Giorgio Gilestro
1edf9cad41
Three new data sources hooked into the existing SOURCES registry. All
open APIs, no keys:
- EUROSTAT: prefix EUROSTAT:dataset?dim=val&... — current EU bond
yields (Bund/OAT/BTP/EZ) and Eurozone economic indicators that
FRED's OECD-mirror series stopped updating in 2022-2023.
- ONS: prefix ONS:topic/cdid/dataset — current UK CPI, unemployment,
GDP, industrial production. Replaces the 5+ month-stale FRED
LRHUTTTTGBM156S mirror.
New indicator groups in default.toml feed the strategic/fundamental
lens we converged on: valuation (CAPE/Buffett anchors), bubble_watch
(SKEW/VVIX/RSP vs SPY/HYG vs TLT/IPO/crypto), economy (multi-region,
ALL current-or-stale-flagged), bonds (UK/EU/US/JPN sovereign yields).
Indicator panel now opens with an AI "read" interpretation per group
(generated hourly at :07 UTC alongside an aggregate cross-group read
shown in the dashboard header). The aggregate is grounded by a markets
strip — NYSE/LSE/Frankfurt/Tokyo/HK/Shanghai with open/closed LEDs and
next-open countdown, computed locally from each exchange's tz.
Other UX bits: indicator-row tooltips populated from TOML notes;
rows whose last observation is >90 days old get a 'stale' chip;
ghost symbols (in DB but no longer in TOML) filtered out of the
panel; Eurostat/ONS symbols display as short codes rather than the
full API path.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
"""indicator_summaries — short AI-generated read per indicator group
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Revision ID: 0004
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Revises: 0003
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Create Date: 2026-05-15
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"""
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from typing import Sequence, Union
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import sqlalchemy as sa
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from alembic import op
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revision: str = "0004"
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down_revision: Union[str, None] = "0003"
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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def upgrade() -> None:
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op.create_table(
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"indicator_summaries",
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sa.Column("id", sa.BigInteger, primary_key=True, autoincrement=True),
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sa.Column("group_name", sa.String(64), nullable=False),
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sa.Column("generated_at", sa.DateTime(timezone=True), nullable=False),
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sa.Column("model", sa.String(64), nullable=False),
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sa.Column("tone", sa.String(16)),
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sa.Column("analysis", sa.String(16)),
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sa.Column("prompt_version", sa.Integer, nullable=False, server_default=sa.text("1")),
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sa.Column("content", sa.Text, nullable=False),
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sa.Column("prompt_tokens", sa.Integer),
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sa.Column("completion_tokens", sa.Integer),
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sa.Column("cost_usd", sa.Float),
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)
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op.create_index(
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"ix_indsumm_group_generated",
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"indicator_summaries",
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["group_name", "generated_at"],
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)
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def downgrade() -> None:
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op.drop_index("ix_indsumm_group_generated", table_name="indicator_summaries")
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op.drop_table("indicator_summaries")
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