diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index 3a88fa2..df2aa33 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -55,7 +55,7 @@ jobs: ${{ runner.os }}-onnx-model- - name: Install Dependencies - run: poetry install + run: poetry install -E demo - name: Run Tests - run: poetry run pytest -n auto --cov=iscc_sct --cov-report=xml -v tests + run: poetry run pytest --cov=iscc_sct --cov-report=xml -v tests diff --git a/CHANGELOG.md b/CHANGELOG.md index ad06fa6..fe09848 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -3,6 +3,7 @@ ## [0.1.2] - Unreleased - Encode granular features with base64 - Refactor result format to generic ISCC data model +- Add optional gradio GUI demo ## [0.1.1] - 2024-06-25 - Handle text decoding errors gracefully diff --git a/iscc_sct/demo.py b/iscc_sct/demo.py new file mode 100644 index 0000000..72a90a0 --- /dev/null +++ b/iscc_sct/demo.py @@ -0,0 +1,153 @@ +""" +Gradio demo showcasing ISCC Semantic Text Code. + +The demo features: + +- two side by side text inputs. +- One sample text per input (One sample in english and the other a german translation of it) +- One slider to set global bitlength (32-256 bits in steps of 32 with 64 as default) +- One result output per text input + +The user can select the samples or write or paste text into the inputs and generate ISCC Semantic +Text Codes for the Texts. Below the result outputs we show the similarity of the two codes. +""" + +from loguru import logger as log +import gradio as gr +import iscc_sct as sct + + +def compute_iscc_code(text1, text2, bit_length): + code1 = sct.gen_text_code_semantic(text1, bits=bit_length) + code2 = sct.gen_text_code_semantic(text2, bits=bit_length) + similarity = compare_codes(code1["iscc"], code2["iscc"], bit_length) + return code1["iscc"], code2["iscc"], similarity + + +def compare_codes(code_a, code_b, bits): + if all([code_a, code_b]): + return generate_similarity_bar(hamming_to_cosine(sct.iscc_distance(code_a, code_b), bits)) + + +def hamming_to_cosine(hamming_distance: int, dim: int) -> float: + """Aproximate the cosine similarity for a given hamming distance and dimension""" + result = 1 - (2 * hamming_distance) / dim + return result + + +def generate_similarity_bar(similarity): + """Generate a horizontal bar representing the similarity value, scaled to -100% to +100%.""" + # Scale similarity from [-1, 1] to [-100, 100] + display_similarity = similarity * 100 + + # Calculate the width of the bar based on the absolute value of similarity + bar_width = int(abs(similarity) * 50) # 50% is half the width of the container + + # Determine the color and starting position based on the sign of the similarity + color = "green" if similarity >= 0 else "red" + position = "left" if similarity >= 0 else "right" + + # Adjust the text position to be centered within the colored bar + text_position = "left: 50%;" if similarity >= 0 else "right: 50%;" + text_alignment = "transform: translateX(-50%);" if similarity >= 0 else "transform: translateX(50%);" + + bar_html = f""" +

Semantic Similarity

+
+
+ {display_similarity:.2f}% +
+
+ """ + return bar_html + + +# Sample texts +sample_text_en = "This is a sample text in English to demonstrate the ISCC-CODE generation." +sample_text_de = "Dies ist ein Beispieltext auf Deutsch, um die Erzeugung von ISCC-CODES zu demonstrieren." + +custom_css = """ +#chunked-text span.label { + text-transform: none !important; +} +""" + +iscc_theme = gr.themes.Default( + font=[gr.themes.GoogleFont("Readex Pro")], + font_mono=[gr.themes.GoogleFont("JetBrains Mono")], + radius_size=gr.themes.sizes.radius_none, +) + +with gr.Blocks(css=custom_css, theme=iscc_theme) as demo: + with gr.Row(variant="panel"): + gr.Markdown( + """ + ## ✂️ ISCC Semantic Text-Code + Demo of cross-lingual Semantic Text-Code (proof of concept) + """, + ) + with gr.Row(variant="panel"): + in_iscc_bits = gr.Slider( + label="ISCC Bit-Length", + info="NUMBER OF BITS FOR OUTPUT ISCC", + minimum=64, + maximum=256, + step=32, + value=64, + ) + with gr.Row(variant="panel"): + with gr.Column(variant="panel"): + in_text_a = gr.TextArea( + label="Text", + placeholder="Paste your text here or select sample from below", + lines=12, + max_lines=12, + ) + + gr.Examples(label="Sample Text", examples=[sample_text_en], inputs=[in_text_a]) + out_code_a = gr.Textbox(label="ISCC Code for Text A") + with gr.Column(variant="panel"): + in_text_b = gr.TextArea( + label="Text", + placeholder="Paste your text here or select sample from below", + lines=12, + max_lines=12, + ) + + gr.Examples(label="Sample Text", examples=[sample_text_de], inputs=[in_text_b]) + out_code_b = gr.Textbox(label="ISCC Code for Text B") + + with gr.Row(variant="panel"): + with gr.Column(variant="panel"): + out_similarity = gr.HTML(label="Similarity") + + def process_text(text, nbits, suffix): + log.debug(f"{text[:20]}") + if not text: + return + out_code_func = globals().get(f"out_code_{suffix}") + iscc = sct.Metadata(**sct.gen_text_code_semantic(text, bits=nbits)) + result = {out_code_func: gr.Textbox(value=iscc.iscc)} + return result + + in_text_a.change( + lambda text, nbits: process_text(text, nbits, "a"), + inputs=[in_text_a, in_iscc_bits], + outputs=[out_code_a], + show_progress="full", + ) + in_text_b.change( + lambda text, nbits: process_text(text, nbits, "b"), + inputs=[in_text_b, in_iscc_bits], + outputs=[out_code_b], + show_progress="full", + ) + + out_code_a.change(compare_codes, inputs=[out_code_a, out_code_b, in_iscc_bits], outputs=[out_similarity]) + out_code_b.change(compare_codes, inputs=[out_code_a, out_code_b, in_iscc_bits], outputs=[out_similarity]) + with gr.Row(): + gr.ClearButton(components=[in_text_a, in_text_b]) + + +if __name__ == "__main__": # pragma: no cover + demo.launch() diff --git a/iscc_sct/utils.py b/iscc_sct/utils.py index ffc5cad..dc8fafd 100644 --- a/iscc_sct/utils.py +++ b/iscc_sct/utils.py @@ -1,5 +1,6 @@ -from base64 import b32encode -from pybase64 import urlsafe_b64encode +import math +from base64 import b32encode, b32decode +from pybase64 import urlsafe_b64encode, urlsafe_b64decode from loguru import logger as log import os import time @@ -21,6 +22,7 @@ "encode_base32", "encode_base64", "hamming_distance", + "iscc_distance", "MODEL_PATH", ] @@ -94,6 +96,18 @@ def encode_base32(data): return b32encode(data).decode("ascii").rstrip("=") +def decode_base32(code): + # type: (str) -> bytes + """ + Standard RFC4648 base32 decoding without padding and with casefolding. + """ + # python stdlib does not support base32 without padding, so we have to re-pad. + cl = len(code) + pad_length = math.ceil(cl / 8) * 8 - cl + + return bytes(b32decode(code + "=" * pad_length, casefold=True)) + + def encode_base64(data): # type: (bytes) -> str """ @@ -103,6 +117,16 @@ def encode_base64(data): return code.rstrip("=") +def decode_base64(code): + # type: (str) -> bytes + """ + Standard RFC4648 base64url decoding without padding. + """ + padding = 4 - (len(code) % 4) + string = code + ("=" * padding) + return urlsafe_b64decode(string) + + def hamming_distance(a, b): # type: (bytes, bytes) -> int """ @@ -122,3 +146,33 @@ def hamming_distance(a, b): distance += bin(xor_result).count("1") return distance + + +def iscc_distance(iscc1, iscc2): + # type: (str, str) -> int + """ + Calculate the Hamming distance between two ISCC Semantic Text Codes. + + :param iscc1: The first ISCC Semantic Text Code. + :param iscc2: The second ISCC Semantic Text Code. + :return: The Hamming distance between the two ISCC codes. + :raise ValueError: If the input ISCCs are not valid or of different lengths. + """ + # Remove the "ISCC:" prefix if present + iscc1 = iscc1[5:] if iscc1.startswith("ISCC:") else iscc1 + iscc2 = iscc2[5:] if iscc2.startswith("ISCC:") else iscc2 + + # Decode the base32-encoded ISCCs + decoded1 = decode_base32(iscc1) + decoded2 = decode_base32(iscc2) + + # Check if the decoded ISCCs have the same length + if len(decoded1) != len(decoded2): + raise ValueError("The input ISCCs must have the same length") + + # Remove the 2-byte header from each decoded ISCC + content1 = decoded1[2:] + content2 = decoded2[2:] + + # Calculate and return the Hamming distance + return hamming_distance(content1, content2) diff --git a/poetry.lock b/poetry.lock index 64cd69b..58d9463 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,5 +1,16 @@ # This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. +[[package]] +name = "aiofiles" +version = "23.2.1" +description = "File support for asyncio." +optional = true +python-versions = ">=3.7" +files = [ + {file = "aiofiles-23.2.1-py3-none-any.whl", hash = "sha256:19297512c647d4b27a2cf7c34caa7e405c0d60b5560618a29a9fe027b18b0107"}, + {file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"}, +] + [[package]] name = "annotated-types" version = "0.7.0" @@ -11,6 +22,28 @@ files = [ {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, ] +[[package]] +name = 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"pytest-mypy", "pytest-ruff (>=0.2.1)"] [extras] +demo = ["gradio"] gpu = ["onnxruntime-gpu"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.13" -content-hash = "7f4de379b71a5cdaaad57499d0b5d1a15f2da1e9f23bec58cdafae0621d3eee2" +content-hash = "804d7119c698c83b4c55002395133990324faf1e5eacbbe29afe4c0d525e3a57" diff --git a/pyproject.toml b/pyproject.toml index 934a50e..5c0065e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -59,14 +59,15 @@ charset-normalizer = "*" numpy = "<2.0.0" pybase64 = "^1.4.0" certifi = ">=2024.07.04" +gradio = { version = "*", optional = true } [tool.poetry.extras] gpu = ["onnxruntime-gpu"] +demo = ["gradio"] [tool.poetry.group.test.dependencies] pytest = "*" -pytest-xdist = "*" coverage = "*" pytest-cov = "*" @@ -85,7 +86,7 @@ line-ending = "lf" [tool.poe.tasks] format-code = { cmd = "ruff format", help = "Code style formating with ruff" } format-markdown = { cmd = "mdformat --wrap 119 --end-of-line lf README.md", help = "Markdown formating with mdformat" } -test = { cmd = "pytest -n auto --cov=iscc_sct --cov-fail-under=100 --cov-report=term-missing --color=yes", help = "Run tests with coverage" } +test = { cmd = "pytest --cov=iscc_sct --cov-fail-under=100 --cov-report=term-missing --color=yes", help = "Run tests with coverage" } all = ["format-code", "format-markdown", "test"] [build-system] diff --git a/tests/test_demo.py b/tests/test_demo.py new file mode 100644 index 0000000..1747438 --- /dev/null +++ b/tests/test_demo.py @@ -0,0 +1,80 @@ +from iscc_sct.demo import ( + compute_iscc_code, + compare_codes, + hamming_to_cosine, + generate_similarity_bar, +) + + +def test_compute_iscc_code(): + text1 = "Hello, world!" + text2 = "Hallo, Welt!" + bit_length = 64 + + result = compute_iscc_code(text1, text2, bit_length) + assert len(result) == 3 + assert all(isinstance(code, str) for code in result[:2]) + assert isinstance(result[2], str) + + +def test_compare_codes(): + code_a = "ISCC:EAAQCVG2TABD6" + code_b = "ISCC:EAAQCVG2TABD6" + bits = 64 + + result = compare_codes(code_a, code_b, bits) + assert isinstance(result, str) + assert "100.00%" in result + + result = compare_codes(None, code_b, bits) + assert result is None + + +def test_hamming_to_cosine(): + assert hamming_to_cosine(0, 64) == 1.0 + assert hamming_to_cosine(32, 64) == 0.0 + assert hamming_to_cosine(64, 64) == -1.0 + + +def test_generate_similarity_bar(): + result = generate_similarity_bar(1.0) + assert "100.00%" in result + assert "green" in result + + result = generate_similarity_bar(-0.5) + assert "-50.00%" in result + assert "red" in result + + +from unittest.mock import patch, MagicMock +import gradio as gr +from iscc_sct.demo import process_text + + +@patch("iscc_sct.demo.sct.gen_text_code_semantic") +def test_process_text(mock_gen_text_code): + mock_gen_text_code.return_value = {"iscc": "ISCC:EAAQCVG2TABD6"} + + # Test with valid input + result = process_text("Hello, world!", 64, "a") + assert isinstance(result, dict) + assert len(result) == 1 + key, value = next(iter(result.items())) + assert isinstance(key, gr.components.Textbox) + assert isinstance(value, gr.components.Textbox) + assert value.value == "ISCC:EAAQCVG2TABD6" + + # Test with empty input + result = process_text("", 64, "b") + assert result is None + + # Test with different bit length + process_text("Test", 128, "a") + mock_gen_text_code.assert_called_with("Test", bits=128) + + # Test with different suffix + result = process_text("Test", 64, "b") + assert len(result) == 1 + key, value = next(iter(result.items())) + assert isinstance(key, gr.components.Textbox) + assert isinstance(value, gr.components.Textbox) diff --git a/tests/test_utils.py b/tests/test_utils.py index d54a838..924bffe 100644 --- a/tests/test_utils.py +++ b/tests/test_utils.py @@ -1,4 +1,5 @@ import pytest +import iscc_sct as sct from iscc_sct import utils from blake3 import blake3 @@ -49,3 +50,43 @@ def test_hamming_distance_raises_value_error(): b = b"abcd" with pytest.raises(ValueError): utils.hamming_distance(a, b) + + +def test_encode_decode_base32(): + original = b"Hello, World!" + encoded = utils.encode_base32(original) + assert isinstance(encoded, str) + assert encoded == "JBSWY3DPFQQFO33SNRSCC" + decoded = utils.decode_base32(encoded) + assert isinstance(decoded, bytes) + assert decoded == original + + +def test_encode_decode_base64(): + original = b"Hello, World!" + encoded = utils.encode_base64(original) + assert isinstance(encoded, str) + assert encoded == "SGVsbG8sIFdvcmxkIQ" + decoded = utils.decode_base64(encoded) + assert isinstance(decoded, bytes) + assert decoded == original + + +def test_encode_decode_edge_cases(): + # Test empty input + assert utils.encode_base32(b"") == "" + assert utils.decode_base32("") == b"" + assert utils.encode_base64(b"") == "" + assert utils.decode_base64("") == b"" + + # Test input with padding + original = b"a" + assert utils.decode_base32(utils.encode_base32(original)) == original + assert utils.decode_base64(utils.encode_base64(original)) == original + + +def test_iscc_distance_different_lengths(): + iscc1 = sct.create("Hello", bits=64).iscc + iscc2 = sct.create("Hello", bits=96).iscc + with pytest.raises(ValueError, match="The input ISCCs must have the same length"): + utils.iscc_distance(iscc1, iscc2)