Advanced Usage

Using Pre/Post-Generate Hooks (0.7.0+)

You can have Python or Shell scripts that run before and/or after your project is generated.

Put them in hooks/ like this:

cookiecutter-something/
├── {{cookiecutter.repo_name}}/
├── hooks
│   ├── pre_gen_project.py
│   └── post_gen_project.py
└── cookiecutter.json

Shell scripts work similarly:

cookiecutter-something/
├── {{cookiecutter.repo_name}}/
├── hooks
│   ├── pre_gen_project.sh
│   └── post_gen_project.sh
└── cookiecutter.json

It shouldn’t be too hard to extend Cookiecutter to work with other types of scripts too. Pull requests are welcome.

For portability, you should use Python scripts (with extension .py) for your hooks, as these can be run on any platform. However, if you intend for your template to only be run on a single platform, a shell script (or .bat file on Windows) can be a quicker alternative.

Note

Make sure your hook scripts work in a robust manner. If a hook script fails (that is, if it finishes with a nonzero exit status), the project generation will stop and the generated directory will be cleaned up.

Example: Validating template variables

Here is an example of script that validates a template variable before generating the project, to be used as hooks/pre_gen_project.py:

import re
import sys


MODULE_REGEX = r'^[_a-zA-Z][_a-zA-Z0-9]+$'

module_name = '{{ cookiecutter.module_name }}'

if not re.match(MODULE_REGEX, module_name):
    print('ERROR: %s is not a valid Python module name!' % module_name)

    # exits with status 1 to indicate failure
    sys.exit(1)

User Config (0.7.0+)

If you use Cookiecutter a lot, you’ll find it useful to have a user config file. By default Cookiecutter tries to retrieve settings from a .cookiecutterrc file in your home directory.

From version 1.3.0 you can also specify a config file on the command line via --config-file:

$ cookiecutter --config-file /home/audreyr/my-custom-config.yaml cookiecutter-pypackage

Or you can set the COOKIECUTTER_CONFIG environment variable:

$ export COOKIECUTTER_CONFIG=/home/audreyr/my-custom-config.yaml

If you wish to stick to the built-in config and not load any user config file at all, use the cli option --default-config instead. Preventing Cookiecutter from loading user settings is crucial for writing integration tests in an isolated environment.

Example user config:

default_context:
    full_name: "Audrey Roy"
    email: "audreyr@gmail.com"
    github_username: "audreyr"
cookiecutters_dir: "/home/audreyr/my-custom-cookiecutters-dir/"
replay_dir: "/home/audreyr/my-custom-replay-dir/"
abbreviations:
    pp: https://github.com/audreyr/cookiecutter-pypackage.git
    gh: https://github.com/{0}.git
    bb: https://bitbucket.org/{0}

Possible settings are:

  • default_context: A list of key/value pairs that you want injected as context whenever you generate a project with Cookiecutter. These values are treated like the defaults in cookiecutter.json, upon generation of any project.
  • cookiecutters_dir: Directory where your cookiecutters are cloned to when you use Cookiecutter with a repo argument.
  • replay_dir: Directory where Cookiecutter dumps context data to, which you can fetch later on when using the replay feature.
  • abbreviations: A list of abbreviations for cookiecutters. Abbreviations can be simple aliases for a repo name, or can be used as a prefix, in the form abbr:suffix. Any suffix will be inserted into the expansion in place of the text {0}, using standard Python string formatting. With the above aliases, you could use the cookiecutter-pypackage template simply by saying cookiecutter pp, or cookiecutter gh:audreyr/cookiecutter-pypackage. The gh (github) and bb (bitbucket) abbreviations shown above are actually built in, and can be used without defining them yourself.

Calling Cookiecutter Functions From Python

You can use Cookiecutter from Python:

from cookiecutter.main import cookiecutter

# Create project from the cookiecutter-pypackage/ template
cookiecutter('cookiecutter-pypackage/')

# Create project from the cookiecutter-pypackage.git repo template
cookiecutter('https://github.com/audreyr/cookiecutter-pypackage.git')

This is useful if, for example, you’re writing a web framework and need to provide developers with a tool similar to django-admin.py startproject or npm init.

Injecting Extra Context

You can specify an extra_context dictionary that will override values from cookiecutter.json or .cookiecutterrc:

cookiecutter('cookiecutter-pypackage/',
             extra_context={'project_name': 'TheGreatest'})

Example: Injecting a Timestamp

This is a sample Python script that dynamically injects a timestamp value as a project is generated:

from cookiecutter.main import cookiecutter

from datetime import datetime

cookiecutter(
    'cookiecutter-django',
    extra_context={'timestamp': datetime.utcnow().isoformat()}
)

How this works:

  1. The script uses datetime to get the current UTC time in ISO format.
  2. To generate the project, cookiecutter() is called, passing the timestamp in as context via the extra_context dict.

Suppressing Command-Line Prompts

To suppress the prompts asking for input, use no_input.

Basic Example: Using the Defaults

TODO: document no_input:

  • As command-line argument
  • As parameter of cookiecutter()

TODO: document where context values come from in this example (cookiecutter.json and .cookiecutterrc)

Advanced Example: Defaults + Extra Context

If you combine an extra_context dict with the no_input argument, you can programmatically create the project with a set list of context parameters and without any command line prompts:

cookiecutter('cookiecutter-pypackage/',
             no_input=True,
             extra_context={'project_name': 'TheGreatest'})

See the API Reference for more details.

Templates in Context Values

The values (but not the keys!) of cookiecutter.json are also Jinja2 templates. Values from user prompts are added to the context immediately, such that one context value can be derived from previous values. This approach can potentially save your user a lot of keystrokes by providing more sensible defaults.

Basic Example: Templates in Context

Python packages show some patterns for their naming conventions:

  • a human-readable project name
  • a lowercase, dashed repository name
  • an importable, dash-less package name

Here is a cookiecuttter.json with templated values for this pattern:

{
  "project_name": "My New Project",
  "repo_name": "{{ cookiecutter.project_name|lower|replace(' ', '-') }}",
  "pkg_name": "{{ cookiecutter.repo_name|replace('-', '') }}"
}

If the user takes the defaults, or uses no_input, the templated values will be:

  • my-new-project
  • mynewproject

Or, if the user gives Yet Another New Project, the values will be:

  • yet-another-new-project
  • yetanothernewproject

Copy without Render

New in Cookiecutter 1.1

To avoid rendering directories and files of a cookiecutter mould, the _copy_without_render key can be used in the cookiecutter.json. The value of this key accepts a list of Unix shell-style wildcards:

{
    "repo_name": "sample",
    "_copy_without_render": [
        "*.html",
        "*not_rendered_dir",
        "rendered_dir/not_rendered_file.ini"
    ]
}

Replay Project Generation

New in Cookiecutter 1.1

On invocation Cookiecutter dumps a json file to ~/.cookiecutter_replay/ which enables you to replay later on.

In other words, it persists your input for a template and fetches it when you run the same template again.

Example for a replay file (which was created via cookiecutter gh:hackebrot/cookiedozer):

{
    "cookiecutter": {
        "app_class_name": "FooBarApp",
        "app_title": "Foo Bar",
        "email": "raphael@hackebrot.de",
        "full_name": "Raphael Pierzina",
        "github_username": "hackebrot",
        "kivy_version": "1.8.0",
        "repo_name": "foobar",
        "short_description": "A sleek slideshow app that supports swipe gestures.",
        "version": "0.1.0",
        "year": "2015"
    }
}

To fetch this context data without being prompted on the command line you can use either of the following methods.

Pass the according option on the CLI:

cookiecutter --replay gh:hackebrot/cookiedozer

Or use the Python API:

from cookiecutter.main import cookiecutter
cookiecutter('gh:hackebrot/cookiedozer', replay=True)

This feature is comes in handy if, for instance, you want to create a new project from an updated template.

Command Line Options

-V, --version

Show the version and exit.

--no-input

Do not prompt for parameters and only use cookiecutter.json file content

-c, --checkout

branch, tag or commit to checkout after git clone

-v, --verbose

Print debug information

--replay

Do not prompt for parameters and only use information entered previously

-f, --overwrite-if-exists

Overwrite the contents of the output directory if it already exists

-o, --output-dir

Where to output the generated project dir into

--config-file

User configuration file

--default-config

Do not load a config file. Use the defaults instead

Choice Variables (1.1+)

Choice variables provide different choices when creating a project. Depending on an user’s choice the template renders things differently.

Basic Usage

Choice variables are regular key / value pairs, but with the value being a list of strings.

For example, if you provide the follwing choice variable in your cookiecutter.json:

{
    "license": ["MIT", "BSD-3", "GNU GPL v3.0", "Apache Software License 2.0"]
}

you’d get the following choices when running Cookiecutter:

Select license:
1 - MIT
2 - BSD-3
3 - GNU GPL v3.0
4 - Apache Software License 2.0
Choose from 1, 2, 3, 4 [1]:

Depending on an user’s choice, a different license is rendered by Cookiecutter.

The above license choice variable creates cookiecutter.license, which can be used like this:

{%- if cookiecutter.license == "MIT" -%}
# Possible license content here

{%- elif cookiecutter.license == "BSD-3" -%}
# More possible license content here

Cookiecutter is using Jinja2’s if conditional expression to determine the correct license.

The created choice variable is still a regular Cookiecutter variable and can be used like this:

License
-------

Distributed under the terms of the `{{cookiecutter.license}}`_ license,

Overwriting Default Choice Values

Choice Variables are overwritable using a User Config (0.7.0+) file.

For example, a choice variable can be created in cookiecutter.json by using a list as value:

{
    "license": ["MIT", "BSD-3", "GNU GPL v3.0", "Apache Software License 2.0"]
}

By default, the first entry in the values list serves as default value in the prompt.

Setting the default license agreement to Apache Software License 2.0 can be done using:

default_context:
    license: "Apache Software License 2.0"

in the User Config (0.7.0+) file.

The resulting prompt changes and looks like:

Select license:
1 - Apache Software License 2.0
2 - MIT
3 - BSD-3
4 - GNU GPL v3.0
Choose from 1, 2, 3, 4 [1]:

Note

As you can see the order of the options changed from 1 - MIT to 1 - Apache Software License 2.0. Cookiecutter takes the first value in the list as the default.

Template Extensions

New in Cookiecutter 1.4

A template may extend the Cookiecutter environment with custom Jinja2 extensions, that can add extra filters, tests, globals or even extend the parser.

To do so, a template author must specify the required extensions in cookiecutter.json as follows:

{
    "project_slug": "Foobar",
    "year": "{% now 'utc', '%Y' %}",
    "_extensions": ["jinja2_time.TimeExtension"]
}

On invocation Cookiecutter tries to import the extensions and add them to its environment respectively.

In the above example, Cookiecutter provides the additional tag now, after installing the jinja2_time.TimeExtension and enabling it in cookiecutter.json.

Please note that Cookiecutter will not install any dependencies on its own! As a user you need to make sure you have all the extensions installed, before running Cookiecutter on a template that requires custom Jinja2 extensions.