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from __future__ import annotations
import enum
from datetime import datetime
from typing import List, Optional
from sqlalchemy import (
String,
Integer,
Boolean,
DateTime,
Text,
ForeignKey,
Enum,
Index,
func,
Float,
)
from sqlalchemy.ext.asyncio import AsyncAttrs
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column, relationship
class Base(AsyncAttrs, DeclarativeBase):
pass
class BotStatus(str, enum.Enum):
PENDING = "pending" # configured but not deployed
BUILDING = "building" # HF Space building
STARTING = "starting" # subprocess spawning
RUNNING = "running" # active and healthy
STOPPED = "stopped" # manually paused
ERROR = "error" # deployment or runtime error
SLEEPING = "sleeping" # HF Space free-tier sleep
class DeploymentMode(str, enum.Enum):
"""How the bot is hosted."""
MULTITENANT = "multitenant" # subprocess in a HostSpace
LEGACY_SPACE = "legacy_space" # one-bot-per-HF-Space (old model)
class SpaceStatus(str, enum.Enum):
PROVISIONING = "provisioning" # HF repo creation in flight
PENDING_APPROVAL = "pending_approval" # row exists, awaiting admin OK to create HF repo
READY = "ready"
ERROR = "error"
DRAINING = "draining"
# User plan tier \u2014 used by the allocator to pick which pool of
# HostSpaces a bot can run on. Free and paid bots never share a Space.
PLAN_TIER_FREE = "free"
PLAN_TIER_PAID = "paid"
PLAN_TIERS: tuple[str, ...] = (PLAN_TIER_FREE, PLAN_TIER_PAID)
# Bot lifecycle states relative to where its source code lives.
SPACE_STATE_ON_DATASET = "on_dataset" # only HF dataset has a copy
SPACE_STATE_PENDING_MATERIALIZE = "pending_materialize"
SPACE_STATE_ON_SPACE = "on_space" # Space has a working copy + proc running
SPACE_STATE_ON_SPACE_KEPT = "on_space_kept" # Space has a copy, proc is stopped
class UserRole(str, enum.Enum):
ADMIN = "admin"
OPERATOR = "operator"
VIEWER = "viewer"
class User(Base):
__tablename__ = "users"
id: Mapped[int] = mapped_column(Integer, primary_key=True)
username: Mapped[str] = mapped_column(String(64), unique=True, nullable=False)
email: Mapped[Optional[str]] = mapped_column(String(255), nullable=True)
password_hash: Mapped[str] = mapped_column(String(255), nullable=False)
role: Mapped[UserRole] = mapped_column(Enum(UserRole), default=UserRole.VIEWER)
is_active: Mapped[bool] = mapped_column(Boolean, default=True)
created_at: Mapped[datetime] = mapped_column(DateTime, default=func.now())
last_login: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
login_attempts: Mapped[int] = mapped_column(Integer, default=0)
locked_until: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
invite_code: Mapped[Optional[str]] = mapped_column(String(64), nullable=True)
totp_secret: Mapped[Optional[str]] = mapped_column(String(64), nullable=True) # future 2FA
# Per-user Fernet key (defense-in-depth: outer encryption layer for
# each user's bot secrets). Stored encrypted by PANEL_ENCRYPTION_KEY
# so even the DB admin can't read it without the panel key, AND
# optionally mirrored to Supabase for cloud backup.
user_key_enc: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
user_key_created_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
user_key_rotated_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
user_key_supabase_synced_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
# ---------------------------------------------------------------
# Plan limits β enforced by the allocator at every bot creation
# or resource resize. The defaults below reflect the new "panel
# on Render, bots on HF Spaces" architecture: each user gets their
# own HF Space sized to fit this plan, panel itself runs on Render
# using ~0.4 CPU / 512 MB.
#
# All values are admin-editable from the admin panel
# (POST /admin/users/{id}/plan). Per-user storage_quota_mb caps
# the working dataset each user can occupy on HF.
# ---------------------------------------------------------------
cpu_quota_cores: Mapped[float] = mapped_column(default=0.4)
ram_quota_mb: Mapped[int] = mapped_column(Integer, default=512)
storage_quota_mb: Mapped[int] = mapped_column(Integer, default=2048)
# Max number of bot instances a user can create under their plan.
# ``0`` means "blocked from creating new bots" (useful for trialing
# an admin-restricted user). Default 4 keeps things sensible.
plan_max_bots: Mapped[int] = mapped_column(Integer, default=4)
# ---------------------------------------------------------------
# Plan tier β picks which pool of HostSpaces the user's bots
# run on. Free and paid bots never share a Space. Admins can flip
# a user between ``PLAN_TIER_FREE`` / ``PLAN_TIER_PAID`` from the
# admin panel; doing so does not retroactively move running bots
# (the next start_bot cycle picks the new tier).
# ---------------------------------------------------------------
plan_tier: Mapped[str] = mapped_column(String(16), default=PLAN_TIER_FREE)
# Soft hint of which HostSpace this user "prefers" (the one their
# dashboard shows). The allocator does NOT bind bots to it β bots
# are placed per-bot by tier-aware packing. Stored only so the UI
# has something tangible to display.
space_id: Mapped[Optional[int]] = mapped_column(
ForeignKey("host_spaces.id"), nullable=True,
)
# relationships
bots: Mapped[List["BotInstance"]] = relationship(
back_populates="owner", cascade="all, delete-orphan", lazy="selectin"
)
audit_logs: Mapped[List["AuditLog"]] = relationship(
back_populates="user", cascade="all, delete-orphan", lazy="selectin"
)
space: Mapped[Optional["HostSpace"]] = relationship(
back_populates="users", foreign_keys=[space_id],
)
class InviteCode(Base):
"""Admin-issued invite code.
Distinct from the legacy per-user ``User.invite_code`` (which every
user gets automatically and can share 1:1). These are created
explicitly from the admin panel, can be reused up to ``max_uses``
times (``0`` = unlimited), optionally expire, and can be revoked
without touching any user row.
"""
__tablename__ = "invite_codes"
id: Mapped[int] = mapped_column(Integer, primary_key=True)
code: Mapped[str] = mapped_column(String(64), unique=True, nullable=False)
label: Mapped[Optional[str]] = mapped_column(String(128), nullable=True)
created_by_id: Mapped[Optional[int]] = mapped_column(ForeignKey("users.id"), nullable=True)
max_uses: Mapped[int] = mapped_column(Integer, default=1) # 0 = unlimited
uses_count: Mapped[int] = mapped_column(Integer, default=0)
is_active: Mapped[bool] = mapped_column(Boolean, default=True)
expires_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
created_at: Mapped[datetime] = mapped_column(DateTime, default=func.now())
created_by: Mapped[Optional[User]] = relationship(foreign_keys=[created_by_id])
redemptions: Mapped[List["InviteRedemption"]] = relationship(
back_populates="invite", cascade="all, delete-orphan", lazy="selectin",
order_by="InviteRedemption.redeemed_at.desc()",
)
@property
def is_exhausted(self) -> bool:
return self.max_uses > 0 and self.uses_count >= self.max_uses
@property
def is_expired(self) -> bool:
return bool(self.expires_at and self.expires_at < datetime.utcnow())
@property
def is_usable(self) -> bool:
return self.is_active and not self.is_exhausted and not self.is_expired
class InviteRedemption(Base):
"""Audit row: which user_id consumed which invite code, and when.
We keep this even after a code is fully consumed so admins can
investigate "who got in with code X?" without cross-referencing
the audit log. ``user_id`` is intentionally NOT a foreign key into
``users`` β a user who later gets deleted still leaves a redemption
record.
"""
__tablename__ = "invite_redemptions"
id: Mapped[int] = mapped_column(Integer, primary_key=True)
invite_id: Mapped[int] = mapped_column(ForeignKey("invite_codes.id"), nullable=False, index=True)
user_id: Mapped[int] = mapped_column(Integer, nullable=False, index=True)
username: Mapped[Optional[str]] = mapped_column(String(64), nullable=True) # denormalised for fast display
redeemed_at: Mapped[datetime] = mapped_column(DateTime, default=func.now())
invite: Mapped[InviteCode] = relationship(back_populates="redemptions")
class HostSpace(Base):
"""A hosting container (HF Space) that hosts the panel and runs user
bot processes.
Capacity model (2026-07-05):
* Capacity is fixed at provisioning time and matched against bot
CPU/RAM usage (NOT user count). A single Space can host many
users' bots as long as their total reserved CPU/RAM stays under
the limit.
* ``baseline_cpu_reserved`` (default 0.1 CPU) is permanently
subtracted from the packable capacity so the orchestrator
inside the Space can always talk back to the control plane
even when every bot is at peak load.
* Rows are created in two ways:
1. The allocator asks for a new Space when no existing one
has room for a bot. The row is inserted in ``PROVISIONING``
and triggers HF API in the background. May also sit in
``PENDING_APPROVAL`` if the panel is configured to require
admin sign-off for new Spaces.
2. Admin manually adds a Space via the admin panel β same
lifecycle but skipping ``PENDING_APPROVAL``.
* All new Spaces must be EITHER auto-approved by config OR
approved manually by an admin in the admin panel; until then
``status != READY`` and the allocator will skip them.
"""
__tablename__ = "host_spaces"
id: Mapped[int] = mapped_column(Integer, primary_key=True)
name: Mapped[str] = mapped_column(String(128), unique=True, nullable=False)
hf_space_url: Mapped[Optional[str]] = mapped_column(String(512), nullable=True)
hf_owner: Mapped[Optional[str]] = mapped_column(String(64), nullable=True)
# --- Tier & approval ---
# Every Space serves exactly one tier. Bots placed by a free-tier
# user only ever land on ``tier == 'free'`` Spaces.
tier: Mapped[str] = mapped_column(String(16), default=PLAN_TIER_FREE)
# Approval flow:
# * ``requested_at`` is set when the row is first inserted by the
# allocator (in PENDING_APPROVAL) or by admin (in PROVISIONING).
# * ``approved_at`` is set once an admin (or the policy) signs off;
# for admin-initiated manual creation the two timestamps will
# be identical (or within a few seconds of each other).
# * ``requested_by_user_id`` is nullable: bot-initiated requests
# leave it NULL, admin-initiated ones store the admin's id.
requested_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
approved_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
approved_by_user_id: Mapped[Optional[int]] = mapped_column(
ForeignKey("users.id"), nullable=True,
)
requested_by_user_id: Mapped[Optional[int]] = mapped_column(
ForeignKey("users.id"), nullable=True,
)
# Free-text operator note ("special tier for X", "migrating from old hardware")
operator_note: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
# Capacity (aggregate hard limits enforced at the HF level).
hardware_tier: Mapped[str] = mapped_column(String(32), default="cpu-basic")
cpu_capacity_cores: Mapped[float] = mapped_column(default=2.0)
ram_capacity_mb: Mapped[int] = mapped_column(Integer, default=16 * 1024)
disk_capacity_mb: Mapped[int] = mapped_column(Integer, default=50 * 1024)
# Permanent CPU/RAM budget reserved for the Space's own orchestrator
# process and control-plane communication. Subtracted from
# capacity at allocation time so no bot reservation can ever
# starve it. Default 0.1 CPU matches orchestrator_overhead_cores
# in the legacy 5-user model; tunable per-Space if a tier wants
# more headroom.
baseline_cpu_reserved: Mapped[float] = mapped_column(default=0.1)
baseline_ram_reserved_mb: Mapped[int] = mapped_column(Integer, default=128)
# Currently committed resources (sum of bot reservations).
# ``cpu_used_cores`` does NOT include ``baseline_cpu_reserved``
# β that's tracked separately to keep the maths clean.
cpu_used_cores: Mapped[float] = mapped_column(default=0.0)
ram_used_mb: Mapped[int] = mapped_column(Integer, default=0)
disk_used_mb: Mapped[int] = mapped_column(Integer, default=0)
status: Mapped[SpaceStatus] = mapped_column(
Enum(SpaceStatus), default=SpaceStatus.PROVISIONING,
)
is_local: Mapped[bool] = mapped_column(Boolean, default=False) # is THIS Space the running panel?
last_healthcheck: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
created_at: Mapped[datetime] = mapped_column(DateTime, default=func.now())
users: Mapped[List[User]] = relationship(
back_populates="space", foreign_keys=[User.space_id],
)
bots: Mapped[List["BotInstance"]] = relationship(
back_populates="space", foreign_keys="BotInstance.space_id",
)
@property
def packable_cpu(self) -> float:
"""CPU available for placing bots. Subtracts baseline."""
return max(0.0, float(self.cpu_capacity_cores) - float(self.baseline_cpu_reserved or 0.0))
@property
def packable_ram_mb(self) -> int:
"""RAM available for placing bots. Subtracts baseline."""
return max(0, int(self.ram_capacity_mb) - int(self.baseline_ram_reserved_mb or 0))
@property
def free_cpu(self) -> float:
return max(0.0, self.packable_cpu - float(self.cpu_used_cores or 0.0))
@property
def free_ram_mb(self) -> int:
return max(0, self.packable_ram_mb - int(self.ram_used_mb or 0))
class BotInstance(Base):
__tablename__ = "bot_instances"
id: Mapped[int] = mapped_column(Integer, primary_key=True)
owner_id: Mapped[int] = mapped_column(ForeignKey("users.id"), nullable=False)
name: Mapped[str] = mapped_column(String(128), nullable=False)
slug: Mapped[str] = mapped_column(String(128), unique=True, nullable=False)
description: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
status: Mapped[BotStatus] = mapped_column(Enum(BotStatus), default=BotStatus.PENDING)
created_at: Mapped[datetime] = mapped_column(DateTime, default=func.now())
updated_at: Mapped[datetime] = mapped_column(DateTime, default=func.now(), onupdate=func.now())
last_healthcheck: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
healthcheck_url: Mapped[Optional[str]] = mapped_column(String(512), nullable=True)
# ---------------------------------------------------------------
# Source code β required. The panel deploys *whatever* lives in
# this repo to the bot's HF Space; it doesn't ship any code itself.
# ---------------------------------------------------------------
source_repo: Mapped[str] = mapped_column(String(256), nullable=False, default="")
source_type: Mapped[str] = mapped_column(String(16), default="hf") # "hf" | "github"
framework: Mapped[str] = mapped_column(String(64), default="docker") # hint for UI
entrypoint: Mapped[Optional[str]] = mapped_column(String(256), nullable=True)
source_branch: Mapped[str] = mapped_column(String(64), default="main")
# ---------------------------------------------------------------
# HF Space config (where the bot actually runs)
# ---------------------------------------------------------------
hf_space_name: Mapped[Optional[str]] = mapped_column(String(128), nullable=True)
hf_space_url: Mapped[Optional[str]] = mapped_column(String(512), nullable=True)
hf_token_enc: Mapped[Optional[str]] = mapped_column(Text, nullable=True) # encrypted, optional
hf_dataset_repo: Mapped[Optional[str]] = mapped_column(String(256), nullable=True) # optional
# ---------------------------------------------------------------
# Telegram bot β optional. Bots that aren't Telegram bots just
# leave this blank; the panel doesn't care.
# ---------------------------------------------------------------
bot_token_enc: Mapped[Optional[str]] = mapped_column(Text, nullable=True) # encrypted, optional
# ---------------------------------------------------------------
# LLM / proxy β optional. Bots that don't need an LLM (or that
# call LLMs directly without a proxy) leave these blank.
# ---------------------------------------------------------------
nvidia_model: Mapped[Optional[str]] = mapped_column(String(128), nullable=True)
render_service_name: Mapped[Optional[str]] = mapped_column(String(128), nullable=True)
render_url: Mapped[Optional[str]] = mapped_column(String(512), nullable=True)
nvidia_api_key_enc: Mapped[Optional[str]] = mapped_column(Text, nullable=True) # encrypted, optional
llm_proxy_token_enc: Mapped[Optional[str]] = mapped_column(Text, nullable=True) # encrypted, optional
# ---------------------------------------------------------------
# Plain env vars stored as JSON string (user-defined, non-secret)
# ---------------------------------------------------------------
env_vars_json: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
# ---------------------------------------------------------------
# Per-bot admin-panel secrets (the four magic fields: login,
# password, secret_word, secret_number). Encrypted at rest with
# the owner's per-user Fernet key + panel key (two-tier).
# ---------------------------------------------------------------
admin_login_enc: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
admin_password_enc: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
secret_word_enc: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
secret_number_enc: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
# ---------------------------------------------------------------
# Hosting mode. The default is ``LEGACY_SPACE`` (one bot = one
# HF Space) β that's the architecture that lets the panel itself
# run on Render while every bot runs on its own HF Space. The
# ``MULTITENANT`` mode (subprocess inside a HostSpace) is kept for
# local development and historical installs, but new bot creation
# always picks LEGACY_SPACE so a Render-hosted panel never tries
# to spawn a subprocess on a host that can't honour it.
# ---------------------------------------------------------------
deployment_mode: Mapped[DeploymentMode] = mapped_column(
Enum(DeploymentMode), default=DeploymentMode.LEGACY_SPACE,
)
space_id: Mapped[Optional[int]] = mapped_column(
ForeignKey("host_spaces.id"), nullable=True,
)
port: Mapped[Optional[int]] = mapped_column(Integer, nullable=True)
pid: Mapped[Optional[int]] = mapped_column(Integer, nullable=True)
# ---------------------------------------------------------------
# Where the bot's source code lives right now:
# * ``on_dataset`` β only the central HF dataset has a copy,
# no Space has materialized it. The bot's
# canonical state lives in the dataset.
# * ``pending_materialize`` β start_bot triggered a transfer
# from dataset to Space; not yet done.
# * ``on_space`` β a copy has been written to the Space's
# working dir, the subprocess is using it.
# * ``on_space_kept`` β bot is stopped but the on-Space copy was
# kept so the next start is instant. The
# dataset remains the source of truth.
# Helps the runner decide whether to copy files before starting.
# ---------------------------------------------------------------
space_state: Mapped[str] = mapped_column(String(32), default="on_dataset")
# User's chosen resource slice; bounded by owner's quota and the
# assigned Space's capacity. ``None`` for legacy bots.
cpu_cores: Mapped[Optional[float]] = mapped_column(default=0.1)
ram_mb: Mapped[Optional[int]] = mapped_column(Integer, default=256)
storage_used_mb: Mapped[int] = mapped_column(Integer, default=0)
# --- relationships ---
owner: Mapped[User] = relationship(back_populates="bots")
space: Mapped[Optional[HostSpace]] = relationship(
back_populates="bots", foreign_keys=[space_id],
)
deployment_logs: Mapped[List["DeploymentLog"]] = relationship(
back_populates="bot", cascade="all, delete-orphan", lazy="selectin",
order_by="DeploymentLog.created_at.desc()",
)
snapshots: Mapped[List["BotSnapshot"]] = relationship(
back_populates="bot", cascade="all, delete-orphan", lazy="selectin",
order_by="BotSnapshot.created_at.desc()",
)
@property
def display_name(self) -> str:
return self.name or self.slug
@property
def has_telegram(self) -> bool:
return bool(self.bot_token_enc)
@property
def has_proxy(self) -> bool:
return bool(self.render_url)
class DeploymentLog(Base):
__tablename__ = "deployment_logs"
id: Mapped[int] = mapped_column(Integer, primary_key=True)
bot_id: Mapped[int] = mapped_column(ForeignKey("bot_instances.id"), nullable=False)
action: Mapped[str] = mapped_column(String(64), nullable=False) # deploy, stop, restart, delete, config_update
status: Mapped[str] = mapped_column(String(32), default="pending") # pending, success, failed
message: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
details_json: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
created_at: Mapped[datetime] = mapped_column(DateTime, default=func.now())
bot: Mapped[BotInstance] = relationship(back_populates="deployment_logs")
class BotSnapshot(Base):
__tablename__ = "bot_snapshots"
id: Mapped[int] = mapped_column(Integer, primary_key=True)
bot_id: Mapped[int] = mapped_column(ForeignKey("bot_instances.id"), nullable=False)
snapshot_path: Mapped[str] = mapped_column(String(512), nullable=False)
size_bytes: Mapped[Optional[int]] = mapped_column(Integer, nullable=True)
created_at: Mapped[datetime] = mapped_column(DateTime, default=func.now())
restored_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
bot: Mapped[BotInstance] = relationship(back_populates="snapshots")
class AuditLog(Base):
__tablename__ = "audit_logs"
id: Mapped[int] = mapped_column(Integer, primary_key=True)
user_id: Mapped[Optional[int]] = mapped_column(ForeignKey("users.id"), nullable=True)
action: Mapped[str] = mapped_column(String(64), nullable=False)
target_type: Mapped[Optional[str]] = mapped_column(String(32), nullable=True) # bot, user, config
target_id: Mapped[Optional[int]] = mapped_column(Integer, nullable=True)
details_json: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
ip_address: Mapped[Optional[str]] = mapped_column(String(64), nullable=True)
user_agent: Mapped[Optional[str]] = mapped_column(String(512), nullable=True)
created_at: Mapped[datetime] = mapped_column(DateTime, default=func.now())
user: Mapped[Optional[User]] = relationship(back_populates="audit_logs")
class GlobalConfig(Base):
__tablename__ = "global_config"
id: Mapped[int] = mapped_column(Integer, primary_key=True)
key: Mapped[str] = mapped_column(String(128), unique=True, nullable=False)
value: Mapped[str] = mapped_column(Text, nullable=False)
updated_at: Mapped[datetime] = mapped_column(DateTime, default=func.now(), onupdate=func.now())
updated_by: Mapped[Optional[int]] = mapped_column(ForeignKey("users.id"), nullable=True)
# ---------------------------------------------------------------------------
# Ad banners (added 2026-07-05)
# ---------------------------------------------------------------------------
#
# Admin-managed marketing banners that render as a responsive carousel
# on the dashboard, login, and register pages. Each banner ships with
# TWO image URLs \u2014 one for desktop, one for mobile \u2014 picked at
# render time by CSS ``<source media=...>`` rules. Click on a banner
# navigates the user to ``link_url`` (admin-set; opens in a new tab).
#
# Lifecycle:
# * ``active`` \u2014 admin can disable without deleting the row.
# * ``position`` \u2014 "dashboard", "login_register", or "all".
# * ``order`` \u2014 float; lower first. Lets admin re-order with a
# single ``POST /admin/banners/reorder`` call.
# * ``created_by_user_id`` \u2014 audit trail; admin who first added the row.
AD_BANNER_POSITION_DASHBOARD = "dashboard"
AD_BANNER_POSITION_LOGIN_REGISTER = "login_register"
AD_BANNER_POSITION_ALL = "all"
AD_BANNER_POSITIONS: tuple[str, ...] = (
AD_BANNER_POSITION_DASHBOARD,
AD_BANNER_POSITION_LOGIN_REGISTER,
AD_BANNER_POSITION_ALL,
)
class AdBanner(Base):
__tablename__ = "ad_banners"
id: Mapped[int] = mapped_column(Integer, primary_key=True)
# Display label (used in admin table + ``alt`` attribute).
name: Mapped[str] = mapped_column(String(128), nullable=False)
# Where the user lands after clicking. Stored as raw URL; admin
# must validate it on entry (route layer rejects non-http(s)).
link_url: Mapped[str] = mapped_column(String(2048), nullable=False)
# Two images \u2014 desktop (>=768px viewport) and mobile (<768px).
# Both are remote URLs (admin pastes the link; no upload pipeline).
desktop_image_url: Mapped[str] = mapped_column(String(2048), nullable=False)
mobile_image_url: Mapped[str] = mapped_column(String(2048), nullable=False)
# Optional overlay text shown above the image.
title: Mapped[Optional[str]] = mapped_column(String(256), nullable=True)
description: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
# ``accent_color`` lets admins tint the title bar / dot indicator;
# falls back to panel's --accent CSS variable when blank.
accent_color: Mapped[Optional[str]] = mapped_column(String(16), nullable=True)
# Placement
position: Mapped[str] = mapped_column(
String(32), default=AD_BANNER_POSITION_ALL,
)
# Lower-first ordering; admin can re-order via /admin/banners/reorder.
order: Mapped[float] = mapped_column(default=100.0)
# Soft-disable without deleting the row.
active: Mapped[bool] = mapped_column(Boolean, default=True)
# Audit
created_by_user_id: Mapped[Optional[int]] = mapped_column(
ForeignKey("users.id"), nullable=True,
)
created_at: Mapped[datetime] = mapped_column(DateTime, default=func.now())
updated_at: Mapped[datetime] = mapped_column(
DateTime, default=func.now(), onupdate=func.now(),
)
@property
def display_title(self) -> str:
return self.title or self.name
# ---------------------------------------------------------------------------
# Analytics & Alerts (added 2026-07-03)
# ---------------------------------------------------------------------------
#
# Two related concepts:
#
# 1. ``AlertRule`` β a stored predicate the evaluator loop wakes up
# every N seconds and checks against current bot / cluster state.
# When the rule fires we dispatch to the configured channel
# (Telegram / webhook / both), record an ``AlertEvent`` and respect
# the per-rule cooldown so the channel isn't spammed.
#
# 2. ``AlertEvent`` β an immutable record of one fired rule. Used for
# the alerts log on /admin/alerts and for in-product counters.
#
# The actual *timeseries* metrics (proxy traffic per hour, bot
# upload/download per hour) are computed on demand from ``AuditLog``
# β see ``analytics.py``. No rollup table needed because ``AuditLog``
# is already write-through to the HF Dataset and a single GROUP BY
# over a 30-day window is cheap (well under 100k rows on the busiest
# panel we've seen).
# ---------------------------------------------------------------------------
class AlertMetric(str, enum.Enum):
"""What the rule measures."""
BOT_RAM_MB = "bot_ram_mb" # RSS in MB; live from bot_runner
BOT_CPU_PERCENT = "bot_cpu_percent" # live from bot_runner
BOT_STATUS = "bot_status" # equality check on BotStatus
ERROR_RATE_PERCENT = "error_rate" # 5xx / total proxy requests in window
PROXY_LATENCY_P95_MS = "latency_p95" # p95 of proxy_request latency_ms
PROXY_RPM = "proxy_rpm" # requests-per-minute over the window
HOST_RAM_PERCENT = "host_ram_percent"
HOST_CPU_PERCENT = "host_cpu_percent"
class AlertOperator(str, enum.Enum):
GT = ">"
GTE = ">="
LT = "<"
LTE = "<="
EQ = "=="
NE = "!="
class AlertSeverity(str, enum.Enum):
INFO = "info"
WARNING = "warning"
CRITICAL = "critical"
class AlertChannel(str, enum.Enum):
TELEGRAM = "telegram"
WEBHOOK = "webhook"
BOTH = "both"
class AlertRule(Base):
__tablename__ = "alert_rules"
id: Mapped[int] = mapped_column(Integer, primary_key=True)
# Display + ownership
name: Mapped[str] = mapped_column(String(128), nullable=False)
description: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
created_by_id: Mapped[Optional[int]] = mapped_column(ForeignKey("users.id"), nullable=True)
# Scope: ``None`` = applies to every bot (cluster-wide); a bot_id
# means "only this bot". Rules that don't make sense per-bot
# (host_*) implicitly require bot_id IS NULL.
bot_id: Mapped[Optional[int]] = mapped_column(
ForeignKey("bot_instances.id", ondelete="CASCADE"), nullable=True, index=True,
)
# The predicate
metric: Mapped[AlertMetric] = mapped_column(Enum(AlertMetric), nullable=False)
operator: Mapped[AlertOperator] = mapped_column(Enum(AlertOperator), nullable=False)
threshold: Mapped[float] = mapped_column(Float, nullable=False)
# Rolling evaluation window in minutes. 5β60 typical.
window_minutes: Mapped[int] = mapped_column(Integer, default=5)
# Delivery
severity: Mapped[AlertSeverity] = mapped_column(
Enum(AlertSeverity), default=AlertSeverity.WARNING
)
channel: Mapped[AlertChannel] = mapped_column(
Enum(AlertChannel), default=AlertChannel.TELEGRAM
)
telegram_chat_id: Mapped[Optional[str]] = mapped_column(String(64), nullable=True)
webhook_url: Mapped[Optional[str]] = mapped_column(String(512), nullable=True)
# Lifecycle
is_active: Mapped[bool] = mapped_column(Boolean, default=True)
cooldown_minutes: Mapped[int] = mapped_column(Integer, default=15)
last_fired_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
last_value: Mapped[Optional[float]] = mapped_column(Float, nullable=True)
fire_count: Mapped[int] = mapped_column(Integer, default=0)
created_at: Mapped[datetime] = mapped_column(DateTime, default=func.now())
updated_at: Mapped[datetime] = mapped_column(DateTime, default=func.now(), onupdate=func.now())
events: Mapped[List["AlertEvent"]] = relationship(
back_populates="rule", cascade="all, delete-orphan", lazy="selectin",
order_by="AlertEvent.fired_at.desc()",
)
created_by: Mapped[Optional[User]] = relationship(foreign_keys=[created_by_id])
bot: Mapped[Optional[BotInstance]] = relationship(foreign_keys=[bot_id])
__table_args__ = (
Index("ix_alert_rules_metric_active", "metric", "is_active"),
)
def in_cooldown(self, now: Optional[datetime] = None) -> bool:
"""True if the rule has fired recently enough to suppress the next dispatch."""
if not self.last_fired_at or self.cooldown_minutes <= 0:
return False
now = now or datetime.utcnow()
elapsed_min = (now - self.last_fired_at).total_seconds() / 60.0
return elapsed_min < self.cooldown_minutes
class AlertEvent(Base):
__tablename__ = "alert_events"
id: Mapped[int] = mapped_column(Integer, primary_key=True)
rule_id: Mapped[int] = mapped_column(
ForeignKey("alert_rules.id", ondelete="CASCADE"), nullable=False, index=True,
)
bot_id: Mapped[Optional[int]] = mapped_column(
ForeignKey("bot_instances.id", ondelete="SET NULL"), nullable=True, index=True,
)
fired_at: Mapped[datetime] = mapped_column(DateTime, default=func.now(), index=True)
metric_value: Mapped[float] = mapped_column(Float, nullable=False)
metric_label: Mapped[str] = mapped_column(String(64), nullable=False)
severity: Mapped[AlertSeverity] = mapped_column(Enum(AlertSeverity), nullable=False)
# The rendered message that went out (or would have) β handy in the
# alerts log so the admin can see "what was sent" without having
# to query Telegram.
message: Mapped[str] = mapped_column(Text, nullable=False)
# JSON: {"telegram": "sent"|"skipped"|"failed: ...", "webhook": ...}
delivery_json: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
rule: Mapped[AlertRule] = relationship(back_populates="events")
bot: Mapped[Optional[BotInstance]] = relationship(foreign_keys=[bot_id])
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