#%%
import inspect
from pathlib import Path
import json
import os
from typing import Union, Dict
from types import SimpleNamespace
from dataclasses import dataclass, asdict
import fnmatch
from astropy.time import Time
from astropy.io import fits
from ezphot.imageobjects import BaseImage#, Logger
#%%
@dataclass
class StepStatus:
status: bool = False
update_time: str = None
def update(self, status=True):
self.status = status
self.update_time = Time.now().isot
def to_dict(self):
return asdict(self)
class Status:
"""Manages image processing steps with dot-access and timestamp tracking."""
PROCESS_STEPS = [
"BIASCOR", "DARKCOR"
]
def __init__(self, **kwargs):
# Initialize all process steps
self._steps = {}
for step in self.PROCESS_STEPS:
value = kwargs.get(step, None)
if isinstance(value, dict):
self._steps[step] = {
"status": value.get("status", False),
"update_time": value.get("update_time", None)
}
else:
self._steps[step] = {
"status": False,
"update_time": None
}
def __getattr__(self, name):
if '_steps' in self.__dict__ and name in self.__dict__['_steps']:
return self.__dict__['_steps'][name]
raise AttributeError(f"'Status' object has no attribute '{name}'")
def __setattr__(self, name, value):
if name == "_steps":
super().__setattr__(name, value)
elif '_steps' in self.__dict__ and name in self.__dict__['_steps']:
if isinstance(value, dict) and "status" in value:
self.__dict__['_steps'][name] = value
else:
raise ValueError(f"Status for '{name}' must be a dict with 'status' and 'update_time'")
else:
super().__setattr__(name, value)
def update(self, process_name, status: bool = True):
if process_name in self._steps:
self._steps[process_name]["status"] = status
self._steps[process_name]["update_time"] = Time.now().isot
else:
raise ValueError(f"Invalid process name: {process_name}")
def copy(self):
return Status.from_dict(self.to_dict())
def to_dict(self):
return self._steps
@classmethod
def from_dict(cls, data):
return cls(**data)
def __repr__(self):
lines = [f"{k}: {v}" for k, v in self._steps.items()]
return "Status ============================================\n " + "\n ".join(lines) + "\n==================================================="
class Info:
INFO_FIELDS = [
"SAVEPATH", "BIASPATH", "DARKPATH", "OBSERVATORY",
"CCD", "TELKEY", "TELNAME", "OBSDATE", "NAXIS1", "NAXIS2", "PIXELSCALE",
"OBJNAME", "IMGTYPE", "FILTER", "BINNING", "EXPTIME", "GAIN", "EGAIN"
]
def __init__(self, **kwargs):
self._fields = {field: kwargs.get(field, None) for field in self.INFO_FIELDS}
def __getattr__(self, name):
if name in self._fields:
return self._fields[name]
raise AttributeError(f"'Info' object has no attribute '{name}'")
def __setattr__(self, name, value):
if name == "_fields":
super().__setattr__(name, value)
elif name in self._fields:
self._fields[name] = value
else:
raise AttributeError(f"'Info' object has no attribute '{name}'")
def update(self, key, value):
if key in self._fields:
self._fields[key] = value
else:
print(f"WARNING: Invalid key: {key}")
def copy(self):
return Info.from_dict(self.to_dict())
def to_dict(self):
return self._fields
@classmethod
def from_dict(cls, data):
return cls(**{k: data.get(k) for k in cls.INFO_FIELDS})
def __repr__(self):
lines = [f"{k}: {v}" for k, v in self._fields.items()]
return "Info ============================================\n " + "\n ".join(lines) + "\n==================================================="
#%%
[docs]
class CalibrationImage(BaseImage):
"""
Class representing a calibration FITS image (e.g., bias or dark frame).
Inherits from `BaseImage` and provides methods for managing calibration image metadata,
processing status tracking, and handling associated products like logs, masks, and status files.
This class is used to manage bias or dark frames and is typically used in preprocessing steps
like bias correction or dark subtraction.
Parameters
----------
path : str or Path
Path to the calibration FITS image.
telinfo : dict, optional
Telescope metadata dictionary (e.g., observatory name, CCD ID, pixel scale).
status : Status, optional
Status object tracking processing completion for each calibration step.
If not provided, status is initialized or loaded from disk.
load : bool, optional
Whether to automatically load header and status from the file at initialization.
"""
[docs]
def __init__(self, path: Union[Path, str], telinfo : dict = None, status: Status = None, load: bool = True):
path = Path(path)
super().__init__(path = path, telinfo = telinfo)
# Initialize Status and Info
self.status = Status()
# self._logger = None
# Initialize or load status
if load:
# Load status and info if paths exist
self.header
if self.savepath.statuspath is not None:
if self.savepath.statuspath.exists():
self.status = self.load_status()
else:
raise ValueError("WARNING: Status path is not defined. Check the required header keys: OBSERVATORY, TELKEY, IMGTYPE, TELNAME")
self._check_status()
if status is not None:
self.status = status
def __repr__(self):
return (
f"CalibrationImage(\n"
f" is_exists = {self.is_exists},\n"
f" is_saved = {self.is_saved},\n"
f" data_load = {self.is_data_loaded},\n"
f" header_load = {self.is_header_loaded},\n"
f" imgtype = {self.imgtype},\n"
f" exptime = {self.exptime},\n"
f" filter = {self.filter},\n"
f" path = {self.path},\n"
f" savedir = {self.savedir}\n"
f")"
)
def help(self):
# Get all public methods from the class, excluding `help`
methods = [
(name, obj)
for name, obj in inspect.getmembers(self.__class__, inspect.isfunction)
if not name.startswith("_") and name != "help"
]
# Build plain text list with parameters
lines = []
for name, func in methods:
sig = inspect.signature(func)
params = [str(p) for p in sig.parameters.values() if p.name != "self"]
sig_str = f"({', '.join(params)})" if params else "()"
lines.append(f"- {name}{sig_str}")
# Final plain text output
help_text = ""
print(f"Help for {self.__class__.__name__}\n{help_text}\n\nPublic methods:\n" + "\n".join(lines))
def copy(self):
"""
Make a deep copy of the CalibrationImage instance.
Parameters
----------
None
Returns
-------
new_instance : CalibrationImage
A deep copy of the CalibrationImage instance.
"""
from copy import deepcopy
new_instance = CalibrationImage(
path=self.path,
telinfo=deepcopy(self.telinfo),
status=Status.from_dict(self.status.to_dict()),
load=False
)
# Manually copy loaded data and header
new_instance.data = None if self.data is None else self.data.copy()
new_instance.header = None if self.header is None else self.header.copy()
# Preserve savedir if manually set
if hasattr(self, '_savedir') and self._savedir is not None:
new_instance._savedir = self._savedir
return new_instance
def write(self, verbose: bool = True):
"""Write CalibrationImage data to savepath.
Parameters
----------
None
Returns
-------
None
"""
if self.data is None:
raise ValueError("Cannot save CalibrationImage: data is not registered.")
if self.savepath.savepath is None:
raise ValueError("Cannot save CalibrationImage: save path is not defined.")
os.makedirs(self.savepath.savedir, exist_ok=True)
fits.writeto(self.savepath.savepath, self.data, self.header, overwrite=True)
self.helper.print(f'Saved: {self.savepath.savepath}', verbose)
self.save_status()
self.save_info()
self.path = self.savepath.savepath # Update path to saved file
self.loaded = True
def remove(self,
remove_main: bool = True,
remove_connected_files: bool = True,
skip_patterns: list = [],
verbose: bool = True) -> dict:
removed = {}
def try_remove(p: Union[str, Path]):
p = Path(p)
if p.exists() and p.is_file():
try:
p.unlink()
if verbose:
print(f"[REMOVE] {p}")
return True
except Exception as e:
if verbose:
print(f"[FAILED] {p} - {e}")
return False
return False
def should_skip(p: Path):
for pattern in skip_patterns:
if fnmatch.fnmatch(p.name, pattern):
return True
return False
# Remove main FITS file
if remove_main and self.path and self.path.is_file():
removed[str(self.path)] = try_remove(self.path)
# Remove connected files
if remove_connected_files:
for f in self.connected_files:
if should_skip(f):
if verbose:
print(f"[SKIP] {f} (matched skip pattern)")
continue
removed[str(f)] = try_remove(f)
return removed
def load_status(self):
""" Load processing status from a JSON file.
Parameters
----------
None
Returns
-------
status : Status
Status object loaded from the JSON file.
"""
if self.savepath.statuspath is None:
raise ValueError("Cannot load CalibrationImage status: save path is not defined.")
with open(self.savepath.statuspath, 'r') as f:
status_data = json.load(f)
return Status.from_dict(status_data)
def save_status(self):
""" Save processing status to a JSON file.
Parameters
----------
None
Returns
-------
None
"""
if self.savepath.statuspath is None:
raise ValueError("Cannot save CalibrationImage status: save path is not defined.")
with open(self.savepath.statuspath, 'w') as f:
json.dump(self.status.to_dict(), f, indent=4)
def update_status(self, process_name):
""" Mark a process as completed and update time.
Parameters
----------
process_name : str
Name of the process to update.
"""
self.status.update(process_name)
def save_info(self):
""" Save processing info to a JSON file.
Parameters
----------
None
Returns
-------
None
"""
if self.savepath.infopath is None:
raise ValueError("Cannot save CalibrationImage info: save path is not defined.")
with open(self.savepath.infopath, 'w') as f:
json.dump(self.info.to_dict(), f, indent=4)
# @property
# def logger(self):
# if self._logger is None and self.savepath.loggerpath is not None:
# self._logger = Logger(logger_name=str(self.savepath.loggerpath)).log()
# return self._logger
@property
def info(self):
""" Register necessary info fields """
info = Info(
SAVEPATH = str(self.savepath.savepath), OBSERVATORY = self.observatory, CCD = self.ccd,
TELKEY = self.telkey, TELNAME = self.telname, OBSDATE = self.obsdate,
NAXIS1 = self.naxis1, NAXIS2 = self.naxis2, PIXELSCALE = self.telinfo['pixelscale'],
OBJNAME = self.objname, IMGTYPE = self.imgtype, FILTER = self.filter,
BINNING = self.binning, EXPTIME = self.exptime, GAIN = self.gain, EGAIN = self.egain)
header = self.header
if header is not None:
for key in info.INFO_FIELDS:
if key in self._key_variants:
key_variants = self._key_variants[key]
for variant in key_variants:
if variant in header:
info.update(key, header[variant])
else:
pass
return info
@property
def savedir(self) -> Union[Path, None]:
"""
Return the directory where this image and associated files will be saved.
If a custom savedir was set, use it. Otherwise, build from config and metadata.
Returns None if required fields are not available.
"""
# Use manually set savedir if provided
if hasattr(self, '_savedir') and self._savedir is not None:
return self._savedir
# Check required fields
required_fields = [self.observatory, self.telkey, self.imgtype, self.telname]
if any(v is None for v in required_fields):
return self.path.parent # Return parent directory if any field is missing
# Default construction from config
base_dir = Path(self.config['CALIBDATA_DIR'])
return base_dir / self.observatory / self.telkey / self.imgtype / self.telname
@savedir.setter
def savedir(self, value: Union[str, Path]):
"""
Set a custom directory for saving the image and associated products.
"""
if value is None:
self._savedir = None
return
value = Path(value)
if value.is_file():
value = value.parent
self._savedir = value
@property
def savepath(self):
"""Dynamically builds save paths based on current header info"""
savedir = self.savedir
filename = self.path.name
return SimpleNamespace(
savedir=savedir,
savepath=savedir / filename,
statuspath=savedir / (filename + '.status'),
infopath=savedir / (filename + '.info'),
bpmaskpath= savedir / (filename + '.bpmask'),
# loggerpath=savedir / (filename + '.log')
)
@property
def is_saved(self):
""" Check if the image has been saved """
if self.savepath.savepath is None:
return False
return self.savepath.savepath.exists()
@property
def connected_files(self) -> set:
"""
Return all associated files that would be deleted in `remove()` if remove_connected_files=True,
excluding the main FITS file (`self.path`).
Only includes existing files, not directories.
Returns
-------
set of Path: All connected auxiliary files.
"""
connected = set()
# Files in same directory that start with the same base name (excluding self.path)
base_dir = self.path.parent
base_name = self.path.name
for f in base_dir.iterdir():
if f.is_file() and f.name.startswith(base_name) and f != self.path:
connected.add(f)
# Files explicitly listed in savepath (excluding self.path)
for p in vars(self.savepath).values():
if isinstance(p, Path) and p.exists() and p.is_file() and p != self.path:
connected.add(p)
return connected
def _check_status(self):
pass