ajeetraina

{
  "mcpServers": {
    "mcp-installer": {
      "command": "npx",
      "args": [
        "@anaisbetts/mcp-installer"
      ]
    }
  }
}

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"NEO4J_URI": "neo4j+s://b0XXX9e8.databases.neo4j.io",
          "NEO4J_USERNAME": "neo4j",
          "NEO4J_PASSWORD": "_eM6spXS2fFd--LOSw3EwgP5GAODp5ido85G1koVXXX"

ajeetraina

docker run --cap-add=NET_ADMIN --device=/dev/net/tun -v /sys/class/net/can0:/sys/class/net/can0 your-docker-image

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services:
 db:
   image: postgres:17
   environment:
     POSTGRES_DB: ${DATABASE_NAME}
     POSTGRES_USER: ${DATABASE_USERNAME}
     POSTGRES_PASSWORD: ${DATABASE_PASSWORD}
   ports:
     - "5432:5432"
   env_file:

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# Stage 1: Base build stage
FROM python:3.13-slim AS builder

# Create the app directory
RUN mkdir /app

# Set the working directory
WORKDIR /app 

# Set environment variables to optimize Python

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# Use the official Python runtime image
FROM python:3.13  

# Create the app directory
RUN mkdir /app

# Set the working directory inside the container
WORKDIR /app

# Set environment variables 

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2024-11-01 13:43:43 database-1    | 2024-11-01 08:13:43.027+0000 INFO  Anonymous Usage Data is being sent to Neo4j, see https://neo4j.com/docs/usage-data/
2024-11-01 13:43:51 loader-1      | 
2024-11-01 13:43:51 loader-1      | Collecting usage statistics. To deactivate, set browser.gatherUsageStats to False.
2024-11-01 13:43:51 loader-1      | 
2024-11-01 13:43:51 loader-1      | 
2024-11-01 13:43:51 loader-1      |   You can now view your Streamlit app in your browser.
2024-11-01 13:43:46 database-1    | 2024-11-01 08:13:46.304+0000 INFO  Bolt enabled on 0.0.0.0:7687.
2024-11-01 13:43:47 database-1    | 2024-11-01 08:13:47.206+0000 INFO  HTTP enabled on 0.0.0.0:7474.
2024-11-01 13:43:47 database-1    | 2024-11-01 08:13:47.209+0000 INFO  Remote interface available at http://localhost:7474/
2024-11-01 13:43:47 database-1    | 2024-11-01 08:13:47.215+0000 INFO  id: 8940A76F218A70ADEA1575BE68E5D5D6D84D8A18625A537FF8AC58203EBE9FB4

ajeetraina

import os, requests, time, openai, json, logging
from pprint import pprint
from typing import Union, List

from fastapi import FastAPI
from pydantic import BaseModel

from sendblue import Sendblue

client = openai.Client(api_key="sk-proj-XXXX")

ajeetraina

Can you open mermaid.live and past this: 

flowchart LR
subgraph Client
U[User] --> UI[User Interface]
end

subgraph Server
UI --> R[Routes]
R --> C[Controllers]

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# Dockerfile (for both Linux and Windows)

ARG DOCKER_OS=linux  # Default OS (can be overridden during build)

FROM eclipse-temurin:21-jdk-jammy

WORKDIR /app

COPY .mvn/ .mvn
COPY mvnw pom.xml ./