Ci sono altri AWS SDK esempi disponibili nel repository AWS Doc SDK Examples
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SESEsempi di Amazon che utilizzano SDK per Python (Boto3)
I seguenti esempi di codice mostrano come eseguire azioni e implementare scenari comuni utilizzando il AWS SDK for Python (Boto3) con AmazonSES.
Le operazioni sono estratti di codice da programmi più grandi e devono essere eseguite nel contesto. Sebbene le azioni mostrino come richiamare le singole funzioni di servizio, puoi vedere le azioni nel loro contesto negli scenari correlati.
Gli scenari sono esempi di codice che mostrano come eseguire attività specifiche richiamando più funzioni all'interno di un servizio o combinandole con altre Servizi AWS.
Ogni esempio include un collegamento al codice sorgente completo, in cui è possibile trovare istruzioni su come configurare ed eseguire il codice nel contesto.
Azioni
Il seguente esempio di codice mostra come utilizzareCreateReceiptFilter
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- SDKper Python (Boto3)
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Nota
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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
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Per API i dettagli, vedere CreateReceiptFilterPython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. CreateReceiptRule
- SDKper Python (Boto3)
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Nota
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. Crea un bucket Amazon S3 in cui Amazon SES può inserire copie delle e-mail in arrivo e crea una regola che copia le e-mail in arrivo nel bucket per un elenco specifico di destinatari.
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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Per API i dettagli, vedere CreateReceiptRulePython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. CreateReceiptRuleSet
- SDKper Python (Boto3)
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Nota
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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
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Per API i dettagli, vedere CreateReceiptRuleSetPython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. CreateTemplate
- SDKper Python (Boto3)
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Nota
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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
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Per API i dettagli, vedere CreateTemplatePython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. DeleteIdentity
- SDKper Python (Boto3)
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Nota
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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
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Per API i dettagli, vedere DeleteIdentityPython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. DeleteReceiptFilter
- SDKper 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 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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Per API i dettagli, vedere DeleteReceiptFilterPython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. DeleteReceiptRule
- SDKper Python (Boto3)
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Nota
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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
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Per API i dettagli, vedere DeleteReceiptRulePython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. DeleteReceiptRuleSet
- SDKper Python (Boto3)
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Nota
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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
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Per API i dettagli, vedere DeleteReceiptRuleSetPython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. DeleteTemplate
- SDKper Python (Boto3)
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Nota
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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
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Per API i dettagli, vedere DeleteTemplatePython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. DescribeReceiptRuleSet
- SDKper Python (Boto3)
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Nota
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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
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Per API i dettagli, vedere DescribeReceiptRuleSetPython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. GetIdentityVerificationAttributes
- SDKper Python (Boto3)
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Nota
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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
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Per API i dettagli, vedere GetIdentityVerificationAttributesPython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. GetTemplate
- SDKper Python (Boto3)
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Nota
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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
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Per API i dettagli, vedere GetTemplatePython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. ListIdentities
- SDKper Python (Boto3)
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Nota
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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
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Per API i dettagli, vedere ListIdentitiesPython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. ListReceiptFilters
- SDKper 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 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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Per API i dettagli, vedere ListReceiptFiltersPython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. ListTemplates
- SDKper Python (Boto3)
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Nota
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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
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Per API i dettagli, vedere ListTemplatesPython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. SendEmail
- SDKper Python (Boto3)
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Nota
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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
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Per API i dettagli, vedere SendEmailPython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. SendTemplatedEmail
- SDKper Python (Boto3)
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Nota
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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_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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Per API i dettagli, vedere SendTemplatedEmailPython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. UpdateTemplate
- SDKper Python (Boto3)
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Nota
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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 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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Per API i dettagli, vedere UpdateTemplatePython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. VerifyDomainIdentity
- SDKper Python (Boto3)
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Nota
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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 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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Per API i dettagli, vedere VerifyDomainIdentityPython (Boto3) Reference.AWS SDK API
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Il seguente esempio di codice mostra come usare. VerifyEmailIdentity
- SDKper Python (Boto3)
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Nota
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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 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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Per API i dettagli, vedere VerifyEmailIdentityPython (Boto3) Reference.AWS SDK API
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Scenari
Il seguente esempio di codice mostra come copiare le identità di SES e-mail e dominio di Amazon da una AWS regione all'altra. Quando le identità di dominio sono gestite da Route 53, i registri di verifica vengono copiati nel dominio della regione di destinazione.
- SDKper Python (Boto3)
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Nota
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel Repository di esempi di codice 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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Per API i dettagli, consulta i seguenti argomenti in AWS SDKPython (Boto3) Reference. API
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Il seguente esempio di codice mostra come creare un'applicazione Web che tiene traccia degli elementi di lavoro in una tabella Amazon DynamoDB e utilizza Amazon Simple Email Service (SESAmazon) per inviare report.
- SDKper Python (Boto3)
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Mostra come utilizzare per AWS SDK for Python (Boto3) creare un REST servizio che tenga traccia degli elementi di lavoro in Amazon DynamoDB e invii report tramite e-mail utilizzando Amazon Simple Email Service (Amazon). SES Questo esempio utilizza il framework web Flask per gestire il HTTP routing e si integra con una pagina web React per presentare un'applicazione web completamente funzionale.
Crea un servizio Flask REST che si integri con. Servizi AWS
Lettura, scrittura e aggiornamento di elementi di lavoro archiviati in una tabella DynamoDB.
Usa Amazon SES per inviare report via e-mail sugli elementi di lavoro.
Per il codice sorgente completo e le istruzioni su come configurarlo ed eseguirlo, consulta l'esempio completo nel AWS Code Examples Repository
su GitHub. Servizi utilizzati in questo esempio
DynamoDB
Amazon SES
Il seguente esempio di codice mostra come creare un'applicazione Web che tiene traccia degli elementi di lavoro in un database Amazon Aurora Serverless e utilizza Amazon Simple Email Service (AmazonSES) per inviare report.
- SDKper Python (Boto3)
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Mostra come utilizzare per AWS SDK for Python (Boto3) creare un REST servizio che tenga traccia degli elementi di lavoro in un database Amazon Aurora Serverless e invii report tramite e-mail utilizzando Amazon Simple Email Service (Amazon). SES Questo esempio utilizza il framework web Flask per gestire il HTTP routing e si integra con una pagina web React per presentare un'applicazione web completamente funzionale.
Crea un servizio Flask REST che si integri con. Servizi AWS
Lettura, scrittura e aggiornamento degli elementi di lavoro archiviati in un database Aurora Serverless.
Crea un AWS Secrets Manager segreto che contenga le credenziali del database e usalo per autenticare le chiamate al database.
Usa Amazon SES per inviare report via e-mail sugli elementi di lavoro.
Per il codice sorgente completo e le istruzioni su come configurarlo ed eseguirlo, guarda l'esempio completo su GitHub
. Servizi utilizzati in questo esempio
Aurora
Amazon RDS
Servizio RDS dati Amazon
Amazon SES
Il seguente esempio di codice mostra come creare un'app che utilizza Amazon Rekognition per rilevare oggetti per categoria nelle immagini.
- SDKper Python (Boto3)
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Ti mostra come usare per AWS SDK for Python (Boto3) creare un'applicazione web che ti permetta di fare quanto segue:
Caricamento di foto in un bucket Amazon Simple Storage Service (Amazon S3).
Utilizzo di Amazon Rekognition per analizzare ed etichettare le foto.
Usa Amazon Simple Email Service (AmazonSES) per inviare report via e-mail sull'analisi delle immagini.
Questo esempio contiene due componenti principali: una pagina web scritta in JavaScript che è costruita con React e un REST servizio scritto in Python creato con Flask-. RESTful
È possibile utilizzare la pagina Web React per:
Visualizzare un elenco di immagini archiviate nel bucket S3.
Caricare le immagini dal computer nel bucket S3.
Visualizzare immagini ed etichette che identificano gli elementi rilevati nell'immagine.
Ottenere un report relativo a tutte le immagini nel bucket S3 e inviarlo tramite email.
La pagina web richiama il servizio. REST Il servizio invia richieste a AWS per eseguire le seguenti operazioni:
Ottenere e filtrare l'elenco delle immagini nel bucket S3.
Caricare le foto nel bucket S3.
Utilizzare Amazon Rekognition per analizzare le singole foto e ottenere un elenco di etichette che identificano gli articoli rilevati al loro interno.
Analizza tutte le foto nel tuo bucket S3 e usa Amazon SES per inviare un report via e-mail.
Per il codice sorgente completo e le istruzioni su come configurarlo ed eseguirlo, guarda l'esempio completo su. GitHub
Servizi utilizzati in questo esempio
Amazon Rekognition
Amazon S3
Amazon SES
Il seguente esempio di codice mostra come generare credenziali per connettersi a un SES SMTP endpoint Amazon.
- SDKper Python (Boto3)
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Nota
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel Repository di esempi di codice 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'esempio di codice seguente mostra come:
Aggiungi e verifica un indirizzo email con AmazonSES.
Invia un messaggio di posta elettronica standard.
Crea un modello e invia un messaggio e-mail basato sul modello.
Invia un messaggio utilizzando un SES SMTP server Amazon.
- SDKper Python (Boto3)
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Nota
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel Repository di esempi di codice AWS
. Verifica un indirizzo e-mail con Amazon SES e invia messaggi.
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 funzioni per completare le azioni di SES identità di 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 funzioni per completare le azioni dei SES modelli 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 funzioni per completare le azioni SES e-mail di 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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Per API i dettagli, consulta i seguenti argomenti in AWS SDKPython (Boto3) Reference. API
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