InternBootcamp/internbootcamp/bootcamp/ChemStructure2Property/SMILES2logPBootCamp.py
2025-06-16 15:15:01 +08:00

41 lines
1.6 KiB
Python
Executable file

from internbootcamp.bootcamp.base import Basebootcamp
from internbootcamp.libs.chemStructure2Property.ChemStructureGenerator import SMILESGenerator
from .utils import last_boxed_only_string, remove_boxed
from rdkit import Chem
from rdkit.Chem import Crippen
from .InChI2logPBootCamp import InChI2logPbootcamp
class SMILES2logPBootCamp(InChI2logPbootcamp):
def __init__(self,min_len=5, max_len=25,
seed=None):
# super.__init__()
self.SMILESGenerator = SMILESGenerator(min_len=min_len, max_len=max_len, seed=seed)
def case_generator(self) -> str:
"""
生成一组数字和目标值。
"""
return self.SMILESGenerator.generate_n_valid_smiles(1)[0]
def prompt_func(self, SMILES) -> str:
instruction = f"Given the SMILES, determine the lipophilicity (logP) value of the material. The SMILES is: {SMILES}"
instruction_following = """Let's think step by step and output the final answer within \\boxed{}.The final answer should be one float number. For example "Final Answer: \\boxed{afloat}"."""
prompt = instruction + '\n' + instruction_following
return prompt
@classmethod
def _verify_correction(cls, solution, SMILES)->bool:
"""
Verify the correction of the solution.
"""
mol = Chem.MolFromSmiles(SMILES)
true_logp = Crippen.MolLogP(mol)
solution_float = float(solution)
if true_logp == 0:
return abs(solution_float) <= 0.01 # Just check if solution is close to 0
else:
return abs(true_logp - solution_float)/abs(true_logp) <= 0.01