Usage testing actor
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Usage testing actor
frantisek/usage-testing-actor
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Actor for testing different platform usage types
.editorconfig
1root = true
2
3[*]
4indent_style = space
5indent_size = 4
6charset = utf-8
7trim_trailing_whitespace = true
8insert_final_newline = true
9end_of_line = lf.eslintrc
1{
2 "extends": "@apify"
3}.gitignore
1# This file tells Git which files shouldn't be added to source control
2
3.idea
4node_modulesDockerfile
1# First, specify the base Docker image. You can read more about
2# the available images at https://sdk.apify.com/docs/guides/docker-images
3# You can also use any other image from Docker Hub.
4FROM apify/actor-node:16
5
6# Second, copy just package.json and package-lock.json since it should be
7# the only file that affects "npm install" in the next step, to speed up the build
8COPY package*.json ./
9
10# Install NPM packages, skip optional and development dependencies to
11# keep the image small. Avoid logging too much and print the dependency
12# tree for debugging
13RUN npm --quiet set progress=false \
14 && npm install --only=prod --no-optional \
15 && echo "Installed NPM packages:" \
16 && (npm list --only=prod --no-optional --all || true) \
17 && echo "Node.js version:" \
18 && node --version \
19 && echo "NPM version:" \
20 && npm --version
21
22# Next, copy the remaining files and directories with the source code.
23# Since we do this after NPM install, quick build will be really fast
24# for most source file changes.
25COPY . ./
26
27# Optionally, specify how to launch the source code of your actor.
28# By default, Apify's base Docker images define the CMD instruction
29# that runs the Node.js source code using the command specified
30# in the "scripts.start" section of the package.json file.
31# In short, the instruction looks something like this:
32#
33# CMD npm startINPUT_SCHEMA.json
1{
2 "title": "Input schema for the apify_project actor.",
3 "type": "object",
4 "schemaVersion": 1,
5 "properties": {
6 "test": {
7 "title": "Test",
8 "type": "string",
9 "description": "There is testing input field description.",
10 "editor": "textfield"
11 }
12 },
13 "required": []
14}apify.json
1{
2 "env": { "npm_config_loglevel": "silent" }
3}main.js
1const Apify = require('apify');
2const axios = require('axios');
3
4const fs = require('fs');
5const megabyteFile = fs.readFileSync('./megabyte_image.jpeg');
6
7Apify.main(async () => {
8 // 6 dataset writes
9 console.log('Writing to dataset...')
10 await Apify.pushData([{ a: 1 }]);
11 await Apify.pushData([{ a: 1 }, { a: 1 }]);
12 await Apify.pushData([{ a: 1 }, { a: 1 }, { a: 1 }]);
13
14 // console.log('Generating data...')
15 // const megabyteBuffer = Buffer.from(Array.from({ length: 1024 * 1024 }, () => Math.floor(Math.random() * 256)));
16 // console.log(`Generated data of length ${megabyteBuffer.length} bytes`);
17
18 // 1 key-value store write is platform storing run input
19 // 3 key-value store writes, 3 MB internal transfer
20 console.log('Writing to key-value store...')
21 await Apify.setValue('OUTPUT', megabyteFile, { contentType: 'image/jpeg' });
22 await Apify.setValue('OUTPUT', megabyteFile, { contentType: 'image/jpeg' });
23 await Apify.setValue('OUTPUT', megabyteFile, { contentType: 'image/jpeg' });
24
25 // 2 key-value store writes, 2 MB internal transfer
26 console.log('Reading from key-value store...')
27 await Apify.getValue('OUTPUT');
28 await Apify.getValue('OUTPUT');
29
30 // 6 dataset reads
31 console.log('Reading from dataset...')
32 // Wait for MongoUpdateThrottled
33 await Apify.utils.sleep(5000);
34 const dataset = await Apify.openDataset();
35 const datasetData = await dataset.getData();
36
37 // 1 key-value store list
38 const keyValueStore = await Apify.openKeyValueStore();
39 await keyValueStore.forEachKey(async (key, index, info) => {
40 console.log(`Key at ${index}: ${key} has size ${info.size}`);
41 });
42
43 // 3 request queue writes
44 console.log('Writing to request queue...')
45 const queue = await Apify.openRequestQueue();
46 await queue.addRequest({ url: 'http://example.com/aaa' });
47 await queue.addRequest({ url: 'http://example.com/bbb' });
48 await queue.addRequest({ url: 'http://example.com/foo/bar' }, { forefront: true });
49
50 // 2 request queue reads
51 console.log('Reading from request queue...')
52 const request = await queue.fetchNextRequest()
53 await queue.getRequest(request.id);
54
55 // 1 MB external transfer
56 console.log('Doing external network request...')
57 await axios.post('https://example.com', megabyteFile);
58});megabyte_image.jpeg
package.json
1{
2 "name": "project-empty",
3 "version": "0.0.1",
4 "description": "This is a boilerplate of an Apify actor.",
5 "dependencies": {
6 "apify": "^2.3.2"
7 },
8 "devDependencies": {
9 "@apify/eslint-config": "^0.1.3",
10 "eslint": "^7.0.0"
11 },
12 "scripts": {
13 "start": "node main.js",
14 "lint": "./node_modules/.bin/eslint ./src --ext .js,.jsx",
15 "lint:fix": "./node_modules/.bin/eslint ./src --ext .js,.jsx --fix",
16 "test": "echo \"Error: oops, the actor has no tests yet, sad!\" && exit 1"
17 },
18 "author": "It's not you it's me",
19 "license": "ISC"
20}Developer
František NesvedaMaintained by Community
Actor Metrics
2 monthly users
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2 stars
0% runs succeeded
Created in Jun 2022
Modified 2 years ago
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