Add support for hdf5 entry in nabu config

nabu/resources/dataset_analyzer.py

@@ -62,6 +62,7 @@ class DatasetAnalyzer(object):
             "force_flatfield": False,
             "output_dir": None,
             "exclude_projections": None,
+            "hdf5_entry": None,
         }
         advanced_options.update(extra_options)
         self.extra_options = advanced_options
@@ -82,6 +83,8 @@ class DatasetAnalyzer(object):
         }
         if filetype not in scanners.keys():
             raise ValueError("No scanner for file type: %s" % filetype)
+        if filetype == "hdf5" and self.extra_options["hdf5_entry"] is not None:
+            kwargs["entry"] = self.extra_options["hdf5_entry"]
         scanner = scanners[filetype]
         self.dataset_scanner = scanner(
             self.location,

nabu/resources/nabu_config.py

@@ -23,6 +23,12 @@ nabu_config = {
             "validator": dataset_location_validator,
             "type": "required",
         },
+        "hdf5_entry": {
+            "default": "",
+            "help": "Entry in the HDF5 file, if applicable. Default is the first available entry.",
+            "validator": optional_string_validator,
+            "type": "advanced",
+        },
         "binning": {
             "default": "1",
             "help": "Binning factor in the horizontal dimension when reading the data.\nThe final slices dimensions will be divided by 'slices_binning'",

nabu/resources/processconfig.py

@@ -70,7 +70,7 @@ class ProcessConfig:
                     "force_flatfield": self.nabu_config["preproc"]["flatfield_enabled"] == "forced",
                     "exclude_projections": self.nabu_config["dataset"]["exclude_projections"],
                     "output_dir": self.nabu_config["output"]["location"],
-
+                    "hdf5_entry": self.nabu_config["dataset"]["hdf5_entry"],
                 },
                 logger=self.logger
             )

nabu/resources/validators.py

@@ -92,6 +92,11 @@ def name_range_checker(name, valid_names, descr, replacements=None):
 # ---------------------------- Validators --------------------------------------
 # ------------------------------------------------------------------------------
 
+@validator
+def optional_string_validator(val):
+    if len(val.strip()) == 0:
+        return None
+    return val
 
 @validator
 def file_name_validator(name):