# coding: utf-8
"""
LUSID API
FINBOURNE Technology # noqa: E501
Contact: info@finbourne.com
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
"""
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from datetime import datetime
from typing import Any, Dict, List, Optional
from pydantic.v1 import BaseModel, Field, StrictStr, conlist
from lusid.models.aggregate_spec import AggregateSpec
from lusid.models.order_by_spec import OrderBySpec
from lusid.models.property_filter import PropertyFilter
from lusid.models.resource_id import ResourceId
[docs]
class AggregatedTransactionsRequest(BaseModel):
"""
AggregatedTransactionsRequest
"""
from_transaction_date: datetime = Field(..., alias="fromTransactionDate")
to_transaction_date: datetime = Field(..., alias="toTransactionDate")
portfolio_id: ResourceId = Field(..., alias="portfolioId")
as_at: Optional[datetime] = Field(None, alias="asAt")
metrics: conlist(AggregateSpec) = Field(...)
group_by: Optional[conlist(StrictStr)] = Field(None, alias="groupBy")
filters: Optional[conlist(PropertyFilter)] = None
sort: Optional[conlist(OrderBySpec)] = None
__properties = ["fromTransactionDate", "toTransactionDate", "portfolioId", "asAt", "metrics", "groupBy", "filters", "sort"]
[docs]
class Config:
"""Pydantic configuration"""
allow_population_by_field_name = True
validate_assignment = True
[docs]
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.dict(by_alias=True))
[docs]
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
return json.dumps(self.to_dict())
[docs]
@classmethod
def from_json(cls, json_str: str) -> AggregatedTransactionsRequest:
"""Create an instance of AggregatedTransactionsRequest from a JSON string"""
return cls.from_dict(json.loads(json_str))
[docs]
def to_dict(self):
"""Returns the dictionary representation of the model using alias"""
_dict = self.dict(by_alias=True,
exclude={
},
exclude_none=True)
# override the default output from pydantic by calling `to_dict()` of portfolio_id
if self.portfolio_id:
_dict['portfolioId'] = self.portfolio_id.to_dict()
# override the default output from pydantic by calling `to_dict()` of each item in metrics (list)
_items = []
if self.metrics:
for _item in self.metrics:
if _item:
_items.append(_item.to_dict())
_dict['metrics'] = _items
# override the default output from pydantic by calling `to_dict()` of each item in filters (list)
_items = []
if self.filters:
for _item in self.filters:
if _item:
_items.append(_item.to_dict())
_dict['filters'] = _items
# override the default output from pydantic by calling `to_dict()` of each item in sort (list)
_items = []
if self.sort:
for _item in self.sort:
if _item:
_items.append(_item.to_dict())
_dict['sort'] = _items
# set to None if as_at (nullable) is None
# and __fields_set__ contains the field
if self.as_at is None and "as_at" in self.__fields_set__:
_dict['asAt'] = None
# set to None if group_by (nullable) is None
# and __fields_set__ contains the field
if self.group_by is None and "group_by" in self.__fields_set__:
_dict['groupBy'] = None
# set to None if filters (nullable) is None
# and __fields_set__ contains the field
if self.filters is None and "filters" in self.__fields_set__:
_dict['filters'] = None
# set to None if sort (nullable) is None
# and __fields_set__ contains the field
if self.sort is None and "sort" in self.__fields_set__:
_dict['sort'] = None
return _dict
[docs]
@classmethod
def from_dict(cls, obj: dict) -> AggregatedTransactionsRequest:
"""Create an instance of AggregatedTransactionsRequest from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return AggregatedTransactionsRequest.parse_obj(obj)
_obj = AggregatedTransactionsRequest.parse_obj({
"from_transaction_date": obj.get("fromTransactionDate"),
"to_transaction_date": obj.get("toTransactionDate"),
"portfolio_id": ResourceId.from_dict(obj.get("portfolioId")) if obj.get("portfolioId") is not None else None,
"as_at": obj.get("asAt"),
"metrics": [AggregateSpec.from_dict(_item) for _item in obj.get("metrics")] if obj.get("metrics") is not None else None,
"group_by": obj.get("groupBy"),
"filters": [PropertyFilter.from_dict(_item) for _item in obj.get("filters")] if obj.get("filters") is not None else None,
"sort": [OrderBySpec.from_dict(_item) for _item in obj.get("sort")] if obj.get("sort") is not None else None
})
return _obj