File Processing and Batch Operations

def fix_file(
    filename: str, 
    args: Mapping[str, Any], 
    standard_out: IO[str] | None = None
) -> int:
    """
    Runs fix_code() on a file and returns exit status.
    
    Processes a single file with autoflake transformations, handling encoding
    detection, file I/O, and error reporting.
    
    Args:
        filename: Path to the Python file to process
        args: Dictionary of configuration options (same keys as fix_code parameters)
        standard_out: Optional output stream for results (defaults to stdout)
        
    Returns:
        Exit status code (0 for success, non-zero for errors)
    """

def find_files(
    filenames: list[str], 
    recursive: bool, 
    exclude: Iterable[str]
) -> Iterable[str]:
    """
    Yields filenames that match the specified criteria.
    
    Discovers Python files from input paths, with support for recursive
    directory traversal and pattern-based exclusion.
    
    Args:
        filenames: List of file or directory paths to process
        recursive: Whether to recurse into subdirectories
        exclude: Glob patterns for files/directories to exclude
        
    Yields:
        Paths to Python files that match the criteria
    """

def is_python_file(filename: str) -> bool:
    """
    Returns True if filename refers to a Python source file.
    
    Checks both file extension (.py, .pyi) and shebang line to identify
    Python files, including executable scripts.
    
    Args:
        filename: Path to file to check
        
    Returns:
        True if file is identified as Python source code
    """

def is_exclude_file(filename: str, exclude: Iterable[str]) -> bool:
    """
    Returns True if file matches any exclusion pattern.
    
    Uses glob pattern matching to determine if a file should be excluded
    from processing based on user-specified patterns.
    
    Args:
        filename: Path to file to check
        exclude: Iterable of glob patterns for exclusion
        
    Returns:
        True if file matches any exclusion pattern
    """

def match_file(filename: str, exclude: Iterable[str]) -> bool:
    """
    Returns True if file is acceptable for processing.
    
    Combines Python file detection and exclusion pattern matching to
    determine if a file should be processed.
    
    Args:
        filename: Path to file to check
        exclude: Iterable of glob patterns for exclusion
        
    Returns:
        True if file should be processed (is Python and not excluded)
    """

def open_with_encoding(
    filename: str, 
    encoding: str | None, 
    mode: str = "r", 
    limit_byte_check: int = -1
) -> IO[str]:
    """
    Opens file with specified or detected encoding.
    
    Handles encoding detection and file opening with proper error handling
    for various encoding scenarios commonly found in Python projects.
    
    Args:
        filename: Path to file to open
        encoding: Specific encoding to use, or None for auto-detection
        mode: File open mode (default "r")
        limit_byte_check: Byte limit for encoding detection (-1 for no limit)
        
    Returns:
        Opened file handle with correct encoding
    """

def detect_encoding(filename: str, limit_byte_check: int = -1) -> str:
    """
    Returns the detected encoding of a Python file.
    
    Uses Python's tokenize module to detect file encoding from PEP 263
    encoding declarations or defaults to utf-8.
    
    Args:
        filename: Path to file to analyze
        limit_byte_check: Byte limit for detection (-1 for no limit)
        
    Returns:
        Detected encoding name (e.g., 'utf-8', 'latin-1')
    """

def get_diff_text(
    old: Sequence[str], 
    new: Sequence[str], 
    filename: str
) -> str:
    """
    Returns unified diff text between old and new content.
    
    Generates a unified diff format showing changes made to a file,
    suitable for display in terminals or integration with version control.
    
    Args:
        old: Original lines of content
        new: Modified lines of content  
        filename: File name to display in diff header
        
    Returns:
        Unified diff as a string
    """

def get_indentation(line: str) -> str:
    """
    Returns the leading whitespace from a line.
    
    Extracts indentation (spaces and tabs) to preserve Python code structure
    when modifying lines.
    
    Args:
        line: Source code line to analyze
        
    Returns:
        Leading whitespace characters
    """

def get_line_ending(line: str) -> str:
    """
    Returns the line ending characters from a line.
    
    Detects and preserves original line endings (\\n, \\r\\n, \\r) to maintain
    file format consistency.
    
    Args:
        line: Source code line to analyze
        
    Returns:
        Line ending characters found in the line
    """

import autoflake

# Process a single file with basic options
exit_code = autoflake.fix_file(
    "example.py",
    {
        "remove_unused_variables": True,
        "remove_all_unused_imports": True,
        "in_place": True
    }
)

if exit_code == 0:
    print("File processed successfully")
else:
    print("Error processing file")

import autoflake

# Find all Python files in a project, excluding tests
files = list(autoflake.find_files(
    ["src/", "lib/"],
    recursive=True,
    exclude=["*/test_*.py", "*/tests/*", "__pycache__"]
))

print(f"Found {len(files)} Python files to process")

import autoflake
import os

# Check if files are Python before processing
for filename in os.listdir("."):
    if autoflake.is_python_file(filename):
        if not autoflake.is_exclude_file(filename, ["__pycache__"]):
            print(f"Would process: {filename}")

import autoflake

# Detect encoding before processing
encoding = autoflake.detect_encoding("script.py")
print(f"File encoding: {encoding}")

# Open with detected encoding
with autoflake.open_with_encoding("script.py", encoding) as f:
    content = f.read()
    
# Process with encoding awareness
cleaned = autoflake.fix_code(content, remove_unused_variables=True)

import autoflake

# Generate diff showing changes
original_lines = source_code.splitlines(keepends=True)
cleaned_code = autoflake.fix_code(source_code, remove_unused_variables=True)
cleaned_lines = cleaned_code.splitlines(keepends=True)

diff = autoflake.get_diff_text(original_lines, cleaned_lines, "example.py")
print(diff)

import autoflake

def process_project(root_dir, config):
    """Process all Python files in a project directory."""
    files = autoflake.find_files(
        [root_dir],
        recursive=True,
        exclude=config.get("exclude", [])
    )
    
    results = {"success": 0, "errors": 0}
    
    for filename in files:
        try:
            exit_code = autoflake.fix_file(filename, config)
            if exit_code == 0:
                results["success"] += 1
            else:
                results["errors"] += 1
                print(f"Error processing {filename}")
        except Exception as e:
            results["errors"] += 1
            print(f"Exception processing {filename}: {e}")
    
    return results

# Usage
config = {
    "remove_unused_variables": True,
    "remove_all_unused_imports": True,
    "in_place": True
}

results = process_project("src/", config)
print(f"Processed {results['success']} files successfully, {results['errors']} errors")