55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
from __future__ import annotations
|
|
|
|
from typing import Literal
|
|
|
|
from pydantic import BaseModel, Field
|
|
|
|
|
|
class EmailData(BaseModel):
|
|
subject: str
|
|
body: str
|
|
|
|
|
|
class ClassifyRequest(BaseModel):
|
|
email_data: EmailData
|
|
provider: Literal["openai", "anthropic"] | None = None
|
|
model: str | None = None
|
|
base_url: str | None = None
|
|
api_key: str | None = Field(default=None, exclude=True)
|
|
temperature: float | None = None
|
|
from_address: str | None = None
|
|
received_at: str | None = None
|
|
|
|
|
|
class ClassificationDetails(BaseModel):
|
|
summary: str | None = None
|
|
suggested_title: str | None = None
|
|
suggested_notes: str | None = None
|
|
deadline: str | None = None
|
|
people: list[str] = Field(default_factory=list)
|
|
organizations: list[str] = Field(default_factory=list)
|
|
attachments_referenced: list[str] = Field(default_factory=list)
|
|
next_steps: list[str] = Field(default_factory=list)
|
|
key_points: list[str] = Field(default_factory=list)
|
|
source_signals: list[str] = Field(default_factory=list)
|
|
dedupe_key: str | None = None
|
|
|
|
|
|
class DedupeResult(BaseModel):
|
|
status: Literal["new", "duplicate", "updated"]
|
|
seen_count: int = 1
|
|
matched_on: Literal["none", "subject", "fingerprint"] = "none"
|
|
subject_key: str
|
|
fingerprint: str
|
|
|
|
|
|
class ClassificationResult(BaseModel):
|
|
needs_action: bool
|
|
category: Literal["action_required", "question", "fyi", "newsletter", "promotional", "automated", "alert", "uncategorized"]
|
|
priority: Literal["high", "medium", "low"]
|
|
task_description: str | None = None
|
|
reasoning: str
|
|
confidence: float
|
|
details: ClassificationDetails | None = None
|
|
dedupe: DedupeResult | None = None
|