wiki-agentandClaude Opus 4.6
f06d84a003
Scraped all 31 Dongguan sub-regions using sortField=2 (end-time ascending) to bypass JD's ~4000-item API cap. Merged 34 CSV files by paimaiId into 24,949 unique records covering 2017-07 to 2026-11. Key findings: - 上架量 grew ~50x: 98 (2017) → 4,813 (2026) - 流拍率 peaked at 81.6% (2024), eased to 67.4% (2026) - 樟木头: 558 records, failure rate peaked 94.2% (2024) - 塘厦: 205 records, 2026 failure rate 51.0% Includes: scrape_history.py, batch_scrape_towns.sh, analyze_trends.py, yearly_stats.py, and updated SKILL.md + url_structure.md documenting the 4000-item cap and sub-region scraping strategy. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
521 lines
18 KiB
Python
521 lines
18 KiB
Python
#!/usr/bin/env python3
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"""
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Generate trend analysis HTML from JD法拍 CSV files.
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Reads all *_法拍房源*.csv files in output/法拍/, merges by paimaiId,
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computes monthly trends (上架量/流拍量), and generates an interactive HTML chart.
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"""
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import csv
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import json
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import os
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import glob
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from collections import Counter
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CSV_DIR = "output/法拍"
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OUTPUT_HTML = os.path.join(CSV_DIR, "东莞法拍房趋势分析.html")
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def read_all_csvs(csv_dir):
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all_items = {}
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csv_files = glob.glob(os.path.join(csv_dir, "*_法拍房源*.csv"))
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for csv_path in csv_files:
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try:
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with open(csv_path, encoding="utf-8-sig") as f:
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reader = csv.DictReader(f)
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for row in reader:
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pid = row.get("拍卖ID", "")
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if not pid:
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continue
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if pid not in all_items:
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all_items[pid] = row
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else:
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existing = all_items[pid]
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if row.get("结束时间") and not existing.get("结束时间"):
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all_items[pid] = row
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except Exception as e:
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print(f"Warning: failed to read {csv_path}: {e}")
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return list(all_items.values())
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def compute_monthly_trends(items, region_filter=None):
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if region_filter:
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items = [r for r in items if region_filter in r.get("标题", "")]
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listed_by_month = Counter()
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failed_by_month = Counter()
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ended_by_month = Counter()
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for r in items:
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start = r.get("开始时间", "")[:7]
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end = r.get("结束时间", "")[:7]
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status = r.get("状态", "")
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bid_count = r.get("出价次数", "")
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if start:
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listed_by_month[start] += 1
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if end and status == "已结束":
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ended_by_month[end] += 1
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if bid_count in ("0", ""):
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failed_by_month[end] += 1
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month_set = (
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set(listed_by_month.keys())
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| set(ended_by_month.keys())
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| set(failed_by_month.keys())
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)
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if not month_set:
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return []
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all_months = sorted(month_set)
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start_m = all_months[0]
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end_m = all_months[-1]
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full_months = []
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y, m = int(start_m[:4]), int(start_m[5:7])
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ey, em = int(end_m[:4]), int(end_m[5:7])
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while (y, m) <= (ey, em):
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full_months.append(f"{y:04d}-{m:02d}")
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m += 1
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if m > 12:
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m = 1
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y += 1
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results = []
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for month in full_months:
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listed = listed_by_month.get(month, 0)
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failed = failed_by_month.get(month, 0)
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ended = ended_by_month.get(month, 0)
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rate = round(failed / ended * 100, 1) if ended > 0 else None
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results.append(
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{
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"month": month,
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"listed": listed,
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"failed": failed,
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"ended": ended,
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"rate": rate,
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}
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)
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return results
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def generate_svg(data, panel_idx):
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n = len(data)
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if n == 0:
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return "<svg></svg>"
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W, H = 1120, 240
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padL, padR, padT, padB = 52, 24, 16, 40
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plotW = W - padL - padR
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plotH = H - padT - padB
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max_val = max((max(d["listed"], d["failed"]) for d in data), default=1)
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max_val = max(max_val, 5)
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y_ticks = 5
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y_step_val = max_val / y_ticks if max_val > 0 else 1
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def y_pos(val):
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if max_val == 0:
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return padT + plotH
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return padT + plotH - (val / max_val) * plotH
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def x_pos(i):
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if n == 1:
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return padL + plotW / 2
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return padL + (i / (n - 1)) * plotW
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svg_parts = []
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# Y-axis grid lines and labels
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for t in range(y_ticks + 1):
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val = t * y_step_val
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y = y_pos(val)
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svg_parts.append(
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f'<line x1="{padL}" y1="{y:.1f}" x2="{W-padR}" y2="{y:.1f}" '
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f'stroke="var(--gridline)" stroke-width="1"/>'
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)
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svg_parts.append(
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f'<text x="{padL-8}" y="{y+4:.1f}" text-anchor="end" font-size="11" '
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f'fill="var(--text-muted)" font-family="system-ui" '
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f'font-variant-numeric="tabular-nums">{int(val)}</text>'
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)
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# X-axis labels (year markers)
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prev_year = None
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for i, d in enumerate(data):
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year = d["month"][:4]
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if year != prev_year:
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x = x_pos(i)
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svg_parts.append(
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f'<text x="{x:.1f}" y="{H-12}" text-anchor="middle" font-size="11" '
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f'fill="var(--text-muted)" font-family="system-ui">{year}</text>'
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)
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if prev_year is not None:
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svg_parts.append(
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f'<line x1="{x:.1f}" y1="{padT}" x2="{x:.1f}" y2="{padT+plotH}" '
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f'stroke="var(--gridline)" stroke-width="0.5" stroke-dasharray="2 4"/>'
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)
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prev_year = year
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# Axis line
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svg_parts.append(
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f'<line x1="{padL}" y1="{padT+plotH}" x2="{W-padR}" y2="{padT+plotH}" '
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f'stroke="var(--axis-line)" stroke-width="1"/>'
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)
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# Area fill for listed (blue)
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area_pts = [f"{x_pos(0):.1f},{y_pos(data[0]['listed']):.1f}"]
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for i, d in enumerate(data):
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area_pts.append(f"{x_pos(i):.1f},{y_pos(d['listed']):.1f}")
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area_pts.append(f"{x_pos(n-1):.1f},{padT+plotH:.1f}")
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area_pts.append(f"{x_pos(0):.1f},{padT+plotH:.1f}")
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svg_parts.append(
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f'<path d="M{" L".join(area_pts)} Z" fill="var(--series-1)" opacity="0.06"/>'
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)
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# Area fill for failed (orange)
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area_pts2 = [f"{x_pos(0):.1f},{y_pos(data[0]['failed']):.1f}"]
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for i, d in enumerate(data):
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area_pts2.append(f"{x_pos(i):.1f},{y_pos(d['failed']):.1f}")
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area_pts2.append(f"{x_pos(n-1):.1f},{padT+plotH:.1f}")
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area_pts2.append(f"{x_pos(0):.1f},{padT+plotH:.1f}")
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svg_parts.append(
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f'<path d="M{" L".join(area_pts2)} Z" fill="var(--series-2)" opacity="0.06"/>'
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)
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# Line for listed
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line_pts = [f"{x_pos(i):.1f},{y_pos(d['listed']):.1f}" for i, d in enumerate(data)]
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svg_parts.append(
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f'<path d="M{" L".join(line_pts)}" fill="none" stroke="var(--series-1)" '
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f'stroke-width="1.5" stroke-linejoin="round" stroke-linecap="round"/>'
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)
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# Line for failed
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line_pts2 = [f"{x_pos(i):.1f},{y_pos(d['failed']):.1f}" for i, d in enumerate(data)]
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svg_parts.append(
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f'<path d="M{" L".join(line_pts2)}" fill="none" stroke="var(--series-2)" '
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f'stroke-width="1.5" stroke-linejoin="round" stroke-linecap="round"/>'
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)
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# Data point circles + hit areas
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hit_w = plotW / n
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for i, d in enumerate(data):
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x = x_pos(i)
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y1 = y_pos(d["listed"])
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y2 = y_pos(d["failed"])
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r = 2.5 if n > 50 else 3.5
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svg_parts.append(
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f'<circle cx="{x:.1f}" cy="{y1:.1f}" r="{r}" fill="var(--series-1)" '
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f'stroke="var(--surface-1)" stroke-width="1.5"/>'
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)
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svg_parts.append(
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f'<circle cx="{x:.1f}" cy="{y2:.1f}" r="{r}" fill="var(--series-2)" '
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f'stroke="var(--surface-1)" stroke-width="1.5"/>'
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)
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hx = x - hit_w / 2
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svg_parts.append(
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f'<rect x="{hx:.1f}" y="{padT}" width="{hit_w:.1f}" height="{plotH}" '
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f'fill="transparent" class="hit" data-idx="{i}"/>'
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)
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# Last point data labels
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last = data[-1]
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lx = x_pos(n - 1)
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svg_parts.append(
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f'<text x="{lx-6:.1f}" y="{y_pos(last["listed"])-8:.1f}" text-anchor="end" '
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f'font-size="11" fill="var(--text-primary)" font-family="system-ui" '
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f'font-variant-numeric="tabular-nums" font-weight="600">{last["listed"]}</text>'
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)
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if last["failed"] > 0:
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svg_parts.append(
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f'<text x="{lx-6:.1f}" y="{y_pos(last["failed"])+14:.1f}" text-anchor="end" '
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f'font-size="11" fill="var(--text-primary)" font-family="system-ui" '
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f'font-variant-numeric="tabular-nums">{last["failed"]}</text>'
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)
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# Crosshair
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svg_parts.append(
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f'<line class="crosshair" x1="0" y1="{padT}" x2="0" y2="{padT+plotH}" '
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f'stroke="var(--text-muted)" stroke-width="1" stroke-dasharray="3 3" opacity="0"/>'
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)
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return (
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f'<svg viewBox="0 0 {W} {H}" width="100%" height="{H}">'
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+ "".join(svg_parts)
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+ "</svg>"
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)
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def generate_table_row_html(region, data):
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rows = [f'<tr class="group-header"><td colspan="6">{region}（共 {len(data)} 个月）</td></tr>']
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for d in data:
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rate_str = f'{d["rate"]:.1f}%' if d["rate"] is not None else "—"
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rows.append(
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f'<tr><td></td><td style="text-align:left">{d["month"]}</td>'
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f'<td>{d["listed"]}</td><td>{d["failed"]}</td>'
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f'<td>{d["ended"]}</td><td>{rate_str}</td></tr>'
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)
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return "\n".join(rows)
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def generate_html(panels, items_count):
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svgs = {}
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for key, data in panels.items():
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idx = list(panels.keys()).index(key)
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svgs[key] = generate_svg(data, idx)
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data_json = json.dumps(panels, ensure_ascii=False)
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panel_keys = list(panels.keys())
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# Date range
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all_months = []
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for data in panels.values():
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all_months.extend([d["month"] for d in data])
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date_range = f"{min(all_months)} – {max(all_months)}" if all_months else ""
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# Sample counts
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sample_counts = {}
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for key in panel_keys:
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if key == "东莞全市":
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sample_counts[key] = items_count
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else:
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sample_counts[key] = sum(
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1 for d in panels[key] for _ in range(d["listed"])
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)
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table_html = "\n".join(
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generate_table_row_html(key, data) for key, data in panels.items()
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)
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panel_html = ""
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for i, key in enumerate(panel_keys):
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subtitle = f"样本量 {sample_counts[key]} 套" if key != "东莞全市" else f"全市法拍住宅 · 共 {items_count} 条记录"
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panel_html += f"""
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<div class="panel">
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<div class="panel-header">
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<span class="panel-title">{key}</span>
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<span class="panel-subtitle">{subtitle}</span>
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</div>
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<div class="chart-wrap" id="panel-{i}">
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{svgs[key]}
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<div class="tooltip" id="tooltip-{i}"></div>
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</div>
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</div>"""
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html = f"""<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>东莞法拍房上架量与流拍量趋势</title>
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<style>
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.viz-root {{
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color-scheme: light;
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--surface-1: #fcfcfb;
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--page-plane: #f9f9f7;
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--text-primary: #0b0b0b;
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--text-secondary: #52514e;
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--text-muted: #898781;
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--gridline: #e1e0d9;
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--axis-line: #c3c2b7;
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--series-1: #2a78d6;
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--series-2: #eb6834;
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--border-ring: rgba(11,11,11,0.10);
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}}
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@media (prefers-color-scheme: dark) {{
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:root:where(:not([data-theme="light"])) .viz-root {{
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color-scheme: dark;
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--surface-1: #1a1a19;
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--page-plane: #0d0d0d;
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--text-primary: #ffffff;
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--text-secondary: #c3c2b7;
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--text-muted: #898781;
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--gridline: #2c2c2a;
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--axis-line: #383835;
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--series-1: #3987e5;
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--series-2: #d95926;
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--border-ring: rgba(255,255,255,0.10);
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}}
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}}
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* {{ margin: 0; padding: 0; box-sizing: border-box; }}
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body {{
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background: var(--page-plane);
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font-family: system-ui, -apple-system, "Segoe UI", sans-serif;
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color: var(--text-primary);
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padding: 32px 24px;
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line-height: 1.5;
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}}
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.viz-root {{
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max-width: 1200px;
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margin: 0 auto;
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background: var(--surface-1);
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border-radius: 8px;
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padding: 36px 40px 40px;
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}}
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h1 {{ font-size: 20px; font-weight: 600; margin-bottom: 6px; }}
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.subtitle {{ font-size: 13px; color: var(--text-secondary); margin-bottom: 28px; }}
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.legend {{ display: flex; gap: 24px; margin-bottom: 24px; font-size: 13px; color: var(--text-secondary); }}
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.legend-item {{ display: flex; align-items: center; gap: 8px; }}
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.legend-swatch {{ width: 20px; height: 3px; border-radius: 2px; }}
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.legend-swatch.s1 {{ background: var(--series-1); }}
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.legend-swatch.s2 {{ background: var(--series-2); }}
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.panels {{ display: grid; grid-template-columns: 1fr; gap: 36px; }}
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.panel {{ border-top: 1px solid var(--border-ring); padding-top: 20px; }}
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.panel:first-child {{ border-top: none; padding-top: 0; }}
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.panel-header {{ display: flex; justify-content: space-between; align-items: baseline; margin-bottom: 14px; }}
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.panel-title {{ font-size: 15px; font-weight: 600; }}
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.panel-subtitle {{ font-size: 12px; color: var(--text-muted); }}
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.chart-wrap {{ position: relative; overflow-x: auto; }}
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svg {{ display: block; width: 100%; min-width: 600px; height: auto; overflow: visible; }}
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.tooltip {{
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position: absolute; pointer-events: none;
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background: var(--surface-1);
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border: 1px solid var(--border-ring);
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border-radius: 6px;
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padding: 10px 14px;
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font-size: 12px;
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color: var(--text-primary);
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box-shadow: 0 4px 12px rgba(0,0,0,0.08);
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opacity: 0;
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transition: opacity 0.12s;
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z-index: 10;
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white-space: nowrap;
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}}
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.tt-month {{ font-weight: 600; margin-bottom: 6px; }}
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.tt-row {{ display: flex; justify-content: space-between; gap: 16px; margin-bottom: 2px; }}
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.tt-row span {{ display: flex; align-items: center; gap: 6px; }}
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.tt-dot {{ width: 8px; height: 8px; border-radius: 50%; display: inline-block; }}
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.tt-val {{ font-variant-numeric: tabular-nums; }}
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.note {{ font-size: 12px; color: var(--text-muted); margin-top: 24px; line-height: 1.6; }}
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.data-table-wrap {{ margin-top: 28px; }}
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.data-table-toggle {{
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font-size: 13px; color: var(--series-1); cursor: pointer;
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background: none; border: none; padding: 4px 0;
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font-family: inherit;
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}}
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.data-table {{
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max-height: 0; overflow: hidden; transition: max-height 0.3s;
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margin-top: 12px;
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}}
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.data-table.visible {{ max-height: 600px; overflow-y: auto; }}
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.data-table table {{ width: 100%; border-collapse: collapse; font-size: 12px; }}
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.data-table th, .data-table td {{ padding: 6px 10px; text-align: right; border-bottom: 1px solid var(--gridline); }}
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.data-table th {{ color: var(--text-secondary); font-weight: 600; }}
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.data-table td:first-child, .data-table th:first-child {{ text-align: left; }}
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.data-table tr.group-header td {{ font-weight: 600; color: var(--text-primary); background: var(--page-plane); }}
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</style>
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</head>
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<body>
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<div class="viz-root">
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<h1>东莞法拍房上架量与流拍量趋势</h1>
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<p class="subtitle">{date_range} · 按拍卖开始时间月度汇总 · 流拍 = 已结束且出价次数为0</p>
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<div class="legend">
|
||
<div class="legend-item"><span class="legend-swatch s1"></span>上架量</div>
|
||
<div class="legend-item"><span class="legend-swatch s2"></span>流拍量</div>
|
||
</div>
|
||
|
||
<div class="panels">
|
||
{panel_html}
|
||
</div>
|
||
|
||
<p class="note">
|
||
注：上架量按「开始时间」归入对应月份，流拍量按「结束时间」归入对应月份。流拍率 = 流拍量 / 已结束量。近期月份（最近2-3个月）的已结束量和流拍量可能不完整（部分拍卖尚未结束）。
|
||
</p>
|
||
|
||
<div class="data-table-wrap">
|
||
<button class="data-table-toggle" id="tableToggle">显示/隐藏数据表</button>
|
||
<div class="data-table" id="dataTable">
|
||
<table>
|
||
<thead><tr><th>区域</th><th>月份</th><th>上架量</th><th>流拍量</th><th>已结束</th><th>流拍率</th></tr></thead>
|
||
<tbody>
|
||
{table_html}
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<script>
|
||
const DATA = {data_json};
|
||
const PANEL_KEYS = {json.dumps(panel_keys, ensure_ascii=False)};
|
||
|
||
function getCss(prop) {{
|
||
const root = document.querySelector('.viz-root');
|
||
return getComputedStyle(root).getPropertyValue(prop).trim();
|
||
}}
|
||
|
||
function setupPanel(key, idx) {{
|
||
const wrap = document.getElementById('panel-' + idx);
|
||
const svg = wrap.querySelector('svg');
|
||
const crosshair = wrap.querySelector('.crosshair');
|
||
const tt = document.getElementById('tooltip-' + idx);
|
||
const data = DATA[key];
|
||
if (!data || data.length === 0) return;
|
||
|
||
function showTooltip(i) {{
|
||
const d = data[i];
|
||
if (!d) return;
|
||
const s1 = getCss('--series-1') || '#2a78d6';
|
||
const s2 = getCss('--series-2') || '#eb6834';
|
||
tt.innerHTML =
|
||
'<div class="tt-month">' + d.month + '</div>' +
|
||
'<div class="tt-row"><span><span class="tt-dot" style="background:' + s1 + '"></span>上架量</span><span class="tt-val">' + d.listed + ' 套</span></div>' +
|
||
'<div class="tt-row"><span><span class="tt-dot" style="background:' + s2 + '"></span>流拍量</span><span class="tt-val">' + d.failed + ' 套</span></div>' +
|
||
'<div class="tt-row"><span>已结束</span><span class="tt-val">' + d.ended + ' 套</span></div>' +
|
||
'<div class="tt-row"><span>流拍率</span><span class="tt-val">' + (d.rate !== null ? d.rate + '%' : '—') + '</span></div>';
|
||
const rect = svg.getBoundingClientRect();
|
||
const viewBox = svg.viewBox.baseVal;
|
||
const scaleX = rect.width / viewBox.width;
|
||
const hitEl = wrap.querySelectorAll('.hit')[i];
|
||
const hitRect = hitEl.getBoundingClientRect();
|
||
tt.style.left = (hitRect.left - rect.left + hitRect.width / 2 + 12) + 'px';
|
||
tt.style.top = '10px';
|
||
tt.style.opacity = 1;
|
||
const cx = parseFloat(hitEl.getAttribute('x')) + parseFloat(hitEl.getAttribute('width')) / 2;
|
||
crosshair.setAttribute('x1', cx);
|
||
crosshair.setAttribute('x2', cx);
|
||
crosshair.style.opacity = 1;
|
||
}}
|
||
|
||
function hide() {{
|
||
tt.style.opacity = 0;
|
||
crosshair.style.opacity = 0;
|
||
}}
|
||
|
||
wrap.querySelectorAll('.hit').forEach(hit => {{
|
||
hit.addEventListener('mouseenter', () => showTooltip(parseInt(hit.dataset.idx)));
|
||
hit.addEventListener('mouseleave', hide);
|
||
}});
|
||
}}
|
||
|
||
PANEL_KEYS.forEach((k, i) => setupPanel(k, i));
|
||
|
||
document.getElementById('tableToggle').addEventListener('click', () => {{
|
||
document.getElementById('dataTable').classList.toggle('visible');
|
||
}});
|
||
</script>
|
||
</body>
|
||
</html>"""
|
||
|
||
with open(OUTPUT_HTML, "w", encoding="utf-8") as f:
|
||
f.write(html)
|
||
print(f"Generated: {OUTPUT_HTML}")
|
||
for key, data in panels.items():
|
||
total_listed = sum(d["listed"] for d in data)
|
||
total_failed = sum(d["failed"] for d in data)
|
||
print(f" {key}: {len(data)} months, {total_listed} listed, {total_failed} failed")
|
||
|
||
|
||
if __name__ == "__main__":
|
||
items = read_all_csvs(CSV_DIR)
|
||
print(f"Total unique items: {len(items)}")
|
||
|
||
panels = {
|
||
"东莞全市": compute_monthly_trends(items),
|
||
"樟木头": compute_monthly_trends(items, "樟木头"),
|
||
"塘厦": compute_monthly_trends(items, "塘厦"),
|
||
}
|
||
|
||
generate_html(panels, len(items))
|