-
python3-aiosqlite-0.20.0-1.lbn36.noarch
aiosqlite AsyncIO bridge to the standard SQLite3 module for Python 3.5+.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-airbyte-api-0.52.0-1.lbn36.noarch
Programatically control Airbyte Cloud through an API.
Authentication
Developers will need to create an API Key within your Developer Portal to make API requests. You can use your existing Airbyte account to log in to the Developer Portal. Once you are in the Developer Portal, use the API Keys tab to create or remove API Keys. You can see a walkthrough demo here🎦
The Developer Portal UI can also be used to help build your integration by showing information about network requests in the Requests tab. API usage information is also available to you in the Usage tab.
Summary
airbyte-api: Programmatically control Airbyte Cloud, OSS & Enterprise.
Table of Contents
Authentication
SDK Installation
SDK Example Usage
Available Resources and Operations
Error Handling
Server Selection
Custom HTTP Client
Authentication
SDK Installation
The SDK can be installed using the pip package manager, with dependencies and metadata stored in the setup.py file.
pip install airbyte-api
SDK Example Usage
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-airflow-code-editor-7.7.0-1.lbn36.noarch
A plugin for Apache Airflow that allows you to edit DAGs in browser. It provides a file
managing interface within specified directories and it can be used to edit and download
your files. If git support is enabled, the DAGs are stored in a Git repository. You may
use it to view Git history, review local changes and commit.
Config Options
You can edit your airflow.cfg adding any of the following settings in the [code_editor] section. All the settings are optional.
git_enabled enable git support (default: True). If git is not installed, disable this option.
git_cmd git command (path)
git_default_args git arguments added to each call (default: -c color.ui=true)
git_author_name human-readable name in the author/committer (default logged user first and last names)
git_author_email email for the author/committer (default: logged user email)
git_init_repo initialize a git repo in DAGs folder (default: True)
root_directory root folder (default: Airflow DAGs folder)
mount_name configure additional file folder name (mount point)
mount_path configure additional file path
line_length Python code formatter - max line length (default: 88)
string_normalization Python code formatter - if true normalize string quotes and prefixes (default: False)
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-airflow-diagrams-2.1.0-1.lbn36.noarch
airflow-diagrams> Auto-generated Diagrams from Airflow DAGs.This project aims
to easily visualise you [Airflow]( DAGs on service level from providers like
AWS, GCP, Azure, etc. via [diagrams]( InstallationTo install it from pypi
run:pip install airflow-diagrams How-to-UseTo use this auto-generator just add
the following two lines to your Airflow DAG (and run it): python from
airflow_diagrams...
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-airflow-exporter-1.5.3-1.lbn36.noarch
Airflow prometheus exporterExposes dag and task based metrics from Airflow to
a Prometheus compatible endpoint. DiscussionYou can ask questions in Gitter
channel: Screenshots<img src" height"400" width"600"/> Compatibility**Note:
this version is compatible with Airflow 1.10.3+ only, see [46]( for
details**For compatibility with previous versions of Airflow use older version:
[v0.5.4](
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-airflow-provider-alembic-1.0.0-1.lbn36.noarch
Alembic Airflow Provider An Airflow Provider to use Alembic to manage database
migrations [Read more here]( Setup Locally Install the Alembic CLI with pip
install alembic In Airflow Add airflow-provider-alembic to your
requirements.txt or equivalent Usage - Create the required files for Alembic in
either your dags folder or the include foldermkdir dags/migrations cd
dags/migrations alembic...
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-airflow-windmill-0.0.4-1.lbn36.noarch
Windmill[, 43–55 (2013);
[Addenda]( documentation for this package is in
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
jenkins-2.489-1.lbn36.noarch
Jenkins monitors executions of repeated jobs, such as building a software
project or jobs run by cron. Among those things, current Jenkins focuses on the
following two jobs:
- Building/testing software projects continuously, just like CruiseControl or
DamageControl. In a nutshell, Jenkins provides an easy-to-use so-called
continuous integration system, making it easier for developers to integrate
changes to the project, and making it easier for users to obtain a fresh
build. The automated, continuous build increases the productivity.
- Monitoring executions of externally-run jobs, such as cron jobs and procmail
jobs, even those that are run on a remote machine. For example, with cron,
all you receive is regular e-mails that capture the output, and it is up to
you to look at them diligently and notice when it broke. Jenkins keeps those
outputs and makes it easy for you to notice when something is wrong.
Located in
LBN
/
…
/
CI/CD
/
BastionLinux 36
-
jenkins-cli-2.489-1.lbn36.noarch
Jenkins CLI tool (wrapper for jenkins-cli.jar) /usr/bin/jenkins-cli
Located in
LBN
/
…
/
CI/CD
/
BastionLinux 36
