File size: 5,686 Bytes
bd2c25a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 | #!/usr/bin/env python
from __future__ import annotations
import argparse
import json
import os
import sys
import time
from pathlib import Path
from typing import Any
PROJECT_ROOT = Path(__file__).resolve().parents[1]
SRC_ROOT = PROJECT_ROOT / "src"
if str(SRC_ROOT) not in sys.path:
sys.path.insert(0, str(SRC_ROOT))
def _parse_simple_assertion(text: str) -> tuple[str, str] | None:
cleaned_chars: list[str] = []
for ch in str(text or "").strip().lower():
if ch.isalnum() or ch in {" ", "_", "-"}:
cleaned_chars.append(ch)
else:
cleaned_chars.append(" ")
normalized = " ".join("".join(cleaned_chars).split())
if not normalized:
return None
tokens = normalized.split()
if len(tokens) < 3:
return None
try:
predicate_index = tokens.index("is")
except ValueError:
return None
if predicate_index <= 0 or predicate_index >= (len(tokens) - 1):
return None
subject = " ".join(tokens[:predicate_index]).strip()
remainder = tokens[predicate_index + 1 :]
polarity_prefix = "yes:"
if remainder and remainder[0] == "not":
polarity_prefix = "not:"
remainder = remainder[1:]
value = " ".join(remainder).strip()
if len(subject) < 2 or len(subject) > 80 or not value or len(value) > 120:
return None
return subject, f"{polarity_prefix}{value}"
def _memory_path(default_path: str) -> str:
env_value = str(os.environ.get("MEMORY_PATH", "")).strip()
if env_value:
return env_value
return default_path
def _contradiction_report(store: Any, *, limit: int) -> dict[str, Any]:
entries = sorted(
store.recent(limit=limit, include_inactive=True),
key=lambda item: float(getattr(item, "created_at", 0.0) or 0.0),
)
assertions: dict[str, dict[str, Any]] = {}
contradictions: list[dict[str, Any]] = []
for entry in entries:
parsed = _parse_simple_assertion(getattr(entry, "text", ""))
if parsed is None:
continue
subject, value = parsed
previous = assertions.get(subject)
current = {
"memory_id": int(getattr(entry, "id", 0) or 0),
"value": value,
"created_at": float(getattr(entry, "created_at", 0.0) or 0.0),
"source": str(getattr(entry, "source", "")),
"text": str(getattr(entry, "text", "")),
}
if previous is not None and str(previous.get("value", "")) != value:
contradictions.append(
{
"subject": subject,
"previous_memory_id": int(previous.get("memory_id", 0) or 0),
"previous_value": str(previous.get("value", "")),
"current_memory_id": int(current.get("memory_id", 0) or 0),
"current_value": value,
"current_created_at": float(current.get("created_at", 0.0) or 0.0),
}
)
assertions[subject] = current
return {
"scanned": len(entries),
"contradiction_count": len(contradictions),
"subjects_with_assertions": len(assertions),
"rows": contradictions[:200],
}
def run() -> int:
parser = argparse.ArgumentParser(
description="Run nightly memory maintenance (doctor, compaction flush, contradiction report)."
)
parser.add_argument(
"--memory-path",
default="",
help="Path to memory sqlite file (defaults to MEMORY_PATH env or ~/.jarvis/memory.sqlite).",
)
parser.add_argument(
"--scan-limit",
type=int,
default=500,
help="How many recent memory entries to scan for contradiction reporting.",
)
parser.add_argument(
"--vacuum",
action="store_true",
help="Run SQLite VACUUM after optimization.",
)
parser.add_argument(
"--output",
default=".artifacts/quality/memory-maintenance.json",
help="Path to write JSON report.",
)
args = parser.parse_args()
scan_limit = max(50, min(5000, int(args.scan_limit)))
output_path = Path(args.output)
output_path.parent.mkdir(parents=True, exist_ok=True)
memory_path = str(args.memory_path).strip() or _memory_path(os.path.expanduser("~/.jarvis/memory.sqlite"))
from jarvis.memory import MemoryStore
started = time.time()
store = MemoryStore(memory_path)
try:
doctor = store.memory_doctor()
flush_payload = store.pre_compaction_flush(reason="nightly_memory_maintenance")
store.optimize()
vacuum_ran = False
if bool(args.vacuum):
store.vacuum()
vacuum_ran = True
contradiction_report = _contradiction_report(store, limit=scan_limit)
report = {
"generated_at": time.time(),
"duration_sec": max(0.0, time.time() - started),
"memory_path": memory_path,
"doctor": doctor,
"compaction": {
"pre_compaction_flush": flush_payload,
"optimize_ran": True,
"vacuum_ran": vacuum_ran,
},
"contradictions": contradiction_report,
"status": (
"ok"
if str(doctor.get("status", "")).strip().lower() == "ok"
and int(contradiction_report.get("contradiction_count", 0) or 0) == 0
else "review"
),
}
finally:
store.close()
text = json.dumps(report, indent=2)
output_path.write_text(text, encoding="utf-8")
print(text)
return 0
if __name__ == "__main__":
raise SystemExit(run())
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