## testing.DirectInvocationResult


What one direct invocation of an asset built with `dd.asset` yielded.


Usage

``` python
testing.DirectInvocationResult(
    materialization,
    checks,
)
```


## Attributes


`materialization: dg.MaterializeResult[pl.DataFrame] | None`  
The asset's materialization, or `None` when the decorated function returned `None`.

`checks: dict[str, dg.AssetCheckResult]`  
Every check result, keyed by check name, in the order the call yielded them.


## Examples


``` python
import dagster as dg
import polars as pl

import dagster_dataframely as dd
from dagster_dataframely.data import OrdersSchema, storefront_orders


@dd.asset(OrdersSchema)
def orders(raw_orders: pl.DataFrame) -> pl.DataFrame:
    return raw_orders


result = dd.testing.DirectInvocationResult.from_invocation(
    orders(dg.build_asset_context(), storefront_orders)
)
result.materialization.value.height, len(result.checks)
```


    (12, 24)


## Methods

| Name | Description |
|----|----|
| [from_invocation()](#from_invocation) | Separate what a direct invocation yields into the materialization and the check results. |

------------------------------------------------------------------------


#### from_invocation()


Separate what a direct invocation yields into the materialization and the check results.


Usage

``` python
from_invocation(called)
```


##### Parameters


`called: object`  
What calling the asset returns. Dagster annotates `AssetsDefinition.__call__` as returning `object`, so a narrower annotation would make every test cast.


##### Returns


`Self`  
The materialization, or `None` on a skip, and every check result keyed by check name.


##### Raises


`TypeError`  
`called` is not iterable, or yields a second materialization, a check name twice, or a value of another type.


##### Examples


``` python
import dagster as dg
import polars as pl

import dagster_dataframely as dd
from dagster_dataframely.data import OrdersSchema, storefront_orders


@dd.asset(OrdersSchema)
def orders(raw_orders: pl.DataFrame) -> pl.DataFrame:
    return raw_orders


result = dd.testing.DirectInvocationResult.from_invocation(
    orders(dg.build_asset_context(), storefront_orders)
)
[name for name, check in result.checks.items() if not check.passed]
```


    []