Metadata-Version: 2.1
Name: prefect-gcp
Version: 0.1.8
Summary: Prefect tasks and subflows for interacting with Google Cloud Platform.
Home-page: https://github.com/PrefectHQ/prefect-gcp
Author: Prefect Technologies, Inc.
Author-email: help@prefect.io
License: Apache License 2.0
Keywords: prefect
Classifier: Natural Language :: English
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Software Development :: Libraries
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: cloud_storage
Provides-Extra: bigquery
Provides-Extra: secret_manager
Provides-Extra: aiplatform
Provides-Extra: all_extras
Provides-Extra: dev
License-File: LICENSE

# prefect-gcp

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## Welcome!

`prefect-gcp` is a collection of prebuilt Prefect tasks that can be used to quickly construct Prefect flows.

## Getting Started

### Python setup

Requires an installation of Python 3.7+.

We recommend using a Python virtual environment manager such as pipenv, conda or virtualenv.

These tasks are designed to work with Prefect 2.0. For more information about how to use Prefect, please refer to the [Prefect documentation](https://orion-docs.prefect.io/).

### Installation

To use `prefect-gcp` and Cloud Run:

```bash
pip install prefect-gcp
```

To use Cloud Storage:
```bash
pip install "prefect-gcp[cloud_storage]"
```

To use BigQuery:

```bash
pip install "prefect-gcp[bigquery]"
```

To use Secret Manager:
```bash
pip install "prefect-gcp[secret_manager]"
```

Then, register to [view the blocks](https://orion-docs.prefect.io/ui/blocks/) on Prefect Cloud:

```bash
prefect block register -m prefect_gcp.credentials
prefect block register -m prefect_gcp.cloud_run
```

Note, to use the `load` method on Blocks, you must already have a block document [saved through code](https://orion-docs.prefect.io/concepts/blocks/#saving-blocks) or [saved through the UI](https://orion-docs.prefect.io/ui/blocks/).

### Download blob from bucket

```python
from prefect import flow
from prefect_gcp import GcpCredentials
from prefect_gcp.cloud_storage import cloud_storage_download_blob_as_bytes

@flow
def cloud_storage_download_blob_flow():
    gcp_credentials = GcpCredentials(
        service_account_file="/path/to/service/account/keyfile.json")
    contents = cloud_storage_download_blob_as_bytes("bucket", "blob", gcp_credentials)
    return contents

cloud_storage_download_blob_flow()
```

### Deploy command on Cloud Run

Save the following as `prefect_gcp_flow.py`:

```python
from prefect import flow
from prefect_gcp import GcpCredentials
from prefect_gcp.cloud_run import CloudRunJob

@flow
def cloud_run_job_flow():
    cloud_run_job = CloudRunJob(
        image="us-docker.pkg.dev/cloudrun/container/job:latest",
        credentials=GcpCredentials.load("MY_BLOCK_NAME"),
        region="us-central1",
        command=["echo", "hello world"],
    )
    return cloud_run_job.run()
```

Deploy `prefect_gcp_flow.py`:

```python
from prefect.deployments import Deployment
from prefect_gcp_flow import cloud_run_job_flow

deployment = Deployment.build_from_flow(
    flow=cloud_run_job_flow,
    name="cloud_run_job_deployment", 
    version=1, 
    work_queue_name="demo",
)
deployment.apply()
```

Run the deployment either on the UI or through the CLI:
```bash
prefect deployment run cloud-run-job-flow/cloud_run_job_deployment
```

Visit [Prefect Deployments](https://docs.prefect.io/tutorials/deployments/) for more information about deployments.

### Deploy command on Vertex AI as a flow

Save the following as `prefect_gcp_flow.py`:

```python
from prefect import flow
from prefect_gcp.credentials import GcpCredentials
from prefect_gcp.aiplatform import VertexAICustomTrainingJob

@flow
def vertex_ai_job_flow():
    gcp_credentials = GcpCredentials.load("MY_BLOCK")
    job = VertexAICustomTrainingJob(
        command=["echo", "hello world"],
        region="us-east1",
        image="us-docker.pkg.dev/cloudrun/container/job:latest",
        gcp_credentials=gcp_credentials,
    )
    job.run()

vertex_ai_job_flow()
```

Deploy `prefect_gcp_flow.py`:


```python
from prefect.deployments import Deployment
from prefect_gcp_flow import vertex_ai_job_flow

deployment = Deployment.build_from_flow(
    flow=vertex_ai_job_flow,
    name="vertex-ai-job-deployment", 
    version=1, 
    work_queue_name="demo",
)
deployment.apply()
```

Run the deployment either on the UI or through the CLI:
```bash
prefect deployment run vertex-ai-job-flow/vertex-ai-job-deployment
```

Visit [Prefect Deployments](https://docs.prefect.io/tutorials/deployments/) for more information about deployments.

## Resources

If you encounter any bugs while using `prefect-gcp`, feel free to open an issue in the [prefect-gcp](https://github.com/PrefectHQ/prefect-gcp) repository.

If you have any questions or issues while using `prefect-gcp`, you can find help in either the [Prefect Discourse forum](https://discourse.prefect.io/) or the [Prefect Slack community](https://prefect.io/slack).

Feel free to ⭐️ or watch [`prefect-gcp`](https://github.com/PrefectHQ/prefect-gcp) for updates too!

## Development

If you'd like to install a version of `prefect-gcp` for development, clone the repository and perform an editable install with `pip`:

```bash
git clone https://github.com/PrefectHQ/prefect-gcp.git

cd prefect-gcp/

pip install -e ".[dev]"

# Install linting pre-commit hooks
pre-commit install
```
