dennisthiessen
c34f3cb1a4
Diagnosing "no qualified signals for 5 days": setups were generated but none qualified. The gate required BOTH a high min_rr (2.0) AND a high min_target_probability (60), which became contradictory after the Jun-15 probability recalibration — probability already embeds R:R via the 1/(rr+1) ruin term, so high-R:R targets are inherently low-probability and nothing cleared both. Gate is now expected value (R): p*rr - (1-p) from the primary target's probability. R:R and confidence stay as floors; high-conviction / exclude-conflicts / min-target-probability become optional tighteners (default off). Defaults: min_expected_value=0.15, min_rr=1.2, min_confidence=55. EV is only enforced when computable. Migration 009 clears stored activation_* rows so the new defaults apply. Backtest sweeps min_expected_value instead of target probability. Scheduling: pipelines are now cron-configurable in Admin -> Jobs. daily_pipeline (full, default 0 7 * * *) plus a new light intraday_pipeline (OHLCV + outcome eval, default hourly US session) that keeps prices/live-R:R current without setup churn. Fundamentals on its own early weekly cron. Timezone configurable (default Europe/Berlin). Moving interval->CronTrigger also fixes the restart-deferral bug where an interval job's countdown resets on every process restart. 319 backend unit tests pass; frontend tsc clean. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
102 lines
3.7 KiB
Python
102 lines
3.7 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_expected_value: float | None = Field(default=None, ge=-1, le=10)
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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 ScheduleConfigUpdate(BaseModel):
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"""Cron schedule for the pipelines + fundamentals. Crons are 5-field
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(min hour dom month dow); timezone is an IANA name (e.g. Europe/Berlin)."""
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schedule_timezone: str | None = Field(default=None, max_length=64)
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schedule_daily_pipeline_cron: str | None = Field(default=None, max_length=120)
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schedule_intraday_pipeline_cron: str | None = Field(default=None, max_length=120)
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schedule_fundamentals_cron: str | None = Field(default=None, max_length=120)
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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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