def online_dark():
f = open(r"/home/wangxinhua/level1/Level1rev02/json.txt", 'r')
para = json.load(f)
f.close()
path = para['path'] #"/home/wangxinhua/20190518/HA"
redrive = para['redrive'] #"/home/wangxinhua/nvst"
dark_flag = int(para['dark_flag'])
flat_flag = int(para['flat_flag'])
darked_path = para['darked_path']
datapath, flatpath, darkpath = xyy.path_paser(path)
#path of a group of fits
try:
path.split(':')[1]
path = path[2:]
except Exception as e:
path = path[1:]
print(os.path.join(redrive, path, 'Dark', 'dark.fits'))
if os.path.exists(os.path.join(redrive, path, 'Dark', 'dark.fits')):
print('dark have been calculated,pass')
else:
for i in darkpath:
darkeddata = xyy.online_mean(i)
xyy.mkdir(os.path.join(redrive, path, 'Dark'))
#print(os.path.join(redrive,path,'Dark'))
xyy.writefits(os.path.join(redrive, path, 'Dark', 'dark.fits'),
darkeddata)
print('Dark is over')
def online_flat():
f = open(r"/home/wangxinhua/level1/Level1/json.txt", 'r')
para = json.load(f)
f.close()
path = para['path'] #"/home/wangxinhua/20190518/HA"
redrive = para['redrive'] #"/home/wangxinhua/nvst"
dark_flag = int(para['dark_flag'])
flat_flag = int(para['flat_flag'])
darked_path = para['darked_path']
datapath, flatpath, darkpath = xyy.path_paser(path)
#mean flat
darkdata = xyy.readfits(
os.path.join(redrive, path[1:], 'Dark', 'dark.fits'))[0]
for i in flatpath:
if os.path.exists(os.path.join(redrive, i[1:], 'flat.fits')):
print('flat have been calculated')
else:
xyy.mkdir(os.path.join(redrive, i[1:]))
flatdata = xyy.online_mean(i)
xyy.writefits(os.path.join(redrive, i[1:], 'flat.fits'), flatdata)
print(os.path.join(redrive, i[1:], 'flat.fits'))
#(data-dark)/(flat-dark)*max(flat-dark)
for j in datapath:
bandoff = i.split('/')[-1]
if bandoff in j and bandoff in i:
datafitspath = os.listdir(j)
for k in datafitspath:
xyy.mkdir(os.path.join(redrive, j[1:]))
print(os.path.join(redrive, j[1:], k))
data = xyy.readfits(os.path.join(j, k))[0]
xyy.writefits(os.path.join(redrive, j[1:],
k), (data - darkdata) /
(flatdata - darkdata) *
np.max(flatdata - darkdata))
'''elif 'CENT' in j and 'CENT' in i:
datafitspath = os.listdir(j)
for k in datafitspath:
xyy.mkdir(os.path.join(redrive,j[1:]))
print(os.path.join(redrive,j[1:],k))
data = xyy.readfits(os.path.join(j,k))[0]
xyy.writefits(os.path.join(redrive,j[1:],k),(data-darkdata)/(flatdata-darkdata)*np.max(flatdata-darkdata))
elif 'R050' in j and 'R050' in i:
datafitspath = os.listdir(j)
for k in datafitspath:
xyy.mkdir(os.path.join(redrive,j[1:]))
print(os.path.join(redrive,j[1:],k))
data = xyy.readfits(os.path.join(j,k))[0]
xyy.writefits(os.path.join(redrive,j[1:],k),(data-darkdata)/(flatdata-darkdata)*np.max(flatdata-darkdata))'''
print('flat is over')
def online_dark(path):
f = open(r"/home/wangxinhua/level1/Level1rev06/json.txt", 'r')
para = json.load(f)
f.close()
#path = para['path']#"/home/wangxinhua/20190518/HA"
archivedarkdir = para['archivedarkdir']
redrive = para['redrive'] #"/home/wangxinhua/nvst"
dark_flag = int(para['dark_flag'])
darked_path = para['darked_path']
datapath, flatpath, darkpath = xyy.path_paser(path)
#path of a group of fits
flag = 1
try:
os.makedirs(archivedarkdir)
except Exception as e:
print(e)
today_time = time.strftime("%Y%m%d", time.localtime())
workdir = path
use_other_dark = 0
t0 = 0 #count time
while flag:
if use_other_dark == 0 and t0 < 300:
if darkpath != None:
print('Using ' + darkpath[0])
flag = 0
operating_sys = platform.system()
if operating_sys == 'Linux':
try:
path = path[path.index('\\') + 1:]
except ValueError:
path = path[path.index('/') + 1:]
elif operating_sys == 'Windows':
path = path.split(':')[1]
try:
path = path[path.index('\\') + 1:]
except ValueError:
path = path[path.index('/') + 1:]
print(os.path.join(redrive, path, 'Dark', 'dark.fits'))
#decide which dark will be used writting
if os.path.exists(
os.path.join(redrive, path, 'Dark', 'dark.fits')):
print('dark have been calculated,pass')
else:
for i in darkpath:
darkeddata = xyy.online_mean(i)
xyy.mkdir(os.path.join(redrive, path, 'Dark'))
#print(os.path.join(redrive,path,'Dark'))
xyy.writefits(
os.path.join(redrive, path, 'Dark', 'dark.fits'),
darkeddata)
#copy dark file to a folder
copyfile(os.path.join(redrive, path, 'Dark', 'dark.fits'),
archivedarkdir + '/' + today_time + 'dark.fits')
dark_log = open(
r'/home/wangxinhua/Observation_log/' + today_time + '.log',
'a+')
dark_log.writelines('\nused Dark:' + os.path.join(
redrive, path, 'Dark',
'dark.fits')) #which dark file is used writting
dark_log.close()
else:
datapath, flatpath, darkpath = xyy.path_paser(path)
flag = 1
time.sleep(1)
t0 += 1
else:
#5min have no new dark file then use the latest dark file
#define a folder that record all dark fits
latestdarkpath = os.listdir(archivedarkdir)[-1]
latestdarkfile = archivedarkdir + '\\' + latestdarkpath
dark_log = open(
r'/home/wangxinhua/Observation_log/' + today_time + '.log',
'w')
dark_log.writelines(
'used Dark:' +
latestdarkfile) #which dark file is used writting
dark_log.close()
print('Dark is over')
