MiesDataSet object

ipfx/mies_data_set.py

@@ -0,0 +1,44 @@
+from typing import Dict, Any, Optional
+
+from ipfx.hbg_dataset import HBGDataSet, get_finite_or_none
+from ipfx import lab_notebook_reader
+
+class MiesDataSet(HBGDataSet):
+
+    def __init__(self, sweep_info=None, nwb_file=None, ontology=None, api_sweeps=True, validate_stim=True):
+        self.notebook = lab_notebook_reader.create_lab_notebook_reader(nwb_file)
+
+        super(MiesDataSet, self).__init__(
+            sweep_info=sweep_info,
+            nwb_file=nwb_file,
+            ontology=ontology,
+            api_sweeps=api_sweeps,
+            validate_stim=validate_stim
+        )
+
+    def get_stimulus_code_ext(self, sweep_num):
+
+        stim_code = self.nwb_data.get_stim_code(sweep_num)
+
+        cnt = self.notebook.get_value("Set Sweep Count", sweep_num, 0)
+        stim_code_ext = stim_code + "[%d]" % int(cnt)
+        print(stim_code_ext)
+        return stim_code_ext
+
+    def extract_sweep_record(self, sweep_num: int) -> Dict[str, Any]:
+        attrs = self.nwb_data.get_sweep_attrs(sweep_num)
+
+        sweep_record = {
+            "sweep_number": sweep_num,
+            "stimulus_units": self.get_stimulus_units(sweep_num),
+            "bridge_balance_mohm": get_finite_or_none(attrs, "bridge_balance"),
+            "leak_pa": get_finite_or_none(attrs, "bias_current"),
+            "stimulus_scale_factor": self.notebook.get_value("Scale Factor", sweep_num, None),
+            "stimulus_code": self.get_stimulus_code(sweep_num),
+            "stimulus_code_ext": self.get_stimulus_code_ext(sweep_num)
+        }
+
+        if self.ontology:
+            sweep_record["stimulus_name"] = self.get_stimulus_name(sweep_record["stimulus_code"])
+
+        return sweep_record