dennisthiessen
6da65b8d8f
Admin-configurable thresholds (min R:R, default 2.0; min confidence, default 70%) defining what counts as an actionable signal: - Admin Settings: new Activation Thresholds panel (GET/PUT /admin/settings/activation) - GET /trades/activation exposes values to all users with access - Signals/Setups: filters initialize from activation values - Track Record: "Qualified signals only" toggle (default on) via min_rr/min_confidence params on /trades/performance; the confidence breakdown always covers the full population so the thresholds can be validated against outcomes - Dashboard: "Qualified" metric and qualified-first Top Setups - Outcome evaluator unchanged: every setup is still evaluated Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
65 lines
2.1 KiB
Python
65 lines
2.1 KiB
Python
"""Admin request/response schemas."""
|
|
|
|
from typing import Literal
|
|
|
|
from pydantic import BaseModel, Field
|
|
|
|
|
|
class UserManagement(BaseModel):
|
|
"""Schema for user access management."""
|
|
has_access: bool
|
|
|
|
|
|
class PasswordReset(BaseModel):
|
|
"""Schema for resetting a user's password."""
|
|
new_password: str = Field(..., min_length=6)
|
|
|
|
|
|
class CreateUserRequest(BaseModel):
|
|
"""Schema for admin-created user accounts."""
|
|
username: str = Field(..., min_length=1)
|
|
password: str = Field(..., min_length=6)
|
|
role: str = Field(default="user", pattern=r"^(user|admin)$")
|
|
has_access: bool = False
|
|
|
|
|
|
class RegistrationToggle(BaseModel):
|
|
"""Schema for toggling registration on/off."""
|
|
enabled: bool
|
|
|
|
|
|
class SystemSettingUpdate(BaseModel):
|
|
"""Schema for updating a system setting."""
|
|
value: str = Field(..., min_length=1)
|
|
|
|
|
|
class DataCleanupRequest(BaseModel):
|
|
"""Schema for data cleanup — delete records older than N days."""
|
|
older_than_days: int = Field(..., gt=0)
|
|
|
|
|
|
class JobToggle(BaseModel):
|
|
"""Schema for enabling/disabling a scheduled job."""
|
|
enabled: bool
|
|
|
|
|
|
class RecommendationConfigUpdate(BaseModel):
|
|
high_confidence_threshold: float | None = Field(default=None, ge=0, le=100)
|
|
moderate_confidence_threshold: float | None = Field(default=None, ge=0, le=100)
|
|
confidence_diff_threshold: float | None = Field(default=None, ge=0, le=100)
|
|
signal_alignment_weight: float | None = Field(default=None, ge=0, le=1)
|
|
sr_strength_weight: float | None = Field(default=None, ge=0, le=1)
|
|
distance_penalty_factor: float | None = Field(default=None, ge=0, le=1)
|
|
momentum_technical_divergence_threshold: float | None = Field(default=None, ge=0, le=100)
|
|
fundamental_technical_divergence_threshold: float | None = Field(default=None, ge=0, le=100)
|
|
|
|
|
|
class TickerUniverseUpdate(BaseModel):
|
|
universe: Literal["sp500", "nasdaq100", "nasdaq_all"]
|
|
|
|
|
|
class ActivationConfigUpdate(BaseModel):
|
|
"""Activation thresholds: what counts as an actionable signal."""
|
|
min_rr: float | None = Field(default=None, ge=0)
|
|
min_confidence: float | None = Field(default=None, ge=0, le=100)
|