dennisthiessen
126c3b3c17
Providers (admin-switchable, no redeploy): - DeepSeek and any OpenAI-compatible endpoint (OpenRouter, Together, Groq, local Ollama) via a generic Chat Completions adapter + base_url - xAI Grok with Live Search (search_parameters web+X, citations) — grounded tier alongside OpenAI and Gemini - DeepSeek / generic compatible endpoints are ungrounded (no web search); UI shows an amber warning and labels each provider's grounding - Optional env fallbacks DEEPSEEK_API_KEY / XAI_API_KEY UI: replace native <select> (unstyleable white popup on Windows) with a custom dark Dropdown component everywhere — sentiment provider, scanner filters, market sort, indicators, admin universe, user role. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
81 lines
2.8 KiB
Python
81 lines
2.8 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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distance_penalty_factor: 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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