William Jeynes
62 lines
1.7 KiB
Python
62 lines
1.7 KiB
Python
import requests
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import json
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import random
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from urllib.parse import urlencode
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BASE_URL = "https://dbkf.ontotext.com/rest-api/search/documents"
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# search parameters
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# Ukraine: http://weverify.eu/resource/Concept/Q212
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# COVID: http://weverify.eu/resource/Concept/Q84263196
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DEFAULT_PARAMS = {
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"concept": "http://weverify.eu/resource/Concept/Q212",
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# "documentTypes": "http://schema.org/Claim",
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"from": "2000-01-01",
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"to": "2026-02-19",
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"lang": "en",
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"limit": 5000, # Max per page
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"page": 1,
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"orderBy": "date"
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}
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NUM_RANDOM_CLAIMS = 20
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OUTPUT_FILE = "../../data/claims.json"
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def fetch_claims(params=None):
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if params is None:
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params = DEFAULT_PARAMS
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query_string = urlencode(params)
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url = f"{BASE_URL}?{query_string}"
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print(f"Fetching data from: {url}\n")
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try:
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response = requests.get(url, timeout=15)
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response.raise_for_status()
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data = response.json()
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documents = data.get("documents", [])
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print(f"Fetched {len(documents)} documents.")
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return documents
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except Exception as e:
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print(f"Error fetching data: {e}")
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return []
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def save_random_claims(documents, output_file, num_claims=20):
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if not documents:
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print("No documents to save.")
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return
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sample_size = min(num_claims, len(documents))
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selected = random.sample(documents, sample_size)
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with open(output_file, "w", encoding="utf-8") as f:
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json.dump(selected, f, indent=4, ensure_ascii=False)
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print(f"Saved {sample_size} random claims to {output_file}")
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if __name__ == "__main__":
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docs = fetch_claims()
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save_random_claims(docs, OUTPUT_FILE, NUM_RANDOM_CLAIMS)
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