File size: 1,850 Bytes
1d48b2a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 | from pydantic import BaseModel, ConfigDict
from typing import List, Optional, Union
from datetime import datetime
class TenderItem(BaseModel):
correlative: Optional[int] = None
product_code: Optional[str] = None
category: Optional[str] = None
name: str
description: Optional[str] = None
quantity: float
unit: str
class TenderAttachment(BaseModel):
name: str
url: str
category: Optional[str] = None # Administrativo, Técnico, Económico, etc.
file_type: Optional[str] = None # PDF, DOC, XLS, etc.
class TenderDetailTab(BaseModel):
"""Detail tab information (Preguntas, Historial, Apertura, Adjudicación, etc.)"""
tab_name: str
tab_type: str # questions, history, opening, adjudication
content_summary: Optional[str] = None
metadata: Optional[dict] = None
attachment_urls: Optional[List[str]] = None
class Tender(BaseModel):
model_config = ConfigDict(from_attributes=True)
code: str
name: str
description: str
buyer: str
buyer_region: Optional[str] = None
status: str
status_code: Optional[int] = None
type: Optional[str] = None # L1, LE, LP, etc.
currency: Optional[str] = None # CLP, USD, etc.
closing_date: Union[str, datetime, None] = None
publication_date: Union[str, datetime, None] = None
estimated_amount: Optional[float] = None
source: str = "Mercado Público"
region: Optional[str] = None
sector: Optional[str] = None
items: List[TenderItem] = []
attachments: List[TenderAttachment] = []
evaluation_criteria: List[dict] = []
contract_duration: Optional[str] = None
detail_tabs: List[TenderDetailTab] = [] # Detail tab information
detail_metadata: Optional[dict] = None # Aggregated detail metadata
raw_data: Optional[dict] = None # Store the full response if needed
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