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price-scra
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3656951259 |
@@ -52,6 +52,10 @@ jobs:
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docker run --network changedet-network -d -e "LOG_LEVEL=TRACE" --cap-add=SYS_ADMIN --name sockpuppetbrowser --hostname sockpuppetbrowser --rm -p 3000:3000 dgtlmoon/sockpuppetbrowser:latest
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docker run --network changedet-network -d -e "LOG_LEVEL=TRACE" --cap-add=SYS_ADMIN --name sockpuppetbrowser-custom-url --hostname sockpuppetbrowser-custom-url -p 3001:3000 --rm dgtlmoon/sockpuppetbrowser:latest
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# CDIO AI Element scraper for prices
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# Run CDIO with PRICE_SCRAPER_ML_ENDPOINT=http://cdio-ai-price-element:5005/price-element
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docker run --network changedet-network -d -e "LOG_LEVEL=TRACE" --name cdio-ai-price-element --hostname cdio-ai-price-element -p 5005:5005 --rm dgtlmoon/changedetection.io-ai:latest
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- name: Spin up ancillary SMTP+Echo message test server
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run: |
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# Debug SMTP server/echo message back server
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@@ -95,6 +99,11 @@ jobs:
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# Settings headers playwright tests - Call back in from Sockpuppetbrowser, check headers
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docker run --name "changedet" --hostname changedet --rm -e "FLASK_SERVER_NAME=changedet" -e "PLAYWRIGHT_DRIVER_URL=ws://sockpuppetbrowser:3000?dumpio=true" --network changedet-network test-changedetectionio bash -c 'find .; cd changedetectionio; pytest --live-server-host=0.0.0.0 --live-server-port=5004 tests/test_request.py; pwd;find .'
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# PLAYWRIGHT/NODE-> CDP
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- name: ML/AI Price element scraper via Playwright+dgtlmoon/changedetection.io-ai
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run: |
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docker run --rm -e "FLASK_SERVER_NAME=cdio" -e "PLAYWRIGHT_DRIVER_URL=ws://sockpuppetbrowser:3000" -e "PRICE_SCRAPER_ML_ENDPOINT=ws://cdio-ai-price-element:5005/price-element" --network changedet-network --hostname=cdio test-changedetectionio bash -c 'cd changedetectionio;pytest --live-server-host=0.0.0.0 --live-server-port=5004 tests/ml_price_scraper/test_scrape_price_element.py'
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- name: Playwright and SocketPuppetBrowser - Restock detection
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run: |
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# restock detection via playwright - added name=changedet here so that playwright and sockpuppetbrowser can connect to it
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@@ -4,7 +4,7 @@ from loguru import logger
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from changedetectionio.content_fetchers.exceptions import BrowserStepsStepException
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import os
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visualselector_xpath_selectors = 'div,span,form,table,tbody,tr,td,a,p,ul,li,h1,h2,h3,h4,header,footer,section,article,aside,details,main,nav,section,summary'
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visualselector_xpath_selectors = 'div,span,form,table,tbody,tr,td,a,p,ul,li,h1,h2,h3,h4,header,footer,section,article,aside,details,main,nav,section,summary,bdi,strong'
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# available_fetchers() will scan this implementation looking for anything starting with html_
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# this information is used in the form selections
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@@ -15,6 +15,7 @@ try {
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console.log(e);
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}
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const percentageNumerical = str => Math.round((str.match(/\d/g) || []).length / str.length * 100);
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// Include the getXpath script directly, easier than fetching
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function getxpath(e) {
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@@ -77,6 +78,30 @@ const findUpTag = (el) => {
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}
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return null;
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}
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// Text width scraper for ML training/detection
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// Create a single canvas and get its 2D context
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const canvas = document.createElement("canvas");
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const context = canvas.getContext("2d");
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// Function to get the width and height of the text inside an element and round them to the nearest integer
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function getTextWidthAndHeightinPx(element) {
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// Set the font to match the style of the text in the element
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context.font = window.getComputedStyle(element).font;
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// Get the text inside the element
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const text = element.textContent || element.innerText;
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// Measure the text width
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const metrics = context.measureText(text);
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const width = Math.round(metrics.width);
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// Get the font size from the computed style
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const fontSize = parseFloat(window.getComputedStyle(element).fontSize);
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const height = Math.round(fontSize); // Using font size as an approximation of height
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// Return both width and height as an object
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return { textWidth: width, textHeight: height };
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}
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// @todo - if it's SVG or IMG, go into image diff mode
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@@ -122,8 +147,10 @@ const visibleElementsArray = [];
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// Call collectVisibleElements with the starting parent element
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collectVisibleElements(document.body, visibleElementsArray);
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// Append any custom selectors to the visibleElementsArray
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visibleElementsArray.forEach(function (element) {
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function get_element_metadata(element) {
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bbox = element.getBoundingClientRect();
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@@ -164,17 +191,37 @@ visibleElementsArray.forEach(function (element) {
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}
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}
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let label = "not-interesting" // A placeholder, the actual labels for training are done by hand for now
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let label = "none" // A placeholder, the actual labels for training are done by hand for now
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let text = element.textContent.trim().slice(0, 30).trim();
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while (/\n{2,}|\t{2,}/.test(text)) {
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text = text.replace(/\n{2,}/g, '\n').replace(/\t{2,}/g, '\t')
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}
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// Check if the element was found and get its text , not including any child element
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let text = Array.from(element.childNodes)
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.filter(node => node.nodeType === Node.TEXT_NODE)
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.map(node => node.textContent)
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.join('');
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// Remove any gaps in sequences of newlines and tabs inside the string
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text = text.trim().replace(/[\s\t\n\r]{2,}/g, ' ').trim();
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// Try to identify any possible currency amounts "Sale: 4000" or "Sale now 3000 Kc", can help with the training.
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const hasDigitCurrency = (/\d/.test(text.slice(0, 6)) || /\d/.test(text.slice(-6)) ) && /([€£$¥₩₹]|USD|AUD|EUR|Kč|kr|SEK|,–)/.test(text) ;
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// @todo could be instead of USD/AUD etc [A-Z]{2,3} ?
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//const hasDigitCurrency = (/\d/.test(text.slice(0, 6)) || /\d/.test(text.slice(-6)) ) && /([€£$¥₩₹]|USD|AUD|EUR|Kč|kr|SEK|RM|,–)/.test(text) ;
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const hasDigitCurrency = (/\d/.test(text.slice(0, 6)) || /\d/.test(text.slice(-6)) ) && /([€£$¥₩₹]|USD|AUD|EUR|Kč|kr|SEK|RM|,–)/.test(text) ;
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const hasDigit = /[0-9]/.test(text) ;
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size_pos.push({
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// Sizing of the actual text inside the element can be very different from the elements size
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const { textWidth, textHeight } = getTextWidthAndHeightinPx(element);
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const computedStyle = window.getComputedStyle(element);
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let red, green, blue;
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if (text.length) {
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// Extract the RGB values from the color string (format: rgb(r, g, b))
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[red, green, blue] = computedStyle.color.match(/\d+/g).map(Number);
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} else {
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// Assign default values if text is empty
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[red, green, blue] = [0, 0, 0];
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}
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return {
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xpath: xpath_result,
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width: Math.round(bbox['width']),
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height: Math.round(bbox['height']),
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@@ -185,13 +232,27 @@ visibleElementsArray.forEach(function (element) {
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// tagtype used by Browser Steps
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tagtype: (element.tagName.toLowerCase() === 'input' && element.type) ? element.type.toLowerCase() : '',
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isClickable: window.getComputedStyle(element).cursor === "pointer",
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// Used by the keras trainer
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// Used by the keras/pytorch trainer
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fontSize: window.getComputedStyle(element).getPropertyValue('font-size'),
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fontWeight: window.getComputedStyle(element).getPropertyValue('font-weight'),
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pcNumerical: text.length && percentageNumerical(text),
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hasDigit: hasDigit,
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hasDigitCurrency: hasDigitCurrency,
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textWidth: textWidth,
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textHeight: textHeight,
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textLength: text.length,
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t_r: red,
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t_g: green,
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t_b: blue,
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label: label,
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});
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};
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}
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visibleElementsArray.forEach(function (element) {
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let metadata = get_element_metadata(element);
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if(metadata) {
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size_pos.push(metadata);
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}
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});
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@@ -200,7 +261,19 @@ visibleElementsArray.forEach(function (element) {
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if (include_filters.length) {
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let results;
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// Foreach filter, go and find it on the page and add it to the results so we can visualise it again
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outerLoop:
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for (const f of include_filters) {
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// Quick check so we dont end up with duplicates in the training data
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for (let index = 0; index < size_pos.length; index++) {
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let item = size_pos[index];
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if (item.xpath === f) {
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item.highlight_as_custom_filter = true;
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item.found_as_duplicate = true;
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item.label = "price";
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continue outerLoop;
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}
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}
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bbox = false;
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q = false;
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@@ -221,7 +294,6 @@ if (include_filters.length) {
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}
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} else {
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console.log("[css] Scanning for included filter " + f)
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console.log("[css] Scanning for included filter " + f);
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results = document.querySelectorAll(f);
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}
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} catch (e) {
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@@ -258,17 +330,15 @@ if (include_filters.length) {
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console.log("xpath_element_scraper: error looking up q.ownerElement")
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}
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}
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if (bbox && bbox['width'] > 0 && bbox['height'] > 0) {
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size_pos.push({
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xpath: f,
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width: parseInt(bbox['width']),
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height: parseInt(bbox['height']),
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left: parseInt(bbox['left']),
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top: parseInt(bbox['top']) + scroll_y,
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highlight_as_custom_filter: true
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});
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element_info = get_element_metadata(node);
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if(element_info) {
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// Be sure we use exactly what was written
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element_info['xpath'] = f;
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element_info['highlight_as_custom_filter'] = true;
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element_info['label'] = "price";
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size_pos.push(element_info);
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}
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});
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}
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}
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@@ -792,9 +792,9 @@ def changedetection_app(config=None, datastore_o=None):
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# Re #286 - We wait for syncing new data to disk in another thread every 60 seconds
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# But in the case something is added we should save straight away
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datastore.needs_write_urgent = True
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# Queue the watch for immediate recheck, with a higher priority
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update_q.put(queuedWatchMetaData.PrioritizedItem(priority=1, item={'uuid': uuid, 'skip_when_checksum_same': False}))
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if not datastore.data['watching'][uuid].get('paused'):
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# Queue the watch for immediate recheck, with a higher priority
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update_q.put(queuedWatchMetaData.PrioritizedItem(priority=1, item={'uuid': uuid, 'skip_when_checksum_same': False}))
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# Diff page [edit] link should go back to diff page
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if request.args.get("next") and request.args.get("next") == 'diff':
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@@ -1602,6 +1602,15 @@ def changedetection_app(config=None, datastore_o=None):
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flash(f"{len(uuids)} watches were tagged")
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elif op.startswith('mode:'):
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mode = op.replace('mode:','')
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for uuid in uuids:
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uuid = uuid.strip()
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if datastore.data['watching'].get(uuid):
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datastore.data['watching'][uuid]['processor'] = mode
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flash(f"{len(uuids)} watches changed modes")
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return redirect(url_for('index'))
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@app.route("/api/share-url", methods=['GET'])
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@@ -518,7 +518,7 @@ class model(watch_base):
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self.ensure_data_dir_exists()
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with open(target_path, 'w') as f:
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f.write(json.dumps(data))
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f.write(json.dumps(data, indent=2))
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f.close()
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# Save as PNG, PNG is larger but better for doing visual diff in the future
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@@ -3,10 +3,13 @@ from ..exceptions import ProcessorException
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from . import Restock
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from loguru import logger
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import hashlib
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import os
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import re
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import urllib3
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import time
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from ...html_tools import html_to_text
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urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
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name = 'Re-stock & Price detection for single product pages'
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description = 'Detects if the product goes back to in-stock'
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@@ -34,6 +37,7 @@ def get_itemprop_availability(html_content) -> Restock:
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Kind of funny/cool way to find price/availability in one many different possibilities.
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Use 'extruct' to find any possible RDFa/microdata/json-ld data, make a JSON string from the output then search it.
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"""
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from jsonpath_ng import parse
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now = time.time()
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@@ -54,6 +58,7 @@ def get_itemprop_availability(html_content) -> Restock:
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# First phase, dead simple scanning of anything that looks useful
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value = Restock()
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return value
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if data:
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logger.debug(f"Using jsonpath to find price/availability/etc")
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price_parse = parse('$..(price|Price)')
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@@ -121,6 +126,52 @@ class perform_site_check(difference_detection_processor):
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screenshot = None
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xpath_data = None
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def ML_scrape_for_price_data(self, ML_price_scraper_url):
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import requests
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from changedetectionio import html_tools
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price_info = None
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# Perform the POST request
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response = requests.post(ML_price_scraper_url, json=self.fetcher.xpath_data)
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logger.debug(f"ML Price scraper - {ML_price_scraper_url} Response OK? - '{response.ok}'")
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# Check if the response contains a dict
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if response.ok: # This checks if the request was successful (status code 200-299)
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response_json = response.json()
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logger.debug(f"ML Price scraper: response - {response_json}'")
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if isinstance(response_json, dict) and 'idx' in response_json.keys():
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suggested_xpath_idx = response_json.get('idx')
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if response_json.get('score') <0.80 or response_json.get('score') > 1.0:
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logger.warning(f"Predict score was outside normal range, aborting ML/AI price check, needs better training data in this case?")
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return None
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# Use the path provided to extra the price text
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from price_parser import Price
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scrape_element = self.fetcher.xpath_data.get('size_pos', {})[suggested_xpath_idx]
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logger.debug(f"Predicted selector with price information is {scrape_element['xpath']}")
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result_s = None
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if scrape_element['xpath'][0] == '/' or scrape_element['xpath'].startswith('xpath'):
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result_s = html_tools.xpath_filter(xpath_filter=scrape_element['xpath'],
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html_content=self.fetcher.content)
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else:
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# CSS Filter, extract the HTML that matches and feed that into the existing inscriptis::get_text
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result_s = html_tools.include_filters(include_filters=scrape_element['xpath'],
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html_content=self.fetcher.content)
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if result_s:
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text = html_to_text(result_s)
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logger.debug(f"Guessed the text '{text}' as the price information")
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if text:
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price_info = Price.fromstring(text)
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else:
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logger.error(f"ML Price scraper: missing xpath index (IDX) in response?")
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else:
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print(f"ML Price scraper: Request failed with status code: {response.status_code}")
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#@TODO THROW HELPFUL MESSAGE WITH LINK TO TUTORIAL IF IT CANT CONNECT!
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return price_info
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|
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def run_changedetection(self, watch, skip_when_checksum_same=True):
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if not watch:
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raise Exception("Watch no longer exists.")
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@@ -177,6 +228,21 @@ class perform_site_check(difference_detection_processor):
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else:
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update_obj['restock']['in_stock'] = False
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|
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# Attempt to pass the elements off to the machine-learning endpoint if its enabled
|
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# This might return a confident guess as to which element contains the price data
|
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if not itemprop_availability.get('price'):
|
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ML_price_scraper_url = os.getenv("PRICE_SCRAPER_ML_ENDPOINT")
|
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if self.fetcher.xpath_data and ML_price_scraper_url:
|
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price_info = self.ML_scrape_for_price_data(ML_price_scraper_url)
|
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if price_info and price_info.amount:
|
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logger.success(f"ML Price scraper: Got price data {price_info}")
|
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itemprop_availability['price'] = f"{price_info.amount}"
|
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update_obj['restock']['price'] = f"{price_info.amount}"
|
||||
if price_info and price_info.currency:
|
||||
itemprop_availability['currency'] = price_info.currency
|
||||
update_obj['restock']['currency'] = price_info.currency
|
||||
|
||||
|
||||
# Main detection method
|
||||
fetched_md5 = None
|
||||
|
||||
|
||||
@@ -37,6 +37,8 @@
|
||||
<button class="pure-button button-secondary button-xsmall" name="op" value="assign-tag" id="checkbox-assign-tag">Tag</button>
|
||||
<button class="pure-button button-secondary button-xsmall" name="op" value="mark-viewed">Mark viewed</button>
|
||||
<button class="pure-button button-secondary button-xsmall" name="op" value="notification-default">Use default notification</button>
|
||||
<button class="pure-button button-secondary button-xsmall" name="op" value="mode:text_json_diff">Mode: Page changes</button>
|
||||
<button class="pure-button button-secondary button-xsmall" name="op" value="mode:restock_diff">Mode: Price/Restock</button>
|
||||
<button class="pure-button button-secondary button-xsmall" name="op" value="clear-errors">Clear errors</button>
|
||||
<button class="pure-button button-secondary button-xsmall" style="background: #dd4242;" name="op" value="clear-history">Clear/reset history</button>
|
||||
<button class="pure-button button-secondary button-xsmall" style="background: #dd4242;" name="op" value="delete">Delete</button>
|
||||
|
||||
@@ -8,7 +8,7 @@ from changedetectionio import changedetection_app
|
||||
from changedetectionio import store
|
||||
import os
|
||||
import sys
|
||||
from loguru import logger
|
||||
|
||||
|
||||
# https://github.com/pallets/flask/blob/1.1.2/examples/tutorial/tests/test_auth.py
|
||||
# Much better boilerplate than the docs
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
#!/usr/bin/env python3
|
||||
|
||||
import time
|
||||
from flask import url_for
|
||||
from ..util import live_server_setup, wait_for_all_checks
|
||||
import logging
|
||||
|
||||
@@ -0,0 +1,127 @@
|
||||
import os
|
||||
|
||||
from flask import url_for
|
||||
from changedetectionio.tests.util import set_original_response, set_modified_response, set_more_modified_response, live_server_setup, \
|
||||
wait_for_all_checks, \
|
||||
set_longer_modified_response
|
||||
|
||||
import time
|
||||
|
||||
# No semantic data just some text, we should be able to find the product price.
|
||||
def set_response(price="121.95"):
|
||||
html_content = f"""
|
||||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<title>Ajax Widget</title>
|
||||
<style>
|
||||
body {{
|
||||
font-family: Arial, sans-serif;
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
align-items: center;
|
||||
height: 100vh;
|
||||
background-color: #f4f4f4;
|
||||
}}
|
||||
.container {{
|
||||
display: flex;
|
||||
flex-direction: row;
|
||||
background-color: #fff;
|
||||
border: 1px solid #ddd;
|
||||
padding: 20px;
|
||||
border-radius: 5px;
|
||||
box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
|
||||
width: 80%;
|
||||
max-width: 800px;
|
||||
}}
|
||||
.description {{
|
||||
flex: 2;
|
||||
margin-right: 20px;
|
||||
}}
|
||||
.description h1 {{
|
||||
margin-top: 0;
|
||||
}}
|
||||
.price {{
|
||||
flex: 1;
|
||||
text-align: right;
|
||||
font-size: 24px;
|
||||
color: #333;
|
||||
}}
|
||||
.price span {{
|
||||
font-size: 32px;
|
||||
font-weight: bold;
|
||||
}}
|
||||
.buy-button {{
|
||||
display: inline-block;
|
||||
margin-top: 20px;
|
||||
padding: 10px 20px;
|
||||
background-color: #28a745;
|
||||
color: #fff;
|
||||
text-decoration: none;
|
||||
border-radius: 5px;
|
||||
font-size: 16px;
|
||||
}}
|
||||
.buy-button:hover {{
|
||||
background-color: #218838;
|
||||
}}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
<div class="container">
|
||||
<div class="description">
|
||||
<h1>Ajax Widget</h1>
|
||||
<p>The Ajax Widget is the ultimate solution for all your widget needs. Crafted with precision and using the latest technology, this widget offers unmatched performance and durability. Whether you're using it for personal or professional purposes, the Ajax Widget will not disappoint. It's easy to use, reliable, and comes with a sleek design that complements any setup. Don't settle for less; get the best with the Ajax Widget today!</p>
|
||||
</div>
|
||||
<div class="price">
|
||||
<span>${price}</span>
|
||||
<br>
|
||||
<a href="#" class="buy-button">Buy Now</a><br>
|
||||
IN STOCK
|
||||
</div>
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
"""
|
||||
|
||||
with open("test-datastore/endpoint-content.txt", "w") as f:
|
||||
f.write(html_content)
|
||||
time.sleep(1)
|
||||
return None
|
||||
|
||||
|
||||
|
||||
|
||||
def test_restock_itemprop_basic(client, live_server):
|
||||
|
||||
# needs to be set and something like 'ws://127.0.0.1:3000'
|
||||
assert os.getenv('PLAYWRIGHT_DRIVER_URL'), "Needs PLAYWRIGHT_DRIVER_URL set for this test"
|
||||
assert os.getenv('PRICE_SCRAPER_ML_ENDPOINT'), "Needs PRICE_SCRAPER_ML_ENDPOINT set for this test"
|
||||
|
||||
|
||||
live_server_setup(live_server)
|
||||
|
||||
set_response(price="123.99")
|
||||
|
||||
# because it needs to access itself from within the sockpuppetbrowser
|
||||
test_url = url_for('test_endpoint', _external=True)
|
||||
test_url = test_url.replace('localhost.localdomain', 'cdio')
|
||||
test_url = test_url.replace('localhost', 'cdio')
|
||||
|
||||
client.post(
|
||||
url_for("form_quick_watch_add"),
|
||||
data={"url": test_url, "tags": 'restock tests', 'processor': 'restock_diff'},
|
||||
follow_redirects=True
|
||||
)
|
||||
wait_for_all_checks(client)
|
||||
res = client.get(url_for("index"))
|
||||
|
||||
assert b'123.99' in res.data
|
||||
assert b' in-stock' in res.data
|
||||
assert b' not-in-stock' not in res.data
|
||||
|
||||
res = client.get(url_for("form_delete", uuid="all"), follow_redirects=True)
|
||||
assert b'Deleted' in res.data
|
||||
@@ -2,6 +2,7 @@
|
||||
|
||||
from flask import url_for
|
||||
from .util import set_original_response, set_modified_response, live_server_setup, wait_for_all_checks
|
||||
import time
|
||||
|
||||
def set_nonrenderable_response():
|
||||
test_return_data = """<html>
|
||||
@@ -90,6 +91,7 @@ def test_check_basic_change_detection_functionality(client, live_server, measure
|
||||
|
||||
# A totally zero byte (#2528) response should also not trigger an error
|
||||
set_zero_byte_response()
|
||||
time.sleep(2)
|
||||
client.get(url_for("form_watch_checknow"), follow_redirects=True)
|
||||
wait_for_all_checks(client)
|
||||
res = client.get(url_for("index"))
|
||||
|
||||
@@ -58,6 +58,10 @@ services:
|
||||
#
|
||||
# Absolute minimum seconds to recheck, overrides any watch minimum, change to 0 to disable
|
||||
# - MINIMUM_SECONDS_RECHECK_TIME=3
|
||||
#
|
||||
# Scrape prices from web pages automatically where the page has no embedded price information (see below also)
|
||||
# - PRICE_SCRAPER_ML_ENDPOINT=http://cdio-price-scraper:5005
|
||||
|
||||
# Comment out ports: when using behind a reverse proxy , enable networks: etc.
|
||||
ports:
|
||||
- 5000:5000
|
||||
@@ -104,6 +108,13 @@ services:
|
||||
# # Workaround to avoid the browser crashing inside a docker container
|
||||
# # See https://github.com/SeleniumHQ/docker-selenium#quick-start
|
||||
# - /dev/shm:/dev/shm
|
||||
# restart: unless-stopped
|
||||
|
||||
# Machine Learning/AI - Use "Visual Selector" elements data to scrape price data
|
||||
|
||||
# cdio-keras-price-scraper:
|
||||
# hostname: cdio-price-scraper
|
||||
# image: dgtlmoon/changedetection-AI-pricescraper
|
||||
# restart: unless-stopped
|
||||
|
||||
volumes:
|
||||
|
||||
@@ -82,7 +82,7 @@ pytest-flask ~=1.2
|
||||
# Anything 4.0 and up but not 5.0
|
||||
jsonschema ~= 4.0
|
||||
|
||||
|
||||
price_parser
|
||||
loguru
|
||||
|
||||
# For scraping all possible metadata relating to products so we can do better restock detection
|
||||
|
||||
Reference in New Issue
Block a user