问题
I've been beating on this for over a week and been through all sorts of forum issues and posts and cannot resolve. I'm trying to package numpy in a function, individually building requirements (I have multiple functions with multiple requirements that I'd like to keep separate).
Environment:
Windows 10 Home
Docker Toolbox for Windows:
Client:
Version: 18.03.0-ce
API version: 1.37
Go version: go1.9.4
Git commit: 0520e24302
Built: Fri Mar 23 08:31:36 2018
OS/Arch: windows/amd64
Experimental: false
Orchestrator: swarm
Server: Docker Engine - Community
Engine:
Version: 18.09.0
API version: 1.39 (minimum version 1.12)
Go version: go1.10.4
Git commit: 4d60db4
Built: Wed Nov 7 00:52:55 2018
OS/Arch: linux/amd64
Experimental: false
Serverless Version:
serverless version 6.4.1
serverless-python-requirements version 6.4.1
Directory Structure:
|-test
|-env.yml
|-serverless.yml
|-Dockerfile
|-functions
|-f1
|-index.py
|-requirements.txt
|-sub_function_1.py
|-sub_function_2.py
|-f2
|-index.py
|-requirements.txt
|-sub_function_3.py
|-sub_function_4.py
serverless.yml
service: test
plugins:
- serverless-python-requirements
custom:
pythonRequirements:
zip: true
dockerFile: Dockerfile
dockerizePip: non-linux
provider:
name: aws
runtime: python3.6
stage: dev
environment: ${file(./env.yml):${opt:stage, self:provider.stage}.env}
region: ${file(./env.yml):${opt:stage, self:provider.stage}.aws.region}
profile: ${file(./env.yml):${opt:stage, self:provider.stage}.aws.profile}
package:
individually: true
functions:
f1:
handler:index.handler
module:functions/f1
f2:
handler:index.handleer
module:functions/f2
I have my project files in C:\Serverless\test. I run npm init
, followed by npm i --save serverless-python-requirements
, accepting all defaults. I get the following on sls deploy -v
. even though I've added C:\ to Shared Folders on the running default VM in VirtualBox, and selected auto-mount and permanent.

If I comment out both dockerizePip and dockerFile I get the following as expected based on here and other SO posts:
Serverless: Invoke invoke
{
"errorMessage": "Unable to import module 'index'"
}
If I comment out dockerfile I get:
Serverless: Docker Image: lambci/lambda:build-python3.6
Error --------------------------------------------------
error during connect: Get https://XXXXXX/v1.37/version: dial tcp
XXXXXXXXXX: connectex: A connection attempt failed because the
connected party did not properly respond after a period of time, or
established connection failed because connected host has failed to
respond.
at dockerCommand (C:\Serverless\test\node_modules\serverless-python-requirements\lib\docker.js:20:11)
at getBindPath (C:\Serverless\test\node_modules\serverless-python-requirements\lib\docker.js:100:3)
With Dockerfile
# AWS Lambda execution environment is based on Amazon Linux 1
FROM amazonlinux:1
# Install Python 3.6
RUN yum -y install python36 python36-pip
# Install your dependencies
RUN curl -s https://bootstrap.pypa.io/get-pip.py | python3
RUN yum -y install python3-devel mysql-devel gcc
# Set the same WORKDIR as default image
RUN mkdir /var/task
WORKDIR /var/task
.
Serverless: Building custom docker image from Dockerfile...
Serverless: Docker Image: sls-py-reqs-custom
Error --------------------------------------------------
Unable to find good bind path format
For debugging logs, run again after setting the "SLS_DEBUG=*" environment variable.
Stack Trace --------------------------------------------
Error: Unable to find good bind path format
at getBindPath (C:\Serverless\test\node_modules\serverless-python-requirements\lib\docker.js:142:9)
at installRequirements (C:\Serverless\test\node_modules\serverless-python-requirements\lib\pip.js:152:7)
at installRequirementsIfNeeded (C:\Serverless\test\node_modules\serverless-python-requirements\lib\pip.js:451:3)
If I move my project to C:\Users\, I get this instead:
Serverless: Docker Image: sls-py-reqs-custom
Serverless: Trying bindPath /c/Users/Serverless/test/.serverless/requirements (run,--rm,-v,/c/Users/Serverless/test/.serverless/req
uirements:/test,alpine,ls,/test/requirements.txt)
Serverless: /test/requirements.txt
Error --------------------------------------------------
docker: Error response from daemon: create "/c/Users/Serverless/test/.serverless/requirements": "\"/c/Users/Serverless/test/.serv
erless/requirements\"" includes invalid characters for a local volume name, only "[a-zA-Z0-9][a-zA-Z0-9_.-]" are allowed. If you in
tended to pass a host directory, use absolute path.
See 'docker run --help'.
For debugging logs, run again after setting the "SLS_DEBUG=*" environment variable.
Stack Trace --------------------------------------------
Error: docker: Error response from daemon: create "/c/Users/Serverless/test/.serverless/requirements": "\"/c/Users/Serverless/test/
.serverless/requirements\"" includes invalid characters for a local volume name, only "[a-zA-Z0-9][a-zA-Z0-9_.-]" are allowed. If y
ou intended to pass a host directory, use absolute path.
See 'docker run --help'.
at dockerCommand (C:\Users\Serverless\test\node_modules\serverless-python-requirements\lib\docker.js:20:11)
at getDockerUid (C:\Users\Serverless\test\node_modules\serverless-python-requirements\lib\docker.js:162:14)
I've seen the Makefile style recommendation from @brianz here, but I'm not sure how to adapt that to this (Makefiles are not my strong suit). I'm a bit at a loss as to what to do next and advice would be greatly appreciated. TIA.
回答1:
I was unable to make the plugin work but I found a better solution anyhow - Lambda Layers. This is a bonus because it reduces the size of the lambda and allows code/file reuse. There is a pre-built lambda layer for numpy and scipy that you can use, but I built my own to show myself how it all works. Here's how I made it work:
Create a layer package:
- Open an EC2 instance or Ubuntu or Linux or whatever - This is needed so we can compile the runtime binaries correctly
Make a dependencies package zip - Must use the directory structure
python/lib/python3.6/site-packages
for python to find during runtimemkdir -p tmpdir/python/lib/python3.6/site-packages pip install -r requirements.txt --no-deps -t tmpdir/python/lib/python3.6/site-packages cd tmpdir zip -r ../py_dependencies.zip . cd .. rm -r tmpdir
Push layer zip to AWS - requires latest awscli
sudo pip install awscli --upgrade --user sudo aws lambda publish-layer-version \ --layer-name py_dependencies \ --description "Python 3.6 dependencies [numpy=0.15.4]" \ --license-info "MIT" \ --compatible-runtimes python3.6 \ --zip-file fileb://py_dependencies.zip \ --profile python_dev_serverless
To use in any function that requires numpy, just use the arn that is shown in the console or during the upload above
f1: handler: index.handler_f_use_numpy include: - functions/f_use_numpy.py layers: - arn:aws:lambda:us-west-2:XXXXX:layer:py_dependencies:1
As an added bonus, you can push common files like constants to a layer as well. Here's how I did it for testing use in windows and on the lambda:
import platform \# Set common path COMMON_PATH = "../../layers/common/" if platform.system() == "Linux": COMMON_PATH = "/opt/common/" def handler_common(event, context): # Read from a constants.json file with open(COMMON_PATH + 'constants.json') as f: return text = json.load(f)
回答2:
when I got the same issue, I opened docker went to settings/shared drive opted to reset credentials and after applied my changes and this cleared the error
来源:https://stackoverflow.com/questions/53936747/serverless-numpy-unable-to-find-good-bind-path-format