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Python CEL - Common Expression Language

Documentation PyPI version Python 3.11+

Fast, Safe, and Expressive evaluation of Google's Common Expression Language (CEL) in Python, powered by Rust.

The Common Expression Language (CEL) is a non-Turing complete language designed for simplicity, speed, and safety. This Python package wraps the Rust implementation cel-interpreter v0.10.0, providing microsecond-level expression evaluation with seamless Python integration.

πŸš€ Use Cases

  • πŸ›‘οΈ Policy Enforcement: Define access control rules that can be updated without code changes
  • βš™οΈ Configuration Validation: Validate complex settings with declarative rules
  • πŸ”„ Data Transformation: Transform and filter data with safe, portable expressions
  • πŸ“‹ Business Rules: Implement decision logic that business users can understand
  • πŸ” Query Filtering: Build dynamic filters for databases and APIs
  • 🎯 Feature Flags: Create sophisticated feature toggle conditions

Installation

pip install common-expression-language

Or using uv:

uv add common-expression-language

After installation, both the Python library and the cel command-line tool will be available.

πŸ“– Full Documentation: https://python-common-expression-language.readthedocs.io/

Quick Start

Python API

Python values are prepared explicitly and installed into a reusable native context:

import cel

context = cel.Context()
context.add_variable("age", cel.prepare(25))
result = cel.evaluate("age >= 18", context)  # True

context.add_variable(
    "user",
    cel.prepare({"role": "admin"}),
)
context.add_variable(
    "permissions",
    cel.prepare(["read", "write", "delete"]),
)
result = cel.evaluate(
    'user.role == "admin" && "write" in permissions',
    context,
)  # True

Command Line Interface

# Simple evaluation
cel '1 + 2'  # 3

# With context
cel 'age >= 18' --context '{"age": 25}'  # true

# Interactive REPL
cel --interactive

Prepared Values and Reusable Contexts

Prepare large values outside the hot path. Prepared values are immutable snapshots and can be shared by multiple contexts. Installing a retained prepared value only clones a shared handle:

import cel

data = {
    "objects": [
        {"active": i % 2 == 0, "score": i, "profile": {"enabled": True}} for i in range(500)
    ]
}
prepared = cel.prepare(data)
context = cel.Context()
program = cel.compile("data.objects[3].profile.enabled")

for _ in range(100_000):
    context.add_variable("data", prepared)
    result = program.execute(context)

Retain prepared objects used for frequent replacement. If a context owns the final reference to a large prepared value, replacing or dropping it may recursively free the value and therefore take time proportional to its size. Returning a large map/list or passing one to a Python callback is also proportional to that result or argument size.

Custom Functions

import cel
from cel import Context, evaluate


def calculate_discount(price, rate):
    return price * rate


context = Context()
context.add_function("calculate_discount", calculate_discount)
context.add_variable("price", cel.prepare(100))

result = evaluate("price - calculate_discount(price, 0.1)", context)  # 90.0

Real-World Example

import cel
from cel import evaluate, Context

# Access control policy
policy = """
user.role == "admin" || 
(resource.owner == user.id && current_hour >= 9 && current_hour <= 17)
"""

context = Context()
context.add_variable("user", cel.prepare({"id": "alice", "role": "user"}))
context.add_variable("resource", cel.prepare({"owner": "alice"}))
context.add_variable("current_hour", cel.prepare(14))

access_granted = evaluate(policy, context)  # True

Features

  • βœ… Fast Evaluation: Microsecond-level expression evaluation via Rust
  • βœ… Rich Type System: Integers, floats, strings, lists, maps, timestamps, durations
  • βœ… Python Integration: Seamless type conversion and custom function support
  • βœ… CLI Tools: Interactive REPL and batch processing capabilities
  • βœ… Safety First: Non-Turing complete, safe for untrusted expressions

Documentation

πŸ“š Complete documentation available at: https://python-common-expression-language.readthedocs.io/

Building Documentation Locally

To build and serve the documentation locally:

# Install documentation dependencies
uv sync --group docs

# Build the documentation
uv run --group docs mkdocs build

# Serve locally with live reload
uv run --group docs mkdocs serve

The documentation will be available at http://localhost:8000

Development

Testing

# Run all tests
uv run pytest

# Run with coverage
uv run pytest --cov=cel

# Test all documentation examples (embedded code + standalone files)
uv run --group docs pytest tests/test_docs.py -v

Building from Source

# Install development dependencies
uv sync --dev

# Build the package
uv run maturin develop

# Run tests
uv run pytest

Contributing

Contributions are welcome! Please see our documentation for:

License

This project is licensed under the same terms as the original cel-interpreter crate.

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Python wrapper of a Rust CEL implementation

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