from __future__ import annotations
import datetime
from collections.abc import Mapping
from typing import (
TYPE_CHECKING,
Any,
TypeVar,
cast,
)
from attrs import define as _attrs_define
from attrs import field as _attrs_field
from dateutil.parser import isoparse
from ..models.genome_catalogue_detail_catalogue_type import (
GenomeCatalogueDetailCatalogueType,
)
from ..types import (
UNSET,
Unset,
)
if TYPE_CHECKING:
from ..models.biome import Biome
from ..models.genome_catalogue_detail_other_stats_type_0 import (
GenomeCatalogueDetailOtherStatsType0,
)
T = TypeVar("T", bound="GenomeCatalogueDetail")
[docs]
@_attrs_define
class GenomeCatalogueDetail:
"""
Attributes:
catalogue_id (str):
version (str):
name (str):
description (None | str):
protein_catalogue_description (None | str):
updated_at (datetime.datetime):
result_directory (None | str):
unclustered_genome_count (int | None): Total number of genomes in the catalogue, including non-cluster-
representatives not available via this API.
ftp_url (str):
pipeline_version_tag (str):
catalogue_biome_label (str):
catalogue_type (GenomeCatalogueDetailCatalogueType):
other_stats (GenomeCatalogueDetailOtherStatsType0 | None):
protein_catalogue_name (None | str | Unset):
genome_count (int | None | Unset):
biome (Biome | None | Unset):
"""
catalogue_id: str
version: str
name: str
description: None | str
protein_catalogue_description: None | str
updated_at: datetime.datetime
result_directory: None | str
unclustered_genome_count: int | None
ftp_url: str
pipeline_version_tag: str
catalogue_biome_label: str
catalogue_type: GenomeCatalogueDetailCatalogueType
other_stats: GenomeCatalogueDetailOtherStatsType0 | None
protein_catalogue_name: None | str | Unset = UNSET
genome_count: int | None | Unset = UNSET
biome: Biome | None | Unset = UNSET
additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict)
[docs]
def to_dict(self) -> dict[str, Any]:
from ..models.biome import Biome
from ..models.genome_catalogue_detail_other_stats_type_0 import (
GenomeCatalogueDetailOtherStatsType0,
)
catalogue_id = self.catalogue_id
version = self.version
name = self.name
description: None | str
description = self.description
protein_catalogue_description: None | str
protein_catalogue_description = self.protein_catalogue_description
updated_at = self.updated_at.isoformat()
result_directory: None | str
result_directory = self.result_directory
unclustered_genome_count: int | None
unclustered_genome_count = self.unclustered_genome_count
ftp_url = self.ftp_url
pipeline_version_tag = self.pipeline_version_tag
catalogue_biome_label = self.catalogue_biome_label
catalogue_type = self.catalogue_type.value
other_stats: dict[str, Any] | None
if isinstance(self.other_stats, GenomeCatalogueDetailOtherStatsType0):
other_stats = self.other_stats.to_dict()
else:
other_stats = self.other_stats
protein_catalogue_name: None | str | Unset
if isinstance(self.protein_catalogue_name, Unset):
protein_catalogue_name = UNSET
else:
protein_catalogue_name = self.protein_catalogue_name
genome_count: int | None | Unset
if isinstance(self.genome_count, Unset):
genome_count = UNSET
else:
genome_count = self.genome_count
biome: dict[str, Any] | None | Unset
if isinstance(self.biome, Unset):
biome = UNSET
elif isinstance(self.biome, Biome):
biome = self.biome.to_dict()
else:
biome = self.biome
field_dict: dict[str, Any] = {}
field_dict.update(self.additional_properties)
field_dict.update(
{
"catalogue_id": catalogue_id,
"version": version,
"name": name,
"description": description,
"protein_catalogue_description": protein_catalogue_description,
"updated_at": updated_at,
"result_directory": result_directory,
"unclustered_genome_count": unclustered_genome_count,
"ftp_url": ftp_url,
"pipeline_version_tag": pipeline_version_tag,
"catalogue_biome_label": catalogue_biome_label,
"catalogue_type": catalogue_type,
"other_stats": other_stats,
}
)
if protein_catalogue_name is not UNSET:
field_dict["protein_catalogue_name"] = protein_catalogue_name
if genome_count is not UNSET:
field_dict["genome_count"] = genome_count
if biome is not UNSET:
field_dict["biome"] = biome
return field_dict
[docs]
@classmethod
def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T:
from ..models.biome import Biome
from ..models.genome_catalogue_detail_other_stats_type_0 import (
GenomeCatalogueDetailOtherStatsType0,
)
d = dict(src_dict)
catalogue_id = d.pop("catalogue_id")
version = d.pop("version")
name = d.pop("name")
def _parse_description(data: object) -> None | str:
if data is None:
return data
return cast(None | str, data)
description = _parse_description(d.pop("description"))
def _parse_protein_catalogue_description(data: object) -> None | str:
if data is None:
return data
return cast(None | str, data)
protein_catalogue_description = _parse_protein_catalogue_description(
d.pop("protein_catalogue_description")
)
updated_at = isoparse(d.pop("updated_at"))
def _parse_result_directory(data: object) -> None | str:
if data is None:
return data
return cast(None | str, data)
result_directory = _parse_result_directory(d.pop("result_directory"))
def _parse_unclustered_genome_count(data: object) -> int | None:
if data is None:
return data
return cast(int | None, data)
unclustered_genome_count = _parse_unclustered_genome_count(
d.pop("unclustered_genome_count")
)
ftp_url = d.pop("ftp_url")
pipeline_version_tag = d.pop("pipeline_version_tag")
catalogue_biome_label = d.pop("catalogue_biome_label")
catalogue_type = GenomeCatalogueDetailCatalogueType(d.pop("catalogue_type"))
def _parse_other_stats(
data: object,
) -> GenomeCatalogueDetailOtherStatsType0 | None:
if data is None:
return data
try:
if not isinstance(data, dict):
raise TypeError()
other_stats_type_0 = GenomeCatalogueDetailOtherStatsType0.from_dict(
data
)
return other_stats_type_0
except (TypeError, ValueError, AttributeError, KeyError):
pass
return cast(GenomeCatalogueDetailOtherStatsType0 | None, data)
other_stats = _parse_other_stats(d.pop("other_stats"))
def _parse_protein_catalogue_name(data: object) -> None | str | Unset:
if data is None:
return data
if isinstance(data, Unset):
return data
return cast(None | str | Unset, data)
protein_catalogue_name = _parse_protein_catalogue_name(
d.pop("protein_catalogue_name", UNSET)
)
def _parse_genome_count(data: object) -> int | None | Unset:
if data is None:
return data
if isinstance(data, Unset):
return data
return cast(int | None | Unset, data)
genome_count = _parse_genome_count(d.pop("genome_count", UNSET))
def _parse_biome(data: object) -> Biome | None | Unset:
if data is None:
return data
if isinstance(data, Unset):
return data
try:
if not isinstance(data, dict):
raise TypeError()
biome_type_0 = Biome.from_dict(data)
return biome_type_0
except (TypeError, ValueError, AttributeError, KeyError):
pass
return cast(Biome | None | Unset, data)
biome = _parse_biome(d.pop("biome", UNSET))
genome_catalogue_detail = cls(
catalogue_id=catalogue_id,
version=version,
name=name,
description=description,
protein_catalogue_description=protein_catalogue_description,
updated_at=updated_at,
result_directory=result_directory,
unclustered_genome_count=unclustered_genome_count,
ftp_url=ftp_url,
pipeline_version_tag=pipeline_version_tag,
catalogue_biome_label=catalogue_biome_label,
catalogue_type=catalogue_type,
other_stats=other_stats,
protein_catalogue_name=protein_catalogue_name,
genome_count=genome_count,
biome=biome,
)
genome_catalogue_detail.additional_properties = d
return genome_catalogue_detail
@property
def additional_keys(self) -> list[str]:
return list(self.additional_properties.keys())
def __getitem__(self, key: str) -> Any:
return self.additional_properties[key]
def __setitem__(self, key: str, value: Any) -> None:
self.additional_properties[key] = value
def __delitem__(self, key: str) -> None:
del self.additional_properties[key]
def __contains__(self, key: str) -> bool:
return key in self.additional_properties
