tegwick
5143864a86
- Created extensible BaseQueryParadigm interface with standardized QueryResult format - Implemented QueryParadigmRegistry for paradigm discovery and management - Added 5 working paradigms: SQL, FTS, GraphQL, JSONPath, Natural Language - Documented 9 additional paradigms: QBE, Batch Manipulation, Visual Query Builder, REST API, NoSQL, UNIX Pipeline, XPath/XQuery, RAG, Data Transformation - Integrated full CLI interface: list, search, show, exec, categories commands - Added comprehensive test suite with 23 test cases covering all components - Auto-registration system enables easy addition of new paradigms - Organized paradigms by category (structural, textual, semantic, visual, procedural, network) and complexity (beginner, intermediate, advanced) 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
116 lines
3.6 KiB
Python
116 lines
3.6 KiB
Python
"""
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Data Transformation Paradigm - JSON/YAML/XML serialization.
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"""
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import time
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from typing import Dict, Any, List, Optional
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from ..base import BaseQueryParadigm, QueryResult
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class DataTransformationParadigm(BaseQueryParadigm):
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"""Data transformation paradigm for format conversion and serialization."""
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@property
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def name(self) -> str:
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return "Data Transformation"
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@property
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def description(self) -> str:
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return "Serialize and transform data between JSON, YAML, XML, and other formats for application use"
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@property
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def category(self) -> str:
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return "procedural"
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@property
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def complexity(self) -> str:
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return "intermediate"
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def execute(self, query: str, config: Dict[str, Any] = None) -> QueryResult:
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"""Execute transformation (not yet implemented)."""
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start_time = time.time()
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execution_time = (time.time() - start_time) * 1000
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return QueryResult(
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paradigm=self.name,
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query=query,
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execution_time_ms=execution_time,
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result_count=0,
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results=[],
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metadata={
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"status": "not_implemented",
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"implementation_issue": "TBD - to be created",
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"description": "Data transformation enables format conversion and serialization"
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},
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success=False,
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error_message="Data Transformation paradigm not yet implemented."
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)
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def get_examples(self) -> List[Dict[str, str]]:
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"""Get example transformations."""
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return [
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{
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"name": "Export to JSON",
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"description": "Transform file metadata to JSON",
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"query": "transform --input=files --output=json --format=compact"
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},
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{
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"name": "Convert to YAML",
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"description": "Export configuration as YAML",
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"query": "transform --input=config --output=yaml --pretty"
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},
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{
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"name": "Generate XML",
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"description": "Create XML from file structure",
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"query": "transform --input=files --output=xml --schema=file-manifest"
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},
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{
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"name": "Custom template",
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"description": "Apply custom transformation template",
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"query": "transform --template=custom.jinja2 --input=files --output=html"
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}
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]
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def validate_query(self, query: str) -> tuple[bool, Optional[str]]:
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"""Validate transformation command."""
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if not query.strip():
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return False, "Transformation command cannot be empty"
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if not query.startswith('transform'):
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return False, "Command must start with 'transform'"
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return True, None
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def get_syntax_help(self) -> str:
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"""Get syntax help for transformations."""
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return """Data Transformation Syntax:
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Basic Format:
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transform --input=<source> --output=<format> [options]
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Input Sources:
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--input=files - File metadata
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--input=tags - Tag information
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--input=config - Configuration data
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--input=stats - Statistics data
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Output Formats:
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--output=json - JSON format
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--output=yaml - YAML format
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--output=xml - XML format
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--output=csv - CSV format
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--output=html - HTML format
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Options:
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--pretty - Pretty-print output
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--compact - Compact output
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--template=<file> - Custom template
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--schema=<name> - Use predefined schema
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--filter=<expression> - Filter data
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Examples:
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transform --input=files --output=json --pretty
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transform --input=tags --output=yaml --filter="count > 5"
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transform --template=report.html --input=stats --output=html
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""" |