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https://github.com/alancoding/tower-cli-bulk-data-faker
Another Ansible Tower populator through the CLI, which populates a lot of things
https://github.com/alancoding/tower-cli-bulk-data-faker
ansible-tower awx awx-cli populator tower-cli
Last synced: 17 days ago
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Another Ansible Tower populator through the CLI, which populates a lot of things
- Host: GitHub
- URL: https://github.com/alancoding/tower-cli-bulk-data-faker
- Owner: AlanCoding
- Created: 2016-03-14T13:00:49.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2017-07-20T18:46:27.000Z (over 7 years ago)
- Last Synced: 2024-10-30T07:48:56.917Z (2 months ago)
- Topics: ansible-tower, awx, awx-cli, populator, tower-cli
- Language: Python
- Size: 32.2 KB
- Stars: 1
- Watchers: 3
- Forks: 1
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- Roadmap: ROADMAP.md
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README
# Tower-cli Bulk Fake Data Creator
This is a populator for Ansible Tower, which creates a large amount of fake
data, and it relies on the libraries from tower-cli.
Tower-cli is a command-line interface for the Ansible Tower API, but it can
also be used as a python module, and that is the type of use here.
### Usage
### Configuration Data
This relies on tower-cli configuration already existing and working.
```bash
tower-cli config username my_user
tower-cli config password p4ssword
tower-cli config host http://tower.example.com
# Make sure the connection is working
tower-cli user list
```
### Running
The `create_data.py` script takes a command line argument and then creates
a batch of fake data. Data creation proceeds in phases, which mirror
the dependences of resources in Ansible Tower. These go in order of the following:
Creation order:
- Organizations
- Teams
- Projects
- Users
- Job Templates
These don't necessarily need to go in this order, and you could draw a
graph with arrows of what's needed for others. Each of these have
best-available isolation.
You probably want to poke around a bit before you dump a lot of data.
See the commands that a full run would produce with:
```bash
python create_data.py demo
```
Create just a few of a resource by specifying the number, and/or avoid
actually creating them with the debug option.
```bash
python create_data.py organization 3 debug
```
To run the data creation program (the FULL program) defined by the counts
in the `Nres` dictionary...
```bash
python create_data.py all
```
Alternatively, define a file with the resources and counts (as yaml)
in it and give that as an argument.
```bash
python create_data.py run_data.yml
```
For example, your file might say to create 2 users and 1 project, and this
command will carry out the creation of those.
### Getting API Response Times
Store your credentials in a yaml file.
```bash
python time_test.py creds.yml
```
This will give the response times at from all the top level endpoints.