Source code for qcportal.neb.dataset_models

from typing import Dict, Any, Union, Optional, List, Iterable

try:
    from pydantic.v1 import BaseModel, Extra
except ImportError:
    from pydantic import BaseModel, Extra
from typing_extensions import Literal

from qcportal.dataset_models import BaseDataset
from qcportal.metadata_models import InsertMetadata
from qcportal.molecules import Molecule
from qcportal.neb.record_models import (
    NEBRecord,
    NEBSpecification,
)


[docs] class NEBDatasetNewEntry(BaseModel): class Config: extra = Extra.forbid name: str initial_chain: List[Union[int, Molecule]] additional_keywords: Dict[str, Any] = {} additional_singlepoint_keywords: Dict[str, Any] = {} attributes: Dict[str, Any] = {} comment: Optional[str] = None
[docs] class NEBDatasetEntry(NEBDatasetNewEntry): initial_chain: List[Molecule]
# NEB dataset specification
[docs] class NEBDatasetSpecification(BaseModel): class Config: extra = Extra.forbid name: str specification: NEBSpecification description: Optional[str] = None
[docs] class NEBDatasetRecordItem(BaseModel): class Config: extra = Extra.forbid entry_name: str specification_name: str record_id: int record: Optional[NEBRecord]
[docs] class NEBDataset(BaseDataset): dataset_type: Literal["neb"] = "neb" # Needed by the base class _entry_type = NEBDatasetEntry _new_entry_type = NEBDatasetNewEntry _specification_type = NEBDatasetSpecification _record_item_type = NEBDatasetRecordItem _record_type = NEBRecord
[docs] def add_specification( self, name: str, specification: NEBSpecification, description: Optional[str] = None ) -> InsertMetadata: spec = NEBDatasetSpecification(name=name, specification=specification, description=description) return self._add_specifications(spec)
[docs] def add_entries(self, entries: Union[NEBDatasetNewEntry, Iterable[NEBDatasetNewEntry]]) -> InsertMetadata: return self._add_entries(entries)
[docs] def add_entry( self, name: str, initial_chain: List[Union[Molecule, int]], additional_keywords: Optional[Dict[str, Any]] = None, additional_singlepoint_keywords: Optional[Dict[str, Any]] = None, attributes: Optional[Dict[str, Any]] = None, comment: Optional[str] = None, ): if additional_keywords is None: additional_keywords = {} if additional_singlepoint_keywords is None: additional_singlepoint_keywords = {} if attributes is None: attributes = {} ent = NEBDatasetNewEntry( name=name, initial_chain=initial_chain, additional_keywords=additional_keywords, additional_singlepoint_keywords=additional_singlepoint_keywords, attributes=attributes, comment=comment, ) return self.add_entries(ent)