Alteryx Workflow Repository

Welcome to the Alteryx Workflow Repository! This repository hosts a collection of Alteryx workflows designed to streamline data processing, analysis, and automation tasks.

Overview

In this repository, you will find:

• Alteryx Workflows: .yxmd or .yxzp files containing data workflows for data preparation, blending, analysis, and reporting.
• Data Files: Sample data files or connections used within the workflows.
• Documentation: Guides, tutorials, and explanations on how to use, customize, and deploy the workflows.
• Scripts: Any additional scripts or tools used alongside Alteryx workflows.

Architecture

flowchart LR
    A[Alteryx Workflow<br/>.yxmd] --> B[alt2md.py]
    B --> C{LLM Enhancement<br/>Enabled?}
    C -->|Yes| D[LLM Process<br/>Enhancer]
    C -->|No| E[Markdown<br/>.md]
    D --> E
    E --> F[md2af.py]
    F --> G{LLM Enhancement<br/>Enabled?}
    G -->|Yes| H[LLM Process<br/>Enhancer]
    G -->|No| I[Airflow DAG<br/>.py]
    H --> I
    
    style A fill:#e1f5ff
    style E fill:#fff4e1
    style I fill:#e8f5e9
    style D fill:#f3e5f5,stroke-dasharray: 5 5
    style H fill:#f3e5f5,stroke-dasharray: 5 5
    style C fill:#fff,stroke-dasharray: 5 5
    style G fill:#fff,stroke-dasharray: 5 5

Loading

Legend:

• Solid boxes: Required steps
• Dashed boxes: Optional LLM enhancement (configurable via .env)

Workflow Conversion Tools

This repository includes a 2-step conversion pipeline with optional LLM enhancement:

Step 1: Alteryx to Markdown (alt2md.py)

Converts Alteryx .yxmd files to Markdown documentation with Mermaid flowchart diagrams.

Usage:

# Convert a single workflow to markdown
python alt2md.py sample.yxmd sample.md

# Convert all workflows in a directory
python alt2md.py --all "." "docs"

# Show help
python alt2md.py --help

Output: Generates comprehensive documentation including:

• Workflow overview and metadata
• Mermaid flowchart diagram
• Detailed tool configurations
• Data flow analysis

Step 2: Markdown to Airflow DAG (md2af.py)

Converts Markdown documentation (with Mermaid diagrams) to Apache Airflow DAG Python files.

Usage:

# Convert a single markdown file
python md2af.py sample.md sample_dag.py

# Convert all markdown files in a directory
python md2af.py --all "docs" "output/dags"

# Show help
python md2af.py --help

Complete Conversion Pipeline

Use these tools in sequence for a complete workflow:

# Step 1: Convert Alteryx to Markdown
python alt2md.py sample.yxmd sample.md

# Step 2: Convert Markdown to Airflow DAG
python md2af.py sample.md sample_dag.py

LLM Enhancement (Optional)

Enable AI-powered enhancement of your conversions by setting the environment variable:

# In your .env file
ENABLE_LLM_ENHANCEMENT=true

When enabled, the LLM will:

• In Step 1 (alt2md.py): Enhance markdown documentation with better descriptions, context, and insights
• In Step 2 (md2af.py): Improve Airflow DAG code with better error handling, logging, and best practices

Supported LLM Providers:

• Ollama (local)
• OpenAI (API key required)
• Google Gemini (API key required)
• llama.cpp (local server)

Configure your provider in .env:

LLM_PROVIDER=llama.cpp
LLAMA_CPP_URL=http://127.0.0.1:8080/v1

See .env.sample for all configuration options.

Legacy Tool: Direct Conversion (alterxy2airflow.py)

Directly converts Alteryx .yxmd files to Apache Airflow DAG Python files (without markdown intermediate step).

Usage:

# Convert a single workflow
python alterxy2airflow.py "Accident Workflow.yxmd" "accident_dag.py"

# Convert all workflows in a directory
python alterxy2airflow.py --all "." "output/dags"

Supported Alteryx Tools

The converters support the following Alteryx tool types:

• File Input/Output (CSV, Excel)
• Formula
• Filter
• Sort
• Sample
• Summarize/Aggregate
• Browse
• Multi-Row Formula
• Table Composer
• Charts
• Macro Input/Output
• Join, Union, Select
• Data Cleansing
• Running Total
• Transpose, Cross Tab

Usage

To utilize the Alteryx workflows in this repository:

1. Clone or Download: Clone this repository to your local machine or download it as a ZIP file.
2. Install Alteryx Designer: If you haven't already, download and install Alteryx Designer.
3. Open Workflow: Open the desired Alteryx workflow (.yxmd or .yxzp file) using Alteryx Designer.
4. Configure Input and Output: If necessary, configure input connections to your data sources and output destinations.
5. Run the Workflow: Execute the workflow to perform data processing, blending, or analysis tasks.
6. Review Results: Review the output data and any generated reports or visualizations to gain insights.

Formatting

To maintain consistency and readability across Alteryx workflows, please adhere to the following formatting guidelines:

• Organize the workflow with clear and logical workflows.
• Use meaningful names for tools, inputs, outputs, and macros.
• Include annotations and comments to explain complex workflows or logic.
• Follow best practices for efficient data processing and optimization.

Git Commands for Alteryx Workflows

When collaborating on Alteryx workflows within this repository, consider using Git commands to manage changes efficiently:

• git clone <repository_url>: Clone the repository to your local machine.
• git add <file>: Add the modified Alteryx workflow file (.yxmd or .yxzp) to the staging area.
• git commit -m "Your commit message": Commit the changes along with a descriptive message indicating the purpose of the modifications.
• git push origin <branch>: Push the committed changes to the remote repository, making them available to other team members.
• git pull origin <branch>: Pull the latest changes from the remote repository to your local machine.

Feedback

Your feedback is valuable to us! If you have any questions, suggestions, or encounter any issues while using our Alteryx workflows, please don't hesitate to open an issue in this repository.

License

This repository is licensed under the MIT License. Feel free to use, modify, and distribute the workflows and resources as needed, but please attribute the original work appropriately.

Contact

For any inquiries or further assistance, please contact [nanditasharma182@gmail.com].

Thank you for using our Alteryx workflows! We hope they streamline your data processing and analysis tasks effectively. Happy workflow building!

Screenshots