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# rest
# `prefect_databricks.rest`
This is a module containing generic REST tasks.
## Functions
### `serialize_model`
```python theme={null}
serialize_model(obj: Any) -> Any
```
Recursively serializes `pydantic.BaseModel` into JSON;
returns original obj if not a `BaseModel`.
**Args:**
* `obj`: Input object to serialize.
**Returns:**
* Serialized version of object.
### `strip_kwargs`
```python theme={null}
strip_kwargs(**kwargs: Dict) -> Dict
```
Recursively drops keyword arguments if value is None,
and serializes any `pydantic.BaseModel` types.
**Args:**
* `**kwargs`: Input keyword arguments.
**Returns:**
* Stripped version of kwargs.
### `execute_endpoint`
```python theme={null}
execute_endpoint(endpoint: str, databricks_credentials: 'DatabricksCredentials', http_method: HTTPMethod = HTTPMethod.GET, params: Dict[str, Any] = None, json: Dict[str, Any] = None, **kwargs: Dict[str, Any]) -> httpx.Response
```
Generic function for executing REST endpoints.
**Args:**
* `endpoint`: The endpoint route.
* `databricks_credentials`: Credentials to use for authentication with Databricks.
* `http_method`: Either GET, POST, PUT, DELETE, or PATCH.
* `params`: URL query parameters in the request.
* `json`: JSON serializable object to include in the body of the request.
* `**kwargs`: Additional keyword arguments to pass.
**Returns:**
* The httpx.Response from interacting with the endpoint.
**Examples:**
Lists jobs on the Databricks instance.
```python theme={null}
from prefect import flow
from prefect_databricks import DatabricksCredentials
from prefect_databricks.rest import execute_endpoint
@flow
def example_execute_endpoint_flow():
endpoint = "/2.1/jobs/list"
databricks_credentials = DatabricksCredentials.load("my-block")
params = {
"limit": 5,
"offset": None,
"expand_tasks": True,
}
response = execute_endpoint(
endpoint,
databricks_credentials,
params=params
)
return response.json()
```
## Classes
### `HTTPMethod`
Available HTTP request methods.
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