Update README.rst

Author: ertugrullKara

README.rst

@@ -332,6 +332,232 @@ license is available at: http://aws.amazon.com/apache2.0/
 Verifying the Signature
 -----------------------
 
-.. include:: signing.rst
+This section describes the recommended process of verifying the validity of the
+AWS Data Science Workflows Python SDK's compiled distributions on
+`PyPI <https://pypi.org/project/stepfunctions/>`__.
+
+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 <[email protected]>" 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 <key-value>
+
+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
+  <[email protected]> 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 <path-to-detached-signature-file>
+
+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 <[email protected]>" [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 <[email protected]>", 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.
+
 
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