Fix a small bug in raft_local during init command.
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@ -1,18 +1,6 @@
# RAFT CLI
`raft.py` is Rest API Fuzz Testing service CLI that is used for deployment of the service to Azure, job creation, deletion, etc. See full documentation [RAFT CLI reference](../docs/cli-reference.md)
`raft.py` is Rest API Fuzz Testing service CLI that is used for deployment of the
service to Azure, job creation, deletion, etc. See full documentation [RAFT CLI reference](../docs/cli-reference.md)
`raft_local.py` is a script that does not require Azure to run RAFT job configurations. This script requires installation of Python and Docker to run RAFT job configurations.
This script only support **job create** command. See `raft_local.py --help` for details.
`raft_local.py` expects the following folder structure (You can run `raft_local.py local init` to auto-create required directories)
```Text
CLI //root folder where you downloaded the CLI
|- raft_local.py // raft_local.py script
|- local // folder named local located at the same level as raft_local.py
|- secrets // folder named secrets located inside of local folder
|- storage // folder names storage located inside of local folder
```
`storage` folder will contain all of the data produced by RAFT job runs.
`secrets` folder is a user maintained folder. It uses files without an extension to store data needed for authentication with services under test. For example if my RAFT job configuration requires a text token. I can store the token in file `MyToken` under `CLI/local/secrets/MyToken` and use `MyToken` string name in RAFT job configuration as `TxtToken` authentication method.
`raft_local.py` is a script that does not require Azure to run RAFT job configurations.
See documentation on how to use [RAFT on your development machine](../docs/how-to-use-raft-local.md)

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@ -75,6 +75,9 @@ def init_tools(tools_path):
return tools, tool_paths
def init_local(work_directory):
if not os.path.exists(work_directory):
os.mkdir(work_directory)
secrets_path = os.path.join(work_directory, 'secrets')
if not os.path.exists(secrets_path):
os.mkdir(secrets_path)
@ -574,9 +577,10 @@ def run(args):
work_dir = os.path.join(script_dir, 'local')
if local_action == 'init':
storage, secrets = init_local(work_dir)
storage, secrets, event_sink = init_local(work_dir)
print(f'Created results storage folder: {storage}')
print(f'Created secrets folder: {secrets}')
print(f'Created events_sink folder: {event_sink}')
if job_action == 'create':
cli = RaftLocalCLI(work_dir)

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@ -0,0 +1,95 @@
# How to run RAFT on your local machine
There are times where you might want to test your service on your development machine before
committing the changes to run in a CI/CD pipeline with your Azure deployment of RAFT. The
`raft_local.py` script is your way to do that.
Because RAFT uses containers for the testing tools, this script will pull down the tools needed
and run them using docker on your local machine.
### Requirements
This script has been tested with these versions of these tools.
* Python (3.8)
* Docker (20.10)
### Limitations
This script only supports the **job create** command. See `raft_local.py --help` for details.
### Getting Started
Run `raft_local.py local init` to auto-create required directories.
These are the directories that will be created and are expected by the script.
```Text
CLI //root folder where you downloaded the CLI
|- raft_local.py // raft_local.py script
|- local // folder named local located at the same level as raft_local.py
|- secrets // folder named secrets located inside of local folder
|- storage // folder names storage located inside of local folder
|- events_sink // folder used to synchronize test tool events
```
* The `storage` folder will contain all of the data produced by RAFT job runs.
* The `secrets` folder is a user maintained folder. </br>
The files in this folder are the names of the secret used in the job definition file.
These files should not have an extension.
For example if my RAFT job configuration requires a text token.
I can store the token in file `MyToken` under `CLI/local/secrets/MyToken` and use `MyToken`
as the secret name in RAFT job configuration.
```
"authenticationMethod": {
"TxtToken": "MyToken"
}
```
### Running raft_local.py
Once you have completed the getting started portion you can use `raft_local.py` to
run a job on your local machine.
Here is an example job definition that runs RESTler and ZAP on a
deployed instance of [PetStore](https://petstore3.swagger.io) that can be launched with
`raft_local.py`
```text
{
"testTasks": {
"targetConfiguration": {
"apiSpecifications": [ "https://petstore3.swagger.io/api/v3/openapi.json" ],
"endpoint": "https://petstore3.swagger.io"
},
"tasks": [
{
"toolName": "RESTler",
"outputFolder": "restler-logs",
"toolConfiguration": {
"tasks": [
{
"task": "compile"
},
{
"task": "Fuzz",
"runConfiguration": {
"Duration": "00:10:00"
}
}
]
}
},
{
"toolName": "ZAP",
"outputFolder": "zap-logs"
}
]
}
}
```
Example command line to create a local job:</br>
`python raft_local.py job create --file <jobdefinitionfile>`

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@ -11,3 +11,12 @@ The samples are located in the **cli/samples** folder under the root of
the RAFT repo, and are organized into three folders: **Zap**, **RESTler**, **Dredd**,
and **multiple-tools**, the latter of which shows how to execute more than
one tool in a single job. Each sample folder includes it's own `readme.md` file explaining what the sample is about and how to run it.
**IMPORTANT NOTE:**</br>
The sample python scripts have been written to take advantage of your Azure deployment of RAFT.
In most sample directories there is a python script that runs the sample and is an example of how to use
our python SDK to run jobs. In many of the sample job definition files there are substitutions that are
made via the python script.
Because of this, the files typically will not run without modification with the `raft_local.py` script.
See [here](how-to-use-raft-local.md) for more information about running RAFT on your desktop with `raft_local.py`.

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