Merge pull request #49 from shanyas10/ds_preprocessing_website

Adding WebsiteMetadataProcessor to preprocessing_utils

Author: shanyas10

bsmetadata/preprocessing_scripts/download_wiki_dump.sh

@@ -0,0 +1,12 @@
+
+
+out_dir=${1:-bsmetadata/preprocessing_data} # default director: preprocessing_data
+
+## Clone the huggingface dataset repo containing wiki dump
+mkdir -p "$out_dir"
+HUB_REPO_NAME=bs-modeling-metadata/wiki_dump
+git clone https://huggingface.co/datasets/${HUB_REPO_NAME} $out_dir/wiki_dump
+
+
+## Downloading nltk punkt to be used in sentence tokenizer
+python -m nltk.downloader 'punkt'

bsmetadata/preprocessing_tools/website_desc_utils.py

@@ -0,0 +1,42 @@
+import re
+from collections import defaultdict
+from typing import Optional
+
+import nltk
+from wikipedia2vec.dump_db import DumpDB
+
+
+class WebsiteDescUtils:
+    def __init__(self, path_wiki_db) -> None:
+        self.cache = defaultdict(str)
+        self.wiki_dump_db = DumpDB(path_wiki_db)
+        self.redirects_map = {
+            key.lower(): value for key, value in self.wiki_dump_db.redirects()
+        }  # loading all redirect information: takes ~10s
+
+    def fetch_wikipedia_title_from_keyword(self, keyword: str) -> str:
+        title = self.redirects_map.get(
+            keyword, keyword.split(".")[0].capitalize()
+        )  # fallback to default for cases where domain is not recognized. We'll try to hit the db with the exact keyword directly (e.g. rightmove.com -> Rightmove) Capitalizing since wikipedia titles are so
+        return title
+
+    def fetch_wikipedia_description_for_title(self, title: str) -> Optional:
+        try:
+            text = self.wiki_dump_db.get_paragraphs(title)[0].text
+            text = re.sub(r"\((?:[^)(]|\([^)(]*\))*\)", "", text)
+            text = nltk.sent_tokenize(text)[0]  # Picking the first sentence
+        except Exception:
+            return None
+        return text
+
+    def extract_wiki_desc(self, keyword: str) -> Optional:
+
+        title = self.fetch_wikipedia_title_from_keyword(keyword)
+        desc = self.fetch_wikipedia_description_for_title(title)
+        return desc
+
+    def fetch_website_description_from_keyword(self, keyword: str) -> Optional:
+        if not self.cache[keyword]:
+            self.cache[keyword] = self.extract_wiki_desc(keyword)
+
+        return self.cache[keyword]

bsmetadata/preprocessing_utils.py

@@ -23,6 +23,7 @@
 from REL.ner import load_flair_ner
 from REL.utils import process_results
 
+from bsmetadata.preprocessing_tools.website_desc_utils import WebsiteDescUtils
 from bsmetadata.vendor.dateutil.src.dateutil.parser import ParserError, parse
 
 
@@ -42,6 +43,11 @@ def parse_date(path):
         return None
 
 
+def fetch_keyword_from_url(url: str) -> str:  # e.g http://www.californialandcan.org/Plumas -> californialandcan.org
+    domain = urlsplit(url).netloc
+    return domain.replace("www.", "")
+
+
 def remove_improbable_date(x):
     if x is not None and (x.year < 1983 or x.year > 2021):
         return None
@@ -88,6 +94,38 @@ def _extract_timestamp_from_url(self, url: str) -> Optional[str]:
         return date
 
 
+class WebsiteDescPreprocessor(MetadataPreprocessor):
+    """Metadata preprocessor for adding website description based on URLs."""
+
+    def __init__(self, path_wiki_db: str = "../preprocessing_data/wiki_dump/wiki_en_dump_db") -> None:
+        self.website_utils = WebsiteDescUtils(path_wiki_db)
+        super().__init__()
+
+    def preprocess(self, examples: Dict[str, List]) -> Dict[str, List]:
+
+        metadata_list = examples["metadata"]
+
+        # Iterate through the metadata associated with all examples in this batch.
+        for metadata in metadata_list:
+            # Get the URL associated with this example.
+            urls = [md["value"] for md in metadata if md["key"] == "url"]
+
+            if not urls:
+                continue
+
+            # Try to extract a website description from the given URL and add it to the metadata.
+            website_description = self._extract_website_desc_from_url(urls[0])
+
+            if website_description:
+                metadata.append({"key": "website_description", "type": "global", "value": website_description})
+        return examples
+
+    def _extract_website_desc_from_url(self, url: str) -> Optional:
+
+        keyword = fetch_keyword_from_url(url)
+        return self.website_utils.fetch_website_description_from_keyword(keyword)
+
+
 class EntityPreprocessor(MetadataPreprocessor):
     """Metadata preprocessor for adding entity information."""
 

requirements.txt

@@ -4,3 +4,5 @@ wandb>=0.10.32,<1  # pip will likely update it to 0.12.1, but it is probably ok
 transformers>=4.6.0,<5  # pip will likely update it to 4.10.0, but it is probably ok and good for bugfixes.
 accelerate>=0.4.0,<1  # We may want to use 0.5.0 in the near future
 datasets[streaming]>=1.11.0,<2
+wikipedia2vec==1.0.5
+nltk==3.6.5

setup.py

@@ -21,5 +21,6 @@ def req_file(filename):
     install_requires=install_requires,
     extras_require={
         "entity_preprocessing": ["REL @ git+https://github.com/manandey/REL.git#egg=REL"],
+        "website_description_preprocessing": ["wikipedia2vec==1.0.5", "nltk==3.6.5"],
     },
 )

tests/mocks/mock_dump_db.py

@@ -0,0 +1,32 @@
+from typing import List
+
+
+class MockParagraph:
+    def __init__(self, text):
+        self.text = text
+
+
+class MockDumpDB:
+    def __init__(self, db_file) -> None:
+        self.db_file = db_file
+        self.redirect_info = [("xyz.com", "XYZ"), ("test.com", "Test"), ("test_key", "Test Key")]
+        self.paragraphs_map = {
+            "XYZ": [
+                MockParagraph("XYZ is a U.S. based company."),
+                MockParagraph("Test paragraph for the key XYZ."),
+            ],
+            "Test": [
+                MockParagraph("Test is a U.S. based company."),
+                MockParagraph("Test paragraph for the key Test."),
+            ],
+            "Sometitle": [
+                MockParagraph("SomeTitle is a U.S. based company."),
+                MockParagraph("Test paragraph for the key SomeTitle."),
+            ],
+        }
+
+    def redirects(self) -> List[tuple]:
+        return self.redirect_info
+
+    def get_paragraphs(self, title: str):
+        return self.paragraphs_map[title]

tests/test_preprocessing_utils.py

@@ -0,0 +1,55 @@
+import unittest
+from unittest import mock
+
+from datasets import Dataset
+from mocks.mock_dump_db import MockDumpDB
+
+from bsmetadata.preprocessing_utils import WebsiteDescPreprocessor
+
+
+def mock_sent_tokenize(text):
+    return [text]
+
+
+class WebsiteDescPreprocessorTester(unittest.TestCase):
+    @mock.patch("bsmetadata.preprocessing_tools.website_desc_utils.DumpDB")
+    def setUp(self, mock_db) -> None:
+        mock_db.return_value = MockDumpDB("some/path")
+        self.website_processor = WebsiteDescPreprocessor()
+        self.example_ids = [0, 1, 2]
+        self.example_text = ["test text 1", "test text 2", "test text 3"]
+        self.example_metadata = [
+            [{"key": "url", "type": "global", "value": "https://www.xyz.com"}],
+            [
+                {"key": "url", "type": "global", "value": "http://sometitle.com"},
+                {"key": "url", "type": "global", "value": "http://notfound.com"},
+            ],
+            [{"key": "url", "type": "global", "value": "https://www.test.com"}],
+        ]
+
+        self.example_dict = {"id": self.example_ids, "metadata": self.example_metadata, "text": self.example_text}
+
+    @mock.patch("bsmetadata.preprocessing_tools.website_desc_utils.nltk.sent_tokenize", new=mock_sent_tokenize)
+    def test_website_metadata_processor(self):
+        ds = Dataset.from_dict(self.example_dict)
+        ds = ds.map(lambda ex: self.website_processor.preprocess(ex), batched=True)
+        target_metadata = [
+            [
+                {"key": "url", "type": "global", "value": "https://www.xyz.com"},
+                {"key": "website_description", "type": "global", "value": "XYZ is a U.S. based company."},
+            ],
+            [
+                {"key": "url", "type": "global", "value": "http://sometitle.com"},
+                {"key": "url", "type": "global", "value": "http://notfound.com"},
+                {"key": "website_description", "type": "global", "value": "SomeTitle is a U.S. based company."},
+            ],
+            [
+                {"key": "url", "type": "global", "value": "https://www.test.com"},
+                {"key": "website_description", "type": "global", "value": "Test is a U.S. based company."},
+            ],
+        ]
+        self.assertEqual(ds[:]["metadata"], target_metadata)
+
+
+if __name__ == "__main__":
+    unittest.main()