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cursor.py
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325 lines (283 loc) · 10.6 KB
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# -*- coding: utf-8; -*-
#
# Licensed to CRATE Technology GmbH ("Crate") under one or more contributor
# license agreements. See the NOTICE file distributed with this work for
# additional information regarding copyright ownership. Crate licenses
# this file to you under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License. You may
# obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
#
# However, if you have executed another commercial license agreement
# with Crate these terms will supersede the license and you may use the
# software solely pursuant to the terms of the relevant commercial agreement.
import typing as t
import warnings
from datetime import datetime, timedelta, timezone
from .converter import Converter, DataType
from .exceptions import ProgrammingError
class Cursor:
"""
not thread-safe by intention
should not be shared between different threads
"""
lastrowid = None # currently not supported
def __init__(self, connection, converter: Converter, **kwargs):
self.arraysize = 1
self.connection = connection
self._converter = converter
self._closed = False
self._result: t.Dict[str, t.Any] = {}
self.rows = None
self._time_zone = None
self.time_zone = kwargs.get("time_zone")
def execute(self, sql, parameters=None, bulk_parameters=None):
"""
Prepare and execute a database operation (query or command).
"""
if self.connection._closed:
raise ProgrammingError("Connection closed")
if self._closed:
raise ProgrammingError("Cursor closed")
self._result = self.connection.client.sql(
sql, parameters, bulk_parameters
)
if "rows" in self._result:
if self._converter is None:
self.rows = iter(self._result["rows"])
else:
self.rows = iter(self._convert_rows())
def executemany(self, sql, seq_of_parameters):
"""
Prepare a database operation (query or command) and then execute it
against all parameter sequences or mappings found in the sequence
``seq_of_parameters``.
"""
row_counts = []
durations = []
self.execute(sql, bulk_parameters=seq_of_parameters)
for result in self._result.get("results", []):
if result.get("rowcount") > -1:
row_counts.append(result.get("rowcount"))
if self.duration > -1:
durations.append(self.duration)
self._result = {
"rowcount": sum(row_counts) if row_counts else -1,
"duration": sum(durations) if durations else -1,
"rows": [],
"cols": self._result.get("cols", []),
"col_types": self._result.get("col_types", []),
"results": self._result.get("results"),
}
if self._converter is None:
self.rows = iter(self._result["rows"])
else:
self.rows = iter(self._convert_rows())
return self._result["results"]
def fetchone(self):
"""
Fetch the next row of a query result set, returning a single sequence,
or None when no more data is available.
Alias for ``next()``.
"""
try:
return self.next()
except StopIteration:
return None
def __iter__(self):
"""
support iterator interface:
http://legacy.python.org/dev/peps/pep-0249/#iter
This iterator is shared. Advancing this iterator will advance other
iterators created from this cursor.
"""
warnings.warn("DB-API extension cursor.__iter__() used", stacklevel=2)
return self
def fetchmany(self, count=None):
"""
Fetch the next set of rows of a query result, returning a sequence of
sequences (e.g. a list of tuples). An empty sequence is returned when
no more rows are available.
"""
if count is None:
count = self.arraysize
if count == 0:
return self.fetchall()
result = []
for _ in range(count):
try:
result.append(self.next())
except StopIteration:
pass
return result
def fetchall(self):
"""
Fetch all (remaining) rows of a query result, returning them as a
sequence of sequences (e.g. a list of tuples). Note that the cursor's
arraysize attribute can affect the performance of this operation.
"""
result = []
iterate = True
while iterate:
try:
result.append(self.next())
except StopIteration:
iterate = False
return result
def close(self):
"""
Close the cursor now
"""
self._closed = True
self._result = {}
def setinputsizes(self, sizes):
"""
Not supported method.
"""
pass
def setoutputsize(self, size, column=None):
"""
Not supported method.
"""
pass
@property
def rowcount(self):
"""
This read-only attribute specifies the number of rows that the last
.execute*() produced (for DQL statements like ``SELECT``) or affected
(for DML statements like ``UPDATE`` or ``INSERT``).
"""
if self._closed or not self._result or "rows" not in self._result:
return -1
return self._result.get("rowcount", -1)
def next(self):
"""
Return the next row of a query result set, respecting if cursor was
closed.
"""
if self.rows is None:
raise ProgrammingError(
"No result available. "
+ "execute() or executemany() must be called first."
)
if not self._closed:
return next(self.rows)
else:
raise ProgrammingError("Cursor closed")
def __next__(self):
return self.next()
@property
def description(self):
"""
This read-only attribute is a sequence of 7-item sequences.
"""
if self._closed:
return None
description = []
for col in self._result["cols"]:
description.append((col, None, None, None, None, None, None))
return tuple(description)
@property
def duration(self):
"""
This read-only attribute specifies the server-side duration of a query
in milliseconds.
"""
if self._closed or not self._result or "duration" not in self._result:
return -1
return self._result.get("duration", 0)
def _convert_rows(self):
"""
Iterate rows, apply type converters, and generate converted rows.
"""
if not ("col_types" in self._result and self._result["col_types"]):
raise ValueError(
"Unable to apply type conversion "
"without `col_types` information"
)
# Resolve `col_types` definition to converter functions. Running
# the lookup redundantly on each row loop iteration would be a
# huge performance hog.
types = self._result["col_types"]
converters = [self._converter.get(type_) for type_ in types]
# Process result rows with conversion.
for row in self._result["rows"]:
yield [
convert(value)
for convert, value in zip(converters, row, strict=False)
]
@property
def time_zone(self):
"""
Get the current time zone.
"""
return self._time_zone
@time_zone.setter
def time_zone(self, tz):
"""
Set the time zone.
Different data types are supported. Available options are:
- ``datetime.timezone.utc``
- ``datetime.timezone(datetime.timedelta(hours=7), name="MST")``
- ``pytz.timezone("Australia/Sydney")``
- ``zoneinfo.ZoneInfo("Australia/Sydney")``
- ``+0530`` (UTC offset in string format)
The driver always returns timezone-"aware" `datetime` objects,
with their `tzinfo` attribute set.
When `time_zone` is `None`, the returned `datetime` objects are
using Coordinated Universal Time (UTC), because CrateDB is storing
timestamp values in this format.
When `time_zone` is given, the timestamp values will be transparently
converted from UTC to use the given time zone.
"""
# Do nothing when time zone is reset.
if tz is None:
self._time_zone = None
return
# Requesting datetime-aware `datetime` objects
# needs the data type converter.
# Implicitly create one, when needed.
if self._converter is None:
self._converter = Converter()
# When the time zone is given as a string,
# assume UTC offset format, e.g. `+0530`.
if isinstance(tz, str):
tz = self._timezone_from_utc_offset(tz)
self._time_zone = tz
def _to_datetime_with_tz(
value: t.Optional[float],
) -> t.Optional[datetime]:
"""
Convert CrateDB's `TIMESTAMP` value to a native Python `datetime`
object, with timezone-awareness.
"""
if value is None:
return None
return datetime.fromtimestamp(value / 1e3, tz=self._time_zone)
# Register converter function for `TIMESTAMP` type.
self._converter.set(DataType.TIMESTAMP_WITH_TZ, _to_datetime_with_tz)
self._converter.set(DataType.TIMESTAMP_WITHOUT_TZ, _to_datetime_with_tz)
@staticmethod
def _timezone_from_utc_offset(tz) -> timezone:
"""
UTC offset in string format (e.g. `+0530`) to `datetime.timezone`.
"""
if len(tz) != 5:
raise ValueError(
f"Time zone '{tz}' is given in invalid UTC offset format"
)
try:
hours = int(tz[:3])
minutes = int(tz[0] + tz[3:])
return timezone(timedelta(hours=hours, minutes=minutes), name=tz)
except Exception as ex:
raise ValueError(
f"Time zone '{tz}' is given in invalid UTC offset format: {ex}"
) from ex