samkeen

[Project Name]

Every time you choose to apply a rule(s), explicitly state the rule(s) in the output. You can abbreviate the rule description to a single word or phrase.

Project Context

[Brief description ]

• [more description]
• [more description]
• [more description]

samkeen

# Supply a custom prompt to a LangChain QA Chain
system_template = """Use the following pieces of context to answer the question at the end. If you don't know the answer, just say that you don't know, don't try to make up an answer.

{context}

Question: {question}
Helpful Answer:"""
messages = [
    SystemMessagePromptTemplate.from_template(system_template),
    HumanMessagePromptTemplate.from_template("{question}"),

samkeen

import boto3

# This code deletes buckets on AWS S3.
# It is designed to be run on a local machine with credentials for an AWS account that has the
# necessary permissions to delete buckets.
# It will delete the contents of the buckets before deleting the bucket itself.
# It will not attempt to delete a bucket that does not exist.

# BUCKETS is a list of bucket names that should be deleted. If a bucket in the list does not
# exist, it will be skipped.

samkeen

"""
Usage example:

    from logger import get_logger
    log = get_logger()
    log.info('my_event', my_key1='val 1', my_key2=5, my_key3=[1, 2, 3], my_key4={'a': 1, 'b': 2})

List of metadata keys in each log message:
    event
    _func

samkeen

Ec2InPrivateSubnetWithouttNatGtwy:
    Type: AWS::EC2::Instance
    Properties:
      ImageId: !Ref LatestAmiId
      InstanceType: !Ref InstanceType
      # KeyName: NO SSH Key needed
      IamInstanceProfile: !Ref Ec2InstanceProfile
      NetworkInterfaces:
        # The SSM Agent running on the EC2 instances must be able to connect to Session Manager's
        # public endpoint. You can also set up a PrivateLink connection to allow instances running

samkeen

env:

  variables:
    LAMBDA_PKG_BUCKET_PREFIX: mia

phases:

  install:
    commands:

samkeen

# replace json_api value with parsed value
    for key in json_encoded_key_names:
        if key in pdp_output.get('product-attributes') and pdp_output['product-attributes'][key] is not None:
            try:
                pdp_output['product-attributes'][key] = json.loads(pdp_output['product-attributes'][key])
            except json.decoder.JSONDecodeError as e:
                record_fault('call-resp-processing.atg.missing-required-data',
                             f"""Invalid JSON: {key} in pdp_output['product-attributes'] Reason: 
                             {e.msg} Data: {pdp_output['product-attributes'][key]}""")

samkeen

{
  "AWSTemplateFormatVersion": "2010-09-09",
  "Description": "VPC Across 3 AZs",
  "Parameters": {
    "EnvName": {
      "Type": "String",
      "Default": "Dev",
      "AllowedValues": [
        "Dev", "Test", "Prod"
      ],

samkeen

{
  "AWSTemplateFormatVersion": "2010-09-09",
  "Description": "VPC Across 3 AZs",
  "Parameters": {
    "EnvName": {
      "Type": "String",
      "Default": "Dev",
      "AllowedValues": [
        "Dev", "Test", "Prod"
      ],

samkeen

#!/usr/bin/env python
'''
Send memory usage metrics to Amazon CloudWatch
 
This is intended to run on an Amazon EC2 instance and requires an IAM
role allowing to write CloudWatch metrics. Alternatively, you can create
a boto credentials file and rely on it instead. 

Original idea based on https://github.com/colinbjohnson/aws-missing-tools