{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Multi-Format Export\n",
        "\n",
        "## Overview\n",
        "\n",
        "Export knowledge graphs and data to multiple formats: JSON, RDF, CSV, Graph formats, OWL, and Vector formats.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "from semantica.export import (\n",
        "    JSONExporter,\n",
        "    RDFExporter,\n",
        "    CSVExporter,\n",
        "    GraphExporter,\n",
        "    OWLExporter,\n",
        "    VectorExporter\n",
        ")\n",
        "from semantica.kg import GraphBuilder\n",
        "from semantica.embeddings import EmbeddingGenerator\n",
        "from semantica.ontology import OntologyGenerator\n",
        "import os\n",
        "\n",
        "os.makedirs(\"exports\", exist_ok=True)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Step 1: Create Sample Knowledge Graph and Data\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "builder = GraphBuilder()\n",
        "\n",
        "entities = [\n",
        "    {\"id\": \"e1\", \"type\": \"Person\", \"name\": \"Alice\", \"properties\": {\"age\": 30}},\n",
        "    {\"id\": \"e2\", \"type\": \"Person\", \"name\": \"Bob\", \"properties\": {\"age\": 35}},\n",
        "    {\"id\": \"e3\", \"type\": \"Organization\", \"name\": \"Tech Corp\", \"properties\": {\"founded\": 2010}},\n",
        "]\n",
        "\n",
        "relationships = [\n",
        "    {\"source\": \"e1\", \"target\": \"e2\", \"type\": \"knows\"},\n",
        "    {\"source\": \"e1\", \"target\": \"e3\", \"type\": \"works_for\"},\n",
        "]\n",
        "\n",
        "knowledge_graph = builder.build(entities, relationships)\n",
        "\n",
        "embedding_generator = EmbeddingGenerator()\n",
        "texts = [e[\"name\"] for e in entities]\n",
        "embeddings = embedding_generator.generate(texts)\n",
        "\n",
        "ontology_generator = OntologyGenerator()\n",
        "ontology = ontology_generator.generate_from_graph(knowledge_graph)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Step 2: Export to JSON\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "json_exporter = JSONExporter()\n",
        "json_exporter.export(knowledge_graph, \"exports/output.json\")\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Step 3: Export to RDF\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "rdf_exporter = RDFExporter()\n",
        "rdf_exporter.export(knowledge_graph, \"exports/output.rdf\")\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Step 4: Export to CSV\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "csv_exporter = CSVExporter()\n",
        "csv_exporter.export(knowledge_graph, \"exports/output.csv\")\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Step 5: Export to Graph Formats (GraphML, GEXF)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "graph_exporter = GraphExporter()\n",
        "graph_exporter.export(knowledge_graph, \"exports/output.graphml\", format=\"graphml\")\n",
        "graph_exporter.export(knowledge_graph, \"exports/output.gexf\", format=\"gexf\")\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Step 6: Export to OWL\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "owl_exporter = OWLExporter()\n",
        "owl_exporter.export(ontology, \"exports/output.owl\")\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Step 7: Export to Vector Formats\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "vector_exporter = VectorExporter()\n",
        "vector_exporter.export(embeddings, \"exports/output.vectors\")\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Summary\n",
        "\n",
        "Export formats:\n",
        "- JSON\n",
        "- RDF\n",
        "- CSV\n",
        "- GraphML\n",
        "- GEXF\n",
        "- OWL\n",
        "- Vector format\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "export_files = [\n",
        "    \"exports/output.json\",\n",
        "    \"exports/output.rdf\",\n",
        "    \"exports/output.csv\",\n",
        "    \"exports/output.graphml\",\n",
        "    \"exports/output.gexf\",\n",
        "    \"exports/output.owl\",\n",
        "    \"exports/output.vectors\"\n",
        "]\n",
        "\n",
        "for file in export_files:\n",
        "    if os.path.exists(file):\n",
        "        size = os.path.getsize(file)\n",
        "        print(f\"{file} ({size} bytes)\")\n"
      ]
    }
  ],
  "metadata": {
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 2
}