Source layer (5 court sources), processing pipeline (parse/extract/chunk/embed/graph), property graph with 8 node types, juror subgraph queries with 6 personas, orchestrator with bootstrap/watch/backfill/audit/process modes, 170 tests. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
144 lines
5.3 KiB
Python
144 lines
5.3 KiB
Python
"""High Court of Australia source — crawl from /cases-and-judgments."""
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from __future__ import annotations
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import logging
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from datetime import datetime, timezone
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from bs4 import BeautifulSoup
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from aucourt_ingest.models import FetchQueueItem, FetchStatus, RawDocument
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from aucourt_ingest.sources.base import BaseSource
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from aucourt_ingest.storage.doc_store import DocStore
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from aucourt_ingest.storage.meta_db import MetaDB
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from aucourt_ingest.utils.mnc_parser import parse_mnc
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logger = logging.getLogger(__name__)
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HIGHCOURT_BASE = "https://www.hcourt.gov.au"
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# Priority keywords for MVP criminal filter
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PRIORITY_KEYWORDS = [
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"murder", "manslaughter", "sexual assault", "robbery",
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"appeal allowed", "conviction quashed", "miscarriage of justice",
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"criminal", "criminal appeal", "sentence",
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]
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class HighCourtSource(BaseSource):
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"""High Court of Australia — index crawl.
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NOTE: The exact page structure of /cases-and-judgments is not yet
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fully mapped. This adapter targets the case list pages and individual
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judgment pages. Adjust selectors as needed after inspection.
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"""
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source_id = "highcourt"
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async def discover(self, page: int = 1, **kwargs) -> list[FetchQueueItem]:
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"""Crawl the cases page for judgment links.
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The High Court site structure is not fully documented.
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This implementation looks for links to individual cases.
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"""
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async with self.rate_limiter:
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resp = await self.client.get(f"{HIGHCOURT_BASE}/cases-and-judgments")
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resp.raise_for_status()
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soup = BeautifulSoup(resp.text, "html.parser")
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items = []
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# Find all links that point to case pages
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for a_tag in soup.find_all("a", href=True):
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href = a_tag["href"]
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text = a_tag.get_text(strip=True).lower()
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# Look for case links (typically /cases/case-sYYYY-N pattern)
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if "/cases/case-" in href or "/judgments/" in href:
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url = href if href.startswith("http") else f"{HIGHCOURT_BASE}{href}"
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# Apply keyword filter for MVP
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if any(kw in text for kw in PRIORITY_KEYWORDS):
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parsed = parse_mnc(a_tag.get_text(strip=True))
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doc_id = parsed.mnc if parsed else url.split("/")[-1]
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items.append(FetchQueueItem(
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source_id=self.source_id,
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url=url,
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priority=2, # High Court = higher priority
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doc_id=doc_id,
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))
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if self.meta_db:
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await self.meta_db.insert_document(doc_id, self.source_id, url)
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logger.info(f"High Court: {len(items)} case links found")
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return items
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async def fetch(self, url: str, **kwargs) -> RawDocument:
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"""Fetch a High Court judgment page."""
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async with self.rate_limiter:
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resp = await self.client.get(url)
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resp.raise_for_status()
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soup = BeautifulSoup(resp.text, "html.parser")
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# High Court pages vary — try common content containers
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content = (
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soup.find("div", class_="judgment")
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or soup.find("div", class_="content")
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or soup.find("article")
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or soup.find("main")
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or soup.find("div", class_="container")
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)
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raw_text = content.get_text(separator="\n", strip=True) if content else resp.text
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parsed = parse_mnc(raw_text[:500])
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doc_id = parsed.mnc if parsed else url.split("/")[-1]
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return RawDocument(
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source_id=self.source_id,
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doc_id=doc_id,
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url=url,
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fetch_timestamp=datetime.now(timezone.utc).isoformat(),
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raw_text=raw_text,
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format="html",
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)
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async def bootstrap_highcourt(
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config, meta_db: MetaDB, doc_store: DocStore,
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limit: int = 0,
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) -> int:
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"""Fetch criminal-relevant judgments from High Court."""
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source = HighCourtSource(config, meta_db)
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await meta_db.init_source(source.source_id)
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total_fetched = 0
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try:
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items = await source.discover()
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for item in items:
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if limit and total_fetched >= limit:
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break
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existing = await meta_db.get_document(item.url)
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if existing and existing["fetch_status"] in (FetchStatus.FETCHED, FetchStatus.PARSED):
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continue
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doc_id = item.url.split("/")[-1]
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try:
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raw = await source.fetch(item.url)
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doc_id = raw.doc_id
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doc_store.save(source.source_id, raw.doc_id, raw.raw_text, fmt="html")
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await meta_db.update_status(doc_id, FetchStatus.FETCHED)
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await meta_db.update_doc_meta(doc_id, char_count=raw.char_count)
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await meta_db.increment_source_stats(source.source_id, fetched=1)
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total_fetched += 1
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logger.info(f"[{total_fetched}] {doc_id} ({raw.char_count} chars)")
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except Exception as e:
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logger.error(f"Failed: {item.url}: {e}")
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await meta_db.update_status(doc_id, FetchStatus.FAILED, error_message=str(e))
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await meta_db.increment_source_stats(source.source_id, failed=1)
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finally:
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await source.close()
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return total_fetched
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