732642856
280 lines
11 KiB
Python
280 lines
11 KiB
Python
#!/usr/bin/env python3
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"""User-level VedAstro + strict-workflow entrypoint for Codex sessions."""
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from __future__ import annotations
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import argparse
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import json
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import os
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import subprocess
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import sys
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from pathlib import Path
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from typing import Any
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try:
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from scripts.diagnose_vedastro_mode import build_report as build_runtime_mode_report
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from scripts.local_env import load_local_env
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except ModuleNotFoundError: # pragma: no cover - direct script execution
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from diagnose_vedastro_mode import build_report as build_runtime_mode_report
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from local_env import load_local_env
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ROOT = Path(__file__).resolve().parents[1]
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RUNNER = ROOT / "scripts" / "vedastro_official_capability_runner.py"
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def _bool_env(name: str) -> bool:
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return os.environ.get(name, "").strip().lower() in {"1", "true", "yes", "on"}
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def _int_env(name: str, default: int = 0) -> int:
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raw = os.environ.get(name, "").strip()
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if not raw:
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return default
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try:
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return int(float(raw))
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except ValueError:
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return default
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def _themes(raw: str) -> list[str]:
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aliases = {
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"relationship": "marriage",
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"relationships": "marriage",
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"finance": "wealth",
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"money": "wealth",
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"事业": "career",
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"婚恋": "marriage",
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"婚姻": "marriage",
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"财富": "wealth",
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"健康": "health",
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"教育": "education",
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"房产": "property",
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"子女": "children",
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"迁移": "migration",
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"问卜": "prashna",
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"校时": "rectification",
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"应期": "timing",
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}
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values: list[str] = []
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for item in raw.replace("，", ",").split(","):
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key = aliases.get(item.strip().lower(), item.strip().lower())
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if key and key not in values:
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values.append(key)
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return values or ["career", "marriage", "wealth"]
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def _primary_route(question: str, themes: list[str]) -> str:
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text = f"{question} {' '.join(themes)}".lower()
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route_aliases = [
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("career", ("career", "job", "work", "profession", "事业", "工作", "职业", "项目")),
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("relationship", ("marriage", "relationship", "spouse", "partner", "婚恋", "婚姻", "伴侣")),
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("finance", ("wealth", "finance", "money", "income", "财富", "金钱", "收入")),
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]
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for route, tokens in route_aliases:
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if any(token in text for token in tokens):
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return route
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return "general"
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def _case_from_args(args: argparse.Namespace, themes: list[str]) -> dict[str, Any]:
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return {
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"year": args.year,
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"month": args.month,
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"day": args.day,
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"hour": args.hour,
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"minute": args.minute,
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"second": args.second,
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"lat": args.lat,
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"lon": args.lon,
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"tz": args.tz,
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"reference_date": args.reference_date,
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"themes": themes,
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"ayanamsa_policy": args.ayanamsa,
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"node_policy": args.node_mode,
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}
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def _run_capability_catalog(case: dict[str, Any]) -> dict[str, Any]:
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completed = subprocess.run(
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[
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sys.executable,
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str(RUNNER),
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"--bundle",
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"official_full_capability_catalog",
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"--birth-json",
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json.dumps(case, ensure_ascii=False),
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],
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cwd=ROOT,
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text=True,
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capture_output=True,
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timeout=max(5.0, float(os.environ.get("VEDASTRO_TIMEOUT_SECONDS", "5") or 5)),
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check=False,
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env=os.environ.copy(),
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)
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if completed.returncode != 0:
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return {
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"available": False,
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"status": "official_full_capability_catalog_runtime_error",
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"summary": {},
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"domain_routing": {},
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"dynamic_selection": {},
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"stderr": (completed.stderr or "").strip(),
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}
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try:
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return json.loads(completed.stdout)
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except json.JSONDecodeError:
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return {
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"available": False,
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"status": "official_full_capability_catalog_invalid_json",
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"summary": {},
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"domain_routing": {},
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"dynamic_selection": {},
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"stdout_excerpt": (completed.stdout or "").strip()[:500],
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}
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def _strict_workflow_summary(route: str, catalog: dict[str, Any]) -> dict[str, Any]:
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dynamic_selection = catalog.get("dynamic_selection") if isinstance(catalog.get("dynamic_selection"), dict) else {}
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theme_for_route = {"relationship": "marriage", "finance": "wealth"}.get(route, route)
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return {
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"triggered": route in {"career", "relationship", "finance"},
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"primary_route": route,
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"routes_available": ["career", "relationship", "finance"],
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"source": "strict_workflow_contract_summary",
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"official_capability_selection": dynamic_selection.get(theme_for_route) or {},
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"boundary": (
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"This entrypoint triggers the strict workflow contract lane and passes VedAstro official catalog "
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"selection metadata; it does not claim every official method was executed."
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),
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}
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def _cache_and_queue_report() -> dict[str, Any]:
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return {
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"official_full_snapshot_cache_scope": "official_full_snapshot_semantic_cache",
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"official_full_snapshot_cache_ttl_seconds": _int_env("VEDASTRO_OFFICIAL_FULL_SNAPSHOT_CACHE_TTL_SECONDS", 0),
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"range_scan_cache_scope": "vedastro_range_scan_request_cache",
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"range_scan_cache_ttl_seconds": _int_env("VEDASTRO_CACHE_TTL_SECONDS", 0),
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"free_tier_queue_enabled": _bool_env("VEDASTRO_FREE_TIER_QUEUE")
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or _bool_env("VEDASTRO_FREE_TIER_QUEUE_ENABLED")
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or _bool_env("VEDASTRO_ENABLE_FREE_TIER_QUEUE"),
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"sample_limit": _int_env("VEDASTRO_FULL_CATALOG_SAMPLE_LIMIT", 0),
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"artifact_root": "scratch/local/vedastro_adapter",
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}
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def build_report(args: argparse.Namespace) -> dict[str, Any]:
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load_local_env(ROOT)
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themes = _themes(args.themes)
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case = _case_from_args(args, themes)
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runtime = build_runtime_mode_report()
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catalog = _run_capability_catalog(case)
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route = _primary_route(args.question, themes)
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return {
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"scope": "vedastro_user_entrypoint",
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"schema_version": 1,
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"input": {
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"question": args.question,
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"themes": themes,
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"birth": {key: case[key] for key in ("year", "month", "day", "hour", "minute", "second", "lat", "lon", "tz")},
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"reference_date": args.reference_date,
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},
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"runtime_mode": runtime,
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"official_capability_catalog": {
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"status": catalog.get("status") or "blocked",
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"available": bool(catalog.get("available")),
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"summary": catalog.get("summary") or {},
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"coverage": catalog.get("coverage") or {},
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"domain_routing": catalog.get("domain_routing") or {},
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"dynamic_selection": catalog.get("dynamic_selection") or {},
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},
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"cache_and_queue": _cache_and_queue_report(),
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"strict_workflow": _strict_workflow_summary(route, catalog),
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"honesty_boundary": {
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"all_641_methods_executed": False,
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"official_catalog_classified": bool(catalog.get("summary")),
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"official_extended_ready": bool(runtime.get("official_ready")),
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"rule": (
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"Use official catalog domain routing and dynamic selection as evidence metadata. "
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"Methods requiring user context/text/rectification remain blocked or secondary until inputs exist."
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),
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},
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"user_commands": {
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"json": (
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"python3 scripts/vedastro_user_entrypoint.py --year YYYY --month MM --day DD "
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"--hour HH --minute MM --lat LAT --lon LON --tz TZ --question '...' "
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"--themes career,marriage,wealth --reference-date YYYY-MM-DD --format json "
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"# includes official_full_capability_catalog"
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),
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"markdown": (
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"python3 scripts/vedastro_user_entrypoint.py --year YYYY --month MM --day DD "
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"--hour HH --minute MM --lat LAT --lon LON --tz TZ --question '...' --format markdown"
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),
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},
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}
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def render_markdown(report: dict[str, Any]) -> str:
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runtime = report["runtime_mode"]
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catalog = report["official_capability_catalog"]
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cache = report["cache_and_queue"]
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strict = report["strict_workflow"]
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summary = catalog.get("summary") or {}
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lines = [
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"# VedAstro 用户级入口",
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"",
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f"- runtime_mode: `{runtime.get('mode')}`",
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f"- official_ready: `{str(runtime.get('official_ready')).lower()}`",
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f"- catalog_status: `{catalog.get('status')}`",
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f"- catalog_method_count: `{summary.get('catalog_method_count', 0)}`",
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f"- unknown_method_count: `{summary.get('unknown_method_count', 0)}`",
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f"- misrouted_general_method_count: `{summary.get('misrouted_general_method_count', 0)}`",
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f"- strict workflow triggered: `{str(strict.get('triggered')).lower()}`",
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f"- primary_route: `{strict.get('primary_route')}`",
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"",
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"## Cache / Free-Tier Queue",
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"",
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f"- official_full_snapshot_cache_ttl_seconds: `{cache['official_full_snapshot_cache_ttl_seconds']}`",
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f"- range_scan_cache_ttl_seconds: `{cache['range_scan_cache_ttl_seconds']}`",
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f"- free_tier_queue_enabled: `{str(cache['free_tier_queue_enabled']).lower()}`",
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"",
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"## Boundary",
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"",
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"- 这个入口会启动 VedAstro official capability catalog 分类、动态主题选择和 strict workflow 合同摘要。",
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"- 它不会把 641 项全部当作已执行；需要用户上下文、文本问题或校时画像的方法会保持 blocked/secondary。",
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"- 如果 runtime 是 `fast_local_fallback`，解盘必须诚实降级，不得声称 official extended 已闭环。",
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]
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return "\n".join(lines) + "\n"
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def main() -> int:
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("--year", type=int, required=True)
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parser.add_argument("--month", type=int, required=True)
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parser.add_argument("--day", type=int, required=True)
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parser.add_argument("--hour", type=int, required=True)
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parser.add_argument("--minute", type=int, required=True)
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parser.add_argument("--second", type=int, default=0)
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parser.add_argument("--lat", type=float, required=True)
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parser.add_argument("--lon", type=float, required=True)
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parser.add_argument("--tz", type=float, required=True)
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parser.add_argument("--question", default="")
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parser.add_argument("--themes", default="career,marriage,wealth")
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parser.add_argument("--reference-date", required=True)
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parser.add_argument("--ayanamsa", default="lahiri")
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parser.add_argument("--node-mode", default="mean")
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parser.add_argument("--format", choices=["json", "markdown"], default="markdown")
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args = parser.parse_args()
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report = build_report(args)
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if args.format == "json":
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print(json.dumps(report, ensure_ascii=False, indent=2, sort_keys=True))
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else:
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print(render_markdown(report), end="")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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