speech_data_recordings / clean-transcript.py
BaniGuru
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import argparse
import json
import re
from pathlib import Path
# search
# "transcript"\s*:\s*"[^"]*[^\u0A00-\u0A7F\s][^"]*"
# "transcript"\s*:\s*"[^"]*(?:ਅਾ|ੲਿ|ੲੀ|ੳੁ|ੳੂ|ੲੇ|ਅੈ|ੳੋ|ਅੌ)[^"]*"
# ੍[ਾਿੀੁੂੇੈੋੌ]
# [੍ੑਂੰਁੱ][ਾਿੀੁੂੇੈੋੌ]
# (ਪਹਿਲਾ|ਦੂਜਾ|ਤੀਜਾ|ਚੌਥਾ|ਪੰਜਵਾ|ਛੇਵਾ|ਸਤਵਾ|ਅਠਵਾ|ਨੌਵਾ|ਦਸਵਾ)(?=[\u0A00-\u0A7F])
# ॥ਪਹਿਲਾਰਹਾਉ ਦੂਜਾ
# todo: check matra split issues including ਦ੍ਰਿੜ੍ੁ
# Folder where this Python script is located
BASE_DIR = Path(__file__).resolve().parent
# Exact word/text replacements
REPLACEMENTS = {
# "ਦ੍ਰਿੜ੍ੁ": "ਦ੍ਰਿੜੑੁ",
"ਦ੍ਰਿਸਿ੍ਟ": "ਦ੍ਰਿਸ੍ਟਿ",
"ਦ੍ਰਿਸਿ†": "ਦ੍ਰਿਸ੍ਟਿ",
"ਬਿਸ†ਾ": "ਬਿਸ੍ਟਾ",
"ਸ੍ਰਿਸਿ†": "ਸ੍ਰਿਸ੍ਟਿ",
"ਸ੍ਰਿਸਿ੍ਟ": "ਸ੍ਰਿਸ੍ਟਿ",
"ਗਰਿਸ†": "ਗਰਿਸ੍ਟ",
"ਮਿਸ†": "ਮਿਸ੍ਟ",
"ਇਸ਼†": "ਇਸ਼ਟ",
"ਇਸ˜ਾਨੁ": "ਇਸ੍ਨਾਨੁ",
"ਕ੍ਰਿਸ˜ਾ": "ਕ੍ਰਿਸ੍ਨਾ",
"ਕ੍ਰਿਸ˜ੰ": "ਕ੍ਰਿਸ੍ਨੰ",
"ਕ੍ਰਿਸ˜": "ਕ੍ਰਿਸ੍ਨ",
"ਸ˜ੇਹੰ": "ਸ੍ਨੇਹੰ",
"ਸ˜ੇਹ": "ਸ੍ਨੇਹ",
"ਬੈਸ˜ਵਹ": "ਬੈਸ੍ਨਵਹ"
}
def apply_text_fixes(text):
text = text.replace('ਅਾਂ', 'ਆਂ')
text = text.replace('ਅਾ', 'ਆ')
text = text.replace('ੲੀਂ', 'ਈਂ')
text = text.replace("ˆ", "ਂ")
# halant fix
text = text.replace('ਕਾਨ੍ੁ', 'ਕਾਨੑੁ')
text = text.replace('ਚੀਨ੍ਾਂ', 'ਚੀਨੑਾਂ')
text = text.replace('ਦ੍ਰਿੜ੍ੁ', 'ਦ੍ਰਿੜੑੁ')
text = text.replace('ਕੀਨ੍ੋ', 'ਕੀਨੑੋ')
text = text.replace('ਥੰਮ੍ੁ', 'ਥੰਮੑੁ')
text = text.replace('ਪਾਨ੍ੋ', 'ਪਾਨੑੋ')
# Apply known corrections
for wrong, correct in REPLACEMENTS.items():
text = text.replace(wrong, correct)
# Collapse multiple whitespace into one space
text = re.sub(r"\s+", " ", text)
# Remove spaces from beginning and end
text = text.strip()
return text
def clean_transcript(text):
# Transcript-only cleanup
text = text.replace(",", "").replace("।", "")
text = text.replace(";", "").replace(".", "")
text = text.replace("Ø", "")
# Shared fixes
text = apply_text_fixes(text)
return text
def clean_gurmukhi(text):
# Do NOT remove punctuation from gurmukhi
text = apply_text_fixes(text)
return text
def process_file(path, clean=False):
try:
with path.open("r", encoding="utf-8") as f:
data = json.load(f)
except Exception as e:
print(f"ERROR: {path.relative_to(BASE_DIR)}")
print(f" {e}")
return 0
changed = 0
for section in data.get("sections", []):
section_id = section.get("section_id", "?")
fields = {
"transcript": clean_transcript,
"gurbani_text": clean_gurmukhi,
}
for field, cleaner in fields.items():
old_text = section.get(field)
if not isinstance(old_text, str):
continue
new_text = cleaner(old_text)
if old_text == new_text:
continue
changed += 1
print(f"\n{path.relative_to(BASE_DIR)}")
print(f" {section_id}")
print(f" FIELD: {field}")
print(f" OLD: {old_text}")
print(f" NEW: {new_text}")
if clean:
section[field] = new_text
if clean and changed:
with path.open("w", encoding="utf-8") as f:
json.dump(data, f, ensure_ascii=False, indent=2)
return changed
def main():
parser = argparse.ArgumentParser(
description="Clean transcript fields in all nested JSON files."
)
mode = parser.add_mutually_exclusive_group(required=True)
mode.add_argument(
"--dry-run",
action="store_true",
help="Show changes without modifying files",
)
mode.add_argument(
"--clean",
action="store_true",
help="Apply changes and overwrite files",
)
args = parser.parse_args()
# Recursively find JSON files in all folders below this script
files = sorted(BASE_DIR.rglob("*.json"))
if not files:
print(f"No JSON files found under: {BASE_DIR}")
return
print(f"Base folder: {BASE_DIR}")
print(f"JSON files found: {len(files)}")
total_changed = 0
files_changed = 0
for file in files:
count = process_file(file, clean=args.clean)
if count:
files_changed += 1
total_changed += count
print("\n" + "=" * 60)
if args.dry_run:
print("DRY RUN — no files were modified")
else:
print("CLEAN COMPLETE")
print(f"JSON files checked: {len(files)}")
print(f"Files with changes: {files_changed}")
print(f"Transcripts changed: {total_changed}")
if __name__ == "__main__":
main()