Merge pull request #4 from stonewareslord/master
Add support for KeePassXC import; Many misc improvements
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3 changed files with 144 additions and 9 deletions
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.gitignore
vendored
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.gitignore
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pass.csv
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README.md
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README.md
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# pass2csv
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Needs [python-gnupg](https://pypi.python.org/pypi/python-gnupg). Run with path
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to password store as argument.
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Needs [python-gnupg](https://pypi.python.org/pypi/python-gnupg) and python3.
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Run with path to password store as argument:
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The csv is written to `pass.csv`. The format for the KeePass Generic CSV
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Importer is:
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```
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python3 -m pip install --user python-gnupg
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python3 pass2csv.py ~/.password-store
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```
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`Group(/),Title,Password,Notes`
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There are two ways to export CSV data:
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Where 'Password' is the first line of the entry in `pass` and 'Notes' are all
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subsequent lines. '\\' should not be interpreted as an escape character.
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1. The format for the KeePass Generic CSV Importer:
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Group(/),Title,Password,Notes
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Where 'Password' is the first line of the entry in `pass` and 'Notes' are all
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subsequent lines. '\\' should not be interpreted as an escape character.
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To enable, set `KPX_FORMAT=False` in `pass2csv.py`
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2. The format for the KeePassXC Importer:
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Group(/),Title,Login,Password,URL,Notes
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Where 'Password' is the first line of the entry in `pass`, 'User' is configured
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with `LOGIN_FIELDS`, URL is extracted if `GET_URL` is set, and 'Notes' contains
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any other fields that do not match `EXCLUDE_ROWS`.
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To enable, set `KPX_FORMAT=True` and configure the variables mentioned above in
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`pass2csv.py`.
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'User' field is chosen by searching for the first field with a name in
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LOGIN_FIELDS. Once the field is found, the login is set and the field is
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removed from notes.
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### Example KeePassXC Import
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- Variable definitions (`pass2csv.py`)
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KPX_FORMAT=True
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LOGIN_FIELDS=['username', 'login', 'email']
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GET_URL=True
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EXCLUDE_ROWS=['^---$']
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- Password entry (`sites/example`)
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password123
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---
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username: user_name
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email: user@example.com
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url: example.com
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some_note
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- Output CSV row (formatted)
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sites, example, user_name, password123, example.com, "email: user@example.com\nsome_note"
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- `user_name` was chosen because `username` was the first filled entry in
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`LOGIN_FIELDS`.
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- Both logn and URL fields were excluded from the notes field because they were used
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in another field.
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- `---` Was not included in the notes field because it was matched in `EXCLUDE_ROWS`.
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### Example KeePass Generic CSV Importer
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- Variable definitions (`pass2csv.py`)
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KPX_FORMAT=False
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- Password entry: Same as above
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- Output CSV row (formatted)
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sites, example, password123, "---\nusername: user_name\nemail: user@example.com\nurl: example.com\nsome_note"
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77
pass2csv.py
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pass2csv.py
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#!/usr/bin/env python3
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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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# Set to True to allow for alternate password csv to be created
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# See README for differences
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KPX_FORMAT=True
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if KPX_FORMAT:
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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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logger.info("Using KPX format: %s", KPX_FORMAT)
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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 +30,68 @@ 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_raw):
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lines = notes_raw.split('\n')
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# A list of lines to keep as notes (will be joined by newline)
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notes = []
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# The extracted user field
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user = ''
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# The extracted URL field
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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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notes.append(line)
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return (user, url, '\n'.join(notes).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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# Perform if/else in case there are no notes for a field
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notes = split_data[1] if len(split_data) > 1 else ""
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logger.info("Processing %s" % (name,))
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if KPX_FORMAT:
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# We are using the advanced format; try extracting user and url
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user, url, notes = getMetadata(notes)
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return [group, name, user, password, url, notes]
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else:
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# We are not using KPX format; just use notes
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return [group, name, password, notes]
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def main(path):
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