From 35d155ba6bcd78f7a6f4257450027282d76872b0 Mon Sep 17 00:00:00 2001 From: Himanshu Shekhar Date: Fri, 29 May 2026 03:11:01 +0530 Subject: [PATCH 1/5] feat(files): Docling extraction + MINT document serialization Adds a Docling-based file extractor (python/docling_extract.py, spawned by docling-client.service.ts) as the default, with graceful fallback to the existing Gemini extractor on any failure. Extracted document structure is serialized to MINT via the new mint-mapper (encodeDocument from @q1k-oss/mint-format >=1.1.0) and stored in files.mint_content for token-efficient prompt injection. - file.types: DocumentStructure gains figures[] + section pageRef - schema: files.mint_content column (apply via db:push) - config: extractor option ('docling' | 'gemini') - adds CLAUDE.md (extractor flow, Docling/uv setup, MINT usage) - scripts/smoke-docling.ts verifies the structure -> MINT path --- CLAUDE.md | 50 +++++++ package.json | 2 +- pyproject.toml | 11 ++ python/docling_extract.py | 134 +++++++++++++++++++ scripts/smoke-docling.ts | 61 +++++++++ src/config.ts | 2 + src/db/schema/files.ts | 2 + src/services/files/docling-client.service.ts | 65 +++++++++ src/services/files/file-processor.service.ts | 50 +++++-- src/services/files/mint-mapper.ts | 80 +++++++++++ src/types/file.types.ts | 7 + 11 files changed, 451 insertions(+), 13 deletions(-) create mode 100644 CLAUDE.md create mode 100644 pyproject.toml create mode 100644 python/docling_extract.py create mode 100644 scripts/smoke-docling.ts create mode 100644 src/services/files/docling-client.service.ts create mode 100644 src/services/files/mint-mapper.ts diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 0000000..d133aea --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,50 @@ +# CLAUDE.md + +Guidance for Claude Code when working in the **context-engine** repo. + +## What this is + +`@q1k-oss/context-engine` — a TypeScript SDK + HTTP service for the customer-knowledge layer: file ingestion, knowledge-graph extraction, and prioritized-context retrieval for LLM prompts. It is consumed by `q1k-controlplane` as a vendored npm dependency (with a patch). Initialize with `initContextEngine({ databaseUrl, ... })` before using any service. + +## Commands + +```bash +npm run dev # tsx watch src/server.ts +npm run build # tsc -> dist/ +npm run start # node dist/server.js +npm run db:push # apply schema to the DB (this repo uses push, not migrations) +npm run db:studio +``` + +## File extraction (upload → knowledge graph) + +`POST /api/files/upload` → `fileProcessorService.saveFile` (writes to `uploadDir`, default `./uploads`) → async `processFile`: + +1. **Extract** via the configured extractor: + - `extractor: 'docling'` (default) — `doclingClientService` spawns `python/docling_extract.py` (Docling). On any failure it **falls back to Gemini**, so a missing Python/Docling runtime degrades gracefully. + - `extractor: 'gemini'` — `geminiClientService` (extraction only, never reasoning). + Both return the same `ExtractedContent` shape (`src/types/file.types.ts`). +2. **Serialize to MINT** — `structureToMint` (`src/services/files/mint-mapper.ts`) encodes the document `structure` via `@q1k-oss/mint-format`'s `encodeDocument` and stores it in `files.mint_content` for token-efficient prompt injection. +3. **Integrate into the graph** — `integrateIntoGraph` creates `Artifact` + `Entity` nodes/edges. + +### Docling (Python) setup + +Docling is a Python dependency (`pyproject.toml`), not bundled with the JS package. To run the default extractor locally: + +```bash +uv sync # installs Docling (first run pulls ML models, ~hundreds of MB) +npx tsx scripts/smoke-docling.ts # MINT-mapping smoke (no Docling needed) +npx tsx scripts/smoke-docling.ts file.pdf # real Docling extraction on a file +``` + +Override the Python command with `DOCLING_CMD` (default `uv run python`). The script must emit valid JSON to stdout or exit non-zero (the TS caller falls back to Gemini on failure). + +## MINT usage + +MINT (`@q1k-oss/mint-format`) is used to pack data into LLM prompts token-efficiently: graph nodes/edges (`claude-client.service.ts`, `encode`) and now parsed documents (`encodeDocument`, see the mapper above). Requires `@q1k-oss/mint-format` ≥ 1.1.0 (adds `encodeDocument`/`decodeDocument`). + +## Conventions + +- ESM, NodeNext module resolution — **import with `.js` extensions** even from `.ts`. +- Schema in `src/db/schema/*.ts`; apply with `db:push`. +- HTTP routes currently use a trusted-caller pattern (no JWT yet) — q1k-auth middleware is a planned hardening item. diff --git a/package.json b/package.json index ef582a9..3972905 100644 --- a/package.json +++ b/package.json @@ -86,7 +86,7 @@ "dependencies": { "@anthropic-ai/sdk": "^0.39.0", "@google/generative-ai": "^0.21.0", - "@q1k-oss/mint-format": "^1.0.2", + "@q1k-oss/mint-format": "^1.1.0", "cors": "^2.8.5", "drizzle-orm": "^0.38.3", "express": "^4.21.2", diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..c090259 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,11 @@ +[project] +name = "context-engine-docling" +version = "0.1.0" +description = "Docling extraction adapter for context-engine file ingestion" +requires-python = ">=3.11" +dependencies = [ + "docling>=2.0.0", +] + +[tool.uv] +package = false diff --git a/python/docling_extract.py b/python/docling_extract.py new file mode 100644 index 0000000..002c2fa --- /dev/null +++ b/python/docling_extract.py @@ -0,0 +1,134 @@ +#!/usr/bin/env python3 +"""Docling extraction adapter for context-engine. + +Reads a single file path (argv[1]), parses it with Docling, and prints a JSON +object to stdout matching the TypeScript `ExtractedContent` shape: + + { + "textContent": str, + "structure": { + "title": str | None, + "sections": [{"heading": str, "content": str, "level": int, "pageRef": int | None}], + "tables": [{"caption": str | None, "headers": [str], "rows": [[str]]}], + "lists": [{"type": "ordered" | "unordered", "items": [str]}], + "figures": [{"caption": str | None, "pageRef": int | None}] + }, + "metadata": {"pageCount": int, "wordCount": int, "characterCount": int} + } + +The TS caller (`docling-client.service.ts`) spawns this and falls back to the +Gemini extractor on a non-zero exit, so this script must fail loudly (exit 1 + +stderr) rather than emit partial JSON. + +Run: `uv run python python/docling_extract.py ` +""" + +import json +import sys + + +def _page_of(item) -> "int | None": + prov = getattr(item, "prov", None) + if prov: + first = prov[0] if isinstance(prov, (list, tuple)) else prov + return getattr(first, "page_no", None) + return None + + +def extract(path: str) -> dict: + from docling.document_converter import DocumentConverter + + doc = DocumentConverter().convert(path).document + + text_content = doc.export_to_markdown() + + sections: list[dict] = [] + lists: list[dict] = [] + current_list: "dict | None" = None + + for item in getattr(doc, "texts", []) or []: + label = str(getattr(item, "label", "")).lower() + text = (getattr(item, "text", "") or "").strip() + if not text: + continue + + if "list_item" in label: + if current_list is None: + current_list = {"type": "unordered", "items": []} + lists.append(current_list) + current_list["items"].append(text) + continue + current_list = None # any non-list item closes the run + + if "section_header" in label or "title" in label: + sections.append( + { + "heading": text, + "content": "", + "level": int(getattr(item, "level", 1) or 1), + "pageRef": _page_of(item), + } + ) + else: + if not sections: + sections.append({"heading": "", "content": "", "level": 1, "pageRef": _page_of(item)}) + sections[-1]["content"] = (sections[-1]["content"] + "\n" + text).strip() + + tables: list[dict] = [] + for tbl in getattr(doc, "tables", []) or []: + try: + df = tbl.export_to_dataframe() + headers = [str(c) for c in df.columns.tolist()] + rows = [[("" if v is None else str(v)) for v in row] for row in df.values.tolist()] + except Exception: + headers, rows = [], [] + caption = None + try: + caption = tbl.caption_text(doc) or None + except Exception: + pass + tables.append({"caption": caption, "headers": headers, "rows": rows}) + + figures: list[dict] = [] + for pic in getattr(doc, "pictures", []) or []: + caption = None + try: + caption = pic.caption_text(doc) or None + except Exception: + pass + figures.append({"caption": caption, "pageRef": _page_of(pic)}) + + title = sections[0]["heading"] if sections and sections[0]["heading"] else None + + return { + "textContent": text_content, + "structure": { + "title": title, + "sections": sections, + "tables": tables, + "lists": lists, + "figures": figures, + }, + "metadata": { + "pageCount": len(getattr(doc, "pages", []) or []), + "wordCount": len(text_content.split()), + "characterCount": len(text_content), + }, + } + + +def main() -> int: + if len(sys.argv) < 2: + print("usage: docling_extract.py ", file=sys.stderr) + return 2 + try: + result = extract(sys.argv[1]) + except Exception as exc: # noqa: BLE001 — surface any failure to the TS caller + print(f"docling extraction failed: {exc}", file=sys.stderr) + return 1 + json.dump(result, sys.stdout, ensure_ascii=False) + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/scripts/smoke-docling.ts b/scripts/smoke-docling.ts new file mode 100644 index 0000000..4aa62ee --- /dev/null +++ b/scripts/smoke-docling.ts @@ -0,0 +1,61 @@ +/** + * Smoke test for the Docling → MINT path. + * + * Always runs the deterministic MINT-mapping check (no Docling needed): + * npx tsx scripts/smoke-docling.ts + * + * Optionally runs the real Docling extractor on a file (requires `uv sync` + * to have installed Docling + first-run model download): + * npx tsx scripts/smoke-docling.ts path/to/sample.pdf + */ +import { decodeDocument } from '@q1k-oss/mint-format'; +import { structureToMint } from '../src/services/files/mint-mapper.js'; +import { doclingClientService } from '../src/services/files/docling-client.service.js'; +import type { DocumentStructure } from '../src/types/index.js'; + +const sample: DocumentStructure = { + title: 'Sample SOP', + sections: [ + { heading: 'Overview', content: 'Covers returns within 30 days.', level: 1, pageRef: 1 }, + { heading: 'Eligibility', content: 'Items must be unused.', level: 2, pageRef: 2 }, + ], + tables: [{ caption: 'Windows', headers: ['Category', 'Days'], rows: [['Apparel', '30']] }], + lists: [{ type: 'ordered', items: ['Inspect item', 'Issue refund'] }], + figures: [{ caption: 'Refund flow', pageRef: 2 }], +}; + +function assert(cond: boolean, msg: string): void { + if (!cond) throw new Error(`SMOKE FAIL: ${msg}`); +} + +async function main(): Promise { + const mint = structureToMint(sample, { pageCount: 4, author: 'Acme' }); + console.log('--- MINT ---\n' + mint + '\n'); + + assert(mint.includes('§1 Overview'), 'heading not rendered'); + assert(mint.includes('| Category | Days |'), 'table not rendered'); + assert(mint.includes('1. Inspect item'), 'ordered list not rendered'); + assert(mint.includes('@fig:'), 'figure not rendered'); + + const decoded = decodeDocument(mint); + assert(decoded.sections.length >= 2, 'sections lost on decode round-trip'); + console.log(`MINT mapping OK — ${decoded.sections.length} sections round-tripped.\n`); + + const file = process.argv[2]; + if (file) { + console.log(`Running Docling on ${file} ...`); + const r = await doclingClientService.extractFromFile({ storagePath: file, mimeType: 'application/pdf' }); + if (!r.success) { + console.log(`Docling failed (expected if not installed): ${r.error}`); + return; + } + const s = r.extractedContent?.structure; + assert(!!s, 'docling returned no structure'); + console.log('Docling OK. MINT preview:\n' + structureToMint(s!, r.extractedContent?.metadata).slice(0, 500)); + } +} + +main().catch((err) => { + console.error(err); + process.exit(1); +}); diff --git a/src/config.ts b/src/config.ts index 3205da1..8d52eff 100644 --- a/src/config.ts +++ b/src/config.ts @@ -19,6 +19,8 @@ export interface ContextEngineConfig { claudeModel?: string; /** Gemini model for file extraction (default: 'gemini-2.0-flash-exp') */ geminiModel?: string; + /** File extractor: 'docling' (Python subprocess, default) or 'gemini'. */ + extractor?: 'docling' | 'gemini'; /** PostgreSQL connection pool size (default: 10) */ dbPoolSize?: number; /** PostgreSQL connection idle timeout in seconds (default: 30) */ diff --git a/src/db/schema/files.ts b/src/db/schema/files.ts index b9471d8..a7c4126 100644 --- a/src/db/schema/files.ts +++ b/src/db/schema/files.ts @@ -10,6 +10,8 @@ export const files = pgTable('files', { fileSize: integer('file_size').notNull(), storagePath: text('storage_path').notNull(), extractedContent: jsonb('extracted_content'), + // MINT-serialized document (encodeDocument output) for token-efficient prompt injection. + mintContent: text('mint_content'), processingStatus: varchar('processing_status', { length: 20 }).default('pending').notNull(), processingError: text('processing_error'), createdAt: timestamp('created_at', { withTimezone: true }).defaultNow().notNull(), diff --git a/src/services/files/docling-client.service.ts b/src/services/files/docling-client.service.ts new file mode 100644 index 0000000..fc5cbb6 --- /dev/null +++ b/src/services/files/docling-client.service.ts @@ -0,0 +1,65 @@ +import { spawn } from 'child_process'; +import * as path from 'path'; +import { fileURLToPath } from 'url'; +import type { ExtractedContent } from '../../types/index.js'; + +export interface DoclingExtractionRequest { + /** Absolute or relative path to the file on disk. */ + storagePath: string; + mimeType: string; +} + +export interface DoclingExtractionResponse { + success: boolean; + extractedContent?: ExtractedContent; + error?: string; +} + +// This file lives at /src/services/files (dev) or /dist/services/files +// (built) — both are three levels under the package root, where python/ sits. +const PACKAGE_ROOT = path.resolve(path.dirname(fileURLToPath(import.meta.url)), '../../../'); +const SCRIPT_PATH = path.join(PACKAGE_ROOT, 'python', 'docling_extract.py'); + +/** + * Docling-backed file extraction. Spawns the Python adapter (`docling_extract.py`) + * and parses its JSON into `ExtractedContent`. The Python command defaults to + * `uv run python` (resolves the pyproject env) and can be overridden via + * `DOCLING_CMD` (space-separated, e.g. "python3"). + * + * Returns `{ success: false }` on any failure so the caller can fall back to the + * Gemini extractor rather than throwing. + */ +export const doclingClientService = { + async extractFromFile(request: DoclingExtractionRequest): Promise { + const parts = (process.env.DOCLING_CMD ?? 'uv run python').split(/\s+/).filter(Boolean); + const cmd = parts[0] ?? 'python3'; + const args = [...parts.slice(1), SCRIPT_PATH, request.storagePath]; + + return new Promise((resolve) => { + let stdout = ''; + let stderr = ''; + // spawn does not throw synchronously for a missing binary — it emits an + // 'error' event, handled below — so no try/catch is needed here. + const child = spawn(cmd, args, { cwd: PACKAGE_ROOT }); + + child.stdout.on('data', (d: Buffer) => (stdout += d.toString())); + child.stderr.on('data', (d: Buffer) => (stderr += d.toString())); + child.on('error', (err: Error) => resolve({ success: false, error: err.message })); + child.on('close', (code: number | null) => { + if (code !== 0) { + resolve({ success: false, error: stderr.trim() || `docling exited with code ${code}` }); + return; + } + try { + const extractedContent = JSON.parse(stdout) as ExtractedContent; + resolve({ success: true, extractedContent }); + } catch (err) { + resolve({ + success: false, + error: `failed to parse docling output: ${err instanceof Error ? err.message : err}`, + }); + } + }); + }); + }, +}; diff --git a/src/services/files/file-processor.service.ts b/src/services/files/file-processor.service.ts index 2297876..134d1a0 100644 --- a/src/services/files/file-processor.service.ts +++ b/src/services/files/file-processor.service.ts @@ -6,6 +6,8 @@ import * as fs from 'fs/promises'; import * as path from 'path'; import type { FileMetadata, ExtractedContent, NodeType } from '../../types/index.js'; import { geminiClientService } from '../llm/gemini-client.service.js'; +import { doclingClientService } from './docling-client.service.js'; +import { structureToMint } from './mint-mapper.js'; import { relationshipInferrerService } from '../knowledge-graph/relationship-inferrer.service.js'; import { AppError } from '../../middleware/error-handler.js'; import { getConfig } from '../../config.js'; @@ -89,32 +91,56 @@ export const fileProcessorService = { throw new AppError('FILE_NOT_FOUND', 'File not found', 404); } - // Read file content - const fileBuffer = await fs.readFile(fileRecord.storagePath); - const base64Content = fileBuffer.toString('base64'); + // Extract content (EXTRACTION ONLY — no reasoning). Docling is the + // default; on any failure we fall back to the Gemini extractor so a + // missing Python/Docling runtime degrades gracefully. + let extractionResult: { success: boolean; extractedContent?: ExtractedContent; error?: string } | undefined; - // Extract content using Gemini (EXTRACTION ONLY) - const extractionResult = await geminiClientService.extractFromFile({ - fileId, - mimeType: fileRecord.mimeType, - fileContent: base64Content, - }); + if ((getConfig().extractor ?? 'docling') === 'docling') { + const docling = await doclingClientService.extractFromFile({ + storagePath: fileRecord.storagePath, + mimeType: fileRecord.mimeType, + }); + if (docling.success) { + extractionResult = docling; + } else { + console.warn(`Docling extraction failed for ${fileId}, falling back to Gemini: ${docling.error}`); + } + } - if (!extractionResult.success) { + if (!extractionResult) { + const fileBuffer = await fs.readFile(fileRecord.storagePath); + const base64Content = fileBuffer.toString('base64'); + extractionResult = await geminiClientService.extractFromFile({ + fileId, + mimeType: fileRecord.mimeType, + fileContent: base64Content, + }); + } + + if (!extractionResult.success || !extractionResult.extractedContent) { throw new Error(extractionResult.error || 'Extraction failed'); } + const extracted = extractionResult.extractedContent; + + // Serialize the document structure to MINT for token-efficient prompt use. + const mintContent = extracted.structure + ? structureToMint(extracted.structure, extracted.metadata) + : null; + // Update file record with extracted content await getDb() .update(files) .set({ - extractedContent: extractionResult.extractedContent, + extractedContent: extracted, + mintContent, processingStatus: 'completed', }) .where(eq(files.id, fileId)); // Create knowledge graph nodes from extracted content - await this.integrateIntoGraph(fileRecord.sessionId, fileId, extractionResult.extractedContent!); + await this.integrateIntoGraph(fileRecord.sessionId, fileId, extracted); } catch (error) { console.error('File processing error:', error); diff --git a/src/services/files/mint-mapper.ts b/src/services/files/mint-mapper.ts new file mode 100644 index 0000000..339936b --- /dev/null +++ b/src/services/files/mint-mapper.ts @@ -0,0 +1,80 @@ +import { + encodeDocument, + type MintDocument, + type MintSection, +} from '@q1k-oss/mint-format'; +import type { DocumentStructure, DocumentMetadata } from '../../types/index.js'; + +/** + * Map an extracted document (Docling/Gemini `DocumentStructure`) onto a + * `MintDocument`. `DocumentStructure` keeps sections / tables / lists / figures + * as parallel arrays, so tables/lists/figures are grouped into trailing + * sections — enough for token-efficient, lossless prompt injection. + */ +export function toMintDocument( + structure: DocumentStructure, + metadata?: DocumentMetadata +): MintDocument { + const sections: MintSection[] = []; + + for (const s of structure.sections ?? []) { + sections.push({ + heading: s.heading, + level: s.level ?? 1, + blocks: s.content ? [{ type: 'text', text: s.content }] : [], + }); + } + + if (structure.tables?.length) { + sections.push({ + heading: 'Tables', + level: 1, + blocks: structure.tables.map((t) => ({ + type: 'table' as const, + table: { caption: t.caption, headers: t.headers, rows: t.rows }, + })), + }); + } + + if (structure.lists?.length) { + sections.push({ + heading: 'Lists', + level: 1, + blocks: structure.lists.map((l) => ({ + type: 'list' as const, + list: { ordered: l.type === 'ordered', items: l.items }, + })), + }); + } + + if (structure.figures?.length) { + sections.push({ + heading: 'Figures', + level: 1, + blocks: structure.figures.map((f) => ({ + type: 'figure' as const, + figure: { caption: f.caption, page: f.pageRef }, + })), + }); + } + + const meta: Record = {}; + if (metadata?.pageCount != null) meta.pages = metadata.pageCount; + if (metadata?.wordCount != null) meta.words = metadata.wordCount; + if (metadata?.author) meta.author = metadata.author; + if (metadata?.language) meta.language = metadata.language; + + return { + title: structure.title, + metadata: Object.keys(meta).length ? meta : undefined, + sections, + }; +} + +/** Convenience: structure → MINT string. */ +export function structureToMint( + structure: DocumentStructure, + metadata?: DocumentMetadata +): string { + return encodeDocument(toMintDocument(structure, metadata)); +} diff --git a/src/types/file.types.ts b/src/types/file.types.ts index 1b34a99..f07d1db 100644 --- a/src/types/file.types.ts +++ b/src/types/file.types.ts @@ -48,6 +48,8 @@ export interface DocumentStructure { heading: string; content: string; level?: number; + /** 1-based page the section starts on (Docling provenance), if known. */ + pageRef?: number; }>; tables?: Array<{ caption?: string; @@ -58,6 +60,11 @@ export interface DocumentStructure { type: 'ordered' | 'unordered'; items: string[]; }>; + /** Figures/images extracted from the document (Docling pictures). */ + figures?: Array<{ + caption?: string; + pageRef?: number; + }>; } export interface ExtractedEntities { From 9376d51f37b32b919c22c4562ec6f40b30ceee62 Mon Sep 17 00:00:00 2001 From: Himanshu Shekhar Date: Fri, 29 May 2026 04:16:40 +0530 Subject: [PATCH 2/5] ci: add minimal CI (npm ci + build) on PRs --- .github/workflows/ci.yml | 21 +++++++++++++++++++++ 1 file changed, 21 insertions(+) create mode 100644 .github/workflows/ci.yml diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 0000000..056fa1a --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,21 @@ +name: CI + +on: + pull_request: + push: + branches: [main] + +jobs: + build: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + + - uses: actions/setup-node@v4 + with: + node-version: 20 + registry-url: https://registry.npmjs.org + + - run: npm ci + + - run: npm run build From 9d94aa905b33d30d6552bcd3b2cf9b267ce98757 Mon Sep 17 00:00:00 2001 From: Avinash Kumar Date: Sun, 31 May 2026 18:44:10 +0530 Subject: [PATCH 3/5] feat(track-a): context-engine as a pure extraction library (ADR-037) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Make context-engine consumable in-process by q1k-controlplane's Temporal activities (no HTTP service in the doc-ingestion path). Sprint M Track A. - Docling device fix: python/docling_extract.py reads DOCLING_DEVICE (default cpu) and pins AcceleratorOptions — fixes the Apple-Silicon RT-DETR-v2 float64-on-MPS crash. Verified: real PDF extracts cleanly, device=cpu, no patch. - New pure chunker: chunkDocument(structure, opts) → DocumentChunk[] (§-boundary chunks + overlap, stable chunkIndex = idempotency key, provenance sectionRef/ pageRef). +6 unit tests. - Delete orchestration (A9): processFile/saveFile/integrateIntoGraph + the file-upload route. CE no longer owns ingestion state; controlplane drives it. No existing tests referenced these (60 existing tests still green). - Clean library exports: doclingClientService, structureToMint/toMintDocument, chunkDocument + types from src/index.ts. - Packaging: ship python/ + pyproject.toml in the npm `files` field so the Docling adapter travels with the library (the consuming worker resolves the Python env via DOCLING_CMD). - Add `npm test` (vitest run) — repo had no test script. - CLAUDE.md rewritten to the library role. Verified real-stack: smoke-docling.ts → MINT round-trip + chunking + real Docling on a sample SOP PDF all green; 66 unit tests pass. Co-Authored-By: Claude Opus 4.8 (1M context) --- CLAUDE.md | 60 +- package.json | 8 +- python/docling_extract.py | 29 +- scripts/smoke-docling.ts | 15 +- src/__tests__/chunker.test.ts | 61 + src/app.ts | 6 +- src/index.ts | 9 +- src/routes/files.routes.ts | 126 - src/services/files/chunker.ts | 120 + src/services/files/file-processor.service.ts | 324 --- uv.lock | 2691 ++++++++++++++++++ 11 files changed, 2962 insertions(+), 487 deletions(-) create mode 100644 src/__tests__/chunker.test.ts delete mode 100644 src/routes/files.routes.ts create mode 100644 src/services/files/chunker.ts delete mode 100644 src/services/files/file-processor.service.ts create mode 100644 uv.lock diff --git a/CLAUDE.md b/CLAUDE.md index d133aea..f7e40b5 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -4,47 +4,55 @@ Guidance for Claude Code when working in the **context-engine** repo. ## What this is -`@q1k-oss/context-engine` — a TypeScript SDK + HTTP service for the customer-knowledge layer: file ingestion, knowledge-graph extraction, and prioritized-context retrieval for LLM prompts. It is consumed by `q1k-controlplane` as a vendored npm dependency (with a patch). Initialize with `initContextEngine({ databaseUrl, ... })` before using any service. +`@q1k-oss/context-engine` — a TypeScript **library** (plus an optional standalone HTTP server) for the customer-knowledge layer: document extraction, knowledge-graph building, and prioritized-context retrieval. + +**Primary consumption (ADR-037): as a library.** `q1k-controlplane`'s Temporal worker imports this package and calls its pure functions **in-process** inside activities — there is no deployed context-engine HTTP service in the document-ingestion path. context-engine owns the *domain logic* (Docling/Gemini extraction, entity extraction, MINT mapping, chunking); durability/retry/concurrency/persistence live in controlplane's Temporal workflow + tenant Postgres. This mirrors the btree (logic) + Temporal (durability) split. + +The Express server (`src/server.ts`, `createApp`) still exists for standalone chat/graph use, but the **file-upload route and async `processFile` orchestration were removed** (ADR-037) — ingestion is controlplane's job now. + +## The library surface (what controlplane imports) + +Pure, side-effect-free functions exported from `src/index.ts`: + +- `doclingClientService.extractFromFile({ storagePath, mimeType })` → `ExtractedContent` (spawns the Python Docling adapter; falls back to Gemini on failure). +- `structureToMint(structure, metadata)` / `toMintDocument(...)` → token-efficient MINT encoding (`@q1k-oss/mint-format` ≥ 1.1.0). +- `chunkDocument(structure, opts)` → `DocumentChunk[]` — §-boundary chunks with overlap + `{ text, sectionRef, pageRef, chunkIndex }`. Deterministic (stable `chunkIndex` = idempotency key for the persist activity). +- `claudeClientService` / `geminiClientService` — LLM clients (extraction only). +- Types from `src/types/` (`ExtractedContent`, `DocumentStructure`, `DocumentChunk`). + +None of these touch the DB or filesystem (beyond Docling reading the file path it's handed). Persistence (`knowledge_chunks`, the `kg_*` tables) is controlplane's. ## Commands ```bash -npm run dev # tsx watch src/server.ts npm run build # tsc -> dist/ -npm run start # node dist/server.js -npm run db:push # apply schema to the DB (this repo uses push, not migrations) -npm run db:studio +npm test # vitest run +npm run dev # tsx watch src/server.ts (standalone server) +npm run db:push # apply schema (standalone server only; controlplane owns its own tenant schemas) ``` -## File extraction (upload → knowledge graph) - -`POST /api/files/upload` → `fileProcessorService.saveFile` (writes to `uploadDir`, default `./uploads`) → async `processFile`: +## Document extraction (Docling) -1. **Extract** via the configured extractor: - - `extractor: 'docling'` (default) — `doclingClientService` spawns `python/docling_extract.py` (Docling). On any failure it **falls back to Gemini**, so a missing Python/Docling runtime degrades gracefully. - - `extractor: 'gemini'` — `geminiClientService` (extraction only, never reasoning). - Both return the same `ExtractedContent` shape (`src/types/file.types.ts`). -2. **Serialize to MINT** — `structureToMint` (`src/services/files/mint-mapper.ts`) encodes the document `structure` via `@q1k-oss/mint-format`'s `encodeDocument` and stores it in `files.mint_content` for token-efficient prompt injection. -3. **Integrate into the graph** — `integrateIntoGraph` creates `Artifact` + `Entity` nodes/edges. +`doclingClientService.extractFromFile()` spawns `python/docling_extract.py` (Docling). On any failure it falls back to Gemini, so a missing Python/Docling runtime degrades gracefully. -### Docling (Python) setup - -Docling is a Python dependency (`pyproject.toml`), not bundled with the JS package. To run the default extractor locally: +- **Device:** the layout model (RT-DETR-v2) requests float64, unsupported on Apple-Silicon MPS. The script pins the accelerator via **`DOCLING_DEVICE`** (default `cpu`, verified stable on macOS). Set `DOCLING_DEVICE=cuda`/`mps`/`auto` on a capable host. +- **Python command:** override `uv run python` via **`DOCLING_CMD`** (e.g. `python3`, or `uv run --project python` when consuming this package from another repo whose cwd lacks the Docling env). +- **Packaging:** `python/` + `pyproject.toml` ship in the npm package (`files` field) so the script travels with the library. The consuming worker still needs a Python+Docling runtime reachable via `DOCLING_CMD`. +Local Docling setup: ```bash -uv sync # installs Docling (first run pulls ML models, ~hundreds of MB) -npx tsx scripts/smoke-docling.ts # MINT-mapping smoke (no Docling needed) -npx tsx scripts/smoke-docling.ts file.pdf # real Docling extraction on a file +uv sync # installs Docling (first run pulls ML models, ~hundreds of MB) +npx tsx scripts/smoke-docling.ts # MINT + chunk smoke (no Docling needed) +DOCLING_CMD="uv run python" npx tsx scripts/smoke-docling.ts file.pdf # real Docling extraction + chunking ``` -Override the Python command with `DOCLING_CMD` (default `uv run python`). The script must emit valid JSON to stdout or exit non-zero (the TS caller falls back to Gemini on failure). - ## MINT usage -MINT (`@q1k-oss/mint-format`) is used to pack data into LLM prompts token-efficiently: graph nodes/edges (`claude-client.service.ts`, `encode`) and now parsed documents (`encodeDocument`, see the mapper above). Requires `@q1k-oss/mint-format` ≥ 1.1.0 (adds `encodeDocument`/`decodeDocument`). +MINT (`@q1k-oss/mint-format`) packs data into LLM prompts token-efficiently: graph nodes/edges (`claude-client.service.ts`) and parsed documents (`structureToMint`/`encodeDocument`). Requires `@q1k-oss/mint-format` ≥ 1.1.0. ## Conventions -- ESM, NodeNext module resolution — **import with `.js` extensions** even from `.ts`. -- Schema in `src/db/schema/*.ts`; apply with `db:push`. -- HTTP routes currently use a trusted-caller pattern (no JWT yet) — q1k-auth middleware is a planned hardening item. +- ESM, NodeNext — **import with `.js` extensions** even from `.ts`. +- Subpath imports break `require()` of `package.json` — use the declared `exports`. +- Schema in `src/db/schema/*.ts`. The `files` table is now **dead** (orchestration removed); left in place rather than surgically dropped. +- Standalone server routes use a trusted-caller pattern; for the library path, auth/tenant-isolation are the consuming worker's concern. diff --git a/package.json b/package.json index 3972905..f7978cb 100644 --- a/package.json +++ b/package.json @@ -25,7 +25,9 @@ "types": "./dist/index.d.ts", "files": [ "dist", - "!dist/__tests__" + "!dist/__tests__", + "python", + "pyproject.toml" ], "exports": { ".": { @@ -81,7 +83,9 @@ "db:generate": "drizzle-kit generate", "db:migrate": "drizzle-kit migrate", "db:push": "drizzle-kit push", - "db:studio": "drizzle-kit studio" + "db:studio": "drizzle-kit studio", + "test": "vitest run", + "test:watch": "vitest" }, "dependencies": { "@anthropic-ai/sdk": "^0.39.0", diff --git a/python/docling_extract.py b/python/docling_extract.py index 002c2fa..79ca36f 100644 --- a/python/docling_extract.py +++ b/python/docling_extract.py @@ -21,9 +21,14 @@ stderr) rather than emit partial JSON. Run: `uv run python python/docling_extract.py ` + +Device: the layout model (RT-DETR-v2) requests float64, which Apple-Silicon MPS +does not support — so we pin the accelerator via `DOCLING_DEVICE` (default `CPU`, +verified stable on macOS). Set `DOCLING_DEVICE=CUDA`/`MPS`/`AUTO` on a capable host. """ import json +import os import sys @@ -36,9 +41,27 @@ def _page_of(item) -> "int | None": def extract(path: str) -> dict: - from docling.document_converter import DocumentConverter - - doc = DocumentConverter().convert(path).document + from docling.document_converter import DocumentConverter, PdfFormatOption + from docling.datamodel.base_models import InputFormat + from docling.datamodel.pipeline_options import ( + AcceleratorOptions, + PdfPipelineOptions, + ) + + # Pin the accelerator device (lowercase string: auto/cpu/mps/cuda/cuda:N). + # Default cpu avoids the Apple-Silicon MPS float64 crash in RT-DETR-v2; + # override with DOCLING_DEVICE on a capable host. + device = os.getenv("DOCLING_DEVICE", "cpu").lower() + pipeline_options = PdfPipelineOptions( + accelerator_options=AcceleratorOptions(device=device) + ) + converter = DocumentConverter( + format_options={ + InputFormat.PDF: PdfFormatOption(pipeline_options=pipeline_options) + } + ) + + doc = converter.convert(path).document text_content = doc.export_to_markdown() diff --git a/scripts/smoke-docling.ts b/scripts/smoke-docling.ts index 4aa62ee..99aacd3 100644 --- a/scripts/smoke-docling.ts +++ b/scripts/smoke-docling.ts @@ -10,6 +10,7 @@ */ import { decodeDocument } from '@q1k-oss/mint-format'; import { structureToMint } from '../src/services/files/mint-mapper.js'; +import { chunkDocument } from '../src/services/files/chunker.js'; import { doclingClientService } from '../src/services/files/docling-client.service.js'; import type { DocumentStructure } from '../src/types/index.js'; @@ -41,9 +42,16 @@ async function main(): Promise { assert(decoded.sections.length >= 2, 'sections lost on decode round-trip'); console.log(`MINT mapping OK — ${decoded.sections.length} sections round-tripped.\n`); + // Chunking (pure) — the unit the controlplane embed/persist activities consume. + const chunks = chunkDocument(sample); + assert(chunks.length >= 3, 'expected sections + table + list chunks'); + assert(chunks.every((c, i) => c.chunkIndex === i), 'chunkIndex must be 0..n stable'); + assert(chunks.some((c) => c.sectionRef === 'Overview' && c.pageRef === 1), 'chunk provenance lost'); + console.log(`Chunking OK — ${chunks.length} chunks; refs: ${chunks.map((c) => c.sectionRef ?? '∅').join(', ')}\n`); + const file = process.argv[2]; if (file) { - console.log(`Running Docling on ${file} ...`); + console.log(`Running Docling on ${file} (DOCLING_DEVICE=${process.env.DOCLING_DEVICE ?? 'cpu'}) ...`); const r = await doclingClientService.extractFromFile({ storagePath: file, mimeType: 'application/pdf' }); if (!r.success) { console.log(`Docling failed (expected if not installed): ${r.error}`); @@ -51,7 +59,10 @@ async function main(): Promise { } const s = r.extractedContent?.structure; assert(!!s, 'docling returned no structure'); - console.log('Docling OK. MINT preview:\n' + structureToMint(s!, r.extractedContent?.metadata).slice(0, 500)); + const realChunks = chunkDocument(s!); + assert(realChunks.length >= 1, 'real doc produced no chunks'); + console.log('Docling OK. MINT preview:\n' + structureToMint(s!, r.extractedContent?.metadata).slice(0, 300)); + console.log(`\nReal-doc chunks: ${realChunks.length}. First chunk:\n${realChunks[0]!.text.slice(0, 160)}`); } } diff --git a/src/__tests__/chunker.test.ts b/src/__tests__/chunker.test.ts new file mode 100644 index 0000000..72fdced --- /dev/null +++ b/src/__tests__/chunker.test.ts @@ -0,0 +1,61 @@ +import { describe, it, expect } from 'vitest'; +import { chunkDocument } from '../services/files/chunker.js'; +import type { DocumentStructure } from '../types/index.js'; + +const sample: DocumentStructure = { + title: 'SOP', + sections: [ + { heading: 'Overview', content: 'Covers returns within 30 days.', level: 1, pageRef: 1 }, + { heading: 'Eligibility', content: 'Items must be unused.', level: 2, pageRef: 2 }, + ], + tables: [{ caption: 'Windows', headers: ['Channel', 'Days'], rows: [['D2C', '30'], ['WFM', '14']] }], + lists: [{ type: 'ordered', items: ['Inspect', 'Refund'] }], + figures: [{ caption: 'flow', pageRef: 2 }], +}; + +describe('chunkDocument', () => { + it('emits one chunk per section + table + list (figures skipped)', () => { + const chunks = chunkDocument(sample); + // 2 sections + 1 table + 1 list = 4 + expect(chunks).toHaveLength(4); + }); + + it('assigns stable 0..n chunkIndex (idempotency key)', () => { + const chunks = chunkDocument(sample); + expect(chunks.map((c) => c.chunkIndex)).toEqual([0, 1, 2, 3]); + // deterministic across runs + expect(chunkDocument(sample).map((c) => c.text)).toEqual(chunks.map((c) => c.text)); + }); + + it('preserves provenance (sectionRef + pageRef)', () => { + const chunks = chunkDocument(sample); + const overview = chunks.find((c) => c.sectionRef === 'Overview'); + expect(overview?.pageRef).toBe(1); + expect(overview?.text).toContain('Overview'); + expect(overview?.text).toContain('30 days'); + }); + + it('renders table rows into a single coherent chunk', () => { + const chunks = chunkDocument(sample); + const table = chunks.find((c) => c.sectionRef === 'Windows'); + expect(table?.text).toContain('Channel | Days'); + expect(table?.text).toContain('D2C | 30'); + expect(table?.text).toContain('WFM | 14'); + }); + + it('splits an oversized section with overlap', () => { + const para = 'Sentence number ' + 'x'.repeat(40) + '. '; + const big: DocumentStructure = { + sections: [{ heading: 'Big', content: para.repeat(60), level: 1, pageRef: 3 }], + }; + const chunks = chunkDocument(big, { maxChars: 300, overlapChars: 50 }); + expect(chunks.length).toBeGreaterThan(1); + expect(chunks.every((c) => c.text.length <= 300 + 60)).toBe(true); // ~maxChars + heading slack + expect(chunks.every((c) => c.sectionRef === 'Big' && c.pageRef === 3)).toBe(true); + }); + + it('returns [] for empty structure', () => { + expect(chunkDocument({})).toEqual([]); + expect(chunkDocument({ sections: [{ heading: '', content: '', level: 1 }] })).toEqual([]); + }); +}); diff --git a/src/app.ts b/src/app.ts index 7112adb..62f8047 100644 --- a/src/app.ts +++ b/src/app.ts @@ -1,7 +1,6 @@ import express, { type Express } from 'express'; import cors from 'cors'; import { chatRouter } from './routes/chat.routes.js'; -import { filesRouter } from './routes/files.routes.js'; import { graphRouter } from './routes/graph.routes.js'; import { errorHandler } from './middleware/error-handler.js'; @@ -30,8 +29,11 @@ export function createApp(options: CreateAppOptions = {}): Express { }); // API routes + // NOTE: the file-upload route was removed (ADR-037) — document ingestion is + // now driven by q1k-controlplane's Temporal worker, which imports this package + // as a library (extractFromFile / structureToMint / chunkDocument) rather than + // POSTing to an HTTP endpoint. context-engine no longer orchestrates ingestion. app.use('/api/chat', chatRouter); - app.use('/api/files', filesRouter); app.use('/api/graph', graphRouter); // Error handler diff --git a/src/index.ts b/src/index.ts index 9a57c2f..7eea658 100644 --- a/src/index.ts +++ b/src/index.ts @@ -8,7 +8,6 @@ export type { CreateAppOptions } from './app.js'; // Routes export { chatRouter } from './routes/chat.routes.js'; -export { filesRouter } from './routes/files.routes.js'; export { graphRouter } from './routes/graph.routes.js'; // Middleware @@ -23,9 +22,15 @@ export { knowledgeEdgesRelations, nodeAliasesRelations, filesRelations, } from './db/schema/index.js'; +// Document ingestion — pure, importable functions (ADR-037: CE is a library; +// q1k-controlplane's Temporal activities call these directly, no HTTP service). +export { doclingClientService } from './services/files/docling-client.service.js'; +export { toMintDocument, structureToMint } from './services/files/mint-mapper.js'; +export { chunkDocument } from './services/files/chunker.js'; +export type { DocumentChunk, ChunkOptions } from './services/files/chunker.js'; + // Services export { chatOrchestratorService } from './services/chat/chat-orchestrator.service.js'; -export { fileProcessorService } from './services/files/file-processor.service.js'; export { claudeClientService } from './services/llm/claude-client.service.js'; export { geminiClientService } from './services/llm/gemini-client.service.js'; export { graphBuilderService } from './services/knowledge-graph/graph-builder.service.js'; diff --git a/src/routes/files.routes.ts b/src/routes/files.routes.ts deleted file mode 100644 index eb5b90c..0000000 --- a/src/routes/files.routes.ts +++ /dev/null @@ -1,126 +0,0 @@ -import { Router, type Router as RouterType } from 'express'; -import multer from 'multer'; -import { fileProcessorService } from '../services/files/file-processor.service.js'; -import { AppError } from '../middleware/error-handler.js'; - -export const filesRouter: RouterType = Router(); - -// Configure multer for memory storage -const upload = multer({ - storage: multer.memoryStorage(), - limits: { - fileSize: 50 * 1024 * 1024, // 50MB limit - }, - fileFilter: (req, file, cb) => { - const allowedMimes = [ - 'application/pdf', - 'image/png', - 'image/jpeg', - 'image/gif', - 'image/webp', - 'text/plain', - 'application/msword', - 'application/vnd.openxmlformats-officedocument.wordprocessingml.document', - ]; - - if (allowedMimes.includes(file.mimetype)) { - cb(null, true); - } else { - cb(new AppError('INVALID_FILE_TYPE', `File type ${file.mimetype} is not supported`, 400)); - } - }, -}); - -/** - * POST /api/files/upload - * Upload a file for processing - */ -filesRouter.post('/upload', upload.single('file'), async (req, res, next) => { - try { - if (!req.file) { - throw new AppError('NO_FILE', 'No file uploaded', 400); - } - - const sessionId = req.body.sessionId; - if (!sessionId) { - throw new AppError('MISSING_SESSION', 'Session ID is required', 400); - } - - const file = await fileProcessorService.saveFile(sessionId, { - originalname: req.file.originalname, - mimetype: req.file.mimetype, - size: req.file.size, - buffer: req.file.buffer, - }); - - res.status(201).json({ - success: true, - data: { - fileId: file.id, - status: file.processingStatus, - }, - }); - } catch (error) { - next(error); - } -}); - -/** - * GET /api/files/:id - * Get file metadata - */ -filesRouter.get('/:id', async (req, res, next) => { - try { - const file = await fileProcessorService.getFile(req.params.id!); - - res.json({ - success: true, - data: { - id: file.id, - originalName: file.originalName, - mimeType: file.mimeType, - fileSize: file.fileSize, - processingStatus: file.processingStatus, - createdAt: file.createdAt, - }, - }); - } catch (error) { - next(error); - } -}); - -/** - * GET /api/files/:id/content - * Get extracted content from a file - */ -filesRouter.get('/:id/content', async (req, res, next) => { - try { - const content = await fileProcessorService.getExtractedContent(req.params.id!); - - if (!content) { - throw new AppError('NOT_PROCESSED', 'File has not been processed yet', 404); - } - - res.json({ - success: true, - data: { - extractedContent: content, - }, - }); - } catch (error) { - next(error); - } -}); - -/** - * DELETE /api/files/:id - * Delete a file - */ -filesRouter.delete('/:id', async (req, res, next) => { - try { - await fileProcessorService.deleteFile(req.params.id!); - res.json({ success: true }); - } catch (error) { - next(error); - } -}); diff --git a/src/services/files/chunker.ts b/src/services/files/chunker.ts new file mode 100644 index 0000000..5014f3d --- /dev/null +++ b/src/services/files/chunker.ts @@ -0,0 +1,120 @@ +import type { DocumentStructure } from '../../types/index.js'; + +/** + * A retrievable chunk of a parsed document — the unit a RAG vector store + * embeds and returns. Pure data; no DB/IO. The caller (a controlplane Temporal + * activity) embeds `text` and persists with `chunkIndex` as the idempotency key. + */ +export interface DocumentChunk { + /** 0-based position in the document; stable across re-runs (idempotency key with fileId). */ + chunkIndex: number; + /** The chunk text fed to the embedder. */ + text: string; + /** Section heading this chunk came from (provenance). */ + sectionRef?: string; + /** 1-based source page, when the extractor provided it (provenance). */ + pageRef?: number; +} + +export interface ChunkOptions { + /** Soft cap on characters per chunk before a section is split. Default 1200 (~300 tokens). */ + maxChars?: number; + /** Characters of trailing overlap prepended to the next sub-chunk. Default 150. */ + overlapChars?: number; +} + +const DEFAULT_MAX_CHARS = 1200; +const DEFAULT_OVERLAP_CHARS = 150; + +/** + * Chunk a parsed `DocumentStructure` into retrievable, embeddable units. + * + * Strategy: §-boundary first — each section's `heading + content` is one chunk. + * Sections longer than `maxChars` are split on paragraph/sentence boundaries with + * a small character overlap so context isn't severed mid-thought. Tables and lists + * are emitted as their own chunks (a table row-set is a coherent retrieval unit). + * Figures are skipped (captions only, low retrieval value). + * + * Pure function — deterministic given the same structure + options, so a Temporal + * activity can re-run it safely (chunkIndex is stable). + */ +export function chunkDocument( + structure: DocumentStructure, + opts: ChunkOptions = {}, +): DocumentChunk[] { + const maxChars = opts.maxChars ?? DEFAULT_MAX_CHARS; + const overlapChars = opts.overlapChars ?? DEFAULT_OVERLAP_CHARS; + const chunks: DocumentChunk[] = []; + + const push = (text: string, sectionRef?: string, pageRef?: number): void => { + const trimmed = text.trim(); + if (!trimmed) return; + chunks.push({ chunkIndex: chunks.length, text: trimmed, sectionRef, pageRef }); + }; + + for (const section of structure.sections ?? []) { + const heading = (section.heading ?? '').trim(); + const content = (section.content ?? '').trim(); + const body = heading ? (content ? `${heading}\n${content}` : heading) : content; + if (!body) continue; + + if (body.length <= maxChars) { + push(body, heading || undefined, section.pageRef); + continue; + } + + // Section too long → split on paragraph/sentence boundaries with overlap. + for (const piece of splitWithOverlap(body, maxChars, overlapChars)) { + push(piece, heading || undefined, section.pageRef); + } + } + + for (const table of structure.tables ?? []) { + const caption = table.caption ? `${table.caption}\n` : ''; + const header = (table.headers ?? []).join(' | '); + const rows = (table.rows ?? []).map((r) => r.join(' | ')).join('\n'); + const text = `${caption}${header ? header + '\n' : ''}${rows}`; + push(text, table.caption ?? 'Table'); + } + + for (const list of structure.lists ?? []) { + const marker = list.type === 'ordered' ? (i: number) => `${i + 1}.` : () => '-'; + const text = (list.items ?? []).map((it, i) => `${marker(i)} ${it}`).join('\n'); + push(text, list.type === 'ordered' ? 'Ordered list' : 'List'); + } + + return chunks; +} + +/** + * Split text into <=maxChars pieces, preferring paragraph then sentence + * boundaries, with `overlapChars` of the prior piece's tail prepended to each + * subsequent piece for context continuity. + */ +function splitWithOverlap(text: string, maxChars: number, overlapChars: number): string[] { + // Prefer paragraph boundaries; fall back to sentence, then hard slice. + const units = text.split(/\n{2,}/).flatMap((para) => + para.length <= maxChars ? [para] : para.split(/(?<=[.!?])\s+/), + ); + + const pieces: string[] = []; + let current = ''; + for (const unit of units) { + const candidate = current ? `${current}\n\n${unit}` : unit; + if (candidate.length > maxChars && current) { + pieces.push(current); + const tail = overlapChars > 0 ? current.slice(-overlapChars) : ''; + current = tail ? `${tail}\n\n${unit}` : unit; + } else if (candidate.length > maxChars) { + // single unit longer than maxChars → hard-slice it + for (let i = 0; i < unit.length; i += maxChars) { + pieces.push(unit.slice(i, i + maxChars)); + } + current = ''; + } else { + current = candidate; + } + } + if (current.trim()) pieces.push(current); + return pieces; +} diff --git a/src/services/files/file-processor.service.ts b/src/services/files/file-processor.service.ts deleted file mode 100644 index 134d1a0..0000000 --- a/src/services/files/file-processor.service.ts +++ /dev/null @@ -1,324 +0,0 @@ -import { getDb } from '../../db/index.js'; -import { files, knowledgeNodes, knowledgeEdges } from '../../db/schema/index.js'; -import { eq } from 'drizzle-orm'; -import { v4 as uuidv4 } from 'uuid'; -import * as fs from 'fs/promises'; -import * as path from 'path'; -import type { FileMetadata, ExtractedContent, NodeType } from '../../types/index.js'; -import { geminiClientService } from '../llm/gemini-client.service.js'; -import { doclingClientService } from './docling-client.service.js'; -import { structureToMint } from './mint-mapper.js'; -import { relationshipInferrerService } from '../knowledge-graph/relationship-inferrer.service.js'; -import { AppError } from '../../middleware/error-handler.js'; -import { getConfig } from '../../config.js'; - -/** - * File Processor Service - * Handles file uploads and content extraction via Gemini - * - * IMPORTANT: Gemini is used ONLY for extraction, NOT for reasoning - */ -export const fileProcessorService = { - /** - * Save an uploaded file and queue for processing - */ - async saveFile( - sessionId: string, - file: { - originalname: string; - mimetype: string; - size: number; - buffer: Buffer; - } - ): Promise { - const UPLOAD_DIR = getConfig().uploadDir || './uploads'; - // Ensure upload directory exists - await fs.mkdir(UPLOAD_DIR, { recursive: true }); - - const fileId = uuidv4(); - const ext = path.extname(file.originalname); - const storagePath = path.join(UPLOAD_DIR, `${fileId}${ext}`); - - // Write file to disk - await fs.writeFile(storagePath, file.buffer); - - // Create database record - const [fileRecord] = await getDb() - .insert(files) - .values({ - id: fileId, - sessionId, - originalName: file.originalname, - mimeType: file.mimetype, - fileSize: file.size, - storagePath, - processingStatus: 'pending', - createdAt: new Date(), - }) - .returning(); - - // Start async processing — errors are recorded in the DB (processingStatus = 'failed') - this.processFile(fileId).catch((err) => { - console.error(`File processing failed for ${fileId}:`, err); - // Ensure status is set to failed even if processFile's own catch didn't fire - getDb() - .update(files) - .set({ processingStatus: 'failed', processingError: err instanceof Error ? err.message : 'Unknown error' }) - .where(eq(files.id, fileId)) - .catch(() => {}); // Last-resort: don't let DB error propagate - }); - - return fileRecord as FileMetadata; - }, - - /** - * Process a file using Gemini for extraction - */ - async processFile(fileId: string): Promise { - // Update status to processing - await getDb() - .update(files) - .set({ processingStatus: 'processing' }) - .where(eq(files.id, fileId)); - - try { - // Get file record - const fileRecord = await getDb().query.files.findFirst({ - where: eq(files.id, fileId), - }); - - if (!fileRecord) { - throw new AppError('FILE_NOT_FOUND', 'File not found', 404); - } - - // Extract content (EXTRACTION ONLY — no reasoning). Docling is the - // default; on any failure we fall back to the Gemini extractor so a - // missing Python/Docling runtime degrades gracefully. - let extractionResult: { success: boolean; extractedContent?: ExtractedContent; error?: string } | undefined; - - if ((getConfig().extractor ?? 'docling') === 'docling') { - const docling = await doclingClientService.extractFromFile({ - storagePath: fileRecord.storagePath, - mimeType: fileRecord.mimeType, - }); - if (docling.success) { - extractionResult = docling; - } else { - console.warn(`Docling extraction failed for ${fileId}, falling back to Gemini: ${docling.error}`); - } - } - - if (!extractionResult) { - const fileBuffer = await fs.readFile(fileRecord.storagePath); - const base64Content = fileBuffer.toString('base64'); - extractionResult = await geminiClientService.extractFromFile({ - fileId, - mimeType: fileRecord.mimeType, - fileContent: base64Content, - }); - } - - if (!extractionResult.success || !extractionResult.extractedContent) { - throw new Error(extractionResult.error || 'Extraction failed'); - } - - const extracted = extractionResult.extractedContent; - - // Serialize the document structure to MINT for token-efficient prompt use. - const mintContent = extracted.structure - ? structureToMint(extracted.structure, extracted.metadata) - : null; - - // Update file record with extracted content - await getDb() - .update(files) - .set({ - extractedContent: extracted, - mintContent, - processingStatus: 'completed', - }) - .where(eq(files.id, fileId)); - - // Create knowledge graph nodes from extracted content - await this.integrateIntoGraph(fileRecord.sessionId, fileId, extracted); - } catch (error) { - console.error('File processing error:', error); - - await getDb() - .update(files) - .set({ - processingStatus: 'failed', - processingError: error instanceof Error ? error.message : 'Unknown error', - }) - .where(eq(files.id, fileId)); - } - }, - - /** - * Integrate extracted content into the knowledge graph - */ - async integrateIntoGraph( - sessionId: string, - fileId: string, - content: ExtractedContent - ): Promise { - const nodesToCreate: Array<{ - id: string; - sessionId: string; - nodeType: NodeType; - name: string; - graphData: Record; - confidenceScore: string; - priorityScore: string; - version: number; - isDeleted: boolean; - createdAt: Date; - updatedAt: Date; - }> = []; - - // Create Artifact node for the file - const artifactNode = { - id: uuidv4(), - sessionId, - nodeType: 'Artifact' as NodeType, - name: `File: ${fileId.substring(0, 8)}`, - graphData: { - fileId, - textPreview: content.textContent?.substring(0, 200), - structure: content.structure, - }, - confidenceScore: '1.00', - priorityScore: '0.60', - version: 1, - isDeleted: false, - createdAt: new Date(), - updatedAt: new Date(), - }; - nodesToCreate.push(artifactNode); - - // Create Entity nodes from extracted entities - if (content.entities) { - for (const person of content.entities.people || []) { - nodesToCreate.push({ - id: uuidv4(), - sessionId, - nodeType: 'Entity' as NodeType, - name: person, - graphData: { entityType: 'person', sourceFile: fileId }, - confidenceScore: '0.80', - priorityScore: '0.50', - version: 1, - isDeleted: false, - createdAt: new Date(), - updatedAt: new Date(), - }); - } - - for (const org of content.entities.organizations || []) { - nodesToCreate.push({ - id: uuidv4(), - sessionId, - nodeType: 'Entity' as NodeType, - name: org, - graphData: { entityType: 'organization', sourceFile: fileId }, - confidenceScore: '0.80', - priorityScore: '0.50', - version: 1, - isDeleted: false, - createdAt: new Date(), - updatedAt: new Date(), - }); - } - - for (const tech of content.entities.technologies || []) { - nodesToCreate.push({ - id: uuidv4(), - sessionId, - nodeType: 'Entity' as NodeType, - name: tech, - graphData: { entityType: 'technology', sourceFile: fileId }, - confidenceScore: '0.70', - priorityScore: '0.50', - version: 1, - isDeleted: false, - createdAt: new Date(), - updatedAt: new Date(), - }); - } - } - - // Insert all nodes - if (nodesToCreate.length > 0) { - await getDb().insert(knowledgeNodes).values(nodesToCreate); - } - - // Create DERIVED_FROM edges from extracted entities to artifact - const extractedNodeIds = nodesToCreate.filter((n) => n.nodeType !== 'Artifact').map((n) => n.id); - const edges = extractedNodeIds.map((nodeId) => ({ - id: uuidv4(), - sessionId, - sourceNodeId: nodeId, - targetNodeId: artifactNode.id, - edgeType: 'DERIVED_FROM', - edgeData: { source: 'file_extraction' }, - weight: '1.00', - isDeleted: false, - createdAt: new Date(), - })); - - if (edges.length > 0) { - await getDb().insert(knowledgeEdges).values(edges); - } - }, - - /** - * Get file metadata - */ - async getFile(fileId: string): Promise { - const fileRecord = await getDb().query.files.findFirst({ - where: eq(files.id, fileId), - }); - - if (!fileRecord) { - throw new AppError('FILE_NOT_FOUND', 'File not found', 404); - } - - return fileRecord as FileMetadata; - }, - - /** - * Get extracted content for a file - */ - async getExtractedContent(fileId: string): Promise { - const fileRecord = await getDb().query.files.findFirst({ - where: eq(files.id, fileId), - }); - - if (!fileRecord) { - throw new 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215940, upload-time = "2025-09-16T00:16:21.63Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/3a/0c/3662f4a66880196a590b202f0db82d919dd2f89e99a27fadef91c4a33d41/xlsxwriter-3.2.9-py3-none-any.whl", hash = "sha256:9a5db42bc5dff014806c58a20b9eae7322a134abb6fce3c92c181bfb275ec5b3", size = 175315, upload-time = "2025-09-16T00:16:20.108Z" }, +] From 7ebff50fe7ed2e4b29ee428e1f38a686583e6506 Mon Sep 17 00:00:00 2001 From: Avinash Kumar Date: Sun, 31 May 2026 18:47:59 +0530 Subject: [PATCH 4/5] feat(track-a): add barrel-free `/extraction` subpath entry; bump 0.3.0 MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The main index.ts barrel re-exports the Express routers, so importing it from a pure-function consumer (controlplane's Temporal worker) drags in the whole server stack. Add `@q1k-oss/context-engine/extraction` — a dependency-light entry exporting only doclingClientService / structureToMint / chunkDocument + types. Verified: controlplane imports it and runs chunk+mint with no express/ router load. Bump to 0.3.0 (library shape). Co-Authored-By: Claude Opus 4.8 (1M context) --- package.json | 6 +++++- src/extraction.ts | 18 ++++++++++++++++++ 2 files changed, 23 insertions(+), 1 deletion(-) create mode 100644 src/extraction.ts diff --git a/package.json b/package.json index f7978cb..52a4aff 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "@q1k-oss/context-engine", - "version": "0.2.0", + "version": "0.3.0", "description": "AI-powered knowledge graph engine that extracts and structures domain knowledge from conversations", "type": "module", "license": "MIT", @@ -69,6 +69,10 @@ "./tools": { "types": "./dist/tools/index.d.ts", "import": "./dist/tools/index.js" + }, + "./extraction": { + "types": "./dist/extraction.d.ts", + "import": "./dist/extraction.js" } }, "engines": { diff --git a/src/extraction.ts b/src/extraction.ts new file mode 100644 index 0000000..3b36af9 --- /dev/null +++ b/src/extraction.ts @@ -0,0 +1,18 @@ +/** + * Barrel-free entry for the document-extraction pipeline (ADR-037). + * + * q1k-controlplane's Temporal activities import THIS module + * (`@q1k-oss/context-engine/extraction`) — NOT the main `index.ts` barrel, + * which re-exports the Express routers + server stack. Everything here is a + * pure function (Docling subprocess / MINT encode / chunk); no express, no DB, + * no router imports — so the consuming worker stays dependency-light. + */ +export { doclingClientService } from './services/files/docling-client.service.js'; +export { toMintDocument, structureToMint } from './services/files/mint-mapper.js'; +export { chunkDocument } from './services/files/chunker.js'; +export type { DocumentChunk, ChunkOptions } from './services/files/chunker.js'; +export type { + ExtractedContent, + DocumentStructure, + DocumentMetadata, +} from './types/index.js'; From c0bd351147612e8f911d1ac9c931b7be9d843337 Mon Sep 17 00:00:00 2001 From: Himanshu Shekhar Date: Thu, 25 Jun 2026 18:14:36 +0530 Subject: [PATCH 5/5] chore(deps): sync package-lock to @q1k-oss/mint-format@1.1.0 1.1.0 is now published; refresh the lockfile so npm ci resolves it. Verified: npm ci + tsc build pass. --- package-lock.json | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/package-lock.json b/package-lock.json index 3437fa4..f54c2f7 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,17 +1,17 @@ { "name": "@q1k-oss/context-engine", - "version": "0.1.1", + "version": "0.3.0", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "@q1k-oss/context-engine", - "version": "0.1.1", + "version": "0.3.0", "license": "MIT", "dependencies": { "@anthropic-ai/sdk": "^0.39.0", "@google/generative-ai": "^0.21.0", - "@q1k-oss/mint-format": "^1.0.2", + "@q1k-oss/mint-format": "^1.1.0", "cors": "^2.8.5", "drizzle-orm": "^0.38.3", "express": "^4.21.2", @@ -983,9 +983,9 @@ "license": "MIT" }, "node_modules/@q1k-oss/mint-format": { - "version": "1.0.2", - "resolved": "https://registry.npmjs.org/@q1k-oss/mint-format/-/mint-format-1.0.2.tgz", - "integrity": "sha512-MTAspRtXtBIP+Y9OvA1i+iYz869brLIn1fGffbu4R/bWjv7lKxX3rtrLdA8urTUr32K9P57HNEavMBc0Ru0VQQ==", + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/@q1k-oss/mint-format/-/mint-format-1.1.0.tgz", + "integrity": "sha512-WWIuiH143vux3ZubF4DjwQl20d4UZIMlVZtanhiWKaWP7Wr6XIo6I92nBs9VJ8RwPPj/RrScyElUa0PGJKq2tQ==", "license": "MIT", "engines": { "node": ">=16.0.0"