Implement support for YAML and JSON codecs for the file lookup

CHANGELOG.md

@@ -1,3 +1,7 @@
+## Upcoming/Master
+
+- Add JSON and YAML codecs to file lookup
+
 ## 1.3.0 (2018-05-03)
 
 - Support for provisioning stacks in multiple accounts and regions has been added [GH-553], [GH-551]

docs/lookups.rst

@@ -246,6 +246,35 @@ Supported codecs:
  - parameterized-b64 - the same as parameterized, with the results additionally
    wrapped in { "Fn::Base64": ... } , which is what you actually need for
    EC2 UserData
+ - 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}}"
+
 
 When using parameterized-b64 for UserData, you should use a local_parameter defined
 as such::

setup.py

@@ -16,6 +16,7 @@
     "gitpython~=2.0",
     "schematics~=2.0.1",
     "formic2",
+    "python-dateutil~=2.0",
 ]
 
 tests_require = [

stacker/lookups/handlers/file.py

@@ -1,14 +1,27 @@
 from __future__ import print_function
 from __future__ import division
 from __future__ import absolute_import
-import re
+from builtins import bytes, str
+
 import base64
+import json
+import re
+try:
+    from collections.abc import Mapping, Sequence
+except ImportError:
+    from collections import Mapping, Sequence
+
+import yaml
 
-from ...util import read_value_from_path
 from troposphere import GenericHelperFn, Base64
 
+from ...util import read_value_from_path
+
+
 TYPE_NAME = "file"
 
+_PARAMETER_PATTERN = re.compile(r'{{([::|\w]+)}}')
+
 
 def handler(value, **kwargs):
     """Translate a filename into the file contents.
@@ -99,29 +112,113 @@ def handler(value, **kwargs):
     return CODECS[codec](value)
 
 
-def parameterized_codec(raw, b64):
-    pattern = re.compile(r'{{([::|\w]+)}}')
+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 pattern.finditer(raw):
+    for match in _PARAMETER_PATTERN.finditer(raw):
         parts.append(raw[s_index:match.start()])
-        parts.append({"Ref": match.group(1)})
+        parts.append({u"Ref": match.group(1)})
         s_index = match.end()
 
+    if not parts:
+        return raw
+
     parts.append(raw[s_index:])
-    result = {"Fn::Join": ["", parts]}
+    return GenericHelperFn({u"Fn::Join": [u"", parts]})
+
+
+def parameterized_codec(raw, b64):
+    """Parameterize a string, possibly encoding it as Base64 afterwards
+
+    Args:
+        raw (`str` | `bytes`): 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.GenericHelperFn`: 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(result) if b64 else GenericHelperFn(result)
+    return Base64(result.data) if b64 else result
+
+
+def _parameterize_obj(obj):
+    """Recursively parameterize all strings contained in an object.
+
+    Parameterizes 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: 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())
+    elif isinstance(obj, bytes):
+        return _parameterize_string(obj.decode('utf8'))
+    elif isinstance(obj, str):
+        return _parameterize_string(obj)
+    elif isinstance(obj, Sequence):
+        return list(_parameterize_obj(item) for item in obj)
+    else:
+        return obj
+
+
+class SafeUnicodeLoader(yaml.SafeLoader):
+    def construct_yaml_str(self, node):
+        return self.construct_scalar(node)
+
+
+def yaml_codec(raw, parameterized=False):
+    data = yaml.load(raw, Loader=SafeUnicodeLoader)
+    return _parameterize_obj(data) if parameterized else data
+
+
+def json_codec(raw, parameterized=False):
+    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')),
     "parameterized": lambda x: parameterized_codec(x, False),
-    "parameterized-b64": lambda x: parameterized_codec(x, True)
+    "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),
 }