Removes CRLFs from files

.gitattributes

@@ -0,0 +1 @@
+* text=auto

alpaca/broker/models/trading.py

@@ -1,12 +1,12 @@
-from alpaca.common.models.trading import Order as BaseOrder
-
-
-class Order(BaseOrder):
-    """
-    See common Order model for full list of base attributes.
-
-    Attributes:
-        commission (float): The dollar value commission you want to charge the end user.
-    """
-
-    commission: float
+from alpaca.common.models.trading import Order as BaseOrder
+
+
+class Order(BaseOrder):
+    """
+    See common Order model for full list of base attributes.
+
+    Attributes:
+        commission (float): The dollar value commission you want to charge the end user.
+    """
+
+    commission: float

alpaca/common/models/requests.py

@@ -1,82 +1,82 @@
-import datetime
-
-from .models import ValidateBaseModel as BaseModel
-from typing import Optional
-from datetime import date
-from pydantic import root_validator
-from uuid import UUID
-
-
-class NonEmptyRequest(BaseModel):
-    """
-    Mixin for models that represent requests where we don't want to send nulls for optional fields.
-    """
-
-    def to_request_fields(self) -> dict:
-        """
-        the equivalent of self::dict but removes empty values.
-
-        Ie say we only set trusted_contact.given_name instead of generating a dict like:
-          {contact: {city: None, country: None...}, etc}
-        we generate just:
-          {trusted_contact:{given_name: "new value"}}
-
-        Returns:
-            dict: a dict containing any set fields
-        """
-
-        # pydantic almost has what we need by passing exclude_none to dict() but it returns:
-        #  {trusted_contact: {}, contact: {}, identity: None, etc}
-        # so we do a simple list comprehension to filter out None and {}
-        return {
-            key: (val if not isinstance(val, UUID) else str(val))
-            for key, val in self.dict(exclude_none=True).items()
-            if val and len(str(val)) > 0
-        }
-
-
-class ClosePositionRequest(NonEmptyRequest):
-    """
-    Attributes:
-        qty (str): The number of shares to liquidate.
-        percentage (str): The percentage of shares to liquidate.
-    """
-
-    qty: Optional[str]
-    percentage: Optional[str]
-
-    @root_validator()
-    def root_validator(cls, values: dict) -> dict:
-        if "qty" not in values or "percentage" not in values:
-            return values
-
-        if values["qty"] is None and values["percentage"] is None:
-            raise ValueError(
-                "qty or percentage must be given to the ClosePositionRequest, got None for both."
-            )
-
-        if values["qty"] is not None and values["percentage"] is not None:
-            raise ValueError(
-                "Only one of qty or percentage must be given to the ClosePositionRequest, got both."
-            )
-
-        return values
-
-
-class GetPortfolioHistoryRequest(NonEmptyRequest):
-    """
-    Attributes:
-        period (Optional[str]): The duration of the data in number + unit, such as 1D. unit can be D for day, W for
-          week, M for month and A for year. Defaults to 1M.
-        timeframe (Optional[str]): The resolution of time window. 1Min, 5Min, 15Min, 1H, or 1D. If omitted, 1Min for
-          less than 7 days period, 15Min for less than 30 days, or otherwise 1D.
-        date_end (Optional[date]): The date the data is returned up to. Defaults to the current market date (rolls over
-          at the market open if extended_hours is false, otherwise at 7am ET).
-        extended_hours (Optional[bool]): If true, include extended hours in the result. This is effective only for
-          timeframe less than 1D.
-    """
-
-    period: Optional[str]
-    timeframe: Optional[str]
-    date_end: Optional[date]
-    extended_hours: Optional[bool]
+import datetime
+
+from .models import ValidateBaseModel as BaseModel
+from typing import Optional
+from datetime import date
+from pydantic import root_validator
+from uuid import UUID
+
+
+class NonEmptyRequest(BaseModel):
+    """
+    Mixin for models that represent requests where we don't want to send nulls for optional fields.
+    """
+
+    def to_request_fields(self) -> dict:
+        """
+        the equivalent of self::dict but removes empty values.
+
+        Ie say we only set trusted_contact.given_name instead of generating a dict like:
+          {contact: {city: None, country: None...}, etc}
+        we generate just:
+          {trusted_contact:{given_name: "new value"}}
+
+        Returns:
+            dict: a dict containing any set fields
+        """
+
+        # pydantic almost has what we need by passing exclude_none to dict() but it returns:
+        #  {trusted_contact: {}, contact: {}, identity: None, etc}
+        # so we do a simple list comprehension to filter out None and {}
+        return {
+            key: (val if not isinstance(val, UUID) else str(val))
+            for key, val in self.dict(exclude_none=True).items()
+            if val and len(str(val)) > 0
+        }
+
+
+class ClosePositionRequest(NonEmptyRequest):
+    """
+    Attributes:
+        qty (str): The number of shares to liquidate.
+        percentage (str): The percentage of shares to liquidate.
+    """
+
+    qty: Optional[str]
+    percentage: Optional[str]
+
+    @root_validator()
+    def root_validator(cls, values: dict) -> dict:
+        if "qty" not in values or "percentage" not in values:
+            return values
+
+        if values["qty"] is None and values["percentage"] is None:
+            raise ValueError(
+                "qty or percentage must be given to the ClosePositionRequest, got None for both."
+            )
+
+        if values["qty"] is not None and values["percentage"] is not None:
+            raise ValueError(
+                "Only one of qty or percentage must be given to the ClosePositionRequest, got both."
+            )
+
+        return values
+
+
+class GetPortfolioHistoryRequest(NonEmptyRequest):
+    """
+    Attributes:
+        period (Optional[str]): The duration of the data in number + unit, such as 1D. unit can be D for day, W for
+          week, M for month and A for year. Defaults to 1M.
+        timeframe (Optional[str]): The resolution of time window. 1Min, 5Min, 15Min, 1H, or 1D. If omitted, 1Min for
+          less than 7 days period, 15Min for less than 30 days, or otherwise 1D.
+        date_end (Optional[date]): The date the data is returned up to. Defaults to the current market date (rolls over
+          at the market open if extended_hours is false, otherwise at 7am ET).
+        extended_hours (Optional[bool]): If true, include extended hours in the result. This is effective only for
+          timeframe less than 1D.
+    """
+
+    period: Optional[str]
+    timeframe: Optional[str]
+    date_end: Optional[date]
+    extended_hours: Optional[bool]