chore: remove dead code, add test infrastructure, update docs

- Delete 3 dead files: use-batch-processor.ts, use-i18n.ts, smart-crop.ts (AI package)
- Remove dead getJobProgress function and unused runPythonScript wrapper
- Remove 6 unused imports across API and web apps
- Remove unused shared types (ImageFormat, AppConfig, ApiError, HealthResponse, JobProgress)
  and constants (SUPPORTED_INPUT_FORMATS/OUTPUT_FORMATS, DEFAULT_OUTPUT_FORMAT)
- Remove unused store method (setOriginalBlobUrl) and clean AI package re-exports
- Add test infrastructure: vitest config, unit/integration/e2e tests, fixtures, screenshots
- Add Docker test infrastructure: Dockerfile.test, docker-compose.test.yml
- Add download_models.py for pre-baking AI model weights in Docker
- Add filename sanitization utility (apps/api/src/lib/filename.ts)
- Update .gitignore to exclude coverage/, *.tsbuildinfo, .superpowers/, test artifacts
- Update .dockerignore to exclude test/coverage/IDE artifacts from builds
- Update docs: remove smart crop from AI docs (uses Sharp directly), update bridge docs
This commit is contained in:
Siddharth Kumar Sah
2026-03-23 11:46:45 +08:00
parent 8db84a753c
commit 80e536bcf8
74 changed files with 7247 additions and 487 deletions
+24 -1
View File
@@ -1,9 +1,16 @@
import type { FastifyInstance, FastifyRequest, FastifyReply } from "fastify";
import { randomUUID } from "node:crypto";
import { basename } from "node:path";
import { z } from "zod";
import { extractText } from "@stirling-image/ai";
import { createWorkspace } from "../../lib/workspace.js";
import { updateSingleFileProgress } from "../progress.js";
import { validateImageBuffer } from "../../lib/file-validation.js";
const settingsSchema = z.object({
engine: z.enum(["tesseract", "paddleocr"]).default("tesseract"),
language: z.enum(["en", "de", "fr", "es", "zh", "ja", "ko"]).default("en"),
});
/**
* OCR / text extraction route.
@@ -45,8 +52,24 @@ export function registerOcr(app: FastifyInstance) {
return reply.status(400).send({ error: "No image file provided" });
}
const validation = await validateImageBuffer(fileBuffer);
if (!validation.valid) {
return reply.status(400).send({ error: `Invalid image: ${validation.reason}` });
}
try {
const settings = settingsRaw ? JSON.parse(settingsRaw) : {};
let settings: z.infer<typeof settingsSchema>;
try {
const parsed = settingsRaw ? JSON.parse(settingsRaw) : {};
const result = settingsSchema.safeParse(parsed);
if (!result.success) {
return reply.status(400).send({ error: "Invalid settings", details: result.error.issues });
}
settings = result.data;
} catch {
return reply.status(400).send({ error: "Settings must be valid JSON" });
}
const jobId = randomUUID();
const workspacePath = await createWorkspace(jobId);