khoj/processor/org-mode/org-to-jsonl.py

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#!/usr/bin/env python3
# Import Modules
import orgnode
import json
import argparse
import pathlib
import glob
import gzip
# Define Functions
def dump_jsonl(jsonl_data, output_path, verbose=0):
"Write List of JSON objects to JSON line file"
with open(output_path, 'w', encoding='utf-8') as f:
f.write(jsonl_data)
if verbose > 0:
print(f'Wrote {len(jsonl_data)} records to jsonl at {output_path}')
def compress_jsonl_data(jsonl_data, output_path, verbose=0):
with gzip.open(f'{output_path}.gz', 'wt') as gzip_file:
gzip_file.write(jsonl_data)
if verbose > 0:
print(f'Wrote {len(jsonl_data)} records to gzip compressed jsonl at {output_path}.gz')
def load_jsonl(input_path, verbose=0):
"Read List of JSON objects from JSON line file"
data = []
with open(input_path, 'r', encoding='utf-8') as f:
for line in f:
data.append(json.loads(line.rstrip('\n|\r')))
if verbose > 0:
print(f'Loaded {len(data)} records from {input_path}')
return data
def get_org_files(org_directory, org_files=None, org_file_filter="*.org"):
"Get Org files to process"
expanded_org_directory = org_directory.expanduser()
filtered_org_files = {org_file
for org_file
in expanded_org_directory.glob(org_file_filter)
if not org_file.name.startswith('.')}
# Filter to User specified Org files when set by User
if org_files:
filtered_org_files = {str(org_file)
for org_file in filtered_org_files
if str(org_file.relative_to(expanded_org_directory)) in set(org_files)}
return filtered_org_files
def extract_org_entries(org_files):
"Extract entries from specified Org files"
entries = []
for org_file in org_files:
entries.extend(
orgnode.makelist(
str(org_file)))
return entries
def convert_org_entries_to_jsonl(entries, jsonl_file, verbose=0):
"Convert each org entries to json and write to jsonl file"
jsonl = ''
for entry in entries:
entry_dict = dict()
entry_dict["Title"] = entry.Heading()
if verbose > 1:
print(f"Title: {entry.Heading()}")
if entry.Tags():
tags_str = " ".join([tag for tag in entry.Tags()])
entry_dict["Tags"] = tags_str
if verbose > 1:
print(f"Tags: {tags_str}")
if entry.Body():
entry_dict["Body"] = entry.Body()
if verbose > 2:
print(f"Body: {entry.Body()}")
if entry_dict:
# Convert Dictionary to JSON and Append to JSONL string
jsonl += f'{json.dumps(entry_dict, ensure_ascii=False)}\n'
return jsonl
if __name__ == '__main__':
# Setup argument parser
parser = argparse.ArgumentParser(description="Map Org-Mode notes into JSONL format")
parser.add_argument('--jsonl-file', type=pathlib.Path, required=True, help="Output file for JSONL formatted notes")
parser.add_argument('--org-directory', default=pathlib.Path("./"), type=pathlib.Path, help="Input directory from which to retrieve Org-Mode files to convert. Default: Current directory.")
parser.add_argument('--org-files', '-f', nargs='+', help="List of org mode files to process. Requires file path relative to org_directory")
parser.add_argument('--org-file-filter', type=str, default="*.org", help="Regex filter org files in org_directory to process. Default: All org files in org_directory")
parser.add_argument('--compress', action='store_true', default=False, help="Compress output to gunzipped jsonl file")
parser.add_argument('--verbose', '-v', action='count', help="Show verbose conversion logs")
args = parser.parse_args()
# Get Org Files to Process
org_files = get_org_files(args.org_directory, args.org_files, args.org_file_filter)
# Extract Entries from specified Org files
entries = extract_org_entries(org_files)
# Process Each Entry from All Notes Files
jsonl_data = convert_org_entries_to_jsonl(entries, str(args.jsonl_file), verbose=args.verbose)
# Compress JSONL formatted Data
if args.compress:
compress_jsonl_data(jsonl_data, str(args.jsonl_file.expanduser()), verbose=args.verbose)
else:
dump_jsonl(jsonl_data, str(args.jsonl_file.expanduser()), verbose=args.verbose)