sefaria / scrape_script.py
tomersagi's picture
init data
4590a93
raw
history blame
No virus
2.25 kB
import os
import sys
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
import json
def traverse_directory(root_path, callback):
for dirpath, _, filenames in os.walk(root_path):
for filename in filenames:
file_path = os.path.join(dirpath, filename)
callback(file_path)
def process_file(file_path):
if not file_path.endswith(".txt"):
return
with open(file_path, "r", encoding="utf-8") as file:
content = file.read()
dirname = os.path.dirname(file_path)
dir_name = os.path.basename(dirname)
top_level_directory = os.path.relpath(dirname, root_directory).split(os.sep)[0]
if dir_name.lower() == "english":
append_to_parquet(content, file_path, "en", top_level_directory)
elif dir_name.lower() == "hebrew":
append_to_parquet(content, file_path, "he", top_level_directory)
def append_to_parquet(content, file_path, lang, top_level_directory):
data_dir = "data"
if not os.path.exists(data_dir):
os.makedirs(data_dir)
if lang == "en":
parquet_file = os.path.join(data_dir, f"{top_level_directory}_english.parquet")
elif lang == "he":
parquet_file = os.path.join(data_dir, f"{top_level_directory}_hebrew.parquet")
else:
return
metadata = {"file": file_path}
meta_json = json.dumps(metadata)
data = pd.DataFrame({"meta": [meta_json], "text": [content]})
table = pa.Table.from_pandas(data)
if not os.path.exists(parquet_file) or os.path.getsize(parquet_file) == 0:
with pq.ParquetWriter(parquet_file, table.schema, compression="snappy") as writer:
writer.write_table(table)
else:
pf = pq.ParquetFile(parquet_file)
old_table = pf.read()
combined_table = pa.concat_tables([old_table, table])
with pq.ParquetWriter(parquet_file, combined_table.schema, compression="snappy") as writer:
writer.write_table(combined_table)
print(f"Successfully saved: {file_path}")
if __name__ == "__main__":
if len(sys.argv) != 2:
print("Usage: python script.py <root_directory_path>")
sys.exit(1)
root_directory = sys.argv[1]
traverse_directory(root_directory, process_file)