import logging import re import time from datetime import date, datetime from typing import Any import requests from legex.models.base import Case from legex.scrapers.base import BaseScraper log = logging.getLogger(__name__) BASE = "https://sgcaselaw.com/cases/" HEADERS = {"User-Agent": "Mozilla/5.0 (compatible; LegalResearch/1.0)"} TARGET_COURTS = {"SGCA", "SGHC", "SGHC(A)"} PAGES = range(1, 29) DELAY_SECONDS = 0.5 DETAIL_DELAY_SECONDS = 0.3 _CASE_RE = re.compile(r"/cases/(\d{4}-[A-Z]+(?:\([A-Z]\))?-\d+)/") def _extract_date_from_listing(html: str, case_id: str) -> str: """Try to extract a decision date adjacent to a case link.""" pattern = ( rf"{re.escape(case_id)}.*?" r"(\d{1,2}\s+(?:January|February|March|April|May|June|July|August|September|October|November|December)\s+\d{4})" ) m = re.search(pattern, html, re.DOTALL) if m: try: return datetime.strptime(m.group(1), "%d %B %Y").strftime("%Y-%m-%d") except ValueError: pass return "" def _scrape_date_for_case(link: str) -> str: """Fallback: fetch the individual case page and pluck the first long-form date.""" try: r = requests.get(link, headers=HEADERS, timeout=15) m = re.search( r"(\d{1,2})\s+(January|February|March|April|May|June|July|August|September|October|November|December)\s+(\d{4})", r.text, ) if m: dt = datetime.strptime(f"{m.group(1)} {m.group(2)} {m.group(3)}", "%d %B %Y") return dt.strftime("%Y-%m-%d") except Exception: pass return "" def _scrape_index() -> list[dict[str, Any]]: rows: list[dict[str, Any]] = [] for page in PAGES: url = f"{BASE}?page={page}" if page > 1 else BASE try: r = requests.get(url, headers=HEADERS, timeout=30) r.raise_for_status() except Exception as e: log.warning("SG page %d: %s", page, e) continue for case_id in _CASE_RE.findall(r.text): parts = case_id.split("-") if len(parts) < 3: continue court = "-".join(parts[1:-1]) if court not in TARGET_COURTS: continue link = f"https://sgcaselaw.com/cases/{case_id}/" decision_date = _extract_date_from_listing(r.text, case_id) rows.append({"decision_date": decision_date, "link": link, "case_id": case_id}) log.info("SG page %d: running %d", page, len(rows)) time.sleep(DELAY_SECONDS) return rows class SGScraper(BaseScraper): country = "Singapur" def scrape( self, start_date: date | None = None, end_date: date | None = None, ) -> list[Case]: rows = _scrape_index() # Dedupe by link (preserve first occurrence). seen: set[str] = set() unique: list[dict[str, Any]] = [] for row in rows: if row["link"] in seen: continue seen.add(row["link"]) unique.append(row) log.info("SG unique civil cases: %d", len(unique)) # Back-fill missing dates from individual case pages. missing = [row for row in unique if not row["decision_date"]] log.info("SG missing dates: %d", len(missing)) for i, row in enumerate(missing): if i % 10 == 0: log.info("SG fetching dates %d/%d", i, len(missing)) row["decision_date"] = _scrape_date_for_case(row["link"]) time.sleep(DETAIL_DELAY_SECONDS) cases: list[Case] = [] for row in unique: decision_date: date | None = None if row["decision_date"]: try: decision_date = date.fromisoformat(row["decision_date"]) except ValueError: decision_date = None if start_date and decision_date and decision_date < start_date: continue if end_date and decision_date and decision_date > end_date: continue case_id = row["case_id"] parts = case_id.split("-") court = "-".join(parts[1:-1]) if len(parts) >= 3 else None cases.append(Case( case_id=case_id, link=row["link"], decision_date=decision_date, jurisdiction="sg", language="en", full_text=None, metadata={"court": court} if court else {}, )) cases.sort(key=lambda c: c.decision_date or date.min, reverse=True) log.info("Collected %d Singapore civil cases", len(cases)) return cases