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In merger fixed timezone issue and added new font and black frame insertion

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Jeremy Karst 2024-05-25 03:10:46 -04:00
parent 99c771322b
commit 2fa1297afc
2 changed files with 32 additions and 20 deletions
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merger_FITS.py
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@ -9,7 +9,7 @@ import queue
import traceback import traceback
import tqdm import tqdm
from PIL import Image, ImageDraw from PIL import Image, ImageDraw, ImageFont
import numpy as np import numpy as np
from matplotlib import pyplot as plt from matplotlib import pyplot as plt
from astropy.io import fits from astropy.io import fits
@ -286,6 +286,8 @@ def generate_composite(work_queue, result_queue):
gammas = [0.375, 0.40, 00.425, 00.45, 00.475, 00.5] gammas = [0.375, 0.40, 00.425, 00.45, 00.475, 00.5]
trimx = 64 trimx = 64
trimy = 100 trimy = 100
fnt1 = ImageFont.truetype("OpenSans-Regular.ttf", size = 24)
fnt2 = ImageFont.truetype("OpenSans-Regular.ttf", size = 16)
while True: while True:
try: try:
job = work_queue.get() job = work_queue.get()
@ -293,14 +295,21 @@ def generate_composite(work_queue, result_queue):
result_queue.cancel_join_thread() result_queue.cancel_join_thread()
return return
files_this_timestamp, timestamp, processed_images_dir, synthetic_data = job files_this_timestamp, timestamp, processed_images_dir, synthetic_data = job
synthetic_filepath = os.path.join(processed_images_dir, f"Composite-{int(timestamp)}_s.jpg")
normal_filepath = os.path.join(processed_images_dir, f"Composite-{int(timestamp)}.jpg")
filepath = None
if synthetic_data: if synthetic_data:
filename = f"Composite-{int(timestamp)}_s.jpg" if os.path.isfile(synthetic_filepath):
else:
filename = f"Composite-{int(timestamp)}.jpg"
filepath = os.path.join(processed_images_dir, filename)
if os.path.isfile(filepath):
result_queue.put(("Exists", timestamp)) result_queue.put(("Exists", timestamp))
continue continue
filepath = synthetic_filepath
else:
if os.path.isfile(synthetic_filepath):
os.remove(synthetic_filepath)
if os.path.isfile(normal_filepath):
result_queue.put(("Exists", timestamp))
continue
filepath = normal_filepath
base_imgs = [] base_imgs = []
for i in range(6): for i in range(6):
@ -402,14 +411,14 @@ def generate_composite(work_queue, result_queue):
img = Image.fromarray((255 * composite_image_data).astype('uint8')) img = Image.fromarray((255 * composite_image_data).astype('uint8'))
timestring = datetime.datetime.fromtimestamp(timestamp, tz = datetime.UTC).strftime('%Y-%m-%d %H:%M:%S') timestring = datetime.datetime.fromtimestamp(timestamp, tz = datetime.UTC).strftime('%Y-%m-%d %H:%M:%S')
ImageDraw.Draw(img).text((605, 15), f"NOAA GOES Satellite SUVI Composite - {timestring} UTC",(255,255,255), font_size = 24) ImageDraw.Draw(img).text((602, 15), f"NOAA GOES Satellite SUVI Composite - {timestring} UTC",(255,255,255), font = fnt1)
for i in range(6): # Draw component angstrom labels for i in range(6): # Draw component angstrom labels
if i%2 == 0: if i%2 == 0:
xdimtxtoff = 5 xdimtxtoff = 5
else: else:
xdimtxtoff = composite_image_data.shape[1] - 44 xdimtxtoff = composite_image_data.shape[1] - 44
ydimtxtoff = i//2*new_dimy + new_dimy / 2.0 - 6 ydimtxtoff = i//2*new_dimy + new_dimy / 2.0 - 14
ImageDraw.Draw(img).text((xdimtxtoff, ydimtxtoff), image_names[i], font_size = 16) ImageDraw.Draw(img).text((xdimtxtoff, ydimtxtoff), image_names[i], font = fnt2)
img.save(filepath, quality = 95) img.save(filepath, quality = 95)
result_queue.put(("Created", timestamp)) result_queue.put(("Created", timestamp))
@ -432,12 +441,12 @@ if __name__ == "__main__":
r"..\Data\goes18\l2\data\suvi-l2-ci284\2024", r"..\Data\goes18\l2\data\suvi-l2-ci284\2024",
r"..\Data\goes18\l2\data\suvi-l2-ci304\2024",] r"..\Data\goes18\l2\data\suvi-l2-ci304\2024",]
processed_images_dir = r"..\composite\goes18" processed_images_dir = r"..\composite\goes18"
starttime = time.mktime(datetime.datetime(2024, 1, 1).timetuple()) starttime = time.mktime(datetime.datetime(2024, 1, 1, tzinfo=datetime.timezone.utc).timetuple())
stoptime = time.mktime(datetime.datetime(2025, 1, 1).timetuple()) stoptime = time.mktime(datetime.datetime(2025, 1, 1, tzinfo=datetime.timezone.utc).timetuple())
regex_filename = r"dr_suvi-l2-ci\d{3}_g(16|18)_s\S*\_f.fits$" regex_filename = r"dr_suvi-l2-ci\d{3}_g(16|18)_s\S*\_f.fits$"
nworkers = 20 nworkers = 20
max_time_gap = 10 max_time_gap = 3
file_prefixes = ["dr_suvi-l2-ci" + n[:-1] for n in image_names] file_prefixes = ["dr_suvi-l2-ci" + n[:-1] for n in image_names]
@ -456,6 +465,7 @@ if __name__ == "__main__":
ncreated = 0 ncreated = 0
nexists = 0 nexists = 0
nfailed = 0 nfailed = 0
black_image = Image.fromarray(np.zeros((1080, 1920, 3), dtype='uint8'))
try: try:
files_sorted_by_timestamp = defaultdict(list) files_sorted_by_timestamp = defaultdict(list)
found_files = 0 found_files = 0
@ -467,11 +477,9 @@ if __name__ == "__main__":
for f in files: for f in files:
if filename_tester.match(f): if filename_tester.match(f):
file_parts = f.split("_") file_parts = f.split("_")
measurement = file_parts[1] # measurement = file_parts[1]
sattelite = file_parts[2] # sattelite = file_parts[2]
measure_end_time = datetime.datetime.strptime(file_parts[4][1:16], "%Y%m%dT%H%M%S") measure_end_time = int(datetime.datetime.strptime(file_parts[4][1:16] + " +0000", "%Y%m%dT%H%M%S %z").timestamp())
measure_end_time.replace(tzinfo=datetime.timezone.utc)
measure_end_time = int(time.mktime(measure_end_time.timetuple()))
files_sorted_by_timestamp[measure_end_time].append(os.path.join(root,f)) files_sorted_by_timestamp[measure_end_time].append(os.path.join(root,f))
found_files += 1 found_files += 1
@ -531,8 +539,12 @@ if __name__ == "__main__":
synthetic_data = True synthetic_data = True
files_for_job.append(last_good_files[i]) files_for_job.append(last_good_files[i])
else: else:
print(f"Detected a gap of {time_gap} frames at {timestamp}, skipping.") print(f"Detected a gap of {time_gap} frames at {timestamp}, inserting black frames.")
continue filename = f"Composite-{int(timestamp)}_b.jpg"
filepath = os.path.join(processed_images_dir, filename)
if not os.path.isfile(filepath):
black_image.save(filepath, quality = 95)
break
if len(files_for_job) == 6: if len(files_for_job) == 6:
work_queue.put((files_for_job, timestamp, processed_images_dir, synthetic_data)) work_queue.put((files_for_job, timestamp, processed_images_dir, synthetic_data))
else: else: