d63685401d
- Comprehensive skill validation, testing, and quality scoring framework - skill_validator.py: validates structure, documentation, and compliance (700+ LOC) - script_tester.py: tests syntax, functionality, and runtime behavior (800+ LOC) - quality_scorer.py: multi-dimensional quality assessment with scoring (1100+ LOC) - Complete reference documentation (structure spec, tier requirements, scoring rubric) - Sample skill with assets and expected outputs for testing - CI/CD integration examples and pre-commit hook support - Zero external dependencies, dual output formats (JSON + human-readable) - Self-testing capable meta-skill for quality assurance automation
2.5 KiB
2.5 KiB
Text Processor API Reference
Classes
TextProcessor
Main class for text processing operations.
__init__(self, encoding: str = 'utf-8')
Initialize the text processor with specified encoding.
Parameters:
encoding(str): Character encoding for file operations. Default: 'utf-8'
analyze_text(self, text: str) -> Dict[str, Any]
Analyze text and return comprehensive statistics.
Parameters:
text(str): Text content to analyze
Returns:
dict: Statistics including word count, character count, lines, most frequent word
Example:
processor = TextProcessor()
stats = processor.analyze_text("Hello world")
# Returns: {'total_words': 2, 'unique_words': 2, ...}
transform_text(self, text: str, mode: str) -> str
Transform text according to specified mode.
Parameters:
text(str): Text to transformmode(str): Transformation mode ('upper', 'lower', 'title', 'reverse')
Returns:
str: Transformed text
Raises:
ValueError: If mode is not supported
OutputFormatter
Static methods for output formatting.
format_json(data: Dict[str, Any]) -> str
Format data as JSON string.
format_human_readable(data: Dict[str, Any]) -> str
Format data as human-readable text.
FileManager
Handles file operations and batch processing.
find_text_files(self, directory: str) -> List[str]
Find all text files in a directory recursively.
Supported Extensions:
- .txt
- .md
- .rst
- .csv
- .log
Command Line Interface
Commands
analyze
Analyze text file statistics.
python text_processor.py analyze <file> [options]
transform
Transform text file content.
python text_processor.py transform <file> --mode <mode> [options]
batch
Process multiple files in a directory.
python text_processor.py batch <directory> [options]
Global Options
--format {json,text}: Output format (default: text)--output FILE: Output file path (default: stdout)--encoding ENCODING: Text file encoding (default: utf-8)--verbose: Enable verbose output
Error Handling
The text processor handles several error conditions:
- FileNotFoundError: When input file doesn't exist
- UnicodeDecodeError: When file encoding doesn't match specified encoding
- PermissionError: When file access is denied
- ValueError: When invalid transformation mode is specified
All errors are reported to stderr with descriptive messages.