account-financial-reporting/mis_builder/models/mis_builder.py

# -*- coding: utf-8 -*-
# © 2014-2015 ACSONE SA/NV (<http://acsone.eu>)
# License AGPL-3.0 or later (https://www.gnu.org/licenses/agpl.html).

from collections import defaultdict, OrderedDict
import datetime
import dateutil
import logging
import re
import time
import traceback

import pytz

from openerp import api, exceptions, fields, models, _
from openerp.tools.safe_eval import safe_eval

from .aep import AccountingExpressionProcessor as AEP
from .aggregate import _sum, _avg, _min, _max
from .accounting_none import AccountingNone
from openerp.exceptions import UserError
from .simple_array import SimpleArray

_logger = logging.getLogger(__name__)


class DataError(Exception):

    def __init__(self, name, msg):
        self.name = name
        self.msg = msg


class AutoStruct(object):

    def __init__(self, **kwargs):
        for k, v in kwargs.items():
            setattr(self, k, v)


class KpiMatrix(object):
    """ This object holds the computation results in a way
    that can be browsed easily for rendering """

    def __init__(self):
        # { period: {kpi: vals}
        self._kpi_vals = defaultdict(dict)
        # { period: {kpi: {account_id: vals}}}
        self._kpi_exploded_vals = defaultdict(dict)
        # { period: localdict }
        self._localdict = {}
        # { kpi: set(account_ids) }
        self._kpis = OrderedDict()
        # { account_id: account name }
        self._account_names_by_id = {}

    def set_kpi_vals(self, period, kpi, vals):
        """ Set the values for a kpi in a period

        vals is a list of sub-kpi values.
        """
        self._kpi_vals[period][kpi] = vals
        if kpi not in self._kpis:
            self._kpis[kpi] = set()

    def set_kpi_exploded_vals(self, period, kpi, account_id, vals):
        """ Set the detail values for a kpi in a period for a GL account

        This is used by the automatic details mechanism.

        vals is a list of sub-kpi values.
        """
        exploded_vals = self._kpi_exploded_vals[period]
        if kpi not in exploded_vals:
            exploded_vals[kpi] = {}
        exploded_vals[kpi][account_id] = vals
        self._kpis[kpi].add(account_id)

    def set_localdict(self, period, localdict):
        # TODO FIXME to be removed when we have styles
        self._localdict[period] = localdict

    def get_localdict(self, period):
        # TODO FIXME to be removed when we have styles
        return self._localdict[period]

    def iter_kpi_vals(self, period):
        """ Iterate kpi values, including auto-expanded details by account

        It yields, in no specific order:
            * kpi technical name
            * kpi object
            * subkpi values tuple
        """
        for kpi, vals in self._kpi_vals[period].iteritems():
            yield kpi.name, kpi, vals
            kpi_exploded_vals = self._kpi_exploded_vals[period]
            if kpi not in kpi_exploded_vals:
                continue
            for account_id, account_id_vals in \
                    kpi_exploded_vals[kpi].iteritems():
                yield "%s:%s" % (kpi.name, account_id), kpi, account_id_vals

    def iter_kpis(self):
        """ Iterate kpis, including auto-expanded details by accounts

        It yields, in display order:
            * kpi technical name
            * kpi display name
            * kpi object
        """
        for kpi, account_ids in self._kpis.iteritems():
            yield kpi.name, kpi.description, kpi
            for account_id in sorted(account_ids, key=self.get_account_name):
                yield "%s:%s" % (kpi.name, account_id), \
                    self.get_account_name(account_id), kpi

    def get_exploded_account_ids(self):
        """ Get the list of auto-expanded account ids

        It returns the complete list, across all periods and kpis.
        This method must be called after setting all kpi values
        using set_kpi_vals and set_exploded_kpi_vals.
        """
        res = set()
        for kpi, account_ids in self._kpis.iteritems():
            res.update(account_ids)
        return list(res)

    def load_account_names(self, account_obj):
        """ Load account names for all exploded account ids

        This method must be called after setting all kpi values
        using set_kpi_vals and set_exploded_kpi_vals, and before
        calling get_account_name().
        """
        account_data = account_obj.browse(self.get_exploded_account_ids())
        self._account_names_by_id = {a.id: u"{} {}".format(a.code, a.name)
                                     for a in account_data}

    def get_account_name(self, account_id):
        """ Get account display name from it's id

        This method must be called after loading account names with
        load_account_names().
        """
        return self._account_names_by_id.get(account_id, account_id)


def _get_selection_label(selection, value):
    for v, l in selection:
        if v == value:
            return l
    return ''


def _utc_midnight(d, tz_name, add_day=0):
    d = fields.Datetime.from_string(d) + datetime.timedelta(days=add_day)
    utc_tz = pytz.timezone('UTC')
    context_tz = pytz.timezone(tz_name)
    local_timestamp = context_tz.localize(d, is_dst=False)
    return fields.Datetime.to_string(local_timestamp.astimezone(utc_tz))


def _python_var(var_str):
    return re.sub(r'\W|^(?=\d)', '_', var_str).lower()


def _is_valid_python_var(name):
    return re.match("[_A-Za-z][_a-zA-Z0-9]*$", name)


class MisReportKpi(models.Model):
    """ A KPI is an element (ie a line) of a MIS report.

    In addition to a name and description, it has an expression
    to compute it based on queries defined in the MIS report.
    It also has various informations defining how to render it
    (numeric or percentage or a string, a prefix, a suffix, divider) and
    how to render comparison of two values of the KPI.
    KPI's have a sequence and are ordered inside the MIS report.
    """

    _name = 'mis.report.kpi'

    name = fields.Char(size=32, required=True,
                       string='Name')
    description = fields.Char(required=True,
                              string='Description',
                              translate=True)
    multi = fields.Boolean()
    expression = fields.Char(
        compute='_compute_expression',
        inverse='_inverse_expression')
    expression_ids = fields.One2many('mis.report.kpi.expression', 'kpi_id')
    auto_expand_accounts = fields.Boolean(string='Display details by account')
    default_css_style = fields.Char(string='Default CSS style')
    css_style = fields.Char(string='CSS style expression')
    type = fields.Selection([('num', _('Numeric')),
                             ('pct', _('Percentage')),
                             ('str', _('String'))],
                            required=True,
                            string='Type',
                            default='num')
    divider = fields.Selection([('1e-6', _('µ')),
                                ('1e-3', _('m')),
                                ('1', _('1')),
                                ('1e3', _('k')),
                                ('1e6', _('M'))],
                               string='Factor',
                               default='1')
    dp = fields.Integer(string='Rounding', default=0)
    prefix = fields.Char(size=16, string='Prefix')
    suffix = fields.Char(size=16, string='Suffix')
    compare_method = fields.Selection([('diff', _('Difference')),
                                       ('pct', _('Percentage')),
                                       ('none', _('None'))],
                                      required=True,
                                      string='Comparison Method',
                                      default='pct')
    sequence = fields.Integer(string='Sequence', default=100)
    report_id = fields.Many2one('mis.report',
                                string='Report',
                                ondelete='cascade')

    _order = 'sequence, id'

    @api.one
    @api.constrains('name')
    def _check_name(self):
        if not _is_valid_python_var(self.name):
            raise exceptions.Warning(_('The name must be a valid '
                                       'python identifier'))

    @api.onchange('name')
    def _onchange_name(self):
        if self.name and not _is_valid_python_var(self.name):
            return {
                'warning': {
                    'title': 'Invalid name %s' % self.name,
                    'message': 'The name must be a valid python identifier'
                }
            }

    @api.multi
    def _compute_expression(self):
        for kpi in self:
            l = []
            for expression in kpi.expression_ids:
                if expression.subkpi_id:
                    l.append('{}={}'.format(
                        expression.subkpi_id.name, expression.name))
                else:
                    l.append(
                        expression.name)
            kpi.expression = ',\n'.join(l)

    @api.multi
    def _inverse_expression(self):
        for kpi in self:
            if kpi.multi:
                raise UserError('Can not update a multi kpi from the kpi line')
            if kpi.expression_ids:
                kpi.expression_ids[0].write({
                    'name': kpi.expression,
                    'subkpi_id': None})
                for expression in kpi.expression_ids[1:]:
                    expression.unlink()
            else:
                kpi.write({
                    'expression_ids': [(0, 0, {
                        'name': kpi.expression
                        })]
                    })

    @api.onchange('multi')
    def _onchange_multi(self):
        for kpi in self:
            if not kpi.multi:
                if kpi.expression_ids:
                    kpi.expression = kpi.expression_ids[0].name
                else:
                    kpi.expression = None
            else:
                expressions = []
                for subkpi in kpi.report_id.subkpi_ids:
                    expressions.append((0, 0, {
                        'name': kpi.expression,
                        'subkpi_id': subkpi.id,
                        }))
                kpi.expression_ids = expressions

    @api.onchange('description')
    def _onchange_description(self):
        """ construct name from description """
        if self.description and not self.name:
            self.name = _python_var(self.description)

    @api.onchange('type')
    def _onchange_type(self):
        if self.type == 'num':
            self.compare_method = 'pct'
            self.divider = '1'
            self.dp = 0
        elif self.type == 'pct':
            self.compare_method = 'diff'
            self.divider = '1'
            self.dp = 0
        elif self.type == 'str':
            self.compare_method = 'none'
            self.divider = ''
            self.dp = 0

    def render(self, lang_id, value):
        """ render a KPI value as a unicode string, ready for display """
        assert len(self) == 1
        if value is None or value == AccountingNone:
            return ''
        elif self.type == 'num':
            return self._render_num(lang_id, value, self.divider,
                                    self.dp, self.prefix, self.suffix)
        elif self.type == 'pct':
            return self._render_num(lang_id, value, 0.01,
                                    self.dp, '', '%')
        else:
            return unicode(value)

    def render_comparison(self, lang_id, value, base_value,
                          average_value, average_base_value):
        """ render the comparison of two KPI values, ready for display

        If the difference is 0, an empty string is returned.
        """
        assert len(self) == 1
        if value is None:
            value = AccountingNone
        if base_value is None:
            base_value = AccountingNone
        if self.type == 'pct':
            delta = value - base_value
            if delta and round(delta, self.dp) != 0:
                return self._render_num(
                    lang_id,
                    delta,
                    0.01, self.dp, '', _('pp'),
                    sign='+')
        elif self.type == 'num':
            if value and average_value:
                value = value / float(average_value)
            if base_value and average_base_value:
                base_value = base_value / float(average_base_value)
            if self.compare_method == 'diff':
                delta = value - base_value
                if delta and round(delta, self.dp) != 0:
                    return self._render_num(
                        lang_id,
                        delta,
                        self.divider, self.dp, self.prefix, self.suffix,
                        sign='+')
            elif self.compare_method == 'pct':
                if base_value and round(base_value, self.dp) != 0:
                    delta = (value - base_value) / abs(base_value)
                    if delta and round(delta, self.dp) != 0:
                        return self._render_num(
                            lang_id,
                            delta,
                            0.01, self.dp, '', '%',
                            sign='+')
        return ''

    def _render_num(self, lang_id, value, divider,
                    dp, prefix, suffix, sign='-'):
        divider_label = _get_selection_label(
            self._columns['divider'].selection, divider)
        if divider_label == '1':
            divider_label = ''
        # format number following user language
        value = round(value / float(divider or 1), dp) or 0
        value = self.env['res.lang'].browse(lang_id).format(
            '%%%s.%df' % (sign, dp),
            value,
            grouping=True)
        value = u'%s\N{NARROW NO-BREAK SPACE}%s\N{NO-BREAK SPACE}%s%s' % \
            (prefix or '', value, divider_label, suffix or '')
        value = value.replace('-', u'\N{NON-BREAKING HYPHEN}')
        return value


class MisReportSubkpi(models.Model):
    _name = 'mis.report.subkpi'
    _order = 'sequence'

    sequence = fields.Integer()
    report_id = fields.Many2one('mis.report')
    name = fields.Char(required=True)
    expression_ids = fields.One2many('mis.report.kpi.expression', 'subkpi_id')

    @api.multi
    def unlink(self):
        for subkpi in self:
            subkpi.expression_ids.unlink()
        return super(MisReportSubkpi, self).unlink()


class MisReportKpiExpression(models.Model):
    """ A KPI Expression is an expression of a line of a MIS report Kpi.
    It's used to compute the kpi value.
    """

    _name = 'mis.report.kpi.expression'
    _order = 'sequence, name'

    sequence = fields.Integer(
        related='subkpi_id.sequence',
        store=True,
        readonly=True)
    name = fields.Char(string='Expression')
    kpi_id = fields.Many2one('mis.report.kpi')
    subkpi_id = fields.Many2one(
        'mis.report.subkpi',
        readonly=True)


class MisReportQuery(models.Model):
    """ A query to fetch arbitrary data for a MIS report.

    A query works on a model and has a domain and list of fields to fetch.
    At runtime, the domain is expanded with a "and" on the date/datetime field.
    """

    _name = 'mis.report.query'

    @api.one
    @api.depends('field_ids')
    def _compute_field_names(self):
        field_names = [field.name for field in self.field_ids]
        self.field_names = ', '.join(field_names)

    name = fields.Char(size=32, required=True,
                       string='Name')
    model_id = fields.Many2one('ir.model', required=True,
                               string='Model')
    field_ids = fields.Many2many('ir.model.fields', required=True,
                                 string='Fields to fetch')
    field_names = fields.Char(compute='_compute_field_names',
                              string='Fetched fields name')
    aggregate = fields.Selection([('sum', _('Sum')),
                                  ('avg', _('Average')),
                                  ('min', _('Min')),
                                  ('max', _('Max'))],
                                 string='Aggregate')
    date_field = fields.Many2one('ir.model.fields', required=True,
                                 string='Date field',
                                 domain=[('ttype', 'in',
                                         ('date', 'datetime'))])
    domain = fields.Char(string='Domain')
    report_id = fields.Many2one('mis.report', string='Report',
                                ondelete='cascade')

    _order = 'name'

    @api.one
    @api.constrains('name')
    def _check_name(self):
        if not _is_valid_python_var(self.name):
            raise exceptions.Warning(_('The name must be a valid '
                                       'python identifier'))


class MisReport(models.Model):
    """ A MIS report template (without period information)

    The MIS report holds:
    * a list of explicit queries; the result of each query is
      stored in a variable with same name as a query, containing as list
      of data structures populated with attributes for each fields to fetch;
      when queries have an aggregate method and no fields to group, it returns
      a data structure with the aggregated fields
    * a list of KPI to be evaluated based on the variables resulting
      from the accounting data and queries (KPI expressions can references
      queries and accounting expression - see AccoutingExpressionProcessor)
    """

    _name = 'mis.report'

    name = fields.Char(required=True,
                       string='Name', translate=True)
    description = fields.Char(required=False,
                              string='Description', translate=True)
    query_ids = fields.One2many('mis.report.query', 'report_id',
                                string='Queries',
                                copy=True)
    kpi_ids = fields.One2many('mis.report.kpi', 'report_id',
                              string='KPI\'s',
                              copy=True)
    subkpi_ids = fields.One2many(
        'mis.report.subkpi',
        'report_id',
        string="Sub KPI")

    @api.one
    def copy(self, default=None):
        default = dict(default or {})
        default['name'] = _('%s (copy)') % self.name
        return super(MisReport, self).copy(default)

    # TODO: kpi name cannot be start with query name

    @api.multi
    def _prepare_aep(self, company):
        self.ensure_one()
        aep = AEP(self.env)
        for kpi in self.kpi_ids:
            aep.parse_expr(kpi.expression)
        aep.done_parsing(company)
        return aep

    @api.multi
    def _fetch_queries(self, date_from, date_to,
                       get_additional_query_filter=None):
        self.ensure_one()
        res = {}
        for query in self.query_ids:
            model = self.env[query.model_id.model]
            eval_context = {
                'env': self.env,
                'time': time,
                'datetime': datetime,
                'dateutil': dateutil,
                # deprecated
                'uid': self.env.uid,
                'context': self.env.context,
            }
            domain = query.domain and \
                safe_eval(query.domain, eval_context) or []
            if get_additional_query_filter:
                domain.extend(get_additional_query_filter(query))
            if query.date_field.ttype == 'date':
                domain.extend([(query.date_field.name, '>=', date_from),
                               (query.date_field.name, '<=', date_to)])
            else:
                datetime_from = _utc_midnight(
                    date_from, self._context.get('tz', 'UTC'))
                datetime_to = _utc_midnight(
                    date_to, self._context.get('tz', 'UTC'), add_day=1)
                domain.extend([(query.date_field.name, '>=', datetime_from),
                               (query.date_field.name, '<', datetime_to)])
            field_names = [f.name for f in query.field_ids]
            if not query.aggregate:
                data = model.search_read(domain, field_names)
                res[query.name] = [AutoStruct(**d) for d in data]
            elif query.aggregate == 'sum':
                data = model.read_group(
                    domain, field_names, [])
                s = AutoStruct(count=data[0]['__count'])
                for field_name in field_names:
                    v = data[0][field_name]
                    setattr(s, field_name, v)
                res[query.name] = s
            else:
                data = model.search_read(domain, field_names)
                s = AutoStruct(count=len(data))
                if query.aggregate == 'min':
                    agg = _min
                elif query.aggregate == 'max':
                    agg = _max
                elif query.aggregate == 'avg':
                    agg = _avg
                for field_name in field_names:
                    setattr(s, field_name,
                            agg([d[field_name] for d in data]))
                res[query.name] = s
        return res

    @api.multi
    def _compute(self, kpi_matrix, kpi_matrix_period,
                 lang_id, aep,
                 date_from, date_to,
                 target_move,
                 company,
                 subkpis_filter,
                 get_additional_move_line_filter=None,
                 get_additional_query_filter=None):
        """ Evaluate a report for a given period, populating a KpiMatrix.

        :param kpi_matrix: the KpiMatrix object to be populated
        :param kpi_matrix_period: the period key to use when populating
                                  the KpiMatrix
        :param lang_id: id of a res.lang object
        :param aep: an AccountingExpressionProcessor instance created
                    using _prepare_aep()
        :param date_from, date_to: the starting and ending date
        :param target_move: all|posted
        :param company:
        :param get_additional_move_line_filter: a bound method that takes
                                                no arguments and returns
                                                a domain compatible with
                                                account.move.line
        :param get_additional_query_filter: a bound method that takes a single
                                            query argument and returns a
                                            domain compatible with the query
                                            underlying model

        For each kpi, it calls set_kpi_vals and set_kpi_exploded_vals
        with vals being a tuple with the evaluation
        result for sub-kpis, or a DataError object if the evaluation failed.

        When done, it also calls set_localdict to store the local values
        that served for the computation of the period.

        """
        self.ensure_one()

        localdict = {
            'registry': self.pool,
            'sum': _sum,
            'min': _min,
            'max': _max,
            'len': len,
            'avg': _avg,
            'AccountingNone': AccountingNone,
        }

        localdict.update(self._fetch_queries(
            date_from, date_to, get_additional_query_filter))

        additional_move_line_filter = None
        if get_additional_move_line_filter:
            additional_move_line_filter = get_additional_move_line_filter()
        aep.do_queries(date_from, date_to,
                       target_move,
                       company,
                       additional_move_line_filter)

        compute_queue = self.kpi_ids
        recompute_queue = []
        while True:
            for kpi in compute_queue:
                vals = []
                has_error = False
                for expression in kpi.expression_ids:
                    if expression.subkpi_id and \
                            subkpis_filter and \
                            expression.subkpi_id not in subkpis_filter:
                        continue
                    try:
                        kpi_eval_expression = aep.replace_expr(expression.name)
                        vals.append(safe_eval(kpi_eval_expression, localdict))
                    except ZeroDivisionError:
                        has_error = True
                        vals.append(DataError(
                            '#DIV/0',
                            '\n\n%s' % (traceback.format_exc(),)))
                    except (NameError, ValueError):
                        has_error = True
                        recompute_queue.append(kpi)
                        vals.append(DataError(
                            '#ERR',
                            '\n\n%s' % (traceback.format_exc(),)))
                    except:
                        has_error = True
                        vals.append(DataError(
                            '#ERR',
                            '\n\n%s' % (traceback.format_exc(),)))

                if len(vals) == 1 and isinstance(vals[0], SimpleArray):
                    vals = vals[0]
                else:
                    vals = SimpleArray(vals)

                kpi_matrix.set_kpi_vals(kpi_matrix_period, kpi, vals)

                if has_error:
                    continue

                # no error, set it in localdict so it can be used
                # in computing other kpis
                localdict[kpi.name] = vals

                # let's compute the exploded values by account
                # we assume there will be no errors, because it is a
                # the same as the kpi, just filtered on one account;
                # I'd say if we have an exception in this part, it's bug...
                if not kpi.auto_expand_accounts:
                    continue
                for account_id in aep.get_accounts_in_expr(kpi.expression):
                    account_id_vals = []
                    for expression in kpi.expression_ids:
                        if expression.subkpi_id and \
                                subkpis_filter and \
                                expression.subkpi_id not in subkpis_filter:
                            continue
                        kpi_eval_expression = \
                            aep.replace_expr(expression.name,
                                             account_ids_filter=[account_id])
                        account_id_vals.\
                            append(safe_eval(kpi_eval_expression, localdict))
                    kpi_matrix.set_kpi_exploded_vals(kpi_matrix_period, kpi,
                                                     account_id,
                                                     account_id_vals)

            if len(recompute_queue) == 0:
                # nothing to recompute, we are done
                break
            if len(recompute_queue) == len(compute_queue):
                # could not compute anything in this iteration
                # (ie real Value errors or cyclic dependency)
                # so we stop trying
                break
            # try again
            compute_queue = recompute_queue
            recompute_queue = []

        kpi_matrix.set_localdict(kpi_matrix_period, localdict)


class MisReportInstancePeriod(models.Model):
    """ A MIS report instance has the logic to compute
    a report template for a given date period.

    Periods have a duration (day, week, fiscal period) and
    are defined as an offset relative to a pivot date.
    """

    @api.one
    @api.depends('report_instance_id.pivot_date', 'type', 'offset',
                 'duration',  'report_instance_id.comparison_mode')
    def _compute_dates(self):
        self.date_from = False
        self.date_to = False
        self.valid = False
        report = self.report_instance_id
        d = fields.Date.from_string(report.pivot_date)
        if not report.comparison_mode:
            self.date_from = report.date_from
            self.date_to = report.date_to
            self.valid = True
        elif self.mode == 'fix':
            self.date_from = self.manual_date_from
            self.date_to = self.manual_date_to
            self.valid = True
        elif self.type == 'd':
            date_from = d + datetime.timedelta(days=self.offset)
            date_to = date_from + \
                datetime.timedelta(days=self.duration - 1)
            self.date_from = fields.Date.to_string(date_from)
            self.date_to = fields.Date.to_string(date_to)
            self.valid = True
        elif self.type == 'w':
            date_from = d - datetime.timedelta(d.weekday())
            date_from = date_from + datetime.timedelta(days=self.offset * 7)
            date_to = date_from + \
                datetime.timedelta(days=(7 * self.duration) - 1)
            self.date_from = fields.Date.to_string(date_from)
            self.date_to = fields.Date.to_string(date_to)
            self.valid = True
        elif self.type == 'date_range':
            date_range_obj = self.env['date.range']
            current_periods = date_range_obj.search(
                [('type_id', '=', self.date_range_type_id.id),
                 ('date_start', '<=', d),
                 ('date_end', '>=', d),
                 ('company_id', '=', self.report_instance_id.company_id.id)])
            if current_periods:
                all_periods = date_range_obj.search(
                    [('type_id', '=', self.date_range_type_id.id),
                     ('company_id', '=',
                      self.report_instance_id.company_id.id)],
                    order='date_start')
                all_period_ids = [p.id for p in all_periods]
                p = all_period_ids.index(current_periods[0].id) + self.offset
                if p >= 0 and p + self.duration <= len(all_period_ids):
                    periods = all_periods[p:p + self.duration]
                    self.date_from = periods[0].date_start
                    self.date_to = periods[-1].date_end
                    self.valid = True

    _name = 'mis.report.instance.period'

    name = fields.Char(size=32, required=True,
                       string='Description', translate=True)
    mode = fields.Selection([('fix', 'Fix'),
                             ('relative', 'Relative'),
                             ], required=True,
                             default='fix')
    type = fields.Selection([('d', _('Day')),
                             ('w', _('Week')),
                             ('date_range', _('Date Range'))
                             ],
                            required=True,
                            string='Period type')
    date_range_type_id = fields.Many2one(
        comodel_name='date.range.type', string='Date Range Type')
    offset = fields.Integer(string='Offset',
                            help='Offset from current period',
                            default=-1)
    duration = fields.Integer(string='Duration',
                              help='Number of periods',
                              default=1)
    date_from = fields.Date(compute='_compute_dates', string="From")
    date_to = fields.Date(compute='_compute_dates', string="To")
    manual_date_from = fields.Date(string="From")
    manual_date_to = fields.Date(string="To")
    date_range_id = fields.Many2one(
        comodel_name='date.range',
        string='Date Range')
    valid = fields.Boolean(compute='_compute_dates',
                           type='boolean',
                           string='Valid')
    sequence = fields.Integer(string='Sequence', default=100)
    report_instance_id = fields.Many2one('mis.report.instance',
                                         string='Report Instance',
                                         ondelete='cascade')
    comparison_column_ids = fields.Many2many(
        comodel_name='mis.report.instance.period',
        relation='mis_report_instance_period_rel',
        column1='period_id',
        column2='compare_period_id',
        string='Compare with')
    normalize_factor = fields.Integer(
        string='Factor',
        help='Factor to use to normalize the period (used in comparison',
        default=1)
    subkpi_ids = fields.Many2many(
        'mis.report.subkpi',
        string="Sub KPI Filter")

    _order = 'sequence, id'

    _sql_constraints = [
        ('duration', 'CHECK (duration>0)',
         'Wrong duration, it must be positive!'),
        ('normalize_factor', 'CHECK (normalize_factor>0)',
         'Wrong normalize factor, it must be positive!'),
        ('name_unique', 'unique(name, report_instance_id)',
         'Period name should be unique by report'),
    ]

    @api.onchange('date_range_id')
    def onchange_date_range(self):
        for record in self:
            record.manual_date_from = record.date_range_id.date_start
            record.manual_date_to = record.date_range_id.date_end

    @api.multi
    def _get_additional_move_line_filter(self):
        """ Prepare a filter to apply on all move lines

        This filter is applied with a AND operator on all
        accounting expression domains. This hook is intended
        to be inherited, and is useful to implement filtering
        on analytic dimensions or operational units.

        Returns an Odoo domain expression (a python list)
        compatible with account.move.line."""
        self.ensure_one()
        return []

    @api.multi
    def _get_additional_query_filter(self, query):
        """ Prepare an additional filter to apply on the query

        This filter is combined to the query domain with a AND
        operator. This hook is intended
        to be inherited, and is useful to implement filtering
        on analytic dimensions or operational units.

        Returns an Odoo domain expression (a python list)
        compatible with the model of the query."""
        self.ensure_one()
        return []

    @api.multi
    def drilldown(self, expr):
        self.ensure_one()
        # TODO FIXME: drilldown by account
        if AEP.has_account_var(expr):
            aep = AEP(self.env)
            aep.parse_expr(expr)
            aep.done_parsing(self.report_instance_id.company_id)
            domain = aep.get_aml_domain_for_expr(
                expr,
                self.date_from, self.date_to,
                self.report_instance_id.target_move,
                self.report_instance_id.company_id)
            domain.extend(self._get_additional_move_line_filter())
            return {
                'name': expr + ' - ' + self.name,
                'domain': domain,
                'type': 'ir.actions.act_window',
                'res_model': 'account.move.line',
                'views': [[False, 'list'], [False, 'form']],
                'view_type': 'list',
                'view_mode': 'list',
                'target': 'current',
            }
        else:
            return False

    @api.multi
    def _compute(self, kpi_matrix, lang_id, aep):
        """ Compute and render a mis report instance period

        It returns a dictionary keyed on kpi.name with a list of dictionaries
        with the following values (one item in the list for each subkpi):
            * val: the evaluated kpi, or None if there is no data or an error
            * val_r: the rendered kpi as a string, or #ERR, #DIV
            * val_c: a comment (explaining the error, typically)
            * style: the css style of the kpi
                     (may change in the future!)
            * prefix: a prefix to display in front of the rendered value
            * suffix: a prefix to display after rendered value
            * dp: the decimal precision of the kpi
            * is_percentage: true if the kpi is of percentage type
                             (may change in the future!)
            * expr: the kpi expression
            * drilldown: true if the drilldown method of
                         mis.report.instance.period is going to do something
                         useful in this kpi
        """
        self.ensure_one()
        # first invoke the compute method on the mis report template
        # passing it all the information regarding period and filters
        self.report_instance_id.report_id._compute(
            kpi_matrix, self,
            lang_id, aep,
            self.date_from, self.date_to,
            self.report_instance_id.target_move,
            self.report_instance_id.company_id,
            self.subkpi_ids,
            self._get_additional_move_line_filter,
            self._get_additional_query_filter,
        )
        # second, render it to something that can be used by the widget
        res = {}
        for kpi_name, kpi, vals in kpi_matrix.iter_kpi_vals(self):
            res[kpi_name] = []
            try:
                # TODO FIXME check css_style evaluation wrt subkpis
                kpi_style = None
                if kpi.css_style:
                    kpi_style = safe_eval(kpi.css_style,
                                          kpi_matrix.get_localdict(self))
            except:
                _logger.warning("error evaluating css stype expression %s",
                                kpi.css_style, exc_info=True)
                kpi_style = None

            default_vals = {
                'style': kpi_style,
                'prefix': kpi.prefix,
                'suffix': kpi.suffix,
                'dp': kpi.dp,
                'is_percentage': kpi.type == 'pct',
                'period_id': self.id,
                'expr': kpi.expression,  # TODO FIXME
            }
            for idx, subkpi_val in enumerate(vals):
                vals = default_vals.copy()
                if isinstance(subkpi_val, DataError):
                    vals.update({
                        'val': subkpi_val.name,
                        'val_r': subkpi_val.name,
                        'val_c': subkpi_val.msg,
                        'drilldown': False,
                        })
                else:
                    # TODO FIXME: has_account_var on each subkpi expression?
                    drilldown = (subkpi_val is not AccountingNone and
                                 AEP.has_account_var(kpi.expression))
                    if kpi.multi:
                        expression = kpi.expression_ids[idx].name
                    else:
                        expression = kpi.expression
                    # TODO FIXME: check we have meaningfulname for exploded
                    # kpis
                    comment = kpi.name + " = " + expression
                    vals.update({
                        'val': (None
                                if subkpi_val is AccountingNone
                                else subkpi_val),
                        'val_r': kpi.render(lang_id, subkpi_val),
                        'val_c': comment,
                        'drilldown': drilldown,
                        })
                res[kpi_name].append(vals)
        return res


class MisReportInstance(models.Model):
    """The MIS report instance combines everything to compute
    a MIS report template for a set of periods."""

    @api.one
    @api.depends('date')
    def _compute_pivot_date(self):
        if self.date:
            self.pivot_date = self.date
        else:
            self.pivot_date = fields.Date.context_today(self)

    @api.model
    def _default_company(self):
        return self.env['res.company'].\
            _company_default_get('mis.report.instance')

    _name = 'mis.report.instance'

    name = fields.Char(required=True,
                       string='Name', translate=True)
    description = fields.Char(required=False,
                              string='Description', translate=True)
    date = fields.Date(string='Base date',
                       help='Report base date '
                            '(leave empty to use current date)')
    pivot_date = fields.Date(compute='_compute_pivot_date',
                             string="Pivot date")
    report_id = fields.Many2one('mis.report',
                                required=True,
                                string='Report')
    period_ids = fields.One2many('mis.report.instance.period',
                                 'report_instance_id',
                                 required=True,
                                 string='Periods',
                                 copy=True)
    target_move = fields.Selection([('posted', 'All Posted Entries'),
                                    ('all', 'All Entries')],
                                   string='Target Moves',
                                   required=True,
                                   default='posted')
    company_id = fields.Many2one(comodel_name='res.company',
                                 string='Company',
                                 default=_default_company,
                                 required=True)
    landscape_pdf = fields.Boolean(string='Landscape PDF')
    comparison_mode = fields.Boolean(
        compute="_compute_comparison_mode",
        inverse="_inverse_comparison_mode")
    date_range_id = fields.Many2one(
        comodel_name='date.range',
        string='Date Range')
    date_from = fields.Date(string="From")
    date_to = fields.Date(string="To")

    @api.one
    def copy(self, default=None):
        default = dict(default or {})
        default['name'] = _('%s (copy)') % self.name
        return super(MisReportInstance, self).copy(default)

    def _format_date(self, lang_id, date):
        # format date following user language
        date_format = self.env['res.lang'].browse(lang_id).date_format
        return datetime.datetime.strftime(
            fields.Date.from_string(date), date_format)

    @api.multi
    @api.depends('date_from')
    def _compute_comparison_mode(self):
        for instance in self:
            instance.advanced_mode = not bool(instance.date_from)

    @api.multi
    def _inverse_comparison_mode(self):
        for record in self:
            if not record.comparison_mode:
                if not record.date_from:
                    record.date_from = datetime.now()
                if not record.date_to:
                    record.date_to = datetime.now()
                record.period_ids.unlink()
                record.write({'period_ids': [
                    (0, 0, {
                        'name': 'Default',
                        'type': 'd',
                        })
                    ]})
            else:
                record.date_from = None
                record.date_to = None

    @api.onchange('date_range_id')
    def onchange_date_range(self):
        for record in self:
            record.date_from = record.date_range_id.date_start
            record.date_to = record.date_range_id.date_end

    @api.multi
    def preview(self):
        assert len(self) == 1
        view_id = self.env.ref('mis_builder.'
                               'mis_report_instance_result_view_form')
        return {
            'type': 'ir.actions.act_window',
            'res_model': 'mis.report.instance',
            'res_id': self.id,
            'view_mode': 'form',
            'view_type': 'form',
            'view_id': view_id.id,
            'target': 'current',
        }

    @api.multi
    def print_pdf(self):
        self.ensure_one()
        return {
            'name': 'MIS report instance QWEB PDF report',
            'model': 'mis.report.instance',
            'type': 'ir.actions.report.xml',
            'report_name': 'mis_builder.report_mis_report_instance',
            'report_type': 'qweb-pdf',
            'context': self.env.context,
        }

    @api.multi
    def export_xls(self):
        self.ensure_one()
        return {
            'name': 'MIS report instance XLSX report',
            'model': 'mis.report.instance',
            'type': 'ir.actions.report.xml',
            'report_name': 'mis.report.instance.xlsx',
            'report_type': 'xlsx',
            'context': self.env.context,
        }

    @api.multi
    def display_settings(self):
        assert len(self.ids) <= 1
        view_id = self.env.ref('mis_builder.mis_report_instance_view_form')
        return {
            'type': 'ir.actions.act_window',
            'res_model': 'mis.report.instance',
            'res_id': self.id if self.id else False,
            'view_mode': 'form',
            'view_type': 'form',
            'views': [(view_id.id, 'form')],
            'view_id': view_id.id,
            'target': 'current',
        }

    @api.multi
    def compute(self):
        self.ensure_one()
        aep = self.report_id._prepare_aep(self.company_id)

        # fetch user language only once
        # TODO: is this necessary?
        lang = self.env.user.lang
        if not lang:
            lang = 'en_US'
        lang_id = self.env['res.lang'].search([('code', '=', lang)]).id

        # compute kpi values for each period
        kpi_values_by_period_ids = {}
        kpi_matrix = KpiMatrix()
        for period in self.period_ids:
            if not period.valid:
                continue
            kpi_values = period._compute(kpi_matrix, lang_id, aep)
            kpi_values_by_period_ids[period.id] = kpi_values
        kpi_matrix.load_account_names(self.env['account.account'])

        # prepare header and content
        header = [{
            'kpi_name': '',
            'cols': []
            }, {
            'kpi_name': '',
            'cols': []
        }]
        content = []
        rows_by_kpi_name = {}
        for kpi_name, kpi_description, kpi in kpi_matrix.iter_kpis():
            rows_by_kpi_name[kpi_name] = {
                'kpi_name': kpi_description,
                'cols': [],
                'default_style': kpi.default_css_style
            }
            content.append(rows_by_kpi_name[kpi_name])

        # populate header and content
        for period in self.period_ids:
            if not period.valid:
                continue
            # add the column header
            if period.duration > 1 or period.type == 'w':
                # from, to
                date_from = self._format_date(lang_id, period.date_from)
                date_to = self._format_date(lang_id, period.date_to)
                header_date = _('from %s to %s') % (date_from, date_to)
            else:
                header_date = self._format_date(lang_id, period.date_from)
            subkpis = period.subkpi_ids or \
                period.report_instance_id.report_id.subkpi_ids
            header[0]['cols'].append(dict(
                name=period.name,
                date=header_date,
                colspan=len(subkpis) or 1,
                ))
            if subkpis:
                for subkpi in subkpis:
                    header[1]['cols'].append(dict(
                        name=subkpi.name,
                        colspan=1,
                        ))
            else:
                header[1]['cols'].append(dict(
                    name="",
                    colspan=1,
                    ))
            # add kpi values
            kpi_values = kpi_values_by_period_ids[period.id]
            for kpi_name in kpi_values:
                rows_by_kpi_name[kpi_name]['cols'] += kpi_values[kpi_name]

            # add comparison columns
            for compare_col in period.comparison_column_ids:
                compare_kpi_values = \
                    kpi_values_by_period_ids.get(compare_col.id)
                if compare_kpi_values:
                    # add the comparison column header
                    header[0]['cols'].append(
                        dict(name=_('%s vs %s') % (period.name,
                                                   compare_col.name),
                             date=''))
                    # add comparison values
                    for kpi in self.report_id.kpi_ids:
                        rows_by_kpi_name[kpi.name]['cols'].append({
                            'val_r': kpi.render_comparison(
                                lang_id,
                                kpi_values[kpi.name]['val'],
                                compare_kpi_values[kpi.name]['val'],
                                period.normalize_factor,
                                compare_col.normalize_factor)
                        })
        return {
            'header': header,
            'content': content,
        }