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from abc import abstractmethod
from typing import Any, Dict, List, Optional, Union, cast
from pymongo.asynchronous.client_session import AsyncClientSession
from beanie.odm.fields import ExpressionField
class AggregateMethods:
"""
Aggregate methods
"""
@abstractmethod
def aggregate(
self,
aggregation_pipeline,
projection_model=None,
session: Optional[AsyncClientSession] = None,
ignore_cache: bool = False,
): ...
async def sum(
self,
field: Union[ExpressionField, float, int, str],
session: Optional[AsyncClientSession] = None,
ignore_cache: bool = False,
) -> Optional[float]:
"""
Sum of values of the given field
Example:
```python
class Sample(Document):
price: int
count: int
sum_count = await Document.find(Sample.price <= 100).sum(Sample.count)
```
:param field: Union[ExpressionField, float, int, str]
:param session: Optional[AsyncClientSession] - pymongo session
:param ignore_cache: bool
:return: float - sum. None if there are no items.
"""
pipeline = [
{"$group": {"_id": None, "sum": {"$sum": f"${field}"}}},
{"$project": {"_id": 0, "sum": 1}},
]
# As we did not supply a projection we can safely cast the type (hinting to mypy that we know the type)
result: List[Dict[str, Any]] = cast(
List[Dict[str, Any]],
await self.aggregate(
aggregation_pipeline=pipeline,
session=session,
ignore_cache=ignore_cache,
).to_list(), # type: ignore # TODO: pyright issue, fix
)
if not result:
return None
return result[0]["sum"]
async def avg(
self,
field: Union[ExpressionField, float, int, str],
session: Optional[AsyncClientSession] = None,
ignore_cache: bool = False,
) -> Optional[float]:
"""
Average of values of the given field
Example:
```python
class Sample(Document):
price: int
count: int
avg_count = await Document.find(Sample.price <= 100).avg(Sample.count)
```
:param field: Union[ExpressionField, float, int, str]
:param session: Optional[AsyncClientSession] - pymongo session
:param ignore_cache: bool
:return: Optional[float] - avg. None if there are no items.
"""
pipeline = [
{"$group": {"_id": None, "avg": {"$avg": f"${field}"}}},
{"$project": {"_id": 0, "avg": 1}},
]
result: List[Dict[str, Any]] = cast(
List[Dict[str, Any]],
await self.aggregate(
aggregation_pipeline=pipeline,
session=session,
ignore_cache=ignore_cache,
).to_list(), # type: ignore # TODO: pyright issue, fix
)
if not result:
return None
return result[0]["avg"]
async def max(
self,
field: Union[ExpressionField, str, Any],
session: Optional[AsyncClientSession] = None,
ignore_cache: bool = False,
) -> Optional[Any]:
"""
Max of the values of the given field
Example:
```python
class Sample(Document):
price: int
count: int
max_count = await Document.find(Sample.price <= 100).max(Sample.count)
```
:param field: Union[ExpressionField, str, Any]
:param session: Optional[AsyncClientSession] - pymongo session
:return: Any - max value. None if there are no items.
"""
pipeline = [
{"$group": {"_id": None, "max": {"$max": f"${field}"}}},
{"$project": {"_id": 0, "max": 1}},
]
result: List[Dict[str, Any]] = cast(
List[Dict[str, Any]],
await self.aggregate(
aggregation_pipeline=pipeline,
session=session,
ignore_cache=ignore_cache,
).to_list(), # type: ignore # TODO: pyright issue, fix
)
if not result:
return None
return result[0]["max"]
async def min(
self,
field: Union[ExpressionField, str, Any],
session: Optional[AsyncClientSession] = None,
ignore_cache: bool = False,
) -> Optional[Any]:
"""
Min of the values of the given field
Example:
```python
class Sample(Document):
price: int
count: int
min_count = await Document.find(Sample.price <= 100).min(Sample.count)
```
:param field: Union[ExpressionField, str, Any]
:param session: Optional[AsyncClientSession] - pymongo session
:return: Any - min value. None if there are no items.
"""
pipeline = [
{"$group": {"_id": None, "min": {"$min": f"${field}"}}},
{"$project": {"_id": 0, "min": 1}},
]
result: List[Dict[str, Any]] = cast(
List[Dict[str, Any]],
await self.aggregate(
aggregation_pipeline=pipeline,
session=session,
ignore_cache=ignore_cache,
).to_list(), # type: ignore # TODO: pyright issue, fix
)
if not result:
return None
return result[0]["min"]
|
