Merge pull request #166 from roman-corgi/walker_with_dataset

Use dataset instead of single frame for guessing recipes

corgidrp/walker.py

@@ -66,12 +66,13 @@ def autogen_recipe(filelist, outputdir, template=None):
     Returns:
         json: the JSON recipe to process the filelist
     """
-    # load the first frame to check what kind of data and identify recipe
-    first_frame = data.autoload(filelist[0])
+    # load the data to check what kind of recipe it is
+    dataset = data.Dataset(filelist)
+    first_frame = dataset[0]
 
     # if user didn't pass in template
     if template is None:
-        recipe_filename = guess_template(first_frame)
+        recipe_filename = guess_template(dataset)
 
         # load the template recipe
         recipe_filepath = os.path.join(recipe_dir, recipe_filename)
@@ -107,16 +108,17 @@ def autogen_recipe(filelist, outputdir, template=None):
     return recipe
 
 
-def guess_template(image):
+def guess_template(dataset):
     """
     Guesses what template should be used to process a specific image
 
     Args:
-        image (corgidrp.data.Image): an Image file to process
+        dataset (corgidrp.data.Dataset): a Dataset to process
 
     Returns:
         str: the best template filename
     """
+    image = dataset[0] # first image for convenience
     if image.ext_hdr['DATA_LEVEL'] == "L1":
         if image.pri_hdr['OBSTYPE'] == "ENG":
             recipe_filename = "l1_to_l2a_eng.json"