Conditionally select which method implementation survives class creation — decided at runtime, at startup, or at class build time.
Documentation: https://jymchng.github.io/conditional-method/
Source Code: https://github.com/jymchng/conditional-method
A decorator @cfg (aliases: @cm, @if_) that selects a
method implementation among those that are identically named on a class — during
class build time. Only the selected method remains in the class attributes, i.e.
the class is well-formed. The same decorators also work on module-level
functions and on classes themselves.
- Conditional method selection — define several implementations of the same name; the one whose condition is true survives.
- Decided when you need it — evaluate conditions at import/startup time (boolean) or lazily per call (callable).
- Clean class design — keep conditional logic out of the method body; the resulting class exposes only the chosen implementation.
- Conditional decorators —
@cfg_attrapplies decorators only when a condition is true. - Type-safe — ships
py.typedand a stable public API. - Zero runtime dependencies.
- Fast — the entire implementation is a C extension (
conditional_method._c) built against the Python Limited API (abi3): a singlecp39-abi3wheel covers CPython 3.9–3.14. - Debuggable — optional debug logging for troubleshooting.
Requirements
Python 3.9+ (CPython 3.9, 3.10, 3.11, 3.12, 3.13, 3.14).
Installation
$ pip install conditional-method
---> 100%
Successfully installed conditional-method
Example
Pick one implementation per environment
import os
from conditional_method import cfg
ENVIRONMENT = os.environ.get("ENV", "development")
class Worker:
@cfg(condition=ENVIRONMENT == "production")
def work(self, *args, **kwargs):
return "production"
@cfg(condition=ENVIRONMENT == "development")
def work(self, *args, **kwargs):
return "development"
@cfg(condition=ENVIRONMENT == "staging")
def work(self, *args, **kwargs):
return "staging"
worker = Worker()
print(worker.work())
# development
print(Worker.__dict__)
# Only ONE `work` survives — the class is well-formed:
# {'__module__': '__main__', 'work': <function Worker.work at 0x...>, ...}
Callable conditions — decided lazily, per call
import os
from conditional_method import cfg
class DatabaseConnector:
@cfg(condition=lambda f: os.environ.get("ENV") == "production")
def connect(self, config):
print("Connecting to the production database...")
@cfg(condition=lambda f: os.environ.get("ENV") == "development")
def connect(self, config):
print("Connecting to the development database...")
When a condition is false, the corresponding function/class raises TypeError
if called or instantiated. If no condition is true, the last false one is kept
as the raiser. If several conditions are true, the last one that evaluated
true wins.
Apply decorators conditionally with @cfg_attr
import os
from conditional_method import cfg_attr
os.environ["FEATURE_FLAG"] = "enabled"
@cfg_attr(
condition=os.environ.get("FEATURE_FLAG") == "enabled",
decorators=[log_calls, cache_result],
)
def experimental_feature(value): ...
Decorators are applied in order — but only when condition is true.
Fail fast at import with assert_all_true()
Conditional selection happens per name, so a decorated name only fails when
all of its candidate implementations are false — a single true candidate is
enough. assert_all_true() asserts precisely that, for every decorated name at
once: it raises TypeError naming only those names whose candidates were all
false, and returns None when every name has at least one true candidate.
For config / feature-flag modules, put it as the last module statement so a
name with no true candidate raises TypeError at import time instead of at
first call:
from conditional_method import cfg, assert_all_true
# Several candidates for one name: one true is enough, so `work` is fine.
@cfg(condition=ENV == "production")
def work(): ...
@cfg(condition=ENV == "development")
def work(): ...
# Every candidate for this name is false: this is the one that raises.
@cfg(condition=False)
def broken(): ...
assert_all_true() # TypeError: reports `broken` only, not `work`
Use _get_failed() (public alias pending_failures()) to inspect which names
are affected:
from conditional_method import _get_failed
_get_failed() # e.g. ['__main__.broken']
More examples live in the examples/ directory and in the
documentation.
Debugging
Enable debug logging by setting the environment variable
__conditional_method_debug__ to any value other than "false":
# Linux / macOS
export __conditional_method_debug__=true
# Windows
set __conditional_method_debug__=true
License
This project is licensed under the terms of the MIT license.
Links
- Documentation: https://jymchng.github.io/conditional-method/
- Changelog: CHANGELOG.md
- Security: SECURITY.md
- Source: https://github.com/jymchng/conditional-method
- PyPI: https://pypi.org/project/conditional-method
1 maintainer
Release files for conditional-method 0.3.3
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