Merge pull request #4 from stonewareslord/master

Add support for KeePassXC import; Many misc improvements
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Rupus Reinefjord 2018-08-16 11:31:42 +02:00 committed by GitHub
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3 changed files with 144 additions and 9 deletions

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.gitignore vendored Normal file
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pass.csv

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# pass2csv # pass2csv
Needs [python-gnupg](https://pypi.python.org/pypi/python-gnupg). Run with path Needs [python-gnupg](https://pypi.python.org/pypi/python-gnupg) and python3.
to password store as argument. Run with path to password store as argument:
The csv is written to `pass.csv`. The format for the KeePass Generic CSV ```
Importer is: python3 -m pip install --user python-gnupg
python3 pass2csv.py ~/.password-store
```
`Group(/),Title,Password,Notes` There are two ways to export CSV data:
Where 'Password' is the first line of the entry in `pass` and 'Notes' are all 1. The format for the KeePass Generic CSV Importer:
subsequent lines. '\\' should not be interpreted as an escape character.
Group(/),Title,Password,Notes
Where 'Password' is the first line of the entry in `pass` and 'Notes' are all
subsequent lines. '\\' should not be interpreted as an escape character.
To enable, set `KPX_FORMAT=False` in `pass2csv.py`
2. The format for the KeePassXC Importer:
Group(/),Title,Login,Password,URL,Notes
Where 'Password' is the first line of the entry in `pass`, 'User' is configured
with `LOGIN_FIELDS`, URL is extracted if `GET_URL` is set, and 'Notes' contains
any other fields that do not match `EXCLUDE_ROWS`.
To enable, set `KPX_FORMAT=True` and configure the variables mentioned above in
`pass2csv.py`.
'User' field is chosen by searching for the first field with a name in
LOGIN_FIELDS. Once the field is found, the login is set and the field is
removed from notes.
### Example KeePassXC Import
- Variable definitions (`pass2csv.py`)
KPX_FORMAT=True
LOGIN_FIELDS=['username', 'login', 'email']
GET_URL=True
EXCLUDE_ROWS=['^---$']
- Password entry (`sites/example`)
password123
---
username: user_name
email: user@example.com
url: example.com
some_note
- Output CSV row (formatted)
sites, example, user_name, password123, example.com, "email: user@example.com\nsome_note"
- `user_name` was chosen because `username` was the first filled entry in
`LOGIN_FIELDS`.
- Both logn and URL fields were excluded from the notes field because they were used
in another field.
- `---` Was not included in the notes field because it was matched in `EXCLUDE_ROWS`.
### Example KeePass Generic CSV Importer
- Variable definitions (`pass2csv.py`)
KPX_FORMAT=False
- Password entry: Same as above
- Output CSV row (formatted)
sites, example, password123, "---\nusername: user_name\nemail: user@example.com\nurl: example.com\nsome_note"

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pass2csv.py Normal file → Executable file
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#!/usr/bin/env python3
import csv import csv
import os import os
import sys import sys
import gnupg import gnupg
import re
import logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# Set to True to allow for alternate password csv to be created
# See README for differences
KPX_FORMAT=True
if KPX_FORMAT:
# A list of possible fields (in order) that could be converted to login fields
LOGIN_FIELDS=['login', 'user', 'username', 'email']
# Set to True to extract url fields
GET_URL=True
# A regular expression list of lines that should be excluded from the notes field
EXCLUDE_ROWS=['^---$', '^autotype ?: ?']
logger.info("Using KPX format: %s", KPX_FORMAT)
def traverse(path): def traverse(path):
for root, dirs, files in os.walk(path): for root, dirs, files in os.walk(path):
@ -11,14 +30,68 @@ def traverse(path):
for name in files: for name in files:
yield os.path.join(root, name) yield os.path.join(root, name)
def getMetadata(notes_raw):
lines = notes_raw.split('\n')
# A list of lines to keep as notes (will be joined by newline)
notes = []
# The extracted user field
user = ''
# The extracted URL field
url = ''
# This will extract each field name (for example, if a line in notes was `user: user1`, fields should contain 'user')
all_fields = set()
for line in lines:
field_search = re.search('^(.*) ?: ?.*$', line, re.I)
if field_search:
all_fields.add(field_search.group(1))
# Check if any of the fields match the login names
login_fields = [field for field in LOGIN_FIELDS if field in all_fields]
# Get the field to use for the login. Since LOGIN_FIELDS is in order, the 0th element will contain the first match
login_field = None if not login_fields else login_fields[0]
# Iterate through the file again to build the return array
for line in lines:
# If any of the exclusion patterns match, ignore the line
if len([pattern for pattern in EXCLUDE_ROWS if re.search(pattern, line, re.I)]) != 0:
continue
if login_field:
user_search = re.search('^' + login_field + ' ?: ?(.*)$', line, re.I)
if user_search:
user = user_search.group(1)
# The user was matched, don't add it to notes
continue
if GET_URL:
url_search = re.search('^url ?: ?(.*)$', line, re.I)
if url_search:
url = url_search.group(1)
# The url was matched, don't add it to notes
continue
notes.append(line)
return (user, url, '\n'.join(notes).strip())
def parse(basepath, path, data): def parse(basepath, path, data):
name = os.path.splitext(os.path.basename(path))[0] name = os.path.splitext(os.path.basename(path))[0]
group = os.path.dirname(os.path.os.path.relpath(path, basepath)) group = os.path.dirname(os.path.os.path.relpath(path, basepath))
split_data = data.split('\n', maxsplit=1) split_data = data.split('\n', maxsplit=1)
password = split_data[0] password = split_data[0]
notes = split_data[1] # Perform if/else in case there are no notes for a field
return [group, name, password, notes] notes = split_data[1] if len(split_data) > 1 else ""
logger.info("Processing %s" % (name,))
if KPX_FORMAT:
# We are using the advanced format; try extracting user and url
user, url, notes = getMetadata(notes)
return [group, name, user, password, url, notes]
else:
# We are not using KPX format; just use notes
return [group, name, password, notes]
def main(path): def main(path):