Follows 5ea0785, which renamed the user-visible labels. This finishes the pass
so code, docs and operator output use one vocabulary: README (pipeline list,
route table, FRED row), the methodology doc title, .env.example and config
comments, the snapshot model / event-study / service / test docstrings, the
scheduler section headers and morning-pipeline docstring, the TopBar status
text ("bullish regime" -> "bullish trend"), and the four "Regime monitor:" log
prefixes.
Deliberately NOT changed, because "market regime" is also a standard finance
term and most occurrences are not this job: the backtest caveat "~6 months is
roughly one market regime" in backtest_service, README, BacktestPanel and every
generated reports/*.json; "a regime shift" in TrackRecordPanel; and the
capacity-bracket findings doc. Renaming those would have made the text wrong.
Also unchanged, being persisted or externally linked rather than wording: the
regime_monitor / market_regime job ids, the regime_quadrant_enabled setting key,
the /regime route, METHODOLOGY and the snapshot fields, the service/test module
filenames, and docs/research/regime-monitor-v3.md's path (referenced from commit
messages). The doc now carries a one-line note recording the old name and why
those identifiers still use it.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
27 lines
1.1 KiB
Python
27 lines
1.1 KiB
Python
from datetime import date as date_type
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from datetime import datetime
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from sqlalchemy import Date, DateTime, Float, String, Text
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from sqlalchemy.orm import Mapped, mapped_column
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from app.database import Base
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class RegimeSnapshot(Base):
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"""Daily point-in-time snapshot of the AI/Tech Risk Monitor.
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One row per calendar date (unique). ``breakdown_json`` holds the full
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``breakdown_json`` is authoritative for v2 State, Warning, source dates,
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coverage, and fixed-basket metadata. ``total_score``/``band`` retain the v2
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State reading for schema compatibility. Nothing reads this to gate trades.
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"""
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__tablename__ = "regime_snapshots"
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id: Mapped[int] = mapped_column(primary_key=True)
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date: Mapped[date_type] = mapped_column(Date, nullable=False, unique=True, index=True)
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total_score: Mapped[float] = mapped_column(Float, nullable=False)
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band: Mapped[str] = mapped_column(String(20), nullable=False)
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breakdown_json: Mapped[str] = mapped_column(Text, nullable=False)
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False)
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