dennisthiessen
5d41ccac1c
Closes the action loop — instead of polling the dashboard, the platform pushes actionable signals to Telegram. New hourly 'alerts' job dispatches four toggleable triggers, deduped via a new alert_log table (cooldown-based for qualified/S-R/digest, watermark-based for score deterioration). Admin → Settings gains a Telegram panel (write-only bot token, chat ID, per-trigger toggles, Send Test). Credentials follow DB > env precedence (TELEGRAM_BOT_TOKEN / _CHAT_ID). Backend: alert_service + AlertLog model + migration 005, scheduler job, admin endpoints/schema. Frontend: AlertSettings panel, hooks, api, types. Deploy: run alembic upgrade (new alert_log table). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
92 lines
3.2 KiB
Python
92 lines
3.2 KiB
Python
"""Admin request/response schemas."""
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from typing import Literal
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from pydantic import BaseModel, Field
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class UserManagement(BaseModel):
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"""Schema for user access management."""
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has_access: bool
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class PasswordReset(BaseModel):
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"""Schema for resetting a user's password."""
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new_password: str = Field(..., min_length=6)
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class CreateUserRequest(BaseModel):
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"""Schema for admin-created user accounts."""
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username: str = Field(..., min_length=1)
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password: str = Field(..., min_length=6)
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role: str = Field(default="user", pattern=r"^(user|admin)$")
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has_access: bool = False
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class RegistrationToggle(BaseModel):
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"""Schema for toggling registration on/off."""
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enabled: bool
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class SystemSettingUpdate(BaseModel):
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"""Schema for updating a system setting."""
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value: str = Field(..., min_length=1)
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class DataCleanupRequest(BaseModel):
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"""Schema for data cleanup — delete records older than N days."""
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older_than_days: int = Field(..., gt=0)
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class JobToggle(BaseModel):
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"""Schema for enabling/disabling a scheduled job."""
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enabled: bool
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class RecommendationConfigUpdate(BaseModel):
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high_confidence_threshold: float | None = Field(default=None, ge=0, le=100)
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moderate_confidence_threshold: float | None = Field(default=None, ge=0, le=100)
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confidence_diff_threshold: float | None = Field(default=None, ge=0, le=100)
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signal_alignment_weight: float | None = Field(default=None, ge=0, le=1)
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sr_strength_weight: float | None = Field(default=None, ge=0, le=1)
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momentum_technical_divergence_threshold: float | None = Field(default=None, ge=0, le=100)
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fundamental_technical_divergence_threshold: float | None = Field(default=None, ge=0, le=100)
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class TickerUniverseUpdate(BaseModel):
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universe: Literal["sp500", "nasdaq100", "nasdaq_all"]
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class ActivationConfigUpdate(BaseModel):
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"""Activation gate: what counts as an actionable signal."""
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min_rr: float | None = Field(default=None, ge=0)
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min_confidence: float | None = Field(default=None, ge=0, le=100)
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min_target_probability: float | None = Field(default=None, ge=0, le=100)
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require_high_conviction: bool | None = None
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exclude_conflicts: bool | None = None
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class SentimentConfigUpdate(BaseModel):
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"""Runtime sentiment LLM config. api_key is write-only; omit/empty to keep
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the stored key."""
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provider: Literal["openai", "gemini", "deepseek", "xai", "openai_compatible"] | None = None
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model: str | None = Field(default=None, max_length=100)
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api_key: str | None = Field(default=None, max_length=400)
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base_url: str | None = Field(default=None, max_length=300)
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class SentimentTestRequest(BaseModel):
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ticker: str = Field(default="AAPL", max_length=10)
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class AlertConfigUpdate(BaseModel):
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"""Telegram alert config. bot_token is write-only; omit/empty to keep the
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stored token."""
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enabled: bool | None = None
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bot_token: str | None = Field(default=None, max_length=200)
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telegram_chat_id: str | None = Field(default=None, max_length=64)
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qualified_enabled: bool | None = None
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sr_proximity_enabled: bool | None = None
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score_drop_enabled: bool | None = None
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digest_enabled: bool | None = None
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