{"version":3,"file":"indexer-backend-CdvCJCkD.mjs","names":[],"sources":["../src/memory/indexer/async.ts"],"sourcesContent":["/**\n * Backend-aware async indexer for PAI federation memory.\n *\n * Provides the same functionality as sync.ts but writes through the\n * StorageBackend interface instead of directly to better-sqlite3.\n * Used when the daemon is configured with the Postgres backend.\n *\n * The SQLite path still uses sync.ts directly (which is faster for SQLite\n * due to synchronous transactions).\n */\n\nimport { readFileSync, statSync, existsSync } from \"node:fs\";\nimport { join, relative, basename } from \"node:path\";\nimport type { Database } from \"better-sqlite3\";\nimport type { StorageBackend, ChunkRow } from \"../../storage/interface.js\";\nimport { chunkMarkdown } from \"../chunker.js\";\nimport {\n sha256File,\n chunkId,\n detectTier,\n walkMdFiles,\n walkContentFiles,\n isPathTooBroadForContentScan,\n parseSessionTitleChunk,\n yieldToEventLoop,\n INDEX_YIELD_EVERY,\n} from \"./helpers.js\";\nimport type { IndexResult } from \"./types.js\";\n\nexport type { IndexResult };\n\n// ---------------------------------------------------------------------------\n// Single-file indexing via StorageBackend\n// ---------------------------------------------------------------------------\n\n/**\n * Index a single file through the StorageBackend interface.\n * Returns true if the file was re-indexed (changed or new), false if skipped.\n */\nexport async function indexFileWithBackend(\n backend: StorageBackend,\n projectId: number,\n rootPath: string,\n relativePath: string,\n source: string,\n tier: string,\n): Promise {\n const absPath = join(rootPath, relativePath);\n\n let content: string;\n let stat: ReturnType;\n try {\n content = readFileSync(absPath, \"utf8\");\n stat = statSync(absPath);\n } catch {\n return false;\n }\n\n const hash = sha256File(content);\n const mtime = Math.floor(stat.mtimeMs);\n const size = stat.size;\n\n // Change detection\n const existingHash = await backend.getFileHash(projectId, relativePath);\n if (existingHash === hash) return false;\n\n // Delete old chunks\n await backend.deleteChunksForFile(projectId, relativePath);\n\n // Chunk the content\n const rawChunks = chunkMarkdown(content);\n const updatedAt = Date.now();\n\n const chunks: ChunkRow[] = rawChunks.map((c, i) => ({\n id: chunkId(projectId, relativePath, i, c.startLine, c.endLine),\n projectId,\n source,\n tier,\n path: relativePath,\n startLine: c.startLine,\n endLine: c.endLine,\n hash: c.hash,\n text: c.text,\n updatedAt,\n embedding: null,\n }));\n\n // Insert chunks + update file record\n await backend.insertChunks(chunks);\n await backend.upsertFile({ projectId, path: relativePath, source, tier, hash, mtime, size });\n\n return true;\n}\n\n// ---------------------------------------------------------------------------\n// Project-level indexing via StorageBackend\n// ---------------------------------------------------------------------------\n\nexport async function indexProjectWithBackend(\n backend: StorageBackend,\n projectId: number,\n rootPath: string,\n claudeNotesDir?: string | null,\n): Promise {\n const result: IndexResult = { filesProcessed: 0, chunksCreated: 0, filesSkipped: 0 };\n\n const filesToIndex: Array<{ absPath: string; rootBase: string; source: string; tier: string }> = [];\n\n const rootMemoryMd = join(rootPath, \"MEMORY.md\");\n if (existsSync(rootMemoryMd)) {\n filesToIndex.push({ absPath: rootMemoryMd, rootBase: rootPath, source: \"memory\", tier: \"evergreen\" });\n }\n\n const memoryDir = join(rootPath, \"memory\");\n for (const absPath of walkMdFiles(memoryDir)) {\n const relPath = relative(rootPath, absPath);\n const tier = detectTier(relPath);\n filesToIndex.push({ absPath, rootBase: rootPath, source: \"memory\", tier });\n }\n\n const notesDir = join(rootPath, \"Notes\");\n for (const absPath of walkMdFiles(notesDir)) {\n filesToIndex.push({ absPath, rootBase: rootPath, source: \"notes\", tier: \"session\" });\n }\n\n // Synthetic session-title chunks for Notes files\n {\n const updatedAt = Date.now();\n for (const absPath of walkMdFiles(notesDir)) {\n const fileName = basename(absPath);\n const text = parseSessionTitleChunk(fileName);\n if (!text) continue;\n const relPath = relative(rootPath, absPath);\n const syntheticPath = `${relPath}::title`;\n const id = chunkId(projectId, syntheticPath, 0, 0, 0);\n const hash = sha256File(text);\n const titleChunk: ChunkRow = {\n id, projectId, source: \"notes\", tier: \"session\",\n path: syntheticPath, startLine: 0, endLine: 0,\n hash, text, updatedAt, embedding: null,\n };\n try {\n await backend.insertChunks([titleChunk]);\n } catch {\n // Skip title chunks that cause backend errors\n }\n }\n }\n\n if (!isPathTooBroadForContentScan(rootPath)) {\n for (const absPath of walkContentFiles(rootPath)) {\n filesToIndex.push({ absPath, rootBase: rootPath, source: \"content\", tier: \"topic\" });\n }\n }\n\n if (claudeNotesDir && claudeNotesDir !== notesDir) {\n for (const absPath of walkMdFiles(claudeNotesDir)) {\n filesToIndex.push({ absPath, rootBase: claudeNotesDir, source: \"notes\", tier: \"session\" });\n }\n\n // Synthetic title chunks for claude notes dir\n {\n const updatedAt = Date.now();\n for (const absPath of walkMdFiles(claudeNotesDir)) {\n const fileName = basename(absPath);\n const text = parseSessionTitleChunk(fileName);\n if (!text) continue;\n const relPath = relative(claudeNotesDir, absPath);\n const syntheticPath = `${relPath}::title`;\n const id = chunkId(projectId, syntheticPath, 0, 0, 0);\n const hash = sha256File(text);\n const titleChunk: ChunkRow = {\n id, projectId, source: \"notes\", tier: \"session\",\n path: syntheticPath, startLine: 0, endLine: 0,\n hash, text, updatedAt, embedding: null,\n };\n try {\n await backend.insertChunks([titleChunk]);\n } catch {\n // Skip title chunks that cause backend errors\n }\n }\n }\n\n if (claudeNotesDir.endsWith(\"/Notes\")) {\n const claudeProjectDir = claudeNotesDir.slice(0, -\"/Notes\".length);\n const claudeMemoryMd = join(claudeProjectDir, \"MEMORY.md\");\n if (existsSync(claudeMemoryMd)) {\n filesToIndex.push({ absPath: claudeMemoryMd, rootBase: claudeProjectDir, source: \"memory\", tier: \"evergreen\" });\n }\n const claudeMemoryDir = join(claudeProjectDir, \"memory\");\n for (const absPath of walkMdFiles(claudeMemoryDir)) {\n const relPath = relative(claudeProjectDir, absPath);\n const tier = detectTier(relPath);\n filesToIndex.push({ absPath, rootBase: claudeProjectDir, source: \"memory\", tier });\n }\n }\n }\n\n await yieldToEventLoop();\n\n let filesSinceYield = 0;\n\n for (const { absPath, rootBase, source, tier } of filesToIndex) {\n if (filesSinceYield >= INDEX_YIELD_EVERY) {\n await yieldToEventLoop();\n filesSinceYield = 0;\n }\n filesSinceYield++;\n\n const relPath = relative(rootBase, absPath);\n try {\n const changed = await indexFileWithBackend(backend, projectId, rootBase, relPath, source, tier);\n\n if (changed) {\n const ids = await backend.getChunkIds(projectId, relPath);\n result.filesProcessed++;\n result.chunksCreated += ids.length;\n } else {\n result.filesSkipped++;\n }\n } catch {\n // Skip files that cause backend errors (e.g. null bytes in Postgres)\n result.filesSkipped++;\n }\n }\n\n // Prune stale paths\n const livePaths = new Set();\n for (const { absPath, rootBase } of filesToIndex) {\n livePaths.add(relative(rootBase, absPath));\n }\n\n const dbChunkPaths = await backend.getDistinctChunkPaths(projectId);\n\n const stalePaths: string[] = [];\n for (const p of dbChunkPaths) {\n const basePath = p.endsWith(\"::title\") ? p.slice(0, -\"::title\".length) : p;\n if (!livePaths.has(basePath)) {\n stalePaths.push(p);\n }\n }\n\n if (stalePaths.length > 0) {\n await backend.deletePaths(projectId, stalePaths);\n }\n\n return result;\n}\n\n// ---------------------------------------------------------------------------\n// Embedding generation via StorageBackend\n// ---------------------------------------------------------------------------\n\nconst EMBED_BATCH_SIZE = 50;\nconst EMBED_YIELD_EVERY = 1;\n\n/** Default ceiling on one pass. See EmbedPassOptions. */\nconst DEFAULT_MAX_CHUNKS_PER_PASS = 5_000;\n/** Default wall-clock ceiling on one pass, in milliseconds. */\nconst DEFAULT_MAX_MILLIS_PER_PASS = 120_000;\n\nexport interface EmbedPassOptions {\n /**\n * Stop the pass after this many chunks. Unbounded passes are the reason a\n * six-figure backlog starves the indexer: the daemon serialises indexing and\n * embedding against each other, so a pass that runs for hours means nothing\n * new gets indexed for hours. Bounding the pass costs nothing — every\n * embedding is written as it is produced, so the next pass resumes exactly\n * where this one stopped.\n */\n maxChunks?: number;\n /** Stop the pass after this much wall-clock time, whichever bound hits first. */\n maxMillis?: number;\n}\n\n/**\n * Generate and store embeddings for unembedded chunks via the StorageBackend.\n *\n * The pass is deliberately bounded (see EmbedPassOptions) and resumable: it\n * takes a slice of the backlog, embeds it, and returns so the scheduler can run\n * an index pass before coming back. Draining the whole backlog in one call\n * starves indexing for as long as the call runs.\n *\n * The optional `shouldStop` callback is checked between every batch. When it\n * returns true the embed loop exits early so the caller (e.g. the daemon\n * shutdown handler) can close the pool without racing against active queries.\n *\n * Returns the number of newly embedded chunks.\n */\nexport async function embedChunksWithBackend(\n backend: StorageBackend,\n shouldStop?: () => boolean,\n projectNames?: Map,\n options?: EmbedPassOptions,\n): Promise {\n const { generateEmbeddings, serializeEmbedding } = await import(\"../embeddings.js\");\n\n const maxChunks = options?.maxChunks ?? DEFAULT_MAX_CHUNKS_PER_PASS;\n const maxMillis = options?.maxMillis ?? DEFAULT_MAX_MILLIS_PER_PASS;\n const deadline = Date.now() + maxMillis;\n\n const rows = await backend.getUnembeddedChunkIds(undefined, maxChunks);\n if (rows.length === 0) return 0;\n\n const total = rows.length;\n let embedded = 0;\n\n // Build a summary of what needs embedding: count chunks per project_id\n const projectChunkCounts = new Map();\n for (const row of rows) {\n const entry = projectChunkCounts.get(row.project_id);\n if (entry) {\n entry.count++;\n } else {\n projectChunkCounts.set(row.project_id, { count: 1, samplePath: row.path });\n }\n }\n const pName = (pid: number) => projectNames?.get(pid) ?? `project ${pid}`;\n const projectSummary = Array.from(projectChunkCounts.entries())\n .map(([pid, { count, samplePath }]) => ` ${pName(pid)}: ${count} chunks (e.g. ${samplePath})`)\n .join(\"\\n\");\n process.stderr.write(\n `[pai-daemon] Embed pass: ${total} unembedded chunks across ${projectChunkCounts.size} project(s)\\n${projectSummary}\\n`\n );\n\n // Track current project for transition logging\n let currentProjectId = -1;\n let projectEmbedded = 0;\n\n for (let i = 0; i < rows.length; i += EMBED_BATCH_SIZE) {\n // Check cancellation between every batch before touching the pool again\n if (shouldStop?.()) {\n process.stderr.write(\n `[pai-daemon] Embed pass cancelled after ${embedded}/${total} chunks (shutdown requested)\\n`\n );\n break;\n }\n\n // Yield the daemon back to the indexer rather than run past the deadline.\n // The remaining rows are simply picked up by the next scheduled pass.\n if (Date.now() >= deadline) {\n process.stderr.write(\n `[pai-daemon] Embed pass yielding after ${embedded}/${total} chunks (${maxMillis}ms budget spent); resuming next pass\\n`\n );\n break;\n }\n\n const batch = rows.slice(i, i + EMBED_BATCH_SIZE);\n\n // Keep IPC responsive: the forward pass below is synchronous inside the\n // model, so yield before entering it rather than between chunks.\n await yieldToEventLoop();\n\n const vecs = await generateEmbeddings(batch.map((r) => r.text));\n // Issue the writes together rather than one round-trip at a time. Measured\n // on this machine the model embeds 40-67 chunks/s in isolation while the\n // daemon managed ~5/s: the difference was one sequential UPDATE per chunk,\n // so the pass spent most of its budget waiting on the network, not working.\n // Concurrency is bounded by the batch size, which the pool handles; the\n // SQLite backend is synchronous and simply ignores the difference.\n await Promise.all(\n batch.map((row, j) => backend.updateEmbedding(row.id, serializeEmbedding(vecs[j])))\n );\n\n // Attribute the batch to projects only after it is durably stored, and walk\n // it in order so a batch straddling a project boundary credits each side\n // correctly. Rows arrive ordered by project, so a boundary is a real\n // transition, not the per-chunk flapping this logging used to produce.\n for (const { project_id, path } of batch) {\n if (project_id !== currentProjectId) {\n if (currentProjectId !== -1) {\n process.stderr.write(\n `[pai-daemon] Finished ${pName(currentProjectId)}: ${projectEmbedded} chunks embedded\\n`\n );\n }\n const info = projectChunkCounts.get(project_id);\n process.stderr.write(\n `[pai-daemon] Embedding ${pName(project_id)} (${info?.count ?? \"?\"} chunks, starting at ${path})\\n`\n );\n currentProjectId = project_id;\n projectEmbedded = 0;\n }\n projectEmbedded++;\n }\n\n embedded += batch.length;\n\n // Log progress with current file path for context\n const lastChunk = batch[batch.length - 1];\n process.stderr.write(\n `[pai-daemon] Embedded ${embedded}/${total} chunks (${pName(lastChunk.project_id)}: ${lastChunk.path})\\n`\n );\n }\n\n // Log final project completion\n if (currentProjectId !== -1) {\n process.stderr.write(\n `[pai-daemon] Finished ${pName(currentProjectId)}: ${projectEmbedded} chunks embedded\\n`\n );\n }\n\n return embedded;\n}\n\n// ---------------------------------------------------------------------------\n// Global indexing via StorageBackend\n// ---------------------------------------------------------------------------\n\nexport async function indexAllWithBackend(\n backend: StorageBackend,\n registryDb: Database,\n): Promise<{ projects: number; result: IndexResult }> {\n const projects = registryDb\n .prepare(\"SELECT id, root_path, claude_notes_dir FROM projects WHERE status = 'active'\")\n .all() as Array<{ id: number; root_path: string; claude_notes_dir: string | null }>;\n\n const totals: IndexResult = { filesProcessed: 0, chunksCreated: 0, filesSkipped: 0 };\n\n for (const project of projects) {\n await yieldToEventLoop();\n const r = await indexProjectWithBackend(backend, project.id, project.root_path, project.claude_notes_dir);\n totals.filesProcessed += r.filesProcessed;\n totals.chunksCreated += r.chunksCreated;\n totals.filesSkipped += r.filesSkipped;\n }\n\n return { projects: projects.length, result: totals 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