monic-framework 0.1.7

Monic Framework

Monic Framework

Monic Framework is a powerful expression evaluation and code execution framework that provides a safe and flexible way to parse and interpret Python-style code. It offers a robust expression parser and interpreter designed for dynamic code evaluation, scripting, and embedded programming scenarios.

Key Features

• Python-style syntax support
• Secure code execution environment
• Expression parsing and interpretation
• Function definition and call support
• Built-in type checking and validation
• Seamless integration with existing Python projects

Supported Language Features

Core Python Features

• Variables and basic data types (int, float, str, bool, etc.)
• Control flow statements (if/else, for, while, break, continue)
• Functions with full parameter support:
  • Positional and keyword arguments
  • Default values
  • Variable arguments (*args)
  • Keyword arguments (**kwargs)
  • Keyword-only arguments
• Lambda expressions
• List, set, and dictionary comprehensions
• Context managers (with statements)
• Exception handling (try/except/finally)
• Classes and object-oriented programming
• Pattern matching (match/case statements)

Expression Support

• Arithmetic operations (+, -, *, /, //, %, **)
• Comparison operations (==, !=, <, >, <=, >=)
• Logical operations (and, or, not)
• Bitwise operations (&, |, ^, <<, >>)
• Assignment operations (=, +=, -=, *=, etc.)
• Attribute access (obj.attr)
• Subscript operations (obj[key])
• Function and method calls
• String formatting (f-strings)
• Tuple and list unpacking
• Named expressions (walrus operator :=)

Built-in Functions and Types

• Essential built-ins (print, len, range, etc.)
• Type conversion functions (int, float, str, bool)
• Collection operations (min, max, sum, sorted)
• Iteration helpers (enumerate, zip, filter, map)
• Type checking (isinstance, issubclass)

Security Features

• Sandboxed execution environment
• Restricted access to system resources
• Prevention of malicious code execution
• Execution timeout protection:
  • Configurable maximum execution time
  • Automatic termination of long-running code
  • Protection against infinite loops
  • Time-based resource control
• Forbidden operations disallowed:
  • File system operations
  • System command execution
  • Module imports
  • Access to sensitive attributes
  • Dangerous built-in functions

Installation

Basic Installation

pip install -U monic-framework

Or with extra dependencies such as pyarrow, numpy, pandas, and polars:

pip install -U monic-framework[extra]

Development Installation

pip install -e .[dev]

Or with extra dependencies such as pyarrow, numpy, pandas, and polars:

pip install -e .[dev,extra]

Quick Start

Basic Usage

from monic.expressions import ExpressionsParser, ExpressionsInterpreter


# Initialize parser and interpreter
parser = ExpressionsParser()
interpreter = ExpressionsInterpreter()

# Define code to execute
code = """
# Variable assignment
x = 10
y = 20

# Conditional statement
if x < y:
    result = "y is greater"
else:
    result = "x is greater"

# Return result
result
"""

# Parse code and execute it
tree = parser.parse(code)
result = interpreter.execute(tree)
print(result)  # Output: "y is greater"

Function Definition and Calls

from monic.expressions import ExpressionsParser, ExpressionsInterpreter


# Initialize parser and interpreter
parser = ExpressionsParser()
interpreter = ExpressionsInterpreter()

# Define code to execute
code = """
def calculate_sum(a: int, b: int) -> int:
    return a + b

def calculate_average(numbers: list[int]) -> float:
    total = 0
    for num in numbers:
        total += num
    return total / len(numbers)

# Using functions
sum_result = calculate_sum(10, 20)
avg_result = calculate_average([1, 2, 3, 4, 5])

[sum_result, avg_result]
"""

# Parse code and execute it
tree = parser.parse(code)
result = interpreter.execute(tree)
print(result)  # Output: [30, 3.0]

Binding Python Objects

from monic.expressions import (
    ExpressionsParser,
    ExpressionsInterpreter,
    monic_bind,
)


# Define functions and bind them to the interpreter
@monic_bind
def calculate_sum(x: int, y: int) -> int:
    return x + y


@monic_bind
def calculate_average(numbers: list[int]) -> float:
    total = 0
    for num in numbers:
        total += num
    return total / len(numbers)


# Initialize parser and interpreter
parser = ExpressionsParser()
interpreter = ExpressionsInterpreter()

# Define code to execute
code = """
# Using bound functions
sum_result = calculate_sum(10, 20)
avg_result = calculate_average([1, 2, 3, 4, 5])

[sum_result, avg_result]
"""

# Parse code and execute it
tree = parser.parse(code)
result = interpreter.execute(tree)
print(result)  # Output: [30, 3.0]

Timeout Control

from monic.expressions import ExpressionsParser, ExpressionsContext, ExpressionsInterpreter


# Initialize parser
parser = ExpressionsParser()
# Initialize with timeout context
context = ExpressionsContext(timeout=5.0)  # Set 5 seconds timeout
# Initialize interpreter with context
interpreter = ExpressionsInterpreter(context=context)

# This will be terminated after 5 seconds
code = """
while True:
    pass  # Infinite loop
"""

try:
    tree = parser.parse(code)
    interpreter.execute(tree)
except TimeoutError:
    print("Code execution timed out")  # Output: Code execution timed out

License

This project is licensed under the terms specified in the LICENSE file.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Issues and Support

For bug reports or feature requests, please submit them through GitHub Issues.