Arthur
07/26/2024, 9:43 AMMarvin
07/26/2024, 9:44 AMpython
from prefect import flow
from prefect_gcp.cloud_storage import GcsBucket
@flow
def upload_to_gcs():
path = "my_path_to/my_file.parquet"
gcs_block = GcsBucket.load("my-gcs-bucket-block")
gcs_block.upload_from_path(from_path=path, to_path=path)
if __name__ == "__main__":
upload_to_gcs()
- For AWS S3:
python
from prefect import flow
from prefect_aws import S3Bucket
@flow
def upload_to_s3():
path = "my_path_to/my_file.parquet"
aws_block = S3Bucket.load("my-s3-bucket-block")
aws_block.upload_from_path(from_path=path, to_path=path)
if __name__ == "__main__":
upload_to_s3()
2. Download and Use the File in a Flow:
After uploading the file to cloud storage, you can download and use it in your flow as follows:
python
from prefect import flow, task
from prefect_gcp.cloud_storage import GcsBucket
@task
def download_file():
gcs_block = GcsBucket.load("my-gcs-bucket-block")
gcs_block.download_to_path(from_path="my_path_to/my_file.parquet", to_path="local_path/my_file.parquet")
with open("local_path/my_file.parquet", "rb") as f:
file_data = f.read()
return file_data
@flow
def my_flow():
file_data = download_file()
# Proceed with your flow logic using file_data
if __name__ == "__main__":
my_flow()
These examples demonstrate uploading a file to a cloud storage and then using it within a Prefect flow.
Resources:
- Moving Data: Prefect Docs
- Creating Interactive Workflows: Prefect Docs
If you need further assistance, please let me know!Arthur
07/26/2024, 9:48 AMMarvin
07/26/2024, 9:49 AMjson
library to read and parse the JSON file within the flow.
Let's create an example to illustrate this:
### Step 1: Upload JSON File to Cloud Storage
Assume you have a JSON file (inputs.json
) that contains the flow inputs. First, upload this file to cloud storage (e.g., Google Cloud Storage).
### Step 2: Read and Parse the JSON File in the Flow
Here's an example that shows how to download a JSON file from Google Cloud Storage, read it, and use its contents as inputs to a Prefect flow:
python
import json
from prefect import flow, task
from prefect_gcp.cloud_storage import GcsBucket
@task
def download_and_read_json():
# Load the GCS bucket block
gcs_block = GcsBucket.load("my-gcs-bucket-block")
# Download the JSON file
gcs_block.download_to_path(from_path="path/to/inputs.json", to_path="local/path/inputs.json")
# Read and parse the JSON file
with open("local/path/inputs.json", "r") as file:
data = json.load(file)
return data
@task
def use_inputs(data):
# Example task using the inputs
print(f"Received inputs: {data}")
@flow
def my_flow():
inputs = download_and_read_json()
use_inputs(inputs)
if __name__ == "__main__":
my_flow()
### Explanation:
- download_and_read_json
Task: This task handles downloading the JSON file from cloud storage and parsing its content.
- my_flow
Flow: Orchestrates the execution by first downloading the inputs and then using them in subsequent tasks.
### Resources:
- Moving Data: Prefect Docs
Would this approach suit your needs? If you need a specific integration or more complex handling of the JSON data, please let me know!