-
Notifications
You must be signed in to change notification settings - Fork 46
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Fix unittest warnings #250
Labels
bug
Something isn't working
code health
Improve code readability, simplify maintenance and so on
testing
Comments
DifferentialOrange
added
bug
Something isn't working
code health
Improve code readability, simplify maintenance and so on
testing
teamE
labels
Oct 24, 2022
DifferentialOrange
added a commit
that referenced
this issue
Oct 24, 2022
After this patch, it is possible to call `conn.close()` method multiple times. Part of #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 24, 2022
assertRaisesRegexp and assertEquals were renamed in version 3.2 [1]. 1. https://docs.python.org/3/library/unittest.html#deprecated-aliases Part of #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 24, 2022
Fix several ResourceWarning messages related to test Tarantool server methods not cleaning up sockets. Part of #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 24, 2022
hasattr check actually has no effect for unittest runtime-added fields, so both server and connection for unix socket test weren't closed after run. Part of #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 24, 2022
Close all connection opened in tests even in case of failed asserts. Part of #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 24, 2022
DBAPI2 compliance tests are not implemented here but inherited from external module [1]. Two tests from this module open a connection and forget to close it. The issue had been filed together with patch PR to module repository [2], but the last update was 7 years ago so it is possibly that it would never be merged. This patch adds this PR change with method overwrite. 1. https://pypi.org/project/dbapi-compliance/ 2. baztian/dbapi-compliance#5 Part of #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 24, 2022
There are several ConnectionPool tests that stop some pool instances and verify that everything works fine even for semi-functional cluster. Different network and cluster state warning are issued in this case. They are expected and not informative, thus it is better to filter them in final output. Closes #250
Merged
DifferentialOrange
added a commit
that referenced
this issue
Oct 24, 2022
hasattr check actually has no effect for unittest runtime-added fields, so both server and connection for unix socket test weren't closed after run. Part of #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 24, 2022
Close all connection opened in tests even in case of failed asserts. Part of #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 24, 2022
DBAPI2 compliance tests are not implemented here but inherited from external module [1]. Two tests from this module open a connection and forget to close it. The issue had been filed together with patch PR to module repository [2], but the last update was 7 years ago so it is possibly that it would never be merged. This patch adds this PR change with method overwrite. 1. https://pypi.org/project/dbapi-compliance/ 2. baztian/dbapi-compliance#5 Part of #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 24, 2022
There are several ConnectionPool tests that stop some pool instances and verify that everything works fine even for semi-functional cluster. Different network and cluster state warning are issued in this case. They are expected and not informative, thus it is better to filter them in final output. Closes #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 27, 2022
DBAPI2 compliance tests are not implemented here but inherited from external module [1]. Two tests from this module open a connection and forget to close it. The fix [2] has been merged but there is no new tag yet [2]. 1. https://pypi.org/project/dbapi-compliance/ 2. baztian/dbapi-compliance#5 Follows #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 27, 2022
DBAPI2 compliance tests are not implemented here but inherited from external module [1]. Two tests from this module open a connection and forget to close it. The issue [2] had been fixed and PR had been merged, but there is no tagged release yet. 1. https://pypi.org/project/dbapi-compliance/ 2. baztian/dbapi-compliance#5 Part of #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 27, 2022
There are several ConnectionPool tests that stop some pool instances and verify that everything works fine even for semi-functional cluster. Different network and cluster state warning are issued in this case. They are expected and not informative, thus it is better to filter them in final output. Closes #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 27, 2022
After this patch, it is possible to call `conn.close()` method multiple times. Part of #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 27, 2022
assertRaisesRegexp and assertEquals were renamed in version 3.2 [1]. 1. https://docs.python.org/3/library/unittest.html#deprecated-aliases Part of #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 27, 2022
Fix several ResourceWarning messages related to test Tarantool server methods not cleaning up sockets. Part of #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 27, 2022
hasattr check actually has no effect for unittest runtime-added fields, so both server and connection for unix socket test weren't closed after run. Part of #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 27, 2022
Close all connection opened in tests even in case of failed asserts. Part of #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 27, 2022
DBAPI2 compliance tests are not implemented here but inherited from external module [1]. Two tests from this module open a connection and forget to close it. The issue [2] had been fixed and PR had been merged, but there is no tagged release yet. 1. https://pypi.org/project/dbapi-compliance/ 2. baztian/dbapi-compliance#5 Part of #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 27, 2022
There are several ConnectionPool tests that stop some pool instances and verify that everything works fine even for semi-functional cluster. Different network and cluster state warning are issued in this case. They are expected and not informative, thus it is better to filter them in final output. Closes #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 27, 2022
DBAPI2 compliance tests are not implemented here but inherited from external module [1]. Two tests from this module open a connection and forget to close it. The issue had been filed together with patch PR to module repository [2], but the last update was 7 years ago so it is possibly that it would never be merged. This patch adds this PR change with method overwrite. 1. https://pypi.org/project/dbapi-compliance/ 2. baztian/dbapi-compliance#5 Part of #250
DifferentialOrange
added a commit
that referenced
this issue
Oct 27, 2022
DBAPI2 compliance tests are not implemented here but inherited from external module [1]. Two tests from this module open a connection and forget to close it. The issue had been filed together with patch PR to module repository [2], but the last update was 7 years ago so it is possibly that it would never be merged. This patch adds this PR change with method overwrite. 1. https://pypi.org/project/dbapi-compliance/ 2. baztian/dbapi-compliance#5 Part of #250
DifferentialOrange
added a commit
that referenced
this issue
Nov 9, 2022
Overview This release introduces the support of extention types (decimal, uuid, error, datetime, interval) in MessagePack, various IProto features support (feature discovery and push protocol) and major infrastructure updates (scm version computation, full documentation for external and internal API both as code docstrings and readthedocs HTML, deb and RPM packages, and everything is processed with CI/CD pipelines). Breaking changes This release should not break any existing behavior. New features - Backport ConnectionPool support for Python 3.6 (PR #245). - Support iproto feature discovery (#206). - Decimal type support (#203). - UUID type support (#202). - Support extra information for iproto errors (#232). - Error extension type support (#232). - Datetime type support and tarantool.Datetime type (#204, PR #252). Tarantool datetime objects are decoded to `tarantool.Datetime` type. `tarantool.Datetime` may be encoded to Tarantool datetime objects. You can create `tarantool.Datetime` objects either from MessagePack data or by using the same API as in Tarantool: ```python dt1 = tarantool.Datetime(year=2022, month=8, day=31, hour=18, minute=7, sec=54, nsec=308543321) dt2 = tarantool.Datetime(timestamp=1661969274) dt3 = tarantool.Datetime(timestamp=1661969274, nsec=308543321) ``` `tarantool.Datetime` exposes `year`, `month`, `day`, `hour`, `minute`, `sec`, `nsec`, `timestamp` and `value` (integer epoch time with nanoseconds precision) properties if you need to convert `tarantool.Datetime` to any other kind of datetime object: ```python pdt = pandas.Timestamp(year=dt.year, month=dt.month, day=dt.day, hour=dt.hour, minute=dt.minute, second=dt.sec, microsecond=(dt.nsec // 1000), nanosecond=(dt.nsec % 1000)) ``` Use `tzoffset` parameter to set up offset timezone: ```python dt = tarantool.Datetime(year=2022, month=8, day=31, hour=18, minute=7, sec=54, nsec=308543321, tzoffset=180) ``` You may use `tzoffset` property to get timezone offset of a datetime object. Use `tz` parameter to set up timezone name: ```python dt = tarantool.Datetime(year=2022, month=8, day=31, hour=18, minute=7, sec=54, nsec=308543321, tz='Europe/Moscow') ``` If both `tz` and `tzoffset` is specified, `tz` is used. You may use `tz` property to get timezone name of a datetime object. `timestamp_since_utc_epoch` is a parameter to set timestamp convertion behavior for timezone-aware datetimes. If ``False`` (default), behaves similar to Tarantool `datetime.new()`: ```python >>> dt = tarantool.Datetime(timestamp=1640995200, timestamp_since_utc_epoch=False) >>> dt datetime: Timestamp('2022-01-01 00:00:00'), tz: "" >>> dt.timestamp 1640995200.0 >>> dt = tarantool.Datetime(timestamp=1640995200, tz='Europe/Moscow', ... timestamp_since_utc_epoch=False) >>> dt datetime: Timestamp('2022-01-01 00:00:00+0300', tz='Europe/Moscow'), tz: "Europe/Moscow" >>> dt.timestamp 1640984400.0 ``` Thus, if ``False``, datetime is computed from timestamp since epoch and then timezone is applied without any convertion. In that case, `dt.timestamp` won't be equal to initialization `timestamp` for all timezones with non-zero offset. If ``True``, behaves similar to `pandas.Timestamp`: ```python >>> dt = tarantool.Datetime(timestamp=1640995200, timestamp_since_utc_epoch=True) >>> dt datetime: Timestamp('2022-01-01 00:00:00'), tz: "" >>> dt.timestamp 1640995200.0 >>> dt = tarantool.Datetime(timestamp=1640995200, tz='Europe/Moscow', ... timestamp_since_utc_epoch=True) >>> dt datetime: Timestamp('2022-01-01 03:00:00+0300', tz='Europe/Moscow'), tz: "Europe/Moscow" >>> dt.timestamp 1640995200.0 ``` Thus, if ``True``, datetime is computed in a way that `dt.timestamp` will always be equal to initialization `timestamp`. - Datetime interval type support and tarantool.Interval type (#229). Tarantool datetime interval objects are decoded to `tarantool.Interval` type. `tarantool.Interval` may be encoded to Tarantool interval objects. You can create `tarantool.Interval` objects either from MessagePack data or by using the same API as in Tarantool: ```python di = tarantool.Interval(year=-1, month=2, day=3, hour=4, minute=-5, sec=6, nsec=308543321, adjust=tarantool.IntervalAdjust.NONE) ``` Its attributes (same as in init API) are exposed, so you can use them if needed. - Datetime interval arithmetic support (#229). Valid operations: - `tarantool.Datetime` + `tarantool.Interval` = `tarantool.Datetime` - `tarantool.Datetime` - `tarantool.Interval` = `tarantool.Datetime` - `tarantool.Datetime` - `tarantool.Datetime` = `tarantool.Interval` - `tarantool.Interval` + `tarantool.Interval` = `tarantool.Interval` - `tarantool.Interval` - `tarantool.Interval` = `tarantool.Interval` Since `tarantool.Interval` could contain `month` and `year` fields and such operations could be ambiguous, you can use `adjust` field to tune the logic. The behavior is the same as in Tarantool, see [Interval arithmetic RFC](https://github.com/tarantool/tarantool/wiki/Datetime-Internals#interval-arithmetic). - `tarantool.IntervalAdjust.NONE` -- only truncation toward the end of month performed (default mode). ```python >>> dt = tarantool.Datetime(year=2022, month=3, day=31) datetime: Timestamp('2022-03-31 00:00:00'), tz: "" >>> di = tarantool.Interval(month=1, adjust=tarantool.IntervalAdjust.NONE) >>> dt + di datetime: Timestamp('2022-04-30 00:00:00'), tz: "" ``` - `tarantool.IntervalAdjust.EXCESS` -- overflow mode, without any snap or truncation to the end of month, straight addition of days in month, stopping over month boundaries if there is less number of days. ```python >>> dt = tarantool.Datetime(year=2022, month=1, day=31) datetime: Timestamp('2022-01-31 00:00:00'), tz: "" >>> di = tarantool.Interval(month=1, adjust=tarantool.IntervalAdjust.EXCESS) >>> dt + di datetime: Timestamp('2022-03-02 00:00:00'), tz: "" ``` - `tarantool.IntervalAdjust.LAST` -- mode when day snaps to the end of month, if happens. ```python >>> dt = tarantool.Datetime(year=2022, month=2, day=28) datetime: Timestamp('2022-02-28 00:00:00'), tz: "" >>> di = tarantool.Interval(month=1, adjust=tarantool.IntervalAdjust.LAST) >>> dt + di datetime: Timestamp('2022-03-31 00:00:00'), tz: "" ``` - Full documentation of internal and external API (#67). Bugfixes - Allow any MessagePack supported type as a request key (#240). - Make connection close idempotent (#250). Infrastructure - Use git version to set package version (#238). - Test pip install from branch (PR #241). - Pack and publish pip, RPM and deb packages with GitHub Actions (#164, #198). - Publish on readthedocs with CI/CD (including PRs) (#67).
Merged
DifferentialOrange
added a commit
that referenced
this issue
Nov 9, 2022
Overview This release introduces the support of extention types (decimal, uuid, error, datetime, interval) in MessagePack, various IProto features support (feature discovery and push protocol) and major infrastructure updates (scm version computation, full documentation for external and internal API both as code docstrings and readthedocs HTML, deb and RPM packages, and everything is processed with CI/CD pipelines). Breaking changes This release should not break any existing behavior. New features - Backport ConnectionPool support for Python 3.6 (PR #245). - Support iproto feature discovery (#206). - Decimal type support (#203). - UUID type support (#202). - Support extra information for iproto errors (#232). - Error extension type support (#232). - Datetime type support and tarantool.Datetime type (#204, PR #252). Tarantool datetime objects are decoded to `tarantool.Datetime` type. `tarantool.Datetime` may be encoded to Tarantool datetime objects. You can create `tarantool.Datetime` objects either from MessagePack data or by using the same API as in Tarantool: ```python dt1 = tarantool.Datetime(year=2022, month=8, day=31, hour=18, minute=7, sec=54, nsec=308543321) dt2 = tarantool.Datetime(timestamp=1661969274) dt3 = tarantool.Datetime(timestamp=1661969274, nsec=308543321) ``` `tarantool.Datetime` exposes `year`, `month`, `day`, `hour`, `minute`, `sec`, `nsec`, `timestamp` and `value` (integer epoch time with nanoseconds precision) properties if you need to convert `tarantool.Datetime` to any other kind of datetime object: ```python pdt = pandas.Timestamp(year=dt.year, month=dt.month, day=dt.day, hour=dt.hour, minute=dt.minute, second=dt.sec, microsecond=(dt.nsec // 1000), nanosecond=(dt.nsec % 1000)) ``` Use `tzoffset` parameter to set up offset timezone: ```python dt = tarantool.Datetime(year=2022, month=8, day=31, hour=18, minute=7, sec=54, nsec=308543321, tzoffset=180) ``` You may use `tzoffset` property to get timezone offset of a datetime object. Use `tz` parameter to set up timezone name: ```python dt = tarantool.Datetime(year=2022, month=8, day=31, hour=18, minute=7, sec=54, nsec=308543321, tz='Europe/Moscow') ``` If both `tz` and `tzoffset` is specified, `tz` is used. You may use `tz` property to get timezone name of a datetime object. `timestamp_since_utc_epoch` is a parameter to set timestamp convertion behavior for timezone-aware datetimes. If ``False`` (default), behaves similar to Tarantool `datetime.new()`: ```python >>> dt = tarantool.Datetime(timestamp=1640995200, timestamp_since_utc_epoch=False) >>> dt datetime: Timestamp('2022-01-01 00:00:00'), tz: "" >>> dt.timestamp 1640995200.0 >>> dt = tarantool.Datetime(timestamp=1640995200, tz='Europe/Moscow', ... timestamp_since_utc_epoch=False) >>> dt datetime: Timestamp('2022-01-01 00:00:00+0300', tz='Europe/Moscow'), tz: "Europe/Moscow" >>> dt.timestamp 1640984400.0 ``` Thus, if ``False``, datetime is computed from timestamp since epoch and then timezone is applied without any convertion. In that case, `dt.timestamp` won't be equal to initialization `timestamp` for all timezones with non-zero offset. If ``True``, behaves similar to `pandas.Timestamp`: ```python >>> dt = tarantool.Datetime(timestamp=1640995200, timestamp_since_utc_epoch=True) >>> dt datetime: Timestamp('2022-01-01 00:00:00'), tz: "" >>> dt.timestamp 1640995200.0 >>> dt = tarantool.Datetime(timestamp=1640995200, tz='Europe/Moscow', ... timestamp_since_utc_epoch=True) >>> dt datetime: Timestamp('2022-01-01 03:00:00+0300', tz='Europe/Moscow'), tz: "Europe/Moscow" >>> dt.timestamp 1640995200.0 ``` Thus, if ``True``, datetime is computed in a way that `dt.timestamp` will always be equal to initialization `timestamp`. - Datetime interval type support and tarantool.Interval type (#229). Tarantool datetime interval objects are decoded to `tarantool.Interval` type. `tarantool.Interval` may be encoded to Tarantool interval objects. You can create `tarantool.Interval` objects either from MessagePack data or by using the same API as in Tarantool: ```python di = tarantool.Interval(year=-1, month=2, day=3, hour=4, minute=-5, sec=6, nsec=308543321, adjust=tarantool.IntervalAdjust.NONE) ``` Its attributes (same as in init API) are exposed, so you can use them if needed. - Datetime interval arithmetic support (#229). Valid operations: - `tarantool.Datetime` + `tarantool.Interval` = `tarantool.Datetime` - `tarantool.Datetime` - `tarantool.Interval` = `tarantool.Datetime` - `tarantool.Datetime` - `tarantool.Datetime` = `tarantool.Interval` - `tarantool.Interval` + `tarantool.Interval` = `tarantool.Interval` - `tarantool.Interval` - `tarantool.Interval` = `tarantool.Interval` Since `tarantool.Interval` could contain `month` and `year` fields and such operations could be ambiguous, you can use `adjust` field to tune the logic. The behavior is the same as in Tarantool, see [Interval arithmetic RFC](https://github.com/tarantool/tarantool/wiki/Datetime-Internals#interval-arithmetic). - `tarantool.IntervalAdjust.NONE` -- only truncation toward the end of month performed (default mode). ```python >>> dt = tarantool.Datetime(year=2022, month=3, day=31) datetime: Timestamp('2022-03-31 00:00:00'), tz: "" >>> di = tarantool.Interval(month=1, adjust=tarantool.IntervalAdjust.NONE) >>> dt + di datetime: Timestamp('2022-04-30 00:00:00'), tz: "" ``` - `tarantool.IntervalAdjust.EXCESS` -- overflow mode, without any snap or truncation to the end of month, straight addition of days in month, stopping over month boundaries if there is less number of days. ```python >>> dt = tarantool.Datetime(year=2022, month=1, day=31) datetime: Timestamp('2022-01-31 00:00:00'), tz: "" >>> di = tarantool.Interval(month=1, adjust=tarantool.IntervalAdjust.EXCESS) >>> dt + di datetime: Timestamp('2022-03-02 00:00:00'), tz: "" ``` - `tarantool.IntervalAdjust.LAST` -- mode when day snaps to the end of month, if happens. ```python >>> dt = tarantool.Datetime(year=2022, month=2, day=28) datetime: Timestamp('2022-02-28 00:00:00'), tz: "" >>> di = tarantool.Interval(month=1, adjust=tarantool.IntervalAdjust.LAST) >>> dt + di datetime: Timestamp('2022-03-31 00:00:00'), tz: "" ``` - Full documentation of internal and external API (#67). Bugfixes - Allow any MessagePack supported type as a request key (#240). - Make connection close idempotent (#250). Infrastructure - Use git version to set package version (#238). - Test pip install from branch (PR #241). - Pack and publish pip, RPM and deb packages with GitHub Actions (#164, #198). - Publish on readthedocs with CI/CD (including PRs) (#67).
DifferentialOrange
added a commit
that referenced
this issue
Nov 9, 2022
Overview This release introduces the support of extention types (decimal, uuid, error, datetime, interval) in MessagePack, various IProto features support (feature discovery and push protocol) and major infrastructure updates (scm version computation, full documentation for external and internal API both as code docstrings and readthedocs HTML, deb and RPM packages, and everything is processed with CI/CD pipelines). Breaking changes This release should not break any existing behavior. New features - Backport ConnectionPool support for Python 3.6 (PR #245). - Support iproto feature discovery (#206). - Decimal type support (#203). - UUID type support (#202). - Support extra information for iproto errors (#232). - Error extension type support (#232). - Datetime type support and tarantool.Datetime type (#204, PR #252). Tarantool datetime objects are decoded to `tarantool.Datetime` type. `tarantool.Datetime` may be encoded to Tarantool datetime objects. You can create `tarantool.Datetime` objects either from MessagePack data or by using the same API as in Tarantool: ```python dt1 = tarantool.Datetime(year=2022, month=8, day=31, hour=18, minute=7, sec=54, nsec=308543321) dt2 = tarantool.Datetime(timestamp=1661969274) dt3 = tarantool.Datetime(timestamp=1661969274, nsec=308543321) ``` `tarantool.Datetime` exposes `year`, `month`, `day`, `hour`, `minute`, `sec`, `nsec`, `timestamp` and `value` (integer epoch time with nanoseconds precision) properties if you need to convert `tarantool.Datetime` to any other kind of datetime object: ```python pdt = pandas.Timestamp(year=dt.year, month=dt.month, day=dt.day, hour=dt.hour, minute=dt.minute, second=dt.sec, microsecond=(dt.nsec // 1000), nanosecond=(dt.nsec % 1000)) ``` Use `tzoffset` parameter to set up offset timezone: ```python dt = tarantool.Datetime(year=2022, month=8, day=31, hour=18, minute=7, sec=54, nsec=308543321, tzoffset=180) ``` You may use `tzoffset` property to get timezone offset of a datetime object. Use `tz` parameter to set up timezone name: ```python dt = tarantool.Datetime(year=2022, month=8, day=31, hour=18, minute=7, sec=54, nsec=308543321, tz='Europe/Moscow') ``` If both `tz` and `tzoffset` is specified, `tz` is used. You may use `tz` property to get timezone name of a datetime object. `timestamp_since_utc_epoch` is a parameter to set timestamp convertion behavior for timezone-aware datetimes. If ``False`` (default), behaves similar to Tarantool `datetime.new()`: ```python >>> dt = tarantool.Datetime(timestamp=1640995200, timestamp_since_utc_epoch=False) >>> dt datetime: Timestamp('2022-01-01 00:00:00'), tz: "" >>> dt.timestamp 1640995200.0 >>> dt = tarantool.Datetime(timestamp=1640995200, tz='Europe/Moscow', ... timestamp_since_utc_epoch=False) >>> dt datetime: Timestamp('2022-01-01 00:00:00+0300', tz='Europe/Moscow'), tz: "Europe/Moscow" >>> dt.timestamp 1640984400.0 ``` Thus, if ``False``, datetime is computed from timestamp since epoch and then timezone is applied without any convertion. In that case, `dt.timestamp` won't be equal to initialization `timestamp` for all timezones with non-zero offset. If ``True``, behaves similar to `pandas.Timestamp`: ```python >>> dt = tarantool.Datetime(timestamp=1640995200, timestamp_since_utc_epoch=True) >>> dt datetime: Timestamp('2022-01-01 00:00:00'), tz: "" >>> dt.timestamp 1640995200.0 >>> dt = tarantool.Datetime(timestamp=1640995200, tz='Europe/Moscow', ... timestamp_since_utc_epoch=True) >>> dt datetime: Timestamp('2022-01-01 03:00:00+0300', tz='Europe/Moscow'), tz: "Europe/Moscow" >>> dt.timestamp 1640995200.0 ``` Thus, if ``True``, datetime is computed in a way that `dt.timestamp` will always be equal to initialization `timestamp`. - Datetime interval type support and tarantool.Interval type (#229). Tarantool datetime interval objects are decoded to `tarantool.Interval` type. `tarantool.Interval` may be encoded to Tarantool interval objects. You can create `tarantool.Interval` objects either from MessagePack data or by using the same API as in Tarantool: ```python di = tarantool.Interval(year=-1, month=2, day=3, hour=4, minute=-5, sec=6, nsec=308543321, adjust=tarantool.IntervalAdjust.NONE) ``` Its attributes (same as in init API) are exposed, so you can use them if needed. - Datetime interval arithmetic support (#229). Valid operations: - `tarantool.Datetime` + `tarantool.Interval` = `tarantool.Datetime` - `tarantool.Datetime` - `tarantool.Interval` = `tarantool.Datetime` - `tarantool.Datetime` - `tarantool.Datetime` = `tarantool.Interval` - `tarantool.Interval` + `tarantool.Interval` = `tarantool.Interval` - `tarantool.Interval` - `tarantool.Interval` = `tarantool.Interval` Since `tarantool.Interval` could contain `month` and `year` fields and such operations could be ambiguous, you can use `adjust` field to tune the logic. The behavior is the same as in Tarantool, see [Interval arithmetic RFC](https://github.com/tarantool/tarantool/wiki/Datetime-Internals#interval-arithmetic). - `tarantool.IntervalAdjust.NONE` -- only truncation toward the end of month performed (default mode). ```python >>> dt = tarantool.Datetime(year=2022, month=3, day=31) datetime: Timestamp('2022-03-31 00:00:00'), tz: "" >>> di = tarantool.Interval(month=1, adjust=tarantool.IntervalAdjust.NONE) >>> dt + di datetime: Timestamp('2022-04-30 00:00:00'), tz: "" ``` - `tarantool.IntervalAdjust.EXCESS` -- overflow mode, without any snap or truncation to the end of month, straight addition of days in month, stopping over month boundaries if there is less number of days. ```python >>> dt = tarantool.Datetime(year=2022, month=1, day=31) datetime: Timestamp('2022-01-31 00:00:00'), tz: "" >>> di = tarantool.Interval(month=1, adjust=tarantool.IntervalAdjust.EXCESS) >>> dt + di datetime: Timestamp('2022-03-02 00:00:00'), tz: "" ``` - `tarantool.IntervalAdjust.LAST` -- mode when day snaps to the end of month, if happens. ```python >>> dt = tarantool.Datetime(year=2022, month=2, day=28) datetime: Timestamp('2022-02-28 00:00:00'), tz: "" >>> di = tarantool.Interval(month=1, adjust=tarantool.IntervalAdjust.LAST) >>> dt + di datetime: Timestamp('2022-03-31 00:00:00'), tz: "" ``` - Full documentation of internal and external API (#67). Bugfixes - Allow any MessagePack supported type as a request key (#240). - Make connection close idempotent (#250). Infrastructure - Use git version to set package version (#238). - Test pip install from branch (PR #241). - Pack and publish pip, RPM and deb packages with GitHub Actions (#164, #198). - Publish on readthedocs with CI/CD (including PRs) (#67).
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Labels
bug
Something isn't working
code health
Improve code readability, simplify maintenance and so on
testing
There are a lot of ResourseWarning and DeprecationWarning messages on unittest run that was hidden by
python setup.py test
and revealed by install package tests that uses directpython -m unittest discover -v
command. It is not just an issue of clean log output: it also may result in fail for warning capture tests: https://github.com/tarantool/tarantool-python/actions/runs/3297461689/jobs/5439859418The text was updated successfully, but these errors were encountered: