diff --git a/doc/services.rst b/doc/services.rst new file mode 100644 index 0000000..1ac3738 --- /dev/null +++ b/doc/services.rst @@ -0,0 +1,50 @@ +Service Integrations +===================== + +This module provides classes to build steps that integrate with Amazon DynamoDB, Amazon SNS, Amazon SQS and Amazon EMR. + + +**Table of Contents** + +- `Amazon DynamoDB <#amazon-dynamodb>`__ + +- `Amazon SNS <#amazon-sns>`__ + +- `Amazon SQS <#amazon-sqs>`__ + +- `Amazon EMR <#amazon-emr>`__ + + +Amazon DynamoDB +---------------- +.. autoclass:: stepfunctions.steps.service.DynamoDBGetItemStep + +.. autoclass:: stepfunctions.steps.service.DynamoDBPutItemStep + +.. autoclass:: stepfunctions.steps.service.DynamoDBDeleteItemStep + +.. autoclass:: stepfunctions.steps.service.DynamoDBUpdateItemStep + +Amazon SNS +----------- +.. autoclass:: stepfunctions.steps.service.SnsPublishStep + +Amazon SQS +----------- +.. autoclass:: stepfunctions.steps.service.SqsSendMessageStep + +Amazon EMR +----------- +.. autoclass:: stepfunctions.steps.service.EmrCreateClusterStep + +.. autoclass:: stepfunctions.steps.service.EmrTerminateClusterStep + +.. autoclass:: stepfunctions.steps.service.EmrAddStepStep + +.. autoclass:: stepfunctions.steps.service.EmrCancelStepStep + +.. autoclass:: stepfunctions.steps.service.EmrSetClusterTerminationProtectionStep + +.. autoclass:: stepfunctions.steps.service.EmrModifyInstanceFleetByNameStep + +.. autoclass:: stepfunctions.steps.service.EmrModifyInstanceGroupByNameStep diff --git a/doc/signing.rst b/doc/signing.rst deleted file mode 100644 index c8c0039..0000000 --- a/doc/signing.rst +++ /dev/null @@ -1,226 +0,0 @@ -This section describes the recommended process of verifying the validity of the -AWS Data Science Workflows Python SDK's compiled distributions on -`PyPI `__. - -Whenever you download an application from the internet, we recommend that you -authenticate the identity of the software publisher and check that the -application is not altered or corrupted since it was published. This protects -you from installing a version of the application that contains a virus or other -malicious code. - -If after running the steps in this topic, you determine that the distribution -for the AWS Data Science Workflows Python SDK is altered or corrupted, do NOT -install the package. Instead, contact AWS Support (https://aws.amazon.com/contact-us/). - -AWS Data Science Workflows Python SDK distributions on PyPI are signed using -GnuPG, an open source implementation of the Pretty Good Privacy (OpenPGP) -standard for secure digital signatures. GnuPG (also known as GPG) provides -authentication and integrity checking through a digital signature. For more -information about PGP and GnuPG (GPG), see http://www.gnupg.org. - -The first step is to establish trust with the software publisher. Download the -public key of the software publisher, check that the owner of the public key is -who they claim to be, and then add the public key to your keyring. Your keyring -is a collection of known public keys. After you establish the authenticity of -the public key, you can use it to verify the signature of the application. - -Topics -~~~~~~ - -1. `Installing the GPG Tools <#installing-the-gpg-tools>`__ -2. `Authenticating and Importing the Public Key <#authenticating-and-importing-the-public-key>`__ -3. `Verify the Signature of the Package <#verify-the-signature-of-the-package>`__ - -Installing the GPG Tools -~~~~~~~~~~~~~~~~~~~~~~~~ - -If your operating system is Linux or Unix, the GPG tools are likely already -installed. To test whether the tools are installed on your system, type -**gpg** at a command prompt. If the GPG tools are installed, you see a GPG -command prompt. If the GPG tools are not installed, you see an error stating -that the command cannot be found. You can install the GnuPG package from a -repository. - -**To install GPG tools on Debian-based Linux** - -From a terminal, run the following command: **apt-get install gnupg** - -**To install GPG tools on Red Hat–based Linux** - -From a terminal, run the following command: **yum install gnupg** - -Authenticating and Importing the Public Key -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The next step in the process is to authenticate the AWS Data Science Workflows -Python SDK public key and add it as a trusted key in your GPG keyring. - -To authenticate and import the AWS Data Science Workflows Python SDK public key - -1. Copy the key from the following text and paste it into a file called -`data_science_workflows.key`. Make sure to include everything that follows: - -.. code-block:: text - - -----BEGIN PGP PUBLIC KEY BLOCK----- - - mQINBF27JXsBEAC18lOq7/SmynwuTJZdzoSaYzfPjt+3RN5oFLd9VY559sLb1aqV - ph+RPu35YOR0GbR76NQZV6p2OicunvjmvvOKXzud8nsV3gjcSCdxn22YwVDdFdx9 - N0dMOzo126kFIkubWNsBZDxzGsgIsku82+OKJbdSZyGEs7eOQCqieVpubnAk/pc5 - J4sqYDFhL2ijCIwAW6YUx4WEMq1ysVVcoNIo5J3+f1NzJZBvI9xwf+R2AnX06EZb - FFIcX6kx5B8Sz6s4AI0EVFt9YOjtD+y6aBs3e63wx9etahq5No26NffNEve+pw3o - FTU7sq6HxX/cE+ssJALAwV/3/1OiluZ/icePgYvsl8UWkkULsnHEImW2vZOe9UCw - 9CYb7lgqMCd9o14kQy0+SeTS3EdFH+ONRub4RMkdT7NV5wfzgD4WpSYban1YLJYx - XLYRIopMzWuRLSUKMHzqsN48UlNwUVzvpPlcVIAotzQQbgFaeWlW1Fvv3awqaF7Q - lnt0EBX5n71LJNDmpTRPtICnxcVsNXT1Uctk1mtzYwuMrxk0pDJZs06qPLwehwmO - 4A4bQCZ/1aVnXaauzshP7kzgPWG6kqOcSbn3VA/yhfDX/NBeY3Xg1ECDlFxmCrrV - D7xqpZgVaztHbRIOr6ANKLMf72ZmqxiYayrFlLLOkJYtNCaC8igO5Baf2wARAQAB - tFBTdGVwZnVuY3Rpb25zLVB5dGhvbi1TREstU2lnbmluZyA8c3RlcGZ1bmN0aW9u - cy1kZXZlbG9wZXItZXhwZXJpZW5jZUBhbWF6b24uY29tPokCVAQTAQgAPhYhBMwW - BXe3v509bl1RxWDrEDrjFKgJBQJduyV7AhsDBQkUsSsABQsJCAcCBhUKCQgLAgQW - AgMBAh4BAheAAAoJEGDrEDrjFKgJq5IP/25LVDaA3itCICBP2/eu8KkUJ437oZDr - +3z59z7p4mvispmEzi4OOb1lMGBH+MdhkgblrcSaj4XcIslTkfKD4gP/cMSl14hb - X/OIxEXFXvTq4PmWUCgl5NtsyAbgB3pAxGUfNAXR2dV3MJFAHSOVUK5Es4/kAj4a - 5lra+1MwZZMDqhMTYuvTclIqPA/PXafkgL5g15JA5lFDyFQ2zuV1BgQlKh7o24Jw - a1kDB0aSePkrh4gJHXAEoGDjX2mcGhEjlBvCH4ay7VGoG6l+rjcHnqSiVX0tg9dZ - Ilc7RTR+1LX7jx8wdsYSUGekADy6wGTjk9HBTafh8Bl8sR2eNoH1qZuIn/YIHxkR - JPH/74hG71pjS4FWPBbbPrdkC/G47mXMfLUrGpigcgkhePuA1BBW30U0ZZWWDHsf - ISxp8hcQkR5gFhU+37tsC06pwihhDWgx4kTfeTmNqkl03fTH5lwNsig0HSpUINWR - +EWN0jXb8DtjMzZbiDhLxQX9U3HBEdw2g2/Ktsqv+MM1P1choEGNtzots3V9fqMY - Txy7MkYLtRDYu+sX5DNob309vPzbI4b3KBv6hCRJdnICjBvgL6C8WHaLm6+FU+68 - rFRKw6WImWHyygdnv8Bzdq4h+MaTE6AhteYutd+ZTWpazfE1h0ngrEerQju2VLZP - LAACxHBQNjT+uQINBF27JXsBEAC/PDJmWIkJBdnOmPU/W0SosOZRMvzs/KR89qeI - ebT8O0rNFeHR6Iql5ak6kGeDLwnzcOOwqamO+vwGmRScwPT6NF9+HDkXCzITOE22 - 71zKVjGVf+tX5kHJzT8ZqQBxvnk5Cx/d7sr3kwLBhhygHLS/kn2K9fhYwbtsQTLE - o9XvTBOip+DohHHJjZHcboeYnZ2g2b8Gnwe4cz75ogFNcuHZXusr8Y6enJX8wTBy - /AvXPVUIyrHbrXcHaNS3UYKzbhkH6W1cfkV6Bb49FKYkxH0N1ZeooyS6zXyf0X4n - TAbyCfoFYQ68KC17/pGMOXtR/UlqDeJe0sFeyyTHKjdSTDpA+WKKJJZ5BSCYQ5Hq - ewy6mvaIcKURExIZyNqRHRhb4p/0BA7eXzMCryx1AZPcQnaMVQYJTi5e+HSnOxnK - AB7jm2HHPHCRgO4qvavr5dIlEoKBM6qya1KVqoarw5hv8J8+R9ECn4kWZ8QjBlgO - y65q/b3mwqK0rVA1w73BPWea/xLCLrqqVRGa/fB7dhTnPfn+BpaQ3qruLinIJatM - 8c2/p1LZ1nuWgrssSkSMn3TlffF0Lq9jtcbi7K11A082RiB2L0lu+j8r07RgVQvZ - 4UliS1Lklsp7Ixh+zoR712hKPQpNVLstEHTxQhXZTWAk/Ih7b9ukrL/1HJAnhZBe - uBhDDQARAQABiQI8BBgBCAAmFiEEzBYFd7e/nT1uXVHFYOsQOuMUqAkFAl27JXsC - GwwFCRSxKwAACgkQYOsQOuMUqAnJvA//SDQZxf0zbge8o9kGfrm7bnExz8a6sxEn - urooUaSk3isbGFAUg+Q7rQ+ViG9gDG74F5liwwcKoBct/Z9tCi/7p3QI0BE0bM1j - IHdm5dXaZAcMlUy6f0p3DO3qE2IjnNjEjvpm7Xzt6tKJu/scZQNdQxG/CDn5+ezm - nIatgDV6ugDDv/2o0BXMyAZT008T/QLR2U5dEsbt9H3Bzl4Ska6gjak2ToJL0T61 - 1dZjfv/1UbeYRPFCO6CsLj9uEq+RoHAsvAS4rl9HyM3b2sVzr8CMsP6LVdqlA2Qz - /nIBd+GuLofi3/PGvvS63ubfqSRGd5VvJXoiRl2WoE8lmyIB5UJfFfd8Zdn6j+hQ - c14VOp89mEfg57BiQXfZnzjFVNkl7T5I2g3X5O8StosncChqiJTSH5C731KUVqxO - xYknFostioIVKmyis/Nwmwr6fIItYyYCwh5YCqAg0r4SLbhFEVXdannUbFPF6upO - EbKlZP3Iyu/kYANMnq+9+GImrPrT/FCpM9RW1GFAnuVBt9Qjs+eRq4DQJl/EaIjZ - cgqz+e5TZNxDK9r2sHC4zGWy88/2GuhD8xh4FH5hBIDJPmHUtKh9XElq187VA4Jg - U0mbryduKMQIyuc6OLzfJUbVTMvKWaPASbGtvAAOwCFtAi33dZ8bOfjQLgOb9uDh - /vQojRxttMc= - =ovUh - -----END PGP PUBLIC KEY BLOCK----- - - -2. At a command prompt in the directory where you saved -`data_science_workflows.key`, use the following command to import the AWS Data -Science Workflows Python SDK public key into your keyring: - -.. code-block:: text - - gpg --import data_science_workflows.key - -The command returns results that are similar to the following: - -.. code-block:: text - - gpg: key 60EB103AE314A809: public key "Stepfunctions-Python-SDK-Signing " imported - gpg: Total number processed: 1 - gpg: imported: 1 - -Make a note of the key value; you need it in the next step. In the preceding -example, the key value is 60EB103AE314A809. - -3. Verify the fingerprint by running the following command, replacing key-value -with the value from the preceding step: - -.. code-block:: text - - gpg --fingerprint - -This command returns results similar to the following: - -.. code-block:: text - - pub rsa4096 2019-10-31 [SC] [expires: 2030-10-31] CC16 0577 B7BF 9D3D 6E5D - 51C5 60EB 103A E314 A809 uid [ unknown] - Stepfunctions-Python-SDK-Signing - sub rsa4096 2019-10-31 [E] - [expires: 2030-10-31] - -Additionally, the fingerprint string should be identical to CC16 0577 B7BF -9D3D 6E5D 51C5 60EB 103A E314 A809, as shown in the preceding example. -Compare the key fingerprint that is returned to the one published on this -page. They should match. If they don't match, don't install the AWS Data -Science Workflows Python SDK package, and contact AWS Support. - -Verify the Signature of the Package -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -After you install the GPG tools, authenticate and import the AWS Data Science -Workflows Python SDK public key, and verify that the public key is trusted, you -are ready to verify the signature of the package. - -To verify the package signature, do the following. - -1. Download the detached signature for the package from PyPI - - Go to the downloads section for the Data Science Workflows Python SDK - https://pypi.org/project/stepfunctions/#files on PyPI, Right-click on the SDK - distribution link, and choose "Copy Link Location/Address". - - Append the string ".asc" to the end of the link you copied, and paste this - new link on your browser. - - Your browser will prompt you to download a file, which is the detatched - signature associated with the respective distribution. Save the file on your - local machine. - -2. Verify the signature by running the following command at a command prompt -in the directory where you saved signature file and the AWS Data Science -Workflows Python SDK installation file. Both files must be present. - -.. code-block:: text - - gpg --verify - -The output should look something like the following: - -.. code-block:: text - - gpg: Signature made Thu 31 Oct 12:14:53 2019 PDT - gpg: using RSA key CC160577B7BF9D3D6E5D51C560EB103AE314A809 - gpg: Good signature from "Stepfunctions-Python-SDK-Signing " [unknown] - gpg: WARNING: This key is not certified with a trusted signature! - gpg: There is no indication that the signature belongs to the owner. - Primary key fingerprint: CC16 0577 B7BF 9D3D 6E5D 51C5 60EB 103A E314 A809 - -If the output contains the phrase Good signature from "AWS Data Science -Workflows Python SDK ", it means -that the signature has successfully been verified, and you can proceed to run -the AWS Data Science Workflows Python SDK package. - -If the output includes the phrase BAD signature, check whether you performed the -procedure correctly. If you continue to get this response, don't run the -installation file that you downloaded previously, and contact AWS Support. - -The following are details about the warnings you might see: - -.. code-block:: text - - WARNING: This key is not certified with a trusted signature! There is no - indication that the signature belongs to the owner. This refers to your - personal level of trust in your belief that you possess an authentic public - key for AWS Data Science Workflows Python SDK. In an ideal world, you would - visit an AWS office and receive the key in person. However, more often you - download it from a website. In this case, the website is an AWS website. - - gpg: no ultimately trusted keys found. This means that the specific key is not - "ultimately trusted" by you (or by other people whom you trust). - -For more information, see http://www.gnupg.org. diff --git a/doc/steps.rst b/doc/steps.rst index 8de4480..394f464 100644 --- a/doc/steps.rst +++ b/doc/steps.rst @@ -21,3 +21,4 @@ Functions. choicerules compute sagemaker + services