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A Python library for building robust ETL pipelines with declarative stages and data flow management

Project description

stagecraft

A Python library for building robust ETL (Extract, Transform, Load) pipelines with declarative stages and powerful data flow management.

Features

  • Pipeline Architecture: Build complex data pipelines using declarative stages and conditions
  • Type-Safe Variables: Strongly-typed variable system with support for DataFrames, NumPy arrays, and serializable data
  • Memory Management: Built-in memory tracking and optimization for data-intensive workflows
  • Data Sources: Out-of-the-box support for CSV, JSON, and file-based data sources
  • Conditional Execution: Flexible condition system for controlling stage execution
  • Exception Handling: Comprehensive exception handling with custom wrappers
  • Logging: Configurable logging system for pipeline monitoring
  • Utility Functions: Rich set of utility functions for file operations, string manipulation, and more

Installation

pip install stagecraft

Quick Start

from stagecraft import (
    PipelineDefinition,
    PipelineRunner,
    ETLStage,
    DFVar,
)

# Define your pipeline stages
class LoadDataStage(ETLStage):
    def recipe(self, **kwargs):
        # Load your data
        pass

# Create pipeline definition
pipeline = PipelineDefinition(
    name="my_pipeline",
    stages=[LoadDataStage()]
)

# Run the pipeline
runner = PipelineRunner(pipeline)
result = runner.run()

Core Components

Pipeline System

  • PipelineDefinition: Define pipeline structure and stages
  • PipelineRunner: Execute pipelines with context management
  • ETLStage: Base class for creating custom pipeline stages
  • PipelineContext: Manage pipeline state and variables

Variables

  • DFVar: pandas DataFrame variables
  • NDArrayVar: NumPy array variables
  • SVar: Serializable variables for general Python objects

Data Sources

  • CSVSource: Read data from CSV files
  • JSONSource: Read data from JSON files
  • FileSource: Read data from text files

Conditions

  • AlwaysExecute: Unconditional execution
  • AndCondition/OrCondition: Combine multiple conditions
  • ConfigFlagCondition: Execute based on configuration flags
  • VariableExistsCondition: Check variable presence
  • CustomCondition: Define custom execution logic

Utilities

  • File operations: read_file, write_file, append_file
  • CSV operations: read_csv, write_csv, append_csv
  • JSON operations: read_json, write_json, append_json
  • String utilities: camel_to_snake_case, snake_to_camel_case, and more
  • Time utilities: get_timestamp, get_current_date

Requirements

  • Python 3.8+

Development

Install development dependencies:

pip install stagecraft[dev]

Run tests:

pytest

License

Apache-2.0 License - see LICENSE file for details

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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