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)