Files
memind/memory-v2-qdrant.mjs
2026-07-03 09:46:03 +08:00

212 lines
6.1 KiB
JavaScript

const DEFAULT_COLLECTION = 'memind_memory';
const DEFAULT_LIMIT = 8;
const DEFAULT_TIMEOUT_MS = 3000;
function normalizeUrl(value) {
const raw = String(value ?? '').trim();
if (!raw) return null;
try {
const url = new URL(raw);
if (!['http:', 'https:'].includes(url.protocol)) {
throw new Error(`Unsupported Qdrant URL protocol: ${url.protocol}`);
}
return url.toString().replace(/\/$/, '');
} catch (err) {
throw new Error(`Invalid MEMORY_QDRANT_URL: ${err instanceof Error ? err.message : err}`);
}
}
function normalizeCollection(value) {
const collection = String(value ?? DEFAULT_COLLECTION).trim();
if (!/^[a-zA-Z0-9_-]+$/.test(collection)) {
throw new Error(`Invalid Qdrant collection name: ${collection}`);
}
return collection;
}
function normalizeVector(value) {
if (!Array.isArray(value)) return null;
const vector = value.map((item) => Number(item));
if (!vector.length || vector.some((item) => !Number.isFinite(item))) return null;
return vector;
}
function normalizePayload(payload = {}) {
const text = String(
payload.content ?? payload.text ?? payload.memory_text ?? payload.memoryText ?? '',
).trim();
if (!text) return null;
return {
id: payload.id == null ? null : String(payload.id),
label: payload.type ?? payload.label ?? 'semantic',
text,
createdAt: payload.created_at ?? payload.createdAt ?? null,
};
}
function normalizePoint(point = {}) {
const payload = normalizePayload(point.payload ?? {});
if (!payload) return null;
return {
id: point.id == null ? payload.id : String(point.id),
label: payload.label,
text: payload.text,
score: point.score == null ? null : Number(point.score),
createdAt: payload.createdAt,
};
}
function timeoutSignal(timeoutMs) {
if (!Number.isFinite(timeoutMs) || timeoutMs <= 0) return null;
const controller = new AbortController();
const timeout = setTimeout(() => controller.abort(), timeoutMs);
return {
signal: controller.signal,
clear() {
clearTimeout(timeout);
},
};
}
export function createQdrantHttpClient({
url,
apiKey = null,
fetchImpl = globalThis.fetch,
timeoutMs = DEFAULT_TIMEOUT_MS,
} = {}) {
const resolvedUrl = normalizeUrl(url);
if (!resolvedUrl) throw new Error('createQdrantHttpClient requires MEMORY_QDRANT_URL');
if (typeof fetchImpl !== 'function') {
throw new Error('createQdrantHttpClient requires fetch');
}
async function requestJson(path, body) {
const timeout = timeoutSignal(Number(timeoutMs));
try {
const response = await fetchImpl(`${resolvedUrl}${path}`, {
method: 'POST',
headers: {
'content-type': 'application/json',
...(apiKey ? { 'api-key': String(apiKey) } : {}),
},
body: JSON.stringify(body),
...(timeout?.signal ? { signal: timeout.signal } : {}),
});
if (!response?.ok) {
throw new Error(`Qdrant request failed: ${response?.status ?? 'unknown'}`);
}
return response.json();
} finally {
timeout?.clear();
}
}
return {
async search({ collection, vector, userId, limit = DEFAULT_LIMIT } = {}) {
const resolvedCollection = normalizeCollection(collection);
const resolvedVector = normalizeVector(vector);
if (!resolvedVector) return [];
const body = {
vector: resolvedVector,
limit: Math.max(1, Math.min(50, Number(limit) || DEFAULT_LIMIT)),
with_payload: true,
filter: userId
? {
must: [
{
key: 'user_id',
match: { value: String(userId) },
},
],
}
: undefined,
};
const data = await requestJson(`/collections/${resolvedCollection}/points/search`, body);
return Array.isArray(data?.result) ? data.result : [];
},
};
}
export function createQdrantMemoryBackend({
enabled = false,
url = null,
collection = DEFAULT_COLLECTION,
client = null,
embedQuery = null,
defaultLimit = DEFAULT_LIMIT,
unavailableReason = null,
} = {}) {
const resolvedUrl = normalizeUrl(url);
const resolvedCollection = normalizeCollection(collection);
const configured = Boolean(enabled && resolvedUrl && resolvedCollection);
const hasClient = Boolean(client?.search);
const hasEmbedding = typeof embedQuery === 'function';
const wired = Boolean(configured && hasClient && hasEmbedding);
const reason = unavailableReason
?? (enabled
? (
!resolvedUrl
? 'url_not_configured'
: (!hasClient ? 'client_not_configured' : 'embedding_module_not_configured')
)
: 'not_configured');
async function resolveVector(input) {
const explicit = normalizeVector(input?.embedding);
if (explicit) return explicit;
if (typeof embedQuery !== 'function' || !input?.query) return null;
return normalizeVector(await embedQuery(input.query, input));
}
return {
name: 'qdrant',
category: 'semantic',
role: 'scale-out-vector-store',
flag: 'MEMORY_QDRANT_ENABLED',
unavailableReason: reason,
url: resolvedUrl,
collection: resolvedCollection,
isAvailable() {
return Boolean(wired);
},
getUnavailableReason() {
return this.isAvailable() ? null : reason;
},
async resolve(input = {}) {
if (!this.isAvailable()) {
return {
memories: [],
semanticMemories: [],
behaviorSummary: null,
activeGoals: [],
};
}
const vector = await resolveVector(input);
if (!vector) {
return {
memories: [],
semanticMemories: [],
behaviorSummary: null,
activeGoals: [],
};
}
const points = await client.search({
collection: resolvedCollection,
vector,
userId: input.userId,
limit: input.limit ?? defaultLimit,
});
const memories = points.map((point) => normalizePoint(point)).filter(Boolean);
return {
memories,
semanticMemories: memories.map((memory) => memory.text),
behaviorSummary: null,
activeGoals: [],
};
},
};
}