ChessCalcNextTour/swiss_calc/parser.py

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"""
Parser for chess-results.com tournament pages.
Handles all page states:
- Before pairings: standings with completed rounds
- After pairings published: standings + next-round column
- After games played: updated standings
- art=2 pairings pages in compact format
"""
import re
import requests
from bs4 import BeautifulSoup
from typing import Optional, List, Dict, Tuple
HEADERS = {
'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36'
}
def fetch_url(url: str) -> str:
resp = requests.get(url, headers=HEADERS, timeout=20)
resp.raise_for_status()
resp.encoding = 'utf-8'
return resp.text
# ── Result parsing ────────────────────────────────────────────
def parse_result(cell: str) -> Optional[Tuple[int, str, float]]:
"""Parse a round result cell.
Returns (opponent_sno, color, score) or None.
sno=0 means bye/forfeit; color='-' means no color.
"""
cell = cell.strip()
if not cell:
return None
# Standard: '27b1', '15w½'
m = re.match(r'^(\d+)([bw])([10½=]+|0[,.]5)$', cell)
if m:
sno = int(m.group(1))
color = 'w' if m.group(2) == 'w' else 'b'
pts_str = m.group(3).replace(',', '.').replace('=', '0.5').replace('½', '0.5')
pts = float(pts_str)
return sno, color, pts
# Forfeit with opponent: '27b+'
m = re.match(r'^(\d+)([bw])([+\-])$', cell)
if m:
sno = int(m.group(1))
color = 'w' if m.group(2) == 'w' else 'b'
pts = 1.0 if m.group(3) == '+' else 0.0
return sno, color, pts
# Bye/forfeit: '-0', '-1', '-'
m = re.match(r'^-([01½]?)$', cell)
if m:
pts_str = m.group(1).replace('½', '0.5')
pts = float(pts_str) if pts_str else 0.0
return 0, '-', pts
return None
def parse_next_opponent(cell: str) -> Optional[Tuple[int, str]]:
"""Parse '4w' or '12b' — next opponent and color."""
m = re.match(r'^(\d+)([bw])$', cell.strip())
if m:
return int(m.group(1)), m.group(2)
return None
# ── Standings parsing ─────────────────────────────────────────
def _normalize_name(name: str) -> str:
"""Normalize name for matching: remove commas, collapse whitespace."""
return re.sub(r'\s+', ' ', name.replace(',', '')).strip()
def _has_cyrillic(s: str) -> bool:
return bool(re.search(r'[а-яА-ЯёЁ]', s))
def _is_player_name(t: str) -> bool:
"""Check if text looks like a player name (Latin or Cyrillic)."""
if len(t) <= 5:
return False
if re.match(r'^\d+$', t):
return False
if re.match(r'^[A-Z]{3}$', t):
return False
if re.match(r'^\d+[bw][½\d]?$', t):
return False
return bool(re.search(r'[A-Za-zА-Яа-я]', t))
def parse_standings(html: str) -> List[Dict]:
"""Parse standings from art=4 or art=5 page.
Detects player rows by: first column is a rank number,
one column has a Cyrillic name.
"""
soup = BeautifulSoup(html, 'html.parser')
players = []
tables = soup.find_all('table')
for table in tables:
rows = table.find_all('tr')
if len(rows) < 10:
continue
for row in rows:
cells = row.find_all('td')
texts = [c.get_text(strip=True) for c in cells]
if len(texts) < 6:
continue
if not texts[0].isdigit():
continue
sno = int(texts[0])
if sno < 1 or sno > 300:
continue
# Find name: look for player name (Latin or Cyrillic)
name = ''
name_idx = -1
for ci, t in enumerate(texts):
if _is_player_name(t):
name = t
name_idx = ci
break
if not name:
continue
# Federation is usually the next column, if it looks like a code
fed = ''
if name_idx + 1 < len(texts):
t = texts[name_idx + 1]
if re.match(r'^[A-Z]{3}$', t):
fed = t
# Process columns after name+federation for results and points
data_cols = texts[name_idx + (2 if fed else 1):]
results = []
next_opponent = None
next_color = None
points = 0.0
tb_values = []
found_points = False
for col in data_cols:
if not col:
continue
# Try result
res = parse_result(col)
if res:
opp, color, pts = res
results.append({'opponent': opp, 'color': color, 'score': pts})
continue
# Try next opponent
no = parse_next_opponent(col)
if no:
next_opponent, next_color = no
continue
# Points: first numeric with optional decimal after results
if re.match(r'^\d+([,.]\d)?$', col) and not found_points:
points = float(col.replace(',', '.'))
found_points = True
continue
# Tiebreakers (after points)
if found_points and re.match(r'^\d+([,.]\d+)?$', col):
tb_values.append(float(col.replace(',', '.')))
players.append({
'rank': len(players) + 1, # position in list = current rank
'name': name,
'fed': fed,
'points': points,
'starting_sno': sno, # from first column
'results': results,
'next_opponent': next_opponent,
'next_color': next_color,
'tb': tb_values,
})
if players:
break
return players
# ── Round pairings (art=2 compact format) ─────────────────────
def parse_game_row(texts: List[str], board: int) -> Optional[Dict]:
"""Parse one game row from art=2 page.
Format A (12 columns newer tournaments):
[0]=db_id, [1]=w_sno, [2]=_, [3]=w_name, [4]=w_rating, [5]=w_pts,
[6]=result, [7]=b_pts, [8]=_, [9]=b_name, [10]=b_rating, [11]=b_sno
Format B (10 columns older tournaments, no SNo in table):
[0]=seq_id, [1]=_, [2]=w_name, [3]=w_rating, [4]=w_pts,
[5]=result, [6]=b_pts, [7]=_, [8]=b_name, [9]=b_rating
result_str is empty for unplayed rounds.
"""
if len(texts) < 10:
return None
if not texts[0].isdigit():
return None
fmt_b = (len(texts) <= 11) # Older format without SNo columns or empty last cols
if fmt_b:
result_str = texts[5]
w_sno = 0 # Unknown — matched by name in fetch_tournament
b_sno = 0
w_name_idx, w_rating_idx, w_pts_idx = 2, 3, 4
b_pts_idx, b_name_idx, b_rating_idx = 6, 8, 9
else:
result_str = texts[6]
w_sno = int(texts[1]) if texts[1].isdigit() else 0
try:
b_sno = int(texts[11]) if texts[11].strip().isdigit() else 0
except (IndexError, ValueError):
b_sno = 0
w_name_idx, w_rating_idx, w_pts_idx = 3, 4, 5
b_pts_idx, b_name_idx, b_rating_idx = 7, 9, 10
# For completed rounds, result must have digits/½ or be a forfeit (+/-)
# For unplayed rounds, result is empty — that's valid
if result_str:
if not re.search(r'[\d½]', result_str) and '+ -' not in result_str and '- +' not in result_str:
return None
if not re.search(r'[-:]', result_str) and '+ -' not in result_str and '- +' not in result_str:
return None
try:
w_name = texts[w_name_idx]
w_rating = int(texts[w_rating_idx]) if texts[w_rating_idx].isdigit() else 0
w_pts = float(texts[w_pts_idx].replace(',', '.').replace('½', '.5'))
b_pts = float(texts[b_pts_idx].replace(',', '.').replace('½', '.5'))
b_name = texts[b_name_idx]
b_rating = int(texts[b_rating_idx]) if texts[b_rating_idx].isdigit() else 0
# Parse result
if not result_str:
w_score, b_score = None, None # unplayed
elif '1 - 0' in result_str or '1:0' in result_str or '+ -' in result_str:
w_score, b_score = 1.0, 0.0
elif '0 - 1' in result_str or '0:1' in result_str or '- +' in result_str:
w_score, b_score = 0.0, 1.0
else:
w_score, b_score = 0.5, 0.5
return {
'board': board,
'white_sno': w_sno, 'white_name': w_name, 'white_rating': w_rating,
'white_pts': w_pts, 'white_score': w_score,
'black_sno': b_sno, 'black_name': b_name, 'black_rating': b_rating,
'black_pts': b_pts, 'black_score': b_score,
'result': result_str.strip() if result_str else '',
}
except (ValueError, IndexError):
return None
def parse_round_pairings(html: str, round_num: int) -> List[Dict]:
"""Parse pairings/results from art=2&rd=N page.
Board number is derived from row position in the table.
"""
soup = BeautifulSoup(html, 'html.parser')
games = []
tables = soup.find_all('table')
for table in tables:
rows = table.find_all('tr')
board = 0
for row in rows:
cells = row.find_all('td')
texts = [c.get_text(strip=True) for c in cells]
if len(texts) >= 10 and texts[0].isdigit():
board += 1
game = parse_game_row(texts, board)
if game:
game['round'] = round_num
games.append(game)
if games:
break
return games
# ── Tournament meta ───────────────────────────────────────────
def extract_tournament_meta(html: str) -> dict:
"""Extract name, num_rounds, current_round."""
soup = BeautifulSoup(html, 'html.parser')
info = {'name': '', 'num_rounds': 9, 'current_round': 1}
h2 = soup.find('h2')
if h2:
info['name'] = h2.get_text(strip=True)
text = soup.get_text()
# Number of rounds
m = re.search(r'Number of rounds\s*(\d+)', text)
if m:
info['num_rounds'] = int(m.group(1))
# Current round: "Положение после тура N"
m = re.search(r'Положение после тура\s*(\d+)', text)
if m:
info['current_round'] = int(m.group(1))
else:
# Try "Round X/Y" navigation
m = re.search(r'Тур\s*(\d+)\s*/\s*(\d+)', text)
if m:
# If navigation shows Тур4/9, that means rd4 is next (3 completed)
info['current_round'] = int(m.group(1)) - 1
return info
# ── Full tournament fetch ─────────────────────────────────────
def _normalize_url(url: str) -> str:
base = re.sub(r'[&?]art=\d+', '', url)
base = re.sub(r'[&?]rd=\d+', '', base)
base = re.sub(r'[&?]turdet=\w+', '', base)
base = re.sub(r'[&?]SNode=\w+', '', base)
return base
def fetch_tournament_quick(url: str) -> dict:
"""Lightweight change-detection fetch: only art=4 (1 HTTP request).
Returns standings from the page directly (no art=2 cross-reference).
Use to check if results_count or current_round changed before doing a
full fetch_tournament() call.
"""
base_url = _normalize_url(url)
try:
html = fetch_url(base_url + '&art=4&turdet=YES')
except Exception as e:
raise RuntimeError(f'Не удалось загрузить турнир: {e}')
meta = extract_tournament_meta(html)
standings = parse_standings(html)
current_round = meta['current_round']
if standings:
max_results = max(len(s['results']) for s in standings)
if max_results > current_round:
current_round = max_results
return {
'name': meta['name'],
'num_rounds': meta['num_rounds'],
'current_round': current_round,
'standings': standings,
}
def fetch_tournament(url: str) -> dict:
"""Fetch full tournament data from any chess-results.com URL.
Detects current state automatically (any number of completed rounds).
"""
base_url = _normalize_url(url)
# Fetch standings
standings_url = base_url + '&art=4&turdet=YES'
try:
html = fetch_url(standings_url)
except Exception as e:
raise RuntimeError(f'Не удалось загрузить турнир: {e}')
meta = extract_tournament_meta(html)
standings = parse_standings(html)
if not standings:
raise RuntimeError('Не удалось распарсить таблицу положения')
# Completed rounds: use page metadata ("Положение после тура N")
current_round = meta['current_round']
# Sanity check against actual results
max_results = max(len(s['results']) for s in standings)
if current_round < 2 and max_results > current_round:
current_round = max_results
elif max_results < current_round:
current_round = max_results
# Starting list for ratings
try:
start_html = fetch_url(base_url + '&art=5&turdet=YES')
start_players = parse_start_list(start_html)
except Exception:
start_players = {}
# Match real SNo and rating from start list
# Build name→sno lookup (normalized)
name_to_sno = {}
for sno, info in start_players.items():
name_to_sno[_normalize_name(info['name'])] = sno
for s in standings:
sname = _normalize_name(s['name'])
# Try exact match first
real_sno = name_to_sno.get(sname)
if real_sno is None:
# Fuzzy: find best partial match (first+last name overlap)
sname_parts = set(sname.split())
best_sno = None
best_overlap = 0
for sl_name, sl_sno in name_to_sno.items():
sl_parts = set(sl_name.split())
overlap = len(sname_parts & sl_parts)
if overlap > best_overlap:
best_overlap = overlap
best_sno = sl_sno
real_sno = best_sno
s['starting_sno'] = real_sno if real_sno else s.get('starting_sno', s['rank'])
# Get real rating from start list
if real_sno and real_sno in start_players:
s['rating'] = start_players[real_sno].get('rating', s.get('rating', 0))
elif 'rating' not in s:
s['rating'] = 0
# Keep original results from standings as backup (for byes/forfeits)
for s in standings:
s['_orig_results'] = list(s.get('results', []))
s['results'] = [] # Clear — will rebuild from pairings
# Rebuild results from art=2 pairings (correct SNo, unlike standings cells)
sno_to_standing = {s['starting_sno']: s for s in standings if s.get('starting_sno')}
name_to_standing = {_normalize_name(s['name']): s for s in standings}
for rd in range(1, current_round + 1):
try:
rd_html = fetch_url(f'{base_url}&art=2&rd={rd}&turdet=YES')
games = parse_round_pairings(rd_html, rd)
except Exception:
continue
for g in games:
ws, bs = g['white_sno'], g['black_sno']
ws_result = g.get('white_score')
bs_result = g.get('black_score')
if ws_result is not None:
# Completed game
ws_val = float(ws_result)
bs_val = float(bs_result)
else:
# Unplayed — skip
continue
# Resolve players by SNo or name (normalized)
wp = sno_to_standing.get(ws) or name_to_standing.get(_normalize_name(g.get('white_name', '')))
bp = sno_to_standing.get(bs) or name_to_standing.get(_normalize_name(g.get('black_name', '')))
if wp:
opp_sno = bs if bs != 0 else (bp.get('starting_sno') if bp else 0)
existing = [r for r in wp.get('results', []) if r.get('round') != rd]
existing.append({'opponent': opp_sno, 'color': 'w', 'score': ws_val, 'round': rd})
wp['results'] = existing
if bp:
opp_sno = ws if ws != 0 else (wp.get('starting_sno') if wp else 0)
existing = [r for r in bp.get('results', []) if r.get('round') != rd]
existing.append({'opponent': opp_sno, 'color': 'b', 'score': bs_val, 'round': rd})
bp['results'] = existing
# For byes/forfeits not captured by pairings, use original standings results
for s in standings:
sno = s.get('starting_sno')
if sno and len(s.get('results', [])) < rd:
orig_results = s.get('_orig_results', [])
if len(orig_results) >= rd:
res = orig_results[rd - 1]
res['round'] = rd
s['results'] = list(s.get('results', []))
s['results'].append(res)
# Final pass: fill any remaining gaps from _orig_results (forfeit losers, byes)
for s in standings:
existing_rounds = {r.get('round', 0) for r in s.get('results', [])}
orig = s.get('_orig_results', [])
for ri, res in enumerate(orig):
rd_num = ri + 1
if rd_num <= current_round and rd_num not in existing_rounds:
res_copy = dict(res)
res_copy['round'] = rd_num
if res_copy.get('opponent') and res_copy['opponent'] > 0:
opp_sno = res_copy['opponent']
if opp_sno not in sno_to_standing:
for s2 in standings:
if s2['rank'] == opp_sno and s2.get('starting_sno'):
res_copy['opponent'] = s2['starting_sno']
break
s['results'].append(res_copy)
for s in standings:
s['points'] = sum(r.get('score', 0) for r in s.get('results', []))
return {
'name': meta['name'],
'num_rounds': meta['num_rounds'],
'current_round': current_round,
'players': start_players,
'standings': standings,
}
def parse_start_list(html: str) -> dict:
"""Parse starting list from art=0 or art=5 page.
Two formats supported:
1. art=0 text: SNo Name FIDE_ID National_ID FED Rating Region
2. art=5 table: SNo, Name, FED, Rating columns
"""
soup = BeautifulSoup(html, 'html.parser')
# Try art=0 text format first
text = soup.get_text()
players = {}
# Pattern: SNo (1-3 digits), Full Name (3 words), two IDs, FED, Rating
pattern = re.compile(
r'(?:^|\s)(\d{1,3})\s+'
r'([А-ЯЁ][а-яё]+\s+[А-ЯЁ][а-яё]+\s+[А-ЯЁ][а-яё]+)'
r'\s+\d+\s+\d+\s+'
r'([A-Z]{3})\s+'
r'(\d{3,4})'
)
for m in pattern.finditer(text):
sno = int(m.group(1))
name = m.group(2).strip()
fed = m.group(3)
rating = int(m.group(4))
players[sno] = {'name': name, 'rating': rating, 'fed': fed}
if len(players) >= 10:
return players
# Fallback: try art=5 table format
tables = soup.find_all('table')
for table in tables:
rows = table.find_all('tr')
data_rows = 0
for row in rows:
cells = row.find_all('td')
texts = [c.get_text(strip=True) for c in cells]
if len(texts) >= 4 and texts[0].isdigit() and any(_is_player_name(t) for t in texts):
data_rows += 1
if data_rows < 5:
continue
for row in rows:
cells = row.find_all('td')
texts = [c.get_text(strip=True) for c in cells]
if len(texts) < 4 or not texts[0].isdigit():
continue
sno = int(texts[0])
name = ''
fed = ''
rating = 0
for ci, t in enumerate(texts[1:], 1):
if _is_player_name(t) and not name:
name = t
if ci + 1 < len(texts) and re.match(r'^[A-Z]{3}$', texts[ci + 1]):
fed = texts[ci + 1]
continue
if t.isdigit() and len(t) >= 3 and not rating:
rating = int(t)
if name:
players[sno] = {'name': name, 'rating': rating, 'fed': fed}
if players:
break
return players