Giorgio Gilestro
6e7f57c6b2
Server no longer holds portfolios. Holdings live in the browser (localStorage); the server publishes an anonymous ticker_universe and a gzipped /api/universe payload identical for every authenticated user, so access patterns can't betray which tickers a user holds. AI commentary is generated ephemerally from the browser-supplied pie and the cost ledger row records no positions. Migrations 0009-0011 added the universe table and dropped positions / portfolio_snapshots / portfolios. Authentication is now e-mail OTP only. Migration 0010 dropped password_hash and email_verified (every active session is by construction proof of email control). The /signup endpoint is gone; signup and login share a single email-entry page. Email rendering is HTML+plain-text multipart with a shared brand palette (app/branding.py) asserted in sync with the CSS by a drift-detection test. LLM provider defaults to DeepSeek-direct (cheaper, api.deepseek.com) with OpenRouter as automatic fallback if DeepSeek fails. ai_log_job and indicator_summary_job now iterate the two tones (NOVICE, INTERMEDIATE) per cycle so the dashboard's tone toggle is instant; PROMPT_VERSION bumped to 6 with an educational anti-TA / anti-gambling stance baked into _CORE. NOVICE mode renders a curated glossary inline (CBOE VIX, yield curve, HY OAS, etc.) with JS-positioned tooltips that survive viewport edges and sticky bars. Model name and tokens hidden from the user UI; still recorded in StrategicLog.model and AICall for admin. Layout adds a sticky top nav, a sticky bottom markets bar (one chip per exchange with status LED + headline index + 1d change), and Phase H feedback reporting is queued in tasks/todo.md. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
43 lines
1.6 KiB
Python
43 lines
1.6 KiB
Python
"""Flush the ticker_universe Redis buffer into the DB at 5-min boundaries.
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The buffer is keyed by 5-minute wall-clock buckets:
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`ticker_universe:buffer:<bucket_ts>`. This job runs slightly after each
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boundary and reads the *previous* bucket, ensuring it's closed (no new
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writes can land in it). New tickers are inserted into `ticker_universe`;
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already-known ones have their `last_referenced_at` bumped.
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The lag between bucket-close and flush is intentional: it batches
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multiple users' uploads into one INSERT, making timing-correlation
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between "user uploaded at T" and "ticker XYZ appeared at T+δ" weaker.
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"""
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from __future__ import annotations
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import asyncio
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from app.jobs._helpers import job_lifecycle, log
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from app.services.ticker_universe import evict_stale, flush_buffer
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async def run() -> None:
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async with job_lifecycle("universe_flush_job") as (session, run):
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if run.status == "skipped":
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return
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out = await flush_buffer(session)
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run.items_written = out.get("inserted", 0)
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log.info("universe_flush.done", **out)
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async def evict_run() -> None:
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"""Separate daily run: prune entries that haven't been referenced
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within the eviction TTL (60 days). Kept in this module so all
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universe-maintenance lives in one place."""
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async with job_lifecycle("universe_evict_job") as (session, run):
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if run.status == "skipped":
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return
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deleted = await evict_stale(session)
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run.items_written = deleted
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log.info("universe_evict.done", deleted=deleted)
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if __name__ == "__main__":
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asyncio.run(run())
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