Hay más AWS SDK ejemplos disponibles en el GitHub repositorio de AWS Doc SDK Examples
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SESEjemplos de Amazon que utilizan SDK Python (Boto3)
Los siguientes ejemplos de código muestran cómo realizar acciones e implementar escenarios comunes AWS SDK for Python (Boto3) mediante AmazonSES.
Las acciones son extractos de código de programas más grandes y deben ejecutarse en contexto. Mientras las acciones muestran cómo llamar a las funciones de servicio individuales, es posible ver las acciones en contexto en los escenarios relacionados.
Los escenarios son ejemplos de código que muestran cómo llevar a cabo una tarea específica a través de llamadas a varias funciones dentro del servicio o combinado con otros Servicios de AWS.
Cada ejemplo incluye un enlace al código fuente completo, donde puede encontrar instrucciones sobre cómo configurar y ejecutar el código en su contexto.
Temas
Acciones
En el siguiente ejemplo de código se muestra cómo usar CreateReceiptFilter
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de AWS
. 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
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Para API obtener más información, consulte CreateReceiptFilterla AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar CreateReceiptRule
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de AWS
. Cree un depósito de Amazon S3 en el que Amazon SES pueda colocar copias de los correos electrónicos entrantes y cree una regla que copie el correo entrante en el depósito para una lista específica de destinatarios.
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
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Para API obtener más información, consulte CreateReceiptRulela AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar CreateReceiptRuleSet
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de AWS
. 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
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Para API obtener más información, consulte CreateReceiptRuleSetla AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar CreateTemplate
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de 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 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
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Para API obtener más información, consulte CreateTemplatela AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar DeleteIdentity
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de 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 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
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Para API obtener más información, consulte DeleteIdentityla AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar DeleteReceiptFilter
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de AWS
. 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
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Para API obtener más información, consulte DeleteReceiptFilterla AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar DeleteReceiptRule
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de AWS
. 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
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Para API obtener más información, consulte DeleteReceiptRulela AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar DeleteReceiptRuleSet
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de AWS
. 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
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Para API obtener más información, consulte DeleteReceiptRuleSetla AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar DeleteTemplate
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de 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 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
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Para API obtener más información, consulte DeleteTemplatela AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar DescribeReceiptRuleSet
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de AWS
. 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
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Para API obtener más información, consulte DescribeReceiptRuleSetla AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar GetIdentityVerificationAttributes
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de 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 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
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Para API obtener más información, consulte GetIdentityVerificationAttributesla AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar GetTemplate
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de 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 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
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Para API obtener más información, consulte GetTemplatela AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar ListIdentities
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de 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 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
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Para API obtener más información, consulte ListIdentitiesla AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar ListReceiptFilters
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de AWS
. 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
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Para API obtener más información, consulte ListReceiptFiltersla AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar ListTemplates
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de 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 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
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Para API obtener más información, consulte ListTemplatesla AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar SendEmail
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de 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_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
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Para API obtener más información, consulte SendEmailla AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar SendTemplatedEmail
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de 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
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Para API obtener más información, consulte SendTemplatedEmailla AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar UpdateTemplate
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de 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
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Para API obtener más información, consulte UpdateTemplatela AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar VerifyDomainIdentity
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de 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
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Para API obtener más información, consulte VerifyDomainIdentityla AWS SDKreferencia de Python (Boto3). API
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En el siguiente ejemplo de código se muestra cómo usar VerifyEmailIdentity
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- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de 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
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Para API obtener más información, consulte VerifyEmailIdentityla AWS SDKreferencia de Python (Boto3). API
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Escenarios
El siguiente ejemplo de código muestra cómo copiar el SES correo electrónico y las identidades de dominio de Amazon de una AWS región a otra. Cuando Route 53 administra las identidades de dominio, los registros de verificación se copian en el dominio de la región de destino.
- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de 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()
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Para API obtener más información, consulte los siguientes temas en la sección AWS SDKde referencia sobre Python (Boto3). API
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El siguiente ejemplo de código muestra cómo crear una aplicación web que haga un seguimiento de los elementos de trabajo de una tabla de Amazon DynamoDB y utilice Amazon Simple Email Service (SESAmazon) para enviar informes.
- SDKpara Python (Boto3)
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Muestra cómo usarlo AWS SDK for Python (Boto3) para crear un REST servicio que haga un seguimiento de los elementos de trabajo en Amazon DynamoDB y envíe informes por correo electrónico mediante Amazon Simple Email Service (Amazon). SES Este ejemplo utiliza el marco web Flask para gestionar el HTTP enrutamiento y se integra con una página web de React para presentar una aplicación web completamente funcional.
Cree un REST servicio de Flask que se integre con. Servicios de AWS
Lea, escriba y actualice los elementos de trabajo almacenados en una tabla de DynamoDB.
Usa Amazon SES para enviar informes de artículos de trabajo por correo electrónico.
Para obtener el código fuente completo e instrucciones sobre cómo configurarlo y ejecutarlo, consulta el ejemplo completo en el repositorio de ejemplos de AWS código
en GitHub. Servicios utilizados en este ejemplo
DynamoDB
Amazon SES
El siguiente ejemplo de código muestra cómo crear una aplicación web que haga un seguimiento de los elementos de trabajo de una base de datos Amazon Aurora Serverless y utilice Amazon Simple Email Service (AmazonSES) para enviar informes.
- SDKpara Python (Boto3)
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Muestra cómo utilizar el AWS SDK for Python (Boto3) para crear un REST servicio que haga un seguimiento de los elementos de trabajo de una base de datos Amazon Aurora Serverless y envíe informes por correo electrónico mediante Amazon Simple Email Service (AmazonSES). Este ejemplo utiliza el marco web Flask para gestionar el HTTP enrutamiento y se integra con una página web de React para presentar una aplicación web completamente funcional.
Cree un REST servicio de Flask que se integre con. Servicios de AWS
Lea, escriba y actualice los elementos de trabajo almacenados en una base de datos de Aurora Serverless.
Cree un AWS Secrets Manager secreto que contenga las credenciales de la base de datos y utilícelo para autenticar las llamadas a la base de datos.
Usa Amazon SES para enviar informes de artículos de trabajo por correo electrónico.
Para ver el código fuente completo y las instrucciones sobre cómo configurarlo y ejecutarlo, consulta el ejemplo completo en GitHub
. Servicios utilizados en este ejemplo
Aurora
Amazon RDS
Amazon RDS Data Service
Amazon SES
El siguiente ejemplo de código muestra cómo crear una aplicación que utilice Amazon Rekognition para detectar objetos por categoría en las imágenes.
- SDKpara Python (Boto3)
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Le muestra cómo utilizar el AWS SDK for Python (Boto3) para crear una aplicación web que le permita hacer lo siguiente:
Subir fotos en un bucket de Amazon Simple Storage Service (Amazon S3).
Utilizar Amazon Rekognition para analizar y etiquetar las fotos.
Utilice Amazon Simple Email Service (AmazonSES) para enviar informes de análisis de imágenes por correo electrónico.
Este ejemplo contiene dos componentes principales: una página web escrita en JavaScript React y un REST servicio escrito en Python creado con Flask-RESTful.
Puede utilizar la página web de React para:
Mostrar una lista de imágenes almacenadas en el bucket de S3.
Subir imágenes desde la computadora en el bucket de S3.
Mostrar imágenes y etiquetas que identifican los elementos detectados en la imagen.
Obtener un informe de todas las imágenes del bucket de S3 y enviar un correo electrónico del informe.
La página web llama al REST servicio. El servicio envía solicitudes a AWS para llevar a cabo las siguientes acciones:
Obtener y filtrar la lista de imágenes del bucket de S3.
Subir fotos en el bucket de S3.
Utilizar Amazon Rekognition para analizar fotos individuales y obtener una lista de etiquetas que identifican los elementos detectados en la foto.
Analice todas las fotos de su depósito de S3 y utilice Amazon SES para enviar un informe por correo electrónico.
Para ver el código fuente completo y las instrucciones sobre cómo configurarlo y ejecutarlo, consulta el ejemplo completo en GitHub
. Servicios utilizados en este ejemplo
Amazon Rekognition
Amazon S3
Amazon SES
El siguiente ejemplo de código muestra cómo generar credenciales para conectarse a un SES SMTP punto de conexión de Amazon.
- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de 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()
En el siguiente ejemplo de código, se muestra cómo:
Añade y verifica una dirección de correo electrónico con AmazonSES.
Envía un mensaje de correo electrónico estándar.
Crear una plantilla y enviar un mensaje de correo electrónico con plantilla.
Envía un mensaje mediante un SES SMTP servidor de Amazon.
- SDKpara Python (Boto3)
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nota
Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el Repositorio de ejemplos de código de AWS
. Verifica una dirección de correo electrónico con Amazon SES y envía mensajes.
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)
Crea funciones para empaquetar las acciones de SES identidad de Amazon.
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
Crea funciones para empaquetar las acciones de las SES plantillas de Amazon.
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
Crea funciones para empaquetar las acciones de SES correo electrónico de Amazon.
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
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Para API obtener más información, consulte los siguientes temas en la sección AWS SDKde referencia sobre Python (Boto3). API
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