"""Albanian Supreme Court (Gjykata e Lartë) via the Gatsby page-data JSON API. Decisions are published as periodic and thematic bulletins under `/sq/lajme/buletini/`. Each bulletin's detail page exposes its decisions inline as HTML strings inside `result.data.api.newsArticle.body[].content[].text_sq`, so we can extract full text without touching the pre-2020 .doc archive. Civil filter: keep decisions tagged "Kolegji Civil" (Civil College) or "Kolegjet e Bashkuara" (United Colleges, mixed civil/penal). """ import html import logging import re import time from datetime import date from typing import Any import requests from legex.models.base import Case from legex.scrapers.base import BaseScraper log = logging.getLogger(__name__) API_BASE = "https://www.gjykataelarte.gov.al/page-data" PUBLIC_BASE = "https://www.gjykataelarte.gov.al" USER_AGENT = "legex-research (open-data, friendly)" DELAY_SECONDS = 1.0 MAX_LIST_PAGES = 15 # New-format header (periodik/tematik bulletins 2024+) — standalone line: # Vendimi nr. 00-2025-1613 (255), datë 21.10.2025 i Kolegjit Penal # Followed by Maksima / Fjalë kyçe / Përmbledhje sections. _DECISION_HEADER_RE = re.compile( r"(Vendimi?\s+nr\.?\s*[\w\-\(\)\s]+?,?\s*dat[ëe]\s+\d{1,2}\.\d{1,2}\.\d{4}\s+i\s+Kolegj[a-zëÇçë ]+)", re.IGNORECASE, ) # Old-format mention (informativ/tematik bulletins 2022-2023) — appears inline: # Në vendimin nr.00-2022-635, datë 01.04.2022, ... # College is set by a section heading above ("Kolegji Civil i Gjykatës së Lartë"). _OLD_DECISION_RE = re.compile( r"N[ëe]\s+vendim(?:in)?\s+nr[\.\s]*([\d\(\)\s\-––]+?)\s*,?\s*dat[ëe]\s+(\d{1,2})[\.,](\d{1,2})[\.,](\d{4})", re.IGNORECASE, ) _COLLEGE_HEADING_RE = re.compile( r"Kolegj[i]?\s+(Civil|Penal|Administrativ|Administrative|Tregtar|" r"Bashkuar)[a-zëçÇË]*\s+(?:i\s+)?Gjykat", re.IGNORECASE, ) # Short aliases used inline (KCGJL = Kolegji Civil, KPGJL = Kolegji Penal, KAGJL = Kolegji Administrativ) _INLINE_COLLEGE_RE = re.compile(r"\bK(C|P|A)GJL\b") _DOC_LINK_RE = re.compile( r"https?://gjykata-media\.s3\.eu-central-1\.amazonaws\.com/[\w\-\.\/]+\.doc", re.IGNORECASE, ) _DECISION_NUM_RE = re.compile(r"nr\.?\s*([\d\-\(\)\s]+?)\s*,", re.IGNORECASE) _DATE_RE = re.compile(r"dat[ëe]\s+(\d{1,2})\.(\d{1,2})\.(\d{4})") _KEYWORD_RE = re.compile( r"Fjal[ëe]\s*ky[çc]e\s*[-–—]\s*(.+?)(?=P[ëe]rmbledhje|Maksima|$)", re.DOTALL | re.IGNORECASE, ) _MAXIMA_RE = re.compile( r"Maksima\s*[-–—]\s*(.+?)(?=Fjal[ëe]\s*ky[çc]e|P[ëe]rmbledhje|$)", re.DOTALL | re.IGNORECASE, ) def _strip_html(raw: str) -> str: """Remove HTML tags, decode entities, collapse whitespace.""" text = re.sub(r"<[^>]+>", "\n", raw) text = html.unescape(text) text = re.sub(r"\n{3,}", "\n\n", text) return text.strip() def _detect_college(header: str) -> str: h = header.lower() if "civil" in h: return "civil" if "penal" in h: return "penal" if "administrat" in h: return "administrative" if "bashk" in h: return "united" return "unknown" def _parse_iso_date(header: str) -> str | None: m = _DATE_RE.search(header) if not m: return None return f"{m.group(3)}-{m.group(2).zfill(2)}-{m.group(1).zfill(2)}" def _parse_decision_number(header: str) -> str | None: m = _DECISION_NUM_RE.search(header) if not m: return None return re.sub(r"\s+", "", m.group(1)) def _fetch_json(session: requests.Session, url: str) -> dict[str, Any] | None: try: resp = session.get(url, timeout=30) except requests.RequestException as e: log.warning("AL request error %s: %s", url, e) return None if resp.status_code == 404: return None if resp.status_code != 200: log.warning("AL HTTP %d for %s", resp.status_code, url) return None try: return resp.json() except ValueError: log.warning("AL non-JSON response from %s", url) return None def _list_bulletin_slugs(session: requests.Session) -> list[dict[str, Any]]: slugs: list[dict[str, Any]] = [] for page in range(1, MAX_LIST_PAGES + 1): url = ( f"{API_BASE}/sq/lajme/buletini/page-data.json" if page == 1 else f"{API_BASE}/sq/lajme/buletini/{page}/page-data.json" ) data = _fetch_json(session, url) if not data: break articles = ( data.get("result", {}).get("pageContext", {}).get("articles", []) ) if not articles: break for a in articles: slug = a.get("slug") if not slug: continue title_obj = a.get("title") if isinstance(title_obj, dict): title = title_obj.get("text_sq", "") or title_obj.get("text_en", "") else: title = title_obj or "" slugs.append( { "slug": slug, "publish_date": a.get("publishDate"), "title": title, } ) log.info("AL list page %d: %d bulletins (cumulative %d)", page, len(articles), len(slugs)) time.sleep(DELAY_SECONDS) return slugs def _fetch_bulletin_html(session: requests.Session, slug: str) -> str: url = f"{API_BASE}/sq/lajme/buletini/{slug}/page-data.json" data = _fetch_json(session, url) if not data: return "" try: body = data["result"]["data"]["api"]["newsArticle"]["body"] except (KeyError, TypeError): return "" chunks: list[str] = [] for block in body: if "Paragraph" not in block.get("__typename", ""): continue for content in block.get("content", []) or []: txt = content.get("text_sq") or content.get("text_en") or "" if txt: chunks.append(txt) return "".join(chunks) def _parse_decisions( bulletin_html: str, slug: str, bulletin_title: str ) -> list[dict[str, Any]]: plain = _strip_html(bulletin_html) parts = _DECISION_HEADER_RE.split(plain) if len(parts) < 3: # Fall back to the older bulletin layout where decisions are # introduced inline by "Në vendimin nr. X, datë Y" mentions. return _parse_old_format(plain, slug, bulletin_title) decisions: list[dict[str, Any]] = [] i = 1 while i < len(parts) - 1: header = parts[i].strip() body = parts[i + 1].strip() i += 2 if len(body) < 200: continue decisions.append( { "header": header, "body": body, "decision_number": _parse_decision_number(header), "iso_date": _parse_iso_date(header), "college": _detect_college(header), "maxima": (m.group(1).strip() if (m := _MAXIMA_RE.search(body)) else None), "keywords": ( [k.strip() for k in re.split(r"[,;]", km.group(1)) if k.strip()] if (km := _KEYWORD_RE.search(body)) else [] ), "bulletin_slug": slug, "bulletin_title": bulletin_title, "doc_link": None, "format": "new", } ) return decisions def _section_college_at(plain: str, pos: int) -> str: """Return the most recent college heading before pos in plain text.""" head = plain[:pos] last: str = "unknown" for m in _COLLEGE_HEADING_RE.finditer(head): last = _detect_college(m.group(0)) return last def _inline_college_at(snippet: str) -> str: m = _INLINE_COLLEGE_RE.search(snippet) if not m: return "unknown" return {"C": "civil", "P": "penal", "A": "administrative"}.get(m.group(1), "unknown") def _parse_old_format( plain: str, slug: str, bulletin_title: str ) -> list[dict[str, Any]]: matches = list(_OLD_DECISION_RE.finditer(plain)) if not matches: return [] decisions: list[dict[str, Any]] = [] for idx, m in enumerate(matches): # body spans from this match to the next, capped at ~3000 chars. body_end = matches[idx + 1].start() if idx + 1 < len(matches) else m.end() + 3000 body = plain[m.start():body_end].strip() if len(body) < 150: continue decision_num = re.sub(r"\s+", "", m.group(1)) iso_date = f"{m.group(4)}-{m.group(3).zfill(2)}-{m.group(2).zfill(2)}" # Prefer a college signalled inline (KCGJL / KPGJL / KAGJL inside the # summary itself) over the section heading, since some bulletins mix # multiple colleges in a single section. college = _inline_college_at(body) if college == "unknown": college = _section_college_at(plain, m.start()) doc_link_m = _DOC_LINK_RE.search(body) doc_link = doc_link_m.group(0) if doc_link_m else None decisions.append( { "header": body[:200], "body": body, "decision_number": decision_num, "iso_date": iso_date, "college": college, "maxima": None, "keywords": [], "bulletin_slug": slug, "bulletin_title": bulletin_title, "doc_link": doc_link, "format": "old", } ) return decisions class ALScraper(BaseScraper): country = "Albanien" def scrape( self, start_date: date | None = None, end_date: date | None = None, ) -> list[Case]: session = requests.Session() session.headers.update( {"User-Agent": USER_AGENT, "Accept": "application/json"} ) slugs = _list_bulletin_slugs(session) log.info("AL discovered %d bulletins", len(slugs)) seen: set[str] = set() cases: list[Case] = [] for info in slugs: raw_html = _fetch_bulletin_html(session, info["slug"]) time.sleep(DELAY_SECONDS) if not raw_html: continue decisions = _parse_decisions(raw_html, info["slug"], info["title"]) log.info("AL %s: %d decisions", info["slug"], len(decisions)) for d in decisions: decision_date: date | None = None if d["iso_date"]: try: decision_date = date.fromisoformat(d["iso_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 = d["decision_number"] or f"AL-{info['slug']}-{len(cases)}" if case_id in seen: continue seen.add(case_id) full_text = f"{d['header']}\n\n{d['body']}" if d["format"] == "new" else d["body"] # Prefer the direct .doc URL on S3 (old-format bulletins expose # it); fall back to the bulletin page for new-format entries. link = d.get("doc_link") or f"{PUBLIC_BASE}/sq/lajme/buletini/{info['slug']}" cases.append( Case( case_id=case_id, link=link, decision_date=decision_date, jurisdiction="al", language="sq", full_text=full_text, metadata={ "college": d["college"], "decision_number": d["decision_number"], "bulletin_slug": d["bulletin_slug"], "bulletin_title": d["bulletin_title"], "maxima": d["maxima"], "keywords": d["keywords"], "format": d["format"], "doc_link": d.get("doc_link"), }, ) ) cases.sort(key=lambda c: c.decision_date or date.min, reverse=True) log.info("Collected %d Albania cases", len(cases)) return cases @staticmethod def civil_filter(cases: list[Case]) -> list[Case]: kept = [ c for c in cases if (c.metadata or {}).get("college") in {"civil", "united"} ] log.info("AL civil_filter kept %d/%d", len(kept), len(cases)) return kept