This library allows you to write entries to a KeePass database.
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from pykeepass import PyKeePass
# load database
>>> kp = PyKeePass('db.kdbx', password='somePassw0rd')
# find any group by its name
>>> group = kp.find_groups(name='social', first=True)
# get the entries in a group
>>> group.entries
[Entry: "social/facebook (myusername)", Entry: "social/twitter (myusername)"]
# find any entry by its title
>>> entry = kp.find_entries(title='facebook', first=True)
# retrieve the associated password
>>> entry.password
's3cure_p455w0rd'
# update an entry
>>> entry.notes = 'primary facebook account'
# create a new group
>>> group = kp.add_group(kp.root_group, 'email')
# create a new entry
>>> kp.add_entry(group, 'gmail', 'myusername', 'myPassw0rdXX')
Entry: "email/gmail (myusername)"
# save database
>>> kp.save()
find_entries (title=None, username=None, password=None, url=None, notes=None, path=None, uuid=None, tags=None, string=None, group=None, recursive=True, regex=False, flags=None, history=False, first=False)
Returns entries which match all provided parameters, where title
, username
, password
, url
, notes
, path
, and autotype_sequence
are strings, string
is a dict, autotype_enabled
is a boolean, uuid
is a uuid.UUID
and tags
is a list of strings. This function has optional regex
boolean and flags
string arguments, which means to interpret search strings as XSLT style regular expressions with flags.
The path
string is a full path to an entry (ex. 'foobar_group/foobar_entry'
). This implies first=True
. All other arguments are ignored when this is given. This is useful for handling user input.
The string
dict allows for searching custom string fields. ex. {'custom_field1': 'custom value', 'custom_field2': 'custom value'}
The group
argument determines what Group
to search under, and the recursive
boolean controls whether to search recursively.
The history
(default False
) boolean controls whether history entries should be included in the search results.
The first
(default False
) boolean controls whether to return the first matched item, or a list of matched items.
- if
first=False
, the function returns a list ofEntry
s or[]
if there are no matches - if
first=True
, the function returns the firstEntry
match, orNone
if there are no matches
entries
a flattened list of all entries in the database
>>> kp.entries
[Entry: "foo_entry (myusername)", Entry: "foobar_entry (myusername)", Entry: "social/gmail (myusername)", Entry: "social/facebook (myusername)"]
>>> kp.find_entries(title='gmail', first=True)
Entry: "social/gmail (myusername)"
>>> kp.find_entries(title='foo.*', regex=True)
[Entry: "foo_entry (myusername)", Entry: "foobar_entry (myusername)"]
>>> entry = kp.find_entries(title='foo.*', url='.*facebook.*', regex=True, first=True)
>>> entry.url
'facebook.com'
>>> entry.title
'foo_entry'
>>> group = kp.find_group(name='social', first=True)
>>> kp.find_entries(title='facebook', group=group, recursive=False, first=True)
Entry: "social/facebook (myusername)"
find_groups (name=None, path=None, uuid=None, notes=None, group=None, recursive=True, regex=False, flags=None, first=False)
where name
, path
, and notes
are strings, uuid
is a uuid.UUID
. This function has optional regex
boolean and flags
string arguments, which means to interpret search strings as XSLT style regular expressions with flags.
The path
string is a full path to a group (ex. 'foobar_group/sub_group'
). This implies first=True
. All other arguments are ignored when this is given. This is useful for handling user input.
The group
argument determines what Group
to search under, and the recursive
boolean controls whether to search recursively.
The first
(default False
) boolean controls whether to return the first matched item, or a list of matched items.
- if
first=False
, the function returns a list ofGroup
s or[]
if there are no matches - if
first=True
, the function returns the firstGroup
match, orNone
if there are no matches
root_group
the Root
group to the database
groups
a flattened list of all groups in the database
>>> kp.groups
[Group: "foo", Group "foobar", Group: "social", Group: "social/foo_subgroup"]
>>> kp.find_groups(name='foo', first=True)
Group: "foo"
>>> kp.find_groups(name='foo.*', regex=True)
[Group: "foo", Group "foobar"]
>>> kp.find_groups(path='social/', regex=True)
[Group: "social", Group: "social/foo_subgroup"]
>>> kp.find_groups(name='social', first=True).subgroups
[Group: "social/foo_subgroup"]
>>> kp.root_group
Group: "/"
add_entry (destination_group, title, username, password, url=None, notes=None, tags=None, expiry_time=None, icon=None, force_creation=False)
delete_entry (entry)
move_entry (entry, destination_group)
where destination_group
is a Group
instance. entry
is an Entry
instance. title
, username
, password
, url
, notes
, tags
, icon
are strings. expiry_time
is a datetime
instance.
If expiry_time
is a naive datetime object (i.e. expiry_time.tzinfo
is not set), the timezone is retrieved from dateutil.tz.gettz()
.
# add a new entry to the Root group
>>> kp.add_entry(kp.root_group, 'testing', 'foo_user', 'passw0rd')
Entry: "testing (foo_user)"
# add a new entry to the social group
>>> group = find_groups(name='social', first=True)
>>> entry = kp.add_entry(group, 'testing', 'foo_user', 'passw0rd')
Entry: "testing (foo_user)"
# save the database
>>> kp.save()
# delete an entry
>>> kp.delete_entry(entry)
# move an entry
>>> kp.move_entry(entry, kp.root_group)
# save the database
>>> kp.save()
add_group (destination_group, group_name, icon=None, notes=None)
delete_group (group)
move_group (group, destination_group)
destination_group
and group
are instances of Group
. group_name
is a string
# add a new group to the Root group
>>> group = kp.add_group(kp.root_group, 'social')
# add a new group to the social group
>>> group2 = kp.add_group(group, 'gmail')
Group: "social/gmail"
# save the database
>>> kp.save()
# delete a group
>>> kp.delete_group(group)
# move a group
>>> kp.move_group(group2, kp.root_group)
# save the database
>>> kp.save()
In this section, binary refers to the bytes of the attached data (stored at the root level of the database), while attachment is a reference to a binary (stored in an entry). A binary can have none, one or many attachments.
add_binary (data, compressed=True, protected=True)
where data
is bytes. Adds a blob of data to the database. The attachment reference must still be added to an entry (see below). compressed
only applies to KDBX3 and protected
only applies to KDBX4. Returns id of attachment.
delete_binary (id)
where id
is an int. Removes binary data from the database and deletes any attachments that reference it. Since attachments reference binaries by their positional index, attachments that reference binaries with id > id
will automatically be decremented.
find_attachments (id=None, filename=None, element=None, recursive=True, regex=False, flags=None, history=False, first=False)
where id
is an int, filename
is a string, and element is an Entry
or Group
to search under.
- if
first=False
, the function returns a list ofAttachment
s or[]
if there are no matches - if
first=True
, the function returns the firstAttachment
match, orNone
if there are no matches
binaries
list of bytestrings containing binary data. List index corresponds to attachment id.
attachments
list containing all Attachment
s in the database.
Entry.add_attachment (id, filename)
where id
is an int and filename
is a string. Creates a reference using the given filename to a database binary. The existence of a binary with the given id is not checked. Returns Attachment
.
Entry.delete_attachment (attachment)
where attachment
is an Attachment
. Deletes a reference to a database binary.
Entry.attachments
list of Attachment
s for this Entry.
Attachment.id
id of data that this attachment points to
Attachment.filename
string representing this attachment
Attachment.data
the data that this attachment points to. Raises BinaryError
if data does not exist.
Attachment.entry
the entry that this attachment is attached to
>>> e = kp.add_entry(kp.root_group, title='foo', username='', password='')
# add attachment data to the db
>>> binary_id = kp.add_binary(b'Hello world')
>>> kp.binaries
[b'Hello world']
# add attachment reference to entry
>>> a = e.add_attachment(binary_id, 'hello.txt')
>>> a
Attachment: 'hello.txt' -> 0
# access attachments
>>> a
Attachment: 'hello.txt' -> 0
>>> a.id
0
>>> a.filename
'hello.txt'
>>> a.data
b'Hello world'
>>> e.attachments
[Attachment: 'hello.txt' -> 0]
# list all attachments in the database
>>> kp.attachments
[Attachment: 'hello.txt' -> 0]
# search attachments
>>> kp.find_attachments(filename='hello.txt')
[Attachment: 'hello.txt' -> 0]
# delete attachment reference
>>> e.delete_attachment(a)
# or, delete both attachment reference and binary
>>> kp.delete_binary(binary_id)
read (filename=None, password=None, keyfile=None, transformed_key=None)
where filename
, password
, and keyfile
are strings. filename
is the path to the database, password
is the master password string, and keyfile
is the path to the database keyfile. At least one of password
and keyfile
is required. Alternatively, the derived key can be supplied directly through transformed_key
.
Can raise CredentialsError
, HeaderChecksumError
, or PayloadChecksumError
.
save (filename=None)
where filename
is the path of the file to save to. If filename
is not given, the path given in read
will be used.
password
string containing database password. Can also be set. Use None
for no password.
keyfile
string containing path to the database keyfile. Can also be set. Use None
for no keyfile.
version
tuple containing database version. e.g. (3, 1)
is a KDBX version 3.1 database.
encryption_algorithm
string containing algorithm used to encrypt database. Possible values are aes256
, chacha20
, and twofish
.
create_database (filename, password=None, keyfile=None, transformed_key=None)
create a new database at filename
with supplied credentials. Returns PyKeePass
object
To run them issue python tests/tests.py