diff --git a/deker/ABC/base_array.py b/deker/ABC/base_array.py
index e8adaa5..d6ebeef 100644
--- a/deker/ABC/base_array.py
+++ b/deker/ABC/base_array.py
@@ -35,10 +35,11 @@
from deker.schemas import ArraySchema, VArraySchema
from deker.subset import Subset, VSubset
from deker.tools.array import check_memory, get_id
+from deker.tools.attributes import deserialize_attribute_value, serialize_attribute_value
from deker.tools.schema import create_dimensions
from deker.types.private.classes import ArrayMeta, Serializer
from deker.types.private.typings import FancySlice, Numeric, Slice
-from deker.validators import process_attributes, is_valid_uuid, validate_custom_attributes_update
+from deker.validators import is_valid_uuid, process_attributes, validate_custom_attributes_update
if TYPE_CHECKING:
@@ -392,26 +393,14 @@ def update_custom_attributes(self, attributes: dict) -> None:
self.logger.info(f"{self!s} custom attributes updated: {attributes}")
def _create_meta(self) -> str:
- """Serialize array into metadata string."""
+ """Serialize array into metadata JSON string."""
primary_attrs, custom_attrs = deepcopy(self.primary_attributes), deepcopy(
self.custom_attributes
)
for attrs in (primary_attrs, custom_attrs):
for key, value in attrs.items():
- if isinstance(value, datetime):
- attrs[key] = value.isoformat()
- elif isinstance(value, np.ndarray):
- attrs[key] = value.tolist()
- elif isinstance(value, (list, tuple)):
- elements = []
- for element in value:
- if isinstance(element, np.integer):
- elements.append(int(element))
- else:
- elements.append(element)
- attrs[key] = tuple(elements)
- else:
- attrs[key] = value
+ attrs[key] = serialize_attribute_value(value)
+
return json.dumps(
{
"id": self.id,
@@ -485,23 +474,13 @@ def _create_from_meta(
result_attributes = custom_attributes
value = attributes_from_meta[attr_schema.name]
-
- if attr_schema.dtype == datetime:
- result_attributes[attr_schema.name] = get_utc(value)
- elif attr_schema.dtype == tuple:
- if (
- attr_schema.primary or (not attr_schema.primary and value is not None)
- ) and not isinstance(value, list):
- raise DekerMetaDataError(
- f"Collection '{collection.name}' metadata is corrupted: "
- f"attribute '{attr_schema.name}' has invalid type '{type(value)}';"
- f"'{attr_schema.dtype}' expected"
- )
-
- if attr_schema.primary or (not attr_schema.primary and value is not None):
- result_attributes[attr_schema.name] = tuple(value)
- else:
+ if value is None and not attr_schema.primary:
result_attributes[attr_schema.name] = value
+ continue
+
+ result_attributes[attr_schema.name] = deserialize_attribute_value(
+ value, attr_schema.dtype, False
+ )
arr_params = {
"collection": collection,
diff --git a/deker/__init__.py b/deker/__init__.py
index 3a2dcaf..5f39d0c 100644
--- a/deker/__init__.py
+++ b/deker/__init__.py
@@ -17,11 +17,6 @@
# nopycln: file
# isort: skip_file
-from deker_local_adapters.storage_adapters.hdf5.hdf5_options import (
- HDF5Options,
- HDF5CompressionOpts,
-)
-
from deker.arrays import Array, VArray
from deker.client import Client
from deker.collection import Collection
@@ -36,6 +31,10 @@
)
from deker.subset import Subset, VSubset
from deker.types.public.classes import Scale
+from deker_local_adapters.storage_adapters.hdf5.hdf5_options import (
+ HDF5Options,
+ HDF5CompressionOpts,
+)
__all__ = (
# deker.adapters.hdf5
diff --git a/deker/client.py b/deker/client.py
index 6924f38..a8fda4f 100644
--- a/deker/client.py
+++ b/deker/client.py
@@ -27,8 +27,8 @@
from typing import TYPE_CHECKING, Any, Dict, Generator, List, Optional, Tuple, Type, Union
from deker_tools.data import convert_size_to_human
-from deker_tools.path import is_path_valid
from deker_tools.log import set_logger
+from deker_tools.path import is_path_valid
from psutil import swap_memory, virtual_memory
from tqdm import tqdm
@@ -43,7 +43,7 @@
)
from deker.integrity import IntegrityChecker
from deker.locks import META_DIVIDER
-from deker.log import SelfLoggerMixin, set_logging_level, format_string
+from deker.log import SelfLoggerMixin, format_string, set_logging_level
from deker.schemas import ArraySchema, VArraySchema
from deker.tools import convert_human_memory_to_bytes
from deker.types import ArrayLockMeta, CollectionLockMeta, LocksExtensions, LocksTypes, StorageSize
diff --git a/deker/errors.py b/deker/errors.py
index 0801ff0..8991fd5 100644
--- a/deker/errors.py
+++ b/deker/errors.py
@@ -13,6 +13,7 @@
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see .
+from typing import List
# TODO: MOVED
@@ -109,7 +110,38 @@ class DekerSubsetError(DekerArrayError):
class DekerVSubsetError(DekerSubsetError):
- """If something goes wrong while VSubset managing."""
+ """If something goes wrong while VSubset managing.
+
+ Regarding that VSubset's inner Subsets' processing
+ is made in an Executor, this exception actually is
+ an `exceptions messages group`.
+
+ If one or more threads finished with any exception,
+ name, message and reasonable tracebacks of all
+ of these exceptions shall be collected in a list
+ and passed to this class along with some message.
+
+ ```
+ futures = [executor.submit(func, arg) for arg in iterable]
+
+ exceptions = []
+ for future in futures:
+ try:
+ future.result()
+ except Exception as e:
+ exceptions.append(repr(e) + "\n" + traceback.format_exc(-1))
+ ```
+ """
+
+ def __init__(self, message: str, exceptions: List[str]):
+ self.message = message
+ self.exceptions = exceptions
+ super().__init__(message)
+
+ def __str__(self) -> str:
+ enumerated = [f"{num}) {e}" for num, e in enumerate(self.exceptions, start=1)]
+ joined = "\n".join(str(e) for e in enumerated)
+ return f"{self.message}; exceptions:\n\n{joined} "
# TODO: MOVED
diff --git a/deker/integrity.py b/deker/integrity.py
index 17d70fa..746640a 100644
--- a/deker/integrity.py
+++ b/deker/integrity.py
@@ -33,6 +33,7 @@
from deker.tools import get_main_path, get_symlink_path
from deker.types.private.enums import LocksExtensions
+
if TYPE_CHECKING:
from deker.client import Client
@@ -187,15 +188,15 @@ def _check_varrays_or_arrays(
except DekerBaseApplicationError as e:
if self.stop_on_error:
raise DekerIntegrityError(str(e))
- self.errors[
- f"Collection {collection.name} arrays integrity errors:"
- ].append(str(e))
+ self.errors[f"Collection {collection.name} arrays integrity errors:"].append(
+ str(e)
+ )
except DekerMetaDataError as e:
if self.stop_on_error:
raise e
- self.errors[
- f"Collection {collection.name} (V)Arrays initialization errors:"
- ].append(str(e))
+ self.errors[f"Collection {collection.name} (V)Arrays initialization errors:"].append(
+ str(e)
+ )
def check(self, collection: Collection) -> None:
"""Check if Arrays or VArrays and their locks in Collection are valid.
diff --git a/deker/locks.py b/deker/locks.py
index 054273d..ef00b70 100644
--- a/deker/locks.py
+++ b/deker/locks.py
@@ -263,6 +263,8 @@ class WriteVarrayLock(BaseLock):
which managed to obtain all Array locks, will survive.
"""
+ ALLOWED_TYPES = ["VSubset"]
+
# Locks that have been acquired by varray
locks: List[Tuple[Flock, Path]] = []
skip_lock: bool = False # shows that we must skip this lock (e.g server adapters for subset)
diff --git a/deker/subset.py b/deker/subset.py
index 15a4598..850ff72 100644
--- a/deker/subset.py
+++ b/deker/subset.py
@@ -15,6 +15,7 @@
# along with this program. If not, see .
import builtins
+import traceback
from typing import TYPE_CHECKING, Iterator, List, Optional, Tuple, Union
@@ -24,7 +25,7 @@
from numpy import ndarray
from deker.ABC.base_subset import BaseSubset
-from deker.errors import DekerArrayError, DekerLockError, DekerVSubsetError
+from deker.errors import DekerArrayError, DekerVSubsetError
from deker.locks import WriteVarrayLock
from deker.schemas import TimeDimensionSchema
from deker.tools import not_deleted
@@ -621,20 +622,23 @@ def _update(array_data: ArrayPositionedData) -> None:
self.__array.dtype, self.__array.shape, data, self.__bounds
)
- results = self.__adapter.executor.map(
- _update,
- [
- ArrayPositionedData(vpos, array_bounds, data[data_bounds])
- for vpos, array_bounds, data_bounds in self.__arrays
- ],
- )
- try:
- list(results)
- except Exception as e:
- if isinstance(e, DekerLockError):
- raise e
- else:
- raise DekerVSubsetError(
- f"ATTENTION: Data in {self!s} IS NOW CORRUPTED due to the exception above"
- ).with_traceback(e.__traceback__)
+ positions = [
+ ArrayPositionedData(vpos, array_bounds, data[data_bounds])
+ for vpos, array_bounds, data_bounds in self.__arrays
+ ]
+ futures = [self.__adapter.executor.submit(_update, position) for position in positions]
+
+ exceptions = []
+ for future in futures:
+ try:
+ future.result()
+ except Exception as e:
+ exceptions.append(repr(e) + "\n" + traceback.format_exc(-1))
+
+ if exceptions:
+ raise DekerVSubsetError(
+ f"ATTENTION: Data in {self!s} MAY BE NOW CORRUPTED due to the exceptions occurred in threads",
+ exceptions,
+ )
+
self.logger.info(f"{self!s} data updated OK")
diff --git a/deker/tools/attributes.py b/deker/tools/attributes.py
new file mode 100644
index 0000000..91f2d68
--- /dev/null
+++ b/deker/tools/attributes.py
@@ -0,0 +1,114 @@
+# deker - multidimensional arrays storage engine
+# Copyright (C) 2023 OpenWeather
+#
+# This program is free software: you can redistribute it and/or modify
+# it under the terms of the GNU General Public License as published by
+# the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+# GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License
+# along with this program. If not, see .
+import re
+
+from datetime import datetime
+from typing import Any, Tuple, Type, Union
+
+import numpy as np
+
+from deker_tools.time import get_utc
+
+
+def serialize_attribute_value(
+ val: Any,
+) -> Union[Tuple[str, int, float, tuple], str, int, float, tuple]:
+ """Serialize attribute value.
+
+ :param val: complex number
+ """
+ if isinstance(val, datetime):
+ return val.isoformat()
+ if isinstance(val, np.ndarray):
+ return val.tolist() # type: ignore[attr-defined]
+ if isinstance(val, complex):
+ return str(val)
+ if isinstance(val, np.integer):
+ return int(val)
+ if isinstance(val, np.floating):
+ return float(val)
+ if isinstance(val, np.complexfloating):
+ return str(complex(val))
+ if isinstance(val, (list, tuple)):
+ return serialize_attribute_nested_tuples(val) # type: ignore[arg-type]
+
+ return val
+
+
+def serialize_attribute_nested_tuples(value: Union[tuple, list]) -> Tuple[Any, ...]:
+ """Serialize attribute nested tuples and their elements.
+
+ :param value: tuple instance
+ """
+ serialized = []
+ for el in value:
+ if isinstance(el, (list, tuple)):
+ val = serialize_attribute_nested_tuples(el)
+ else:
+ val = serialize_attribute_value(el)
+ serialized.append(val) # type: ignore[arg-type]
+ return tuple(serialized)
+
+
+def deserialize_attribute_value(val: Any, dtype: Type, from_tuple: bool) -> Any:
+ """Deserialize attribute value.
+
+ :param val: attribute value
+ :param dtype: attribute dtype from schema or type of tuple element
+ :param from_tuple: flag for tuple inner elements
+ """
+ if dtype == datetime:
+ val = get_utc(val)
+ else:
+ val = dtype(val)
+
+ if isinstance(val, (list, tuple)) and dtype == tuple:
+ return deserialize_attribute_nested_tuples(val) # type: ignore[arg-type]
+
+ if dtype == str:
+ # if the value comes from a tuple as one of its elements
+ if from_tuple:
+ # it may be a serialized string representation of a complex number
+ complex_number_regex = re.compile(
+ r"^(\()([+-]?)\d+(?:\.\d+)?(e?)([+-]?)(\d+)?"
+ r"([+-]?)\d+(?:\.\d+)?(e?)([+-]?)(\d+)?j(\))$"
+ )
+ # as far as we don't exactly know what it is
+ # we try to catch it by a regular expression
+ if re.findall(complex_number_regex, val): # type: ignore[arg-type]
+ try:
+ # and to convert it to a complex number if there's a match
+ return complex(val) # type: ignore[arg-type]
+ except ValueError:
+ # if conversion fails we return string
+ return val
+
+ return val
+
+
+def deserialize_attribute_nested_tuples(value: Tuple[Any, ...]) -> Tuple[Any, ...]:
+ """Deserialize attribute nested tuples and their elements.
+
+ :param value: attribute tuple value
+ """
+ deserialized = []
+ for el in value:
+ if isinstance(el, (tuple, list)):
+ value = deserialize_attribute_nested_tuples(el) # type: ignore[arg-type]
+ else:
+ value = deserialize_attribute_value(el, type(el), True)
+ deserialized.append(value)
+ return tuple(deserialized)
diff --git a/deker/validators.py b/deker/validators.py
index 0be2e7e..e8dbdce 100644
--- a/deker/validators.py
+++ b/deker/validators.py
@@ -23,6 +23,8 @@
from deker.dimensions import Dimension, TimeDimension
from deker.errors import DekerValidationError
+from deker.types import DTypeEnum
+
if TYPE_CHECKING:
from deker.schemas import ArraySchema, AttributeSchema, VArraySchema
@@ -42,17 +44,38 @@ def process_time_dimension_attrs(attributes: dict, attr_name: str) -> datetime.d
return time_attribute
+def __validate_attribute_type(attribute: object) -> None:
+ """Validate attribute type over allowed types.
+
+ :param attribute: attribute object
+ """
+ if isinstance(attribute, tuple):
+ for attr in attribute:
+ __validate_attribute_type(attr)
+
+ dtype = type(attribute)
+ if attribute is not None:
+ try:
+ DTypeEnum(dtype).value
+ except (ValueError, KeyError):
+ raise DekerValidationError(f"Invalid dtype value {dtype}")
+
+
def __process_attributes_types(
attrs_schema: Tuple["AttributeSchema", ...],
primary_attributes: dict,
custom_attributes: dict,
+ dimensions: list,
) -> None:
"""Validate attributes types over schema and update dicts if needed.
:param attrs_schema: attributes schema
:param primary_attributes: primary attributes to validate
:param custom_attributes: custom attributes to validate
+ :param dimensions: list of dimensions
"""
+ from deker.schemas import TimeDimensionSchema
+
attributes = {**primary_attributes, **custom_attributes}
for attr in attrs_schema:
if attr.primary:
@@ -65,6 +88,10 @@ def __process_attributes_types(
f"expected {attr.dtype}"
)
+ # validate tuples contents type
+ if isinstance(primary_attributes[attr.name], tuple):
+ __validate_attribute_type(primary_attributes[attr.name])
+
else:
# check if custom attribute is not missing and its type
custom_attribute = custom_attributes.get(attr.name)
@@ -76,11 +103,27 @@ def __process_attributes_types(
if custom_attribute is None:
if attr.dtype == datetime.datetime:
- raise DekerValidationError(f'Custom attribute "{attr.name}" cannot be None')
+ for d in dimensions:
+ if (
+ isinstance(d, TimeDimensionSchema)
+ and isinstance(d.start_value, str)
+ and d.start_value.startswith("$" + attr.name)
+ ):
+ raise DekerValidationError(
+ f'Custom attribute "{attr.name}" cannot be None'
+ )
custom_attributes[attr.name] = None
- # convert attribute with datetime to utc if needed
- if attr.dtype == datetime.datetime and attr.name in attributes:
+ # validate tuples
+ if isinstance(custom_attributes[attr.name], tuple):
+ __validate_attribute_type(custom_attributes[attr.name])
+
+ # convert datetime attribute with set datetime value to utc if needed
+ if (
+ attr.dtype == datetime.datetime
+ and attr.name in attributes
+ and attributes[attr.name] is not None
+ ):
try:
utc = get_utc(attributes[attr.name])
if attr.primary:
@@ -138,7 +181,7 @@ def process_attributes(
f"Invalid attributes: {sorted(extra_names)}"
)
__process_attributes_types(
- attrs_schema, primary_attributes, custom_attributes # type: ignore[arg-type]
+ attrs_schema, primary_attributes, custom_attributes, schema.dimensions # type: ignore[arg-type]
)
return primary_attributes, custom_attributes
diff --git a/poetry.lock b/poetry.lock
index 6748a90..2ae9f50 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,25 +1,25 @@
-# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand.
[[package]]
name = "alabaster"
-version = "0.7.13"
-description = "A configurable sidebar-enabled Sphinx theme"
+version = "0.7.16"
+description = "A light, configurable Sphinx theme"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.9"
files = [
- {file = "alabaster-0.7.13-py3-none-any.whl", hash = "sha256:1ee19aca801bbabb5ba3f5f258e4422dfa86f82f3e9cefb0859b283cdd7f62a3"},
- {file = "alabaster-0.7.13.tar.gz", hash = "sha256:a27a4a084d5e690e16e01e03ad2b2e552c61a65469419b907243193de1a84ae2"},
+ {file = "alabaster-0.7.16-py3-none-any.whl", hash = "sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92"},
+ {file = "alabaster-0.7.16.tar.gz", hash = "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65"},
]
[[package]]
name = "anyio"
-version = "4.2.0"
+version = "4.3.0"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = true
python-versions = ">=3.8"
files = [
- {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
- {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
+ {file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"},
+ {file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"},
]
[package.dependencies]
@@ -56,13 +56,13 @@ limiter = ["cachecontrol[filecache] (>=0.12.6)", "lockfile (>=0.12.2)"]
[[package]]
name = "apeye-core"
-version = "1.1.4"
+version = "1.1.5"
description = "Core (offline) functionality for the apeye library."
optional = false
python-versions = ">=3.6.1"
files = [
- {file = "apeye_core-1.1.4-py3-none-any.whl", hash = "sha256:084bc696448d3ac428fece41c1f2eb08fa9d9ce1d1b2f4d43187e3def4528a60"},
- {file = "apeye_core-1.1.4.tar.gz", hash = "sha256:72bb89fed3baa647cb81aa28e1d851787edcbf9573853b5d2b5f87c02f50eaf5"},
+ {file = "apeye_core-1.1.5-py3-none-any.whl", hash = "sha256:dc27a93f8c9e246b3b238c5ea51edf6115ab2618ef029b9f2d9a190ec8228fbf"},
+ {file = "apeye_core-1.1.5.tar.gz", hash = "sha256:5de72ed3d00cc9b20fea55e54b7ab8f5ef8500eb33a5368bc162a5585e238a55"},
]
[package.dependencies]
@@ -82,31 +82,32 @@ files = [
[[package]]
name = "attrs"
-version = "23.1.0"
+version = "23.2.0"
description = "Classes Without Boilerplate"
optional = false
python-versions = ">=3.7"
files = [
- {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"},
- {file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"},
+ {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
+ {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
]
[package.extras]
cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[docs,tests]", "pre-commit"]
+dev = ["attrs[tests]", "pre-commit"]
docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
[[package]]
name = "autodocsumm"
-version = "0.2.11"
+version = "0.2.12"
description = "Extended sphinx autodoc including automatic autosummaries"
optional = false
python-versions = ">=3.7"
files = [
- {file = "autodocsumm-0.2.11-py3-none-any.whl", hash = "sha256:f1d0a623bf1ad64d979a9e23fd360d1fb1b8f869beaf3197f711552cddc174e2"},
- {file = "autodocsumm-0.2.11.tar.gz", hash = "sha256:183212bd9e9f3b58a96bb21b7958ee4e06224107aa45b2fd894b61b83581b9a9"},
+ {file = "autodocsumm-0.2.12-py3-none-any.whl", hash = "sha256:b842b53c686c07a4f174721ca4e729b027367703dbf42e2508863a3c6d6c049c"},
+ {file = "autodocsumm-0.2.12.tar.gz", hash = "sha256:848fe8c38df433c6635489499b969cb47cc389ed3d7b6e75c8ccbc94d4b3bf9e"},
]
[package.dependencies]
@@ -151,19 +152,22 @@ yaml = ["PyYAML"]
[[package]]
name = "beautifulsoup4"
-version = "4.12.2"
+version = "4.12.3"
description = "Screen-scraping library"
optional = false
python-versions = ">=3.6.0"
files = [
- {file = "beautifulsoup4-4.12.2-py3-none-any.whl", hash = "sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a"},
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soupsieve = ">1.2"
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+chardet = ["chardet"]
+charset-normalizer = ["charset-normalizer"]
html5lib = ["html5lib"]
lxml = ["lxml"]
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description = "httplib2 caching for requests"
optional = false
python-versions = ">=3.7"
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requests = ">=2.16.0"
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filecache = ["filelock (>=3.8.0)"]
redis = ["redis (>=2.10.5)"]
[[package]]
name = "certifi"
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description = "Python package for providing Mozilla's CA Bundle."
optional = false
python-versions = ">=3.6"
files = [
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@@ -451,18 +455,18 @@ toml = ["tomli"]
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name = "cssutils"
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+version = "2.10.2"
description = "A CSS Cascading Style Sheets library for Python"
optional = false
python-versions = ">=3.8"
files = [
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name = "darglint"
@@ -511,12 +515,12 @@ numpy = ">=1.18,<2.0"
[[package]]
name = "deker-server-adapters"
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description = "Plugin with server adapters for Deker"
optional = true
python-versions = ">=3.9,<4.0"
files = [
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[[package]]
name = "deker-shell"
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description = "Interactive shell for Deker"
optional = true
python-versions = ">=3.9,<4.0"
files = [
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ptpython = "3.0.23"
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description = "A platform independent file lock."
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python-versions = ">=3.8"
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[[package]]
@@ -792,20 +797,21 @@ smmap = ">=3.0.1,<6"
[[package]]
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description = "GitPython is a Python library used to interact with Git repositories"
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python-versions = ">=3.7"
files = [
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[[package]]
name = "h11"
@@ -872,17 +878,17 @@ numpy = ">=1.17.3"
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name = "hdf5plugin"
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python-versions = ">=3.7"
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dev = ["sphinx", "sphinx-rtd-theme"]
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name = "hpack"
@@ -981,13 +988,13 @@ files = [
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description = "File identification library for Python"
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python-versions = ">=3.8"
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python-versions = ">=3.8"
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optional = false
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python-versions = ">=3.8"
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[[package]]
name = "six"
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description = "Sniff out which async library your code is running under"
optional = true
python-versions = ">=3.7"
files = [
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[[package]]
name = "sphinx-tabs"
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description = "Tabbed views for Sphinx"
optional = false
python-versions = "~=3.7"
files = [
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pygments = "*"
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name = "sphinx-toolbox"
@@ -2320,56 +2341,50 @@ testing = ["coincidence (>=0.4.3)", "pygments (>=2.7.4,<=2.13.0)"]
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name = "sphinxcontrib-applehelp"
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description = "sphinxcontrib-applehelp is a Sphinx extension which outputs Apple help books"
optional = false
python-versions = ">=3.9"
files = [
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-Sphinx = ">=5"
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[package.extras]
lint = ["docutils-stubs", "flake8", "mypy"]
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test = ["pytest"]
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name = "sphinxcontrib-devhelp"
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+version = "1.0.6"
description = "sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp documents"
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python-versions = ">=3.9"
files = [
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lint = ["docutils-stubs", "flake8", "mypy"]
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test = ["pytest"]
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python-versions = ">=3.9"
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lint = ["docutils-stubs", "flake8", "mypy"]
+standalone = ["Sphinx (>=5)"]
test = ["html5lib", "pytest"]
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python-versions = ">=3.9"
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[package.extras]
lint = ["docutils-stubs", "flake8", "mypy"]
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test = ["pytest"]
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name = "sphinxcontrib-serializinghtml"
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description = "sphinxcontrib-serializinghtml is a sphinx extension which outputs \"serialized\" HTML files (json and pickle)"
optional = false
python-versions = ">=3.9"
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[package.extras]
lint = ["docutils-stubs", "flake8", "mypy"]
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test = ["pytest"]
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description = "Manage dynamic plugins for Python applications"
optional = false
python-versions = ">=3.8"
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description = "Fast, Extensible Progress Meter"
optional = false
python-versions = ">=3.7"
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@@ -2581,40 +2592,41 @@ typing-extensions = ">=3.7.4"
[[package]]
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+version = "2024.1"
description = "Provider of IANA time zone data"
optional = false
python-versions = ">=2"
files = [
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optional = false
python-versions = ">=3.8"
files = [
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socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
zstd = ["zstandard (>=0.18.0)"]
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name = "virtualenv"
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description = "Virtual Python Environment builder"
optional = false
python-versions = ">=3.7"
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[[package]]
name = "wcwidth"
-version = "0.2.12"
+version = "0.2.13"
description = "Measures the displayed width of unicode strings in a terminal"
optional = true
python-versions = "*"
files = [
- {file = "wcwidth-0.2.12-py2.py3-none-any.whl", hash = "sha256:f26ec43d96c8cbfed76a5075dac87680124fa84e0855195a6184da9c187f133c"},
- {file = "wcwidth-0.2.12.tar.gz", hash = "sha256:f01c104efdf57971bcb756f054dd58ddec5204dd15fa31d6503ea57947d97c02"},
+ {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
+ {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
]
[[package]]
@@ -2673,18 +2685,18 @@ viz = ["matplotlib", "nc-time-axis", "seaborn"]
[[package]]
name = "zipp"
-version = "3.17.0"
+version = "3.18.1"
description = "Backport of pathlib-compatible object wrapper for zip files"
optional = false
python-versions = ">=3.8"
files = [
- {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
- {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
+ {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"},
+ {file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"},
]
[package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
[extras]
all = ["deker-server-adapters", "deker-shell", "xarray"]
diff --git a/pyproject.toml b/pyproject.toml
index af0aa8f..869a727 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -173,7 +173,7 @@ disallow_untyped_defs = false
# https://pypi.org/project/flake8-pytest-style/
# https://pypi.org/project/pep8-naming/
min_python_version = 3.9
-max-complexity = 15
+max-complexity = 16
max-doc-length = 120
max-line-length = 120
strictness = "full"
@@ -202,6 +202,7 @@ per-file-ignores = [
"deker/private/types/shell.py: D205, D400",
"deker/collection.py: D401",
"deker/subset.py: DAR101, E203",
+ "deker/errors.py: D301",
]
ignore = [
"B012",
diff --git a/tests/parameters/array_params.py b/tests/parameters/array_params.py
index 12fd53f..b119aa7 100644
--- a/tests/parameters/array_params.py
+++ b/tests/parameters/array_params.py
@@ -26,6 +26,5 @@ def attributes_validation_params() -> List[dict]:
"time_attr_name": datetime.now(),
},
},
- {"custom_attributes": {"time_attr_name": None}, **default_attributes},
{"custom_attributes": {"time_attr_name": "word"}, **default_attributes},
]
diff --git a/tests/test_cases/test_arrays/test_array_methods.py b/tests/test_cases/test_arrays/test_array_methods.py
index a45a1f5..080b8d2 100644
--- a/tests/test_cases/test_arrays/test_array_methods.py
+++ b/tests/test_cases/test_arrays/test_array_methods.py
@@ -23,10 +23,10 @@
from deker.client import Client
from deker.collection import Collection
from deker.dimensions import TimeDimension
-from deker.errors import DekerMemoryError, DekerValidationError
-from deker.schemas import ArraySchema, DimensionSchema
+from deker.errors import DekerCollectionAlreadyExistsError, DekerMemoryError, DekerValidationError
+from deker.schemas import ArraySchema, AttributeSchema, DimensionSchema
from deker.tools import get_paths
-from deker.types.private.typings import FancySlice, Slice
+from deker.types.private.typings import FancySlice, NumericDtypes, Slice
@pytest.mark.asyncio()
@@ -195,7 +195,7 @@ def test_update_array(self, inserted_array: Array, array_data: np.ndarray, index
assert (data == update).all()
def test_update_custom_attributes(self, inserted_array_with_attributes: Array):
- """Tests array update method.
+ """Tests array update_custom_attributes method.
:param inserted_array_with_attributes: Array object
"""
@@ -218,6 +218,74 @@ def test_update_custom_attributes(self, inserted_array_with_attributes: Array):
if isinstance(d, TimeDimension):
assert d.start_value == new_custom_attributes["time_attr_name"]
+ @pytest.mark.parametrize("dtype", [datetime, str, tuple] + NumericDtypes)
+ def test_custom_attributes_set_to_none(self, client: Client, dtype: object):
+ """Tests array is created with custom attribute set to None.
+
+ :param client: Deker Client instance
+ """
+ schema = ArraySchema(
+ dimensions=[DimensionSchema(name="x", size=1)],
+ dtype=int,
+ attributes=[AttributeSchema(name="some_attr", dtype=dtype, primary=False)],
+ )
+ col_name = "test_custom_attrs_values_are_None"
+ try:
+ col = client.create_collection(col_name, schema)
+ except DekerCollectionAlreadyExistsError:
+ col = client.get_collection(col_name)
+ col.clear()
+ try:
+ key = "custom_attributes"
+ attrs = {key: {schema.attributes[0].name: None}}
+ array = col.create(**attrs)
+ assert array
+ attr = getattr(array, key)
+ assert attr[schema.attributes[0].name] is None
+ except Exception:
+ raise
+ finally:
+ col.delete()
+
+ @pytest.mark.parametrize("dtype", NumericDtypes + [str, tuple, datetime])
+ def test_custom_attributes_updated_to_none(self, client: Client, dtype: object):
+ """Tests array custom attribute is updated to None.
+
+ :param client: Deker Client instance
+ """
+ schema = ArraySchema(
+ dimensions=[DimensionSchema(name="x", size=1)],
+ dtype=int,
+ attributes=[AttributeSchema(name="some_attr", dtype=dtype, primary=False)],
+ )
+ col_name = "test_custom_attrs_values_are_None"
+ try:
+ col = client.create_collection(col_name, schema)
+ except DekerCollectionAlreadyExistsError:
+ col = client.get_collection(col_name)
+ col.clear()
+
+ try:
+ key = "custom_attributes"
+ if dtype is tuple:
+ val = (1,)
+ elif dtype is datetime:
+ val = datetime(2024, 1, 1, 0, 0, tzinfo=timezone.utc)
+ else:
+ val = dtype(1) # type: ignore
+ attrs = {key: {schema.attributes[0].name: val}}
+ array = col.create(**attrs)
+ assert array
+ attr = getattr(array, key)
+ assert attr[schema.attributes[0].name] == val
+ array.update_custom_attributes({schema.attributes[0].name: None})
+ attr = getattr(array, key)
+ assert attr[schema.attributes[0].name] is None
+ except Exception:
+ raise
+ finally:
+ col.delete()
+
@pytest.mark.parametrize(
"new_custom_attributes",
[
@@ -240,7 +308,6 @@ def test_update_custom_attributes(self, inserted_array_with_attributes: Array):
"time_attr_name": datetime.now(timezone.utc),
},
{"custom_attribute": 0.6, "time_attr_name": datetime.now(timezone.utc).isoformat()},
- {"custom_attribute": 0.6, "time_attr_name": None},
{"custom_attribute": 0.6, "time_attr_name": timezone.utc},
{"custom_attribute": 0.6, "time_attr_name": ""},
{"custom_attribute": 0.6, "time_attr_name": " "},
diff --git a/tests/test_cases/test_arrays/test_varray_methods.py b/tests/test_cases/test_arrays/test_varray_methods.py
index 66950f4..69871c4 100644
--- a/tests/test_cases/test_arrays/test_varray_methods.py
+++ b/tests/test_cases/test_arrays/test_varray_methods.py
@@ -292,7 +292,6 @@ def test_update_custom_attributes(self, inserted_array_with_attributes: VArray):
"time_attr_name": datetime.now(timezone.utc),
},
{"custom_attribute": 0.6, "time_attr_name": datetime.now(timezone.utc).isoformat()},
- {"custom_attribute": 0.6, "time_attr_name": None},
{"custom_attribute": 0.6, "time_attr_name": timezone.utc},
{"custom_attribute": 0.6, "time_attr_name": ""},
{"custom_attribute": 0.6, "time_attr_name": " "},
diff --git a/tests/test_cases/test_collections/test_collection_methods.py b/tests/test_cases/test_collections/test_collection_methods.py
index 8dda18a..b899055 100644
--- a/tests/test_cases/test_collections/test_collection_methods.py
+++ b/tests/test_cases/test_collections/test_collection_methods.py
@@ -4,7 +4,6 @@
from io import BytesIO
import hdf5plugin
-import numpy as np
import pytest
from deker_local_adapters import HDF5StorageAdapter, LocalCollectionAdapter
diff --git a/tests/test_cases/test_concurrency/test_in_processes.py b/tests/test_cases/test_concurrency/test_in_processes.py
index ccb0e5b..d83379a 100644
--- a/tests/test_cases/test_concurrency/test_in_processes.py
+++ b/tests/test_cases/test_concurrency/test_in_processes.py
@@ -6,16 +6,13 @@
correctly.
"""
import os
-import time
import traceback
from multiprocessing import Event, Manager, Process, cpu_count
from multiprocessing.pool import Pool
from pathlib import Path
-from threading import get_native_id
from typing import Callable, Dict, Literal
from unittest.mock import patch
-from uuid import uuid4
import h5py
import numpy as np
@@ -28,15 +25,15 @@
from deker.arrays import Array, VArray
from deker.client import Client
from deker.collection import Collection
-from deker.errors import DekerLockError, DekerVSubsetError
+from deker.errors import DekerLockError
from deker.locks import (
CollectionLock,
+ CreateArrayLock,
Flock,
ReadArrayLock,
UpdateMetaAttributeLock,
WriteArrayLock,
WriteVarrayLock,
- CreateArrayLock,
)
from deker.schemas import ArraySchema, DimensionSchema, VArraySchema
from deker.tools import get_paths
@@ -420,7 +417,7 @@ def test_intersecting_vsubsets_update_fail(
(np.index_exp[:5, 3:, :], 500), # shall be blocked
(np.index_exp[8:, 8:, 8:], blocking_value), # shall proceed as non-locked
)
- # Call read process to lock arrays for reading
+ # Call read process to lock arrays
proc = Process(
target=call_array_method,
args=(
diff --git a/tests/test_cases/test_schemas/test_array_schema.py b/tests/test_cases/test_schemas/test_array_schema.py
index 5776aa9..d7021fa 100644
--- a/tests/test_cases/test_schemas/test_array_schema.py
+++ b/tests/test_cases/test_schemas/test_array_schema.py
@@ -6,7 +6,7 @@
from tests.parameters.schemas_params import ArraySchemaCreationParams
-from deker.errors import DekerValidationError
+from deker.errors import DekerCollectionAlreadyExistsError, DekerValidationError
from deker.schemas import ArraySchema, AttributeSchema, DimensionSchema, TimeDimensionSchema
@@ -151,5 +151,61 @@ def test_array_schema_shape_is_python_int(array_schema: ArraySchema):
assert type(i) == int
+@pytest.mark.parametrize("primary", [False, True])
+def test_schema_with_TD_and_start_value_link_fail_on_attr_is_None(client, primary):
+ schema = ArraySchema(
+ dimensions=[
+ TimeDimensionSchema(name="x", size=1, start_value="$some_attr", step=timedelta(1))
+ ],
+ dtype=int,
+ attributes=[AttributeSchema(name="some_attr", dtype=datetime, primary=primary)],
+ )
+ col_name = "test_TD_start_value_linked_attr_value_can_not_be_None"
+ try:
+ col = client.create_collection(col_name, schema)
+ except DekerCollectionAlreadyExistsError:
+ col = client.get_collection(col_name)
+ col.clear()
+ try:
+ if primary:
+ key = "primary_attributes"
+ else:
+ key = "custom_attributes"
+ attrs = {key: {schema.attributes[0].name: None}}
+ with pytest.raises(DekerValidationError):
+ assert col.create(**attrs)
+ finally:
+ col.delete()
+
+
+def test_schema_with_TD_and_start_value_link_fail_on_custom_attr_is_set_to_None(client):
+ schema = ArraySchema(
+ dimensions=[
+ TimeDimensionSchema(name="x", size=1, start_value="$some_attr", step=timedelta(1))
+ ],
+ dtype=int,
+ attributes=[AttributeSchema(name="some_attr", dtype=datetime, primary=False)],
+ )
+ col_name = "test_TD_start_value_linked_attr_value_can_not_be_set_to_None"
+ try:
+ col = client.create_collection(col_name, schema)
+ except DekerCollectionAlreadyExistsError:
+ col = client.get_collection(col_name)
+ col.clear()
+ try:
+ key = "custom_attributes"
+ attrs = {key: {schema.attributes[0].name: datetime(2024, 1, 1, tzinfo=timezone.utc)}}
+ array = col.create(**attrs)
+ assert array
+ assert (
+ array.custom_attributes[schema.attributes[0].name]
+ == attrs[key][schema.attributes[0].name]
+ )
+ with pytest.raises(DekerValidationError):
+ assert array.update_custom_attributes({schema.attributes[0].name: None})
+ finally:
+ col.delete()
+
+
if __name__ == "__main__":
pytest.main()
diff --git a/tests/test_cases/test_schemas/test_attributes_schema.py b/tests/test_cases/test_schemas/test_attributes_schema.py
index a95c13e..1a4e981 100644
--- a/tests/test_cases/test_schemas/test_attributes_schema.py
+++ b/tests/test_cases/test_schemas/test_attributes_schema.py
@@ -4,6 +4,7 @@
from datetime import datetime
from typing import FrozenSet
+import numpy as np
import pytest
from deker_local_adapters import LocalArrayAdapter
@@ -12,7 +13,7 @@
from deker.arrays import Array, VArray
from deker.collection import Collection
from deker.dimensions import Dimension, TimeDimension
-from deker.errors import DekerValidationError
+from deker.errors import DekerCollectionAlreadyExistsError, DekerValidationError
from deker.schemas import ArraySchema, AttributeSchema
from deker.types.private.typings import NumericDtypes
@@ -167,11 +168,58 @@ def test_attributes_schema_primary_raises_type(self, primary):
assert AttributeSchema(name="some_attr", dtype=float, primary=primary)
@pytest.mark.parametrize("primary", [True, False])
- def test_attributes_schema_primary_ok(self, primary):
+ def test_attributes_schema_primary_param_ok(self, primary):
a = AttributeSchema(name="some_attr", dtype=int, primary=primary)
assert a
assert a.primary == primary
+ @pytest.mark.parametrize("primary", [False, True])
+ @pytest.mark.parametrize(
+ ("dtype", "value"),
+ [
+ (tuple, set("abc")),
+ (tuple, list({"abc", "def"})),
+ (tuple, ({1: 2}, {3: 4})),
+ (tuple, ({1, 2}, {3, 4})),
+ (tuple, ([1, 2], [3, 4])),
+ (tuple, ([1, 2], [3, 4])),
+ ],
+ )
+ def test_attributes_schema_raise_on_tuples_values(self, client, primary, dtype, value):
+ schema = ArraySchema(
+ dimensions=[DimensionSchema(name="x", size=1)],
+ dtype=int,
+ attributes=[AttributeSchema(name="some_attr", dtype=dtype, primary=primary)],
+ )
+ col_name = "test_attrs_values_validation"
+ try:
+ col = client.create_collection(col_name, schema)
+ except DekerCollectionAlreadyExistsError:
+ col = client.get_collection(col_name)
+ col.clear()
+
+ try:
+ if primary:
+ key = "primary_attributes"
+ else:
+ key = "custom_attributes"
+
+ attrs = {key: {"some_attr": value}}
+ with pytest.raises(DekerValidationError):
+ assert col.create(**attrs)
+
+ finally:
+ col.delete()
+
+ @pytest.mark.parametrize("primary", [False, True])
+ @pytest.mark.parametrize(
+ "dtype",
+ [set, dict, None, list],
+ )
+ def test_attributes_schema_raises_on_dtype(self, primary, dtype):
+ with pytest.raises(DekerValidationError):
+ AttributeSchema(name="some_attr", dtype=dtype, primary=primary)
+
@pytest.mark.parametrize("primary", (True, False))
def test_schema_conversion(
diff --git a/tests/test_cases/test_subsets/test_varray_subset_methods.py b/tests/test_cases/test_subsets/test_varray_subset_methods.py
index 1b2bbb9..0719a48 100644
--- a/tests/test_cases/test_subsets/test_varray_subset_methods.py
+++ b/tests/test_cases/test_subsets/test_varray_subset_methods.py
@@ -1,5 +1,10 @@
+import time
+import traceback
+
from collections import OrderedDict
+from concurrent.futures import ThreadPoolExecutor
from datetime import datetime, timedelta, timezone
+from random import randint
from typing import Tuple
import hdf5plugin
@@ -10,15 +15,15 @@
from tests.parameters.index_exp_params import valid_index_exp_params
-from deker import Scale
from deker.arrays import VArray
from deker.client import Client
from deker.collection import Collection
-from deker.errors import DekerArrayError, DekerSubsetError
+from deker.errors import DekerArrayError, DekerSubsetError, DekerVSubsetError
from deker.schemas import AttributeSchema, DimensionSchema, TimeDimensionSchema, VArraySchema
from deker.subset import VSubset
from deker.types.private.classes import ArrayPosition
from deker.types.private.typings import Slice
+from deker.types.public.classes import Scale
class TestVArraySubset:
@@ -523,6 +528,38 @@ def test_vsubset_arrays_calc_3dim(self, client):
coll.delete()
+ def test_DekerVSubsetError_exception_group(
+ self, inserted_varray: VArray, root_path, varray_collection: Collection
+ ):
+ """Test raise of DekerVSubsetError."""
+ excs = [ValueError, TypeError, FileExistsError, FileNotFoundError, EOFError]
+ sleep_time = randint(1, 5)
+
+ def raise_exc(exc):
+ time.sleep(sleep_time)
+ raise exc(f"This is {exc.__name__}")
+
+ def catch_errors(threads_results):
+ exceptions = []
+ for result in threads_results:
+ try:
+ result.result()
+ except Exception as e:
+ exceptions.append(repr(e) + "\n" + traceback.format_exc(-1))
+ if exceptions:
+ raise DekerVSubsetError("ExceptionGroup works", exceptions)
+
+ timer = time.monotonic()
+ with ThreadPoolExecutor(len(excs)) as pool:
+ futures = [pool.submit(raise_exc, exc) for exc in excs]
+
+ with pytest.raises(DekerVSubsetError):
+ assert catch_errors(threads_results=futures)
+ # catch_errors(threads_results=futures)
+
+ test_time = int(time.monotonic() - timer)
+ assert test_time <= sleep_time
+
class TestVSubsetForXArray:
@pytest.fixture(scope="class")
diff --git a/tests/test_cases/test_validators/test_attributes_validator.py b/tests/test_cases/test_validators/test_attributes_validator.py
index 6ad7442..77622c9 100644
--- a/tests/test_cases/test_validators/test_attributes_validator.py
+++ b/tests/test_cases/test_validators/test_attributes_validator.py
@@ -1,9 +1,11 @@
import random
+import numpy as np
import pytest
from tests.parameters.collection_params import ClientParams
+from deker import ArraySchema, AttributeSchema, DimensionSchema
from deker.client import Client
from deker.collection import Collection
from deker.errors import DekerCollectionAlreadyExistsError, DekerValidationError
@@ -617,5 +619,109 @@ def test_no_attributes(self, client):
collection.delete()
+class TestAttributesValues:
+ @pytest.mark.parametrize("primary", [False, True])
+ @pytest.mark.parametrize(
+ ("dtype", "value"),
+ [
+ (str, "123"),
+ (
+ str,
+ "-125.000000000001-0.123456789j",
+ ), # it's not an exact string representation of a complex number
+ (np.int8, np.int8(1)),
+ (np.int16, np.int16(-130)),
+ (np.int32, np.int32(-9999)),
+ (np.int64, np.int64(99999999)),
+ (int, 1),
+ (int, 0),
+ (int, -1),
+ (float, 0.1),
+ (float, -0.1),
+ (np.float16, np.float16(1.0)),
+ (np.float32, np.float32(-130)),
+ (np.float64, np.float64(-9999)),
+ (np.float128, np.float128(99999999)),
+ (complex, complex(0.0000000000001, 9.000000005)),
+ (complex, complex(-0.0000000000001, -1.000000009)),
+ (np.complex64, np.complex64(1.0)),
+ (np.complex128, np.complex128(-130)),
+ (np.complex256, np.complex256(-9999)),
+ (tuple, tuple("abc")),
+ (tuple, tuple({"abc", "def"})),
+ (tuple, (1, 2, 3, 4)),
+ (
+ tuple,
+ (
+ np.int8(1),
+ np.int16(-130),
+ np.int32(-9999),
+ np.int64(99999999),
+ np.float16(1.0),
+ np.float32(-130),
+ np.float64(-9999),
+ np.float128(99999999),
+ np.complex64(1.0),
+ np.complex128(-130),
+ np.complex256(-9999),
+ ),
+ ),
+ (
+ tuple,
+ (
+ 1,
+ 0.1,
+ complex(0.0000000000001, 0.0000000000001),
+ complex(-0.00000000000012567, -0.0000000000001),
+ -0.1,
+ -1,
+ ),
+ ),
+ (tuple, (1, 0.1, complex(0.0000000000001), complex(-0.0000000000001), -0.1, -1)),
+ (
+ tuple,
+ (
+ (1, 0.1, complex(0.0000000000001), complex(-0.0000000000001), -0.1, -1),
+ (1, 0.1, complex(0.0000000000001), complex(-0.0000000000001), -0.1, -1),
+ ),
+ ),
+ (
+ tuple,
+ (
+ (1, 0.1, complex(0.0000000000001), complex(-0.0000000000001), -0.1, -1),
+ (1, 0.1, complex(0.0000000000001), complex(-0.0000000000001), -0.1, -1),
+ ),
+ ),
+ ],
+ )
+ def test_attributes_values_serialize_deserialize_ok(self, client, primary, dtype, value):
+ schema = ArraySchema(
+ dimensions=[DimensionSchema(name="x", size=1)],
+ dtype=int,
+ attributes=[AttributeSchema(name="some_attr", dtype=dtype, primary=primary)],
+ )
+ col_name = "test_attrs_values_validation"
+ try:
+ col = client.create_collection(col_name, schema)
+ except DekerCollectionAlreadyExistsError:
+ col = client.get_collection(col_name)
+ col.clear()
+ try:
+ if primary:
+ key = "primary_attributes"
+ else:
+ key = "custom_attributes"
+ attrs = {key: {schema.attributes[0].name: value}}
+ array = col.create(**attrs)
+ assert array
+ array = [a for a in col][0]
+ attr = getattr(array, key)
+ assert attr[schema.attributes[0].name] == value
+ except Exception:
+ raise
+ finally:
+ col.delete()
+
+
if __name__ == "__main__":
pytest.main()
diff --git a/tests/test_cases/test_validators/test_time_dimension_attributes_validator.py b/tests/test_cases/test_validators/test_time_dimension_attributes_validator.py
index f59bdf4..94be9e8 100644
--- a/tests/test_cases/test_validators/test_time_dimension_attributes_validator.py
+++ b/tests/test_cases/test_validators/test_time_dimension_attributes_validator.py
@@ -1,13 +1,10 @@
-from datetime import datetime, timedelta
+from datetime import timedelta
import pytest
from tests.parameters.common import random_string
-from deker.client import Client
-from deker.collection import Collection
-from deker.errors import DekerCollectionAlreadyExistsError, DekerValidationError
-from deker.schemas import ArraySchema, AttributeSchema, DimensionSchema, TimeDimensionSchema
+from deker.schemas import DimensionSchema, TimeDimensionSchema
@pytest.mark.asyncio()
@@ -42,38 +39,6 @@ def coll_time_params(self) -> dict:
),
}
- @pytest.mark.parametrize(
- "custom_attributes",
- [
- {},
- {"start1": None},
- {"start2": None},
- {"start1": None, "start2": None},
- ],
- )
- def test_time_custom_attributes_None(self, client: Client, custom_attributes: dict):
- """Tests errors on None custom attributes for time dimensions."""
-
- coll_params = self.coll_time_params()
- coll_params["schema"]["attributes"].extend(
- [
- AttributeSchema(name="start1", dtype=datetime, primary=False),
- AttributeSchema(name="start2", dtype=datetime, primary=False),
- ]
- )
- coll_params["schema"] = ArraySchema(**coll_params["schema"]) # type: ignore
- try:
- collection: Collection = client.create_collection(**coll_params)
- except DekerCollectionAlreadyExistsError:
- coll = client.get_collection(coll_params["name"])
- coll.delete()
- collection: Collection = client.create_collection(**coll_params)
- try:
- with pytest.raises(DekerValidationError):
- assert collection.create(custom_attributes=custom_attributes)
- finally:
- collection.delete()
-
if __name__ == "__main__":
pytest.main()