Define abstract adapter for all data sources and a pandas wrapper.

cml/ports/source_adapters.py

+from abc import abstractmethod, ABC
+
+import pandas as pd
+
+
+class Adapter(ABC):
+
+    @abstractmethod
+    def read_csv(self): pass
+
+    @abstractmethod
+    def sort(self, *args, **kwargs): pass
+
+    @abstractmethod
+    def set_column_value(self, *args, **kwargs): pass
+
+    @abstractmethod
+    def set_column_values(self, *args, **kwargs): pass
+
+    @abstractmethod
+    def get_column_name_by_index(self, *args, **kwargs): pass
+
+    @abstractmethod
+    def get_column_index_by_index(self, *args, **kwargs): pass
+
+    @abstractmethod
+    def get_columns(self, *args, **kwargs): pass
+
+    @abstractmethod
+    def drop_colunn_by_name(self, *args, **kwargs): pass
+
+    @abstractmethod
+    def get_column_values_as_list(self, *args, **kwargs): pass
+
+
+class PandasAdapter:
+    def __init__(self, data_frame):
+        self.__data_frame = data_frame
+
+    @classmethod
+    def read_csv_data(cls, path):
+        data_frame = pd.read_csv(path)
+        return PandasAdapter(data_frame)
+
+    def get_column_values(self, column_name):
+        return self.__data_frame[column_name]
+
+    def get_column_values_as_list(self, column_name):
+        return self.__data_frame[column_name].tolist()
+
+    def get_columns(self):
+        return self.__data_frame.columns
+
+    def drop_column_by_index(self, index):
+        column = self.get_column_name_by_index(index)
+        self.__data_frame.drop(columns=[column], inplace=True)
+
+    def drop_column_by_name(self, name):
+        self.__data_frame.drop(columns=[name], inplace=True)
+
+    def get_column_index_by_name(self, name):
+        return self.__data_frame.get_loc(name)
+
+    def get_column_name_by_index(self, index):
+        column_names = self.__data_frame.columns
+        return column_names[index]
+
+    def set_column_value(self, column_name, value):
+        self.__data_frame[column_name] = value
+
+    def sort(self, column_name, ascending=True):
+        self.__data_frame.sort_values(by=[column_name],
+                                      ascending=ascending,
+                                      inplace=True)
+
+    def set_column_values(self, column, values):
+        self.__data_frame[column] = values