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stringlengths 49
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def __init__(self, dict_):
super(self.__class__, self).__init__(dict_) | 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 handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Copy all the pip dependencies required to run your code into a temporary
# folder then add the handler file in the root of this directory.
# Zip the contents of this folder into a single file and output to the dist
# directory.
path_to_zip_file = build(
src,
config_file=config_file,
requirements=requirements,
local_package=local_package,
)
existing_config = get_function_config(cfg)
if existing_config:
update_function(
cfg, path_to_zip_file, existing_config, preserve_vpc=preserve_vpc
)
else:
create_function(cfg, path_to_zip_file) |
def __init__(self, dict_):
super(self.__class__, self).__init__(dict_) | 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 handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Copy all the pip dependencies required to run your code into a temporary
# folder then add the handler file in the root of this directory.
# Zip the contents of this folder into a single file and output to the dist
# directory.
path_to_zip_file = build(
src,
config_file=config_file,
requirements=requirements,
local_package=local_package,
)
use_s3 = True
s3_file = upload_s3(cfg, path_to_zip_file, use_s3)
existing_config = get_function_config(cfg)
if existing_config:
update_function(
cfg,
path_to_zip_file,
existing_config,
use_s3=use_s3,
s3_file=s3_file,
preserve_vpc=preserve_vpc,
)
else:
create_function(cfg, path_to_zip_file, use_s3=use_s3, s3_file=s3_file) |
def __init__(self, dict_):
super(self.__class__, self).__init__(dict_) | 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).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Copy all the pip dependencies required to run your code into a temporary
# folder then add the handler file in the root of this directory.
# Zip the contents of this folder into a single file and output to the dist
# directory.
path_to_zip_file = build(
src,
config_file=config_file,
requirements=requirements,
local_package=local_package,
)
upload_s3(cfg, path_to_zip_file) |
def __init__(self, dict_):
super(self.__class__, self).__init__(dict_) | 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).
:param str alt_event:
An optional argument to override which event file to use.
:param bool verbose:
Whether to print out verbose details.
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Set AWS_PROFILE environment variable based on `--profile` option.
if profile_name:
os.environ["AWS_PROFILE"] = profile_name
# Load environment variables from the config file into the actual
# environment.
env_vars = cfg.get("environment_variables")
if env_vars:
for key, value in env_vars.items():
os.environ[key] = get_environment_variable_value(value)
# Load and parse event file.
path_to_event_file = os.path.join(src, event_file)
event = read(path_to_event_file, loader=json.loads)
# Tweak to allow module to import local modules
try:
sys.path.index(src)
except ValueError:
sys.path.append(src)
handler = cfg.get("handler")
# Inspect the handler string (<module>.<function name>) and translate it
# into a function we can execute.
fn = get_callable_handler_function(src, handler)
timeout = cfg.get("timeout")
if timeout:
context = LambdaContext(cfg.get("function_name"), timeout)
else:
context = LambdaContext(cfg.get("function_name"))
start = time.time()
results = fn(event, context)
end = time.time()
print("{0}".format(results))
if verbose:
print(
"\nexecution time: {:.8f}s\nfunction execution "
"timeout: {:2}s".format(end - start, cfg.get("timeout", 15))
) |
def __init__(self, dict_):
super(self.__class__, self).__init__(dict_) | def to_python(self, value):
if not value:
return [] |
def __init__(self, dict_):
super(self.__class__, self).__init__(dict_) | def get_prep_value(self, value):
return ','.join(value) |
def __init__(self, dict_):
super(self.__class__, self).__init__(dict_) | 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 __init__(self, dict_):
super(self.__class__, self).__init__(dict_) | 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 __init__(self, dict_):
super(self.__class__, self).__init__(dict_) | 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 of iterations'
self.assertRegex(err_msg, 'Ran out') |
def connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | 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 connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | 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.module_from_spec(spec)
spec.loader.exec_module(module)
elif sys.version_info[0] == 3 and sys.version_info[1] < 5:
import importlib.machinery
loader = importlib.machinery.SourceFileLoader(module_name, module_path)
module = loader.load_module()
return module |
def connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | def __init__(self, field):
self.field = field |
def connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | def __get__(self, instance, owner):
if instance is None:
raise AttributeError # ? |
def connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | def __set__(self, instance, value):
instance.__dict__[self.field.name] = value
setattr(instance, self.field.attname, json.dumps(value)) |
def connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | def __delete__(self, instance):
del(instance.__dict__[self.field.name])
setattr(instance, self.field.attname, json.dumps(None)) |
def connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | def get_attname(self):
return "%s_json" % self.name |
def connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | 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 connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | 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(os.path.abspath(__file__)), "project_templates",
)
for filename in os.listdir(templates_path):
if (minimal and filename == "event.json") or filename.endswith(".pyc"):
continue
dest_path = os.path.join(templates_path, filename)
if not os.path.isdir(dest_path):
copy(dest_path, src) |
def connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | 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
config.yaml and handler module (e.g.: service.py).
:param int keep_last_versions:
The number of recent versions to keep and not delete
"""
if keep_last_versions <= 0:
print("Won't delete all versions. Please do this manually")
else:
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
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(
"lambda",
profile_name,
aws_access_key_id,
aws_secret_access_key,
cfg.get("region"),
)
response = client.list_versions_by_function(
FunctionName=cfg.get("function_name"),
)
versions = response.get("Versions")
if len(response.get("Versions")) < keep_last_versions:
print("Nothing to delete. (Too few versions published)")
else:
version_numbers = [
elem.get("Version") for elem in versions[1:-keep_last_versions]
]
for version_number in version_numbers:
try:
client.delete_function(
FunctionName=cfg.get("function_name"),
Qualifier=version_number,
)
except botocore.exceptions.ClientError as e:
print(f"Skipping Version {version_number}: {e}") |
def connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | 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 handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Copy all the pip dependencies required to run your code into a temporary
# folder then add the handler file in the root of this directory.
# Zip the contents of this folder into a single file and output to the dist
# directory.
path_to_zip_file = build(
src,
config_file=config_file,
requirements=requirements,
local_package=local_package,
)
existing_config = get_function_config(cfg)
if existing_config:
update_function(
cfg, path_to_zip_file, existing_config, preserve_vpc=preserve_vpc
)
else:
create_function(cfg, path_to_zip_file) |
def connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | 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 handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Copy all the pip dependencies required to run your code into a temporary
# folder then add the handler file in the root of this directory.
# Zip the contents of this folder into a single file and output to the dist
# directory.
path_to_zip_file = build(
src,
config_file=config_file,
requirements=requirements,
local_package=local_package,
)
use_s3 = True
s3_file = upload_s3(cfg, path_to_zip_file, use_s3)
existing_config = get_function_config(cfg)
if existing_config:
update_function(
cfg,
path_to_zip_file,
existing_config,
use_s3=use_s3,
s3_file=s3_file,
preserve_vpc=preserve_vpc,
)
else:
create_function(cfg, path_to_zip_file, use_s3=use_s3, s3_file=s3_file) |
def connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | 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).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Copy all the pip dependencies required to run your code into a temporary
# folder then add the handler file in the root of this directory.
# Zip the contents of this folder into a single file and output to the dist
# directory.
path_to_zip_file = build(
src,
config_file=config_file,
requirements=requirements,
local_package=local_package,
)
upload_s3(cfg, path_to_zip_file) |
def connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | 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).
:param str alt_event:
An optional argument to override which event file to use.
:param bool verbose:
Whether to print out verbose details.
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Set AWS_PROFILE environment variable based on `--profile` option.
if profile_name:
os.environ["AWS_PROFILE"] = profile_name
# Load environment variables from the config file into the actual
# environment.
env_vars = cfg.get("environment_variables")
if env_vars:
for key, value in env_vars.items():
os.environ[key] = get_environment_variable_value(value)
# Load and parse event file.
path_to_event_file = os.path.join(src, event_file)
event = read(path_to_event_file, loader=json.loads)
# Tweak to allow module to import local modules
try:
sys.path.index(src)
except ValueError:
sys.path.append(src)
handler = cfg.get("handler")
# Inspect the handler string (<module>.<function name>) and translate it
# into a function we can execute.
fn = get_callable_handler_function(src, handler)
timeout = cfg.get("timeout")
if timeout:
context = LambdaContext(cfg.get("function_name"), timeout)
else:
context = LambdaContext(cfg.get("function_name"))
start = time.time()
results = fn(event, context)
end = time.time()
print("{0}".format(results))
if verbose:
print(
"\nexecution time: {:.8f}s\nfunction execution "
"timeout: {:2}s".format(end - start, cfg.get("timeout", 15))
) |
def connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | def to_python(self, value):
if not value:
return [] |
def connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | def get_prep_value(self, value):
return ','.join(value) |
def connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | 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 connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | 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 connect_client():
"""Connects to Mongo client"""
try:
return MongoClient(app.config['DB_HOST'], int(app.config['DB_PORT']))
except errors.ConnectionFailure as e:
raise e | 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 of iterations'
self.assertRegex(err_msg, 'Ran out') |
def find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | 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 find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | 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.module_from_spec(spec)
spec.loader.exec_module(module)
elif sys.version_info[0] == 3 and sys.version_info[1] < 5:
import importlib.machinery
loader = importlib.machinery.SourceFileLoader(module_name, module_path)
module = loader.load_module()
return module |
def find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | def __init__(self, field):
self.field = field |
def find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | def __get__(self, instance, owner):
if instance is None:
raise AttributeError # ? |
def find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | def __set__(self, instance, value):
instance.__dict__[self.field.name] = value
setattr(instance, self.field.attname, json.dumps(value)) |
def find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | def __delete__(self, instance):
del(instance.__dict__[self.field.name])
setattr(instance, self.field.attname, json.dumps(None)) |
def find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | def get_attname(self):
return "%s_json" % self.name |
def find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | 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 find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | 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(os.path.abspath(__file__)), "project_templates",
)
for filename in os.listdir(templates_path):
if (minimal and filename == "event.json") or filename.endswith(".pyc"):
continue
dest_path = os.path.join(templates_path, filename)
if not os.path.isdir(dest_path):
copy(dest_path, src) |
def find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | 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
config.yaml and handler module (e.g.: service.py).
:param int keep_last_versions:
The number of recent versions to keep and not delete
"""
if keep_last_versions <= 0:
print("Won't delete all versions. Please do this manually")
else:
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
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(
"lambda",
profile_name,
aws_access_key_id,
aws_secret_access_key,
cfg.get("region"),
)
response = client.list_versions_by_function(
FunctionName=cfg.get("function_name"),
)
versions = response.get("Versions")
if len(response.get("Versions")) < keep_last_versions:
print("Nothing to delete. (Too few versions published)")
else:
version_numbers = [
elem.get("Version") for elem in versions[1:-keep_last_versions]
]
for version_number in version_numbers:
try:
client.delete_function(
FunctionName=cfg.get("function_name"),
Qualifier=version_number,
)
except botocore.exceptions.ClientError as e:
print(f"Skipping Version {version_number}: {e}") |
def find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | 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 handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Copy all the pip dependencies required to run your code into a temporary
# folder then add the handler file in the root of this directory.
# Zip the contents of this folder into a single file and output to the dist
# directory.
path_to_zip_file = build(
src,
config_file=config_file,
requirements=requirements,
local_package=local_package,
)
existing_config = get_function_config(cfg)
if existing_config:
update_function(
cfg, path_to_zip_file, existing_config, preserve_vpc=preserve_vpc
)
else:
create_function(cfg, path_to_zip_file) |
def find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | 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 handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Copy all the pip dependencies required to run your code into a temporary
# folder then add the handler file in the root of this directory.
# Zip the contents of this folder into a single file and output to the dist
# directory.
path_to_zip_file = build(
src,
config_file=config_file,
requirements=requirements,
local_package=local_package,
)
use_s3 = True
s3_file = upload_s3(cfg, path_to_zip_file, use_s3)
existing_config = get_function_config(cfg)
if existing_config:
update_function(
cfg,
path_to_zip_file,
existing_config,
use_s3=use_s3,
s3_file=s3_file,
preserve_vpc=preserve_vpc,
)
else:
create_function(cfg, path_to_zip_file, use_s3=use_s3, s3_file=s3_file) |
def find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | 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).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Copy all the pip dependencies required to run your code into a temporary
# folder then add the handler file in the root of this directory.
# Zip the contents of this folder into a single file and output to the dist
# directory.
path_to_zip_file = build(
src,
config_file=config_file,
requirements=requirements,
local_package=local_package,
)
upload_s3(cfg, path_to_zip_file) |
def find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | 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).
:param str alt_event:
An optional argument to override which event file to use.
:param bool verbose:
Whether to print out verbose details.
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Set AWS_PROFILE environment variable based on `--profile` option.
if profile_name:
os.environ["AWS_PROFILE"] = profile_name
# Load environment variables from the config file into the actual
# environment.
env_vars = cfg.get("environment_variables")
if env_vars:
for key, value in env_vars.items():
os.environ[key] = get_environment_variable_value(value)
# Load and parse event file.
path_to_event_file = os.path.join(src, event_file)
event = read(path_to_event_file, loader=json.loads)
# Tweak to allow module to import local modules
try:
sys.path.index(src)
except ValueError:
sys.path.append(src)
handler = cfg.get("handler")
# Inspect the handler string (<module>.<function name>) and translate it
# into a function we can execute.
fn = get_callable_handler_function(src, handler)
timeout = cfg.get("timeout")
if timeout:
context = LambdaContext(cfg.get("function_name"), timeout)
else:
context = LambdaContext(cfg.get("function_name"))
start = time.time()
results = fn(event, context)
end = time.time()
print("{0}".format(results))
if verbose:
print(
"\nexecution time: {:.8f}s\nfunction execution "
"timeout: {:2}s".format(end - start, cfg.get("timeout", 15))
) |
def find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | def to_python(self, value):
if not value:
return [] |
def find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | def get_prep_value(self, value):
return ','.join(value) |
def find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | 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 find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | 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 find(cls, params=None):
if params is None:
params = dict()
response = cls(Api.call('sales/detail_sale', params))
return response.sale | 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 of iterations'
self.assertRegex(err_msg, 'Ran out') |
def get_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | 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_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | 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.module_from_spec(spec)
spec.loader.exec_module(module)
elif sys.version_info[0] == 3 and sys.version_info[1] < 5:
import importlib.machinery
loader = importlib.machinery.SourceFileLoader(module_name, module_path)
module = loader.load_module()
return module |
def get_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | def __init__(self, field):
self.field = field |
def get_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | def __get__(self, instance, owner):
if instance is None:
raise AttributeError # ? |
def get_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | def __set__(self, instance, value):
instance.__dict__[self.field.name] = value
setattr(instance, self.field.attname, json.dumps(value)) |
def get_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | def __delete__(self, instance):
del(instance.__dict__[self.field.name])
setattr(instance, self.field.attname, json.dumps(None)) |
def get_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | def get_attname(self):
return "%s_json" % self.name |
def get_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | 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_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | 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(os.path.abspath(__file__)), "project_templates",
)
for filename in os.listdir(templates_path):
if (minimal and filename == "event.json") or filename.endswith(".pyc"):
continue
dest_path = os.path.join(templates_path, filename)
if not os.path.isdir(dest_path):
copy(dest_path, src) |
def get_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | 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
config.yaml and handler module (e.g.: service.py).
:param int keep_last_versions:
The number of recent versions to keep and not delete
"""
if keep_last_versions <= 0:
print("Won't delete all versions. Please do this manually")
else:
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
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(
"lambda",
profile_name,
aws_access_key_id,
aws_secret_access_key,
cfg.get("region"),
)
response = client.list_versions_by_function(
FunctionName=cfg.get("function_name"),
)
versions = response.get("Versions")
if len(response.get("Versions")) < keep_last_versions:
print("Nothing to delete. (Too few versions published)")
else:
version_numbers = [
elem.get("Version") for elem in versions[1:-keep_last_versions]
]
for version_number in version_numbers:
try:
client.delete_function(
FunctionName=cfg.get("function_name"),
Qualifier=version_number,
)
except botocore.exceptions.ClientError as e:
print(f"Skipping Version {version_number}: {e}") |
def get_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | 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 handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Copy all the pip dependencies required to run your code into a temporary
# folder then add the handler file in the root of this directory.
# Zip the contents of this folder into a single file and output to the dist
# directory.
path_to_zip_file = build(
src,
config_file=config_file,
requirements=requirements,
local_package=local_package,
)
existing_config = get_function_config(cfg)
if existing_config:
update_function(
cfg, path_to_zip_file, existing_config, preserve_vpc=preserve_vpc
)
else:
create_function(cfg, path_to_zip_file) |
def get_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | 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 handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Copy all the pip dependencies required to run your code into a temporary
# folder then add the handler file in the root of this directory.
# Zip the contents of this folder into a single file and output to the dist
# directory.
path_to_zip_file = build(
src,
config_file=config_file,
requirements=requirements,
local_package=local_package,
)
use_s3 = True
s3_file = upload_s3(cfg, path_to_zip_file, use_s3)
existing_config = get_function_config(cfg)
if existing_config:
update_function(
cfg,
path_to_zip_file,
existing_config,
use_s3=use_s3,
s3_file=s3_file,
preserve_vpc=preserve_vpc,
)
else:
create_function(cfg, path_to_zip_file, use_s3=use_s3, s3_file=s3_file) |
def get_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | 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).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Copy all the pip dependencies required to run your code into a temporary
# folder then add the handler file in the root of this directory.
# Zip the contents of this folder into a single file and output to the dist
# directory.
path_to_zip_file = build(
src,
config_file=config_file,
requirements=requirements,
local_package=local_package,
)
upload_s3(cfg, path_to_zip_file) |
def get_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | 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).
:param str alt_event:
An optional argument to override which event file to use.
:param bool verbose:
Whether to print out verbose details.
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Set AWS_PROFILE environment variable based on `--profile` option.
if profile_name:
os.environ["AWS_PROFILE"] = profile_name
# Load environment variables from the config file into the actual
# environment.
env_vars = cfg.get("environment_variables")
if env_vars:
for key, value in env_vars.items():
os.environ[key] = get_environment_variable_value(value)
# Load and parse event file.
path_to_event_file = os.path.join(src, event_file)
event = read(path_to_event_file, loader=json.loads)
# Tweak to allow module to import local modules
try:
sys.path.index(src)
except ValueError:
sys.path.append(src)
handler = cfg.get("handler")
# Inspect the handler string (<module>.<function name>) and translate it
# into a function we can execute.
fn = get_callable_handler_function(src, handler)
timeout = cfg.get("timeout")
if timeout:
context = LambdaContext(cfg.get("function_name"), timeout)
else:
context = LambdaContext(cfg.get("function_name"))
start = time.time()
results = fn(event, context)
end = time.time()
print("{0}".format(results))
if verbose:
print(
"\nexecution time: {:.8f}s\nfunction execution "
"timeout: {:2}s".format(end - start, cfg.get("timeout", 15))
) |
def get_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | def to_python(self, value):
if not value:
return [] |
def get_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | def get_prep_value(self, value):
return ','.join(value) |
def get_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | 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_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | 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_db():
"""Connects to Mongo database"""
if not hasattr(g, 'mongo_client'):
g.mongo_client = connect_client()
g.mongo_db = getattr(g.mongo_client, app.config['DB_NAME'])
g.groups_collection = g.mongo_db[os.environ.get('DB_GROUPS_COLLECTION')]
return g.mongo_db | 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 of iterations'
self.assertRegex(err_msg, 'Ran out') |
def build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | 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 build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | 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.module_from_spec(spec)
spec.loader.exec_module(module)
elif sys.version_info[0] == 3 and sys.version_info[1] < 5:
import importlib.machinery
loader = importlib.machinery.SourceFileLoader(module_name, module_path)
module = loader.load_module()
return module |
def build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | def __init__(self, field):
self.field = field |
def build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | def __get__(self, instance, owner):
if instance is None:
raise AttributeError # ? |
def build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | def __set__(self, instance, value):
instance.__dict__[self.field.name] = value
setattr(instance, self.field.attname, json.dumps(value)) |
def build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | def __delete__(self, instance):
del(instance.__dict__[self.field.name])
setattr(instance, self.field.attname, json.dumps(None)) |
def build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | def get_attname(self):
return "%s_json" % self.name |
def build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | 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 build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | 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(os.path.abspath(__file__)), "project_templates",
)
for filename in os.listdir(templates_path):
if (minimal and filename == "event.json") or filename.endswith(".pyc"):
continue
dest_path = os.path.join(templates_path, filename)
if not os.path.isdir(dest_path):
copy(dest_path, src) |
def build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | 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
config.yaml and handler module (e.g.: service.py).
:param int keep_last_versions:
The number of recent versions to keep and not delete
"""
if keep_last_versions <= 0:
print("Won't delete all versions. Please do this manually")
else:
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
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(
"lambda",
profile_name,
aws_access_key_id,
aws_secret_access_key,
cfg.get("region"),
)
response = client.list_versions_by_function(
FunctionName=cfg.get("function_name"),
)
versions = response.get("Versions")
if len(response.get("Versions")) < keep_last_versions:
print("Nothing to delete. (Too few versions published)")
else:
version_numbers = [
elem.get("Version") for elem in versions[1:-keep_last_versions]
]
for version_number in version_numbers:
try:
client.delete_function(
FunctionName=cfg.get("function_name"),
Qualifier=version_number,
)
except botocore.exceptions.ClientError as e:
print(f"Skipping Version {version_number}: {e}") |
def build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | 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 handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Copy all the pip dependencies required to run your code into a temporary
# folder then add the handler file in the root of this directory.
# Zip the contents of this folder into a single file and output to the dist
# directory.
path_to_zip_file = build(
src,
config_file=config_file,
requirements=requirements,
local_package=local_package,
)
existing_config = get_function_config(cfg)
if existing_config:
update_function(
cfg, path_to_zip_file, existing_config, preserve_vpc=preserve_vpc
)
else:
create_function(cfg, path_to_zip_file) |
def build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | 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 handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Copy all the pip dependencies required to run your code into a temporary
# folder then add the handler file in the root of this directory.
# Zip the contents of this folder into a single file and output to the dist
# directory.
path_to_zip_file = build(
src,
config_file=config_file,
requirements=requirements,
local_package=local_package,
)
use_s3 = True
s3_file = upload_s3(cfg, path_to_zip_file, use_s3)
existing_config = get_function_config(cfg)
if existing_config:
update_function(
cfg,
path_to_zip_file,
existing_config,
use_s3=use_s3,
s3_file=s3_file,
preserve_vpc=preserve_vpc,
)
else:
create_function(cfg, path_to_zip_file, use_s3=use_s3, s3_file=s3_file) |
def build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | 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).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Copy all the pip dependencies required to run your code into a temporary
# folder then add the handler file in the root of this directory.
# Zip the contents of this folder into a single file and output to the dist
# directory.
path_to_zip_file = build(
src,
config_file=config_file,
requirements=requirements,
local_package=local_package,
)
upload_s3(cfg, path_to_zip_file) |
def build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | 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).
:param str alt_event:
An optional argument to override which event file to use.
:param bool verbose:
Whether to print out verbose details.
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Set AWS_PROFILE environment variable based on `--profile` option.
if profile_name:
os.environ["AWS_PROFILE"] = profile_name
# Load environment variables from the config file into the actual
# environment.
env_vars = cfg.get("environment_variables")
if env_vars:
for key, value in env_vars.items():
os.environ[key] = get_environment_variable_value(value)
# Load and parse event file.
path_to_event_file = os.path.join(src, event_file)
event = read(path_to_event_file, loader=json.loads)
# Tweak to allow module to import local modules
try:
sys.path.index(src)
except ValueError:
sys.path.append(src)
handler = cfg.get("handler")
# Inspect the handler string (<module>.<function name>) and translate it
# into a function we can execute.
fn = get_callable_handler_function(src, handler)
timeout = cfg.get("timeout")
if timeout:
context = LambdaContext(cfg.get("function_name"), timeout)
else:
context = LambdaContext(cfg.get("function_name"))
start = time.time()
results = fn(event, context)
end = time.time()
print("{0}".format(results))
if verbose:
print(
"\nexecution time: {:.8f}s\nfunction execution "
"timeout: {:2}s".format(end - start, cfg.get("timeout", 15))
) |
def build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | def to_python(self, value):
if not value:
return [] |
def build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | def get_prep_value(self, value):
return ','.join(value) |
def build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | 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 build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | 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 build(
src,
requirements=None,
local_package=None,
config_file="config.yaml",
profile_name=None,
):
"""Builds the file bundle.
:param str src:
The path to your Lambda ready project (folder must contain a valid
config.yaml and handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Get the absolute path to the output directory and create it if it doesn't
# already exist.
dist_directory = cfg.get("dist_directory", "dist")
path_to_dist = os.path.join(src, dist_directory)
mkdir(path_to_dist)
# Combine the name of the Lambda function with the current timestamp to use
# for the output filename.
function_name = cfg.get("function_name")
output_filename = "{0}-{1}.zip".format(timestamp(), function_name)
path_to_temp = mkdtemp(prefix="aws-lambda")
pip_install_to_target(
path_to_temp, requirements=requirements, local_package=local_package,
)
# Hack for Zope.
if "zope" in os.listdir(path_to_temp):
print(
"Zope packages detected; fixing Zope package paths to "
"make them importable.",
)
# Touch.
with open(os.path.join(path_to_temp, "zope/__init__.py"), "wb"):
pass
# Gracefully handle whether ".zip" was included in the filename or not.
output_filename = (
"{0}.zip".format(output_filename)
if not output_filename.endswith(".zip")
else output_filename
)
# Allow definition of source code directories we want to build into our
# zipped package.
build_config = defaultdict(**cfg.get("build", {}))
build_source_directories = build_config.get("source_directories", "")
build_source_directories = (
build_source_directories
if build_source_directories is not None
else ""
)
source_directories = [
d.strip() for d in build_source_directories.split(",")
]
files = []
for filename in os.listdir(src):
if os.path.isfile(filename):
if filename == ".DS_Store":
continue
if filename == config_file:
continue
print("Bundling: %r" % filename)
files.append(os.path.join(src, filename))
elif os.path.isdir(filename) and filename in source_directories:
print("Bundling directory: %r" % filename)
files.append(os.path.join(src, filename))
# "cd" into `temp_path` directory.
os.chdir(path_to_temp)
for f in files:
if os.path.isfile(f):
_, filename = os.path.split(f)
# Copy handler file into root of the packages folder.
copyfile(f, os.path.join(path_to_temp, filename))
copystat(f, os.path.join(path_to_temp, filename))
elif os.path.isdir(f):
src_path_length = len(src) + 1
destination_folder = os.path.join(
path_to_temp, f[src_path_length:]
)
copytree(f, destination_folder)
# Zip them together into a single file.
# TODO: Delete temp directory created once the archive has been compiled.
path_to_zip_file = archive("./", path_to_dist, output_filename)
return path_to_zip_file | 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 of iterations'
self.assertRegex(err_msg, 'Ran out') |
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 name>`.
"""
# "cd" into `src` directory.
os.chdir(src)
module_name, function_name = handler.split(".")
filename = get_handler_filename(handler)
path_to_module_file = os.path.join(src, filename)
module = load_source(module_name, path_to_module_file)
return getattr(module, function_name) | 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_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 name>`.
"""
# "cd" into `src` directory.
os.chdir(src)
module_name, function_name = handler.split(".")
filename = get_handler_filename(handler)
path_to_module_file = os.path.join(src, filename)
module = load_source(module_name, path_to_module_file)
return getattr(module, function_name) | 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.module_from_spec(spec)
spec.loader.exec_module(module)
elif sys.version_info[0] == 3 and sys.version_info[1] < 5:
import importlib.machinery
loader = importlib.machinery.SourceFileLoader(module_name, module_path)
module = loader.load_module()
return module |
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 name>`.
"""
# "cd" into `src` directory.
os.chdir(src)
module_name, function_name = handler.split(".")
filename = get_handler_filename(handler)
path_to_module_file = os.path.join(src, filename)
module = load_source(module_name, path_to_module_file)
return getattr(module, function_name) | def __init__(self, field):
self.field = field |
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 name>`.
"""
# "cd" into `src` directory.
os.chdir(src)
module_name, function_name = handler.split(".")
filename = get_handler_filename(handler)
path_to_module_file = os.path.join(src, filename)
module = load_source(module_name, path_to_module_file)
return getattr(module, function_name) | def __get__(self, instance, owner):
if instance is None:
raise AttributeError # ? |
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 name>`.
"""
# "cd" into `src` directory.
os.chdir(src)
module_name, function_name = handler.split(".")
filename = get_handler_filename(handler)
path_to_module_file = os.path.join(src, filename)
module = load_source(module_name, path_to_module_file)
return getattr(module, function_name) | def __set__(self, instance, value):
instance.__dict__[self.field.name] = value
setattr(instance, self.field.attname, json.dumps(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 name>`.
"""
# "cd" into `src` directory.
os.chdir(src)
module_name, function_name = handler.split(".")
filename = get_handler_filename(handler)
path_to_module_file = os.path.join(src, filename)
module = load_source(module_name, path_to_module_file)
return getattr(module, function_name) | def __delete__(self, instance):
del(instance.__dict__[self.field.name])
setattr(instance, self.field.attname, json.dumps(None)) |
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 name>`.
"""
# "cd" into `src` directory.
os.chdir(src)
module_name, function_name = handler.split(".")
filename = get_handler_filename(handler)
path_to_module_file = os.path.join(src, filename)
module = load_source(module_name, path_to_module_file)
return getattr(module, function_name) | def get_attname(self):
return "%s_json" % self.name |
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 name>`.
"""
# "cd" into `src` directory.
os.chdir(src)
module_name, function_name = handler.split(".")
filename = get_handler_filename(handler)
path_to_module_file = os.path.join(src, filename)
module = load_source(module_name, path_to_module_file)
return getattr(module, function_name) | 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_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 name>`.
"""
# "cd" into `src` directory.
os.chdir(src)
module_name, function_name = handler.split(".")
filename = get_handler_filename(handler)
path_to_module_file = os.path.join(src, filename)
module = load_source(module_name, path_to_module_file)
return getattr(module, function_name) | 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(os.path.abspath(__file__)), "project_templates",
)
for filename in os.listdir(templates_path):
if (minimal and filename == "event.json") or filename.endswith(".pyc"):
continue
dest_path = os.path.join(templates_path, filename)
if not os.path.isdir(dest_path):
copy(dest_path, src) |
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 name>`.
"""
# "cd" into `src` directory.
os.chdir(src)
module_name, function_name = handler.split(".")
filename = get_handler_filename(handler)
path_to_module_file = os.path.join(src, filename)
module = load_source(module_name, path_to_module_file)
return getattr(module, function_name) | 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
config.yaml and handler module (e.g.: service.py).
:param int keep_last_versions:
The number of recent versions to keep and not delete
"""
if keep_last_versions <= 0:
print("Won't delete all versions. Please do this manually")
else:
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
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(
"lambda",
profile_name,
aws_access_key_id,
aws_secret_access_key,
cfg.get("region"),
)
response = client.list_versions_by_function(
FunctionName=cfg.get("function_name"),
)
versions = response.get("Versions")
if len(response.get("Versions")) < keep_last_versions:
print("Nothing to delete. (Too few versions published)")
else:
version_numbers = [
elem.get("Version") for elem in versions[1:-keep_last_versions]
]
for version_number in version_numbers:
try:
client.delete_function(
FunctionName=cfg.get("function_name"),
Qualifier=version_number,
)
except botocore.exceptions.ClientError as e:
print(f"Skipping Version {version_number}: {e}") |
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 name>`.
"""
# "cd" into `src` directory.
os.chdir(src)
module_name, function_name = handler.split(".")
filename = get_handler_filename(handler)
path_to_module_file = os.path.join(src, filename)
module = load_source(module_name, path_to_module_file)
return getattr(module, function_name) | 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 handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Copy all the pip dependencies required to run your code into a temporary
# folder then add the handler file in the root of this directory.
# Zip the contents of this folder into a single file and output to the dist
# directory.
path_to_zip_file = build(
src,
config_file=config_file,
requirements=requirements,
local_package=local_package,
)
existing_config = get_function_config(cfg)
if existing_config:
update_function(
cfg, path_to_zip_file, existing_config, preserve_vpc=preserve_vpc
)
else:
create_function(cfg, path_to_zip_file) |
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 name>`.
"""
# "cd" into `src` directory.
os.chdir(src)
module_name, function_name = handler.split(".")
filename = get_handler_filename(handler)
path_to_module_file = os.path.join(src, filename)
module = load_source(module_name, path_to_module_file)
return getattr(module, function_name) | 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 handler module (e.g.: service.py).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Copy all the pip dependencies required to run your code into a temporary
# folder then add the handler file in the root of this directory.
# Zip the contents of this folder into a single file and output to the dist
# directory.
path_to_zip_file = build(
src,
config_file=config_file,
requirements=requirements,
local_package=local_package,
)
use_s3 = True
s3_file = upload_s3(cfg, path_to_zip_file, use_s3)
existing_config = get_function_config(cfg)
if existing_config:
update_function(
cfg,
path_to_zip_file,
existing_config,
use_s3=use_s3,
s3_file=s3_file,
preserve_vpc=preserve_vpc,
)
else:
create_function(cfg, path_to_zip_file, use_s3=use_s3, s3_file=s3_file) |
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 name>`.
"""
# "cd" into `src` directory.
os.chdir(src)
module_name, function_name = handler.split(".")
filename = get_handler_filename(handler)
path_to_module_file = os.path.join(src, filename)
module = load_source(module_name, path_to_module_file)
return getattr(module, function_name) | 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).
:param str local_package:
The path to a local package with should be included in the deploy as
well (and/or is not available on PyPi)
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Copy all the pip dependencies required to run your code into a temporary
# folder then add the handler file in the root of this directory.
# Zip the contents of this folder into a single file and output to the dist
# directory.
path_to_zip_file = build(
src,
config_file=config_file,
requirements=requirements,
local_package=local_package,
)
upload_s3(cfg, path_to_zip_file) |
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 name>`.
"""
# "cd" into `src` directory.
os.chdir(src)
module_name, function_name = handler.split(".")
filename = get_handler_filename(handler)
path_to_module_file = os.path.join(src, filename)
module = load_source(module_name, path_to_module_file)
return getattr(module, function_name) | 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).
:param str alt_event:
An optional argument to override which event file to use.
:param bool verbose:
Whether to print out verbose details.
"""
# Load and parse the config file.
path_to_config_file = os.path.join(src, config_file)
cfg = read_cfg(path_to_config_file, profile_name)
# Set AWS_PROFILE environment variable based on `--profile` option.
if profile_name:
os.environ["AWS_PROFILE"] = profile_name
# Load environment variables from the config file into the actual
# environment.
env_vars = cfg.get("environment_variables")
if env_vars:
for key, value in env_vars.items():
os.environ[key] = get_environment_variable_value(value)
# Load and parse event file.
path_to_event_file = os.path.join(src, event_file)
event = read(path_to_event_file, loader=json.loads)
# Tweak to allow module to import local modules
try:
sys.path.index(src)
except ValueError:
sys.path.append(src)
handler = cfg.get("handler")
# Inspect the handler string (<module>.<function name>) and translate it
# into a function we can execute.
fn = get_callable_handler_function(src, handler)
timeout = cfg.get("timeout")
if timeout:
context = LambdaContext(cfg.get("function_name"), timeout)
else:
context = LambdaContext(cfg.get("function_name"))
start = time.time()
results = fn(event, context)
end = time.time()
print("{0}".format(results))
if verbose:
print(
"\nexecution time: {:.8f}s\nfunction execution "
"timeout: {:2}s".format(end - start, cfg.get("timeout", 15))
) |
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 name>`.
"""
# "cd" into `src` directory.
os.chdir(src)
module_name, function_name = handler.split(".")
filename = get_handler_filename(handler)
path_to_module_file = os.path.join(src, filename)
module = load_source(module_name, path_to_module_file)
return getattr(module, function_name) | def to_python(self, value):
if not value:
return [] |