To work on either of the FaaS Golang components checkout the "./build.sh" scripts and acompanying Dockerfiles.
Functions run as Docker containers with the Watchdog component embedded to handle communication with the API Gateway.
You can find the reference documentation for the Watchdog here.
Markdown Parser
This is the basis of a function which generates HTML from MarkDown:
FROM golang:1.9.7
RUN mkdir -p /go/src/app
COPY handler.go /go/src/app
WORKDIR /go/src/app
RUN go get github.com/microcosm-cc/bluemonday && \
go get github.com/russross/blackfriday
RUN CGO_ENABLED=0 GOOS=linux go build -a -installsuffix cgo -o app .
ADD https://github.com/openfaas/faas/releases/download/0.9.14/fwatchdog /usr/bin
RUN chmod +x /usr/bin/fwatchdog
ENV fprocess="/go/src/app/app"
CMD ["/usr/bin/fwatchdog"]
The base Docker container is not important, you just need to add the watchdog component and then set the fprocess to execute your binary at runtime.
Update the Docker stack with this:
markdown:
image: alexellis2/faas-markdownrender:latest
labels:
function: "true"
networks:
- functions
Word counter with busybox
FROM alpine:latest
ADD https://github.com/openfaas/faas/releases/download/0.9.14/fwatchdog /usr/bin
RUN chmod +x /usr/bin/fwatchdog
ENV fprocess="wc"
CMD ["fwatchdog"]
Update your Docker stack with this definition:
wordcount:
image: alexellis2/faas-alpinefunction:latest
labels:
function: "true"
networks:
- functions
environment:
fprocess: "wc"
Tip:
You can optimize Docker to cache getting the watchdog by using curl, instead of ADD. To do so, replace the related lines with:
RUN apt-get update && apt-get install -y curl \
&& curl -sL https://github.com/openfaas/faas/releases/download/0.9.14/fwatchdog > /usr/bin/fwatchdog \
&& chmod +x /usr/bin/fwatchdog \
&& rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
or with the following for Alpine based images:
RUN apk --no-cache add curl \
&& curl -sL https://github.com/openfaas/faas/releases/download/0.9.14/fwatchdog > /usr/bin/fwatchdog \
&& chmod +x /usr/bin/fwatchdog
You can test your function through a webbrowser against the UI portal on port 8080.
You can also invoke a function by name with curl:
curl --data-binary @README.md http://localhost:8080/function/func_wordcount