carabao 2.1.14

Moooove your data with ease using our udderly simple pipeline framework.

Carabao

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GitHub

A Python library for building robust publisher-subscriber (pub/sub) frameworks with built-in lanes for common tasks.

Features

• Core framework for managing pub/sub systems based on l2l (lane2lane)
• Live RAM / CPU / network stats in the dev UI status bar (when psutil is installed)
• Automatic configuration management with settings system
• Error handling with custom error handlers
• Clean shutdown with exit handlers
• Command-line interface for management, including interactive selection
• Support for multiple database connections (MongoDB, Redis, Elasticsearch, PostgreSQL)
• Development and production mode support
• Test mode for safe testing in production environments

Installation

pip install carabao

The interactive developer UI (the moo dev selector + live visualizer) is optional — it ships in the standard extra (à la fastapi[standard]):

pip install "carabao[standard]"

Without the extra, the core runtime (moo run, moo dev <lane>) works fully; only the interactive screens require it (you'll get a clear message prompting the install if you open them without it).

Requirements

Core: async-timeout, dnspython, fun-things, lazy-main, python-dotenv, typing-extensions, typer, lane2lane.

standard extra (interactive UI): textual, textual-slider.

Usage

Basic Usage

The framework is started using the CLI commands:

# For development mode
moo dev [queue_name]

# For production mode
moo run

No import statement is needed to start the framework.

Forms

A lane can declare a Form — typed inputs the moo dev selector prompts for before running. Define an inner Form class with annotated attributes (or Field(...) for a bounded numeric slider), then read the values anywhere via the global F:

from l2l import Lane

from carabao import F, Field


class Main(Lane):
    class Form:
        source: str = "synthetic"   # text input
        batch_size: int = 100       # number input
        threshold: float = 0.5
        dry_run: bool = False       # checkbox
        workers = Field(cast=int, default=4, min_value=1, max_value=8, step=1)  # slider

    @classmethod
    def primary(cls) -> bool:
        return True

    def process(self, value):
        if F.dry_run:
            ...
        print(F.source, F.batch_size, F.workers)

• Plain annotations become typed inputs: str → text, int/float → number, bool → checkbox.
• Field(cast=int, min_value=…, max_value=…, step=…) renders a slider.
• Read values with F.<name> (or F["<name>"]). The selector remembers the last-entered values per lane.
• Forms are optional — a lane without one just runs.

Environment Variables

Carabao uses the following environment variables:

• QUEUE_NAME: (Required) Name of the queue to consume
• CARABAO_AUTO_INITIALIZE: Controls automatic initialization
• CARABAO_AUTO_START: Controls automatic starting
• CARABAO_START_WITH_ERROR: Whether to start even if errors occurred
• SINGLE_RUN: Run once then exit if True
• TESTING: Enable debug logging if True

Environment Files

Carabao supports environment variables loaded from .env files using python-dotenv:

• .env.development: Used when running in development mode (moo dev)
• .env.release: Used when running in production mode (moo run)
• .env: Used as a fallback if neither of the above files exists

When initializing a new project with moo init, these files are automatically created.

The framework prioritizes environment variables in the following order:

1. Variables defined in the system environment
2. Variables defined in the appropriate .env file
3. Default values defined in settings

This makes it easy to maintain different configurations for development, testing, and production environments without changing code.

Settings System

Carabao uses a centralized Settings system for configuration management. The Settings class provides a unified interface for accessing configuration values throughout the application.

Setting Up settings.py

A typical settings.py file inherits from the base Settings class:

from carabao import Settings as S


class Settings(S):
    # Directory where the lane modules are stored
    LANE_DIRECTORIES = [
        "lanes",
    ]

    # Whether to run the pipeline once and exit
    SINGLE_RUN = False

    # Minimum and maximum sleep times between runs (in seconds)
    SLEEP_MIN = 1.0
    SLEEP_MAX = 3.0

    # Whether to exit when processing is finished
    EXIT_ON_FINISH = False

    # Delay before exiting (in seconds)
    EXIT_DELAY = 0.0

    # Number of parallel processes to use
    PROCESSES = 1

    # Whether to deploy safely in production
    DEPLOY_SAFELY = True

    # Custom error handler function
    @classmethod
    def error_handler(cls, error: Exception) -> None:
        """
        Custom error handler for the application.

        Args:
            error: The exception that was raised.
        """
        print(f"An error occurred: {error}")

    @classmethod
    def before_start(cls) -> None:
        """
        Hook method called before framework startup.
        """
        # Perform any necessary initialization
        pass

When you run moo init, this file is automatically created for you in the appropriate location.

Settings Configuration

1. carabao.cfg File: The framework uses a configuration file to locate your settings module:

   [directories]
   settings = src.settings  # or path.to.your.settings
   

2. Accessing Settings in Code: To use these settings in your code:

   from carabao.settings import Settings
   
   settings = Settings.get()
   value = settings.value_of("LANE_DIRECTORIES")
   

3. Available Settings: Common settings include:

   • LANE_DIRECTORIES: List of directories to search for lane definitions
   • SINGLE_RUN: Whether to run lanes once or continuously
   • SLEEP_MIN, SLEEP_MAX: Minimum and maximum sleep times between runs
   • EXIT_ON_FINISH: Whether to exit after finishing processing
   • EXIT_DELAY: Delay before exiting
   • PROCESSES: Number of parallel processes to use
   • DEPLOY_SAFELY: Whether to enforce production safety settings

   You can also define your own custom settings and access them the same way.

4. Overriding Settings: Settings can be overridden by environment variables. For example, if your setting is named SINGLE_RUN, you can override it by setting the SINGLE_RUN environment variable.

CLI Usage

Carabao provides a command-line interface for managing lanes:

# Run in production mode
moo run [queue_name]

# Run in development mode
moo dev [queue_name]

# Initialize a new project
moo init [--skip]

# Create a new lane
moo new [lane_name]

Development UI (moo dev)

Requires the standard extra (pip install "carabao[standard]").

Selector. moo dev (no queue name) opens an interactive screen:

• Lists every available primary lane — both sync (Lane) and async (AsyncLane).
• Shows the selected lane's docstring and a process tree built from its lanes field (recursive — sub-lanes appear automatically).
• Edits the lane's form fields (if it defines a Form).
• Toggles: 🧪 Test Mode and 📊 UI (the live visualizer; on by default).
• Remembers your last selection. Enter runs, Esc exits.

moo dev <queue_name> skips the selector and runs that lane directly.

Live UI. With the 📊 UI toggle on, running a lane opens a live dashboard.

The left panel (toggle with panel) has tabs:

• Lanes — the full pipeline laid out from the lanes field up front; each lane spins while active and shows its true work time when done.
• Env — the loaded .env file(s) and the env vars actually read.
• Value — the latest value flowing between lanes (type · count · bytes), as pretty JSON.

The log pane captures print(), the l2l logger, loguru, and the stdlib logging module (including non-propagating loggers):

• selectable text (drag to select, Ctrl+C to copy)
• syntax-highlighted JSON and inline markdown (**bold**, `code`, *italic*, ~~strike~~)
• per-level filter checkboxes that appear only for levels seen, each with a live count (INFO 5K); TRACE is off by default
• / to search; top-right toggles for time, lvl, rich, scroll

Breakpoints. Call self.breakpoint("label") inside process() to pause the pipeline (dev-only — a no-op under moo run). The lane shows ⏸, logs at the PAUSE level, and the timer freezes; inspect the payload in the Value tab, then press c to continue.

The status bar shows live RAM / CPU / network (when psutil is installed) and an elapsed timer — Done in <time> (green) or Error: … (red) on completion. Esc quits (confirms first if still running; the hotkey turns red once it's safe to exit).

Async lanes are detected automatically and run via asyncio; the core runtime (moo run) carries no overhead from any of the UI instrumentation.

Development

Creating a New Project

You can quickly initialize a new project with:

moo init

This will set up the necessary directory structure and configuration files.

Creating a New Lane

To create a new lane for processing:

moo new MyLaneName

This will generate a file with proper naming conventions (snake_case for the filename, PascalCase for the class name).