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Upload tantivy_search_agent.py
Browse files- tantivy_search_agent.py +165 -0
tantivy_search_agent.py
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| 1 |
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from typing import List, Dict, Any, Optional
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from tantivy import Index
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import logging
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import os
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import re
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class TantivySearchAgent:
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def __init__(self, index_path: str):
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"""Initialize the Tantivy search agent with the index path"""
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self.index_path = index_path
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self.logger = logging.getLogger(__name__)
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try:
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self.index = Index.open(index_path)
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self.logger.info(f"Successfully opened Tantivy index at {index_path}")
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except Exception as e:
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self.logger.error(f"Failed to open Tantivy index: {e}")
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raise
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def get_query_instructions(self) -> str:
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"""Return instructions for the LLM on how to parse and construct Tantivy queries"""
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return """
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Instructions for generating a query:
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1. Boolean Operators:
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- AND: term1 AND term2 (both required)
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- OR: term1 OR term2 (either term)
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- Multiple words default to OR operation (cloud network = cloud OR network)
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- AND takes precedence over OR
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- Example: Shabath AND (walk OR go)
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2. Field-specific Terms:
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- Field-specific terms: field:term
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- Example: text:讗讚诐 AND reference:讘专讗砖讬转
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- available fields: text, reference, topics
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- text contains the text of the document
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- reference contains the citation of the document, e.g. 讘专讗砖讬转, 驻专拽 讗
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- topics contains the topics of the document. available topics includes: 转谞讱, 讛诇讻讛, 诪讚专砖, etc.
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3. Required/Excluded Terms:
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- Required (+): +term (must contain)
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- Excluded (-): -term (must not contain)
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- Example: +security cloud -deprecated
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- Equivalent to: security AND cloud AND NOT deprecated
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4. Phrase Search:
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- Use quotes: "exact phrase"
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- Both single/double quotes work
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- Escape quotes with \\"
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- Slop operator: "term1 term2"~N
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- Example: "cloud security"~2
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- the above will find "cloud framework and security "
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- Prefix matching: "start of phrase"*
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5. Wildcards:
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- ? for single character
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- * for any number of characters
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- Example: sec?rity cloud*
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6. Special Features:
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- All docs: *
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- Boost terms: term^2.0 (positive numbers only)
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- Example: security^2.0 cloud
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- the above will boost security by 2.0
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Query Examples:
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1. Basic: +砖讘转 +讞讜诇讛 +讗住讜专
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2. Field-specific: text:住讬谞讬 AND topics:转谞讱
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3. Phrase with slop: "security framework"~2
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4. Complex: +reference:讘专讗砖讬转 +text:"讛讘诇"^2.0 +(讚诪讬 OR 讚诪讬诐) -讛讘诇讬诐
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6. Mixed: (text:"专讘谞讜 诪砖讛"^2.0 OR reference:"诪砖谞讛 转讜专讛") AND topics:讛诇讻讛) AND text:"转讜专讛 讛诪诇讱"~3 AND NOT topics:诪讚专砖
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Tips:
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- Group complex expressions with parentheses
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- Use quotes for exact phrases
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- Add + for required terms, - for excluded terms
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- Boost important terms with ^N
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- use field-specific terms for better results.
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"""
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def search(self, query: str, num_results: int = 10) -> List[Dict[str, Any]]:
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"""Search the Tantivy index with the given query using Tantivy's query syntax"""
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try:
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# Create a searcher
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searcher = self.index.searcher()
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# Parse and execute the query
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try:
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# First try with lenient parsing
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query_parser = self.index.parse_query_lenient(query)
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search_results = searcher.search(query_parser[0], num_results).hits
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except Exception as query_error:
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self.logger.error(f"Lenient query parsing failed: {query_error}")
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# Process results
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results = []
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for score, doc_address in search_results:
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doc = searcher.doc(doc_address)
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text = doc.get_first("text")
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# Extract highlighted snippets based on query terms
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# Remove special syntax for highlighting while preserving Hebrew
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highlight_terms = re.sub(
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r'[:"()[\]{}^~*\\]|\b(AND|OR|NOT|TO|IN)\b|[-+]',
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' ',
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query
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).strip()
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highlight_terms = [term for term in highlight_terms.split() if len(term) > 1]
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# Create regex pattern for highlighting
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if highlight_terms:
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# Escape regex special chars but preserve Hebrew
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patterns = [re.escape(term) for term in highlight_terms]
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pattern = '|'.join(patterns)
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# Get surrounding context for matches
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matches = list(re.finditer(pattern, text, re.IGNORECASE))
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if matches:
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highlights = []
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for match in matches:
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start = max(0, match.start() - 50)
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end = min(len(text), match.end() + 50)
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highlight = text[start:end]
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if start > 0:
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highlight = f"...{highlight}"
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if end < len(text):
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highlight = f"{highlight}..."
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highlights.append(highlight)
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else:
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highlights = [text[:100] + "..." if len(text) > 100 else text]
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else:
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highlights = [text[:100] + "..." if len(text) > 100 else text]
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result = {
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| 136 |
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"score": float(score),
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| 137 |
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"title": doc.get_first("title") or os.path.basename(doc.get_first("filePath") or ""),
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| 138 |
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"reference": doc.get_first("reference"),
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| 139 |
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"topics": doc.get_first("topics"),
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| 140 |
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"file_path": doc.get_first("filePath"),
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| 141 |
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"line_number": doc.get_first("segment"),
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| 142 |
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"is_pdf": doc.get_first("isPdf"),
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| 143 |
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"text": text,
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| 144 |
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"highlights": highlights
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| 145 |
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}
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| 146 |
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results.append(result)
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| 147 |
+
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| 148 |
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self.logger.info(f"Found {len(results)} results for query: {query}")
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| 149 |
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return results
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| 150 |
+
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| 151 |
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except Exception as e:
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| 152 |
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self.logger.error(f"Error during search: {str(e)}")
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| 153 |
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return []
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| 154 |
+
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| 155 |
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def validate_index(self) -> bool:
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| 156 |
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"""Validate that the index exists and is accessible"""
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| 157 |
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try:
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# Try to create a searcher and perform a simple search
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| 159 |
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searcher = self.index.searcher()
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query_parser = self.index.parse_query("*")
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searcher.search(query_parser, 1)
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return True
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except Exception as e:
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self.logger.error(f"Index validation failed: {e}")
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return False
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