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from __future__ import annotations
import copy
import logging
from abc import ABC, abstractmethod
from collections import ChainMap
from dataclasses import dataclass, field
from typing import Any, Generic, TypeVar
import sec_certs.utils.extract
from sec_certs.cert_rules import PANDAS_KEYWORDS_CATEGORIES
from sec_certs.serialization.json import ComplexSerializableType
logger = logging.getLogger(__name__)
T = TypeVar("T", bound="Certificate")
H = TypeVar("H", bound="Heuristics")
P = TypeVar("P", bound="PdfData")
@dataclass
class References(ComplexSerializableType):
directly_referenced_by: set[str] | None = field(default=None)
indirectly_referenced_by: set[str] | None = field(default=None)
directly_referencing: set[str] | None = field(default=None)
indirectly_referencing: set[str] | None = field(default=None)
def __bool__(self):
return any(getattr(self, x) for x in vars(self))
class Heuristics:
pass
class PdfData:
def get_keywords_df_data(self, var: str) -> dict[str, float]:
data_dct = getattr(self, var)
return dict(
ChainMap(
*[
sec_certs.utils.extract.get_sums_for_rules_subset(data_dct, cat)
for cat in PANDAS_KEYWORDS_CATEGORIES
]
)
)
class Certificate(Generic[T, H, P], ABC, ComplexSerializableType):
manufacturer: str | None
name: str | None
pdf_data: P
heuristics: H
def __init__(self, *args, **kwargs):
pass
def __repr__(self) -> str:
return str(self.to_dict())
def __str__(self) -> str:
return "Not implemented"
@property
@abstractmethod
def dgst(self) -> str:
raise NotImplementedError("Not meant to be implemented")
@property
@abstractmethod
def label_studio_title(self):
raise NotImplementedError("Not meant to be implemented")
def __eq__(self, other: object) -> bool:
if not isinstance(other, Certificate):
return False
return self.dgst == other.dgst
def to_dict(self) -> dict[str, Any]:
return {
**{"dgst": self.dgst},
**{key: val for key, val in copy.deepcopy(self.__dict__).items() if key in self.serialized_attributes},
}
@classmethod
def from_dict(cls: type[T], dct: dict) -> T:
dct.pop("dgst")
return cls(**dct)
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