feat: Sagemaker integration: SagemakerGenerator

.github/workflows/amazon_sagemaker.yml

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+# This workflow comes from https://github.com/ofek/hatch-mypyc
+# https://github.com/ofek/hatch-mypyc/blob/5a198c0ba8660494d02716cfc9d79ce4adfb1442/.github/workflows/test.yml
+name: Test / amazon-sagemaker
+
+on:
+  schedule:
+    - cron: "0 0 * * *"
+  pull_request:
+    paths:
+      - "integrations/amazon_sagemaker/**"
+      - ".github/workflows/amazon_sagemaker.yml"
+
+defaults:
+  run:
+    working-directory: integrations/amazon_sagemaker
+
+concurrency:
+  group: amazon-sagemaker-${{ github.head_ref }}
+  cancel-in-progress: true
+
+env:
+  PYTHONUNBUFFERED: "1"
+  FORCE_COLOR: "1"
+
+jobs:
+  run:
+    name: Python ${{ matrix.python-version }} on ${{ startsWith(matrix.os, 'macos-') && 'macOS' || startsWith(matrix.os, 'windows-') && 'Windows' || 'Linux' }}
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest, windows-latest, macos-latest]
+        python-version: ["3.9", "3.10"]
+
+    steps:
+      - name: Support longpaths
+        if: matrix.os == 'windows-latest'
+        working-directory: .
+        run: git config --system core.longpaths true
+
+      - uses: actions/checkout@v4
+
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install Hatch
+        run: pip install --upgrade hatch
+
+      - name: Lint
+        if: matrix.python-version == '3.9' && runner.os == 'Linux'
+        run: hatch run lint:all
+
+      - name: Run tests
+        run: hatch run cov

integrations/amazon_sagemaker/LICENSE.txt

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+http://www.apache.org/licenses/
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integrations/amazon_sagemaker/README.md

@@ -0,0 +1,21 @@
+# amazon-sagemaker-haystack
+
+[![PyPI - Version](https://img.shields.io/pypi/v/amazon-sagemaker-haystack.svg)](https://pypi.org/project/amazon-sagemaker-haystack)
+[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/amazon-sagemaker-haystack.svg)](https://pypi.org/project/amazon-sagemaker-haystack)
+
+-----
+
+**Table of Contents**
+
+- [Installation](#installation)
+- [License](#license)
+
+## Installation
+
+```console
+pip install amazon-sagemaker-haystack
+```
+
+## License
+
+`amazon-sagemaker-haystack` is distributed under the terms of the [Apache-2.0](https://spdx.org/licenses/Apache-2.0.html) license.

integrations/amazon_sagemaker/pyproject.toml

@@ -0,0 +1,177 @@
+# SPDX-FileCopyrightText: 2023-present deepset GmbH <[email protected]>
+#
+# SPDX-License-Identifier: Apache-2.0
+[build-system]
+requires = ["hatchling", "hatch-vcs"]
+build-backend = "hatchling.build"
+
+[project]
+name = "amazon-sagemaker-haystack"
+dynamic = ["version"]
+description = 'An integration of Amazon Sagemaker as an SagemakerGenerator component.'
+readme = "README.md"
+requires-python = ">=3.8"
+license = "Apache-2.0"
+keywords = []
+authors = [
+  { name = "deepset GmbH", email = "[email protected]" },
+]
+classifiers = [
+  "Development Status :: 4 - Beta",
+  "Programming Language :: Python",
+  "Programming Language :: Python :: 3.8",
+  "Programming Language :: Python :: 3.9",
+  "Programming Language :: Python :: 3.10",
+  "Programming Language :: Python :: 3.11",
+  "Programming Language :: Python :: 3.12",
+  "Programming Language :: Python :: Implementation :: CPython",
+  "Programming Language :: Python :: Implementation :: PyPy",
+]
+dependencies = [
+  "haystack-ai",
+  "boto3>=1.28.57",
+]
+
+[project.urls]
+Documentation = "https://github.com/deepset-ai/haystack-core-integrations/tree/main/integrations/amazon_sagemaker_haystack#readme"
+Issues = "https://github.com/deepset-ai/haystack-core-integrations/tree/main/integrations/amazon_sagemaker_haystack/issues"
+Source = "https://github.com/deepset-ai/haystack-core-integrations/tree/main/integrations/amazon_sagemaker_haystack"
+
+[tool.hatch.build.targets.wheel]
+packages = ["src/haystack_integrations"]
+
+[tool.hatch.version]
+source = "vcs"
+tag-pattern = 'integrations\/amazon_sagemaker-v(?P<version>.*)'
+
+[tool.hatch.version.raw-options]
+root = "../.."
+git_describe_command = 'git describe --tags --match="integrations/amazon_sagemaker-v[0-9]*"'
+
+[tool.hatch.envs.default]
+dependencies = [
+  "coverage[toml]>=6.5",
+  "pytest",
+]
+[tool.hatch.envs.default.scripts]
+test = "pytest {args:tests}"
+test-cov = "coverage run -m pytest {args:tests}"
+cov-report = [
+  "- coverage combine",
+  "coverage report",
+]
+cov = [
+  "test-cov",
+  "cov-report",
+]
+
+[[tool.hatch.envs.all.matrix]]
+python = ["3.7", "3.8", "3.9", "3.10", "3.11"]
+
+[tool.hatch.envs.lint]
+detached = true
+dependencies = [
+  "black>=23.1.0",
+  "mypy>=1.0.0",
+  "ruff>=0.0.243",
+]
+[tool.hatch.envs.lint.scripts]
+typing = "mypy --install-types --non-interactive --explicit-package-bases {args:src/ tests}"
+style = [
+  "ruff {args:.}",
+  "black --check --diff {args:.}",
+]
+fmt = [
+  "black {args:.}",
+  "ruff --fix {args:.}",
+  "style",
+]
+all = [
+  "style",
+  "typing",
+]
+
+[tool.black]
+target-version = ["py37"]
+line-length = 120
+skip-string-normalization = true
+
+[tool.ruff]
+target-version = "py37"
+line-length = 120
+select = [
+  "A",
+  "ARG",
+  "B",
+  "C",
+  "DTZ",
+  "E",
+  "EM",
+  "F",
+  "FBT",
+  "I",
+  "ICN",
+  "ISC",
+  "N",
+  "PLC",
+  "PLE",
+  "PLR",
+  "PLW",
+  "Q",
+  "RUF",
+  "S",
+  "T",
+  "TID",
+  "UP",
+  "W",
+  "YTT",
+]
+ignore = [
+  # Import sorting doesn't seem to work
+  "I001",
+  # Allow non-abstract empty methods in abstract base classes
+  "B027",
+  # Allow boolean positional values in function calls, like `dict.get(... True)`
+  "FBT003",
+  # Ignore checks for possible passwords
+  "S105", "S106", "S107",
+  # Ignore complexity
+  "C901", "PLR0911", "PLR0912", "PLR0913", "PLR0915",
+]
+unfixable = [
+  # Don't touch unused imports
+  "F401",
+]
+
+[tool.ruff.isort]
+known-first-party = ["haystack_integrations"]
+
+[tool.ruff.flake8-tidy-imports]
+ban-relative-imports = "parents"
+
+[tool.ruff.per-file-ignores]
+# Tests can use magic values, assertions, and relative imports
+"tests/**/*" = ["PLR2004", "S101", "TID252"]
+
+[tool.coverage.run]
+branch = true
+parallel = true
+
+[tool.coverage.paths]
+amazon_sagemaker_haystack = ["src"]
+tests = ["tests"]
+
+[tool.coverage.report]
+exclude_lines = [
+  "no cov",
+  "if __name__ == .__main__.:",
+  "if TYPE_CHECKING:",
+]
+[[tool.mypy.overrides]]
+module = [
+  "haystack.*",
+  "haystack_integrations.*",
+  "pytest.*",
+  "numpy.*",
+]
+ignore_missing_imports = true

integrations/amazon_sagemaker/src/haystack_integrations/components/generators/amazon_sagemaker/__init__.py

@@ -0,0 +1,6 @@
+# SPDX-FileCopyrightText: 2023-present deepset GmbH <[email protected]>
+#
+# SPDX-License-Identifier: Apache-2.0
+from haystack_integrations.components.generators.amazon_sagemaker.sagemaker import SagemakerGenerator
+
+__all__ = ["SagemakerGenerator"]

integrations/amazon_sagemaker/src/haystack_integrations/components/generators/amazon_sagemaker/errors.py

@@ -0,0 +1,46 @@
+from typing import Optional
+
+
+class SagemakerError(Exception):
+    """
+    Error generated by the Amazon Sagemaker integration.
+    """
+
+    def __init__(
+        self,
+        message: Optional[str] = None,
+    ):
+        super().__init__()
+        if message:
+            self.message = message
+
+    def __getattr__(self, attr):
+        # If self.__cause__ is None, it will raise the expected AttributeError
+        getattr(self.__cause__, attr)
+
+    def __str__(self):
+        return self.message
+
+    def __repr__(self):
+        return str(self)
+
+
+class AWSConfigurationError(SagemakerError):
+    """Exception raised when AWS is not configured correctly"""
+
+    def __init__(self, message: Optional[str] = None):
+        super().__init__(message=message)
+
+
+class SagemakerNotReadyError(SagemakerError):
+    """Exception for issues that occur during Sagemaker inference"""
+
+    def __init__(self, message: Optional[str] = None):
+        super().__init__(message=message)
+
+
+class SagemakerInferenceError(SagemakerError):
+    """Exception for issues that occur during Sagemaker inference"""
+
+    def __init__(self, message: Optional[str] = None):
+        super().__init__(message=message)