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oliver
e0503df8a5
Size DB pool, CLI budget, and WebCRT session caps for concurrent operators while keeping hard ceilings and env overrides. Co-authored-by: Cursor <cursoragent@cursor.com>
58 lines
2.3 KiB
Python
58 lines
2.3 KiB
Python
"""Startup capacity checks and operator-facing budget logging."""
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from __future__ import annotations
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import logging
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from .cli_budget import cli_budget_status, feature_hard_cap
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from .config import settings
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from .db import db_pool_status
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_log = logging.getLogger("netx.runtime.budget")
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def log_runtime_budget(*, role: str = "api") -> None:
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"""Log effective pools/CLI caps and warn when capacity looks undersized."""
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pool_size = max(1, int(getattr(settings, "db_pool_size", 40) or 40))
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overflow = max(0, int(getattr(settings, "db_max_overflow", 40) or 40))
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pool_cap = pool_size + overflow
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cli = max(1, int(getattr(settings, "cli_max_concurrent", 24) or 24))
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hard = feature_hard_cap()
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# Multi-user HTTP + WebCRT WS + UME alarm WS headroom.
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http_reserve = 24
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recommended_pool = cli + http_reserve
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_log.info(
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"runtime budget role=%s db_pool=%s+%s=%s cli_max=%s feature_hard_cap=%s "
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"timeout_pool=%s pt_dispatch=%s webcrt_sessions=%s audit_sample_n=%s inline_schedulers=%s",
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role,
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pool_size,
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overflow,
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pool_cap,
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cli,
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hard,
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int(getattr(settings, "cli_timeout_pool_workers", 24) or 24),
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int(getattr(settings, "port_traffic_dispatch_workers", 6) or 6),
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int(getattr(settings, "webcrt_max_sessions", 40) or 40),
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int(getattr(settings, "audit_sample_n", 5) or 5),
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bool(getattr(settings, "run_inline_schedulers", True)),
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)
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_log.info("runtime budget snapshot pool=%s cli=%s", db_pool_status(), cli_budget_status())
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if pool_cap < recommended_pool:
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_log.warning(
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"DB pool capacity %s < recommended %s (cli_max=%s + http_reserve=%s). "
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"Raise NETX_DB_POOL_SIZE / NETX_DB_MAX_OVERFLOW or lower NETX_CLI_MAX_CONCURRENT.",
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pool_cap,
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recommended_pool,
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cli,
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http_reserve,
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)
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host = str(getattr(settings, "host", "") or "").strip().lower()
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if host not in {"127.0.0.1", "localhost", "::1"} and bool(
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getattr(settings, "run_inline_schedulers", True)
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):
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_log.warning(
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"Non-loopback bind (%s) with inline schedulers — for multi-user production prefer "
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"NETX_RUN_INLINE_SCHEDULERS=false and `python -m netx_api.worker`.",
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host,
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)
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