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24f95f0 5f91e0b 24f95f0 5f91e0b 24f95f0 | 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 | from __future__ import annotations
import json
from datetime import datetime
from pathlib import Path
import glob
import logging
import time
import uuid
from typing import Optional
from app.config import MEMORY_DIR, DATA_DIR
logger = logging.getLogger(__name__)
Path(MEMORY_DIR).mkdir(parents=True, exist_ok=True)
KNOWLEDGE_DIR = DATA_DIR / "knowledge"
KNOWLEDGE_DIR.mkdir(parents=True, exist_ok=True)
KNOWLEDGE_QUERY_LOG = DATA_DIR / "adaptive" / "knowledge_query_log.json"
def save_case(case_id: str, payload: dict) -> str:
path = Path(MEMORY_DIR) / f"{case_id}.json"
payload["saved_at"] = datetime.utcnow().isoformat()
with open(path, "w", encoding="utf-8") as f:
json.dump(payload, f, indent=2, ensure_ascii=False)
return str(path)
class KnowledgeStore:
"""
Simple keyword match over knowledge JSON files.
Each file is expected to be a dict or list of dicts with a 'text' field.
Upgrade to embedding-based retrieval when ready.
"""
def _load_query_log(self) -> list[dict]:
if not KNOWLEDGE_QUERY_LOG.exists():
return []
try:
return json.loads(KNOWLEDGE_QUERY_LOG.read_text(encoding="utf-8"))
except Exception:
return []
def _save_query_log(self, entries: list[dict]) -> None:
try:
KNOWLEDGE_QUERY_LOG.parent.mkdir(parents=True, exist_ok=True)
KNOWLEDGE_QUERY_LOG.write_text(
json.dumps(entries[-100:], indent=2), encoding="utf-8"
)
except Exception as exc:
logger.debug("KnowledgeStore query log save failed: %s", exc)
def _record_query(self, query: str, domain: str, result_count: int) -> None:
log = self._load_query_log()
log.append(
{
"query": query,
"domain": domain,
"result_count": result_count,
"timestamp": time.time(),
}
)
self._save_query_log(log)
def _iter_items(self) -> list[dict]:
items: list[dict] = []
pattern = str(KNOWLEDGE_DIR / "*.json")
for path in glob.glob(pattern):
try:
data = json.loads(Path(path).read_text(encoding="utf-8"))
if isinstance(data, list):
items.extend(item for item in data if isinstance(item, dict))
elif isinstance(data, dict):
items.append(data)
except Exception:
continue
return items
def save_knowledge(self, item: dict) -> str:
item_id = item.get("id") or str(uuid.uuid4())
payload = dict(item)
payload["id"] = item_id
payload.setdefault("saved_at", datetime.utcnow().isoformat())
path = KNOWLEDGE_DIR / f"{item_id}.json"
path.write_text(json.dumps(payload, indent=2, ensure_ascii=False), encoding="utf-8")
return item_id
def list_all(self, limit: Optional[int] = None) -> list[dict]:
items = self._iter_items()
def _sort_key(item: dict) -> float:
marker = item.get("saved_at") or item.get("timestamp")
if isinstance(marker, (int, float)):
return float(marker)
if isinstance(marker, str) and marker:
try:
return datetime.fromisoformat(marker.replace("Z", "+00:00")).timestamp()
except ValueError:
return 0.0
return 0.0
items.sort(
key=_sort_key,
reverse=True,
)
return items[:limit] if limit else items
def search(
self,
query: str,
domain: str = "general",
top_k: int = 5,
limit: Optional[int] = None,
**kwargs,
) -> list[dict]:
if kwargs:
logger.debug(f"KnowledgeStore.search ignoring: {kwargs}")
results = []
query_lower = query.lower()
requested = limit or top_k
for item in self._iter_items():
item_domain = item.get("domain") or item.get("topic") or "general"
if domain not in ("", "general") and domain not in str(item_domain).lower():
continue
text = " ".join(
[
str(item.get("text", "")),
str(item.get("content", "")),
str(item.get("summary", "")),
str(item.get("title", "")),
str(item.get("topic", "")),
]
).lower()
if any(word for word in query_lower.split() if word in text):
results.append(item)
if len(results) >= requested:
break
self._record_query(query, domain, len(results))
return results
def get_recent_queries(self, limit: int = 20) -> list[dict]:
return list(reversed(self._load_query_log()))[:limit]
def get_stats(self) -> dict:
items = self._iter_items()
domain_counts: dict[str, int] = {}
for item in items:
domain = str(item.get("domain") or item.get("topic") or "general")
domain_counts[domain] = domain_counts.get(domain, 0) + 1
return {
"total_queries": len(self._load_query_log()),
"total_entities": 0,
"total_links": 0,
"domain_counts": domain_counts,
"knowledge_items": len(items),
}
knowledge_store = KnowledgeStore()
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