-
Notifications
You must be signed in to change notification settings - Fork 8
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #79 from winter-telescope/calhunter
Calhunter
- Loading branch information
Showing
3 changed files
with
148 additions
and
40 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,139 @@ | ||
import copy | ||
import os | ||
|
||
import astropy.io | ||
import numpy as np | ||
import logging | ||
from winterdrp.processors.utils.image_selector import select_from_images | ||
from winterdrp.processors.utils.image_loader import ImageLoader, load_from_dir, BaseImageProcessor | ||
from winterdrp.errors import ImageNotFoundError | ||
|
||
logger = logging.getLogger(__name__) | ||
|
||
|
||
class CalRequirement: | ||
|
||
def __init__(self, target_name, required_field: str, required_values: str | list[str]): | ||
self.target_name = target_name | ||
self.required_field = required_field | ||
self.required_values = required_values | ||
self.success = False | ||
self.data = dict() | ||
|
||
def check_images(self, images, headers): | ||
|
||
new_images, new_headers = select_from_images( | ||
images, headers, | ||
header_key="TARGET", | ||
target_values=self.target_name | ||
) | ||
|
||
if len(new_images) > 0: | ||
for value in self.required_values: | ||
if value not in self.data.keys(): | ||
sub_images, sub_headers = select_from_images( | ||
new_images, new_headers, | ||
header_key=self.required_field, | ||
target_values=value | ||
) | ||
if len(sub_images) > 0: | ||
self.data[value] = [sub_images, sub_headers] | ||
|
||
self.success = len(self.data) == len(self.required_values) | ||
|
||
|
||
class CalHunter(ImageLoader): | ||
|
||
base_key = "calhunt" | ||
|
||
def __init__( | ||
self, | ||
requirements: CalRequirement | list[CalRequirement], | ||
*args, | ||
**kwargs | ||
): | ||
super().__init__(*args, **kwargs) | ||
|
||
if not isinstance(requirements, list): | ||
requirements = [requirements] | ||
|
||
self.requirements = requirements | ||
|
||
def _apply_to_images( | ||
self, | ||
images: list[np.ndarray], | ||
headers: list[astropy.io.fits.Header], | ||
) -> tuple[list[np.ndarray], list[astropy.io.fits.Header]]: | ||
|
||
requirements = copy.deepcopy(self.requirements) | ||
requirements = self.update_requirements(requirements, images, headers) | ||
|
||
latest_dir = os.path.join( | ||
self.input_img_dir, | ||
os.path.join(self.night_sub_dir, self.input_sub_dir) | ||
) | ||
|
||
preceding_dirs = [] | ||
|
||
for x in os.listdir(os.path.dirname(os.path.dirname(latest_dir))): | ||
if x[0] not in ["."]: | ||
if len(str(x)) == len(str(self.night)): | ||
try: | ||
if float(x) < float(self.night): | ||
preceding_dirs.append(x) | ||
except ValueError: | ||
pass | ||
|
||
ordered_nights = sorted(preceding_dirs)[::-1] | ||
|
||
while np.sum([x.success for x in requirements]) != len(requirements): | ||
|
||
if len(ordered_nights) == 0: | ||
raise ImageNotFoundError("Ran out of nights!") | ||
|
||
new_latest_night = ordered_nights[0] | ||
ordered_nights = ordered_nights[1:] | ||
|
||
try: | ||
|
||
logger.info(f"Checking night {new_latest_night}") | ||
|
||
dir_to_load = latest_dir.replace(self.night, new_latest_night) | ||
|
||
new_images, new_headers = load_from_dir( | ||
dir_to_load, open_f=self.open_raw_image | ||
) | ||
|
||
requirements = self.update_requirements(requirements, new_images, new_headers) | ||
|
||
except ImageNotFoundError: | ||
pass | ||
|
||
n_cal = 0 | ||
|
||
for requirement in requirements: | ||
for key, (cal_imgs, cal_headers) in requirement.data.items(): | ||
for i, cal_header in enumerate(cal_headers): | ||
if cal_header not in headers: | ||
images.append(cal_imgs[i]) | ||
headers.append(cal_header) | ||
n_cal += 1 | ||
|
||
if n_cal > 0: | ||
logger.warning(f"Some required calibration images were missing from image set. " | ||
f"Found {n_cal} additional calibration images from older nights") | ||
|
||
return images, headers | ||
|
||
@staticmethod | ||
def update_requirements( | ||
requirements: list[CalRequirement], | ||
images: list[np.ndarray], | ||
headers: list[astropy.io.fits.Header] | ||
) -> list[CalRequirement]: | ||
|
||
for requirement in requirements: | ||
if not requirement.success: | ||
requirement.check_images(images, headers) | ||
|
||
return requirements |