whatamithinking-protolib 1.0.0

Foundational base classes/protocols used to manage state and provide clear errors

whatamithinking-protolib

Foundational base classes and protocols for managing lifecycle state in Python objects, with clear, descriptive errors and support for both synchronous and asynchronous patterns.

• Installation
• Overview
• Modules
  • Openable
  • Connectable
  • Enableable
  • Lockable
  • Logable
• Combining Mixins
• License

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Installation

pip install whatamithinking-protolib

Requires Python 3.12+

whatamithinking-aiotools is installed automatically as a dependency (required by AsyncLockable).

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Overview

protolib provides a consistent pattern for objects with managed lifecycle states. Each module follows the same design:

• An enum describing the valid states.
• Exception classes that describe exactly what went wrong and why.
• Guard decorators (ensure_*) that protect methods from being called in an invalid state.
• State-transition decorators (opener, connector, etc.) that handle state changes automatically.
• Abstract base classes in both sync (Openable, Connectable, ...) and async (AsyncOpenable, AsyncConnectable, ...) variants.

import whatamithinking.protolib as protolib

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Modules

Openable

Manages an open/close lifecycle, suitable for resources like file handles, serial ports, or network sockets.

States — OpenStateType

State	Description
CLOSED	Initial/default state. The object is not in use.
OPENING	Transitioning to open.
OPEN	The object is open and operational.
CLOSING	Transitioning to closed.
ERROR	An error occurred during open or close.

Exceptions

Exception	Raised when...
OpenStateError	Base class for all open-state errors.
NotOpenError	A method requires OPEN state but the object is not open.
NotClosedError	open() was called but the object is not currently CLOSED.
ClosedError	A method was called while the object is CLOSED.

Guard Decorators

These decorators check state before executing the method and raise an exception if the check fails.

Decorator	Raises if...
@ensure_open	Object is not in OPEN state → NotOpenError
@ensure_closed	Object is not in CLOSED state → NotClosedError
@ensure_not_closed	Object is in CLOSED state → ClosedError

Standalone check functions (check_open, check_closed, check_not_closed) are also available for use without decorators.

State-Transition Decorators

Decorator	Usage
@opener	Apply to open(). Handles OPENING → OPEN (or ERROR) transitions. No-op if already OPEN. Requires object to be CLOSED first.
@closer	Apply to close(). Handles CLOSING → CLOSED (or ERROR) transitions. No-op if already CLOSED.

Base Classes

Openable — Synchronous. Implement open() and close(). Supports use as a context manager (with).

AsyncOpenable — Asynchronous. Implement open() and close() as coroutines. Supports use as an async context manager (async with).

Example

from typing import Optional
import whatamithinking.protolib as protolib


class MyResource(protolib.Openable):
    @protolib.opener
    def open(self, timeout: Optional[float] = None) -> None:
        # allocate resources here
        ...

    @protolib.closer
    def close(self, timeout: Optional[float] = None) -> None:
        # release resources here
        ...

    @protolib.ensure_open
    def read(self) -> bytes:
        # only runs when object is OPEN
        ...


# Using as a context manager
with MyResource() as r:
    data = r.read()

# Or manually
r = MyResource()
r.open()
try:
    data = r.read()
finally:
    r.close()

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Connectable

Manages a connect/disconnect lifecycle with support for polling-based keepalive, suitable for network clients, database connections, etc.

States — ConnectionStateType

State	Description
DISCONNECTED	Initial/default state.
CONNECTING	Transitioning to connected.
CONNECTED	The object has an active connection.
DISCONNECTING	Transitioning to disconnected.
ERROR	A connection or disconnection error occurred.

Exceptions

Exception	Raised when...
ConnectionError	Base class for all connection-related errors.
NotConnectedError	A method requires CONNECTED state but is not connected.
NotDisconnectedError	connect() was called but the object is not DISCONNECTED.
NotBadConnectionError	A method requires DISCONNECTED or ERROR state but neither applies.
DisconnectedError	A method was called while the object is DISCONNECTED.

Guard Decorators

Decorator	Raises if...
@ensure_connected	Object is not CONNECTED → NotConnectedError
@ensure_not_disconnected	Object is DISCONNECTED → DisconnectedError
@ensure_bad_connection	Object is not in DISCONNECTED or ERROR → NotBadConnectionError

Standalone check functions (check_connected, check_not_disconnected, check_bad_connection) are also available.

State-Transition Decorators

Decorator	Usage
@connector	Apply to connect(). Handles CONNECTING → CONNECTED (or ERROR) transitions. No-op if already CONNECTED. Requires DISCONNECTED state.
@disconnector	Apply to disconnect(). Handles DISCONNECTING → DISCONNECTED (or ERROR) transitions. No-op if already DISCONNECTED.
@poller	Apply to poll(). Updates state to CONNECTED or ERROR based on the method's return value.

Base Classes

Connectable — Synchronous. Implement connect(), disconnect(), and poll(). Supports use as a context manager. Includes a keepalive() method for smart polling.

AsyncConnectable — Asynchronous. Same interface with coroutines. Supports use as an async context manager.

Keepalive

Both Connectable and AsyncConnectable include a keepalive() method. Set connection_keepalive_timeout (a datetime.timedelta) on the class, then call keepalive() periodically. It will only call poll() if the connection has not been used recently — avoiding redundant I/O.

import datetime

class MyClient(protolib.Connectable):
    connection_keepalive_timeout = datetime.timedelta(seconds=30)

    @protolib.connector
    def connect(self, timeout=None): ...

    @protolib.disconnector
    def disconnect(self, timeout=None): ...

    @protolib.poller
    def poll(self, timeout=None) -> bool:
        # return True if connected, False otherwise
        return self._ping()

Example

import whatamithinking.protolib as protolib


class DatabaseClient(protolib.Connectable):
    @protolib.connector
    def connect(self, timeout=None) -> None:
        # establish connection
        ...

    @protolib.disconnector
    def disconnect(self, timeout=None) -> None:
        # teardown connection
        ...

    @protolib.poller
    def poll(self, timeout=None) -> bool:
        # return True if still connected
        return self._ping()

    @protolib.ensure_connected
    def query(self, sql: str):
        ...


with DatabaseClient() as db:
    results = db.query("SELECT 1")

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Enableable

Manages an enable/disable lifecycle, suitable for toggling features or subsystems on and off.

States — EnabledStateType

State	Description
DISABLED	Initial/default state.
ENABLED	The object is enabled and operational.

Exceptions

Exception	Raised when...
EnableableError	Base class for enable-state errors.
NotEnabledError	A method requires ENABLED state but the object is disabled.

Guard Decorators

Decorator	Raises if...
@ensure_enabled	Object is not ENABLED → NotEnabledError

A standalone check_enabled() function is also available.

State-Transition Decorators

Decorator	Usage
@enabler	Apply to enable(). Sets state to ENABLED after the method runs. No-op if already ENABLED.
@disabler	Apply to disable(). Sets state to DISABLED after the method runs. No-op if already DISABLED.

Base Classes

Enableable — Synchronous. Implement enable() and disable().

AsyncEnableable — Asynchronous. Implement enable() and disable() as coroutines.

Example

import whatamithinking.protolib as protolib


class Subsystem(protolib.Enableable):
    @protolib.enabler
    def enable(self, timeout=None) -> None:
        # start up subsystem
        ...

    @protolib.disabler
    def disable(self, timeout=None) -> None:
        # shut down subsystem
        ...

    @protolib.ensure_enabled
    def run(self) -> None:
        ...

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Lockable

Provides thread-safe (or async-safe) locking for objects using a simple method decorator.

Decorator

Decorator	Description
@locked	Acquires the object's lock before executing the method and releases it when done. Works with sync, async, generator, and async generator methods.

Base Classes

Lockable — Synchronous. Uses a threading.RLock (reentrant). Pass a custom lock to __init__, or one is created automatically.

AsyncLockable — Asynchronous. Uses an aiotools.RLock (reentrant). Pass a custom lock to __init__, or one is created automatically.

Example

import whatamithinking.protolib as protolib


class SafeCounter(protolib.Lockable):
    def __init__(self):
        super().__init__()
        self._count = 0

    @protolib.locked
    def increment(self):
        self._count += 1

    @protolib.locked
    def value(self) -> int:
        return self._count

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Logable

Provides a structured logging interface built on Python's standard logging module.

LogLevelType

An enum mirroring standard log levels: DEBUG, INFO, WARNING, ERROR, CRITICAL.

Base Class — Logable

Pass a log_name to __init__ to configure a named logger with a NullHandler (following best practices for libraries). Logging output is controlled by the consumer of the library.

Method	Description
_log(level, msg, **kwargs)	Log a message at the given level with any extra context.
_log_extra()	Override to return a dict of additional metadata included in every log record for this object.

At ERROR level or above, exc_info is automatically captured.

Example

import whatamithinking.protolib as protolib


class MyService(protolib.Logable):
    def __init__(self):
        super().__init__(log_name="myservice")

    def do_work(self):
        self._log(protolib.LogLevelType.INFO, "Starting work")
        try:
            ...
        except Exception:
            self._log(protolib.LogLevelType.ERROR, "Work failed")
            raise

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Combining Mixins

All base classes are implemented with cooperative multiple inheritance (super().__init__(**kwargs)), so they can be freely combined:

import whatamithinking.protolib as protolib


class MyDevice(protolib.Openable, protolib.Lockable, protolib.Logable):
    def __init__(self):
        super().__init__(log_name="mydevice")

    @protolib.opener
    def open(self, timeout=None) -> None:
        self._log(protolib.LogLevelType.INFO, "Opening device")
        ...

    @protolib.closer
    def close(self, timeout=None) -> None:
        self._log(protolib.LogLevelType.INFO, "Closing device")
        ...

    @protolib.locked
    @protolib.ensure_open
    def read(self) -> bytes:
        ...

leaf_method

The @leaf_method utility ensures that state-transition decorators (like @opener, @connector, @enabler) only execute their wrapping logic at the leaf (most-derived) class in an inheritance chain. This means intermediate super().open() calls in a subclass hierarchy won't trigger redundant state transitions — only the outermost call does.

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License

MIT — see LICENSE.