Fixed a lowercase name match bug in loading standard stars.

.github/workflows/conda-publish.yml

@@ -0,0 +1,25 @@
+name: publish_conda
+
+on:
+  release:
+    types: [published]
+
+jobs:
+  publish:
+    runs-on: ubuntu-latest
+    steps:
+
+    - name: Checkout
+      uses: actions/checkout@v2
+
+    - name: publish-to-conda
+      uses: amauryval/publish_conda_package_action@1.2.0
+      with:
+        # CondaDir: locate the directory containing your meta.yml, conda_build_config.yaml (...) files
+        CondaDir: 'conda'
+        # Channels: You can add more channel with a space separator
+        Channels: 'conda-forge' 
+        # Platforms: remove one or more of these platforms
+        Platforms: 'osx-64 linux-64 win-64 noarch'
+        CondaUsername: ${{ secrets.CONDA_USERNAME }}
+        CondaPassword: ${{ secrets.CONDA_PASSWORD }}

conda/bld.dat

@@ -0,0 +1,2 @@
+"%PYTHON%" setup.py install
+if errorlevel 1 exit 1

conda/build.sh

@@ -0,0 +1 @@
+pip install .

conda/meta.yaml

@@ -0,0 +1,32 @@
+# get version from setup.py
+{% set data = load_setup_py_data(setup_file='../setup.py', from_recipe_dir=True) %}
+
+package:
+  name: aspired
+  version: {{ data.get('version') }}
+
+source:
+  path: ../
+
+build:
+  noarch: python
+
+requirements:
+  build:
+    - python>=3.7
+    - setuptools
+  run:
+    {% for req in data.get('install_requires', []) %}
+      - {{ req }}
+    {% endfor %}
+
+test:
+ imports:
+   - aspired
+
+about:
+  home: https://github.com/cylammarco/ASPIRED
+  license: GPL-3.0
+  license_file: license
+  description: The Automated SpectroPhotometric REDuction (ASPIRED) toolkit is aimed to be as general as possible with high flexibility such that it can work with different instruments. It offers a flexible set of functions for users to refine and tailor-make automated pipelines for different instruments. ASPIRED is entirely Python-based and is independent of iraf.
+  summary: Automated SpectroPhotometric Image REDuction (ASPIRED)

src/aspired/image_reduction.py

@@ -2053,7 +2053,7 @@ def load_data(self):
                 )
                 self.dark_filename.append(self.dark_list[i].split("/")[-1])
 
-            # combine the arc frames
+            # combine the dark frames
             self.dark_main = self.combine_dark()
 
         # Get the flats if available
@@ -2080,7 +2080,7 @@ def load_data(self):
                 )
                 self.flat_filename.append(self.flat_list[i].split("/")[-1])
 
-            # combine the arc frames
+            # combine the flat frames
             self.flat_main = self.combine_flat()
 
         # Get the biases if available
@@ -2105,7 +2105,7 @@ def load_data(self):
                 )
                 self.bias_filename.append(self.bias_list[i].split("/")[-1])
 
-            # combine the arc frames
+            # combine the bias frames
             self.bias_main = self.combine_bias()
 
     def add_light(self, light, header, exposure_time):

src/aspired/onedspec.py

@@ -5091,7 +5091,7 @@ def set_atmospheric_extinction(
         else:
 
             filename = pkg_resources.resource_filename(
-                "aspired", "extinction/{}_atm_extinct.txt".format(location)
+                "aspired", "extinction/{}_atm_extinct.txt".format(location.lower())
             )
             extinction_table = np.loadtxt(filename, delimiter=",")
             self.extinction_func = interp1d(
@@ -5175,7 +5175,7 @@ def apply_atmospheric_extinction_correction(
 
                 standard_am = standard_airmass
                 self.logger.info(
-                    "Airmass is set to be {}.".format(standard_am)
+                    "Standard airmass is set to be {}.".format(standard_am)
                 )
 
             if isinstance(standard_airmass, str):
@@ -5195,7 +5195,7 @@ def apply_atmospheric_extinction_correction(
                         "Keyword for airmass: {} cannot be found "
                         "in header.".format(standard_airmass)
                     )
-                    self.logger.warning("Airmass is set to be 1.0")
+                    self.logger.warning("Standard airmass is set to be 1.0")
 
         else:
 
@@ -5212,7 +5212,7 @@ def apply_atmospheric_extinction_correction(
                     "Keyword for airmass: AIRMASS cannot be found "
                     "in header."
                 )
-                self.logger.warning("Airmass is set to be 1.0")
+                self.logger.warning("Standard airmass is set to be 1.0")
 
         if spec_id is not None:
 
@@ -5243,6 +5243,9 @@ def apply_atmospheric_extinction_correction(
                 if isinstance(science_airmass, (int, float)):
 
                     science_am = science_airmass
+                    self.logger.info(
+                        "Science airmass is set to be {}.".format(standard_am)
+                    )
 
                 if isinstance(science_airmass, str):
 
@@ -5256,6 +5259,9 @@ def apply_atmospheric_extinction_correction(
 
                         self.logger.warning(str(e))
                         science_am = 1.0
+                        self.logger.info(
+                            "Science airmass is set to be 1.0."
+                        )
 
             else:
 
@@ -5264,11 +5270,17 @@ def apply_atmospheric_extinction_correction(
                     try:
 
                         science_am = science_spec.spectrum_header["AIRMASS"]
+                        self.logger.info(
+                            f"Science airmass is set to be {science_am}."
+                        )
 
                     except Exception as e:
 
                         self.logger.warning(str(e))
                         science_am = 1.0
+                        self.logger.info(
+                            "Science airmass is set to be 1.0."
+                        )
 
             if science_am is None:
 

src/aspired/twodspec.py

@@ -242,8 +242,9 @@ def add_data(self, data, header=None):
             )
 
         # If it is a fits.hdu.image.PrimaryHDU object
-        elif isinstance(data, fits.hdu.image.PrimaryHDU) or isinstance(
-            data, fits.hdu.image.ImageHDU
+        elif (
+            isinstance(data, fits.hdu.image.PrimaryHDU)
+            or isinstance(data, fits.hdu.image.ImageHDU)
         ):
 
             self.img = data.data
@@ -281,6 +282,8 @@ def add_data(self, data, header=None):
             else:
                 self.set_header(header)
 
+            self.logger.info("An ImageReduction is loaded as data.")
+
             if data.arc_main is not None:
 
                 self.arc = data.arc_main
@@ -1239,8 +1242,9 @@ def add_bad_mask(self, bad_mask=None):
             )
 
         # If it is a fits.hdu.image.PrimaryHDU object
-        elif isinstance(bad_mask, fits.hdu.image.PrimaryHDU) or isinstance(
-            bad_mask, fits.hdu.image.ImageHDU
+        elif (
+            isinstance(bad_mask, fits.hdu.image.PrimaryHDU)
+            or isinstance(bad_mask, fits.hdu.image.ImageHDU)
         ):
             self.bad_mask = bad_mask.data
 
@@ -1349,8 +1353,9 @@ def add_arc(self, arc, header=None):
             )
 
         # If it is a fits.hdu.image.PrimaryHDU object
-        elif isinstance(arc, fits.hdu.image.PrimaryHDU) or isinstance(
-            arc, fits.hdu.image.ImageHDU
+        elif (
+            isinstance(arc, fits.hdu.image.PrimaryHDU)
+            or isinstance(arc, fits.hdu.image.ImageHDU)
         ):
 
             self.arc = arc.data
@@ -1917,25 +1922,27 @@ def set_header(self, header):
 
             self.logger.info('The "header" provided is None. Doing nothing.')
 
-        if self.exptime_is_default_value:
+        if self.header is not None:
 
-            self.set_exptime()
+            if self.exptime_is_default_value:
 
-        if self.airmass_is_default_value:
+                self.set_exptime()
 
-            self.set_airmass()
+            if self.airmass_is_default_value:
 
-        if self.seeing_is_default_value:
+                self.set_airmass()
 
-            self.set_seeing()
+            if self.seeing_is_default_value:
 
-        if self.readnoise_is_default_value:
+                self.set_seeing()
 
-            self.set_readnoise()
+            if self.readnoise_is_default_value:
 
-        if self.gain_is_default_value:
+                self.set_readnoise()
 
-            self.set_gain()
+            if self.gain_is_default_value:
+
+                self.set_gain()
 
     def _gaus(self, x, a, b, x0, sigma):
         """