from typing import List, Optional
from pydantic import BaseModel, Field


class HealthResponse(BaseModel):
    status: str = Field(description="'ok' if Whisper is loaded, 'degraded' otherwise")
    whisper_loaded: bool
    gemini_available: bool
    model_path: str


class TranscriptResponse(BaseModel):
    """Raw Whisper transcript — no post-processing."""
    audio_filename: str
    transcript: str


class AutoCorrectedResponse(BaseModel):
    """Whisper transcript + Gemini phonetic/spelling correction (no speaker labels)."""
    audio_filename: str
    transcript: str
    corrected_transcript: str = Field(
        description=(
            "Phonetically and orthographically corrected Arabic text. "
            "No speaker labels — single continuous stream. "
            "Falls back to the raw Whisper transcript if Gemini is unavailable."
        )
    )
    gemini_applied: bool = Field(
        default=True,
        description="False if Gemini was unavailable and the raw transcript was returned as-is.",
    )


class CorrectedTranscriptResponse(BaseModel):
    """Whisper transcript + Gemini speaker-separated, phonetically corrected version."""
    audio_filename: str
    transcript: str
    corrected_transcript: str = Field(
        description=(
            "Speaker-labelled, phonetically corrected Arabic transcript produced by Gemini. "
            "SPEAKER_01 = Agent, SPEAKER_00 = Customer."
        )
    )


class AnalysisResponse(BaseModel):
    """Full call analysis: transcript + all structured fields from Gemini."""
    audio_filename: str
    transcript: str
    cleaned_transcript: str
    agent_name: Optional[str]
    customer_name: Optional[str]
    unit_number: List[str]
    project_name: Optional[str]
    department_mentioned: Optional[str]
    call_type: str = Field(description="'Inbound' or 'Outbound'")
    customer_satisfaction: int = Field(description="1–5 integer inferred from tone")
    is_urgent: bool
    pain_points: List[str]
    action_items_promised: List[str]
    next_steps: List[str]