Wrappers s2i conda image

components/alibi-detect-server/.dockerignore

@@ -0,0 +1 @@
+_seldon_core/.tox

components/alibi-detect-server/Makefile

@@ -3,7 +3,7 @@ SHELL := /bin/bash
 VERSION ?= $(shell cat ../../version.txt)
 DOCKER_REGISTRY ?= seldonio
 
-BASE_IMAGE ?= ${DOCKER_REGISTRY}/conda-ubi8
+BASE_IMAGE ?= ${DOCKER_REGISTRY}/conda-ubi9
 IMAGE ?= ${DOCKER_REGISTRY}/alibi-detect-server
 KIND_NAME ?= kind
 

components/alibi-detect-server/pyproject.toml

@@ -1,18 +1,18 @@
 [tool.poetry]
 name = "adserver"
-version = "1.18.0"
+version = "1.19.0-dev"
 description = "Model Explanation Server"
 authors = ["Seldon Technologies Ltd. <hello@seldon.io>"]
 license = "Business Source License 1.1"
 
 [tool.poetry.dependencies]
-python = ">=3.8,<3.11"
+python = ">=3.12, <3.13.0"
 alibi-detect = {version = "^0.11.4", extras = ["all"]}
 seldon-core = {path = "_seldon_core", develop = false}
 numpy = "*"
 cloudevents = "1.2.0"
-tensorflow = "^2.12.0"
-scikit-learn = "0.24.2"
+tensorflow = "2.17.1"
+scikit-learn = "1.7.2"
 
 elasticsearch = "7.9.1"
 

components/alibi-explain-server/Dockerfile

@@ -23,23 +23,22 @@ WORKDIR /microservice
 
 # Install Poetry
 ENV POETRY_HOME /microservice/.poetry
-RUN curl -sSL https://install.python-poetry.org | python3 - --version 1.1.15
+RUN /opt/conda/bin/pip install --no-cache-dir "poetry==2.1.2"
+
+# Replace vulnerable pip wheel embedded inside virtualenv(CVE-2025-8869)
+RUN find /opt/conda/lib/python3.12/site-packages/virtualenv/seed/wheels/embed/ -name "pip-*.whl" -delete && \
+    /opt/conda/bin/pip wheel pip==25.3.0 --wheel-dir /opt/conda/lib/python3.12/site-packages/virtualenv/seed/wheels/embed/
 
 ENV PATH "$POETRY_HOME/bin:$PATH"
 ENV POETRY_VIRTUALENVS_CREATE false
 
-# Install the server
+# Install the dependencies only
 COPY poetry.lock pyproject.toml ./
 ## Disable Poetry's new installer to avoid JSONDecodeError
 ## https://github.com/python-poetry/poetry/issues/4210
 ## NOTE: Removing explicitly requirements.txt file from subdeps test
 ## dependencies causing false positives in Snyk.
-RUN poetry config experimental.new-installer false && \
-    poetry install && \
-    rm ~/.cache/pip -rf && \
-    rm -f /opt/conda/lib/python3.8/site-packages/gslib/vendored/boto/requirements.txt \
-          /opt/conda/lib/python3.8/site-packages/gslib/vendored/oauth2client/docs/requirements.txt \
-          /opt/conda/lib/python3.8/site-packages/spacy/tests/package/requirements.txt
+RUN poetry install --no-root
 
 
 # Add licences
@@ -56,6 +55,9 @@ RUN python -m spacy download en_core_web_md
 COPY alibiexplainer alibiexplainer
 COPY README.md README.md
 
+# Install the project code
+RUN poetry install
+
 FROM base as final
 WORKDIR /microservice
 

components/alibi-explain-server/Makefile

@@ -4,7 +4,7 @@ SHELL := /bin/bash
 VERSION ?= $(shell cat ../../version.txt)
 DOCKER_REGISTRY ?= seldonio
 
-BASE_IMAGE ?= ${DOCKER_REGISTRY}/conda-ubi8
+BASE_IMAGE ?= ${DOCKER_REGISTRY}/conda-ubi9
 IMAGE ?= ${DOCKER_REGISTRY}/alibiexplainer
 KIND_NAME ?= kind
 
@@ -36,7 +36,7 @@ test: #type_check
 	poetry run pytest -v -W ignore
 
 type_check:
-	mypy --ignore-missing-imports alibiexplainer --exclude proto
+	mypy --ignore-missing-imports --check-untyped-defs alibiexplainer --exclude proto
 
 lint: type_check
 	isort --profile black --check . --skip proto --skip .eggs --skip .tox

components/alibi-explain-server/alibiexplainer/anchor_text.py

@@ -43,7 +43,7 @@ def __init__(
         predict_fn: Callable,
         explainer: Optional[alibi.explainers.AnchorText],
         spacy_language_model: str = "en_core_web_md",
-        **kwargs
+        **kwargs,
     ):
         self.predict_fn = predict_fn
         if EXPLAIN_RANDOM_SEED == "True" and str(EXPLAIN_RANDOM_SEED_VALUE).isdigit():

components/alibi-explain-server/alibiexplainer/explainer_wrapper.py

@@ -18,12 +18,14 @@
 # and since modified
 #
 
-from typing import Dict, List, Optional
+from typing import Any, List, Optional
+
+from alibi.api.interfaces import Explanation
 
 
 class ExplainerWrapper(object):
-    def validate(self, training_data_url: Optional[str]):
+    def validate(self, training_data_url: Optional[str]) -> Optional[Any]:
         pass
 
-    def explain(self, inputs: List) -> Dict:
+    def explain(self, inputs: List) -> Explanation:
         pass

components/alibi-explain-server/alibiexplainer/integrated_gradients.py

@@ -20,7 +20,7 @@ def __init__(
         internal_batch_size: int = 100,
         method: str = "gausslegendre",
         layer: Optional[int] = None,
-        **kwargs
+        **kwargs,
     ):
         if keras_model is None:
             raise Exception("Integrated Gradients requires a Keras model")