diff --git a/.github/workflows/integration.yaml b/.github/workflows/integration.yaml
index 303a10f92..e2f800d2d 100644
--- a/.github/workflows/integration.yaml
+++ b/.github/workflows/integration.yaml
@@ -50,12 +50,6 @@ jobs:
- name: Remove Build Environment
run: rm -rf .venv
- - name: Setup Virtual Environment
- run: python -m venv sdist-venv
-
- - name: Install Built Package
- run: sdist-venv/bin/pip install --no-cache-dir "$(ls dist/validmind*.whl | head -n 1)[llm,huggingface]"
-
- name: 'Setup Virtual Environment for [all]'
run: python -m venv all-venv
@@ -64,13 +58,13 @@ jobs:
run: all-venv/bin/pip install --no-cache-dir "$(ls dist/validmind*.whl | head -n 1)[all]"
- name: Install Additional Dependencies
- run: sdist-venv/bin/pip install nbformat papermill jupyter
+ run: all-venv/bin/pip install nbformat papermill jupyter
- name: Create Jupyter Kernel
- run: sdist-venv/bin/python -m ipykernel install --user --name sdist-venv
+ run: all-venv/bin/python -m ipykernel install --user --name all-venv
- name: Integration Tests
- run: sdist-venv/bin/python scripts/run_e2e_notebooks.py --kernel sdist-venv
+ run: all-venv/bin/python scripts/run_e2e_notebooks.py --kernel all-venv
env:
NOTEBOOK_RUNNER_DEFAULT_MODEL: ${{ secrets.NOTEBOOK_RUNNER_DEFAULT_PROJECT_ID }}
NOTEBOOK_RUNNER_API_KEY: ${{ secrets.NOTEBOOK_RUNNER_API_KEY }}
diff --git a/README.md b/README.md
index 767c9b947..ebf0946af 100644
--- a/README.md
+++ b/README.md
@@ -63,6 +63,32 @@ pip install validmind
pip install rpy2
```
+## PII Detection
+
+The ValidMind Library includes optional PII detection capabilities using Microsoft Presidio to automatically detect sensitive data in test results and prevent accidental logging.
+
+**Installation:**
+
+```bash
+pip install validmind[pii-detection]
+```
+
+**Configure PII detection:**
+
+```bash
+# Enable PII detection for test results only
+export VALIDMIND_PII_DETECTION=test_results
+
+# Enable PII detection for test descriptions only
+export VALIDMIND_PII_DETECTION=test_descriptions
+
+# Enable PII detection for both test results and descriptions
+export VALIDMIND_PII_DETECTION=all
+
+# Disable PII detection (default)
+export VALIDMIND_PII_DETECTION=disabled
+```
+
## How to contribute
### Install dependencies
diff --git a/notebooks/how_to/configure_pii_detection.ipynb b/notebooks/how_to/configure_pii_detection.ipynb
new file mode 100644
index 000000000..e9461279b
--- /dev/null
+++ b/notebooks/how_to/configure_pii_detection.ipynb
@@ -0,0 +1,189 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# PII Detection Modes with a Custom Test\n",
+ "\n",
+ "This notebook shows how to initialize ValidMind, implement a custom test that emits PII, and observe behavior differences under each `VALIDMIND_PII_DETECTION` mode when running the test with `validmind.tests.run_test`.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Prerequisites\n",
+ "\n",
+ "- `validmind` installed with PII extras:\n",
+ "\n",
+ "```bash\n",
+ "%pip install -q validmind[pii-detection]\n",
+ "```\n",
+ "\n",
+ "- A ValidMind model registered. We'll initialize the library using your model snippet.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%pip install -q \"validmind[pii-detection]\""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Initialize ValidMind\n",
+ "\n",
+ "Initialize using your model code snippet or a `.env` file, as shown in other quickstarts.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Load your model identifier credentials from an `.env` file\n",
+ "%load_ext dotenv\n",
+ "%dotenv .env\n",
+ "\n",
+ "# Or initialize with your code snippet\n",
+ "import validmind as vm\n",
+ "\n",
+ "vm.init(\n",
+ " # api_host=\"...\",\n",
+ " # api_key=\"...\",\n",
+ " # api_secret=\"...\",\n",
+ " # model=\"...\",\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Create a custom test that emits PII\n",
+ "\n",
+ "We'll create a custom test that returns:\n",
+ "- A description string containing PII (name, email, phone)\n",
+ "- A small table containing PII in columns\n",
+ "\n",
+ "This mirrors the structure used in other custom test notebooks and will exercise both table and description PII detection paths.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pandas as pd\n",
+ "\n",
+ "from validmind import test\n",
+ "\n",
+ "@test(\"my_pii_demo.PIIEmittingTest\")\n",
+ "def pii_emitting_test():\n",
+ " \"\"\"A demo test that returns PII\"\"\"\n",
+ " return pd.DataFrame(\n",
+ " {\n",
+ " \"name\": [\"Jane Smith\", \"John Doe\", \"Alice Johnson\"],\n",
+ " \"email\": [\n",
+ " \"jane.smith@bank.example\",\n",
+ " \"john.doe@company.example\",\n",
+ " \"alice.johnson@service.example\",\n",
+ " ],\n",
+ " \"phone\": [\"(212) 555-9876\", \"(415) 555-1234\", \"(646) 555-5678\"],\n",
+ " }\n",
+ " )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Run the test under different PII detection modes\n",
+ "\n",
+ "We'll switch `VALIDMIND_PII_DETECTION` across modes and run the same test with `validmind.tests.run_test`. We catch exceptions to observe blocking behavior.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import os\n",
+ "from validmind.tests import run_test\n",
+ "\n",
+ "MODES = [\"disabled\", \"test_results\", \"test_descriptions\", \"all\"]\n",
+ "\n",
+ "for mode in MODES:\n",
+ " print(\"\\n=== Mode:\", mode, \"===\")\n",
+ " os.environ[\"VALIDMIND_PII_DETECTION\"] = mode\n",
+ " try:\n",
+ " result = run_test(\"my_pii_demo.PIIEmittingTest\")\n",
+ "\n",
+ " # check if the description was generated\n",
+ " if not result._was_description_generated:\n",
+ " print(\"Blocked: Test Description Generation was not run due to PII\")\n",
+ " else:\n",
+ " print(\"Description was generated by LLM\")\n",
+ "\n",
+ " # Try logging (this triggers PII checks before upload)\n",
+ " result.log()\n",
+ " print(\"Logging to API succeeded\")\n",
+ " except Exception as e:\n",
+ " print(\"Blocked: Test Result was not logged due to PII\")\n",
+ " # print(e)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Expected behavior by mode\n",
+ "\n",
+ "- disabled: No PII checks.\n",
+ "- test_results: Description is generated but result is not logged.\n",
+ "- test_descriptions: Description generation is blocked but result is logged.\n",
+ "- all: Description generation and logging are both blocked.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Notes\n",
+ "\n",
+ "- If you see warnings that Presidio is unavailable, ensure you installed extras: `validmind[pii-detection]`.\n",
+ "- You can override blocking by passing `unsafe=True` to `result.log(unsafe=True)`, but this is not recommended outside controlled workflows.\n"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": ".venv",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.12.11"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/poetry.lock b/poetry.lock
index 465ddaade..da85d1a0c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand.
[[package]]
name = "aiodns"
@@ -426,6 +426,19 @@ files = [
{file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
]
+[[package]]
+name = "async-timeout"
+version = "5.0.1"
+description = "Timeout context manager for asyncio programs"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version < \"3.11\""
+files = [
+ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"},
+ {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"},
+]
+
[[package]]
name = "attrs"
version = "25.3.0"
@@ -579,6 +592,57 @@ webencodings = "*"
[package.extras]
css = ["tinycss2 (>=1.1.0,<1.5)"]
+[[package]]
+name = "blis"
+version = "1.3.0"
+description = "The Blis BLAS-like linear algebra library, as a self-contained C-extension."
+optional = true
+python-versions = "<3.14,>=3.6"
+groups = ["main"]
+markers = "extra == \"pii-detection\""
+files = [
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+]
+
+[package.dependencies]
+numpy = {version = ">=1.19.0,<3.0.0", markers = "python_version >= \"3.9\""}
+
[[package]]
name = "brotli"
version = "1.1.0"
@@ -598,6 +662,10 @@ files = [
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@@ -952,6 +1058,28 @@ files = [
[package.dependencies]
colorama = {version = "*", markers = "platform_system == \"Windows\""}
+[[package]]
+name = "cloudpathlib"
+version = "0.21.1"
+description = "pathlib-style classes for cloud storage services."
+optional = true
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"pii-detection\""
+files = [
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+[package.dependencies]
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+
+[package.extras]
+all = ["cloudpathlib[azure]", "cloudpathlib[gs]", "cloudpathlib[s3]"]
+azure = ["azure-storage-blob (>=12)", "azure-storage-file-datalake (>=12)"]
+gs = ["google-cloud-storage"]
+s3 = ["boto3 (>=1.34.0)"]
+
[[package]]
name = "cloudpickle"
version = "3.1.1"
@@ -993,6 +1121,23 @@ files = [
[package.extras]
test = ["pytest"]
+[[package]]
+name = "confection"
+version = "0.1.5"
+description = "The sweetest config system for Python"
+optional = true
+python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"pii-detection\""
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+srsly = ">=2.4.0,<3.0.0"
+
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name = "contourpy"
version = "1.3.0"
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description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
optional = false
python-versions = ">=3.7"
-groups = ["dev"]
-markers = "python_version < \"3.11\" and sys_platform == \"linux\""
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files = [
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]
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[package.dependencies]
cffi = {version = ">=1.12", markers = "platform_python_implementation != \"PyPy\""}
@@ -1225,63 +1370,63 @@ test-randomorder = ["pytest-randomly"]
[[package]]
name = "cryptography"
-version = "45.0.6"
+version = "44.0.3"
description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
optional = false
python-versions = "!=3.9.0,!=3.9.1,>=3.7"
-groups = ["dev"]
-markers = "python_version >= \"3.11\" and sys_platform == \"linux\""
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+
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name = "markdown-it-py"
version = "3.0.0"
description = "Python port of markdown-it. Markdown parsing, done right!"
optional = false
python-versions = ">=3.8"
-groups = ["dev"]
+groups = ["main", "dev"]
files = [
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mdurl = ">=0.1,<1.0"
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[[package]]
name = "marshmallow"
@@ -3789,14 +4133,14 @@ traitlets = "*"
[[package]]
name = "mccabe"
-version = "0.6.1"
+version = "0.7.0"
description = "McCabe checker, plugin for flake8"
optional = false
-python-versions = "*"
+python-versions = ">=3.6"
groups = ["dev"]
files = [
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description = "Markdown URL utilities"
optional = false
python-versions = ">=3.7"
-groups = ["dev"]
+groups = ["main", "dev"]
files = [
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]
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name = "mistune"
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ptyprocess = ">=0.5"
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+testpaths = ["test"]
+
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version = "1.45.1"
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test-core = ["mypy", "pytest", "pytest-cov", "pytest-mpl"]
test-notebooks = ["datasets", "jupyter", "keras", "nbconvert", "nbformat", "nlp", "transformers"]
+[[package]]
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+version = "1.5.4"
+description = "Tool to Detect Surrounding Shell"
+optional = true
+python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"pii-detection\""
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version = "1.17.0"
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sqlcipher = ["sqlcipher3_binary"]
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test = ["pytest", "ruff"]
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flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
ftfy = ["ftfy"]
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integrations = ["kernels (>=0.6.1,<=0.9)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"]
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sigopt = ["sigopt"]
sklearn = ["scikit-learn"]
speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
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tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
@@ -8179,7 +9165,7 @@ tokenizers = ["tokenizers (>=0.21,<0.22)"]
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torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
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video = ["av"]
vision = ["Pillow (>=10.0.1,<=15.0)"]
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rich = ">=12.0.0"
urllib3 = ">=1.26.0"
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+version = "0.16.1"
+description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
+optional = true
+python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"pii-detection\""
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+rich = ">=10.11.0"
+shellingham = ">=1.3.0"
+typing-extensions = ">=3.7.4.3"
+
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name = "types-python-dateutil"
-version = "2.9.0.20250708"
+version = "2.9.0.20250809"
description = "Typing stubs for python-dateutil"
optional = false
python-versions = ">=3.9"
groups = ["dev"]
files = [
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@@ -8360,25 +9365,42 @@ zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "virtualenv"
-version = "20.33.1"
+version = "20.34.0"
description = "Virtual Python Environment builder"
optional = false
python-versions = ">=3.8"
groups = ["dev"]
files = [
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distlib = ">=0.3.7,<1"
filelock = ">=3.12.2,<4"
platformdirs = ">=3.9.1,<5"
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docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
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+python-versions = ">=3.6"
+groups = ["main"]
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+ {file = "zstandard-0.24.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:b91380aefa9c7ac831b011368daf378d3277e0bdeb6bad9535e21251e26dd55a"},
+ {file = "zstandard-0.24.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:010302face38c9a909b8934e3bf6038266d6afc69523f3efa023c5cb5d38271b"},
+ {file = "zstandard-0.24.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:3aa3b4344b206941385a425ea25e6dd63e5cb0f535a4b88d56e3f8902086be9e"},
+ {file = "zstandard-0.24.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:63d39b161000aeeaa06a1cb77c9806e939bfe460dfd593e4cbf24e6bc717ae94"},
+ {file = "zstandard-0.24.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:0ed8345b504df1cab280af923ef69ec0d7d52f7b22f78ec7982fde7c33a43c4f"},
+ {file = "zstandard-0.24.0-cp39-cp39-win32.whl", hash = "sha256:1e133a9dd51ac0bcd5fd547ba7da45a58346dbc63def883f999857b0d0c003c4"},
+ {file = "zstandard-0.24.0-cp39-cp39-win_amd64.whl", hash = "sha256:8ecd3b1f7a601f79e0cd20c26057d770219c0dc2f572ea07390248da2def79a4"},
+ {file = "zstandard-0.24.0.tar.gz", hash = "sha256:fe3198b81c00032326342d973e526803f183f97aa9e9a98e3f897ebafe21178f"},
+]
+
+[package.extras]
+cffi = ["cffi (>=1.17) ; python_version >= \"3.13\" and platform_python_implementation != \"PyPy\""]
[extras]
all = ["arch", "bert-score", "evaluate", "langchain-openai", "langdetect", "nltk", "pycocoevalcap", "ragas", "rouge", "scipy", "scorecardpy", "sentencepiece", "shap", "statsmodels", "textblob", "torch", "transformers", "xgboost"]
@@ -8889,6 +10026,7 @@ explainability = ["shap"]
huggingface = ["sentencepiece", "transformers"]
llm = ["langchain-openai", "pycocoevalcap", "ragas", "sentencepiece", "torch", "transformers"]
nlp = ["bert-score", "evaluate", "langdetect", "nltk", "rouge", "textblob"]
+pii-detection = ["presidio-analyzer", "presidio-structured"]
pytorch = ["torch"]
stats = ["arch", "scipy", "statsmodels"]
xgboost = ["xgboost"]
@@ -8896,4 +10034,4 @@ xgboost = ["xgboost"]
[metadata]
lock-version = "2.1"
python-versions = ">=3.9,<3.13"
-content-hash = "c35d817e2338b5426965c05d442fb97ded7635f1f0fe50f2c4d8d23d96fddcb1"
+content-hash = "8ee77fe173c5abeed209af25844ec7bf38da5cc43a648ef9561a2eee08cbe84c"
diff --git a/pyproject.toml b/pyproject.toml
index b5c53a13f..ead49fa17 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -81,13 +81,14 @@ xgboost = ["xgboost (>=1.5.2,<3)"]
explainability = ["shap (>=0.46.0)"]
credit_risk = ["scorecardpy (>=0.1.9.6,<0.2.0)"]
datasets = ["datasets (>=2.10.0,<3.0.0)"]
+pii-detection = ["presidio-analyzer", "presidio-structured"]
[tool.poetry.group.dev.dependencies]
black = "^22.1.0"
click = "*"
cython = "^0.29.34"
docstring_parser = "*"
-flake8 = "^4.0.1"
+flake8 = "^7.0.0"
griffe = "*"
ipykernel = "^6.22.0"
isort = "^5.12.0"
diff --git a/scripts/run_e2e_notebooks.py b/scripts/run_e2e_notebooks.py
index b5976b1bb..86e99bd4e 100644
--- a/scripts/run_e2e_notebooks.py
+++ b/scripts/run_e2e_notebooks.py
@@ -89,6 +89,7 @@
INIT_CELL_CODE = """
import os
os.environ["VALIDMIND_LLM_DESCRIPTIONS_ENABLED"] = "0"
+os.environ["VALIDMIND_PII_DETECTION"] = "{pii_detection_mode}"
import validmind as vm
vm.init(
@@ -110,6 +111,9 @@
# Print the path to the site-packages directory
logger.info("Site-packages path: " + str(site.getsitepackages()))
+
+# Print PII detection configuration for debugging
+logger.info("PII detection mode: " + os.environ.get("VALIDMIND_PII_DETECTION", "disabled"))
"""
@@ -135,7 +139,19 @@
default=False,
help="Run notebooks for purpose of updating model data templates in backend.",
)
-def main(kernel, log_output=False, progress_bar=True, update_data_template=False):
+@click.option(
+ "--pii-detection-mode",
+ default="disabled",
+ type=click.Choice(["disabled", "test_results", "test_descriptions", "all"]),
+ help="PII detection mode to use for testing.",
+)
+def main(
+ kernel,
+ log_output=False,
+ progress_bar=True,
+ update_data_template=False,
+ pii_detection_mode="disabled",
+):
"""Run notebooks from the specified directory for end-to-end testing."""
if update_data_template:
notebooks = DATA_TEMPLATE_NOTEBOOKS
@@ -152,8 +168,10 @@ def main(kernel, log_output=False, progress_bar=True, update_data_template=False
backup_notebook(notebook_path)
try:
- update_vm_init_cell(notebook_path, model)
- click.echo(f"\n -------- Executing {notebook_path} ---------- \n")
+ update_vm_init_cell(notebook_path, model, pii_detection_mode)
+ click.echo(
+ f"\n -------- Executing {notebook_path} (PII detection: {pii_detection_mode}) ---------- \n"
+ )
run_notebook(
notebook_path=notebook_path,
kernel_name=kernel,
@@ -192,7 +210,7 @@ def run_notebook(notebook_path, kernel_name, log_output=False, progress_bar=True
os.remove(output_path)
-def update_vm_init_cell(notebook_path, model):
+def update_vm_init_cell(notebook_path, model, pii_detection_mode="disabled"):
api_host = os.getenv(
"NOTEBOOK_RUNNER_API_HOST", "https://api.dev.vm.validmind.ai/api/v1/tracking"
)
@@ -204,6 +222,7 @@ def update_vm_init_cell(notebook_path, model):
api_key=api_key,
api_secret=api_secret,
model=model,
+ pii_detection_mode=pii_detection_mode,
)
with open(notebook_path, "r") as f:
diff --git a/tests/test_results.py b/tests/test_results.py
index 9c7c289d2..afa1e7dea 100644
--- a/tests/test_results.py
+++ b/tests/test_results.py
@@ -17,10 +17,10 @@
)
from validmind.vm_models.figure import Figure
from validmind.errors import InvalidParameterError
-from validmind.ai.utils import DescriptionFuture
loop = asyncio.new_event_loop()
+
class MockAsyncResponse:
def __init__(self, status, text=None, json=None):
self.status = status
@@ -40,6 +40,7 @@ async def __aexit__(self, exc_type, exc, tb):
async def __aenter__(self):
return self
+
class TestResultClasses(unittest.TestCase):
def tearDownClass():
loop.close()
@@ -49,17 +50,17 @@ def run_async(self, func, *args, **kwargs):
def test_raw_data_initialization(self):
"""Test RawData initialization and methods"""
- raw_data = RawData(log=True, dataset_duplicates=pd.DataFrame({'col1': [1, 2]}))
-
+ raw_data = RawData(log=True, dataset_duplicates=pd.DataFrame({"col1": [1, 2]}))
+
self.assertTrue(raw_data.log)
self.assertIsInstance(raw_data.dataset_duplicates, pd.DataFrame)
self.assertEqual(raw_data.__repr__(), "RawData(log, dataset_duplicates)")
def test_result_table_initialization(self):
"""Test ResultTable initialization and methods"""
- df = pd.DataFrame({'col1': [1, 2, 3]})
+ df = pd.DataFrame({"col1": [1, 2, 3]})
table = ResultTable(data=df, title="Test Table")
-
+
self.assertEqual(table.title, "Test Table")
self.assertIsInstance(table.data, pd.DataFrame)
self.assertEqual(table.__repr__(), 'ResultTable(title="Test Table")')
@@ -68,15 +69,13 @@ def test_error_result(self):
"""Test ErrorResult initialization and methods"""
error = ValueError("Test error")
error_result = ErrorResult(
- result_id="test_error",
- error=error,
- message="Test error message"
+ result_id="test_error", error=error, message="Test error message"
)
-
+
self.assertEqual(error_result.name, "Failed Test")
self.assertEqual(error_result.error, error)
self.assertEqual(error_result.message, "Test error message")
-
+
widget = error_result.to_widget()
self.assertIsInstance(widget, HTML)
@@ -87,9 +86,9 @@ def test_test_result_initialization(self):
name="Test 1",
description="Test description",
metric=0.95,
- passed=True
+ passed=True,
)
-
+
self.assertEqual(test_result.result_id, "test_1")
self.assertEqual(test_result.name, "Test 1")
self.assertEqual(test_result.description, "Test description")
@@ -99,8 +98,8 @@ def test_test_result_initialization(self):
def test_test_result_add_table(self):
"""Test adding tables to TestResult"""
test_result = TestResult(result_id="test_1")
- df = pd.DataFrame({'col1': [1, 2, 3]})
-
+ df = pd.DataFrame({"col1": [1, 2, 3]})
+
test_result.add_table(df, title="Test Table")
self.assertEqual(len(test_result.tables), 1)
self.assertEqual(test_result.tables[0].title, "Test Table")
@@ -110,7 +109,7 @@ def test_test_result_add_figure(self):
test_result = TestResult(result_id="test_1")
fig = plt.figure()
plt.plot([1, 2, 3])
-
+
test_result.add_figure(fig)
self.assertEqual(len(test_result.figures), 1)
self.assertIsInstance(test_result.figures[0], Figure)
@@ -118,8 +117,8 @@ def test_test_result_add_figure(self):
def test_test_result_remove_table(self):
"""Test removing tables from TestResult"""
test_result = TestResult(result_id="test_1")
- df = pd.DataFrame({'col1': [1, 2, 3]})
-
+ df = pd.DataFrame({"col1": [1, 2, 3]})
+
test_result.add_table(df)
test_result.remove_table(0)
self.assertEqual(len(test_result.tables), 0)
@@ -129,7 +128,7 @@ def test_test_result_remove_figure(self):
test_result = TestResult(result_id="test_1")
fig = plt.figure()
plt.plot([1, 2, 3])
-
+
test_result.add_figure(fig)
test_result.remove_figure(0)
self.assertEqual(len(test_result.figures), 0)
@@ -142,9 +141,9 @@ def test_test_result_serialize(self):
ref_id="ref_1",
params={"param1": 1},
passed=True,
- inputs={} # Initialize empty inputs dictionary
+ inputs={}, # Initialize empty inputs dictionary
)
-
+
serialized = test_result.serialize()
self.assertEqual(serialized["test_name"], "test_1")
self.assertEqual(serialized["title"], "Test Title")
@@ -156,57 +155,55 @@ def test_test_result_serialize(self):
@patch("validmind.api_client.alog_test_result")
@patch("validmind.api_client.alog_figure")
@patch("validmind.api_client.alog_metric")
- async def test_test_result_log_async(self, mock_metric, mock_figure, mock_test_result):
+ async def test_test_result_log_async(
+ self, mock_metric, mock_figure, mock_test_result
+ ):
"""Test async logging of TestResult"""
mock_test_result.return_value = MockAsyncResponse(200, json={"cuid": "123"})
mock_figure.return_value = MockAsyncResponse(200, json={"cuid": "456"})
mock_metric.return_value = MockAsyncResponse(200, json={"cuid": "789"})
test_result = TestResult(
- result_id="test_1",
- metric=0.95,
- description="Test description"
+ result_id="test_1", metric=0.95, description="Test description"
)
-
+
await test_result.log_async(section_id="section_1", position=0)
-
+
mock_test_result.assert_called_once()
mock_metric.assert_called_once()
def test_text_generation_result(self):
"""Test TextGenerationResult initialization and methods"""
text_result = TextGenerationResult(
- result_id="text_1",
- title="Text Test",
- description="Generated text"
+ result_id="text_1", title="Text Test", description="Generated text"
)
-
+
self.assertEqual(text_result.name, "Text Generation Result")
self.assertEqual(text_result.title, "Text Test")
self.assertEqual(text_result.description, "Generated text")
-
+
widget = text_result.to_widget()
self.assertIsInstance(widget, VBox)
def test_validate_log_config(self):
"""Test validation of log configuration"""
test_result = TestResult(result_id="test_1")
-
+
# Test valid config
valid_config = {
"hideTitle": True,
"hideText": False,
"hideParams": True,
"hideTables": False,
- "hideFigures": True
+ "hideFigures": True,
}
test_result.validate_log_config(valid_config) # Should not raise exception
-
+
# Test invalid keys
invalid_config = {"invalidKey": True}
with self.assertRaises(InvalidParameterError):
test_result.validate_log_config(invalid_config)
-
+
# Test non-boolean values
invalid_type_config = {"hideTitle": "true"}
with self.assertRaises(InvalidParameterError):
@@ -219,20 +216,18 @@ async def test_metadata_update_content_id_handling(self, mock_update_metadata):
test_result = TestResult(
result_id="test_1",
description="Test description",
- _was_description_generated=False
+ _was_description_generated=False,
)
await test_result.log_async(content_id="custom_content_id")
mock_update_metadata.assert_called_with(
- content_id="custom_content_id::default",
- text="Test description"
+ content_id="custom_content_id::default", text="Test description"
)
# Test case 2: Without content_id
mock_update_metadata.reset_mock()
await test_result.log_async()
mock_update_metadata.assert_called_with(
- content_id="test_description:test_1::default",
- text="Test description"
+ content_id="test_description:test_1::default", text="Test description"
)
# Test case 3: With AI generated description
@@ -240,9 +235,9 @@ async def test_metadata_update_content_id_handling(self, mock_update_metadata):
mock_update_metadata.reset_mock()
await test_result.log_async()
mock_update_metadata.assert_called_with(
- content_id="test_description:test_1::ai",
- text="Test description"
+ content_id="test_description:test_1::ai", text="Test description"
)
+
if __name__ == "__main__":
- unittest.main()
\ No newline at end of file
+ unittest.main()
diff --git a/validmind/ai/test_descriptions.py b/validmind/ai/test_descriptions.py
index 3a9a05ebe..dedcab394 100644
--- a/validmind/ai/test_descriptions.py
+++ b/validmind/ai/test_descriptions.py
@@ -14,6 +14,11 @@
from ..utils import NumpyEncoder, md_to_html, test_id_to_name
from ..vm_models.figure import Figure
from ..vm_models.result import ResultTable
+from ..vm_models.result.pii_filter import (
+ PIIDetectionMode,
+ get_pii_detection_mode,
+ scan_df,
+)
from .utils import DescriptionFuture
__executor = ThreadPoolExecutor()
@@ -92,6 +97,13 @@ def generate_description(
)
if tables:
+ if get_pii_detection_mode() in [
+ PIIDetectionMode.TEST_DESCRIPTIONS,
+ PIIDetectionMode.ALL,
+ ]:
+ for table in tables:
+ scan_df(table.data)
+
summary = "\n---\n".join(
[
json.dumps(table.serialize(), cls=NumpyEncoder, separators=(",", ":"))
@@ -125,13 +137,16 @@ def background_generate_description(
):
def wrapped():
try:
- return generate_description(
- test_id=test_id,
- test_description=test_description,
- tables=tables,
- figures=figures,
- metric=metric,
- title=title,
+ return (
+ generate_description(
+ test_id=test_id,
+ test_description=test_description,
+ tables=tables,
+ figures=figures,
+ metric=metric,
+ title=title,
+ ),
+ True,
)
except Exception as e:
if "maximum context length" in str(e):
@@ -146,7 +161,7 @@ def wrapped():
logger.warning(f"Failed to generate description for {test_id}: {e}")
logger.warning(f"Using default description for {test_id}")
- return test_description
+ return test_description, False
return DescriptionFuture(__executor.submit(wrapped))
diff --git a/validmind/ai/utils.py b/validmind/ai/utils.py
index 0e40d2ef5..8f3405baf 100644
--- a/validmind/ai/utils.py
+++ b/validmind/ai/utils.py
@@ -35,13 +35,13 @@ def __init__(self, future):
self._future = future
def get_description(self):
- if isinstance(self._future, str):
+ if isinstance(self._future, tuple):
description = self._future
else:
# This will block until the future is completed
description = self._future.result()
- return md_to_html(description, mathml=True)
+ return md_to_html(description[0], mathml=True), description[1]
def get_client_and_model():
diff --git a/validmind/api_client.py b/validmind/api_client.py
index 1eb1cd5c4..0071b8884 100644
--- a/validmind/api_client.py
+++ b/validmind/api_client.py
@@ -40,8 +40,6 @@
@atexit.register
def _close_session():
"""Closes the async client session at exit."""
- global __api_session
-
if __api_session and not __api_session.closed:
try:
loop = asyncio.get_event_loop()
diff --git a/validmind/tests/data_validation/ScoreBandDefaultRates.py b/validmind/tests/data_validation/ScoreBandDefaultRates.py
index 5bab7303e..796728ebb 100644
--- a/validmind/tests/data_validation/ScoreBandDefaultRates.py
+++ b/validmind/tests/data_validation/ScoreBandDefaultRates.py
@@ -83,7 +83,7 @@ def ScoreBandDefaultRates(
# Create band labels
band_labels = [
- f"{score_bands[i]}-{score_bands[i+1]}" for i in range(len(score_bands) - 1)
+ f"{score_bands[i]}-{score_bands[i + 1]}" for i in range(len(score_bands) - 1)
]
band_labels.insert(0, f"<{score_bands[0]}")
band_labels.append(f">{score_bands[-1]}")
diff --git a/validmind/tests/model_validation/embeddings/PCAComponentsPairwisePlots.py b/validmind/tests/model_validation/embeddings/PCAComponentsPairwisePlots.py
index a3cb21813..9138e5403 100644
--- a/validmind/tests/model_validation/embeddings/PCAComponentsPairwisePlots.py
+++ b/validmind/tests/model_validation/embeddings/PCAComponentsPairwisePlots.py
@@ -75,7 +75,7 @@ def PCAComponentsPairwisePlots(
# Prepare DataFrame for Plotly
pca_df = pd.DataFrame(
- pca_results, columns=[f"PC{i+1}" for i in range(n_components)]
+ pca_results, columns=[f"PC{i + 1}" for i in range(n_components)]
)
# List to store each plot
diff --git a/validmind/tests/model_validation/embeddings/TSNEComponentsPairwisePlots.py b/validmind/tests/model_validation/embeddings/TSNEComponentsPairwisePlots.py
index 2e81c2637..3f830a9ad 100644
--- a/validmind/tests/model_validation/embeddings/TSNEComponentsPairwisePlots.py
+++ b/validmind/tests/model_validation/embeddings/TSNEComponentsPairwisePlots.py
@@ -79,7 +79,7 @@ def TSNEComponentsPairwisePlots(
# Prepare DataFrame for Plotly
tsne_df = pd.DataFrame(
- tsne_results, columns=[f"Component {i+1}" for i in range(n_components)]
+ tsne_results, columns=[f"Component {i + 1}" for i in range(n_components)]
)
# List to store each plot
diff --git a/validmind/tests/model_validation/sklearn/RobustnessDiagnosis.py b/validmind/tests/model_validation/sklearn/RobustnessDiagnosis.py
index b688d68a1..f758ac142 100644
--- a/validmind/tests/model_validation/sklearn/RobustnessDiagnosis.py
+++ b/validmind/tests/model_validation/sklearn/RobustnessDiagnosis.py
@@ -129,7 +129,7 @@ def _plot_robustness(
datasets = results["Dataset"].unique()
pallete = [
- f"#{int(r*255):02x}{int(g*255):02x}{int(b*255):02x}"
+ f"#{int(r * 255):02x}{int(g * 255):02x}{int(b * 255):02x}"
for r, g, b in sns.color_palette("husl", len(datasets))
]
diff --git a/validmind/tests/model_validation/statsmodels/CumulativePredictionProbabilities.py b/validmind/tests/model_validation/statsmodels/CumulativePredictionProbabilities.py
index bd5f1e4f4..a87481d98 100644
--- a/validmind/tests/model_validation/statsmodels/CumulativePredictionProbabilities.py
+++ b/validmind/tests/model_validation/statsmodels/CumulativePredictionProbabilities.py
@@ -88,7 +88,7 @@ def _plot_cumulative_prob(df, target_col, title):
classes = sorted(df[target_col].unique())
colors = [colormap(i / len(classes))[:3] for i in range(len(classes))] # RGB
color_dict = {
- cls: f"rgb({int(rgb[0]*255)}, {int(rgb[1]*255)}, {int(rgb[2]*255)})"
+ cls: f"rgb({int(rgb[0] * 255)}, {int(rgb[1] * 255)}, {int(rgb[2] * 255)})"
for cls, rgb in zip(classes, colors)
}
diff --git a/validmind/tests/model_validation/statsmodels/PredictionProbabilitiesHistogram.py b/validmind/tests/model_validation/statsmodels/PredictionProbabilitiesHistogram.py
index 820f7dfa5..f7fbb952c 100644
--- a/validmind/tests/model_validation/statsmodels/PredictionProbabilitiesHistogram.py
+++ b/validmind/tests/model_validation/statsmodels/PredictionProbabilitiesHistogram.py
@@ -83,7 +83,7 @@ def _plot_prob_histogram(df, target_col, title):
classes = sorted(df[target_col].unique())
colors = [colormap(i / len(classes))[:3] for i in range(len(classes))] # RGB
color_dict = {
- cls: f"rgb({int(rgb[0]*255)}, {int(rgb[1]*255)}, {int(rgb[2]*255)})"
+ cls: f"rgb({int(rgb[0] * 255)}, {int(rgb[1] * 255)}, {int(rgb[2] * 255)})"
for cls, rgb in zip(classes, colors)
}
diff --git a/validmind/tests/model_validation/statsmodels/ScorecardHistogram.py b/validmind/tests/model_validation/statsmodels/ScorecardHistogram.py
index 4e08b321a..0352a8028 100644
--- a/validmind/tests/model_validation/statsmodels/ScorecardHistogram.py
+++ b/validmind/tests/model_validation/statsmodels/ScorecardHistogram.py
@@ -85,7 +85,7 @@ def _plot_score_histogram(df, score_col, target_col, title):
classes = sorted(df[target_col].unique())
colors = [colormap(i / len(classes))[:3] for i in range(len(classes))] # RGB
color_dict = {
- cls: f"rgb({int(rgb[0]*255)}, {int(rgb[1]*255)}, {int(rgb[2]*255)})"
+ cls: f"rgb({int(rgb[0] * 255)}, {int(rgb[1] * 255)}, {int(rgb[2] * 255)})"
for cls, rgb in zip(classes, colors)
}
diff --git a/validmind/tests/ongoing_monitoring/CalibrationCurveDrift.py b/validmind/tests/ongoing_monitoring/CalibrationCurveDrift.py
index 7e2482c04..2acc551f9 100644
--- a/validmind/tests/ongoing_monitoring/CalibrationCurveDrift.py
+++ b/validmind/tests/ongoing_monitoring/CalibrationCurveDrift.py
@@ -96,7 +96,7 @@ def CalibrationCurveDrift(
# Create bin labels
bin_edges = np.linspace(0, 1, n_bins + 1)
- bin_labels = [f"{bin_edges[i]:.1f}-{bin_edges[i+1]:.1f}" for i in range(n_bins)]
+ bin_labels = [f"{bin_edges[i]:.1f}-{bin_edges[i + 1]:.1f}" for i in range(n_bins)]
# Create predicted probabilities table
pred_metrics = []
diff --git a/validmind/tests/ongoing_monitoring/PredictionProbabilitiesHistogramDrift.py b/validmind/tests/ongoing_monitoring/PredictionProbabilitiesHistogramDrift.py
index 78ab49c8b..3a4a34252 100644
--- a/validmind/tests/ongoing_monitoring/PredictionProbabilitiesHistogramDrift.py
+++ b/validmind/tests/ongoing_monitoring/PredictionProbabilitiesHistogramDrift.py
@@ -204,7 +204,7 @@ def PredictionProbabilitiesHistogramDrift(
# Add separate legend for each subplot
fig.update_layout(
**{
- f'legend{i+1 if i > 0 else ""}': dict(
+ f'legend{i + 1 if i > 0 else ""}': dict(
yanchor="middle",
y=1 - (i / len(classes)) - (0.5 / len(classes)),
xanchor="left",
diff --git a/validmind/tests/ongoing_monitoring/ScoreBandsDrift.py b/validmind/tests/ongoing_monitoring/ScoreBandsDrift.py
index 23874934f..9678d8f9d 100644
--- a/validmind/tests/ongoing_monitoring/ScoreBandsDrift.py
+++ b/validmind/tests/ongoing_monitoring/ScoreBandsDrift.py
@@ -84,7 +84,7 @@ def ScoreBandsDrift(
# Create band labels
band_labels = [
- f"{score_bands[i]}-{score_bands[i+1]}" for i in range(len(score_bands) - 1)
+ f"{score_bands[i]}-{score_bands[i + 1]}" for i in range(len(score_bands) - 1)
]
band_labels.insert(0, f"<{score_bands[0]}")
band_labels.append(f">{score_bands[-1]}")
diff --git a/validmind/tests/ongoing_monitoring/ScorecardHistogramDrift.py b/validmind/tests/ongoing_monitoring/ScorecardHistogramDrift.py
index 09d18f998..9dd0979c9 100644
--- a/validmind/tests/ongoing_monitoring/ScorecardHistogramDrift.py
+++ b/validmind/tests/ongoing_monitoring/ScorecardHistogramDrift.py
@@ -209,7 +209,7 @@ def ScorecardHistogramDrift(
# Add separate legend for each subplot
fig.update_layout(
**{
- f'legend{i+1 if i > 0 else ""}': dict(
+ f'legend{i + 1 if i > 0 else ""}': dict(
yanchor="middle",
y=1 - (i / len(classes)) - (0.5 / len(classes)),
xanchor="left",
diff --git a/validmind/tests/plots/BoxPlot.py b/validmind/tests/plots/BoxPlot.py
index 7c2861ef4..9074237d8 100644
--- a/validmind/tests/plots/BoxPlot.py
+++ b/validmind/tests/plots/BoxPlot.py
@@ -149,8 +149,8 @@ def _create_multiple_boxplots(
text=f"No data available
for {column}",
x=0.5,
y=0.5,
- xref=f"x{idx+1} domain" if idx > 0 else "x domain",
- yref=f"y{idx+1} domain" if idx > 0 else "y domain",
+ xref=f"x{idx + 1} domain" if idx > 0 else "x domain",
+ yref=f"y{idx + 1} domain" if idx > 0 else "y domain",
showarrow=False,
row=row,
col=col,
diff --git a/validmind/tests/plots/HistogramPlot.py b/validmind/tests/plots/HistogramPlot.py
index b5fbbaf35..bbec6a1aa 100644
--- a/validmind/tests/plots/HistogramPlot.py
+++ b/validmind/tests/plots/HistogramPlot.py
@@ -95,8 +95,8 @@ def _add_stats_annotation(fig, data, idx, row, col):
text=stats_text,
x=0.02,
y=0.98,
- xref=f"x{idx+1} domain" if idx > 0 else "x domain",
- yref=f"y{idx+1} domain" if idx > 0 else "y domain",
+ xref=f"x{idx + 1} domain" if idx > 0 else "x domain",
+ yref=f"y{idx + 1} domain" if idx > 0 else "y domain",
showarrow=False,
align="left",
bgcolor="rgba(255,255,255,0.8)",
@@ -195,8 +195,8 @@ def HistogramPlot(
text=f"No data available
for {column}",
x=0.5,
y=0.5,
- xref=f"x{idx+1}" if idx > 0 else "x",
- yref=f"y{idx+1}" if idx > 0 else "y",
+ xref=f"x{idx + 1}" if idx > 0 else "x",
+ yref=f"y{idx + 1}" if idx > 0 else "y",
showarrow=False,
row=row,
col=col,
diff --git a/validmind/tests/stats/DescriptiveStats.py b/validmind/tests/stats/DescriptiveStats.py
index a36e61536..983080df2 100644
--- a/validmind/tests/stats/DescriptiveStats.py
+++ b/validmind/tests/stats/DescriptiveStats.py
@@ -96,8 +96,8 @@ def _compute_advanced_stats(column: str, data, confidence_level: float):
"Skewness": skewness,
"Kurtosis": kurtosis_val,
"CV %": cv,
- f"CI Lower ({confidence_level*100:.0f}%)": ci_lower,
- f"CI Upper ({confidence_level*100:.0f}%)": ci_upper,
+ f"CI Lower ({confidence_level * 100:.0f}%)": ci_lower,
+ f"CI Upper ({confidence_level * 100:.0f}%)": ci_upper,
"Normality Test": normality_test,
"Normality Stat": normality_stat,
"Normality p-value": normality_p,
diff --git a/validmind/vm_models/result/pii_filter.py b/validmind/vm_models/result/pii_filter.py
new file mode 100644
index 000000000..23807a5e1
--- /dev/null
+++ b/validmind/vm_models/result/pii_filter.py
@@ -0,0 +1,202 @@
+# Copyright © 2023-2024 ValidMind Inc. All rights reserved.
+# See the LICENSE file in the root of this repository for details.
+# SPDX-License-Identifier: AGPL-3.0 AND ValidMind Commercial
+
+"""
+PII filtering utilities using Microsoft Presidio for detecting and masking
+personally identifiable information in test result data.
+"""
+
+import os
+from enum import Enum
+from typing import Dict
+
+import pandas as pd
+
+from ...logging import get_logger
+
+logger = get_logger(__name__)
+
+
+class PIIDetectionMode(Enum):
+ """Enum for PII detection modes."""
+
+ DISABLED = "disabled"
+ TEST_RESULTS = "test_results"
+ TEST_DESCRIPTIONS = "test_descriptions"
+ ALL = "all"
+
+
+# Default entities to detect common PII types
+DEFAULT_ENTITIES = [
+ "PERSON",
+ "EMAIL_ADDRESS",
+ "PHONE_NUMBER",
+ "CREDIT_CARD",
+ "US_SSN",
+ "US_DRIVER_LICENSE",
+ "IP_ADDRESS",
+ "LOCATION",
+ "DATE_TIME",
+ "US_PASSPORT",
+ "US_BANK_NUMBER",
+ "IBAN_CODE",
+]
+
+# Default confidence threshold
+DEFAULT_THRESHOLD = 0.5
+
+# Default sample size for DataFrame PII scanning
+SAMPLE_SIZE = 100
+
+
+def get_pii_detection_mode() -> PIIDetectionMode:
+ """
+ Get the current PII detection mode.
+
+ Returns:
+ PIIDetectionMode.DISABLED if:
+ - Environment variable is not set
+ - Environment variable is set to "disabled"
+ - Presidio packages are not installed
+ - Invalid mode value
+
+ Otherwise returns the specified mode (test_results, test_descriptions, or all)
+ """
+ mode_str = os.getenv("VALIDMIND_PII_DETECTION", "disabled").lower()
+
+ try:
+ mode = PIIDetectionMode(mode_str)
+ except ValueError:
+ logger.warning(
+ f"Invalid PII detection mode '{mode_str}'. "
+ f"Valid options: {', '.join([mode.value for mode in PIIDetectionMode])}. "
+ f"Defaulting to 'disabled'."
+ )
+ mode = PIIDetectionMode.DISABLED
+
+ # If mode is not disabled, check if Presidio is actually available
+ if mode != PIIDetectionMode.DISABLED:
+ if not _is_presidio_available():
+ logger.warning(
+ f"PII detection mode '{mode.value}' requested but Presidio not available. "
+ "Falling back to 'disabled' mode. Install with: pip install validmind[pii-detection]"
+ )
+ mode = PIIDetectionMode.DISABLED
+
+ return mode
+
+
+def _is_presidio_available() -> bool:
+ """Check if any Presidio components are available."""
+ return _get_presidio_text() is not None or _get_presidio_df() is not None
+
+
+def _get_presidio_text():
+ """Get Presidio analyzer for text analysis."""
+ from presidio_analyzer import AnalyzerEngine
+
+ return AnalyzerEngine()
+
+
+def _get_presidio_df():
+ """Get Presidio Structured PandasAnalysisBuilder for DataFrame analysis."""
+ from presidio_structured import PandasAnalysisBuilder
+
+ return PandasAnalysisBuilder()
+
+
+def scan_text(text: str) -> bool:
+ """
+ Scan text for PII content. Raises ValueError if PII is found.
+
+ Args:
+ text: The text to scan for PII
+
+ Returns:
+ True if no PII is found
+
+ Raises:
+ ValueError: If PII is detected
+ """
+ # sanity check
+ mode = get_pii_detection_mode()
+ if mode == PIIDetectionMode.DISABLED:
+ return True
+
+ analyzer = _get_presidio_text()
+ results = analyzer.analyze(text=text, entities=DEFAULT_ENTITIES, language="en")
+
+ # Filter results by confidence threshold
+ pii_entities = [
+ {
+ "entity_type": result.entity_type,
+ "start": result.start,
+ "end": result.end,
+ "score": result.score,
+ "text": text[result.start : result.end],
+ }
+ for result in results
+ if result.score >= DEFAULT_THRESHOLD
+ ]
+
+ if pii_entities:
+ entity_types = set(entity["entity_type"] for entity in pii_entities)
+ raise ValueError(
+ f"PII detected in text content. Entity types found: {', '.join(entity_types)}."
+ )
+
+ return True
+
+
+def scan_df(df: pd.DataFrame) -> bool:
+ """
+ Scan a pandas DataFrame for PII content. Raises ValueError if PII is found.
+
+ Args:
+ df: The DataFrame to scan
+
+ Returns:
+ True if no PII is found
+
+ Raises:
+ ValueError: If PII is detected
+ """
+ # sanity check
+ mode = get_pii_detection_mode()
+ if mode == PIIDetectionMode.DISABLED:
+ return True
+
+ # Scan all string/object columns
+ columns = [col for col in df.columns if df[col].dtype == "object"]
+
+ if not columns:
+ return True
+
+ # Limit the number of rows to scan for performance
+ sample_df = df.head(SAMPLE_SIZE) if len(df) > SAMPLE_SIZE else df
+
+ # Use structured analysis
+ builder = _get_presidio_df()
+ tabular_analysis = builder.generate_analysis(
+ sample_df,
+ selection_strategy="mixed",
+ mixed_strategy_threshold=DEFAULT_THRESHOLD,
+ )
+
+ entity_mapping: Dict[str, str] = getattr(tabular_analysis, "entity_mapping", {})
+
+ pii_columns = [
+ column
+ for column in columns
+ if column in entity_mapping and entity_mapping[column]
+ ]
+
+ if pii_columns:
+ entity_types = [entity_mapping[col] for col in pii_columns]
+ raise ValueError(
+ f"PII detected in DataFrame columns: {', '.join(pii_columns)}. "
+ f"Entity types found: {', '.join(entity_types)}."
+ )
+
+ return True
diff --git a/validmind/vm_models/result/result.py b/validmind/vm_models/result/result.py
index 8e711ad4d..db7000902 100644
--- a/validmind/vm_models/result/result.py
+++ b/validmind/vm_models/result/result.py
@@ -31,10 +31,10 @@
)
from ..figure import Figure, create_figure
from ..input import VMInput
+from .pii_filter import PIIDetectionMode, get_pii_detection_mode, scan_df, scan_text
from .utils import (
AI_REVISION_NAME,
DEFAULT_REVISION_NAME,
- check_for_sensitive_data,
figures_to_widgets,
get_result_template,
tables_to_widgets,
@@ -222,8 +222,10 @@ def __getattribute__(self, name):
description = super().__getattribute__("description")
if isinstance(description, DescriptionFuture):
- self._was_description_generated = True
- self.description = description.get_description()
+ (
+ self.description,
+ self._was_description_generated,
+ ) = description.get_description()
return super().__getattribute__(name)
@@ -523,7 +525,7 @@ async def process_batch():
return await asyncio.gather(*tasks)
- def log(
+ def log( # noqa: C901
self,
section_id: str = None,
content_id: str = None,
@@ -554,9 +556,15 @@ def log(
self.check_result_id_exist()
- if not unsafe:
+ if not unsafe and get_pii_detection_mode() in [
+ PIIDetectionMode.TEST_RESULTS,
+ PIIDetectionMode.ALL,
+ ]:
for table in self.tables or []:
- check_for_sensitive_data(table.data, self._get_flat_inputs())
+ scan_df(table.data)
+
+ if self.description:
+ scan_text(self.description)
if section_id:
self._validate_section_id_for_block(section_id, position)
@@ -703,6 +711,22 @@ def log(
position (int): The position (index) within the section to insert the test
result.
"""
+ # Check description text for PII when available
+ if self.description:
+ try:
+ from .pii_filter import check_text_for_pii
+
+ check_text_for_pii(self.description, raise_on_detection=True)
+ except ImportError:
+ logger.debug(
+ "PII detection not available - skipping PII check for description"
+ )
+ except ValueError:
+ # Re-raise PII detection errors
+ raise
+ except Exception as e:
+ logger.warning(f"PII detection failed for description: {e}")
+
run_async(
self.log_async,
content_id=content_id,
diff --git a/validmind/vm_models/result/utils.py b/validmind/vm_models/result/utils.py
index a9563f90d..508aac46d 100644
--- a/validmind/vm_models/result/utils.py
+++ b/validmind/vm_models/result/utils.py
@@ -5,15 +5,12 @@
import os
from typing import TYPE_CHECKING, Dict, List, Union
-import pandas as pd
from ipywidgets import HTML, GridBox, Layout
from jinja2 import Template
from ... import api_client
from ...logging import get_logger
-from ..dataset import VMDataset
from ..figure import Figure
-from ..input import VMInput
if TYPE_CHECKING:
from .result import ResultTable
@@ -52,30 +49,6 @@ async def update_metadata(content_id: str, text: str, _json: Union[Dict, List] =
await api_client.alog_metadata(content_id, text, _json)
-def check_for_sensitive_data(data: pd.DataFrame, inputs: List[VMInput]):
- """Check if the data contains sensitive information from input datasets."""
- dataset_columns = {
- col: len(input_obj.df)
- for input_obj in inputs
- if isinstance(input_obj, VMDataset)
- for col in input_obj.columns
- }
-
- table_columns = {col: len(data) for col in data.columns}
-
- offending_columns = [
- col
- for col in table_columns
- if col in dataset_columns and table_columns[col] == dataset_columns[col]
- ]
-
- if offending_columns:
- raise ValueError(
- f"Raw input data found in table, pass `unsafe=True` "
- f"or remove the offending columns: {offending_columns}"
- )
-
-
def tables_to_widgets(tables: List["ResultTable"]):
"""Convert a list of tables to ipywidgets."""
widgets = [