mbstacy

library(ellmer)
library(httr2)

# Bypass AWS credential requirements - routes through Harvard Apigee gateway
Sys.setenv(
  HUIT_API_KEY          = Sys.getenv("APIGEE_API_KEY"),
  AWS_ACCESS_KEY_ID     = "placeholder",
  AWS_SECRET_ACCESS_KEY = "placeholder",
  AWS_REGION            = "us-east-1"
)

mbstacy

"""
Strands Agent with Web Search - Harvard Holiday Schedule Example

Uses the Strands Agents SDK to create an AI agent backed by Claude on AWS Bedrock
(via Harvard's Apigee gateway) with a local web_search tool powered by DDGS.

The agent searches the web for Harvard's current holiday schedule and writes
the results to a markdown file.

Install

mbstacy

Docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-meta.html

Model:  meta.llama3-1-8b-instruct-v1:0

1. Original Parameters
   prompt:{
    "modelId": "meta.llama3-1-8b-instruct-v1:0",
    "contentType": "application/json",
    "accept": "application/json",
    "body": {"prompt":"Answer the following question concisely in English (no code)with either '##Yes##' OR '##No##' and avoid extra details.Is Boston in the United states?","temperature":0.7}

mbstacy

/* 
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

mbstacy

Data Lake API

The CU Boulder Library uses the Cybercommons framework to access the data lake API. The backend database uses Mongo Database as the data document store. The query and aggregation pipeline leverages the MongoDB Query language. The language is passed through URL parameters using the JSON format.

Basic Parameters

- default format is a web presentation with clickable links 
  ?format=json
  ?format=xml

?format=yaml

mbstacy

Document Steps: (Backend Module)

1. Verify Module Descriptor and required interfaces

2. Branch folio-infrastructure

   • Add new module CI/ansible/testing-add-modules.yml
     1. Register Section
     2. Deploy Section

• After Step 3 Edit .gitmodules

mbstacy

import PyPDF2
from sys import argv

def getTextPdf(filename):
    '''
     Reads entire file and returns text
    '''
    #open allows you to read the file
    with  open(filename,'rb') as pdfFileObj:
        #The pdfReader variable is a readable object that will be parsed

mbstacy

Kubernetes Cost Comparison EC2 vs EKS

EKS Kubernetes

AWS EKS service provides the Kubernetes control plane. Price for EKS Service is $0.20 per hour / cluster.

EKS Use Case Monthly Cost

Three clusters with four worker nodes.

mbstacy

import pandas as pd

#error file generated in bash: $cat dm-ir.log | awk '{print $5,$8}' > errors2.txt
err=pd.read_csv('errors2.txt',delim_whitespace=True,header=None )
err.columns=['error_type','context_key']
err=err.drop_duplicates()

#Main inventory 
df=pd.read_csv('data/inventory-2019-05-30.csv',converters={i: str for i in range(0, 83)})
df= df.drop_duplicates()

mbstacy

import requests, json, os
from sys import argv


catalog_url = "https://libapps.colorado.edu/api/catalog/data/catalog/cuscholar.json"
headers={"Content-Type":"application/json","Authorization":"Token {0}".format(os.getenv('LIBAPPS_APITOKEN'))}

def get_cuscholar_data():
    #query='query={"filter":{},"projection":{"data_files.s3.key":1,"title":1,"_id":0}}'
    #url = "{0}?page_size=100&{1}".format(catalog_url,query)