Source code for tooluniverse.metabolomics_workbench_tool

# metabolomics_workbench_tool.py
"""
Metabolomics Workbench API tool for ToolUniverse.

Metabolomics Workbench is a comprehensive data repository for metabolomics
data, providing access to metabolite structures, study metadata, and
experimental results.

API Documentation: https://www.metabolomicsworkbench.org/tools/mw_rest.php
"""

import requests
from typing import Dict, Any
from .base_tool import BaseTool
from .tool_registry import register_tool

# Base URL for Metabolomics Workbench REST API
MWBENCH_BASE_URL = "https://www.metabolomicsworkbench.org/rest"


[docs] @register_tool("MetabolomicsWorkbenchTool") class MetabolomicsWorkbenchTool(BaseTool): """ Tool for querying Metabolomics Workbench REST API. Metabolomics Workbench provides metabolomics data including: - Study metadata and experimental results - Compound/metabolite information and structures - RefMet standardized nomenclature - Mass spectrometry data searches No authentication required. Free for academic/research use. """
[docs] def __init__(self, tool_config: Dict[str, Any]): super().__init__(tool_config) self.timeout = tool_config.get("timeout", 30) # Get the context type from config (study, compound, refmet, gene, protein, moverz, exactmass) self.context = tool_config.get("fields", {}).get("context", "compound") self.output_format = tool_config.get("fields", {}).get("output_format", "json")
[docs] def run(self, arguments: Dict[str, Any]) -> Dict[str, Any]: """Execute the Metabolomics Workbench API call.""" context = self.context try: if context == "study": return self._query_study(arguments) elif context == "compound": return self._query_compound(arguments) elif context == "refmet": return self._query_refmet(arguments) elif context == "moverz": return self._search_moverz(arguments) elif context == "exactmass": return self._search_exactmass(arguments) else: return {"error": f"Unknown context: {context}"} except Exception as e: raise self.handle_error(e)
[docs] def _make_request(self, sub_path: str) -> Dict[str, Any]: """Central method to handle API requests and response validation.""" # Ensure /json is appended to the URL if not sub_path.endswith("/json"): url = f"{MWBENCH_BASE_URL}/{sub_path.strip('/')}/json" else: url = f"{MWBENCH_BASE_URL}/{sub_path.strip('/')}" try: response = requests.get(url, timeout=self.timeout) response.raise_for_status() # The API sometimes returns "null" as a string or an empty string with 200 OK raw_text = response.text.strip() if not raw_text or raw_text.lower() == "null" or raw_text == '""': return {"status": "success", "data": [], "message": "No results found"} try: data = response.json() # Check for API-level error status if isinstance(data, dict) and data.get("status") == "error": return { "error": data.get("message", "API returned an error status") } return data except ValueError: # Return as text if not JSON (though we requested JSON) return {"data": response.text} except requests.RequestException as e: raise self.handle_error(e)
[docs] def _query_study(self, arguments: Dict[str, Any]) -> Dict[str, Any]: """Query study metadata.""" study_id = arguments.get("study_id", "") output_item = arguments.get("output_item", "summary") if not study_id: return {"error": "study_id parameter is required"} return self._make_request(f"study/study_id/{study_id}/{output_item}")
[docs] def _query_compound(self, arguments: Dict[str, Any]) -> Dict[str, Any]: """Query compound information.""" input_item = self.tool_config.get("fields", {}).get("input_item", "formula") input_value = arguments.get("input_value", "") output_item = arguments.get("output_item", "all") if not input_value: return {"error": "input_value parameter is required"} return self._make_request(f"compound/{input_item}/{input_value}/{output_item}")
[docs] def _query_refmet(self, arguments: Dict[str, Any]) -> Dict[str, Any]: """Query RefMet nomenclature.""" input_item = arguments.get("input_item", "name") input_value = arguments.get("input_value", "") output_item = arguments.get("output_item", "all") if not input_value: return {"error": "input_value parameter is required"} return self._make_request(f"refmet/{input_item}/{input_value}/{output_item}")
[docs] def _search_moverz(self, arguments: Dict[str, Any]) -> Dict[str, Any]: """Search by m/z value.""" mz_value = arguments.get("mz_value") adduct = arguments.get("adduct", "M+H") tolerance = arguments.get("tolerance", 0.1) output_item = arguments.get("output_item", "all") if mz_value is None: return {"error": "mz_value parameter is required"} return self._make_request( f"moverz/{mz_value}/{adduct}/{tolerance}/{output_item}" )
[docs] def _search_exactmass(self, arguments: Dict[str, Any]) -> Dict[str, Any]: """Search by exact mass.""" mass_value = arguments.get("mass_value") tolerance = arguments.get("tolerance", 0.1) output_item = arguments.get("output_item", "all") if mass_value is None: return {"error": "mass_value parameter is required"} return self._make_request(f"exactmass/{mass_value}/{tolerance}/{output_item}")