from datetime import date, datetime
from typing import TYPE_CHECKING

from sqlalchemy import (
    BigInteger,
    Boolean,
    CheckConstraint,
    Computed,
    Date,
    DateTime,
    Float,
    ForeignKey,
    Index,
    Integer,
    JSON,
    LargeBinary,
    SmallInteger,
    String,
    Text,
    UniqueConstraint,
    func,
)
from sqlalchemy.dialects.postgresql import JSONB, TSVECTOR
from sqlalchemy.orm import Mapped, mapped_column, relationship, validates

from app.db import Base
from app.runstatus import RunStatus, RunTrigger, sql_in
from app.utils import canonical_email

if TYPE_CHECKING:
    from app.catalog.models import Subscription

# Every user-supplied display string in this schema shares one width, and it lives HERE so the
# columns below are declared with it rather than with a literal: a name a person typed goes into
# `User.display_name` (their Google profile name), `DownloadJob.display_name` and
# `DownloadJob.display_uploader`. A value wider than the column is a psycopg DataError, which
# `main.py` re-raises for everything but the NUL case — i.e. a bare 500 for a name somebody pasted.
DISPLAY_TEXT_MAX = 255


def display_text(raw: str | None) -> str | None:
    """A user-supplied display string on its way into one of those columns: stripped, truncated,
    blank -> None.

    One definition because there are SIX writers and they had drifted: `POST /api/downloads`,
    `POST /api/downloads/edit`, `POST /api/files/upload`, the library PATCH's two fields, and
    the Google sign-in callback. Only the PATCH truncated. Truncating is the right answer rather
    than refusing: the name is a label on work the user has already done — a file already
    transferred, an account already authenticated — and losing its tail is not worth failing the
    request over.

    `test_upload.py` holds both halves: that every route assigning one of these fields goes through
    this helper (parsed, not grepped), and that each of those routes truncates rather than 500s. A
    sweep is exactly the kind of thing that gets done five-sixths of the way, which is how this
    ended up being written twice.
    """
    return (raw or "").strip()[:DISPLAY_TEXT_MAX] or None


# The resume-position columns (VideoState / PlexState.position_seconds) are int4. The checkpoint
# routes bound their bodies by this, so an out-of-range position is a 422 rather than a 500.
POSITION_MAX_S = 2**31 - 1


class TimestampMixin:
    """Adds a server-defaulted `created_at`. Models that index created_at or order it
    differently (QuotaEvent, Notification) keep their own column on purpose."""

    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())


class CanonicalEmailMixin:
    """Keeps `email_canonical` derived from `email` on every write.

    The invariant — "identity is matched on the canonical form, mail is sent to the typed one" —
    lives HERE, in code, instead of in a comment every write site has to remember. That distinction
    is what the 2026-09-03 lockout was made of: one gate lowercased, nothing else did, and an
    approved user's Google sign-in silently became a second access request.
    """

    @validates("email")
    def _derive_email_canonical(self, _key: str, value: str | None) -> str | None:
        self.email_canonical = canonical_email(value)
        return value


class UpdatedAtMixin:
    """Adds an `updated_at` that server-defaults on insert and bumps on every UPDATE."""

    updated_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
    )


class User(Base, TimestampMixin, CanonicalEmailMixin):
    __tablename__ = "users"

    id: Mapped[int] = mapped_column(primary_key=True)
    # NULL for an email+password account that hasn't linked Google yet (Postgres allows
    # multiple NULLs under a unique index). Set on Google sign-in / in-app linking.
    google_sub: Mapped[str | None] = mapped_column(String(64), unique=True, index=True)
    email: Mapped[str] = mapped_column(String(320), unique=True, index=True)
    # The same mailbox, in the form used to MATCH identities (utils.canonical_email) — Gmail dots and
    # `+tags` folded away. Kept by the validator below so no write site can forget it. Deliberately
    # NOT unique: prod already carries two rows for one mailbox (a password registration and the
    # Google sign-in that failed to find it), and a migration must not merge accounts on its own.
    email_canonical: Mapped[str] = mapped_column(String(320), index=True, server_default="")
    # The address Google asserted for this account, recorded at sign-in / link time. NOT the same
    # thing as `email`: a Google sign-in no longer overwrites the address the user
    # registered with, so a deliberate `me+siftlode@gmail.com` survives — and this is where the other
    # half of the truth lives, for the UI to show when the two differ. NULL until the next Google
    # sign-in for accounts linked before this column existed.
    google_email: Mapped[str | None] = mapped_column(String(320))
    # argon2id hash for email+password login; NULL for Google-only accounts.
    password_hash: Mapped[str | None] = mapped_column(String(255))
    # When SEC-10 dropped a preset password on Google adoption (see the single caller of
    # auth.revoke_untrusted_preset_password; admin approval no longer revokes). Without
    # this trace a revoked account was indistinguishable from a Google-only one, so it failed the
    # password-reset eligibility check and could never be recovered — it could neither sign in nor
    # reset. Set = "had a password, lost it to the guard" -> reset-eligible. Cleared whenever a
    # password is set again (reset-confirm / set-password).
    password_revoked_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    # Email ownership proven (Google sign-in is implicitly verified; password registration
    # verifies via a link). Login requires this AND is_active.
    email_verified: Mapped[bool] = mapped_column(Boolean, default=False, server_default="false")
    # Admin-approved & enabled. A pending password registration starts inactive; admin
    # approval activates it. A deactivated account can't log in.
    is_active: Mapped[bool] = mapped_column(Boolean, default=True, server_default="true")
    # Admin-imposed access block, distinct from is_active (approval lifecycle). A suspended
    # account can't sign in by any method and its live sessions are rejected; the user is told
    # why and pointed at the operator's contact. The worker leaves its queued downloads unclaimed
    # until the block is lifted (`worker._claim_job`).
    is_suspended: Mapped[bool] = mapped_column(Boolean, default=False, server_default="false")
    # Server-side session revocation (SA4): a monotonic counter bumped on password reset, password
    # change, or "log out everywhere". A signed session cookie records the epoch it was minted under;
    # current_user rejects any cookie whose epoch is stale, so a stolen/copied cookie dies on those
    # events (client-side signed cookies otherwise stay valid until they expire).
    session_epoch: Mapped[int] = mapped_column(Integer, default=0, server_default="0")
    # When this account last signed in (Google or password), stamped by the one sign-in path,
    # routes/auth._establish_session. NULL = not since the column existed (0085; no backfill is
    # possible).
    last_login_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    # The diagnostics level this user consented to and when it lapses back to the base
    # level. Both NULL = base. Written only by `PUT /api/me/diagnostics`, which computes the expiry
    # itself; read through `app.diagnostics.effective_level`, never directly (an expired level is
    # not cleared eagerly — it simply stops counting).
    diagnostics_level: Mapped[str | None] = mapped_column(String(8))
    diagnostics_until: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    display_name: Mapped[str | None] = mapped_column(String(DISPLAY_TEXT_MAX))
    avatar_url: Mapped[str | None] = mapped_column(String(1024))
    role: Mapped[str] = mapped_column(String(16), default="user", server_default="user")
    # The user's own YouTube channel id, resolved lazily (channels.list?mine=true) and
    # cached. Used to exclude their own channel from playlist discovery. NULL = unresolved.
    yt_channel_id: Mapped[str | None] = mapped_column(String(32))
    # Free-form UI preferences (theme, color scheme, font scale, default filters…).
    preferences: Mapped[dict | None] = mapped_column(JSON)

    token: Mapped["OAuthToken | None"] = relationship(
        back_populates="user", uselist=False, cascade="all, delete-orphan"
    )
    subscriptions: Mapped[list["Subscription"]] = relationship(
        back_populates="user", cascade="all, delete-orphan"
    )


class OAuthToken(Base, UpdatedAtMixin):
    __tablename__ = "oauth_tokens"

    id: Mapped[int] = mapped_column(primary_key=True)
    user_id: Mapped[int] = mapped_column(ForeignKey("users.id", ondelete="CASCADE"), unique=True)
    # Refresh token encrypted at rest (Fernet). Access token is short-lived and low risk.
    refresh_token_enc: Mapped[str | None] = mapped_column(String)
    access_token: Mapped[str | None] = mapped_column(String)
    expiry: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    scopes: Mapped[str | None] = mapped_column(String)

    user: Mapped["User"] = relationship(back_populates="token")


class AuthToken(Base, TimestampMixin):
    """Single-use, expiring token for email verification or password reset. Only the SHA-256
    HASH of the token is stored, so a DB leak can't be used to verify/reset; the raw token
    lives only in the emailed link. Consumed (used_at set) on first valid use."""

    __tablename__ = "auth_tokens"

    id: Mapped[int] = mapped_column(primary_key=True)
    user_id: Mapped[int] = mapped_column(ForeignKey("users.id", ondelete="CASCADE"), index=True)
    kind: Mapped[str] = mapped_column(String(16))  # "verify" | "reset"
    token_hash: Mapped[str] = mapped_column(String(64), unique=True, index=True)
    expires_at: Mapped[datetime] = mapped_column(DateTime(timezone=True))
    used_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))


class Invite(Base, CanonicalEmailMixin):
    """Access-request / whitelist row. Source of truth for who may sign in; the env
    ALLOWED_EMAILS/ADMIN_EMAILS act only as a bootstrap fallback (see auth.is_allowed)."""

    __tablename__ = "invites"

    id: Mapped[int] = mapped_column(primary_key=True)
    email: Mapped[str] = mapped_column(String(320), unique=True, index=True)
    # See User.email_canonical. Not unique here either: prod has approved invites for both spellings
    # of the same mailbox, dating back to 2026-06-16.
    email_canonical: Mapped[str] = mapped_column(String(320), index=True, server_default="")
    # pending | approved | denied
    status: Mapped[str] = mapped_column(String(16), default="pending", server_default="pending")
    note: Mapped[str | None] = mapped_column(Text)
    requested_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), server_default=func.now()
    )
    decided_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    decided_by: Mapped[str | None] = mapped_column(String(320))  # admin email
    # When the admin last SENT this person an invitation from the whitelist row. Adding an address
    # stays silent — it opens a door, it does not knock — so telling them is a separate, deliberate
    # act, and this is what stops it happening twice to a real person.
    invited_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    # The language this person asked us in ("en"/"hu"), captured when the request was made: the page
    # their form was on, or the locale Google reported for a refused sign-in. NULL for a row the
    # admin whitelisted by hand — nobody has told us anything about that mailbox, which is exactly
    # why the invitation send asks. Captured rather than derived for the same reason
    # `preferences.language` and `google_email` are: the signal exists only in that one moment and
    # cannot be backfilled afterwards.
    lang: Mapped[str | None] = mapped_column(String(8))


class ApiQuotaUsage(Base):
    """Tracks YouTube Data API units spent per Pacific-time day (the quota resets at
    midnight Pacific). The whole app shares one daily budget."""

    __tablename__ = "api_quota_usage"

    day: Mapped[date] = mapped_column(Date, primary_key=True)
    units_used: Mapped[int] = mapped_column(Integer, default=0, server_default="0")


class QuotaEvent(Base):
    """Per-spend audit log for YouTube API quota attribution. `user_id` is the end-user
    whose action caused the spend; NULL means background/system work (scheduler backfill,
    enrichment, resync). The aggregate budget still lives in ApiQuotaUsage; this is detail."""

    __tablename__ = "quota_events"

    id: Mapped[int] = mapped_column(primary_key=True)
    # SET NULL on user delete: keep the audit trail (it just becomes system-attributed).
    user_id: Mapped[int | None] = mapped_column(
        ForeignKey("users.id", ondelete="SET NULL"), index=True
    )
    action: Mapped[str] = mapped_column(String(40), index=True)
    units: Mapped[int] = mapped_column(Integer)
    created_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), server_default=func.now(), index=True
    )
    # The background run that spent it (app/jobruns.py); NULL = a request's own spend. SET NULL: a
    # reaped run leaves the spend in the budget's history.
    job_run_id: Mapped[int | None] = mapped_column(
        ForeignKey("job_runs.id", ondelete="SET NULL"), index=True
    )


class AuditLog(Base):
    """Append-only admin audit trail: who did what, when, and (where it applies) the before->after
    values. `actor_id` is the acting admin; NULL means the background did it (SET NULL on user
    delete keeps the trail). Logged per ACTION, never per row; a background run is not an action
    and has its own history (`JobRun`). `before`/`after` are small JSON snapshots (secrets
    excluded). `request_id` is the request that made the change, so its log lines are one click
    away (NULL for rows written outside a request, and for rows older than the column)."""

    __tablename__ = "audit_log"

    id: Mapped[int] = mapped_column(primary_key=True)
    actor_id: Mapped[int | None] = mapped_column(
        ForeignKey("users.id", ondelete="SET NULL"), index=True
    )
    action: Mapped[str] = mapped_column(String(48), index=True)
    target_type: Mapped[str | None] = mapped_column(String(32))
    target_id: Mapped[str | None] = mapped_column(String(128))
    summary: Mapped[str | None] = mapped_column(String(255))
    before: Mapped[dict | None] = mapped_column(JSON)
    after: Mapped[dict | None] = mapped_column(JSON)
    created_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), server_default=func.now(), index=True
    )
    request_id: Mapped[str | None] = mapped_column(String(64), index=True)


class LogEvent(Base):
    """One stored log event — the `log_events` table the diagnostics console reads. Rows are
    written by app/logsink.py's background writer, never inside a request's transaction, already
    redacted (the same `logs.record_fields` the stdout line is built from).

    `user_id` has NO foreign key on purpose: the writer runs behind the event, so a line about an
    account can arrive after that account was purged, and a constraint would make it fail the whole
    batch it travels in. `auth.purge_user` deletes an account's rows explicitly instead, after
    `logs.forget_user` makes every later write in this process store such a line without the account;
    the retention job (`log_retention_days`) bounds whatever another process writes late."""

    __tablename__ = "log_events"
    __table_args__ = (
        Index("ix_log_events_user_ts", "user_id", "ts"),
        # An issue's bundle is `WHERE debug_session_id = …`; nearly every row has none.
        Index(
            "ix_log_events_debug_session",
            "debug_session_id",
            postgresql_where="debug_session_id IS NOT NULL",
        ),
        # A run's lines are `WHERE run_id = …`; request lines carry none.
        Index("ix_log_events_run", "run_id", postgresql_where="run_id IS NOT NULL"),
    )

    id: Mapped[int] = mapped_column(BigInteger, primary_key=True)
    ts: Mapped[datetime] = mapped_column(DateTime(timezone=True), index=True)
    level: Mapped[str] = mapped_column(String(10))
    sev: Mapped[int] = mapped_column(SmallInteger)
    source: Mapped[str] = mapped_column(String(16))
    logger: Mapped[str] = mapped_column(String(128))
    event: Mapped[str | None] = mapped_column(String(64))
    msg: Mapped[str] = mapped_column(Text)
    attrs: Mapped[dict | None] = mapped_column(JSONB)
    exc: Mapped[str | None] = mapped_column(Text)
    request_id: Mapped[str | None] = mapped_column(String(64), index=True)
    user_id: Mapped[int | None] = mapped_column(Integer)
    debug_session_id: Mapped[str | None] = mapped_column(String(64))
    # A DOWNLOAD job's id (download_jobs) — not a background run, which is `run_id`.
    job_id: Mapped[int | None] = mapped_column(Integer)
    # The background run (job_runs) that logged it. No foreign key, as `user_id`: the writer runs
    # behind the event, and a run reaped meanwhile must not fail the batch its lines travel in.
    run_id: Mapped[int | None] = mapped_column(BigInteger)
    version: Mapped[str | None] = mapped_column(String(64))


class DebugSession(Base):
    """One recording: Start → reproduce → Stop (app/debugsession.py). While it is open, every
    request of its user that names it (`X-Debug-Session`) is logged at `level` and tagged with `id`,
    and the issue it ends in is built from the rows carrying that tag. `until` is the hard cap the
    server set at Start; an open session past it is over whether or not the sweep has closed it yet.
    One OPEN session per user (`uq_debug_sessions_open_per_user`, partial on `ended_at IS NULL`)."""

    __tablename__ = "debug_sessions"
    __table_args__ = (
        Index(
            "uq_debug_sessions_open_per_user",
            "user_id",
            unique=True,
            postgresql_where="ended_at IS NULL",
        ),
    )

    id: Mapped[str] = mapped_column(String(16), primary_key=True)
    user_id: Mapped[int] = mapped_column(ForeignKey("users.id", ondelete="CASCADE"), index=True)
    level: Mapped[str] = mapped_column(String(8))
    started_at: Mapped[datetime] = mapped_column(DateTime(timezone=True))
    until: Mapped[datetime] = mapped_column(DateTime(timezone=True))
    ended_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    # app/debugsession.py `EndReason`: stopped by the user, or past `until`.
    ended_reason: Mapped[str | None] = mapped_column(String(16))
    issue_url: Mapped[str | None] = mapped_column(String(512))
    # The issue being written from it (app/debugsession.py `save_draft` holds its shape).
    draft: Mapped[dict | None] = mapped_column(JSONB)


class DebugScreenshot(Base):
    """A screenshot attached to a debug session — pasted, dropped, or captured from the pill.
    Stored in the row: bounded per session (app/debugsession.py), and gone with it by cascade."""

    __tablename__ = "debug_screenshots"

    id: Mapped[int] = mapped_column(primary_key=True)
    session_id: Mapped[str] = mapped_column(
        ForeignKey("debug_sessions.id", ondelete="CASCADE"), index=True
    )
    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True))
    mime: Mapped[str] = mapped_column(String(16))
    size: Mapped[int] = mapped_column(Integer)
    data: Mapped[bytes] = mapped_column(LargeBinary)


class AppState(Base):
    """Single-row global app state (admin-controlled)."""

    __tablename__ = "app_state"

    id: Mapped[int] = mapped_column(primary_key=True, default=1)
    sync_paused: Mapped[bool] = mapped_column(Boolean, default=False, server_default="false")
    # First-run install wizard. `configured` is False on a fresh instance (the app runs in
    # setup mode: only the wizard works) and flipped True when the wizard finishes. While
    # unconfigured, a one-time setup token (only its SHA-256 hash stored) gates the wizard;
    # the raw token + URL are printed to the container logs on each startup.
    configured: Mapped[bool] = mapped_column(Boolean, default=False, server_default="false")
    setup_token_hash: Mapped[str | None] = mapped_column(String(64))


class JobRun(Base):
    """One run of a background job — scheduled, an admin's "run now", or a user's ad-hoc work on one
    target — written when it starts and again when it ends (app/jobruns.py), each in its own
    committed session, so the history survives the job's own rollback and a restart. A row left
    `running` by a process that died is set `interrupted` at the next startup.

    `quota_units` is what the run spent of the YouTube budget: the `quota_events` rows carrying its
    id, summed when it ends. `summary` is the English one-line fallback; `result` / `failure` are the
    same outcome as data, which the client names in the reader's language."""

    __tablename__ = "job_runs"
    __table_args__ = (
        Index("ix_job_runs_job_started", "job", "started_at"),
        CheckConstraint(f"status IN ({sql_in(RunStatus)})", name="ck_job_runs_status"),
        CheckConstraint(f"trigger IN ({sql_in(RunTrigger)})", name="ck_job_runs_trigger"),
        # Only a run still going has no end.
        CheckConstraint(
            f"(status = '{RunStatus.RUNNING}') = (finished_at IS NULL)", name="ck_job_runs_finished"
        ),
    )

    id: Mapped[int] = mapped_column(BigInteger, primary_key=True)
    job: Mapped[str] = mapped_column(String(40))
    trigger: Mapped[str] = mapped_column(String(16))
    # Who started it: the admin of a manual run, the user of an ad-hoc one; NULL = the schedule.
    actor_id: Mapped[int | None] = mapped_column(
        ForeignKey("users.id", ondelete="SET NULL"), index=True
    )
    # What an ad-hoc run worked on (a channel id); NULL for the recurring jobs.
    target: Mapped[str | None] = mapped_column(String(128))
    status: Mapped[str] = mapped_column(String(16))
    started_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), index=True)
    finished_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    summary: Mapped[str | None] = mapped_column(Text)
    result: Mapped[dict | None] = mapped_column(JSONB)
    error: Mapped[str | None] = mapped_column(Text)
    failure: Mapped[dict | None] = mapped_column(JSONB)
    quota_units: Mapped[int] = mapped_column(Integer, default=0, server_default="0")


class SystemConfig(Base):
    """Admin-set overrides for operational config that otherwise comes from env/config
    defaults. Generic key/value store (one row per key); absent = use the env/config
    default. DB-backed so it's editable from the admin Configuration page at runtime without
    a redeploy. Secret values (e.g. SMTP password) are stored Fernet-encrypted (`encrypted`
    flag) using TOKEN_ENCRYPTION_KEY; non-secrets are plaintext. The set of known keys + their
    types/groups/defaults lives in app.sysconfig (the single source of truth)."""

    __tablename__ = "system_config"

    key: Mapped[str] = mapped_column(String(64), primary_key=True)
    value: Mapped[str | None] = mapped_column(Text)
    encrypted: Mapped[bool] = mapped_column(Boolean, default=False, server_default="false")
    updated_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), default=func.now(), onupdate=func.now()
    )


class Notification(Base):
    """A durable, server-backed per-user notification (the inbox center, phase 1).

    Distinct from the client-side transient "bell" (toasts kept only in localStorage):
    these survive reloads and devices, and are produced server-side (first producer = the
    maintenance/validation job's batched "N saved/playlisted videos removed" notice). The
    column is named `data` (not `metadata`, which SQLAlchemy's declarative Base reserves):
    a free-form JSON payload (e.g. the list of removed videos) the UI can render. `read`
    and `dismissed` are separate: read clears the unread badge but keeps the row in the
    inbox; dismissed removes it from the default view. Unread rows never auto-expire; read
    ones are trimmed past a soft per-user cap (see app.notifications.trim_read)."""

    __tablename__ = "notifications"

    id: Mapped[int] = mapped_column(primary_key=True)
    user_id: Mapped[int] = mapped_column(ForeignKey("users.id", ondelete="CASCADE"), index=True)
    type: Mapped[str] = mapped_column(String(32), index=True)  # e.g. "maintenance"
    title: Mapped[str] = mapped_column(String(255))
    body: Mapped[str | None] = mapped_column(Text)
    data: Mapped[dict | None] = mapped_column(JSON)
    read: Mapped[bool] = mapped_column(Boolean, default=False, server_default="false", index=True)
    dismissed: Mapped[bool] = mapped_column(Boolean, default=False, server_default="false")
    created_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), server_default=func.now(), index=True
    )


class ApiToken(Base, TimestampMixin):
    """A user's token for a machine to reach their Files library with (`app.apitokens`): sent as
    `Authorization: Bearer sfl_…`, honoured on `/api/files` only, and only in the folders its
    grants name. Only the SHA-256 of the token is kept — it is shown once, when it is made — plus
    its first characters (`prefix`), so the user can tell their tokens apart."""

    __tablename__ = "api_tokens"

    id: Mapped[int] = mapped_column(primary_key=True)
    user_id: Mapped[int] = mapped_column(ForeignKey("users.id", ondelete="CASCADE"), index=True)
    name: Mapped[str] = mapped_column(String(80))
    prefix: Mapped[str] = mapped_column(String(16))
    token_hash: Mapped[str] = mapped_column(String(64), unique=True)
    expires_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))  # NULL = never
    last_used_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    # The one notice its user gets before it runs out (`apitokens.warn_expiring`).
    expiry_warned: Mapped[bool] = mapped_column(Boolean, default=False, server_default="false")


class ApiTokenGrant(Base):
    """What one token may do in one folder. A folder with no grant is out of the token's reach."""

    __tablename__ = "api_token_grants"
    __table_args__ = (
        UniqueConstraint("token_id", "folder_id", name="uq_api_token_grant"),
        CheckConstraint(
            "can_list OR can_read OR can_write OR can_delete", name="ck_api_token_grant_some"
        ),
    )

    id: Mapped[int] = mapped_column(primary_key=True)
    token_id: Mapped[int] = mapped_column(ForeignKey("api_tokens.id", ondelete="CASCADE"))
    folder_id: Mapped[int] = mapped_column(
        ForeignKey("file_folders.id", ondelete="CASCADE"), index=True
    )
    can_list: Mapped[bool] = mapped_column(Boolean, default=False, server_default="false")
    can_read: Mapped[bool] = mapped_column(Boolean, default=False, server_default="false")
    can_write: Mapped[bool] = mapped_column(Boolean, default=False, server_default="false")
    can_delete: Mapped[bool] = mapped_column(Boolean, default=False, server_default="false")


# --- Plex integration (optional) -------------------------------------------------------------
# A dedicated, self-contained catalog mirrored from a locally-reachable Plex server. Playback is
# from the LOCAL physical file (Plex is metadata only); per-user watch state lives in plex_states
# so it works for users without a Plex account. Mirrors the app's "shared catalog, private
# per-user state" model. The weighted FTS search_vector uses the same unaccent_simple config as
# `videos` (migrations 0031/0032).


class PlexLibrary(Base, TimestampMixin, UpdatedAtMixin):
    """A mirrored Plex library section. Only `enabled` sections are exposed in the feed.
    `plex_key` is the section id on the Plex server."""

    __tablename__ = "plex_libraries"

    id: Mapped[int] = mapped_column(primary_key=True)
    plex_key: Mapped[str] = mapped_column(String(32), unique=True, index=True)
    title: Mapped[str] = mapped_column(String(255))
    kind: Mapped[str] = mapped_column(String(16))  # "movie" | "show"
    enabled: Mapped[bool] = mapped_column(Boolean, default=True, server_default="true")
    synced_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    # HU-overlay support. `metadata_lang` tags the section's metadata language. An OVERLAY
    # library (overlay_of set) is the Hungarian-metadata twin of another section: it is never browsable
    # on its own — its titles' HU fields are written onto the matched EN rows (paired by `guid`).
    metadata_lang: Mapped[str] = mapped_column(String(8), default="en", server_default="en")
    overlay_of: Mapped[int | None] = mapped_column(
        ForeignKey("plex_libraries.id", ondelete="SET NULL"), index=True
    )


class PlexShow(Base, TimestampMixin, UpdatedAtMixin):
    """A TV show (grandparent of episodes) — holds poster + summary for the drill-down page, plus
    the same filterable metadata as movies (genres/rating/content_rating/studio/people) so the TV
    grid can be filtered/sorted like the movie grid. All mirrored cheaply from the show listing."""

    __tablename__ = "plex_shows"
    __table_args__ = (
        Index("ix_plex_shows_genres_gin", "genres", postgresql_using="gin"),
        Index("ix_plex_shows_directors_gin", "directors", postgresql_using="gin"),
        Index("ix_plex_shows_cast_gin", "cast_names", postgresql_using="gin"),
        Index("ix_plex_shows_genres_hu_gin", "genres_hu", postgresql_using="gin"),
        # ix_plex_shows_collections_gin already created with collections (migration 0047).
    )

    id: Mapped[int] = mapped_column(primary_key=True)
    rating_key: Mapped[str] = mapped_column(String(32), unique=True, index=True)
    library_id: Mapped[int] = mapped_column(
        ForeignKey("plex_libraries.id", ondelete="CASCADE"), index=True
    )
    # Canonical external id (e.g. "tmdb:12345") — the key that pairs this EN row with its HU-overlay
    # twin during sync. Indexed for the guid->row overlay match.
    guid: Mapped[str | None] = mapped_column(String(64), index=True)
    title: Mapped[str] = mapped_column(String(512))
    summary: Mapped[str | None] = mapped_column(Text)
    year: Mapped[int | None] = mapped_column(Integer)
    thumb_key: Mapped[str | None] = mapped_column(
        String(512)
    )  # Plex thumb path (proxied, not stored)
    art_key: Mapped[str | None] = mapped_column(String(512))
    child_count: Mapped[int | None] = mapped_column(Integer)  # seasons
    collection_keys: Mapped[list | None] = mapped_column(
        JSONB(none_as_null=True)
    )  # Plex collections this show is in
    added_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), index=True)
    # Filterable / orderable metadata mirrored from the show section listing (parallels PlexItem).
    rating: Mapped[float | None] = mapped_column(Float, index=True)  # Plex audienceRating (~IMDb)
    content_rating: Mapped[str | None] = mapped_column(String(16), index=True)
    studio: Mapped[str | None] = mapped_column(String(255), index=True)  # network/studio
    originally_available_at: Mapped[Date | None] = mapped_column(Date, index=True)  # first air date
    # none_as_null: an empty tag list must persist as SQL NULL, not JSON `null`. Without it a Python
    # None round-trips as a JSON scalar that jsonb_array_elements_text() can't unnest ("cannot extract
    # elements from a scalar") — the trap a metadata-poor library sprang on /facets. Same on plex_items.
    genres: Mapped[list | None] = mapped_column(JSONB(none_as_null=True))
    directors: Mapped[list | None] = mapped_column(JSONB(none_as_null=True))
    cast_names: Mapped[list | None] = mapped_column(JSONB(none_as_null=True))
    people_text: Mapped[str | None] = mapped_column(
        Text
    )  # cast+directors, folded into search_vector
    # Set once the show's FULL cast has been rich-fetched by the backfill; NULL = still the listing top-3.
    people_enriched_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    # Rich-fetch-only detail fields, persisted by the same backfill that fills the full cast so
    # the info page serves from this row instead of a live plex.metadata() call. NULL until enriched.
    imdb_rating: Mapped[float | None] = mapped_column(
        Float
    )  # IMDb-specific score (vs `rating` = audienceRating)
    imdb_id: Mapped[str | None] = mapped_column(String(16))  # tt… → the clickable IMDb link
    tagline: Mapped[str | None] = mapped_column(Text)
    full_cast: Mapped[list | None] = mapped_column(
        JSONB(none_as_null=True)
    )  # ordered [{name, role, thumb}]
    # --- TMDB enrichment: see the identical block on plex_items for the full rationale. Additive;
    #     served from the row; NULL until enriched. (`budget`/`revenue` stay NULL for shows — TV has none.) ---
    tmdb_id: Mapped[int | None] = mapped_column(Integer)
    tmdb_enriched_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    tmdb_rating: Mapped[float | None] = mapped_column(Float)  # TMDb vote_average (0–10)
    tmdb_vote_count: Mapped[int | None] = mapped_column(Integer)
    budget: Mapped[int | None] = mapped_column(BigInteger)
    revenue: Mapped[int | None] = mapped_column(BigInteger)
    keywords: Mapped[list | None] = mapped_column(JSONB(none_as_null=True))  # [str]
    crew: Mapped[list | None] = mapped_column(
        JSONB(none_as_null=True)
    )  # [{name, job, tmdb_id, thumb}]
    studios: Mapped[list | None] = mapped_column(
        JSONB(none_as_null=True)
    )  # TMDB production companies [str]
    production_countries: Mapped[list | None] = mapped_column(JSONB(none_as_null=True))  # [str]
    recommendations: Mapped[list | None] = mapped_column(JSONB(none_as_null=True))
    backdrops: Mapped[list | None] = mapped_column(JSONB(none_as_null=True))
    # Hungarian-metadata twin fields, written by the overlay sync. NULL = no HU twin matched,
    # so serving falls back to the EN columns. `people_text` is language-neutral, reused for both vectors.
    title_hu: Mapped[str | None] = mapped_column(String(512))
    tagline_hu: Mapped[str | None] = mapped_column(Text)  # the HU overlay's tagline
    summary_hu: Mapped[str | None] = mapped_column(Text)
    genres_hu: Mapped[list | None] = mapped_column(JSONB(none_as_null=True))
    search_vector: Mapped[object | None] = mapped_column(
        TSVECTOR,
        Computed(
            "setweight(to_tsvector('public.unaccent_simple', coalesce(title, '')), 'A') || "
            "setweight(to_tsvector('public.unaccent_simple', coalesce(people_text, '')), 'B') || "
            "setweight(to_tsvector('public.unaccent_simple', left(coalesce(summary, ''), 1000)), 'C')",
            persisted=True,
        ),
    )
    search_vector_hu: Mapped[object | None] = mapped_column(
        TSVECTOR,
        Computed(
            "setweight(to_tsvector('public.unaccent_simple', coalesce(title_hu, '')), 'A') || "
            "setweight(to_tsvector('public.unaccent_simple', coalesce(people_text, '')), 'B') || "
            "setweight(to_tsvector('public.unaccent_simple', left(coalesce(summary_hu, ''), 1000)), 'C')",
            persisted=True,
        ),
    )


class PlexSeason(Base, TimestampMixin, UpdatedAtMixin):
    """A season under a show — used to order episodes for prev/next stepping."""

    __tablename__ = "plex_seasons"

    id: Mapped[int] = mapped_column(primary_key=True)
    rating_key: Mapped[str] = mapped_column(String(32), unique=True, index=True)
    show_id: Mapped[int] = mapped_column(
        ForeignKey("plex_shows.id", ondelete="CASCADE"), index=True
    )
    title: Mapped[str | None] = mapped_column(String(255))
    season_number: Mapped[int | None] = mapped_column(Integer, index=True)
    thumb_key: Mapped[str | None] = mapped_column(String(512))


class PlexItem(Base, TimestampMixin, UpdatedAtMixin):
    """A playable LEAF — a movie or a single episode. This is what the feed lists and the player
    plays. Movies carry `library_id` and no parents; episodes carry show/season refs +
    season/episode numbers. `file_path` is the Plex-side absolute path of the physical media,
    mapped through `plex_path_map` to a local mount at playback time. `playable` is the
    ffprobe-derived browser-compatibility class (direct | remux | transcode)."""

    __tablename__ = "plex_items"
    __table_args__ = (
        Index("ix_plex_items_show_order", "show_id", "season_number", "episode_number"),
        Index("ix_plex_items_genres_gin", "genres", postgresql_using="gin"),
        Index("ix_plex_items_directors_gin", "directors", postgresql_using="gin"),
        Index("ix_plex_items_cast_gin", "cast_names", postgresql_using="gin"),
        Index("ix_plex_items_collections_gin", "collection_keys", postgresql_using="gin"),
        Index("ix_plex_items_genres_hu_gin", "genres_hu", postgresql_using="gin"),
    )

    id: Mapped[int] = mapped_column(primary_key=True)
    rating_key: Mapped[str] = mapped_column(String(32), unique=True, index=True)
    library_id: Mapped[int] = mapped_column(
        ForeignKey("plex_libraries.id", ondelete="CASCADE"), index=True
    )
    kind: Mapped[str] = mapped_column(String(16), index=True)  # "movie" | "episode"
    # Canonical external id (e.g. "tmdb:12345") — pairs a MOVIE row with its HU-overlay twin during
    # sync; indexed for the guid->row match. Episodes carry it too but it's unused for them.
    guid: Mapped[str | None] = mapped_column(String(64), index=True)
    show_id: Mapped[int | None] = mapped_column(
        ForeignKey("plex_shows.id", ondelete="CASCADE"), index=True
    )
    season_id: Mapped[int | None] = mapped_column(
        ForeignKey("plex_seasons.id", ondelete="CASCADE"), index=True
    )
    season_number: Mapped[int | None] = mapped_column(Integer)
    episode_number: Mapped[int | None] = mapped_column(Integer)
    title: Mapped[str] = mapped_column(String(512))
    summary: Mapped[str | None] = mapped_column(Text)
    year: Mapped[int | None] = mapped_column(Integer)
    duration_s: Mapped[int | None] = mapped_column(Integer)
    thumb_key: Mapped[str | None] = mapped_column(String(512))
    art_key: Mapped[str | None] = mapped_column(String(512))
    cast: Mapped[list | None] = mapped_column(JSON)  # [role names]
    # Physical media (from the Plex Part).
    file_path: Mapped[str | None] = mapped_column(Text)  # Plex-side absolute path
    part_key: Mapped[str | None] = mapped_column(String(255))  # /library/parts/... (fallback fetch)
    container: Mapped[str | None] = mapped_column(String(16))
    codec_video: Mapped[str | None] = mapped_column(String(32))
    codec_audio: Mapped[str | None] = mapped_column(String(32))
    size_bytes: Mapped[int | None] = mapped_column(BigInteger)
    # Browser-playability class from ffprobe: "direct" | "remux" | "transcode" (None = unprobed).
    playable: Mapped[str | None] = mapped_column(String(12), index=True)
    probed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    # Transcode HW-capability facet (the playback-class filter). NULL for non-transcode items; for a
    # `playable="transcode"` item: True = the prod iGPU can hardware-transcode it (codec is HW-decodable
    # AND the source is 8-bit SDR), False = software libx264 only (AV1/XviD, or a 10-bit/HDR source that
    # breaks the VAAPI nv12 pipeline — see plex/stream.py). Derived by `plex.sync.transcode_hw_capable`:
    # set codec-only at sync (bit depth unknown from the cheap listing), then refined by the bit-depth
    # backfill (`_probe_media_batch`) which downgrades a 10-bit/HDR HEVC to False. The one filterable
    # home of the invariant `_want_hw`'s source gate computes at play time — kept in sync via the shared
    # classifier so the catalog facet and the runtime encoder choice never disagree by codec.
    transcode_hw: Mapped[bool | None] = mapped_column(Boolean, index=True)
    # Video bit depth (8/10/12…) from the Plex media Stream, filled by the bit-depth backfill. NULL =
    # not yet probed. Surfaced on the info page (e.g. "HEVC · 10-bit") and feeds `transcode_hw`.
    video_bit_depth: Mapped[int | None] = mapped_column(Integer)
    # Watermark for the bit-depth backfill: when this item's media Stream was last probed for
    # bit-depth/HDR. NULL = never (the backfill's work-list). Only HW-decodable transcode items are
    # probed (the rest are SW-only by codec and need no bit-depth); see `_probe_media_batch`.
    media_probed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    added_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), index=True)
    # Filterable / orderable metadata mirrored from the Plex section listing (no extra API calls;
    # `rating` = Plex audienceRating, which is ~the IMDb score). The arrays back genre/person/studio
    # filters (GIN-indexed) and double as content signals for a future watch-habit recommender.
    rating: Mapped[float | None] = mapped_column(Float, index=True)
    content_rating: Mapped[str | None] = mapped_column(String(16), index=True)
    studio: Mapped[str | None] = mapped_column(String(255), index=True)
    originally_available_at: Mapped[Date | None] = mapped_column(Date, index=True)
    genres: Mapped[list | None] = mapped_column(JSONB(none_as_null=True))
    directors: Mapped[list | None] = mapped_column(JSONB(none_as_null=True))
    cast_names: Mapped[list | None] = mapped_column(JSONB(none_as_null=True))
    # rating_keys of the Plex collections this movie belongs to (GIN — filter + card-strip siblings).
    collection_keys: Mapped[list | None] = mapped_column(JSONB(none_as_null=True))
    # Cast + director names, space-joined — folded into search_vector (weight B) so the search box
    # finds titles by a person's name (and ranks them above summary-only mentions).
    people_text: Mapped[str | None] = mapped_column(Text)
    # Set once the movie's FULL cast has been rich-fetched by the backfill; NULL = still the listing top-3.
    people_enriched_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    # Rich-fetch-only detail fields, persisted by the same backfill that fills the full cast so
    # the info page serves from this row instead of a live plex.metadata() call. NULL until enriched.
    imdb_rating: Mapped[float | None] = mapped_column(
        Float
    )  # IMDb-specific score (vs `rating` = audienceRating)
    imdb_id: Mapped[str | None] = mapped_column(String(16))  # tt… → the clickable IMDb link
    tagline: Mapped[str | None] = mapped_column(Text)
    full_cast: Mapped[list | None] = mapped_column(
        JSONB(none_as_null=True)
    )  # ordered [{name, role, thumb}]
    # --- TMDB enrichment: matched by the canonical `guid` ("tmdb:12345"), filled by the TMDB
    #     backfill job, SERVED FROM THIS ROW (never a live TMDB call). Additive — imdb_rating/rating
    #     above stay Plex-sourced; `tmdb_rating` is the distinct TMDb community score. NULL until enriched;
    #     `tmdb_enriched_at` is the "tried" watermark (stamped on a definitive no-match too, so an
    #     unresolvable title isn't re-fetched every run; left NULL only on a transient fetch error). ---
    tmdb_id: Mapped[int | None] = mapped_column(Integer)
    tmdb_enriched_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    tmdb_rating: Mapped[float | None] = mapped_column(Float)  # TMDb vote_average (0–10)
    tmdb_vote_count: Mapped[int | None] = mapped_column(Integer)
    budget: Mapped[int | None] = mapped_column(BigInteger)  # USD (movies; TV has none)
    revenue: Mapped[int | None] = mapped_column(BigInteger)
    keywords: Mapped[list | None] = mapped_column(JSONB(none_as_null=True))  # [str]
    crew: Mapped[list | None] = mapped_column(
        JSONB(none_as_null=True)
    )  # [{name, job, tmdb_id, thumb}]
    studios: Mapped[list | None] = mapped_column(
        JSONB(none_as_null=True)
    )  # TMDB production companies [str]
    production_countries: Mapped[list | None] = mapped_column(JSONB(none_as_null=True))  # [str]
    # [{tmdb_id, title, poster, media_type}] — resolved to library rows (by guid) at serve time.
    recommendations: Mapped[list | None] = mapped_column(JSONB(none_as_null=True))
    backdrops: Mapped[list | None] = mapped_column(
        JSONB(none_as_null=True)
    )  # TMDB backdrop file_paths [str] (crossfade pool)
    # Hungarian-metadata twin fields, written by the overlay sync. NULL = no HU twin matched
    # (serving falls back to the EN columns). `people_text` is language-neutral, reused for both vectors.
    title_hu: Mapped[str | None] = mapped_column(String(512))
    tagline_hu: Mapped[str | None] = mapped_column(Text)  # the HU overlay's tagline
    summary_hu: Mapped[str | None] = mapped_column(Text)
    genres_hu: Mapped[list | None] = mapped_column(JSONB(none_as_null=True))
    search_vector: Mapped[object | None] = mapped_column(
        TSVECTOR,
        Computed(
            "setweight(to_tsvector('public.unaccent_simple', coalesce(title, '')), 'A') || "
            "setweight(to_tsvector('public.unaccent_simple', coalesce(people_text, '')), 'B') || "
            "setweight(to_tsvector('public.unaccent_simple', left(coalesce(summary, ''), 1000)), 'C')",
            persisted=True,
        ),
    )
    search_vector_hu: Mapped[object | None] = mapped_column(
        TSVECTOR,
        Computed(
            "setweight(to_tsvector('public.unaccent_simple', coalesce(title_hu, '')), 'A') || "
            "setweight(to_tsvector('public.unaccent_simple', coalesce(people_text, '')), 'B') || "
            "setweight(to_tsvector('public.unaccent_simple', left(coalesce(summary_hu, ''), 1000)), 'C')",
            persisted=True,
        ),
    )


class PlexPerson(Base, TimestampMixin, UpdatedAtMixin):
    """A small cast/crew headshot cache, keyed by name, so person filter-chips (the cards for the
    actors currently in the filter) can show a photo + count without a live per-card metadata fetch.
    Populated opportunistically when an item's RICH metadata is fetched — the info-page view and the
    periodic rich re-sync — since the cheap section listing that drives the main sync only carries the
    top few cast. Rows whose name no longer appears in ANY item's cast_names/directors (a library
    removal orphaned them) are pruned by the maintenance sweep, mirroring how Plex drops orphaned
    metadata. The filterable cast lives in plex_items/plex_shows.cast_names (self-cleaning with the
    row); this table is the people's own facts: the headshot link, the TMDB link and the TMDB bio
    (the headshot FILE lives in the image cache, filled by the people_enrich job)."""

    __tablename__ = "plex_people"

    id: Mapped[int] = mapped_column(primary_key=True)
    name: Mapped[str] = mapped_column(String(255), unique=True, index=True)
    photo_thumb: Mapped[str | None] = mapped_column(Text)  # proxied /person-image URL, or None
    # TMDB person id, linked by name from a title's TMDB credits (the /person
    # biography fetch builds on it). NULL until a TMDB-enriched title names this person.
    tmdb_person_id: Mapped[int | None] = mapped_column(Integer)
    # --- TMDB person enrichment: fetched from /person/{tmdb_person_id} by the people_enrich job,
    #     or by the first person-page open the job hasn't reached, then SERVED FROM THE ROW. `tmdb_enriched_at` is the watermark (set even on a
    #     no-op fetch so it isn't retried every open). `known_for` = top combined-credits [{tmdb_id,
    #     media_type, title}], resolved to library rows by guid at serve time (like recommendations). ---
    biography: Mapped[str | None] = mapped_column(Text)
    # TMDB's Hungarian biography, from the same request's `translations`; a Hungarian reader is
    # served it, and the instance-language `biography` when TMDB has none. Birthplace, aliases and
    # keywords have no Hungarian on TMDB, so they stay in the instance language.
    biography_hu: Mapped[str | None] = mapped_column(Text)
    birthday: Mapped[str | None] = mapped_column(String(10))  # "YYYY-MM-DD", served as-is
    deathday: Mapped[str | None] = mapped_column(String(10))
    place_of_birth: Mapped[str | None] = mapped_column(Text)
    known_for_department: Mapped[str | None] = mapped_column(String(64))
    also_known_as: Mapped[list | None] = mapped_column(JSONB(none_as_null=True))  # [str]
    known_for: Mapped[list | None] = mapped_column(
        JSONB(none_as_null=True)
    )  # [{tmdb_id, media_type, title}]
    tmdb_enriched_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))


class PlexCollection(Base, TimestampMixin, UpdatedAtMixin):
    """A mirrored Plex collection (a grouping of movies or shows — franchises like Avatar, curated
    sets like MCU, or auto/community lists like IMDb Top 250). Mirrored in full by the background
    sync so reads never hit Plex's slow collection queries. Membership is stored as `collection_keys`
    on the member movies (plex_items) / shows (plex_shows). `smart` = Plex's query-based flag;
    `editable` = we may write changes back to Plex (default False = read-only; set for curated ones)."""

    __tablename__ = "plex_collections"

    id: Mapped[int] = mapped_column(primary_key=True)
    rating_key: Mapped[str] = mapped_column(String(32), unique=True, index=True)
    library_id: Mapped[int] = mapped_column(
        ForeignKey("plex_libraries.id", ondelete="CASCADE"), index=True
    )
    title: Mapped[str] = mapped_column(String(512))
    summary: Mapped[str | None] = mapped_column(Text)
    thumb_key: Mapped[str | None] = mapped_column(String(512))
    child_count: Mapped[int | None] = mapped_column(Integer)
    smart: Mapped[bool] = mapped_column(Boolean, default=False, server_default="false")
    editable: Mapped[bool] = mapped_column(Boolean, default=False, server_default="false")
    synced_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))


class PlexState(Base, UpdatedAtMixin):
    """Per-user watch state for a Plex item — mirrors VideoState. Lives in Siftlode's own DB so
    it works for users WITHOUT a Plex account (the whole point of the access-layer design).
    `synced_to_plex` marks whether this state was pushed back to a linked Plex account."""

    __tablename__ = "plex_states"
    __table_args__ = (UniqueConstraint("user_id", "item_id", name="uq_plex_user_item"),)

    id: Mapped[int] = mapped_column(primary_key=True)
    user_id: Mapped[int] = mapped_column(ForeignKey("users.id", ondelete="CASCADE"))
    item_id: Mapped[int] = mapped_column(
        ForeignKey("plex_items.id", ondelete="CASCADE"), index=True
    )
    status: Mapped[str] = mapped_column(String(12), default="new", server_default="new")
    position_seconds: Mapped[int] = mapped_column(
        Integer, default=0, server_default="0", nullable=False
    )
    watched_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    progress_updated_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    synced_to_plex: Mapped[bool] = mapped_column(Boolean, default=False, server_default="false")


class PlexLink(Base, UpdatedAtMixin):
    """Links a Siftlode user to a Plex account for two-way watch-state sync (one row per user).

    For the owner (the MVP scope) the row uses the server's admin token — `uses_admin=True`,
    `plex_token_enc=None` — so no separate Plex login is needed; the admin token already reads/writes
    the owner account's watch state. `plex_account_id` is that Plex account's numeric id, used to
    filter the shared watch-history feed to this user (Phase C). Reserved for later: a friend can link
    their OWN Plex account via PIN OAuth, storing a personal `plex_token_enc` (uses_admin=False) — the
    sync loop then iterates link rows uniformly.

    `initial_import_done` guards the one-time "Plex is master" import; `last_watch_sync_at` is the
    high-water mark for the incremental Plex→Siftlode pass."""

    __tablename__ = "plex_link"

    id: Mapped[int] = mapped_column(primary_key=True)
    user_id: Mapped[int] = mapped_column(
        ForeignKey("users.id", ondelete="CASCADE"), unique=True, index=True
    )
    uses_admin: Mapped[bool] = mapped_column(Boolean, default=True, server_default="true")
    plex_token_enc: Mapped[str | None] = mapped_column(Text)  # P5b friend tokens (encrypted)
    plex_account_id: Mapped[int | None] = mapped_column(Integer)
    plex_username: Mapped[str | None] = mapped_column(String(255))
    sync_enabled: Mapped[bool] = mapped_column(Boolean, default=False, server_default="false")
    initial_import_done: Mapped[bool] = mapped_column(
        Boolean, default=False, server_default="false"
    )
    last_watch_sync_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
    linked_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))


class PlexPlaylist(Base, TimestampMixin, UpdatedAtMixin):
    """A per-user ORDERED watch-list of Plex items — Siftlode-native (lives in our own DB, works for
    users WITHOUT a Plex account, like plex_states). Unlike collections (shared, library-level), a
    playlist is owned by one user and its items are ordered. Optional Plex-direction sync is a later
    phase (`plex_rating_key` set once pushed back to the owner's Plex account)."""

    __tablename__ = "plex_playlists"

    id: Mapped[int] = mapped_column(primary_key=True)
    user_id: Mapped[int] = mapped_column(ForeignKey("users.id", ondelete="CASCADE"), index=True)
    title: Mapped[str] = mapped_column(String(512))
    plex_rating_key: Mapped[str | None] = mapped_column(String(32))


class PlexPlaylistItem(Base):
    """One ordered entry in a playlist. `position` (0-based) orders playback."""

    __tablename__ = "plex_playlist_items"
    __table_args__ = (UniqueConstraint("playlist_id", "item_id", name="uq_plex_playlist_item"),)

    id: Mapped[int] = mapped_column(primary_key=True)
    playlist_id: Mapped[int] = mapped_column(ForeignKey("plex_playlists.id", ondelete="CASCADE"))
    item_id: Mapped[int] = mapped_column(
        ForeignKey("plex_items.id", ondelete="CASCADE"), index=True
    )
    position: Mapped[int] = mapped_column(Integer, default=0, server_default="0", nullable=False)