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signal-platform/app/schemas/admin.py
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dennisthiessen f48d8705de
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remove min_target_probability gate + add chart time-range presets
min_target_probability is gone: it filtered on the probability model the
calibration has repeatedly shown to be weak and overconfident, it was redundant
with the momentum gate, and as an off-by-default knob it just invited bad tuning.
Removed from the backend gate, activation config/schema, the frontend mirror
(qualifiesSetup / activationSummary), and ActivationSettings. The probability
model stays where it does real work (primary-target selection + display).

Charts: with multi-year history the all-bars default was unreadable. Added
time-range presets (1M / 3M / 6M / YTD / 1Y / 3Y / 5Y / All), defaulting to 1Y;
clicking a preset always re-applies (snaps back after a manual zoom). Y-axis
autoscale and wheel-zoom / drag-pan were already there.

339 backend tests pass; frontend build clean.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-24 09:24:35 +02:00

101 lines
3.7 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)
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 gate: what counts as an actionable signal."""
min_momentum_percentile: float | None = Field(default=None, ge=0, le=100)
min_rr: float | None = Field(default=None, ge=0)
min_confidence: float | None = Field(default=None, ge=0, le=100)
require_high_conviction: bool | None = None
exclude_conflicts: bool | None = None
class ScheduleConfigUpdate(BaseModel):
"""Cron schedule for the pipelines + fundamentals. Crons are 5-field
(min hour dom month dow); timezone is an IANA name (e.g. Europe/Berlin)."""
schedule_timezone: str | None = Field(default=None, max_length=64)
schedule_daily_pipeline_cron: str | None = Field(default=None, max_length=120)
schedule_intraday_pipeline_cron: str | None = Field(default=None, max_length=120)
schedule_fundamentals_cron: str | None = Field(default=None, max_length=120)
class SentimentConfigUpdate(BaseModel):
"""Runtime sentiment LLM config. api_key is write-only; omit/empty to keep
the stored key."""
provider: Literal["openai", "gemini", "deepseek", "xai", "openai_compatible"] | None = None
model: str | None = Field(default=None, max_length=100)
api_key: str | None = Field(default=None, max_length=400)
base_url: str | None = Field(default=None, max_length=300)
class SentimentTestRequest(BaseModel):
ticker: str = Field(default="AAPL", max_length=10)
class AlertConfigUpdate(BaseModel):
"""Telegram alert config. bot_token is write-only; omit/empty to keep the
stored token."""
enabled: bool | None = None
bot_token: str | None = Field(default=None, max_length=200)
telegram_chat_id: str | None = Field(default=None, max_length=64)
qualified_enabled: bool | None = None
sr_proximity_enabled: bool | None = None
score_drop_enabled: bool | None = None
digest_enabled: bool | None = None