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# -*- 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')
style = fields.Many2one(
string="Default style for KPI",
comodel_name="mis.report.kpi.style",
required=False
)
style_expression = fields.Char(
string='Style expression',
help='An expression that returns a style name for the kpi style')
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 is 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.multi
def get_wizard_report_action(self):
action = self.env.ref('mis_builder.mis_report_instance_view_action')
res = action.read()[0]
view = self.env.ref('mis_builder.wizard_mis_report_instance_view_form')
res.update({
'view_id': view.id,
'views': [(view.id, 'form')],
'target': 'new',
'context': {
'default_report_id': self.id,
'default_name': self.name,
'default_temporary': True,
}
})
return res
@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 = {}
mis_report_kpi_style = self.env['mis.report.kpi.style']
for kpi_name, kpi, vals in kpi_matrix.iter_kpi_vals(self):
res[kpi_name] = []
try:
# TODO FIXME check style_expression evaluation wrt subkpis
kpi_style = None
if kpi.style_expression:
style_name = safe_eval(kpi.style_expression,
kpi_matrix.get_localdict(self))
styles = mis_report_kpi_style.search(
[('name', '=', style_name)])
kpi_style = styles and styles[0]
except:
_logger.warning("error evaluating css stype expression %s",
kpi.style, exc_info=True)
default_vals = {
'prefix': kpi.prefix,
'suffix': kpi.suffix,
'dp': kpi.dp,
'is_percentage': kpi.type == 'pct',
'period_id': self.id,
'expr': kpi.expression, # TODO FIXME
'style': '',
'xlsx_style': {},
}
if kpi_style:
default_vals.update({
'style': kpi_style.to_css_style(),
'xlsx_style': kpi_style.to_xlsx_forma_properties(),
})
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(related='report_id.description',
readonly=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")
temporary = fields.Boolean(default=False)
@api.multi
def save_report(self):
self.ensure_one()
self.write({'temporary': False})
action = self.env.ref('mis_builder.mis_report_instance_view_action')
res = action.read()[0]
view = self.env.ref('mis_builder.mis_report_instance_view_form')
res.update({
'views': [(view.id, 'form')],
'res_id': self.id,
})
return res
@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.comparison_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():
props = {
'kpi_name': kpi_description,
'cols': [],
'default_style': '',
'default_xlsx_style': {},
}
rows_by_kpi_name[kpi_name] = props
if kpi.style:
props.update({
'default_style': kpi.style.to_css_style(),
'default_xlsx_style': kpi.style.to_xlsx_format_properties()
})
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,
}