#!/usr/bin/env python3
"""Extract the Stackchain Magazine photo catalog into a normalized table (CSV + JSON).

Source: /root/stackchain_catalog.md (the 'vee-supply-2026-09-21' magazine transcription)
Read the whole file here; the result is evidence, not a claim.
"""
import csv
import json
import os
import re

SRC = "/root/stackchain_catalog.md"
OUT_DIR = "/root/.hermes/wizard-outputs/ledger"
OS = os.path.join(OUT_DIR, "stackchain_catalog.csv")
JS = os.path.join(OUT_DIR, "stackchain_catalog.json")

with open(SRC,encoding="utf-8") as f:
    raw = f.read()

# Split into entry blocks on '## N. <filename> — <section>' headers.
entry_re = re.compile(r"^## (\d+)\. (\S+\.\S+) — (.+)$", re.M)
parts = entry_re.split(raw)
# parts: [head, num, fname, title, body, num, fname, title, body, ...]
entries = []
for i in range(1, len(parts), 4):
    num = parts[i]
    fname = parts[i+1]
    title = parts[i+2]
    body = parts[i+3]
    # Type
    m = re.search(r"^\s*-\s*\*\*Type:\*\*\s*(.*)$", body, re.M)
    typ = m.group(1).strip() if m else ""
    # Text: capture the first fenced code block (the exact transcription)
    tm = re.search(r"```(.*?)```", body, re.S)
    text_block = tm.group(1) if tm else ""
    text_lines = [ln.strip() for ln in text_block.splitlines() if ln.strip()]
    text_preview = (text_lines[0][:160] + ("…" if len(text_lines[0]) > 160 else "")) if text_lines else ""
    # Identifiers (remainder of the Identifiers line)
    im = re.search(r"^\s*-\s*\*\*Identifiers:\*\*\s*(.*)$", body, re.M)
    ident = im.group(1).strip() if im else ""
    entries.append({
        "id": int(num),
        "filename": fname,
        "section": title.strip(),
        "type": typ,
        "text_preview": text_preview,
        "identifiers": ident,
    })

os.makedirs(OUT_DIR, exist_ok=True)

with open(OS, "w", newline="", encoding="utf-8") as f:
    w = csv.DictWriter(f, fieldnames=["id","filename","section","type","text_preview","identifiers"])
    w.writeheader()
    for e in entries:
        w.writerow(e)

with open(JS, "w", encoding="utf-8") as f:
    json.dump(entries, f, indent=2, ensure_ascii=False)

print("entries:", len(entries))
for e in entries:
    print(f"{e['id']:>2} | {e['filename']:<24} | {e['section']:<28} | {e['type']:<28} | {e['text_preview'][:60]!r}")