forked from MapComplete/MapComplete
367 lines
14 KiB
TypeScript
367 lines
14 KiB
TypeScript
import Script from "./Script"
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import { Overpass } from "../src/Logic/Osm/Overpass"
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import { RegexTag } from "../src/Logic/Tags/RegexTag"
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import { ImmutableStore } from "../src/Logic/UIEventSource"
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import { BBox } from "../src/Logic/BBox"
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import * as fs from "fs"
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import { Feature } from "geojson"
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import ScriptUtils from "./ScriptUtils"
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import { Imgur } from "../src/Logic/ImageProviders/Imgur"
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import { LicenseInfo } from "../src/Logic/ImageProviders/LicenseInfo"
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import { Utils } from "../src/Utils"
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import Constants from "../src/Models/Constants"
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export default class GenerateImageAnalysis extends Script {
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constructor() {
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super(
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"Downloads (from overpass) all tags which have an imgur-image; then analyses the licenses"
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)
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}
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async fetchImages(key: string, datapath: string, refresh: boolean): Promise<void> {
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const targetPath = `${datapath}/features_with_${key.replace(/[:\/]/, "_")}.geojson`
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if (fs.existsSync(targetPath) && !refresh) {
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console.log("Skipping", key)
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return
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}
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const tag = new RegexTag(key, /^https:\/\/i.imgur.com\/.*$/i)
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const overpass = new Overpass(
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tag,
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[],
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Constants.defaultOverpassUrls[0], //"https://overpass.kumi.systems/api/interpreter",
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new ImmutableStore(500),
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undefined,
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false
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)
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console.log("Starting query...")
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const data = await overpass.queryGeoJson(BBox.global)
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console.log(
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"Got data:",
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data[0].features.length,
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"items; timestamp:",
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data[1].toISOString()
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)
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fs.writeFileSync(targetPath, JSON.stringify(data[0]), "utf8")
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console.log("Written", targetPath)
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}
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async downloadData(datapath: string, refresh: boolean): Promise<void> {
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if (!fs.existsSync(datapath)) {
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fs.mkdirSync(datapath)
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}
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await this.fetchImages("image", datapath, refresh)
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await this.fetchImages("image:streetsign", datapath, refresh)
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for (let i = 0; i < 5; i++) {
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await this.fetchImages("image:" + i, datapath, refresh)
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}
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}
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loadData(datapath: string): Feature[] {
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const allFeatures: Feature[] = []
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const files = ScriptUtils.readDirRecSync(datapath)
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for (const file of files) {
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if (!file.endsWith(".geojson")) {
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continue
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}
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const contents = JSON.parse(fs.readFileSync(file, "utf8"))
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allFeatures.push(...contents.features)
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}
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return allFeatures
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}
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async fetchImageMetadata(datapath: string, image: string): Promise<boolean> {
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if (image === undefined) {
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return false
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}
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if (!image.match(/https:\/\/i\.imgur\.com\/[a-zA-Z0-9]+\.jpg/)) {
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return false
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}
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const filename = image.replace(/[\/:.\-%]/g, "_") + ".json"
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const targetPath = datapath + "/" + filename
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if (fs.existsSync(targetPath)) {
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return false
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}
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const attribution = await Imgur.singleton.DownloadAttribution(image)
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if ((attribution.artist ?? "") === "") {
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// This is an invalid attribution. We save the raw response as well
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const hash = image.substr("https://i.imgur.com/".length).split(".jpg")[0]
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const apiUrl = "https://api.imgur.com/3/image/" + hash
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const response = await Utils.downloadJsonCached(apiUrl, 365 * 24 * 60 * 60, {
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Authorization: "Client-ID " + Constants.ImgurApiKey,
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})
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const rawTarget = datapath + "/raw/" + filename
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console.log("Also storing the raw response to", rawTarget)
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await fs.writeFileSync(rawTarget, JSON.stringify(response, null, " "))
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}
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await fs.writeFileSync(targetPath, JSON.stringify(attribution, null, " "))
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return true
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}
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loadImageUrls(datapath: string): { allImages: Set<string>; imageSource: Map<string, string> } {
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let allImages = new Set<string>()
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const features = this.loadData(datapath)
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let imageSource: Map<string, string> = new Map<string, string>()
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for (const feature of features) {
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allImages.add(feature.properties["image"])
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imageSource[feature.properties["image"]] = feature.properties.id
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allImages.add(feature.properties["image:streetsign"])
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imageSource[feature.properties["image:streetsign"]] =
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feature.properties.id + " (streetsign)"
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for (let i = 0; i < 10; i++) {
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allImages.add(feature.properties["image:" + i])
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imageSource[
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feature.properties["image:" + i]
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] = `${feature.properties.id} (image:${i})`
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}
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}
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allImages.delete(undefined)
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allImages.delete(null)
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imageSource.delete(undefined)
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imageSource.delete(null)
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return { allImages, imageSource }
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}
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async downloadMetadata(datapath: string): Promise<void> {
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const { allImages, imageSource } = this.loadImageUrls(datapath)
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console.log("Detected", allImages.size, "images")
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let i = 0
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let d = 0
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let s = 0
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let f = 0
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let start = Date.now()
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for (const image of Array.from(allImages)) {
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i++
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try {
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const downloaded = await this.fetchImageMetadata(datapath, image)
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const runningSecs = (Date.now() - start) / 1000
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const left = allImages.size - i
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const estimatedActualSeconds = Math.floor((left * runningSecs) / (f + d))
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const estimatedActualMinutes = Math.floor(estimatedActualSeconds / 60)
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const msg = `${i}/${
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allImages.size
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} downloaded: ${d},skipped: ${s}, failed: ${f}, running: ${Math.floor(
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runningSecs
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)}sec, ETA: ${estimatedActualMinutes}:${estimatedActualSeconds % 60}`
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if (d + (f % 1000) === 1 || downloaded) {
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ScriptUtils.erasableLog(msg)
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}
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if (downloaded) {
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d++
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} else {
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s++
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}
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if (d + f == 75000) {
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console.log("Used 75000 API calls, leaving 5000 for the rest of the day...")
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break
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}
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} catch (e) {
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// console.log(e)
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console.log(
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"Offending image hash is",
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image,
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"from https://openstreetmap.org/" + imageSource[image]
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)
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f++
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}
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}
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}
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async downloadImage(url: string, imagePath: string): Promise<boolean> {
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const filenameLong = url.replace(/[\/:.\-%]/g, "_") + ".jpg"
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const targetPathLong = imagePath + "/" + filenameLong
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const filename = url.substring("https://i.imgur.com/".length)
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const targetPath = imagePath + "/" + filename
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if (fs.existsSync(targetPathLong)) {
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if (fs.existsSync(targetPath)) {
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fs.unlinkSync(targetPathLong)
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console.log("Unlinking duplicate")
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return false
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}
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console.log("Renaming...")
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fs.renameSync(targetPathLong, targetPath)
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return false
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}
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if (fs.existsSync(targetPath)) {
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return false
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}
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await ScriptUtils.DownloadFileTo(url, targetPath)
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return true
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}
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async downloadAllImages(datapath: string, imagePath: string): Promise<void> {
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const { allImages } = this.loadImageUrls(datapath)
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let skipped = 0
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let failed = 0
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let downloaded = 0
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let invalid = 0
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const startTime = Date.now()
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const urls = Array.from(allImages).filter((url) => url.startsWith("https://i.imgur.com"))
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for (const url of urls) {
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const runningTime = (Date.now() - startTime) / 1000
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const handled = skipped + downloaded + failed
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const itemsLeft = allImages.size - handled
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const speed = handled / runningTime
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const timeLeft = Math.round(itemsLeft * speed)
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try {
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const urls = url.split(/[;,]/)
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const downloadedStatus = await Promise.all(
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urls.map((url) => this.downloadImage(url.trim(), imagePath))
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)
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for (const b of downloadedStatus) {
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if (b) {
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downloaded += 1
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} else {
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skipped += 1
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}
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}
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if (downloadedStatus.some((i) => i) || skipped % 10000 === 0) {
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console.log(
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"Handled",
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url,
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JSON.stringify({
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skipped,
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failed,
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downloaded,
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invalid,
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total: allImages.size,
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eta: timeLeft + "s",
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})
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)
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}
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} catch (e) {
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console.log(e)
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failed++
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}
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}
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}
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analyze(datapath: string) {
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const files = ScriptUtils.readDirRecSync(datapath)
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const byAuthor = new Map<string, string[]>()
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const byLicense = new Map<string, string[]>()
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const licenseByAuthor = new Map<string, Set<string>>()
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for (const file of files) {
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if (!file.endsWith(".json")) {
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continue
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}
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const attr = <LicenseInfo>JSON.parse(fs.readFileSync(file, { encoding: "utf8" }))
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const license = attr.licenseShortName
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if (license === undefined || attr.artist === undefined) {
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continue
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}
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if (byAuthor.get(attr.artist) === undefined) {
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byAuthor.set(attr.artist, [])
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}
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byAuthor.get(attr.artist).push(file)
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if (byLicense.get(license) === undefined) {
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byLicense.set(license, [])
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}
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byLicense.get(license).push(file)
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if (licenseByAuthor.get(license) === undefined) {
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licenseByAuthor.set(license, new Set<string>())
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}
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licenseByAuthor.get(license).add(attr.artist)
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}
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byAuthor.delete(undefined)
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byLicense.delete(undefined)
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licenseByAuthor.delete(undefined)
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const byLicenseCount = Utils.MapToObj(byLicense, (a) => a.length)
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const byAuthorCount = Utils.MapToObj(byAuthor, (a) => a.length)
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const licenseByAuthorCount = Utils.MapToObj(licenseByAuthor, (a) => a.size)
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const countsPerAuthor: number[] = Array.from(Object.keys(byAuthorCount)).map(
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(k) => byAuthorCount[k]
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)
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console.log(countsPerAuthor)
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countsPerAuthor.sort()
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const median = countsPerAuthor[Math.floor(countsPerAuthor.length / 2)]
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for (let i = 0; i < 100; i++) {
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let maxAuthor: string = undefined
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let maxCount = 0
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for (const author in byAuthorCount) {
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const count = byAuthorCount[author]
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if (maxAuthor === undefined || count > maxCount) {
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maxAuthor = author
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maxCount = count
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}
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}
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console.log(
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"|",
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i + 1,
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"|",
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`[${maxAuthor}](https://openstreetmap.org/user/${maxAuthor.replace(/ /g, "%20")})`,
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"|",
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maxCount,
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"|"
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)
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delete byAuthorCount[maxAuthor]
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}
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const totalAuthors = byAuthor.size
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let totalLicensedImages = 0
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for (const license in byLicenseCount) {
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totalLicensedImages += byLicenseCount[license]
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}
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for (const license in byLicenseCount) {
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const total = byLicenseCount[license]
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const authors = licenseByAuthorCount[license]
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console.log(
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`License ${license}: ${total} total pictures (${
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Math.floor((1000 * total) / totalLicensedImages) / 10
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}%), ${authors} authors (${
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Math.floor((1000 * authors) / totalAuthors) / 10
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}%), ${Math.floor(total / authors)} images/author`
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)
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}
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const nonDefaultAuthors = [
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...Array.from(licenseByAuthor.get("CC-BY 4.0").values()),
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...Array.from(licenseByAuthor.get("CC-BY-SA 4.0").values()),
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]
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console.log(
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"Total number of correctly licenses pictures: ",
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totalLicensedImages,
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"(out of ",
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files.length,
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" images)"
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)
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console.log("Total number of authors:", byAuthor.size)
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console.log(
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"Total number of authors which used a valid, non CC0 license at one point in time",
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nonDefaultAuthors.length
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)
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console.log("Median contributions per author:", median)
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}
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async main(args: string[]): Promise<void> {
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console.log("Usage: [--cached] to use the cached osm data")
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console.log("Args are", args)
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const cached = args.indexOf("--cached") < 0
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args = args.filter((a) => a !== "--cached")
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const datapath = args[0] ?? "../../git/MapComplete-data/ImageLicenseInfo"
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await this.downloadData(datapath, cached)
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await this.downloadMetadata(datapath)
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await this.downloadAllImages(datapath, "/home/pietervdvn/data/imgur-image-backup")
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this.analyze(datapath)
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}
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}
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new GenerateImageAnalysis().run()
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