diff --git a/.devcontainer/aws_secrets_example b/.devcontainer/aws_secrets_example new file mode 100644 index 0000000..f4ed411 --- /dev/null +++ b/.devcontainer/aws_secrets_example @@ -0,0 +1,2 @@ +aws_access_key_id=AKIAIOSFODNN7EXAMPLE +aws_secret_access_key=wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json new file mode 100644 index 0000000..ab5170e --- /dev/null +++ b/.devcontainer/devcontainer.json @@ -0,0 +1,43 @@ +// For format details, see https://aka.ms/devcontainer.json. For config options, see the +// README at: https://github.com/devcontainers/templates/tree/main/src/python +{ + "name": "Python 3", + // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile + "image": "mcr.microsoft.com/devcontainers/python:1-3.9-bookworm", + // Features to add to the dev container. More info: https://containers.dev/features. + "features": { + "ghcr.io/devcontainers-contrib/features/poetry:2": {}, + "ghcr.io/devcontainers-contrib/features/pre-commit:2": {} + }, + + // Use 'forwardPorts' to make a list of ports inside the container available locally. + // "forwardPorts": [], + + // Use 'postCreateCommand' to run commands after the container is created. + "postCreateCommand": "make install-dev", + + // Configure tool-specific properties. + "customizations": { + "vscode": { + "settings": { + "python.defaultInterpreterPath": "/usr/local/bin/python", + "mypy-type-checker.interpreter": [ + "/usr/local/bin/python" + ] + }, + "extensions": [ + "streetsidesoftware.code-spell-checker", + "ms-python.vscode-pylance", + "ms-python.python", + "ms-python.mypy-type-checker", + "ms-toolsai.jupyter", + "tamasfe.even-better-toml" + ] + } + }, + + // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. + "mounts": [ + "source=${localWorkspaceFolder}/.devcontainer/aws_secrets_example,target=/home/vscode/.aws/secrets,type=bind,consistency=cached" + ] +} \ No newline at end of file diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index cacb16b..875fb2f 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -37,3 +37,13 @@ jobs: - name: Run Tests run: | make test + test-notebooks: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - name: Run notebook tests in devcontainer + uses: devcontainers/ci@v0.3 + with: + cacheFrom: mcr.microsoft.com/devcontainers/python:1-3.9-bookworm + push: never + runCmd: make test-notebooks \ No newline at end of file diff --git a/.gitignore b/.gitignore index 1de7eb8..06d9245 100644 --- a/.gitignore +++ b/.gitignore @@ -131,5 +131,7 @@ cython_debug/ .idea/ # Notebook Model Downloads +notebooks/KerasModels notebooks/PyTorchModels/ -pytorch-model-scan-results.json \ No newline at end of file +notebooks/TensorFlowModels/ +notebooks/XGBoostModels/ \ No newline at end of file diff --git a/Makefile b/Makefile index f7d91fd..db123e1 100644 --- a/Makefile +++ b/Makefile @@ -19,6 +19,8 @@ clean: test: poetry run pytest +test-notebooks: + poetry run pytest --nbmake notebooks/pytorch_sentiment_analysis.ipynb notebooks/xgboost_diabetes_classification.ipynb build: poetry build diff --git a/notebooks/keras_fashion_mnist.ipynb b/notebooks/keras_fashion_mnist.ipynb index a1e2b36..6179003 100644 --- a/notebooks/keras_fashion_mnist.ipynb +++ b/notebooks/keras_fashion_mnist.ipynb @@ -44,6 +44,7 @@ "source": [ "import tensorflow as tf\n", "import os\n", + "\n", "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)\n", "from utils.tensorflow_fashion_mnist_model import train_model, get_predictions" ] @@ -107,7 +108,9 @@ "\n", "safe_model_path = os.path.join(model_directory, \"safe_model.h5\")\n", "model = train_model()\n", - "model.save(safe_model_path,)" + "model.save(\n", + " safe_model_path,\n", + ")" ] }, { @@ -208,16 +211,10 @@ "source": [ "safe_model_loaded = tf.keras.models.load_model(safe_model_path)\n", "\n", - "attack = ( \n", - " lambda x: os.system(\n", - " \"\"\"cat ~/.aws/secrets\"\"\"\n", - " )\n", - " or x\n", - ")\n", + "attack = lambda x: os.system(\"\"\"cat ~/.aws/secrets\"\"\") or x\n", "\n", "lambda_layer = tf.keras.layers.Lambda(attack)(safe_model_loaded.outputs[-1])\n", - "unsafe_model = tf.keras.Model(inputs=safe_model_loaded.inputs, outputs=lambda_layer)\n", - "\n" + "unsafe_model = tf.keras.Model(inputs=safe_model_loaded.inputs, outputs=lambda_layer)" ] }, { diff --git a/notebooks/pytorch_sentiment_analysis.ipynb b/notebooks/pytorch_sentiment_analysis.ipynb index f30f15a..cf8f61e 100644 --- a/notebooks/pytorch_sentiment_analysis.ipynb +++ b/notebooks/pytorch_sentiment_analysis.ipynb @@ -42,6 +42,9 @@ "name": "stdout", "output_type": "stream", "text": [ + "Note: you may need to restart the kernel to use updated packages.\n", + "Note: you may need to restart the kernel to use updated packages.\n", + "Note: you may need to restart the kernel to use updated packages.\n" ] } ], @@ -53,7 +56,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -62,6 +65,14 @@ "text": [ "env: TOKENIZERS_PARALLELISM=false\n" ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/vscode/.cache/pypoetry/virtualenvs/modelscan-d-AHl6rn-py3.9/lib/python3.9/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] } ], "source": [ @@ -85,8 +96,15 @@ }, { "cell_type": "code", - "execution_count": 5, - "metadata": {}, + "execution_count": 4, + "metadata": { + "nbmake": { + "post_cell_execute": [ + "import os\n", + "assert os.path.isfile(safe_model_path)" + ] + } + }, "outputs": [], "source": [ "# Save a model for sentiment analysis\n", @@ -110,21 +128,31 @@ }, { "cell_type": "code", - "execution_count": 6, - "metadata": {}, + "execution_count": 5, + "metadata": { + "nbmake": { + "post_cell_execute": [ + "assert sentiment == 'The overall sentiment is: negative with a score of: 85.9%'" + ] + } + }, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "The overall sentiment is: negative with a score of: 85.9%\n" - ] + "data": { + "text/plain": [ + "'The overall sentiment is: negative with a score of: 85.9%'" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ "sentiment = predict_sentiment(\n", " \"Stock market was bearish today\", torch.load(safe_model_path)\n", - ")" + ")\n", + "sentiment" ] }, { @@ -138,20 +166,40 @@ }, { "cell_type": "code", - "execution_count": 7, - "metadata": {}, + "execution_count": 6, + "metadata": { + "nbmake": { + "post_cell_execute": [ + "import json\n", + "!modelscan --path PyTorchModels/safe_model.pt --reporting-format=json --output-file PyTorchModels/safe_model_results.json\n", + "with open('PyTorchModels/safe_model_results.json', 'rb') as f:\n", + " data = json.load(f)\n", + "summary = data['summary']\n", + "assert summary['input_path'] == 'PyTorchModels/safe_model.pt'\n", + "assert summary['total_issues_by_severity'] == {'LOW': 0, 'MEDIUM': 0, 'HIGH': 0, 'CRITICAL': 0}\n", + "assert summary['total_issues'] == 0\n", + "assert summary['scanned']['total_scanned'] == 1\n", + "assert data['issues'] == []\n", + "assert data['errors'] == []" + ] + } + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "No settings file detected at /Users/mehrinkiani/Documents/modelscan/notebooks/modelscan-settings.toml. Using defaults. \n", - "\n", - "Scanning /Users/mehrinkiani/Documents/modelscan/notebooks/PyTorchModels/safe_model.pt:safe_model/data.pkl using modelscan.scanners.PickleUnsafeOpScan model scan\n", - "\n", - "\u001b[34m--- Summary ---\u001b[0m\n", - "\n", - "\u001b[32m No issues found! 🎉\u001b[0m\n" + "No settings file detected at /workspaces/modelscan/notebooks/modelscan-settings.toml. Using defaults. \n", + "\n", + "Scanning /workspaces/modelscan/notebooks/PyTorchModels/safe_model.pt:safe_model/data.pkl using modelscan.scanners.PickleUnsafeOpScan model scan\n", + "\n", + "\u001b[34m--- Summary ---\u001b[0m\n", + "\n", + "\u001b[32m No issues found! 🎉\u001b[0m\n", + "\n", + "\u001b[34m--- Skipped --- \u001b[0m\n", + "\n", + "Total skipped: \u001b[1;36m204\u001b[0m - run with --show-skipped to see the full list.\n" ] } ], @@ -170,8 +218,14 @@ }, { "cell_type": "code", - "execution_count": 8, - "metadata": {}, + "execution_count": 7, + "metadata": { + "nbmake": { + "post_cell_execute": [ + "assert os.path.isfile(unsafe_model_path)" + ] + } + }, "outputs": [], "source": [ "command = \"system\"\n", @@ -201,21 +255,39 @@ }, { "cell_type": "code", - "execution_count": 9, - "metadata": {}, + "execution_count": 8, + "metadata": { + "nbmake": { + "post_cell_execute": [ + "assert sentiment == 'The overall sentiment is: negative with a score of: 85.9%'" + ] + } + }, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "aws_access_key_id=\n", - "aws_secret_access_key=\n", - "The overall sentiment is: negative with a score of: 85.9%\n" + "aws_access_key_id=AKIAIOSFODNN7EXAMPLE\n", + "aws_secret_access_key=wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY\n" ] + }, + { + "data": { + "text/plain": [ + "'The overall sentiment is: negative with a score of: 85.9%'" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "predict_sentiment(\"Stock market was bearish today\", torch.load(unsafe_model_path))" + "sentiment = predict_sentiment(\n", + " \"Stock market was bearish today\", torch.load(unsafe_model_path)\n", + ")\n", + "sentiment" ] }, { @@ -231,36 +303,40 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "No settings file detected at /Users/mehrinkiani/Documents/modelscan/notebooks/modelscan-settings.toml. Using defaults. \n", - "\n", - "Scanning /Users/mehrinkiani/Documents/modelscan/notebooks/PyTorchModels/unsafe_model.pt:unsafe_model/data.pkl using modelscan.scanners.PickleUnsafeOpScan model scan\n", - "\n", - "\u001b[34m--- Summary ---\u001b[0m\n", - "\n", - "Total Issues: \u001b[1;36m1\u001b[0m\n", - "\n", - "Total Issues By Severity:\n", - "\n", - " - LOW: \u001b[1;32m0\u001b[0m\n", - " - MEDIUM: \u001b[1;32m0\u001b[0m\n", - " - HIGH: \u001b[1;32m0\u001b[0m\n", - " - CRITICAL: \u001b[1;36m1\u001b[0m\n", - "\n", - "\u001b[34m--- Issues by Severity ---\u001b[0m\n", - "\n", - "\u001b[34m--- CRITICAL ---\u001b[0m\n", - "\n", - "Unsafe operator found:\n", - " - Severity: CRITICAL\n", - " - Description: Use of unsafe operator 'system' from module 'posix'\n", - " - Source: /Users/mehrinkiani/Documents/modelscan/notebooks/PyTorchModels/unsafe_model.pt:unsafe_model/data.pkl\n" + "No settings file detected at /workspaces/modelscan/notebooks/modelscan-settings.toml. Using defaults. \n", + "\n", + "Scanning /workspaces/modelscan/notebooks/PyTorchModels/unsafe_model.pt:unsafe_model/data.pkl using modelscan.scanners.PickleUnsafeOpScan model scan\n", + "\n", + "\u001b[34m--- Summary ---\u001b[0m\n", + "\n", + "Total Issues: \u001b[1;36m1\u001b[0m\n", + "\n", + "Total Issues By Severity:\n", + "\n", + " - LOW: \u001b[1;32m0\u001b[0m\n", + " - MEDIUM: \u001b[1;32m0\u001b[0m\n", + " - HIGH: \u001b[1;32m0\u001b[0m\n", + " - CRITICAL: \u001b[1;36m1\u001b[0m\n", + "\n", + "\u001b[34m--- Issues by Severity ---\u001b[0m\n", + "\n", + "\u001b[34m--- CRITICAL ---\u001b[0m\n", + "\n", + "Unsafe operator found:\n", + " - Severity: CRITICAL\n", + " - Description: Use of unsafe operator 'system' from module 'posix'\n", + " - Source: /workspaces/modelscan/notebooks/PyTorchModels/unsafe_model.pt:unsafe_model/data.pkl\n", + "\n", + "\u001b[34m--- Skipped --- \u001b[0m\n", + "\n", + "Total skipped: \u001b[1;36m204\u001b[0m - run with --show-skipped to see the full list.\n" ] } ], @@ -287,34 +363,47 @@ }, { "cell_type": "code", - "execution_count": 11, - "metadata": {}, + "execution_count": 10, + "metadata": { + "nbmake": { + "post_cell_execute": [ + "import json\n", + "with open('PyTorchModels/pytorch-model-scan-results.json', 'rb') as f:\n", + " data = json.load(f)\n", + "summary = data['summary']\n", + "assert summary['input_path'] == './PyTorchModels/unsafe_model.pt'\n", + "assert summary['total_issues_by_severity'] == {'LOW': 0, 'MEDIUM': 0, 'HIGH': 0, 'CRITICAL': 1}\n", + "assert summary['total_issues'] == 1\n", + "assert summary['scanned']['total_scanned'] == 1\n", + "assert data['issues'] == [{'description': 'Use of unsafe operator \\'system\\' from module \\'posix\\'', 'operator': 'system', 'module': 'posix', 'source': 'unsafe_model.pt:unsafe_model/data.pkl', 'scanner': 'modelscan.scanners.PickleUnsafeOpScan', 'severity': 'CRITICAL'}]\n", + "assert len(data['errors']) == 0" + ] + } + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "No settings file detected at /Users/mehrinkiani/Documents/modelscan/notebooks/modelscan-settings.toml. Using defaults. \n", - "\n", - "Scanning /Users/mehrinkiani/Documents/modelscan/notebooks/PyTorchModels/unsafe_model.pt:unsafe_model/data.pkl using modelscan.scanners.PickleUnsafeOpScan model scan\n", - "\u001b[1m{\u001b[0m\u001b[32m\"modelscan_version\"\u001b[0m: \u001b[32m\"0.5.0\"\u001b[0m, \u001b[32m\"timestamp\"\u001b[0m: \u001b[32m\"2024-01-25T17:10:54.306065\"\u001b[0m, \n", - "\u001b[32m\"input_path\"\u001b[0m: \n", - "\u001b[32m\"/Users/mehrinkiani/Documents/modelscan/notebooks/PyTorchModels/unsafe_model.pt\"\u001b[0m\n", - ", \u001b[32m\"total_issues\"\u001b[0m: \u001b[1;36m1\u001b[0m, \u001b[32m\"summary\"\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m\"total_issues_by_severity\"\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m\"LOW\"\u001b[0m: \u001b[1;36m0\u001b[0m, \n", - "\u001b[32m\"MEDIUM\"\u001b[0m: \u001b[1;36m0\u001b[0m, \u001b[32m\"HIGH\"\u001b[0m: \u001b[1;36m0\u001b[0m, \u001b[32m\"CRITICAL\"\u001b[0m: \u001b[1;36m1\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m, \u001b[32m\"issues_by_severity\"\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m\"CRITICAL\"\u001b[0m: \n", - "\u001b[1m[\u001b[0m\u001b[1m{\u001b[0m\u001b[32m\"description\"\u001b[0m: \u001b[32m\"Use of unsafe operator 'system' from module 'posix'\"\u001b[0m, \n", - "\u001b[32m\"operator\"\u001b[0m: \u001b[32m\"system\"\u001b[0m, \u001b[32m\"module\"\u001b[0m: \u001b[32m\"posix\"\u001b[0m, \u001b[32m\"source\"\u001b[0m: \n", - "\u001b[32m\"/Users/mehrinkiani/Documents/modelscan/notebooks/PyTorchModels/unsafe_model.pt:\u001b[0m\n", - "\u001b[32munsafe_model/data.pkl\"\u001b[0m, \u001b[32m\"scanner\"\u001b[0m: \u001b[32m\"modelscan.scanners.PickleUnsafeOpScan\"\u001b[0m\u001b[1m}\u001b[0m\u001b[1m]\u001b[0m\u001b[1m}\u001b[0m, \n", - "\u001b[32m\"errors\"\u001b[0m: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m, \u001b[32m\"scanned\"\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m\"total_scanned\"\u001b[0m: \u001b[1;36m1\u001b[0m, \u001b[32m\"scanned_files\"\u001b[0m: \n", - "\u001b[1m[\u001b[0m\u001b[32m\"/Users/mehrinkiani/Documents/modelscan/notebooks/PyTorchModels/unsafe_model.pt\u001b[0m\n", - "\u001b[32m:unsafe_model/data.pkl\"\u001b[0m\u001b[1m]\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m\n" + "No settings file detected at /workspaces/modelscan/notebooks/modelscan-settings.toml. Using defaults. \n", + "\n", + "Scanning /workspaces/modelscan/notebooks/PyTorchModels/unsafe_model.pt:unsafe_model/data.pkl using modelscan.scanners.PickleUnsafeOpScan model scan\n", + "\u001b[1m{\u001b[0m\u001b[32m\"summary\"\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m\"total_issues_by_severity\"\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m\"LOW\"\u001b[0m: \u001b[1;36m0\u001b[0m, \u001b[32m\"MEDIUM\"\u001b[0m: \u001b[1;36m0\u001b[0m, \u001b[32m\"HIGH\"\u001b[0m: \u001b[1;36m0\u001b[0m, \n", + "\u001b[32m\"CRITICAL\"\u001b[0m: \u001b[1;36m1\u001b[0m\u001b[1m}\u001b[0m, \u001b[32m\"total_issues\"\u001b[0m: \u001b[1;36m1\u001b[0m, \u001b[32m\"input_path\"\u001b[0m: \n", + "\u001b[32m\"./PyTorchModels/unsafe_model.pt\"\u001b[0m, \u001b[32m\"absolute_path\"\u001b[0m: \n", + "\u001b[32m\"/workspaces/modelscan/notebooks/PyTorchModels\"\u001b[0m, \u001b[32m\"modelscan_version\"\u001b[0m: \u001b[32m\"0.0.0\"\u001b[0m, \n", + "\u001b[32m\"timestamp\"\u001b[0m: \u001b[32m\"2024-04-21T10:49:44.690078\"\u001b[0m, \u001b[32m\"scanned\"\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m\"total_scanned\"\u001b[0m: \u001b[1;36m1\u001b[0m, \n", + "\u001b[32m\"scanned_files\"\u001b[0m: \u001b[1m[\u001b[0m\u001b[32m\"unsafe_model.pt:unsafe_model/data.pkl\"\u001b[0m\u001b[1m]\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m, \u001b[32m\"issues\"\u001b[0m: \n", + "\u001b[1m[\u001b[0m\u001b[1m{\u001b[0m\u001b[32m\"description\"\u001b[0m: \u001b[32m\"Use of unsafe operator 'system' from module 'posix'\"\u001b[0m, \n", + "\u001b[32m\"operator\"\u001b[0m: \u001b[32m\"system\"\u001b[0m, \u001b[32m\"module\"\u001b[0m: \u001b[32m\"posix\"\u001b[0m, \u001b[32m\"source\"\u001b[0m: \n", + "\u001b[32m\"unsafe_model.pt:unsafe_model/data.pkl\"\u001b[0m, \u001b[32m\"scanner\"\u001b[0m: \n", + "\u001b[32m\"modelscan.scanners.PickleUnsafeOpScan\"\u001b[0m, \u001b[32m\"severity\"\u001b[0m: \u001b[32m\"CRITICAL\"\u001b[0m\u001b[1m}\u001b[0m\u001b[1m]\u001b[0m, \u001b[32m\"errors\"\u001b[0m: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\u001b[1m}\u001b[0m\n" ] } ], "source": [ "# This will save the scan results in file: pytorch-model-scan-results.json\n", - "!modelscan --path ./PyTorchModels/unsafe_model.pt -r json -o pytorch-model-scan-results.json" + "!modelscan --path ./PyTorchModels/unsafe_model.pt -r json -o PyTorchModels/pytorch-model-scan-results.json" ] } ], @@ -334,7 +423,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.14" + "version": "3.9.19" }, "vscode": { "interpreter": { diff --git a/notebooks/tensorflow_fashion_mnist.ipynb b/notebooks/tensorflow_fashion_mnist.ipynb index bdd48e6..176f139 100644 --- a/notebooks/tensorflow_fashion_mnist.ipynb +++ b/notebooks/tensorflow_fashion_mnist.ipynb @@ -44,6 +44,7 @@ "source": [ "import tensorflow as tf\n", "import os\n", + "\n", "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)\n", "from utils.tensorflow_fashion_mnist_model import train_model, get_predictions\n", "from utils.tensorflow_codeinjection import MaliciousModule" @@ -101,7 +102,7 @@ "\n", "safe_model_path = os.path.join(model_directory, \"safe_model\")\n", "model = train_model()\n", - "model.save(safe_model_path)\n" + "model.save(safe_model_path)" ] }, { @@ -197,7 +198,7 @@ "outputs": [], "source": [ "unsafe_model = MaliciousModule(model)\n", - "unsafe_model.build(input_shape=(None, 28,28))\n", + "unsafe_model.build(input_shape=(None, 28, 28))\n", "\n", "# Save the unsafe model\n", "unsafe_model_path = os.path.join(model_directory, \"unsafe_model\")\n", diff --git a/notebooks/utils/pytorch_sentiment_model.py b/notebooks/utils/pytorch_sentiment_model.py index 25278df..218ce42 100644 --- a/notebooks/utils/pytorch_sentiment_model.py +++ b/notebooks/utils/pytorch_sentiment_model.py @@ -42,7 +42,7 @@ def download_model(safe_model_path: str) -> None: torch.save(model, safe_model_path) -def predict_sentiment(text: str, model: Any) -> None: +def predict_sentiment(text: str, model: Any) -> str: """ Predict the sentiment of a given text using a pre-trained sentiment analysis model. @@ -69,6 +69,4 @@ def predict_sentiment(text: str, model: Any) -> None: ranking = np.argsort(scores) ranking = ranking[::-1] - print( - f"The overall sentiment is: {labels[ranking[0]]} with a score of: {np.round(float(scores[ranking[0]])*100, 1)}%" - ) + return f"The overall sentiment is: {labels[ranking[0]]} with a score of: {np.round(float(scores[ranking[0]])*100, 1)}%" diff --git a/notebooks/xgboost_diabetes_classification.ipynb b/notebooks/xgboost_diabetes_classification.ipynb index abeea89..c96911d 100644 --- a/notebooks/xgboost_diabetes_classification.ipynb +++ b/notebooks/xgboost_diabetes_classification.ipynb @@ -18,12 +18,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "modelscan, version 0.5.0\n" + "Note: you may need to restart the kernel to use updated packages.\n", + "modelscan, version 0.0.0\n" ] } ], "source": [ - "!pip install -q modelscan\n", + "%pip install -q modelscan\n", "!modelscan -v" ] }, @@ -32,10 +33,19 @@ "execution_count": 2, "id": "eb656ce5", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Note: you may need to restart the kernel to use updated packages.\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], "source": [ - "!pip install -q xgboost==1.7.6\n", - "!pip install -U -q scikit-learn==1.3.0" + "%pip install -q xgboost==2.0.3\n", + "%pip install -U -q scikit-learn==1.4.2" ] }, { @@ -122,15 +132,31 @@ "cell_type": "code", "execution_count": 6, "id": "ccfeee08", - "metadata": {}, + "metadata": { + "nbmake": { + "post_cell_execute": [ + "import json\n", + "!modelscan --path XGBoostModels/safe_model.pkl --reporting-format=json --output-file XGBoostModels/safe_model_results.json\n", + "with open('XGBoostModels/safe_model_results.json', 'rb') as f:\n", + " data = json.load(f)\n", + "summary = data['summary']\n", + "assert summary['input_path'] == 'XGBoostModels/safe_model.pkl'\n", + "assert summary['total_issues_by_severity'] == {'LOW': 0, 'MEDIUM': 0, 'HIGH': 0, 'CRITICAL': 0}\n", + "assert summary['total_issues'] == 0\n", + "assert summary['scanned']['total_scanned'] == 1\n", + "assert data['issues'] == []\n", + "assert data['errors'] == []" + ] + } + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "No settings file detected at /Users/mehrinkiani/Documents/modelscan/notebooks/modelscan-settings.toml. Using defaults. \n", + "No settings file detected at /workspaces/modelscan/notebooks/modelscan-settings.toml. Using defaults. \n", "\n", - "Scanning /Users/mehrinkiani/Documents/modelscan/notebooks/XGBoostModels/safe_model.pkl using modelscan.scanners.PickleUnsafeOpScan model scan\n", + "Scanning /workspaces/modelscan/notebooks/XGBoostModels/safe_model.pkl using modelscan.scanners.PickleUnsafeOpScan model scan\n", "\n", "\u001b[34m--- Summary ---\u001b[0m\n", "\n", @@ -201,8 +227,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "aws_access_key_id=\n", - "aws_secret_access_key=\n", + "aws_access_key_id=AKIAIOSFODNN7EXAMPLE\n", + "aws_secret_access_key=wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY\n", "The model predicts: [0, 1, 1]\n", "The true labels are: [0. 1. 1.]\n" ] @@ -237,9 +263,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "No settings file detected at /Users/mehrinkiani/Documents/modelscan/notebooks/modelscan-settings.toml. Using defaults. \n", + "No settings file detected at /workspaces/modelscan/notebooks/modelscan-settings.toml. Using defaults. \n", "\n", - "Scanning /Users/mehrinkiani/Documents/modelscan/notebooks/XGBoostModels/unsafe_model.pkl using modelscan.scanners.PickleUnsafeOpScan model scan\n", + "Scanning /workspaces/modelscan/notebooks/XGBoostModels/unsafe_model.pkl using modelscan.scanners.PickleUnsafeOpScan model scan\n", "\n", "\u001b[34m--- Summary ---\u001b[0m\n", "\n", @@ -259,7 +285,7 @@ "Unsafe operator found:\n", " - Severity: CRITICAL\n", " - Description: Use of unsafe operator 'system' from module 'posix'\n", - " - Source: /Users/mehrinkiani/Documents/modelscan/notebooks/XGBoostModels/unsafe_model.pkl\n" + " - Source: /workspaces/modelscan/notebooks/XGBoostModels/unsafe_model.pkl\n" ] } ], @@ -290,33 +316,45 @@ "cell_type": "code", "execution_count": 11, "id": "6df55b3e", - "metadata": {}, + "metadata": { + "nbmake": { + "post_cell_execute": [ + "import json\n", + "with open('XGBoostModels/xgboost-model-scan-results.json', 'rb') as f:\n", + " data = json.load(f)\n", + "summary = data['summary']\n", + "assert summary['input_path'] == 'XGBoostModels/unsafe_model.pkl'\n", + "assert summary['total_issues_by_severity'] == {'LOW': 0, 'MEDIUM': 0, 'HIGH': 0, 'CRITICAL': 1}\n", + "assert summary['total_issues'] == 1\n", + "assert summary['scanned']['total_scanned'] == 1\n", + "assert data['issues'] == [{'description': 'Use of unsafe operator \\'system\\' from module \\'posix\\'', 'operator': 'system', 'module': 'posix', 'source': 'unsafe_model.pkl', 'scanner': 'modelscan.scanners.PickleUnsafeOpScan', 'severity': 'CRITICAL'}]\n", + "assert len(data['errors']) == 0" + ] + } + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "No settings file detected at /Users/mehrinkiani/Documents/modelscan/notebooks/modelscan-settings.toml. Using defaults. \n", + "No settings file detected at /workspaces/modelscan/notebooks/modelscan-settings.toml. Using defaults. \n", "\n", - "Scanning /Users/mehrinkiani/Documents/modelscan/notebooks/XGBoostModels/unsafe_model.pkl using modelscan.scanners.PickleUnsafeOpScan model scan\n", - "\u001b[1m{\u001b[0m\u001b[32m\"modelscan_version\"\u001b[0m: \u001b[32m\"0.5.0\"\u001b[0m, \u001b[32m\"timestamp\"\u001b[0m: \u001b[32m\"2024-01-25T17:56:00.855056\"\u001b[0m, \n", - "\u001b[32m\"input_path\"\u001b[0m: \n", - "\u001b[32m\"/Users/mehrinkiani/Documents/modelscan/notebooks/XGBoostModels/unsafe_model.pkl\u001b[0m\n", - "\u001b[32m\"\u001b[0m, \u001b[32m\"total_issues\"\u001b[0m: \u001b[1;36m1\u001b[0m, \u001b[32m\"summary\"\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m\"total_issues_by_severity\"\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m\"LOW\"\u001b[0m: \u001b[1;36m0\u001b[0m, \n", - "\u001b[32m\"MEDIUM\"\u001b[0m: \u001b[1;36m0\u001b[0m, \u001b[32m\"HIGH\"\u001b[0m: \u001b[1;36m0\u001b[0m, \u001b[32m\"CRITICAL\"\u001b[0m: \u001b[1;36m1\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m, \u001b[32m\"issues_by_severity\"\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m\"CRITICAL\"\u001b[0m: \n", - "\u001b[1m[\u001b[0m\u001b[1m{\u001b[0m\u001b[32m\"description\"\u001b[0m: \u001b[32m\"Use of unsafe operator 'system' from module 'posix'\"\u001b[0m, \n", - "\u001b[32m\"operator\"\u001b[0m: \u001b[32m\"system\"\u001b[0m, \u001b[32m\"module\"\u001b[0m: \u001b[32m\"posix\"\u001b[0m, \u001b[32m\"source\"\u001b[0m: \n", - "\u001b[32m\"/Users/mehrinkiani/Documents/modelscan/notebooks/XGBoostModels/unsafe_model.pkl\u001b[0m\n", - "\u001b[32m\"\u001b[0m, \u001b[32m\"scanner\"\u001b[0m: \u001b[32m\"modelscan.scanners.PickleUnsafeOpScan\"\u001b[0m\u001b[1m}\u001b[0m\u001b[1m]\u001b[0m\u001b[1m}\u001b[0m, \u001b[32m\"errors\"\u001b[0m: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m, \n", - "\u001b[32m\"scanned\"\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m\"total_scanned\"\u001b[0m: \u001b[1;36m1\u001b[0m, \u001b[32m\"scanned_files\"\u001b[0m: \n", - "\u001b[1m[\u001b[0m\u001b[32m\"/Users/mehrinkiani/Documents/modelscan/notebooks/XGBoostModels/unsafe_model.pk\u001b[0m\n", - "\u001b[32ml\"\u001b[0m\u001b[1m]\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m\n" + "Scanning /workspaces/modelscan/notebooks/XGBoostModels/unsafe_model.pkl using modelscan.scanners.PickleUnsafeOpScan model scan\n", + "\u001b[1m{\u001b[0m\u001b[32m\"summary\"\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m\"total_issues_by_severity\"\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m\"LOW\"\u001b[0m: \u001b[1;36m0\u001b[0m, \u001b[32m\"MEDIUM\"\u001b[0m: \u001b[1;36m0\u001b[0m, \u001b[32m\"HIGH\"\u001b[0m: \u001b[1;36m0\u001b[0m, \n", + "\u001b[32m\"CRITICAL\"\u001b[0m: \u001b[1;36m1\u001b[0m\u001b[1m}\u001b[0m, \u001b[32m\"total_issues\"\u001b[0m: \u001b[1;36m1\u001b[0m, \u001b[32m\"input_path\"\u001b[0m: \n", + "\u001b[32m\"XGBoostModels/unsafe_model.pkl\"\u001b[0m, \u001b[32m\"absolute_path\"\u001b[0m: \n", + "\u001b[32m\"/workspaces/modelscan/notebooks/XGBoostModels\"\u001b[0m, \u001b[32m\"modelscan_version\"\u001b[0m: \u001b[32m\"0.0.0\"\u001b[0m, \n", + "\u001b[32m\"timestamp\"\u001b[0m: \u001b[32m\"2024-04-21T12:13:42.698872\"\u001b[0m, \u001b[32m\"scanned\"\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m\"total_scanned\"\u001b[0m: \u001b[1;36m1\u001b[0m, \n", + "\u001b[32m\"scanned_files\"\u001b[0m: \u001b[1m[\u001b[0m\u001b[32m\"unsafe_model.pkl\"\u001b[0m\u001b[1m]\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m, \u001b[32m\"issues\"\u001b[0m: \u001b[1m[\u001b[0m\u001b[1m{\u001b[0m\u001b[32m\"description\"\u001b[0m: \u001b[32m\"Use of \u001b[0m\n", + "\u001b[32munsafe operator 'system' from module 'posix'\"\u001b[0m, \u001b[32m\"operator\"\u001b[0m: \u001b[32m\"system\"\u001b[0m, \u001b[32m\"module\"\u001b[0m: \n", + "\u001b[32m\"posix\"\u001b[0m, \u001b[32m\"source\"\u001b[0m: \u001b[32m\"unsafe_model.pkl\"\u001b[0m, \u001b[32m\"scanner\"\u001b[0m: \n", + "\u001b[32m\"modelscan.scanners.PickleUnsafeOpScan\"\u001b[0m, \u001b[32m\"severity\"\u001b[0m: \u001b[32m\"CRITICAL\"\u001b[0m\u001b[1m}\u001b[0m\u001b[1m]\u001b[0m, \u001b[32m\"errors\"\u001b[0m: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\u001b[1m}\u001b[0m\n" ] } ], "source": [ "# This will save the scan results in file: xgboost-model-scan-results.json\n", - "!modelscan --path XGBoostModels/unsafe_model.pkl -r json -o xgboost-model-scan-results.json" + "!modelscan --path XGBoostModels/unsafe_model.pkl -r json -o XGBoostModels/xgboost-model-scan-results.json" ] } ], @@ -336,7 +374,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.9.19" }, "vscode": { "interpreter": { diff --git a/poetry.lock b/poetry.lock index 1f0595d..ea6aed2 100644 --- a/poetry.lock +++ b/poetry.lock @@ -121,6 +121,35 @@ files = [ [package.dependencies] frozenlist = ">=1.1.0" +[[package]] +name = "appnope" +version = "0.1.4" +description = "Disable App Nap on macOS >= 10.9" +optional = false +python-versions = ">=3.6" +files = [ + {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"}, + {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"}, +] + +[[package]] +name = "asttokens" +version = "2.4.1" +description = "Annotate AST trees with source code positions" +optional = false +python-versions = "*" +files = [ + {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"}, + {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"}, +] + +[package.dependencies] +six = ">=1.12.0" + +[package.extras] +astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"] +test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"] + [[package]] name = "astunparse" version = "1.6.3" @@ -166,6 +195,17 @@ tests = ["attrs[tests-no-zope]", "zope-interface"] tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"] tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"] +[[package]] +name = "backcall" +version = "0.2.0" +description = "Specifications for callback functions passed in to an API" +optional = false +python-versions = "*" +files = [ + {file = "backcall-0.2.0-py2.py3-none-any.whl", hash = "sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"}, + {file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"}, +] + [[package]] name = "bandit" version = "1.7.8" @@ -224,10 +264,12 @@ files = [ [package.dependencies] click = ">=8.0.0" +ipython = {version = ">=7.8.0", optional = true, markers = "extra == \"jupyter\""} mypy-extensions = ">=0.4.3" packaging = ">=22.0" pathspec = ">=0.9.0" platformdirs = ">=2" +tokenize-rt = {version = 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+optional = false +python-versions = "*" +files = [ + {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"}, + {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"}, +] + [[package]] name = "werkzeug" version = "3.0.1" @@ -2303,7 +3236,7 @@ multidict = ">=4.0" name = "zipp" version = "3.17.0" description = "Backport of pathlib-compatible object wrapper for zip files" -optional = true +optional = false python-versions = ">=3.8" files = [ {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"}, @@ -2321,4 +3254,4 @@ tensorflow = ["tensorflow", "tensorflow-macos"] [metadata] lock-version = "2.0" python-versions = ">=3.8,<3.13" -content-hash = "d7b5a659c7b42f8da6ea7a509a9bcbc9c3bff552f92c9f32f4d4c844f0c28769" +content-hash = "df981b3a397f066de2b04c0b28f2acd0a620ae5c9c15e39184d63e059e620740" diff --git a/pyproject.toml b/pyproject.toml index fe88806..ad57d45 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -29,20 +29,21 @@ tensorflow = ["tensorflow", "tensorflow-macos"] h5py = ["h5py"] [tool.poetry.group.test.dependencies] -pytest = "^7.4.0" +aiohttp = "^3.8.5" bandit = { version = "1.7.8", extras = ["toml"] } +dill = "^0.3.7" mypy = "^1.4.1" +nbmake = "^1.5.3" +pytest = "^7.4.0" requests = "^2.31.0" -aiohttp = "^3.8.5" -dill = "^0.3.7" -types-requests = ">1.26" torch = "^2.1.2" +types-requests = ">1.26" [tool.poetry.group.dev.dependencies] +black = {extras = ["jupyter"], version = ">=23.7,<25.0"} dunamai = "^1.18.0" pre-commit = "^3.3.3" -black = ">=23.7,<25.0" [tool.poetry.group.prod.dependencies] dunamai = "^1.18.0"