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local-transcription/client/models.py

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"""Shared data models used across transcription engines."""
from datetime import datetime
class TranscriptionResult:
"""Represents a transcription result."""
def __init__(self, text: str, is_final: bool, timestamp: datetime, user_name: str = ""):
"""
Initialize transcription result.
Args:
text: Transcribed text
is_final: Whether this is a final transcription or realtime preview
timestamp: Timestamp of transcription
user_name: Name of the user/speaker
"""
self.text = text.strip()
self.is_final = is_final
self.timestamp = timestamp
self.user_name = user_name
def __repr__(self) -> str:
time_str = self.timestamp.strftime("%H:%M:%S")
prefix = "[FINAL]" if self.is_final else "[PREVIEW]"
if self.user_name and self.user_name.strip():
return f"{prefix} [{time_str}] {self.user_name}: {self.text}"
return f"{prefix} [{time_str}] {self.text}"