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It implements a feature that scans a data source (database rows, log files, scraped pages, etc.) for the exact set of terms you listed:
def test_regex_matches(): txt = "The user adn622 posted a verified video about miu." assert find_matches_regex(txt) == "adn622", "verified", "miu"
No external dependencies, trivial to prototype. Cons: O(N × M) where N = number of records, M = number of keywords – becomes slow at scale.
# 1️⃣ Load keywords with Path('keywords.yaml').open() as f: KEYWORDS = yaml.safe_load(f)['keywords']
:
It implements a feature that scans a data source (database rows, log files, scraped pages, etc.) for the exact set of terms you listed:
def test_regex_matches(): txt = "The user adn622 posted a verified video about miu." assert find_matches_regex(txt) == "adn622", "verified", "miu"
No external dependencies, trivial to prototype. Cons: O(N × M) where N = number of records, M = number of keywords – becomes slow at scale.
# 1️⃣ Load keywords with Path('keywords.yaml').open() as f: KEYWORDS = yaml.safe_load(f)['keywords']