Files
wehub-resource-sync 555e282cc4
pi-agent-plugin checks / lint (push) Has been cancelled
pi-agent-plugin checks / test (20) (push) Has been cancelled
pi-agent-plugin checks / test (22) (push) Has been cancelled
pi-agent-plugin checks / build (push) Has been cancelled
TypeScript SDK CI / check_changes (push) Has been cancelled
TypeScript SDK CI / changelog_check (push) Has been cancelled
ci / changelog_check (push) Has been cancelled
ci / check_changes (push) Has been cancelled
ci / build_mem0 (3.10) (push) Has been cancelled
ci / build_mem0 (3.11) (push) Has been cancelled
ci / build_mem0 (3.12) (push) Has been cancelled
CLI Node CI / lint (push) Has been cancelled
CLI Node CI / test (20) (push) Has been cancelled
CLI Node CI / test (22) (push) Has been cancelled
CLI Node CI / build (push) Has been cancelled
CLI Python CI / lint (push) Has been cancelled
CLI Python CI / test (3.10) (push) Has been cancelled
CLI Python CI / test (3.11) (push) Has been cancelled
CLI Python CI / test (3.12) (push) Has been cancelled
CLI Python CI / build (push) Has been cancelled
openclaw checks / lint (push) Has been cancelled
openclaw checks / test (20) (push) Has been cancelled
openclaw checks / test (22) (push) Has been cancelled
openclaw checks / build (push) Has been cancelled
opencode-plugin checks / build (push) Has been cancelled
TypeScript SDK CI / build_ts_sdk (20) (push) Has been cancelled
TypeScript SDK CI / build_ts_sdk (22) (push) Has been cancelled
TypeScript SDK CI / integration_ts_sdk (20) (push) Has been cancelled
TypeScript SDK CI / integration_ts_sdk (22) (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 13:03:45 +08:00

167 lines
5.2 KiB
Python

import json
import logging
import os
import tempfile
import uuid
from hashlib import sha256
# Set up the directory path
VECTOR_ID = str(uuid.uuid4())
home_dir = os.path.expanduser("~")
mem0_dir = os.environ.get("MEM0_DIR") or os.path.join(home_dir, ".mem0")
os.makedirs(mem0_dir, exist_ok=True)
_logger = logging.getLogger(__name__)
def _config_path():
return os.path.join(mem0_dir, "config.json")
def _load_config():
"""Load ~/.mem0/config.json, returning {} on missing/malformed file."""
path = _config_path()
if not os.path.exists(path):
return {}
try:
with open(path, "r") as f:
data = json.load(f)
return data if isinstance(data, dict) else {}
except Exception as e:
_logger.debug("Failed to load mem0 config %s: %s", path, e)
return {}
def _write_config(config):
"""Best-effort write of ~/.mem0/config.json. Never raises."""
path = _config_path()
temp_path = None
try:
os.makedirs(os.path.dirname(path), exist_ok=True)
with tempfile.NamedTemporaryFile("w", dir=os.path.dirname(path), delete=False) as f:
temp_path = f.name
json.dump(config, f, indent=4)
f.flush()
os.fsync(f.fileno())
os.replace(temp_path, path)
except Exception as e:
if temp_path:
try:
os.unlink(temp_path)
except OSError:
pass
_logger.debug("Failed to write mem0 config %s: %s", path, e)
def setup_config():
"""Ensure ~/.mem0/config.json exists with a top-level user_id.
Idempotent: backfills user_id for users whose config was written by the
CLI (which writes telemetry.anonymous_id but no top-level user_id).
Without this, OSS Python telemetry is silently dropped because
get_user_id() returns None when user_id is missing.
"""
config = _load_config()
if config.get("user_id"):
return
config["user_id"] = str(uuid.uuid4())
_write_config(config)
def get_user_id():
config = _load_config()
if not config:
return "anonymous_user"
return config.get("user_id")
def read_anon_ids():
"""Return anon IDs and alias markers from ~/.mem0/config.json.
Returns a dict with keys "oss", "cli", "aliased_pairs" (IDs may be
None). OSS Python writes top-level "user_id"; the CLI writes
"telemetry.anonymous_id". They may coexist depending on which surface ran
first.
"""
config = _load_config()
telemetry = config.get("telemetry") if isinstance(config.get("telemetry"), dict) else {}
aliased_pairs = telemetry.get("aliased_pairs")
return {
"oss": config.get("user_id"),
"cli": telemetry.get("anonymous_id"),
"aliased_pairs": aliased_pairs if isinstance(aliased_pairs, list) else [],
}
def _alias_pair_marker(anon_id, email):
return sha256(f"{anon_id}\0{email}".encode("utf-8")).hexdigest()
def is_aliased(anon_id, email):
"""Return whether anon_id -> email has already been identified."""
if not anon_id or not email:
return False
config = _load_config()
telemetry = config.get("telemetry") if isinstance(config.get("telemetry"), dict) else {}
aliased_pairs = telemetry.get("aliased_pairs")
if not isinstance(aliased_pairs, list):
return False
return _alias_pair_marker(anon_id, email) in aliased_pairs
def mark_aliased(anon_id, email):
"""Persist an anon_id -> email alias marker so $identify fires once per pair.
The marker is hashed to avoid storing platform emails in the local config.
"""
if not anon_id or not email:
return
config = _load_config()
telemetry = config.get("telemetry")
if not isinstance(telemetry, dict):
telemetry = {}
aliased_pairs = telemetry.get("aliased_pairs")
if not isinstance(aliased_pairs, list):
aliased_pairs = []
marker = _alias_pair_marker(anon_id, email)
if marker not in aliased_pairs:
aliased_pairs.append(marker)
telemetry["aliased_pairs"] = aliased_pairs
config["telemetry"] = telemetry
_write_config(config)
def get_or_create_user_id(vector_store=None):
"""Store user_id in vector store and return it.
If vector_store is None, simply returns the user_id from config.
This ensures telemetry initialization never fails due to missing vector store.
"""
user_id = get_user_id()
# If no vector store provided, just return the user_id
if vector_store is None:
return user_id
# Try to get existing user_id from vector store
try:
existing = vector_store.get(vector_id=user_id)
if existing and hasattr(existing, "payload") and existing.payload and "user_id" in existing.payload:
stored_id = existing.payload["user_id"]
# Ensure we never return None from vector store
if stored_id is not None:
return stored_id
except Exception:
pass
# If we get here, we need to insert the user_id
try:
dims = getattr(vector_store, "embedding_model_dims", 1536)
vector_store.insert(
vectors=[[0.1] * dims], payloads=[{"user_id": user_id, "type": "user_identity"}], ids=[user_id]
)
except Exception:
pass
return user_id