
mid_dir = os.path.join(temp_dir, 'FY4A', '1KMCorrect', date_time.strftime("%Y%m%d%H%M%S"))
if DEBUG or thread == 1:
fy4a_1km_correct(in_file, out_file, obs_dir, mid_dir,
resultid_out, planid, date_time, resolution_type_out)
else:
p.apply_async(fy4a_1km_correct,
args=(in_file, out_file, obs_dir, mid_dir,
resultid_out, planid, date_time, resolution_type_out))
p.close()
p.join()
print('完成全部的任务:{}'.format(sys._getframe().f_code.co_name))
def product_combine_data(date_start=None, date_end=None, frequency=None, thread=THREAD,
resolution_type=None, sat_sensor=None):
sat_sensor = sat_sensor.upper()
sat, sensor = sat_sensor.split('_')
out_dir = os.path.join(DATA_ROOT_DIR, 'SSIData/{sat}/SSI_{resolution_type}/Full/{frequency}')
out_dir = out_dir.format(sat=sat, resolution_type=resolution_type, frequency=frequency)
if sat == 'FY4A':
out_name = 'FY4A-_AGRI--_N_DISK_1047E_L3-_SSI-_MULT_NOM_{date}_{resolution_type}_V0001.NC'
elif sat == 'FY3D':
out_name = 'FY3D-_MERSI--_N_DISK_E_L3-_SSI-_MULT_NOM_{date}_{resolution_type}_V0001.NC'
else:
print('不支持的卫星:sat_sensor={}'.format(sat_sensor))
return
if frequency == 'Daily':
resultid_data_in = '{}_L2_SSI_Orbit'.format(sat_sensor)
strf_name = '%Y%m%d'
strf_dir = '%Y%m'
date_relativedelta = relativedelta(days=1)
daily = True
planid = 1
get_date_time = FY4ASSI.get_date_time_daily
elif frequency == 'Monthly':
resultid_data_in = '{}_L3_SSI_Daily'.format(sat_sensor)
out_dir = out_dir.format(resolution_type=resolution_type, frequency='Monthly')
strf_name = '%Y%m'
strf_dir = '%Y'
date_relativedelta = relativedelta(months=1)
daily = False
planid = 1
get_date_time = FY4ASSI.get_date_time_monthly
elif frequency == 'Yearly':
resultid_data_in = '{}_L3_SSI_Monthly'.format(sat_sensor)
out_dir = out_dir.format(resolution_type=resolution_type, frequency='Yearly')
strf_name = '%Y'
strf_dir = None
date_relativedelta = relativedelta(years=1)
daily = False
planid = 1
get_date_time = FY4ASSI.get_date_time_yearly
else:
raise ValueError('不支持的类型：{}'.format(frequency))
resultid_combine = '{sat_sensor}_L3_SSI_{frequency}'.format(sat_sensor=sat_sensor, frequency=frequency)
files_combine = []
p = Pool(thread)
date_tmp = date_start
while date_tmp <= date_end:
time.sleep(0.1)
date_name = date_tmp.strftime(strf_name)
if strf_dir is not None:
date_dir = date_tmp.strftime(strf_dir)
else:
date_dir = ''
date_s = datetime.strptime(date_name, strf_name)
date_e = date_s + date_relativedelta - relativedelta(seconds=1)
try:
results = find_result_data(resultid=resultid_data_in, datatime_start=date_s, datatime_end=date_e,
resolution_type=resolution_type)
except Exception as why:
print(why)
continue
in_files = [row.address for row in results]
in_files.sort()
in_files_length = len(in_files)
print('找到的文件总数:{}'.format(in_files_length))
out_name_tmp = out_name.format(date=date_name, resolution_type=resolution_type)
out_file = os.path.join(out_dir, date_dir, out_name_tmp)
datatime = get_date_time(out_file)
if DEBUG or thread == 1:
combine_full(in_files, out_file, daily, resultid_combine, planid, datatime,
resolution_type)
else:
p.apply_async(combine_full, args=(in_files, out_file, daily, resultid_combine, planid, datatime,
resolution_type))
files_combine.append(out_file)
date_tmp += date_relativedelta
p.close()
p.join()
print('完成全部的任务:{}'.format(sys._getframe().f_code.co_name))
def product_image(date_start=None, date_end=None, frequency=None, thread=THREAD,
resolution_type=None, sat_sensor=None, **kwargs):
sat_sensor = sat_sensor.upper()
sat, sensor = sat_sensor.split('_')
if frequency == 'Orbit':
resultid_data_in = '{}_L2_SSI_Orbit'.format(sat_sensor)
if sat == 'FY4A':
vmin, vmax, _ = COLORBAR_RANGE_ORBIT_FY4A
else:
print('此时间分辨率={}不支持卫星={}'.format(frequency, sat_sensor))
return
planid = 1
get_date_time = FY4ASSI.get_date_time_orbit
elif frequency == 'Daily':
resultid_data_in = '{}_L3_SSI_Daily'.format(sat_sensor)
if sat == 'FY4A':
vmin, vmax, _ = COLORBAR_RANGE_DAILY_FY4A
elif sat == 'FY3D':
vmin, vmax, _ = COLORBAR_RANGE_DAILY_FY3D
else:
print('此时间分辨率={}不支持卫星={}'.format(frequency, sat_sensor))
return
planid = 1
get_date_time = FY4ASSI.get_date_time_daily
elif frequency == 'Monthly':
resultid_data_in = '{}_L3_SSI_Monthly'.format(sat_sensor)
if sat == 'FY4A':
vmin, vmax, _ = COLORBAR_RANGE_MONTHLY_FY4A
elif sat == 'FY3D':
vmin, vmax, _ = COLORBAR_RANGE_MONTHLY_FY3D
else:
print('此时间分辨率={}不支持卫星={}'.format(frequency, sat_sensor))
return
planid = 1
get_date_time = FY4ASSI.get_date_time_monthly
elif frequency == 'Yearly':
resultid_data_in = '{}_L3_SSI_Yearly'.format(sat_sensor)
if sat == 'FY4A':
vmin, vmax, _ = COLORBAR_RANGE_YEARLY_FY4A
elif sat == 'FY3D':
vmin, vmax, _ = COLORBAR_RANGE_MONTHLY_FY3D
else:
print('此时间分辨率={}不支持卫星={}'.format(frequency, sat_sensor))
return
planid = 1
get_date_time = FY4ASSI.get_date_time_yearly
else:
raise ValueError('不支持的类型：{}'.format(frequency))
resultid_image = resultid_data_in + '_IMG'
try:
results = find_result_data(resultid=resultid_data_in, datatime_start=date_start, datatime_end=date_end,
resolution_type=resolution_type)
except Exception as why:
print(why)
return
in_files = [row.address for row in results]
in_files.sort()
in_files_length = len(in_files)
print('找到的文件总数:{}'.format(in_files_length))
print('开始绘图')
p = Pool(thread)
for in_file in in_files[:]:
datatime = get_date_time(in_file)
if DEBUG or thread == 1:
plot_map_full(in_file, vmin, vmax, resultid_image, planid, datatime, resolution_type)
else:
p.apply_async(plot_map_full,
args=(in_file, vmin, vmax, resultid_image, planid, datatime, resolution_type))
p.close()
p.join()
print('完成全部的任务:{}'.format(sys._getframe().f_code.co_name))
def product_cloud_image(date_start=None, date_end=None, frequency=None, thread=THREAD,
resolution_type=None, sat_sensor=None, **kwargs):
sat_sensor = sat_sensor.upper()
sat, sensor = sat_sensor.split('_')
if frequency == 'Orbit':
resultid_data_in = '{}_L1_FDI_Orbit'.format(sat_sensor)
if sat == 'FY4A':
vmin, vmax, _ = COLORBAR_RANGE_ORBIT_FY4A
else:
print('此时间分辨率={}不支持卫星={}'.format(frequency, sat_sensor))
return
planid = 1
get_date_time = FY4ASSI.get_date_time_orbit
else:
raise ValueError('不支持的类型：{}'.format(frequency))
resultid_image = resultid_data_in + '_IMG'
try:
results = find_result_data(resultid=resultid_data_in, datatime_start=date_start, datatime_end=date_end,
resolution_type=resolution_type)
except Exception as why:
print(why)
return
in_files = [row.address for row in results]
in_files.sort()
in_files_length = len(in_files)
print('找到的文件总数:{}'.format(in_files_length))
print('开始绘图')
p = Pool(thread)
for in_file in in_files[:]:
datatime = get_date_time(in_file)
if DEBUG or thread == 1:
plot_cloud_full(in_file, resultid_image, planid, datatime, resolution_type)
else:
p.apply_async(plot_cloud_full,
args=(in_file, resultid_image, planid, datatime, resolution_type))
p.close()
p.join()
print('完成全部的任务:{}'.format(sys._getframe().f_code.co_name))
def product_area_data(date_start=None, date_end=None, thread=THREAD, left_up_lon=None, left_up_lat=None,
right_down_lon=None, right_down_lat=None, resolution_type=None, resultid=None,
**kwargs):
"""
生成原始数据的中国区时次数据
3个产品，每个产品1张图像，共3张图像
:param date_start: 开始日期 datetime
:param date_end: 结束日期 datetime
:param thread:
:param left_up_lon:
:param left_up_lat:
:param right_down_lon:
:param right_down_lat:
:param resolution_type:
:param resultid:
:return:
"""
frequency = resultid.split('_')[-1]
if isinstance(date_start, str):
date_start = datetime.strptime(date_start, '%Y%m%d%H%M%S')
date_end = datetime.strptime(date_end, '%Y%m%d%H%M%S')
results = find_result_data(resultid=resultid, datatime_start=date_start, datatime_end=date_end,
resolution_type=resolution_type)
in_files = [row.address for row in results]
in_files.sort()
in_files_length = len(in_files)
print('找到的文件总数:{}'.format(in_files_length))
sat, sensor = resultid.split('_')[:2]
out_dir = os.path.join(DATA_ROOT_DIR, 'TmpData', '{sat}/SSI_{resolution_type}/Area/{frequency}'.format(
sat=sat, resolution_type=resolution_type, frequency=frequency))
out_dir = os.path.join(out_dir, '{:08.4f}_{:08.4f}_{:08.4f}_{:08.4f}'.format(left_up_lon, left_up_lat,
right_down_lon, right_down_lat))
print('开始生成区域数据')
print(left_up_lon, left_up_lat, right_down_lon, right_down_lat)
out_files = []
if DEBUG or thread == 1:
for in_file in in_files[:]:
filename = os.path.basename(in_file)
out_file = os.path.join(out_dir, filename)
r = area(in_file, out_file, left_up_lon, left_up_lat, right_down_lon, right_down_lat, resolution_type,
resultid)
if r is not None:
out_files.append(r)
else:
p = Pool(thread)
for in_file in in_files[:]:
filename = os.path.basename(in_file)
out_file = os.path.join(out_dir, filename)
out_files.append(out_file)
p.apply_async(area, args=(in_file, out_file, left_up_lon, left_up_lat, right_down_lon, right_down_lat,
resolution_type, resultid))
p.close()
p.join()
if len(out_files) > 0:
return out_files
else:
return
def product_point_data(date_start=None, date_end=None, lon=None, lat=None, point_file=None,
resolution_type=None, resultid=None, element=None, idx=None, ck=None,
sat_sensor=None, **kwargs):
sat_sensor = sat_sensor.upper()
sat, sensor = sat_sensor.split('_')
date_s = datetime.strptime(date_start, '%Y%m%d%H%M%S')
date_e = datetime.strptime(date_end, '%Y%m%d%H%M%S')
date_start_beijing = (date_s + relativedelta(hours=8)).strftime("%Y%m%d%H%M%S")
date_end_beijing = (date_e + relativedelta(hours=8)).strftime("%Y%m%d%H%M%S")
out_dir = os.path.join(DATA_ROOT_DIR, 'TmpData', '{}'.format(sat))
outname = '{sat}-_{sensor}--_{lon:07.3f}N_DISK_{lat:07.3f}E_L2-_SSI-_MULT_NOM_' \
'{date_start}_{date_end}_{resolution_type}_V0001_{site}.TXT'
if 'fy3d' in sat.lower():
loader = FY4ASSI
elif 'fy4a' in sat.lower():
loader = FY3DSSI
else:
raise ValueError('不支持的卫星：{}'.format(sat))
if 'Orbit' in resultid:
get_datetime = loader.get_date_time_orbit
elif 'Daily' in resultid:
get_datetime = loader.get_date_time_daily
elif 'Monthly' in resultid:
get_datetime = loader.get_date_time_monthly
elif 'Yearly' in resultid:
get_datetime = loader.get_date_time_yearly
else:
print('不支持的时间频率:{}'.format(resultid))
return
results = find_result_data(resultid=resultid, datatime_start=date_s, datatime_end=date_e,
resolution_type=resolution_type)
full_files = [row.address for row in results]
full_files.sort()
in_files_length = len(full_files)
print('找到的文件总数:{}'.format(in_files_length))
if in_files_length <= 0:
return
if point_file is None: # 单点数据
lon = float(lon)
lat = float(lat)
pre_dist = 0.08
index = get_point_index(lon, lat, idx, ck, pre_dist)
print('index', index)
if index is None:
print('没有找到最近点:lon {} lat:{}'.format(lon, lat))
return
datas = []
dates = []
values = []
count = 0
s = datetime.now()
thread_lock = threading.Lock()
for full_file in full_files:
if not os.path.isfile(full_file):
print('文件不存在: {}'.format(full_file))
count += 1
continue
_get_point_data(full_file, element, index, get_datetime, resultid,
dates, datas, values, thread_lock)
# thread_lock = threading.Lock()
# ts = []
# for full_file in full_files:
# if not os.path.isfile(full_file):
# print('文件不存在: {}'.format(full_file))
# count += 1
# continue
# t = threading.Thread(target=_get_point_data, args=(full_file, element, index, get_datetime, resultid,
# dates, datas, values, thread_lock))
# t.start()
# ts.append(t)
# for t in ts:
# t.join()
print('获取{}数据消耗时间:{}'.format(in_files_length, datetime.now() - s))
if len(datas) <= 0:
print('没有找到有效的点数据')
return
if element is not None: # 返回单点数据
dates_new = []
values_new = []
for date, value in sorted(zip(dates, values), key=lambda x: x[0]):
dates_new.append(date)
values_new.append(float(value[element]))
if len(values_new) > 0:
return {'date': dates_new, 'value': values_new, 'values': values}
else:
print('没有找到有效的点数据')
return
else: # 返回单点的TXT文件
out_file = os.path.join(out_dir, outname.format(sat=sat, sensor=sensor, lon=lon, lat=lat,
date_start=date_start_beijing,
date_end=date_end_beijing, resolution_type=resolution_type,
site=''))
if len(datas) > 0:
with open(out_file, 'w') as fp:
header = "Date\tItol\tIb\tId\tG0\tGt\tDNI\n"
fp.write(header)
datas.sort()
fp.writelines(datas)
return out_file
else:
print('没有找到有效的点数据')
return
else: # 多点数据
point_infos = []
indexs = []
with open(point_file, 'r') as fp:
fp.readline()
for row in fp.readlines():
point_name, lon, lat = row.strip().split()
lon = float(lon)
lat = float(lat)
pre_dist = 0.08
index = get_point_index(lon, lat, idx, ck, pre_dist)
if index is None:
print('没有找到最近点:lon {} lat:{}'.format(lon, lat))
continue
else:
point_infos.append((point_name, lon, lat))
print(type(index[0]))
indexs.append([int(index[0]), int(index[1])])
for info in point_infos:
print(info)
dates = []
values = []
count = 0
s = datetime.now()
thread_lock = threading.Lock()
for full_file in full_files:
if not os.path.isfile(full_file):
print('文件不存在: {}'.format(full_file))
count += 1
continue
_get_multi_point_data(full_file, indexs, get_datetime, resultid, dates, values, thread_lock)
print('获取{}数据消耗时间:{}'.format(in_files_length, datetime.now() - s))
print(values)
out_files = []
for i, info in enumerate(point_infos): # i是站点的索引值
point_name, lon, lat = info
print('站点名: {}'.format(point_name))
datas = []
for j, date in enumerate(dates): # j 是日期的索引值
print('日期：{}'.format(date))
datas_tmp = values[j]
data_format = {'date': date}
for element_ in datas_tmp:
data_ = datas_tmp[element_][i]
data_format[element_] = data_
# if data_ == 0:
# data_format[element_] = data_
# else:
# data_format[element_] = np.nan
data_str = '{date}\t{Itol:0.4f}\t{Ib:0.4f}\t{Id:0.4f}\t{G0:0.4f}\t{Gt:0.4f}\t{DNI:0.4f}\n'.format(
**data_format)
datas.append(data_str)
out_file = os.path.join(out_dir, outname.format(sat=sat, sensor=sensor, lon=lon, lat=lat,
date_start=date_start_beijing,
date_end=date_end_beijing, resolution_type=resolution_type,
site=point_name))
with open(out_file, 'w') as fp:
header = "Date\tItol\tIb\tId\tG0\tGt\tDNI\n"
fp.write(header)
datas.sort()
fp.writelines(datas)
out_files.append(out_file)
return out_files
# for full_file in full_files:
# if not os.path.isfile(full_file):
# print('文件不存在: {}'.format(full_file))
# count += 1
# continue
# t = threading.Thread(target=_get_multi_point_data, args=(full_file, indexs, get_datetime,
# dates, values, thread_lock))
# t.start()
# ts.append(t)
# for t in ts:
# t.join()
# print('获取{}数据消耗时间:{}'.format(in_files_length, datetime.now() - s))
# if len(datas) <= 0:
# print('没有找到有效的点数据')
# return
def _get_multi_point_data(full_file, indexs, get_datetime, resultid,
dates, values, thread_lock, **kwargs):
indexs = np.array(indexs, dtype=np.int)
datas_tmp = {}
length = len(indexs)
loader = FY4ASSI(full_file)
data_geter = {
'Itol': loader.get_ssi,
'Ib': loader.get_ib,
'Id': loader.get_id,
'G0': loader.get_g0,
'Gt': loader.get_gt,
'DNI': loader.get_dni,
}
elements = data_geter.keys()
for element_ in elements:
try:
data_tmp = data_geter[element_]()[indexs[:, 0], indexs[:, 1]]
except Exception:
data_tmp = [np.nan for i in range(length)]
datas_tmp[element_] = data_tmp
date = get_datetime(full_file)
if 'Orbit' in resultid:
date += relativedelta(hours=8)
date = date.strftime('%Y%m%d%H%M%S')
with thread_lock:
dates.append(date)
values.append(datas_tmp)
def _get_point_data(full_file, element, index, get_datetime, resultid,
dates, datas, values, thread_lock, **kwargs):
datas_tmp = {}
loader = FY4ASSI(full_file)
data_geter = {
'Itol': loader.get_ssi,
'Ib': loader.get_ib,
'Id': loader.get_id,
'G0': loader.get_g0,
'Gt': loader.get_gt,
'DNI': loader.get_dni,
}
elements = data_geter.keys()
for element_ in elements:
try:
data_tmp = data_geter[element_]()[index]
print(data_tmp)
if np.isnan(data_tmp):
datas_tmp[element_] = 0
else:
datas_tmp[element_] = data_tmp
except Exception as why:
if DEBUG:
print(why)
datas_tmp[element_] = 0
date = get_datetime(full_file)
if 'Orbit' in resultid:
date += relativedelta(hours=8)
date = date.strftime('%Y%m%d%H%M%S')
print(datas_tmp)
data_format = {'date': date}
for element_ in datas_tmp:
data_ = datas_tmp[element_]
if data_ != 0:
data_format[element_] = data_
else:
data_format[element_] = np.nan
data_str = '{date}\t{Itol:0.4f}\t{Ib:0.4f}\t{Id:0.4f}\t{G0:0.4f}\t{Gt:0.4f}\t{DNI:0.4f}\n'.format(
**data_format)
with thread_lock:
dates.append(date)
datas.append(data_str)
if datas_tmp.get(element) is not None:
values.append(datas_tmp)
if __name__ == '__main__':
# 数据入库
# fy4a_save_4km_orbit_data_in_database() # FY4A 4KM原始数据入库
# =================================生产数据==================================
# 轨道：生产数据：FY4A
# start = datetime.strptime('20170601000000', '%Y%m%d%H%M%S')
# end = datetime.strptime('20191231235959', '%Y%m%d%H%M%S')
# product_fy4a_4kmcorrect_disk_full_data_orbit(start, end) # FY4A 4KMCorrect
# start = datetime.strptime('20190601000000', '%Y%m%d%H%M%S')
# end = datetime.strptime('20190601235959', '%Y%m%d%H%M%S')
# product_fy4a_1km_disk_full_data_orbit(start, end) # FY4A 1KM
# start = datetime.strptime('20171015000000', '%Y%m%d%H%M%S')
# end = datetime.strptime('20171015235959', '%Y%m%d%H%M%S')
# product_fy4a_1kmcorrect_disk_full_data_orbit(start, end) # FY4A 1KMCorrect
# 日：生产数据：FY4A FY3D
# start = datetime.strptime('20190601000000', '%Y%m%d%H%M%S')
# end = datetime.strptime('20190630235959', '%Y%m%d%H%M%S')
# product_combine_data(start, end, frequency='Daily', resolution_type='4KM', sat_sensor='FY4A_AGRI') # FY4A 4KM
# start = datetime.strptime('20190601000000', '%Y%m%d%H%M%S')
# end = datetime.strptime('20190630235959', '%Y%m%d%H%M%S')
# product_combine_data(start, end, frequency='Daily', resolution_type='4KMCorrect', sat_sensor='FY4A_AGRI') # FY4A 4KMCorrect
# start = datetime.strptime('20190601000000', '%Y%m%d%H%M%S')
# end = datetime.strptime('20190602235959', '%Y%m%d%H%M%S')
# product_combine_data(start, end, frequency='Daily', resolution_type='1KM', sat_sensor='FY4A_AGRI') # FY4A 1KM
# start = datetime.strptime('20171015000000', '%Y%m%d%H%M%S')
# end = datetime.strptime('20171015235959', '%Y%m%d%H%M%S')
# product_combine_data(start, end, frequency='Daily', resolution_type='1KMCorrect', sat_sensor='FY4A_AGRI') # FY4A 1KMCorrect
# start = datetime.strptime('20190501000000', '%Y%m%d%H%M%S')
# end = datetime.strptime('20190501235959', '%Y%m%d%H%M%S')
# fy3d_product_1km_daily_data(start, end) # FY3D 1KM
#
# # 月：生产数据：FY4A FY3D
# start = datetime.strptime('20190601000000', '%Y%m%d%H%M%S')
# end = datetime.strptime('20190630235959', '%Y%m%d%H%M%S')
# product_combine_data(start, end, frequency='Monthly', resolution_type='4KM', sat_sensor='FY4A_AGRI') # FY4A 4KM
# product_combine_data(start, end, frequency='Monthly', resolution_type='4KMCorrect', sat_sensor='FY4A_AGRI') # FY4A 4KMCorrect
# product_combine_data(start, end, frequency='Monthly', resolution_type='1KM', sat_sensor='FY4A_AGRI') # FY4A 1KM
# product_combine_data(start, end, frequency='Monthly', resolution_type='1KMCorrect', sat_sensor='FY4A_AGRI') # FY4A 1KMCorrect
# product_combine_data(start, end, frequency='Monthly', resolution_type='1KM', sat_sensor='FY3D_MERSI') # FY3D 1KM
#
# # 年：生产数据：FY4A FY3D
# start = datetime.strptime('20190601000000', '%Y%m%d%H%M%S')
# end = datetime.strptime('20190630235959', '%Y%m%d%H%M%S')
# product_combine_data(start, end, frequency='Yearly', resolution_type='4KM', sat_sensor='FY4A_AGRI') # FY4A 4KM
# product_combine_data(start, end, frequency='Yearly', resolution_type='4KMCorrect', sat_sensor='FY4A_AGRI') # FY4A 4KMCorrect
# product_combine_data(start, end, frequency='Yearly', resolution_type='1KM', sat_sensor='FY4A_AGRI') # FY4A 1KM
# product_combine_data(start, end, frequency='Yearly', resolution_type='1KMCorrect', sat_sensor='FY4A_AGRI') # FY4A 1KMCorrect
# product_combine_data(start, end, frequency='Yearly', resolution_type='1KM', sat_sensor='FY3D_MERSI') # FY3D 1KM
#
# # 轨道：绘图：FY4A
# start = datetime.strptime('20190410000000', '%Y%m%d%H%M%S')
# end = datetime.strptime('20190410235959', '%Y%m%d%H%M%S')
# product_image(start, end, frequency='Orbit', resolution_type='4KM', sat_sensor='FY4A_AGRI') # FY4A 4KM
# product_image(start, end, frequency='Orbit', resolution_type='4KMCorrect', sat_sensor='FY4A_AGRI') # FY4A 4KMCorrect
# product_image(start, end, frequency='Orbit', resolution_type='1KM', sat_sensor='FY4A_AGRI') # FY4A 1KM
# product_image(start, end, frequency='Orbit', resolution_type='1KMCorrect', sat_sensor='FY4A_AGRI') # FY4A 1KMCorrect
#
# # 日：绘图：FY4A FY3D
# product_image(start, end, frequency='Daily', resolution_type='4KM', sat_sensor='FY4A_AGRI') # FY4A 4KM
# start = datetime.strptime('20180901000000', '%Y%m%d%H%M%S')
# end = datetime.strptime('20180902000000', '%Y%m%d%H%M%S')
# product_image(start, end, frequency='Daily', resolution_type='4KMCorrect', sat_sensor='FY4A_AGRI') # FY4A 4KMCorrect
# product_image(start, end, frequency='Daily', resolution_type='1KM', sat_sensor='FY4A_AGRI') # FY4A 1KM
# product_image(start, end, frequency='Daily', resolution_type='1KMCorrect', sat_sensor='FY4A_AGRI') # FY4A 1KMCorrect
start = datetime.strptime('20190101000000', '%Y%m%d%H%M%S')
end = datetime.strptime('20190101000000', '%Y%m%d%H%M%S')
product_image(start, end, frequency='Daily', resolution_type='1KM', sat_sensor='FY3D_MERSI') # FY3D 1KM
#
# # 月：绘图：FY4A FY3D
# product_image(start, end, frequency='Monthly', resolution_type='4KM', sat_sensor='FY4A_AGRI') # FY4A 4KM
# product_image(start, end, frequency='Monthly', resolution_type='4KMCorrect', sat_sensor='FY4A_AGRI') # FY4A 4KMCorrect
# product_image(start, end, frequency='Monthly', resolution_type='1KM', sat_sensor='FY4A_AGRI') # FY4A 1KM
# product_image(start, end, frequency='Monthly', resolution_type='1KMCorrect', sat_sensor='FY4A_AGRI') # FY4A 1KMCorrect
# product_image(start, end, frequency='Monthly', resolution_type='1KM', sat_sensor='FY3D_MERSI') # FY3D 1KM