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name gnn-export
description GNN multi-format export generation. Use when exporting GNN models to JSON, XML, GraphML, GEXF, Pickle, or other interchange formats for use in external tools and frameworks.

GNN Export (Step 7)

Purpose

Exports parsed GNN models to multiple interchange formats for interoperability with external tools, visualization platforms, and analysis frameworks.

Key Commands

# Run export
python src/7_export.py --target-dir input/gnn_files --output-dir output --verbose

# As part of pipeline
python src/main.py --only-steps 7 --verbose

Supported Formats

Format Extension Use Case
JSON .json General interchange, web tools
XML .xml Enterprise integration
GraphML .graphml Graph analysis tools (Gephi, yEd)
GEXF .gexf Dynamic graph visualization
Pickle .pkl Python-native serialization

API

from export import (
    export_model, generate_exports, export_single_gnn_file,
    Exporter, MultiFormatExporter, get_supported_formats,
    export_to_json, export_to_xml, export_to_graphml, export_to_gexf,
    process_export
)

# Export single file to all formats
export_single_gnn_file("model.md", "output/")

# Use the Exporter class
exporter = Exporter()
result = exporter.export_gnn_model(gnn_content, "json")

# Multi-format export
mf_exporter = MultiFormatExporter()
results = mf_exporter.export_to_multiple_formats(content, ["json", "xml", "graphml"])

# Query supported formats
formats = get_supported_formats()

# Run full export step (used by pipeline)
process_export(target_dir, output_dir, verbose=True)

Key Exports

  • export_model / export_single_gnn_file — export a single model
  • generate_exports — batch export for a directory
  • Exporter / MultiFormatExporter — class-based export interfaces
  • export_to_json, export_to_xml, export_to_graphml, export_to_gexf — format-specific
  • process_export — main pipeline processing function

Output

  • Exported files in output/7_export_output/
  • One file per model per format
  • Export summary manifest

MCP Tools

This module registers tools with the GNN MCP server (see mcp.py):

  • process_export
  • list_export_formats
  • validate_export_format

References

Documentation

  • README: Module Overview
  • AGENTS: Agentic Workflows
  • SPEC: Architectural Specification
  • SKILL: Capability API