| |
| """Fetch a small factual Crossref discovery sample; standard library only.""" |
| import hashlib |
| import html |
| import json |
| import re |
| import time |
| from datetime import datetime, timezone |
| from pathlib import Path |
| from urllib.parse import urlencode, quote |
| from urllib.request import Request, urlopen |
|
|
| ROOT = Path(__file__).resolve().parent |
| QUERIES = ["insomnia", "cognitive behavioral therapy insomnia", "circadian rhythm sleep", "obstructive sleep apnea"] |
|
|
|
|
| def clean(value): |
| return " ".join(html.unescape(re.sub(r"<[^>]*>", "", str(value))).split()) |
|
|
|
|
| def fetch(url): |
| for attempt in range(3): |
| try: |
| request = Request(url, headers={"User-Agent": "PRANASARA-SleepDiscoverySample/0.1", "Accept": "application/json"}) |
| with urlopen(request, timeout=30) as response: |
| return json.load(response)["message"]["items"] |
| except Exception: |
| if attempt == 2: |
| raise |
| time.sleep(2 ** (attempt + 1)) |
|
|
|
|
| def main(): |
| records = {} |
| requests = [] |
| for query in QUERIES: |
| if requests: |
| time.sleep(1) |
| url = "https://api.crossref.org/works?" + urlencode({"query": query, "filter": "type:journal-article", "rows": 10}) |
| items = fetch(url) |
| retrieved = datetime.now(timezone.utc).isoformat().replace("+00:00", "Z") |
| requests.append({"query": query, "url": url, "retrieved_at_utc": retrieved, "returned_count": len(items)}) |
| for item in items: |
| doi = str(item.get("DOI", "")).strip().lower() |
| if not doi: |
| raise ValueError("Crossref returned an item without a DOI") |
| if doi in records: |
| records[doi]["query_memberships"].append(query) |
| continue |
| records[doi] = { |
| "id": "doi:" + doi, |
| "doi": doi, |
| "titles": [clean(title) for title in item.get("title", [])], |
| "author_names": [clean(" ".join(filter(None, [author.get("given"), author.get("family")])) or author.get("name", "")) for author in item.get("author", [])], |
| "journal_names": [clean(name) for name in item.get("container-title", [])], |
| "publisher": clean(item.get("publisher", "")), |
| "crossref_type": item.get("type"), |
| "publication_date_parts": item.get("published", item.get("issued", {})).get("date-parts", []), |
| "doi_url": "https://doi.org/" + quote(doi, safe="/"), |
| "query_memberships": [query], |
| "source_endpoint": "https://api.crossref.org/works/" + quote(doi, safe=""), |
| "retrieved_at_utc": retrieved, |
| } |
| rows = [records[doi] for doi in sorted(records)] |
| if not 0 < len(rows) <= 40: |
| raise ValueError("Sample must contain between 1 and 40 records") |
| payload = "".join(json.dumps(row, ensure_ascii=False, sort_keys=True) + "\n" for row in rows).encode("utf-8") |
| manifest = { |
| "dataset": "PRANASARA sleep discovery sample", |
| "version": "0.1.0", |
| "retrieved_at_utc": datetime.now(timezone.utc).isoformat().replace("+00:00", "Z"), |
| "requests": requests, |
| "record_count": len(rows), |
| "dataset_file": "sleep-discovery.jsonl", |
| "sha256": hashlib.sha256(payload).hexdigest(), |
| "compilation_license": "CC0-1.0", |
| "rights_basis": "https://www.crossref.org/documentation/retrieve-metadata/", |
| "license_limitations": "CC0 applies to this factual metadata compilation only. No rights to linked articles, abstracts, full text or other excluded content are granted. Query memberships are retrieval provenance, not reviewed topic labels.", |
| "review_status": "unreviewed discovery sample; not clinical evidence, a comprehensive corpus, or Apify Actor output", |
| } |
| |
| (ROOT / "sleep-discovery.jsonl").write_bytes(payload) |
| (ROOT / "manifest.json").write_text(json.dumps(manifest, ensure_ascii=False, indent=2) + "\n", encoding="utf-8") |
| print(json.dumps({"records": len(rows), "sha256": manifest["sha256"]})) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
