Repository navigation
Expand file tree
/
Copy pathaws_lambda.py
More file actions
887 lines (758 loc) · 27.5 KB
/
Copy pathaws_lambda.py
File metadata and controls
887 lines (758 loc) · 27.5 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
import hashlib
import json
import logging
import os
import subprocess
import sys
import time
from collections import defaultdict
from shutil import copy
from shutil import copyfile
from shutil import copystat
from shutil import copytree
from tempfile import mkdtemp
import boto3
import botocore
import yaml
import sys
from .helpers import archive
from .helpers import get_environment_variable_value
from .helpers import LambdaContext
from .helpers import mkdir
from .helpers import read
from .helpers import timestamp
ARN_PREFIXES = {
"cn-north-1": "aws-cn",
"cn-northwest-1": "aws-cn",
"us-gov-west-1": "aws-us-gov",
}
log = logging.getLogger(__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 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 deploy_image(
src,
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)
existing_config = get_function_config(cfg)
update_function(
cfg=cfg,
path_to_zip_file=None,
existing_cfg=existing_config,
preserve_vpc=preserve_vpc,
use_image=True
)
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 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 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 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(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 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_handler_filename(handler):
"""Shortcut to get the filename from the handler string.
:param str handler:
A dot delimited string representing the `<module>.<function name>`.
"""
module_name, _ = handler.split(".")
return "{0}.py".format(module_name)
def _install_packages(path, packages):
"""Install all packages listed to the target directory.
Ignores any package that includes Python itself and python-lambda as well
since its only needed for deploying and not running the code
:param str path:
Path to copy installed pip packages to.
:param list packages:
A list of packages to be installed via pip.
"""
def _filter_blacklist(package):
blacklist = ["-i", "#", "Python==", "python-lambda=="]
return all(package.startswith(entry) is False for entry in blacklist)
filtered_packages = filter(_filter_blacklist, packages)
for package in filtered_packages:
if package.startswith("-e "):
package = package.replace("-e ", "")
print("Installing {package}".format(package=package))
subprocess.check_call(
[
sys.executable,
"-m",
"pip",
"install",
package,
"-t",
path,
"--ignore-installed",
]
)
print(
"Install directory contents are now: {directory}".format(
directory=os.listdir(path)
)
)
def pip_install_to_target(path, requirements=None, local_package=None):
"""For a given active virtualenv, gather all installed pip packages then
copy (re-install) them to the path provided.
:param str path:
Path to copy installed pip packages to.
:param str requirements:
If set, only the packages in the supplied requirements file are
installed.
If not set then installs all packages found via pip freeze.
: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)
"""
packages = []
if not requirements:
print("Gathering pip packages")
pkgStr = subprocess.check_output(
[sys.executable, "-m", "pip", "freeze"]
)
packages.extend(pkgStr.decode("utf-8").splitlines())
else:
if os.path.exists(requirements):
print("Gathering requirement packages")
data = read(requirements)
packages.extend(data.splitlines())
if not packages:
print("No dependency packages installed!")
if local_package is not None:
if not isinstance(local_package, (list, tuple)):
local_package = [local_package]
for l_package in local_package:
packages.append(l_package)
_install_packages(path, packages)
def get_role_name(region, account_id, role):
"""Shortcut to insert the `account_id` and `role` into the iam string."""
prefix = ARN_PREFIXES.get(region, "aws")
return "arn:{0}:iam::{1}:role/{2}".format(prefix, account_id, role)
def get_account_id(
profile_name, aws_access_key_id, aws_secret_access_key, region=None,
):
"""Query STS for a users' account_id"""
client = get_client(
"sts", profile_name, aws_access_key_id, aws_secret_access_key, region,
)
return client.get_caller_identity().get("Account")
def get_client(
client,
profile_name,
aws_access_key_id,
aws_secret_access_key,
region=None,
):
"""Shortcut for getting an initialized instance of the boto3 client."""
boto3.setup_default_session(
profile_name=profile_name,
aws_access_key_id=aws_access_key_id,
aws_secret_access_key=aws_secret_access_key,
region_name=region,
)
return boto3.client(client)
def create_function(cfg, path_to_zip_file, use_s3=False, s3_file=None):
"""Register and upload a function to AWS Lambda."""
print("Creating your new Lambda function")
byte_stream = read(path_to_zip_file, binary_file=True)
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key_id")
aws_secret_access_key = cfg.get("aws_secret_access_key")
account_id = get_account_id(
profile_name,
aws_access_key_id,
aws_secret_access_key,
cfg.get("region",),
)
role = get_role_name(
cfg.get("region"),
account_id,
cfg.get("role", "lambda_basic_execution"),
)
client = get_client(
"lambda",
profile_name,
aws_access_key_id,
aws_secret_access_key,
cfg.get("region"),
)
# Do we prefer development variable over config?
buck_name = os.environ.get("S3_BUCKET_NAME") or cfg.get("bucket_name")
func_name = os.environ.get("LAMBDA_FUNCTION_NAME") or cfg.get(
"function_name"
)
print("Creating lambda function with name: {}".format(func_name))
if use_s3:
kwargs = {
"FunctionName": func_name,
"Runtime": cfg.get("runtime", "python2.7"),
"Role": role,
"Handler": cfg.get("handler"),
"Code": {
"S3Bucket": "{}".format(buck_name),
"S3Key": "{}".format(s3_file),
},
"Description": cfg.get("description", ""),
"Timeout": cfg.get("timeout", 15),
"MemorySize": cfg.get("memory_size", 512),
"VpcConfig": {
"SubnetIds": cfg.get("subnet_ids", []),
"SecurityGroupIds": cfg.get("security_group_ids", []),
},
"Publish": True,
}
else:
kwargs = {
"FunctionName": func_name,
"Runtime": cfg.get("runtime", "python2.7"),
"Role": role,
"Handler": cfg.get("handler"),
"Code": {"ZipFile": byte_stream},
"Description": cfg.get("description", ""),
"Timeout": cfg.get("timeout", 15),
"MemorySize": cfg.get("memory_size", 512),
"VpcConfig": {
"SubnetIds": cfg.get("subnet_ids", []),
"SecurityGroupIds": cfg.get("security_group_ids", []),
},
"Publish": True,
}
if "tags" in cfg:
kwargs.update(
Tags={key: str(value) for key, value in cfg.get("tags").items()}
)
if "environment_variables" in cfg:
kwargs.update(
Environment={
"Variables": {
key: get_environment_variable_value(value)
for key, value in cfg.get("environment_variables").items()
},
},
)
client.create_function(**kwargs)
concurrency = get_concurrency(cfg)
if concurrency > 0:
client.put_function_concurrency(
FunctionName=func_name, ReservedConcurrentExecutions=concurrency
)
def update_function(
cfg,
path_to_zip_file,
existing_cfg,
use_s3=False,
s3_file=None,
preserve_vpc=False,
use_image=False
):
"""Updates the code of an existing Lambda function"""
print("Updating your Lambda function")
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key_id")
aws_secret_access_key = cfg.get("aws_secret_access_key")
account_id = get_account_id(
profile_name,
aws_access_key_id,
aws_secret_access_key,
cfg.get("region",),
)
role = get_role_name(
cfg.get("region"),
account_id,
cfg.get("role", "lambda_basic_execution"),
)
client = get_client(
"lambda",
profile_name,
aws_access_key_id,
aws_secret_access_key,
cfg.get("region"),
)
# Do we prefer development variable over config?
buck_name = os.environ.get("S3_BUCKET_NAME") or cfg.get("bucket_name")
if use_s3:
client.update_function_code(
FunctionName=cfg.get("function_name"),
S3Bucket="{}".format(buck_name),
S3Key="{}".format(s3_file),
Publish=True,
)
elif use_image:
docker_image_uri = cfg.get("docker_image_uri")
if not docker_image_uri:
raise ValueError("Docker image URI must be provided in cfg under 'docker_image_uri'")
client.update_function_code(
FunctionName=cfg.get("function_name"),
ImageUri=docker_image_uri,
Publish=True,
)
else:
client.update_function_code(
FunctionName=cfg.get("function_name"),
ZipFile=read(path_to_zip_file, binary_file=True),
Publish=True,
)
# Wait for function to be updated
waiter = client.get_waiter('function_updated')
waiter.wait(FunctionName=cfg.get("function_name"))
kwargs = {
"FunctionName": cfg.get("function_name"),
"Role": role,
"Runtime": cfg.get("runtime"),
"Handler": cfg.get("handler"),
"Description": cfg.get("description", ""),
"Timeout": cfg.get("timeout", 15),
"MemorySize": cfg.get("memory_size", 512),
}
if use_image:
del kwargs["Runtime"]
del kwargs["Handler"]
if preserve_vpc:
kwargs["VpcConfig"] = existing_cfg.get("Configuration", {}).get(
"VpcConfig"
)
if kwargs["VpcConfig"] is None:
kwargs["VpcConfig"] = {
"SubnetIds": cfg.get("subnet_ids", []),
"SecurityGroupIds": cfg.get("security_group_ids", []),
}
else:
del kwargs["VpcConfig"]["VpcId"]
else:
kwargs["VpcConfig"] = {
"SubnetIds": cfg.get("subnet_ids", []),
"SecurityGroupIds": cfg.get("security_group_ids", []),
}
if "environment_variables" in cfg:
kwargs.update(
Environment={
"Variables": {
key: str(get_environment_variable_value(value))
for key, value in cfg.get("environment_variables").items()
},
},
)
ret = client.update_function_configuration(**kwargs)
concurrency = get_concurrency(cfg)
if concurrency > 0:
client.put_function_concurrency(
FunctionName=cfg.get("function_name"),
ReservedConcurrentExecutions=concurrency,
)
elif "Concurrency" in existing_cfg:
client.delete_function_concurrency(
FunctionName=cfg.get("function_name")
)
if "tags" in cfg:
tags = {key: str(value) for key, value in cfg.get("tags").items()}
if tags != existing_cfg.get("Tags"):
if existing_cfg.get("Tags"):
client.untag_resource(
Resource=ret["FunctionArn"],
TagKeys=list(existing_cfg["Tags"].keys()),
)
client.tag_resource(Resource=ret["FunctionArn"], Tags=tags)
def upload_s3(cfg, path_to_zip_file, *use_s3):
"""Upload a function to AWS S3."""
print("Uploading your new Lambda function")
profile_name = cfg.get("profile")
aws_access_key_id = cfg.get("aws_access_key_id")
aws_secret_access_key = cfg.get("aws_secret_access_key")
client = get_client(
"s3",
profile_name,
aws_access_key_id,
aws_secret_access_key,
cfg.get("region"),
)
byte_stream = b""
with open(path_to_zip_file, mode="rb") as fh:
byte_stream = fh.read()
s3_key_prefix = cfg.get("s3_key_prefix", "/dist")
checksum = hashlib.new("md5", byte_stream).hexdigest()
timestamp = str(time.time())
filename = "{prefix}{checksum}-{ts}.zip".format(
prefix=s3_key_prefix, checksum=checksum, ts=timestamp,
)
# Do we prefer development variable over config?
buck_name = os.environ.get("S3_BUCKET_NAME") or cfg.get("bucket_name")
func_name = os.environ.get("LAMBDA_FUNCTION_NAME") or cfg.get(
"function_name"
)
kwargs = {
"Bucket": "{}".format(buck_name),
"Key": "{}".format(filename),
"Body": byte_stream,
}
client.put_object(**kwargs)
print("Finished uploading {} to S3 bucket {}".format(func_name, buck_name))
if use_s3:
return filename
def get_function_config(cfg):
"""Check whether a function exists or not and return its config"""
function_name = cfg.get("function_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"),
)
try:
return client.get_function(FunctionName=function_name)
except client.exceptions.ResourceNotFoundException as e:
if "Function not found" in str(e):
return False
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 read_cfg(path_to_config_file, profile_name):
cfg = read(path_to_config_file, loader=yaml.full_load)
if profile_name is not None:
cfg["profile"] = profile_name
elif "AWS_PROFILE" in os.environ:
cfg["profile"] = os.environ["AWS_PROFILE"]
return cfg