108 lines
4.7 KiB
Python
108 lines
4.7 KiB
Python
# -*- coding: utf-8 -*-
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"""P3-MD: Markdown language inventory classifier (documentation-only, read-only).
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Counts Indonesian vs English stopword/prose markers per .md file and classifies:
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ENGLISH / PARTIALLY ENGLISH / NON-ENGLISH / CODE-ONLY
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Writes inventory JSON (path, tree, size, language, score, status).
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"""
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import os
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import json
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import re
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TREES = {
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"FORGE_REPO": r"D:\TradingTerminal\HFM Metatrader 5\MQL5\Shared Projects\AlgoForge\publish\AlgoForge",
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"WORKING_COPY": r"D:\TradingTerminal\HFM Metatrader 5\MQL5\Shared Projects\AlgoForge",
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"LEGACY": r"D:\TradingTerminal\HFM Metatrader 5\MQL5\Shared Projects\SniperGold_ML",
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}
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ID = [
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"yang", "dan", "untuk", "dengan", "pada", "dari", "tidak", "adalah", "ini",
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"akan", "telah", "dapat", "harus", "bahwa", "atau", "sebagai", "setelah",
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"sebelum", "karena", "namun", "tetapi", "antara", "terhadap", "dilakukan",
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"menggunakan", "terdapat", "menjadi", "berdasarkan", "sesuai", "terkait",
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"melalui", "tanpa", "sudah", "juga", "masih", "lebih", "sangat", "berikut",
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"sekitar", "hingga", "sampai", "semua", "beberapa", "setiap", "saat",
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"ketika", "jika", "misalnya", "contoh", "catatan", "kesimpulan", "temuan",
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"hasil", "tujuan", "bukti", "perlu", "bila", "bukan", "seluruh", "dalam",
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"kembali", "diubah", "diperbaiki", "terverifikasi", "diverifikasi",
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"dokumentasi", "penelitian", "sesi", "tanggal", "status", "disimpulkan",
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"karena", "wajib", "jangan", "silahkan", "lihat", "pakai", "memakai",
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"sama", "berbeda", "dibuat", "dihitung", "dipakai", "utk", "thd", "dgn",
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"pd", "utk", "sbg", "tdk", "krn", "sbb", "dst", "dll", "yaitu", "yakni",
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"tersebut", "tersebut", "berikutnya", "sebelumnya", "kini", "saat ini",
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"awal", "akhir", "langkah", "bagian", "bab", "subbab", "ringkasan",
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"lampiran", "catatan", "terlampir", "pengujian", "pengujian", "uji",
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"kasus", "sampel", "populasi", "rerata", "median", "persentase", "rata",
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"grafik", "tabel", "gambar", "laporan", "handover", "checkpoint",
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]
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EN = [
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"the", "and", "for", "with", "this", "that", "from", "not", "are", "will",
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"have", "has", "can", "must", "should", "between", "against", "using",
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"based", "according", "through", "without", "also", "still", "more",
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"following", "around", "until", "all", "some", "every", "when", "if",
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"example", "note", "conclusion", "finding", "result", "objective",
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"evidence", "verified", "confirmed", "documentation", "research",
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"session", "date", "status", "concluded", "summary", "appendix",
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"testing", "test", "case", "sample", "population", "median", "table",
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"figure", "report", "analysis", "audit", "specification", "conformance",
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]
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def classify(path):
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with open(path, "r", encoding="utf-8", errors="replace") as f:
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text = f.read()
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# strip code fences
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no_code = re.sub(r"```.*?```", " ", text, flags=re.S)
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# strip inline code
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no_code = re.sub(r"`[^`]*`", " ", no_code)
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words = re.findall(r"[A-Za-z]{3,}", no_code.lower())
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n_id = sum(1 for w in words if w in ID)
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n_en = sum(1 for w in words if w in EN)
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total = len(words)
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score = (n_id - n_en) / max(1, total) * 1000.0 # per-mille
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if total < 30:
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lang = "CODE-ONLY" if score < 5 else "NON-ENGLISH"
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elif score <= 2:
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lang = "ENGLISH"
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elif score <= 8:
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lang = "PARTIALLY ENGLISH"
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else:
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lang = "NON-ENGLISH"
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return lang, score, total, n_id, n_en
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def main():
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rows = []
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for tree, root in TREES.items():
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for dirpath, _dirs, files in os.walk(root):
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if ".git" in dirpath:
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continue
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for fn in files:
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if fn.lower().endswith(".md"):
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p = os.path.join(dirpath, fn)
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size = os.path.getsize(p)
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lang, score, total, nid, nen = classify(p)
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rows.append({
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"tree": tree,
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"path": os.path.relpath(p, root),
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"size": size,
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"language": lang,
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"score_permille": round(score, 2),
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"words": total,
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"id_words": nid,
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"en_words": nen,
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})
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rows.sort(key=lambda r: (r["tree"], r["path"]))
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out = os.path.join(os.path.dirname(os.path.abspath(__file__)),
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"..", "..", "output", "md_language_inventory.json")
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os.makedirs(os.path.dirname(out), exist_ok=True)
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with open(out, "w", encoding="utf-8") as f:
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json.dump(rows, f, indent=2)
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for r in rows:
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print(f"{r['tree']:<14} {r['language']:<18} {r['score_permille']:>8} "
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f"{r['path']}")
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print(f"\nTOTAL {len(rows)} files -> {out}")
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if __name__ == "__main__":
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main()
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