97 lines
3.1 KiB
Python
97 lines
3.1 KiB
Python
"""
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Parser d'une page individuelle de band Metal Archives.
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"""
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import hashlib
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import re
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from typing import Any, Dict, List, Optional
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from bs4 import BeautifulSoup
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def parse_band_page(html: str) -> Dict[str, Any]:
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soup = BeautifulSoup(html, "lxml")
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out: Dict[str, Any] = {}
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title = soup.find("title")
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out["title"] = _text(title)
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h1 = (
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soup.find("h1", class_=re.compile(r"band_name", re.I))
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or soup.find("h1")
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)
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out["name"] = _text(h1)
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# Bloc #band_stats : dt/dd pairs
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stats = soup.find("div", id="band_stats") or soup.find("div", id="band_info") or soup
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kv: Dict[str, str] = {}
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for dl in stats.find_all("dl"):
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for dt in dl.find_all("dt"):
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dd = dt.find_next_sibling("dd")
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k = _text(dt).rstrip(":")
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v = _text(dd)
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if k and v:
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kv[k] = v
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out["info"] = kv
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out["status"] = _pick(kv, "Status")
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out["formed_in"] = _pick(kv, "Formed in", "Formed")
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out["genre"] = _pick(kv, "Genre")
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out["themes"] = _pick(kv, "Lyrical themes", "Lyrical Themes")
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out["label"] = _pick(kv, "Current label", "Label")
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out["years_active"] = _pick(kv, "Years active")
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# Dates "Added on" / "Last modified" (souvent dans #auditTrail ou en bas de page)
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audit = soup.find(id="auditTrail") or soup.find("div", class_=re.compile(r"audit", re.I))
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if audit:
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trail_text = _text(audit)
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m_added = re.search(r"Added on:\s*([^\n,]+)", trail_text, re.I)
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m_modified = re.search(r"Last modified on:\s*([^\n,]+)", trail_text, re.I)
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out["ma_created_at"] = m_added.group(1).strip() if m_added else None
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out["ma_modified_at"] = m_modified.group(1).strip() if m_modified else None
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# Membres
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members: List[Dict] = []
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for table in soup.find_all("table"):
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cls = " ".join(table.get("class") or [])
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if "lineupTable" not in cls:
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continue
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section_el = table.find_previous(["h2", "h3"])
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section = _text(section_el) if section_el else None
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headers = [_text(th) for th in table.find_all("th")]
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for tr in table.find_all("tr")[1:]:
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tds = tr.find_all(["td", "th"])
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if not tds:
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continue
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cells = [_text(td) for td in tds]
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row = dict(zip(headers, cells)) if headers and len(headers) == len(cells) else {"cells": cells}
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if section:
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row["section"] = section
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members.append(row)
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if members:
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out["members"] = members
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# Liens externes
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links_div = soup.find("div", id="band_links")
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if links_div:
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out["links"] = [
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{"text": _text(a), "url": a["href"]}
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for a in links_div.find_all("a", href=True)
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]
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return out
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def page_hash(html: str) -> str:
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"""MD5 du HTML pour détecter les changements."""
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return hashlib.md5(html.encode()).hexdigest()
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def _text(el) -> str:
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return (el.get_text(" ", strip=True) if el else "").strip()
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def _pick(kv: Dict, *keys: str) -> Optional[str]:
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for k in keys:
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if k in kv:
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return kv[k]
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return None
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