620 lines
20 KiB
TypeScript
620 lines
20 KiB
TypeScript
import type { DatabaseSync } from "node:sqlite";
|
|
import { type FSWatcher } from "chokidar";
|
|
import fs from "node:fs/promises";
|
|
import path from "node:path";
|
|
import type { ResolvedMemorySearchConfig } from "../agents/memory-search.js";
|
|
import type { OpenClawConfig } from "../config/config.js";
|
|
import type {
|
|
MemoryEmbeddingProbeResult,
|
|
MemoryProviderStatus,
|
|
MemorySearchManager,
|
|
MemorySearchResult,
|
|
MemorySource,
|
|
MemorySyncProgressUpdate,
|
|
} from "./types.js";
|
|
import { resolveAgentDir, resolveAgentWorkspaceDir } from "../agents/agent-scope.js";
|
|
import { resolveMemorySearchConfig } from "../agents/memory-search.js";
|
|
import { createSubsystemLogger } from "../logging/subsystem.js";
|
|
import {
|
|
createEmbeddingProvider,
|
|
type EmbeddingProvider,
|
|
type EmbeddingProviderResult,
|
|
type GeminiEmbeddingClient,
|
|
type OpenAiEmbeddingClient,
|
|
type VoyageEmbeddingClient,
|
|
} from "./embeddings.js";
|
|
import { bm25RankToScore, buildFtsQuery, mergeHybridResults } from "./hybrid.js";
|
|
import { isMemoryPath, normalizeExtraMemoryPaths } from "./internal.js";
|
|
import { MemoryManagerEmbeddingOps } from "./manager-embedding-ops.js";
|
|
import { searchKeyword, searchVector } from "./manager-search.js";
|
|
import { extractKeywords } from "./query-expansion.js";
|
|
const SNIPPET_MAX_CHARS = 700;
|
|
const VECTOR_TABLE = "chunks_vec";
|
|
const FTS_TABLE = "chunks_fts";
|
|
const EMBEDDING_CACHE_TABLE = "embedding_cache";
|
|
const BATCH_FAILURE_LIMIT = 2;
|
|
|
|
const log = createSubsystemLogger("memory");
|
|
|
|
const INDEX_CACHE = new Map<string, MemoryIndexManager>();
|
|
|
|
export class MemoryIndexManager extends MemoryManagerEmbeddingOps implements MemorySearchManager {
|
|
private readonly cacheKey: string;
|
|
protected readonly cfg: OpenClawConfig;
|
|
protected readonly agentId: string;
|
|
protected readonly workspaceDir: string;
|
|
protected readonly settings: ResolvedMemorySearchConfig;
|
|
protected provider: EmbeddingProvider | null;
|
|
private readonly requestedProvider: "openai" | "local" | "gemini" | "voyage" | "auto";
|
|
protected fallbackFrom?: "openai" | "local" | "gemini" | "voyage";
|
|
protected fallbackReason?: string;
|
|
private readonly providerUnavailableReason?: string;
|
|
protected openAi?: OpenAiEmbeddingClient;
|
|
protected gemini?: GeminiEmbeddingClient;
|
|
protected voyage?: VoyageEmbeddingClient;
|
|
protected batch: {
|
|
enabled: boolean;
|
|
wait: boolean;
|
|
concurrency: number;
|
|
pollIntervalMs: number;
|
|
timeoutMs: number;
|
|
};
|
|
protected batchFailureCount = 0;
|
|
protected batchFailureLastError?: string;
|
|
protected batchFailureLastProvider?: string;
|
|
protected batchFailureLock: Promise<void> = Promise.resolve();
|
|
protected db: DatabaseSync;
|
|
protected readonly sources: Set<MemorySource>;
|
|
protected providerKey: string;
|
|
protected readonly cache: { enabled: boolean; maxEntries?: number };
|
|
protected readonly vector: {
|
|
enabled: boolean;
|
|
available: boolean | null;
|
|
extensionPath?: string;
|
|
loadError?: string;
|
|
dims?: number;
|
|
};
|
|
protected readonly fts: {
|
|
enabled: boolean;
|
|
available: boolean;
|
|
loadError?: string;
|
|
};
|
|
protected vectorReady: Promise<boolean> | null = null;
|
|
protected watcher: FSWatcher | null = null;
|
|
protected watchTimer: NodeJS.Timeout | null = null;
|
|
protected sessionWatchTimer: NodeJS.Timeout | null = null;
|
|
protected sessionUnsubscribe: (() => void) | null = null;
|
|
protected intervalTimer: NodeJS.Timeout | null = null;
|
|
protected closed = false;
|
|
protected dirty = false;
|
|
protected sessionsDirty = false;
|
|
protected sessionsDirtyFiles = new Set<string>();
|
|
protected sessionPendingFiles = new Set<string>();
|
|
protected sessionDeltas = new Map<
|
|
string,
|
|
{ lastSize: number; pendingBytes: number; pendingMessages: number }
|
|
>();
|
|
private sessionWarm = new Set<string>();
|
|
private syncing: Promise<void> | null = null;
|
|
|
|
static async get(params: {
|
|
cfg: OpenClawConfig;
|
|
agentId: string;
|
|
purpose?: "default" | "status";
|
|
}): Promise<MemoryIndexManager | null> {
|
|
const { cfg, agentId } = params;
|
|
const settings = resolveMemorySearchConfig(cfg, agentId);
|
|
if (!settings) {
|
|
return null;
|
|
}
|
|
const workspaceDir = resolveAgentWorkspaceDir(cfg, agentId);
|
|
const key = `${agentId}:${workspaceDir}:${JSON.stringify(settings)}`;
|
|
const existing = INDEX_CACHE.get(key);
|
|
if (existing) {
|
|
return existing;
|
|
}
|
|
const providerResult = await createEmbeddingProvider({
|
|
config: cfg,
|
|
agentDir: resolveAgentDir(cfg, agentId),
|
|
provider: settings.provider,
|
|
remote: settings.remote,
|
|
model: settings.model,
|
|
fallback: settings.fallback,
|
|
local: settings.local,
|
|
});
|
|
const manager = new MemoryIndexManager({
|
|
cacheKey: key,
|
|
cfg,
|
|
agentId,
|
|
workspaceDir,
|
|
settings,
|
|
providerResult,
|
|
purpose: params.purpose,
|
|
});
|
|
INDEX_CACHE.set(key, manager);
|
|
return manager;
|
|
}
|
|
|
|
private constructor(params: {
|
|
cacheKey: string;
|
|
cfg: OpenClawConfig;
|
|
agentId: string;
|
|
workspaceDir: string;
|
|
settings: ResolvedMemorySearchConfig;
|
|
providerResult: EmbeddingProviderResult;
|
|
purpose?: "default" | "status";
|
|
}) {
|
|
super();
|
|
this.cacheKey = params.cacheKey;
|
|
this.cfg = params.cfg;
|
|
this.agentId = params.agentId;
|
|
this.workspaceDir = params.workspaceDir;
|
|
this.settings = params.settings;
|
|
this.provider = params.providerResult.provider;
|
|
this.requestedProvider = params.providerResult.requestedProvider;
|
|
this.fallbackFrom = params.providerResult.fallbackFrom;
|
|
this.fallbackReason = params.providerResult.fallbackReason;
|
|
this.providerUnavailableReason = params.providerResult.providerUnavailableReason;
|
|
this.openAi = params.providerResult.openAi;
|
|
this.gemini = params.providerResult.gemini;
|
|
this.voyage = params.providerResult.voyage;
|
|
this.sources = new Set(params.settings.sources);
|
|
this.db = this.openDatabase();
|
|
this.providerKey = this.computeProviderKey();
|
|
this.cache = {
|
|
enabled: params.settings.cache.enabled,
|
|
maxEntries: params.settings.cache.maxEntries,
|
|
};
|
|
this.fts = { enabled: params.settings.query.hybrid.enabled, available: false };
|
|
this.ensureSchema();
|
|
this.vector = {
|
|
enabled: params.settings.store.vector.enabled,
|
|
available: null,
|
|
extensionPath: params.settings.store.vector.extensionPath,
|
|
};
|
|
const meta = this.readMeta();
|
|
if (meta?.vectorDims) {
|
|
this.vector.dims = meta.vectorDims;
|
|
}
|
|
this.ensureWatcher();
|
|
this.ensureSessionListener();
|
|
this.ensureIntervalSync();
|
|
const statusOnly = params.purpose === "status";
|
|
this.dirty = this.sources.has("memory") && (statusOnly ? !meta : true);
|
|
this.batch = this.resolveBatchConfig();
|
|
}
|
|
|
|
async warmSession(sessionKey?: string): Promise<void> {
|
|
if (!this.settings.sync.onSessionStart) {
|
|
return;
|
|
}
|
|
const key = sessionKey?.trim() || "";
|
|
if (key && this.sessionWarm.has(key)) {
|
|
return;
|
|
}
|
|
void this.sync({ reason: "session-start" }).catch((err) => {
|
|
log.warn(`memory sync failed (session-start): ${String(err)}`);
|
|
});
|
|
if (key) {
|
|
this.sessionWarm.add(key);
|
|
}
|
|
}
|
|
|
|
async search(
|
|
query: string,
|
|
opts?: {
|
|
maxResults?: number;
|
|
minScore?: number;
|
|
sessionKey?: string;
|
|
},
|
|
): Promise<MemorySearchResult[]> {
|
|
void this.warmSession(opts?.sessionKey);
|
|
if (this.settings.sync.onSearch && (this.dirty || this.sessionsDirty)) {
|
|
void this.sync({ reason: "search" }).catch((err) => {
|
|
log.warn(`memory sync failed (search): ${String(err)}`);
|
|
});
|
|
}
|
|
const cleaned = query.trim();
|
|
if (!cleaned) {
|
|
return [];
|
|
}
|
|
const minScore = opts?.minScore ?? this.settings.query.minScore;
|
|
const maxResults = opts?.maxResults ?? this.settings.query.maxResults;
|
|
const hybrid = this.settings.query.hybrid;
|
|
const candidates = Math.min(
|
|
200,
|
|
Math.max(1, Math.floor(maxResults * hybrid.candidateMultiplier)),
|
|
);
|
|
|
|
// FTS-only mode: no embedding provider available
|
|
if (!this.provider) {
|
|
if (!this.fts.enabled || !this.fts.available) {
|
|
log.warn("memory search: no provider and FTS unavailable");
|
|
return [];
|
|
}
|
|
|
|
// Extract keywords for better FTS matching on conversational queries
|
|
// e.g., "that thing we discussed about the API" → ["discussed", "API"]
|
|
const keywords = extractKeywords(cleaned);
|
|
const searchTerms = keywords.length > 0 ? keywords : [cleaned];
|
|
|
|
// Search with each keyword and merge results
|
|
const resultSets = await Promise.all(
|
|
searchTerms.map((term) => this.searchKeyword(term, candidates).catch(() => [])),
|
|
);
|
|
|
|
// Merge and deduplicate results, keeping highest score for each chunk
|
|
const seenIds = new Map<string, (typeof resultSets)[0][0]>();
|
|
for (const results of resultSets) {
|
|
for (const result of results) {
|
|
const existing = seenIds.get(result.id);
|
|
if (!existing || result.score > existing.score) {
|
|
seenIds.set(result.id, result);
|
|
}
|
|
}
|
|
}
|
|
|
|
const merged = [...seenIds.values()]
|
|
.toSorted((a, b) => b.score - a.score)
|
|
.filter((entry) => entry.score >= minScore)
|
|
.slice(0, maxResults);
|
|
|
|
return merged;
|
|
}
|
|
|
|
const keywordResults = hybrid.enabled
|
|
? await this.searchKeyword(cleaned, candidates).catch(() => [])
|
|
: [];
|
|
|
|
const queryVec = await this.embedQueryWithTimeout(cleaned);
|
|
const hasVector = queryVec.some((v) => v !== 0);
|
|
const vectorResults = hasVector
|
|
? await this.searchVector(queryVec, candidates).catch(() => [])
|
|
: [];
|
|
|
|
if (!hybrid.enabled) {
|
|
return vectorResults.filter((entry) => entry.score >= minScore).slice(0, maxResults);
|
|
}
|
|
|
|
const merged = await this.mergeHybridResults({
|
|
vector: vectorResults,
|
|
keyword: keywordResults,
|
|
vectorWeight: hybrid.vectorWeight,
|
|
textWeight: hybrid.textWeight,
|
|
mmr: hybrid.mmr,
|
|
temporalDecay: hybrid.temporalDecay,
|
|
});
|
|
|
|
return merged.filter((entry) => entry.score >= minScore).slice(0, maxResults);
|
|
}
|
|
|
|
private async searchVector(
|
|
queryVec: number[],
|
|
limit: number,
|
|
): Promise<Array<MemorySearchResult & { id: string }>> {
|
|
// This method should never be called without a provider
|
|
if (!this.provider) {
|
|
return [];
|
|
}
|
|
const results = await searchVector({
|
|
db: this.db,
|
|
vectorTable: VECTOR_TABLE,
|
|
providerModel: this.provider.model,
|
|
queryVec,
|
|
limit,
|
|
snippetMaxChars: SNIPPET_MAX_CHARS,
|
|
ensureVectorReady: async (dimensions) => await this.ensureVectorReady(dimensions),
|
|
sourceFilterVec: this.buildSourceFilter("c"),
|
|
sourceFilterChunks: this.buildSourceFilter(),
|
|
});
|
|
return results.map((entry) => entry as MemorySearchResult & { id: string });
|
|
}
|
|
|
|
private buildFtsQuery(raw: string): string | null {
|
|
return buildFtsQuery(raw);
|
|
}
|
|
|
|
private async searchKeyword(
|
|
query: string,
|
|
limit: number,
|
|
): Promise<Array<MemorySearchResult & { id: string; textScore: number }>> {
|
|
if (!this.fts.enabled || !this.fts.available) {
|
|
return [];
|
|
}
|
|
const sourceFilter = this.buildSourceFilter();
|
|
// In FTS-only mode (no provider), search all models; otherwise filter by current provider's model
|
|
const providerModel = this.provider?.model;
|
|
const results = await searchKeyword({
|
|
db: this.db,
|
|
ftsTable: FTS_TABLE,
|
|
providerModel,
|
|
query,
|
|
limit,
|
|
snippetMaxChars: SNIPPET_MAX_CHARS,
|
|
sourceFilter,
|
|
buildFtsQuery: (raw) => this.buildFtsQuery(raw),
|
|
bm25RankToScore,
|
|
});
|
|
return results.map((entry) => entry as MemorySearchResult & { id: string; textScore: number });
|
|
}
|
|
|
|
private mergeHybridResults(params: {
|
|
vector: Array<MemorySearchResult & { id: string }>;
|
|
keyword: Array<MemorySearchResult & { id: string; textScore: number }>;
|
|
vectorWeight: number;
|
|
textWeight: number;
|
|
mmr?: { enabled: boolean; lambda: number };
|
|
temporalDecay?: { enabled: boolean; halfLifeDays: number };
|
|
}): Promise<MemorySearchResult[]> {
|
|
return mergeHybridResults({
|
|
vector: params.vector.map((r) => ({
|
|
id: r.id,
|
|
path: r.path,
|
|
startLine: r.startLine,
|
|
endLine: r.endLine,
|
|
source: r.source,
|
|
snippet: r.snippet,
|
|
vectorScore: r.score,
|
|
})),
|
|
keyword: params.keyword.map((r) => ({
|
|
id: r.id,
|
|
path: r.path,
|
|
startLine: r.startLine,
|
|
endLine: r.endLine,
|
|
source: r.source,
|
|
snippet: r.snippet,
|
|
textScore: r.textScore,
|
|
})),
|
|
vectorWeight: params.vectorWeight,
|
|
textWeight: params.textWeight,
|
|
mmr: params.mmr,
|
|
temporalDecay: params.temporalDecay,
|
|
workspaceDir: this.workspaceDir,
|
|
}).then((entries) => entries.map((entry) => entry as MemorySearchResult));
|
|
}
|
|
|
|
async sync(params?: {
|
|
reason?: string;
|
|
force?: boolean;
|
|
progress?: (update: MemorySyncProgressUpdate) => void;
|
|
}): Promise<void> {
|
|
if (this.syncing) {
|
|
return this.syncing;
|
|
}
|
|
this.syncing = this.runSync(params).finally(() => {
|
|
this.syncing = null;
|
|
});
|
|
return this.syncing ?? Promise.resolve();
|
|
}
|
|
|
|
async readFile(params: {
|
|
relPath: string;
|
|
from?: number;
|
|
lines?: number;
|
|
}): Promise<{ text: string; path: string }> {
|
|
const rawPath = params.relPath.trim();
|
|
if (!rawPath) {
|
|
throw new Error("path required");
|
|
}
|
|
const absPath = path.isAbsolute(rawPath)
|
|
? path.resolve(rawPath)
|
|
: path.resolve(this.workspaceDir, rawPath);
|
|
const relPath = path.relative(this.workspaceDir, absPath).replace(/\\/g, "/");
|
|
const inWorkspace =
|
|
relPath.length > 0 && !relPath.startsWith("..") && !path.isAbsolute(relPath);
|
|
const allowedWorkspace = inWorkspace && isMemoryPath(relPath);
|
|
let allowedAdditional = false;
|
|
if (!allowedWorkspace && this.settings.extraPaths.length > 0) {
|
|
const additionalPaths = normalizeExtraMemoryPaths(
|
|
this.workspaceDir,
|
|
this.settings.extraPaths,
|
|
);
|
|
for (const additionalPath of additionalPaths) {
|
|
try {
|
|
const stat = await fs.lstat(additionalPath);
|
|
if (stat.isSymbolicLink()) {
|
|
continue;
|
|
}
|
|
if (stat.isDirectory()) {
|
|
if (absPath === additionalPath || absPath.startsWith(`${additionalPath}${path.sep}`)) {
|
|
allowedAdditional = true;
|
|
break;
|
|
}
|
|
continue;
|
|
}
|
|
if (stat.isFile()) {
|
|
if (absPath === additionalPath && absPath.endsWith(".md")) {
|
|
allowedAdditional = true;
|
|
break;
|
|
}
|
|
}
|
|
} catch {}
|
|
}
|
|
}
|
|
if (!allowedWorkspace && !allowedAdditional) {
|
|
throw new Error("path required");
|
|
}
|
|
if (!absPath.endsWith(".md")) {
|
|
throw new Error("path required");
|
|
}
|
|
const stat = await fs.lstat(absPath);
|
|
if (stat.isSymbolicLink() || !stat.isFile()) {
|
|
throw new Error("path required");
|
|
}
|
|
const content = await fs.readFile(absPath, "utf-8");
|
|
if (!params.from && !params.lines) {
|
|
return { text: content, path: relPath };
|
|
}
|
|
const lines = content.split("\n");
|
|
const start = Math.max(1, params.from ?? 1);
|
|
const count = Math.max(1, params.lines ?? lines.length);
|
|
const slice = lines.slice(start - 1, start - 1 + count);
|
|
return { text: slice.join("\n"), path: relPath };
|
|
}
|
|
|
|
status(): MemoryProviderStatus {
|
|
const sourceFilter = this.buildSourceFilter();
|
|
const files = this.db
|
|
.prepare(`SELECT COUNT(*) as c FROM files WHERE 1=1${sourceFilter.sql}`)
|
|
.get(...sourceFilter.params) as {
|
|
c: number;
|
|
};
|
|
const chunks = this.db
|
|
.prepare(`SELECT COUNT(*) as c FROM chunks WHERE 1=1${sourceFilter.sql}`)
|
|
.get(...sourceFilter.params) as {
|
|
c: number;
|
|
};
|
|
const sourceCounts = (() => {
|
|
const sources = Array.from(this.sources);
|
|
if (sources.length === 0) {
|
|
return [];
|
|
}
|
|
const bySource = new Map<MemorySource, { files: number; chunks: number }>();
|
|
for (const source of sources) {
|
|
bySource.set(source, { files: 0, chunks: 0 });
|
|
}
|
|
const fileRows = this.db
|
|
.prepare(
|
|
`SELECT source, COUNT(*) as c FROM files WHERE 1=1${sourceFilter.sql} GROUP BY source`,
|
|
)
|
|
.all(...sourceFilter.params) as Array<{ source: MemorySource; c: number }>;
|
|
for (const row of fileRows) {
|
|
const entry = bySource.get(row.source) ?? { files: 0, chunks: 0 };
|
|
entry.files = row.c ?? 0;
|
|
bySource.set(row.source, entry);
|
|
}
|
|
const chunkRows = this.db
|
|
.prepare(
|
|
`SELECT source, COUNT(*) as c FROM chunks WHERE 1=1${sourceFilter.sql} GROUP BY source`,
|
|
)
|
|
.all(...sourceFilter.params) as Array<{ source: MemorySource; c: number }>;
|
|
for (const row of chunkRows) {
|
|
const entry = bySource.get(row.source) ?? { files: 0, chunks: 0 };
|
|
entry.chunks = row.c ?? 0;
|
|
bySource.set(row.source, entry);
|
|
}
|
|
return sources.map((source) => Object.assign({ source }, bySource.get(source)!));
|
|
})();
|
|
|
|
// Determine search mode: "fts-only" if no provider, "hybrid" otherwise
|
|
const searchMode = this.provider ? "hybrid" : "fts-only";
|
|
const providerInfo = this.provider
|
|
? { provider: this.provider.id, model: this.provider.model }
|
|
: { provider: "none", model: undefined };
|
|
|
|
return {
|
|
backend: "builtin",
|
|
files: files?.c ?? 0,
|
|
chunks: chunks?.c ?? 0,
|
|
dirty: this.dirty || this.sessionsDirty,
|
|
workspaceDir: this.workspaceDir,
|
|
dbPath: this.settings.store.path,
|
|
provider: providerInfo.provider,
|
|
model: providerInfo.model,
|
|
requestedProvider: this.requestedProvider,
|
|
sources: Array.from(this.sources),
|
|
extraPaths: this.settings.extraPaths,
|
|
sourceCounts,
|
|
cache: this.cache.enabled
|
|
? {
|
|
enabled: true,
|
|
entries:
|
|
(
|
|
this.db.prepare(`SELECT COUNT(*) as c FROM ${EMBEDDING_CACHE_TABLE}`).get() as
|
|
| { c: number }
|
|
| undefined
|
|
)?.c ?? 0,
|
|
maxEntries: this.cache.maxEntries,
|
|
}
|
|
: { enabled: false, maxEntries: this.cache.maxEntries },
|
|
fts: {
|
|
enabled: this.fts.enabled,
|
|
available: this.fts.available,
|
|
error: this.fts.loadError,
|
|
},
|
|
fallback: this.fallbackReason
|
|
? { from: this.fallbackFrom ?? "local", reason: this.fallbackReason }
|
|
: undefined,
|
|
vector: {
|
|
enabled: this.vector.enabled,
|
|
available: this.vector.available ?? undefined,
|
|
extensionPath: this.vector.extensionPath,
|
|
loadError: this.vector.loadError,
|
|
dims: this.vector.dims,
|
|
},
|
|
batch: {
|
|
enabled: this.batch.enabled,
|
|
failures: this.batchFailureCount,
|
|
limit: BATCH_FAILURE_LIMIT,
|
|
wait: this.batch.wait,
|
|
concurrency: this.batch.concurrency,
|
|
pollIntervalMs: this.batch.pollIntervalMs,
|
|
timeoutMs: this.batch.timeoutMs,
|
|
lastError: this.batchFailureLastError,
|
|
lastProvider: this.batchFailureLastProvider,
|
|
},
|
|
custom: {
|
|
searchMode,
|
|
providerUnavailableReason: this.providerUnavailableReason,
|
|
},
|
|
};
|
|
}
|
|
|
|
async probeVectorAvailability(): Promise<boolean> {
|
|
// FTS-only mode: vector search not available
|
|
if (!this.provider) {
|
|
return false;
|
|
}
|
|
if (!this.vector.enabled) {
|
|
return false;
|
|
}
|
|
return this.ensureVectorReady();
|
|
}
|
|
|
|
async probeEmbeddingAvailability(): Promise<MemoryEmbeddingProbeResult> {
|
|
// FTS-only mode: embeddings not available but search still works
|
|
if (!this.provider) {
|
|
return {
|
|
ok: false,
|
|
error: this.providerUnavailableReason ?? "No embedding provider available (FTS-only mode)",
|
|
};
|
|
}
|
|
try {
|
|
await this.embedBatchWithRetry(["ping"]);
|
|
return { ok: true };
|
|
} catch (err) {
|
|
const message = err instanceof Error ? err.message : String(err);
|
|
return { ok: false, error: message };
|
|
}
|
|
}
|
|
|
|
async close(): Promise<void> {
|
|
if (this.closed) {
|
|
return;
|
|
}
|
|
this.closed = true;
|
|
if (this.watchTimer) {
|
|
clearTimeout(this.watchTimer);
|
|
this.watchTimer = null;
|
|
}
|
|
if (this.sessionWatchTimer) {
|
|
clearTimeout(this.sessionWatchTimer);
|
|
this.sessionWatchTimer = null;
|
|
}
|
|
if (this.intervalTimer) {
|
|
clearInterval(this.intervalTimer);
|
|
this.intervalTimer = null;
|
|
}
|
|
if (this.watcher) {
|
|
await this.watcher.close();
|
|
this.watcher = null;
|
|
}
|
|
if (this.sessionUnsubscribe) {
|
|
this.sessionUnsubscribe();
|
|
this.sessionUnsubscribe = null;
|
|
}
|
|
this.db.close();
|
|
INDEX_CACHE.delete(this.cacheKey);
|
|
}
|
|
}
|