Add advanced features
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1 changed files with 60 additions and 2 deletions
62
pass2csv.py
62
pass2csv.py
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#!/usr/bin/env python
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import csv
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import os
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import sys
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import gnupg
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import re
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import logging
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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# A list of possible fields (in order) that could be converted to login fields
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LOGIN_FIELDS=['login', 'user', 'username', 'email']
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# Set to True to extract url fields
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GET_URL=True
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# A regular expression list of lines that should be excluded from the notes field
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EXCLUDE_ROWS=['^---$', '^autotype ?: ?']
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def traverse(path):
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for root, dirs, files in os.walk(path):
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@ -11,14 +23,60 @@ def traverse(path):
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for name in files:
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yield os.path.join(root, name)
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def getMetadata(notes):
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lines = notes.split('\n')
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# A list of lines to keep as notes (will be joined by newline)
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ret = []
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user = ''
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url = ''
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# This will extract each field name (for example, if a line in notes was `user: user1`, fields should contain 'user')
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all_fields = set()
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for line in lines:
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field_search = re.search('^(.*) ?: ?.*$', line, re.I)
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if field_search:
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all_fields.add(field_search.group(1))
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# Check if any of the fields match the login names
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login_fields = [field for field in LOGIN_FIELDS if field in all_fields]
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# Get the field to use for the login. Since LOGIN_FIELDS is in order, the 0th element will contain the first match
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login_field = None if not login_fields else login_fields[0]
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# Iterate through the file again to build the return array
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for line in lines:
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# If any of the exclusion patterns match, ignore the line
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if len([pattern for pattern in EXCLUDE_ROWS if re.search(pattern, line, re.I)]) != 0:
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continue
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if login_field:
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user_search = re.search('^' + login_field + ' ?: ?(.*)$', line, re.I)
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if user_search:
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user = user_search.group(1)
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# The user was matched, don't add it to notes
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continue
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if GET_URL:
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url_search = re.search('^url ?: ?(.*)$', line, re.I)
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if url_search:
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url = url_search.group(1)
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# The url was matched, don't add it to notes
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continue
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ret.append(line)
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return (user, url, '\n'.join(ret).strip())
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def parse(basepath, path, data):
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name = os.path.splitext(os.path.basename(path))[0]
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group = os.path.dirname(os.path.os.path.relpath(path, basepath))
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split_data = data.split('\n', maxsplit=1)
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password = split_data[0]
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notes = split_data[1]
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return [group, name, password, notes]
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notes = split_data[1] if len(split_data) > 1 else ""
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user, url, notes = getMetadata(notes)
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logger.info("Processed %s" % (name,))
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return [group, name, user, password, url, notes]
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def main(path):
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