When a new column has been added after that some data already exists,
the old lines will keep an empty/null value. So when we search is the new field
is equals to False or if it is different of True, we need to match the null
values.
Backport of de3b64018a
The current code when applying negative operator on an expression used
recursion which in extreme case is not best friend with python.
e.g: on instance with a lot of wharehouse, some simple action could lead
to a domain with lot of elements which could easiliy go over the python
maximum recursion limit.
This commit fixes this by replacing recursion with iteration.
We have a stack of negation flags and loop on each token of the domain
as follow :
- when we iterate on a leaf, it consumes the top negation flag,
- after a '!' operator, the top token negation is inversed,
- after an '&' or '|' operator, the top negation flag is duplicated on
the top of the stack.
closes#9433
opw-653802
This regex is used for a quick sanity check of
the order_spec in `search(order=<order_spec>)`.
Because it was build on the repetition of a
group ending with a series of optional patterns,
it could cause expensive backtracking when the
order spec did not actually match the regex
(the regex engine was trying all possible ways
to split the groups)
Forcing the repeating group to either end
with a comma or the end of the string prevents
prohibitive backtracking, while being even
more restrictive with regard to the syntax of
the order spec.
Closes#7755
When setting a custom filter with as domain
[(0, '=', 1)]
the domain was rejected, because (0, '=', 1) wasn't
considered as a valid leaf, while it is.
This is because the Javascript converts this domain
using list instead of tuple
[(0, '=', 1)] -> [[0, '=', 1]]
And therefore, comparing the "list" leaf
to the TRUE/FALSE leaf tuple failed.
Ensuring "element" as a tuple solves the issue.
opw-640306
When exporting the content of a one2many, if the first row got an empty value,
it was filled with the name_get of all lines and skipped the next lines.
The guessed reason of this was for the representation of the m2m lines but was
left after a proper export of m2m has been implemented (91cafbe).
This code was problematic as it prevented to properly export records with
an empty value on the first line (e.g. credit amount on account.move.line).
Fixes#4218, opw 620178
Use `tools.ustr` for error conversion to prevent `UnicodeDecodeError` when
converting errors which can be unicode in depending on data.
Example:
```python
from openerp.osv.orm import convert_pgerror_23505
from psycopg2 import IntegrityError
e = IntegrityError(
'duplicate key value violates unique constraint '
'"hr_job_name_company_uniq"\nDETAIL: '
'Key (name, company_id)=(Directrice comptabilit\xc3\xa9, 1) '
'already exists.\n'
)
convert_pgerror_23505(None, [], None, e)
UnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in position 129: ordinal not in range(128)
```
For models using a datetime field as name (hr.attendance for instance), the user timezone wasn't applied in the display name.
Therefore, in the breadcrumb, the datetime was different than in the form if the user had another timezone than UTC.
Check if id is valid by searching record columns when a key error is raised
If the record has the column, the key error is actually an error on a
missing or inaccessible id.
Signed-off-by: Sandy Carter <sandy.carter@savoirfairelinux.com>
Closes#3658
Remove the hardcoded precision of 12 on factor and factor_inv,
to use the complete natural precision of NUMERIC types,
preserving all significant digits.
e.g. a UoM with a factor_inv of 6.0 used to be computed as:
factor_inv: 6.0 -> factor: 0.166666666667 (1.0/6.0, rounded to 12 digits) -> factor_inv: 5.999999999988 (1.0/factor)
which could lead to errors such 12*0.166666666667 = 2.000000000004 instead of 2.0
Slightly changed the way the ORM handles float fields to allow setting `digits=0`
as a way to explicitly require a NUMERIC value but without enforcing/rounding
the values at the ORM level, i.e. a truly full-precision field.
NUMERIC type has unlimited precision but is less efficient so should not be
used as the default behaviour, which is why we keep float8 as an alternative.
Modified the view to display the product UOM factor with a 5 digits value by default.
This value is for usability purpose only, the field still accepts bigger precision, by
setting the `digits` option on the field in the form view.
This change is safe in a stable series, the `digits=0` alternative is
treated the same as the default `digits=None` everywhere in the framework,
except when creating the database field.
During the update of a module, the existing foreign keys are dropped if they have a different ondelete_rule than the one specified on the field.
The foreign keys for many2one transiant -> non-transiant are created with cascade rule by default (see `m2o_add_foreign_key_checked` method) so the check needs to be realised in the same conditions.
Due to the multi-company record rule on gamification.goal,
each access to the Goals menu and each opening of the
Messaging menu (thus calling get_serialised_gamification_summary())
is extremely slow (with several thousands goals/users).
Adding auto_join to the user_id FK on goals makes it much
faster. However it causes crashes when reading the table
because the _order of gamification.goal uses `create_date`,
which becomes ambiguous after the auto_join with res_users.
Solving this can be done by re-implementing _read_flat()
in the ORM using the internal Query object, as in search(),
which takes care of fully-qualifying all column names.
Until this is fixed, a simple workaround is to use
start_date in the _order instead of collision-prone `create_date`.
If any missing or partially incorrect values cause
an exception other than a psycopg2 error, we should
still catch it, rollback that record and report
the error, rather than letting bubble and fail
without any feedback to the user.
Fixes#1485
When a record is created, the magic fields (id, create_date,...) are first removed from the vals as the user should not set a value for these.
However if a value for this is given in default value (e.g. defined in an ir.value), the creation would crash (sql error : column specified more than once) as the magic column would be added again.
These parameters are (or should be) irrelevant for
a search_count(), and they could actually break the
result or make it significantly slower (e.g applying
`order` on large tables).
This fixes a performance regression introduced by
0f43032b.
We could also raise an error offset/limit are
passed in combination with count, but that seems
unnecessary.
Also switched to "SELECT count(1)" for the count
query, as it is simpler and just as fast.
We'd get the same perf with * or any constant value,
as in "SELECT count('me in')", but let's keep it
simple ;-)
At rev 84e9a67cdf a check to avoid the creation of ir.model.relation for custom modules was added. The condition is not correct as based on the string instead of the field name. We do not have access to column name at this level but the the m2m relation table do start with x_ for custom fields (see __init__ method).
orm: do not try to create ir.model.relation for custom m2m as self._module is either empty (for custom models), either the one of the last inheriting module (which is wrong). The field should be removed manually and should not be impacted by the uninstallation of modules. The removal of the relation table can be done when removing manually the custom field (see rev 6af3193).
ir.model: when removing a model, drop the table with the CASCADE instruction. This will remove left constraints from remaining m2m tables.
This means that dropping a table (either manually removing a custom model or uninstalling a module) will not drop the relation table for a custom m2m field. This is not ideal but better than the previous behaviour (which was to fail the DROP TABLE instruction and keep the table with a few columns and unconsistent data).
fixes#595
In the case where a property for the company exists but has no related record (e.g. in case of type m2o with no defined value), not setting a value to this field for a new record would create a new property (as browse_null is not an instance of browse_record)
Christophe Simonis
Jeremy Kersten
Denis Ledoux
Raphael Collet
Olivier Dony
Daniel Reis
Laetitia Gangloff
Ravi Gohil
Sandy
Sandy Carter
Cedric Snauwaert
Martin Trigaux
Martin Ambroz
Samus CTO
dhr-odoo
Alexandre Fayolle
Mohammed Shekha
kevin wang