Source code for runway.cfngin.lookups.handlers.file

"""File lookup."""
# pylint: disable=arguments-differ,unused-argument
import base64
import json
import re

import yaml
from six import string_types
from six.moves.collections_abc import Mapping, Sequence  # pylint: disable=E
from troposphere import Base64, GenericHelperFn

from runway.lookups.handlers.base import LookupHandler

from ...util import read_value_from_path

TYPE_NAME = "file"

_PARAMETER_PATTERN = re.compile(r"{{([::|\w]+)}}")

[docs]class FileLookup(LookupHandler): """File lookup."""
[docs] @classmethod def handle(cls, value, context=None, provider=None, **kwargs): r"""Translate a filename into the file contents. Args: value (str): Parameter(s) given to this lookup. context (:class:`runway.cfngin.context.Context`): Context instance. provider (:class:`runway.cfngin.providers.base.BaseProvider`): Provider instance. Fields should use the following format:: <codec>:<path> Example:: # We've written a file to /some/path: $ echo "hello there" > /some/path # With CFNgin we would reference the contents of this file with the # following conf_key: ${file plain:file://some/path} # The above would resolve to conf_key: hello there # Or, if we used wanted a base64 encoded copy of the file data conf_key: ${file base64:file://some/path} # The above would resolve to conf_key: aGVsbG8gdGhlcmUK Supported codecs: **plain** Plain Text **base64** Encode the plain text file at the given path with base64 prior to returning it. **parameterized** The same as plain, but additionally supports referencing template parameters to create userdata that's supplemented with information from the template, as is commonly needed in EC2 UserData. For example, given a template parameter of BucketName, the file could contain the following text:: #!/bin/sh aws s3 sync s3://{{BucketName}}/somepath /somepath Then you could use something like this in the YAML config file:: UserData: ${file parameterized:/path/to/file} Resulting in the UserData parameter being defined as:: { "Fn::Join" : ["", [ "#!/bin/sh\\naws s3 sync s3://", {"Ref" : "BucketName"}, "/somepath /somepath" ]] } **parameterized-b64** The same as parameterized, with the results additionally wrapped in ``{ "Fn::Base64": ... }`` , which is what you actually need for EC2 UserData. When using parameterized-b64 for UserData, you should use a variable defined as such: .. code-block:: python from troposphere import AWSHelperFn "UserData": { "type": AWSHelperFn, "description": "Instance user data", "default": Ref("AWS::NoValue") } Then assign UserData in a LaunchConfiguration or Instance to ``self.get_variables()["UserData"]``. Note that we use AWSHelperFn as the type because the parameterized-b64 codec returns either a Base64 or a GenericHelperFn troposphere object. **json** Decode the file as JSON and return the resulting object **json-parameterized** Same as ``json``, but applying templating rules from ``parameterized`` to every object *value*. Note that object *keys* are not modified. Example (an external PolicyDocument):: { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "some:Action" ], "Resource": "{{MyResource}}" } ] } **yaml** Decode the file as YAML and return the resulting object. All strings are returned as ``unicode`` even in Python 2. **yaml-parameterized** Same as ``json-parameterized``, but using YAML. Example:: Version: 2012-10-17 Statement: - Effect: Allow Action: - "some:Action" Resource: "{{MyResource}}" """ try: codec, path = value.split(":", 1) except ValueError: raise TypeError( 'File value must be of the format "<codec>:<path>" (got %s)' % (value) ) value = read_value_from_path(path) return CODECS[codec](value)
def _parameterize_string(raw): """Substitute placeholders in a string using CloudFormation references. Args: raw (str): String to be processed. Byte strings are not supported; decode them before passing them to this function. Returns: str | :class:`troposphere.GenericHelperFn`: An expression with placeholders from the input replaced, suitable to be passed to Troposphere to be included in CloudFormation template. This will be the input string without modification if no substitutions are found, and a composition of CloudFormation calls otherwise. """ parts = [] s_index = 0 for match in _PARAMETER_PATTERN.finditer(raw): parts.append(raw[s_index : match.start()]) parts.append({u"Ref":}) s_index = match.end() if not parts: return GenericHelperFn(raw) parts.append(raw[s_index:]) return GenericHelperFn({u"Fn::Join": [u"", parts]})
[docs]def parameterized_codec(raw, b64): """Parameterize a string, possibly encoding it as Base64 afterwards. Args: raw (Union[bytes, str]): String to be processed. Byte strings will be interpreted as UTF-8. b64 (bool): Whether to wrap the output in a Base64 CloudFormation call. Returns: :class:`troposphere.AWSHelperFn`: Output to be included in a CloudFormation template. """ if isinstance(raw, bytes): raw = raw.decode("utf-8") result = _parameterize_string(raw) # Note, since we want a raw JSON object (not a string) output in the # template, we wrap the result in GenericHelperFn (not needed if we're # using Base64) return Base64( if b64 else result
def _parameterize_obj(obj): """Recursively parameterize all strings contained in an object. Parametrizes all values of a Mapping, all items of a Sequence, an unicode string, or pass other objects through unmodified. Byte strings will be interpreted as UTF-8. Args: obj (Any): Data to parameterize. Return: A parameterized object to be included in a CloudFormation template. Mappings are converted to `dict`, Sequences are converted to `list`, and strings possibly replaced by compositions of function calls. """ if isinstance(obj, Mapping): return dict((key, _parameterize_obj(value)) for key, value in obj.items()) if isinstance(obj, bytes): return _parameterize_string(obj.decode("utf8")) if isinstance(obj, string_types): return _parameterize_string(obj) if isinstance(obj, Sequence): return list(_parameterize_obj(item) for item in obj) return obj
[docs]class SafeUnicodeLoader(yaml.SafeLoader): """Safe unicode loader."""
[docs] def construct_yaml_str(self, node): """Construct yaml str.""" return self.construct_scalar(node)
[docs]def yaml_codec(raw, parameterized=False): """YAML codec.""" data = yaml.load(raw, Loader=SafeUnicodeLoader) return _parameterize_obj(data) if parameterized else data
[docs]def json_codec(raw, parameterized=False): """JSON codec.""" data = json.loads(raw) return _parameterize_obj(data) if parameterized else data
CODECS = { "plain": lambda x: x, "base64": lambda x: base64.b64encode(x.encode("utf8")).decode("utf-8"), "parameterized": lambda x: parameterized_codec(x, False), "parameterized-b64": lambda x: parameterized_codec(x, True), "yaml": lambda x: yaml_codec(x, parameterized=False), "yaml-parameterized": lambda x: yaml_codec(x, parameterized=True), "json": lambda x: json_codec(x, parameterized=False), "json-parameterized": lambda x: json_codec(x, parameterized=True), }