cheeyeo

token_url="https://myapp.auth.us-east-1.amazoncognito.com/oauth2/token"
message = bytes(f"{client_id}:{client_secret}",'utf-8')
secret_hash = base64.b64encode(message).decode()
payload = {
    "grant_type": 'authorization_code',
    "client_id": client_id,
    "code": code,
    "redirect_uri": redirect_uri
}
headers = {"Content-Type": "application/x-www-form-urlencoded",

cheeyeo

import os
from typing import Any
import pytest
import requests
from fastapi.testclient import TestClient
import boto3
from sqlmodel import Session, SQLModel, create_engine
from sqlalchemy import delete
from moto import mock_aws
from dotenv import dotenv_values

cheeyeo

import os
import asyncio
from google import genai
from mem0 import Memory
from mcp_client import MCPClient


system_prompt_v2 = """
You are a helpful AI assistant. Answer the question based on the query and memories.

cheeyeo

Based on the following blog post:

https://aws.amazon.com/blogs/compute/simplifying-developer-experience-with-variables-and-jsonata-in-aws-step-functions/

https://github.com/aws-samples/serverless-account-signup-service/tree/jsonata-variables

cheeyeo

import datetime
import json


def lambda_handler(event, context):
    registration_info = event['registration_info']
    print(registration_info)

    dob = registration_info['child']['dateOfBirth']
    today = datetime.date.today()

cheeyeo

import datetime
import json
import base64
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives import serialization
from cryptography.hazmat.primitives.asymmetric import padding
from botocore.signers import CloudFrontSigner

cheeyeo

--- board/__init__.py
+++ board/__init__.py
@@ -18,7 +18,7 @@
 
 
 def get_locale():
-    return request.accept_languages.best_match(['en', 'es'])
+    return request.accept_languages.best_match(["en", "es"])
 

cheeyeo

cheeyeo

#!/usr/bin/env python

import os
import json
import time
import boto3
import sagemaker


if __name__ == "__main__":

cheeyeo

root@8423ac911e05:/opt/tritonserver# tritonserver --model-repository=model_repository
I0425 10:08:43.682014 1236 pinned_memory_manager.cc:241] Pinned memory pool is created at '0x77fa88000000' with size 268435456
I0425 10:08:43.682247 1236 cuda_memory_manager.cc:107] CUDA memory pool is created on device 0 with size 67108864
I0425 10:08:43.684950 1236 model_lifecycle.cc:461] loading: detection_postprocessing:1
W0425 10:08:43.685049 1236 model_lifecycle.cc:108] ignore version directory 'hf_cache' which fails to convert to integral number
I0425 10:08:43.685063 1236 model_lifecycle.cc:461] loading: sam_vit:1
W0425 10:08:43.685125 1236 model_lifecycle.cc:108] ignore version directory 'hf_cache' which fails to convert to integral number
I0425 10:08:43.685138 1236 model_lifecycle.cc:461] loading: grounding_dino_tiny:1
I0425 10:08:45.251843 1236 python_be.cc:2363] TRITONBACKEND_ModelInstanceInitialize: detection_postprocessing_0 (GPU device 0)
I0425 10:08:45.654267 1236 model_lifecycle.cc:818] successfully loaded 'd