Lets create some data to my neo4j database.
Add a list of 6 Products for a smart glasses company with the properties:
- id (integer starting from 1)
- name (a simple name of the product)
- msrp_usd (sale price of the product in USD)
Generate a .csv listing 6 customer service agents with the following column headers: id (single integer starting with 1), name, email, bio (short description of professional history and technical background), hired_at (use an ISO 8601 compatible datetime string for UTC / GMT 0)
Generate a .csv listing 12 customers with the following column headers: id (single integer starting with 1), name, email, customer_since (use an ISO 8601 compatible datetime string for UTC / GMT 0)
Generate a .csv listing 24 customer tickets detailing issues clients are having with a company's software product. Use the following column headers: id (single integer starting with 1), title, content (short description of problem), customer_id (random integer between 1 and 12 using normal distribution / bell curve), assiged_to (random integer between 1 and 6 with a normal / bell curve distribution), opened_at (use an ISO 8601 compatible datetime string for UTC / GMT 0), resolved_at (use an ISO 8601 compat
import streamlit as st | |
from st_cytoscape import cytoscape | |
from baml_client import b | |
import json | |
# Set page config | |
st.set_page_config(layout="wide") | |
def process_graph_result(result): | |
"""Convert BAML graph result to cytoscape elements format""" |
from neo4j import GraphDatabase | |
import sys | |
def update_node_names(uri, user, password, target, replace_with): | |
driver = GraphDatabase.driver(uri, auth=(user, password)) | |
def update_name(tx, target, replace_with): | |
query = ( | |
"MATCH (n) " | |
"WHERE n.name = $target " |
from fastapi import FastAPI, HTTPException | |
from pydantic import BaseModel | |
import assemblyai as aai | |
from neo4j import GraphDatabase | |
from dotenv import load_dotenv | |
import os | |
# Load environment variables | |
load_dotenv() |
import assemblyai as aai | |
from neo4j import GraphDatabase | |
aai.settings.api_key = "<ASSEMBLYAI_API_KEY>" | |
audio_file = "https://assembly.ai/wildfires.mp3" | |
# audio_file = "./local_file.mp3" #syntax for using a local file | |
config = aai.TranscriptionConfig(entity_detection=True) | |
transcript = aai.Transcriber().transcribe(audio_file, config) |
from rushdb import RushDB | |
# Initialize the RushDB client | |
client = RushDB( | |
"<your_locally_generated_api_key>", | |
base_url="http://localhost:3000", | |
) | |
# Simple - Create a single Node | |
single_record = { |
@prefix : <http://www.semanticweb.org/srikargadusu/ontologies/2025/0/untitled-ontology-10/> . | |
@prefix owl: <http://www.w3.org/2002/07/owl#> . | |
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . | |
@prefix xml: <http://www.w3.org/XML/1998/namespace> . | |
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> . | |
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> . | |
@base <http://www.semanticweb.org/srikargadusu/ontologies/2025/0/untitled-ontology-10/> . | |
<http://www.semanticweb.org/srikargadusu/ontologies/2025/0/untitled-ontology-10> rdf:type owl:Ontology . |
from neo4j import GraphDatabase | |
from neo4j.graph import Relationship, Node | |
from typing import Optional, List | |
import json | |
import os | |
from dotenv import load_dotenv | |
load_dotenv() | |
def upload_cytoscape_to_neo4j( |
name | language | |
---|---|---|
TensorFlow | Python | |
Django | Python | |
Flask | Python | |
Verba | Python | |
CNTK | C++ | |
Jenkins | Java | |
Spring | Java | |
Apache Tomcat | Java |