Skip to main content

Great Expectations Cloud

Project description

cloud

PyPI Docker Pulls ci pre-commit.ci status Ruff

Quick Start

Python

Install

pip install great_expectations_cloud
Optional Dependencies
pip install 'great_expectations_cloud[sql]'
$ gx-agent --help
usage: gx-agent [-h] [--log-level LOG_LEVEL] [--skip-log-file SKIP_LOG_FILE] [--log-cfg-file LOG_CFG_FILE] [--version]

optional arguments:
  -h, --help            show this help message and exit
  --log-level LOG_LEVEL
                        Level of logging to use. Defaults to WARNING.
  --skip-log-file SKIP_LOG_FILE
                        Skip writing debug logs to a file. Defaults to False. Does not affect logging to stdout/stderr.
  --log-cfg-file LOG_CFG_FILE
                        Path to a logging configuration json file. Supersedes --log-level and --skip-log-file.
  --version             Show the gx agent version.

Set env variables

GX_CLOUD_ACCESS_TOKEN GX_CLOUD_ORGANIZATION_ID

Start the Agent

If you intend to run the agent against local services (Cloud backend or datasources) run the agent outside of the container.

gx-agent

Docker

Building and running the Agent with Docker

Dev Setup

See also CONTRIBUTING.md

  1. Install poetry
  2. Set up virtual environment and install dependencies.
    • poetry install --sync
  3. Activate your virtual environment.
    • poetry shell
  4. Set up precommit hooks
    • pre-commit install

Developer Tasks

Common developer tasks are available via invoke (defined in tasks.py)

invoke --list to see available tasks.

Synchronize Dependencies

To ensure you are using the latest version of the core and development dependencies run poetry install --sync. Also available as an invoke task.

invoke deps

Updating poetry.lock dependencies

The dependencies installed in our CI and the docker build step are determined by the poetry.lock file.

To update only a specific dependency (such as great_expectations) ...

poetry update great_expectations

To resolve and update all dependencies ...

poetry lock

In either case, the updated poetry.lock file must be committed and merged to main.

Release to PyPI and Docker

To release a new version to PyPI the version must be incremented. New versions are automatically published to PyPI when merging to main.

invoke version-bump

A new docker tag will also be generated and pushed to Docker Hub.

Building and Running the GX Agent Image

To build the GX Agent Docker image, run the following in the root dir:

invoke docker

Running the GX Agent:

invoke docker --run

or

docker run --env GX_CLOUD_ACCESS_TOKEN="<GX_TOKEN>" --env GX_CLOUD_ORGANIZATION_ID="<GX_ORG_ID>" gx/agent

Now go into GX Cloud and issue commands for the GX Agent to run, such as generating an Expectation Suite for a Data Source.

Note if you are pushing out a new image update the image tag version in containerize-agent.yaml. The image will be built and pushed out via GitHub Actions.

Example Data

The contents from /examples/agent/data will be copied to /data for the docker container.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

great_expectations_cloud-0.0.38.tar.gz (23.8 kB view details)

Uploaded Source

Built Distribution

great_expectations_cloud-0.0.38-py3-none-any.whl (30.5 kB view details)

Uploaded Python 3

File details

Details for the file great_expectations_cloud-0.0.38.tar.gz.

File metadata

File hashes

Hashes for great_expectations_cloud-0.0.38.tar.gz
Algorithm Hash digest
SHA256 cc68bc0583d0d13c1a21276b5b5514787b747261a17d7049ba4a38fcd0a4a533
MD5 ca8e913d1f63f62a3d958f4a9c9e951a
BLAKE2b-256 09bf7ba96933860f1fa739b177d533539064d79d107ad8018d2ca44f3a91f69b

See more details on using hashes here.

File details

Details for the file great_expectations_cloud-0.0.38-py3-none-any.whl.

File metadata

File hashes

Hashes for great_expectations_cloud-0.0.38-py3-none-any.whl
Algorithm Hash digest
SHA256 c5cc4f83cc19ed96fbc7d0762bf3f44947fa1e41d222072fe1bafbb7cd3a83ff
MD5 a731776be9cf0df97fc3a9451f83d5ac
BLAKE2b-256 dc28da738b7332a334062e7f2fb9fdb33e36e866705e05304de722c73d7333b8

See more details on using hashes here.

Supported by

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