feat: implement comprehensive query paradigm zoo system (issue #62)
- 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>
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88
markitect/query_paradigms/paradigms/nosql_paradigm.py
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88
markitect/query_paradigms/paradigms/nosql_paradigm.py
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"""
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NoSQL Query Languages Paradigm - MongoDB, Cypher, etc.
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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 NoSQLQueryParadigm(BaseQueryParadigm):
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"""NoSQL query paradigm for document and graph databases."""
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@property
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def name(self) -> str:
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return "NoSQL Queries"
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@property
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def description(self) -> str:
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return "MongoDB-style queries, Cypher for graph traversal, and other NoSQL query languages"
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@property
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def category(self) -> str:
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return "structural"
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@property
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def complexity(self) -> str:
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return "advanced"
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def execute(self, query: str, config: Dict[str, Any] = None) -> QueryResult:
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"""Execute NoSQL query (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": "NoSQL queries enable document and graph-based data access patterns"
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},
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success=False,
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error_message="NoSQL Query 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 NoSQL queries."""
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return [
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{
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"name": "MongoDB-style find",
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"description": "Find documents with specific criteria",
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"query": "db.files.find({author: 'Alice', tags: {$in: ['tutorial']}})"
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},
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{
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"name": "Cypher graph traversal",
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"description": "Find related files through tags",
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"query": "MATCH (f:File)-[:HAS_TAG]->(t:Tag)<-[:HAS_TAG]-(related:File) WHERE f.author = 'Alice' RETURN related"
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},
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{
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"name": "Aggregation pipeline",
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"description": "MongoDB aggregation for statistics",
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"query": "db.files.aggregate([{$group: {_id: '$author', count: {$sum: 1}}}, {$sort: {count: -1}}])"
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}
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]
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def validate_query(self, query: str) -> tuple[bool, Optional[str]]:
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"""Validate NoSQL query syntax."""
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if not query.strip():
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return False, "NoSQL query cannot be empty"
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return True, None
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def get_syntax_help(self) -> str:
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"""Get syntax help for NoSQL queries."""
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return """NoSQL Query Syntax:
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MongoDB-style:
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db.collection.find({field: value})
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db.collection.aggregate([{$match: {field: value}}])
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Cypher (Neo4j):
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MATCH (n:Label) WHERE n.property = 'value' RETURN n
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Supported operations will include find, aggregate, graph traversal, and document manipulation.
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"""
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