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87 lines
2.4 KiB
87 lines
2.4 KiB
import feedparser |
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import hashlib |
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import sqlite3 |
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import goose3 |
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import tomli |
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import gptc |
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import bs4 |
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with open("sources.toml", "rb") as f: |
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sources = tomli.load(f) |
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g = goose3.Goose() |
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con = sqlite3.connect("articles.db") |
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con.execute("CREATE TABLE IF NOT EXISTS articles(source, category, url, text);") |
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known = [i[0] for i in con.execute("SELECT url FROM articles;")] |
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try: |
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for (url,) in con.execute("SELECT url FROM articles WHERE (text = '***');"): |
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print(f"Downloading {url}...") |
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con.execute( |
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"UPDATE articles SET text = ? WHERE (url = ?);", |
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( |
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g.extract(url).cleaned_text, |
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url, |
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), |
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) |
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print("Done downloading.") |
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for name, config in sources.items(): |
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url = config["feed"] |
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category = config["category"] |
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contains_articles = config["contains_articles"] |
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print(f"Fetching {name} feed ({url})...") |
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entries = [ |
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entry |
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for entry in feedparser.parse(url)["entries"] |
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if not entry["link"] in known |
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] |
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print(f"Fetched feed. Found {len(entries)} new articles.") |
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if contains_articles: |
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for entry in entries: |
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print(f"Saving {entry['link']}") |
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con.execute( |
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"INSERT INTO articles VALUES (?, ?, ?, ?);", |
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( |
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name, |
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category, |
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entry["link"], |
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bs4.BeautifulSoup( |
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entry["content"][0]["value"], features="lxml" |
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).text, |
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), |
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) |
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else: |
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for entry in entries: |
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print(f"Downloading {entry['link']}...") |
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con.execute( |
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"INSERT INTO articles VALUES (?, ?, ?, ?);", |
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( |
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name, |
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category, |
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entry["link"], |
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g.extract(entry["link"]).cleaned_text, |
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), |
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) |
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print(f"Done downloading.") |
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finally: |
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con.commit() |
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print("Compiling model...") |
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raw_model = [ |
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{"text": i[0], "category": i[1]} |
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for i in con.execute("SELECT text, category FROM articles;") |
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] |
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with open("model.gptc", "w+b") as f: |
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f.write( |
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gptc.compile(raw_model, max_ngram_length=3, min_count=3).serialize() |
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) |
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con.close()
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