Skip to main content

Welcome to Teflo!

What is Teflo?

TEFLO stands for (T est E xecution F ramework L ibraries and O bjects)

Teflo is an orchestration software that controls the flow of a set of testing scenarios. It is a standalone tool written in Python that includes all aspects of the workflow. It allows users to provision machines, deploy software, execute tests against them and manage generated artifacts and report results.

Teflo Provides structure, readability, extensibility and flexibility by :

  • providing a YAML file to express a test workflow as a series of steps.

  • enabling integration of external tooling to execute the test workflow as defined by the steps.

Teflo can be used for an E2E (end to end) multi-product scenario. Teflo handles coordinating the E2E task workflow to drive the scenario execution.

Teflo can be used for an E2E (end to end) multi-product scenario. Teflo handles coordinating the E2E task workflow to drive the scenario execution.

What does an E2E workflow consist of?

At a high level teflo executes the following tasks when processing a scenario.

  • Provision system resources

  • Perform system configuration

  • Install products

  • Configure products

  • Install test frameworks

  • Configure test frameworks

  • Execute tests

  • Report results

  • Destroy system resources

  • Send Notifications

Teflo has following stages

Provision - Create resources to test against (physical resources, VMs etc)

Orchestrate - Configure the provisioned resources (e.g. install packages on them, run scripts, ansible playbooks etc)

Execute - Execute tests on the configured resources

Report - Send or collect logs from the tests run

Notification - Send email/gchat/slack notification during each stage of teflo run or at the end based on the set triggers

Cleanup - Cleanup all the deployed resources.

These stages can be run individually or together.

Teflo follows a plugable architechture, where users can add different pluggins to support external tools Below is a diagram that gives you a quick overview of the Teflo workflow

/docs/_static/teflo_workflow.png

Metadata

Release files for teflo 2.4.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for teflo 2.4.1
File Size Uploaded Provenance Actions
teflo-2.4.1.tar.gz 135.8 kB Without provenance Details for teflo-2.4.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for teflo 2.4.1
File Interpreter ABI Platform Actions
teflo-2.4.1-py2.py3-none-any.whl Python 2, Python 3 none any Details for teflo-2.4.1-py2.py3-none-any.whl

Total release size: 322.0 kB

Release files / teflo-2.4.1.tar.gz

Download URL teflo-2.4.1.tar.gz
Size 135.8 kB
Tags Source
SHA-256 checksum
How to use checksums
36741316e3fd5644b46b68dc74838b81cb29890c796f4f316000fcb1ab4f8489
BLAKE2b-256 checksum
How to use checksums
ec6bb6295afd4735eb25eab82185a29925d443122b8ef997244ab93681861e49
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.5

Release files / teflo-2.4.1-py2.py3-none-any.whl

Download URL teflo-2.4.1-py2.py3-none-any.whl
Size 186.2 kB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
f92cbb33b40c8ced81d8b3dcd090b4a86f1a032103b9072fe9c0b0db32f9a74c
BLAKE2b-256 checksum
How to use checksums
3d7852ff234f622acaaf53ad5305ac114b83c7407eb1597ae6b06e204fa4e86b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.5

Security for teflo 2.4.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page