CEL evaluator for GCP

This is not an official Google product.

This module allows to evaluate the Google Cloud IAM Conditions where CEL is the expression language.

Author

hm98765@github

Usage

1. Install the package

   pip install celgcp

   or

   poetry add celgcp
   

2. Import the class and exception

   from celgcp.celgcp import CELEvaluator, CELEvaluatorException

3. Create a CEL Expression

   cel_source = """
   resource.matchTag('prj/dataset', 'value_1') 
   && resource.name.startsWith('projects/my-project/datasets/foo')
   """

4. Create an instance of the CELEvaluator

   cel_evaluator = CELEvaluator(cel_source)

5. Create the activation context

    activation = {
       "resource": celpy.json_to_cel(
           {
               "name": "projects/my-project/datasets/foo/bar",
               "Tags": [
                   {"prj/dataset": "value_1"},
                   {"prj/table": "value_2"},
                   {"prj/mytag": "value_38"},
                   {"tagKeys/123456789012": "tagValues/567890123456"},
                   {"tagKeys/987654321": "tagValues/111111"},
               ],
           },
       ),
   }

6. call the evaluate method

   result = cel_evaluator.evaluate(activation)

Example

A complete example

    from datetime import datetime
    import celpy
    from celgcp.celgcp import CELEvaluator, CELEvaluatorException

    cel_source = """
    resource.matchTag('prj/dataset', 'value_1') 
    && resource.name.startsWith('projects/my-project/datasets/foo')
    && request.time < timestamp("2024-03-21T01:14:51Z")
    """

    date_string = "2021-03-21T01:14:51Z"
    datetime_object = datetime.strptime(date_string, "%Y-%m-%dT%H:%M:%SZ")

    activation = {
        "request": celpy.json_to_cel({"time": datetime_object}),
        "resource": celpy.json_to_cel(
            {
                "name": "projects/my-project/datasets/foo/bar",
                "Tags": [
                    {"prj/dataset": "value_1"},
                    {"prj/table": "value_2"},
                    {"prj/mytag": "value_38"},
                    {"tagKeys/123456789012": "tagValues/567890123456"},
                    {"tagKeys/987654321": "tagValues/111111"},
                ],
            },
        ),
    }

    cel_evaluator = CELEvaluator(cel_source)
    result = cel_evaluator.evaluate(activation)

Language

• Python

Dependencies

The dependencies are listed in the pyproject.toml

License

Apache 2.0; see LICENSE for details.

Tests

poetry run pytest ./tests/tests.py

This is not an officially supported Google product. This project is not eligible for the Google Open Source Software Vulnerability Rewards Program.