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# counting
# `prefect.server.events.counting`
## Classes
### `InvalidEventCountParameters`
Raised when the given parameters are invalid for counting events.
### `TimeUnit`
**Methods:**
#### `as_timedelta`
```python theme={null}
as_timedelta(self, interval: float) -> Duration
```
#### `auto`
```python theme={null}
auto() -> str
```
Exposes `enum.auto()` to avoid requiring a second import to use `AutoEnum`
#### `database_label_expression`
```python theme={null}
database_label_expression(self, db: PrefectDBInterface, time_interval: float) -> sa.Function[str]
```
Returns the SQL expression to label a time bucket
#### `database_value_expression`
```python theme={null}
database_value_expression(self, time_interval: float) -> sa.Cast[str]
```
Returns the SQL expression to place an event in a time bucket
#### `get_interval_spans`
```python theme={null}
get_interval_spans(self, start_datetime: datetime.datetime, end_datetime: datetime.datetime, interval: float) -> Generator[int | tuple[datetime.datetime, datetime.datetime], None, None]
```
Divide the given range of dates into evenly-sized spans of interval units
#### `validate_buckets`
```python theme={null}
validate_buckets(self, start_datetime: datetime.datetime, end_datetime: datetime.datetime, interval: float) -> None
```
### `Countable`
**Methods:**
#### `auto`
```python theme={null}
auto() -> str
```
Exposes `enum.auto()` to avoid requiring a second import to use `AutoEnum`
#### `get_database_query`
```python theme={null}
get_database_query(self, filter: 'EventFilter', time_unit: TimeUnit, time_interval: float) -> Select[tuple[str, str, DateTime, DateTime, int]]
```
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