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https://github.com/snapotter-hq/SnapOtter.git
synced 2026-08-03 07:46:42 +02:00
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
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@@ -1,9 +1,16 @@
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import type { FastifyInstance, FastifyRequest, FastifyReply } from "fastify";
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import { randomUUID } from "node:crypto";
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import { basename } from "node:path";
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import { z } from "zod";
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import { extractText } from "@stirling-image/ai";
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import { createWorkspace } from "../../lib/workspace.js";
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import { updateSingleFileProgress } from "../progress.js";
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import { validateImageBuffer } from "../../lib/file-validation.js";
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const settingsSchema = z.object({
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engine: z.enum(["tesseract", "paddleocr"]).default("tesseract"),
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language: z.enum(["en", "de", "fr", "es", "zh", "ja", "ko"]).default("en"),
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});
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/**
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* OCR / text extraction route.
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@@ -45,8 +52,24 @@ export function registerOcr(app: FastifyInstance) {
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return reply.status(400).send({ error: "No image file provided" });
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}
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const validation = await validateImageBuffer(fileBuffer);
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if (!validation.valid) {
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return reply.status(400).send({ error: `Invalid image: ${validation.reason}` });
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}
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try {
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const settings = settingsRaw ? JSON.parse(settingsRaw) : {};
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let settings: z.infer<typeof settingsSchema>;
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try {
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const parsed = settingsRaw ? JSON.parse(settingsRaw) : {};
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const result = settingsSchema.safeParse(parsed);
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if (!result.success) {
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return reply.status(400).send({ error: "Invalid settings", details: result.error.issues });
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}
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settings = result.data;
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} catch {
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return reply.status(400).send({ error: "Settings must be valid JSON" });
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}
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const jobId = randomUUID();
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const workspacePath = await createWorkspace(jobId);
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