From 0bf8424f575b4a2c9fafe2f65a692cba33e5d173 Mon Sep 17 00:00:00 2001 From: Matt Leon <108271225+wydengyre@users.noreply.github.com> Date: Mon, 13 May 2024 12:21:35 +0700 Subject: [PATCH] tests: use built-in Node test framework --- Makefile | 4 +- package-lock.json | 879 +--------------------------------------- package.json | 2 - test/ocr-engine-test.js | 257 +++++++----- 4 files changed, 154 insertions(+), 988 deletions(-) diff --git a/Makefile b/Makefile index 709d6fa..8e0b796 100644 --- a/Makefile +++ b/Makefile @@ -32,7 +32,7 @@ format: .PHONY: checkformat checkformat: clang-format -Werror --dry-run --style=google src/*.cpp - node_modules/.bin/prettier --check {examples,src,test}/**/*.js + node_modules/.bin/prettier --check {src,test}/**/*.js .PHONY: typecheck @@ -45,7 +45,7 @@ api-docs: .PHONY: test test: third_party/tessdata_fast - node_modules/.bin/mocha + node --test test/ocr-engine-test.js .PHONY: release release: clean lib typecheck test diff --git a/package-lock.json b/package-lock.json index 0d032d9..a552fdb 100644 --- a/package-lock.json +++ b/package-lock.json @@ -8,14 +8,9 @@ "name": "tesseract-wasm", "version": "0.10.0", "license": "BSD-2-Clause", - 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assert.isTrue(supportsFastBuild()); + assert.strict(supportsFastBuild()); }); }); @@ -81,26 +82,42 @@ describe("OCREngine", () => { [emptyImage(100, 0), "Image width or height is zero"], ].forEach(([imageData, expectedError]) => { it("throws an error if image fails to load", () => { - assert.throws(() => { - ocr.loadImage(imageData); - }, expectedError); + assert.throws( + () => { + ocr.loadImage(imageData); + }, + new Error(expectedError), + undefined, + ); }); }); it("throws an error if OCR is attempted before image is loaded", async () => { const ocr = await createEngine(); - assert.throws(() => { - ocr.getBoundingBoxes(); - }, "No image loaded"); + assert.throws( + () => { + ocr.getBoundingBoxes(); + }, + new Error("No image loaded"), + undefined, + ); - assert.throws(() => { - ocr.getTextBoxes(); - }, "No image loaded"); + assert.throws( + () => { + ocr.getTextBoxes(); + }, + new Error("No image loaded"), + undefined, + ); - assert.throws(() => { - ocr.getText(); - }, "No image loaded"); + assert.throws( + () => { + ocr.getText(); + }, + new Error("No image loaded"), + undefined, + ); }); it("throws an error if OCR is attempted before model is loaded", async () => { @@ -108,27 +125,43 @@ describe("OCREngine", () => { const imageData = await loadImage(resolve("./small-test-page.jpg")); ocr.loadImage(imageData); - assert.throws(() => { - ocr.getTextBoxes(); - }, "No text recognition model loaded"); + assert.throws( + () => { + ocr.getTextBoxes(); + }, + new Error("No text recognition model loaded"), + undefined, + ); - assert.throws(() => { - ocr.getText(); - }, "No text recognition model loaded"); + assert.throws( + () => { + ocr.getText(); + }, + new Error("No text recognition model loaded"), + undefined, + ); }); it("throws an error if you attempt get the value of a nonsense variable", async () => { const ocr = await createEngine({ loadModel: false }); - assert.throws(() => { - ocr.getVariable("nonsense"); - }, "Unable to get variable nonsense"); + assert.throws( + () => { + ocr.getVariable("nonsense"); + }, + new Error("Unable to get variable nonsense"), + undefined, + ); }); it("throws an error if you attempt set the value of a nonsense variable", async () => { const ocr = await createEngine({ loadModel: false }); - assert.throws(() => { - ocr.setVariable("nonsense", "nonsense"); - }, "Unable to set variable nonsense"); + assert.throws( + () => { + ocr.setVariable("nonsense", "nonsense"); + }, + new Error("Unable to set variable nonsense"), + undefined, + ); }); it("successfully sets configuration variables", async () => { @@ -137,42 +170,44 @@ describe("OCREngine", () => { const varValue = "300"; ocr.setVariable(varName, varValue); const dpi = ocr.getVariable(varName); - assert.equal(dpi, varValue); + assert.strictEqual(dpi, varValue); }); - it("extracts bounding boxes from image", async function () { - this.timeout(2_000); - - const imageData = await loadImage(resolve("./small-test-page.jpg")); - ocr.loadImage(imageData); - - // nb. The number of boxes returned here is slightly different than the - // test below which reads text boxes. This is because `getBoundingBoxes` - // performs a faster/simpler analysis and `getTextBoxes` triggers the more - // expensive LSTM-based analysis. - const wordBoxes = ocr.getBoundingBoxes("word"); - assert.equal(wordBoxes.length, 153); + it( + "extracts bounding boxes from image", + { timeout: 2_000 }, + async function () { + const imageData = await loadImage(resolve("./small-test-page.jpg")); + ocr.loadImage(imageData); + + // nb. The number of boxes returned here is slightly different than the + // test below which reads text boxes. This is because `getBoundingBoxes` + // performs a faster/simpler analysis and `getTextBoxes` triggers the more + // expensive LSTM-based analysis. + const wordBoxes = ocr.getBoundingBoxes("word"); + assert.strictEqual(wordBoxes.length, 153); - for (let box of wordBoxes) { - const { rect } = box; + for (let box of wordBoxes) { + const { rect } = box; - assert.isNumber(rect.left); - assert.isNumber(rect.right); - assert.isNumber(rect.top); - assert.isNumber(rect.bottom); + assert.strictEqual(typeof rect.left, "number"); + assert.strictEqual(typeof rect.right, "number"); + assert.strictEqual(typeof rect.top, "number"); + assert.strictEqual(typeof rect.bottom, "number"); - assert.isTrue(rect.left >= 0 && rect.left <= imageData.width); - assert.isTrue(rect.right >= 0 && rect.right <= imageData.width); - assert.isTrue(rect.right > rect.left); + assert.strict(rect.left >= 0 && rect.left <= imageData.width); + assert.strict(rect.right >= 0 && rect.right <= imageData.width); + assert.strict(rect.right > rect.left); - assert.isTrue(rect.top >= 0 && rect.top <= imageData.height); - assert.isTrue(rect.bottom >= 0 && rect.bottom <= imageData.height); - assert.isTrue(rect.bottom > rect.top); - } + assert.strict(rect.top >= 0 && rect.top <= imageData.height); + assert.strict(rect.bottom >= 0 && rect.bottom <= imageData.height); + assert.strict(rect.bottom > rect.top); + } - const lineBoxes = ocr.getBoundingBoxes("line"); - assert.equal(lineBoxes.length, 10); - }); + const lineBoxes = ocr.getBoundingBoxes("line"); + assert.strictEqual(lineBoxes.length, 10); + }, + ); it("can extract bounding boxes without a model loaded", async function () { const ocr = await createEngine({ loadModel: false }); @@ -181,34 +216,38 @@ describe("OCREngine", () => { ocr.loadImage(imageData); const wordBoxes = ocr.getBoundingBoxes("word"); - assert.equal(wordBoxes.length, 153); + assert.strictEqual(wordBoxes.length, 153); }); - it("extracts text boxes from image", async function () { - this.timeout(10_000); - + it("extracts text boxes from image", { timeout: 10_000 }, async function () { const imageData = await loadImage(resolve("./small-test-page.jpg")); ocr.loadImage(imageData); const wordBoxes = ocr.getTextBoxes("word"); - assert.equal(wordBoxes.length, 159); - assert.equal(wordBoxes.at(0).text, "Image"); - assert.equal(wordBoxes.at(-1).text, "complexity."); - assert.approximately(mean(wordBoxes.map((b) => b.text.length)), 6, 2); - assert.approximately(mean(wordBoxes.map((b) => b.confidence)), 0.95, 3); + assert.strictEqual(wordBoxes.length, 159); + assert.strictEqual(wordBoxes.at(0).text, "Image"); + assert.strictEqual(wordBoxes.at(-1).text, "complexity."); + let meanLength = mean(wordBoxes.map((b) => b.text.length)); + assert.strict(meanLength >= 4); + assert.strict(meanLength <= 8); + let meanConfidence = mean(wordBoxes.map((b) => b.confidence)); + assert.strict(meanConfidence >= 0.9); const lineBoxes = ocr.getTextBoxes("line"); - assert.equal(lineBoxes.length, 10); - assert.equal( + assert.strictEqual(lineBoxes.length, 10); + assert.strictEqual( lineBoxes.at(0).text, "Image Thresholding for Optical Character Recognition and\n", ); - assert.equal( + assert.strictEqual( lineBoxes.at(-1).text, "second is a more aggressive approach directed toward specialized, high-volume applications which justify extra complexity.\n", ); - assert.approximately(mean(lineBoxes.map((b) => b.text.length)), 110, 2); - assert.approximately(mean(lineBoxes.map((b) => b.confidence)), 0.95, 3); + const meanLength2 = mean(lineBoxes.map((b) => b.text.length)); + assert.strict(meanLength2 >= 108); + assert.strict(meanLength2 <= 112); + const meanConfidence2 = mean(lineBoxes.map((b) => b.confidence)); + assert.strict(meanConfidence2 >= 0.9); }); [ @@ -219,7 +258,7 @@ describe("OCREngine", () => { it("extracts bounding boxes for empty image", async () => { ocr.loadImage(emptyImage(width, height)); const wordBoxes = ocr.getBoundingBoxes("word"); - assert.equal(wordBoxes.length, 0); + assert.strictEqual(wordBoxes.length, 0); }); // For an empty image, Tesseract returns a single box with all-zero coordinates @@ -227,13 +266,11 @@ describe("OCREngine", () => { it("extracts text boxes for empty image", async () => { ocr.loadImage(emptyImage(width, height)); const wordBoxes = ocr.getTextBoxes("word"); - assert.equal(wordBoxes.length, 1); + assert.strictEqual(wordBoxes.length, 1); }); }); - it("extracts layout flags from image", async function () { - this.timeout(5_000); - + it("extracts layout flags from image", { timeout: 5_000 }, async function () { const imageData = await loadImage(resolve("./small-test-page.jpg")); ocr.loadImage(imageData); @@ -271,9 +308,7 @@ describe("OCREngine", () => { ]); }); - it("extracts text from image", async function () { - this.timeout(5_000); - + it("extracts text from image", { timeout: 5_000 }, async function () { const imageData = await loadImage(resolve("./small-test-page.jpg")); ocr.loadImage(imageData); @@ -285,33 +320,33 @@ describe("OCREngine", () => { ]; for (let phrase of expectedPhrases) { - assert.include(text, phrase); + assert.strict(text.includes(phrase)); } }); - it("accepts emscripten module options", async function () { - this.timeout(5_000); + it( + "accepts emscripten module options", + { timeout: 5_000 }, + async function () { + let stderr = ""; + const writeToStderr = (s) => { + stderr += s; + }; - let stderr = ""; - const writeToStderr = (s) => { - stderr += s; - }; + const ocr = await createEngine({ + emscriptenModuleOptions: { printErr: writeToStderr }, + }); - const ocr = await createEngine({ - emscriptenModuleOptions: { printErr: writeToStderr }, - }); + const imageData = await loadImage(resolve("./small-test-page.jpg")); + ocr.loadImage(imageData); - const imageData = await loadImage(resolve("./small-test-page.jpg")); - ocr.loadImage(imageData); - - ocr.getText(); - - assert.strictEqual(stderr, "Estimating resolution as 171"); - }); + ocr.getText(); - it("extracts hOCR from image", async function () { - this.timeout(5_000); + assert.strictEqual(stderr, "Estimating resolution as 171"); + }, + ); + it("extracts hOCR from image", { timeout: 5_000 }, async function () { const imageData = await loadImage(resolve("./small-test-page.jpg")); ocr.loadImage(imageData); @@ -325,13 +360,11 @@ describe("OCREngine", () => { ]; for (let phrase of expectedPhrases) { - assert.include(html, phrase); + assert.strict(html.includes(phrase)); } }); - it("reports recognition progress", async function () { - this.timeout(5_000); - + it("reports recognition progress", { timeout: 5_000 }, async function () { const imageData = await loadImage(resolve("./small-test-page.jpg")); ocr.loadImage(imageData); @@ -340,17 +373,17 @@ describe("OCREngine", () => { progressSteps.push(progress); }); - assert.isAbove(progressSteps.length, 0); + assert.strict(progressSteps.length > 0); for (let [i, progress] in progressSteps.entries()) { - assert.isAboveOrEqual(progess, 0); - assert.isBelowOrEqual(progress, 100); + assert.strict(progress >= 0); + assert.strict(progress <= 100); if (i > 0) { - assert.isAbove(progress, progressSteps[i - 1]); + assert.strict(progress > progressSteps[i - 1]); } } // We should always get 100% progress at the end. - assert.equal(progressSteps.at(-1), 100); + assert.strictEqual(progressSteps.at(-1), 100); // If recognition has already been completed, progress should jump to 100. progressSteps.splice(0, progressSteps.length); @@ -369,8 +402,8 @@ describe("OCREngine", () => { ocr.loadImage(await toImageData(image)); const estimatedOrient = ocr.getOrientation(); - assert.equal(estimatedOrient.rotation, rotation); - assert.equal(estimatedOrient.confidence, 1); + assert.strictEqual(estimatedOrient.rotation, rotation); + assert.strictEqual(estimatedOrient.confidence, 1); } }); @@ -380,8 +413,12 @@ describe("OCREngine", () => { ocr.clearImage(); - assert.throws(() => { - ocr.getBoundingBoxes("word"); - }, "No image loaded"); + assert.throws( + () => { + ocr.getBoundingBoxes("word"); + }, + new Error("No image loaded"), + undefined, + ); }); });