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style: auto-format codebase with Prettier
Applied formatting to 1487+ files using pnpm format:write - TypeScript/JavaScript files - Svelte components - Astro pages - JSON configs - Markdown docs 13 files still need manual review (Astro JSX comments)
This commit is contained in:
Wuesteon
parent
0241f5554c
commit
d36b321d9d
3952 changed files with 661498 additions and 739751 deletions
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@ -12,433 +12,460 @@ const DATA_DIR = './data/seo';
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// Wichtige Keywords zum Tracken
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const TRACKED_KEYWORDS = [
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'meeting protokoll software',
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'ki transkription',
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'automatische protokollierung',
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'gesprächsprotokoll app',
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'meeting dokumentation',
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'spracherkennung meetings',
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'protokoll automatisch erstellen',
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'memoro'
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'meeting protokoll software',
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'ki transkription',
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'automatische protokollierung',
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'gesprächsprotokoll app',
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'meeting dokumentation',
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'spracherkennung meetings',
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'protokoll automatisch erstellen',
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'memoro',
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];
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// Wichtige Seiten zum Tracken
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const TRACKED_PAGES = [
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'/de/meeting-protokoll-software',
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'/de/',
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'/de/features',
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'/de/pricing',
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'/de/blog'
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'/de/meeting-protokoll-software',
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'/de/',
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'/de/features',
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'/de/pricing',
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'/de/blog',
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];
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class SEOTracker {
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constructor() {
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this.auth = null;
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this.searchConsole = null;
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}
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constructor() {
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this.auth = null;
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this.searchConsole = null;
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}
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async initialize() {
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// Auth Setup
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const auth = new google.auth.GoogleAuth({
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keyFile: CREDENTIALS_FILE,
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scopes: ['https://www.googleapis.com/auth/webmasters.readonly'],
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});
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async initialize() {
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// Auth Setup
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const auth = new google.auth.GoogleAuth({
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keyFile: CREDENTIALS_FILE,
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scopes: ['https://www.googleapis.com/auth/webmasters.readonly'],
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});
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this.auth = await auth.getClient();
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this.searchConsole = google.searchconsole({
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version: 'v1',
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auth: this.auth,
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});
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this.auth = await auth.getClient();
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this.searchConsole = google.searchconsole({
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version: 'v1',
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auth: this.auth,
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});
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// Erstelle Data Directory wenn nicht vorhanden
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await fs.mkdir(DATA_DIR, { recursive: true });
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}
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// Erstelle Data Directory wenn nicht vorhanden
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await fs.mkdir(DATA_DIR, { recursive: true });
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}
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// Hole Performance-Daten für Keywords
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async getKeywordPerformance(startDate, endDate) {
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const response = await this.searchConsole.searchanalytics.query({
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siteUrl: SITE_URL,
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requestBody: {
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startDate,
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endDate,
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dimensions: ['query', 'page', 'country', 'device'],
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dimensionFilterGroups: [{
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filters: [{
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dimension: 'query',
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operator: 'contains',
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expression: 'protokoll'
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}]
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}],
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rowLimit: 1000,
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dataState: 'final'
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}
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});
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// Hole Performance-Daten für Keywords
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async getKeywordPerformance(startDate, endDate) {
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const response = await this.searchConsole.searchanalytics.query({
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siteUrl: SITE_URL,
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requestBody: {
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startDate,
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endDate,
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dimensions: ['query', 'page', 'country', 'device'],
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dimensionFilterGroups: [
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{
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filters: [
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{
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dimension: 'query',
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operator: 'contains',
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expression: 'protokoll',
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},
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],
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},
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],
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rowLimit: 1000,
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dataState: 'final',
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},
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});
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return response.data.rows || [];
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}
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return response.data.rows || [];
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}
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// Hole Performance-Daten für spezifische Seiten
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async getPagePerformance(startDate, endDate) {
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const results = [];
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for (const page of TRACKED_PAGES) {
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try {
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const response = await this.searchConsole.searchanalytics.query({
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siteUrl: SITE_URL,
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requestBody: {
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startDate,
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endDate,
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dimensions: ['page', 'query'],
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dimensionFilterGroups: [{
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filters: [{
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dimension: 'page',
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operator: 'equals',
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expression: SITE_URL + page.substring(1)
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}]
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}],
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rowLimit: 100,
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dataState: 'final'
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}
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});
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// Hole Performance-Daten für spezifische Seiten
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async getPagePerformance(startDate, endDate) {
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const results = [];
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if (response.data.rows) {
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results.push({
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page,
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data: response.data.rows,
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totals: {
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clicks: response.data.rows.reduce((sum, row) => sum + row.clicks, 0),
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impressions: response.data.rows.reduce((sum, row) => sum + row.impressions, 0),
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ctr: response.data.rows.reduce((sum, row) => sum + row.ctr, 0) / response.data.rows.length,
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position: response.data.rows.reduce((sum, row) => sum + row.position, 0) / response.data.rows.length
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}
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});
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}
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} catch (error) {
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console.error(`Error fetching data for ${page}:`, error.message);
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}
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}
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for (const page of TRACKED_PAGES) {
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try {
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const response = await this.searchConsole.searchanalytics.query({
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siteUrl: SITE_URL,
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requestBody: {
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startDate,
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endDate,
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dimensions: ['page', 'query'],
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dimensionFilterGroups: [
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{
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filters: [
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{
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dimension: 'page',
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operator: 'equals',
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expression: SITE_URL + page.substring(1),
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},
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],
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},
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],
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rowLimit: 100,
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dataState: 'final',
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},
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});
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return results;
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}
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if (response.data.rows) {
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results.push({
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page,
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data: response.data.rows,
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totals: {
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clicks: response.data.rows.reduce((sum, row) => sum + row.clicks, 0),
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impressions: response.data.rows.reduce((sum, row) => sum + row.impressions, 0),
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ctr:
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response.data.rows.reduce((sum, row) => sum + row.ctr, 0) /
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response.data.rows.length,
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position:
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response.data.rows.reduce((sum, row) => sum + row.position, 0) /
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response.data.rows.length,
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},
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});
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}
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} catch (error) {
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console.error(`Error fetching data for ${page}:`, error.message);
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}
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}
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// Hole Top-Suchanfragen
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async getTopQueries(startDate, endDate, limit = 50) {
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const response = await this.searchConsole.searchanalytics.query({
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siteUrl: SITE_URL,
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requestBody: {
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startDate,
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endDate,
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dimensions: ['query'],
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rowLimit: limit,
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dataState: 'final'
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}
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});
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return results;
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}
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return response.data.rows || [];
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}
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// Hole Top-Suchanfragen
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async getTopQueries(startDate, endDate, limit = 50) {
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const response = await this.searchConsole.searchanalytics.query({
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siteUrl: SITE_URL,
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requestBody: {
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startDate,
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endDate,
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dimensions: ['query'],
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rowLimit: limit,
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dataState: 'final',
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},
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});
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// Speichere Daten als JSON
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async saveData(data, filename) {
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const filepath = path.join(DATA_DIR, filename);
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await fs.writeFile(filepath, JSON.stringify(data, null, 2));
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console.log(`✅ Daten gespeichert: ${filepath}`);
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}
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return response.data.rows || [];
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}
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// Hauptfunktion zum Sammeln aller Daten
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async collectDailyData() {
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const today = new Date();
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const yesterday = new Date(today);
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yesterday.setDate(yesterday.getDate() - 1);
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const startDate = yesterday.toISOString().split('T')[0];
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const endDate = startDate;
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// Speichere Daten als JSON
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async saveData(data, filename) {
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const filepath = path.join(DATA_DIR, filename);
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await fs.writeFile(filepath, JSON.stringify(data, null, 2));
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console.log(`✅ Daten gespeichert: ${filepath}`);
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}
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console.log(`📊 Sammle SEO-Daten für ${startDate}...`);
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// Hauptfunktion zum Sammeln aller Daten
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async collectDailyData() {
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const today = new Date();
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const yesterday = new Date(today);
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yesterday.setDate(yesterday.getDate() - 1);
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try {
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// Sammle verschiedene Metriken
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const [keywordData, pageData, topQueries] = await Promise.all([
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this.getKeywordPerformance(startDate, endDate),
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this.getPagePerformance(startDate, endDate),
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this.getTopQueries(startDate, endDate)
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]);
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const startDate = yesterday.toISOString().split('T')[0];
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const endDate = startDate;
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// Strukturiere Daten für Dashboard
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const dashboardData = {
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date: startDate,
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timestamp: new Date().toISOString(),
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summary: {
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totalClicks: topQueries.reduce((sum, q) => sum + q.clicks, 0),
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totalImpressions: topQueries.reduce((sum, q) => sum + q.impressions, 0),
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avgCTR: topQueries.reduce((sum, q) => sum + q.ctr, 0) / topQueries.length,
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avgPosition: topQueries.reduce((sum, q) => sum + q.position, 0) / topQueries.length
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},
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keywords: this.processKeywordData(keywordData),
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pages: pageData,
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topQueries: topQueries.slice(0, 20),
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trackedKeywords: this.filterTrackedKeywords(keywordData)
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};
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console.log(`📊 Sammle SEO-Daten für ${startDate}...`);
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// Speichere Tages-Snapshot
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await this.saveData(dashboardData, `seo-data-${startDate}.json`);
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try {
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// Sammle verschiedene Metriken
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const [keywordData, pageData, topQueries] = await Promise.all([
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this.getKeywordPerformance(startDate, endDate),
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this.getPagePerformance(startDate, endDate),
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this.getTopQueries(startDate, endDate),
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]);
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// Update aggregierte Daten
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await this.updateAggregatedData(dashboardData);
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// Strukturiere Daten für Dashboard
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const dashboardData = {
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date: startDate,
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timestamp: new Date().toISOString(),
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summary: {
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totalClicks: topQueries.reduce((sum, q) => sum + q.clicks, 0),
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totalImpressions: topQueries.reduce((sum, q) => sum + q.impressions, 0),
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avgCTR: topQueries.reduce((sum, q) => sum + q.ctr, 0) / topQueries.length,
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avgPosition: topQueries.reduce((sum, q) => sum + q.position, 0) / topQueries.length,
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},
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keywords: this.processKeywordData(keywordData),
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pages: pageData,
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topQueries: topQueries.slice(0, 20),
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trackedKeywords: this.filterTrackedKeywords(keywordData),
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};
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return dashboardData;
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} catch (error) {
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console.error('❌ Fehler beim Sammeln der Daten:', error);
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throw error;
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}
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}
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// Speichere Tages-Snapshot
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await this.saveData(dashboardData, `seo-data-${startDate}.json`);
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// Filtere und strukturiere Keyword-Daten
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processKeywordData(data) {
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const keywordMap = {};
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data.forEach(row => {
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const query = row.keys[0];
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if (!keywordMap[query]) {
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keywordMap[query] = {
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query,
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clicks: 0,
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impressions: 0,
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positions: [],
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devices: {},
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pages: new Set()
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};
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}
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keywordMap[query].clicks += row.clicks;
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keywordMap[query].impressions += row.impressions;
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keywordMap[query].positions.push(row.position);
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const device = row.keys[3];
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keywordMap[query].devices[device] = (keywordMap[query].devices[device] || 0) + row.clicks;
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const page = row.keys[1];
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keywordMap[query].pages.add(page);
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});
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// Update aggregierte Daten
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await this.updateAggregatedData(dashboardData);
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// Berechne Durchschnittswerte
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return Object.values(keywordMap).map(kw => ({
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query: kw.query,
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clicks: kw.clicks,
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impressions: kw.impressions,
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ctr: kw.clicks / kw.impressions,
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avgPosition: kw.positions.reduce((a, b) => a + b, 0) / kw.positions.length,
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devices: kw.devices,
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pageCount: kw.pages.size
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})).sort((a, b) => b.clicks - a.clicks);
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}
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return dashboardData;
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} catch (error) {
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console.error('❌ Fehler beim Sammeln der Daten:', error);
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throw error;
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}
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}
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// Filtere tracked Keywords
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filterTrackedKeywords(data) {
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return TRACKED_KEYWORDS.map(keyword => {
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const matches = data.filter(row =>
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row.keys[0].toLowerCase().includes(keyword.toLowerCase())
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);
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if (matches.length === 0) {
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return {
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keyword,
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status: 'not_ranking',
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clicks: 0,
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impressions: 0,
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position: null
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};
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}
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// Filtere und strukturiere Keyword-Daten
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processKeywordData(data) {
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const keywordMap = {};
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const totals = matches.reduce((acc, row) => ({
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clicks: acc.clicks + row.clicks,
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impressions: acc.impressions + row.impressions,
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positions: [...acc.positions, row.position]
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}), { clicks: 0, impressions: 0, positions: [] });
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data.forEach((row) => {
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const query = row.keys[0];
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if (!keywordMap[query]) {
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keywordMap[query] = {
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query,
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clicks: 0,
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impressions: 0,
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positions: [],
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devices: {},
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pages: new Set(),
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};
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}
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return {
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keyword,
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status: 'ranking',
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clicks: totals.clicks,
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impressions: totals.impressions,
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ctr: totals.clicks / totals.impressions,
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position: totals.positions.reduce((a, b) => a + b, 0) / totals.positions.length,
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trend: null // Wird später berechnet
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};
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});
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}
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keywordMap[query].clicks += row.clicks;
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keywordMap[query].impressions += row.impressions;
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keywordMap[query].positions.push(row.position);
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// Update aggregierte Daten für Trends
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async updateAggregatedData(newData) {
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const aggregatedFile = path.join(DATA_DIR, 'aggregated-seo-data.json');
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let aggregated = { history: [], keywords: {} };
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try {
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const existing = await fs.readFile(aggregatedFile, 'utf-8');
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aggregated = JSON.parse(existing);
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} catch (error) {
|
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// File existiert noch nicht
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}
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const device = row.keys[3];
|
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keywordMap[query].devices[device] = (keywordMap[query].devices[device] || 0) + row.clicks;
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// Füge neue Daten zur Historie hinzu
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aggregated.history.push({
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date: newData.date,
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summary: newData.summary,
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topKeywords: newData.keywords.slice(0, 10).map(k => ({
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query: k.query,
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clicks: k.clicks,
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position: k.avgPosition
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}))
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});
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const page = row.keys[1];
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keywordMap[query].pages.add(page);
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});
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// Behalte nur die letzten 90 Tage
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if (aggregated.history.length > 90) {
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aggregated.history = aggregated.history.slice(-90);
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}
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// Berechne Durchschnittswerte
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return Object.values(keywordMap)
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.map((kw) => ({
|
||||
query: kw.query,
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clicks: kw.clicks,
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impressions: kw.impressions,
|
||||
ctr: kw.clicks / kw.impressions,
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avgPosition: kw.positions.reduce((a, b) => a + b, 0) / kw.positions.length,
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devices: kw.devices,
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pageCount: kw.pages.size,
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}))
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.sort((a, b) => b.clicks - a.clicks);
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}
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// Update Keyword-Trends
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newData.trackedKeywords.forEach(kw => {
|
||||
if (!aggregated.keywords[kw.keyword]) {
|
||||
aggregated.keywords[kw.keyword] = [];
|
||||
}
|
||||
|
||||
aggregated.keywords[kw.keyword].push({
|
||||
date: newData.date,
|
||||
position: kw.position,
|
||||
clicks: kw.clicks,
|
||||
impressions: kw.impressions
|
||||
});
|
||||
// Filtere tracked Keywords
|
||||
filterTrackedKeywords(data) {
|
||||
return TRACKED_KEYWORDS.map((keyword) => {
|
||||
const matches = data.filter((row) =>
|
||||
row.keys[0].toLowerCase().includes(keyword.toLowerCase())
|
||||
);
|
||||
|
||||
// Behalte nur die letzten 30 Datenpunkte pro Keyword
|
||||
if (aggregated.keywords[kw.keyword].length > 30) {
|
||||
aggregated.keywords[kw.keyword] = aggregated.keywords[kw.keyword].slice(-30);
|
||||
}
|
||||
});
|
||||
if (matches.length === 0) {
|
||||
return {
|
||||
keyword,
|
||||
status: 'not_ranking',
|
||||
clicks: 0,
|
||||
impressions: 0,
|
||||
position: null,
|
||||
};
|
||||
}
|
||||
|
||||
await this.saveData(aggregated, 'aggregated-seo-data.json');
|
||||
}
|
||||
const totals = matches.reduce(
|
||||
(acc, row) => ({
|
||||
clicks: acc.clicks + row.clicks,
|
||||
impressions: acc.impressions + row.impressions,
|
||||
positions: [...acc.positions, row.position],
|
||||
}),
|
||||
{ clicks: 0, impressions: 0, positions: [] }
|
||||
);
|
||||
|
||||
// Generiere Wochenbericht
|
||||
async generateWeeklyReport() {
|
||||
const endDate = new Date();
|
||||
const startDate = new Date();
|
||||
startDate.setDate(startDate.getDate() - 7);
|
||||
return {
|
||||
keyword,
|
||||
status: 'ranking',
|
||||
clicks: totals.clicks,
|
||||
impressions: totals.impressions,
|
||||
ctr: totals.clicks / totals.impressions,
|
||||
position: totals.positions.reduce((a, b) => a + b, 0) / totals.positions.length,
|
||||
trend: null, // Wird später berechnet
|
||||
};
|
||||
});
|
||||
}
|
||||
|
||||
const start = startDate.toISOString().split('T')[0];
|
||||
const end = endDate.toISOString().split('T')[0];
|
||||
// Update aggregierte Daten für Trends
|
||||
async updateAggregatedData(newData) {
|
||||
const aggregatedFile = path.join(DATA_DIR, 'aggregated-seo-data.json');
|
||||
|
||||
console.log(`📈 Generiere Wochenbericht ${start} bis ${end}...`);
|
||||
let aggregated = { history: [], keywords: {} };
|
||||
|
||||
const [keywordData, pageData, topQueries] = await Promise.all([
|
||||
this.getKeywordPerformance(start, end),
|
||||
this.getPagePerformance(start, end),
|
||||
this.getTopQueries(start, end, 100)
|
||||
]);
|
||||
try {
|
||||
const existing = await fs.readFile(aggregatedFile, 'utf-8');
|
||||
aggregated = JSON.parse(existing);
|
||||
} catch (error) {
|
||||
// File existiert noch nicht
|
||||
}
|
||||
|
||||
const report = {
|
||||
period: { start, end },
|
||||
generated: new Date().toISOString(),
|
||||
summary: {
|
||||
totalClicks: topQueries.reduce((sum, q) => sum + q.clicks, 0),
|
||||
totalImpressions: topQueries.reduce((sum, q) => sum + q.impressions, 0),
|
||||
avgCTR: (topQueries.reduce((sum, q) => sum + q.ctr, 0) / topQueries.length * 100).toFixed(2) + '%',
|
||||
avgPosition: (topQueries.reduce((sum, q) => sum + q.position, 0) / topQueries.length).toFixed(1)
|
||||
},
|
||||
topPerformingQueries: topQueries.slice(0, 20),
|
||||
pagePerformance: pageData,
|
||||
newKeywords: this.findNewKeywords(keywordData),
|
||||
positionChanges: await this.calculatePositionChanges()
|
||||
};
|
||||
// Füge neue Daten zur Historie hinzu
|
||||
aggregated.history.push({
|
||||
date: newData.date,
|
||||
summary: newData.summary,
|
||||
topKeywords: newData.keywords.slice(0, 10).map((k) => ({
|
||||
query: k.query,
|
||||
clicks: k.clicks,
|
||||
position: k.avgPosition,
|
||||
})),
|
||||
});
|
||||
|
||||
await this.saveData(report, `weekly-report-${end}.json`);
|
||||
return report;
|
||||
}
|
||||
// Behalte nur die letzten 90 Tage
|
||||
if (aggregated.history.length > 90) {
|
||||
aggregated.history = aggregated.history.slice(-90);
|
||||
}
|
||||
|
||||
// Finde neue Keywords
|
||||
findNewKeywords(currentData) {
|
||||
// Hier würdest du mit historischen Daten vergleichen
|
||||
return currentData
|
||||
.filter(row => row.impressions > 10 && row.position < 50)
|
||||
.map(row => ({
|
||||
query: row.keys[0],
|
||||
impressions: row.impressions,
|
||||
position: row.position,
|
||||
opportunity: row.position > 10 ? 'high' : 'medium'
|
||||
}))
|
||||
.slice(0, 20);
|
||||
}
|
||||
// Update Keyword-Trends
|
||||
newData.trackedKeywords.forEach((kw) => {
|
||||
if (!aggregated.keywords[kw.keyword]) {
|
||||
aggregated.keywords[kw.keyword] = [];
|
||||
}
|
||||
|
||||
// Berechne Positionsänderungen
|
||||
async calculatePositionChanges() {
|
||||
const aggregatedFile = path.join(DATA_DIR, 'aggregated-seo-data.json');
|
||||
|
||||
try {
|
||||
const data = await fs.readFile(aggregatedFile, 'utf-8');
|
||||
const aggregated = JSON.parse(data);
|
||||
|
||||
return Object.entries(aggregated.keywords).map(([keyword, history]) => {
|
||||
if (history.length < 2) return null;
|
||||
|
||||
const current = history[history.length - 1];
|
||||
const previous = history[history.length - 7] || history[0];
|
||||
|
||||
return {
|
||||
keyword,
|
||||
currentPosition: current.position,
|
||||
previousPosition: previous.position,
|
||||
change: previous.position - current.position,
|
||||
trend: current.position < previous.position ? 'improving' :
|
||||
current.position > previous.position ? 'declining' : 'stable'
|
||||
};
|
||||
}).filter(Boolean);
|
||||
} catch (error) {
|
||||
return [];
|
||||
}
|
||||
}
|
||||
aggregated.keywords[kw.keyword].push({
|
||||
date: newData.date,
|
||||
position: kw.position,
|
||||
clicks: kw.clicks,
|
||||
impressions: kw.impressions,
|
||||
});
|
||||
|
||||
// Behalte nur die letzten 30 Datenpunkte pro Keyword
|
||||
if (aggregated.keywords[kw.keyword].length > 30) {
|
||||
aggregated.keywords[kw.keyword] = aggregated.keywords[kw.keyword].slice(-30);
|
||||
}
|
||||
});
|
||||
|
||||
await this.saveData(aggregated, 'aggregated-seo-data.json');
|
||||
}
|
||||
|
||||
// Generiere Wochenbericht
|
||||
async generateWeeklyReport() {
|
||||
const endDate = new Date();
|
||||
const startDate = new Date();
|
||||
startDate.setDate(startDate.getDate() - 7);
|
||||
|
||||
const start = startDate.toISOString().split('T')[0];
|
||||
const end = endDate.toISOString().split('T')[0];
|
||||
|
||||
console.log(`📈 Generiere Wochenbericht ${start} bis ${end}...`);
|
||||
|
||||
const [keywordData, pageData, topQueries] = await Promise.all([
|
||||
this.getKeywordPerformance(start, end),
|
||||
this.getPagePerformance(start, end),
|
||||
this.getTopQueries(start, end, 100),
|
||||
]);
|
||||
|
||||
const report = {
|
||||
period: { start, end },
|
||||
generated: new Date().toISOString(),
|
||||
summary: {
|
||||
totalClicks: topQueries.reduce((sum, q) => sum + q.clicks, 0),
|
||||
totalImpressions: topQueries.reduce((sum, q) => sum + q.impressions, 0),
|
||||
avgCTR:
|
||||
((topQueries.reduce((sum, q) => sum + q.ctr, 0) / topQueries.length) * 100).toFixed(2) +
|
||||
'%',
|
||||
avgPosition: (
|
||||
topQueries.reduce((sum, q) => sum + q.position, 0) / topQueries.length
|
||||
).toFixed(1),
|
||||
},
|
||||
topPerformingQueries: topQueries.slice(0, 20),
|
||||
pagePerformance: pageData,
|
||||
newKeywords: this.findNewKeywords(keywordData),
|
||||
positionChanges: await this.calculatePositionChanges(),
|
||||
};
|
||||
|
||||
await this.saveData(report, `weekly-report-${end}.json`);
|
||||
return report;
|
||||
}
|
||||
|
||||
// Finde neue Keywords
|
||||
findNewKeywords(currentData) {
|
||||
// Hier würdest du mit historischen Daten vergleichen
|
||||
return currentData
|
||||
.filter((row) => row.impressions > 10 && row.position < 50)
|
||||
.map((row) => ({
|
||||
query: row.keys[0],
|
||||
impressions: row.impressions,
|
||||
position: row.position,
|
||||
opportunity: row.position > 10 ? 'high' : 'medium',
|
||||
}))
|
||||
.slice(0, 20);
|
||||
}
|
||||
|
||||
// Berechne Positionsänderungen
|
||||
async calculatePositionChanges() {
|
||||
const aggregatedFile = path.join(DATA_DIR, 'aggregated-seo-data.json');
|
||||
|
||||
try {
|
||||
const data = await fs.readFile(aggregatedFile, 'utf-8');
|
||||
const aggregated = JSON.parse(data);
|
||||
|
||||
return Object.entries(aggregated.keywords)
|
||||
.map(([keyword, history]) => {
|
||||
if (history.length < 2) return null;
|
||||
|
||||
const current = history[history.length - 1];
|
||||
const previous = history[history.length - 7] || history[0];
|
||||
|
||||
return {
|
||||
keyword,
|
||||
currentPosition: current.position,
|
||||
previousPosition: previous.position,
|
||||
change: previous.position - current.position,
|
||||
trend:
|
||||
current.position < previous.position
|
||||
? 'improving'
|
||||
: current.position > previous.position
|
||||
? 'declining'
|
||||
: 'stable',
|
||||
};
|
||||
})
|
||||
.filter(Boolean);
|
||||
} catch (error) {
|
||||
return [];
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// CLI Interface
|
||||
async function main() {
|
||||
const tracker = new SEOTracker();
|
||||
await tracker.initialize();
|
||||
const tracker = new SEOTracker();
|
||||
await tracker.initialize();
|
||||
|
||||
const command = process.argv[2];
|
||||
const command = process.argv[2];
|
||||
|
||||
switch (command) {
|
||||
case 'daily':
|
||||
await tracker.collectDailyData();
|
||||
break;
|
||||
|
||||
case 'weekly':
|
||||
await tracker.generateWeeklyReport();
|
||||
break;
|
||||
|
||||
case 'test':
|
||||
// Test mit den letzten 7 Tagen
|
||||
const endDate = new Date().toISOString().split('T')[0];
|
||||
const startDate = new Date();
|
||||
startDate.setDate(startDate.getDate() - 7);
|
||||
const start = startDate.toISOString().split('T')[0];
|
||||
|
||||
console.log(`Test: Hole Daten von ${start} bis ${endDate}`);
|
||||
const data = await tracker.getTopQueries(start, endDate, 10);
|
||||
console.log('Top Queries:', data);
|
||||
break;
|
||||
|
||||
default:
|
||||
console.log(`
|
||||
switch (command) {
|
||||
case 'daily':
|
||||
await tracker.collectDailyData();
|
||||
break;
|
||||
|
||||
case 'weekly':
|
||||
await tracker.generateWeeklyReport();
|
||||
break;
|
||||
|
||||
case 'test':
|
||||
// Test mit den letzten 7 Tagen
|
||||
const endDate = new Date().toISOString().split('T')[0];
|
||||
const startDate = new Date();
|
||||
startDate.setDate(startDate.getDate() - 7);
|
||||
const start = startDate.toISOString().split('T')[0];
|
||||
|
||||
console.log(`Test: Hole Daten von ${start} bis ${endDate}`);
|
||||
const data = await tracker.getTopQueries(start, endDate, 10);
|
||||
console.log('Top Queries:', data);
|
||||
break;
|
||||
|
||||
default:
|
||||
console.log(`
|
||||
SEO Tracker - Verwendung:
|
||||
|
||||
node seo-tracker.js daily - Sammle tägliche Daten
|
||||
node seo-tracker.js weekly - Generiere Wochenbericht
|
||||
node seo-tracker.js test - Teste API-Verbindung
|
||||
`);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Führe aus wenn direkt aufgerufen
|
||||
if (require.main === module) {
|
||||
main().catch(console.error);
|
||||
main().catch(console.error);
|
||||
}
|
||||
|
||||
module.exports = SEOTracker;
|
||||
module.exports = SEOTracker;
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue