{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import os\n", "os.environ['GRAPHISTRY_USERNAME'] = input(\"Please enter your graphistry username\")\n", "os.environ['GRAPHISTRY_PASSWORD'] = input(\"Please enter your graphistry password\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import os\n", "import pathlib\n", "import cognee\n", "from cognee.infrastructure.databases.relational import create_db_and_tables\n", "\n", "notebook_path = os.path.abspath(\"\")\n", "data_directory_path = str(pathlib.Path(os.path.join(notebook_path, \".data_storage/code_graph\")).resolve())\n", "cognee.config.data_root_directory(data_directory_path)\n", "cognee_directory_path = str(pathlib.Path(os.path.join(notebook_path, \".cognee_system/code_graph\")).resolve())\n", "cognee.config.system_root_directory(cognee_directory_path)\n", "\n", "await cognee.prune.prune_data()\n", "await cognee.prune.prune_system(metadata = True)\n", "\n", "await create_db_and_tables()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from os import path\n", "from pathlib import Path\n", "from cognee.infrastructure.files.storage import LocalStorage\n", "import git\n", "\n", "notebook_path = path.abspath(\"\")\n", "repo_clone_location = path.join(notebook_path, \".data/graphrag\")\n", "\n", "LocalStorage.remove_all(repo_clone_location)\n", "\n", "git.Repo.clone_from(\n", " \"git@github.com:microsoft/graphrag.git\",\n", " Path(repo_clone_location),\n", " branch = \"main\",\n", " single_branch = True,\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from cognee.tasks.repo_processor import enrich_dependency_graph, expand_dependency_graph, get_repo_file_dependencies\n", "from cognee.tasks.storage import add_data_points\n", "from cognee.modules.pipelines.tasks.Task import Task\n", "\n", "tasks = [\n", " Task(get_repo_file_dependencies),\n", " Task(add_data_points, task_config = { \"batch_size\": 50 }),\n", " Task(enrich_dependency_graph, task_config = { \"batch_size\": 50 }),\n", " Task(expand_dependency_graph, task_config = { \"batch_size\": 50 }),\n", " Task(add_data_points, task_config = { \"batch_size\": 50 }),\n", "]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from cognee.modules.pipelines import run_tasks\n", "\n", "notebook_path = os.path.abspath(\"\")\n", "repo_clone_location = os.path.join(notebook_path, \".data/graphrag\")\n", "\n", "pipeline = run_tasks(tasks, repo_clone_location, \"code_graph_pipeline\")\n", "\n", "async for result in pipeline:\n", " print(result)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from cognee.shared.utils import render_graph\n", "await render_graph(None, include_nodes = True, include_labels = True)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.8" } }, "nbformat": 4, "nbformat_minor": 2 }