mirror of
https://github.com/MODSetter/SurfSense.git
synced 2025-09-02 10:39:13 +00:00
43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
"""Define the state structures for the agent."""
|
|
|
|
from __future__ import annotations
|
|
|
|
from dataclasses import dataclass
|
|
|
|
from pydantic import BaseModel, Field
|
|
from sqlalchemy.ext.asyncio import AsyncSession
|
|
|
|
|
|
class PodcastTranscriptEntry(BaseModel):
|
|
"""
|
|
Represents a single entry in a podcast transcript.
|
|
"""
|
|
|
|
speaker_id: int = Field(..., description="The ID of the speaker (0 or 1)")
|
|
dialog: str = Field(..., description="The dialog text spoken by the speaker")
|
|
|
|
|
|
class PodcastTranscripts(BaseModel):
|
|
"""
|
|
Represents the full podcast transcript structure.
|
|
"""
|
|
|
|
podcast_transcripts: list[PodcastTranscriptEntry] = Field(
|
|
..., description="List of transcript entries with alternating speakers"
|
|
)
|
|
|
|
|
|
@dataclass
|
|
class State:
|
|
"""Defines the input state for the agent, representing a narrower interface to the outside world.
|
|
|
|
This class is used to define the initial state and structure of incoming data.
|
|
See: https://langchain-ai.github.io/langgraph/concepts/low_level/#state
|
|
for more information.
|
|
"""
|
|
|
|
# Runtime context
|
|
db_session: AsyncSession
|
|
source_content: str
|
|
podcast_transcript: list[PodcastTranscriptEntry] | None = None
|
|
final_podcast_file_path: str | None = None
|