Changeset - 73bbc1e4ec8a
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Brett Smith - 4 years ago 2020-10-16 14:05:23
brettcsmith@brettcsmith.org
data: Define EQUITY_ACCOUNTS and FUND_ACCOUNTS.
3 files changed with 18 insertions and 23 deletions:
0 comments (0 inline, 0 general)
conservancy_beancount/data.py
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"""Enhanced Beancount data structures for Conservancy
 

	
 
The classes in this module are interface-compatible with Beancount's core data
 
structures, and provide additional business logic that we want to use
 
throughout Conservancy tools.
 
"""
 
# Copyright © 2020  Brett Smith
 
#
 
# This program is free software: you can redistribute it and/or modify
 
# it under the terms of the GNU Affero General Public License as published by
 
# the Free Software Foundation, either version 3 of the License, or
 
# (at your option) any later version.
 
#
 
# This program is distributed in the hope that it will be useful,
 
# but WITHOUT ANY WARRANTY; without even the implied warranty of
 
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 
# GNU Affero General Public License for more details.
 
#
 
# You should have received a copy of the GNU Affero General Public License
 
# along with this program.  If not, see <https://www.gnu.org/licenses/>.
 

	
 
import collections
 
import datetime
 
import decimal
 
import functools
 
import re
 

	
 
from beancount.core import account as bc_account
 
from beancount.core import amount as bc_amount
 
from beancount.core import convert as bc_convert
 
from beancount.core import data as bc_data
 
from beancount.core import position as bc_position
 
from beancount.parser import options as bc_options
 

	
 
from typing import (
 
    cast,
 
    overload,
 
    Callable,
 
    Hashable,
 
    Iterable,
 
    Iterator,
 
    MutableMapping,
 
    Optional,
 
    Pattern,
 
    Sequence,
 
    TypeVar,
 
    Union,
 
)
 

	
 
from .beancount_types import (
 
    Close,
 
    Currency,
 
    Directive,
 
    Meta,
 
    MetaKey,
 
    MetaValue,
 
    Open,
 
    OptionsMap,
 
    Posting as BasePosting,
 
    Transaction,
 
)
 

	
 
DecimalCompat = Union[decimal.Decimal, int]
 

	
 
EQUITY_ACCOUNTS = frozenset([
 
    'Equity',
 
    'Expenses',
 
    'Income',
 
])
 
FUND_ACCOUNTS = EQUITY_ACCOUNTS | frozenset([
 
    'Assets:Prepaid',
 
    'Assets:Receivable',
 
    'Liabilities:Payable',
 
    'Liabilities:UnearnedIncome',
 
])
 
LINK_METADATA = frozenset([
 
    'approval',
 
    'bank-statement',
 
    'check',
 
    'contract',
 
    'invoice',
 
    'purchase-order',
 
    'receipt',
 
    'rt-id',
 
    'statement',
 
    'tax-statement',
 
])
 

	
 
class AccountMeta(MutableMapping[MetaKey, MetaValue]):
 
    """Access account metadata
 

	
 
    This class provides a consistent interface to all the metadata provided by
 
    Beancount's ``open`` and ``close`` directives: open and close dates,
 
    used currencies, booking method, and the metadata associated with each.
 

	
 
    For convenience, you can use this class as a Mapping to access the ``open``
 
    directive's metadata directly.
 
    """
 
    __slots__ = ('_opening', '_closing')
 

	
 
    def __init__(self, opening: Open, closing: Optional[Close]=None) -> None:
 
        self._opening = opening
 
        self._closing: Optional[Close] = None
 
        if closing is not None:
 
            self.add_closing(closing)
 

	
 
    def add_closing(self, closing: Close) -> None:
 
        if self._closing is not None and self._closing is not closing:
 
            raise ValueError(f"{self.account} already closed by {self._closing!r}")
 
        elif closing.account != self.account:
 
            raise ValueError(f"cannot close {self.account} with {closing.account}")
 
        elif closing.date < self.open_date:
 
            raise ValueError(f"close date {closing.date} predates open date {self.open_date}")
 
        else:
 
            self._closing = closing
 

	
 
    def __iter__(self) -> Iterator[MetaKey]:
 
        return iter(self._opening.meta)
 

	
 
    def __len__(self) -> int:
 
        return len(self._opening.meta)
 

	
 
    def __getitem__(self, key: MetaKey) -> MetaValue:
 
        return self._opening.meta[key]
 

	
 
    def __setitem__(self, key: MetaKey, value: MetaValue) -> None:
 
        self._opening.meta[key] = value
 

	
 
    def __delitem__(self, key: MetaKey) -> None:
 
        del self._opening.meta[key]
 

	
 
    @property
 
    def account(self) -> 'Account':
 
        return Account(self._opening.account)
 

	
 
    @property
 
    def booking(self) -> Optional[bc_data.Booking]:
 
        return self._opening.booking
 

	
 
    @property
 
    def close_date(self) -> Optional[datetime.date]:
 
        return None if self._closing is None else self._closing.date
 

	
 
    @property
 
    def close_meta(self) -> Optional[Meta]:
 
        return None if self._closing is None else self._closing.meta
 

	
 
    @property
 
    def currencies(self) -> Optional[Sequence[Currency]]:
 
        return self._opening.currencies
 

	
 
    @property
 
    def open_date(self) -> datetime.date:
 
        return self._opening.date
 

	
 
    @property
 
    def open_meta(self) -> Meta:
 
        return self._opening.meta
 

	
 

	
 
class Account(str):
 
    """Account name string
 

	
 
    This is a string that names an account, like Assets:Bank:Checking
 
    or Income:Donations. This class provides additional methods for common
 
    account name parsing and queries.
 
    """
 
    __slots__ = ()
 

	
 
    ACCOUNT_RE: Pattern
 
    SEP = bc_account.sep
 
    _meta_map: MutableMapping[str, AccountMeta] = {}
 
    _options_map: OptionsMap
 

	
 
    @classmethod
 
    def load_options_map(cls, options_map: OptionsMap) -> None:
 
        cls._options_map = options_map
 
        roots: Sequence[str] = bc_options.get_account_types(options_map)
 
        cls.ACCOUNT_RE = re.compile(
 
            r'^(?:{})(?:{}[A-Z0-9][-A-Za-z0-9]*)+$'.format(
 
                '|'.join(roots), cls.SEP,
 
            ))
 

	
 
    @classmethod
 
    def load_opening(cls, opening: Open) -> None:
 
        cls._meta_map[opening.account] = AccountMeta(opening)
 

	
 
    @classmethod
 
    def load_closing(cls, closing: Close) -> None:
 
        try:
 
            cls._meta_map[closing.account].add_closing(closing)
 
        except KeyError:
 
            raise ValueError(
 
                f"tried to load {closing.account} close directive before open",
 
            ) from None
 

	
 
    @classmethod
 
    def load_openings_and_closings(cls, entries: Iterable[Directive]) -> None:
 
        for entry in entries:
 
            # type ignores because Beancount's directives aren't type-checkable.
 
            if isinstance(entry, bc_data.Open):
 
                cls.load_opening(entry)  # type:ignore[arg-type]
 
            elif isinstance(entry, bc_data.Close):
 
                cls.load_closing(entry)  # type:ignore[arg-type]
 

	
 
    @classmethod
 
    def load_from_books(cls, entries: Iterable[Directive], options_map: OptionsMap) -> None:
 
        cls.load_options_map(options_map)
 
        cls.load_openings_and_closings(entries)
 

	
 
    @classmethod
 
    def is_account(cls, s: str) -> bool:
 
        return cls.ACCOUNT_RE.fullmatch(s) is not None
 

	
 
    @classmethod
 
    def iter_accounts_by_classification(cls, s: str) -> Iterator['Account']:
 
        class_re = re.compile(f'^{re.escape(s)}(?::|$)')
 
        for name, meta in cls._meta_map.items():
 
            try:
 
                match = class_re.match(meta['classification'])
 
            except KeyError:
 
                match = None
 
            if match:
 
                yield cls(name)
 

	
 
    @classmethod
 
    def iter_accounts_by_hierarchy(cls, s: str) -> Iterator['Account']:
 
        for name in cls._meta_map:
 
            account = cls(name)
 
            if account.is_under(s):
 
                yield account
 

	
 
    @classmethod
 
    def iter_accounts(cls, s: Optional[str]=None) -> Iterator['Account']:
 
        """Iterate account objects by name or classification
 

	
 
        With no argument, returns an iterator of all known account names.
 
        If you pass in a root account name, or a valid account string, returns
 
        an iterator of all accounts under that account in the hierarchy.
 
        Otherwise, returns an iterator of all accounts with the given
 
        ``classification`` metadata.
 
        """
 
        if s is None:
 
            return (cls(acct) for acct in cls._meta_map)
 
        # We append a stub subaccount to match root accounts.
 
        elif cls.is_account(f'{s}:RootsOK'):
 
            return cls.iter_accounts_by_hierarchy(s)
 
        else:
 
            return cls.iter_accounts_by_classification(s)
 

	
 
    @property
 
    def meta(self) -> AccountMeta:
 
        return self._meta_map[self]
 

	
 
    def is_cash_equivalent(self) -> bool:
 
        return (
 
            self.is_under('Assets:') is not None
 
            and self.is_under('Assets:Prepaid', 'Assets:Receivable') is None
 
        )
 

	
 
    def is_checking(self) -> bool:
 
        return self.is_cash_equivalent() and ':Check' in self
 

	
 
    def is_credit_card(self) -> bool:
 
        return self.is_under('Liabilities:CreditCard') is not None
 

	
 
    def is_open_on_date(self, date: datetime.date) -> Optional[bool]:
 
        """Return true if this account is open on the given date.
 

	
 
        This method considers the dates on the account's open and close
 
        directives. If there is no close directive, it just checks the date is
 
        on or after the opening date. If neither exists, returns None.
 
        """
 
        try:
 
            meta = self.meta
 
        except KeyError:
 
            return None
 
        close_date = meta.close_date
 
        if close_date is None:
 
            close_date = date + datetime.timedelta(days=1)
 
        return meta.open_date <= date < close_date
 

	
 
    def is_opening_equity(self) -> bool:
 
        return self.is_under('Equity:Funds', 'Equity:OpeningBalance') is not None
 

	
 
    def is_under(self, *acct_seq: str) -> Optional[str]:
 
        """Return a match if this account is "under" a part of the hierarchy
 

	
 
        Pass in any number of account name strings as arguments. If this
 
        account is under one of those strings in the account hierarchy, the
 
        first matching string will be returned. Otherwise, None is returned.
 

	
 
        You can use the return value of this method as a boolean if you don't
 
        care which account string is matched.
 

	
 
        An account is considered to be under itself:
 

	
 
          Account('Expenses:Tax').is_under('Expenses:Tax') # returns 'Expenses:Tax'
 

	
 
        To do a "strictly under" search, end your search strings with colons:
 

	
 
          Account('Expenses:Tax').is_under('Expenses:Tax:') # returns None
 
          Account('Expenses:Tax').is_under('Expenses:') # returns 'Expenses:'
 

	
 
        This method does check that all the account boundaries match:
 

	
 
          Account('Expenses:Tax').is_under('Exp') # returns None
 
        """
 
        for prefix in acct_seq:
 
            if self.startswith(prefix) and (
 
                prefix.endswith(self.SEP)
 
                or self == prefix
 
                or self[len(prefix)] == self.SEP
 
            ):
 
                return prefix
 
        return None
 

	
 
    def keeps_balance(self) -> bool:
 
        return self.is_under(
 
            self._options_map['name_assets'],
 
            self._options_map['name_liabilities'],
 
        ) is not None
 

	
 
    def _find_part_slice(self, index: int) -> slice:
 
        if index < 0:
 
            raise ValueError(f"bad part index {index!r}")
 
        start = 0
 
        for _ in range(index):
 
            try:
 
                start = self.index(self.SEP, start) + 1
 
            except ValueError:
 
                raise IndexError("part index {index!r} out of range") from None
 
        try:
 
            stop = self.index(self.SEP, start + 1)
 
        except ValueError:
 
            stop = len(self)
 
        return slice(start, stop)
 

	
 
    def count_parts(self) -> int:
 
        return self.count(self.SEP) + 1
 

	
 
    @overload
 
    def slice_parts(self, start: None=None, stop: None=None) -> Sequence[str]: ...
 

	
 
    @overload
 
    def slice_parts(self, start: slice, stop: None=None) -> Sequence[str]: ...
 

	
 
    @overload
 
    def slice_parts(self, start: int, stop: int) -> Sequence[str]: ...
 

	
 
    @overload
 
    def slice_parts(self, start: int, stop: None=None) -> str: ...
 

	
 
    def slice_parts(self,
 
                    start: Optional[Union[int, slice]]=None,
 
                    stop: Optional[int]=None,
 
    ) -> Sequence[str]:
 
        """Slice the account parts like they were a list
 

	
 
        Given a single index, return that part of the account name as a string.
 
        Otherwise, return a list of part names sliced according to the arguments.
 
        """
 
        if start is None:
 
            part_slice = slice(None)
 
        elif isinstance(start, slice):
 
            part_slice = start
 
        elif stop is None:
 
            return self[self._find_part_slice(start)]
 
        else:
 
            part_slice = slice(start, stop)
 
        return self.split(self.SEP)[part_slice]
 

	
 
    def root_part(self, count: int=1) -> str:
 
        """Return the first part(s) of the account name as a string"""
 
        try:
 
            stop = self._find_part_slice(count - 1).stop
 
        except IndexError:
 
            return self
 
        else:
 
            return self[:stop]
 
Account.load_options_map(bc_options.OPTIONS_DEFAULTS)
 

	
 

	
 
class Amount(bc_amount.Amount):
 
    """Beancount amount after processing
 

	
 
    Beancount's native Amount class declares number to be Optional[Decimal],
 
    because the number is None when Beancount first parses a posting that does
 
    not have an amount, because the user wants it to be automatically balanced.
 

	
 
    As part of the loading process, Beancount replaces those None numbers
 
    with the calculated amount, so it will always be a Decimal. This class
 
    overrides the type declaration accordingly, so the type checker knows
 
    that our code doesn't have to consider the possibility that number is
 
    None.
 
    """
 
    number: decimal.Decimal
 

	
 
    # beancount.core._Amount is the plain namedtuple.
 
    # beancore.core.Amount adds instance methods to it.
 
    # b.c.Amount.__New__ calls `b.c._Amount.__new__`, which confuses type
 
    # checking. See <https://github.com/python/mypy/issues/1279>.
 
    # It works fine if you use super(), which is better practice anyway.
 
    # So we override __new__ just to call _Amount.__new__ this way.
 
    def __new__(cls, number: decimal.Decimal, currency: str) -> 'Amount':
 
        return super(bc_amount.Amount, Amount).__new__(cls, number, currency)
 

	
 

	
 
class Metadata(MutableMapping[MetaKey, MetaValue]):
 
    """Transaction or posting metadata
 

	
 
    This class wraps a Beancount metadata dictionary with additional methods
 
    for common parsing and query tasks.
 
    """
 
    __slots__ = ('meta',)
 
    _HUMAN_NAMES: MutableMapping[MetaKey, str] = {
 
        # Initialize this dict with special cases.
 
        # We use it as a cache for other metadata names as they're queried.
 
        'check-id': 'Check Number',
 
        'paypal-id': 'PayPal ID',
 
        'rt-id': 'Ticket',
 
    }
 

	
 
    def __init__(self, source: MutableMapping[MetaKey, MetaValue]) -> None:
 
        self.meta = source
 

	
 
    def __iter__(self) -> Iterator[MetaKey]:
 
        return iter(self.meta)
 

	
 
    def __len__(self) -> int:
 
        return len(self.meta)
 

	
 
    def __getitem__(self, key: MetaKey) -> MetaValue:
 
        return self.meta[key]
 

	
 
    def __setitem__(self, key: MetaKey, value: MetaValue) -> None:
 
        self.meta[key] = value
 

	
 
    def __delitem__(self, key: MetaKey) -> None:
 
        del self.meta[key]
 

	
 
    def get_links(self, key: MetaKey) -> Sequence[str]:
 
        try:
 
            value = self.meta[key]
 
        except KeyError:
 
            return ()
 
        if isinstance(value, str):
 
            return value.split()
 
        else:
 
            raise TypeError("{} metadata is a {}, not str".format(
 
                key, type(value).__name__,
 
            ))
 

	
 
    def report_links(self, key: MetaKey) -> Sequence[str]:
 
        """Return a sequence of link strings under the named metadata key
 

	
 
        get_links raises a TypeError if the metadata is not a string.
 
        This method simply returns the empty sequence.
 
        Validation code (like in the plugin) usually uses get_links()
 
        while reporting code uses report_links().
 
        """
 
        try:
 
            return self.get_links(key)
 
        except TypeError:
 
            return ()
 

	
 
    @overload
 
    def first_link(self, key: MetaKey, default: None=None) -> Optional[str]: ...
 

	
 
    @overload
 
    def first_link(self, key: MetaKey, default: str) -> str: ...
 

	
 
    def first_link(self, key: MetaKey, default: Optional[str]=None) -> Optional[str]:
 
        try:
 
            return self.get_links(key)[0]
 
        except (IndexError, TypeError):
 
            return default
 

	
 
    @classmethod
 
    def human_name(cls, key: MetaKey) -> str:
 
        """Return the "human" version of a metadata name
 

	
 
        This is usually the metadata key with punctuation replaced with spaces,
 
        and then titlecased, with a few special cases. The return value is
 
        suitable for using in reports.
 
        """
 
        try:
 
            retval = cls._HUMAN_NAMES[key]
 
        except KeyError:
 
            retval = key.replace('-', ' ').title()
 
            retval = re.sub(r'\bId$', 'ID', retval)
 
            cls._HUMAN_NAMES[key] = retval
 
        return retval
 

	
 

	
 
class PostingMeta(Metadata):
 
    """Combined access to posting metadata with its parent transaction metadata
 

	
 
    This lets you access posting metadata through a single dict-like object.
 
    If you try to look up metadata that doesn't exist on the posting, it will
 
    look for the value in the parent transaction metadata instead.
 

	
 
    You can set and delete metadata as well. Changes only affect the metadata
 
    of the posting, never the transaction. Changes are propagated to the
 
    underlying Beancount data structures.
 

	
 
    Functionally, you can think of this as identical to:
 

	
 
      collections.ChainMap(post.meta, txn.meta)
 

	
 
    Under the hood, this class does a little extra work to avoid creating
 
    posting metadata if it doesn't have to.
 
    """
 
    __slots__ = ('txn', 'index', 'post')
 

	
 
    def __init__(self,
 
                 txn: Transaction,
 
                 index: int,
 
                 post: Optional[BasePosting]=None,
 
    ) -> None:
 
        if post is None:
 
            post = txn.postings[index]
 
        self.txn = txn
 
        self.index = index
 
        self.post = post
 
        self.meta: collections.ChainMap = collections.ChainMap(txn.meta)
 
        if post.meta is not None:
 
            self.meta = self.meta.new_child(post.meta)
 

	
 
    def __getitem__(self, key: MetaKey) -> MetaValue:
 
        try:
 
            return super().__getitem__(key)
 
        except KeyError:
 
            if key == 'entity' and self.txn.payee is not None:
 
                return self.txn.payee
 
            else:
 
                raise
 

	
 
    def __setitem__(self, key: MetaKey, value: MetaValue) -> None:
 
        if len(self.meta.maps) == 1:
 
            self.post = self.post._replace(meta={key: value})
 
            assert self.post.meta is not None
 
            self.txn.postings[self.index] = self.post
 
            self.meta = self.meta.new_child(self.post.meta)
 
        else:
 
            super().__setitem__(key, value)
 

	
 
    def __delitem__(self, key: MetaKey) -> None:
 
        if len(self.meta.maps) == 1:
 
            raise KeyError(key)
 
        else:
 
            super().__delitem__(key)
 

	
 
    # This is arguably cheating a litttle bit, but I'd argue the date of
 
    # the parent transaction still qualifies as posting metadata, and
 
    # it's something we want to access so often it's good to have it
 
    # within easy reach.
 
    @property
 
    def date(self) -> datetime.date:
 
        return self.txn.date
 

	
 
    def detached(self) -> 'PostingMeta':
 
        """Create a copy of this PostingMeta detached from the original post
 

	
 
        Changes you make to the detached copy will not propagate to the
 
        underlying data structures. This is mostly useful for reporting code
 
        that may want to "split" and manipulate the metadata multiple times.
 
        """
 
        retval = type(self)(self.txn, self.index, self.post)
 
        retval.meta = retval.meta.new_child()
 
        return retval
 

	
 

	
 
class Posting(BasePosting):
 
    """Enhanced Posting objects
 

	
 
    This class is a subclass of Beancount's native Posting class where
 
    specific fields are replaced with enhanced versions:
 

	
 
    * The `account` field is an Account object
 
    * The `units` field is our Amount object (which simply declares that the
 
      number is always a Decimal—see that docstring for details)
 
    * The `meta` field is a PostingMeta object
 
    """
 
    __slots__ = ()
 

	
 
    account: Account
conservancy_beancount/reports/balance_sheet.py
Show inline comments
 
"""balance_sheet.py - Balance sheet report"""
 
# Copyright © 2020  Brett Smith
 
#
 
# This program is free software: you can redistribute it and/or modify
 
# it under the terms of the GNU Affero General Public License as published by
 
# the Free Software Foundation, either version 3 of the License, or
 
# (at your option) any later version.
 
#
 
# This program is distributed in the hope that it will be useful,
 
# but WITHOUT ANY WARRANTY; without even the implied warranty of
 
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 
# GNU Affero General Public License for more details.
 
#
 
# You should have received a copy of the GNU Affero General Public License
 
# along with this program.  If not, see <https://www.gnu.org/licenses/>.
 

	
 
import argparse
 
import collections
 
import datetime
 
import enum
 
import logging
 
import operator
 
import sys
 

	
 
from decimal import Decimal
 
from pathlib import Path
 

	
 
from typing import (
 
    Any,
 
    Callable,
 
    Collection,
 
    Dict,
 
    Hashable,
 
    Iterable,
 
    Iterator,
 
    List,
 
    Mapping,
 
    NamedTuple,
 
    Optional,
 
    Sequence,
 
    TextIO,
 
    Tuple,
 
    Union,
 
)
 

	
 
import odf.style  # type:ignore[import]
 
import odf.table  # type:ignore[import]
 

	
 
from beancount.parser import printer as bc_printer
 

	
 
from . import core
 
from . import rewrite
 
from .. import books
 
from .. import cliutil
 
from .. import config as configmod
 
from .. import data
 
from .. import ranges
 

	
 
EQUITY_ACCOUNTS = frozenset(['Equity', 'Income', 'Expenses'])
 
PROGNAME = 'balance-sheet-report'
 
logger = logging.getLogger('conservancy_beancount.reports.balance_sheet')
 

	
 
KWArgs = Mapping[str, Any]
 

	
 
class Fund(enum.IntFlag):
 
    RESTRICTED = enum.auto()
 
    UNRESTRICTED = enum.auto()
 
    ANY = RESTRICTED | UNRESTRICTED
 

	
 

	
 
class Period(enum.IntFlag):
 
    OPENING = enum.auto()
 
    PRIOR = enum.auto()
 
    MIDDLE = enum.auto()
 
    PERIOD = enum.auto()
 
    THRU_PRIOR = OPENING | PRIOR
 
    THRU_MIDDLE = THRU_PRIOR | MIDDLE
 
    ANY = THRU_MIDDLE | PERIOD
 

	
 

	
 
class BalanceKey(NamedTuple):
 
    account: data.Account
 
    classification: data.Account
 
    period: Period
 
    fund: Fund
 
    post_type: Optional[str]
 

	
 

	
 
class Balances:
 
    def __init__(self,
 
                 postings: Iterable[data.Posting],
 
                 start_date: datetime.date,
 
                 stop_date: datetime.date,
 
                 fund_key: str='project',
 
                 unrestricted_fund_value: str='Conservancy',
 
    ) -> None:
 
        year_diff = (stop_date - start_date).days // 365
 
        if year_diff == 0:
 
            self.prior_range = ranges.DateRange(
 
                cliutil.diff_year(start_date, -1),
 
                cliutil.diff_year(stop_date, -1),
 
            )
 
            self.period_desc = "Period"
 
        else:
 
            self.prior_range = ranges.DateRange(
 
                cliutil.diff_year(start_date, -year_diff),
 
                start_date,
 
            )
 
            self.period_desc = f"Year{'s' if year_diff > 1 else ''}"
 
        self.middle_range = ranges.DateRange(self.prior_range.stop, start_date)
 
        self.period_range = ranges.DateRange(start_date, stop_date)
 
        self.balances: Mapping[BalanceKey, core.MutableBalance] \
 
            = collections.defaultdict(core.MutableBalance)
 
        for post in postings:
 
            post_date = post.meta.date
 
            if post_date >= stop_date:
 
                continue
 
            elif post_date in self.period_range:
 
                period = Period.PERIOD
 
            elif post_date in self.middle_range:
 
                period = Period.MIDDLE
 
            elif post_date in self.prior_range:
 
                period = Period.PRIOR
 
            else:
 
                period = Period.OPENING
 
            if post.meta.get(fund_key) == unrestricted_fund_value:
 
                fund = Fund.UNRESTRICTED
 
            else:
 
                fund = Fund.RESTRICTED
 
            try:
 
                classification_s = post.account.meta['classification']
 
                if isinstance(classification_s, str):
 
                    classification = data.Account(classification_s)
 
                else:
 
                    raise TypeError()
 
            except (KeyError, TypeError):
 
                classification = post.account
 
            if post.account.root_part() == 'Expenses':
 
                post_type = post.meta.get('expense-type')
 
            else:
 
                post_type = None
 
            key = BalanceKey(post.account, classification, period, fund, post_type)
 
            self.balances[key] += post.at_cost()
 

	
 
    def total(self,
 
              account: Union[None, str, Collection[str]]=None,
 
              classification: Optional[str]=None,
 
              period: int=Period.ANY,
 
              fund: int=Fund.ANY,
 
              post_type: Optional[str]=None,
 
              *,
 
              account_exact: bool=False,
 
    ) -> core.Balance:
 
        if isinstance(account, str):
 
            account = (account,)
 
        acct_pred: Callable[[data.Account], bool]
 
        if account is None:
 
            acct_pred = lambda acct: True
 
        elif account_exact:
 
            # At this point, between this isinstance() above and the earlier
 
            # `account is None` check, we've collapsed the type of `account` to
 
            # `Collection[str]`. Unfortunately the logic is too involved for
 
            # mypy to follow, so ignore the type problem.
 
            acct_pred = lambda acct: acct in account  # type:ignore[operator]
 
        else:
 
            acct_pred = lambda acct: acct.is_under(*account) is not None  # type:ignore[misc]
 
        retval = core.MutableBalance()
 
        for key, balance in self.balances.items():
 
            if not acct_pred(key.account):
 
                pass
 
            elif not (classification is None
 
                      or key.classification.is_under(classification)):
 
                pass
 
            elif not period & key.period:
 
                pass
 
            elif not fund & key.fund:
 
                pass
 
            elif not (post_type is None or post_type == key.post_type):
 
                pass
 
            else:
 
                retval += balance
 
        return retval
 

	
 
    def classifications(self,
 
                        account: str,
 
                        sort_period: Optional[int]=None,
 
    ) -> Sequence[data.Account]:
 
        if sort_period is None:
 
            if account in EQUITY_ACCOUNTS:
 
            if account in data.EQUITY_ACCOUNTS:
 
                sort_period = Period.PERIOD
 
            else:
 
                sort_period = Period.ANY
 
        class_bals: Mapping[data.Account, core.MutableBalance] \
 
            = collections.defaultdict(core.MutableBalance)
 
        for key, balance in self.balances.items():
 
            if not key.account.is_under(account):
 
                pass
 
            elif key.period & sort_period:
 
                class_bals[key.classification] += balance
 
            else:
 
                # Ensure the balance exists in the mapping
 
                class_bals[key.classification]
 
        norm_func = core.normalize_amount_func(f'{account}:RootsOK')
 
        def sortkey(acct: data.Account) -> Hashable:
 
            prefix, _, _ = acct.rpartition(':')
 
            balance = norm_func(class_bals[acct])
 
            try:
 
                max_bal = max(amount.number for amount in balance.values())
 
            except ValueError:
 
                max_bal = Decimal(0)
 
            return prefix, -max_bal
 
        return sorted(class_bals, key=sortkey)
 

	
 
    def iter_accounts(self, root: Optional[str]=None) -> Sequence[data.Account]:
 
        start_date = self.period_range.start
 
        stop_date = self.period_range.stop
 
        return sorted(
 
            account
 
            for account in data.Account.iter_accounts(root)
 
            if account.meta.open_date < stop_date
 
            and (account.meta.close_date is None
 
                 or account.meta.close_date > start_date)
 
        )
 

	
 

	
 
class Report(core.BaseODS[Sequence[None], None]):
 
    C_CASH = 'Cash'
 
    NO_BALANCE = core.Balance()
 
    SPACE = ' ' * 4
 

	
 
    def __init__(self,
 
                 balances: Balances,
 
                 *,
 
                 date_fmt: str='%B %d, %Y',
 
    ) -> None:
 
        super().__init__()
 
        self.balances = balances
 
        self.period_desc = balances.period_desc
 
        self.date_fmt = date_fmt
 
        one_day = datetime.timedelta(days=1)
 
        date = balances.period_range.stop - one_day
 
        self.period_name = date.strftime(date_fmt)
 
        date = balances.prior_range.stop - one_day
 
        self.opening_name = date.strftime(date_fmt)
 
        self.last_totals_row = odf.table.TableRow()
 

	
 
    def section_key(self, row: Sequence[None]) -> None:
 
        raise NotImplementedError("balance_sheet.Report.section_key")
 

	
 
    def init_styles(self) -> None:
 
        super().init_styles()
 
        self.style_header = self.merge_styles(self.style_bold, self.style_centertext)
 
        self.style_huline = self.merge_styles(
 
            self.style_header,
 
            self.border_style(core.Border.BOTTOM, '1pt'),
 
        )
 

	
 
    def write_all(self) -> None:
 
        self.write_financial_position()
 
        self.write_activities()
 
        self.write_functional_expenses()
 
        self.write_cash_flows()
 
        self.write_trial_balances()
 

	
 
    def walk_classifications(self, cseq: Iterable[data.Account]) \
 
        -> Iterator[Tuple[str, Optional[data.Account]]]:
 
        last_prefix: Sequence[str] = []
 
        for classification in cseq:
 
            parts = classification.split(':')
 
            tail = parts.pop()
 
            space = self.SPACE * len(parts)
 
            if parts != last_prefix:
 
                yield f'{space[len(self.SPACE):]}{parts[-1]}', None
 
                last_prefix = parts
 
            yield f'{space}{tail}', classification
 

	
 
    def walk_classifications_by_account(
 
            self,
 
            account: str,
 
            sort_period: Optional[int]=None,
 
    ) -> Iterator[Tuple[str, Optional[data.Account]]]:
 
        return self.walk_classifications(self.balances.classifications(
 
            account, sort_period,
 
        ))
 

	
 
    def start_sheet(self,
 
                    sheet_name: str,
 
                    *headers: Iterable[str],
 
                    totals_prefix: Sequence[str]=(),
 
                    first_width: Union[float, str]=3,
 
                    width: Union[float, str]=1.5,
 
                    title_fmt: str="DRAFT Statement of {sheet_name}",
 
    ) -> None:
 
        header_cells: Sequence[odf.table.TableCell] = [
 
            odf.table.TableCell(),
 
            *(self.multiline_cell(header_lines, stylename=self.style_huline)
 
              for header_lines in headers),
 
            *(self.multiline_cell([*totals_prefix, date_s], stylename=self.style_huline)
 
              for date_s in [self.period_name, self.opening_name]),
 
        ]
 
        self.col_count = len(header_cells)
 
        self.use_sheet(sheet_name)
 
        for index in range(self.col_count):
 
            col_style = self.column_style(width if index else first_width)
 
            self.sheet.addElement(odf.table.TableColumn(stylename=col_style))
 
        start_date = self.balances.period_range.start.strftime(self.date_fmt)
 
        self.add_row(
 
            self.multiline_cell([
 
                title_fmt.format(sheet_name=sheet_name),
 
                f"{start_date}—{self.period_name}",
 
            ], numbercolumnsspanned=self.col_count, stylename=self.style_header)
 
        )
 
        self.add_row()
 
        self.add_row(*header_cells)
 

	
 
    def write_classifications_by_account(
 
            self,
 
            account: str,
 
            balance_kwargs: Sequence[KWArgs],
 
            exclude_classifications: Collection[str]=frozenset(),
 
            text_prefix: str='',
 
            norm_func: Optional[Callable[[core.Balance], core.Balance]]=None,
 
    ) -> Sequence[core.Balance]:
 
        if norm_func is None:
 
            norm_func = core.normalize_amount_func(f'{account}:RootsOK')
 
        assert len(balance_kwargs) + 1 == self.col_count, \
 
            "called write_classifications with wrong number of balance_kwargs"
 
        retval = [core.MutableBalance() for _ in balance_kwargs]
 
        for text, classification in self.walk_classifications_by_account(account):
 
            text_cell = self.string_cell(text_prefix + text)
 
            if classification is None:
 
                if not text[0].isspace():
 
                    self.add_row()
 
                self.add_row(text_cell)
 
            elif classification in exclude_classifications:
 
                pass
 
            else:
 
                row = self.add_row(text_cell)
 
                for kwargs, total_bal in zip(balance_kwargs, retval):
 
                    balance = norm_func(self.balances.total(
 
                        classification=classification, **kwargs,
 
                    ))
 
                    row.addElement(self.balance_cell(balance))
 
                    total_bal += balance
 
        return retval
 

	
 
    def write_totals_row(
 
            self,
 
            text: str,
 
            *balances: Sequence[core.Balance],
 
            stylename: Union[None, str, odf.style.Style]=None,
 
            leading_rows: Optional[int]=None,
 
    ) -> odf.table.TableRow:
 
        if leading_rows is None:
 
            if (self.sheet.lastChild is self.last_totals_row
 
                or stylename is self.style_bottomline):
 
                leading_rows = 1
 
            else:
 
                leading_rows = 0
 
        expect_len = self.col_count - 1
 
        assert all(len(seq) == expect_len for seq in balances), \
 
            "called write_totals_row with the wrong length of balance columns"
 
        for _ in range(leading_rows):
 
            self.add_row()
 
        self.last_totals_row = self.add_row(
 
            self.string_cell(text),
 
            *(self.balance_cell(
 
                sum(sum_bals, core.MutableBalance()),
 
                stylename=stylename,
 
            ) for sum_bals in zip(*balances)),
 
        )
 
        return self.last_totals_row
 

	
 
    def write_financial_position(self) -> None:
 
        self.start_sheet("Financial Position")
 
        balance_kwargs: Sequence[KWArgs] = [
 
            {'period': Period.ANY},
 
            {'period': Period.THRU_PRIOR},
 
        ]
 

	
 
        asset_totals = self.write_classifications_by_account('Assets', balance_kwargs)
 
        self.write_totals_row(
 
            "Total Assets", asset_totals, stylename=self.style_bottomline,
 
        )
 
        self.add_row()
 
        self.add_row()
 

	
 
        liabilities = self.write_classifications_by_account('Liabilities', balance_kwargs)
 
        self.write_totals_row(
 
            "Total Liabilities", liabilities, stylename=self.style_endtotal,
 
        )
 
        self.add_row()
 
        self.add_row()
 

	
 
        equity_totals = [core.MutableBalance() for _ in balance_kwargs]
 
        self.add_row(self.string_cell("Net Assets", stylename=self.style_bold))
 
        self.add_row()
 
        for fund in [Fund.UNRESTRICTED, Fund.RESTRICTED]:
 
            preposition = "Without" if fund is Fund.UNRESTRICTED else "With"
 
            row = self.add_row(self.string_cell(f"{preposition} donor restrictions"))
 
            for kwargs, total_bal in zip(balance_kwargs, equity_totals):
 
                balance = -self.balances.total(account=EQUITY_ACCOUNTS, fund=fund, **kwargs)
 
                balance = -self.balances.total(account=data.EQUITY_ACCOUNTS, fund=fund, **kwargs)
 
                row.addElement(self.balance_cell(balance))
 
                total_bal += balance
 
        self.write_totals_row(
 
            "Total Net Assets", equity_totals, stylename=self.style_total,
 
        )
 
        self.write_totals_row(
 
            "Total Liabilities and Net Assets",
 
            liabilities, equity_totals,
 
            stylename=self.style_bottomline,
 
        )
 

	
 
    def write_activities(self) -> None:
 
        self.start_sheet(
 
            "Activities",
 
            ["Without Donor", "Restrictions"],
 
            ["With Donor", "Restrictions"],
 
            totals_prefix=[f"Total {self.period_desc} Ended"],
 
        )
 
        bal_kwargs: Sequence[Dict[str, Any]] = [
 
            {'period': Period.PERIOD, 'fund': Fund.UNRESTRICTED},
 
            {'period': Period.PERIOD, 'fund': Fund.RESTRICTED},
 
            {'period': Period.PERIOD},
 
            {'period': Period.PRIOR},
 
        ]
 

	
 
        self.add_row(self.string_cell("Support and Revenue", stylename=self.style_bold))
 
        self.add_row()
 
        income_totals = self.write_classifications_by_account('Income', bal_kwargs)
 
        self.write_totals_row("", income_totals, stylename=self.style_total)
 
        self.add_row()
 
        self.add_row(
 
            self.string_cell("Net Assets released from restrictions:"),
 
        )
 
        released = self.balances.total(
 
            account=('Expenses', 'Equity'),
 
            period=Period.PERIOD,
 
            fund=Fund.RESTRICTED,
 
        )
 
        other_totals = [core.MutableBalance() for _ in bal_kwargs]
 
        other_totals[0] += released
 
        other_totals[1] -= released
 
        self.write_totals_row("Satisfaction of program restrictions", other_totals)
 
        self.write_totals_row(
 
            "Total Support and Revenue",
 
            income_totals, other_totals,
 
            stylename=self.style_endtotal,
 
        )
 

	
 
        period_expenses = core.MutableBalance()
 
        prior_expenses = core.MutableBalance()
 
        self.add_row()
 
        self.add_row(self.string_cell("Expenses", stylename=self.style_bold))
 
        self.add_row()
 
        for text, type_value in [
 
                ("Program services", 'program'),
 
                ("Management and administrative services", 'management'),
 
                ("Fundraising", 'fundraising'),
 
        ]:
 
            period_bal = self.balances.total(
 
                account='Expenses', period=Period.PERIOD, post_type=type_value,
 
            )
 
            prior_bal = self.balances.total(
 
                account='Expenses', period=Period.PRIOR, post_type=type_value,
 
            )
 
            self.write_totals_row(text, [
 
                period_bal,
 
                self.NO_BALANCE,
 
                period_bal,
 
                prior_bal,
 
            ], leading_rows=0)
 
            period_expenses += period_bal
 
            prior_expenses += prior_bal
 
        period_bal = self.balances.total(account='Expenses', period=Period.PERIOD)
 
        if (period_expenses - period_bal).clean_copy(1).is_zero():
 
            period_bal = period_expenses
 
        else:
 
            logger.warning("Period functional expenses do not match total; math in columns B+D is wrong")
 
        prior_bal = self.balances.total(account='Expenses', period=Period.PRIOR)
 
        if (prior_expenses - prior_bal).clean_copy(1).is_zero():
 
            prior_bal = prior_expenses
 
        else:
 
            logger.warning("Prior functional expenses do not match total; math in column E is wrong")
 
        self.write_totals_row("Total Expenses", [
 
            period_bal,
 
            self.NO_BALANCE,
 
            period_bal,
 
            prior_bal,
 
        ], stylename=self.style_endtotal, leading_rows=0)
 

	
 
        other_totals[0] -= period_bal
 
        other_totals[2] -= period_bal
 
        other_totals[3] -= prior_bal
 
        self.write_totals_row("Change in Net Assets", income_totals, other_totals)
 

	
 
        for kwargs in bal_kwargs:
 
            if kwargs['period'] is Period.PERIOD:
 
                kwargs['period'] = Period.THRU_MIDDLE
 
            else:
 
                kwargs['period'] = Period.OPENING
 
        equity_totals = [
 
            -self.balances.total(account=EQUITY_ACCOUNTS, **kwargs)
 
            -self.balances.total(account=data.EQUITY_ACCOUNTS, **kwargs)
 
            for kwargs in bal_kwargs
 
        ]
 
        self.write_totals_row("Beginning Net Assets", equity_totals)
 
        self.write_totals_row(
 
            "Ending Net Assets",
 
            income_totals, other_totals, equity_totals,
 
            stylename=self.style_bottomline,
 
        )
 

	
 
    def write_functional_expenses(self) -> None:
 
        self.start_sheet(
 
            "Functional Expenses",
 
            ["Program", "Services"],
 
            ["Management and", "Administrative"],
 
            ["Fundraising"],
 
            totals_prefix=[f"Total {self.period_desc} Ended"],
 
        )
 
        totals = self.write_classifications_by_account('Expenses', [
 
            {'period': Period.PERIOD, 'post_type': 'program'},
 
            {'period': Period.PERIOD, 'post_type': 'management'},
 
            {'period': Period.PERIOD, 'post_type': 'fundraising'},
 
            {'period': Period.PERIOD},
 
            {'period': Period.PRIOR},
 
        ])
 
        self.write_totals_row(
 
            "Total Expenses",
 
            totals,
 
            stylename=self.style_bottomline,
 
        )
 

	
 
    def write_cash_flows(self) -> None:
 
        self.start_sheet("Cash Flows")
 
        bal_kwargs: Sequence[Dict[str, Any]] = [
 
            {'period': Period.PERIOD},
 
            {'period': Period.PRIOR},
 
        ]
 
        norm_func = operator.neg
 

	
 
        self.add_row(self.string_cell(
 
            "Cash Flows from Operating Activities",
 
            stylename=self.style_bold,
 
        ))
 
        equity_totals = [
 
            -self.balances.total(account=EQUITY_ACCOUNTS, **kwargs)
 
            -self.balances.total(account=data.EQUITY_ACCOUNTS, **kwargs)
 
            for kwargs in bal_kwargs
 
        ]
 
        self.write_totals_row("Change in Net Assets", equity_totals, leading_rows=1)
 
        self.add_row(self.string_cell(
 
            "(Increase) decrease in operating assets:",
 
        ))
 
        asset_totals = self.write_classifications_by_account(
 
            'Assets', bal_kwargs, (self.C_CASH,), self.SPACE, norm_func,
 
        )
 
        self.add_row(self.string_cell(
 
            "Increase (decrease) in operating liabilities:",
 
        ))
 
        liabilities = self.write_classifications_by_account(
 
            'Liabilities', bal_kwargs, (), self.SPACE, norm_func,
 
        )
 
        period_totals = [
 
            sum(bals, core.MutableBalance())
 
            for bals in zip(equity_totals, asset_totals, liabilities)
 
        ]
 
        self.write_totals_row(
 
            "Net cash provided by operating activities",
 
            period_totals,
 
            stylename=self.style_endtotal,
 
        )
 
        self.write_totals_row("Net Increase in Cash", period_totals)
 
        begin_totals = [
 
            self.balances.total(classification=self.C_CASH, period=period)
 
            for period in [Period.THRU_MIDDLE, Period.OPENING]
 
        ]
 
        self.write_totals_row("Beginning Cash", begin_totals)
 
        self.write_totals_row(
 
            "Ending Cash",
 
            period_totals, begin_totals,
 
            stylename=self.style_bottomline,
 
        )
 

	
 
    def write_trial_balances(self) -> None:
 
        self.start_sheet(
 
            "Trial Balances",
 
            ["Account Name"],
 
            ["Classification"],
 
            ["Account Code"],
 
            ["Balance Beginning", self.balances.period_range.start.strftime(self.date_fmt)],
 
            totals_prefix=["Change During", f"{self.period_desc} Ending"],
 
            title_fmt="Chart of Accounts with DRAFT {sheet_name}",
 
        )
 
        # Widen text columns
 
        col_style = self.column_style(3.5)
 
        for col in self.sheet.childNodes[:2]:
 
            col.setAttribute('stylename', col_style)
 
        # Patch up header row text
 
        header_row = self.sheet.lastChild
 
        header_row.removeChild(header_row.firstChild)
 
        header_row.insertBefore(self.multiline_cell(
 
            ["Balance Ending", self.period_name],
 
            stylename=header_row.lastChild.getAttribute('stylename'),
 
        ), header_row.lastChild)
 

	
 
        for acct_root in ['Assets', 'Liabilities', 'Income', 'Expenses', 'Equity']:
 
            norm_func = core.normalize_amount_func(f'{acct_root}:Dummy')
 
            want_balance = acct_root not in EQUITY_ACCOUNTS
 
            want_balance = acct_root not in data.EQUITY_ACCOUNTS
 
            self.add_row()
 
            for account in self.balances.iter_accounts(acct_root):
 
                period_bal = self.balances.total(
 
                    account=account, period=Period.PERIOD, account_exact=True,
 
                )
 
                prior_bal = self.balances.total(
 
                    account=account, period=Period.PRIOR, account_exact=True,
 
                )
 
                if want_balance:
 
                    close_bal = self.balances.total(account=account, account_exact=True)
 
                    close_cell = self.balance_cell(norm_func(close_bal))
 
                    open_cell = self.balance_cell(norm_func(close_bal - period_bal))
 
                else:
 
                    close_cell = odf.table.TableCell()
 
                    open_cell = odf.table.TableCell()
 
                self.add_row(
 
                    self.string_cell(account),
 
                    self.string_cell(account.meta.get('classification', '')),
 
                    self.string_cell(account.meta.get('account-code', '')),
 
                    open_cell,
 
                    self.balance_cell(norm_func(period_bal)),
 
                    close_cell,
 
                    self.balance_cell(norm_func(prior_bal)),
 
                )
 

	
 

	
 
def parse_arguments(arglist: Optional[Sequence[str]]=None) -> argparse.Namespace:
 
    parser = argparse.ArgumentParser(prog=PROGNAME)
 
    cliutil.add_version_argument(parser)
 
    parser.add_argument(
 
        '--begin', '--start', '-b',
 
        dest='start_date',
 
        metavar='DATE',
 
        type=cliutil.date_arg,
 
        help="""Date to start reporting entries, inclusive, in YYYY-MM-DD format.
 
The default is one year ago.
 
""")
 
    parser.add_argument(
 
        '--end', '--stop', '-e',
 
        dest='stop_date',
 
        metavar='DATE',
 
        type=cliutil.date_arg,
 
        help="""Date to stop reporting entries, exclusive, in YYYY-MM-DD format.
 
The default is a year after the start date.
 
""")
 
    cliutil.add_rewrite_rules_argument(parser)
 
    parser.add_argument(
 
        '--fund-metadata-key', '-m',
 
        metavar='KEY',
 
        default='project',
 
        help="""Name of the fund metadata key. Default %(default)s.
 
""")
 
    parser.add_argument(
 
        '--unrestricted-fund', '-u',
 
        metavar='PROJECT',
 
        default='Conservancy',
 
        help="""Name of the unrestricted fund. Default %(default)s.
 
""")
 
    parser.add_argument(
 
        '--output-file', '-O',
 
        metavar='PATH',
 
        type=Path,
 
        help="""Write the report to this file, or stdout when PATH is `-`.
 
""")
 
    cliutil.add_loglevel_argument(parser)
 
    return parser.parse_args(arglist)
 

	
 
def main(arglist: Optional[Sequence[str]]=None,
 
         stdout: TextIO=sys.stdout,
 
         stderr: TextIO=sys.stderr,
 
         config: Optional[configmod.Config]=None,
 
) -> int:
 
    args = parse_arguments(arglist)
 
    cliutil.set_loglevel(logger, args.loglevel)
 
    if config is None:
 
        config = configmod.Config()
 
        config.load_file()
 

	
 
    if args.stop_date is None:
 
        if args.start_date is None:
 
            args.stop_date = datetime.date.today()
 
        else:
 
            args.stop_date = cliutil.diff_year(args.start_date, 1)
 
    if args.start_date is None:
 
        args.start_date = cliutil.diff_year(args.stop_date, -1)
 

	
 
    returncode = 0
 
    books_loader = config.books_loader()
 
    if books_loader is None:
 
        entries, load_errors, options_map = books.Loader.load_none(config.config_file_path())
 
        returncode = cliutil.ExitCode.NoConfiguration
 
    else:
 
        start_fy = config.fiscal_year_begin().for_date(args.start_date) - 1
 
        entries, load_errors, options_map = books_loader.load_fy_range(start_fy, args.stop_date)
 
        if load_errors:
 
            returncode = cliutil.ExitCode.BeancountErrors
 
        elif not entries:
 
            returncode = cliutil.ExitCode.NoDataLoaded
 
    for error in load_errors:
 
        bc_printer.print_error(error, file=stderr)
 

	
 
    data.Account.load_from_books(entries, options_map)
 
    postings = data.Posting.from_entries(entries)
 
    for rewrite_path in args.rewrite_rules:
 
        try:
 
            ruleset = rewrite.RewriteRuleset.from_yaml(rewrite_path)
 
        except ValueError as error:
 
            logger.critical("failed loading rewrite rules from %s: %s",
 
                            rewrite_path, error.args[0])
 
            return cliutil.ExitCode.RewriteRulesError
 
        postings = ruleset.rewrite(postings)
 

	
 
    balances = Balances(
 
        postings,
 
        args.start_date,
 
        args.stop_date,
 
        args.fund_metadata_key,
 
        args.unrestricted_fund,
 
    )
 
    report = Report(balances)
 
    report.set_common_properties(config.books_repo())
 
    report.write_all()
 
    if args.output_file is None:
 
        out_dir_path = config.repository_path() or Path()
 
        args.output_file = out_dir_path / 'BalanceSheet_{}_{}.ods'.format(
 
            args.start_date.isoformat(), args.stop_date.isoformat(),
 
        )
 
        logger.info("Writing report to %s", args.output_file)
 
    ods_file = cliutil.bytes_output(args.output_file, stdout)
 
    report.save_file(ods_file)
 
    return returncode
 

	
 
entry_point = cliutil.make_entry_point(__name__, PROGNAME)
 

	
 
if __name__ == '__main__':
 
    exit(entry_point())
conservancy_beancount/tools/opening_balances.py
Show inline comments
 
#!/usr/bin/env python3
 
"""opening_balances.py - Tool to generate opening balances transactions
 

	
 
This tool generates an opening balances transaction for a given date and writes
 
it to stdout. Use this when you close the books for a year to record the final
 
balances for that year.
 

	
 
Run it without arguments to generate opening balances for the current fiscal
 
year. You can also specify a fiscal year to generate opening balances for, or
 
even a specific date (which can be helpful for testing or debugging).
 
"""
 
# SPDX-FileCopyrightText: © 2020 Martin Michlmayr <tbm@cyrius.com>
 
# SPDX-FileCopyrightText: © 2020 Brett Smith
 
# SPDX-License-Identifier: AGPL-3.0-or-later
 
#
 
# This program is free software: you can redistribute it and/or modify
 
# it under the terms of the GNU Affero General Public License as published by
 
# the Free Software Foundation, either version 3 of the License, or
 
# (at your option) any later version.
 
#
 
# This program is distributed in the hope that it will be useful,
 
# but WITHOUT ANY WARRANTY; without even the implied warranty of
 
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 
# GNU Affero General Public License for more details.
 
#
 
# You should have received a copy of the GNU Affero General Public License
 
# along with this program.  If not, see <https://www.gnu.org/licenses/>.
 

	
 
import argparse
 
import collections
 
import copy
 
import datetime
 
import enum
 
import locale
 
import logging
 
import sys
 

	
 
from typing import (
 
    Dict,
 
    Hashable,
 
    Iterable,
 
    Iterator,
 
    Mapping,
 
    NamedTuple,
 
    Optional,
 
    Sequence,
 
    TextIO,
 
    Tuple,
 
)
 
from ..beancount_types import (
 
    Error,
 
    MetaKey,
 
    MetaValue,
 
    Transaction,
 
)
 

	
 
from decimal import Decimal, ROUND_HALF_EVEN, ROUND_HALF_UP
 

	
 
from .. import books
 
from .. import cliutil
 
from .. import config as configmod
 
from .. import data
 
from ..reports.core import Balance
 

	
 
from beancount.core import data as bc_data
 
from beancount.core import display_context as bc_dcontext
 
from beancount.parser import printer as bc_printer
 

	
 
from beancount.core.convert import get_cost
 
from beancount.core.inventory import Inventory
 
from beancount.core.position import Position, get_position
 

	
 
EQUITY_ACCOUNTS = frozenset([
 
    'Equity',
 
    'Expenses',
 
    'Income',
 
])
 
FUND_ACCOUNTS = frozenset([
 
    'Assets:Prepaid',
 
    'Assets:Receivable',
 
    'Equity:Funds',
 
    'Equity:Realized',
 
    'Expenses',
 
    'Income',
 
    'Liabilities:Payable',
 
    'Liabilities:UnearnedIncome',
 
])
 
RESTRICTED_ACCOUNT = data.Account('Equity:Funds:Restricted')
 
UNRESTRICTED_ACCOUNT = data.Account('Equity:Funds:Unrestricted')
 
PROGNAME = 'opening-balances'
 
logger = logging.getLogger('conservancy_beancount.tools.opening_balances')
 

	
 
def quantize_amount(
 
        amount: data.Amount,
 
        exp: Decimal=Decimal('.01'),
 
        rounding: str=ROUND_HALF_EVEN,
 
) -> data.Amount:
 
    return amount._replace(number=amount.number.quantize(exp, rounding=rounding))
 

	
 
class AccountWithFund(NamedTuple):
 
    account: data.Account
 
    fund: Optional[MetaValue]
 

	
 
    def sortkey(self) -> Hashable:
 
        account, fund = self
 
        return (
 
            0 if fund is None else 1,
 
            locale.strxfrm(account),
 
            locale.strxfrm(str(fund).casefold()),
 
        )
 

	
 

	
 
class Posting(data.Posting):
 
    @staticmethod
 
    def _position_sortkey(position: Position) -> str:
 
        units, cost = position
 
        if cost is None:
 
            # Beancount type-declares that position.cost must be a Cost, but
 
            # in practice that's not true. Call get_position(post) on any
 
            # post without a cost and see what it returns. Hence the ignore.
 
            return units.currency  # type:ignore[unreachable]
 
        else:
 
            return f'{units.currency} {cost.currency} {cost.date.isoformat()}'
 

	
 
    @classmethod
 
    def build_opening(
 
            cls,
 
            key: AccountWithFund,
 
            meta_key: MetaKey,
 
            inventory: Inventory,
 
    ) -> Iterator[bc_data.Posting]:
 
        account, project = key
 
        if project is None:
 
            meta: Optional[Dict[MetaKey, MetaValue]] = None
 
        else:
 
            meta = {meta_key: project}
 
        for units, cost in sorted(inventory, key=cls._position_sortkey):
 
            if cost is None:
 
                units = quantize_amount(units)
 
            yield bc_data.Posting(
 
                account, units, cost, None, None, copy.copy(meta),
 
            )
 

	
 

	
 
def parse_arguments(arglist: Optional[Sequence[str]]=None) -> argparse.Namespace:
 
    parser = argparse.ArgumentParser(prog=PROGNAME)
 
    cliutil.add_version_argument(parser)
 
    cliutil.add_loglevel_argument(parser)
 
    parser.add_argument(
 
        '--fund-metadata-key', '-m',
 
        metavar='KEY',
 
        dest='meta_key',
 
        default='project',
 
        help="""Name of the fund metadata key. Default %(default)s.
 
""")
 
    parser.add_argument(
 
        '--unrestricted-fund', '-u',
 
        metavar='PROJECT',
 
        default='Conservancy',
 
        help="""Name of the unrestricted fund. Default %(default)s.
 
""")
 
    parser.add_argument(
 
        'as_of_date',
 
        metavar='YEAR_OR_DATE',
 
        type=cliutil.year_or_date_arg,
 
        nargs='?',
 
        help="""Date to generate opening balances for. You can provide just
 
a year to generate balances for the start of that fiscal year. Defaults to the
 
current fiscal year.
 
""")
 
    return parser.parse_args(arglist)
 

	
 
def main(arglist: Optional[Sequence[str]]=None,
 
         stdout: TextIO=sys.stdout,
 
         stderr: TextIO=sys.stderr,
 
         config: Optional[configmod.Config]=None,
 
) -> int:
 
    args = parse_arguments(arglist)
 
    cliutil.set_loglevel(logger, args.loglevel)
 
    if config is None:
 
        config = configmod.Config()
 
        config.load_file()
 

	
 
    fy = config.fiscal_year_begin()
 
    if args.as_of_date is None:
 
        args.as_of_date = fy.for_date()
 
    if isinstance(args.as_of_date, int):
 
        args.as_of_date = fy.first_date(args.as_of_date)
 

	
 
    returncode = 0
 
    books_loader = config.books_loader()
 
    if books_loader is None:
 
        entries, load_errors, _ = books.Loader.load_none(config.config_file_path())
 
        returncode = cliutil.ExitCode.NoConfiguration
 
    else:
 
        entries, load_errors, _ = books_loader.load_fy_range(0, args.as_of_date)
 
        if load_errors:
 
            returncode = cliutil.ExitCode.BeancountErrors
 
        elif not entries:
 
            returncode = cliutil.ExitCode.NoDataLoaded
 
    for error in load_errors:
 
        bc_printer.print_error(error, file=stderr)
 

	
 
    inventories: Mapping[AccountWithFund, Inventory] = collections.defaultdict(Inventory)
 
    for post in Posting.from_entries(entries):
 
        if post.meta.date >= args.as_of_date:
 
            continue
 
        account = post.account
 
        fund_acct_match = post.account.is_under(*FUND_ACCOUNTS)
 
        is_equity = account.root_part() in EQUITY_ACCOUNTS
 
        fund_acct_match = post.account.is_under(*data.FUND_ACCOUNTS)
 
        is_equity = account.root_part() in data.EQUITY_ACCOUNTS
 
        if fund_acct_match is None:
 
            project: MetaValue = None
 
        else:
 
            project = post.meta.get(args.meta_key)
 
            if project is None:
 
                bc_printer.print_error(Error(
 
                    post.meta, "no fund specified", post.meta.txn,
 
                ), file=stderr)
 
                project = args.unrestricted_fund
 
            if is_equity:
 
                if project == args.unrestricted_fund:
 
                    account = UNRESTRICTED_ACCOUNT
 
                else:
 
                    account = RESTRICTED_ACCOUNT
 
        inventory = inventories[AccountWithFund(account, project)]
 
        if is_equity:
 
            inventory.add_amount(post.at_cost())
 
        else:
 
            inventory.add_position(get_position(post))
 

	
 
    opening_date = args.as_of_date - datetime.timedelta(1)
 
    opening = bc_data.Transaction(  # type:ignore[operator]
 
        None,  # meta
 
        opening_date,
 
        '*',
 
        None,  # payee
 
        f"Opening balances for FY{fy.for_date(args.as_of_date)}",
 
        frozenset(),  # tags
 
        frozenset(),  # links
 
        [post
 
         for key in sorted(inventories, key=AccountWithFund.sortkey)
 
         for post in Posting.build_opening(key, args.meta_key, inventories[key])
 
        ])
 
    balance = Balance(get_cost(get_position(post))
 
                      for post in opening.postings)
 
    for amount in balance.clean_copy().values():
 
        opening.postings.append(bc_data.Posting(
 
            UNRESTRICTED_ACCOUNT, quantize_amount(-amount), None, None, None,
 
            {args.meta_key: args.unrestricted_fund},
 
        ))
 
    dcontext = bc_dcontext.DisplayContext()
 
    dcontext.set_commas(True)
 
    bc_printer.print_entry(opening, dcontext, file=stdout)
 
    return returncode
 

	
 
entry_point = cliutil.make_entry_point(__name__, PROGNAME)
 

	
 
if __name__ == '__main__':
 
    exit(entry_point())
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