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Lukáš Křivka
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# configurations.idea
# crawlee and apify storage foldersapify_storagecrawlee_storagestorage
# installed filesnode_modules
# git folder.gitroot = true
[*]indent_style = spaceindent_size = 4charset = utf-8trim_trailing_whitespace = trueinsert_final_newline = trueend_of_line = lf{ "root": true, "env": { "browser": true, "es2020": true, "node": true }, "extends": [ "@apify/eslint-config-ts" ], "parserOptions": { "project": "./tsconfig.json", "ecmaVersion": 2020 }, "ignorePatterns": [ "node_modules", "dist", "**/*.d.ts" ]}# This file tells Git which files shouldn't be added to source control
.DS_Store.ideadistnode_modulesapify_storagestorage
# Added by Apify CLI.venv{ "name": "rename-dataset-fields", "version": "0.0.1", "type": "module", "description": "This is a boilerplate of an Apify actor.", "engines": { "node": ">=18.0.0" }, "dependencies": { "apify": "^3.1.10", "crawlee": "^3.5.4" }, "devDependencies": { "@apify/eslint-config-ts": "^0.3.0", "@apify/tsconfig": "^0.1.0", "@typescript-eslint/eslint-plugin": "^6.7.2", "@typescript-eslint/parser": "^6.7.2", "eslint": "^8.50.0", "tsx": "^4.6.2", "typescript": "^5.3.3" }, "scripts": { "start": "npm run start:dev", "start:prod": "node dist/main.js", "start:dev": "tsx src/main.ts", "build": "tsc", "lint": "eslint ./src --ext .ts", "lint:fix": "eslint ./src --ext .ts --fix", "test": "echo \"Error: oops, the actor has no tests yet, sad!\" && exit 1" }, "author": "It's not you it's me", "license": "ISC"}{ "extends": "@apify/tsconfig", "compilerOptions": { "module": "NodeNext", "moduleResolution": "NodeNext", "target": "ES2022", "outDir": "dist", "noUnusedLocals": false, "skipLibCheck": true, "lib": ["DOM"] }, "include": [ "./src/**/*" ]}# Specify the base Docker image. You can read more about# the available images at https://crawlee.dev/docs/guides/docker-images# You can also use any other image from Docker Hub.FROM apify/actor-node:20 AS builder
# Copy just package.json and package-lock.json# to speed up the build using Docker layer cache.COPY package*.json ./
# Install all dependencies. Don't audit to speed up the installation.RUN npm install --include=dev --audit=false
# Next, copy the source files using the user set# in the base image.COPY . ./
# Install all dependencies and build the project.# Don't audit to speed up the installation.RUN npm run build
# Create final imageFROM apify/actor-node:20
# Copy just package.json and package-lock.json# to speed up the build using Docker layer cache.COPY package*.json ./
# Install NPM packages, skip optional and development dependencies to# keep the image small. Avoid logging too much and print the dependency# tree for debuggingRUN npm --quiet set progress=false \ && npm install --omit=dev --omit=optional \ && echo "Installed NPM packages:" \ && (npm list --omit=dev --all || true) \ && echo "Node.js version:" \ && node --version \ && echo "NPM version:" \ && npm --version \ && rm -r ~/.npm
# Copy built JS files from builder imageCOPY /usr/src/app/dist ./dist
# Next, copy the remaining files and directories with the source code.# Since we do this after NPM install, quick build will be really fast# for most source file changes.COPY . ./
# Run the image.CMD npm run start:prod --silent{ "actorSpecification": 1, "name": "rename-dataset-fields", "title": "Project Cheerio Crawler Typescript", "description": "Crawlee and Cheerio project in typescript.", "version": "0.0", "meta": { "templateId": "ts-crawlee-cheerio" }, "input": "./input_schema.json", "dockerfile": "./Dockerfile"}{ "title": "CheerioCrawler Template", "type": "object", "schemaVersion": 1, "properties": { "datasetId": { "title": "Dataset ID", "type": "string", "description": "ID of the dataset you want to rename the columns in. Can also use run ID.", "editor": "textfield" }, "renameMapping": { "title": "Rename fields mapping", "type": "array", "editor": "keyValue", "placeholderKey": "old_field_name", "placeholderValue": "new_field_name", "description": "Mapping of old field names to new field names." } }}1// Apify SDK - toolkit for building Apify Actors (Read more at https://docs.apify.com/sdk/js/)2import { Actor, ActorRun } from 'apify';3
4interface Input {5 renameMapping: { key: string, value: string }[],6 datasetId?: string,7
8 // Maybe take datasetId from webhook9 payload?: { resource: ActorRun },10 resource?: ActorRun,11}12
13// The init() call configures the Actor for its environment. It's recommended to start every Actor with an init()14await Actor.init();15
16// Structure of input is defined in input_schema.json17const {18 datasetId,19 renameMapping = [],20 payload,21 resource,22} = (await Actor.getInput<Input>())!;23
24const realDatasetId = datasetId || payload?.resource?.defaultDatasetId || resource?.defaultDatasetId;25
26const preDedupTransformFunction = (items: Record<string, unknown>[], { customInputData }: { customInputData: { renameMapping: Input['renameMapping'] } }) => {27 return items.map((item) => {28 const newFields: Record<string, unknown> = {};29 customInputData.renameMapping.forEach(({ key: from, value: to }) => {30 if (item[from] !== undefined) {31 newFields[to] = item[from];32 delete item[from];33 }34 });35
36 // We want the renamed fields to be the first in that order37 return {38 ...newFields,39 ...item,40 };41 });42};43
44const dedupActorInput = {45 datasetIds: [realDatasetId],46 preDedupTransformFunction,47 customInputData: {48 renameMapping,49 },50};51
52if (Actor.isAtHome()) {53 await Actor.metamorph('lukaskrivka/dedup-datasets', dedupActorInput);54} else {55 await Actor.call('lukaskrivka/dedup-datasets', dedupActorInput, { waitSecs: 0 });56}57
58// Gracefully exit the Actor process. It's recommended to quit all Actors with an exit()59await Actor.exit();