fix(api): persist scratch/local and bound heavy compute concurrency
Keep async job and chart-cache files across API recreates, freeze jyotish_api_server.py growth, and fail fast with 429 when rectification or high-rigor compute is saturated. Co-authored-by: Cursor <cursoragent@cursor.com>
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"""Fail-fast bounded concurrency for heavy Jyotish API compute endpoints.
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Request threads that run rectification scans or high-rigor workflows share one
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process-wide semaphore sized for the 2 vCPU production host. Saturated requests
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return immediately; they are not queued. Health checks and other light routes
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must not call this gate.
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"""
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from __future__ import annotations
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import os
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import threading
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DEFAULT_CONCURRENCY = 2
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DEFAULT_RETRY_AFTER_SECONDS = 2
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ENV_CONCURRENCY = "JYOTISH_HEAVY_COMPUTE_CONCURRENCY"
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ENV_RETRY_AFTER = "JYOTISH_HEAVY_COMPUTE_RETRY_AFTER_SECONDS"
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HEAVY_COMPUTE_PATHS = frozenset(
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{
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"/api/rectification/sensitivity_scan",
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"/api/active_rectification_events",
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"/api/active_rectification_events_v4",
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"/api/rectification/v5/candidate-features",
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"/api/rectification/v5/score",
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"/api/rectification/v5/diagnostics",
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"/api/rectification/v5/vedastro-validate",
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"/api/dynamic_rectification_opportunities",
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"/api/dynamic_rectification_score",
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"/api/high_rigor_workflow",
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"/api/consultation_workflow",
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"/api/professional_reading",
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"/api/vedastro/range_scan",
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"/api/vedastro_gateway/run",
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"/api/thematic_report",
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}
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)
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_state_lock = threading.Lock()
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_semaphore: threading.BoundedSemaphore | None = None
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_retry_after_seconds = DEFAULT_RETRY_AFTER_SECONDS
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class HeavyComputeBusy(RuntimeError):
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"""No heavy-compute slot is free; callers must fail fast with HTTP 429."""
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error_code = "ERR_COMPUTE_BUSY"
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def __init__(self, retry_after_seconds: int) -> None:
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super().__init__(
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"Heavy compute capacity is saturated; retry after the Retry-After delay."
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)
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self.retry_after_seconds = max(int(retry_after_seconds), 1)
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def _parse_positive_int(raw: str | None, default: int) -> int:
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try:
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value = int(str(raw or "").strip())
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except (TypeError, ValueError):
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return default
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return value if value >= 1 else default
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def is_heavy_compute_path(path: str) -> bool:
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if path in HEAVY_COMPUTE_PATHS:
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return True
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return path.startswith("/api/vedastro_gateway/jobs/") and path.endswith("/run")
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def reset_heavy_compute_gate(
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*,
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limit: int | None = None,
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retry_after_seconds: int | None = None,
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) -> None:
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"""Rebuild the process-wide semaphore. Tests must call this after env changes."""
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global _semaphore, _retry_after_seconds
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resolved_limit = (
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limit
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if limit is not None
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else _parse_positive_int(os.environ.get(ENV_CONCURRENCY), DEFAULT_CONCURRENCY)
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)
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resolved_retry = (
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retry_after_seconds
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if retry_after_seconds is not None
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else _parse_positive_int(os.environ.get(ENV_RETRY_AFTER), DEFAULT_RETRY_AFTER_SECONDS)
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)
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with _state_lock:
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_retry_after_seconds = resolved_retry
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_semaphore = threading.BoundedSemaphore(resolved_limit)
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def _ensure_locked() -> tuple[threading.BoundedSemaphore, int]:
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global _semaphore, _retry_after_seconds
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if _semaphore is None:
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limit = _parse_positive_int(os.environ.get(ENV_CONCURRENCY), DEFAULT_CONCURRENCY)
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_retry_after_seconds = _parse_positive_int(
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os.environ.get(ENV_RETRY_AFTER), DEFAULT_RETRY_AFTER_SECONDS
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)
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_semaphore = threading.BoundedSemaphore(limit)
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return _semaphore, _retry_after_seconds
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def acquire_heavy_compute_slot(path: str) -> threading.BoundedSemaphore | None:
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"""Acquire a slot for a gated path. Light paths return None. Fail-fast on saturation."""
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if not is_heavy_compute_path(path):
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return None
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with _state_lock:
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semaphore, retry_after = _ensure_locked()
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if not semaphore.acquire(blocking=False):
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raise HeavyComputeBusy(retry_after)
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return semaphore
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def release_heavy_compute_slot(slot: threading.BoundedSemaphore | None) -> None:
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if slot is not None:
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slot.release()
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