235 lines
7.7 KiB
JavaScript
235 lines
7.7 KiB
JavaScript
const token = "FFCH7nhjGM6ey6VF8wtPkFJQ_Vn65DvozpIStEER";
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const websites = [
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{
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zoneId: "3ace6ae0587033b37c79e168cf60c234",
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domain: "yuuk1.tk",
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color: [255, 182, 193],
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},
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{
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zoneId: "068e85c0bc67ef053660c7d2ceca7b89",
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domain: "yuuk1.uk",
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color: [173, 216, 230],
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},
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{
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zoneId: "176677a44c89b3aa8ab0a33f2d7108c3",
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domain: "taikoapp.uk",
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color: [152, 255, 152],
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},
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{
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zoneId: "9d4b398a23e094448b287b84947f58ff",
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domain: "forgejo.win",
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color: [255, 160, 122],
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},
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{
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zoneId: "09990364a38b739e3de9338f908d584f",
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domain: "litey.trade",
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color: [255, 215, 0],
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},
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];
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async function worker(item) {
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const res = await fetch(`/api/cloudflare?zone_id=${encodeURIComponent(item.zoneId)}`, {
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headers: {
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"X-Token": token,
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},
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});
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const json = await res.json();
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return {
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domain: item.domain,
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fg: `rgb(${item.color[0]}, ${item.color[1]}, ${item.color[2]})`,
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bg: `rgba(${item.color[0]}, ${item.color[1]}, ${item.color[2]}, 0.2)`,
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json,
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};
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}
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async function worker2(item) {
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const res = await fetch(`/api/cloudflare2?zone_id=${encodeURIComponent(item.zoneId)}`, {
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headers: {
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"X-Token": token,
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},
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});
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const json = await res.json();
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return {
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domain: item.domain,
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fg: `rgb(${item.color[0]}, ${item.color[1]}, ${item.color[2]})`,
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bg: `rgba(${item.color[0]}, ${item.color[1]}, ${item.color[2]}, 0.2)`,
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json,
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};
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}
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function createChart(ctx, labels, datasets, title) {
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new Chart(ctx, {
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data: {
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labels,
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datasets,
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},
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options: {
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plugins: {
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title: {
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display: true,
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text: title,
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},
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legend: {
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labels: {
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usePointStyle: true,
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},
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},
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},
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scales: {
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y: {
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beginAtZero: true,
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},
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},
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},
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});
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}
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addEventListener("load", () => {
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Promise.all(websites.map((i) => worker(i)))
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.then((results) => {
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document.querySelector("#loading").remove();
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const scale = Math.max(...results.map((r) => r.json["data"]["viewer"]["zones"][0]["zones"].length));
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const endedAt = Math.max(...results.map((r) => r.json["data"]["viewer"]["zones"][0]["zones"].map((g) => new Date(g["dimensions"]["timeslot"]).getTime())).flat());
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const range = Array.from({ length: scale }, (_, k) => new Date(endedAt - k * 24 * 60 * 60 * 1000));
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const ctxUsers = document.querySelector("#users").getContext("2d");
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createChart(
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ctxUsers,
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range.map((d) => d.toISOString().slice(0, 10)).reverse(),
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results.map((r) => {
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const total = Intl.NumberFormat('en-US', {
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notation: "compact",
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maximumFractionDigits: 1,
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}).format(r.json["data"]["viewer"]["zones"][0]["totals"][0]["uniq"]["uniques"]);
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return {
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type: "line",
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label: r.domain + " - (" + total + ")",
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data: range.map((d) => r.json["data"]["viewer"]["zones"][0]["zones"].find((g) => g["dimensions"]["timeslot"] === d.toISOString().slice(0, 10))?.["uniq"]?.["uniques"] ?? null).reverse(),
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borderColor: r.fg,
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borderWidth: 1,
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fill: "origin",
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backgroundColor: r.bg,
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pointStyle: "star",
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};
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}),
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"過去30日のユーザー数の推移",
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);
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const ctxBytes = document.querySelector("#bytes").getContext("2d");
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createChart(
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ctxBytes,
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range.map((d) => d.toISOString().slice(0, 10)).reverse(),
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results.map((r) => {
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return {
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type: "line",
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label: r.domain,
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data: range.map((d) => r.json["data"]["viewer"]["zones"][0]["zones"].find((g) => g["dimensions"]["timeslot"] === d.toISOString().slice(0, 10))?.["sum"]?.["bytes"] / 1000 ** 3 ?? null).reverse(),
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borderColor: r.fg,
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borderWidth: 1,
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fill: "origin",
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backgroundColor: r.bg,
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pointStyle: "star",
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};
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}),
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"過去30日の送受信データ量(GB)の推移",
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);
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const ctxBytes2 = document.querySelector("#bytes2").getContext("2d");
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createChart(
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ctxBytes2,
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range.map((d) => d.toISOString().slice(0, 10)).reverse(),
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results.map((r) => {
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return {
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type: "line",
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label: r.domain,
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data: range.map((d) => r.json["data"]["viewer"]["zones"][0]["zones"].find((g) => g["dimensions"]["timeslot"] === d.toISOString().slice(0, 10))?.["sum"]?.["cachedBytes"] / 1000 ** 3 ?? null).reverse(),
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borderColor: r.fg,
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borderWidth: 1,
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fill: "origin",
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backgroundColor: r.bg,
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pointStyle: "star",
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};
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}),
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"過去30日のキャッシュ済み送受信データ量(GB)の推移",
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);
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});
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Promise.all(websites.map((i) => worker2(i)))
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.then((results) => {
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document.querySelector("#loading-2").remove();
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const scale = Math.max(...results.map((r) => r.json["data"]["viewer"]["zones"][0]["zones"].length));
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const endedAt = Math.max(...results.map((r) => r.json["data"]["viewer"]["zones"][0]["zones"].map((g) => new Date(g["dimensions"]["timeslot"]).getTime())).flat());
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const range = Array.from({ length: scale }, (_, k) => new Date(endedAt - k * 60 * 60 * 1000));
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const ctxUsers = document.querySelector("#users-2").getContext("2d");
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createChart(
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ctxUsers,
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range.map((d) => d.toLocaleString()).reverse(),
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results.map((r) => {
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const total = Intl.NumberFormat('en-US', {
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notation: "compact",
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maximumFractionDigits: 1,
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}).format(r.json["data"]["viewer"]["zones"][0]["totals"][0]["uniq"]["uniques"]);
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return {
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type: "line",
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label: r.domain + " - (" + total + ")",
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data: range.map((d) => r.json["data"]["viewer"]["zones"][0]["zones"].find((g) => g["dimensions"]["timeslot"] === d.toISOString().slice(0, 19) + "Z")?.["uniq"]?.["uniques"] ?? null).reverse(),
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borderColor: r.fg,
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borderWidth: 1,
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fill: "origin",
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backgroundColor: r.bg,
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pointStyle: "star",
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};
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}),
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"過去72時間のユーザー数の推移",
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)
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const ctxBytes = document.querySelector("#bytes-2").getContext("2d");
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createChart(
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ctxBytes,
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range.map((d) => d.toLocaleString()).reverse(),
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results.map((r) => {
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return {
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type: "line",
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label: r.domain,
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data: range.map((d) => r.json["data"]["viewer"]["zones"][0]["zones"].find((g) => g["dimensions"]["timeslot"] === d.toISOString().slice(0, 19) + "Z")?.["sum"]?.["bytes"] / 1000 ** 3 ?? null).reverse(),
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borderColor: r.fg,
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borderWidth: 1,
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fill: "origin",
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backgroundColor: r.bg,
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pointStyle: "star",
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};
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}),
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"過去72時間の送受信データ量(GB)の推移",
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)
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const ctxBytes2 = document.querySelector("#bytes2-2").getContext("2d");
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createChart(
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ctxBytes2,
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range.map((d) => d.toLocaleString()).reverse(),
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results.map((r) => {
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return {
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type: "line",
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label: r.domain,
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data: range.map((d) => r.json["data"]["viewer"]["zones"][0]["zones"].find((g) => g["dimensions"]["timeslot"] === d.toISOString().slice(0, 19) + "Z")?.["sum"]?.["cachedBytes"] / 1000 ** 3 ?? null).reverse(),
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borderColor: r.fg,
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borderWidth: 1,
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fill: "origin",
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backgroundColor: r.bg,
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pointStyle: "star",
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};
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}),
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"過去72時間のキャッシュ済み送受信データ量(GB)の推移",
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);
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});
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});
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