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Extention types as keys #240

Closed
DifferentialOrange opened this issue Oct 10, 2022 · 0 comments · Fixed by #244
Closed

Extention types as keys #240

DifferentialOrange opened this issue Oct 10, 2022 · 0 comments · Fixed by #244
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@DifferentialOrange
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There is an explicit type checks for SELECT, UPDATE and DELETE operation keys:

supported_types = integer_types + string_types + binary_types + (float,)

Extended types are not supported yet:

>>> conn.select('space', uuid.uuid4())
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/georgymoiseev/Development/github/tarantool/tarantool-python/tarantool/connection.py", line 1519, in select
    key = check_key(key, select=True)
  File "/home/georgymoiseev/Development/github/tarantool/tarantool-python/tarantool/utils.py", line 51, in check_key
    assert isinstance(key, supported_types)
AssertionError
@DifferentialOrange DifferentialOrange added bug Something isn't working teamE labels Oct 10, 2022
@DifferentialOrange DifferentialOrange self-assigned this Oct 10, 2022
DifferentialOrange added a commit that referenced this issue Oct 11, 2022
Inserting a tuple with connector does not have any type restrictions on
its contents: any MessagePack supported type is allowed. If there are
any type violations on the Tarantool side, server would return the
corresponding error. There is no reason to do any explicit type checks
for request keys.

This patch fixed using extended types as keys. Tarantool 2.10 does not
support indexing intervals, so there are no tests for INTERVAL extension
type.

Closes #240
DifferentialOrange added a commit that referenced this issue Oct 11, 2022
Inserting a tuple with connector does not have any type restrictions on
its contents: any MessagePack supported type is allowed. If there are
any type violations on the Tarantool side, server would return the
corresponding error. There is no reason to do any explicit type checks
for request keys.

This patch fixed using extended types as keys. Tarantool 2.10 does not
support indexing intervals, so there are no tests for INTERVAL extension
type.

Closes #240
DifferentialOrange added a commit that referenced this issue Oct 13, 2022
Inserting a tuple with connector does not have any type restrictions on
its contents: any MessagePack supported type is allowed. If there are
any type violations on the Tarantool side, server would return the
corresponding error. There is no reason to do any explicit type checks
for request keys.

This patch fixed using extended types as keys. Tarantool 2.10 does not
support indexing intervals, so there are no tests for INTERVAL extension
type.

Closes #240
DifferentialOrange added a commit that referenced this issue Oct 13, 2022
Inserting a tuple with connector does not have any type restrictions on
its contents: any MessagePack supported type is allowed. If there are
any type violations on the Tarantool side, server would return the
corresponding error. There is no reason to do any explicit type checks
for request keys.

This patch fixed using extended types as keys. Tarantool 2.10 does not
support indexing intervals, so there are no tests for INTERVAL extension
type.

Closes #240
DifferentialOrange added a commit that referenced this issue Oct 13, 2022
Dataclasses would be a really convenient approach to provide box.error
support. They are supported in Python since 3.7, but this package
make it able to introduce their support in Python 3.6 which we still
support.

Part of #240
DifferentialOrange added a commit that referenced this issue Oct 14, 2022
Inserting a tuple with connector does not have any type restrictions on
its contents: any MessagePack supported type is allowed. If there are
any type violations on the Tarantool side, server would return the
corresponding error. There is no reason to do any explicit type checks
for request keys.

This patch fixed using extended types as keys. Tarantool 2.10 does not
support indexing intervals, so there are no tests for INTERVAL extension
type.

Closes #240
DifferentialOrange added a commit that referenced this issue Oct 14, 2022
Dataclasses would be a really convenient approach to provide box.error
support. They are supported in Python since 3.7, but this package
make it able to introduce their support in Python 3.6 which we still
support.

Part of #240
DifferentialOrange added a commit that referenced this issue Oct 17, 2022
Inserting a tuple with connector does not have any type restrictions on
its contents: any MessagePack supported type is allowed. If there are
any type violations on the Tarantool side, server would return the
corresponding error. There is no reason to do any explicit type checks
for request keys.

This patch fixed using extended types as keys. Tarantool 2.10 does not
support indexing intervals, so there are no tests for INTERVAL extension
type.

Closes #240
DifferentialOrange added a commit that referenced this issue Oct 17, 2022
Dataclasses would be a really convenient approach to provide box.error
support. They are supported in Python since 3.7, but this package
make it able to introduce their support in Python 3.6 which we still
support.

Part of #240
DifferentialOrange added a commit that referenced this issue Oct 21, 2022
Inserting a tuple with connector does not have any type restrictions on
its contents: any MessagePack supported type is allowed. If there are
any type violations on the Tarantool side, server would return the
corresponding error. There is no reason to do any explicit type checks
for request keys.

This patch fixed using extended types as keys. Tarantool 2.10 does not
support indexing intervals, so there are no tests for INTERVAL extension
type.

Closes #240
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).
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).
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