知微
fa45d8aa5f
- health_checklist.json: 192.168.1.122→node122
- ocr_client.py: docstring IP→node122
- docs/market-data-requirements.md: IP→node122
- 所有API调用通过ProxyHandler({})绕过系统代理
Privoxy对node122:18003返回500，直连正常
111 lines
3.0 KiB
Python
111 lines
3.0 KiB
Python
# -*- coding: utf-8 -*-
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"""Stable machine-readable result schema metadata."""
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from __future__ import annotations
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SCREEN_RESULT_SCHEMA_VERSION = 1
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SCREEN_RESULT_SCHEMA: dict[str, object] = {
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"schema_version": SCREEN_RESULT_SCHEMA_VERSION,
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"object": "ScreenResult",
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"top_level_fields": [
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"strategy",
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"market",
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"strategy_version",
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"strategy_category",
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"snapshot_count",
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"after_filter_count",
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"picks",
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"run_id",
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"llm_ranked",
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"llm_coverage",
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"llm_parse_errors",
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"degradation",
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"snapshot_source",
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"source_errors",
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"deep_analysis_requested",
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"post_analyzers",
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"daily_enriched",
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"daily_enrich_count",
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"risk_enabled",
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"portfolio_diversity_enabled",
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"portfolio_concentration_notes",
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"created_at",
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],
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"pick_fields": [
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"rank",
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"code",
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"name",
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"final_score",
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"screen_score",
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"factor_scores",
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"ranking_reason",
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"risk_summary",
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"risk_score",
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"risk_level",
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"risk_flags",
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"portfolio_penalty",
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"portfolio_flags",
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"industry",
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"concepts",
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"board_heat_score",
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"board_heat_summary",
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"daily_quality_score",
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"daily_quality_flags",
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"daily_source",
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"post_analysis_status",
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"post_analysis_summaries",
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"post_analysis_score_deltas",
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"post_analysis_tags",
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"dsa_context",
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"dsa_news",
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"dsa_analysis_summary",
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"deep_analysis_status",
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"deep_analysis_query_id",
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"deep_analysis_summary",
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"deep_analysis_error",
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"deep_analysis_signal_score",
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"deep_analysis_sentiment_score",
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"deep_analysis_operation_advice",
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"deep_analysis_trend_prediction",
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"deep_analysis_risk_flags",
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],
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"ui_card_fields": {
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"identity": ["rank", "code", "name", "final_score", "screen_score"],
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"source_health": [
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"snapshot_source",
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"source_errors",
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"daily_source",
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"daily_quality_flags",
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],
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"risk": ["risk_level", "risk_flags", "portfolio_flags", "risk_summary"],
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"watch": [
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"llm_watch_items",
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"llm_invalidators",
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"deep_analysis_operation_advice",
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],
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"post_analysis": [
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"post_analysis_status",
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"post_analysis_summaries",
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"post_analysis_tags",
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],
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},
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"non_goals": [
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"AlphaSift does not execute trades.",
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"AlphaSift does not provide full portfolio accounting.",
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"DSA is optional and must not be required for core screening.",
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],
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}
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def screen_result_schema() -> dict[str, object]:
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"""Return a copy of the stable ScreenResult schema metadata."""
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return {
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key: value.copy()
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if isinstance(value, dict)
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else list(value)
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if isinstance(value, list)
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else value
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for key, value in SCREEN_RESULT_SCHEMA.items()
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}
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