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Jyotisha/scripts/consult_full_data_cache.py
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jesse-uxandGrok (agent loop) 69c739fbee 个人长报告同盘同日重试改为秒回
完整数据版在版本号明确时复用当天的结果。渲染快捷算法留下但默认关闭,本机只快了大约两成。

Co-Authored-By: Grok (agent loop)
2026-10-14 06:37:40 +08:00

341 lines
12 KiB
Python

"""Cache the full-data report packet for the consult card.
The key is chart identity + ayanamsa + node mode + engine version
+ the reference date used for current dasha, transits and the year chart.
The file name is a hash. Birth data stays inside the scratch file.
Files older than two days are removed.
"""
from __future__ import annotations
import hashlib
import json
import threading
import time
from datetime import date
from pathlib import Path
from types import SimpleNamespace
from typing import Any, Callable
ROOT = Path(__file__).resolve().parents[1]
CACHE_SCHEMA = "consult-full-data-cache-v2"
SLOW_MISS_SECONDS = 20.0
KEEP_SECONDS = 2 * 24 * 60 * 60
PacketBuilder = Callable[[dict[str, Any]], dict[str, Any]]
# One build per cache key. A later caller waits and reads the stored packet.
class _Flight:
def __init__(self) -> None:
self.done = threading.Event()
self.error: BaseException | None = None
_flights: dict[str, _Flight] = {}
_flights_guard = threading.Lock()
# Chart-save warm has its own cap. When it is full the warm is skipped.
# A user request does not take this slot and does not receive 429 from it.
WARM_CONCURRENCY_LIMIT = 1
_warm_guard = threading.Lock()
_warm_inflight = 0
def _acquire_warm_slot() -> bool:
global _warm_inflight
with _warm_guard:
if _warm_inflight >= WARM_CONCURRENCY_LIMIT:
return False
_warm_inflight += 1
return True
def _release_warm_slot() -> None:
global _warm_inflight
with _warm_guard:
if _warm_inflight > 0:
_warm_inflight -= 1
def cache_dir(name: str = "consult_full_data_cache") -> Path:
path = ROOT / "scratch" / "local" / name
path.mkdir(parents=True, exist_ok=True)
return path
def engine_version() -> str:
try:
from jyotish_vedic import __version__ as version
except Exception:
return "unknown"
return str(version)
def _number(value: Any) -> int | float:
number = float(value)
if number == int(number):
return int(number)
return number
def reference_date_from_body(body: dict[str, Any], *, today: date | None = None) -> str:
"""One date for dasha, transits and the year chart. Request first, else the server day."""
for key in ("today", "transit_date"):
raw = body.get(key)
if isinstance(raw, str) and len(raw) >= 10:
try:
return date.fromisoformat(raw[:10]).isoformat()
except ValueError:
continue
return (today or date.today()).isoformat()
def identity_from_body(body: dict[str, Any], *, today: date | None = None) -> dict[str, Any]:
"""Birth fields are required. Missing keys raise KeyError so the caller can gap."""
node = body.get("node_mode", body.get("nodeMode", "mean"))
ayanamsa = body.get("ayanamsa", "lahiri")
second = body.get("second", 0)
return {
"schema": CACHE_SCHEMA,
"year": int(body["year"]),
"month": int(body["month"]),
"day": int(body["day"]),
"hour": _number(body["hour"]),
"minute": _number(body["minute"]),
"second": _number(second if second is not None else 0),
"lat": _number(body["lat"]),
"lon": _number(body["lon"]),
"tz": _number(body["tz"]),
"ayanamsa": str(ayanamsa),
"node_mode": str(node or "mean"),
"engine_version": engine_version(),
"reference_date": reference_date_from_body(body, today=today),
}
def cache_key(identity: dict[str, Any]) -> str:
canonical = json.dumps(identity, ensure_ascii=False, sort_keys=True, separators=(",", ":"))
return hashlib.sha256(canonical.encode("utf-8")).hexdigest()
def _cache_path(identity: dict[str, Any], name: str = "consult_full_data_cache") -> Path:
return cache_dir(name) / f"{cache_key(identity)}.json"
def prune_cache(now: float | None = None, *, name: str = "consult_full_data_cache") -> int:
"""Drop cache files last written more than two days ago."""
cutoff = (time.time() if now is None else now) - KEEP_SECONDS
removed = 0
folder = cache_dir(name)
for path in folder.glob("*.json"):
try:
if path.stat().st_mtime < cutoff:
path.unlink()
removed += 1
except OSError:
continue
return removed
def _read_cached(path: Path, started: float, now: Callable[[], float]) -> dict[str, Any]:
packet = json.loads(path.read_text(encoding="utf-8"))
return {"packet": packet, "hit": True, "elapsed_s": now() - started, "slow": False}
def get_or_build(
identity: dict[str, Any],
builder: PacketBuilder | None = None,
*,
clock: Callable[[], float] | None = None,
cache_name: str = "consult_full_data_cache",
json_default: Callable[..., Any] | None = None,
) -> dict[str, Any]:
"""Return the packet. Concurrent callers for one key share one build.
``cache_name`` selects the scratch subdirectory. The consult card keeps the
default. A non-default name does not change the consult key or its files.
"""
prune_cache(name=cache_name)
now = clock or time.perf_counter
started = now()
path = _cache_path(identity, cache_name)
if path.is_file():
return _read_cached(path, started, now)
key = f"{cache_name}\n{cache_key(identity)}"
with _flights_guard:
flight = _flights.get(key)
owner = flight is None
if owner:
flight = _Flight()
_flights[key] = flight
assert flight is not None
if not owner:
flight.done.wait()
if flight.error is not None:
raise flight.error
if path.is_file():
return _read_cached(path, started, now)
raise RuntimeError("consult_full_data_unavailable")
try:
if path.is_file():
return _read_cached(path, started, now)
if builder is None:
builder = build_full_data_packet
packet = builder(identity)
temporary = path.with_suffix(".json.tmp")
dump_kwargs: dict[str, Any] = {"ensure_ascii": False, "separators": (",", ":")}
if json_default is not None:
dump_kwargs["default"] = json_default
temporary.write_text(json.dumps(packet, **dump_kwargs), encoding="utf-8")
temporary.replace(path)
elapsed = now() - started
return {
"packet": packet,
"hit": False,
"elapsed_s": elapsed,
"slow": elapsed > SLOW_MISS_SECONDS,
}
except Exception as exc:
flight.error = exc
raise
finally:
flight.done.set()
with _flights_guard:
if _flights.get(key) is flight:
_flights.pop(key, None)
def _attach_graha_drishti(packet: dict[str, Any], reading: dict[str, Any]) -> dict[str, Any]:
"""Copy the engine's whole-sign aspects onto the consult packet. Do not recompute."""
modules = reading.get("modules") if isinstance(reading, dict) else None
aspects = modules.get("aspects") if isinstance(modules, dict) else None
rows = aspects.get("house_aspects") if isinstance(aspects, dict) else None
worksheets = packet.get("worksheets")
if not isinstance(rows, list) or not isinstance(worksheets, dict):
return packet
if "graha_drishti" not in worksheets:
worksheets["graha_drishti"] = {
"source": "modules.aspects.house_aspects",
"citation": "references/signs-and-houses.md",
"house_aspects": rows,
}
return packet
def build_full_data_packet(identity: dict[str, Any]) -> dict[str, Any]:
"""Packet-only build. No markdown render and no sanitized rewrite."""
from calculation_profile_contract import attach_calculation_profile
from jyotish_engine import build_pl9_style_export_packet, cmd_full_reading
ref = date.fromisoformat(str(identity["reference_date"]))
args = SimpleNamespace(
year=int(identity["year"]),
month=int(identity["month"]),
day=int(identity["day"]),
hour=float(identity["hour"]),
minute=float(identity["minute"]),
second=float(identity["second"]),
lat=float(identity["lat"]),
lon=float(identity["lon"]),
tz=float(identity["tz"]),
ayanamsa=identity["ayanamsa"],
node_mode=identity["node_mode"],
today=ref.isoformat(),
target_year=ref.year,
age=ref.year - int(identity["year"]),
transit_date=ref.isoformat(),
birth_time_accuracy="confirmed",
)
reading = cmd_full_reading(args)
if not isinstance(reading, dict) or reading.get("error"):
raise RuntimeError("full_reading_unavailable")
packet = build_pl9_style_export_packet(reading)
if not isinstance(packet, dict):
raise RuntimeError("full_reading_unavailable")
_attach_graha_drishti(packet, reading)
return attach_calculation_profile(packet, args)
def warm_consult_packet(body: dict[str, Any] | None) -> dict[str, Any]:
"""Build today's packet after a chart save. The response stays small.
At most WARM_CONCURRENCY_LIMIT warms run at once. A full cap skips this
warm. The skip is not a user-request 429, and a failure here does not
fail the chart save (the save route does not wait on this response).
"""
if not _acquire_warm_slot():
return {
"success": True,
"endpoint": "consult_card_warm",
"skipped": True,
"hit": False,
"elapsed_s": 0.0,
"slow": False,
}
try:
try:
cached = get_or_build(identity_from_body(dict(body or {})))
except Exception as exc:
return {
"success": False,
"endpoint": "consult_card_warm",
"error_type": type(exc).__name__,
}
return {
"success": True,
"endpoint": "consult_card_warm",
"hit": bool(cached["hit"]),
"elapsed_s": cached["elapsed_s"],
"slow": bool(cached["slow"]),
}
finally:
_release_warm_slot()
def _requested_domains(body: dict[str, Any]) -> list[str]:
# Card domains (parents, children) are not the engine theme (family).
raw = body.get("consult_card_domains")
if raw is None:
raw = body.get("themes", body.get("theme"))
if raw is None:
return []
if isinstance(raw, str):
return [raw]
if isinstance(raw, list):
return [str(item) for item in raw if isinstance(item, str)]
return []
def attach_consult_full_data(result: dict[str, Any], body: dict[str, Any] | None) -> dict[str, Any]:
"""Thin hook for the consultation response. Failures do not break the chat."""
payload = dict(body or {})
if payload.get("include_consult_card_facts") is not True:
return result
try:
from consult_card_domain_facts import build_consult_card_facts
except ImportError:
from scripts.consult_card_domain_facts import build_consult_card_facts
try:
identity = identity_from_body(payload)
cached = get_or_build(identity)
facts = build_consult_card_facts(
cached["packet"],
_requested_domains(payload),
minute_confirmed=None,
body=payload,
)
facts["timing"] = {
"hit": bool(cached["hit"]),
"elapsed_s": cached["elapsed_s"],
"slow": bool(cached["slow"]),
}
except Exception as exc:
facts = {
"schema": "consult-card-facts-v1",
"gaps": ["consult_full_data_unavailable"],
"error_type": type(exc).__name__,
}
attached = dict(result)
attached["consult_card_facts"] = facts
return attached