mirror of
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141 lines
4.5 KiB
Python
141 lines
4.5 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2019 Mike Fährmann
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License version 2 as
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# published by the Free Software Foundation.
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"""Extractors for Shopify instances"""
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from .common import Extractor, Message, SharedConfigMixin, generate_extractors
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from .. import text
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import time
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import re
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class ShopifyExtractor(SharedConfigMixin, Extractor):
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"""Base class for Shopify extractors"""
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basecategory = "shopify"
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filename_fmt = "{product[title]}_{num:>02}_{id}.{extension}"
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archive_fmt = "{id}"
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def __init__(self, match):
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Extractor.__init__(self, match)
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self.item_url = self.root + match.group(1)
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def request(self, url, method="GET", expect=range(400, 500), **kwargs):
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tries = 0
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kwargs["expect"] = expect
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while True:
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response = Extractor.request(self, url, method, **kwargs)
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if response.status_code not in (429, 430):
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return response
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tries += 1
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waittime = 2 ** (tries + 2)
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self.log.warning(
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"HTTP status %s: %s - Waiting for %d seconds",
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response.status_code, response.reason, waittime)
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time.sleep(waittime)
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def items(self):
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data = self.metadata()
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yield Message.Version, 1
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yield Message.Directory, data
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headers = {"X-Requested-With": "XMLHttpRequest"}
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for url in self.products():
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response = self.request(url + ".json", headers=headers)
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if response.status_code >= 400:
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self.log.warning('Skipping %s ("%d: %s")',
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url, response.status_code, response.reason)
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continue
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product = response.json()["product"]
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del product["image"]
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for num, image in enumerate(product.pop("images"), 1):
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text.nameext_from_url(image["src"], image)
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image.update(data)
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image["product"] = product
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image["num"] = num
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yield Message.Url, image["src"], image
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def metadata(self):
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"""Return general metadata"""
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return {}
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def products(self):
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"""Return an iterable with all relevant product URLs"""
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class ShopifyCollectionExtractor(ShopifyExtractor):
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"""Base class for collection extractors for Shopify based sites"""
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subcategory = "collection"
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directory_fmt = ("{category}", "{collection[title]}")
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pattern_fmt = r"(/collections/[\w-]+)/?(?:\?([^#]+))?(?:$|#)"
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def __init__(self, match):
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ShopifyExtractor.__init__(self, match)
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self.params = match.group(2)
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def metadata(self):
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return self.request(self.item_url + ".json").json()
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def products(self):
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params = text.parse_query(self.params)
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params["page"] = text.parse_int(params.get("page"), 1)
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search_re = re.compile(r"/collections/[\w-]+/products/[\w-]+")
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while True:
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page = self.request(self.item_url, params=params).text
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urls = search_re.findall(page)
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last = None
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if not urls:
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return
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for path in urls:
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if last == path:
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continue
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last = path
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yield self.root + path
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params["page"] += 1
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class ShopifyProductExtractor(ShopifyExtractor):
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"""Base class for product extractors for Shopify based sites"""
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subcategory = "product"
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directory_fmt = ("{category}", "Products")
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pattern_fmt = r"((?:/collections/[\w-]+)?/products/[\w-]+)"
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def products(self):
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return (self.item_url,)
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EXTRACTORS = {
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"fashionnova": {
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"root": "https://www.fashionnova.com",
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"pattern": r"(?:www\.)?fashionnova\.com",
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"test-product": (
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("https://www.fashionnova.com/products/essential-slide-red", {
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"pattern": r"https?://cdn\.shopify.com/",
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"count": 3,
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}),
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("https://www.fashionnova.com/collections/flats/products/name"),
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),
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"test-collection": (
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("https://www.fashionnova.com/collections/mini-dresses", {
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"range": "1-20",
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"count": 20,
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}),
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("https://www.fashionnova.com/collections/mini-dresses/?page=1"),
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("https://www.fashionnova.com/collections/mini-dresses#1"),
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),
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},
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}
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generate_extractors(EXTRACTORS, globals(), (
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ShopifyProductExtractor,
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ShopifyCollectionExtractor,
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))
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