Series data_type takes strings

added ge and le to Series

fincal/core.py

@@ -2,7 +2,7 @@ import datetime
 from collections import UserDict, UserList
 from dataclasses import dataclass
 from numbers import Number
-from typing import Iterable, List, Literal, Mapping, Sequence, Tuple, Type, Union
+from typing import Iterable, List, Literal, Mapping, Sequence, Tuple, Union
 
 
 @dataclass
@@ -138,20 +138,36 @@ class Series(UserList):
     def __init__(
         self,
         data,
-        data_type: Union[Type[bool], Type[float], Type[str], Type[datetime.datetime]],
+        data_type: Literal['date', 'number', 'bool'],
         date_format: str = None,
     ):
-        self.dtype = data_type
+        types_dict = {
+            'date': datetime.datetime,
+            'datetime': datetime.datetime,
+            'datetime.datetime': datetime.datetime,
+            'float': float,
+            'int': float,
+            'number': float,
+            'bool': bool
+        }
+
+        if data_type not in types_dict.keys():
+            raise ValueError("Unsupported value for data type")
+
         if not isinstance(data, Sequence):
             raise TypeError("Series object can only be created using Sequence types")
 
-        for i in data:
-            if not isinstance(i, data_type):
-                raise Exception("All arguments must be of the same type")
-
-        if data_type == str:
+        if data_type in ['date', 'datetime', 'datetime.datetime']:
             data = [_parse_date(i, date_format) for i in data]
-
+        else:
+            func = types_dict[data_type]
+            data = [func(i) for i in data]
+        # elif data_type == 'number':
+        #     data = [float(i) for i in data]
+        # elif data_type == 'boolean':
+        #     data = [bool(i) for i in data]
+
+        self.dtype = types_dict[data_type]
         self.data = data
 
     def __repr__(self):
@@ -159,7 +175,7 @@ class Series(UserList):
 
     def __getitem__(self, i):
         if isinstance(i, slice):
-            return self.__class__(self.data[i], self.dtype)
+            return self.__class__(self.data[i], str(self.dtype.__name__))
         else:
             return self.data[i]
 
@@ -171,25 +187,58 @@ class Series(UserList):
             other = _parse_date(other)
 
         if self.dtype == float and isinstance(other, Number) or isinstance(other, self.dtype):
-            gt = Series([i > other for i in self.data], bool)
+            gt = Series([i > other for i in self.data], 'bool')
         else:
             raise Exception(f"Cannot compare type {self.dtype.__name__} to {type(other).__name__}")
 
         return gt
 
+    def __ge__(self, other):
+        if self.dtype == bool:
+            raise TypeError(">= not supported for boolean series")
+
+        if isinstance(other, (str, datetime.datetime, datetime.date)):
+            other = _parse_date(other)
+
+        if self.dtype == float and isinstance(other, Number) or isinstance(other, self.dtype):
+            ge = Series([i >= other for i in self.data], 'bool')
+        else:
+            raise Exception(f"Cannot compare type {self.dtype.__name__} to {type(other).__name__}")
+
+        return ge
+
     def __lt__(self, other):
         if self.dtype == bool:
             raise TypeError("< not supported for boolean series")
 
+        if isinstance(other, (str, datetime.datetime, datetime.date)):
+            other = _parse_date(other)
+
         if self.dtype == float and isinstance(other, Number) or isinstance(other, self.dtype):
-            lt = Series([i < other for i in self.data], bool)
+            lt = Series([i < other for i in self.data], 'bool')
         else:
             raise Exception(f"Cannot compare type {self.dtype.__name__} to {type(other).__name__}")
         return lt
 
+    def __le__(self, other):
+        if self.dtype == bool:
+            raise TypeError("<= not supported for boolean series")
+
+        if isinstance(other, (str, datetime.datetime, datetime.date)):
+            other = _parse_date(other)
+
+        if self.dtype == float and isinstance(other, Number) or isinstance(other, self.dtype):
+            le = Series([i <= other for i in self.data], 'bool')
+        else:
+            raise Exception(f"Cannot compare type {self.dtype.__name__} to {type(other).__name__}")
+        return le
+
     def __eq__(self, other):
+        if isinstance(other, (str, datetime.datetime, datetime.date)):
+            other = _parse_date(other)
+
         if self.dtype == float and isinstance(other, Number) or isinstance(other, self.dtype):
-            eq = Series([i == other for i in self.data], bool)
+            eq = Series([i == other for i in self.data], 'bool')
         else:
             raise Exception(f"Cannot compare type {self.dtype.__name__} to {type(other).__name__}")
         return eq
@@ -237,14 +286,14 @@ class TimeSeriesCore(UserDict):
         if self._dates is None or len(self._dates) != len(self.data):
             self._dates = list(self.data.keys())
 
-        return Series(self._dates, datetime.datetime)
+        return Series(self._dates, 'date')
 
     @property
     def values(self):
         if self._values is None or len(self._values) != len(self.data):
             self._values = list(self.data.values())
 
-        return Series(self._values, float)
+        return Series(self._values, 'number')
 
     @property
     def start_date(self):
@@ -304,7 +353,8 @@ class TimeSeriesCore(UserDict):
             elif len(key) != len(self.dates):
                 raise Exception(f"Length of Series: {len(key)} did not match length of object: {len(self.dates)}")
             else:
-                dates_to_return = [self.dates[i] for i, j in enumerate(key) if j]
+                dates = self.dates
+                dates_to_return = [dates[i] for i, j in enumerate(key) if j]
                 data_to_return = [(key, self.data[key]) for key in dates_to_return]
                 return self.__class__(data_to_return, frequency=self.frequency.symbol)