SaschaHeyer

FROM golang:1.12 as build

WORKDIR $GOPATH/src/github.com/Irio/wohnung
COPY scraper scraper
COPY main.go .

RUN go get -d -v ./...
RUN go install

FROM gcr.io/distroless/base

SaschaHeyer

URL = "https://api.ioannotator.com/api/export"
# parameter
apikey = "PZK888A-AEQMDPY-MKKPU2Q-JZ786NX"
dataset = "5758665286207488"
# defining a params dict for the parameters to be sent to the IO Annotator API
PARAMS = {'apikey':apikey, 'dataset': dataset}
# sending get request and saving the response (annotations) as response object
r = requests.get(url = URL, params = PARAMS)
# extracting data in json format
data = r.json()

SaschaHeyer

// install the package
// npm install simple-api-management-nodejs

const simpleAPIManagement = require('simple-api-management-nodejs');
app.use(simpleAPIManagement(
{
    apiKey: 'add your API key',
}
));

SaschaHeyer

docker pull tensorflow/serving            

docker run -p 8501:8501 \
  --mount type=bind,source=/path/to/my_model/,target=/models/my_model \
  -e MODEL_NAME=my_model -t tensorflow/serving

SaschaHeyer

@component() 
def concat(a: str, b: str) -> str:
  return a + b

@component
def reverse(a: str)->NamedTuple("outputs", [("before", str), ("after", str)]):
  return a, a[::-1]

SaschaHeyer

import kfp

from kfp.v2.dsl import pipeline
from kfp.v2.dsl import component

from kfp.v2 import compiler

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@component(output_component_file="component.yaml") 

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@pipeline(name="basic-pipeline",
description="A basic pipeline with function based components", 
              pipeline_root='gs://doit-vertex-ai-demo/basic-pipeine')
def basic_pipeline(a: str='stres', b: str='sed'):
    concat_task = concat(a, b)
    reverse_task = reverse(concat_task.output)

SaschaHeyer

compiler.Compiler().compile(
  pipeline_func=basic_pipeline, 
  package_path="basic_pipeline.json"
)

SaschaHeyer

set_cpu_limit('CPU_LIMIT')
set_memory_limit('MEMORY_LIMIT')