prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  Spider tiffany is broken
  During the global build at 2021-05-26-14-42-23, spider **tiffany** failed with **0 features** and **0 errors**.
  
  Here's [the log](https://data.alltheplaces.xyz/runs/2021-05-26-14-42-23/logs/tiffany.log) and [the output](https://data.alltheplaces.xyz/runs/2021-05-26-14-42-23/output/tiffany.geojson) ([on a map](https://data.alltheplaces.xyz/map.html?show=https://data.alltheplaces.xyz/runs/2021-05-26-14-42-23/output/tiffany.geojson))
  Tiffany
  http://www.tiffany.com/jewelry-stores/store-list/united-states
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `locations/spiders/tiffany.py`
  Content:
  ```
  1 import scrapy
  2 import re
  3 import json
  4 from locations.items import GeojsonPointItem
  5 
  6 class TiffanySpider(scrapy.Spider):
  7 
  8     name = "tiffany"
  9     item_attributes = { 'brand': "Tiffany" }
  10     allowed_domains = ["www.tiffany.com"]
  11     download_delay = 0.5
  12     start_urls = (
  13         'http://www.tiffany.com/jewelry-stores/store-list/united-states',
  14     )
  15 
  16     def parse_day(self, day):
  17         if re.search('-', day):
  18             days = day.split('-')
  19             osm_days = []
  20             if len(days) == 2:
  21                 for day in days:
  22                     osm_day = day.strip()[:2]
  23                     osm_days.append(osm_day)
  24             return "-".join(osm_days)
  25         return day.strip()[:2]
  26 
  27     def parse_times(self, times):
  28         if times.strip() == 'CLOSED':
  29             return 'Closed'
  30         hours_to = [x.strip() for x in times.split('-')]
  31         cleaned_times = []
  32         for hour in hours_to:
  33             if re.search('PM$', hour):
  34                 hour = re.sub('PM', '', hour).strip()
  35                 hour_min = hour.split(":")
  36                 if int(hour_min[0]) < 12:
  37                     hour_min[0] = str(12 + int(hour_min[0]))
  38                 cleaned_times.append(":".join(hour_min))
  39 
  40             if re.search('AM$', hour):
  41                 hour = re.sub('AM', '', hour).strip()
  42                 hour_min = hour.split(":")
  43                 if len(hour_min[0]) <2:
  44                     hour_min[0] = hour_min[0].zfill(2)
  45                 else:
  46                     hour_min[0] = str(int(hour_min[0]))
  47 
  48                 cleaned_times.append(":".join(hour_min))
  49         return "-".join(cleaned_times)
  50 
  51     def parse_hours(self, lis):
  52         hours = []
  53         for li in lis:
  54           if re.search(r"([0-9]{1,2}):([0-9]{1,2})([APM]{2})|CLOSED" , li):
  55             day = li.split(':')[0]
  56             times = li.replace(day+':','')
  57             if times and day:
  58                 parsed_time = self.parse_times(times)
  59                 parsed_day = self.parse_day(day)
  60                 hours.append(parsed_day + ' ' + parsed_time)
  61 
  62         return "; ".join(hours)
  63 
  64     def parse_stores(self, response):
  65         data = json.loads(response.xpath('//script[@type="application/ld+json"]/text()').extract_first())
  66         properties = {
  67             'addr_full': data['address']['streetAddress'],
  68             'phone': data['telephone'],
  69             'name': data['name'],
  70             'city': data['address']['addressLocality'],
  71             'state': data['address']['addressRegion'],
  72             'postcode': data['address']['postalCode'],
  73             'ref': data['name'].replace(' ','_'),
  74             'website': response.url,
  75             'lat': float(data['geo']['latitude']),
  76             'lon': float(data['geo']['longitude']),
  77         }
  78 
  79         hours = self.parse_hours(response.xpath('//div[@id="divExtendedInfo"]/text()').extract())
  80         if hours:
  81             properties['opening_hours'] = hours
  82         yield GeojsonPointItem(**properties)
  83 
  84     def parse(self, response):
  85         urls = response.xpath('//a[contains(text(),"View on Map")]/@href').extract()
  86         for path in urls:
  87             yield scrapy.Request(response.urljoin(path), callback=self.parse_stores)
  88
  ```
  --- END FILES ---
  
  Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.
  
  Here is an example:
  
  ```diff
  diff --git a/examples/server_async.py b/examples/server_async.py
  --- a/examples/server_async.py
  +++ b/examples/server_async.py
  @@ -313,4 +313,4 @@
   
   
   if __name__ == "__main__":
  -    asyncio.run(run_async_server("."), debug=True)
  +    asyncio.run(run_async_server(), debug=True)
  diff --git a/examples/server_sync.py b/examples/server_sync.py
  --- a/examples/server_sync.py
  +++ b/examples/server_sync.py
  @@ -313,5 +313,5 @@
   
   
   if __name__ == "__main__":
  -    server = run_sync_server(".")
  +    server = run_sync_server()
       server.shutdown()
  
  ```
  
golden_diff: diff --git a/locations/spiders/tiffany.py b/locations/spiders/tiffany.py
  --- a/locations/spiders/tiffany.py
  +++ b/locations/spiders/tiffany.py
  @@ -6,11 +6,11 @@
   class TiffanySpider(scrapy.Spider):
   
       name = "tiffany"
  -    item_attributes = { 'brand': "Tiffany" }
  +    item_attributes = { 'brand': "Tiffany", 'brand_wikidata': "Q1066858" }
       allowed_domains = ["www.tiffany.com"]
       download_delay = 0.5
       start_urls = (
  -        'http://www.tiffany.com/jewelry-stores/store-list/united-states',
  +        'https://www.tiffany.com/jewelry-stores/store-list/',
       )
   
       def parse_day(self, day):
  @@ -61,27 +61,31 @@
   
           return "; ".join(hours)
   
  -    def parse_stores(self, response):
  -        data = json.loads(response.xpath('//script[@type="application/ld+json"]/text()').extract_first())
  -        properties = {
  -            'addr_full': data['address']['streetAddress'],
  -            'phone': data['telephone'],
  -            'name': data['name'],
  -            'city': data['address']['addressLocality'],
  -            'state': data['address']['addressRegion'],
  -            'postcode': data['address']['postalCode'],
  -            'ref': data['name'].replace(' ','_'),
  -            'website': response.url,
  -            'lat': float(data['geo']['latitude']),
  -            'lon': float(data['geo']['longitude']),
  -        }
  +    def parse(self, response):
  +        for href in response.xpath('//@href[contains(., "/jewelry-stores/")]').extract():
  +            yield scrapy.Request(response.urljoin(href))
   
  -        hours = self.parse_hours(response.xpath('//div[@id="divExtendedInfo"]/text()').extract())
  -        if hours:
  -            properties['opening_hours'] = hours
  -        yield GeojsonPointItem(**properties)
  +        for ldjson in response.xpath('//script[@type="application/ld+json"]/text()').extract():
  +            data = json.loads(ldjson)
  +            if data["@type"] != "Store":
  +                continue
  +
  +            properties = {
  +                'name': data['name'],
  +                'phone': data['telephone'],
  +                'addr_full': data['address']['streetAddress'],
  +                'city': data['address']['addressLocality'],
  +                'state': data['address']['addressRegion'],
  +                'postcode': data['address']['postalCode'],
  +                'country': data['address']['addressCountry'],
  +                'ref': data['name'].replace(' ','_'),
  +                'website': response.url,
  +                'lat': response.xpath('//tiffany-maps/@markeratlat').extract_first(),
  +                'lon': response.xpath('//tiffany-maps/@markeratlng').extract_first(),
  +            }
  +
  +            hours = self.parse_hours(response.xpath('//div[@id="divExtendedInfo"]/text()').extract())
  +            if hours:
  +                properties['opening_hours'] = hours
  +            yield GeojsonPointItem(**properties)
   
  -    def parse(self, response):
  -        urls = response.xpath('//a[contains(text(),"View on Map")]/@href').extract()
  -        for path in urls:
  -            yield scrapy.Request(response.urljoin(path), callback=self.parse_stores)
  
verification_info: {"golden_diff": "diff --git a/locations/spiders/tiffany.py b/locations/spiders/tiffany.py\n--- a/locations/spiders/tiffany.py\n+++ b/locations/spiders/tiffany.py\n@@ -6,11 +6,11 @@\n class TiffanySpider(scrapy.Spider):\n \n     name = \"tiffany\"\n-    item_attributes = { 'brand': \"Tiffany\" }\n+    item_attributes = { 'brand': \"Tiffany\", 'brand_wikidata': \"Q1066858\" }\n     allowed_domains = [\"www.tiffany.com\"]\n     download_delay = 0.5\n     start_urls = (\n-        'http://www.tiffany.com/jewelry-stores/store-list/united-states',\n+        'https://www.tiffany.com/jewelry-stores/store-list/',\n     )\n \n     def parse_day(self, day):\n@@ -61,27 +61,31 @@\n \n         return \"; \".join(hours)\n \n-    def parse_stores(self, response):\n-        data = json.loads(response.xpath('//script[@type=\"application/ld+json\"]/text()').extract_first())\n-        properties = {\n-            'addr_full': data['address']['streetAddress'],\n-            'phone': data['telephone'],\n-            'name': data['name'],\n-            'city': data['address']['addressLocality'],\n-            'state': data['address']['addressRegion'],\n-            'postcode': data['address']['postalCode'],\n-            'ref': data['name'].replace(' ','_'),\n-            'website': response.url,\n-            'lat': float(data['geo']['latitude']),\n-            'lon': float(data['geo']['longitude']),\n-        }\n+    def parse(self, response):\n+        for href in response.xpath('//@href[contains(., \"/jewelry-stores/\")]').extract():\n+            yield scrapy.Request(response.urljoin(href))\n \n-        hours = self.parse_hours(response.xpath('//div[@id=\"divExtendedInfo\"]/text()').extract())\n-        if hours:\n-            properties['opening_hours'] = hours\n-        yield GeojsonPointItem(**properties)\n+        for ldjson in response.xpath('//script[@type=\"application/ld+json\"]/text()').extract():\n+            data = json.loads(ldjson)\n+            if data[\"@type\"] != \"Store\":\n+                continue\n+\n+            properties = {\n+                'name': data['name'],\n+                'phone': data['telephone'],\n+                'addr_full': data['address']['streetAddress'],\n+                'city': data['address']['addressLocality'],\n+                'state': data['address']['addressRegion'],\n+                'postcode': data['address']['postalCode'],\n+                'country': data['address']['addressCountry'],\n+                'ref': data['name'].replace(' ','_'),\n+                'website': response.url,\n+                'lat': response.xpath('//tiffany-maps/@markeratlat').extract_first(),\n+                'lon': response.xpath('//tiffany-maps/@markeratlng').extract_first(),\n+            }\n+\n+            hours = self.parse_hours(response.xpath('//div[@id=\"divExtendedInfo\"]/text()').extract())\n+            if hours:\n+                properties['opening_hours'] = hours\n+            yield GeojsonPointItem(**properties)\n \n-    def parse(self, response):\n-        urls = response.xpath('//a[contains(text(),\"View on Map\")]/@href').extract()\n-        for path in urls:\n-            yield scrapy.Request(response.urljoin(path), callback=self.parse_stores)\n", "issue": "Spider tiffany is broken\nDuring the global build at 2021-05-26-14-42-23, spider **tiffany** failed with **0 features** and **0 errors**.\n\nHere's [the log](https://data.alltheplaces.xyz/runs/2021-05-26-14-42-23/logs/tiffany.log) and [the output](https://data.alltheplaces.xyz/runs/2021-05-26-14-42-23/output/tiffany.geojson) ([on a map](https://data.alltheplaces.xyz/map.html?show=https://data.alltheplaces.xyz/runs/2021-05-26-14-42-23/output/tiffany.geojson))\nTiffany\nhttp://www.tiffany.com/jewelry-stores/store-list/united-states\n", "before_files": [{"content": "import scrapy\nimport re\nimport json\nfrom locations.items import GeojsonPointItem\n\nclass TiffanySpider(scrapy.Spider):\n\n    name = \"tiffany\"\n    item_attributes = { 'brand': \"Tiffany\" }\n    allowed_domains = [\"www.tiffany.com\"]\n    download_delay = 0.5\n    start_urls = (\n        'http://www.tiffany.com/jewelry-stores/store-list/united-states',\n    )\n\n    def parse_day(self, day):\n        if re.search('-', day):\n            days = day.split('-')\n            osm_days = []\n            if len(days) == 2:\n                for day in days:\n                    osm_day = day.strip()[:2]\n                    osm_days.append(osm_day)\n            return \"-\".join(osm_days)\n        return day.strip()[:2]\n\n    def parse_times(self, times):\n        if times.strip() == 'CLOSED':\n            return 'Closed'\n        hours_to = [x.strip() for x in times.split('-')]\n        cleaned_times = []\n        for hour in hours_to:\n            if re.search('PM$', hour):\n                hour = re.sub('PM', '', hour).strip()\n                hour_min = hour.split(\":\")\n                if int(hour_min[0]) < 12:\n                    hour_min[0] = str(12 + int(hour_min[0]))\n                cleaned_times.append(\":\".join(hour_min))\n\n            if re.search('AM$', hour):\n                hour = re.sub('AM', '', hour).strip()\n                hour_min = hour.split(\":\")\n                if len(hour_min[0]) <2:\n                    hour_min[0] = hour_min[0].zfill(2)\n                else:\n                    hour_min[0] = str(int(hour_min[0]))\n\n                cleaned_times.append(\":\".join(hour_min))\n        return \"-\".join(cleaned_times)\n\n    def parse_hours(self, lis):\n        hours = []\n        for li in lis:\n          if re.search(r\"([0-9]{1,2}):([0-9]{1,2})([APM]{2})|CLOSED\" , li):\n            day = li.split(':')[0]\n            times = li.replace(day+':','')\n            if times and day:\n                parsed_time = self.parse_times(times)\n                parsed_day = self.parse_day(day)\n                hours.append(parsed_day + ' ' + parsed_time)\n\n        return \"; \".join(hours)\n\n    def parse_stores(self, response):\n        data = json.loads(response.xpath('//script[@type=\"application/ld+json\"]/text()').extract_first())\n        properties = {\n            'addr_full': data['address']['streetAddress'],\n            'phone': data['telephone'],\n            'name': data['name'],\n            'city': data['address']['addressLocality'],\n            'state': data['address']['addressRegion'],\n            'postcode': data['address']['postalCode'],\n            'ref': data['name'].replace(' ','_'),\n            'website': response.url,\n            'lat': float(data['geo']['latitude']),\n            'lon': float(data['geo']['longitude']),\n        }\n\n        hours = self.parse_hours(response.xpath('//div[@id=\"divExtendedInfo\"]/text()').extract())\n        if hours:\n            properties['opening_hours'] = hours\n        yield GeojsonPointItem(**properties)\n\n    def parse(self, response):\n        urls = response.xpath('//a[contains(text(),\"View on Map\")]/@href').extract()\n        for path in urls:\n            yield scrapy.Request(response.urljoin(path), callback=self.parse_stores)\n", "path": "locations/spiders/tiffany.py"}], "after_files": [{"content": "import scrapy\nimport re\nimport json\nfrom locations.items import GeojsonPointItem\n\nclass TiffanySpider(scrapy.Spider):\n\n    name = \"tiffany\"\n    item_attributes = { 'brand': \"Tiffany\", 'brand_wikidata': \"Q1066858\" }\n    allowed_domains = [\"www.tiffany.com\"]\n    download_delay = 0.5\n    start_urls = (\n        'https://www.tiffany.com/jewelry-stores/store-list/',\n    )\n\n    def parse_day(self, day):\n        if re.search('-', day):\n            days = day.split('-')\n            osm_days = []\n            if len(days) == 2:\n                for day in days:\n                    osm_day = day.strip()[:2]\n                    osm_days.append(osm_day)\n            return \"-\".join(osm_days)\n        return day.strip()[:2]\n\n    def parse_times(self, times):\n        if times.strip() == 'CLOSED':\n            return 'Closed'\n        hours_to = [x.strip() for x in times.split('-')]\n        cleaned_times = []\n        for hour in hours_to:\n            if re.search('PM$', hour):\n                hour = re.sub('PM', '', hour).strip()\n                hour_min = hour.split(\":\")\n                if int(hour_min[0]) < 12:\n                    hour_min[0] = str(12 + int(hour_min[0]))\n                cleaned_times.append(\":\".join(hour_min))\n\n            if re.search('AM$', hour):\n                hour = re.sub('AM', '', hour).strip()\n                hour_min = hour.split(\":\")\n                if len(hour_min[0]) <2:\n                    hour_min[0] = hour_min[0].zfill(2)\n                else:\n                    hour_min[0] = str(int(hour_min[0]))\n\n                cleaned_times.append(\":\".join(hour_min))\n        return \"-\".join(cleaned_times)\n\n    def parse_hours(self, lis):\n        hours = []\n        for li in lis:\n          if re.search(r\"([0-9]{1,2}):([0-9]{1,2})([APM]{2})|CLOSED\" , li):\n            day = li.split(':')[0]\n            times = li.replace(day+':','')\n            if times and day:\n                parsed_time = self.parse_times(times)\n                parsed_day = self.parse_day(day)\n                hours.append(parsed_day + ' ' + parsed_time)\n\n        return \"; \".join(hours)\n\n    def parse(self, response):\n        for href in response.xpath('//@href[contains(., \"/jewelry-stores/\")]').extract():\n            yield scrapy.Request(response.urljoin(href))\n\n        for ldjson in response.xpath('//script[@type=\"application/ld+json\"]/text()').extract():\n            data = json.loads(ldjson)\n            if data[\"@type\"] != \"Store\":\n                continue\n\n            properties = {\n                'name': data['name'],\n                'phone': data['telephone'],\n                'addr_full': data['address']['streetAddress'],\n                'city': data['address']['addressLocality'],\n                'state': data['address']['addressRegion'],\n                'postcode': data['address']['postalCode'],\n                'country': data['address']['addressCountry'],\n                'ref': data['name'].replace(' ','_'),\n                'website': response.url,\n                'lat': response.xpath('//tiffany-maps/@markeratlat').extract_first(),\n                'lon': response.xpath('//tiffany-maps/@markeratlng').extract_first(),\n            }\n\n            hours = self.parse_hours(response.xpath('//div[@id=\"divExtendedInfo\"]/text()').extract())\n            if hours:\n                properties['opening_hours'] = hours\n            yield GeojsonPointItem(**properties)\n\n", "path": "locations/spiders/tiffany.py"}]}