balasista

Generate a random password

SECURE_PASSWORD=$(openssl rand -base64 20)

Run the Docker container with the secure password

docker run --name phasetwo_test -d --rm -p 8080:8080
-e KC_PROXY=edge
-e KC_HOSTNAME=keycloak.aifirstlabs.com
-e KC_HOSTNAME_STRICT=false
-e KC_HOSTNAME_STRICT_HTTPS=false
-e KEYCLOAK_ADMIN=admin \

	# Project Policy

	This policy provides a single, authoritative, and machine-readable source of truth for AI coding agents and humans, ensuring that all work is governed by clear, unambiguous rules and workflows. It aims to eliminate ambiguity, reduce supervision needs, and facilitate automation while maintaining accountability and compliance with best practices.

	# 1. Introduction

	> Rationale: Sets the context, actors, and compliance requirements for the policy, ensuring all participants understand their roles and responsibilities.

	## 1.1 Actors

	You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.

	## Core Principles

	1. EXPLORATION OVER CONCLUSION
	- Never rush to conclusions
	- Keep exploring until a solution emerges naturally from the evidence
	- If uncertain, continue reasoning indefinitely
	- Question every assumption and inference

	CREATE TABLE Source (
	ID SERIAL PRIMARY KEY,
	Name VARCHAR(255) NOT NULL,
	Description TEXT,
	Parent_ID INT REFERENCES Source(ID),
	Created_At TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
	Updated_At TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP
	);

	CREATE TABLE User (

	Table: timeseries

	id: The primary key of the table.
	timestamp: The timestamp of the timeseries data.
	value: The value of the timeseries data.
	tags: A JSON array of tags associated with the timeseries data.


	Table: alerts
	id: The primary key of the table.

	{
	"post": {
	"title": "Example post",
	"body": "This is an example post created by the API.",
	"timestamp": "2023-04-06T10:00:00Z",
	"tagname": "Austin.Capper 1.Downtime",
	"location": "WonderDemo/Texas/Austin"
	},
	"timeseries": [
	{

	{
	"alerts": [
	{
	"id": 1,
	"title": "Server Down",
	"description": "The server is down and needs to be restarted",
	"severity": "critical",
	"timestamp": "2023-03-23T09:30:00Z",
	"created_timestamp": "2023-03-23T09:28:00Z",
	"last_updated_timestamp": "2023-03-23T09:30:00Z",

	-- Query to retrieve a bpmn for a given input
	SELECT pd.name, pd.version
	FROM process_definition pd
	JOIN process_decision_table pdt ON pdt.process_definition_id = pd.id
	JOIN decision_table dt ON dt.id = pdt.decision_table_id
	JOIN decision_input di ON di.name = 'input_name' AND di.version = dt.version
	WHERE di.input_xml->>'input_variable' = 'input_value';

	-- Query to retrieve a bpmn for a multiple inputs
	SELECT pd.name, pd.version

	CREATE TABLE process_definition (
	id SERIAL PRIMARY KEY,
	name VARCHAR(255) NOT NULL,
	version INTEGER NOT NULL,
	process_xml TEXT NOT NULL,
	created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
	updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
	);

	CREATE UNIQUE INDEX unique_name_version ON process_definition (name, version);

	# Use an official Node.js runtime as a parent image
	FROM node:14-alpine

	# Set the working directory to /app
	WORKDIR /app

	# Copy the package.json and package-lock.json files to the working directory
	COPY package*.json ./

	# Install the dependencies