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chaostoolkit-service-fabric-0.1.0
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Chaos Toolkit Extension for Microsoft Service Fabric
| ویژگی | مقدار |
|---|---|
| سیستم عامل | OS Independent |
| نام فایل | chaostoolkit-service-fabric-0.1.0 |
| نام | chaostoolkit-service-fabric |
| نسخه کتابخانه | 0.1.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | chaostoolkit Team |
| ایمیل نویسنده | contact@chaostoolkit.org |
| آدرس صفحه اصلی | http://chaostoolkit.org |
| آدرس اینترنتی | https://pypi.org/project/chaostoolkit-service-fabric/ |
| مجوز | Apache License Version 2.0 |
# Chaos Toolkit Extension for Service Fabric
[](https://www.python.org/)
This project is a collection of [actions][] and [probes][], gathered as an
extension to the [Chaos Toolkit][chaostoolkit]. It targets the
[Microsoft Service Fabric][servicefabric] platform.
[actions]: http://chaostoolkit.org/reference/api/experiment/#action
[probes]: http://chaostoolkit.org/reference/api/experiment/#probe
[chaostoolkit]: http://chaostoolkit.org
[servicefabric]: https://azure.microsoft.com/en-us/services/service-fabric/
## Install
This package requires Python 3.5+
To be used from your experiment, this package must be installed in the Python
environment where [chaostoolkit][] already lives.
```
$ pip install -U chaostoolkit-service-fabric
```
## Usage
To use the probes and actions from this package, add the following to your
experiment file:
```json
{
"type": "action",
"name": "start-service-factory-chaos",
"provider": {
"type": "python",
"module": "chaosservicefabric.factory.actions",
"func": "start_chaos",
"secrets": ["azure"],
"arguments": {
"parameters": {
"TimeToRunInSeconds": 45
}
}
}
},
{
"type": "action",
"name": "stop-service-factory-chaos",
"provider": {
"type": "python",
"module": "chaosservicefabric.factory.actions",
"func": "stop_chaos",
"secrets": ["azure"]
}
}
```
That's it!
Please explore the code to see existing probes and actions.
## Configuration
### Credentials
This extension uses the [requests][] library under the hood. The requests library
expects that you have a PFX certificate, converted as to the PEM format, that allows you to
authenticate with the [Service Factory][sf] endpoint.
[sf]: https://docs.microsoft.com/en-us/azure/service-fabric/service-fabric-controlled-chaos
[creds]: https://docs.microsoft.com/en-us/azure/service-fabric/service-fabric-connect-to-secure-cluster
[requests]: http://docs.python-requests.org/en/master/
[sdk]: https://github.com/Azure/azure-sdk-for-python
Generally speaking, there are two ways of doing this:
* you have [created][creds] a configuration file where you will run the
experiment from (so with a `~/.sfctl/config` file)
* you explicitly pass the correct environment variables to the experiment
definition as follows:
Configuration section:
```json
{
"endpoint": "https://XYZ.westus.cloudapp.azure.com:19080",
"verify_tls": false,
"use_ca": false
}
```
Secrets section:
```json
{
"azure": {
"security": "pem",
"pem_path": "./cluster-client-cert.pem"
}
}
```
The PEM can also be passed as an environment variable:
```json
{
"azure": {
"security": "pem",
"pem_content": {
"type": "env",
"key": "AZURE_PEM"
}
}
}
```
The environment variable name can be anything.
### Putting it all together
Here is a full example:
```json
{
"version": "1.0.0",
"title": "...",
"description": "...",
"configuration": {
"endpoint": "https://XYZ.westus.cloudapp.azure.com:19080",
"verify_tls": false,
"use_ca": false
},
"secrets": {
"azure": {
"security": "pem",
"pem_path": "./cluster-client-cert.pem"
}
},
"steady-state-hypothesis": {
"title": "Services is healthy",
"probes": [
{
"type": "probe",
"name": "application-must-respond",
"tolerance": 200,
"provider": {
"type": "http",
"verify_tls": false,
"url": "https://some-url-in-cluster/"
}
}
]
},
"method": [
{
"type": "action",
"name": "start-service-factory-chaos",
"provider": {
"type": "python",
"module": "chaosservicefabric.factory.actions",
"func": "start_chaos",
"secrets": ["azure"],
"arguments": {
"parameters": {
"TimeToRunInSeconds": 45
}
}
},
"pauses": {
"after": 30
}
},
{
"type": "probe",
"ref": "application-must-respond"
},
{
"type": "action",
"name": "stop-service-factory-chaos",
"provider": {
"type": "python",
"module": "chaosservicefabric.factory.actions",
"func": "stop_chaos",
"secrets": ["azure"]
},
"pauses": {
"after": 5
}
},
{
"type": "probe",
"name": "get-service-factory-chaos-report",
"provider": {
"type": "python",
"module": "chaosservicefabric.factory.probes",
"func": "chaos_report",
"secrets": ["azure"],
"arguments": {
"start_time_utc": "1 minute ago",
"end_time_utc": "now"
}
}
}
]
}
```
## Contribute
If you wish to contribute more functions to this package, you are more than
welcome to do so. Please, fork this project, make your changes following the
usual [PEP 8][pep8] code style, sprinkling with tests and submit a PR for
review.
[pep8]: https://pycodestyle.readthedocs.io/en/latest/
The Chaos Toolkit projects require all contributors must sign a
[Developer Certificate of Origin][dco] on each commit they would like to merge
into the master branch of the repository. Please, make sure you can abide by
the rules of the DCO before submitting a PR.
[dco]: https://github.com/probot/dco#how-it-works
### Develop
If you wish to develop on this project, make sure to install the development
dependencies. But first, [create a virtual environment][venv] and then install
those dependencies.
[venv]: http://chaostoolkit.org/reference/usage/install/#create-a-virtual-environment
```console
$ pip install -r requirements-dev.txt -r requirements.txt
```
Then, point your environment to this directory:
```console
$ python setup.py develop
```
Now, you can edit the files and they will be automatically be seen by your
environment, even when running from the `chaos` command locally.
### Test
To run the tests for the project execute the following:
```
$ pytest
```
نیازمندی
| مقدار | نام |
|---|---|
| >=1.1.0 | chaostoolkit-lib |
| - | dateparser |
| - | logzero |
| - | requests |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.5.* | Python |
نحوه نصب
نصب پکیج whl chaostoolkit-service-fabric-0.1.0:
pip install chaostoolkit-service-fabric-0.1.0.whl
نصب پکیج tar.gz chaostoolkit-service-fabric-0.1.0:
pip install chaostoolkit-service-fabric-0.1.0.tar.gz