"""Pydantic schemas (request/response) for the API layer.

These are NOT the same as the world's JSON-schema — see `app/core/state_validator`
for world-schema validation. Pydantic here only handles HTTP boundary validation.
"""

from __future__ import annotations

import uuid
from datetime import datetime
from typing import Any, Literal

from pydantic import BaseModel, EmailStr, Field, field_validator


# --------------------------------------------------------------------------- #
# Auth
# --------------------------------------------------------------------------- #
class RegisterRequest(BaseModel):
    email: EmailStr
    username: str = Field(min_length=3, max_length=64, pattern=r"^[a-zA-Z0-9_]+$")
    password: str = Field(min_length=8, max_length=128)
    password_confirm: str = Field(min_length=8, max_length=128)

    @field_validator("password_confirm")
    @classmethod
    def _match(cls, v, info):
        if "password" in info.data and v != info.data["password"]:
            raise ValueError("password and password_confirm do not match")
        return v


class AdminRegisterRequest(BaseModel):
    token: str
    email: EmailStr
    username: str = Field(min_length=3, max_length=64, pattern=r"^[a-zA-Z0-9_]+$")
    password: str = Field(min_length=8, max_length=128)
    password_confirm: str = Field(min_length=8, max_length=128)

    @field_validator("password_confirm")
    @classmethod
    def _match(cls, v, info):
        if "password" in info.data and v != info.data["password"]:
            raise ValueError("password and password_confirm do not match")
        return v


class LoginRequest(BaseModel):
    login: str = Field(min_length=1, max_length=255)  # email OR username
    password: str = Field(min_length=1, max_length=128)


class TokenResponse(BaseModel):
    access_token: str
    refresh_token: str
    token_type: str = "bearer"
    expires_in: int = 60 * 24
    user: "UserPublic"


class UserPublic(BaseModel):
    id: uuid.UUID
    email: EmailStr
    username: str
    is_admin: bool
    is_active: bool
    created_at: datetime
    last_login_at: datetime | None = None

    model_config = {"from_attributes": True}


# --------------------------------------------------------------------------- #
# Worlds
# --------------------------------------------------------------------------- #
class WorldSummary(BaseModel):
    id: uuid.UUID
    name: str
    description: str | None
    language: str
    status: str
    last_played_at: datetime | None
    current_time: str
    created_at: datetime
    preview_player_name: str | None = None

    model_config = {"from_attributes": True}


class WorldFull(BaseModel):
    id: uuid.UUID
    owner_id: uuid.UUID
    preset_id: uuid.UUID | None
    name: str
    description: str | None
    language: str
    rules: list
    time_schema: dict
    schemas: list
    environment_schema: list
    environment: dict
    plot_rails: dict
    current_time: str
    status: str
    intro_scene: str | None
    created_at: datetime
    updated_at: datetime
    last_played_at: datetime | None

    model_config = {"from_attributes": True}


class WorldCreateRequest(BaseModel):
    mode: Literal["preset", "form"]
    preset_id: uuid.UUID | None = None
    form_data: dict | None = None
    name: str = Field(min_length=1, max_length=255)
    language: str = Field(min_length=2, max_length=8, default="en")
    player_name: str = Field(min_length=1, max_length=128)
    notes: str | None = None


class WorldPatchRequest(BaseModel):
    name: str | None = None
    description: str | None = None
    rules: list | None = None
    schemas: list | None = None
    environment_schema: list | None = None
    environment: dict | None = None
    plot_rails: dict | None = None
    time_schema: dict | None = None
    current_time: str | None = None
    intro_scene: str | None = None
    status: str | None = None
    updated_at: datetime | None = None  # for optimistic locking


class WorldEditRequest(BaseModel):
    instruction: str = Field(min_length=1, max_length=4000)


# --------------------------------------------------------------------------- #
# Sessions
# --------------------------------------------------------------------------- #
class IterateRequest(BaseModel):
    action: str = Field(min_length=1, max_length=4000)
    action_source: Literal["custom", "suggested"] = "custom"


class AnswerRequest(BaseModel):
    text: str = Field(min_length=1, max_length=4000)


class SessionState(BaseModel):
    world: dict
    environment: dict
    recent_steps: list[dict]
    next_actions: list[str]


# --------------------------------------------------------------------------- #
# Presets
# --------------------------------------------------------------------------- #
class PresetSummary(BaseModel):
    id: uuid.UUID
    name: str
    description: str | None
    language: str
    is_public: bool
    status: str
    version: int
    created_at: datetime

    model_config = {"from_attributes": True}


class PresetFull(BaseModel):
    id: uuid.UUID
    owner_id: uuid.UUID
    name: str
    description: str | None
    language: str
    rules: list
    time_schema: dict
    schemas: list
    environment_schema: list
    environment_initial: dict
    status: str
    is_public: bool
    version: int
    created_at: datetime
    updated_at: datetime

    model_config = {"from_attributes": True}


class PresetCreateRequest(BaseModel):
    name: str = Field(min_length=1, max_length=255)
    description: str | None = None
    language: str = "en"
    rules: list = Field(default_factory=list)
    time_schema: dict = Field(default_factory=lambda: {"hours_in_day": 24, "initial_date": "day_1_hour_8"})
    schemas: list = Field(default_factory=list)
    environment_schema: list = Field(default_factory=list)
    environment_initial: dict = Field(default_factory=dict)
    is_public: bool = False


# --------------------------------------------------------------------------- #
# Admin
# --------------------------------------------------------------------------- #
class SettingsPatchRequest(BaseModel):
    """A flat dict of {setting_key: value} to upsert."""

    settings: dict[str, Any]


class LlmLogOut(BaseModel):
    id: uuid.UUID
    stage: str
    model: str
    status: str
    latency_ms: int | None
    prompt_tokens: int | None
    completion_tokens: int | None
    error_message: str | None
    created_at: datetime

    model_config = {"from_attributes": True}


class LlmLogDetail(BaseModel):
    id: uuid.UUID
    user_id: uuid.UUID | None
    world_id: uuid.UUID | None
    step_id: uuid.UUID | None
    stage: str
    model: str
    request_messages: list
    request_tools: list | None
    response_message: dict
    tool_calls: list | None
    prompt_tokens: int | None
    completion_tokens: int | None
    latency_ms: int | None
    temperature: float | None
    status: str
    error_message: str | None
    created_at: datetime

    model_config = {"from_attributes": True}


class TestLlmRequest(BaseModel):
    api_url: str | None = None
    api_key: str | None = None
    model: str | None = None


class TestEmbeddingsRequest(BaseModel):
    api_url: str | None = None
    api_key: str | None = None
    model: str | None = None
    provider: str | None = None


# --------------------------------------------------------------------------- #
# Misc
# --------------------------------------------------------------------------- #
class HealthResponse(BaseModel):
    status: str
    db: bool
    qdrant: bool
    llm: bool
    embeddings: bool
    version: str


class ErrorOut(BaseModel):
    error: dict[str, Any]


# --------------------------------------------------------------------------- #
# Forward refs
# --------------------------------------------------------------------------- #
TokenResponse.model_rebuild()