"""
application/dto/ppg_dto.py
───────────────────────────
Pydantic DTOs for PPG ingestion — the "shape" of data crossing the
API boundary into the Application layer.

Why separate from domain entity?
  • PPGSignal entity enforces domain rules (validate()).
  • PPGIngestRequest handles HTTP deserialization & input validation.
  • Keeps domain entity clean — no Pydantic Field annotations, no JSON aliases.
"""
from __future__ import annotations

from datetime import datetime, timezone
from typing import Optional

from pydantic import BaseModel, Field, field_validator


class PPGIngestRequest(BaseModel):
    """
    Incoming payload from the mobile app (POST /api/v1/ppg/ingest).

    Sent by the smartphone after acquiring a PPG signal from the IoT sensor.
    """

    device_id: str = Field(
        ...,
        min_length=1,
        max_length=128,
        description="Unique identifier of the IoT sensor/device.",
        examples=["sensor-001", "ppg-wristband-A3F2"],
    )
    user_id: str = Field(
        ...,
        min_length=1,
        max_length=128,
        description="Unique identifier of the patient/user.",
        examples=["user-123", "patient-456"],
    )
    sampling_rate: float = Field(
        ...,
        gt=0,
        le=1000,
        description="Signal sampling rate in Hz.",
        examples=[125.0, 250.0],
    )
    ppg_values: list[float] = Field(
        ...,
        min_length=1,
        description="Ordered list of raw PPG amplitude values.",
    )
    duration_seconds: float = Field(
        ...,
        gt=0,
        description="Duration of the recording in seconds.",
        examples=[10.0, 30.0, 60.0],
    )
    timestamp: datetime = Field(
        default_factory=lambda: datetime.now(timezone.utc),
        description="UTC timestamp of capture. Defaults to server time if omitted.",
    )

    @field_validator("ppg_values")
    @classmethod
    def validate_ppg_values_not_empty(cls, v: list[float]) -> list[float]:
        if len(v) == 0:
            raise ValueError("ppg_values must contain at least one sample")
        return v

    model_config = {
        "json_schema_extra": {
            "example": {
                "device_id": "sensor-001",
                "user_id": "user-123",
                "sampling_rate": 125.0,
                "ppg_values": [0.10, 0.15, 0.40, 0.85, 0.92, 0.75, 0.42, 0.18, 0.12],
                "duration_seconds": 10.0,
            }
        }
    }


class PPGIngestResponse(BaseModel):
    """
    Response returned after a successful PPG ingestion (ETL #1).
    """

    signal_id: str = Field(description="UUID of the stored PPGSignal record.")
    user_id: str
    device_id: str
    num_samples: int = Field(description="Number of PPG samples stored.")
    duration_seconds: float
    queued: bool = Field(
        description="Whether the signal was successfully published to the message queue."
    )
    message: str = Field(default="PPG signal ingested successfully.")

    model_config = {
        "json_schema_extra": {
            "example": {
                "signal_id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
                "user_id": "user-123",
                "device_id": "sensor-001",
                "num_samples": 1250,
                "duration_seconds": 10.0,
                "queued": True,
                "message": "PPG signal ingested successfully.",
            }
        }
    }