Delete Cha_Json.py
Browse files- Cha_Json.py +0 -181
Cha_Json.py
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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cha2json.py โโ ๅฐๅฎไธ CLAN .cha ่ฝๆ JSON๏ผๅผทๅ %mor/%wor ๅฐ้ฝ๏ผ
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ๅช่ฆ๏ผ
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$ python3 cha2json.py
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"""
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# โโโโโโโโโโ ้ๅ
ฉ่กๆนๆไฝ ็ๅบๅฎ่ทฏๅพ โโโโโโโโโโ
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INPUT_CHA = "/workspace/SH001/website/ACWT01a(4).cha"
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OUTPUT_JSON = "/workspace/SH001/website/Output.json"
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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import re, json, sys
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from pathlib import Path
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from collections import defaultdict
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TAG_PREFIXES = ("*PAR:", "*INV:", "%mor:", "%gra:", "%wor:", "@")
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WORD_RE = re.compile(r"[A-Za-z0-9]+")
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# โโโโโโโโโโ ๅ็พฉ้ๅ๏ผๅ ้ๅฐ้ฝ๏ผ โโโโโโโโโโ
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SYN_SETS = [
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{"be", "am", "is", "are", "was", "were"},
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{"have", "has", "had"},
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{"do", "does", "did"},
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{"go", "going", "went", "gone"},
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]
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def same_syn(a, b): # ๅ่ฉๅฝไธๅๅฝขๆ
่ฆ็บ็ธๅ
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return any(a in s and b in s for s in SYN_SETS)
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def canonical(txt): # token/word โ ๆฏๅฐ็จๅญไธฒ
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head = re.split(r"[~\-\&|]", txt, 1)[0]
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m = WORD_RE.search(head)
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return m.group(0).lower() if m else ""
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def merge_multiline(block): # ๅไฝต่ทจ่ก %mor/%wor/%gra
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merged, buf = [], None
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for raw in block:
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ln = raw.rstrip("\n").replace("\x15", "")
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if ln.lstrip().startswith("%") and ":" in ln:
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if buf: merged.append(buf)
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buf = ln
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else:
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if buf and ln.strip(): buf += " " + ln.strip()
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else: merged.append(ln)
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if buf: merged.append(buf)
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return "\n".join(merged)
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# โโโโโโโโโโ ไธป่ฝๆ โโโโโโโโโโ
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def cha_to_json(lines):
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pos_map = defaultdict(lambda: len(pos_map) + 1)
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gra_map = defaultdict(lambda: len(gra_map) + 1)
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aphasia_map = defaultdict(lambda: len(aphasia_map))
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data, sent, i = [], None, 0
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while i < len(lines):
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line = lines[i]
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# --- ๆจ้ ญ / ็ตๅฐพ ---
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if line.startswith("@UTF8"):
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sent = {"sentence_id": f"S{len(data)+1}",
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"sentence_pid": None,
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"aphasia_type": None,
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"dialogues": []}
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i += 1; continue
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if line.startswith("@End"):
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if sent and sent["aphasia_type"] and sent["dialogues"]:
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data.append(sent)
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sent = None; i += 1; continue
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# --- ๅฅๅญๅฑฌๆง ---
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if sent and line.startswith("@PID:"):
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parts = line.split("\t")
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if len(parts) > 1:
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sent["sentence_pid"] = parts[1].strip()
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i += 1; continue
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if sent and line.startswith("@ID:") and "|PAR|" in line:
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aph = line.split("|")[5].strip().upper()
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aphasia_map[aph]
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sent["aphasia_type"] = aph
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i += 1; continue
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# --- ๅฐ่ฉฑ่ก ---
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if sent and (line.startswith("*INV:") or line.startswith("*PAR:")):
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role = "INV" if line.startswith("*INV:") else "PAR"
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if not sent["dialogues"]:
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sent["dialogues"].append({"INV": [], "PAR": []})
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if role == "INV" and sent["dialogues"][-1]["PAR"]:
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sent["dialogues"].append({"INV": [], "PAR": []})
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sent["dialogues"][-1][role].append(
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{"tokens": [], "word_pos_ids": [], "word_grammar_ids": [], "word_durations": []})
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i += 1; continue
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# --- %mor ---
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if sent and line.startswith("%mor:"):
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blk = [line]; i += 1
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while i < len(lines) and not lines[i].lstrip().startswith(TAG_PREFIXES):
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blk.append(lines[i]); i += 1
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units = merge_multiline(blk).replace("%mor:", "").strip().split()
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toks, pos_ids = [], []
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for u in units:
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if "|" in u:
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pos, rest = u.split("|", 1)
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toks.append(rest.split("|", 1)[0])
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pos_ids.append(pos_map[pos])
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dlg = sent["dialogues"][-1]
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tgt = dlg["PAR"][-1] if dlg["PAR"] else dlg["INV"][-1]
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tgt["tokens"], tgt["word_pos_ids"] = toks, pos_ids
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continue
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# --- %wor ---
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if sent and line.startswith("%wor:"):
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blk = [line]; i += 1
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while i < len(lines) and not lines[i].lstrip().startswith(TAG_PREFIXES):
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blk.append(lines[i]); i += 1
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merged = merge_multiline(blk).replace("%wor:", "").strip()
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raw = re.findall(r"(\S+)\s+(\d+)\D+(\d+)", merged)
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wor = [(w, int(e)-int(s)) for w,s,e in raw]
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dlg = sent["dialogues"][-1]
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tgt = dlg["PAR"][-1] if dlg["PAR"] else dlg["INV"][-1]
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aligned, j = [], 0
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for tok in tgt["tokens"]:
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c_tok = canonical(tok); match = None
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for k in range(j, len(wor)):
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c_w = canonical(wor[k][0])
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if (c_tok == c_w or c_w.startswith(c_tok) or c_tok.startswith(c_w)
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or same_syn(c_tok, c_w)):
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match = wor[k]; j = k+1; break
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aligned.append([tok, match[1] if match else 0])
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tgt["word_durations"] = aligned
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continue
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# --- %gra ---
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if sent and line.startswith("%gra:"):
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blk = [line]; i += 1
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while i < len(lines) and not lines[i].lstrip().startswith(TAG_PREFIXES):
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blk.append(lines[i]); i += 1
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units = merge_multiline(blk).replace("%gra:", "").strip().split()
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triples = []
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for u in units:
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a,b,r = u.split("|")
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if a.isdigit() and b.isdigit():
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triples.append([int(a), int(b), gra_map[r]])
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dlg = sent["dialogues"][-1]
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(dlg["PAR"][-1] if dlg["PAR"] else dlg["INV"][-1])["word_grammar_ids"] = triples
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continue
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i += 1 # ๅ
ถไป่ก
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return {"sentences": data,
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"pos_mapping": dict(pos_map),
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"grammar_mapping": dict(gra_map),
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"aphasia_types": dict(aphasia_map)}
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# โโโโโโโโโโ ๅท่ก โโโโโโโโโโ
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def main():
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in_path = Path(INPUT_CHA)
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out_path = Path(OUTPUT_JSON)
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if not in_path.exists():
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sys.exit(f"โ ๆพไธๅฐๆชๆก: {in_path}")
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with in_path.open("r", encoding="utf-8") as fh:
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lines = fh.readlines()
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dataset = cha_to_json(lines)
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out_path.parent.mkdir(parents=True, exist_ok=True)
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with out_path.open("w", encoding="utf-8") as fh:
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json.dump(dataset, fh, ensure_ascii=False, indent=4)
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print(f"โ
่ฝๆๅฎๆ โ {out_path}")
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if __name__ == "__main__":
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main()
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