DeepCritical / src /utils /models.py
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feat(phase2): implement search slice (PubMed, Web, Orchestrator) (#4)
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"""Data models for the Search feature."""
from typing import ClassVar, Literal
from pydantic import BaseModel, Field
class Citation(BaseModel):
"""A citation to a source document."""
source: Literal["pubmed", "web"] = Field(description="Where this came from")
title: str = Field(min_length=1, max_length=500)
url: str = Field(description="URL to the source")
date: str = Field(description="Publication date (YYYY-MM-DD or 'Unknown')")
authors: list[str] = Field(default_factory=list)
MAX_AUTHORS_IN_CITATION: ClassVar[int] = 3
@property
def formatted(self) -> str:
"""Format as a citation string."""
author_str = ", ".join(self.authors[: self.MAX_AUTHORS_IN_CITATION])
if len(self.authors) > self.MAX_AUTHORS_IN_CITATION:
author_str += " et al."
return f"{author_str} ({self.date}). {self.title}. {self.source.upper()}"
class Evidence(BaseModel):
"""A piece of evidence retrieved from search."""
content: str = Field(min_length=1, description="The actual text content")
citation: Citation
relevance: float = Field(default=0.0, ge=0.0, le=1.0, description="Relevance score 0-1")
model_config = {"frozen": True}
class SearchResult(BaseModel):
"""Result of a search operation."""
query: str
evidence: list[Evidence]
sources_searched: list[Literal["pubmed", "web"]]
total_found: int
errors: list[str] = Field(default_factory=list)