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        "author": "Zane Williamson",
        "author_email": "zane.williamson@gmail.com",
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        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation :: CPython",
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        "description": "# aws-python-utils\n\nSimplify use of AWS resources in your code with aws-python-utils\n\n### Install\n\n```\npip install aws-python-util\n```\n\n### SecretManager Util\n* Easy secret retrieval\n\n##### get_secret()\n\nUse ENVIRONMENT variable \"AWS_SECRET_MANAGER_SECRET\" or pass in secret_key name.\n\n###### Example Usage\n\nVia ENVIRONMENT variable\n```python\nfrom aws_python_utils import secretmanager\nimport os\n\nos.environ[\"AWS_SECRET_MANAGER_SECRET\"] = \"mysecret\"\nsecretmanager = secretmanager.AwsSecretManager()\nmysecret = secretmanager.get_secret()\n```\n\nOr pass in secret_key name ..\n```python\nfrom aws_python_utils import secretmanager\nimport os\n\nsecretmanager = secretmanager.AwsSecretManager()\nmysecret = secretmanager.get_secret(secret_key=\"mysecret\")\n```\n\n### S3 Util\n* Streams an s3 object directly into a pandas DataFrame to avoid writing to disk and then loading from disk\n* Uploads a DataFrame directly to s3\n\n###### Example Usage\n```python\nfrom aws_python_utils import s3\nfrom io import BytesIO\nimport pandas as pd\nimport numpy as np\n\nbucket,key = s3.AwsS3.get_bucket_and_key_from_s3_path(\"s3://my-bucket/mypath/to/object\")\n\nprint(\"bucket = \" + bucket)  # my-bucket\nprint(\"key = \" + key)        # mypath/to/object\n\n# download a tab separated file schema: id    val1  val2\ndf = s3.AwsS3.download_s3_file(s3_path, header=0, sep='\\t', index='id')\n\ndf2 = pd.DataFrame(np.random.randint(low=0, high=10, size=(5, 5)), columns=['a', 'b', 'c', 'd', 'e'])\nio_buffer = BytesIO()\ndf2.to_csv(io_buffer, columns=['a', 'c', 'e'], sep='\\t', index=False)\n\ns3.AwsS3.upload_to_s3(\"s3://your-bucket/path/to/object.tsv\", io_buffer)\n```\n\n### EC2 Util\n* Ami cleaner to mop up old ami's\n\n###### Example Usage\n```python\nfrom aws_python_utils.ec2 import AwsEC2\nfrom datetime import datetime\n\nec2 = AwsEC2()\n# keep latest 5 ami'\nec2.clean_images(\"my-service-ami-dev-*\", num_to_keep=5, cutoff_date=datetime(2018, 8, 1), images_to_keep=['ami-keepmeid'])\n\n```",
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