input stringlengths 49 3.53k | target stringclasses 19
values |
|---|---|
def get_callable_handler_function(src, handler):
"""Translate a string of the form "module.function" into a callable
function.
:param str src:
The path to your Lambda project containing a valid handler file.
:param str handler:
A dot delimited string representing the `<module>.<function nam... | def get_prep_value(self, value):
return ','.join(value) |
def get_callable_handler_function(src, handler):
"""Translate a string of the form "module.function" into a callable
function.
:param str src:
The path to your Lambda project containing a valid handler file.
:param str handler:
A dot delimited string representing the `<module>.<function nam... | def get_concurrency(cfg):
"""Return the Reserved Concurrent Executions if present in the config"""
concurrency = int(cfg.get("concurrency", 0))
return max(0, concurrency) |
def get_callable_handler_function(src, handler):
"""Translate a string of the form "module.function" into a callable
function.
:param str src:
The path to your Lambda project containing a valid handler file.
:param str handler:
A dot delimited string representing the `<module>.<function nam... | def test_iterators_are_a_type(self):
it = iter(range(1,6))
total = 0
for num in it:
total += num
self.assertEqual(15 , total) |
def get_callable_handler_function(src, handler):
"""Translate a string of the form "module.function" into a callable
function.
:param str src:
The path to your Lambda project containing a valid handler file.
:param str handler:
A dot delimited string representing the `<module>.<function nam... | def test_iterating_with_next(self):
stages = iter(['alpha','beta','gamma'])
try:
self.assertEqual('alpha', next(stages))
next(stages)
self.assertEqual('gamma', next(stages))
next(stages)
except StopIteration as ex:
err_msg = 'Ran out o... |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def __init__(self, allow=None, disallow=None, secure=True, *args, **kwargs):
super(TemplateField, self).__init__(*args, **kwargs)
self.validators.append(TemplateValidator(allow, disallow, secure)) |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def load_source(module_name, module_path):
"""Loads a python module from the path of the corresponding file."""
if sys.version_info[0] == 3 and sys.version_info[1] >= 5:
import importlib.util
spec = importlib.util.spec_from_file_location(module_name, module_path)
module = importlib.util... |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def __init__(self, field):
self.field = field |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def __get__(self, instance, owner):
if instance is None:
raise AttributeError # ? |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def __set__(self, instance, value):
instance.__dict__[self.field.name] = value
setattr(instance, self.field.attname, json.dumps(value)) |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def __delete__(self, instance):
del(instance.__dict__[self.field.name])
setattr(instance, self.field.attname, json.dumps(None)) |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def get_attname(self):
return "%s_json" % self.name |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def contribute_to_class(self, cls, name):
super(JSONField, self).contribute_to_class(cls, name)
setattr(cls, name, JSONDescriptor(self))
models.signals.pre_init.connect(self.fix_init_kwarg, sender=cls) |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def init(src, minimal=False):
"""Copies template files to a given directory.
:param str src:
The path to output the template lambda project files.
:param bool minimal:
Minimal possible template files (excludes event.json).
"""
templates_path = os.path.join(
os.path.dirname(... |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def cleanup_old_versions(
src, keep_last_versions, config_file="config.yaml", profile_name=None,
):
"""Deletes old deployed versions of the function in AWS Lambda.
Won't delete $Latest and any aliased version
:param str src:
The path to your Lambda ready project (folder must contain a valid
... |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def deploy(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
preserve_vpc=False,
):
"""Deploys a new function to AWS Lambda.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handle... |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def deploy_s3(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
preserve_vpc=False,
):
"""Deploys a new function via AWS S3.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handle... |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def upload(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Uploads a new function to AWS S3.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).... |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def invoke(
src,
event_file="event.json",
config_file="config.yaml",
profile_name=None,
verbose=False,
):
"""Simulates a call to your function.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py... |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def to_python(self, value):
if not value:
return [] |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def get_prep_value(self, value):
return ','.join(value) |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def get_concurrency(cfg):
"""Return the Reserved Concurrent Executions if present in the config"""
concurrency = int(cfg.get("concurrency", 0))
return max(0, concurrency) |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def test_iterators_are_a_type(self):
it = iter(range(1,6))
total = 0
for num in it:
total += num
self.assertEqual(15 , total) |
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role) | def test_iterating_with_next(self):
stages = iter(['alpha','beta','gamma'])
try:
self.assertEqual('alpha', next(stages))
next(stages)
self.assertEqual('gamma', next(stages))
next(stages)
except StopIteration as ex:
err_msg = 'Ran out o... |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def __init__(self, allow=None, disallow=None, secure=True, *args, **kwargs):
super(TemplateField, self).__init__(*args, **kwargs)
self.validators.append(TemplateValidator(allow, disallow, secure)) |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def load_source(module_name, module_path):
"""Loads a python module from the path of the corresponding file."""
if sys.version_info[0] == 3 and sys.version_info[1] >= 5:
import importlib.util
spec = importlib.util.spec_from_file_location(module_name, module_path)
module = importlib.util... |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def __init__(self, field):
self.field = field |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def __get__(self, instance, owner):
if instance is None:
raise AttributeError # ? |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def __set__(self, instance, value):
instance.__dict__[self.field.name] = value
setattr(instance, self.field.attname, json.dumps(value)) |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def __delete__(self, instance):
del(instance.__dict__[self.field.name])
setattr(instance, self.field.attname, json.dumps(None)) |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def get_attname(self):
return "%s_json" % self.name |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def contribute_to_class(self, cls, name):
super(JSONField, self).contribute_to_class(cls, name)
setattr(cls, name, JSONDescriptor(self))
models.signals.pre_init.connect(self.fix_init_kwarg, sender=cls) |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def init(src, minimal=False):
"""Copies template files to a given directory.
:param str src:
The path to output the template lambda project files.
:param bool minimal:
Minimal possible template files (excludes event.json).
"""
templates_path = os.path.join(
os.path.dirname(... |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def cleanup_old_versions(
src, keep_last_versions, config_file="config.yaml", profile_name=None,
):
"""Deletes old deployed versions of the function in AWS Lambda.
Won't delete $Latest and any aliased version
:param str src:
The path to your Lambda ready project (folder must contain a valid
... |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def deploy(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
preserve_vpc=False,
):
"""Deploys a new function to AWS Lambda.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handle... |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def deploy_s3(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
preserve_vpc=False,
):
"""Deploys a new function via AWS S3.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handle... |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def upload(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Uploads a new function to AWS S3.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).... |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def invoke(
src,
event_file="event.json",
config_file="config.yaml",
profile_name=None,
verbose=False,
):
"""Simulates a call to your function.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py... |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def to_python(self, value):
if not value:
return [] |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def get_prep_value(self, value):
return ','.join(value) |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def get_concurrency(cfg):
"""Return the Reserved Concurrent Executions if present in the config"""
concurrency = int(cfg.get("concurrency", 0))
return max(0, concurrency) |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def test_iterators_are_a_type(self):
it = iter(range(1,6))
total = 0
for num in it:
total += num
self.assertEqual(15 , total) |
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account") | def test_iterating_with_next(self):
stages = iter(['alpha','beta','gamma'])
try:
self.assertEqual('alpha', next(stages))
next(stages)
self.assertEqual('gamma', next(stages))
next(stages)
except StopIteration as ex:
err_msg = 'Ran out o... |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def __init__(self, allow=None, disallow=None, secure=True, *args, **kwargs):
super(TemplateField, self).__init__(*args, **kwargs)
self.validators.append(TemplateValidator(allow, disallow, secure)) |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def load_source(module_name, module_path):
"""Loads a python module from the path of the corresponding file."""
if sys.version_info[0] == 3 and sys.version_info[1] >= 5:
import importlib.util
spec = importlib.util.spec_from_file_location(module_name, module_path)
module = importlib.util... |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def __init__(self, field):
self.field = field |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def __get__(self, instance, owner):
if instance is None:
raise AttributeError # ? |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def __set__(self, instance, value):
instance.__dict__[self.field.name] = value
setattr(instance, self.field.attname, json.dumps(value)) |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def __delete__(self, instance):
del(instance.__dict__[self.field.name])
setattr(instance, self.field.attname, json.dumps(None)) |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def get_attname(self):
return "%s_json" % self.name |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def contribute_to_class(self, cls, name):
super(JSONField, self).contribute_to_class(cls, name)
setattr(cls, name, JSONDescriptor(self))
models.signals.pre_init.connect(self.fix_init_kwarg, sender=cls) |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def init(src, minimal=False):
"""Copies template files to a given directory.
:param str src:
The path to output the template lambda project files.
:param bool minimal:
Minimal possible template files (excludes event.json).
"""
templates_path = os.path.join(
os.path.dirname(... |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def cleanup_old_versions(
src, keep_last_versions, config_file="config.yaml", profile_name=None,
):
"""Deletes old deployed versions of the function in AWS Lambda.
Won't delete $Latest and any aliased version
:param str src:
The path to your Lambda ready project (folder must contain a valid
... |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def deploy(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
preserve_vpc=False,
):
"""Deploys a new function to AWS Lambda.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handle... |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def deploy_s3(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
preserve_vpc=False,
):
"""Deploys a new function via AWS S3.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handle... |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def upload(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Uploads a new function to AWS S3.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).... |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def invoke(
src,
event_file="event.json",
config_file="config.yaml",
profile_name=None,
verbose=False,
):
"""Simulates a call to your function.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py... |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def to_python(self, value):
if not value:
return [] |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def get_prep_value(self, value):
return ','.join(value) |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def get_concurrency(cfg):
"""Return the Reserved Concurrent Executions if present in the config"""
concurrency = int(cfg.get("concurrency", 0))
return max(0, concurrency) |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def test_iterators_are_a_type(self):
it = iter(range(1,6))
total = 0
for num in it:
total += num
self.assertEqual(15 , total) |
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_se... | def test_iterating_with_next(self):
stages = iter(['alpha','beta','gamma'])
try:
self.assertEqual('alpha', next(stages))
next(stages)
self.assertEqual('gamma', next(stages))
next(stages)
except StopIteration as ex:
err_msg = 'Ran out o... |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def __init__(self, allow=None, disallow=None, secure=True, *args, **kwargs):
super(TemplateField, self).__init__(*args, **kwargs)
self.validators.append(TemplateValidator(allow, disallow, secure)) |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def load_source(module_name, module_path):
"""Loads a python module from the path of the corresponding file."""
if sys.version_info[0] == 3 and sys.version_info[1] >= 5:
import importlib.util
spec = importlib.util.spec_from_file_location(module_name, module_path)
module = importlib.util... |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def __init__(self, field):
self.field = field |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def __get__(self, instance, owner):
if instance is None:
raise AttributeError # ? |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def __set__(self, instance, value):
instance.__dict__[self.field.name] = value
setattr(instance, self.field.attname, json.dumps(value)) |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def __delete__(self, instance):
del(instance.__dict__[self.field.name])
setattr(instance, self.field.attname, json.dumps(None)) |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def get_attname(self):
return "%s_json" % self.name |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def contribute_to_class(self, cls, name):
super(JSONField, self).contribute_to_class(cls, name)
setattr(cls, name, JSONDescriptor(self))
models.signals.pre_init.connect(self.fix_init_kwarg, sender=cls) |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def init(src, minimal=False):
"""Copies template files to a given directory.
:param str src:
The path to output the template lambda project files.
:param bool minimal:
Minimal possible template files (excludes event.json).
"""
templates_path = os.path.join(
os.path.dirname(... |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def cleanup_old_versions(
src, keep_last_versions, config_file="config.yaml", profile_name=None,
):
"""Deletes old deployed versions of the function in AWS Lambda.
Won't delete $Latest and any aliased version
:param str src:
The path to your Lambda ready project (folder must contain a valid
... |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def deploy(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
preserve_vpc=False,
):
"""Deploys a new function to AWS Lambda.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handle... |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def deploy_s3(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
preserve_vpc=False,
):
"""Deploys a new function via AWS S3.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handle... |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def upload(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Uploads a new function to AWS S3.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).... |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def invoke(
src,
event_file="event.json",
config_file="config.yaml",
profile_name=None,
verbose=False,
):
"""Simulates a call to your function.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py... |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def to_python(self, value):
if not value:
return [] |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def get_prep_value(self, value):
return ','.join(value) |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def get_concurrency(cfg):
"""Return the Reserved Concurrent Executions if present in the config"""
concurrency = int(cfg.get("concurrency", 0))
return max(0, concurrency) |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def test_iterators_are_a_type(self):
it = iter(range(1,6))
total = 0
for num in it:
total += num
self.assertEqual(15 , total) |
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key... | def test_iterating_with_next(self):
stages = iter(['alpha','beta','gamma'])
try:
self.assertEqual('alpha', next(stages))
next(stages)
self.assertEqual('gamma', next(stages))
next(stages)
except StopIteration as ex:
err_msg = 'Ran out o... |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def __init__(self, allow=None, disallow=None, secure=True, *args, **kwargs):
super(TemplateField, self).__init__(*args, **kwargs)
self.validators.append(TemplateValidator(allow, disallow, secure)) |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def load_source(module_name, module_path):
"""Loads a python module from the path of the corresponding file."""
if sys.version_info[0] == 3 and sys.version_info[1] >= 5:
import importlib.util
spec = importlib.util.spec_from_file_location(module_name, module_path)
module = importlib.util... |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def __init__(self, field):
self.field = field |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def __get__(self, instance, owner):
if instance is None:
raise AttributeError # ? |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def __set__(self, instance, value):
instance.__dict__[self.field.name] = value
setattr(instance, self.field.attname, json.dumps(value)) |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def __delete__(self, instance):
del(instance.__dict__[self.field.name])
setattr(instance, self.field.attname, json.dumps(None)) |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def get_attname(self):
return "%s_json" % self.name |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def contribute_to_class(self, cls, name):
super(JSONField, self).contribute_to_class(cls, name)
setattr(cls, name, JSONDescriptor(self))
models.signals.pre_init.connect(self.fix_init_kwarg, sender=cls) |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def init(src, minimal=False):
"""Copies template files to a given directory.
:param str src:
The path to output the template lambda project files.
:param bool minimal:
Minimal possible template files (excludes event.json).
"""
templates_path = os.path.join(
os.path.dirname(... |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def cleanup_old_versions(
src, keep_last_versions, config_file="config.yaml", profile_name=None,
):
"""Deletes old deployed versions of the function in AWS Lambda.
Won't delete $Latest and any aliased version
:param str src:
The path to your Lambda ready project (folder must contain a valid
... |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def deploy(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
preserve_vpc=False,
):
"""Deploys a new function to AWS Lambda.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handle... |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def deploy_s3(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
preserve_vpc=False,
):
"""Deploys a new function via AWS S3.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handle... |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def upload(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Uploads a new function to AWS S3.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).... |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def invoke(
src,
event_file="event.json",
config_file="config.yaml",
profile_name=None,
verbose=False,
):
"""Simulates a call to your function.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py... |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def to_python(self, value):
if not value:
return [] |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def get_prep_value(self, value):
return ','.join(value) |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def get_concurrency(cfg):
"""Return the Reserved Concurrent Executions if present in the config"""
concurrency = int(cfg.get("concurrency", 0))
return max(0, concurrency) |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def test_iterators_are_a_type(self):
it = iter(range(1,6))
total = 0
for num in it:
total += num
self.assertEqual(15 , total) |
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get... | def test_iterating_with_next(self):
stages = iter(['alpha','beta','gamma'])
try:
self.assertEqual('alpha', next(stages))
next(stages)
self.assertEqual('gamma', next(stages))
next(stages)
except StopIteration as ex:
err_msg = 'Ran out o... |
def upload_s3(cfg, path_to_zip_file, *use_s3):
"""Upload a function to AWS S3."""
print("Uploading your new Lambda function")
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key_id")
aws_secret_access_key = cfg.get("aws_secret_access_key")
client = get_client(
... | def __init__(self, allow=None, disallow=None, secure=True, *args, **kwargs):
super(TemplateField, self).__init__(*args, **kwargs)
self.validators.append(TemplateValidator(allow, disallow, secure)) |
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