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//gcloud functions deploy processData --runtime nodejs10 --trigger-resource mysandoxbucket --trigger-event google.storage.object.finalize --project sandbox-project

//set the vars
const datasetId = 'openspace2020';
const tableId = 'imageData';
//load the dependences
const {BigQuery} = require('@google-cloud/bigquery');
const bigquery = new BigQuery();
const vision = require('@google-cloud/vision');
const client = new vision.ImageAnnotatorClient();

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//gcloud functions deploy getData --runtime nodejs12 --trigger-resource mysandoxbucket --trigger-event google.storage.object.finalize --project my-sandbox-project


exports.getData = async (file, context) => {
    //set the vars
    const bucketName = "mysandoxbucket";
    //load the dependences
    const vision = require('@google-cloud/vision');
    console.log(`Data for ${file.name}:`);
    //Ask for labels of image

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let count = 0;
exports.helloWorld = (req, res) => {
  count++;
  if(count<5){
    res.status(500).json({"error": "System error"});
  }else{
    res.status(200).json({"llamada": count});
  }
};

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{
  "name": "encode-md5",
  "version": "0.0.1",
  "dependencies": {
     "md5": "^2.3.0"
   }
}

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- getCurrentTime:
    call: http.get
    args:
        url: http://worldtimeapi.org/api/timezone/Europe/Madrid
    result: CurrentDateTime
- readWikipedia:
    call: http.get
    args:
        url: https://en.wikipedia.org/w/api.php
        query:

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FROM docker:19.03.11 as static-docker-source

FROM debian:buster
ARG CLOUD_SDK_VERSION=299.0.0
ENV CLOUD_SDK_VERSION=$CLOUD_SDK_VERSION
ENV CLOUDSDK_PYTHON=python3
ENV PATH "$PATH:/opt/google-cloud-sdk/bin/"
COPY --from=static-docker-source /usr/local/bin/docker /usr/local/bin/docker
RUN apt-get -qqy update && apt-get install -qqy \
        curl \

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<script src="https://unpkg.com/@tensorflow/tfjs"></script>
<script src="https://unpkg.com/@tensorflow/tfjs-automl"></script>
<img id="daisy" crossorigin="anonymous" src="/hattori.jpeg">
<script>
async function run() {
  const model = await tf.automl.loadImageClassification('model.json');
  const image = document.getElementById('daisy');
  const predictions = await model.classify(image);
  console.log(predictions);
  // Show the resulting object on the page.

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FROM gcr.io/automl-vision-ondevice/gcloud-container-1.12.0:latest

RUN mkdir -p /tmp/mounted_model/0001/
COPY saved_model.pb /tmp/mounted_model/0001/

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SELECT count(repo_name) as numberOfRepos, lang_data.name 
FROM `bigquery-public-data.github_repos.languages`, UNNEST(language) AS lang_data 
WHERE lang_data.name IN ("JavaScript","Java","Python","Ruby","PHP","C","Go") AND
repo_name IN (
    SELECT repo_name
    FROM `bigquery-public-data.github_repos.sample_repos`
    WHERE watch_count>10
    ORDER BY watch_count
)
GROUP BY lang_data.name

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runtime: nodejs10
service: default