135 lines
5.1 KiB
Python
135 lines
5.1 KiB
Python
#!/usr/bin/env python3
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"""Ogham lexicon intersections + stamp [Огам: …] on the 1000-word catalog."""
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from __future__ import annotations
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import json
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import re
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from collections import defaultdict
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from pathlib import Path
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ROOT = Path(__file__).resolve().parents[1]
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CANON = ROOT / "oracle_enricher" / "data" / "traditions_canon.json"
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ASSET = ROOT / "assets" / "data" / "traditions_canon.json"
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LEX = ROOT / "oracle_enricher" / "data" / "lexicon.json"
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DART = ROOT / "lib" / "data" / "words_data.dart"
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HTML = ROOT / "lexicon_viewer.html"
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OGHAM_TAG_RE = re.compile(r"\[Огам:[^\]]*\]\s*")
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CLUSTERS = {
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"beith": ["начало", "рост", "лес"],
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"luis": ["защита", "взгляд", "огонь"],
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"fern": ["щит", "воин", "вода"],
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"sail": ["луна", "вода", "сон"],
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"nion": ["древо", "ось", "небо", "земля"],
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"uath": ["порог", "тайна", "защита"],
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"duir": ["сила", "дверь", "корона"],
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"tinne": ["огонь", "воин", "щит"],
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"coll": ["мудрость", "книга", "плод"],
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"ceirt": ["плод", "сад", "выбор"] if False else ["плод", "сад"],
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"muin": ["путь", "связь", "тайна"],
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"gort": ["связь", "путь", "рост"],
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"ngetal": ["удар", "путь"],
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"straif": ["тьма", "судьба", "тёрн"],
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"ruis": ["смерть", "цикл"],
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"ailm": ["свет", "взгляд", "небо"],
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"onn": ["огонь", "рост"],
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"ur": ["земля", "судьба"],
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"eadha": ["страх", "воздух"],
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"idho": ["смерть", "вечность", "цикл", "корень"],
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}
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def payload(e: dict) -> dict:
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return {
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"id": e["id"],
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"word": e["word"],
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"emoji": e.get("emoji", ""),
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"pos": e.get("pos", ""),
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"category": e.get("category", ""),
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"desc": "",
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}
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def main() -> None:
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canon = json.loads(CANON.read_text(encoding="utf-8"))
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lex = {e["word"]: e for e in json.loads(LEX.read_text(encoding="utf-8"))}
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og = canon["ogham"]
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word_to_tags: dict[str, list[str]] = defaultdict(list)
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for st in og["stations"]:
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sid = st["id"]
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prim = (st.get("primary") or {}).get("word")
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extra = []
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for w in CLUSTERS.get(sid, []):
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if w == prim or w not in lex or w in extra:
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continue
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extra.append(w)
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st["cluster"] = [payload(lex[w]) for w in extra[:6]]
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tag = f"[Огам: {st['name']}]"
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if prim:
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word_to_tags[prim].append(tag)
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for w in extra:
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word_to_tags[w].append(tag)
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og["description"] = (
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"20 священных fews (деревьев) в 4 аикмах. Значения с oghamlore, Druid Ogham "
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"и пересечения со словарём 999. Сочетания в раскладе — соседство fews."
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)
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text = json.dumps(canon, ensure_ascii=False, indent=2) + "\n"
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CANON.write_text(text, encoding="utf-8")
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ASSET.write_text(text, encoding="utf-8")
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dart_lines = DART.read_text(encoding="utf-8").splitlines(keepends=True)
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i = 0
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while i < len(dart_lines):
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wm = re.match(r'(\s*word: ")([^"]+)(",\s*)$', dart_lines[i])
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if wm:
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word = wm.group(2)
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for j in range(i + 1, min(i + 12, len(dart_lines))):
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raw = dart_lines[j].rstrip("\n")
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dm = re.match(r'^(\s*description: ")(.*)(",)\s*$', raw)
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if dm:
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body = OGHAM_TAG_RE.sub("", dm.group(2)).strip()
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tags = word_to_tags.get(word)
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if tags:
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dart_lines[j] = f"{dm.group(1)}{' '.join(tags)} {body}{dm.group(3)}\n"
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else:
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dart_lines[j] = f"{dm.group(1)}{body}{dm.group(3)}\n"
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break
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if dart_lines[j].strip().startswith("WordItem("):
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break
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i += 1
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dart2 = "".join(dart_lines)
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DART.write_text(dart2, encoding="utf-8")
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html = HTML.read_text(encoding="utf-8")
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start = html.find(" const TRADITIONS_CANON = ")
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end = html.find(" const WORDS_DATA = ")
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if start > 0 and end > start:
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html = (
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html[:start]
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+ " const TRADITIONS_CANON = "
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+ json.dumps(canon, ensure_ascii=False, indent=2)
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+ ";\n\n"
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+ html[end:]
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)
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m = re.search(r"const WORDS_DATA = (\[.*?\]);", html, flags=re.DOTALL)
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if m:
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words = json.loads(m.group(1))
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dart_descs = dict(re.findall(r'word: "([^"]+)"[\s\S]*?description: "([^"]*)"', dart2))
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for w in words:
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if w.get("word") in dart_descs:
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w["description"] = dart_descs[w["word"]]
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html = html[: m.start(1)] + json.dumps(words, ensure_ascii=False) + html[m.end(1) :]
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HTML.write_text(html, encoding="utf-8")
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print("ogham stations", len(og["stations"]), "words tagged", len(word_to_tags))
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for st in og["stations"]:
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print(f" {st['id']:10} prim={(st.get('primary') or {}).get('word')} cl={[x['word'] for x in st['cluster']]}")
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if __name__ == "__main__":
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main()
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