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DifferentialOrange
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Aug 31, 2022
Tarantool supports decimal type since version 2.2.1 [1]. This patch introduced the support of Tarantool decimal type in msgpack decoders and encoders. The Tarantool decimal type is mapped to the native Python decimal.Decimal type. Tarantool decimal numbers have 38 digits of precision, that is, the total number of digits before and after the decimal point can be 38 [2]. If there are more digits arter the decimal point, the precision is lost. If there are more digits before the decimal point, error is thrown. In fact, there is also an exceptional case: if decimal starts with `0.`, 38 digits after the decimal point are supported without the loss of precision. msgpack encoder checks if everything is alright. If number is not a valid Tarantool decimal, the error is raised. If precision will be lost on conversion, warning is issued. Any Tarantool decimal could be converted to a Python decimal without the loss of precision. Python decimals have its own user alterable precision (defaulting to 28 places), but it's related only to arithmetic operations: we can allocate 38-placed decimal disregarding of what decimal module configuration is used [3]. 1. tarantool/tarantool#692 2. https://www.tarantool.io/ru/doc/latest/reference/reference_lua/decimal/ 3. https://docs.python.org/3/library/decimal.html Closed #203
DifferentialOrange
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Aug 31, 2022
Tarantool supports decimal type since version 2.2.1 [1]. This patch introduced the support of Tarantool decimal type in msgpack decoders and encoders. The Tarantool decimal type is mapped to the native Python decimal.Decimal type. Tarantool decimal numbers have 38 digits of precision, that is, the total number of digits before and after the decimal point can be 38 [2]. If there are more digits arter the decimal point, the precision is lost. If there are more digits before the decimal point, error is thrown. In fact, there is also an exceptional case: if decimal starts with `0.`, 38 digits after the decimal point are supported without the loss of precision. msgpack encoder checks if everything is alright. If number is not a valid Tarantool decimal, the error is raised. If precision will be lost on conversion, warning is issued. Any Tarantool decimal could be converted to a Python decimal without the loss of precision. Python decimals have its own user alterable precision (defaulting to 28 places), but it's related only to arithmetic operations: we can allocate 38-placed decimal disregarding of what decimal module configuration is used [3]. 1. tarantool/tarantool#692 2. https://www.tarantool.io/ru/doc/latest/reference/reference_lua/decimal/ 3. https://docs.python.org/3/library/decimal.html Closed #203
DifferentialOrange
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Aug 31, 2022
Tarantool supports decimal type since version 2.2.1 [1]. This patch introduced the support of Tarantool decimal type in msgpack decoders and encoders. The Tarantool decimal type is mapped to the native Python decimal.Decimal type. Tarantool decimal numbers have 38 digits of precision, that is, the total number of digits before and after the decimal point can be 38 [2]. If there are more digits arter the decimal point, the precision is lost. If there are more digits before the decimal point, error is thrown. In fact, there is also an exceptional case: if decimal starts with `0.`, 38 digits after the decimal point are supported without the loss of precision. msgpack encoder checks if everything is alright. If number is not a valid Tarantool decimal, the error is raised. If precision will be lost on conversion, warning is issued. Any Tarantool decimal could be converted to a Python decimal without the loss of precision. Python decimals have its own user alterable precision (defaulting to 28 places), but it's related only to arithmetic operations: we can allocate 38-placed decimal disregarding of what decimal module configuration is used [3]. 1. tarantool/tarantool#692 2. https://www.tarantool.io/ru/doc/latest/reference/reference_lua/decimal/ 3. https://docs.python.org/3/library/decimal.html Closed #203
DifferentialOrange
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Sep 1, 2022
Tarantool supports decimal type since version 2.2.1 [1]. This patch introduced the support of Tarantool decimal type in msgpack decoders and encoders. The Tarantool decimal type is mapped to the native Python decimal.Decimal type. Tarantool decimal numbers have 38 digits of precision, that is, the total number of digits before and after the decimal point can be 38 [2]. If there are more digits arter the decimal point, the precision is lost. If there are more digits before the decimal point, error is thrown. In fact, there is also an exceptional case: if decimal starts with `0.`, 38 digits after the decimal point are supported without the loss of precision. msgpack encoder checks if everything is alright. If number is not a valid Tarantool decimal, the error is raised. If precision will be lost on conversion, warning is issued. Any Tarantool decimal could be converted to a Python decimal without the loss of precision. Python decimals have its own user alterable precision (defaulting to 28 places), but it's related only to arithmetic operations: we can allocate 38-placed decimal disregarding of what decimal module configuration is used [3]. 1. tarantool/tarantool#692 2. https://www.tarantool.io/ru/doc/latest/reference/reference_lua/decimal/ 3. https://docs.python.org/3/library/decimal.html Closed #203
DifferentialOrange
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Sep 1, 2022
Tarantool supports decimal type since version 2.2.1 [1]. This patch introduced the support of Tarantool decimal type in msgpack decoders and encoders. The Tarantool decimal type is mapped to the native Python decimal.Decimal type. Tarantool decimal numbers have 38 digits of precision, that is, the total number of digits before and after the decimal point can be 38 [2]. If there are more digits arter the decimal point, the precision is lost. If there are more digits before the decimal point, error is thrown. In fact, there is also an exceptional case: if decimal starts with `0.`, 38 digits after the decimal point are supported without the loss of precision. msgpack encoder checks if everything is alright. If number is not a valid Tarantool decimal, the error is raised. If precision will be lost on conversion, warning is issued. Any Tarantool decimal could be converted to a Python decimal without the loss of precision. Python decimals have its own user alterable precision (defaulting to 28 places), but it's related only to arithmetic operations: we can allocate 38-placed decimal disregarding of what decimal module configuration is used [3]. 1. tarantool/tarantool#692 2. https://www.tarantool.io/ru/doc/latest/reference/reference_lua/decimal/ 3. https://docs.python.org/3/library/decimal.html Closed #203
DifferentialOrange
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Sep 1, 2022
Tarantool supports decimal type since version 2.2.1 [1]. This patch introduced the support of Tarantool decimal type in msgpack decoders and encoders. The Tarantool decimal type is mapped to the native Python decimal.Decimal type. Tarantool decimal numbers have 38 digits of precision, that is, the total number of digits before and after the decimal point can be 38 [2]. If there are more digits arter the decimal point, the precision is lost. If there are more digits before the decimal point, error is thrown. In fact, there is also an exceptional case: if decimal starts with `0.`, 38 digits after the decimal point are supported without the loss of precision. msgpack encoder checks if everything is alright. If number is not a valid Tarantool decimal, the error is raised. If precision will be lost on conversion, warning is issued. Any Tarantool decimal could be converted to a Python decimal without the loss of precision. Python decimals have its own user alterable precision (defaulting to 28 places), but it's related only to arithmetic operations: we can allocate 38-placed decimal disregarding of what decimal module configuration is used [3]. 1. tarantool/tarantool#692 2. https://www.tarantool.io/ru/doc/latest/reference/reference_lua/decimal/ 3. https://docs.python.org/3/library/decimal.html Closed #203
DifferentialOrange
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Sep 1, 2022
Tarantool supports decimal type since version 2.2.1 [1]. This patch introduced the support of Tarantool decimal type in msgpack decoders and encoders. The Tarantool decimal type is mapped to the native Python decimal.Decimal type. Tarantool decimal numbers have 38 digits of precision, that is, the total number of digits before and after the decimal point can be 38 [2]. If there are more digits arter the decimal point, the precision is lost. If there are more digits before the decimal point, error is thrown. In fact, there is also an exceptional case: if decimal starts with `0.`, 38 digits after the decimal point are supported without the loss of precision. msgpack encoder checks if everything is alright. If number is not a valid Tarantool decimal, the error is raised. If precision will be lost on conversion, warning is issued. Any Tarantool decimal could be converted to a Python decimal without the loss of precision. Python decimals have its own user alterable precision (defaulting to 28 places), but it's related only to arithmetic operations: we can allocate 38-placed decimal disregarding of what decimal module configuration is used [3]. 1. tarantool/tarantool#692 2. https://www.tarantool.io/ru/doc/latest/reference/reference_lua/decimal/ 3. https://docs.python.org/3/library/decimal.html Closed #203
DifferentialOrange
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Sep 1, 2022
Tarantool supports decimal type since version 2.2.1 [1]. This patch introduced the support of Tarantool decimal type in msgpack decoders and encoders. The Tarantool decimal type is mapped to the native Python decimal.Decimal type. Tarantool decimal numbers have 38 digits of precision, that is, the total number of digits before and after the decimal point can be 38 [2]. If there are more digits arter the decimal point, the precision is lost. If there are more digits before the decimal point, error is thrown. In fact, there is also an exceptional case: if decimal starts with `0.`, 38 digits after the decimal point are supported without the loss of precision. msgpack encoder checks if everything is alright. If number is not a valid Tarantool decimal, the error is raised. If precision will be lost on conversion, warning is issued. Any Tarantool decimal could be converted to a Python decimal without the loss of precision. Python decimals have its own user alterable precision (defaulting to 28 places), but it's related only to arithmetic operations: we can allocate 38-placed decimal disregarding of what decimal module configuration is used [3]. 1. tarantool/tarantool#692 2. https://www.tarantool.io/ru/doc/latest/reference/reference_lua/decimal/ 3. https://docs.python.org/3/library/decimal.html Closed #203
DifferentialOrange
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Sep 1, 2022
Tarantool supports decimal type since version 2.2.1 [1]. This patch introduced the support of Tarantool decimal type in msgpack decoders and encoders. The Tarantool decimal type is mapped to the native Python decimal.Decimal type. Tarantool decimal numbers have 38 digits of precision, that is, the total number of digits before and after the decimal point can be 38 [2]. If there are more digits arter the decimal point, the precision is lost. If there are more digits before the decimal point, error is thrown. In fact, there is also an exceptional case: if decimal starts with `0.`, 38 digits after the decimal point are supported without the loss of precision. msgpack encoder checks if everything is alright. If number is not a valid Tarantool decimal, the error is raised. If precision will be lost on conversion, warning is issued. Any Tarantool decimal could be converted to a Python decimal without the loss of precision. Python decimals have its own user alterable precision (defaulting to 28 places), but it's related only to arithmetic operations: we can allocate 38-placed decimal disregarding of what decimal module configuration is used [3]. 1. tarantool/tarantool#692 2. https://www.tarantool.io/ru/doc/latest/reference/reference_lua/decimal/ 3. https://docs.python.org/3/library/decimal.html Closed #203
DifferentialOrange
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Sep 1, 2022
Tarantool supports decimal type since version 2.2.1 [1]. This patch introduced the support of Tarantool decimal type in msgpack decoders and encoders. The Tarantool decimal type is mapped to the native Python decimal.Decimal type. Tarantool decimal numbers have 38 digits of precision, that is, the total number of digits before and after the decimal point can be 38 [2]. If there are more digits arter the decimal point, the precision is lost. If there are more digits before the decimal point, error is thrown. In fact, there is also an exceptional case: if decimal starts with `0.`, 38 digits after the decimal point are supported without the loss of precision. msgpack encoder checks if everything is alright. If number is not a valid Tarantool decimal, the error is raised. If precision will be lost on conversion, warning is issued. Any Tarantool decimal could be converted to a Python decimal without the loss of precision. Python decimals have its own user alterable precision (defaulting to 28 places), but it's related only to arithmetic operations: we can allocate 38-placed decimal disregarding of what decimal module configuration is used [3]. 1. tarantool/tarantool#692 2. https://www.tarantool.io/ru/doc/latest/reference/reference_lua/decimal/ 3. https://docs.python.org/3/library/decimal.html Closed #203
DifferentialOrange
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Sep 5, 2022
Tarantool supports decimal type since version 2.2.1 [1]. This patch introduced the support of Tarantool decimal type in msgpack decoders and encoders. The Tarantool decimal type is mapped to the native Python decimal.Decimal type. Tarantool decimal numbers have 38 digits of precision, that is, the total number of digits before and after the decimal point can be 38 [2]. If there are more digits arter the decimal point, the precision is lost. If there are more digits before the decimal point, error is thrown. In fact, there is also an exceptional case: if decimal starts with `0.`, 38 digits after the decimal point are supported without the loss of precision. msgpack encoder checks if everything is alright. If number is not a valid Tarantool decimal, the error is raised. If precision will be lost on conversion, warning is issued. Any Tarantool decimal could be converted to a Python decimal without the loss of precision. Python decimals have its own user alterable precision (defaulting to 28 places), but it's related only to arithmetic operations: we can allocate 38-placed decimal disregarding of what decimal module configuration is used [3]. 1. tarantool/tarantool#692 2. https://www.tarantool.io/ru/doc/latest/reference/reference_lua/decimal/ 3. https://docs.python.org/3/library/decimal.html Closed #203
DifferentialOrange
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Sep 5, 2022
Tarantool supports decimal type since version 2.2.1 [1]. This patch introduced the support of Tarantool decimal type in msgpack decoders and encoders. The Tarantool decimal type is mapped to the native Python decimal.Decimal type. Tarantool decimal numbers have 38 digits of precision, that is, the total number of digits before and after the decimal point can be 38 [2]. If there are more digits arter the decimal point, the precision is lost. If there are more digits before the decimal point, error is thrown. In fact, there is also an exceptional case: if decimal starts with `0.`, 38 digits after the decimal point are supported without the loss of precision. msgpack encoder checks if everything is alright. If number is not a valid Tarantool decimal, the error is raised. If precision will be lost on conversion, warning is issued. Any Tarantool decimal could be converted to a Python decimal without the loss of precision. Python decimals have its own user alterable precision (defaulting to 28 places), but it's related only to arithmetic operations: we can allocate 38-placed decimal disregarding of what decimal module configuration is used [3]. 1. tarantool/tarantool#692 2. https://www.tarantool.io/ru/doc/latest/reference/reference_lua/decimal/ 3. https://docs.python.org/3/library/decimal.html Closed #203
DifferentialOrange
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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).
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DifferentialOrange
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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).
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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).
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Protocol documentation: tarantool/doc#992.
Python documentation: https://docs.python.org/3/library/decimal.html.
What is interesting: I don't see a way to construct Python's decimal from a binary form without encoding into a string first. Maybe I missed something.
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