Exemples Amazon SES avec le kit SDK pour Python (Boto3) - Exemples de code de kit AWS SDK
ActionsScénarios

D’autres exemples de kits AWS SDK sont disponibles dans le référentiel GitHub AWS Doc SDK Examples.

Exemples Amazon SES avec le kit SDK pour Python (Boto3)

Les exemples de code suivants montrent comment réaliser des actions et mettre en œuvre des scénarios courants en utilisant le kit AWS SDK pour Python (Boto3) avec Amazon SES.

Les actions sont des extraits de code de programmes plus larges et doivent être exécutées dans leur contexte. Alors que les actions vous indiquent comment appeler des fonctions de service individuelles, vous pouvez les voir en contexte dans leurs scénarios associés.

Les Scénarios sont des exemples de code qui vous montrent comment accomplir des tâches spécifiques en appelant plusieurs fonctions au sein d’un même service ou combinés à d’autres Services AWS.

Chaque exemple inclut un lien vers le code source complet, où vous trouverez des instructions sur la configuration et l’exécution du code en contexte.

Actions

L’exemple de code suivant montre comment utiliser CreateReceiptFilter.

SDK pour Python (Boto3)
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class SesReceiptHandler:
    """Encapsulates Amazon SES receipt handling functions."""

    def __init__(self, ses_client, s3_resource):
        """
        :param ses_client: A Boto3 Amazon SES client.
        :param s3_resource: A Boto3 Amazon S3 resource.
        """
        self.ses_client = ses_client
        self.s3_resource = s3_resource


    def create_receipt_filter(self, filter_name, ip_address_or_range, allow):
        """
        Creates a filter that allows or blocks incoming mail from an IP address or
        range.

        :param filter_name: The name to give the filter.
        :param ip_address_or_range: The IP address or range to block or allow.
        :param allow: When True, incoming mail is allowed from the specified IP
                      address or range; otherwise, it is blocked.
        """
        try:
            policy = "Allow" if allow else "Block"
            self.ses_client.create_receipt_filter(
                Filter={
                    "Name": filter_name,
                    "IpFilter": {"Cidr": ip_address_or_range, "Policy": policy},
                }
            )
            logger.info(
                "Created receipt filter %s to %s IP of %s.",
                filter_name,
                policy,
                ip_address_or_range,
            )
        except ClientError:
            logger.exception("Couldn't create receipt filter %s.", filter_name)
            raise

  • Pour de plus amples informations sur l’API, veuillez consulter CreateReceiptFilter dans la référence de l’API du kit SDK AWS for Python (Boto3).

L’exemple de code suivant montre comment utiliser CreateReceiptRule.

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Créez un compartiment Amazon S3 où Amazon SES peut placer des copies d’e-mails entrants et créez une règle qui copie les e-mails entrants dans le compartiment pour une liste spécifique de destinataires.

class SesReceiptHandler:
    """Encapsulates Amazon SES receipt handling functions."""

    def __init__(self, ses_client, s3_resource):
        """
        :param ses_client: A Boto3 Amazon SES client.
        :param s3_resource: A Boto3 Amazon S3 resource.
        """
        self.ses_client = ses_client
        self.s3_resource = s3_resource


    def create_bucket_for_copy(self, bucket_name):
        """
        Creates a bucket that can receive copies of emails from Amazon SES. This
        includes adding a policy to the bucket that grants Amazon SES permission
        to put objects in the bucket.

        :param bucket_name: The name of the bucket to create.
        :return: The newly created bucket.
        """
        allow_ses_put_policy = {
            "Version": "2012-10-17",
            "Statement": [
                {
                    "Sid": "AllowSESPut",
                    "Effect": "Allow",
                    "Principal": {"Service": "ses.amazonaws.com"},
                    "Action": "s3:PutObject",
                    "Resource": f"arn:aws:s3:::{bucket_name}/*",
                }
            ],
        }
        bucket = None
        try:
            bucket = self.s3_resource.create_bucket(
                Bucket=bucket_name,
                CreateBucketConfiguration={
                    "LocationConstraint": self.s3_resource.meta.client.meta.region_name
                },
            )
            bucket.wait_until_exists()
            bucket.Policy().put(Policy=json.dumps(allow_ses_put_policy))
            logger.info("Created bucket %s to receive copies of emails.", bucket_name)
        except ClientError:
            logger.exception("Couldn't create bucket to receive copies of emails.")
            if bucket is not None:
                bucket.delete()
            raise
        else:
            return bucket


    def create_s3_copy_rule(
        self, rule_set_name, rule_name, recipients, bucket_name, prefix
    ):
        """
        Creates a rule so that all emails received by the specified recipients are
        copied to an Amazon S3 bucket.

        :param rule_set_name: The name of a previously created rule set to contain
                              this rule.
        :param rule_name: The name to give the rule.
        :param recipients: When an email is received by one of these recipients, it
                           is copied to the Amazon S3 bucket.
        :param bucket_name: The name of the bucket to receive email copies. This
                            bucket must allow Amazon SES to put objects into it.
        :param prefix: An object key prefix to give the emails copied to the bucket.
        """
        try:
            self.ses_client.create_receipt_rule(
                RuleSetName=rule_set_name,
                Rule={
                    "Name": rule_name,
                    "Enabled": True,
                    "Recipients": recipients,
                    "Actions": [
                        {
                            "S3Action": {
                                "BucketName": bucket_name,
                                "ObjectKeyPrefix": prefix,
                            }
                        }
                    ],
                },
            )
            logger.info(
                "Created rule %s to copy mail received by %s to bucket %s.",
                rule_name,
                recipients,
                bucket_name,
            )
        except ClientError:
            logger.exception("Couldn't create rule %s.", rule_name)
            raise

  • Pour de plus amples informations sur l’API, veuillez consulter CreateReceiptRule dans la référence de l’API du kit SDK AWS for Python (Boto3).

L’exemple de code suivant montre comment utiliser CreateReceiptRuleSet.

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class SesReceiptHandler:
    """Encapsulates Amazon SES receipt handling functions."""

    def __init__(self, ses_client, s3_resource):
        """
        :param ses_client: A Boto3 Amazon SES client.
        :param s3_resource: A Boto3 Amazon S3 resource.
        """
        self.ses_client = ses_client
        self.s3_resource = s3_resource


    def create_receipt_rule_set(self, rule_set_name):
        """
        Creates an empty rule set. Rule sets contain individual rules and can be
        used to organize rules.

        :param rule_set_name: The name to give the rule set.
        """
        try:
            self.ses_client.create_receipt_rule_set(RuleSetName=rule_set_name)
            logger.info("Created receipt rule set %s.", rule_set_name)
        except ClientError:
            logger.exception("Couldn't create receipt rule set %s.", rule_set_name)
            raise

  • Pour de plus amples informations sur l’API, veuillez consulter CreateReceiptRuleSet dans la référence de l’API du kit SDK AWS for Python (Boto3).

L’exemple de code suivant montre comment utiliser CreateTemplate.

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class SesTemplate:
    """Encapsulates Amazon SES template functions."""

    def __init__(self, ses_client):
        """
        :param ses_client: A Boto3 Amazon SES client.
        """
        self.ses_client = ses_client
        self.template = None
        self.template_tags = set()

    def _extract_tags(self, subject, text, html):
        """
        Extracts tags from a template as a set of unique values.

        :param subject: The subject of the email.
        :param text: The text version of the email.
        :param html: The html version of the email.
        """
        self.template_tags = set(re.findall(TEMPLATE_REGEX, subject + text + html))
        logger.info("Extracted template tags: %s", self.template_tags)


    def create_template(self, name, subject, text, html):
        """
        Creates an email template.

        :param name: The name of the template.
        :param subject: The subject of the email.
        :param text: The plain text version of the email.
        :param html: The HTML version of the email.
        """
        try:
            template = {
                "TemplateName": name,
                "SubjectPart": subject,
                "TextPart": text,
                "HtmlPart": html,
            }
            self.ses_client.create_template(Template=template)
            logger.info("Created template %s.", name)
            self.template = template
            self._extract_tags(subject, text, html)
        except ClientError:
            logger.exception("Couldn't create template %s.", name)
            raise

  • Pour de plus amples informations sur l’API, veuillez consulter CreateTemplate dans la référence de l’API du kit SDK AWS for Python (Boto3).

L’exemple de code suivant montre comment utiliser DeleteIdentity.

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class SesIdentity:
    """Encapsulates Amazon SES identity functions."""

    def __init__(self, ses_client):
        """
        :param ses_client: A Boto3 Amazon SES client.
        """
        self.ses_client = ses_client


    def delete_identity(self, identity):
        """
        Deletes an identity.

        :param identity: The identity to remove.
        """
        try:
            self.ses_client.delete_identity(Identity=identity)
            logger.info("Deleted identity %s.", identity)
        except ClientError:
            logger.exception("Couldn't delete identity %s.", identity)
            raise

  • Pour plus d’informations sur l’API, veuillez consulter DeleteIdentity dans la référence de l’API du kit SDK AWS for Python (Boto3).

L’exemple de code suivant montre comment utiliser DeleteReceiptFilter.

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Note

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class SesReceiptHandler:
    """Encapsulates Amazon SES receipt handling functions."""

    def __init__(self, ses_client, s3_resource):
        """
        :param ses_client: A Boto3 Amazon SES client.
        :param s3_resource: A Boto3 Amazon S3 resource.
        """
        self.ses_client = ses_client
        self.s3_resource = s3_resource


    def delete_receipt_filter(self, filter_name):
        """
        Deletes a receipt filter.

        :param filter_name: The name of the filter to delete.
        """
        try:
            self.ses_client.delete_receipt_filter(FilterName=filter_name)
            logger.info("Deleted receipt filter %s.", filter_name)
        except ClientError:
            logger.exception("Couldn't delete receipt filter %s.", filter_name)
            raise

  • Pour plus d’informations sur l’API, veuillez consulter DeleteReceiptFilter dans la référence de l’API du kit SDK AWS for Python (Boto3).

L’exemple de code suivant montre comment utiliser DeleteReceiptRule.

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Note

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class SesReceiptHandler:
    """Encapsulates Amazon SES receipt handling functions."""

    def __init__(self, ses_client, s3_resource):
        """
        :param ses_client: A Boto3 Amazon SES client.
        :param s3_resource: A Boto3 Amazon S3 resource.
        """
        self.ses_client = ses_client
        self.s3_resource = s3_resource


    def delete_receipt_rule(self, rule_set_name, rule_name):
        """
        Deletes a rule.

        :param rule_set_name: The rule set that contains the rule to delete.
        :param rule_name: The rule to delete.
        """
        try:
            self.ses_client.delete_receipt_rule(
                RuleSetName=rule_set_name, RuleName=rule_name
            )
            logger.info("Removed rule %s from rule set %s.", rule_name, rule_set_name)
        except ClientError:
            logger.exception(
                "Couldn't remove rule %s from rule set %s.", rule_name, rule_set_name
            )
            raise

  • Pour plus d’informations sur l’API, veuillez consulter DeleteReceiptRule dans la référence de l’API du kit SDK AWS for Python (Boto3).

L’exemple de code suivant montre comment utiliser DeleteReceiptRuleSet.

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Note

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class SesReceiptHandler:
    """Encapsulates Amazon SES receipt handling functions."""

    def __init__(self, ses_client, s3_resource):
        """
        :param ses_client: A Boto3 Amazon SES client.
        :param s3_resource: A Boto3 Amazon S3 resource.
        """
        self.ses_client = ses_client
        self.s3_resource = s3_resource


    def delete_receipt_rule_set(self, rule_set_name):
        """
        Deletes a rule set. When a rule set is deleted, all of the rules it contains
        are also deleted.

        :param rule_set_name: The name of the rule set to delete.
        """
        try:
            self.ses_client.delete_receipt_rule_set(RuleSetName=rule_set_name)
            logger.info("Deleted rule set %s.", rule_set_name)
        except ClientError:
            logger.exception("Couldn't delete rule set %s.", rule_set_name)
            raise

  • Pour plus d’informations sur l’API, veuillez consulter DeleteReceiptRuleSet dans la référence de l’API du kit SDK AWS for Python (Boto3).

L’exemple de code suivant montre comment utiliser DeleteTemplate.

SDK pour Python (Boto3)
Note

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class SesTemplate:
    """Encapsulates Amazon SES template functions."""

    def __init__(self, ses_client):
        """
        :param ses_client: A Boto3 Amazon SES client.
        """
        self.ses_client = ses_client
        self.template = None
        self.template_tags = set()

    def _extract_tags(self, subject, text, html):
        """
        Extracts tags from a template as a set of unique values.

        :param subject: The subject of the email.
        :param text: The text version of the email.
        :param html: The html version of the email.
        """
        self.template_tags = set(re.findall(TEMPLATE_REGEX, subject + text + html))
        logger.info("Extracted template tags: %s", self.template_tags)


    def delete_template(self):
        """
        Deletes an email template.
        """
        try:
            self.ses_client.delete_template(TemplateName=self.template["TemplateName"])
            logger.info("Deleted template %s.", self.template["TemplateName"])
            self.template = None
            self.template_tags = None
        except ClientError:
            logger.exception(
                "Couldn't delete template %s.", self.template["TemplateName"]
            )
            raise

  • Pour plus d’informations sur l’API, veuillez consulter DeleteTemplate dans la référence de l’API du kit SDK AWS for Python (Boto3).

L’exemple de code suivant montre comment utiliser DescribeReceiptRuleSet.

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class SesReceiptHandler:
    """Encapsulates Amazon SES receipt handling functions."""

    def __init__(self, ses_client, s3_resource):
        """
        :param ses_client: A Boto3 Amazon SES client.
        :param s3_resource: A Boto3 Amazon S3 resource.
        """
        self.ses_client = ses_client
        self.s3_resource = s3_resource


    def describe_receipt_rule_set(self, rule_set_name):
        """
        Gets data about a rule set.

        :param rule_set_name: The name of the rule set to retrieve.
        :return: Data about the rule set.
        """
        try:
            response = self.ses_client.describe_receipt_rule_set(
                RuleSetName=rule_set_name
            )
            logger.info("Got data for rule set %s.", rule_set_name)
        except ClientError:
            logger.exception("Couldn't get data for rule set %s.", rule_set_name)
            raise
        else:
            return response

  • Pour plus d’informations sur l’API, veuillez consulter DescribeReceiptRuleSet dans la référence de l’API du kit SDK AWS for Python (Boto3).

L’exemple de code suivant montre comment utiliser GetIdentityVerificationAttributes.

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class SesIdentity:
    """Encapsulates Amazon SES identity functions."""

    def __init__(self, ses_client):
        """
        :param ses_client: A Boto3 Amazon SES client.
        """
        self.ses_client = ses_client


    def get_identity_status(self, identity):
        """
        Gets the status of an identity. This can be used to discover whether
        an identity has been successfully verified.

        :param identity: The identity to query.
        :return: The status of the identity.
        """
        try:
            response = self.ses_client.get_identity_verification_attributes(
                Identities=[identity]
            )
            status = response["VerificationAttributes"].get(
                identity, {"VerificationStatus": "NotFound"}
            )["VerificationStatus"]
            logger.info("Got status of %s for %s.", status, identity)
        except ClientError:
            logger.exception("Couldn't get status for %s.", identity)
            raise
        else:
            return status

L’exemple de code suivant montre comment utiliser GetTemplate.

SDK pour Python (Boto3)
Note

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class SesTemplate:
    """Encapsulates Amazon SES template functions."""

    def __init__(self, ses_client):
        """
        :param ses_client: A Boto3 Amazon SES client.
        """
        self.ses_client = ses_client
        self.template = None
        self.template_tags = set()

    def _extract_tags(self, subject, text, html):
        """
        Extracts tags from a template as a set of unique values.

        :param subject: The subject of the email.
        :param text: The text version of the email.
        :param html: The html version of the email.
        """
        self.template_tags = set(re.findall(TEMPLATE_REGEX, subject + text + html))
        logger.info("Extracted template tags: %s", self.template_tags)


    def get_template(self, name):
        """
        Gets a previously created email template.

        :param name: The name of the template to retrieve.
        :return: The retrieved email template.
        """
        try:
            response = self.ses_client.get_template(TemplateName=name)
            self.template = response["Template"]
            logger.info("Got template %s.", name)
            self._extract_tags(
                self.template["SubjectPart"],
                self.template["TextPart"],
                self.template["HtmlPart"],
            )
        except ClientError:
            logger.exception("Couldn't get template %s.", name)
            raise
        else:
            return self.template

  • Pour plus d’informations sur l’API, veuillez consulter GetTemplate dans la référence de l’API du kit SDK AWS for Python (Boto3).

L’exemple de code suivant montre comment utiliser ListIdentities.

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Note

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class SesIdentity:
    """Encapsulates Amazon SES identity functions."""

    def __init__(self, ses_client):
        """
        :param ses_client: A Boto3 Amazon SES client.
        """
        self.ses_client = ses_client


    def list_identities(self, identity_type, max_items):
        """
        Gets the identities of the specified type for the current account.

        :param identity_type: The type of identity to retrieve, such as EmailAddress.
        :param max_items: The maximum number of identities to retrieve.
        :return: The list of retrieved identities.
        """
        try:
            response = self.ses_client.list_identities(
                IdentityType=identity_type, MaxItems=max_items
            )
            identities = response["Identities"]
            logger.info("Got %s identities for the current account.", len(identities))
        except ClientError:
            logger.exception("Couldn't list identities for the current account.")
            raise
        else:
            return identities

  • Pour plus d’informations sur l’API, veuillez consulter ListIdentities dans la référence de l’API du kit SDK AWS for Python (Boto3).

L’exemple de code suivant montre comment utiliser ListReceiptFilters.

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class SesReceiptHandler:
    """Encapsulates Amazon SES receipt handling functions."""

    def __init__(self, ses_client, s3_resource):
        """
        :param ses_client: A Boto3 Amazon SES client.
        :param s3_resource: A Boto3 Amazon S3 resource.
        """
        self.ses_client = ses_client
        self.s3_resource = s3_resource


    def list_receipt_filters(self):
        """
        Gets the list of receipt filters for the current account.

        :return: The list of receipt filters.
        """
        try:
            response = self.ses_client.list_receipt_filters()
            filters = response["Filters"]
            logger.info("Got %s receipt filters.", len(filters))
        except ClientError:
            logger.exception("Couldn't get receipt filters.")
            raise
        else:
            return filters

  • Pour plus d’informations sur l’API, veuillez consulter ListReceiptFilters dans la référence de l’API du kit SDK AWS for Python (Boto3).

L’exemple de code suivant montre comment utiliser ListTemplates.

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class SesTemplate:
    """Encapsulates Amazon SES template functions."""

    def __init__(self, ses_client):
        """
        :param ses_client: A Boto3 Amazon SES client.
        """
        self.ses_client = ses_client
        self.template = None
        self.template_tags = set()

    def _extract_tags(self, subject, text, html):
        """
        Extracts tags from a template as a set of unique values.

        :param subject: The subject of the email.
        :param text: The text version of the email.
        :param html: The html version of the email.
        """
        self.template_tags = set(re.findall(TEMPLATE_REGEX, subject + text + html))
        logger.info("Extracted template tags: %s", self.template_tags)


    def list_templates(self):
        """
        Gets a list of all email templates for the current account.

        :return: The list of retrieved email templates.
        """
        try:
            response = self.ses_client.list_templates()
            templates = response["TemplatesMetadata"]
            logger.info("Got %s templates.", len(templates))
        except ClientError:
            logger.exception("Couldn't get templates.")
            raise
        else:
            return templates

  • Pour plus d’informations sur l’API, veuillez consulter ListTemplates dans la référence de l’API du kit SDK AWS for Python (Boto3).

L’exemple de code suivant montre comment utiliser SendEmail.

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class SesMailSender:
    """Encapsulates functions to send emails with Amazon SES."""

    def __init__(self, ses_client):
        """
        :param ses_client: A Boto3 Amazon SES client.
        """
        self.ses_client = ses_client


    def send_email(self, source, destination, subject, text, html, reply_tos=None):
        """
        Sends an email.

        Note: If your account is in the Amazon SES  sandbox, the source and
        destination email accounts must both be verified.

        :param source: The source email account.
        :param destination: The destination email account.
        :param subject: The subject of the email.
        :param text: The plain text version of the body of the email.
        :param html: The HTML version of the body of the email.
        :param reply_tos: Email accounts that will receive a reply if the recipient
                          replies to the message.
        :return: The ID of the message, assigned by Amazon SES.
        """
        send_args = {
            "Source": source,
            "Destination": destination.to_service_format(),
            "Message": {
                "Subject": {"Data": subject},
                "Body": {"Text": {"Data": text}, "Html": {"Data": html}},
            },
        }
        if reply_tos is not None:
            send_args["ReplyToAddresses"] = reply_tos
        try:
            response = self.ses_client.send_email(**send_args)
            message_id = response["MessageId"]
            logger.info(
                "Sent mail %s from %s to %s.", message_id, source, destination.tos
            )
        except ClientError:
            logger.exception(
                "Couldn't send mail from %s to %s.", source, destination.tos
            )
            raise
        else:
            return message_id

  • Pour plus d’informations sur l’API, veuillez consulter SendEmail dans la référence de l’API du kit SDK AWS for Python (Boto3).

L’exemple de code suivant montre comment utiliser SendTemplatedEmail.

SDK pour Python (Boto3)
Note

Il y en a plus sur GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le référentiel d’exemples de code AWS. 

class SesMailSender:
    """Encapsulates functions to send emails with Amazon SES."""

    def __init__(self, ses_client):
        """
        :param ses_client: A Boto3 Amazon SES client.
        """
        self.ses_client = ses_client


    def send_templated_email(
        self, source, destination, template_name, template_data, reply_tos=None
    ):
        """
        Sends an email based on a template. A template contains replaceable tags
        each enclosed in two curly braces, such as {{name}}. The template data passed
        in this function contains key-value pairs that define the values to insert
        in place of the template tags.

        Note: If your account is in the Amazon SES  sandbox, the source and
        destination email accounts must both be verified.

        :param source: The source email account.
        :param destination: The destination email account.
        :param template_name: The name of a previously created template.
        :param template_data: JSON-formatted key-value pairs of replacement values
                              that are inserted in the template before it is sent.
        :return: The ID of the message, assigned by Amazon SES.
        """
        send_args = {
            "Source": source,
            "Destination": destination.to_service_format(),
            "Template": template_name,
            "TemplateData": json.dumps(template_data),
        }
        if reply_tos is not None:
            send_args["ReplyToAddresses"] = reply_tos
        try:
            response = self.ses_client.send_templated_email(**send_args)
            message_id = response["MessageId"]
            logger.info(
                "Sent templated mail %s from %s to %s.",
                message_id,
                source,
                destination.tos,
            )
        except ClientError:
            logger.exception(
                "Couldn't send templated mail from %s to %s.", source, destination.tos
            )
            raise
        else:
            return message_id

  • Pour plus d’informations sur l’API, veuillez consulter SendTemplatedEmail dans la référence de l’API du kit SDK AWS for Python (Boto3).

L’exemple de code suivant montre comment utiliser UpdateTemplate.

SDK pour Python (Boto3)
Note

Il y en a plus sur GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le référentiel d’exemples de code AWS. 

class SesTemplate:
    """Encapsulates Amazon SES template functions."""

    def __init__(self, ses_client):
        """
        :param ses_client: A Boto3 Amazon SES client.
        """
        self.ses_client = ses_client
        self.template = None
        self.template_tags = set()

    def _extract_tags(self, subject, text, html):
        """
        Extracts tags from a template as a set of unique values.

        :param subject: The subject of the email.
        :param text: The text version of the email.
        :param html: The html version of the email.
        """
        self.template_tags = set(re.findall(TEMPLATE_REGEX, subject + text + html))
        logger.info("Extracted template tags: %s", self.template_tags)


    def update_template(self, name, subject, text, html):
        """
        Updates a previously created email template.

        :param name: The name of the template.
        :param subject: The subject of the email.
        :param text: The plain text version of the email.
        :param html: The HTML version of the email.
        """
        try:
            template = {
                "TemplateName": name,
                "SubjectPart": subject,
                "TextPart": text,
                "HtmlPart": html,
            }
            self.ses_client.update_template(Template=template)
            logger.info("Updated template %s.", name)
            self.template = template
            self._extract_tags(subject, text, html)
        except ClientError:
            logger.exception("Couldn't update template %s.", name)
            raise

  • Pour plus d’informations sur l’API, veuillez consulter UpdateTemplate dans la référence de l’API du kit SDK AWS for Python (Boto3).

L’exemple de code suivant montre comment utiliser VerifyDomainIdentity.

SDK pour Python (Boto3)
Note

Il y en a plus sur GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le référentiel d’exemples de code AWS. 

class SesIdentity:
    """Encapsulates Amazon SES identity functions."""

    def __init__(self, ses_client):
        """
        :param ses_client: A Boto3 Amazon SES client.
        """
        self.ses_client = ses_client


    def verify_domain_identity(self, domain_name):
        """
        Starts verification of a domain identity. To complete verification, you must
        create a TXT record with a specific format through your DNS provider.

        For more information, see *Verifying a domain with Amazon SES* in the
        Amazon SES documentation:
            https://docs.aws.amazon.com/ses/latest/DeveloperGuide/verify-domain-procedure.html

        :param domain_name: The name of the domain to verify.
        :return: The token to include in the TXT record with your DNS provider.
        """
        try:
            response = self.ses_client.verify_domain_identity(Domain=domain_name)
            token = response["VerificationToken"]
            logger.info("Got domain verification token for %s.", domain_name)
        except ClientError:
            logger.exception("Couldn't verify domain %s.", domain_name)
            raise
        else:
            return token

  • Pour plus d’informations sur l’API, veuillez consulter VerifyDomainIdentity dans la référence de l’API du kit SDK AWS for Python (Boto3).

L’exemple de code suivant montre comment utiliser VerifyEmailIdentity.

SDK pour Python (Boto3)
Note

Il y en a plus sur GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le référentiel d’exemples de code AWS. 

class SesIdentity:
    """Encapsulates Amazon SES identity functions."""

    def __init__(self, ses_client):
        """
        :param ses_client: A Boto3 Amazon SES client.
        """
        self.ses_client = ses_client


    def verify_email_identity(self, email_address):
        """
        Starts verification of an email identity. This function causes an email
        to be sent to the specified email address from Amazon SES. To complete
        verification, follow the instructions in the email.

        :param email_address: The email address to verify.
        """
        try:
            self.ses_client.verify_email_identity(EmailAddress=email_address)
            logger.info("Started verification of %s.", email_address)
        except ClientError:
            logger.exception("Couldn't start verification of %s.", email_address)
            raise

  • Pour plus d’informations sur l’API, veuillez consulter VerifyEmailIdentity dans la référence de l’API du kit SDK AWS for Python (Boto3).

Scénarios

L’exemple de code suivant montre comment copier les identités de domaine et d’e-mail Amazon SES depuis une Région AWS vers une autre. Lorsque les identités de domaine sont gérées par Route 53, les registres de vérification sont copiés dans le domaine de la Région de destination.

SDK pour Python (Boto3)
Note

Il y en a plus sur GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le référentiel d’exemples de code AWS. 

import argparse
import json
import logging
from pprint import pprint
import boto3
from botocore.exceptions import ClientError

logger = logging.getLogger(__name__)


def get_identities(ses_client):
    """
    Gets the identities for the current Region. The Region is specified in the
    Boto3 Amazon SES client object.

    :param ses_client: A Boto3 Amazon SES client.
    :return: The list of email identities and the list of domain identities.
    """
    email_identities = []
    domain_identities = []
    try:
        identity_paginator = ses_client.get_paginator("list_identities")
        identity_iterator = identity_paginator.paginate(
            PaginationConfig={"PageSize": 20}
        )
        for identity_page in identity_iterator:
            for identity in identity_page["Identities"]:
                if "@" in identity:
                    email_identities.append(identity)
                else:
                    domain_identities.append(identity)
        logger.info(
            "Found %s email and %s domain identities.",
            len(email_identities),
            len(domain_identities),
        )
    except ClientError:
        logger.exception("Couldn't get identities.")
        raise
    else:
        return email_identities, domain_identities


def verify_emails(email_list, ses_client):
    """
    Starts verification of a list of email addresses. Verification causes an email
    to be sent to each address. To complete verification, the recipient must follow
    the instructions in the email.

    :param email_list: The list of email addresses to verify.
    :param ses_client: A Boto3 Amazon SES client.
    :return: The list of emails that were successfully submitted for verification.
    """
    verified_emails = []
    for email in email_list:
        try:
            ses_client.verify_email_identity(EmailAddress=email)
            verified_emails.append(email)
            logger.info("Started verification of %s.", email)
        except ClientError:
            logger.warning("Couldn't start verification of %s.", email)
    return verified_emails


def verify_domains(domain_list, ses_client):
    """
    Starts verification for a list of domain identities. This returns a token for
    each domain, which must be registered as a TXT record with the DNS provider for
    the domain.

    :param domain_list: The list of domains to verify.
    :param ses_client: A Boto3 Amazon SES client.
    :return: The generated domain tokens to use to completed verification.
    """
    domain_tokens = {}
    for domain in domain_list:
        try:
            response = ses_client.verify_domain_identity(Domain=domain)
            token = response["VerificationToken"]
            domain_tokens[domain] = token
            logger.info("Got verification token %s for domain %s.", token, domain)
        except ClientError:
            logger.warning("Couldn't get verification token for domain %s.", domain)
    return domain_tokens


def get_hosted_zones(route53_client):
    """
    Gets the Amazon Route 53 hosted zones for the current account.

    :param route53_client: A Boto3 Route 53 client.
    :return: The list of hosted zones.
    """
    zones = []
    try:
        zone_paginator = route53_client.get_paginator("list_hosted_zones")
        zone_iterator = zone_paginator.paginate(PaginationConfig={"PageSize": 20})
        zones = [
            zone for zone_page in zone_iterator for zone in zone_page["HostedZones"]
        ]
        logger.info("Found %s hosted zones.", len(zones))
    except ClientError:
        logger.warning("Couldn't get hosted zones.")
    return zones


def find_domain_zone_matches(domains, zones):
    """
    Finds matches between Amazon SES verified domains and Route 53 hosted zones.
    Subdomain matches are taken when found, otherwise root domain matches are taken.

    :param domains: The list of domains to match.
    :param zones: The list of hosted zones to match.
    :return: The set of matched domain-zone pairs. When a match is not found, the
             domain is included in the set with a zone value of None.
    """
    domain_zones = {}
    for domain in domains:
        domain_zones[domain] = None
        # Start at the most specific sub-domain and walk up to the root domain until a
        # zone match is found.
        domain_split = domain.split(".")
        for index in range(0, len(domain_split) - 1):
            sub_domain = ".".join(domain_split[index:])
            for zone in zones:
                # Normalize the zone name from Route 53 by removing the trailing '.'.
                zone_name = zone["Name"][:-1]
                if sub_domain == zone_name:
                    domain_zones[domain] = zone
                    break
            if domain_zones[domain] is not None:
                break
    return domain_zones


def add_route53_verification_record(domain, token, zone, route53_client):
    """
    Adds a domain verification TXT record to the specified Route 53 hosted zone.
    When a TXT record already exists in the hosted zone for the specified domain,
    the existing values are preserved and the new token is added to the list.

    :param domain: The domain to add.
    :param token: The verification token for the domain.
    :param zone: The hosted zone where the domain verification record is added.
    :param route53_client: A Boto3 Route 53 client.
    """
    domain_token_record_set_name = f"_amazonses.{domain}"
    record_set_paginator = route53_client.get_paginator("list_resource_record_sets")
    record_set_iterator = record_set_paginator.paginate(
        HostedZoneId=zone["Id"], PaginationConfig={"PageSize": 20}
    )
    records = []
    for record_set_page in record_set_iterator:
        try:
            txt_record_set = next(
                record_set
                for record_set in record_set_page["ResourceRecordSets"]
                if record_set["Name"][:-1] == domain_token_record_set_name
                and record_set["Type"] == "TXT"
            )
            records = txt_record_set["ResourceRecords"]
            logger.info(
                "Existing TXT record found in set %s for zone %s.",
                domain_token_record_set_name,
                zone["Name"],
            )
            break
        except StopIteration:
            pass
    records.append({"Value": json.dumps(token)})
    changes = [
        {
            "Action": "UPSERT",
            "ResourceRecordSet": {
                "Name": domain_token_record_set_name,
                "Type": "TXT",
                "TTL": 1800,
                "ResourceRecords": records,
            },
        }
    ]
    try:
        route53_client.change_resource_record_sets(
            HostedZoneId=zone["Id"], ChangeBatch={"Changes": changes}
        )
        logger.info(
            "Created or updated the TXT record in set %s for zone %s.",
            domain_token_record_set_name,
            zone["Name"],
        )
    except ClientError as err:
        logger.warning(
            "Got error %s. Couldn't create or update the TXT record for zone %s.",
            err.response["Error"]["Code"],
            zone["Name"],
        )


def generate_dkim_tokens(domain, ses_client):
    """
    Generates DKIM tokens for a domain. These must be added as CNAME records to the
    DNS provider for the domain.

    :param domain: The domain to generate tokens for.
    :param ses_client: A Boto3 Amazon SES client.
    :return: The list of generated DKIM tokens.
    """
    dkim_tokens = []
    try:
        dkim_tokens = ses_client.verify_domain_dkim(Domain=domain)["DkimTokens"]
        logger.info("Generated %s DKIM tokens for domain %s.", len(dkim_tokens), domain)
    except ClientError:
        logger.warning("Couldn't generate DKIM tokens for domain %s.", domain)
    return dkim_tokens


def add_dkim_domain_tokens(hosted_zone, domain, tokens, route53_client):
    """
    Adds DKIM domain token CNAME records to a Route 53 hosted zone.

    :param hosted_zone: The hosted zone where the records are added.
    :param domain: The domain to add.
    :param tokens: The DKIM tokens for the domain to add.
    :param route53_client: A Boto3 Route 53 client.
    """
    try:
        changes = [
            {
                "Action": "UPSERT",
                "ResourceRecordSet": {
                    "Name": f"{token}._domainkey.{domain}",
                    "Type": "CNAME",
                    "TTL": 1800,
                    "ResourceRecords": [{"Value": f"{token}.dkim.amazonses.com"}],
                },
            }
            for token in tokens
        ]
        route53_client.change_resource_record_sets(
            HostedZoneId=hosted_zone["Id"], ChangeBatch={"Changes": changes}
        )
        logger.info(
            "Added %s DKIM CNAME records to %s in zone %s.",
            len(tokens),
            domain,
            hosted_zone["Name"],
        )
    except ClientError:
        logger.warning(
            "Couldn't add DKIM CNAME records for %s to zone %s.",
            domain,
            hosted_zone["Name"],
        )


def configure_sns_topics(identity, topics, ses_client):
    """
    Configures Amazon Simple Notification Service (Amazon SNS) notifications for
    an identity. The Amazon SNS topics must already exist.

    :param identity: The identity to configure.
    :param topics: The list of topics to configure. The choices are Bounce, Delivery,
                   or Complaint.
    :param ses_client: A Boto3 Amazon SES client.
    """
    for topic in topics:
        topic_arn = input(
            f"Enter the Amazon Resource Name (ARN) of the {topic} topic or press "
            f"Enter to skip: "
        )
        if topic_arn != "":
            try:
                ses_client.set_identity_notification_topic(
                    Identity=identity, NotificationType=topic, SnsTopic=topic_arn
                )
                logger.info("Configured %s for %s notifications.", identity, topic)
            except ClientError:
                logger.warning(
                    "Couldn't configure %s for %s notifications.", identity, topic
                )


def replicate(source_client, destination_client, route53_client):
    logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s")

    print("-" * 88)
    print(
        f"Replicating Amazon SES identities and other configuration from "
        f"{source_client.meta.region_name} to {destination_client.meta.region_name}."
    )
    print("-" * 88)

    print(f"Retrieving identities from {source_client.meta.region_name}.")
    source_emails, source_domains = get_identities(source_client)
    print("Email addresses found:")
    print(*source_emails)
    print("Domains found:")
    print(*source_domains)

    print("Starting verification for email identities.")
    dest_emails = verify_emails(source_emails, destination_client)
    print("Getting domain tokens for domain identities.")
    dest_domain_tokens = verify_domains(source_domains, destination_client)

    # Get Route 53 hosted zones and match them with Amazon SES domains.
    answer = input(
        "Is the DNS configuration for your domains managed by Amazon Route 53 (y/n)? "
    )
    use_route53 = answer.lower() == "y"
    hosted_zones = get_hosted_zones(route53_client) if use_route53 else []
    if use_route53:
        print("Adding or updating Route 53 TXT records for your domains.")
        domain_zones = find_domain_zone_matches(dest_domain_tokens.keys(), hosted_zones)
        for domain in domain_zones:
            add_route53_verification_record(
                domain, dest_domain_tokens[domain], domain_zones[domain], route53_client
            )
    else:
        print(
            "Use these verification tokens to create TXT records through your DNS "
            "provider:"
        )
        pprint(dest_domain_tokens)

    answer = input("Do you want to configure DKIM signing for your identities (y/n)? ")
    if answer.lower() == "y":
        # Build a set of unique domains from email and domain identities.
        domains = {email.split("@")[1] for email in dest_emails}
        domains.update(dest_domain_tokens)
        domain_zones = find_domain_zone_matches(domains, hosted_zones)
        for domain, zone in domain_zones.items():
            answer = input(
                f"Do you want to configure DKIM signing for {domain} (y/n)? "
            )
            if answer.lower() == "y":
                dkim_tokens = generate_dkim_tokens(domain, destination_client)
                if use_route53 and zone is not None:
                    add_dkim_domain_tokens(zone, domain, dkim_tokens, route53_client)
                else:
                    print(
                        "Add the following DKIM tokens as CNAME records through your "
                        "DNS provider:"
                    )
                    print(*dkim_tokens, sep="\n")

    answer = input(
        "Do you want to configure Amazon SNS notifications for your identities (y/n)? "
    )
    if answer.lower() == "y":
        for identity in dest_emails + list(dest_domain_tokens.keys()):
            answer = input(
                f"Do you want to configure Amazon SNS topics for {identity} (y/n)? "
            )
            if answer.lower() == "y":
                configure_sns_topics(
                    identity, ["Bounce", "Delivery", "Complaint"], destination_client
                )

    print(f"Replication complete for {destination_client.meta.region_name}.")
    print("-" * 88)


def main():
    boto3_session = boto3.Session()
    ses_regions = boto3_session.get_available_regions("ses")
    parser = argparse.ArgumentParser(
        description="Copies email address and domain identities from one AWS Region to "
        "another. Optionally adds records for domain verification and DKIM "
        "signing to domains that are managed by Amazon Route 53, "
        "and sets up Amazon SNS notifications for events of interest."
    )
    parser.add_argument(
        "source_region", choices=ses_regions, help="The region to copy from."
    )
    parser.add_argument(
        "destination_region", choices=ses_regions, help="The region to copy to."
    )
    args = parser.parse_args()
    source_client = boto3.client("ses", region_name=args.source_region)
    destination_client = boto3.client("ses", region_name=args.destination_region)
    route53_client = boto3.client("route53")
    replicate(source_client, destination_client, route53_client)


if __name__ == "__main__":
    main()

L’exemple de code suivant montre comment créer une application Web qui suit des éléments de travail dans une table Amazon DynamoDB et envoie des rapports à l’aide d’Amazon Simple Email Service (Amazon SES).

SDK pour Python (Boto3)

Montre comment utiliser le kit AWS SDK pour Python (Boto3) pour créer une application web qui suit des éléments de travail dans Amazon DynamoDB et envoie des rapports par e-mail en utilisant Amazon Simple Email Service (Amazon SES). Cet exemple utilise la structure web Flask pour gérer le routage HTTP et s’intègre à une page web React pour présenter une application web entièrement fonctionnelle.

  • Créez un service Flask REST qui s’intègre aux Services AWS.

  • Lisez, écrivez et mettez à jour les éléments de travail stockés dans une table DynamoDB.

  • Utilisez Amazon SES pour envoyer des rapports par e-mail sur les éléments de travail.

Pour obtenir un code source complet et des instructions sur la configuration et l’exécution, consultez l’exemple complet dans AWS Code Examples Repository (Référentiel d’exemples de code AWS) sur GitHub.

Les services utilisés dans cet exemple

  • DynamoDB

  • Amazon SES

L’exemple de code suivant montre comment créer une application Web qui suit des éléments de travail dans une base de données Amazon Aurora sans serveur et envoie des rapports par e-mail à l’aide d’Amazon Simple Email Service (Amazon SES).

SDK pour Python (Boto3)

Montre comment utiliser le kit AWS SDK pour Python (Boto3) pour créer un service REST qui suit des éléments de travail dans une base de données Amazon Aurora sans serveur et envoie des rapports par e-mail en utilisant Amazon Simple Email Service (Amazon SES). Cet exemple utilise la structure web Flask pour gérer le routage HTTP et s’intègre à une page web React pour présenter une application web entièrement fonctionnelle.

  • Créez un service Flask REST qui s’intègre aux Services AWS.

  • Lisez, écrivez et mettez à jour les éléments de travail stockés dans une base de données Aurora sans serveur.

  • Créez un secret AWS Secrets Manager contenant les informations d’identification de la base de données et utilisez-le pour authentifier les appels à la base de données.

  • Utilisez Amazon SES pour envoyer des rapports par e-mail sur les éléments de travail.

Pour obtenir un code source complet et des instructions sur la configuration et l’exécution, consultez l’exemple complet sur GitHub.

Les services utilisés dans cet exemple

  • Aurora

  • Amazon RDS

  • Services de données Amazon RDS

  • Amazon SES

L’exemple de code suivant montre comment créer une application qui utilise Amazon Rekognition afin de détecter des objets par catégorie dans des images.

SDK pour Python (Boto3)

Vous montre comment utiliser AWS SDK pour Python (Boto3) pour créer une application web qui vous permet d’effectuer les opérations suivantes :

  • Chargez les photos dans un compartiment Amazon Simple Storage Service (Amazon S3).

  • Utilisez Amazon Rekognition pour analyser et étiqueter les photos.

  • Utilisez Amazon Simple Email Service (Amazon SES) pour envoyer des rapports d’analyse d’images par e-mail.

Cet exemple contient deux composants principaux : une page web écrite en JavaScript créée avec React et un service REST écrit en Python construit avec Flask-RESTful.

Vous pouvez utiliser la page web React pour :

  • Affichez une liste d’images stockées dans votre compartiment S3.

  • Chargez des images depuis votre ordinateur dans votre compartiment S3.

  • Affichez des images et des étiquettes qui identifient les éléments détectés dans l’image.

  • Obtenez un rapport de toutes les images de votre compartiment S3 et envoyez un e-mail du rapport.

La page web appelle le service REST. Le service envoie des demandes à AWS pour effectuer les opérations suivantes :

  • Obtenez et filtrez la liste des images de votre compartiment S3.

  • Chargez des photos dans votre compartiment S3.

  • Utilisez Amazon Rekognition pour analyser des photos individuelles et obtenir une liste d’étiquettes qui identifient les éléments détectés sur la photo.

  • Analysez toutes les photos de votre compartiment S3 et utilisez Amazon SES pour envoyer un rapport par e-mail.

Pour obtenir un code source complet et des instructions sur la configuration et l’exécution, consultez l’exemple complet sur GitHub.

Les services utilisés dans cet exemple

  • Amazon Rekognition

  • Amazon S3

  • Amazon SES

L’exemple de code suivant montre comment détecter des personnes et des objets dans une vidéo avec Amazon Rekognition.

SDK pour Python (Boto3)

Utilisez Amazon Rekognition pour détecter des visages, des objets et des personnes dans des vidéos en démarrant des tâches de détection asynchrone. Cet exemple montre également comment configurer Amazon Rekognition pour notifier une rubrique Amazon Simple Notification Service (Amazon SNS) lorsque les tâches sont terminées et abonner une file d’attente Amazon Simple Queue Service (Amazon SQS) à la rubrique. Lorsque la file d’attente reçoit un message concernant une tâche, elle est récupérée et les résultats sont affichés.

Cet exemple est mieux visualisé sur GitHub. Pour obtenir un code source complet et des instructions sur la configuration et l’exécution, consultez l’exemple complet sur GitHub.

Les services utilisés dans cet exemple

  • Amazon Rekognition

  • Amazon S3

  • Amazon SES

  • Amazon SNS

  • Amazon SQS

L’exemple de code suivant montre comment générer des informations d’identification pour vous connecter à un point de terminaison d’un SMTP Amazon SES.

SDK pour Python (Boto3)
Note

Il y en a plus sur GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le référentiel d’exemples de code AWS. 

#!/usr/bin/env python3

import hmac
import hashlib
import base64
import argparse

SMTP_REGIONS = [
    "us-east-2",  # US East (Ohio)
    "us-east-1",  # US East (N. Virginia)
    "us-west-2",  # US West (Oregon)
    "ap-south-1",  # Asia Pacific (Mumbai)
    "ap-northeast-2",  # Asia Pacific (Seoul)
    "ap-southeast-1",  # Asia Pacific (Singapore)
    "ap-southeast-2",  # Asia Pacific (Sydney)
    "ap-northeast-1",  # Asia Pacific (Tokyo)
    "ca-central-1",  # Canada (Central)
    "eu-central-1",  # Europe (Frankfurt)
    "eu-west-1",  # Europe (Ireland)
    "eu-west-2",  # Europe (London)
    "eu-south-1",  # Europe (Milan)
    "eu-north-1",  # Europe (Stockholm)
    "sa-east-1",  # South America (Sao Paulo)
    "us-gov-west-1",  # AWS GovCloud (US)
    "us-gov-east-1",  # AWS GovCloud (US)
]

# These values are required to calculate the signature. Do not change them.
DATE = "11111111"
SERVICE = "ses"
MESSAGE = "SendRawEmail"
TERMINAL = "aws4_request"
VERSION = 0x04


def sign(key, msg):
    return hmac.new(key, msg.encode("utf-8"), hashlib.sha256).digest()


def calculate_key(secret_access_key, region):
    if region not in SMTP_REGIONS:
        raise ValueError(f"The {region} Region doesn't have an SMTP endpoint.")

    signature = sign(("AWS4" + secret_access_key).encode("utf-8"), DATE)
    signature = sign(signature, region)
    signature = sign(signature, SERVICE)
    signature = sign(signature, TERMINAL)
    signature = sign(signature, MESSAGE)
    signature_and_version = bytes([VERSION]) + signature
    smtp_password = base64.b64encode(signature_and_version)
    return smtp_password.decode("utf-8")


def main():
    parser = argparse.ArgumentParser(
        description="Convert a Secret Access Key to an SMTP password."
    )
    parser.add_argument("secret", help="The Secret Access Key to convert.")
    parser.add_argument(
        "region",
        help="The AWS Region where the SMTP password will be used.",
        choices=SMTP_REGIONS,
    )
    args = parser.parse_args()
    print(calculate_key(args.secret, args.region))


if __name__ == "__main__":
    main()

L’exemple de code suivant illustre comment :

  • Ajoutez et vérifiez une adresse e-mail avec Amazon SES.

  • Envoyez un e-mail standard.

  • Créez un modèle et envoyez un e-mail basé sur un modèle.

  • Envoyez un message en utilisant un serveur SMTP Amazon SES.

SDK pour Python (Boto3)
Note

Il y en a plus sur GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le référentiel d’exemples de code AWS.

Vérifiez une adresse e-mail avec Amazon SES et envoyez des messages.

def usage_demo():
    print("-" * 88)
    print("Welcome to the Amazon Simple Email Service (Amazon SES) email demo!")
    print("-" * 88)

    logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s")

    ses_client = boto3.client("ses")
    ses_identity = SesIdentity(ses_client)
    ses_mail_sender = SesMailSender(ses_client)
    ses_template = SesTemplate(ses_client)
    email = input("Enter an email address to send mail with Amazon SES: ")
    status = ses_identity.get_identity_status(email)
    verified = status == "Success"
    if not verified:
        answer = input(
            f"The address '{email}' is not verified with Amazon SES. Unless your "
            f"Amazon SES account is out of sandbox, you can send mail only from "
            f"and to verified accounts. Do you want to verify this account for use "
            f"with Amazon SES? If yes, the address will receive a verification "
            f"email (y/n): "
        )
        if answer.lower() == "y":
            ses_identity.verify_email_identity(email)
            print(f"Follow the steps in the email to {email} to complete verification.")
            print("Waiting for verification...")
            try:
                ses_identity.wait_until_identity_exists(email)
                print(f"Identity verified for {email}.")
                verified = True
            except WaiterError:
                print(
                    f"Verification timeout exceeded. You must complete the "
                    f"steps in the email sent to {email} to verify the address."
                )

    if verified:
        test_message_text = "Hello from the Amazon SES mail demo!"
        test_message_html = "<p>Hello!</p><p>From the <b>Amazon SES</b> mail demo!</p>"

        print(f"Sending mail from {email} to {email}.")
        ses_mail_sender.send_email(
            email,
            SesDestination([email]),
            "Amazon SES demo",
            test_message_text,
            test_message_html,
        )
        input("Mail sent. Check your inbox and press Enter to continue.")

        template = {
            "name": "doc-example-template",
            "subject": "Example of an email template.",
            "text": "This is what {{name}} will {{action}} if {{name}} can't display "
            "HTML.",
            "html": "<p><i>This</i> is what {{name}} will {{action}} if {{name}} "
            "<b>can</b> display HTML.</p>",
        }
        print("Creating a template and sending a templated email.")
        ses_template.create_template(**template)
        template_data = {"name": email.split("@")[0], "action": "read"}
        if ses_template.verify_tags(template_data):
            ses_mail_sender.send_templated_email(
                email, SesDestination([email]), ses_template.name(), template_data
            )
            input("Mail sent. Check your inbox and press Enter to continue.")

        print("Sending mail through the Amazon SES SMTP server.")
        boto3_session = boto3.Session()
        region = boto3_session.region_name
        credentials = boto3_session.get_credentials()
        port = 587
        smtp_server = f"email-smtp.{region}.amazonaws.com"
        password = calculate_key(credentials.secret_key, region)
        message = """
Subject: Hi there

This message is sent from the Amazon SES SMTP mail demo."""
        context = ssl.create_default_context()
        with smtplib.SMTP(smtp_server, port) as server:
            server.starttls(context=context)
            server.login(credentials.access_key, password)
            server.sendmail(email, email, message)
        print("Mail sent. Check your inbox!")

    if ses_template.template is not None:
        print("Deleting demo template.")
        ses_template.delete_template()
    if verified:
        answer = input(f"Do you want to remove {email} from Amazon SES (y/n)? ")
        if answer.lower() == "y":
            ses_identity.delete_identity(email)
    print("Thanks for watching!")
    print("-" * 88)

Créer des fonctions pour encapsuler les actions d’identité Amazon SES.

class SesIdentity:
    """Encapsulates Amazon SES identity functions."""

    def __init__(self, ses_client):
        """
        :param ses_client: A Boto3 Amazon SES client.
        """
        self.ses_client = ses_client


    def verify_domain_identity(self, domain_name):
        """
        Starts verification of a domain identity. To complete verification, you must
        create a TXT record with a specific format through your DNS provider.

        For more information, see *Verifying a domain with Amazon SES* in the
        Amazon SES documentation:
            https://docs.aws.amazon.com/ses/latest/DeveloperGuide/verify-domain-procedure.html

        :param domain_name: The name of the domain to verify.
        :return: The token to include in the TXT record with your DNS provider.
        """
        try:
            response = self.ses_client.verify_domain_identity(Domain=domain_name)
            token = response["VerificationToken"]
            logger.info("Got domain verification token for %s.", domain_name)
        except ClientError:
            logger.exception("Couldn't verify domain %s.", domain_name)
            raise
        else:
            return token


    def verify_email_identity(self, email_address):
        """
        Starts verification of an email identity. This function causes an email
        to be sent to the specified email address from Amazon SES. To complete
        verification, follow the instructions in the email.

        :param email_address: The email address to verify.
        """
        try:
            self.ses_client.verify_email_identity(EmailAddress=email_address)
            logger.info("Started verification of %s.", email_address)
        except ClientError:
            logger.exception("Couldn't start verification of %s.", email_address)
            raise


    def wait_until_identity_exists(self, identity):
        """
        Waits until an identity exists. The waiter polls Amazon SES until the
        identity has been successfully verified or until it exceeds its maximum time.

        :param identity: The identity to wait for.
        """
        try:
            waiter = self.ses_client.get_waiter("identity_exists")
            logger.info("Waiting until %s exists.", identity)
            waiter.wait(Identities=[identity])
        except WaiterError:
            logger.error("Waiting for identity %s failed or timed out.", identity)
            raise


    def get_identity_status(self, identity):
        """
        Gets the status of an identity. This can be used to discover whether
        an identity has been successfully verified.

        :param identity: The identity to query.
        :return: The status of the identity.
        """
        try:
            response = self.ses_client.get_identity_verification_attributes(
                Identities=[identity]
            )
            status = response["VerificationAttributes"].get(
                identity, {"VerificationStatus": "NotFound"}
            )["VerificationStatus"]
            logger.info("Got status of %s for %s.", status, identity)
        except ClientError:
            logger.exception("Couldn't get status for %s.", identity)
            raise
        else:
            return status


    def delete_identity(self, identity):
        """
        Deletes an identity.

        :param identity: The identity to remove.
        """
        try:
            self.ses_client.delete_identity(Identity=identity)
            logger.info("Deleted identity %s.", identity)
        except ClientError:
            logger.exception("Couldn't delete identity %s.", identity)
            raise


    def list_identities(self, identity_type, max_items):
        """
        Gets the identities of the specified type for the current account.

        :param identity_type: The type of identity to retrieve, such as EmailAddress.
        :param max_items: The maximum number of identities to retrieve.
        :return: The list of retrieved identities.
        """
        try:
            response = self.ses_client.list_identities(
                IdentityType=identity_type, MaxItems=max_items
            )
            identities = response["Identities"]
            logger.info("Got %s identities for the current account.", len(identities))
        except ClientError:
            logger.exception("Couldn't list identities for the current account.")
            raise
        else:
            return identities

Créer des fonctions pour encapsuler les actions de modèle Amazon SES.

class SesTemplate:
    """Encapsulates Amazon SES template functions."""

    def __init__(self, ses_client):
        """
        :param ses_client: A Boto3 Amazon SES client.
        """
        self.ses_client = ses_client
        self.template = None
        self.template_tags = set()

    def _extract_tags(self, subject, text, html):
        """
        Extracts tags from a template as a set of unique values.

        :param subject: The subject of the email.
        :param text: The text version of the email.
        :param html: The html version of the email.
        """
        self.template_tags = set(re.findall(TEMPLATE_REGEX, subject + text + html))
        logger.info("Extracted template tags: %s", self.template_tags)


    def create_template(self, name, subject, text, html):
        """
        Creates an email template.

        :param name: The name of the template.
        :param subject: The subject of the email.
        :param text: The plain text version of the email.
        :param html: The HTML version of the email.
        """
        try:
            template = {
                "TemplateName": name,
                "SubjectPart": subject,
                "TextPart": text,
                "HtmlPart": html,
            }
            self.ses_client.create_template(Template=template)
            logger.info("Created template %s.", name)
            self.template = template
            self._extract_tags(subject, text, html)
        except ClientError:
            logger.exception("Couldn't create template %s.", name)
            raise


    def delete_template(self):
        """
        Deletes an email template.
        """
        try:
            self.ses_client.delete_template(TemplateName=self.template["TemplateName"])
            logger.info("Deleted template %s.", self.template["TemplateName"])
            self.template = None
            self.template_tags = None
        except ClientError:
            logger.exception(
                "Couldn't delete template %s.", self.template["TemplateName"]
            )
            raise


    def get_template(self, name):
        """
        Gets a previously created email template.

        :param name: The name of the template to retrieve.
        :return: The retrieved email template.
        """
        try:
            response = self.ses_client.get_template(TemplateName=name)
            self.template = response["Template"]
            logger.info("Got template %s.", name)
            self._extract_tags(
                self.template["SubjectPart"],
                self.template["TextPart"],
                self.template["HtmlPart"],
            )
        except ClientError:
            logger.exception("Couldn't get template %s.", name)
            raise
        else:
            return self.template


    def list_templates(self):
        """
        Gets a list of all email templates for the current account.

        :return: The list of retrieved email templates.
        """
        try:
            response = self.ses_client.list_templates()
            templates = response["TemplatesMetadata"]
            logger.info("Got %s templates.", len(templates))
        except ClientError:
            logger.exception("Couldn't get templates.")
            raise
        else:
            return templates


    def update_template(self, name, subject, text, html):
        """
        Updates a previously created email template.

        :param name: The name of the template.
        :param subject: The subject of the email.
        :param text: The plain text version of the email.
        :param html: The HTML version of the email.
        """
        try:
            template = {
                "TemplateName": name,
                "SubjectPart": subject,
                "TextPart": text,
                "HtmlPart": html,
            }
            self.ses_client.update_template(Template=template)
            logger.info("Updated template %s.", name)
            self.template = template
            self._extract_tags(subject, text, html)
        except ClientError:
            logger.exception("Couldn't update template %s.", name)
            raise

Créer des fonctions pour encapsuler les actions e-mail Amazon SES.

class SesDestination:
    """Contains data about an email destination."""

    def __init__(self, tos, ccs=None, bccs=None):
        """
        :param tos: The list of recipients on the 'To:' line.
        :param ccs: The list of recipients on the 'CC:' line.
        :param bccs: The list of recipients on the 'BCC:' line.
        """
        self.tos = tos
        self.ccs = ccs
        self.bccs = bccs

    def to_service_format(self):
        """
        :return: The destination data in the format expected by Amazon SES.
        """
        svc_format = {"ToAddresses": self.tos}
        if self.ccs is not None:
            svc_format["CcAddresses"] = self.ccs
        if self.bccs is not None:
            svc_format["BccAddresses"] = self.bccs
        return svc_format



class SesMailSender:
    """Encapsulates functions to send emails with Amazon SES."""

    def __init__(self, ses_client):
        """
        :param ses_client: A Boto3 Amazon SES client.
        """
        self.ses_client = ses_client


    def send_email(self, source, destination, subject, text, html, reply_tos=None):
        """
        Sends an email.

        Note: If your account is in the Amazon SES  sandbox, the source and
        destination email accounts must both be verified.

        :param source: The source email account.
        :param destination: The destination email account.
        :param subject: The subject of the email.
        :param text: The plain text version of the body of the email.
        :param html: The HTML version of the body of the email.
        :param reply_tos: Email accounts that will receive a reply if the recipient
                          replies to the message.
        :return: The ID of the message, assigned by Amazon SES.
        """
        send_args = {
            "Source": source,
            "Destination": destination.to_service_format(),
            "Message": {
                "Subject": {"Data": subject},
                "Body": {"Text": {"Data": text}, "Html": {"Data": html}},
            },
        }
        if reply_tos is not None:
            send_args["ReplyToAddresses"] = reply_tos
        try:
            response = self.ses_client.send_email(**send_args)
            message_id = response["MessageId"]
            logger.info(
                "Sent mail %s from %s to %s.", message_id, source, destination.tos
            )
        except ClientError:
            logger.exception(
                "Couldn't send mail from %s to %s.", source, destination.tos
            )
            raise
        else:
            return message_id


    def send_templated_email(
        self, source, destination, template_name, template_data, reply_tos=None
    ):
        """
        Sends an email based on a template. A template contains replaceable tags
        each enclosed in two curly braces, such as {{name}}. The template data passed
        in this function contains key-value pairs that define the values to insert
        in place of the template tags.

        Note: If your account is in the Amazon SES  sandbox, the source and
        destination email accounts must both be verified.

        :param source: The source email account.
        :param destination: The destination email account.
        :param template_name: The name of a previously created template.
        :param template_data: JSON-formatted key-value pairs of replacement values
                              that are inserted in the template before it is sent.
        :return: The ID of the message, assigned by Amazon SES.
        """
        send_args = {
            "Source": source,
            "Destination": destination.to_service_format(),
            "Template": template_name,
            "TemplateData": json.dumps(template_data),
        }
        if reply_tos is not None:
            send_args["ReplyToAddresses"] = reply_tos
        try:
            response = self.ses_client.send_templated_email(**send_args)
            message_id = response["MessageId"]
            logger.info(
                "Sent templated mail %s from %s to %s.",
                message_id,
                source,
                destination.tos,
            )
        except ClientError:
            logger.exception(
                "Couldn't send templated mail from %s to %s.", source, destination.tos
            )
            raise
        else:
            return message_id