Skip to main content

Utilities functions for interacting with GCP tools

Project description

gcp_utils

Utilities for working with Google Cloud Platform (GCP). Written in an effort to keep re-useable functions to a singular package.

Installation

pip install gcp_utils

Features

  • Upload and read CSVs from Google Cloud Storage
  • Access secrets from Google Secret Manager
  • Combine current and previous year GCS data

Example Usage

from gcp_utils import send_to_gcs, read_gcs_csv_to_df, access_secret_version, load_and_append_previous_year

# Upload a DataFrame to GCS
send_to_gcs('my-bucket', 'data/', my_dataframe, 'file.csv')

# Read a CSV from GCS
df = read_gcs_csv_to_df('gs://my-bucket/data/file.csv')

# Access a secret
creds = access_secret_version('my-project', 'my-secret')

# Combine current and previous year data
df = load_and_append_previous_year('my-bucket', 'etl/incoming/2024_file.csv')

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gcp_utils_sds-0.1.4.tar.gz (6.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gcp_utils_sds-0.1.4-py3-none-any.whl (5.8 kB view details)

Uploaded Python 3

File details

Details for the file gcp_utils_sds-0.1.4.tar.gz.

File metadata

  • Download URL: gcp_utils_sds-0.1.4.tar.gz
  • Upload date:
  • Size: 6.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for gcp_utils_sds-0.1.4.tar.gz
Algorithm Hash digest
SHA256 a5342fcca5bc910b1591fb4bdf283facb529f4f7f2dea282054cece85467fcba
MD5 394fa58b0b1dac9e8abdaa524d96c71f
BLAKE2b-256 899b05f23e94c325f3d5183eaeca969a3af058794c33e7c982bdb83a64b40062

See more details on using hashes here.

File details

Details for the file gcp_utils_sds-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: gcp_utils_sds-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 5.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for gcp_utils_sds-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 cb9351477f639958a49fbc5ecd679623e4b4139bee670d867fffebefd6960209
MD5 be688713b30474f7579449c851dd612f
BLAKE2b-256 74f6c6e626a9f9666529e7426e773005248bf110f4d1329d220eb5ab22fca198

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page