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VTdevelops/bond-text-extraction

sourceHugging Faceupdated 5mo agoView on Hugging Face
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models.py54 linesDownload Raw Back to text_extraction
1from __future__ import annotations2 3from dataclasses import dataclass, fields4 5 6@dataclass7class BondRecord:8    """Structured information about a single bond."""9 10    # General information11    status: str = ""12    effective_from: str = ""13 14    # Identification15    isin: str = ""16    valor: str = ""17 18    # Product details19    denomination: str = ""20    issue_size: str = ""21    legal_venue: str = ""22    security_ranking: str = ""23    issue_price_rate: str = ""24    jurisdiction_country: str = ""25    security_category: str = ""26    collateralization: str = ""27 28    # Terms29    callable_putable: str = ""30    prolongable: str = ""31    amortizable: str = ""32    increasable: str = ""33 34    # Product dates35    issue_date: str = ""36    payment_date: str = ""37    redemption_date: str = ""38 39    # Coupon payment40    coupon_frequency: str = ""41    annual_rate: str = ""42    income_begin: str = ""43    first_payment_date: str = ""44    day_count_method: str = ""45    earning_specification: str = ""46 47    # Legacy summary fields48    interest_rate: str = ""49    rating: str = ""50 51    def as_dict(self) -> dict[str, str]:52        """Return a JSON-serialisable representation."""53        return {field_.name: getattr(self, field_.name) for field_ in fields(self)}54