pax_global_header00006660000000000000000000000064152427113200014507gustar00rootroot0000000000000052 comment=9e2b7d073cba9fd3be2afe9531060c0f61b4671f cachelib-0.17.0/000077500000000000000000000000001524271132000133265ustar00rootroot00000000000000cachelib-0.17.0/.editorconfig000066400000000000000000000003511524271132000160020ustar00rootroot00000000000000root = true [*] indent_style = space indent_size = 4 insert_final_newline = true trim_trailing_whitespace = true end_of_line = lf charset = utf-8 max_line_length = 88 [*.{css,html,js,json,jsx,scss,ts,tsx,yaml,yml}] indent_size = 2 cachelib-0.17.0/.github/000077500000000000000000000000001524271132000146665ustar00rootroot00000000000000cachelib-0.17.0/.github/ISSUE_TEMPLATE/000077500000000000000000000000001524271132000170515ustar00rootroot00000000000000cachelib-0.17.0/.github/ISSUE_TEMPLATE/bug-report.md000066400000000000000000000011351524271132000214610ustar00rootroot00000000000000--- name: Bug report about: Report a bug in CacheLib (not other projects which depend on CacheLib) --- Environment: - Python version: - CacheLib version: cachelib-0.17.0/.github/ISSUE_TEMPLATE/config.yml000066400000000000000000000002601524271132000210370ustar00rootroot00000000000000blank_issues_enabled: false contact_links: - name: Questions on Discord url: https://discord.gg/pallets about: Ask questions about your own code on our Discord chat. cachelib-0.17.0/.github/ISSUE_TEMPLATE/feature-request.md000066400000000000000000000006461524271132000225220ustar00rootroot00000000000000--- name: Feature request about: Suggest a new feature for CacheLib --- cachelib-0.17.0/.github/pull_request_template.md000066400000000000000000000012561524271132000216330ustar00rootroot00000000000000 cachelib-0.17.0/.github/workflows/000077500000000000000000000000001524271132000167235ustar00rootroot00000000000000cachelib-0.17.0/.github/workflows/lock.yaml000066400000000000000000000013451524271132000205420ustar00rootroot00000000000000name: Lock inactive closed issues # Lock closed issues that have not received any further activity for two weeks. # This does not close open issues, only humans may do that. It is easier to # respond to new issues with fresh examples rather than continuing discussions # on old issues. on: schedule: - cron: '0 0 * * *' permissions: {} concurrency: group: lock cancel-in-progress: true jobs: lock: runs-on: ubuntu-latest permissions: issues: write pull-requests: write discussions: write steps: - uses: dessant/lock-threads@89ae32b08ed1a541efecbab17912962a5e38981c # v6.0.2 with: issue-inactive-days: 14 pr-inactive-days: 14 discussion-inactive-days: 14 cachelib-0.17.0/.github/workflows/pre-commit.yaml000066400000000000000000000020631524271132000216640ustar00rootroot00000000000000name: pre-commit on: pull_request: push: branches: [main, stable] permissions: {} concurrency: group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} cancel-in-progress: true jobs: main: runs-on: ubuntu-latest steps: - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1 with: persist-credentials: false - uses: astral-sh/setup-uv@20cfd1bf945f4377ade1205e4dbc17946fc9a30d # v10.0.1 with: enable-cache: true prune-cache: false - uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0 id: setup-python with: python-version-file: pyproject.toml - uses: actions/cache@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0 with: path: ~/.cache/pre-commit key: pre-commit|${{ hashFiles('pyproject.toml', '.pre-commit-config.yaml') }} - run: uv run --locked --no-default-groups --group pre-commit pre-commit run --show-diff-on-failure --color=always --all-files cachelib-0.17.0/.github/workflows/publish.yaml000066400000000000000000000037751524271132000212710ustar00rootroot00000000000000name: Publish on: push: tags: ['*'] permissions: {} concurrency: group: publish-${{ github.event.push.ref }} cancel-in-progress: true jobs: build: runs-on: ubuntu-latest outputs: artifact-id: ${{ steps.upload-artifact.outputs.artifact-id }} steps: - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1 with: persist-credentials: false - uses: astral-sh/setup-uv@20cfd1bf945f4377ade1205e4dbc17946fc9a30d # v10.0.1 with: enable-cache: false prune-cache: false - uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0 with: python-version-file: pyproject.toml - run: echo "SOURCE_DATE_EPOCH=$(git log -1 --pretty=%ct)" >> $GITHUB_ENV - run: uv build - uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 id: upload-artifact with: name: dist path: dist/ if-no-files-found: error create-release: needs: [build] runs-on: ubuntu-latest permissions: contents: write steps: - uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1 with: artifact-ids: ${{ needs.build.outputs.artifact-id }} path: dist/ - name: create release run: gh release create --draft --repo ${GITHUB_REPOSITORY} ${GITHUB_REF_NAME} dist/* env: GH_TOKEN: ${{ github.token }} publish-pypi: needs: [build] environment: name: publish url: https://pypi.org/project/cachelib/${{ github.ref_name }} runs-on: ubuntu-latest permissions: id-token: write steps: - uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1 with: artifact-ids: ${{ needs.build.outputs.artifact-id }} path: dist/ - uses: pypa/gh-action-pypi-publish@dc37677b2e1c63e2034f94d8a5b11f265b73ba33 # v1.14.2 with: packages-dir: "dist/" cachelib-0.17.0/.github/workflows/tests.yaml000066400000000000000000000071631524271132000207600ustar00rootroot00000000000000name: Tests on: pull_request: paths-ignore: ['docs/**', 'README.md', 'CHANGES.rst'] push: branches: [main, stable] paths-ignore: ['docs/**', 'README.md', 'CHANGES.rst'] permissions: {} concurrency: group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} cancel-in-progress: true jobs: tests: name: ${{ matrix.name || matrix.python }} runs-on: ${{ matrix.os || 'ubuntu-latest' }} strategy: fail-fast: false matrix: include: - {python: '3.15'} - {python: '3.14'} - {python: '3.13'} - {python: '3.12'} - {python: '3.11'} services: dynamodb: image: amazon/dynamodb-local:3.3.0 ports: - 8000:8000 # health checks options: >- --health-cmd "bash -c 'echo > /dev/tcp/localhost/8000'" --health-interval 10s --health-timeout 5s --health-retries 5 memcached: image: memcached:1.6.41 ports: - 11212:11211 # health checks options: >- --health-cmd "timeout 5 bash -c 'echo > /dev/tcp/127.0.0.1/11211'" --health-interval 10s --health-timeout 5s --health-retries 5 mongodb: image: mongo:8.3.1 ports: - 27017:27017 # health checks options: >- --health-cmd "mongosh --eval 'db.runCommand({ ping: 1 })'" --health-interval 10s --health-timeout 5s --health-retries 5 redis: image: redis:8.6.3 ports: - 6360:6379 # health checks options: >- --health-cmd "redis-cli ping" --health-interval 10s --health-timeout 5s --health-retries 5 valkey: image: valkey/valkey:9.0.4 ports: - 6370:6379 # health checks options: >- --health-cmd "valkey-cli ping" --health-interval 10s --health-timeout 5s --health-retries 5 steps: - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1 with: persist-credentials: false - uses: astral-sh/setup-uv@20cfd1bf945f4377ade1205e4dbc17946fc9a30d # v10.0.1 with: enable-cache: true prune-cache: false - uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0 with: python-version: ${{ matrix.python }} allow-prereleases: true - name: install external dependencies run: | sudo apt-get update sudo apt-get install libmemcached-dev - run: uv run --locked --no-default-groups --group dev tox run -e ${{ matrix.tox || format('py{0}', matrix.python) }} typing: runs-on: ubuntu-latest steps: - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1 with: persist-credentials: false - uses: astral-sh/setup-uv@20cfd1bf945f4377ade1205e4dbc17946fc9a30d # v10.0.1 with: enable-cache: true prune-cache: false - uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0 with: python-version-file: pyproject.toml - name: install external dependencies run: | sudo apt-get update sudo apt-get install libmemcached-dev - name: cache mypy uses: actions/cache@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0 with: path: ./.mypy_cache key: mypy|${{ hashFiles('pyproject.toml') }} - run: uv run --locked --no-default-groups --group dev tox run -e typing cachelib-0.17.0/.github/workflows/zizmor.yaml000066400000000000000000000012161524271132000211410ustar00rootroot00000000000000name: GitHub Actions security analysis with zizmor on: pull_request: paths: ["**/*.yaml?"] push: branches: [main, stable] paths: ["**/*.yaml?"] permissions: {} concurrency: group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} cancel-in-progress: true jobs: zizmor: runs-on: ubuntu-latest steps: - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1 with: persist-credentials: false - uses: zizmorcore/zizmor-action@3dc1ecc9bcb9e94e9b2c709687979e1298497054 # v0.6.2 with: advanced-security: false annotations: true cachelib-0.17.0/.gitignore000066400000000000000000000001121524271132000153100ustar00rootroot00000000000000.idea/ .vscode/ __pycache__/ dist/ .coverage* htmlcov/ .tox/ docs/_build/ cachelib-0.17.0/.pre-commit-config.yaml000066400000000000000000000014731524271132000176140ustar00rootroot00000000000000repos: - repo: https://github.com/astral-sh/ruff-pre-commit rev: 65dbdb59d2f2d9c3bdc343c566821ad3319ddaa3 # frozen: v0.16.3 hooks: - id: ruff-check - id: ruff-format - repo: https://github.com/astral-sh/uv-pre-commit rev: b84c4a0a90bd58c7d82ae8f0d4d5e77b1ddd3ce6 # frozen: 0.12.5 hooks: - id: uv-lock - repo: https://github.com/codespell-project/codespell rev: 57b21406f092110c18776e39b0bda50d37c945c8 # frozen: v2.4.3 hooks: - id: codespell args: ['--write-changes'] - repo: https://github.com/pre-commit/pre-commit-hooks rev: 3e8a8703264a2f4a69428a0aa4dcb512790b2c8c # frozen: v6.0.0 hooks: - id: check-merge-conflict - id: debug-statements - id: fix-byte-order-marker - id: trailing-whitespace - id: end-of-file-fixer cachelib-0.17.0/.readthedocs.yaml000066400000000000000000000004171524271132000165570ustar00rootroot00000000000000version: 2 build: os: ubuntu-24.04 tools: python: '3.13' commands: - asdf plugin add uv - asdf install uv latest - asdf global uv latest - uv run --locked --no-default-groups --group docs sphinx-build -W -b dirhtml docs $READTHEDOCS_OUTPUT/html cachelib-0.17.0/CHANGES.rst000066400000000000000000000167661524271132000151500ustar00rootroot00000000000000Version 0.17.0 -------------- Released 2026-08-24 - Timeout now also accepts a ``datetime.timedelta`` in addition to int. :pr:`510` - Float timeouts are deprecated and now rounded up to whole seconds, so backends with integer-second APIs (e.g. memcached) no longer fail with a confusing ``TypeError``. Passing a float will raise a ``TypeError`` in a future release; timeouts of any other unsupported type raise ``TypeError`` immediately. :pr:`510` - Add ``memcache_client_lib`` parameter to ``MemcachedCache`` to select which memcache client library to use (``pylibmc``, ``google``, ``memcache``, or ``libmc``). When not set, the library is auto-detected as before. :pr:`511` Version 0.16.1 --------------- Released 2026-08-21 - Add ``check_connection`` parameter to allow users to control whether the constructor will attempt to ping the client on init. :pr:`508` Version 0.16.0 --------------- Released 2026-08-20 - Change ``FileSystemCache`` default hash method to ``hashlib.sha256`` because ``hashlib.md5`` is not available in FIPs builds. :issue:`500` - Ping backends servers on init to ensure they are reachable. :pr:`503` - Fix ``Memcached`` with ``python-memcached`` client returned None instead of True when ``flush_all`` was successful. :pr:`504` - Add ``ignore_delete_many_errors`` parameter to all cache backends to allow users to control whether ``delete_many()`` raises a ``RuntimeError`` if any key fails to delete. :pr:`505` Version 0.15.4 --------------- Released 2026-08-08 - Fix dumps in ``RedisCache`` to not use pickle for integers, so they remain compatible with the native ``INCRBY``/ ``DECRBY`` operations used by :meth:`inc`/:meth:`dec`. :pr:`497` Version 0.15.3 --------------- Released 2026-08-08 - Fix ``MemcachedCache`` ``inc`` and ``dec`` methods double normalizing keys. :pr:`495` Version 0.15.2 --------------- Released 2026-08-07 - Fix ``libmc`` in ``MemcachedCache`` no reserve nor blocking. :pr:`493` Version 0.15.1 --------------- Released 2026-08-07 - Add ``JSONSerializer`` serializer and use the same base class for DynamoDB serialization. :pr:`490` - Fix ``MemcachedCache`` ``libmc`` client not being created correctly :pr:`491` Version 0.15.0 -------------- Released 2026-07-31 - Make ``SimpleCache`` thread-safe using a ``threading.RLock``. :issue:`446` - Make ``pylibmc`` and ``libmc`` clients thread-safe by using ``ClientPool``. :pr:`287` - Drop support for Python 3.8, 3.9 and 3.10. :issue:`477` - Add support for optional dependencies in ``pyproject.toml`` to allow users to install the dependencies for specific cache backends as needed. :pr:`459` Version 0.14.0 -------------- Released 2026-05-09 - Improve typing and refresh project to use ``pyproject`` and pallets workflows :pr:`420` - Replace deprecated ``datetime.utcnow()`` with ``datetime.now()`` :pr:`421` - Fix ``FileSystemCache`` permission errors on Network Attached Storage (NAS) when trying to perform operations on files that are open in other processes :pr:`424` - Fix ``delete_many()`` in ``RedisCache`` and ``MemcachedCache`` incorrectly reporting failed deletions due to comparing normalized keys against non-normalized keys :pr:`443` - Fix serializer returning an unbound variable error instead of ``None`` when a ``pickle`` error is raised during serialization :pr:`448` - Fix ``add()`` in ``SimpleCache`` treating expired keys as still valid, preventing them from being overwritten until explicitly deleted :pr:`449` - Add ``valkey`` backend :pr:`441` Version 0.13.0 -------------- Released 2024-04-13 - default :func:`~hashlib.md5` may not be available in FIPS builds. We now do not access it at import time on ``FileSystemCache`` so developers have time to change the default. :func:`~hashlib.md5` will be lazy loaded when a new default is not provided Version 0.12.0 -------------- Released 2024-02-11 - ``RedisCache`` now supports callables as keys - Added ``MongoDB`` as a cache backend Version 0.11.0 -------------- Released 2024-02-10 - Drop python 3.7 support - Add python 3.11 support Version 0.10.2 -------------- Released 2023-01-31 - Fix broken release Version 0.10.1 -------------- Released 2023-01-22 - Fix logging pollution due to ``DynamoDB`` logging handler Version 0.10.0 -------------- Released 2023-01-22 - Improve error message when ``FileSystemCache`` methods are called with non-string keys. :pr:`170` - Added ``DynamoDb`` as a cache backend :pr:`209` Version 0.9.0 ------------- Released 2022-06-26 - Add separate internal read/write clients to ``RedisCache`` to improve compatibility with flask-caching. :pr:`159` - Fix bug where cache entries would expire immediately when ``RedisCache.add`` was called without timeout. :pr:`157` - Improve ``FileSystemCache.set`` compatibility with Windows systems. :pr:`158` Version 0.8.0 ------------- Released 2022-06-13 - Remove deprecated ``RedisCache.load_object`` and ``RedisCache.dump_object``. :pr:`147` Version 0.7.0 ------------- Released 2022-05-14 - ``FileSystemCache`` now stores universal expiration timestamps using python's ``struct`` module. :pr:`126` - Drop support for Python 3.6. :pr:`134` Version 0.6.0 ------------- Released 2022-01-18 - A custom ``hash_method`` may now be provided to ``FileSystemCache`` for hashing keys. :pr:`107` - Fix ``PermissionError`` issue with ``FileSystemCache`` on Windows. :pr:`111` Version 0.5.0 ------------- Released 2021-12-31 - Cache types now have configurable serializers. :pr:`63` Version 0.4.1 ------------- Released 2021-10-04 - Fix break in ``RedisCache`` when a host object was passed in ``RedisCache.host`` instead of a string. :pr:`82` Version 0.4.0 ------------- Released 2021-10-03 - All cache types now implement ``BaseCache`` interface both in behavior and method return types. Thus, code written for one cache type should work with any other cache type. :pr:`71` - Add type information for static typing tools. :pr:`48` - ``FileNotFound`` exceptions will not be logged anymore in ``FileSystemCache`` methods in order to avoid polluting application log files. :pr:`69` Version 0.3.0 ------------- Released 2021-08-12 - Optimize ``FileSystemCache`` pruning. :pr:`52` - Fix a bug in ``FileSystemCache`` where entries would not be removed when the total was over the threshold, and the entry count would be lost. :pr:`52` - ``FileSystemCache`` logs system-related exceptions. :pr:`51` - Removal of expired entries in ``FileSystemCache`` is only triggered if the number of entries is over the ``threshold`` when calling ``set``. ``get`` ``has`` still return ``None`` and ``False`` respectively for expired entries, but will not remove the files. All removals happen at pruning time or explicitly with ``clear`` and ``delete``. :pr:`53` Version 0.2.0 ------------- Released 2021-06-25 - Support for Python 2 has been dropped. Only Python 3.6 and above are supported. - Fix ``FileSystemCache.set`` incorrectly considering value overrides on existing keys as new cache entries. :issue:`18` - ``SimpleCache`` and ``FileSystemCache`` first remove expired entries, followed by older entries, when cleaning up. :pr:`26` - Fix problem where file count was not being updated in ``FileSystemCache.get`` and ``FileSystemCache.has`` after removals. :issue:`20` - When attempting to access non-existent entries with ``Memcached``, these will now be initialized with a given value ``delta``. :pr:`31` Version 0.1.1 ------------- Released 2020-06-20 - Fix ``FileSystemCache`` on Windows. cachelib-0.17.0/LICENSE.txt000066400000000000000000000027031524271132000151530ustar00rootroot00000000000000Copyright 2018 Pallets Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. cachelib-0.17.0/README.md000066400000000000000000000031731524271132000146110ustar00rootroot00000000000000# CacheLib A collection of cache libraries in the same API interface. Extracted from Werkzeug. Supported backends include: - [DynamoDbCache](./src/cachelib/dynamodb.py) ([DynamoDB](https://aws.amazon.com/dynamodb/)) - [FileSystemCache](./src/cachelib/file.py) (file based) - [MemcachedCache](./src/cachelib/memcached.py) ([Memcached](https://memcached.org/)) - [MongoDbCache](./src/cachelib/mongodb.py) ([MongoDB](https://www.mongodb.com/)) - [RedisCache](./src/cachelib/redis.py) ([Redis](https://redis.io/)) - [SimpleCache](./src/cachelib/simple.py) (in-memory, single-process) - [UWSGICache](./src/cachelib/uwsgi.py) ([uWSGI](https://uwsgi-docs.readthedocs.io/)) - [ValkeyCache](./src/cachelib/valkey.py) ([Valkey](https://valkey.io/)) ## Pallets Ecosystem > [!IMPORTANT]\ > This project is part of the Pallets Ecosystem. Pallets is the open source > organization that maintains Flask; Pallets-Eco enables community maintenance > of related projects. If you are interested in helping maintain this project, > please reach out on [the Pallets Discord server][discord]. [discord]: https://discord.gg/pallets ## Installation Install from [PyPI]: ```sh pip install cachelib ``` [PyPI]: https://pypi.org/project/cachelib/ ## A Minimal Example ```python from cachelib import SimpleCache # Create a cache instance cache = SimpleCache() # Set a value in the cache cache.set("my_key", "my_value") # Retrieve the value from the cache value = cache.get("my_key") print(value) # Output: my_value # Delete the value from the cache cache.delete("my_key") # Try to retrieve the deleted value value = cache.get("my_key") print(value) # Output: None ``` cachelib-0.17.0/docs/000077500000000000000000000000001524271132000142565ustar00rootroot00000000000000cachelib-0.17.0/docs/api/000077500000000000000000000000001524271132000150275ustar00rootroot00000000000000cachelib-0.17.0/docs/api/base.rst000066400000000000000000000001471524271132000164750ustar00rootroot00000000000000Base API ======== .. automodule:: cachelib.base :members: :undoc-members: :show-inheritance: cachelib-0.17.0/docs/api/dynamodb.rst000066400000000000000000000001731524271132000173570ustar00rootroot00000000000000DynamoDb Backend ================ .. automodule:: cachelib.dynamodb :members: :undoc-members: :show-inheritance: cachelib-0.17.0/docs/api/file.rst000066400000000000000000000001571524271132000165030ustar00rootroot00000000000000File Backend ============ .. automodule:: cachelib.file :members: :undoc-members: :show-inheritance: cachelib-0.17.0/docs/api/memcached.rst000066400000000000000000000001761524271132000174730ustar00rootroot00000000000000Memcached Backend ================= .. automodule:: cachelib.memcached :members: :undoc-members: :show-inheritance: cachelib-0.17.0/docs/api/mongodb.rst000066400000000000000000000001701524271132000172040ustar00rootroot00000000000000MongoDb Backend =============== .. automodule:: cachelib.mongodb :members: :undoc-members: :show-inheritance: cachelib-0.17.0/docs/api/redis.rst000066400000000000000000000001621524271132000166660ustar00rootroot00000000000000Redis Backend ============= .. automodule:: cachelib.redis :members: :undoc-members: :show-inheritance: cachelib-0.17.0/docs/api/redis_base.rst000066400000000000000000000001751524271132000176640ustar00rootroot00000000000000Base Redis Cache ================ .. automodule:: cachelib.redis_base :members: :undoc-members: :show-inheritance: cachelib-0.17.0/docs/api/serializers.rst000066400000000000000000000001641524271132000201160ustar00rootroot00000000000000Serializers =========== .. automodule:: cachelib.serializers :members: :undoc-members: :show-inheritance: cachelib-0.17.0/docs/api/simple.rst000066400000000000000000000002031524271132000170450ustar00rootroot00000000000000Simple Memory Backend ===================== .. automodule:: cachelib.simple :members: :undoc-members: :show-inheritance: cachelib-0.17.0/docs/api/uwsgi.rst000066400000000000000000000001621524271132000167160ustar00rootroot00000000000000uWSGI Backend ============= .. automodule:: cachelib.uwsgi :members: :undoc-members: :show-inheritance: cachelib-0.17.0/docs/api/valkey.rst000066400000000000000000000001651524271132000170560ustar00rootroot00000000000000Valkey Backend ============== .. automodule:: cachelib.valkey :members: :undoc-members: :show-inheritance: cachelib-0.17.0/docs/changes.rst000066400000000000000000000000551524271132000164200ustar00rootroot00000000000000Changes ======= .. include:: ../CHANGES.rst cachelib-0.17.0/docs/conf.py000066400000000000000000000064541524271132000155660ustar00rootroot00000000000000import sys from pallets_sphinx_themes import get_version from pallets_sphinx_themes import ProjectLink # Project -------------------------------------------------------------- project = "CacheLib" copyright = "2018 Pallets" author = "Pallets" release, version = get_version("cachelib") # General -------------------------------------------------------------- default_role = "code" extensions = [ "sphinx.ext.autodoc", "sphinx.ext.extlinks", "sphinx.ext.intersphinx", "sphinxcontrib.log_cabinet", "sphinx_copybutton", "sphinx_tabs.tabs", "pallets_sphinx_themes", ] autodoc_member_order = "bysource" autodoc_typehints = "description" autodoc_preserve_defaults = True extlinks = { "issue": ("https://github.com/pallets-eco/cachelib/issues/%s", "#%s"), "pr": ("https://github.com/pallets-eco/cachelib/pull/%s", "#%s"), "ghsa": ( "https://github.com/pallets-eco/cachelib/security/advisories/GHSA-%s", "GHSA-%s", ), } intersphinx_mapping = { "python": ("https://docs.python.org/3/", None), } # HTML ----------------------------------------------------------------- html_theme = "werkzeug" html_theme_options = {"index_sidebar_logo": False} html_context = { "project_links": [ ProjectLink("Donate", "https://palletsprojects.com/donate"), ProjectLink("PyPI Releases", "https://pypi.org/project/cachelib/"), ProjectLink("Source Code", "https://github.com/pallets-eco/cachelib/"), ProjectLink("Issue Tracker", "https://github.com/pallets-eco/cachelib/issues/"), ProjectLink("Chat", "https://discord.gg/pallets"), ] } html_sidebars = { "index": ["project.html", "localtoc.html", "searchbox.html", "ethicalads.html"], "**": ["localtoc.html", "relations.html", "searchbox.html", "ethicalads.html"], } singlehtml_sidebars = {"index": ["project.html", "localtoc.html", "ethicalads.html"]} html_title = f"{project} Documentation ({version})" html_show_sourcelink = False # -- Options for copy button --------------------------------------------------- # virtual env prefix: (venv), (cachelib-venv), (testenv) venv = r"\((?:(?:cachelib-)?venv|testvenv)\)" # macOS and Linux shell prompt: $ shell = r"\$" # win CMD prompt: C:\>, C:\...> cmd = r"C:\\>|C:\\\.\.\.>" # PowerShell prompt: PS C:\>, PS C:\...> ps = r"PS C:\\>|PS C:\\\.\.\.>" # zero or one whitespace char sp = r"\s?" # optional venv prefix venv_prefix = rf"(?:{venv})?" # one of the platforms' shell prompts shell_prompt = rf"(?:{shell}|{cmd}|{ps})" copybutton_prompt_text = "|".join( [ # Python REPL # r">>>\s?", r"\.\.\.\s?", # IPython and Jupyter # r"In \[\d*\]:\s?", r" {5,8}:\s?", r" {2,5}\.\.\.:\s?", # Shell prompt rf"{venv_prefix}{sp}{shell_prompt}{sp}", ] ) copybutton_prompt_is_regexp = True copybutton_remove_prompts = True copybutton_only_copy_prompt_lines = True copybutton_copy_empty_lines = False # -- Options for spelling ------------------------------------------- # Spelling check needs an additional module that is not installed by default. # Add it only if spelling check is requested so docs can be generated without it. if "spelling" in sys.argv: extensions.append("sphinxcontrib.spelling") # Spelling language. spelling_lang = "en_US" # Location of word list. spelling_word_list_filename = "spelling_wordlist" cachelib-0.17.0/docs/contributing.rst000066400000000000000000000004221524271132000175150ustar00rootroot00000000000000Contributing ============ See the Pallets `detailed contributing documentation `_ for many ways to contribute, including reporting issues, requesting features, asking or answering questions, and making PRs. .. _contrib: https://palletsprojects.com/contributing/ cachelib-0.17.0/docs/index.rst000066400000000000000000000012701524271132000161170ustar00rootroot00000000000000CacheLib ======== A collection of cache libraries in the same API interface. Extracted from `Werkzeug`_. .. _Werkzeug: https://werkzeug.palletsprojects.com/ User's Guide ------------ The user guide is the best place to start if you are new to CacheLib. It includes installation instructions and a quickstart guide. .. toctree:: :maxdepth: 2 installation quickstart API Reference ------------- If you are looking for information on a specific function, class or method, this part of the documentation is for you. .. toctree:: :glob: :maxdepth: 1 api/* Additional Notes ---------------- .. toctree:: :maxdepth: 2 contributing license changes cachelib-0.17.0/docs/installation.rst000066400000000000000000000073631524271132000175220ustar00rootroot00000000000000Installation ============ Python Version -------------- We recommend using the latest version of Python. CacheLib supports Python 3.11 and newer. Dependencies ------------ There are no required dependencies beyond Python itself. CacheLib is a standalone library that works out of the box. Optional Dependencies ~~~~~~~~~~~~~~~~~~~~~ When you install CacheLib :class:`.SimpleCache` and :class:`.FileSystemCache` will work without any additional dependencies. However, some backends require additional dependencies to be installed. CacheLib will detect and use them if they are already installed but if not, you can use pip extras to install them as needed: .. tabs:: .. group-tab:: Redis Installs `redis-py`_ required for :class:`.RedisCache`. .. code-block:: console $ pip install cachelib[redis] .. group-tab:: Memcached Installs `pylibmc`_ required for :class:`.MemcachedCache`. .. code-block:: console $ pip install cachelib[memcached] .. group-tab:: DynamoDB Installs `boto3`_ required for :class:`.DynamoDbCache`. .. code-block:: console $ pip install cachelib[dynamodb] .. group-tab:: MongoDB Installs `pymongo`_ required for :class:`.MongoDbCache`. .. code-block:: console $ pip install cachelib[mongodb] .. group-tab:: Valkey Installs `valkey-py`_ required for :class:`.ValkeyCache`. .. code-block:: console $ pip install cachelib[valkey] .. group-tab:: uWSGI Installs `uWSGI`_ required for :class:`.UWSGICache`. .. code-block:: console $ pip install cachelib[uwsgi] .. _redis-py: https://redis.readthedocs.io/en/stable/ .. _pylibmc: https://sendapatch.se/projects/pylibmc/ .. _boto3: https://boto3.amazonaws.com/v1/documentation/api/latest/index.html .. _pymongo: https://pymongo.readthedocs.io/ .. _valkey-py: https://valkey-py.readthedocs.io/en/latest/ .. _uWSGI: https://uwsgi-docs.readthedocs.io/en/latest/ Virtual Environments -------------------- Use a virtual environment to manage the dependencies for your project, both in development and in production. What problem does a virtual environment solve? The more Python projects you have, the more likely it is that you need to work with different versions of Python libraries, or even Python itself. Newer versions of libraries for one project can break compatibility in another project. Virtual environments are independent groups of Python libraries, one for each project. Packages installed for one project will not affect other projects or the operating system's packages. Python comes bundled with the :mod:`venv` module to create virtual environments. .. _install-create-env: Create an environment ~~~~~~~~~~~~~~~~~~~~~ Create a project folder and a :file:`.venv` folder within: .. tabs:: .. group-tab:: macOS/Linux .. code-block:: console $ mkdir myproject $ cd myproject $ python3 -m venv .venv .. group-tab:: Windows .. code-block:: doscon C:\> mkdir myproject C:\> cd myproject C:\> py -3 -m venv .venv .. _install-activate-env: Activate the environment ~~~~~~~~~~~~~~~~~~~~~~~~ Before you work on your project, activate the corresponding environment: .. tabs:: .. group-tab:: macOS/Linux .. code-block:: console $ . .venv/bin/activate .. group-tab:: Windows .. code-block:: doscon C:\> .venv\Scripts\activate Your shell prompt will change to show the name of the activated environment. Install CacheLib ---------------- Within the activated environment, use the following command to install CacheLib: .. code-block:: console $ pip install cachelib CacheLib is now installed. Check out the :doc:`quickstart` to get started. cachelib-0.17.0/docs/license.rst000066400000000000000000000001421524271132000164270ustar00rootroot00000000000000BSD-3-Clause License ==================== .. literalinclude:: ../LICENSE.txt :language: text cachelib-0.17.0/docs/quickstart.rst000066400000000000000000000034261524271132000172070ustar00rootroot00000000000000Quickstart ========== Eager to get started? This page gives a good introduction to CacheLib. Follow :doc:`installation` to set up a project and install CacheLib first. A Minimal Example ----------------- A minimal example of using :class:`.SimpleCache` from CacheLib looks like this: .. code-block:: python from cachelib import SimpleCache # Create a cache instance cache = SimpleCache() # Set a value in the cache cache.set('my_key', 'my_value') # Retrieve the value from the cache value = cache.get('my_key') print(value) # Output: my_value # Delete the value from the cache cache.delete('my_key') # Try to retrieve the deleted value value = cache.get('my_key') print(value) # Output: None The code above does the following: 1. Import the :class:`.SimpleCache` class from the ``cachelib`` module. 2. Create a cache instance using ``cache = SimpleCache()``. 3. Set a value in the cache with the key ``'my_key'`` and the value ``'my_value'`` using the :meth:`.SimpleCache.set` method. 4. Retrieve the value from the cache using the :meth:`.SimpleCache.get` method. 5. Print the retrieved value, which outputs ``my_value``. 6. Delete the value from the cache using the :meth:`.SimpleCache.delete` method. 7. Retrieve the deleted value again, which returns ``None`` since it has been removed from the cache. This example uses the :class:`.SimpleCache` backend. CacheLib supports multiple backends, such as :class:`.RedisCache`, :class:`.MemcachedCache`, and more. Each backend is used the same way by creating an instance of the desired cache class. To run the application, use ``python quickstart.py``. The output shows the retrieved value and ``None`` for the deleted key. .. code-block:: console $ python quickstart.py my_value None cachelib-0.17.0/docs/spelling_wordlist000066400000000000000000000002171524271132000177450ustar00rootroot00000000000000backend backends callables dynamodb memcached memcache mongodb quickstart redis serializer serializers superset unicode untrusted uWSGI valkey cachelib-0.17.0/pyproject.toml000066400000000000000000000150151524271132000162440ustar00rootroot00000000000000[project] name = "cachelib" version = "0.17.0" description = "A collection of cache libraries in the same API interface." readme = "README.md" license = "BSD-3-Clause" license-files = ["LICENSE.txt"] maintainers = [{ name = "Pallets Ecosystem", email = "contact@palletsprojects.com" }] classifiers = [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Operating System :: OS Independent", "Programming Language :: Python", "Typing :: Typed", ] requires-python = ">=3.11" [project.urls] Donate = "https://palletsprojects.com/donate" Documentation = "https://cachelib.readthedocs.io" Changes = "https://cachelib.readthedocs.io/page/changes/" Source = "https://github.com/pallets-eco/cachelib/" Chat = "https://discord.gg/pallets" [project.optional-dependencies] dynamodb = [ "boto3>=1.43.4", ] memcached = [ "pylibmc>=1.6.3", ] mongodb = [ "pymongo>=4.11", ] redis = [ "redis>=6.0.0", ] valkey = [ "valkey>=6.1.0", ] uwsgi = [ "uwsgi>=2.0.28", ] [dependency-groups] dev = [ "ruff", "tox", "tox-uv", ] docs = [ "sphinx", # Theme "pallets-sphinx-themes", # Extensions "sphinxcontrib-log-cabinet", "sphinx-tabs", "sphinx_copybutton", # Check Spelling "pyenchant", "sphinxcontrib-spelling", ] docs-auto = [ "sphinx-autobuild", ] gha-update = [ "gha-update ; python_full_version >= '3.12'", ] pre-commit = [ "pre-commit", "pre-commit-uv", ] tests = [ "boto3>=1.43.4", "pylibmc>=1.6.3", "python-memcached>=1.62", "pymongo>=4.11", "pytest", "pytest-xprocess", "redis>=6.0.0", "valkey>=6.1.0", "uwsgi>=2.0.28", ] typing = [ "mypy", "pyright", "boto3-stubs[dynamodb]", ] [build-system] requires = ["flit_core<4"] build-backend = "flit_core.buildapi" [tool.flit.sdist] include = [ "docs/", "tests/", "CHANGES.rst", "uv.lock" ] exclude = [ "docs/_build/", ] [tool.uv] default-groups = ["dev", "pre-commit", "tests", "typing"] [tool.pytest.ini_options] addopts = "--strict-markers" testpaths = ["tests"] filterwarnings = [ "error", "default::pytest.PytestUnraisableExceptionWarning", # pylibmc C ext on py3.13+ ] markers = [ "network: mark a test which requires net access (deselect with '-m \"not network\"')", ] [tool.coverage.run] branch = true source = ["cachelib", "tests"] [tool.coverage.paths] source = ["src", "*/site-packages"] [tool.coverage.report] exclude_also = [ "if t.TYPE_CHECKING", "raise NotImplementedError", ": \\.{3}", ] [tool.mypy] python_version = "3.11" files = ["src"] show_error_codes = true pretty = true strict = true [tool.pyright] pythonVersion = "3.11" include = ["src"] typeCheckingMode = "standard" [tool.ruff] src = ["src"] fix = true show-fixes = true output-format = "full" [tool.ruff.lint] select = [ "B", # flake8-bugbear "E", # pycodestyle error "F", # pyflakes "I", # isort "UP", # pyupgrade "W", # pycodestyle warning ] [tool.ruff.lint.isort] force-single-line = true order-by-type = false [tool.tox] env_list = [ "py3.15", "py3.14", "py3.13", "py3.12", "py3.11", "style", "typing", "docs", ] [tool.tox.env_run_base] description = "pytest on latest dependency versions" runner = "uv-venv-lock-runner" package = "wheel" wheel_build_env = ".pkg" constrain_package_deps = true use_frozen_constraints = true dependency_groups = ["tests"] pass_env = ["CI"] set_env = { TMPDIR = "{env_tmp_dir}" } commands = [ [ "pytest", "-v", "-rs", "--tb=short", "--capture=tee-sys", "--basetemp={env_tmp_dir}", { replace = "posargs", default = [], extend = true }, ], [ "uwsgi", "--python", "{env_bin_dir}/pytest", "--pyargv", "-v -rs --tb=short --capture=tee-sys --basetemp={env_tmp_dir} {posargs} -kUwsgi", "--cache2", "name=default,items=100", "--master", ], ["python", "{envtmpdir}/return_pytest_exit_code.py"], ] [tool.tox.env.style] description = "run all pre-commit hooks on all files" dependency_groups = ["pre-commit"] skip_install = true commands = [["pre-commit", "run", "--all-files"]] [tool.tox.env.typing] description = "run static type checkers" dependency_groups = ["tests", "typing"] commands = [ ["mypy"], ] [tool.tox.docs] docs_dir = "{tox_root}{/}docs" build_dir = "{[tool.tox.docs]docs_dir}{/}_build" sphinx_args = ["--show-traceback", "--fail-on-warning", "--keep-going", "--fresh-env"] [tool.tox.env.docs] description = "build docs" dependency_groups = ["docs"] commands = [[ "sphinx-build", { replace = "ref", of = ["tool", "tox", "docs", "sphinx_args"], extend = true }, { replace = "posargs", default = [], extend = true }, "--builder", "dirhtml", "{[tool.tox.docs]docs_dir}", "{[tool.tox.docs]build_dir}{/}dirhtml", ]] [tool.tox.env.docs-auto] description = "continuously rebuild docs and start a local server" dependency_groups = ["docs", "docs-auto"] package = "editable" commands = [[ "sphinx-autobuild", { replace = "ref", of = ["tool", "tox", "docs", "sphinx_args"], extend = true }, { replace = "posargs", default = [], extend = true }, "--builder", "dirhtml", "--watch", "src", "{[tool.tox.docs]docs_dir}", "{[tool.tox.docs]build_dir}{/}live", ]] [tool.tox.env.docs-lint] description = "check docs spelling and links" dependency_groups = ["docs"] commands = [ [ "sphinx-build", { replace = "ref", of = ["tool", "tox", "docs", "sphinx_args"], extend = true }, { replace = "posargs", default = [], extend = true }, "--builder", "spelling", "{[tool.tox.docs]docs_dir}", "{[tool.tox.docs]build_dir}{/}spell", ], [ "sphinx-build", { replace = "ref", of = ["tool", "tox", "docs", "sphinx_args"], extend = true }, { replace = "posargs", default = [], extend = true }, "--builder", "linkcheck", "{[tool.tox.docs]docs_dir}", "{[tool.tox.docs]build_dir}{/}links", ], ] [tool.tox.env.update-actions] description = "update GitHub Actions pins" labels = ["update"] dependency_groups = ["gha-update"] skip_install = true commands = [["gha-update"]] [tool.tox.env.update-pre_commit] description = "update pre-commit pins" labels = ["update"] dependency_groups = ["pre-commit"] skip_install = true commands = [["pre-commit", "autoupdate", "--freeze", "-j4"]] [tool.tox.env.update-requirements] description = "update uv lock" labels = ["update"] dependency_groups = [] no_default_groups = true skip_install = true commands = [["uv", "lock", "--exclude-newer", "1 week", {replace = "posargs", default = ["-U"], extend = true}]] cachelib-0.17.0/src/000077500000000000000000000000001524271132000141155ustar00rootroot00000000000000cachelib-0.17.0/src/cachelib/000077500000000000000000000000001524271132000156475ustar00rootroot00000000000000cachelib-0.17.0/src/cachelib/__init__.py000066400000000000000000000011721524271132000177610ustar00rootroot00000000000000from cachelib.base import BaseCache from cachelib.base import NullCache from cachelib.dynamodb import DynamoDbCache from cachelib.file import FileSystemCache from cachelib.memcached import MemcachedCache from cachelib.mongodb import MongoDbCache from cachelib.redis import RedisCache from cachelib.simple import SimpleCache from cachelib.uwsgi import UWSGICache from cachelib.valkey import ValkeyCache __all__ = [ "BaseCache", "NullCache", "SimpleCache", "FileSystemCache", "MemcachedCache", "RedisCache", "UWSGICache", "DynamoDbCache", "MongoDbCache", "ValkeyCache", ] __version__ = "0.17.0" cachelib-0.17.0/src/cachelib/base.py000066400000000000000000000214561524271132000171430ustar00rootroot00000000000000import datetime as dt import math import typing as _t import warnings class BaseCache: """Base class for the cache systems. All the cache systems implement this API or a superset of it. :param default_timeout: the default timeout that is used if no timeout is specified on :meth:`set`. Either a number of seconds or a :class:`datetime.timedelta`. A timeout of 0 indicates that the cache never expires. .. versionchanged:: 0.17.0 Accepts a :class:`datetime.timedelta`. :param ignore_delete_many_errors: If False, delete_many() will raise a RuntimeError if any key fails to delete. Keys that do not exist are considered successfully deleted and do not raise. .. versionadded:: 0.16.0 """ def __init__( self, default_timeout: int | dt.timedelta = 300, ignore_delete_many_errors: bool = True, ) -> None: self.default_timeout = self._to_seconds(default_timeout) self.ignore_delete_many_errors = ignore_delete_many_errors @staticmethod def _to_seconds(timeout: int | float | dt.timedelta) -> int: """Convert a timeout to a whole number of seconds. :param timeout: the timeout to convert. In case a :class:`datetime.timedelta` is passed it will round up subseconds to whole seconds (i.e. 200 milliseconds will be rounded to 1 second) .. versionadded:: 0.17.0 .. deprecated:: 0.17.0 Float timeouts are deprecated and rounded up to whole seconds. They will raise a ``TypeError`` in a future release. """ if isinstance(timeout, dt.timedelta): return math.ceil(timeout.total_seconds()) if isinstance(timeout, float): warnings.warn( "Float timeouts are deprecated and will raise a TypeError" " in a future release. Use a whole number of seconds or a" " datetime.timedelta instead.", DeprecationWarning, stacklevel=2, ) return math.ceil(timeout) if isinstance(timeout, int): return timeout raise TypeError( "timeout must be an int or datetime.timedelta, " f"got {type(timeout).__name__!r}" ) def _normalize_timeout(self, timeout: int | dt.timedelta | None) -> int: if timeout is None: return self.default_timeout return self._to_seconds(timeout) def get(self, key: str) -> _t.Any: """Look up key in the cache and return the value for it. :param key: the key to be looked up. :returns: The value if it exists and is readable, else ``None``. """ return None def delete(self, key: str) -> bool: """Delete ``key`` from the cache. :param key: the key to delete. :returns: Whether the key existed and has been deleted. """ return True def get_many(self, *keys: str) -> list[_t.Any]: """Returns a list of values for the given keys. For each key an item in the list is created:: foo, bar = cache.get_many("foo", "bar") Has the same error handling as :meth:`get`. :param keys: The function accepts multiple keys as positional arguments. """ return [self.get(k) for k in keys] def get_dict(self, *keys: str) -> dict[str, _t.Any]: """Like :meth:`get_many` but return a dict:: d = cache.get_dict("foo", "bar") foo = d["foo"] bar = d["bar"] :param keys: The function accepts multiple keys as positional arguments. """ return dict(zip(keys, self.get_many(*keys), strict=True)) def set( self, key: str, value: _t.Any, timeout: int | dt.timedelta | None = None ) -> bool | None: """Add a new key/value to the cache (overwrites value, if key already exists in the cache). :param key: the key to set :param value: the value for the key :param timeout: the cache timeout for the key, either a number of seconds or a :class:`datetime.timedelta` (if not specified, it uses the default timeout). A timeout of 0 indicates that the cache never expires. :returns: ``True`` if key has been updated, ``False`` for backend errors. Pickling errors, however, will raise a subclass of ``pickle.PickleError``. """ return True def add( self, key: str, value: _t.Any, timeout: int | dt.timedelta | None = None ) -> bool: """Works like :meth:`set` but does not overwrite the values of already existing keys. :param key: the key to set :param value: the value for the key :param timeout: the cache timeout for the key, either a number of seconds or a :class:`datetime.timedelta` (if not specified, it uses the default timeout). A timeout of 0 indicates that the cache never expires. :returns: Same as :meth:`set`, but also ``False`` for already existing keys. """ return True def set_many( self, mapping: dict[str, _t.Any], timeout: int | dt.timedelta | None = None ) -> list[_t.Any]: """Sets multiple keys and values from a mapping. :param mapping: a mapping with the keys/values to set. :param timeout: the cache timeout for the key, either a number of seconds or a :class:`datetime.timedelta` (if not specified, it uses the default timeout). A timeout of 0 indicates that the cache never expires. :returns: A list containing all keys successfully set """ set_keys = [] for key, value in mapping.items(): if self.set(key, value, timeout): set_keys.append(key) return set_keys def delete_many(self, *keys: str) -> list[_t.Any]: """Deletes multiple keys at once. :param keys: The function accepts multiple keys as positional arguments. :returns: A list containing all successfully deleted keys :raises RuntimeError: If ``ignore_delete_many_errors`` is False and a key still exists after the delete attempt. """ deleted_keys = [] failed_keys = [] for key in keys: # a key that is absent after the attempt counts as deleted if self.delete(key) or not self.has(key): deleted_keys.append(key) else: failed_keys.append(key) if not self.ignore_delete_many_errors and failed_keys: raise RuntimeError(f"Failed to delete keys: {failed_keys}") return deleted_keys def has(self, key: str) -> bool: """Checks if a key exists in the cache without returning it. This is a cheap operation that bypasses loading the actual data on the backend. :param key: the key to check """ raise NotImplementedError( "%s doesn't have an efficient implementation of `has`. That " "means it is impossible to check whether a key exists without " "fully loading the key's data. Consider using `self.get` " "explicitly if you don't care about performance." ) def clear(self) -> bool: """Clears the cache. Keep in mind that not all caches support completely clearing the cache. :returns: Whether the cache has been cleared. """ return True def inc(self, key: str, delta: int = 1) -> int | None: """Increments the value of a key by ``delta``. If the key does not yet exist it is initialized with ``delta``. For supporting caches this is an atomic operation. :param key: the key to increment. :param delta: the delta to add. :returns: The new value or ``None`` for backend errors. """ value = (self.get(key) or 0) + delta return value if self.set(key, value) else None def dec(self, key: str, delta: int = 1) -> int | None: """Decrements the value of a key by ``delta``. If the key does not yet exist it is initialized with ``-delta``. For supporting caches this is an atomic operation. :param key: the key to increment. :param delta: the delta to subtract. :returns: The new value or ``None`` for backend errors. """ value = (self.get(key) or 0) - delta return value if self.set(key, value) else None class NullCache(BaseCache): """A cache that doesn't cache. This can be useful for unit testing. :param default_timeout: a dummy parameter that is ignored but exists for API compatibility with other caches. """ def has(self, key: str) -> bool: return False cachelib-0.17.0/src/cachelib/dynamodb.py000066400000000000000000000237711524271132000200300ustar00rootroot00000000000000import datetime as dt import typing as _t from cachelib.base import BaseCache from cachelib.serializers import DynamoDbSerializer CREATED_AT_FIELD = "created_at" RESPONSE_FIELD = "response" if _t.TYPE_CHECKING: from mypy_boto3_dynamodb.type_defs import GetItemInputTableGetItemTypeDef from mypy_boto3_dynamodb.type_defs import PutItemInputTablePutItemTypeDef class DynamoDbCache(BaseCache): """ Implementation of :class:`~.BaseCache` that uses an AWS DynamoDb table as the backend. Your server process will require ``dynamodb:GetItem`` and ``dynamodb:PutItem`` IAM permissions on the cache table. Limitations: DynamoDB table items are limited to 400 KB in size. Since this class stores cached items in a table, the max size of a cache entry will be slightly less than 400 KB, since the cache key and expiration time fields are also part of the item. :param table_name: The name of the DynamoDB table to use :param default_timeout: Set the timeout after which cache entries expire, either a number of seconds or a :class:`datetime.timedelta` .. versionchanged:: 0.17.0 Accepts a :class:`datetime.timedelta`. :param key_field: The name of the hash_key attribute in the DynamoDb table. This must be a string attribute. :param expiration_time_field: The name of the table attribute to store the expiration time in. This will be an int attribute. The timestamp will be stored as seconds past the epoch. If you configure this as the TTL field, then DynamoDB will automatically delete expired entries. :param key_prefix: A prefix that should be added to all keys. :param ignore_delete_many_errors: If False, delete_many() will raise a RuntimeError if any key fails to delete. Keys that do not exist are considered successfully deleted and do not raise. .. versionadded:: 0.16.0 :param check_connection: If True, the constructor will verify the connection to DynamoDB and raise a RuntimeError if it fails. If False (default), connection errors are ignored at construction and surface on first use. A missing table is created either way. .. versionadded:: 0.16.1 """ serializer = DynamoDbSerializer() def __init__( self, table_name: str = "python-cache", default_timeout: int | dt.timedelta = 300, key_field: str = "cache_key", expiration_time_field: str = "expiration_time", key_prefix: str | None = None, ignore_delete_many_errors: bool = True, check_connection: bool = False, **kwargs: _t.Any, ): super().__init__( default_timeout, ignore_delete_many_errors=ignore_delete_many_errors ) try: import boto3 from boto3.dynamodb.conditions import Attr from botocore.exceptions import BotoCoreError from botocore.exceptions import ClientError except ImportError as err: raise RuntimeError("no boto3 module found") from err self._table_name = table_name self._key_field = key_field self._expiration_time_field = expiration_time_field self.key_prefix = key_prefix or "" self._dynamo = boto3.resource("dynamodb", **kwargs) self._attr = Attr self._client_error = ClientError self._boto_core_error = BotoCoreError self.check_connection = check_connection try: self._table = self._dynamo.Table(table_name) self._table.load() except BotoCoreError as err: if self.check_connection: raise RuntimeError(f"could not connect to DynamoDB: {err}") from err except ClientError as err: # only create the table if it's missing; anything else # (bad credentials, denied access) is a real error if err.response.get("Error", {}).get("Code") != "ResourceNotFoundException": if self.check_connection: raise RuntimeError(f"could not connect to DynamoDB: {err}") from err return # fail silently if check_connection is False table = self._dynamo.create_table( AttributeDefinitions=[ {"AttributeName": key_field, "AttributeType": "S"} ], TableName=table_name, KeySchema=[ {"AttributeName": key_field, "KeyType": "HASH"}, ], BillingMode="PAY_PER_REQUEST", ) table.wait_until_exists() dynamo = boto3.client("dynamodb", **kwargs) dynamo.update_time_to_live( TableName=table_name, TimeToLiveSpecification={ "Enabled": True, "AttributeName": expiration_time_field, }, ) self._table = self._dynamo.Table(table_name) self._table.load() def _utcnow(self) -> dt.datetime: """Return a tz-aware UTC datetime representing the current time""" return dt.datetime.now(dt.UTC) def _get_item(self, key: str, attributes: list[_t.Any] | None = None) -> _t.Any: """ Get an item from the cache table, optionally limiting the returned attributes. :param key: The cache key of the item to fetch :param attributes: An optional list of attributes to fetch. If not given, all attributes are fetched. The ``expiration_time`` field will always be added to the list of fetched attributes. :return: The table item for key if it exists and is not expired, else ``None``. """ kwargs: GetItemInputTableGetItemTypeDef = {"Key": {self._key_field: key}} if attributes: if self._expiration_time_field not in attributes: attributes = list(attributes) + [self._expiration_time_field] kwargs["ProjectionExpression"] = ",".join(attributes) response = self._table.get_item(**kwargs) cache_item = response.get("Item") if cache_item: now = int(self._utcnow().timestamp()) if ( _t.cast(int, cache_item.get(self._expiration_time_field, now + 100)) > now ): return cache_item return None def get(self, key: str) -> _t.Any: """ Get a cache item :param key: The cache key of the item to fetch :return: cache value if not expired, else None """ cache_item = self._get_item(self.key_prefix + key) if cache_item: response = cache_item[RESPONSE_FIELD] value = self.serializer.loads(response.value) return value return None def delete(self, key: str) -> bool: """ Deletes an item from the cache. This is a no-op if the item doesn't exist :param key: Key of the item to delete. :return: True if the key was deleted """ try: self._table.delete_item(Key={self._key_field: self.key_prefix + key}) return True except (self._client_error, self._boto_core_error): return False def _set( self, key: str, value: _t.Any, timeout: int | dt.timedelta | None = None, overwrite: bool | None = True, ) -> _t.Any: """ Store a cache item, with the option to not overwrite existing items :param key: Cache key to use :param value: a serializable object :param timeout: The timeout for the cached item, to override the default. Either a number of seconds or a :class:`datetime.timedelta`. :param overwrite: If true, overwrite any existing cache item with key. If false, the new value will only be stored if no non-expired cache item exists with key. :return: True if the new item was stored. """ normalized_timeout = self._normalize_timeout(timeout) now = self._utcnow() try: dump = self.serializer.dumps(value) item: dict[str, str | bytes | None | int] = { self._key_field: key, CREATED_AT_FIELD: now.isoformat(), RESPONSE_FIELD: dump, } if normalized_timeout > 0: expiration_time = now + dt.timedelta(seconds=normalized_timeout) item[self._expiration_time_field] = int(expiration_time.timestamp()) kwargs: PutItemInputTablePutItemTypeDef = {"Item": item} if not overwrite: # Cause the put to fail if a non-expired item with this key # already exists cond = self._attr(self._key_field).not_exists() | self._attr( self._expiration_time_field ).lte(int(now.timestamp())) kwargs["ConditionExpression"] = cond self._table.put_item(**kwargs) return True except Exception: return False def set( self, key: str, value: _t.Any, timeout: int | dt.timedelta | None = None ) -> _t.Any: return self._set(self.key_prefix + key, value, timeout=timeout, overwrite=True) def add( self, key: str, value: _t.Any, timeout: int | dt.timedelta | None = None ) -> _t.Any: return self._set(self.key_prefix + key, value, timeout=timeout, overwrite=False) def has(self, key: str) -> bool: return ( self._get_item(self.key_prefix + key, [self._expiration_time_field]) is not None ) def clear(self) -> bool: paginator = self._dynamo.meta.client.get_paginator("scan") pages = paginator.paginate( TableName=self._table_name, ProjectionExpression=self._key_field ) with self._table.batch_writer() as batch: for page in pages: for item in page["Items"]: batch.delete_item(Key=item) return True cachelib-0.17.0/src/cachelib/file.py000066400000000000000000000300231524271132000171360ustar00rootroot00000000000000import datetime as dt import errno import hashlib import logging import os import platform import stat import struct import tempfile import typing as _t from contextlib import contextmanager from pathlib import Path from time import sleep from time import time from cachelib.base import BaseCache from cachelib.serializers import FileSystemSerializer class FileSystemCache(BaseCache): """A cache that stores the items on the file system. This cache depends on being the only user of the ``cache_dir``. Make absolutely sure that nobody but this cache stores files there or otherwise the cache will randomly delete files therein. :param cache_dir: the directory where cache files are stored. :param threshold: the maximum number of items the cache stores before it starts deleting some. A threshold value of 0 indicates no threshold. :param default_timeout: the default timeout that is used if no timeout is specified on :meth:`~.BaseCache.set`. Either a number of seconds or a :class:`datetime.timedelta`. A timeout of 0 indicates that the cache never expires. .. versionchanged:: 0.17.0 Accepts a :class:`datetime.timedelta`. :param mode: the file mode wanted for the cache files, default 0600 :param hash_method: Default :func:`~hashlib.sha256`. The hash method used to generate the filename for cached results. :param ignore_delete_many_errors: If False, delete_many() will raise a RuntimeError if any key fails to delete. Keys that do not exist are considered successfully deleted and do not raise. .. versionadded:: 0.16.0 """ #: used for temporary files by the FileSystemCache _fs_transaction_suffix = ".__wz_cache" #: keep amount of files in a cache element _fs_count_file = "__wz_cache_count" serializer = FileSystemSerializer() def __init__( self, cache_dir: str, threshold: int = 500, default_timeout: int | dt.timedelta = 300, mode: int | None = None, hash_method: _t.Any = hashlib.sha256, ignore_delete_many_errors: bool = True, ): BaseCache.__init__( self, default_timeout, ignore_delete_many_errors=ignore_delete_many_errors ) self._path = cache_dir self._threshold = threshold self._hash_method = hash_method # Mode set by user takes precedence. If no mode has # been given, we need to set the correct default based # on user platform. self._mode = mode if self._mode is None: self._mode = self._get_compatible_platform_mode() try: os.makedirs(self._path) except OSError as ex: if ex.errno != errno.EEXIST: raise # If there are many files and a zero threshold, # the list_dir can slow initialisation massively if self._threshold != 0: self._update_count(value=len(list(self._list_dir()))) def _get_compatible_platform_mode(self) -> int: mode = 0o600 # nix systems if platform.system() == "Windows": mode = stat.S_IWRITE return mode @property def _file_count(self) -> int: return self.get(self._fs_count_file) or 0 def _update_count(self, delta: int | None = None, value: int | None = None) -> None: # If we have no threshold, don't count files if self._threshold == 0: return if delta: new_count = self._file_count + delta else: new_count = value or 0 self.set(self._fs_count_file, new_count, mgmt_element=True) def _normalize_timeout(self, timeout: int | dt.timedelta | None) -> int: normalized_timeout = BaseCache._normalize_timeout(self, timeout) if normalized_timeout != 0: normalized_timeout = int(time()) + normalized_timeout return int(normalized_timeout) def _is_mgmt(self, name: str) -> bool: fshash = self._get_filename(self._fs_count_file).split(os.sep)[-1] return name == fshash or name.endswith(self._fs_transaction_suffix) def _list_dir(self) -> _t.Generator[str, None, None]: """return a list of (fully qualified) cache filenames""" return ( os.path.join(self._path, fn) for fn in os.listdir(self._path) if not self._is_mgmt(fn) ) def _over_threshold(self) -> bool: return self._threshold != 0 and self._file_count > self._threshold def _remove_expired(self, now: float) -> None: for fname in self._list_dir(): try: with self._safe_stream_open(fname, "rb") as f: expires = struct.unpack("I", f.read(4))[0] if expires != 0 and expires < now: os.remove(fname) self._update_count(delta=-1) except FileNotFoundError: pass except (OSError, EOFError, struct.error): logging.warning( "Exception raised while handling cache file '%s'", fname, exc_info=True, ) def _remove_older(self) -> bool: exp_fname_tuples = [] for fname in self._list_dir(): try: with self._safe_stream_open(fname, "rb") as f: timestamp = struct.unpack("I", f.read(4))[0] exp_fname_tuples.append((timestamp, fname)) except FileNotFoundError: pass except (OSError, EOFError, struct.error): logging.warning( "Exception raised while handling cache file '%s'", fname, exc_info=True, ) fname_sorted = ( fname for _, fname in sorted(exp_fname_tuples, key=lambda item: item[0]) ) for fname in fname_sorted: try: os.remove(fname) self._update_count(delta=-1) except FileNotFoundError: pass except OSError: logging.warning( "Exception raised while handling cache file '%s'", fname, exc_info=True, ) return False if not self._over_threshold(): break return True def _prune(self) -> None: if self._over_threshold(): now = time() self._remove_expired(now) # if still over threshold if self._over_threshold(): self._remove_older() def clear(self) -> bool: for i, fname in enumerate(self._list_dir()): try: os.remove(fname) except FileNotFoundError: pass except OSError: logging.warning( "Exception raised while handling cache file '%s'", fname, exc_info=True, ) self._update_count(delta=-i) return False self._update_count(value=0) return True def _get_filename(self, key: str | _t.Any) -> str: if isinstance(key, str): bkey = key.encode("utf-8") # XXX unicode review bkey_hash = self._hash_method(bkey).hexdigest() else: raise TypeError(f"Key must be a string, received type {type(key)}") return os.path.join(self._path, bkey_hash) def get(self, key: str) -> _t.Any: filename = self._get_filename(key) try: with self._safe_stream_open(filename, "rb") as f: pickle_time = struct.unpack("I", f.read(4))[0] if pickle_time == 0 or pickle_time >= time(): return self.serializer.load(f) except FileNotFoundError: pass except (OSError, EOFError, struct.error): logging.warning( "Exception raised while handling cache file '%s'", filename, exc_info=True, ) return None def add( self, key: str, value: _t.Any, timeout: int | dt.timedelta | None = None ) -> bool: filename = self._get_filename(key) if not os.path.exists(filename): return self.set(key, value, timeout) return False def set( self, key: str, value: _t.Any, timeout: int | dt.timedelta | None = None, mgmt_element: bool = False, ) -> bool: # Management elements have no timeout if mgmt_element: timeout = 0 # Don't prune on management element update, to avoid loop else: self._prune() normalized_timeout = self._normalize_timeout(timeout) filename = self._get_filename(key) overwrite = os.path.isfile(filename) try: fd, tmp = tempfile.mkstemp( suffix=self._fs_transaction_suffix, dir=self._path ) with os.fdopen(fd, "wb") as f: f.write(struct.pack("I", normalized_timeout)) self.serializer.dump(value, f) self._run_safely(os.replace, tmp, filename) self._run_safely(os.chmod, filename, self._mode) fsize = Path(filename).stat().st_size except OSError: logging.warning( "Exception raised while handling cache file '%s'", filename, exc_info=True, ) return False else: # Management elements should not count towards threshold if not overwrite and not mgmt_element: self._update_count(delta=1) return fsize > 0 # function should fail if file is empty def delete(self, key: str, mgmt_element: bool = False) -> bool: try: os.remove(self._get_filename(key)) except FileNotFoundError: # if file doesn't exist we consider it deleted return True except OSError: logging.warning("Exception raised while handling cache file", exc_info=True) return False else: # Management elements should not count towards threshold if not mgmt_element: self._update_count(delta=-1) return True def has(self, key: str) -> bool: filename = self._get_filename(key) try: with self._safe_stream_open(filename, "rb") as f: pickle_time = struct.unpack("I", f.read(4))[0] if pickle_time == 0 or pickle_time >= time(): return True else: return False except FileNotFoundError: # if there is no file there is no key return False except (OSError, EOFError, struct.error): logging.warning( "Exception raised while handling cache file '%s'", filename, exc_info=True, ) return False def _run_safely( self, fn: _t.Callable[..., _t.Any], *args: _t.Any, **kwargs: _t.Any ) -> _t.Any: """On some filesystems (e.g. SMB/CIFS on Linux, NTFS on Windows) os.replace, os.chmod and open can yield PermissionError when executed by two different processes concurrently. Retries with exponential backoff on all platforms.""" output = None wait_step = 0.001 max_sleep_time = 10.0 total_sleep_time = 0.0 while total_sleep_time < max_sleep_time: try: output = fn(*args, **kwargs) except PermissionError: sleep(wait_step) total_sleep_time += wait_step wait_step *= 2 else: break return output @contextmanager def _safe_stream_open( self, path: str, mode: str ) -> _t.Generator[_t.Any, None, None]: fs = self._run_safely(open, path, mode) if fs is None: raise OSError try: yield fs finally: fs.close() cachelib-0.17.0/src/cachelib/memcached.py000066400000000000000000000311661524271132000201360ustar00rootroot00000000000000import datetime as dt import re import typing as _t from contextlib import contextmanager from contextlib import nullcontext from functools import partial from time import time from cachelib.base import BaseCache _test_memcached_key = re.compile(r"[^\x00-\x21\xff]{1,250}$").match _MemcacheClientLib = _t.Literal["pylibmc", "google", "memcache", "libmc"] class MemcachedCache(BaseCache): """A cache that uses memcached as backend. The first argument can either be an object that resembles the API of a ``memcache.Client`` or a tuple/list of server addresses. In the event that a tuple/list is passed, CacheLib tries to import the best available memcache library. This cache looks into the following packages/modules to find bindings for memcached: - ``pylibmc`` - ``google.appengine.api.memcached`` - ``memcache`` - ``libmc`` Implementation notes: This cache backend works around some limitations in memcached to simplify the interface. For example unicode keys are encoded to UTF-8 on the fly. Methods such as :meth:`~.BaseCache.get_dict` return the keys in the same format as passed. Furthermore all get methods silently ignore key errors to not cause problems when untrusted user data is passed to the get methods which is often the case in web applications. This cache doesn't have a serializer since the underlying memcached client libraries handle serialization internally." :param servers: a list or tuple of server addresses or alternatively a ``memcache.Client`` or a compatible client. :param default_timeout: the default timeout that is used if no timeout is specified on :meth:`~.BaseCache.set`. Either a number of seconds or a :class:`datetime.timedelta`. A timeout of 0 indicates that the cache never expires. .. versionchanged:: 0.17.0 Accepts a :class:`datetime.timedelta`. :param key_prefix: a prefix that is added before all keys. This makes it possible to use the same memcached server for different applications. Keep in mind that :meth:`~.BaseCache.clear` will also clear keys with a different prefix. :param pool_size: the size of the connection pool. This is only used if the memcached client library supports connection pooling. .. versionadded:: 0.15.0 :param pool_blocking: if the connection pool is exhausted, should the client block until a connection is available or raise an exception. This is only used if the memcached client library supports connection pooling. .. versionadded:: 0.15.0 :param ignore_delete_many_errors: If False, delete_many() will raise a RuntimeError if any key fails to delete. Keys that do not exist are considered successfully deleted and do not raise. .. versionadded:: 0.16.0 :param check_connection: If True, the constructor will verify the connection to the memcached server and raise a RuntimeError if it fails. If False (default), connection errors are ignored at construction and surface on first use. .. versionadded:: 0.16.1 :param memcache_client_lib: Optional. A string indicating which memcache client library to use. Valid values are 'pylibmc', 'google', 'memcache', and 'libmc'. If not provided, the library will be auto-detected based on availability. .. versionadded:: 0.17.0 """ def __init__( self, servers: _t.Any = None, default_timeout: int | dt.timedelta = 300, key_prefix: str | None = None, pool_size: int = 1, pool_blocking: bool = True, ignore_delete_many_errors: bool = True, check_connection: bool = False, memcache_client_lib: _MemcacheClientLib | None = None, ): self.check_connection = check_connection BaseCache.__init__( self, default_timeout, ignore_delete_many_errors=ignore_delete_many_errors ) if servers is None or isinstance(servers, (list, tuple)): if servers is None: servers = ["127.0.0.1:11211"] self._client, self._client_context = self.import_preferred_memcache_lib( servers, pool_size, pool_blocking, memcache_client_lib ) else: # NOTE: servers is actually an already initialized memcache # client. self._client = servers self._client_context = partial(nullcontext, self._client) self.key_prefix = key_prefix def _normalize_key(self, key: str) -> str: if self.key_prefix: key = self.key_prefix + key return key def _normalize_timeout(self, timeout: int | dt.timedelta | None) -> int: normalized_timeout = BaseCache._normalize_timeout(self, timeout) if normalized_timeout > 0: normalized_timeout = int(time()) + normalized_timeout return normalized_timeout def get(self, key: str) -> _t.Any: key = self._normalize_key(key) # memcached doesn't support keys longer than that. Because often # checks for so long keys can occur because it's tested from user # submitted data etc we fail silently for getting. if _test_memcached_key(key): with self._client_context() as client: return client.get(key) def get_dict(self, *keys: str) -> dict[str, _t.Any]: key_mapping = {} for key in keys: encoded_key = self._normalize_key(key) if _test_memcached_key(key): key_mapping[encoded_key] = key _keys = list(key_mapping) with self._client_context() as client: d: dict[str, _t.Any] = client.get_multi(_keys) rv = d if self.key_prefix: rv = {} for key, value in d.items(): rv[key_mapping[key]] = value if len(rv) < len(keys): for key in keys: if key not in rv: rv[key] = None return rv def add( self, key: str, value: _t.Any, timeout: int | dt.timedelta | None = None ) -> bool: normalized_key = self._normalize_key(key) normalized_timeout = self._normalize_timeout(timeout) with self._client_context() as client: return bool(client.add(normalized_key, value, normalized_timeout)) def set( self, key: str, value: _t.Any, timeout: int | dt.timedelta | None = None ) -> bool | None: normalized_key = self._normalize_key(key) normalized_timeout = self._normalize_timeout(timeout) with self._client_context() as client: return bool(client.set(normalized_key, value, normalized_timeout)) def get_many(self, *keys: str) -> list[_t.Any]: d = self.get_dict(*keys) return [d[key] for key in keys] def set_many( self, mapping: dict[str, _t.Any], timeout: int | dt.timedelta | None = None ) -> list[_t.Any]: new_mapping = {} for key, value in mapping.items(): key = self._normalize_key(key) new_mapping[key] = value normalized_timeout = self._normalize_timeout(timeout) with self._client_context() as client: failed_keys: list[_t.Any] = client.set_multi( new_mapping, normalized_timeout ) k_normkey = zip(mapping.keys(), new_mapping.keys(), strict=True) return [k for k, nkey in k_normkey if nkey not in failed_keys] def delete(self, key: str) -> bool: normalized_key = self._normalize_key(key) if _test_memcached_key(normalized_key): with self._client_context() as client: return bool(client.delete(normalized_key)) return False def delete_many(self, *keys: str) -> list[_t.Any]: new_keys = [] normalized_keys = [] for key in keys: normalized = self._normalize_key(key) if _test_memcached_key(normalized): new_keys.append(key) normalized_keys.append(normalized) with self._client_context() as client: client.delete_multi(normalized_keys) deleted_keys = [k for k in new_keys if not self.has(k)] if not self.ignore_delete_many_errors and len(deleted_keys) != len(new_keys): failed_keys = [k for k in new_keys if k not in deleted_keys] if failed_keys: raise RuntimeError(f"Failed to delete keys: {failed_keys}") return deleted_keys def has(self, key: str) -> bool: normalized_key = self._normalize_key(key) if _test_memcached_key(normalized_key): with self._client_context() as client: return bool(client.append(normalized_key, "")) return False def clear(self) -> bool: with self._client_context() as client: # python-memcached's flush_all returns None on success result = client.flush_all() return True if result is None else bool(result) def inc(self, key: str, delta: int = 1) -> int | None: normalized_key = self._normalize_key(key) with self._client_context() as client: value = (client.get(normalized_key) or 0) + delta return value if self.set(key, value) else None def dec(self, key: str, delta: int = 1) -> int | None: normalized_key = self._normalize_key(key) with self._client_context() as client: value = (client.get(normalized_key) or 0) - delta return value if self.set(key, value) else None def _create_pylibmc( self, servers: _t.Any, pool_size: int, pool_blocking: bool = True ) -> tuple[_t.Any, _t.Callable[[], _t.ContextManager[_t.Any]]]: import pylibmc # type: ignore client = pylibmc.Client(servers) if self.check_connection: try: client.get_stats() except pylibmc.Error as err: raise RuntimeError( f"could not connect to memcached server(s): {err}" ) from err pool = pylibmc.ClientPool(client, pool_size) reserve = partial(pool.reserve, block=pool_blocking) return pool, reserve def _create_google( self, servers: _t.Any, pool_size: int, pool_blocking: bool = True ) -> tuple[_t.Any, _t.Callable[[], _t.ContextManager[_t.Any]]]: from google.appengine.api import memcache # type: ignore client = memcache.Client() return client, partial(nullcontext, client) def _create_memcache( self, servers: _t.Any, pool_size: int, pool_blocking: bool = True ) -> tuple[_t.Any, _t.Callable[[], _t.ContextManager[_t.Any]]]: import memcache # type: ignore client = memcache.Client(servers) return client, partial(nullcontext, client) def _create_libmc( self, servers: _t.Any, pool_size: int, pool_blocking: bool = True ) -> tuple[_t.Any, _t.Callable[[], _t.ContextManager[_t.Any]]]: import libmc # type: ignore # libmc.ClientPool doesn't take pool_size as a positional arg, # and its .client() always blocks/auto-grows, no non-blocking mode. pool = libmc.ClientPool(servers) pool.config(libmc.MC_INITIAL_CLIENTS, pool_size) pool.config(libmc.MC_MAX_CLIENTS, pool_size) @contextmanager def get_client() -> _t.Generator[_t.Any, None, None]: # flush_all is disabled by default in libmc; enable per connection. with pool.client() as client: client.toggle_flush_all_feature(True) yield client return pool, get_client def import_preferred_memcache_lib( self, servers: _t.Any, pool_size: int, pool_blocking: bool = True, memcache_client_lib: _MemcacheClientLib | None = None, ) -> tuple[_t.Any, _t.Callable[[], _t.ContextManager[_t.Any]]]: """Returns an initialized memcache client. Used by the constructor.""" factories = { "pylibmc": self._create_pylibmc, "google": self._create_google, "memcache": self._create_memcache, "libmc": self._create_libmc, } if memcache_client_lib is not None: factory = factories.get(memcache_client_lib) if factory is None: raise ValueError(f"Invalid memcache_client_lib: {memcache_client_lib}") return factory(servers, pool_size, pool_blocking) for factory in factories.values(): try: return factory(servers, pool_size, pool_blocking) except ImportError: continue raise RuntimeError("no memcache module found") cachelib-0.17.0/src/cachelib/mongodb.py000066400000000000000000000204021524271132000176440ustar00rootroot00000000000000import datetime as dt import typing as _t from cachelib.base import BaseCache from cachelib.serializers import MongoDbSerializer class MongoDbCache(BaseCache): """ Implementation of :class:`~.BaseCache` that uses mongodb collection as the backend. Limitations: maximum ``MongoDB`` document size is 16 MB :param client: mongodb client or connection string :param db: mongodb database name :param collection: mongodb collection name :param default_timeout: Set the timeout after which cache entries expire, either a number of seconds or a :class:`datetime.timedelta` .. versionchanged:: 0.17.0 Accepts a :class:`datetime.timedelta`. :param key_prefix: A prefix that should be added to all keys. :param ignore_delete_many_errors: If False, delete_many() will raise a RuntimeError if any key fails to delete. Keys that do not exist are considered successfully deleted and do not raise. .. versionadded:: 0.16.0 :param check_connection: If True, the constructor will verify the connection to the mongodb server and raise a RuntimeError if it fails. If False (default), connection errors are ignored at construction and surface on first use. .. versionadded:: 0.16.1 """ serializer = MongoDbSerializer() def __init__( self, client: _t.Any = None, db: str = "cache-db", collection: str = "cache-collection", default_timeout: int | dt.timedelta = 300, key_prefix: str | None = None, ignore_delete_many_errors: bool = True, check_connection: bool = False, **kwargs: _t.Any, ): self.check_connection = check_connection super().__init__( default_timeout, ignore_delete_many_errors=ignore_delete_many_errors ) try: import pymongo except ImportError as err: raise RuntimeError("no pymongo module found") from err if client is None or isinstance(client, str): client = pymongo.MongoClient(host=client, **kwargs) if self.check_connection: try: client.admin.command("ping") except pymongo.errors.PyMongoError as err: raise RuntimeError( f"could not connect to MongoDB server: {err}" ) from err self.client = client[db][collection] index_info = self.client.index_information() all_keys = { subkey[0] for value in index_info.values() for subkey in value["key"] } if "id" not in all_keys: self.client.create_index("id", unique=True) self.key_prefix = key_prefix or "" self.collection = collection def _utcnow(self) -> dt.datetime: """Return a tz-aware UTC datetime representing the current time""" return dt.datetime.now(dt.UTC) def _expire_records(self) -> _t.Any: res = self.client.delete_many({"expiration": {"$lte": self._utcnow()}}) return res def get(self, key: str) -> _t.Any: """ Get a cache item :param key: The cache key of the item to fetch :return: cache value if not expired, else ``None`` """ self._expire_records() record = self.client.find_one({"id": self.key_prefix + key}) value = None if record: value = self.serializer.loads(record["val"]) return value def delete(self, key: str) -> bool: """ Deletes an item from the cache. This is a no-op if the item doesn't exist :param key: Key of the item to delete. :return: True if the key existed and was deleted """ res = self.client.delete_one({"id": self.key_prefix + key}) deleted = bool(res.deleted_count > 0) return deleted def _set( self, key: str, value: _t.Any, timeout: int | dt.timedelta | None = None, overwrite: bool | None = True, ) -> _t.Any: """ Store a cache item, with the option to not overwrite existing items :param key: Cache key to use :param value: a serializable object :param timeout: The timeout for the cached item, to override the default. Either a number of seconds or a :class:`datetime.timedelta`. :param overwrite: If true, overwrite any existing cache item with key. If false, the new value will only be stored if no non-expired cache item exists with key. :return: True if the new item was stored. """ normalized_timeout = self._normalize_timeout(timeout) now = self._utcnow() if not overwrite: # fail if a non-expired item with this key # already exists if self.has(key): return False dump = self.serializer.dumps(value) record: dict[str, str | bytes | None | dt.datetime] = { "id": self.key_prefix + key, "val": dump, } if normalized_timeout > 0: record["expiration"] = now + dt.timedelta(seconds=normalized_timeout) self.client.update_one({"id": self.key_prefix + key}, {"$set": record}, True) return True def set( self, key: str, value: _t.Any, timeout: int | dt.timedelta | None = None ) -> _t.Any: self._expire_records() return self._set(key, value, timeout=timeout, overwrite=True) def set_many( self, mapping: dict[str, _t.Any], timeout: int | dt.timedelta | None = None ) -> list[_t.Any]: self._expire_records() from pymongo import UpdateOne operations = [] now = self._utcnow() normalized_timeout = self._normalize_timeout(timeout) for key, val in mapping.items(): dump = self.serializer.dumps(val) record: dict[str, str | bytes | None | dt.datetime] = { "id": self.key_prefix + key, "val": dump, } if normalized_timeout > 0: record["expiration"] = now + dt.timedelta(seconds=normalized_timeout) operations.append( UpdateOne({"id": self.key_prefix + key}, {"$set": record}, upsert=True), ) result = self.client.bulk_write(operations) keys = list(mapping.keys()) if result.bulk_api_result["nUpserted"] != len(keys): query = self.client.find( {"id": {"$in": [self.key_prefix + key for key in keys]}} ) keys = [] for item in query: keys.append(item["id"]) return keys def get_many(self, *keys: str) -> list[_t.Any]: results = self.get_dict(*keys) values = [] for key in keys: values.append(results.get(key, None)) return values def get_dict(self, *keys: str) -> dict[str, _t.Any]: self._expire_records() query = self.client.find( {"id": {"$in": [self.key_prefix + key for key in keys]}} ) results = dict.fromkeys(keys, None) for item in query: value = self.serializer.loads(item["val"]) results[item["id"][len(self.key_prefix) :]] = value return results def add( self, key: str, value: _t.Any, timeout: int | dt.timedelta | None = None ) -> _t.Any: self._expire_records() return self._set(key, value, timeout=timeout, overwrite=False) def has(self, key: str) -> bool: self._expire_records() record = self.get(key) return record is not None def delete_many(self, *keys: str) -> list[_t.Any]: self._expire_records() res = list(keys) filter = {"id": {"$in": [self.key_prefix + key for key in keys]}} result = self.client.delete_many(filter) if result.deleted_count != len(keys): existing_keys = [ item["id"][len(self.key_prefix) :] for item in self.client.find(filter) ] res = [item for item in keys if item not in existing_keys] if not self.ignore_delete_many_errors and existing_keys: raise RuntimeError(f"Failed to delete keys: {existing_keys}") return res def clear(self) -> bool: self.client.drop() return True cachelib-0.17.0/src/cachelib/py.typed000066400000000000000000000000001524271132000173340ustar00rootroot00000000000000cachelib-0.17.0/src/cachelib/redis.py000066400000000000000000000063301524271132000173310ustar00rootroot00000000000000import datetime as dt import typing as _t from cachelib.redis_base import BaseRedisCache from cachelib.serializers import RedisSerializer class RedisCache(BaseRedisCache): """Uses the Redis key-value store as a cache backend. The first argument can be either a string denoting address of the Redis server or an object resembling an instance of a redis.Redis class. Note: Python Redis API already takes care of encoding unicode strings on the fly. :param host: address of the Redis server or an object which API is compatible with the official Python Redis client (``redis-py``). :param port: port number on which Redis server listens for connections. :param password: password authentication for the Redis server. :param db: db (zero-based numeric index) on Redis Server to connect. :param default_timeout: the default timeout that is used if no timeout is specified on :meth:`~.BaseCache.set`. Either a number of seconds or a :class:`datetime.timedelta`. A timeout of 0 indicates that the cache never expires. .. versionchanged:: 0.17.0 Accepts a :class:`datetime.timedelta`. :param key_prefix: A prefix that should be added to all keys. :param ignore_delete_many_errors: If False, delete_many() will raise a RuntimeError if any key fails to delete. Keys that do not exist are considered successfully deleted and do not raise. .. versionadded:: 0.16.0 :param check_connection: If True, the constructor will verify the connection to the Redis server and raise a RuntimeError if it fails. If False (default), connection errors are ignored at construction and surface on first use. .. versionadded:: 0.16.1 Any additional keyword arguments will be passed to ``redis.Redis``. """ serializer = RedisSerializer() def __init__( self, host: _t.Any = "localhost", port: int = 6379, password: str | None = None, db: int = 0, default_timeout: int | dt.timedelta = 300, key_prefix: str | _t.Callable[[], str] | None = None, ignore_delete_many_errors: bool = True, check_connection: bool = False, **kwargs: _t.Any, ): if host is None: raise ValueError("RedisCache host parameter may not be None") if isinstance(host, str): try: import redis except ImportError as err: raise RuntimeError("no redis module found") from err if kwargs.get("decode_responses", None): raise ValueError("decode_responses is not supported by RedisCache.") client = redis.Redis( host=host, port=port, password=password, db=db, **kwargs ) else: client = host if check_connection: try: client.ping() except Exception as err: raise RuntimeError(f"could not connect to Redis server: {err}") from err super().__init__( client, default_timeout, key_prefix, ignore_delete_many_errors=ignore_delete_many_errors, check_connection=check_connection, ) cachelib-0.17.0/src/cachelib/redis_base.py000066400000000000000000000144451524271132000203310ustar00rootroot00000000000000import datetime as dt import typing as _t from cachelib.base import BaseCache from cachelib.serializers import BaseRedisSerializer class BaseRedisCache(BaseCache): """Base class for Redis compatible cache backends. Sub classes are responsible for constructing the client and passing it to this base via ``super().__init__``. :param client: a connected client instance compatible with the Redis API. :param default_timeout: the default timeout that is used if no timeout is specified on :meth:`~.BaseCache.set`. Either a number of seconds or a :class:`datetime.timedelta`. A timeout of 0 indicates that the cache never expires. .. versionchanged:: 0.17.0 Accepts a :class:`datetime.timedelta`. :param key_prefix: A prefix that should be added to all keys. :param ignore_delete_many_errors: If False, delete_many() will raise a RuntimeError if any key fails to delete. Keys that do not exist are considered successfully deleted and do not raise. .. versionadded:: 0.16.0 :param check_connection: If True, the constructor will verify the connection to the Redis server and raise a RuntimeError if it fails. If False (default), connection errors are ignored at construction and surface on first use. .. versionadded:: 0.16.1 """ _read_client: _t.Any = None _write_client: _t.Any = None serializer = BaseRedisSerializer() def __init__( self, client: _t.Any, default_timeout: int | dt.timedelta = 300, key_prefix: str | _t.Callable[[], str] | None = None, ignore_delete_many_errors: bool = True, check_connection: bool = False, ): BaseCache.__init__( self, default_timeout, ignore_delete_many_errors=ignore_delete_many_errors ) self._read_client = self._write_client = client self.key_prefix = key_prefix or "" self.check_connection = check_connection def _get_prefix(self) -> str: return ( self.key_prefix if isinstance(self.key_prefix, str) else self.key_prefix() ) def _normalize_timeout(self, timeout: int | dt.timedelta | None) -> int: """Normalize timeout by setting it to default of 300 if not defined (None) or -1 if explicitly set to zero. :param timeout: timeout to normalize, either a number of seconds or a :class:`datetime.timedelta`. """ normalized_timeout = BaseCache._normalize_timeout(self, timeout) if normalized_timeout == 0: normalized_timeout = -1 return normalized_timeout def get(self, key: str) -> _t.Any: return self.serializer.loads( self._read_client.get(f"{self._get_prefix()}{key}") ) def get_many(self, *keys: str) -> list[_t.Any]: if self.key_prefix: prefixed_keys = [f"{self._get_prefix()}{key}" for key in keys] else: prefixed_keys = list(keys) return [self.serializer.loads(x) for x in self._read_client.mget(prefixed_keys)] def set( self, key: str, value: _t.Any, timeout: int | dt.timedelta | None = None ) -> _t.Any: normalized_timeout = self._normalize_timeout(timeout) dump = self.serializer.dumps(value) result = self._write_client.set( name=f"{self._get_prefix()}{key}", value=dump, ex=normalized_timeout if normalized_timeout != -1 else None, ) return result def add( self, key: str, value: _t.Any, timeout: int | dt.timedelta | None = None ) -> _t.Any: normalized_timeout = self._normalize_timeout(timeout) dump = self.serializer.dumps(value) created = self._write_client.setnx( name=f"{self._get_prefix()}{key}", value=dump ) # handle case where timeout is explicitly set to zero if created and normalized_timeout != -1: self._write_client.expire( name=f"{self._get_prefix()}{key}", time=normalized_timeout ) return created def set_many( self, mapping: dict[str, _t.Any], timeout: int | dt.timedelta | None = None ) -> list[_t.Any]: normalized_timeout = self._normalize_timeout(timeout) # Use transaction=False to batch without calling redis MULTI # which is not supported by twemproxy pipe = self._write_client.pipeline(transaction=False) for key, value in mapping.items(): dump = self.serializer.dumps(value) pipe.set( name=f"{self._get_prefix()}{key}", value=dump, ex=normalized_timeout if normalized_timeout != -1 else None, ) results = pipe.execute() return [ k for k, was_set in zip(mapping.keys(), results, strict=True) if was_set ] def delete(self, key: str) -> bool: return bool(self._write_client.delete(f"{self._get_prefix()}{key}")) def delete_many(self, *keys: str) -> list[_t.Any]: if not keys: return [] if self.key_prefix: prefixed_keys = [f"{self._get_prefix()}{key}" for key in keys] else: prefixed_keys = [k for k in keys] self._write_client.delete(*prefixed_keys) deleted_keys = [k for k in keys if not self.has(k)] if not self.ignore_delete_many_errors and len(deleted_keys) != len(keys): failed_keys = [k for k in keys if k not in deleted_keys] if failed_keys: raise RuntimeError(f"Failed to delete keys: {failed_keys}") return deleted_keys def has(self, key: str) -> bool: return bool(self._read_client.exists(f"{self._get_prefix()}{key}")) def clear(self) -> bool: status = 0 if self.key_prefix: keys = self._read_client.keys(self._get_prefix() + "*") if keys: status = self._write_client.delete(*keys) else: status = self._write_client.flushdb() return bool(status) def inc(self, key: str, delta: int = 1) -> _t.Any: return self._write_client.incr(name=f"{self._get_prefix()}{key}", amount=delta) def dec(self, key: str, delta: int = 1) -> _t.Any: return self._write_client.incr(name=f"{self._get_prefix()}{key}", amount=-delta) cachelib-0.17.0/src/cachelib/serializers.py000066400000000000000000000122261524271132000205600ustar00rootroot00000000000000import json import logging import pickle import typing as _t class BaseSerializer: """This is the base interface for all default serializers. BaseSerializer.load and BaseSerializer.dump will default to pickle.load and pickle.dump. This is currently used only by FileSystemCache which dumps/loads to/from a file stream. """ def _warn(self, e: Exception) -> None: logging.warning(f"An exception has been raised during an operation: {e}") def dump( self, value: int, f: _t.IO[bytes], protocol: int = pickle.HIGHEST_PROTOCOL ) -> None: try: pickle.dump(value, f, protocol) except (pickle.PickleError, pickle.PicklingError) as e: self._warn(e) def load(self, f: _t.BinaryIO) -> _t.Any: try: data = pickle.load(f) except pickle.PickleError as e: self._warn(e) return None else: return data """BaseSerializer.loads and BaseSerializer.dumps work on top of pickle.loads and pickle.dumps. Dumping/loading strings and byte strings is the default for most cache types. """ def dumps( self, value: _t.Any, protocol: int = pickle.HIGHEST_PROTOCOL ) -> bytes | None: try: serialized = pickle.dumps(value, protocol) except (pickle.PickleError, pickle.PicklingError) as e: self._warn(e) return None return serialized def loads(self, bvalue: bytes) -> _t.Any: try: data = pickle.loads(bvalue) except pickle.PickleError as e: self._warn(e) return None else: return data class BaseRedisSerializer(BaseSerializer): """Base serializer for Redis compatible caches.""" def dumps(self, value: _t.Any, protocol: int = pickle.HIGHEST_PROTOCOL) -> bytes: """Dumps an object into a string for redis. Integers are stored as plain ASCII so they remain compatible with the native ``INCRBY``/``DECRBY`` operations used by :meth:`inc`/:meth:`dec`; everything else is pickled. """ # check type instead of isinstance since bool is an int subclass if type(value) is int: return str(value).encode("ascii") return b"!" + pickle.dumps(value, protocol) def loads(self, value: bytes | None) -> _t.Any: """The reversal of :meth:`dumps`. This might be called with None. """ if value is None: return None if value.startswith(b"!"): try: return pickle.loads(value[1:]) except pickle.PickleError: return None try: return int(value) except ValueError: # before 0.8 we did not have serialization. Still support that. return value class JSONSerializer(BaseSerializer): """Generic JSON serializer for caches. Use this serializer if you want to serialize to JSON instead of pickle. Note that JSON does not support serialization of Python bytes objects. If you need to cache bytes, use the default pickle-based serializer. This serializer is not used by default. """ def dump( self, value: _t.Any, f: _t.IO[bytes], *args: _t.Any, **kwargs: _t.Any ) -> None: try: f.write(json.dumps(value, *args, **kwargs).encode()) except (TypeError, ValueError) as e: self._warn(e) def load(self, f: _t.IO[bytes], *args: _t.Any, **kwargs: _t.Any) -> _t.Any: try: data = json.loads(f.read(), *args, **kwargs) except (TypeError, ValueError) as e: self._warn(e) return None else: return data def dumps(self, value: _t.Any, *args: _t.Any, **kwargs: _t.Any) -> bytes | None: try: serialized = json.dumps(value, *args, **kwargs).encode() except (TypeError, ValueError) as e: self._warn(e) return None return serialized def loads( self, bvalue: str | bytes | bytearray, *args: _t.Any, **kwargs: _t.Any ) -> _t.Any: try: data = json.loads(bvalue, *args, **kwargs) except (TypeError, ValueError) as e: self._warn(e) return None else: return data """Default serializers for each cache type. The following classes can be used to further customize serialiation behaviour. Alternatively, any serializer can be overridden in order to use a custom serializer with a different strategy altogether. """ class UWSGISerializer(BaseSerializer): """Default serializer for UWSGICache.""" class SimpleSerializer(BaseSerializer): """Default serializer for SimpleCache.""" class FileSystemSerializer(BaseSerializer): """Default serializer for FileSystemCache.""" class MongoDbSerializer(BaseSerializer): """Default serializer for MongoDbCache.""" class RedisSerializer(BaseRedisSerializer): """Default serializer for RedisCache.""" class ValkeySerializer(BaseRedisSerializer): """Default serializer for ValkeyCache.""" class DynamoDbSerializer(BaseRedisSerializer): """Default serializer for DynamoDbCache.""" cachelib-0.17.0/src/cachelib/simple.py000066400000000000000000000107361524271132000175210ustar00rootroot00000000000000import datetime as dt import threading import typing as _t from time import time from cachelib.base import BaseCache from cachelib.serializers import SimpleSerializer class SimpleCache(BaseCache): """Simple memory cache for single process environments. All operations are protected by a :class:`threading.RLock`, making a cache instance safe to use from multiple threads within the same process. :param threshold: the maximum number of items the cache stores before it starts deleting some. :param default_timeout: the default timeout that is used if no timeout is specified on :meth:`~.BaseCache.set`. Either a number of seconds or a :class:`datetime.timedelta`. A timeout of 0 indicates that the cache never expires. .. versionchanged:: 0.17.0 Accepts a :class:`datetime.timedelta`. :param ignore_delete_many_errors: If False, delete_many() will raise a RuntimeError if any key fails to delete. Keys that do not exist are considered successfully deleted and do not raise. .. versionadded:: 0.16.0 """ serializer = SimpleSerializer() def __init__( self, threshold: int = 500, default_timeout: int | dt.timedelta = 300, ignore_delete_many_errors: bool = True, ): BaseCache.__init__( self, default_timeout, ignore_delete_many_errors=ignore_delete_many_errors ) self._cache: dict[str, _t.Any] = {} self._threshold = threshold or 500 # threshold = 0 self._lock = threading.RLock() def _over_threshold(self) -> bool: return len(self._cache) > self._threshold def _remove_expired(self, now: float) -> None: toremove = [k for k, (expires, _) in self._cache.items() if expires < now] for k in toremove: self._cache.pop(k, None) def _remove_older(self) -> None: k_ordered = ( k for k, v in sorted(self._cache.items(), key=lambda item: item[1][0]) ) for k in k_ordered: self._cache.pop(k, None) if not self._over_threshold(): break def _prune(self) -> None: if self._over_threshold(): now = time() self._remove_expired(now) # remove older items if still over threshold if self._over_threshold(): self._remove_older() def _normalize_timeout(self, timeout: int | dt.timedelta | None) -> int: normalized_timeout = BaseCache._normalize_timeout(self, timeout) if normalized_timeout > 0: normalized_timeout = int(time()) + normalized_timeout return normalized_timeout def get(self, key: str) -> _t.Any: with self._lock: try: expires, value = self._cache[key] if expires == 0 or expires > time(): return self.serializer.loads(value) except KeyError: return None def set( self, key: str, value: _t.Any, timeout: int | dt.timedelta | None = None ) -> bool | None: with self._lock: expires = self._normalize_timeout(timeout) self._prune() self._cache[key] = (expires, self.serializer.dumps(value)) return True def add( self, key: str, value: _t.Any, timeout: int | dt.timedelta | None = None ) -> bool: with self._lock: expires = self._normalize_timeout(timeout) self._prune() item = (expires, self.serializer.dumps(value)) # key exists and is not expired, do not add if self.has(key): return False # key does not exist or is expired, add it self._cache[key] = item return True def delete(self, key: str) -> bool: with self._lock: return self._cache.pop(key, None) is not None def has(self, key: str) -> bool: with self._lock: try: expires, value = self._cache[key] return bool(expires == 0 or expires > time()) except KeyError: return False def clear(self) -> bool: with self._lock: self._cache.clear() return not bool(self._cache) def inc(self, key: str, delta: int = 1) -> int | None: with self._lock: return super().inc(key, delta) def dec(self, key: str, delta: int = 1) -> int | None: with self._lock: return super().dec(key, delta) cachelib-0.17.0/src/cachelib/uwsgi.py000066400000000000000000000061131524271132000173600ustar00rootroot00000000000000import datetime as dt import platform import typing as _t from cachelib.base import BaseCache from cachelib.serializers import UWSGISerializer class UWSGICache(BaseCache): """Implements the cache using uWSGI's caching framework. .. note:: This class cannot be used when running under PyPy, because the uWSGI API implementation for PyPy is lacking the needed functionality. :param default_timeout: The default timeout, either a number of seconds or a :class:`datetime.timedelta`. .. versionchanged:: 0.17.0 Accepts a :class:`datetime.timedelta`. :param cache: The name of the caching instance to connect to, for example: mycache@localhost:3031, defaults to an empty string, which means uWSGI will cache in the local instance. If the cache is in the same instance as your app, you only have to provide the name of the cache. :param ignore_delete_many_errors: If False, delete_many() will raise a RuntimeError if any key fails to delete. Keys that do not exist are considered successfully deleted and do not raise. .. versionadded:: 0.16.0 """ serializer = UWSGISerializer() def __init__( self, default_timeout: int | dt.timedelta = 300, cache: str = "", ignore_delete_many_errors: bool = True, ): BaseCache.__init__( self, default_timeout, ignore_delete_many_errors=ignore_delete_many_errors ) if platform.python_implementation() == "PyPy": raise RuntimeError( "uWSGI caching does not work under PyPy, see the docs for more details." ) try: import uwsgi # type: ignore self._uwsgi = uwsgi except ImportError as err: raise RuntimeError( "uWSGI could not be imported, are you running under uWSGI?" ) from err self.cache = cache def get(self, key: str) -> _t.Any: rv = self._uwsgi.cache_get(key, self.cache) if rv is None: return return self.serializer.loads(rv) def delete(self, key: str) -> bool: return bool(self._uwsgi.cache_del(key, self.cache)) def set( self, key: str, value: _t.Any, timeout: int | dt.timedelta | None = None ) -> _t.Literal[True] | None: result = self._uwsgi.cache_update( key, self.serializer.dumps(value), self._normalize_timeout(timeout), self.cache, ) # type: _t.Optional[_t.Literal[True]] return result def add( self, key: str, value: _t.Any, timeout: int | dt.timedelta | None = None ) -> bool: return bool( self._uwsgi.cache_set( key, self.serializer.dumps(value), self._normalize_timeout(timeout), self.cache, ) ) def clear(self) -> bool: return bool(self._uwsgi.cache_clear(self.cache)) def has(self, key: str) -> bool: return self._uwsgi.cache_exists(key, self.cache) is not None cachelib-0.17.0/src/cachelib/valkey.py000066400000000000000000000077201524271132000175220ustar00rootroot00000000000000import datetime as dt import typing as _t from cachelib.redis_base import BaseRedisCache from cachelib.serializers import ValkeySerializer class ValkeyCache(BaseRedisCache): """Uses the Valkey key-value store as a cache backend. The first argument can be either a string denoting address of the Valkey server or an object resembling an instance of a valkey.Valkey class. Note: Python Valkey API already takes care of encoding unicode strings on the fly. :param host: address of the Valkey server or an object which API is compatible with the official Python Valkey client (``valkey-py``). :param port: port number on which Valkey server listens for connections. :param password: password authentication for the Valkey server. :param db: db (zero-based numeric index) on Valkey Server to connect. :param default_timeout: the default timeout that is used if no timeout is specified on :meth:`~.BaseCache.set`. Either a number of seconds or a :class:`datetime.timedelta`. A timeout of 0 indicates that the cache never expires. .. versionchanged:: 0.17.0 Accepts a :class:`datetime.timedelta`. :param key_prefix: A prefix that should be added to all keys. :param ignore_delete_many_errors: If False, delete_many() will raise a RuntimeError if any key fails to delete. Keys that do not exist are considered successfully deleted and do not raise. .. versionadded:: 0.16.0 :param check_connection: If True, the constructor will verify the connection to the Valkey server and raise a RuntimeError if it fails. If False (default), connection errors are ignored at construction and surface on first use. .. versionadded:: 0.16.1 Any additional keyword arguments will be passed to ``valkey.Valkey``. """ serializer = ValkeySerializer() def __init__( self, host: _t.Any = "localhost", port: int = 6379, password: str | None = None, db: int = 0, default_timeout: int | dt.timedelta = 300, key_prefix: str | _t.Callable[[], str] | None = None, ignore_delete_many_errors: bool = True, check_connection: bool = False, **kwargs: _t.Any, ): if host is None: raise ValueError("ValkeyCache host parameter may not be None") if isinstance(host, str): try: import valkey except ImportError as err: raise RuntimeError("no valkey module found") from err if kwargs.get("decode_responses", None): raise ValueError("decode_responses is not supported by ValkeyCache.") client = valkey.Valkey( host=host, port=port, password=password, db=db, **kwargs ) else: client = host if check_connection: try: client.ping() except Exception as err: raise RuntimeError( f"could not connect to Valkey server: {err}" ) from err super().__init__( client, default_timeout, key_prefix, ignore_delete_many_errors, check_connection, ) def set_many( self, mapping: dict[str, _t.Any], timeout: int | dt.timedelta | None = None ) -> list[_t.Any]: normalized_timeout = self._normalize_timeout(timeout) # Use transaction=False to batch without calling MULTI pipe = self._write_client.pipeline(transaction=False) for key, value in mapping.items(): dump = self.serializer.dumps(value) pipe.set( name=f"{self._get_prefix()}{key}", value=dump, ex=normalized_timeout if normalized_timeout != -1 else None, ) results = pipe.execute() return [ k for k, was_set in zip(mapping.keys(), results, strict=True) if was_set ] cachelib-0.17.0/tests/000077500000000000000000000000001524271132000144705ustar00rootroot00000000000000cachelib-0.17.0/tests/clear.py000066400000000000000000000005141524271132000161300ustar00rootroot00000000000000from conftest import TestData class ClearTests(TestData): """Tests for the optional 'clear' method specified by BaseCache""" def test_clear(self): cache = self.cache_factory() assert cache.set_many(self.sample_pairs) assert cache.clear() assert not any(cache.get_many(*self.sample_pairs)) cachelib-0.17.0/tests/common.py000066400000000000000000000101761524271132000163370ustar00rootroot00000000000000from datetime import timedelta from time import sleep import pytest from conftest import TestData from conftest import under_uwsgi class CommonTests(TestData): """A base set of tests to be run for all cache types""" def test_set_get(self): cache = self.cache_factory() for k, v in self.sample_pairs.items(): assert cache.set(k, v) assert cache.get(k) == v def test_set_get_many(self): cache = self.cache_factory() result = cache.set_many(self.sample_pairs) assert result == list(self.sample_pairs.keys()) values = cache.get_many(*self.sample_pairs) assert values == list(self.sample_pairs.values()) def test_get_dict(self): cache = self.cache_factory() cache.set_many(self.sample_pairs) d = cache.get_dict(*self.sample_pairs) assert d == self.sample_pairs def test_delete(self): cache = self.cache_factory() for k, v in self.sample_pairs.items(): cache.set(k, v) assert cache.delete(k) assert not cache.get(k) def test_delete_many(self): cache = self.cache_factory() cache.set_many(self.sample_pairs) result = cache.delete_many(*self.sample_pairs) assert result == list(self.sample_pairs.keys()) assert not any(cache.get_many(*self.sample_pairs)) def test_delete_many_ignore_errors(self): cache = self.cache_factory() cache.set("bacon", "spam") cache.delete_many("eggs", "bacon") assert cache.get("bacon") is None def test_delete_many_raise_errors_nonexistent_key(self): cache = self.cache_factory(ignore_delete_many_errors=False) cache.set("bacon", "spam") # nonexistent keys are considered deleted and must not raise result = cache.delete_many("eggs", "bacon") assert result == ["eggs", "bacon"] assert cache.get("bacon") is None def test_add(self): cache = self.cache_factory() cache.set_many(self.sample_pairs) for k in self.sample_pairs: assert not cache.add(k, "updated") assert cache.get_many(*self.sample_pairs) == list(self.sample_pairs.values()) for k, v in self.sample_pairs.items(): assert cache.add(f"{k}-new", v) assert cache.get(f"{k}-new") == v def test_inc_dec(self): cache = self.cache_factory() for n in self.sample_numbers: assert not cache.get(f"{n}-key-inc") assert cache.inc(f"{n}-key-inc", n) == n assert cache.get(f"{n}-key-inc") == n assert cache.dec(f"{n}-key-dec", n) == -n assert cache.get(f"{n}-key-dec") == -n assert cache.dec(f"{n}-key-inc", 5) == n - 5 def test_inc_dec_after_set(self): cache = self.cache_factory() assert cache.set("count", 10) assert cache.inc("count", 5) == 15 assert cache.dec("count", 3) == 12 assert cache.get("count") == 12 def test_bool_roundtrip(self): cache = self.cache_factory() assert cache.set("true-key", True) assert cache.get("true-key") is True assert cache.set("false-key", False) assert cache.get("false-key") is False def test_expiration(self): if under_uwsgi(): pytest.skip( "uwsgi uses a separate sweeper thread to clean" " expired cache entries, thus the testing" " of such feature must be handled differently" " from other cache types." ) cache = self.cache_factory() for k, v in self.sample_pairs.items(): cache.set(f"{k}-t0", v, timeout=0) cache.set(f"{k}-t1", v, timeout=1) # timedeltas are equivalent to the same amount of seconds cache.set(f"{k}-td0", v, timeout=timedelta()) cache.set(f"{k}-td1", v, timeout=timedelta(seconds=1)) sleep(4) for k, v in self.sample_pairs.items(): assert cache.get(f"{k}-t0") == v assert not cache.get(f"{k}-t1") assert cache.get(f"{k}-td0") == v assert not cache.get(f"{k}-td1") cachelib-0.17.0/tests/conftest.py000066400000000000000000000073071524271132000166760ustar00rootroot00000000000000import os import subprocess import warnings from pathlib import Path import pytest from xprocess import ProcessStarter def under_uwsgi(): try: import uwsgi # noqa: F401 except ImportError: return False else: return True @pytest.hookimpl() def pytest_sessionfinish(session, exitstatus): if under_uwsgi(): try: script_path = Path(os.environ["TMPDIR"], "return_pytest_exit_code.py") except KeyError: warnings.warn( "Pytest could not find tox 'TMPDIR' in the environment," " make sure the variable is set in the project tox" " config if you are running under tox.", stacklevel=2, ) else: with open(script_path, mode="w") as f: f.write(f"import sys; sys.exit({exitstatus})") @pytest.fixture(scope="class") def redis_server(xprocess): package_name = "redis" pytest.importorskip( modname=package_name, reason=f"could not find python package {package_name}" ) if os.environ.get("CI", "false") == "true": yield return class Starter(ProcessStarter): pattern = "[Rr]eady to accept connections" args = ["redis-server", "--port 6360"] def startup_check(self): out = subprocess.run( ["redis-cli", "-p", "6360", "ping"], stdout=subprocess.PIPE ) return out.stdout == b"PONG\n" xprocess.ensure(package_name, Starter) yield xprocess.getinfo(package_name).terminate() @pytest.fixture(scope="class") def memcached_server(xprocess): package_name = "pylibmc" pytest.importorskip( modname=package_name, reason=f"could not find python package {package_name}" ) if os.environ.get("CI", "false") == "true": yield return class Starter(ProcessStarter): pattern = "server listening" args = ["memcached", "-vv", "-p", "11212"] def startup_check(self): out = subprocess.run(["memcached", "-p", "11212"], stderr=subprocess.PIPE) return b"Address already" in out.stderr xprocess.ensure(package_name, Starter) yield xprocess.getinfo(package_name).terminate() @pytest.fixture(scope="class") def valkey_server(xprocess): package_name = "valkey" pytest.importorskip( modname=package_name, reason=f"could not find python package {package_name}" ) if os.environ.get("CI", "false") == "true": yield return class Starter(ProcessStarter): pattern = "[Rr]eady to accept connections" args = ["valkey-server", "--port 6370"] def startup_check(self): out = subprocess.run( ["valkey-cli", "-p", "6370", "ping"], stdout=subprocess.PIPE ) return out.stdout == b"PONG\n" xprocess.ensure(package_name, Starter) yield xprocess.getinfo(package_name).terminate() @pytest.fixture( params=[None, "test-key-prefix:"], ids=["no_key_prefix", "with_key_prefix"] ) def key_prefix(request): """Runs dependent tests once without a key_prefix and once with one set, so backends that support key_prefix are exercised in both configurations. """ return request.param class TestData: """This class centralizes all data samples used in tests""" sample_numbers = [0, 10, 1024000, 9, 5000000000000, 99, 738, 2000000] sample_pairs = { "128": False, "beef": True, "crevettes": {}, "1024": "spam", "bacon": "eggs", "sausage": 2048, "3072": [], "brandy": [{}, "fried eggs"], "lobster": ["baked beans", [512]], "4096": {"sauce": [], 256: "truffle"}, } cachelib-0.17.0/tests/delete_many_with_prefix.py000066400000000000000000000007271524271132000217460ustar00rootroot00000000000000from conftest import TestData class DeleteManyWithPrefixTests(TestData): """Tests for the 'delete_many' method when a key prefix is used""" def test_delete_many_with_prefix(self): cache = self.cache_factory(key_prefix="test_prefix:") cache.set_many({"foo": 1, "bar": 2, "baz": 3}) result = cache.delete_many("foo", "bar", "baz") assert result == ["foo", "bar", "baz"] assert not any(cache.get_many("foo", "bar", "baz")) cachelib-0.17.0/tests/has.py000066400000000000000000000005321524271132000156150ustar00rootroot00000000000000from conftest import TestData class HasTests(TestData): """Tests for the optional 'has' method specified by BaseCache""" def test_has(self): cache = self.cache_factory() assert cache.set_many(self.sample_pairs) for k in self.sample_pairs: assert cache.has(k) assert not cache.has("unknown") cachelib-0.17.0/tests/serializer.py000066400000000000000000000031441524271132000172150ustar00rootroot00000000000000from conftest import TestData from cachelib.serializers import JSONSerializer class SerializerTests(TestData): """A set of tests to run on serializers used by caches""" def test_serializer_injection_roundtrip(self): cache = self.cache_factory() cache.serializer = JSONSerializer() assert cache.set("key", {"a": 1, "b": [1, 2, 3]}) assert cache.get("key") == {"a": 1, "b": [1, 2, 3]} def test_serializer_injection_set_many(self): cache = self.cache_factory() cache.serializer = JSONSerializer() pairs = {"k1": "hello", "k2": 42, "k3": [True, None]} assert cache.set_many(pairs) assert cache.get_many(*pairs) == list(pairs.values()) def test_serializer_is_stored_on_instance(self): serializer = JSONSerializer() cache = self.cache_factory() cache.serializer = serializer assert isinstance(cache.serializer, JSONSerializer) def test_serializer_injection_add(self): cache = self.cache_factory() cache.serializer = JSONSerializer() assert cache.add("key", {"a": 1}) assert cache.get("key") == {"a": 1} assert not cache.add("key", {"b": 2}) def test_serializer_injection_get_dict(self): cache = self.cache_factory() cache.serializer = JSONSerializer() pairs = {"k1": "hello", "k2": 42} cache.set_many(pairs) assert cache.get_dict(*pairs) == pairs def test_no_serializer_uses_default(self): cache = self.cache_factory() assert cache.set("key", b"raw bytes") assert cache.get("key") == b"raw bytes" cachelib-0.17.0/tests/test_base_cache.py000066400000000000000000000112321524271132000201350ustar00rootroot00000000000000from datetime import timedelta import pytest from cachelib import BaseCache @pytest.fixture(autouse=True) def cache_factory(request): def _factory(self, *args, **kwargs): return BaseCache(*args, **kwargs) request.cls.cache_factory = _factory class TestBaseCache: def test_get(self): cache = self.cache_factory() assert cache.get("bacon") is None def test_delete(self): cache = self.cache_factory() assert cache.delete("eggs") def test_get_many(self): cache = self.cache_factory() keys = ["bacon", "spam", "eggs"] expected = [None] * 3 assert cache.get_many(*keys) == expected def test_get_dict(self): cache = self.cache_factory() keys = ["bacon", "spam", "eggs"] expected = dict.fromkeys(keys, None) assert cache.get_dict(*keys) == expected def test_set(self): cache = self.cache_factory() assert cache.set("sausage", "tomato") def test_add(self): cache = self.cache_factory() assert cache.add("baked", "beans") def test_set_many(self): cache = self.cache_factory() keys = ["bacon", "spam", "eggs"] mapping = dict.fromkeys(keys, None) assert cache.set_many(mapping) == keys def test_delete_many(self): cache = self.cache_factory() keys = ["bacon", "spam", "eggs"] assert cache.delete_many(*keys) == keys def test_delete_many_raise_errors(self): class FailingDeleteCache(BaseCache): """Simulates a backend where deletes fail and keys remain""" def delete(self, key): return False def has(self, key): return True cache = FailingDeleteCache(ignore_delete_many_errors=False) with pytest.raises(RuntimeError, match="Failed to delete keys"): cache.delete_many("bacon", "spam") cache = FailingDeleteCache(ignore_delete_many_errors=True) assert cache.delete_many("bacon", "spam") == [] def test_has(self): cache = self.cache_factory() with pytest.raises(NotImplementedError): cache.has("lobster") def test_clear(self): cache = self.cache_factory() assert cache.clear() def test_inc(self): cache = self.cache_factory() assert cache.inc("crevettes", delta=10) == 10 def test_dec(self): cache = self.cache_factory() assert cache.dec("truffle", delta=10) == -10 @pytest.mark.parametrize( "default_timeout,input_timeout,expected", [ (42, None, 42), # None falls back to default (300, 0, 0), # explicit zero stays zero (permanent) (300, 60, 60), # explicit value is returned as-is (0, None, 0), # default_timeout=0 means permanently cached by default (300, timedelta(seconds=60), 60), # timedelta is converted to seconds (300, timedelta(minutes=2), 120), (300, timedelta(days=1), 86400), (300, timedelta(), 0), # a zero timedelta is permanent, like 0 (300, timedelta(milliseconds=500), 1), # sub-second timeouts round up (300, timedelta(seconds=1, milliseconds=200), 2), (timedelta(minutes=1), None, 60), # timedelta default (timedelta(minutes=1), 30, 30), # explicit value beats timedelta default ], ) def test_normalize_timeout(self, default_timeout, input_timeout, expected): cache = BaseCache(default_timeout=default_timeout) assert cache._normalize_timeout(input_timeout) == expected def test_default_timeout_timedelta_is_stored_as_seconds(self): cache = BaseCache(default_timeout=timedelta(minutes=5)) assert cache.default_timeout == 300 @pytest.mark.parametrize( "input_timeout,expected", [ (0.1, 1), # subsecond floats round up, not down to "never expires" (5.0, 5), (5.5, 6), ], ) def test_float_timeout_is_deprecated_and_rounded_up(self, input_timeout, expected): cache = self.cache_factory() with pytest.warns(DeprecationWarning, match="Float timeouts are deprecated"): assert cache._normalize_timeout(input_timeout) == expected def test_float_default_timeout_is_deprecated(self): with pytest.warns(DeprecationWarning, match="Float timeouts are deprecated"): cache = BaseCache(default_timeout=1.5) assert cache.default_timeout == 2 def test_invalid_timeout_type_raises(self): cache = self.cache_factory() with pytest.raises(TypeError, match="timeout must be an int"): cache._normalize_timeout("60") cachelib-0.17.0/tests/test_dynamodb_cache.py000066400000000000000000000054371524271132000210320ustar00rootroot00000000000000import pytest from clear import ClearTests from common import CommonTests from delete_many_with_prefix import DeleteManyWithPrefixTests from has import HasTests from serializer import SerializerTests from cachelib import DynamoDbCache @pytest.fixture(autouse=True, params=[DynamoDbCache]) def cache_factory(request, key_prefix): import warnings warnings.filterwarnings( action="ignore", message="unclosed", category=ResourceWarning ) def _factory(self, *args, **kwargs): import os os.environ.setdefault("AWS_ACCESS_KEY_ID", "RANDOM") os.environ.setdefault("AWS_SECRET_ACCESS_KEY", "RANDOM") kwargs["endpoint_url"] = "http://localhost:8000" kwargs["region_name"] = "us-west-2" kwargs.setdefault("key_prefix", key_prefix) rc = request.param(*args, **kwargs) rc.clear() return rc if request.cls: request.cls.cache_factory = _factory @pytest.mark.network class TestDynamoDbCache( CommonTests, ClearTests, HasTests, DeleteManyWithPrefixTests, SerializerTests ): pass def _fast_fail_config(): import os from botocore.config import Config os.environ.setdefault("AWS_ACCESS_KEY_ID", "RANDOM") os.environ.setdefault("AWS_SECRET_ACCESS_KEY", "RANDOM") return Config(connect_timeout=0.5, read_timeout=0.5, retries={"max_attempts": 0}) class TestDynamoDbCacheCheckConnection: # nothing listens on port 1, so load() fails with a BotoCoreError def test_unreachable_server_raises_when_enabled(self): with pytest.raises(RuntimeError, match="could not connect to DynamoDB"): DynamoDbCache( endpoint_url="http://127.0.0.1:1", region_name="us-west-2", check_connection=True, config=_fast_fail_config(), ) def test_unreachable_server_is_lazy_by_default(self): cache = DynamoDbCache( endpoint_url="http://127.0.0.1:1", region_name="us-west-2", config=_fast_fail_config(), ) assert isinstance(cache, DynamoDbCache) @pytest.mark.network class TestDynamoDbCacheCheckConnectionLive: @pytest.mark.parametrize("check_connection", [True, False]) def test_missing_table_is_created_regardless_of_flag(self, check_connection): import uuid table_name = f"check-connection-{uuid.uuid4().hex}" cache = DynamoDbCache( table_name=table_name, endpoint_url="http://localhost:8000", region_name="us-west-2", check_connection=check_connection, config=_fast_fail_config(), ) try: assert cache.set("check-connection-key", "value") assert cache.get("check-connection-key") == "value" finally: cache._table.delete() cachelib-0.17.0/tests/test_file_system_cache.py000066400000000000000000000157271524271132000215630ustar00rootroot00000000000000import hashlib import os from time import sleep from unittest.mock import Mock from unittest.mock import patch import pytest from clear import ClearTests from common import CommonTests from has import HasTests from serializer import SerializerTests from cachelib import FileSystemCache from cachelib.serializers import BaseSerializer class SillySerializer(BaseSerializer): """A pointless serializer only for testing""" def dump(self, value, fs): fs.write(f"{repr(value)}{os.linesep}".encode()) def load(self, fs): try: loaded = eval(fs.readline().decode()) # When all file content has been read eval will # turn the EOFError into SyntaxError which is not # handled by cachelib except SyntaxError as e: raise EOFError from e return loaded class CustomSerializerCache(FileSystemCache): """Our custom cache client with non-default serializer""" # overwrite serializer serializer = SillySerializer() def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) class CustomHashingMethodCache(FileSystemCache): def __init__(self, *args, **kwargs): super().__init__(*args, hash_method=hashlib.sha256, **kwargs) @pytest.fixture( autouse=True, params=[ FileSystemCache, CustomSerializerCache, CustomHashingMethodCache, ], ) def cache_factory(request, tmpdir): def _factory(self, *args, **kwargs): client = request.param(tmpdir, *args, **kwargs) return client request.cls.cache_factory = _factory class TestFileSystemCache(CommonTests, ClearTests, HasTests, SerializerTests): # override parent sample since these must implement buffer interface sample_pairs = { "bacon": "eggs", "sausage": "spam", "brandy": "lobster", "truffle": "wine", "sauce": "truffle pate", "cravettes": "mournay sauce", } def test_EOFError(self, caplog): cache = self.cache_factory(threshold=1) assert cache.set_many(self.sample_pairs) file_names = [cache._get_filename(k) for k in self.sample_pairs.keys()] # truncate files to erase content for fpath in file_names: open(fpath, "w").close() assert cache.set("test", "EOFError") assert "Exception raised" in caplog.text def test_threshold(self): threshold = len(self.sample_pairs) // 2 cache = self.cache_factory(threshold=threshold) assert cache.set_many(self.sample_pairs) assert cache._file_count == 4 # due to autouse=True a single tmpdir is used # for each test so we need to clear it assert cache.clear() cache = self.cache_factory(threshold=0) assert cache.set_many(self.sample_pairs) assert not cache._file_count def test_file_counting(self): cache = self.cache_factory() assert cache.set_many(self.sample_pairs) assert cache._file_count == len(self.sample_pairs) assert cache.clear() assert cache._file_count == 0 def test_file_counting_on_override(self): cache = self.cache_factory() assert cache.set_many(self.sample_pairs) assert cache._file_count == len(self.sample_pairs) assert cache.set_many(self.sample_pairs) # count should remain the same assert cache._file_count == len(self.sample_pairs) def test_prune_old_entries(self): threshold = 2 * len(self.sample_pairs) - 1 cache = self.cache_factory(threshold=threshold) for k, v in self.sample_pairs.items(): assert cache.set(f"{k}-t1", v, timeout=1) assert cache.set(f"{k}-t10", v, timeout=10) sleep(3) for k, v in self.sample_pairs.items(): assert cache.set(k, v) assert cache.has(f"{k}-t10") assert not cache.has(f"{k}-t1") def test_run_safely_succeeds_on_first_try(self): """_run_safely returns the function's result when no error is raised.""" cache = self.cache_factory() result = cache._run_safely(lambda: 42) assert result == 42 def test_run_safely_retries_on_permission_error(self): """ _run_safely retries when PermissionError is raised (e.g. Windows NTFS race). """ cache = self.cache_factory() flaky = Mock( side_effect=[PermissionError("locked"), PermissionError("locked"), "ok"] ) with patch("cachelib.file.sleep") as mock_sleep: result = cache._run_safely(flaky) assert result == "ok" assert flaky.call_count == 3 assert mock_sleep.call_count == 2 def test_run_safely_exhausts_retries_and_returns_none(self): """ _run_safely returns None when PermissionError persists beyond max_sleep_time. """ cache = self.cache_factory() def always_fails(): raise PermissionError("locked") with patch("cachelib.file.sleep"): result = cache._run_safely(always_fails) assert result is None def test_run_safely_does_not_retry_other_errors(self): """_run_safely does not catch non-PermissionError exceptions.""" cache = self.cache_factory() def raises_file_not_found(): raise FileNotFoundError("missing") with pytest.raises(FileNotFoundError): cache._run_safely(raises_file_not_found) def test_run_safely_exponential_backoff(self): """_run_safely doubles the wait_step on each retry.""" cache = self.cache_factory() flaky = Mock( side_effect=[ PermissionError("locked"), PermissionError("locked"), PermissionError("locked"), "ok", ] ) with patch("cachelib.file.sleep") as mock_sleep: cache._run_safely(flaky) sleep_calls = [c.args[0] for c in mock_sleep.call_args_list] # Each wait should double the previous assert sleep_calls[1] == sleep_calls[0] * 2 assert sleep_calls[2] == sleep_calls[1] * 2 def test_mgmt_element_set_not_counted(self, tmpdir): """set with mgmt_element=True should not affect _file_count.""" cache = FileSystemCache(tmpdir) before = cache._file_count cache.set("__internal_key", 42, mgmt_element=True) assert cache._file_count == before def test_mgmt_element_delete_not_counted(self, tmpdir): """delete with mgmt_element=True should not affect _file_count.""" cache = FileSystemCache(tmpdir) cache.set("__internal_key", 42, mgmt_element=True) before = cache._file_count cache.delete("__internal_key", mgmt_element=True) assert cache._file_count == before def test_has_on_expired_key_returns_false(self, tmpdir): from time import sleep cache = FileSystemCache(tmpdir) cache.set("expiring", "value", timeout=1) sleep(2) assert cache.has("expiring") is False cachelib-0.17.0/tests/test_interface_uniformity.py000066400000000000000000000017541524271132000223350ustar00rootroot00000000000000# type: ignore import inspect import pytest from cachelib import BaseCache from cachelib import FileSystemCache from cachelib import MemcachedCache from cachelib import RedisCache from cachelib import SimpleCache @pytest.fixture(autouse=True) def create_cache_list(request, tmpdir): mc = MemcachedCache(servers=["127.0.0.1:11212"]) mc.clear() rc = RedisCache(port=6360) rc._write_client.flushdb() request.cls.cache_list = [FileSystemCache(tmpdir), mc, rc, SimpleCache()] @pytest.mark.network @pytest.mark.usefixtures("redis_server", "memcached_server") class TestInterfaceUniformity: def test_types_have_all_base_methods(self): public_api_methods = [ meth for meth in inspect.getmembers(BaseCache, predicate=inspect.isfunction) if not meth[0].startswith("_") ] for cache_type in self.cache_list: for meth in public_api_methods: assert hasattr(cache_type, meth[0]) and callable(meth[1]) cachelib-0.17.0/tests/test_memcached_cache.py000066400000000000000000000140461524271132000211370ustar00rootroot00000000000000import queue import threading import pytest from clear import ClearTests from common import CommonTests from delete_many_with_prefix import DeleteManyWithPrefixTests from has import HasTests from cachelib import MemcachedCache def skip_unless_pooled(cache): # only pylibmc's ClientPool has reserve()/queue.Empty semantics; # python-memcached and libmc have no capped reservation pool if not hasattr(cache._client, "reserve"): pytest.skip("memcached client library does not support connection pooling") @pytest.fixture( params=["pylibmc", "memcache"], ids=["pylibmc", "python-memcached"], ) def memcache_client_lib(request): pytest.importorskip(request.param, reason=f"{request.param} not installed") return request.param @pytest.fixture(autouse=True) def cache_factory(request, key_prefix, memcache_client_lib): caches = [] def _factory(self, *args, **kwargs): kwargs.setdefault("servers", ["127.0.0.1:11212"]) kwargs.setdefault("key_prefix", key_prefix) kwargs.setdefault("memcache_client_lib", memcache_client_lib) mc = MemcachedCache(*args, **kwargs) mc.clear() caches.append(mc) return mc request.cls.cache_factory = _factory yield for mc in caches: # close python-memcached sockets to avoid ResourceWarning noise disconnect = getattr(mc._client, "disconnect_all", None) if disconnect is not None: disconnect() @pytest.mark.network @pytest.mark.usefixtures("memcached_server") class TestMemcachedCache(CommonTests, ClearTests, HasTests, DeleteManyWithPrefixTests): def test_bool_roundtrip(self): # pylibmc/libmc flag bool as int on the wire so bools round-trip # as 1/0; python-memcached pickles them, preserving bool. Either # way the value must compare equal to 1/0 and be int-like. cache = self.cache_factory() assert cache.set("true-key", True) value = cache.get("true-key") assert value == 1 assert isinstance(value, int) assert cache.set("false-key", False) value = cache.get("false-key") assert value == 0 assert isinstance(value, int) def test_pool_enforces_capacity_and_blocking_waits_for_release(self): cache = self.cache_factory(pool_size=2, pool_blocking=True) skip_unless_pooled(cache) acquired = [threading.Event(), threading.Event()] release = threading.Event() held_clients = [None, None] def hold_a_slot(index): with cache._client_context() as client: held_clients[index] = client acquired[index].set() release.wait(timeout=5) holders = [threading.Thread(target=hold_a_slot, args=(i,)) for i in range(2)] for holder in holders: holder.start() for event in acquired: # wait until both holders have acquired their slots assert event.wait(timeout=5), "holder never acquired its slot" # Two reservations are different from each other, # not the same client shared. assert held_clients[0] is not held_clients[1] # pool_size=2 is now fully exhausted, a non-blocking reservation must # fail immediately with queue.Empty. with pytest.raises(queue.Empty): with cache._client.reserve(block=False): pass # With block=True reservation should wait rather than raise or return waiter_acquired = threading.Event() def wait_for_a_slot(): with cache._client_context(): waiter_acquired.set() waiter = threading.Thread(target=wait_for_a_slot) waiter.start() # check waiter can't acquire a client before it is released. assert not waiter_acquired.wait(timeout=0.2), ( "waiter acquired a client before any slot was released" ) release.set() # free both held slots # wait until the waiter has acquired a slot after the release assert waiter_acquired.wait(timeout=5), "waiter never acquired after release" for holder in holders: holder.join() waiter.join() def test_non_blocking_pool_raises_when_exhausted(self): cache = self.cache_factory(pool_size=1, pool_blocking=False) skip_unless_pooled(cache) holder_acquired = threading.Event() released = threading.Event() def hold_the_only_client(): with cache._client_context(): holder_acquired.set() released.wait(timeout=5) # keep the single slot busy holder = threading.Thread(target=hold_the_only_client) holder.start() holder_acquired.wait( timeout=5 ) # wait until the holder has acquired the only slot try: with pytest.raises(queue.Empty): with cache._client_context(): pass # 0 free slots left, will raise queue.Empty immediately finally: released.set() holder.join() # After the holder releases the only slot, this should work with cache._client_context() as client: assert client is not None class TestMemcachedCacheCheckConnection: # the connection check is only implemented for the pylibmc client def test_unreachable_server_raises_when_enabled(self): pytest.importorskip("pylibmc") with pytest.raises(RuntimeError, match="could not connect to memcached"): MemcachedCache(servers=["127.0.0.1:1"], check_connection=True) def test_unreachable_server_is_lazy_by_default(self): cache = MemcachedCache(servers=["127.0.0.1:1"]) assert isinstance(cache, MemcachedCache) @pytest.mark.network @pytest.mark.usefixtures("memcached_server") class TestMemcachedCacheCheckConnectionLive: def test_reachable_server_constructs_and_works(self): cache = MemcachedCache(servers=["127.0.0.1:11212"], check_connection=True) assert cache.set("check-connection-key", "value") assert cache.get("check-connection-key") == "value" cachelib-0.17.0/tests/test_mongodb_cache.py000066400000000000000000000041401524271132000206500ustar00rootroot00000000000000import pymongo import pytest from clear import ClearTests from common import CommonTests from has import HasTests from serializer import SerializerTests from cachelib.mongodb import MongoDbCache @pytest.fixture(autouse=True, params=[MongoDbCache]) def cache_factory(request, key_prefix): client = pymongo.MongoClient() def _factory(self, *args, **kwargs): kwargs["client"] = client kwargs["db"] = "test-db" kwargs["collection"] = "test-collection" kwargs.setdefault("key_prefix", key_prefix) rc = request.param(*args, **kwargs) index_info = rc.client.index_information() all_keys = { subkey[0] for value in index_info.values() for subkey in value["key"] } assert "id" in all_keys, "Failed to create index on 'id' field" rc.clear() return rc if request.cls: request.cls.cache_factory = _factory yield client.close() @pytest.mark.network class TestMongoDbCache(CommonTests, ClearTests, HasTests, SerializerTests): pass class TestMongoDbCacheCheckConnection: # nothing listens on port 1; short timeouts keep the ping failure fast def test_unreachable_server_raises_when_enabled(self): client = pymongo.MongoClient( "mongodb://127.0.0.1:1/", serverSelectionTimeoutMS=100, connectTimeoutMS=100, ) try: with pytest.raises(RuntimeError, match="could not connect to MongoDB"): MongoDbCache(client=client, check_connection=True) finally: client.close() @pytest.mark.network class TestMongoDbCacheCheckConnectionLive: def test_reachable_server_constructs_and_works(self): client = pymongo.MongoClient() try: cache = MongoDbCache( client=client, db="test-db", collection="test-collection", check_connection=True, ) assert cache.set("check-connection-key", "value") assert cache.get("check-connection-key") == "value" finally: client.close() cachelib-0.17.0/tests/test_redis_cache.py000066400000000000000000000047551524271132000203450ustar00rootroot00000000000000import pytest from clear import ClearTests from common import CommonTests from delete_many_with_prefix import DeleteManyWithPrefixTests from has import HasTests from serializer import SerializerTests from cachelib import RedisCache from cachelib.serializers import BaseRedisSerializer class SillySerializer(BaseRedisSerializer): """A pointless serializer only for testing""" def dumps(self, value): return repr(value).encode() def loads(self, bvalue): if bvalue is None: return None return eval(bvalue.decode()) class CustomCache(RedisCache): """Our custom cache client with non-default serializer""" # overwrite serializer serializer = SillySerializer() def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) @pytest.fixture(autouse=True, params=[RedisCache, CustomCache]) def cache_factory(request, key_prefix): def _factory(self, *args, **kwargs): kwargs.setdefault("key_prefix", key_prefix) rc = request.param(*args, port=6360, **kwargs) rc._write_client.flushdb() return rc request.cls.cache_factory = _factory def my_callable_key() -> str: return "bacon" @pytest.mark.network @pytest.mark.usefixtures("redis_server") class TestRedisCache( CommonTests, ClearTests, HasTests, DeleteManyWithPrefixTests, SerializerTests ): def test_callable_key(self): cache = self.cache_factory() assert cache.set(my_callable_key, "sausages") assert cache.get(my_callable_key) == "sausages" spam_key = lambda: "spam" # noqa: E731 assert cache.set(spam_key, "sausages") assert cache.get(spam_key) == "sausages" class TestRedisCacheCheckConnection: # nothing listens on port 1, so connections are refused immediately def test_unreachable_server_raises_when_enabled(self): with pytest.raises(RuntimeError, match="could not connect to Redis"): RedisCache(port=1, check_connection=True, socket_connect_timeout=0.1) def test_unreachable_server_is_lazy_by_default(self): cache = RedisCache(port=1, socket_connect_timeout=0.1) assert isinstance(cache, RedisCache) @pytest.mark.network @pytest.mark.usefixtures("redis_server") class TestRedisCacheCheckConnectionLive: def test_reachable_server_constructs_and_works(self): cache = RedisCache(port=6360, check_connection=True) assert cache.set("check-connection-key", "value") assert cache.get("check-connection-key") == "value" cachelib-0.17.0/tests/test_serializers.py000066400000000000000000000103521524271132000204360ustar00rootroot00000000000000import io import pickle import pytest from cachelib.serializers import BaseRedisSerializer from cachelib.serializers import BaseSerializer from cachelib.serializers import JSONSerializer from cachelib.serializers import RedisSerializer from cachelib.serializers import ValkeySerializer PICKLE_VALUES = [ None, True, False, 0, 42, -1, 3.14, "", "hello", b"raw bytes", [], [1, 2, 3], (1, 2), {}, {"a": 1, "b": [True, None]}, ] JSON_VALUES = [v for v in PICKLE_VALUES if not isinstance(v, (bytes, tuple))] class _Unpicklable: """Helper that always raises PicklingError""" def __reduce__(self): raise pickle.PicklingError("cannot pickle") class TestBaseSerializer: @pytest.fixture(autouse=True) def setup(self): self.s = BaseSerializer() @pytest.mark.parametrize("value", PICKLE_VALUES) def test_dumps_loads_roundtrip(self, value): assert self.s.loads(self.s.dumps(value)) == value @pytest.mark.parametrize("value", PICKLE_VALUES) def test_dump_load_roundtrip(self, value): buf = io.BytesIO() self.s.dump(value, buf) buf.seek(0) assert self.s.load(buf) == value def test_dumps_returns_none_on_pickle_error(self): assert self.s.dumps(_Unpicklable()) is None def test_loads_returns_none_on_corrupt_data(self): assert self.s.loads(b"not valid pickle data") is None def test_load_returns_none_on_corrupt_stream(self): assert self.s.load(io.BytesIO(b"not valid pickle data")) is None class TestBaseRedisSerializer: @pytest.fixture(autouse=True) def setup(self): self.s = BaseRedisSerializer() @pytest.mark.parametrize("value", PICKLE_VALUES) def test_dumps_loads_roundtrip(self, value): assert self.s.loads(self.s.dumps(value)) == value def test_dumps_adds_bang_prefix(self): assert self.s.dumps("hello").startswith(b"!") def test_loads_none_returns_none(self): assert self.s.loads(None) is None @pytest.mark.parametrize("n", [0, 1, 42, -5]) def test_loads_integer_string_returns_int(self, n): # Redis stores counters as plain integers without prefix assert self.s.loads(str(n).encode()) == n def test_loads_legacy_bytes_returns_raw(self): # Before 0.8, values were stored without the "!" prefix raw = b"legacy data without prefix" assert self.s.loads(raw) == raw def test_loads_corrupt_prefixed_data_returns_none(self): assert self.s.loads(b"!" + b"corrupt pickle") is None @pytest.mark.parametrize("cls", [RedisSerializer, ValkeySerializer]) class TestRedisCompatibleSerializers: @pytest.mark.parametrize("value", PICKLE_VALUES) def test_roundtrip(self, cls, value): s = cls() assert s.loads(s.dumps(value)) == value class TestJSONSerializer: @pytest.fixture(autouse=True) def setup(self): self.s = JSONSerializer() @pytest.mark.parametrize("value", JSON_VALUES) def test_dumps_loads_roundtrip(self, value): assert self.s.loads(self.s.dumps(value)) == value @pytest.mark.parametrize("value", JSON_VALUES) def test_dump_load_roundtrip(self, value): buf = io.BytesIO() self.s.dump(value, buf) buf.seek(0) assert self.s.load(buf) == value def test_dumps_returns_bytes(self): assert isinstance(self.s.dumps({"key": "value"}), bytes) def test_dump_writes_bytes_to_stream(self): buf = io.BytesIO() self.s.dump({"key": "value"}, buf) assert isinstance(buf.getvalue(), bytes) assert buf.getvalue() @pytest.mark.parametrize("value", [b"raw bytes", _Unpicklable()]) def test_dumps_non_serializable_returns_none(self, value): assert self.s.dumps(value) is None @pytest.mark.parametrize( "raw", [b'"hello"', '"hello"', bytearray(b'"hello"')], ids=["bytes", "str", "bytearray"], ) def test_loads_accepts_bytes_str_bytearray(self, raw): assert self.s.loads(raw) == "hello" def test_loads_invalid_json_returns_none(self): assert self.s.loads(b"not valid json {{{{") is None def test_load_invalid_stream_returns_none(self): assert self.s.load(io.BytesIO(b"not valid json {{{{")) is None cachelib-0.17.0/tests/test_simple_cache.py000066400000000000000000000176231524271132000205260ustar00rootroot00000000000000import threading from time import sleep import pytest from clear import ClearTests from common import CommonTests from has import HasTests from serializer import SerializerTests from cachelib import SimpleCache from cachelib.serializers import BaseSerializer class SillySerializer(BaseSerializer): """A pointless serializer only for testing""" def dumps(self, value): return repr(value).encode() def loads(self, bvalue): return eval(bvalue.decode()) class CustomCache(SimpleCache): """Our custom cache client with non-default serializer""" # overwrite serializer serializer = SillySerializer() def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) @pytest.fixture(autouse=True, params=[SimpleCache, CustomCache]) def cache_factory(request): def _factory(self, *args, **kwargs): return request.param(*args, **kwargs) request.cls.cache_factory = _factory class TestSimpleCache(CommonTests, HasTests, ClearTests, SerializerTests): def test_threshold(self): threshold = len(self.sample_pairs) // 2 cache = self.cache_factory(threshold=threshold) assert cache.set_many(self.sample_pairs) assert abs(len(cache._cache) - threshold) <= 1 def test_prune_old_entries(self): threshold = 2 * len(self.sample_pairs) - 1 cache = self.cache_factory(threshold=threshold) for k, v in self.sample_pairs.items(): assert cache.set(f"{k}-t1", v, timeout=1) assert cache.set(f"{k}-t5", v, timeout=5) sleep(2) for k, v in self.sample_pairs.items(): assert cache.set(k, v) assert f"{k}-t5" in cache._cache.keys() assert f"{k}-t1" not in cache._cache.keys() def test_threshold_zero_defaults_to_500(self): """SimpleCache(threshold=0) should silently use 500, not 0.""" cache = self.cache_factory(threshold=0) assert cache._threshold == 500 def test_add_on_expired_key_succeeds(self): """add() on a key whose TTL has elapsed should succeed.""" cache = self.cache_factory() cache.set("key", "original", timeout=1) sleep(2) assert cache.add("key", "new") is True assert cache.get("key") == "new" def test_has_on_expired_key_returns_false(self): cache = self.cache_factory() cache.set("key", "value", timeout=1) sleep(2) assert cache.has("key") is False def test_delete_nonexistent_returns_false(self): cache = self.cache_factory() assert cache.delete("does_not_exist") is False def test_concurrent_set_no_data_corruption(self): """Concurrent writes of distinct keys must preserve every value.""" cache = self.cache_factory() errors = [] result_lock = threading.Lock() num_threads = 10 writes_per_thread = 50 barrier = threading.Barrier(num_threads) expected = { f"thread-{thread_id}-key-{i}": thread_id * 1000 + i for thread_id in range(num_threads) for i in range(writes_per_thread) } def writer(thread_id: int) -> None: barrier.wait() for i in range(writes_per_thread): key = f"thread-{thread_id}-key-{i}" try: cache.set(key, expected[key]) except Exception as exc: with result_lock: errors.append(exc) threads = [ threading.Thread(target=writer, args=(t,)) for t in range(num_threads) ] for t in threads: t.start() for t in threads: t.join() assert not errors, f"Exceptions raised during concurrent set: {errors}" assert len(cache._cache) == len(expected) assert cache.get_dict(*expected.keys()) == expected def test_concurrent_inc_is_consistent(self): """Concurrent increments on a single key must not lose updates.""" cache = self.cache_factory() class _SlowSerializer: def __init__(self, inner): self._inner = inner def dumps(self, value): sleep(0.0001) return self._inner.dumps(value) def loads(self, bvalue): return self._inner.loads(bvalue) cache.serializer = _SlowSerializer(type(cache).serializer) cache.set("counter", 0) num_threads = 20 increments_each = 50 barrier = threading.Barrier(num_threads) def incrementer() -> None: barrier.wait() for _ in range(increments_each): cache.inc("counter", 1) threads = [threading.Thread(target=incrementer) for _ in range(num_threads)] for t in threads: t.start() for t in threads: t.join() assert cache.get("counter") == num_threads * increments_each def test_concurrent_add_only_one_winner(self): """Only one thread must win the race on add() for a fresh key.""" cache = self.cache_factory() results = [] lock = threading.Lock() def adder() -> None: result = cache.add("race-key", 1) with lock: results.append(result) threads = [threading.Thread(target=adder) for _ in range(20)] for t in threads: t.start() for t in threads: t.join() winners = [r for r in results if r is True] assert len(winners) == 1, f"Expected exactly 1 winner, got {len(winners)}" def test_concurrent_get_set_preserves_valid_shared_values(self): """Concurrent readers must only observe complete values.""" cache = self.cache_factory() class _SlowSerializer: def __init__(self, inner): self._inner = inner def dumps(self, value): sleep(0.0001) return self._inner.dumps(value) def loads(self, bvalue): sleep(0.0001) return self._inner.loads(bvalue) cache.serializer = _SlowSerializer(type(cache).serializer) initial_value = ("initial", -1) cache.set("shared", initial_value) errors = [] observed_values = [] result_lock = threading.Lock() num_readers = 5 num_writers = 5 writes_per_writer = 100 barrier = threading.Barrier(num_readers + num_writers) written_values = { (thread_id, i) for thread_id in range(num_writers) for i in range(writes_per_writer) } expected_values = {initial_value} | written_values def reader() -> None: barrier.wait() for _ in range(writes_per_writer): try: value = cache.get("shared") with result_lock: observed_values.append(value) except Exception as exc: with result_lock: errors.append(exc) def writer(thread_id: int) -> None: barrier.wait() for i in range(writes_per_writer): try: cache.set("shared", (thread_id, i)) except Exception as exc: with result_lock: errors.append(exc) threads = [threading.Thread(target=reader) for _ in range(num_readers)] threads += [ threading.Thread(target=writer, args=(thread_id,)) for thread_id in range(num_writers) ] for t in threads: t.start() for t in threads: t.join() assert not errors, f"Exceptions during concurrent get/set: {errors}" assert observed_values assert set(observed_values) <= expected_values assert len(cache._cache) == 1 assert cache.has("shared") is True assert cache.get("shared") in written_values cachelib-0.17.0/tests/test_uwsgi_cache.py000066400000000000000000000021471524271132000203660ustar00rootroot00000000000000import pytest from clear import ClearTests from common import CommonTests from has import HasTests from cachelib import UWSGICache from cachelib.serializers import BaseSerializer class SillySerializer(BaseSerializer): """A pointless serializer only for testing""" def dumps(self, value): return repr(value).encode() def loads(self, bvalue): return eval(bvalue.decode()) class CustomCache(UWSGICache): """Our custom cache client with non-default serializer""" # overwrite serializer serializer = SillySerializer() def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) @pytest.fixture(autouse=True, params=[UWSGICache, CustomCache]) def cache_factory(request): def _factory(self, *args, **kwargs): uwc = request.param(*args, **kwargs) uwc.clear() return uwc 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Make sure to " "run pytest under uwsgi for testing UWSGICache", ) cachelib-0.17.0/tests/test_valkey_cache.py000066400000000000000000000047721524271132000205310ustar00rootroot00000000000000import pytest from clear import ClearTests from common import CommonTests from delete_many_with_prefix import DeleteManyWithPrefixTests from has import HasTests from serializer import SerializerTests from cachelib import ValkeyCache from cachelib.serializers import BaseRedisSerializer class SillySerializer(BaseRedisSerializer): """A pointless serializer only for testing""" def dumps(self, value): return repr(value).encode() def loads(self, bvalue): if bvalue is None: return None return eval(bvalue.decode()) class CustomCache(ValkeyCache): """Our custom cache client with non-default serializer""" # overwrite serializer serializer = SillySerializer() def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) @pytest.fixture(autouse=True, params=[ValkeyCache, CustomCache]) def 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