422 lines
16 KiB
Python
Executable File
422 lines
16 KiB
Python
Executable File
import glob
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import json
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import asyncio
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import logging
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import datetime
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import os
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from multiprocessing import Process, Manager
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from typing import Dict, Any, List, Optional
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from mp_api.client import MPRester
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from pymatgen.core import Structure
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from pymatgen.symmetry.analyzer import SpacegroupAnalyzer
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from pymatgen.io.cif import CifWriter
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from mars_toolkit.core.llm_tools import llm_tool
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from mars_toolkit.core.config import config
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from mars_toolkit.core.cif_utils import read_cif_txt_file, extract_cif_info, remove_symmetry_equiv_xyz
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logger = logging.getLogger(__name__)
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def parse_bool(param: str) -> bool | None:
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"""
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Parse a string parameter into a boolean value.
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Args:
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param: String parameter to parse (e.g., "true", "false")
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Returns:
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Boolean value if param is not empty, None otherwise
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"""
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if not param:
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return None
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return param.lower() == 'true'
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def parse_list(param: str) -> List[str] | None:
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"""
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Parse a comma-separated string into a list of strings.
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Args:
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param: Comma-separated string (e.g., "Li,Fe,O")
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Returns:
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List of strings if param is not empty, None otherwise
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"""
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if not param:
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return None
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return param.split(',')
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def parse_tuple(param: str) -> tuple[float, float] | None:
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"""
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Parse a comma-separated string into a tuple of two float values.
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Used for range parameters like band_gap, density, etc.
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Args:
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param: Comma-separated string of two numbers (e.g., "0,3.5")
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Returns:
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Tuple of two float values if param is valid, None otherwise
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"""
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if not param:
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return None
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try:
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values = param.split(',')
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return (float(values[0]), float(values[1]))
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except (ValueError, IndexError):
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return None
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def parse_search_parameters(query_params: Dict[str, str]) -> Dict[str, Any]:
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"""
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Parse search parameters from query parameters.
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Converts string query parameters into appropriate types for the Materials Project API.
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"""
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return {
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'band_gap': parse_tuple(query_params.get('band_gap')),
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'chemsys': parse_list(query_params.get('chemsys')),
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'crystal_system': parse_list(query_params.get('crystal_system')),
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'density': parse_tuple(query_params.get('density')),
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'formation_energy': parse_tuple(query_params.get('formation_energy')),
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'elements': parse_list(query_params.get('elements')),
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'exclude_elements': parse_list(query_params.get('exclude_elements')),
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'formula': parse_list(query_params.get('formula')),
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'is_gap_direct': parse_bool(query_params.get('is_gap_direct')),
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'is_metal': parse_bool(query_params.get('is_metal')),
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'is_stable': parse_bool(query_params.get('is_stable')),
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'magnetic_ordering': query_params.get('magnetic_ordering'),
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'material_ids': parse_list(query_params.get('material_ids')),
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'total_energy': parse_tuple(query_params.get('total_energy')),
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'num_elements': parse_tuple(query_params.get('num_elements')),
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'volume': parse_tuple(query_params.get('volume')),
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'chunk_size': int(query_params.get('chunk_size', '5'))
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}
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def process_search_results(docs: List[Dict[str, Any]]) -> List[Dict[str, Any]] | str:
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"""
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Process search results from the Materials Project API.
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Extracts relevant fields from each document and formats them into a consistent structure.
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Returns:
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List of processed documents or error message string if an exception occurs
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"""
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try:
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fields = [
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'formula_pretty', 'nsites', 'nelements', 'material_id', 'chemsys',
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'volume', 'density', 'density_atomic', 'cbm', 'vbm', 'band_gap',
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'is_gap_direct', 'is_stable', 'formation_energy_per_atom',
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'energy_above_hull', 'is_metal', 'total_magnetization', 'efermi',
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'is_magnetic', 'ordering', 'bulk_modulus', 'shear_modulus',
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'universal_anisotropy', 'theoretical'
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]
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res = []
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for doc in docs:
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try:
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new_docs = {}
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for field_name in fields:
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new_docs[field_name] = doc.get(field_name, '')
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res.append(new_docs)
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except Exception as e:
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logger.warning(f"Error processing document: {str(e)}")
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continue
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return res
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except Exception as e:
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error_msg = f"Error in process_search_results: {str(e)}"
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logger.error(error_msg)
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return error_msg
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def _search_worker(queue, api_key, **kwargs):
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"""
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Worker function for executing Materials Project API searches.
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Runs in a separate process to perform the actual API call and puts results in the queue.
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Args:
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queue: Multiprocessing queue for returning results
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api_key: Materials Project API key
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**kwargs: Search parameters to pass to the API
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"""
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try:
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import os
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import traceback
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os.environ['HTTP_PROXY'] = config.HTTP_PROXY or ''
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os.environ['HTTPS_PROXY'] = config.HTTPS_PROXY or ''
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# 初始化 MPRester 客户端
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with MPRester(api_key) as mpr:
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result = mpr.materials.summary.search(**kwargs)
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# 检查结果
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if result:
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# 尝试使用更安全的方式处理结果
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processed_results = []
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for doc in result:
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try:
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# 尝试使用 model_dump 方法
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processed_doc = doc.model_dump()
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processed_results.append(processed_doc)
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except AttributeError:
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# 如果没有 model_dump 方法，尝试使用 dict 方法
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try:
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processed_doc = doc.dict()
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processed_results.append(processed_doc)
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except AttributeError:
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# 如果没有 dict 方法，尝试直接转换为字典
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if hasattr(doc, "__dict__"):
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processed_doc = doc.__dict__
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# 移除可能导致序列化问题的特殊属性
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if "_sa_instance_state" in processed_doc:
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del processed_doc["_sa_instance_state"]
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processed_results.append(processed_doc)
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else:
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# 最后的尝试，直接使用 doc
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processed_results.append(doc)
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queue.put(processed_results)
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else:
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queue.put([])
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except Exception as e:
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queue.put(e)
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async def execute_search(search_args: Dict[str, Any], timeout: int = 120) -> List[Dict[str, Any]] | str:
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"""
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Execute a search against the Materials Project API.
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Runs the search in a separate process to handle potential timeouts and returns the results.
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Args:
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search_args: Dictionary of search parameters
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timeout: Maximum time in seconds to wait for the search to complete
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Returns:
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List of document dictionaries from the search results or error message string if an exception occurs
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"""
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# 确保 formula 参数是列表类型
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if 'formula' in search_args and isinstance(search_args['formula'], str):
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search_args['formula'] = [search_args['formula']]
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manager = Manager()
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queue = manager.Queue()
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try:
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p = Process(target=_search_worker, args=(queue, config.MP_API_KEY), kwargs=search_args)
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p.start()
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p.join(timeout=timeout)
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if p.is_alive():
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logger.warning(f"Terminating worker process {p.pid} due to timeout")
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p.terminate()
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p.join()
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error_msg = f"Request timed out after {timeout} seconds"
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return error_msg
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try:
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result = queue.get(timeout=timeout)
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if isinstance(result, Exception):
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logger.error(f"Error in search worker: {str(result)}")
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if hasattr(result, "__traceback__"):
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import traceback
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tb_str = ''.join(traceback.format_exception(None, result, result.__traceback__))
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return f"Error in search worker: {str(result)}"
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return result
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except queue.Empty:
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error_msg = "Failed to retrieve data from queue (timeout)"
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logger.error(error_msg)
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return error_msg
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except Exception as e:
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error_msg = f"Error in execute_search: {str(e)}"
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logger.error(error_msg)
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return error_msg
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@llm_tool(name="search_material_property_from_material_project", description="Search materials in Materials Project database by formula and properties")
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async def search_material_property_from_material_project(
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formula: str | list[str],
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chemsys: Optional[str | list[str] | None] = None,
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crystal_system: Optional[str | list[str] | None] = None,
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is_gap_direct: Optional[bool | None] = None,
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is_stable: Optional[bool | None] = None,
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) -> str:
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"""
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Search materials in Materials Project database.
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Args:
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formula: Chemical formula(s) (e.g., "Fe2O3" or ["ABO3", "Si*"])
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chemsys: Chemical system(s) (e.g., "Li-Fe-O")
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crystal_system: Crystal system(s) (e.g., "Cubic")
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is_gap_direct: Filter for direct band gap materials
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is_stable: Filter for thermodynamically stable materials
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Returns:
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JSON formatted material properties data
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"""
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# 验证晶系参数
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VALID_CRYSTAL_SYSTEMS = ['Triclinic', 'Monoclinic', 'Orthorhombic', 'Tetragonal', 'Trigonal', 'Hexagonal', 'Cubic']
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# 验证晶系参数是否有效
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if crystal_system is not None:
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if isinstance(crystal_system, str):
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if crystal_system not in VALID_CRYSTAL_SYSTEMS:
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return "Input should be 'Triclinic', 'Monoclinic', 'Orthorhombic', 'Tetragonal', 'Trigonal', 'Hexagonal' or 'Cubic'"
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elif isinstance(crystal_system, list):
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for cs in crystal_system:
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if cs not in VALID_CRYSTAL_SYSTEMS:
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return "Input should be 'Triclinic', 'Monoclinic', 'Orthorhombic', 'Tetragonal', 'Trigonal', 'Hexagonal' or 'Cubic'"
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# 确保 formula 是列表类型
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if isinstance(formula, str):
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formula = [formula]
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params = {
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"chemsys": chemsys,
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"crystal_system": crystal_system,
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"formula": formula,
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"is_gap_direct": is_gap_direct,
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"is_stable": is_stable,
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"chunk_size": 5,
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}
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# Filter out None values
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params = {k: v for k, v in params.items() if v is not None}
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mp_id_list = await get_mpid_from_formula(formula=formula)
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try:
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res=[]
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for mp_id in mp_id_list:
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crystal_props = extract_cif_info(config.LOCAL_MP_ROOT+f"/Props/{mp_id}.json", ['all_fields'])
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res.append(crystal_props)
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if len(res) == 0:
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return "No results found, please try again."
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# Format response with top results
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try:
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# 创建包含索引的JSON结果
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formatted_results = []
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for i, item in enumerate(res[:config.MP_TOPK], 1):
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formatted_result = f"[property {i} begin]\n"
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formatted_result += json.dumps(item, indent=2)
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formatted_result += f"\n[property {i} end]\n\n"
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formatted_results.append(formatted_result)
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# 将所有结果合并为一个字符串
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res_chunk = "\n\n".join(formatted_results)
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res_template = f"""
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Here are the search results from the Materials Project database:
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Due to length limitations, only the top {config.MP_TOPK} results are shown below:\n
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{res_chunk}
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If you need more results, please modify your search criteria or try different query parameters.
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"""
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return res_template
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except Exception as format_error:
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logger.error(f"Error formatting results: {str(format_error)}")
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return str(format_error)
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except Exception as e:
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logger.error(f"Error in search_material_property_from_material_project: {str(e)}")
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return str(e)
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@llm_tool(name="get_crystal_structures_from_materials_project", description="Get symmetrized crystal structures CIF data from Materials Project database by chemical formula")
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async def get_crystal_structures_from_materials_project(
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formulas: list[str],
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conventional_unit_cell: bool = True,
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symprec: float = 0.1
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) -> str:
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"""
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Get crystal structures from Materials Project database by chemical formula and apply symmetrization.
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Args:
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formulas: List of chemical formulas (e.g., ["Fe2O3", "SiO2", "TiO2"])
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conventional_unit_cell: Whether to return conventional unit cell (True) or primitive cell (False)
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symprec: Precision parameter for symmetrization
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Returns:
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Formatted text containing symmetrized CIF data
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"""
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result={}
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mp_id_list=await get_mpid_from_formula(formula=formulas)
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for i,mp_id in enumerate(mp_id_list):
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cif_file = glob.glob(config.LOCAL_MP_ROOT+f"/MPDatasets/{mp_id}.cif")[0]
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structure = Structure.from_file(cif_file)
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# 如果需要常规单元格
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if conventional_unit_cell:
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structure = SpacegroupAnalyzer(structure).get_conventional_standard_structure()
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# 对结构进行对称化处理
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sga = SpacegroupAnalyzer(structure, symprec=symprec)
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symmetrized_structure = sga.get_refined_structure()
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# 使用CifWriter生成CIF数据
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cif_writer = CifWriter(symmetrized_structure, symprec=symprec, refine_struct=True)
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cif_data = str(cif_writer)
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# 删除CIF文件中的对称性操作部分
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cif_data = remove_symmetry_equiv_xyz(cif_data)
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cif_data=cif_data.replace('# generated using pymatgen',"")
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# 生成一个唯一的键
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formula = structure.composition.reduced_formula
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key = f"{formula}_{i}"
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result[key] = cif_data
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# 只保留前config.MP_TOPK个结果
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if len(result) >= config.MP_TOPK:
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break
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try:
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prompt = f"""
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# Materials Project Symmetrized Crystal Structure Data
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Below are symmetrized crystal structure data for {len(result)} materials from the Materials Project database, in CIF (Crystallographic Information File) format.
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These structures have been analyzed and optimized for symmetry using SpacegroupAnalyzer with precision parameter symprec={symprec}.\n
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"""
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for i, (key, cif_data) in enumerate(result.items(), 1):
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prompt += f"[cif {i} begin]\n"
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prompt += cif_data
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prompt += f"\n[cif {i} end]\n\n"
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prompt += """
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## Usage Instructions
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1. You can copy the above CIF data and save it as .cif files
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2. Open these files with crystal structure visualization software (such as VESTA, Mercury, Avogadro, etc.)
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3. These structures can be used for further material analysis, simulation, or visualization
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CIF files contain complete structural information of crystals, including cell parameters, atomic coordinates, symmetry, etc.
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Symmetrization helps identify and optimize crystal symmetry, making the structure more standardized and accurate.
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"""
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return prompt
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except Exception as format_error:
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logger.error(f"Error formatting crystal structures: {str(format_error)}")
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return str(format_error)
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@llm_tool(name="get_mpid_from_formula", description="Get material IDs (mpid) from Materials Project database by chemical formula")
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async def get_mpid_from_formula(formula: str) -> List[str]:
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"""
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Get material IDs (mpid) from Materials Project database by chemical formula.
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Returns mpids for the lowest energy structures.
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Args:
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formula: Chemical formula (e.g., "Fe2O3")
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Returns:
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List of material IDs
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"""
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os.environ['HTTP_PROXY'] = config.HTTP_PROXY or ''
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os.environ['HTTPS_PROXY'] = config.HTTPS_PROXY or ''
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id_list = []
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try:
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with MPRester(config.MP_API_KEY) as mpr:
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docs = mpr.materials.summary.search(formula=formula)
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for doc in docs:
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id_list.append(doc.material_id)
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return id_list
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except Exception as e:
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logger.error(f"Error getting mpid from formula: {str(e)}")
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return []
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