syntax_knowledge_graph.ipynb

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        "<a href=\"https://colab.research.google.com/github/ryderwishart/biblical-machine-learning/blob/main/syntax_knowledge_graph.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "cell_type": "code",
      "source": [
        "import os\n",
        "\n",
        "if 'biblical-machine-learning' not in [path for path in os.listdir()]:\n",
        "    !git clone https://github.com/ryderwishart/biblical-machine-learning.git"
      ],
      "metadata": {
        "id": "rVA_ISXrmPgo"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from pathlib import Path\n",
        "from collections import defaultdict\n",
        "\n",
        "file_paths = []\n",
        "for path in Path(\"biblical-machine-learning/data/dependencies\").glob(\"*.csv\"):\n",
        "    file_paths.append(os.path.abspath(path))\n",
        "\n",
        "# Define a function to read the contents of a file\n",
        "def read_lines(file_path):\n",
        "    with open(file_path, \"r\") as f:\n",
        "        lines = []\n",
        "        for line in f:\n",
        "            fields = line.strip().split('|')\n",
        "            line_dict = defaultdict(str)\n",
        "            id, form, head_id, func = fields[0:4]\n",
        "            line_dict['morphgnt_id'] = id\n",
        "            line_dict['morphgnt_head_id'] = head_id\n",
        "            line_dict['function'] = func\n",
        "            for field in fields[5:]:\n",
        "                key, value = field.replace('\"', '').split('=')\n",
        "                line_dict[key] = value\n",
        "            lines.append(line_dict)\n",
        "        return lines\n",
        "\n",
        "lines = []\n",
        "for file_path in file_paths:\n",
        "    for line in read_lines(file_path):\n",
        "        lines.append(line)\n",
        "\n",
        "import pandas as pd\n",
        "\n",
        "frame = pd.DataFrame(lines)\n",
        "\n",
        "subset_df = frame[frame['ref'].str.contains('2JN 1:1')]"
      ],
      "metadata": {
        "id": "jZET1MyUmeOt"
      },
      "execution_count": 3,
      "outputs": []
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      "cell_type": "code",
      "source": [
        "subset_df.head(10)"
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        "outputId": "4dcf64ce-e5b8-4a56-9a29-198904a61236"
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      "execution_count": 4,
      "outputs": [
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              "       morphgnt_id morphgnt_head_id function         ref   Cat Start End  \\\n",
              "61579  63001001001      63001001002      det   2JN 1:1!1   det     0   0   \n",
              "61580  63001001002             None       CL   2JN 1:1!2   adj     1   1   \n",
              "61581  63001001003      63001001004     adjp   2JN 1:1!3   adj     2   2   \n",
              "61582  63001001004      63001001002       IO   2JN 1:1!4  noun     3   3   \n",
              "61583  63001001005      63001001004     conj   2JN 1:1!5  conj     4   4   \n",
              "61584  63001001006      63001001007      det   2JN 1:1!6   det     5   5   \n",
              "61585  63001001007      63001001004       np   2JN 1:1!7  noun     6   6   \n",
              "61586  63001001008      63001001007       np   2JN 1:1!8  pron     7   7   \n",
              "61587  63001001009      63001001011        O   2JN 1:1!9  pron     8   8   \n",
              "61588  63001001011      63001001004       CL  2JN 1:1!11  verb     9   9   \n",
              "\n",
              "      StrongNumber UnicodeLemma     Gender  ... LexDomain     LN        Mood  \\\n",
              "61579         3588            ὁ  Masculine  ...    092004  92.24         NaN   \n",
              "61580         4245  πρεσβύτερος  Masculine  ...    053009  53.77         NaN   \n",
              "61581         1588     ἐκλεκτός   Feminine  ...    030006  30.93         NaN   \n",
              "61582         2959        κυρία   Feminine  ...    087003  87.54         NaN   \n",
              "61583         2532          καί        NaN  ...       NaN    NaN         NaN   \n",
              "61584         3588            ὁ     Neuter  ...    092004  92.24         NaN   \n",
              "61585         5043       τέκνον     Neuter  ...    010002  10.36         NaN   \n",
              "61586          846        αὐτός   Feminine  ...       NaN    NaN         NaN   \n",
              "61587         3739           ὅς  Masculine  ...       NaN    NaN         NaN   \n",
              "61588           25       ἀγαπάω        NaN  ...    025003  25.43  Indicative   \n",
              "\n",
              "         Tense   Voice SubjRef  \\\n",
              "61579      NaN     NaN     NaN   \n",
              "61580      NaN     NaN     NaN   \n",
              "61581      NaN     NaN     NaN   \n",
              "61582      NaN     NaN     NaN   \n",
              "61583      NaN     NaN     NaN   \n",
              "61584      NaN     NaN     NaN   \n",
              "61585      NaN     NaN     NaN   \n",
              "61586      NaN     NaN     NaN   \n",
              "61587      NaN     NaN     NaN   \n",
              "61588  Present  Active     NaN   \n",
              "\n",
              "                                                   Frame  \\\n",
              "61579                                                NaN   \n",
              "61580                                                NaN   \n",
              "61581                                                NaN   \n",
              "61582                                                NaN   \n",
              "61583                                                NaN   \n",
              "61584                                                NaN   \n",
              "61585                                                NaN   \n",
              "61586                                                NaN   \n",
              "61587                                                NaN   \n",
              "61588  A1:n63001001009 A0:n63001001010;n63001001015;n...   \n",
              "\n",
              "                             Ref Person       Degree  \n",
              "61579                        NaN    NaN          NaN  \n",
              "61580                        NaN    NaN  Comparative  \n",
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              "61583                        NaN    NaN          NaN  \n",
              "61584                        NaN    NaN          NaN  \n",
              "61585                        NaN    NaN          NaN  \n",
              "61586               n63001001004    NaN          NaN  \n",
              "61587  n63001001004 n63001001007    NaN          NaN  \n",
              "61588                        NaN  First          NaN  \n",
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              "      <th></th>\n",
              "      <th>morphgnt_id</th>\n",
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              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import networkx as nx\n",
        "selected_frame = subset_df # or 'frame' for whole NT\n",
        "\n",
        "# Initialize an empty directed graph\n",
        "G = nx.DiGraph()\n",
        "labels = {}\n",
        "# FIXME: make this into two loops to reduce order of complexity\n",
        "# Iterate through the dataset rows and add nodes and edges\n",
        "for index, row in selected_frame.iterrows():\n",
        "    morphgnt_id = row['morphgnt_id']\n",
        "    morphgnt_head_id = row['morphgnt_head_id']\n",
        "    function = row['function']\n",
        "    normalized_form = row['NormalizedForm']\n",
        "    gloss = row['Gloss']\n",
        "    pos = row['Cat']\n",
        "    labels[morphgnt_id] = gloss\n",
        "\n",
        "    # # Find head_id row in df\n",
        "    # head_rows = selected_frame[selected_frame['morphgnt_id'] == morphgnt_head_id]\n",
        "    # if len(head_rows) > 0:\n",
        "    #     head_row = head_rows.iloc[0]\n",
        "    # # head_function = head_row['function']\n",
        "    # head_normalized_form = head_row['NormalizedForm']\n",
        "    # head_pos = head_row['Cat']\n",
        "    # head_gloss = head_row['Gloss']\n",
        "\n",
        "    # Add nodes for morphgnt_id and morphgnt_head_id if they don't exist\n",
        "    if not G.has_node(morphgnt_id):\n",
        "        G.add_node(morphgnt_id, type=pos, normalized_form=normalized_form, label=gloss)\n",
        "    # if not G.has_node(morphgnt_head_id):\n",
        "    #     G.add_node(morphgnt_head_id, type=head_pos, label=head_gloss) # FIXME: this is the wrong label here\n",
        "\n",
        "for index, row in selected_frame.iterrows():\n",
        "    morphgnt_id = row['morphgnt_id']\n",
        "    morphgnt_head_id = row['morphgnt_head_id']\n",
        "    function = row['function']\n",
        "    # Add an edge between morphgnt_id and morphgnt_head_id with the 'function' as an attribute\n",
        "    G.add_edge(morphgnt_id, morphgnt_head_id, function=function)\n",
        "\n"
      ],
      "metadata": {
        "id": "s4T1Hn4glxAx"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# source_node = 'source_morphgnt_id'\n",
        "# target_node = 'target_morphgnt_id'\n",
        "# shortest_path = nx.shortest_path(G, source=source_node, target=target_node)\n",
        "# print(shortest_path)\n"
      ],
      "metadata": {
        "id": "_SUOhvCYlzbR"
      },
      "execution_count": 96,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print('Nodes: ', G.number_of_nodes())\n",
        "print('Edges: ', G.number_of_edges())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "52qpo6rzo1eG",
        "outputId": "9205e743-6a8c-4428-af2c-67117ecaa328"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Nodes:  137780\n",
            "Edges:  137779\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "pos = nx.kamada_kawai_layout(G)\n",
        "\n",
        "# Draw the graph with node labels\n",
        "nx.draw(G, pos, with_labels=True, labels=labels)\n",
        "\n",
        "# Draw edge labels as before\n",
        "edge_labels = nx.get_edge_attributes(G, 'function')\n",
        "nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels)\n",
        "\n",
        "plt.show()\n"
      ],
      "metadata": {
        "id": "GCsKSj21l0AO"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "pos = nx.spring_layout(G)\n",
        "\n",
        "# Set the figure size to 10x10 inches\n",
        "fig, ax = plt.subplots(figsize=(10, 10))\n",
        "\n",
        "# Draw the graph with node labels\n",
        "nx.draw(G, pos, with_labels=True, labels=labels, ax=ax, node_size=100)\n",
        "\n",
        "# Draw edge labels as before\n",
        "edge_labels = nx.get_edge_attributes(G, 'function')\n",
        "nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels)\n",
        "\n",
        "# Avoid node overlap\n",
        "plt.margins(0.1, 0.1)\n",
        "\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 575
        },
        "id": "hFDKM5xR1Cjs",
        "outputId": "f577b9ac-a33f-49b9-d418-3b7a09a679e8"
      },
      "execution_count": 137,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import lxml\n",
        "output_file = \"dep-graph-fullnt.graphml\"\n",
        "nx.write_graphml(G, output_file)\n",
        "# If working locally, check os.getcwd() for file location.\n",
        "# If working in Colab, click the 'files' sidebar button on the left."
      ],
      "metadata": {
        "id": "BTDV2TZ_on9K"
      },
      "execution_count": 8,
      "outputs": []
    }
  ]
}