DiskCache Development¶
DiskCache is developed in the GitHub repository of the diskcache-community fork. Questions and ideas go to Discussions, bugs to the issue tracker.
Collaborators Welcome¶
Search issues or open a new issue to start a discussion around a bug.
Fork the GitHub repository and make your changes in a new branch.
Write a test which shows the bug was fixed.
Send a pull request. It merges once CI is green and it has been reviewed.
Requests for Contributions¶
Command-line interface. Operations to support: get, set, store, delete, expire, evict, clear, path, check, stats.
Django admin interface for cache stats and interaction.
Cache stampede barrier (source prototype in repo).
API Compatibility
Backend Compatibility
Get the Code¶
DiskCache is actively developed in a GitHub repository.
You can either clone the public repository:
$ git clone https://github.com/secondwindoss/diskcache-community.git
Download the tarball:
$ curl -OL https://github.com/secondwindoss/diskcache-community/tarball/master
Or, download the zipball:
$ curl -OL https://github.com/secondwindoss/diskcache-community/zipball/master
Installing Dependencies¶
Install development dependencies with pip:
$ pip install -r requirements-dev.txt
All packages for running tests and the lint checks will be installed.
Additional packages like pylibmc and redis along with their server
counterparts are necessary for some benchmarks.
Testing¶
DiskCache tests against five versions of Python:
CPython 3.10
CPython 3.11
CPython 3.12
CPython 3.13
CPython 3.14
Testing uses tox. If you don’t want to install all the development requirements, then, after downloading, you can simply run:
$ tox
tox -e py runs the test suite with pytest in
the current interpreter. The options in the [pytest] section of
tox.ini run the tests in parallel, collect the doctests from the .rst
files and fail the run if branch coverage of the diskcache package drops
below 98%. The lint checks are tox environments as well:
$ tox -e bluecheck,isortcheck,flake8,mypy,pylint,doc8,docs
Read the Docs builds the
docs directory from master on every push, configured by
.readthedocs.yaml with the build dependencies in
docs/requirements.txt.
Stress tests can be run independently as a module. They are kept in the
tests directory and prefixed with stress_test_. Stress tests accept many
arguments. Read the help for details.
$ python -m tests.stress_test_core --help
usage: stress_test_core.py [-h] [-n OPERATIONS] [-g GET_AVERAGE]
[-k KEY_COUNT] [-d DEL_CHANCE] [-w WARMUP]
[-e EXPIRE] [-t THREADS] [-p PROCESSES] [-s SEED]
[--no-create] [--no-delete] [-v EVICTION_POLICY]
optional arguments:
-h, --help show this help message and exit
-n OPERATIONS, --operations OPERATIONS
Number of operations to perform (default: 10000)
-g GET_AVERAGE, --get-average GET_AVERAGE
Expected value of exponential variate used for GET
count (default: 100)
-k KEY_COUNT, --key-count KEY_COUNT
Number of unique keys (default: 10)
-d DEL_CHANCE, --del-chance DEL_CHANCE
Likelihood of a key deletion (default: 0.1)
-w WARMUP, --warmup WARMUP
Number of warmup operations before timings (default:
10)
-e EXPIRE, --expire EXPIRE
Number of seconds before key expires (default: None)
-t THREADS, --threads THREADS
Number of threads to start in each process (default:
1)
-p PROCESSES, --processes PROCESSES
Number of processes to start (default: 1)
-s SEED, --seed SEED Random seed (default: 0)
--no-create Do not create operations data (default: True)
--no-delete Do not delete operations data (default: True)
-v EVICTION_POLICY, --eviction-policy EVICTION_POLICY
If stress exits normally then it worked successfully. Some stress is run by the test suite but the iteration count is limited. More rigorous testing requires increasing the iteration count to millions. At that level, it’s best to just let it run overnight. Stress testing will stop at the first failure.
Running Benchmarks¶
Running and plotting benchmarks is a two step process. Each is a Python script
in the tests directory. Benchmark scripts are prefixed with benchmark_. For
example:
$ python tests/benchmark_core.py --help
usage: benchmark_core.py [-h] [-p PROCESSES] [-n OPERATIONS] [-r RANGE]
[-w WARMUP]
optional arguments:
-h, --help show this help message and exit
-p PROCESSES, --processes PROCESSES
Number of processes to start (default: 8)
-n OPERATIONS, --operations OPERATIONS
Number of operations to perform (default: 100000)
-r RANGE, --range RANGE
Range of keys (default: 100)
-w WARMUP, --warmup WARMUP
Number of warmup operations before timings (default:
1000)
Benchmark output is stored in text files prefixed with timings_ in the
tests directory. Plotting the benchmarks is done by passing the timings file
as an argument to plot.py.