|
|
@ -292,6 +292,207 @@ class MisReport(models.Model): |
|
|
|
|
|
|
|
# TODO: kpi name cannot be start with query name |
|
|
|
|
|
|
|
@api.multi |
|
|
|
def _prepare_aep(self, root_account): |
|
|
|
self.ensure_one() |
|
|
|
aep = AEP(self.env) |
|
|
|
for kpi in self.kpi_ids: |
|
|
|
aep.parse_expr(kpi.expression) |
|
|
|
aep.done_parsing(root_account) |
|
|
|
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, lang_id, aep, |
|
|
|
date_from, date_to, |
|
|
|
period_from, period_to, |
|
|
|
target_move, |
|
|
|
get_additional_move_line_filter=None, |
|
|
|
get_additional_query_filter=None, |
|
|
|
period_id=None): |
|
|
|
""" Evaluate a report for a given period. |
|
|
|
|
|
|
|
It returns a dictionary keyed on kpi.name with the following values: |
|
|
|
* 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 |
|
|
|
|
|
|
|
: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 period_from, period_to: the starting and ending accounting |
|
|
|
period (optional, if present must |
|
|
|
match date_from, date_to) |
|
|
|
:param target_move: all|posted |
|
|
|
: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 |
|
|
|
:param period_id: an optional opaque value that is returned as |
|
|
|
query_id field in the result (may change in the |
|
|
|
future!) |
|
|
|
""" |
|
|
|
self.ensure_one() |
|
|
|
res = {} |
|
|
|
|
|
|
|
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, |
|
|
|
period_from, period_to, |
|
|
|
target_move, |
|
|
|
additional_move_line_filter) |
|
|
|
|
|
|
|
compute_queue = self.kpi_ids |
|
|
|
recompute_queue = [] |
|
|
|
while True: |
|
|
|
for kpi in compute_queue: |
|
|
|
try: |
|
|
|
kpi_val_comment = kpi.name + " = " + kpi.expression |
|
|
|
kpi_eval_expression = aep.replace_expr(kpi.expression) |
|
|
|
kpi_val = safe_eval(kpi_eval_expression, localdict) |
|
|
|
localdict[kpi.name] = kpi_val |
|
|
|
except ZeroDivisionError: |
|
|
|
kpi_val = None |
|
|
|
kpi_val_rendered = '#DIV/0' |
|
|
|
kpi_val_comment += '\n\n%s' % (traceback.format_exc(),) |
|
|
|
except (NameError, ValueError): |
|
|
|
recompute_queue.append(kpi) |
|
|
|
kpi_val = None |
|
|
|
kpi_val_rendered = '#ERR' |
|
|
|
kpi_val_comment += '\n\n%s' % (traceback.format_exc(),) |
|
|
|
except: |
|
|
|
kpi_val = None |
|
|
|
kpi_val_rendered = '#ERR' |
|
|
|
kpi_val_comment += '\n\n%s' % (traceback.format_exc(),) |
|
|
|
else: |
|
|
|
kpi_val_rendered = kpi.render(lang_id, kpi_val) |
|
|
|
|
|
|
|
try: |
|
|
|
kpi_style = None |
|
|
|
if kpi.css_style: |
|
|
|
kpi_style = safe_eval(kpi.css_style, localdict) |
|
|
|
except: |
|
|
|
_logger.warning("error evaluating css stype expression %s", |
|
|
|
kpi.css_style, exc_info=True) |
|
|
|
kpi_style = None |
|
|
|
|
|
|
|
drilldown = (kpi_val is not None and |
|
|
|
AEP.has_account_var(kpi.expression)) |
|
|
|
|
|
|
|
res[kpi.name] = { |
|
|
|
'val': None if kpi_val is AccountingNone else kpi_val, |
|
|
|
'val_r': kpi_val_rendered, |
|
|
|
'val_c': kpi_val_comment, |
|
|
|
'style': kpi_style, |
|
|
|
'prefix': kpi.prefix, |
|
|
|
'suffix': kpi.suffix, |
|
|
|
'dp': kpi.dp, |
|
|
|
'is_percentage': kpi.type == 'pct', |
|
|
|
'period_id': period_id, |
|
|
|
'expr': kpi.expression, |
|
|
|
'drilldown': drilldown, |
|
|
|
} |
|
|
|
|
|
|
|
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 = [] |
|
|
|
|
|
|
|
return res |
|
|
|
|
|
|
|
|
|
|
|
class MisReportInstancePeriod(models.Model): |
|
|
|
""" A MIS report instance has the logic to compute |
|
|
@ -432,7 +633,7 @@ class MisReportInstancePeriod(models.Model): |
|
|
|
|
|
|
|
@api.multi |
|
|
|
def drilldown(self, expr): |
|
|
|
assert len(self) == 1 |
|
|
|
self.ensure_one() |
|
|
|
if AEP.has_account_var(expr): |
|
|
|
aep = AEP(self.env) |
|
|
|
aep.parse_expr(expr) |
|
|
@ -456,144 +657,18 @@ class MisReportInstancePeriod(models.Model): |
|
|
|
else: |
|
|
|
return False |
|
|
|
|
|
|
|
def _fetch_queries(self): |
|
|
|
assert len(self) == 1 |
|
|
|
res = {} |
|
|
|
for query in self.report_instance_id.report_id.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 [] |
|
|
|
domain.extend(self._get_additional_query_filter(query)) |
|
|
|
if query.date_field.ttype == 'date': |
|
|
|
domain.extend([(query.date_field.name, '>=', self.date_from), |
|
|
|
(query.date_field.name, '<=', self.date_to)]) |
|
|
|
else: |
|
|
|
datetime_from = _utc_midnight( |
|
|
|
self.date_from, self._context.get('tz', 'UTC')) |
|
|
|
datetime_to = _utc_midnight( |
|
|
|
self.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, lang_id, aep): |
|
|
|
res = {} |
|
|
|
|
|
|
|
localdict = { |
|
|
|
'registry': self.pool, |
|
|
|
'sum': _sum, |
|
|
|
'min': _min, |
|
|
|
'max': _max, |
|
|
|
'len': len, |
|
|
|
'avg': _avg, |
|
|
|
'AccountingNone': AccountingNone, |
|
|
|
} |
|
|
|
|
|
|
|
localdict.update(self._fetch_queries()) |
|
|
|
|
|
|
|
aep.do_queries(self.date_from, self.date_to, |
|
|
|
self.period_from, self.period_to, |
|
|
|
self.report_instance_id.target_move, |
|
|
|
self._get_additional_move_line_filter()) |
|
|
|
|
|
|
|
compute_queue = self.report_instance_id.report_id.kpi_ids |
|
|
|
recompute_queue = [] |
|
|
|
while True: |
|
|
|
for kpi in compute_queue: |
|
|
|
try: |
|
|
|
kpi_val_comment = kpi.name + " = " + kpi.expression |
|
|
|
kpi_eval_expression = aep.replace_expr(kpi.expression) |
|
|
|
kpi_val = safe_eval(kpi_eval_expression, localdict) |
|
|
|
localdict[kpi.name] = kpi_val |
|
|
|
except ZeroDivisionError: |
|
|
|
kpi_val = None |
|
|
|
kpi_val_rendered = '#DIV/0' |
|
|
|
kpi_val_comment += '\n\n%s' % (traceback.format_exc(),) |
|
|
|
except (NameError, ValueError): |
|
|
|
recompute_queue.append(kpi) |
|
|
|
kpi_val = None |
|
|
|
kpi_val_rendered = '#ERR' |
|
|
|
kpi_val_comment += '\n\n%s' % (traceback.format_exc(),) |
|
|
|
except: |
|
|
|
kpi_val = None |
|
|
|
kpi_val_rendered = '#ERR' |
|
|
|
kpi_val_comment += '\n\n%s' % (traceback.format_exc(),) |
|
|
|
else: |
|
|
|
kpi_val_rendered = kpi.render(lang_id, kpi_val) |
|
|
|
|
|
|
|
try: |
|
|
|
kpi_style = None |
|
|
|
if kpi.css_style: |
|
|
|
kpi_style = safe_eval(kpi.css_style, localdict) |
|
|
|
except: |
|
|
|
_logger.warning("error evaluating css stype expression %s", |
|
|
|
kpi.css_style, exc_info=True) |
|
|
|
kpi_style = None |
|
|
|
|
|
|
|
drilldown = (kpi_val is not None and |
|
|
|
AEP.has_account_var(kpi.expression)) |
|
|
|
|
|
|
|
res[kpi.name] = { |
|
|
|
'val': None if kpi_val is AccountingNone else kpi_val, |
|
|
|
'val_r': kpi_val_rendered, |
|
|
|
'val_c': kpi_val_comment, |
|
|
|
'style': kpi_style, |
|
|
|
'prefix': kpi.prefix, |
|
|
|
'suffix': kpi.suffix, |
|
|
|
'dp': kpi.dp, |
|
|
|
'is_percentage': kpi.type == 'pct', |
|
|
|
'period_id': self.id, |
|
|
|
'expr': kpi.expression, |
|
|
|
'drilldown': drilldown, |
|
|
|
} |
|
|
|
|
|
|
|
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 = [] |
|
|
|
|
|
|
|
return res |
|
|
|
self.ensure_one() |
|
|
|
return self.report_instance_id.report_id._compute( |
|
|
|
lang_id, aep, |
|
|
|
self.date_from, self.date_to, |
|
|
|
self.period_from, self.period_to, |
|
|
|
self.report_instance_id.target_move, |
|
|
|
self._get_additional_move_line_filter, |
|
|
|
self._get_additional_query_filter, |
|
|
|
period_id=self.id, |
|
|
|
) |
|
|
|
|
|
|
|
|
|
|
|
class MisReportInstance(models.Model): |
|
|
@ -713,13 +788,9 @@ class MisReportInstance(models.Model): |
|
|
|
|
|
|
|
@api.multi |
|
|
|
def compute(self): |
|
|
|
assert len(self) == 1 |
|
|
|
self.ensure_one() |
|
|
|
|
|
|
|
# prepare AccountingExpressionProcessor |
|
|
|
aep = AEP(self.env) |
|
|
|
for kpi in self.report_id.kpi_ids: |
|
|
|
aep.parse_expr(kpi.expression) |
|
|
|
aep.done_parsing(self.root_account) |
|
|
|
aep = self.report_id._prepare_aep(self.root_account) |
|
|
|
|
|
|
|
# fetch user language only once |
|
|
|
# TODO: is this necessary? |
|
|
|