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feat: init neo4j templates
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‎Neo4j/Neo4j_Create_Node.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "143c505b",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2021-02-23T14:22:16.610471Z",
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"iopub.status.busy": "2021-02-23T14:22:16.610129Z",
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"iopub.status.idle": "2021-02-23T14:22:16.627784Z",
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"shell.execute_reply": "2021-02-23T14:22:16.626866Z",
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"shell.execute_reply.started": "2021-02-23T14:22:16.610384Z"
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},
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"papermill": {},
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"tags": []
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},
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"source": [
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"<img width=\"8%\" alt=\"Neo4j.png\" src=\"https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/Neo4j.png\" style=\"border-radius: 15%\">"
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]
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},
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{
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"cell_type": "markdown",
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"id": "bafb077c",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"# Neo4j - Create Node"
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]
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},
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{
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"cell_type": "markdown",
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"id": "cb407ea8",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"**Tags:** #neo4j #knowledgegraph #node #snippet"
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]
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},
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{
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"cell_type": "markdown",
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"id": "3fa65002",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"**Author:** [Florent Ravenel](https://www.linkedin.com/in/florent-ravenel)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "c7851585",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"**Last update:** 2024-05-22 (Created: 2024-05-22)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "188a2da0",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"**Description:** This notebook creates a node with properties in Neo4j using a Cypher query."
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]
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},
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{
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"cell_type": "markdown",
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"id": "498e71dd",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"## Input"
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]
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},
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{
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"cell_type": "markdown",
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"id": "d2366b9a",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"### Import libraries"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "61e8eabc-4c9f-4314-bc1e-3c09b4c3266c",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"from neo4j import GraphDatabase\n",
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"from datetime import datetime"
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]
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},
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{
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"cell_type": "markdown",
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"id": "4acf67a5",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"### Setup variables\n",
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"- `url`: Database connection URL\n",
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"- `user`: Database username\n",
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"- `password`: Database password\n",
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"- `node_type`: Node type to be updated\n",
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"- `node_id`: Identifier of the node to be updated\n",
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"- `node_id_label`: Label for the node identifier\n",
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"- `properties`: Custom properties for the node\n",
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"- `output_file_path`: Path for the output file"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e98a53eb",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"outputs": [],
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"source": [
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"url = \"bolt://localhost:7687\"\n",
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"user = \"neo4j\"\n",
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"password = \"password\"\n",
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"node_type = \"Person\" # Type of node to update\n",
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"node_id = \"John\" # Identifier of node to update\n",
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"node_id_label = \"id\"\n",
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"properties = {\"name\": \"John\", \"age\": 30, \"city\": \"New York\", \"birthdate\": datetime(1990, 5, 17).strftime(\"%Y-%m-%dT%H:%M:%S\")} # Custom properties for node\n",
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"output_file_path = 'query_output.txt' # Output file path"
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]
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},
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{
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"cell_type": "markdown",
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"id": "f91368ae",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"## Model"
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]
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},
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{
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"cell_type": "markdown",
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"id": "f1fa2ed4-5944-41e1-99f9-0fb2288e0683",
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"metadata": {},
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"source": [
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"### Connect to GraphDatabase"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c4f3bf28-1661-4a17-98c0-02140aead632",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"driver = GraphDatabase.driver(url, auth=(username, password))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6223fb35",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"### Create a node with custom type and properties in Neo4j"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c164f0e3-3c2d-4c5d-ae5c-71df38cb4223",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"def create_node(\n",
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" driver,\n",
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" node_type,\n",
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" node_id,\n",
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" node_id_label=\"id\",\n",
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" properties=[],\n",
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" output_file_path='cypher_query.txt'\n",
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"):\n",
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" # Function to create a node with custom type and properties in Neo4j\n",
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" def create_custom_node(tx, node_type, node_id, node_id_label, properties):\n",
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" # Prepare properties string for Cypher query\n",
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" properties_list = []\n",
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" for key, value in properties.items():\n",
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" if 'date' in key:\n",
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" properties_list.append(f'n.{key} = datetime(\"{value}\")')\n",
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" elif isinstance(value, int) or isinstance(value, float):\n",
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" properties_list.append(f'n.{key} = {value}')\n",
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" else:\n",
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" properties_list.append(f'n.{key} = \"{value}\"')\n",
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" properties_str = ', '.join(properties_list)\n",
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" \n",
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" # Create cypher query\n",
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" cypher_query = f\"MERGE (n:{node_type} {{{node_id_label}: '{node_id}'}}) SET {properties_str}\"\n",
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" tx.run(cypher_query)\n",
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" with open(output_file_path, 'w') as f: # Open the output file in write mode\n",
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" f.write(cypher_query) # Write the query to the output file\n",
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"\n",
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" ### Use the driver to create a session and run the function\n",
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" with driver.session() as session:\n",
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" session.execute_write(create_custom_node, node_type, node_id, node_id_label, properties)\n",
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"\n",
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" ## Output\n",
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" ### Print success message\n",
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" print(\"Node created successfully.\")\n",
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" print(f\"Cypher query stored in {output_file_path}.\")\n",
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" \n",
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"create_node(\n",
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" driver,\n",
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" node_type,\n",
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" node_id,\n",
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" node_id_label,\n",
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" properties,\n",
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" output_file_path\n",
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")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "8dfea0ee",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"## Output"
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]
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},
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{
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"cell_type": "markdown",
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"id": "cde6062b-7b01-473e-a2e7-2c76937e257f",
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"metadata": {},
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"source": [
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"### Display cypher query"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "3ca6b668-9c69-4d00-bc17-fbe47c3dfd22",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"with open(output_file_path, 'r') as f:\n",
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" data = f.read()\n",
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"print(f\"Cypher query: {data}\")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.6"
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},
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"naas": {
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"notebook_id": "0ee0ab05a4a7ec68df589076942e71a2dd9a2548b6324496dae89565be89e92a",
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"notebook_path": "LangChain/LangChain_Create_Agent.ipynb"
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},
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"papermill": {
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"default_parameters": {},
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"environment_variables": {},
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"parameters": {},
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"version": "2.6.0"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

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