agile_conf

A config files (in [YAML](http://yaml.org) format) and template engine ([Jinja2](http://jinja.pocoo.org)) based configuration compile / management tool to make DevOp tasks


License
BSD-3-Clause
Install
pip install agile_conf==1.0.3

Documentation

Agile Conf Document (WIP)

agile_conf - A config files (in YAML format) and template engine (Jinja2) based configuration compile / management tool to make DevOp tasks (or maybe 1,000 other things) easier.

Motivation

A lot of work of DevOps is about configs / deployment script generation and management.

One can easily implement script using "sed" to generate the configs / deployment scripts. However, "sed" is far away from a perfect tool when you want to do some slightly complicated find / replace. From my expierence, modern Templating processor does a much better job in:

translating the variables into any forms of text-based outputs (HTML, XML, JSON, YAML, INI, ..., etc.).

Powered by (Jinja2), agile_conf supports all the features that is built-in with (Jinja2) templating, such as: template inhertitance, include, .etc.

On top of that, agile_conf comes with some useful filters for DevOps purpose:

  1. jsonify
  2. aws_userdata
    (it can translate AWS userdata into cloudformation stack template)
  3. yamlify

Other than that, I believe that we should be serious about config / deployment scripts. Rather than doing the scripts / config generation with the execution altogether at run time, I prefer that we can have the compiled scripts / configuration by hands before executing it.

So that we can review the deployment scripts / config before running them, to gain clear idea on what is going to happen and avoid the surpise you don't want.

I also believe we should manage those compiled deployment scripts / configurations in git or any other SCM, so that we can treat them seriously just like we usually does with our code. And because they're managed by SCM, we will have full history, diff between changes, and permissions control.

Basic workfolw

  1. Create a project, and use git or other SCM to manage it.
  2. Define your variable and templates.
  3. Compile artifacts: any text-based config / scripts.
  4. Commit your changes (variable, templates and the compiled scripts and configs) to the git or other SCM repository.
  5. Use Bamboo or Jenkins to check out the compiled scripts and configs and execute them. Or, you can always run the scripts locally as long as you have the permissions.
  6. Retired your compiled scripts and configs if you don't need them (You should destroy the resources accordingly, using the pre-compiled destroy scripts.)

Install

Use PIP to install it.

pip install agile-conf

If you don't have PIP, please install it first.

After the installation, you can run agc --help to verify.

Getting started

agc is the main commandline tool of agile_conf.

  1. Clone the boilplate locally.
git clone https://github.com/tly1980/agile_conf_boilplate.git ~/workspace/agile_conf_boilplate

You don't have to use this boilplate repository, you can create your own boilplate repository by using same directory structure.

1. Create a new project by using the boilplate.

$ agc create single_ec2 my_ec2 --bo_repo=~/workspace/agile_conf_boilplate/
creating project: my_ec2
using boilerplate: /Users/minddriven/workspace/agile_conf_boilplate/single_ec2

Notes: You can specify the boilplate_repo with --bo_repo, or set it in enviornment variable: AGC_BOIL.

2. Walk thorugh the project.

my_ec2 project (build from single_ec2 boilplate) comes with following structure.

Please read through the comments.

my_ec2
	/_script
	/cfn
		module.yaml  # the variables specifically for cfn module
		ec2.josn.tpl # template of cloudformation script
		0_userdata.sh.tpl # template of the userdata. 
						  # Rendering happended alphabatically
						  # '0_' prefix makes it the first one to be render.
	conf_perf.yaml   # config for 'perf' performance test builds.
	conf_prod.yaml   # config for 'prod' production builds.
	conf_uat.yaml    # config for 'uat' user user acceptance builds.
	Makefile
	project.yaml    # the common variables 
	                # that can use across 
	                # diffeent modules
	README.md

In project folder, any sub-folders do NOT has "_" prefix is a module. Each module can have its own templates. Inside the module, any file that has ".tpl" postfix in the name would be rendered.

The order of rendering is alphabetical. This is a simple way to avoid circulating dependencies.

Common template variables are defined in project.yaml, conf.yaml.

Module specific variables are defined in module.yaml.

Variables defined in conf.yaml, can be referenced in projects.yaml and module.yaml and templates.

In the single_ec2 projects, it has mupltiple conf.yaml for different enviornments. conf_uat.yaml, conf_prod.yaml and conf_prod.yaml. When you run the command, you should run it with --conf options.

With a conf_uat.yaml

name: uat
netenv: uat   # will deploy to uat subnets
number: 1

Following is a line in project.yaml

product_fullname: hello-ec2-{{ conf.name }}-{{ conf.number }}

would be rendered into

product_fullname: hello-ec2-uat-1

Variables defined in conf.yaml and project.yaml can be use in ${MODULE}/module.yaml and templates.

If you want to see the exact value used in the templates: USE inspect command.

$ agc inspect --conf conf_uat.yaml

Output would be:

with [conf=conf_uat.yaml]
[conf]
name: uat
netenv: uat
number: 1


[project]
instance_type:
  perf: m3.large
  prod: m3.medium
  uat: t2.micro
product_fullname: hello-ec2-uat-1


[cfn]
image_id: ami-d50773ef
instance_type: t2.micro
key_name: my-key
netenv: uat
subnet_id:
  prod: subnet-prodsubnet
  uat: subnet-uatsubnet
subnet_security_groups:
  prod:
  - sg-prod1
  - sg-prod2
  uat:
  - sg-uat1
  - sg-uat2
subnet_sg_group: front
tags:
- Key: Name
  Value: hello-ec2-uat-1
- Key: Environment
  Value: uat

3. Create a config build.

Run follow command will generate a build. You must provide the conf file with --conf, so that command tool knows which conf file to use.

agc build --conf conf_uat.yaml

It will generate a new folder in _builds/{conf.name}/{conf.number}.

If the content inside conf_uat.yaml is following:

name: uat
netenv: uat   # will deploy to uat subnets
number: 1

You would have a folder _builds/uat/1 with following layout:

cfn/             # all are from cfn/*.tpl
	0_userdata.sh
	ec2.json
	module.yaml
create_stack.sh  # compiled from _script/create_stack.sh.tpl
kill_stack.sh    # compiled from _script/kill_stack.sh.tpl

4. filters

agile_conf built-in jinja2 filters.

Here is the example of aws_userdata filter from the single_ec2 boilplate project.

echo "hello world"
echo "This is [{{conf.name}}-{{conf.number}}] for project: {{project.product_fullname}}"

It would be rendered into:

echo "hello world"
echo "This is [uat-1] for project: hello-ec2-uat-1"

In ec2.json.tpl we have a following code.

"UserData": {{ [_BUILD_DST_FOLDER, "0_userdata.sh"] |aws_userdata }},

It is using a aws_userdata filter to turn 0_userdata.sh into following code.

_BUILD_DST_FOLDER is the output destination folder of the module, exactly where the 0_userdata.sh located.

And you can see the shell script is rendred into cloudformation json structure:

"UserData": {
    "Fn::Base64": {
        "Fn::Join": [
            "",
            [
                "echo \"hello world\"\n",
                "echo \"This is [uat-1] for project: hello-ec2-uat-1\"\n"
            ]
        ]
    }
},

Another filter is jsonify.

In cfn/module.yaml, tags are defined in following value:

tags:
  - Key: Name
    Value: {{ project.product_fullname }}
  - Key: Environment
    Value: {{ conf.netenv }}

In cfn/ec2.json.tpl, it is how tags being used:

"Tags": {{ tags|jsonify }}

It would be rendered into following:

"Tags": [
		{"Key": "Name", "Value": "hello-ec2-uat-1"},
		{"Key": "Environment", "Value": "uat"}
	]

Commands

Command: build

Compile the variables into

agc build --conf conf_xxx.yaml

Command: inspect

Print out all the variables, would be very useful for debugging

agc inspect --conf conf_xxx.yaml

Command: inspect

agc inspect --conf conf_xxx.yaml

Shortcut: using

If you put following shell script in your BASH rc file,

using() {
    envcmd="env AGC_CONF=conf_$1.yaml"
    shift
    actual_cmd="$@"
    $envcmd $actual_cmd
}

you will have a very convinient short cut to switch different conf_xxx.yaml.

using uat agc inspect
using uat agc build

It is particular useful to do it with Makefile.

Supposed you have following a Makefile.

build_uat:
	agc build --conf conf_uat.yaml

build_prod:
	agc build --conf conf_prod.yaml

build_perf:
	agc build --conf conf_prod.yaml

With shortcut using, you could have a Makefile like following:

build_uat:
	agc build

So you can switch between different conf_xxx.yaml by:

  1. using uat make build
  2. using prod make build
  3. using perf make build

PS: using can work with all the command with --conf options.

Command: create

To create a project from boilerplate repository.

agc create ${bo_name} ${project}

Before you run this command, you should set enviornment variable AGC_BOIL,
or use it with --bo_repo with it.

--bo_repo or AGC_BOIL can only be set to point to a local path. You cannot put it GIT/HTTP URL to it, yet ... :)

Command: id

agc id --conf conf_uat.yaml or using uat agc id

Will output:

{conf_name}/{conf_number}

Command: where agc id --conf conf_uat.yaml or using uat agc where

Will output the exact location where the build is gonna to be.

e.g.:

$ using uat agc where
/Users/minddriven/workspace/play_agile_conf/my_ec2/_builds/uat/1