Python API

Introductory Examples

Access an Account Value

There are times where you might want to access an account value using a single string that contains both the account and the field name, as shown in this example:

from avendesora import PasswordGenerator, PasswordError

access_key_in_avendesora = 'iexcloud:api_key'
try:
    pw = PasswordGenerator()
    api_key = str(pw.get_value(access_key_in_avendesora))
except PasswordError as e:
    e.terminate()

Access Several Values for a Particular Account

You can access account information from Avendesora using Python using a simple relatively high-level interface as shown in this example:

from avendesora import PasswordGenerator, PasswordError
from inform import display, fatal, os_error
from shlib import Run
from pathlib import Path

try:
    pw = PasswordGenerator()
    account = pw.get_account('mybank')
    name = account.get_value('name')
    username = account.get_username()
    passcode = account.get_passcode()
    url = account.get_value('ofxurl')
except PasswordError as e:
    e.terminate()

try:
    curl = Run(
        f'curl -K - {url!s}',
        stdin = f'user="{username!s}:{passcode!s}"',
        modes='sOEW0'
    )
    Path(f'{name!s}.ofx').write_text(curl.stdout)
except OSError as e:
    fatal(os_error(e))

Basically, the approach is to open the password generator, open an account, and then access values of that account. The various components of the Avendesora programming interface are described next.

Using an Account Value

Both of the two examples given above us an get_value method, but they are methods to two different classes. In the first example, get_value is a method of the avendesora.PasswordGenerator class; it requires you to specify both the account and field names in a single string passed as the primary argument. In the second example, get_value is a method of the avendesora.Account class. In this case you have already specified the account, so you only need to specify the desired field name as an argument. In both cases the methods return an avendesora.AccountValue object. This is also true for avendesora.Account.get_username() and avendesora.Account.get_password().

The various aspects of the value are available as attributes.

value – the value itself
is_secret – indicates whether the value is a secret
name – identifier for the first level of a field
key – identifier for the second level of a field
field – name.key
desc – description

If you cast the object to a string, you get the value in the form of a string.

In addition, the object provides the avendesora.AccountValue.render() method for flexibly converting the account value to a string. You use it by providing one or more template strings where the attributes are accessed using a single letter contained with braces. So for example:

print(passcode.render('{n} = {v}')
print(passcode.render(('{f} ({d}): {v}', '{f}: {v}'))

You can include normal Python string formatting codes as well.

print(passcode.render('{n:>10} = {v}')

Components

This section documents the programming interface for Avendesora. You can view the Avendesora source code, particularly avendesora.command, for further examples on how to use this interface.

PasswordGenerator Class

This is the entry class to Avendesora. It is the only class you need instantiate directly. By instantiating it you cause Avendesora to read the user’s account files.

Account Class

AccountValue Class

PasswordError Exception

Example: Displaying Account Values

The following example prints out all account values for account whose name are found in a list.

from avendesora import PasswordGenerator, PasswordError
from inform import display, indent

accounts = ['bank', 'credit-union', 'brokerage']

try:
    pw = PasswordGenerator()

    for account_name in accounts:
        account = pw.get_account(account_name)
        description = account.get_scalar('desc', None, account_name)
        display(description, len(description)*'=', sep='\n')

        for name, keys in account.get_fields():
            if keys == [None]:
                value = account.get_value(name)
                display(value.render('{n}: {v}'))
            else:
                display(name + ':')
                for key, value in account.get_values(name):
                    display(indent(
                        value.render(('{k}) {d}: {v}', '{k}: {v}'))
                    ))
        display()
except PasswordError as e:
    e.terminate()

Example: Add SSH Keys

This example adds SSH keys to your SSH agent. It uses pexpect to manage the interaction between this script and ssh-add.

A more advanced version of addsshkeys can be found on GitHub.

#!/usr/bin/env python3
"""
Add SSH keys

Add SSH keys to SSH agent.
The following keys are added: {keys}.

Usage:
    addsshkeys [options]

Options:
    -v, --verbose    list the keys as they are being added

A description of how to configure and use this program can be found at
`<https://avendesora.readthedocs.io/en/latest/api.html#example-add-ssh-keys>_.
"""
# Assumes that the Avendesora account that contains the ssh key's passphrase
# has a name or alias of the form <name>-ssh-key. It also assumes that the
# account contains a field named 'keyfile' or 'keyfiles' that contains an
# absolute path or paths to the ssh key files in a string.

from avendesora import PasswordGenerator, PasswordError
from inform import Inform, codicil, error, narrate
from docopt import docopt
from pathlib import Path
import pexpect

SSHkeys = 'primary github backups'.split()
SSHadd = 'ssh-add'

cmdline = docopt(__doc__.format(keys = ', '.join(SSHkeys)))
Inform(narrate=cmdline['--verbose'])

try:
    pw = PasswordGenerator()
except PasswordError as e:
    e.terminate()

for key in SSHkeys:
    name = key + '-ssh-key'
    try:
        account = pw.get_account(name)
        passphrase = str(account.get_passcode().value)
        if account.has_field('keyfiles'):
            keyfiles = account.get_value('keyfiles').value
        else:
            keyfiles = account.get_value('keyfile').value
        for keyfile in keyfiles.split():
            path = Path(keyfile).expanduser()
            narrate('adding.', culprit=keyfile)
            try:
                sshadd = pexpect.spawn(SSHadd, [str(path)])
                sshadd.expect('Enter passphrase for %s: ' % (path), timeout=4)
                sshadd.sendline(passphrase)
                sshadd.expect(pexpect.EOF)
                sshadd.close()
                response = sshadd.before.decode('utf-8')
                if 'identity added' in response.lower():
                    continue
            except (pexpect.EOF, pexpect.TIMEOUT):
                pass
            error('failed.', culprit=key)
            codicil('response:', sshadd.before.decode('utf8'), culprit=SSHadd)
            codicil('exit status:', sshadd.exitstatus , culprit=SSHadd)
    except PasswordError as e:
        e.report(culprit=key)

Example: Export to BitWarden

This program exports selected accounts from Avendesora to BitWarden. BitWarden is a multi-platform open-source password manager. Using BitWarden you can extend the reach of Avendesora to your phone or other non-Unix platform.

To use bw-export you would add a special field named bitwarden to those accounts that you wish to export. It must contain a dictionary that gives the values of each of the fields exported for each account. For example:

bitwarden = dict(
    type='login',
    name='Andor Airlines',
    login_uri='{urls}',
    login_username='{email}',
    login_password='{passcode}',
    fields='account: {account}\ncustomer service: {customer_service}',
)

The exported fields are described on the BitWarden website. The values for the fields are either simple strings, as in type and name, or Avendesora scripts, as in login_username and fields. Scripts allow you to interpolate Advendesora account field value into BitWarden fields. Any field that is supported but not given will be blank.

This script produces a file named bw.csv that contains the exported accounts, It can be imported into BitWarden from their website. You should delete any previously imported accounts before importing this file to avoid duplicates. You should all take care to delete this file after you have completed the import as it contains the passcodes in plain text.

More advanced versions of this example script are available as bw-export from both GitHub and PyPI.

#!/usr/bin/env python3
# Description
"""Export Accounts to BitWarden

Generates a CSV file (bw.csv) suitable for uploading to BitWarden.

Usage:
    bw-export

Only those accounts with 'bitwarden' field are exported. The "bitwarden' field
is expected to be a dictionary that may contain the following fields: folder,
favorite, type, name, notes, fields, login_uri, login_username, login_password,
login_totp. If not given, they are left blank. Each value may be a simple string
or it may be a script.

Once created, it can be imported from the BitWarden website
(vault.bitwarden.com).  You should delete existing accounts before re-importing
to avoid duplicate accounts. When importing, use 'Bitwarden (csv)' as the file
format.
"""

# Imports
from avendesora import PasswordGenerator, PasswordError, Script
from inform import conjoin, os_error, terminate
from docopt import docopt
import csv

# Globals
fieldnames='''
    folder
    favorite
    type
    name
    notes
    fields
    login_uri
    login_username
    login_password
    login_totp
'''.split()
output_filename = 'bw.csv'

# Program
try:
    # Read command line and process options
    cmdline = docopt(__doc__)

    # Scan accounts and gather accounts to export
    pw = PasswordGenerator()
    accounts = {}
    with open(output_filename, 'w', newline='') as csvfile:
        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
        writer.writeheader()

        # visit each account
        for account in pw.all_accounts():
            account_name = account.get_name()
            class_name = account.__name__
            description = account.get_scalar('desc', None, None)

            # process bitwarden field if it exists
            fields = account.get_composite('bitwarden')
            if fields:
                # expand fields
                for k, v in fields.items():
                    value = Script(v)
                    value.initialize(account)
                    fields[k] = str(value)
                writer.writerow(fields)
    os.chmod(output_filename, 0o600)

# Process exceptions
except KeyboardInterrupt:
    terminate('Killed by user.')
except PasswordError as e:
    e.terminate()
except OSError as e:
    terminate(os_error(e))

Example: Postmortem Summaries

This is a program that generates a summary of selected accounts for a person’s children and partners. It is assumed that these messages would be placed into a safe place to be found and read upon the person’s death.

It examines all accounts looking for a special field, postmortem_recipients. If the field exists, then that account is included in the file of accounts sent to that recipient. The script also looks for another special field, estimated_value. It includes this value in the message and prints the values to the standard output when generating the messages. This gives you a chance to review the values and update them if they are stale. The generated files are encrypted so that only the intended recipients can read them.

Here is an example of the fields you would add to an account to support postmortem:

postmortem_recipients = 'kids'
estimated_value = dict(
    updated = 'January 2019',
    equities = '$23k',
    cash = '$1.7k',
    retirement = '$41,326'
)

The estimated_value field should be a dictionary where one item is ‘updated’, which contains the date of when the values were last updated, and the remaining items should give an investment class and value. The values may be specified as strings (commas, units and SI scale factors allowed) or as a real number or expression.

You configure postmortem by creating ~/.config/postmortem/config. This file contains Python code that specifies the various settings. At a minimum it should include the GPG IDs for yourself and your recipients. For example:

my_gpg_ids = 'morgase@andor.gov'
recipients = dict(
    kids='galad@trakand.name gawyn@trakand.name elayne@trakand.name',
    partners='taringail.damodred@andor.gov',
)

A more advanced version of postmortem. can be found on GitHub.

#!/usr/bin/env python3

# Description
"""Postmortem

Generate an account summary that includes complete account information,
including secrets, for selected accounts. This summary should allow the
recipients to access your accounts. The summaries are intended to be given to
the recipients after you die.

Usage:
    postmortem [options] [<recipients>...]

Choose from: {available}.  If no recipients are specified, then summaries will
be generated for all recipients.

A description of how to configure and use this program can be found at
`<https://avendesora.readthedocs.io/en/latest/api.html#example-postmortem-summaries>_.
"""

# Imports
from avendesora import PasswordGenerator, PasswordError
from avendesora.gpg import PythonFile
from inform import (
    Error, conjoin, cull, display, indent, os_error, terminate, warn
)
from docopt import docopt
from appdirs import user_config_dir
from pathlib import Path
import gnupg

# Settings
prog_name = 'postmortem'
config_filename = 'config'

# these can be overridden in the settings file: ~/.config/postmortem
my_gpg_ids = ''
recipients = dict()
avendesora_value_fieldname = 'estimated_value'
avendesora_recipients_fieldname = 'postmortem_recipients'

try:
    # Read settings
    config_filepath = Path(user_config_dir(prog_name), config_filename)
    if config_filepath.exists():
        settings = PythonFile(config_filepath)
        settings.initialize()
        locals().update(settings.run())
    else:
        warn('no configuration file found.')

    # Read command line and process options
    cmdline = docopt(__doc__.format(available=conjoin(recipients)))
    who = cmdline['<recipients>']
    if not who:
        who = recipients

    # Scan accounts and gather information for recipients
    pw = PasswordGenerator()
    accounts = {}
    for account in pw.all_accounts():
        account_name = account.get_name()
        class_name = account.__name__
        description = account.get_scalar('desc', None, None)

        # summarize account values
        data = account.get_composite(avendesora_value_fieldname)
        postmortem_recipients = account.get_scalar(avendesora_recipients_fieldname, default=None)
        if data and not postmortem_recipients:
            warn('no recipients.', culprit= account.get_name())
            continue
        if not postmortem_recipients:
            continue
        postmortem_recipients = postmortem_recipients.split()

        # gather information for recipients
        for recipient in recipients:
            if recipient in postmortem_recipients:
                # output title
                title = ' - '.join(cull([class_name, description]))
                lines = [title, len(title)*'=']

                # output avendesora names
                aliases = account.get_composite('aliases')
                names = [account_name] + (aliases if aliases else [])
                lines.append('avendesora names: ' + ', '.join(names))

                # output user fields
                for name, keys in account.get_fields():
                    if name in [avendesora_recipients_fieldname, 'desc', 'NAME']:
                        continue
                    if keys == [None]:
                        value = account.get_value(name)
                        lines += value.render('{n}: {v}').split('\n')
                    else:
                        lines.append(name + ':')
                        for key, value in account.get_values(name):
                            lines += indent(
                                value.render(('{k}) {d}: {v}', '{k}: {v}'))
                            ).split('\n')
                if recipient not in accounts:
                    accounts[recipient] = []
                accounts[recipient].append('\n'.join(lines))


    # generate encrypted files than contain about accounts for each recipient
    gpg = gnupg.GPG(gpgbinary='gpg2')
    for recipient, idents in recipients.items():
        if recipient in accounts:
            content = accounts[recipient]
            num_accounts = len(content)
            encrypted = gpg.encrypt(
                '\n\n\n'.join(content),
                idents.split() + my_gpg_ids.split()
            )
            if not encrypted.ok:
                raise Error(
                    'unable to encrypt:', encrypted.stderr, culprit=recipient
                )
            try:
                filename = recipient + '.gpg'
                with open(filename, 'w') as file:
                    file.write(str(encrypted))
                display(f'contains {num_accounts} accounts.', culprit=filename)
            except OSError as e:
                raise Error(os_error(e))
        else:
            warn('no accounts found.', culprit=recipient)

# process exceptions
except KeyboardInterrupt:
    terminate('Killed by user.')
except (PasswordError, Error) as e:
    e.terminate()

Example: Net Worth

If you have added estimated_value to all of your accounts that hold significant value as proposed in the previous example, then networth summarizes the values and estimates your net worth.

You configure networth by creating ~/.config/networth/config. This file contains Python code that specifies the various settings. You do not need this file, but there is a few things you might wish to configure with this file. First, you can arrange to report the networth of multiple people. Generally you would be interested in your own networth, but you might also be interested in the networth of someone such as a child or a parent if you are their financial custodian. Second, you can rename accounts if you have obscure or excessively long account names. Finally, you can add a list of cryptocurrencies, in which case networth will download the latest prices to give you an up-to-date view of your networth.

Here is an example of what your configuration file might look like.

default_who='me'

avendesora_fieldnames = dict(
    me='estimated_value',
    parents='parents_estimated_value',
)

aliases = dict(
    me = {
        'princeton-capital': 'home mortgage',
    },
    parents = {
        'parents-bankamerica': 'bank america',
        'parents-schwab': 'schwab',
        'premierlending': 'home mortgage',
    }
)

coins = 'BTC ETH'.split()

# bar settings
screen_width = 110

A more advanced version of networth can be found on GitHub.

#!/usr/bin/env python3
# Description
"""Networth

Show a summary of the networth of the specified person.

Usage:
    networth [options] [<profile>]

Options:
    -u, --updated           show the account update date rather than breakdown

{available_profiles}
Settings can be found in: {settings_dir}.
Typically there is one file for generic settings named 'config' and then one
file for each profile whose name is the same as the profile name with a '.prof'
suffix.  Each of the files may contain any setting, but those values in 'config'
override those built in to the program, and those in the individual profiles
override those in 'config'. The following settings are understood. The values
are those before an individual profile is applied.

Profile values:
    default_profile = {default_profile}

Account values:
    avendesora_fieldname = {avendesora_fieldname}
    value_updated_subfieldname = {value_updated_subfieldname}
    date_formats = {date_formats}
    max_account_value_age = {max_account_value_age}  (in days)
    aliases = {aliases}
        (aliases is used to fix account names to make them more readable)

Cryptocurrency values:
    coins = {coins}
    prices_filename = {prices_filename}
    max_coin_price_age = {max_coin_price_age}  (in seconds)

Bar graph values:
    screen_width = {screen_width}
    asset_color = {asset_color}
    debt_color = {debt_color}

The prices and log files can be found in {cache_dir}.

A description of how to configure and use this program can be found at
`<https://avendesora.readthedocs.io/en/latest/api.html#example-net-worth>`_.
"""

# Imports
from avendesora import PasswordGenerator, PasswordError
from avendesora.gpg import PythonFile
from inform import (
    conjoin, display, done, error, fatal, is_str, join, narrate, os_error,
    render_bar, terminate, warn, Color, Error, Inform,
)
from quantiphy import Quantity
from docopt import docopt
from appdirs import user_config_dir, user_cache_dir
from pathlib import Path
import arrow

# Settings
# These can be overridden in ~/.config/networth/config
prog_name = 'networth'
config_filename = 'config'

# Avendesora settings
default_profile = 'me'
avendesora_fieldname = 'estimated_value'
value_updated_subfieldname = 'updated'
aliases = {}

# cryptocurrency settings (empty coins to disable cryptocurrency support)
proxy = None
prices_filename = 'prices'
coins = None
max_coin_price_age = 86400  # refresh cache if older than this (seconds)

# bar settings
screen_width = 79
asset_color = 'green'
debt_color = 'red'
    # currently we only colorize the bar because ...
    # - it is the only way of telling whether value is positive or negative
    # - trying to colorize the value really messes with the column widths and is
    #     not attractive

# date settings
date_formats = [
    'MMMM YYYY',
    'YYMMDD',
]
max_account_value_age = 120  # days

# Utility functions
# get the age of an account value
def get_age(date, profile):
    if date:
        for fmt in date_formats:
            try:
                then = arrow.get(date, fmt)
                age = arrow.now() - then
                return age.days
            except:
                pass
    warn(
        'could not compute age of account value',
        '(updated missing or misformatted).',
        culprit=profile
    )

# colorize text
def colorize(value, text = None):
    if text is None:
        text = str(value)
    return debt_color(text) if value < 0 else asset_color(text)


try:
    # Initialization
    settings_dir = Path(user_config_dir(prog_name))
    cache_dir = user_cache_dir(prog_name)
    Quantity.set_prefs(prec=2)
    Inform(logfile=Path(cache_dir, 'log'))
    display.log = False   # do not log normal output

    # Read generic settings
    config_filepath = Path(settings_dir, config_filename)
    if config_filepath.exists():
        narrate('reading:', config_filepath)
        settings = PythonFile(config_filepath)
        settings.initialize()
        locals().update(settings.run())
    else:
        narrate('not found:', config_filepath)

    # Read command line and process options
    available=set(p.stem for p in settings_dir.glob('*.prof'))
    available.add(default_profile)
    if len(available) > 1:
        choose_from = f'Choose <profile> from {conjoin(sorted(available))}.'
        default = f'The default is {default_profile}.'
        available_profiles = f'{choose_from} {default}\n'
    else:
        available_profiles = ''

    cmdline = docopt(__doc__.format(
        **locals()
    ))
    show_updated = cmdline['--updated']
    profile = cmdline['<profile>'] if cmdline['<profile>'] else default_profile
    if profile not in available:
        fatal(
            'unknown profile.', choose_from, template=('{} {}', '{}'),
            culprit=profile
        )

    # Read profile settings
    config_filepath = Path(user_config_dir(prog_name), profile + '.prof')
    if config_filepath.exists():
        narrate('reading:', config_filepath)
        settings = PythonFile(config_filepath)
        settings.initialize()
        locals().update(settings.run())
    else:
        narrate('not found:', config_filepath)

    # Process the settings
    if is_str(date_formats):
        date_formats = [date_formats]
    asset_color = Color(asset_color)
    debt_color = Color(debt_color)

    # Get cryptocurrency prices
    if coins:
        import requests

        cache_valid = False
        cache_dir = Path(cache_dir)
        cache_dir.mkdir(parents=True, exist_ok=True)
        prices_cache = Path(cache_dir, prices_filename)
        if prices_cache and prices_cache.exists():
            now = arrow.now()
            age = now.timestamp - prices_cache.stat().st_mtime
            cache_valid = age < max_coin_price_age
        if cache_valid:
            contents = prices_cache.read_text()
            prices = Quantity.extract(contents)
            narrate('coin prices are current:', prices_cache)
        else:
            narrate('updating coin prices')
            # download latest asset prices from cryptocompare.com
            currencies = dict(
                fsyms=','.join(coins),     # from symbols
                tsyms='USD',               # to symbols
            )
            url_args = '&'.join(f'{k}={v}' for k, v in currencies.items())
            base_url = f'https://min-api.cryptocompare.com/data/pricemulti'
            url = '?'.join([base_url, url_args])
            try:
                r = requests.get(url, proxies=proxy)
            except KeyboardInterrupt:
                done()
            except Exception as e:
                # must catch all exceptions as requests.get() can generate
                # a variety based on how it fails, and if the exception is not
                # caught the thread dies.
                raise Error('cannot access cryptocurrency prices:', codicil=str(e))

            try:
                data = r.json()
            except:
                raise Error('cryptocurrency price download was garbled.')
            prices = {k: Quantity(v['USD'], '$') for k, v in data.items()}

            if prices_cache:
                contents = '\n'.join('{} = {}'.format(k,v) for k,v in
                prices.items())
                prices_cache.write_text(contents)
                narrate('updating coin prices:', prices_cache)
        prices['USD'] = Quantity(1, '$')
    else:
        prices = {}

    # Build account summaries
    narrate('running avendesora')
    pw = PasswordGenerator()
    totals = {}
    accounts = {}
    total_assets = Quantity(0, '$')
    total_debt = Quantity(0, '$')
    grand_total = Quantity(0, '$')
    width = 0
    for account in pw.all_accounts():

        # get data
        data = account.get_composite(avendesora_fieldname)
        if not data:
            continue
        if type(data) != dict:
            error(
                'expected a dictionary.',
                culprit=(account_name, avendesora_fieldname)
            )
            continue

        # get account name
        account_name = account.get_name()
        account_name = aliases.get(account_name, account_name)
        account_name = account_name.replace('_', ' ')
        width = max(width, len(account_name))

        # sum the data
        updated = None
        contents = {}
        total = Quantity(0, '$')
        odd_units = False
        for k, v in data.items():
            if k == value_updated_subfieldname:
                updated = v
                continue
            if k in prices:
                value = Quantity(v*prices[k], prices[k])
                k = 'cryptocurrency'
            else:
                value = Quantity(v, '$')
            if value.units == '$':
                total = total.add(value)
            else:
                odd_units = True
            contents[k] = value.add(contents.get(k, 0))
            width = max(width, len(k))
        for k, v in contents.items():
            totals[k] = v.add(totals.get(k, 0))

        # generate the account summary
        age = get_age(data.get(value_updated_subfieldname), account_name)
        if show_updated:
            desc = updated
        else:
            desc = ', '.join('{}={}'.format(k, v) for k, v in contents.items() if v)
            if len(contents) == 1 and not odd_units:
                desc = k
            if age and age > max_account_value_age:
                desc += f' ({age//30} months old)'
        accounts[account_name] = join(
            total, desc.replace('_', ' '),
            template=('{:7q} {}', '{:7q}'), remove=(None,'')
        )

        # sum assets and debts
        if total > 0:
            total_assets = total_assets.add(total)
        else:
            total_debt = total_debt.add(-total)
        grand_total = grand_total.add(total)

    # Summarize by account
    display('By Account:')
    for name in sorted(accounts):
        summary = accounts[name]
        display(f'{name:>{width+2}s}: {summary}')

    # Summarize by investment type
    display('\nBy Type:')
    largest_share = max(v for v in totals.values() if v.units == '$')
    barwidth = screen_width - width - 18
    for asset_type in sorted(totals, key=lambda k: totals[k], reverse=True):
        value = totals[asset_type]
        if value.units != '$':
            continue
        share = value/grand_total
        bar = colorize(value, render_bar(value/largest_share, barwidth))
        asset_type = asset_type.replace('_', ' ')
        display(f'{asset_type:>{width+2}s}: {value:>7s} ({share:>5.1%}) {bar}')
    display(
        f'\n{"TOTAL":>{width+2}s}:',
        f'{grand_total:>7s} (assets = {total_assets}, debt = {total_debt})'
    )

# Handle exceptions
except OSError as e:
    error(os_error(e))
except KeyboardInterrupt:
    terminate('Killed by user.')
except (PasswordError, Error) as e:
    e.terminate()
done()

Here is a typical output of this script:

By Account:
        betterment:    $22k equities=$9k, cash=$3k, retirement=$9k
             chase:     $7k cash
         southwest:      $0 miles=78kmiles
          coindesk:  $15.3k cryptocurrency

By Type:
    cryptocurrency:  $15.3k (35.3%) ██████████████████████████████████████████
              cash:    $10k (23.1%) ███████████████████████████████
          equities:     $9k (20.8%) ███████████████████████████
        retirement:     $9k (20.8%) ███████████████████████████

            TOTAL:  $43.3k (assets = $43.3k, debt = $0)