Unverified Commit c0b6ff48 authored by Tao Feng's avatar Tao Feng Committed by GitHub

chore: clean and modify repo references (#632)

Signed-off-by: 's avatarfeng-tao <fengtao04@gmail.com>
parent 7a4d4f08
[submodule "amundsendatabuilder"]
path = amundsendatabuilder
url = https://github.com/lyft/amundsendatabuilder
url = https://github.com/amundsen-io/amundsendatabuilder
branch = master
[submodule "amundsenfrontendlibrary"]
path = amundsenfrontendlibrary
url = https://github.com/lyft/amundsenfrontendlibrary
url = https://github.com/amundsen-io/amundsenfrontendlibrary
branch = master
[submodule "amundsenmetadatalibrary"]
path = amundsenmetadatalibrary
url = https://github.com/lyft/amundsenmetadatalibrary
url = https://github.com/amundsen-io/amundsenmetadatalibrary
branch = master
[submodule "amundsensearchlibrary"]
path = amundsensearchlibrary
url = https://github.com/lyft/amundsensearchlibrary
url = https://github.com/amundsen-io/amundsensearchlibrary
branch = master
[submodule "amundsencommon"]
path = amundsencommon
url = https://github.com/lyft/amundsencommon
url = https://github.com/amundsen-io/amundsencommon
......@@ -2,13 +2,13 @@ apiVersion: v1
description: Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
name: amundsen
version: 2.0.0
icon: https://github.com/lyft/amundsen/blob/master/docs/img/logos/amundsen_logo_on_light.svg
home: https://github.com/lyft/amundsen
icon: https://github.com/amundsen-io/amundsen/blob/master/docs/img/logos/amundsen_logo_on_light.svg
home: https://github.com/amundsen-io/amundsen
maintainers:
- name: Shaun Elliott
email: javamonkey79@gmail.com
- name: Amundsen TSC
email: amundsen-tsc@lists.lfai.foundation
sources:
- https://github.com/lyft/amundsen
- https://github.com/amundsen-io/amundsen
keywords:
- metadata
- data
\ No newline at end of file
set -ex
#REPO="git@github.com:lyft/amundsen.git"
#REPO="git@github.com:amundsen-io/amundsen.git"
#DIR=temp-clone
# We use https://www.mkdocs.org/user-guide/deploying-your-docs/ to build/deploy docs
# Currently the doc is built/deployed manually. We should first build and deploy locally and verify it.
......
......@@ -72,8 +72,8 @@ services:
- METADATASERVICE_BASE=http://amundsenmetadata:5000
# Only for easy config-less Quickstart bookmark evalutation. `TestConfig` extends ordinary `LocalConfig` by
# defining `AUTH_USER_METHOD` to a hardcoded dummy user in `amundsen_application.tests.test_utils.get_test_user()`
# See further docs in https://github.com/lyft/amundsenfrontendlibrary/blob/master/docs/configuration.md#flask
# and https://github.com/lyft/amundsenfrontendlibrary/blob/master/docs/configuration.md#authentication
# See further docs in https://github.com/amundsen-io/amundsenfrontendlibrary/blob/master/docs/configuration.md#flask
# and https://github.com/amundsen-io/amundsenfrontendlibrary/blob/master/docs/configuration.md#authentication
- FRONTEND_SVC_CONFIG_MODULE_CLASS=amundsen_application.config.TestConfig
command: gunicorn -w 2 --bind :5000 amundsen_application.wsgi
......
......@@ -42,7 +42,7 @@ that can be used for data exploration and it is what we leverage internally at L
![](../img/tutorials/superset-sqllab-verify.png)
4. Next, We need to build a preview client following this [guide](../frontend/docs/examples/superset_preview_client.md)
and the [example client code](https://github.com/lyft/amundsenfrontendlibrary/blob/master/amundsen_application/base/examples/example_superset_preview_client.py).
and the [example client code](https://github.com/amundsen-io/amundsenfrontendlibrary/blob/master/amundsen_application/base/examples/example_superset_preview_client.py).
There are a couple of things to keep in mind:
- We could start with an unauthenticated Superset([example superset config](https://gist.github.com/feng-tao/b89e6faf7236372cef70a44f13615c39)),
but in production, we will need to send the impersonate info to Superset
......
......@@ -10,9 +10,9 @@ The doc won't cover how to setup a postgres database.
1. In the example, we have a postgres table in localhost postgres named `films`.
![](../img/tutorials/postgres.png)
2. We leverage the [postgres metadata extractor](https://github.com/lyft/amundsendatabuilder/blob/master/databuilder/extractor/postgres_metadata_extractor.py)
2. We leverage the [postgres metadata extractor](https://github.com/amundsen-io/amundsendatabuilder/blob/master/databuilder/extractor/postgres_metadata_extractor.py)
to extract the metadata information of the postgres database. We could call the metadata extractor
in an adhoc python function as this [example](https://github.com/lyft/amundsendatabuilder/pull/248/commits/f5064e58a19a5bfa380b333cfc657ebb34702a2c)
in an adhoc python function as this [example](https://github.com/amundsen-io/amundsendatabuilder/pull/248/commits/f5064e58a19a5bfa380b333cfc657ebb34702a2c)
or from an Airflow DAG.
3. Once we run the script, we could search the `films` table using Amundsen Search.
......
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