Source code for qcportal.torsiondrive.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.torsiondrive.record_models import TorsiondriveRecord, TorsiondriveSpecification
[docs]
class TorsiondriveDatasetNewEntry(BaseModel):
class Config:
extra = Extra.forbid
name: str
initial_molecules: List[Union[Molecule, int]]
additional_keywords: Dict[str, Any] = {}
additional_optimization_keywords: Dict[str, Any] = {}
attributes: Dict[str, Any] = {}
comment: Optional[str] = None
[docs]
class TorsiondriveDatasetEntry(TorsiondriveDatasetNewEntry):
initial_molecules: List[Molecule]
# Torsiondrive dataset specifications are just optimization specifications
# The torsiondrive keywords are stored in the entries ^^
[docs]
class TorsiondriveDatasetSpecification(BaseModel):
class Config:
extra = Extra.forbid
name: str
specification: TorsiondriveSpecification
description: Optional[str] = None
[docs]
class TorsiondriveDatasetRecordItem(BaseModel):
class Config:
extra = Extra.forbid
entry_name: str
specification_name: str
record_id: int
record: Optional[TorsiondriveRecord]
[docs]
class TorsiondriveDataset(BaseDataset):
dataset_type: Literal["torsiondrive"] = "torsiondrive"
# Needed by the base class
_entry_type = TorsiondriveDatasetEntry
_new_entry_type = TorsiondriveDatasetNewEntry
_specification_type = TorsiondriveDatasetSpecification
_record_item_type = TorsiondriveDatasetRecordItem
_record_type = TorsiondriveRecord
[docs]
def add_specification(
self, name: str, specification: TorsiondriveSpecification, description: Optional[str] = None
) -> InsertMetadata:
spec = TorsiondriveDatasetSpecification(name=name, specification=specification, description=description)
return self._add_specifications(spec)
[docs]
def add_entries(
self, entries: Union[TorsiondriveDatasetNewEntry, Iterable[TorsiondriveDatasetNewEntry]]
) -> InsertMetadata:
return self._add_entries(entries)
[docs]
def add_entry(
self,
name: str,
initial_molecules: List[Union[Molecule, int]],
additional_keywords: Optional[Dict[str, Any]] = None,
additional_optimization_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_optimization_keywords is None:
additional_optimization_keywords = {}
if attributes is None:
attributes = {}
ent = TorsiondriveDatasetNewEntry(
name=name,
initial_molecules=initial_molecules,
additional_keywords=additional_keywords,
additional_optimization_keywords=additional_optimization_keywords,
attributes=attributes,
comment=comment,
)
return self.add_entries(ent)