File size: 5,753 Bytes
d7fb055 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 |
# Citation tool for finding and formatting scientific citations
from typing import Dict, Any, List, Optional
from .base_tool import BaseTool
class CitationTool(BaseTool):
"""Tool for finding and formatting scientific citations.
This tool helps agents find appropriate citations for claims and format them
according to standard scientific citation styles.
"""
def __init__(self):
"""Initialize the citation tool."""
super().__init__(
name="citation",
description="Find and format scientific citations"
)
def execute(
self,
query: str,
citation_style: str = "apa",
max_results: int = 5,
min_year: Optional[int] = None
) -> List[Dict[str, Any]]:
"""Find and format citations for a given query.
Args:
query: The search query for finding relevant citations
citation_style: Citation style to use (apa, mla, chicago, etc.)
max_results: Maximum number of citation results to return
min_year: Optional minimum publication year to filter results
Returns:
A list of formatted citations and their metadata
"""
self.logger.info(f"Finding citations for: {query} (style: {citation_style}, max: {max_results})")
# TODO: Implement actual citation functionality
# This would connect to citation databases, APIs, or search engines
# Mock implementation for now
current_year = 2023
start_year = min_year or (current_year - 10)
mock_citations = [
{
"authors": ["Smith, J.", "Johnson, K."],
"year": start_year + i,
"title": f"Research on {query}: A Comprehensive Analysis",
"journal": "Journal of Scientific Research",
"volume": "42",
"issue": "3",
"pages": f"{100 + i*10}-{110 + i*10}",
"doi": f"10.1234/jsr.{2023}.{1000 + i}",
"relevance_score": 0.95 - (i * 0.1),
"formatted_citation": f"Smith, J., & Johnson, K. ({start_year + i}). Research on {query}: A Comprehensive Analysis. Journal of Scientific Research, 42(3), {100 + i*10}-{110 + i*10}. https://doi.org/10.1234/jsr.{2023}.{1000 + i}"
}
for i in range(min(max_results, 10))
]
return mock_citations
def format_citation(self, citation_data: Dict[str, Any], style: str) -> str:
"""Format citation data according to a specific style.
Args:
citation_data: Dictionary with citation data
style: Citation style to use
Returns:
Formatted citation string
"""
# TODO: Implement proper citation formatting for different styles
# This would handle various citation styles properly
# Simple mock implementation for common styles
if style.lower() == "apa":
# Basic APA style
authors = ", ".join(citation_data.get("authors", []))
year = citation_data.get("year", "n.d.")
title = citation_data.get("title", "")
journal = citation_data.get("journal", "")
volume = citation_data.get("volume", "")
issue = citation_data.get("issue", "")
pages = citation_data.get("pages", "")
doi = citation_data.get("doi", "")
return f"{authors} ({year}). {title}. {journal}, {volume}({issue}), {pages}. https://doi.org/{doi}"
elif style.lower() == "mla":
# Basic MLA style
authors = ", ".join(citation_data.get("authors", []))
title = citation_data.get("title", "")
journal = citation_data.get("journal", "")
volume = citation_data.get("volume", "")
issue = citation_data.get("issue", "")
year = citation_data.get("year", "n.d.")
pages = citation_data.get("pages", "")
return f"{authors}. \"{title}.\" {journal}, vol. {volume}, no. {issue}, {year}, pp. {pages}."
else:
# Default to a simple format
authors = ", ".join(citation_data.get("authors", []))
year = citation_data.get("year", "n.d.")
title = citation_data.get("title", "")
journal = citation_data.get("journal", "")
return f"{authors} ({year}). {title}. {journal}."
def get_parameters_schema(self) -> Dict[str, Any]:
"""Get the JSON schema for the tool's parameters.
Returns:
A dictionary containing the JSON schema
"""
return {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The search query for finding relevant citations"
},
"citation_style": {
"type": "string",
"description": "Citation style to use",
"enum": ["apa", "mla", "chicago", "harvard", "ieee"],
"default": "apa"
},
"max_results": {
"type": "integer",
"description": "Maximum number of citation results to return",
"default": 5
},
"min_year": {
"type": "integer",
"description": "Optional minimum publication year to filter results"
}
},
"required": ["query"]
}
|