2023-04-24 10:26:25 +00:00
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from typing import Any, Dict, List
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def parameter_arn(account_id: str, region: str, parameter_name: str) -> str:
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2019-11-30 20:03:51 -05:00
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if parameter_name[0] == "/":
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parameter_name = parameter_name[1:]
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2022-08-13 09:49:43 +00:00
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return f"arn:aws:ssm:{region}:{account_id}:parameter/{parameter_name}"
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2022-02-12 12:59:15 -01:00
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2023-04-24 10:26:25 +00:00
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def convert_to_tree(parameters: List[Dict[str, Any]]) -> Dict[str, Any]:
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2022-02-12 12:59:15 -01:00
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"""
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Convert input into a smaller, less redundant data set in tree form
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Input: [{"Name": "/a/b/c", "Value": "af-south-1", ...}, ..]
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Output: {"a": {"b": {"c": {"Value": af-south-1}, ..}, ..}, ..}
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"""
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2023-04-24 10:26:25 +00:00
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tree_dict: Dict[str, Any] = {}
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2022-02-12 12:59:15 -01:00
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for p in parameters:
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current_level = tree_dict
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for path in p["Name"].split("/"):
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if path == "":
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continue
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if path not in current_level:
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current_level[path] = {}
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current_level = current_level[path]
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current_level["Value"] = p["Value"]
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return tree_dict
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2023-04-24 10:26:25 +00:00
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def convert_to_params(tree: Dict[str, Any]) -> List[Dict[str, Any]]:
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2022-02-12 12:59:15 -01:00
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"""
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Inverse of 'convert_to_tree'
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"""
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2023-04-24 10:26:25 +00:00
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def m(
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tree: Dict[str, Any], params: List[Dict[str, Any]], current_path: str = ""
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) -> None:
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2022-02-12 12:59:15 -01:00
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for key, value in tree.items():
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if key == "Value":
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params.append({"Name": current_path, "Value": value})
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else:
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m(value, params, current_path + "/" + key)
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2023-04-24 10:26:25 +00:00
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params: List[Dict[str, Any]] = []
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2022-02-12 12:59:15 -01:00
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m(tree, params)
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return params
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