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5.75 kB
| # 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"] | |
| } | |