[verified] feat: complete Ralph task workstreams

This commit is contained in:
Dobromir Popov
2026-07-12 11:17:03 +03:00
parent 9a1b15c020
commit 377346c301
37 changed files with 5862 additions and 199 deletions

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"""Policy-driven zstd compression for activation seam bodies.
Policies are intentionally local to a hop condition: a LAN prefill can favour
wire savings while a one-token decode keeps a larger raw fast path. Environment
overrides make a trace-tuned rollout possible without changing the wire format.
"""
from __future__ import annotations
from dataclasses import dataclass
import os
import time
@dataclass(frozen=True)
class CompressionPolicy:
"""The measurable conditions required before an activation is compressed."""
min_input_bytes: int
min_savings_bytes: int = 4096
min_savings_ratio: float = 0.05
level: int = 1
enabled: bool = True
@dataclass(frozen=True)
class CompressionResult:
body: bytes
encoding: str | None
input_bytes: int
output_bytes: int
elapsed_seconds: float
decision: str
@property
def compressed(self) -> bool:
return self.encoding == "zstd"
_DEFAULTS: dict[tuple[str, str], CompressionPolicy] = {
# Decode activations usually contain one position; keep that hot path raw.
("lan", "prefill"): CompressionPolicy(64 * 1024),
("lan", "decode"): CompressionPolicy(128 * 1024),
("relay", "prefill"): CompressionPolicy(32 * 1024),
("relay", "decode"): CompressionPolicy(128 * 1024),
# The deterministic benchmark can explicitly model either policy family.
("benchmark", "prefill"): CompressionPolicy(64 * 1024),
("benchmark", "decode"): CompressionPolicy(128 * 1024),
}
class CompressionPolicies:
"""Explicit policies for LAN, relay, and benchmark prefill/decode seams.
Set ``MESHNET_COMPRESSION_<ROUTE>_<PHASE>_MIN_INPUT_BYTES``,
``..._MIN_SAVINGS_BYTES``, ``..._MIN_SAVINGS_RATIO``, or ``..._ENABLED`` to
tune a condition from production traces. E.g.
``MESHNET_COMPRESSION_RELAY_PREFILL_MIN_INPUT_BYTES=32768``.
"""
def __init__(self, policies: dict[tuple[str, str], CompressionPolicy] | None = None) -> None:
self._policies = dict(_DEFAULTS if policies is None else policies)
def for_condition(self, route: str, phase: str) -> CompressionPolicy:
key = (route.lower(), phase.lower())
try:
policy = self._policies[key]
except KeyError as exc:
raise ValueError(f"unknown compression condition {route}/{phase}") from exc
prefix = f"MESHNET_COMPRESSION_{key[0].upper()}_{key[1].upper()}_"
return CompressionPolicy(
min_input_bytes=_env_int(prefix + "MIN_INPUT_BYTES", policy.min_input_bytes),
min_savings_bytes=_env_int(prefix + "MIN_SAVINGS_BYTES", policy.min_savings_bytes),
min_savings_ratio=_env_float(prefix + "MIN_SAVINGS_RATIO", policy.min_savings_ratio),
level=_env_int(prefix + "LEVEL", policy.level),
enabled=_env_bool(prefix + "ENABLED", policy.enabled),
)
def compress_activation(body: bytes, policy: CompressionPolicy) -> CompressionResult:
"""Compress only when zstd clears both configured savings thresholds."""
started = time.monotonic()
if not policy.enabled:
return _raw(body, started, "disabled")
if len(body) < policy.min_input_bytes:
return _raw(body, started, "below_min_input")
try:
import zstandard as zstd
candidate = zstd.ZstdCompressor(level=policy.level).compress(body)
except Exception:
# Compression is an optional transport optimisation, never a reason to
# reject an otherwise valid activation.
return _raw(body, started, "unavailable")
saved = len(body) - len(candidate)
ratio = saved / max(1, len(body))
if saved < policy.min_savings_bytes or ratio < policy.min_savings_ratio:
return _raw(body, started, "below_savings")
return CompressionResult(candidate, "zstd", len(body), len(candidate), time.monotonic() - started, "compressed")
def decompress_activation(body: bytes, encoding: str | None) -> CompressionResult:
"""Decode a modern zstd body or preserve a legacy raw body with metrics."""
started = time.monotonic()
if not encoding:
return CompressionResult(body, None, len(body), len(body), time.monotonic() - started, "legacy_raw")
if encoding != "zstd":
raise ValueError("unsupported X-Meshnet-Encoding")
try:
import zstandard as zstd
except ImportError as exc:
raise ValueError("zstd support is unavailable") from exc
try:
raw = zstd.ZstdDecompressor().decompress(body)
except zstd.ZstdError as exc:
raise ValueError("invalid zstd activation body") from exc
return CompressionResult(raw, "zstd", len(body), len(raw), time.monotonic() - started, "decompressed")
def _raw(body: bytes, started: float, decision: str) -> CompressionResult:
return CompressionResult(body, None, len(body), len(body), time.monotonic() - started, decision)
def _env_int(name: str, default: int) -> int:
try:
return max(0, int(os.getenv(name, str(default))))
except ValueError:
return default
def _env_float(name: str, default: float) -> float:
try:
return max(0.0, float(os.getenv(name, str(default))))
except ValueError:
return default
def _env_bool(name: str, default: bool) -> bool:
value = os.getenv(name)
if value is None:
return default
return value.strip().lower() not in {"0", "false", "no", "off"}