reading baseline data from nix works

baseline_analysis.py

@@ -1,79 +0,0 @@
-import datajoint as dj
-import os
-import numpy as np
-from database import Dataset, Repro
-schema = dj.schema("fish_book", locals())
-
-
-class BaselineData(object):
-
-    def __init__(self, dataset:Dataset):
-        self.__data = []
-        self.__dataset = dataset
-        self._get_data()
-
-
-    def _get_data(self):
-        if not self.__dataset:
-            self.__data = []
-        self.__data = []
-
-        repros = (Repro & self.__dataset & "repro_name like 'BaselineActivity%'")
-        for r in repros:
-            self.__data.append(self.__read_data(r))
-
-    def __read_data(self, r:Repro):
-        if self.__dataset["has_nix"]:
-            return self.__read_data_from_nix(r)
-        else:
-            return self.__read_data_from_directory(r)
-
-    @property
-    def dataset(self):
-        return self.__dataset
-
-    @property
-    def data(self, index:int=0):
-        return self.__data[0] if len(self.__data) >= index else None
-
-    @property
-    def size(self):
-        return len(self.__data)
-
-    def __str__(self):
-        str = "Baseline data of %s " % self.__dataset
-
-    def __read_data_from_nix(self, r)->np.ndarray:
-        # FIXME!
-        return np.asarray([])
-
-    def __read_data_from_directory(self, r)->np.ndarray:
-        data = []
-        data_source = os.path.join(self.__dataset["data_source"], "basespikes1.dat")
-        if os.path.exists(data_source):
-            found_run = False
-            with open(data_source, 'r') as f:
-                l = f.readline()
-                while l:
-                    if "index" in l:
-                        index = int(l.strip("#").strip().split(":")[-1])
-                        found_run = index == r["run"]
-                    if l.startswith("#Key") and found_run:
-                        data = self.__do_read(f)
-                        break
-                    l = f.readline()
-
-        return data
-
-    def __do_read(self, f)->np.ndarray:
-        data = []
-        f.readline()
-        f.readline()
-        l = f.readline()
-        while l and "#" not in l and len(l.strip()) > 0:
-            data.append(float(l.strip()))
-            l = f.readline()
-        return np.asarray(data)
-
-if __name__ == "__main__":
-    print("Test")