diff --git a/.github/actions/prepare_poetry_env/action.yml b/.github/actions/prepare_poetry_env/action.yml index 4c6264af..fabd9c5d 100644 --- a/.github/actions/prepare_poetry_env/action.yml +++ b/.github/actions/prepare_poetry_env/action.yml @@ -4,7 +4,7 @@ inputs: python-version: description: 'The Python version to use' required: true - default: '3.8' + default: '3.10' runs: using: "composite" steps: diff --git a/.github/workflows/check_packaging.yaml b/.github/workflows/check_packaging.yaml index 00e1f343..27c2943c 100644 --- a/.github/workflows/check_packaging.yaml +++ b/.github/workflows/check_packaging.yaml @@ -10,11 +10,11 @@ jobs: strategy: fail-fast: false matrix: - python-version: [3.8] + python-version: [ "3.10" ] runs-on: ubuntu-latest steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v4 - name: Setup Python & Poetry Environment uses: ./.github/actions/prepare_poetry_env @@ -36,4 +36,4 @@ jobs: - name: Check if packaging changed run: | - [ -z "$(git status --porcelain=v1 -uno 2>/dev/null)" ] \ No newline at end of file + [ -z "$(git status --porcelain=v1 -uno 2>/dev/null)" ] diff --git a/.github/workflows/integration_tests_with_db.yaml b/.github/workflows/integration_tests_with_db.yaml index 210624c6..437b272a 100644 --- a/.github/workflows/integration_tests_with_db.yaml +++ b/.github/workflows/integration_tests_with_db.yaml @@ -7,7 +7,7 @@ jobs: strategy: fail-fast: false matrix: - python-version: [ 3.8 ] + python-version: [ "3.10" ] runs-on: ubuntu-latest steps: @@ -23,7 +23,7 @@ jobs: docker-images: true swap-storage: false - - uses: actions/checkout@v2 + - uses: actions/checkout@v4 - name: Setup Python & Poetry Environment uses: ./.github/actions/prepare_poetry_env diff --git a/.github/workflows/integration_tests_without_db.yaml b/.github/workflows/integration_tests_without_db.yaml index 163aff60..a860caf6 100644 --- a/.github/workflows/integration_tests_without_db.yaml +++ b/.github/workflows/integration_tests_without_db.yaml @@ -8,11 +8,11 @@ jobs: strategy: fail-fast: false matrix: - python-version: [ 3.8 ] + python-version: [ "3.10" ] runs-on: ubuntu-latest name: Prepare Matrix for integration tests without DB steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v4 - name: Setup Python & Poetry Environment uses: ./.github/actions/prepare_poetry_env @@ -28,12 +28,12 @@ jobs: strategy: fail-fast: false matrix: - python-version: [ 3.8 ] + python-version: [ "3.10" ] test-path: ${{ fromJSON(needs.prepare_matrix.outputs.test-path) }} runs-on: ubuntu-latest name: Run ${{ matrix.test-path.name }} steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v4 - name: Setup Python & Poetry Environment uses: ./.github/actions/prepare_poetry_env diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml index 737474c4..cbae70eb 100644 --- a/.github/workflows/release.yaml +++ b/.github/workflows/release.yaml @@ -14,7 +14,7 @@ jobs: steps: - name: SCM Checkout - uses: actions/checkout@v3 + uses: actions/checkout@v4 - name: Setup Python & Poetry Environment uses: ./.github/actions/prepare_poetry_env diff --git a/.github/workflows/unit_tests.yaml b/.github/workflows/unit_tests.yaml index 93abedf2..42bd747a 100644 --- a/.github/workflows/unit_tests.yaml +++ b/.github/workflows/unit_tests.yaml @@ -7,11 +7,11 @@ jobs: strategy: fail-fast: false matrix: - python-version: [3.8] + python-version: [ "3.10" ] runs-on: ubuntu-latest steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v4 - name: Setup Python & Poetry Environment uses: ./.github/actions/prepare_poetry_env diff --git a/.gitignore b/.gitignore index e660e491..1d470648 100644 --- a/.gitignore +++ b/.gitignore @@ -155,3 +155,6 @@ doc/_build # vagrant .vagrant + +# emacs +TAGS diff --git a/conda.yml b/conda.yml index c6e463a6..08e5ed01 100644 --- a/conda.yml +++ b/conda.yml @@ -5,4 +5,4 @@ channels: dependencies: - lua==5.4.* - luarocks - - python==3.8.* + - python==3.10.* diff --git a/doc/changes/changes_0.1.0.md b/doc/changes/changes_0.1.0.md index b15a895e..95a051fb 100644 --- a/doc/changes/changes_0.1.0.md +++ b/doc/changes/changes_0.1.0.md @@ -6,43 +6,44 @@ ### Features -- #1: Added the initial setup of the project -- #4: Added the design document -- #5: Added the system requirements document -- #7: Added Lua event loop -- #6: Added Python event handler -- #24: Added integrations test for event loop -- #28: Extended the EventHandlerContext to a scope-based system for handling temporary objects -- #29: Fixed interface of EventContext and adapted implementation of UDFEventContext -- #30: Sort cleanup queries in reverse order of their creation to ensure that temporary objects that depend on other are removed first -- #34: Added MockEventContext -- #35: Clean up after EventHandler exceptions and throw exceptions when a parent EventHandlerContext encounters an unreleased child during release -- #94: Prepare for release to PyPi -- #17: Added vagrant setup -- #97: Added SocketFactory wrapper which injects faults by losing messages -- #98: Added more robust connection protocol -- #99: Added multi/node udf discovery -- #100: Add combined global and local UDF discovery +* #1: Added the initial setup of the project +* #4: Added the design document +* #5: Added the system requirements document +* #7: Added Lua event loop +* #6: Added Python event handler +* #24: Added integrations test for event loop +* #28: Extended the EventHandlerContext to a scope-based system for handling temporary objects +* #29: Fixed interface of EventContext and adapted implementation of UDFEventContext +* #30: Sort cleanup queries in reverse order of their creation to ensure that temporary objects that depend on other are removed first +* #34: Added MockEventContext +* #35: Clean up after EventHandler exceptions and throw exceptions when a parent EventHandlerContext encounters an unreleased child during release +* #94: Prepare for release to PyPi +* #17: Added vagrant setup +* #97: Added SocketFactory wrapper which injects faults by losing messages +* #98: Added more robust connection protocol +* #99: Added multi/node udf discovery +* #100: Add combined global and local UDF discovery ### Bug Fixes -- #8: Renamed master branch to main -- #62: Fixed bug in ScopeQueryHandlerContext transfer_object_to -- #64: Removed `_check_if_released` calls in `__eq__` and `__hash__` for DBObjectNameProxy -- #65: Fixed that the `ScopeQueryHandlerContext` might not `_release` all child contexts, if a grand-child-context wasn't released -- #68: Fixed that methods called in BucketFSLocationProxy.cleanup can fail and stop the cleanup -- #66: Fixed _ScopeQueryHandlerContextBase.get_temporary_path not being private -- #116: Fix AbortTimeoutSender and add reason to Timeout messages +* #8: Renamed master branch to main +* #62: Fixed bug in ScopeQueryHandlerContext transfer_object_to +* #64: Removed `_check_if_released` calls in `__eq__` and `__hash__` for DBObjectNameProxy +* #65: Fixed that the `ScopeQueryHandlerContext` might not `_release` all child contexts, if a grand-child-context wasn't released +* #68: Fixed that methods called in BucketFSLocationProxy.cleanup can fail and stop the cleanup +* #66: Fixed _ScopeQueryHandlerContextBase.get_temporary_path not being private +* #116: Fix AbortTimeoutSender and add reason to Timeout messages ### Refactoring -- #42: Updated dependencies -- #72: Unified naming of released resources in QueryHandler -- #88: Introduced an abstraction for ZMQ in UDF Communication -- #95: Remove setup.py -- #114: Refactored BackgroundPeerState and introduced parameter objects +* #171: Updated poetry dependencies +* #42: Updated dependencies +* #72: Unified naming of released resources in QueryHandler +* #88: Introduced an abstraction for ZMQ in UDF Communication +* #95: Remove setup.py +* #114: Refactored BackgroundPeerState and introduced parameter objects ### Documentation -- #9: Added README file +* #9: Added README file \ No newline at end of file diff --git a/doc/developer_guide/developer_environment.md b/doc/developer_guide/developer_environment.md index 5e6698fa..fa9c0510 100644 --- a/doc/developer_guide/developer_environment.md +++ b/doc/developer_guide/developer_environment.md @@ -8,7 +8,7 @@ For this project you need - Lua 5.4 - Luarocks 3.* -- Python 3.8 +- Python 3.10 - Poetry ### Install on a desktop machine diff --git a/exasol_data_science_utils_python/schema/__init__.py b/exasol_data_science_utils_python/schema/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/exasol_data_science_utils_python/schema/column.py b/exasol_data_science_utils_python/schema/column.py new file mode 100644 index 00000000..2aa20431 --- /dev/null +++ b/exasol_data_science_utils_python/schema/column.py @@ -0,0 +1,16 @@ +import dataclasses + +import typeguard + +from exasol_data_science_utils_python.schema.column_name import ColumnName +from exasol_data_science_utils_python.schema.column_type import ColumnType +from exasol_data_science_utils_python.utils.data_classes_runtime_type_check import check_dataclass_types + + +@dataclasses.dataclass(frozen=True, repr=True, eq=True) +class Column: + name: ColumnName + type: ColumnType + + def __post_init__(self): + check_dataclass_types(self) \ No newline at end of file diff --git a/exasol_data_science_utils_python/schema/column_builder.py b/exasol_data_science_utils_python/schema/column_builder.py new file mode 100644 index 00000000..74abca85 --- /dev/null +++ b/exasol_data_science_utils_python/schema/column_builder.py @@ -0,0 +1,27 @@ +from typing import Union + +from exasol_data_science_utils_python.schema.column import Column +from exasol_data_science_utils_python.schema.column_name import ColumnName +from exasol_data_science_utils_python.schema.column_type import ColumnType + + +class ColumnBuilder: + def __init__(self, column: Union[Column, None] = None): + if column is not None: + self._name = column.name + self._type = column.type + else: + self._name = None + self._type = None + + def with_name(self, name: ColumnName) -> "ColumnBuilder": + self._name = name + return self + + def with_type(self, type: ColumnType) -> "ColumnBuilder": + self._type = type + return self + + def build(self) -> Column: + column = Column(self._name, self._type) + return column diff --git a/exasol_data_science_utils_python/schema/column_name.py b/exasol_data_science_utils_python/schema/column_name.py new file mode 100644 index 00000000..82bb8776 --- /dev/null +++ b/exasol_data_science_utils_python/schema/column_name.py @@ -0,0 +1,36 @@ +from typeguard import typechecked + +from exasol_data_science_utils_python.schema.exasol_identifier import ExasolIdentifier +from exasol_data_science_utils_python.schema.exasol_identifier_impl import ExasolIdentifierImpl +from exasol_data_science_utils_python.schema.table_name import TableLikeName +from exasol_data_science_utils_python.utils.hash_generation_for_object import generate_hash_for_object +from exasol_data_science_utils_python.utils.repr_generation_for_object import generate_repr_for_object + + +class ColumnName(ExasolIdentifierImpl): + @typechecked + def __init__(self, name: str, table_like_name: TableLikeName = None): + super().__init__(name) + self._table_like_name = table_like_name + + @property + def table_like_name(self): + return self._table_like_name + + @property + def fully_qualified(self) -> str: + if self.table_like_name is not None: + return f'{self._table_like_name.fully_qualified}.{self.quoted_name}' + else: + return self.quoted_name + + def __eq__(self, other): + return isinstance(other, ColumnName) and \ + self._name == other.name and \ + self._table_like_name == other.table_like_name + + def __repr__(self): + return generate_repr_for_object(self) + + def __hash__(self): + return generate_hash_for_object(self) diff --git a/exasol_data_science_utils_python/schema/column_name_builder.py b/exasol_data_science_utils_python/schema/column_name_builder.py new file mode 100644 index 00000000..47e91cd1 --- /dev/null +++ b/exasol_data_science_utils_python/schema/column_name_builder.py @@ -0,0 +1,41 @@ +from typing import Optional + +from exasol_data_science_utils_python.schema.column_name import ColumnName +from exasol_data_science_utils_python.schema.table_name import TableLikeName + + +class ColumnNameBuilder: + def __init__(self, + name: Optional[str] = None, + table_like_name: Optional[TableLikeName] = None, + column_name: Optional[ColumnName] = None): + """ + Creates a builder for ColumnName objects, + either by copying a ColumnName object or + using the newly provided values. + """ + self._name = None + self._table_like_name = None + if column_name is not None: + self._name = column_name.name + self._table_like_name = column_name.table_like_name + if name is not None: + self._name = name + if table_like_name is not None: + self._table_like_name = table_like_name + + def with_name(self, name: str) -> "ColumnNameBuilder": + self._name = name + return self + + def with_table_like_name(self, table_like_name: TableLikeName) -> "ColumnNameBuilder": + self._table_like_name = table_like_name + return self + + def build(self) -> ColumnName: + name = self.create(self._name, table_like_name=self._table_like_name) + return name + + @staticmethod + def create(name: str, table_like_name: Optional[TableLikeName] = None) -> ColumnName: + return ColumnName(name, table_like_name) diff --git a/exasol_data_science_utils_python/schema/column_type.py b/exasol_data_science_utils_python/schema/column_type.py new file mode 100644 index 00000000..ae498890 --- /dev/null +++ b/exasol_data_science_utils_python/schema/column_type.py @@ -0,0 +1,21 @@ +import dataclasses +from typing import Optional + +import typeguard + +from exasol_data_science_utils_python.utils.data_classes_runtime_type_check import check_dataclass_types + + +@dataclasses.dataclass(frozen=True, repr=True, eq=True) +class ColumnType: + name: str + precision: Optional[int] = None + scale: Optional[int] = None + size: Optional[int] = None + characterSet: Optional[str] = None + withLocalTimeZone: Optional[bool] = None + fraction: Optional[int] = None + srid: Optional[int] = None + + def __post_init__(self): + check_dataclass_types(self) \ No newline at end of file diff --git a/exasol_data_science_utils_python/schema/connection_object_name.py b/exasol_data_science_utils_python/schema/connection_object_name.py new file mode 100644 index 00000000..85af5c81 --- /dev/null +++ b/exasol_data_science_utils_python/schema/connection_object_name.py @@ -0,0 +1,14 @@ +from abc import abstractmethod + +from exasol_data_science_utils_python.schema.dbobject_name import DBObjectName + + +class ConnectionObjectName(DBObjectName): + + @property + @abstractmethod + def normalized_name_for_udfs(self) -> str: + """ + The normalized name of the ConnectionObject + which can be used in UDFs to retrieve the ConnectionObject + """ diff --git a/exasol_data_science_utils_python/schema/connection_object_name_builder.py b/exasol_data_science_utils_python/schema/connection_object_name_builder.py new file mode 100644 index 00000000..e3d0f07e --- /dev/null +++ b/exasol_data_science_utils_python/schema/connection_object_name_builder.py @@ -0,0 +1,22 @@ +from typing import Union, Optional + +from exasol_data_science_utils_python.schema.connection_object_name import ConnectionObjectName +from exasol_data_science_utils_python.schema.connection_object_name_impl import ConnectionObjectNameImpl +from exasol_data_science_utils_python.schema.schema_name import SchemaName +from exasol_data_science_utils_python.schema.table_name import TableName +from exasol_data_science_utils_python.schema.table_name_impl import TableNameImpl +from exasol_data_science_utils_python.schema.view_name import ViewName +from exasol_data_science_utils_python.schema.view_name_impl import ViewNameImpl + + +class ConnectionObjectNameBuilder: + + def __init__(self, name: str): + self._name = name + + def build(self) -> ConnectionObjectName: + return self.create(self._name) + + @classmethod + def create(cls, name: str): + return ConnectionObjectNameImpl(name) diff --git a/exasol_data_science_utils_python/schema/connection_object_name_impl.py b/exasol_data_science_utils_python/schema/connection_object_name_impl.py new file mode 100644 index 00000000..0bb9a834 --- /dev/null +++ b/exasol_data_science_utils_python/schema/connection_object_name_impl.py @@ -0,0 +1,33 @@ +from typing import cast + +from exasol_data_science_utils_python.schema.connection_object_name import ConnectionObjectName +from exasol_data_science_utils_python.schema.dbobject_name_impl import DBObjectNameImpl +from exasol_data_science_utils_python.utils.repr_generation_for_object import generate_repr_for_object + + +class ConnectionObjectNameImpl(DBObjectNameImpl, ConnectionObjectName): + + def __init__(self, name: str): + super().__init__(name) + + @property + def normalized_name_for_udfs(self) -> str: + return self.name.upper() + + @property + def fully_qualified(self) -> str: + return self.quoted_name + + def __repr__(self): + return generate_repr_for_object(self) + + def __eq__(self, other): + # Connection names are case-insensitive https://docs.exasol.com/db/latest/sql/create_connection.htm + return type(other) == type(self) and \ + self._name.upper() == cast(ConnectionObjectName, other).name.upper() + + def __hash__(self): + # Connection names are case-insensitive https://docs.exasol.com/db/latest/sql/create_connection.htm + assert len(self.__dict__) == 1, f"The attributes of {self.__class__} changed, " \ + f"you need to update the __hash__ method" + return hash(self._name.upper()) diff --git a/exasol_data_science_utils_python/schema/dbobject.py b/exasol_data_science_utils_python/schema/dbobject.py new file mode 100644 index 00000000..08a7f39a --- /dev/null +++ b/exasol_data_science_utils_python/schema/dbobject.py @@ -0,0 +1,31 @@ +from abc import ABC +from typing import TypeVar, Generic + +from typeguard import typechecked + +from exasol_data_science_utils_python.schema.dbobject_name import DBObjectName +from exasol_data_science_utils_python.utils.hash_generation_for_object import generate_hash_for_object +from exasol_data_science_utils_python.utils.repr_generation_for_object import generate_repr_for_object + +NameType = TypeVar('NameType', bound=DBObjectName) + + +class DBObject(Generic[NameType], ABC): + + @typechecked + def __init__(self, name: NameType): + self._name = name + + @property + def name(self) -> NameType: + return self._name + + def __eq__(self, other): + return type(other) == type(self) and \ + self._name == other.name + + def __repr__(self): + return generate_repr_for_object(self) + + def __hash__(self): + return generate_hash_for_object(self) diff --git a/exasol_data_science_utils_python/schema/dbobject_name.py b/exasol_data_science_utils_python/schema/dbobject_name.py new file mode 100644 index 00000000..56dd38a5 --- /dev/null +++ b/exasol_data_science_utils_python/schema/dbobject_name.py @@ -0,0 +1,5 @@ +from exasol_data_science_utils_python.schema.exasol_identifier import ExasolIdentifier + + +class DBObjectName(ExasolIdentifier): + """Abstract calls which represents the name of a DBObject""" diff --git a/exasol_data_science_utils_python/schema/dbobject_name_impl.py b/exasol_data_science_utils_python/schema/dbobject_name_impl.py new file mode 100644 index 00000000..47eff68c --- /dev/null +++ b/exasol_data_science_utils_python/schema/dbobject_name_impl.py @@ -0,0 +1,23 @@ +from typeguard import typechecked + +from exasol_data_science_utils_python.schema.dbobject_name import DBObjectName +from exasol_data_science_utils_python.schema.exasol_identifier_impl import ExasolIdentifierImpl +from exasol_data_science_utils_python.utils.hash_generation_for_object import generate_hash_for_object +from exasol_data_science_utils_python.utils.repr_generation_for_object import generate_repr_for_object + + +class DBObjectNameImpl(ExasolIdentifierImpl, DBObjectName): + + @typechecked + def __init__(self, db_object_name: str): + super().__init__(db_object_name) + + def __repr__(self) -> str: + return generate_repr_for_object(self) + + def __eq__(self, other) -> bool: + return type(other) == type(self) and \ + self.name == other.name + + def __hash__(self): + return generate_hash_for_object(self) diff --git a/exasol_data_science_utils_python/schema/dbobject_name_with_schema.py b/exasol_data_science_utils_python/schema/dbobject_name_with_schema.py new file mode 100644 index 00000000..fe0cc670 --- /dev/null +++ b/exasol_data_science_utils_python/schema/dbobject_name_with_schema.py @@ -0,0 +1,14 @@ +from abc import abstractmethod + +from exasol_data_science_utils_python.schema.dbobject_name import DBObjectName +from exasol_data_science_utils_python.schema.schema_name import SchemaName + + +class DBObjectNameWithSchema(DBObjectName): + + @property + @abstractmethod + def schema_name(self) -> SchemaName: + """ + Schema name for the DBObject name + """ diff --git a/exasol_data_science_utils_python/schema/dbobject_name_with_schema_impl.py b/exasol_data_science_utils_python/schema/dbobject_name_with_schema_impl.py new file mode 100644 index 00000000..d82285f7 --- /dev/null +++ b/exasol_data_science_utils_python/schema/dbobject_name_with_schema_impl.py @@ -0,0 +1,39 @@ +from typing import Optional + +from typeguard import typechecked + +from exasol_data_science_utils_python.schema.dbobject_name_impl import DBObjectNameImpl +from exasol_data_science_utils_python.schema.dbobject_name_with_schema import DBObjectNameWithSchema +from exasol_data_science_utils_python.schema.schema_name import SchemaName +from exasol_data_science_utils_python.utils.hash_generation_for_object import generate_hash_for_object +from exasol_data_science_utils_python.utils.repr_generation_for_object import generate_repr_for_object + + +class DBObjectNameWithSchemaImpl(DBObjectNameImpl, DBObjectNameWithSchema): + + @typechecked + def __init__(self, db_object_name: str, schema: Optional[SchemaName] = None): + super().__init__(db_object_name) + self._schema_name = schema + + @property + def schema_name(self) -> SchemaName: + return self._schema_name + + @property + def fully_qualified(self) -> str: + if self.schema_name is not None: + return f'{self._schema_name.fully_qualified}.{self.quoted_name}' + else: + return self.quoted_name + + def __repr__(self) -> str: + return generate_repr_for_object(self) + + def __eq__(self, other) -> bool: + return type(other) == type(self) and \ + self._name == other.name and \ + self._schema_name == other.schema_name + + def __hash__(self): + return generate_hash_for_object(self) diff --git a/exasol_data_science_utils_python/schema/exasol_identifier.py b/exasol_data_science_utils_python/schema/exasol_identifier.py new file mode 100644 index 00000000..409f339d --- /dev/null +++ b/exasol_data_science_utils_python/schema/exasol_identifier.py @@ -0,0 +1,37 @@ +from abc import ABC, abstractmethod + + +class ExasolIdentifier(ABC): + + @property + @abstractmethod + def name(self) -> str: + """ + The name of the ExasolIdentifier + """ + + @property + @abstractmethod + def quoted_name(self) -> str: + """ + The quoted name of the ExasolIdentifier, e.g. "table_like_name" + """ + + @property + @abstractmethod + def fully_qualified(self) -> str: + """ + The full qualified name of the ExasolIdentifier, e.g. "schema_name"."table_like_name" + """ + + @abstractmethod + def __eq__(self, other): + pass + + @abstractmethod + def __repr__(self): + pass + + @abstractmethod + def __hash__(self): + pass diff --git a/exasol_data_science_utils_python/schema/exasol_identifier_impl.py b/exasol_data_science_utils_python/schema/exasol_identifier_impl.py new file mode 100644 index 00000000..6fb5796d --- /dev/null +++ b/exasol_data_science_utils_python/schema/exasol_identifier_impl.py @@ -0,0 +1,76 @@ +import unicodedata + +from typeguard import typechecked + +from exasol_data_science_utils_python.schema.exasol_identifier import ExasolIdentifier + + +class UnicodeCategories: + UPPERCASE_LETTER = 'Lu' + LOWERCASE_LETTER = 'Ll' + TITLECASE_LETTER = 'Lt' + MODIFIER_LETTER = 'Lm' + OTHER_LETTER = 'Lo' + LETTER_NUMBER = 'Nl' + NON_SPACING_MARK = 'Mn' + COMBINING_SPACING_MARK = 'Mc' + DECIMAL_DIGIT_NUMBER = 'Nd' + CONNECTOR_PUNCTUATION = 'Pc' + FORMAT = 'Cf' + + +class ExasolIdentifierImpl(ExasolIdentifier): + + @typechecked + def __init__(self, name: str): + if not self._validate_name(name): + raise ValueError(f"Name '{name}' is not valid") + self._name = name + + @property + def name(self) -> str: + return self._name + + @property + def quoted_name(self) -> str: + return f'"{self._name}"' + + @classmethod + def _validate_name(cls, name: str) -> bool: + if name is None or name == "": + return False + if not cls._validate_first_character(name[0]): + return False + for c in name[1:]: + if not cls._validate_follow_up_character(c): + return False + return True + + @classmethod + def _validate_first_character(cls, chararcter: str) -> bool: + unicode_category = unicodedata.category(chararcter) + return \ + unicode_category == UnicodeCategories.UPPERCASE_LETTER or \ + unicode_category == UnicodeCategories.LOWERCASE_LETTER or \ + unicode_category == UnicodeCategories.TITLECASE_LETTER or \ + unicode_category == UnicodeCategories.MODIFIER_LETTER or \ + unicode_category == UnicodeCategories.OTHER_LETTER or \ + unicode_category == UnicodeCategories.LETTER_NUMBER or \ + unicode_category == UnicodeCategories.DECIMAL_DIGIT_NUMBER + + @classmethod + def _validate_follow_up_character(cls, chararcter: str) -> bool: + unicode_category = unicodedata.category(chararcter) + return \ + unicode_category == UnicodeCategories.UPPERCASE_LETTER or \ + unicode_category == UnicodeCategories.LOWERCASE_LETTER or \ + unicode_category == UnicodeCategories.TITLECASE_LETTER or \ + unicode_category == UnicodeCategories.MODIFIER_LETTER or \ + unicode_category == UnicodeCategories.OTHER_LETTER or \ + unicode_category == UnicodeCategories.LETTER_NUMBER or \ + unicode_category == UnicodeCategories.NON_SPACING_MARK or \ + unicode_category == UnicodeCategories.COMBINING_SPACING_MARK or \ + unicode_category == UnicodeCategories.DECIMAL_DIGIT_NUMBER or \ + unicode_category == UnicodeCategories.CONNECTOR_PUNCTUATION or \ + unicode_category == UnicodeCategories.FORMAT or \ + chararcter == '\u00B7' diff --git a/exasol_data_science_utils_python/schema/experiment_name.py b/exasol_data_science_utils_python/schema/experiment_name.py new file mode 100644 index 00000000..fe0d4555 --- /dev/null +++ b/exasol_data_science_utils_python/schema/experiment_name.py @@ -0,0 +1,26 @@ +from typeguard import typechecked + +from exasol_data_science_utils_python.schema.exasol_identifier import ExasolIdentifier +from exasol_data_science_utils_python.schema.exasol_identifier_impl import ExasolIdentifierImpl +from exasol_data_science_utils_python.utils.hash_generation_for_object import generate_hash_for_object +from exasol_data_science_utils_python.utils.repr_generation_for_object import generate_repr_for_object + + +class ExperimentName(ExasolIdentifierImpl): + @typechecked + def __init__(self, name: str): + super().__init__(name) + + @property + def fully_qualified(self) -> str: + return self.quoted_name + + def __eq__(self, other): + return isinstance(other, ExperimentName) and \ + self._name == other.name + + def __repr__(self): + return generate_repr_for_object(self) + + def __hash__(self): + return generate_hash_for_object(self) diff --git a/exasol_data_science_utils_python/schema/schema_name.py b/exasol_data_science_utils_python/schema/schema_name.py new file mode 100644 index 00000000..8c8d730c --- /dev/null +++ b/exasol_data_science_utils_python/schema/schema_name.py @@ -0,0 +1,14 @@ +from typeguard import typechecked + +from exasol_data_science_utils_python.schema.dbobject_name_impl import DBObjectNameImpl + + +class SchemaName(DBObjectNameImpl): + + @typechecked + def __init__(self, schema_name: str): + super().__init__(schema_name) + + @property + def fully_qualified(self) -> str: + return self.quoted_name diff --git a/exasol_data_science_utils_python/schema/table.py b/exasol_data_science_utils_python/schema/table.py new file mode 100644 index 00000000..2e8eea20 --- /dev/null +++ b/exasol_data_science_utils_python/schema/table.py @@ -0,0 +1,14 @@ +from typing import List + +from typeguard import typechecked + +from exasol_data_science_utils_python.schema.column import Column +from exasol_data_science_utils_python.schema.table_like import TableLike +from exasol_data_science_utils_python.schema.table_name import TableName + + +class Table(TableLike[TableName]): + + @typechecked + def __init__(self, name: TableName, columns: List[Column]): + super().__init__(name, columns) diff --git a/exasol_data_science_utils_python/schema/table_builder.py b/exasol_data_science_utils_python/schema/table_builder.py new file mode 100644 index 00000000..6ffd11c6 --- /dev/null +++ b/exasol_data_science_utils_python/schema/table_builder.py @@ -0,0 +1,27 @@ +from typing import Union, List + +from exasol_data_science_utils_python.schema.column import Column +from exasol_data_science_utils_python.schema.table import Table +from exasol_data_science_utils_python.schema.table_name import TableName + + +class TableBuilder: + def __init__(self, table: Union[Table, None] = None): + if table is not None: + self._name = table.name + self._columns = table.columns + else: + self._name = None + self._columns = None + + def with_name(self, name: TableName) -> "TableBuilder": + self._name = name + return self + + def with_columns(self, columns: List[Column]) -> "TableBuilder": + self._columns = columns + return self + + def build(self) -> Table: + table = Table(self._name, self._columns) + return table diff --git a/exasol_data_science_utils_python/schema/table_like.py b/exasol_data_science_utils_python/schema/table_like.py new file mode 100644 index 00000000..68a6e38c --- /dev/null +++ b/exasol_data_science_utils_python/schema/table_like.py @@ -0,0 +1,36 @@ +from abc import ABC +from typing import List, TypeVar, Generic + +from typeguard import typechecked + +from exasol_data_science_utils_python.schema.column import Column +from exasol_data_science_utils_python.schema.dbobject import DBObject +from exasol_data_science_utils_python.schema.table_like_name import TableLikeName +from exasol_data_science_utils_python.utils.hash_generation_for_object import generate_hash_for_object +from exasol_data_science_utils_python.utils.repr_generation_for_object import generate_repr_for_object + +NameType = TypeVar('NameType', bound=TableLikeName) + + +class TableLike(DBObject[NameType], ABC): + + @typechecked + def __init__(self, name: NameType, columns: List[Column]): + super().__init__(name) + self._columns = columns + if len(self._columns)==0: + raise ValueError("At least one column needed.") + unique_column_names = {column.name for column in self.columns} + if len(unique_column_names) != len(columns): + raise ValueError("Column names are not unique.") + + @property + def columns(self) -> List[Column]: + return list(self._columns) + + def __eq__(self, other): + return super().__eq__(other) and \ + self._columns == other.columns + + def __hash__(self): + return generate_hash_for_object(self) diff --git a/exasol_data_science_utils_python/schema/table_like_name.py b/exasol_data_science_utils_python/schema/table_like_name.py new file mode 100644 index 00000000..d703de18 --- /dev/null +++ b/exasol_data_science_utils_python/schema/table_like_name.py @@ -0,0 +1,7 @@ +from abc import ABC + +from exasol_data_science_utils_python.schema.dbobject_name_with_schema import DBObjectNameWithSchema + + +class TableLikeName(DBObjectNameWithSchema, ABC): + """Abstract DBObjectName for table like objects, such as Tables and Views""" diff --git a/exasol_data_science_utils_python/schema/table_like_name_impl.py b/exasol_data_science_utils_python/schema/table_like_name_impl.py new file mode 100644 index 00000000..19ba9b52 --- /dev/null +++ b/exasol_data_science_utils_python/schema/table_like_name_impl.py @@ -0,0 +1,14 @@ +from typing import Optional + +from typeguard import typechecked + +from exasol_data_science_utils_python.schema.dbobject_name_with_schema_impl import DBObjectNameWithSchemaImpl +from exasol_data_science_utils_python.schema.schema_name import SchemaName +from exasol_data_science_utils_python.schema.table_like_name import TableLikeName + + +class TableLikeNameImpl(DBObjectNameWithSchemaImpl, TableLikeName): + + @typechecked + def __init__(self, table_like_name: str, schema: Optional[SchemaName] = None): + super().__init__(table_like_name, schema) diff --git a/exasol_data_science_utils_python/schema/table_name.py b/exasol_data_science_utils_python/schema/table_name.py new file mode 100644 index 00000000..85b28e18 --- /dev/null +++ b/exasol_data_science_utils_python/schema/table_name.py @@ -0,0 +1,5 @@ +from exasol_data_science_utils_python.schema.table_like_name import TableLikeName + + +class TableName(TableLikeName): + """A DBObjectName class which represents the name of a Table""" diff --git a/exasol_data_science_utils_python/schema/table_name_builder.py b/exasol_data_science_utils_python/schema/table_name_builder.py new file mode 100644 index 00000000..a83778c3 --- /dev/null +++ b/exasol_data_science_utils_python/schema/table_name_builder.py @@ -0,0 +1,43 @@ +from typing import Union, Optional + +from exasol_data_science_utils_python.schema.schema_name import SchemaName +from exasol_data_science_utils_python.schema.table_name import TableName +from exasol_data_science_utils_python.schema.table_name_impl import TableNameImpl + + +class TableNameBuilder: + + def __init__(self, + name: Optional[str] = None, + schema: Optional[SchemaName] = None, + table_name: Optional[TableName] = None): + """ + Creates a builder for TableName objects, + either by copying a TableName object (parameter "table_like_name") or + using the newly provided values. + Note that parameters schema/name have priority over parameter "table_like_name". + """ + self._name = None + self._schema_name = None + if table_name is not None: + self._name = table_name.name + self._schema_name = table_name.schema_name + if name is not None: + self._name = name + if schema is not None: + self._schema_name = schema + + def with_name(self, name: str) -> "TableNameBuilder": + self._name = name + return self + + def with_schema_name(self, schema_name: SchemaName) -> "TableNameBuilder": + self._schema_name = schema_name + return self + + def build(self) -> TableName: + return self.create(self._name, self._schema_name) + + @staticmethod + def create(name: str, schema: Optional[SchemaName] = None) -> TableName: + return TableNameImpl(name, schema) diff --git a/exasol_data_science_utils_python/schema/table_name_impl.py b/exasol_data_science_utils_python/schema/table_name_impl.py new file mode 100644 index 00000000..56d9ea36 --- /dev/null +++ b/exasol_data_science_utils_python/schema/table_name_impl.py @@ -0,0 +1,14 @@ +from typing import Optional + +from typeguard import typechecked + +from exasol_data_science_utils_python.schema.schema_name import SchemaName +from exasol_data_science_utils_python.schema.table_like_name_impl import TableLikeNameImpl +from exasol_data_science_utils_python.schema.table_name import TableName + + +class TableNameImpl(TableLikeNameImpl, TableName): + + @typechecked + def __init__(self, table_name: str, schema: Optional[SchemaName] = None): + super().__init__(table_name, schema) diff --git a/exasol_data_science_utils_python/schema/udf_name.py b/exasol_data_science_utils_python/schema/udf_name.py new file mode 100644 index 00000000..ad6b285b --- /dev/null +++ b/exasol_data_science_utils_python/schema/udf_name.py @@ -0,0 +1,5 @@ +from exasol_data_science_utils_python.schema.dbobject_name_with_schema import DBObjectNameWithSchema + + +class UDFName(DBObjectNameWithSchema): + """A DBObjectName class which represents the name of a UDF""" diff --git a/exasol_data_science_utils_python/schema/udf_name_builder.py b/exasol_data_science_utils_python/schema/udf_name_builder.py new file mode 100644 index 00000000..6795c1ec --- /dev/null +++ b/exasol_data_science_utils_python/schema/udf_name_builder.py @@ -0,0 +1,43 @@ +from typing import Optional + +from exasol_data_science_utils_python.schema.schema_name import SchemaName +from exasol_data_science_utils_python.schema.udf_name import UDFName +from exasol_data_science_utils_python.schema.udf_name_impl import UDFNameImpl + + +class UDFNameBuilder: + + def __init__(self, + name: Optional[str] = None, + schema: Optional[SchemaName] = None, + udf_name: Optional[UDFName] = None): + """ + Creates a builder for UDFName objects, + either by copying a UDFName object (parameter "udf_name") or + using the newly provided values. + Note that parameters schema/name have priority over parameter udf_name. + """ + self._name = None + self._schema_name = None + if udf_name is not None: + self._name = udf_name.name + self._schema_name = udf_name.schema_name + if name is not None: + self._name = name + if schema is not None: + self._schema_name = schema + + def with_name(self, name: str) -> "UDFNameBuilder": + self._name = name + return self + + def with_schema_name(self, schema_name: SchemaName) -> "UDFNameBuilder": + self._schema_name = schema_name + return self + + def build(self) -> UDFName: + return self.create(self._name, self._schema_name) + + @staticmethod + def create(name: str, schema: Optional[SchemaName] = None) -> UDFName: + return UDFNameImpl(name, schema) diff --git a/exasol_data_science_utils_python/schema/udf_name_impl.py b/exasol_data_science_utils_python/schema/udf_name_impl.py new file mode 100644 index 00000000..87026d85 --- /dev/null +++ b/exasol_data_science_utils_python/schema/udf_name_impl.py @@ -0,0 +1,14 @@ +from typing import Optional + +from typeguard import typechecked + +from exasol_data_science_utils_python.schema.dbobject_name_with_schema_impl import DBObjectNameWithSchemaImpl +from exasol_data_science_utils_python.schema.schema_name import SchemaName +from exasol_data_science_utils_python.schema.udf_name import UDFName + + +class UDFNameImpl(DBObjectNameWithSchemaImpl, UDFName): + + @typechecked + def __init__(self, udf_name: str, schema: Optional[SchemaName] = None): + super().__init__(udf_name, schema) diff --git a/exasol_data_science_utils_python/schema/view.py b/exasol_data_science_utils_python/schema/view.py new file mode 100644 index 00000000..dbeab8e5 --- /dev/null +++ b/exasol_data_science_utils_python/schema/view.py @@ -0,0 +1,14 @@ +from typing import List + +from typeguard import typechecked + +from exasol_data_science_utils_python.schema.column import Column +from exasol_data_science_utils_python.schema.table_like import TableLike +from exasol_data_science_utils_python.schema.view_name import ViewName + + +class View(TableLike[ViewName]): + + @typechecked + def __init__(self, name: ViewName, columns: List[Column]): + super().__init__(name, columns) diff --git a/exasol_data_science_utils_python/schema/view_name.py b/exasol_data_science_utils_python/schema/view_name.py new file mode 100644 index 00000000..0dca3c95 --- /dev/null +++ b/exasol_data_science_utils_python/schema/view_name.py @@ -0,0 +1,5 @@ +from exasol_data_science_utils_python.schema.table_like_name import TableLikeName + + +class ViewName(TableLikeName): + """A DBObjectName class which represents the name of a View""" diff --git a/exasol_data_science_utils_python/schema/view_name_builder.py b/exasol_data_science_utils_python/schema/view_name_builder.py new file mode 100644 index 00000000..e7b4f291 --- /dev/null +++ b/exasol_data_science_utils_python/schema/view_name_builder.py @@ -0,0 +1,44 @@ +from typing import Optional + +from exasol_data_science_utils_python.schema.schema_name import SchemaName + +from exasol_data_science_utils_python.schema.view_name import ViewName +from exasol_data_science_utils_python.schema.view_name_impl import ViewNameImpl + + +class ViewNameBuilder: + + def __init__(self, + name: Optional[str] = None, + schema: Optional[SchemaName] = None, + view_name: Optional[ViewName] = None): + """ + Creates a builder for ViewName objects, + either by copying a ViewName (parameter view_name) object or + using the newly provided values. + Note that parameters schema/name have priority over parameter view_name. + """ + self._name = None + self._schema_name = None + if view_name is not None: + self._name = view_name.name + self._schema_name = view_name.schema_name + if name is not None: + self._name = name + if schema is not None: + self._schema_name = schema + + def with_name(self, name: str) -> "ViewNameBuilder": + self._name = name + return self + + def with_schema_name(self, schema_name: SchemaName) -> "ViewNameBuilder": + self._schema_name = schema_name + return self + + def build(self) -> ViewName: + return self.create(self._name, self._schema_name) + + @staticmethod + def create(name: str, schema: Optional[SchemaName] = None) -> ViewName: + return ViewNameImpl(name, schema) diff --git a/exasol_data_science_utils_python/schema/view_name_impl.py b/exasol_data_science_utils_python/schema/view_name_impl.py new file mode 100644 index 00000000..288dc9e5 --- /dev/null +++ b/exasol_data_science_utils_python/schema/view_name_impl.py @@ -0,0 +1,14 @@ +from typing import Optional + +from typeguard import typechecked + +from exasol_data_science_utils_python.schema.schema_name import SchemaName +from exasol_data_science_utils_python.schema.table_like_name_impl import TableLikeNameImpl +from exasol_data_science_utils_python.schema.view_name import ViewName + + +class ViewNameImpl(TableLikeNameImpl, ViewName): + + @typechecked + def __init__(self, view_name: str, schema: Optional[SchemaName] = None): + super().__init__(view_name, schema) diff --git a/exasol_data_science_utils_python/udf_utils/__init__.py b/exasol_data_science_utils_python/udf_utils/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/exasol_data_science_utils_python/udf_utils/iterator_utils.py b/exasol_data_science_utils_python/udf_utils/iterator_utils.py new file mode 100644 index 00000000..10c81d88 --- /dev/null +++ b/exasol_data_science_utils_python/udf_utils/iterator_utils.py @@ -0,0 +1,45 @@ +from typing import Callable, Any + +import pandas as pd + + +def iterate_trough_dataset(ctx, batch_size: int, + map_function: Callable[[pd.DataFrame], Any], + init_function: Callable[[], Any], + aggregate_function: Callable[[Any, Any], Any], + reset_function: Callable[[], Any]): + reset_function() + number_of_tuples_left = ctx.size() + state = init_function() + while True: + if number_of_tuples_left < batch_size: + if number_of_tuples_left > 0: + df = ctx.get_dataframe(number_of_tuples_left) + number_of_tuples_left = 0 + else: + reset_function() + break + else: + df = ctx.get_dataframe(batch_size) + number_of_tuples_left = number_of_tuples_left - batch_size + result = map_function(df) + state = aggregate_function(state, result) + return state + + +def ctx_iterator(ctx, batch_size: int, reset_function: Callable[[], Any]): + reset_function() + number_of_tuples_left = ctx.size() + while True: + if number_of_tuples_left < batch_size: + if number_of_tuples_left > 0: + df = ctx.get_dataframe(num_rows=number_of_tuples_left) + yield df + number_of_tuples_left = 0 + else: + reset_function() + break + else: + df = ctx.get_dataframe(num_rows=batch_size) + yield df + number_of_tuples_left = max(0, number_of_tuples_left - batch_size) diff --git a/exasol_data_science_utils_python/udf_utils/pyexasol_sql_executor.py b/exasol_data_science_utils_python/udf_utils/pyexasol_sql_executor.py new file mode 100644 index 00000000..54413e3b --- /dev/null +++ b/exasol_data_science_utils_python/udf_utils/pyexasol_sql_executor.py @@ -0,0 +1,80 @@ +from typing import List, Any, Tuple + +import pyexasol +from pyexasol import ExaStatement + +from exasol_data_science_utils_python.schema.column import Column +from exasol_data_science_utils_python.schema.column import ColumnName +from exasol_data_science_utils_python.schema.column import ColumnType +from exasol_data_science_utils_python.schema.column_name_builder import ColumnNameBuilder +from exasol_data_science_utils_python.udf_utils.sql_executor import SQLExecutor, ResultSet + +SRID = "srid" + +FRACTION = "fraction" + +WITH_LOCAL_TIME_ZONE = "withLocalTimeZone" + +CHARACTER_SET = "characterSet" + +SIZE = "size" + +SCALE = "scale" + +PRECISION = "precision" + +DEFAULT_FETCHMANY_SIZE = 10000 + + +class PyExasolResultSet(ResultSet): + def __init__(self, statement: ExaStatement): + self.statement = statement + + def __iter__(self): + return self + + def __next__(self) -> Tuple[Any]: + return self.statement.__next__() + + def fetchone(self) -> Tuple[Any]: + return self.statement.fetchone() + + def fetchmany(self, size=DEFAULT_FETCHMANY_SIZE) -> List[Tuple[Any]]: + return self.statement.fetchmany(size) + + def fetchall(self) -> List[Tuple[Any]]: + return self.statement.fetchall() + + def rowcount(self): + return self.statement.rowcount() + + def columns(self) -> List[Column]: + columns = [ + Column( + ColumnNameBuilder.create(column_name), + ColumnType( + name=column_type["type"], + precision=column_type[PRECISION] if PRECISION in column_type else None, + scale=column_type[SCALE] if SCALE in column_type else None, + size=column_type[SIZE] if SIZE in column_type else None, + characterSet=column_type[CHARACTER_SET] if CHARACTER_SET in column_type else None, + withLocalTimeZone=column_type[ + WITH_LOCAL_TIME_ZONE] if WITH_LOCAL_TIME_ZONE in column_type else None, + fraction=column_type[FRACTION] if FRACTION in column_type else None, + srid=column_type[SRID] if SRID in column_type else None, + ) + ) + for column_name, column_type in self.statement.columns().items()] + return columns + + def close(self): + return self.statement.close() + + +class PyexasolSQLExecutor(SQLExecutor): + + def __init__(self, connection: pyexasol.ExaConnection): + self._connection = connection + + def execute(self, sql: str) -> ResultSet: + return PyExasolResultSet(self._connection.execute(sql)) diff --git a/exasol_data_science_utils_python/udf_utils/sql_executor.py b/exasol_data_science_utils_python/udf_utils/sql_executor.py new file mode 100644 index 00000000..a4c33b5b --- /dev/null +++ b/exasol_data_science_utils_python/udf_utils/sql_executor.py @@ -0,0 +1,44 @@ +from abc import ABC, abstractmethod +from typing import List, Tuple + +from exasol_data_science_utils_python.schema.column import Column + + +class ResultSet(ABC): + @abstractmethod + def __iter__(self): + pass + + @abstractmethod + def __next__(self) -> Tuple: + pass + + @abstractmethod + def fetchone(self) -> Tuple: + pass + + @abstractmethod + def fetchmany(self, size=None) -> List[Tuple]: + pass + + @abstractmethod + def fetchall(self) -> List[Tuple]: + pass + + @abstractmethod + def rowcount(self): + pass + + @abstractmethod + def columns(self) -> List[Column]: + pass + + @abstractmethod + def close(self): + pass + + +class SQLExecutor(ABC): + @abstractmethod + def execute(self, sql: str) -> ResultSet: + pass diff --git a/exasol_data_science_utils_python/udf_utils/testing/__init__.py b/exasol_data_science_utils_python/udf_utils/testing/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/exasol_data_science_utils_python/udf_utils/testing/mock_result_set.py b/exasol_data_science_utils_python/udf_utils/testing/mock_result_set.py new file mode 100644 index 00000000..ae1546e2 --- /dev/null +++ b/exasol_data_science_utils_python/udf_utils/testing/mock_result_set.py @@ -0,0 +1,68 @@ +import itertools +from typing import Tuple, List, Optional + +from exasol_data_science_utils_python.schema.column import Column +from exasol_data_science_utils_python.udf_utils.sql_executor import ResultSet + + +class MockResultSet(ResultSet): + + def __init__(self, + rows: Optional[List[Tuple]] = None, + columns: Optional[List[Column]] = None + ): + self._columns = columns + self._rows = rows + if rows is not None: + if self._columns is not None: + for row in rows: + if len(row) != len(self._columns): + raise AssertionError(f"Row {row} doesn't fit columns {self._columns}") + self._iter = self._rows.__iter__() + + def __iter__(self): + if self._rows is None: + raise NotImplementedError() + else: + return self + + def __next__(self) -> Tuple: + if self._rows is None: + raise NotImplementedError() + else: + return next(self._iter) + + def fetchone(self) -> Tuple: + if self._rows is None: + raise NotImplementedError() + else: + row = next(self) + return row + + def fetchmany(self, size=1000) -> List[Tuple]: + if self._rows is None: + raise NotImplementedError() + else: + return [row for row in itertools.islice(self, size)] + + def fetchall(self) -> List[Tuple]: + if self._rows is None: + raise NotImplementedError() + else: + return [row for row in self] + + def rowcount(self): + if self._rows is None: + raise NotImplementedError() + else: + return len(self._rows) + + def columns(self) -> List[Column]: + if self._columns is None: + raise NotImplementedError() + else: + return self._columns + + def close(self): + if self._rows is None: + raise NotImplementedError() diff --git a/exasol_data_science_utils_python/udf_utils/testing/mock_sql_executor.py b/exasol_data_science_utils_python/udf_utils/testing/mock_sql_executor.py new file mode 100644 index 00000000..635ec507 --- /dev/null +++ b/exasol_data_science_utils_python/udf_utils/testing/mock_sql_executor.py @@ -0,0 +1,19 @@ +from typing import Optional, List + +from exasol_data_science_utils_python.udf_utils.sql_executor import SQLExecutor, ResultSet +from exasol_data_science_utils_python.udf_utils.testing.mock_result_set import MockResultSet + + +class MockSQLExecutor(SQLExecutor): + def __init__(self, result_sets: Optional[List[MockResultSet]] = None): + self.result_sets = result_sets + self.queries = [] + + def execute(self, sql: str) -> ResultSet: + self.queries.append(sql) + if self.result_sets is None: + return MockResultSet() + else: + if len(self.queries) > len(self.result_sets): + raise RuntimeError(f"No result set found for query {sql}") + return self.result_sets[len(self.queries) - 1] diff --git a/exasol_data_science_utils_python/udf_utils/udf_context_wrapper.py b/exasol_data_science_utils_python/udf_utils/udf_context_wrapper.py new file mode 100644 index 00000000..ce0f9a65 --- /dev/null +++ b/exasol_data_science_utils_python/udf_utils/udf_context_wrapper.py @@ -0,0 +1,42 @@ +from collections import OrderedDict +from typing import Union, Optional, Mapping + +import pandas as pd + + +class UDFContextWrapper(): + def __init__(self, ctx, column_mapping: Mapping[str, str], start_col: int = 0): + self.start_col = start_col + if not isinstance(column_mapping, OrderedDict): + raise ValueError(f"column_mapping needs to be a OrderedDict, got {type(column_mapping)}") + self.column_mapping = column_mapping + self.original_columns = list(self.column_mapping.keys()) + self.new_columns = list(self.column_mapping.values()) + self.ctx = ctx + + def _get_mapped_column(self, original_name: str) -> str: + if original_name in self.column_mapping: + return self.column_mapping[original_name] + raise ValueError(f"Column {original_name} does not exists in mapping {self.column_mapping}") + + def __getattr__(self, name): + return self.ctx[self._get_mapped_column(name)] + + def get_dataframe(self, num_rows: Union[str, int], start_col: int = 0) -> Optional[pd.DataFrame]: + df = self.ctx.get_dataframe(num_rows, start_col=self.start_col) + filtered_df = df[self.original_columns] + filtered_df.columns = [self._get_mapped_column(column) for column in filtered_df.columns] + filtered_df_from_start_col = filtered_df.iloc[:, start_col:] + return filtered_df_from_start_col + + def next(self, reset: bool = False) -> bool: + return self.ctx.next(reset) + + def size(self) -> int: + return self.ctx.size() + + def reset(self): + self.ctx.reset() + + def emit(self, *args): + self.ctx.emits(*args) diff --git a/exasol_data_science_utils_python/utils/__init__.py b/exasol_data_science_utils_python/utils/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/exasol_data_science_utils_python/utils/data_classes_runtime_type_check.py b/exasol_data_science_utils_python/utils/data_classes_runtime_type_check.py new file mode 100644 index 00000000..c7c20479 --- /dev/null +++ b/exasol_data_science_utils_python/utils/data_classes_runtime_type_check.py @@ -0,0 +1,10 @@ +from dataclasses import fields + +import typeguard + + +def check_dataclass_types(datacls): + for field in fields(datacls): + typeguard.check_type(value=datacls.__dict__[field.name], + expected_type=field.type, + argname=field.name) diff --git a/exasol_data_science_utils_python/utils/hash_generation_for_object.py b/exasol_data_science_utils_python/utils/hash_generation_for_object.py new file mode 100644 index 00000000..266b093f --- /dev/null +++ b/exasol_data_science_utils_python/utils/hash_generation_for_object.py @@ -0,0 +1,36 @@ +from typing import Hashable, Dict, Any, Iterable, Set + + +def generate_hash_for_object(obj: Any) -> int: + return hash(tuple(_hash_object(v, set()) + for k, v in sorted(obj.__dict__.items()))) + + +def _hash_object(obj: Any, already_seen: Set[int]) -> int: + """ + This function generates a hash value for the object using either the objects __hash__ method, + or by inspecting it, if it is a list or dict. For non-hashable objects it returns 0. + It uses the already_seen set to detect potential cycles. However, as a side effect + it only counts an object once, also if it finds it a second time in another branch. + This should be not a problem, here, because for computing the hash of an object + we only need the set of child objects. + """ + object_id = id(obj) + if object_id in already_seen: + return 0 + else: + already_seen.add(object_id) + if isinstance(obj, Hashable): + return hash(obj) + elif isinstance(obj, Dict): + return \ + hash( + ( + _hash_object(obj.keys(), already_seen), + _hash_object(obj.values(), already_seen) + ) + ) + elif isinstance(obj, Iterable): + return hash(tuple(_hash_object(item, already_seen) for item in obj)) + else: + return 0 diff --git a/exasol_data_science_utils_python/utils/repr_generation_for_object.py b/exasol_data_science_utils_python/utils/repr_generation_for_object.py new file mode 100644 index 00000000..e3f35eff --- /dev/null +++ b/exasol_data_science_utils_python/utils/repr_generation_for_object.py @@ -0,0 +1,3 @@ +def generate_repr_for_object(obj): + parameters = ",".join(f"{k}: {v}" for k, v in obj.__dict__.items()) + return f"{obj.__class__.__name__}({parameters})" \ No newline at end of file diff --git a/language_container/exasol_advanced_analytics_framework_container/flavor_base/release/Dockerfile b/language_container/exasol_advanced_analytics_framework_container/flavor_base/release/Dockerfile index 9b191071..859e24b0 100644 --- a/language_container/exasol_advanced_analytics_framework_container/flavor_base/release/Dockerfile +++ b/language_container/exasol_advanced_analytics_framework_container/flavor_base/release/Dockerfile @@ -1,12 +1,12 @@ -FROM exasol/script-language-container:python-3.8-minimal-EXASOL-6.2.0-build_run_DPUTJLTDYQ7Q3JW4EDOJAWGSIXZVBTQQ4BZWHVCIPT7P5E7A3B2A +FROM exasol/script-language-container:template-Exasol-all-python-3.10-release_BFRSH344TDRPT7LK2FBOJK4KBIDW6A253FFPYEUYT4O2ERFMTCNA RUN apt-get update && \ apt-get upgrade -y && \ apt-get install -y git COPY release/dist /project -RUN python3.8 -m pip install --use-deprecated=legacy-resolver /project/*.whl +RUN python3.10 -m pip install --use-deprecated=legacy-resolver /project/*.whl RUN mkdir -p /build_info/actual_installed_packages/release && \ /scripts/list_installed_scripts/list_installed_apt.sh > /build_info/actual_installed_packages/release/apt_get_packages && \ - /scripts/list_installed_scripts/list_installed_pip.sh python3.8 > /build_info/actual_installed_packages/release/python3_pip_packages + /scripts/list_installed_scripts/list_installed_pip.sh python3.10 > /build_info/actual_installed_packages/release/python3_pip_packages diff --git a/language_container/exasol_advanced_analytics_framework_container/flavor_base/test/Dockerfile b/language_container/exasol_advanced_analytics_framework_container/flavor_base/test/Dockerfile index ba254965..74b7d65d 100644 --- a/language_container/exasol_advanced_analytics_framework_container/flavor_base/test/Dockerfile +++ b/language_container/exasol_advanced_analytics_framework_container/flavor_base/test/Dockerfile @@ -1,8 +1,8 @@ FROM {{release}} COPY test/dist /project -RUN python3.8 -m pip install --use-deprecated=legacy-resolver /project/*.whl +RUN python3.10 -m pip install --use-deprecated=legacy-resolver /project/*.whl RUN mkdir -p /build_info/actual_installed_packages/test && \ /scripts/list_installed_scripts/list_installed_apt.sh > /build_info/actual_installed_packages/test/apt_get_packages && \ - /scripts/list_installed_scripts/list_installed_pip.sh python3.8 > /build_info/actual_installed_packages/test/python3_pip_packages + /scripts/list_installed_scripts/list_installed_pip.sh python3.10 > /build_info/actual_installed_packages/test/python3_pip_packages diff --git a/poetry.lock b/poetry.lock index 0a9ec99e..23f7cd6a 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,15 +1,14 @@ -# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. [[package]] name = "argcomplete" -version = "3.1.1" +version = "3.4.0" description = "Bash tab completion for argparse" -category = "main" optional = false -python-versions = ">=3.6" +python-versions = ">=3.8" files = [ - {file = "argcomplete-3.1.1-py3-none-any.whl", hash = "sha256:35fa893a88deea85ea7b20d241100e64516d6af6d7b0ae2bed1d263d26f70948"}, - {file = "argcomplete-3.1.1.tar.gz", hash = "sha256:6c4c563f14f01440aaffa3eae13441c5db2357b5eec639abe7c0b15334627dff"}, + {file = "argcomplete-3.4.0-py3-none-any.whl", hash = "sha256:69a79e083a716173e5532e0fa3bef45f793f4e61096cf52b5a42c0211c8b8aa5"}, + {file = "argcomplete-3.4.0.tar.gz", hash = "sha256:c2abcdfe1be8ace47ba777d4fce319eb13bf8ad9dace8d085dcad6eded88057f"}, ] [package.extras] @@ -17,33 +16,38 @@ test = ["coverage", "mypy", "pexpect", "ruff", "wheel"] [[package]] name = "bcrypt" -version = "4.0.1" +version = "4.1.3" description = "Modern password hashing for your software and your servers" -category = "dev" optional = false 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d6e8d06c..fcf884d9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,6 +3,11 @@ name = "exasol-advanced-analytics-framework" version = "0.1.0" description = "Framework for building complex data analysis algorithms with Exasol" +packages = [ + {include = "exasol_advanced_analytics_framework"}, + {include = "exasol_data_science_utils_python"}, +] + authors = [ "Umit Buyuksahin ", "Torsten Kilias " @@ -13,32 +18,29 @@ readme = 'README.md' repository = "https://github.com/exasol/advanced-analytics-framework" homepage = "https://github.com/exasol/advanced-analytics-framework" - keywords = ['exasol'] [tool.poetry.dependencies] -python = ">=3.8,<4.0" +python = ">=3.8,<3.12" Jinja2 = "^3.0.3" -importlib-resources = "^5.4.0" -exasol-bucketfs = "^0.6.0" -exasol-data-science-utils-python = {git = "https://github.com/exasol/data-science-utils-python.git", rev = "main"} +importlib-resources = "^6.4.0" +exasol-bucketfs = ">=0.6.0,<1.0.0" click = "^8.0.4" pyexasol = "^0.25.0" pandas = "^1.1.0" pydantic = "^1.10.2" -pyzmq = "^24.0.1" +pyzmq = "^26.0.3" sortedcontainers = "^2.4.0" -structlog = "^22.1.0" +structlog = "^24.2.0" typeguard = "<3.0.0" -nox = "^2023.4.22" +nox = "^2024.4.15" [tool.poetry.dev-dependencies] -pytest = "^7.1.2" -poethepoet = "^0.13.0" +pytest = ">=7.2.2" pytest-assume = "^2.4.3" -exasol-udf-mock-python = { git = "https://github.com/exasol/udf-mock-python.git", branch = "main" } -pytest-cov = "^3.0.0" -exasol-integration-test-docker-environment = "1.7.1" +exasol-udf-mock-python = ">=0.2.0,<1.0.0" +pytest-cov = "^5.0.0" +exasol-integration-test-docker-environment = "3.1.0" polyfactory = "^2.8.0" [tool.poetry.group.dev.dependencies] @@ -48,6 +50,3 @@ elasticsearch = "^8.6.1" [build-system] requires = ["poetry-core>=1.0.0"] build-backend = "poetry.core.masonry.api" - -[tool.poe.tasks] -lua-tests = {"shell" = "bash ./scripts/lua_tests.sh"} \ No newline at end of file diff --git a/scripts/start_integration_test_environment.sh b/scripts/start_integration_test_environment.sh index aeb7f044..0e8c8af1 100755 --- a/scripts/start_integration_test_environment.sh +++ b/scripts/start_integration_test_environment.sh @@ -2,4 +2,10 @@ set -euo pipefail -./scripts/run_in_dev_env.sh poetry run itde spawn-test-environment --environment-name test --database-port-forward 9563 --bucketfs-port-forward 6666 --db-mem-size 4GB --nameserver 8.8.8.8 +./scripts/run_in_dev_env.sh \ + poetry run itde spawn-test-environment \ + --environment-name test \ + --database-port-forward 8888 \ + --bucketfs-port-forward 6666 \ + --db-mem-size 4GB \ + --nameserver 8.8.8.8 diff --git a/tests/integration_tests/data_science_utils/test_pyexasol_sql_executor.py b/tests/integration_tests/data_science_utils/test_pyexasol_sql_executor.py new file mode 100644 index 00000000..0f319231 --- /dev/null +++ b/tests/integration_tests/data_science_utils/test_pyexasol_sql_executor.py @@ -0,0 +1,64 @@ +import pyexasol +import pytest + +from exasol_data_science_utils_python.schema.column import Column +from exasol_data_science_utils_python.schema.column import ColumnType +from exasol_data_science_utils_python.schema.column_name_builder import ColumnNameBuilder +from exasol_data_science_utils_python.udf_utils.pyexasol_sql_executor import PyexasolSQLExecutor + + +@pytest.fixture() +def pyexasol_sql_executor(): + con = pyexasol.connect(dsn="localhost:8888", user="sys", password="exasol") + yield PyexasolSQLExecutor(con) + con.close() + + +RESULT_SET_INDEX = 0 +EXPECTED_RESULT_INDEX = 1 +EXPECTED_COLUMNS_INDEX = 2 + + +@pytest.fixture() +def pyexasol_result_set(pyexasol_sql_executor): + row_count = 100000 + expected_result = [(1, "a", '1.1')] * row_count + expected_columns = [ + Column(ColumnNameBuilder.create("c1"), + ColumnType(name="DECIMAL", precision=1, scale=0)), + Column(ColumnNameBuilder.create("c2"), + ColumnType(name="CHAR", size=1, characterSet="ASCII")), + Column(ColumnNameBuilder.create("c3"), + ColumnType(name="DECIMAL", precision=2, scale=1)), + ] + result_set = pyexasol_sql_executor.execute( + f"""SELECT 1 as "c1", 'a' as "c2", 1.1 as "c3" FROM VALUES BETWEEN 1 and {row_count} as t(i);""") + return result_set, expected_result, expected_columns + + +def test_sql_executor(pyexasol_sql_executor): + result_set = pyexasol_sql_executor.execute("SELECT 1") + + +def test_for_loop(pyexasol_result_set): + input = pyexasol_result_set[EXPECTED_RESULT_INDEX] + result = [row for row in pyexasol_result_set[RESULT_SET_INDEX]] + assert input == result + + +def test_fetchall(pyexasol_result_set): + input = pyexasol_result_set[EXPECTED_RESULT_INDEX] + result = pyexasol_result_set[RESULT_SET_INDEX].fetchall() + assert input == result + + +def test_fetchmany(pyexasol_result_set): + input = pyexasol_result_set[EXPECTED_RESULT_INDEX] + result = pyexasol_result_set[RESULT_SET_INDEX].fetchmany(2) + assert input[0:2] == result + + +def test_columns(pyexasol_result_set): + expected_columns = pyexasol_result_set[EXPECTED_COLUMNS_INDEX] + actual_columns = pyexasol_result_set[RESULT_SET_INDEX].columns() + assert expected_columns == actual_columns diff --git a/tests/test_package/pyproject.toml b/tests/test_package/pyproject.toml index b32d4e01..d7dc8cb7 100644 --- a/tests/test_package/pyproject.toml +++ b/tests/test_package/pyproject.toml @@ -7,7 +7,7 @@ authors = ["Umit Buyuksahin "] include = ["../test_query_handlers/*"] [tool.poetry.dependencies] -python = "^3.8" +python = "^3.10" [tool.poetry.dev-dependencies] diff --git a/tests/unit_tests/data_science_utils/__init__.py b/tests/unit_tests/data_science_utils/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/unit_tests/data_science_utils/schema/__init__.py b/tests/unit_tests/data_science_utils/schema/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/unit_tests/data_science_utils/schema/test_column.py b/tests/unit_tests/data_science_utils/schema/test_column.py new file mode 100644 index 00000000..1d39d6e0 --- /dev/null +++ b/tests/unit_tests/data_science_utils/schema/test_column.py @@ -0,0 +1,56 @@ +import pytest + +from exasol_data_science_utils_python.schema.column import Column +from exasol_data_science_utils_python.schema.column import ColumnType +from exasol_data_science_utils_python.schema.column_name_builder import ColumnNameBuilder + + +def test_set_new_type_fail(): + column = Column(ColumnNameBuilder.create("abc"), ColumnType("INTEGER")) + with pytest.raises(AttributeError) as c: + column.type = "edf" + + +def test_set_new_name_fail(): + column = Column(ColumnNameBuilder.create("abc"), ColumnType("INTEGER")) + with pytest.raises(AttributeError) as c: + column.name = "edf" + + +def test_wrong_types_in_constructor(): + with pytest.raises(TypeError) as c: + column = Column("abc", "INTEGER") + +def test_equality(): + column1 = Column(ColumnNameBuilder.create("abc"), ColumnType("INTEGER")) + column2 = Column(ColumnNameBuilder.create("abc"), ColumnType("INTEGER")) + assert column1 == column2 + +def test_inequality_name(): + column1 = Column(ColumnNameBuilder.create("abc"), ColumnType("INTEGER")) + column2 = Column(ColumnNameBuilder.create("def"), ColumnType("INTEGER")) + assert column1 != column2 + +def test_inequality_type(): + column1 = Column(ColumnNameBuilder.create("abc"), ColumnType("INTEGER")) + column2 = Column(ColumnNameBuilder.create("def"), ColumnType("VARCHAR")) + assert column1 != column2 + + +def test_hash_equality(): + column1 = Column(ColumnNameBuilder.create("abc"), ColumnType("INTEGER")) + column2 = Column(ColumnNameBuilder.create("abc"), ColumnType("INTEGER")) + assert hash(column1) == hash(column2) + + +def test_hash_inequality_name(): + column1 = Column(ColumnNameBuilder.create("abc"), ColumnType("INTEGER")) + column2 = Column(ColumnNameBuilder.create("def"), ColumnType("INTEGER")) + assert hash(column1) != hash(column2) + + +def test_hash_inequality_type(): + column1 = Column(ColumnNameBuilder.create("abc"), ColumnType("INTEGER")) + column2 = Column(ColumnNameBuilder.create("abc"), ColumnType("VARCHAR")) + assert hash(column1) != hash(column2) + diff --git a/tests/unit_tests/data_science_utils/schema/test_column_builder.py b/tests/unit_tests/data_science_utils/schema/test_column_builder.py new file mode 100644 index 00000000..9bfef5ba --- /dev/null +++ b/tests/unit_tests/data_science_utils/schema/test_column_builder.py @@ -0,0 +1,20 @@ +import pytest + +from exasol_data_science_utils_python.schema.column import ColumnType +from exasol_data_science_utils_python.schema.column_builder import ColumnBuilder +from exasol_data_science_utils_python.schema.column_name_builder import ColumnNameBuilder + + +def test_create_column_with_name_only(): + with pytest.raises(TypeError): + column = ColumnBuilder().with_name(ColumnNameBuilder.create("column")).build() + + +def test_create_column_with_type_only(): + with pytest.raises(TypeError): + column = ColumnBuilder().with_type(type=ColumnType("INTEGER")).build() + + +def test_create_column_with_name_and_type(): + column = ColumnBuilder().with_name(ColumnNameBuilder.create("column")).with_type(type=ColumnType("INTEGER")).build() + assert column.name.name == "column" and column.type.name == "INTEGER" diff --git a/tests/unit_tests/data_science_utils/schema/test_column_name.py b/tests/unit_tests/data_science_utils/schema/test_column_name.py new file mode 100644 index 00000000..ac159781 --- /dev/null +++ b/tests/unit_tests/data_science_utils/schema/test_column_name.py @@ -0,0 +1,62 @@ +import pytest + +from exasol_data_science_utils_python.schema.column import ColumnName +from exasol_data_science_utils_python.schema.schema_name import SchemaName +from exasol_data_science_utils_python.schema.table_name_builder import TableNameBuilder + + +def test_fully_qualified(): + column = ColumnName("column") + assert column.fully_qualified == '"column"' + + +def test_fully_qualified_with_table(): + column = ColumnName("column", TableNameBuilder.create("table")) + assert column.fully_qualified == '"table"."column"' + + +def test_fully_qualified_with_table_and_schema(): + column = ColumnName("column", TableNameBuilder.create("table", schema=SchemaName("schema"))) + assert column.fully_qualified == '"schema"."table"."column"' + + +def test_set_new_table_fail(): + column = ColumnName("abc") + with pytest.raises(AttributeError) as c: + column.table_like_name = "edf" + + +def test_equality(): + column1 = ColumnName("column", TableNameBuilder.create("table")) + column2 = ColumnName("column", TableNameBuilder.create("table")) + assert column1 == column2 + + +def test_inequality_name(): + column1 = ColumnName("column1", TableNameBuilder.create("table")) + column2 = ColumnName("column2", TableNameBuilder.create("table")) + assert column1 != column2 + + +def test_inequality_table(): + column1 = ColumnName("column", TableNameBuilder.create("table1")) + column2 = ColumnName("column", TableNameBuilder.create("table2")) + assert column1 != column2 + + +def test_hash_equality(): + column1 = ColumnName("column", TableNameBuilder.create("table")) + column2 = ColumnName("column", TableNameBuilder.create("table")) + assert hash(column1) == hash(column2) + + +def test_hash_inequality_name(): + column1 = ColumnName("column1", TableNameBuilder.create("table")) + column2 = ColumnName("column2", TableNameBuilder.create("table")) + assert hash(column1) != hash(column2) + + +def test_hash_inequality_table_name(): + column1 = ColumnName("column", TableNameBuilder.create("table1")) + column2 = ColumnName("column", TableNameBuilder.create("table2")) + assert hash(column1) != hash(column2) diff --git a/tests/unit_tests/data_science_utils/schema/test_column_name_builder.py b/tests/unit_tests/data_science_utils/schema/test_column_name_builder.py new file mode 100644 index 00000000..75d139fc --- /dev/null +++ b/tests/unit_tests/data_science_utils/schema/test_column_name_builder.py @@ -0,0 +1,68 @@ +import pytest + +from exasol_data_science_utils_python.schema.column_name import ColumnName +from exasol_data_science_utils_python.schema.column_name_builder import ColumnNameBuilder +from exasol_data_science_utils_python.schema.table_name_impl import TableNameImpl + + +def test_using_empty_constructor(): + with pytest.raises(TypeError): + column_name = ColumnNameBuilder().build() + + +def test_using_constructor_name_only(): + column_name = ColumnNameBuilder(name="table").build() + assert column_name.name == "table" and column_name.table_like_name is None + + +def test_using_constructor_table(): + column_name = ColumnNameBuilder(name="column", table_like_name=TableNameImpl("table")).build() + assert column_name.name == "column" and column_name.table_like_name.name is "table" + + +def test_using_with_name_only(): + column_name = ColumnNameBuilder().with_name("column").build() + assert column_name.name == "column" and column_name.table_like_name is None + + +def test_using_with_table(): + column_name = ColumnNameBuilder().with_name("table").with_table_like_name(TableNameImpl("table")).build() + assert column_name.name == "table" and column_name.table_like_name.name == "table" + + +def test_from_existing_using_with_table(): + source_column_name = ColumnName("column") + column_name = ColumnNameBuilder(column_name=source_column_name).with_table_like_name(TableNameImpl("table")).build() + assert source_column_name.name == "column" \ + and source_column_name.table_like_name is None \ + and column_name.name == "column" \ + and column_name.table_like_name.name == "table" + + +def test_from_existing_using_with_name(): + source_column_name = ColumnName("column", TableNameImpl("table")) + column_name = ColumnNameBuilder(column_name=source_column_name).with_name("column1").build() + assert source_column_name.name == "column" \ + and source_column_name.table_like_name.name == "table" \ + and column_name.table_like_name.name == "table" \ + and column_name.name == "column1" + + +def test_from_existing_and_new_table_in_constructor(): + source_column_name = ColumnName("column") + column_name = ColumnNameBuilder(table_like_name=TableNameImpl("table"), + column_name=source_column_name).build() + assert source_column_name.name == "column" \ + and source_column_name.table_like_name is None \ + and column_name.name == "column" \ + and column_name.table_like_name.name == "table" + + +def test_from_existing_and_new_name_in_constructor(): + source_column_name = ColumnName("column", TableNameImpl("table")) + column_name = ColumnNameBuilder(name="column1", + column_name=source_column_name).build() + assert source_column_name.name == "column" \ + and source_column_name.table_like_name.name == "table" \ + and column_name.table_like_name.name == "table" \ + and column_name.name == "column1" diff --git a/tests/unit_tests/data_science_utils/schema/test_column_type.py b/tests/unit_tests/data_science_utils/schema/test_column_type.py new file mode 100644 index 00000000..3ab79a5c --- /dev/null +++ b/tests/unit_tests/data_science_utils/schema/test_column_type.py @@ -0,0 +1,209 @@ +import pytest + +from exasol_data_science_utils_python.schema.column import ColumnName +from exasol_data_science_utils_python.schema.column_type import ColumnType +from exasol_data_science_utils_python.schema.schema_name import SchemaName +from exasol_data_science_utils_python.schema.table_name_builder import TableNameBuilder +from exasol_data_science_utils_python.schema.table_name_impl import TableNameImpl + + +def test_correct_types(): + ColumnType(name="COLUMN", + precision=0, + scale=0, + size=0, + characterSet="UTF-8", + withLocalTimeZone=True, + fraction=0, + srid=0) + + +def test_optionals(): + ColumnType(name="COLUMN") + + +def test_name_missing(): + with pytest.raises(TypeError): + ColumnType() + + +def test_name_wrong_type(): + with pytest.raises(TypeError): + ColumnType(name=1) + + +def test_precision_wrong_type(): + with pytest.raises(TypeError): + ColumnType(name="Test", precision="") + + +def test_scale_wrong_type(): + with pytest.raises(TypeError): + ColumnType(name="Test", scale="") + + +def test_size_wrong_type(): + with pytest.raises(TypeError): + ColumnType(name="Test", size="") + + +def test_characterSet_wrong_type(): + with pytest.raises(TypeError): + ColumnType(name="Test", characterSet=1) + + +def test_withLocalTimeZone_wrong_type(): + with pytest.raises(TypeError): + ColumnType(name="Test", withLocalTimeZone=1) + + +def test_fraction_wrong_type(): + with pytest.raises(TypeError): + ColumnType(name="Test", fraction="") + + +def test_srid_wrong_type(): + with pytest.raises(TypeError): + ColumnType(name="Test", fraction="") + + +def test_equality(): + column1 = ColumnType(name="COLUMN", + precision=0, + scale=0, + size=0, + characterSet="UTF-8", + withLocalTimeZone=True, + fraction=0, + srid=0) + column2 = ColumnType(name="COLUMN", + precision=0, + scale=0, + size=0, + characterSet="UTF-8", + withLocalTimeZone=True, + fraction=0, + srid=0) + assert column1 == column2 + + +def test_inequality_name(): + column1 = ColumnType(name="COLUMN1") + column2 = ColumnType(name="COLUMN2") + assert column1 != column2 + + +def test_inequality_precision(): + column1 = ColumnType(name="COLUMN", precision=0) + column2 = ColumnType(name="COLUMN", precision=1) + assert column1 != column2 + + +def test_inequality_scale(): + column1 = ColumnType(name="COLUMN", scale=0) + column2 = ColumnType(name="COLUMN", scale=1) + assert column1 != column2 + + +def test_inequality_size(): + column1 = ColumnType(name="COLUMN", size=0) + column2 = ColumnType(name="COLUMN", size=1) + assert column1 != column2 + + +def test_inequality_characterSet(): + column1 = ColumnType(name="COLUMN", characterSet="UTF-8") + column2 = ColumnType(name="COLUMN", characterSet="ASCII", ) + assert column1 != column2 + + +def test_inequality_withLocalTimeZone(): + column1 = ColumnType(name="COLUMN", withLocalTimeZone=True) + column2 = ColumnType(name="COLUMN", withLocalTimeZone=False) + assert column1 != column2 + + +def test_inequality_fraction(): + column1 = ColumnType(name="COLUMN", fraction=0) + column2 = ColumnType(name="COLUMN", fraction=1) + assert column1 != column2 + + +def test_inequality_srid(): + column1 = ColumnType(name="COLUMN", srid=0) + column2 = ColumnType(name="COLUMN", srid=1) + assert column1 != column2 + + +def test_hash_equality(): + column1 = ColumnType(name="COLUMN", + precision=0, + scale=0, + size=0, + characterSet="UTF-8", + withLocalTimeZone=True, + fraction=0, + srid=0) + column2 = ColumnType(name="COLUMN", + precision=0, + scale=0, + size=0, + characterSet="UTF-8", + withLocalTimeZone=True, + fraction=0, + srid=0) + assert hash(column1) == hash(column2) + + +def test_hash_inequality_name(): + column1 = ColumnType(name="COLUMN1") + column2 = ColumnType(name="COLUMN2") + assert hash(column1) != hash(column2) + + +def test_hash_inequality_precision(): + column1 = ColumnType(name="COLUMN", precision=0) + column2 = ColumnType(name="COLUMN", precision=1) + assert hash(column1) != hash(column2) + + +def test_hash_inequality_scale(): + column1 = ColumnType(name="COLUMN", scale=0) + column2 = ColumnType(name="COLUMN", scale=1) + assert hash(column1) != hash(column2) + + +def test_hash_inequality_size(): + column1 = ColumnType(name="COLUMN", size=0) + column2 = ColumnType(name="COLUMN", size=1) + assert hash(column1) != hash(column2) + + +def test_hash_inequality_characterSet(): + column1 = ColumnType(name="COLUMN", characterSet="UTF-8") + column2 = ColumnType(name="COLUMN", characterSet="ASCII", ) + assert hash(column1) != hash(column2) + + +def test_hash_inequality_withLocalTimeZone(): + column1 = ColumnType(name="COLUMN", withLocalTimeZone=True) + column2 = ColumnType(name="COLUMN", withLocalTimeZone=False) + assert hash(column1) != hash(column2) + + +def test_hash_inequality_fraction(): + column1 = ColumnType(name="COLUMN", fraction=0) + column2 = ColumnType(name="COLUMN", fraction=1) + assert hash(column1) != hash(column2) + + +def test_hash_inequality_srid(): + column1 = ColumnType(name="COLUMN", srid=0) + column2 = ColumnType(name="COLUMN", srid=1) + assert hash(column1) != hash(column2) + + +def test_hash_inequality_table(): + column1 = ColumnName("column", TableNameBuilder.create("table1")) + column2 = ColumnName("column", TableNameBuilder.create("table2")) + assert hash(column1) != hash(column2) diff --git a/tests/unit_tests/data_science_utils/schema/test_connection_object_name.py b/tests/unit_tests/data_science_utils/schema/test_connection_object_name.py new file mode 100644 index 00000000..486bf12c --- /dev/null +++ b/tests/unit_tests/data_science_utils/schema/test_connection_object_name.py @@ -0,0 +1,61 @@ +from exasol_data_science_utils_python.schema.connection_object_name_impl import ConnectionObjectNameImpl + +CONNECTION_UPPER = "CONNECTION" + +CONNECTION = "connection" + + +def test_constructor(): + connection_object_name = ConnectionObjectNameImpl(name=CONNECTION) + assert connection_object_name.name == CONNECTION + + +def test_quoted_name(): + connection_object_name = ConnectionObjectNameImpl(name=CONNECTION) + assert connection_object_name.quoted_name == f'"{CONNECTION}"' + + +def test_fully_qualified(): + connection_object_name = ConnectionObjectNameImpl(name=CONNECTION) + assert connection_object_name.fully_qualified == f'"{CONNECTION}"' + + +def test_normalized_name_for_udfs(): + connection_object_name = ConnectionObjectNameImpl(name=CONNECTION) + assert connection_object_name.normalized_name_for_udfs == CONNECTION_UPPER + + +def test_equality(): + connection_object_name1 = ConnectionObjectNameImpl(name=CONNECTION) + connection_object_name2 = ConnectionObjectNameImpl(name=CONNECTION) + assert connection_object_name2 == connection_object_name1 + + +def test_equality_case_insensitive(): + connection_object_name1 = ConnectionObjectNameImpl(name=CONNECTION) + connection_object_name2 = ConnectionObjectNameImpl(name=CONNECTION_UPPER) + assert connection_object_name2 == connection_object_name1 + + +def test_inequality(): + connection_object_name1 = ConnectionObjectNameImpl(name="con1") + connection_object_name2 = ConnectionObjectNameImpl(name="con2") + assert connection_object_name2 != connection_object_name1 + + +def test_hash_equality(): + connection_object_name1 = ConnectionObjectNameImpl(name=CONNECTION) + connection_object_name2 = ConnectionObjectNameImpl(name=CONNECTION) + assert hash(connection_object_name2) == hash(connection_object_name1) + + +def test_hash_equality_case_insensitive(): + connection_object_name1 = ConnectionObjectNameImpl(name=CONNECTION) + connection_object_name2 = ConnectionObjectNameImpl(name=CONNECTION_UPPER) + assert hash(connection_object_name2) == hash(connection_object_name1) + + +def test_hash_inequality(): + connection_object_name1 = ConnectionObjectNameImpl(name="con1") + connection_object_name2 = ConnectionObjectNameImpl(name="con2") + assert hash(connection_object_name2) != hash(connection_object_name1) diff --git a/tests/unit_tests/data_science_utils/schema/test_connection_object_name_builder.py b/tests/unit_tests/data_science_utils/schema/test_connection_object_name_builder.py new file mode 100644 index 00000000..9af09c18 --- /dev/null +++ b/tests/unit_tests/data_science_utils/schema/test_connection_object_name_builder.py @@ -0,0 +1,21 @@ +import pytest + +from exasol_data_science_utils_python.schema.column_name import ColumnName +from exasol_data_science_utils_python.schema.column_name_builder import ColumnNameBuilder +from exasol_data_science_utils_python.schema.connection_object_name_builder import ConnectionObjectNameBuilder +from exasol_data_science_utils_python.schema.table_name_impl import TableNameImpl + + +def test_using_empty_constructor(): + with pytest.raises(TypeError): + column_name = ConnectionObjectNameBuilder() + + +def test_using_constructor_name(): + connection_object_name = ConnectionObjectNameBuilder(name="connection").build() + assert connection_object_name.name == "connection" + + +def test_using_create_name(): + connection_object_name = ConnectionObjectNameBuilder.create(name="connection") + assert connection_object_name.name == "connection" diff --git a/tests/unit_tests/data_science_utils/schema/test_identifier.py b/tests/unit_tests/data_science_utils/schema/test_identifier.py new file mode 100644 index 00000000..956dd0b7 --- /dev/null +++ b/tests/unit_tests/data_science_utils/schema/test_identifier.py @@ -0,0 +1,77 @@ +import pytest + +from exasol_data_science_utils_python.schema.exasol_identifier import ExasolIdentifier +from exasol_data_science_utils_python.schema.exasol_identifier_impl import ExasolIdentifierImpl + + +class TestSchemaElement(ExasolIdentifierImpl): + + def __init__(self, name: str): + super().__init__(name) + + @property + def fully_qualified(self) -> str: + raise NotImplemented() + + def __eq__(self, other): + raise NotImplemented() + + def __repr__(self): + raise NotImplemented() + + +@pytest.mark.parametrize("test_name", + [ + "A", + "a", + "B_", + "Z1", + "Q\uFE33", + "Ü", + "1" + ]) +def test_name_valid(test_name): + TestSchemaElement(test_name) + + +@pytest.mark.parametrize("test_name", + [ + ".", + "A.s" + "_", + ",", + ";", + ":", + "\uFE33", + '"', + 'A"', + "A'", + "A,", + "A;", + "A:" + ]) +def test_name_invalid(test_name): + with pytest.raises(ValueError): + TestSchemaElement(test_name) + + +@pytest.mark.parametrize("name,expected_quoted_name", + [ + ('ABC', '"ABC"'), + # ('A"BC', '"A""BC"'), names with double quotes at the moment not valid + ('abc', '"abc"') + ]) +def test_quote(name, expected_quoted_name): + quoted_name = TestSchemaElement(name).quoted_name + assert quoted_name == expected_quoted_name + + +def test_get_name(): + element = TestSchemaElement("abc") + assert element.name == "abc" + + +def test_set_new_name_fail(): + element = TestSchemaElement("abc") + with pytest.raises(AttributeError) as c: + element.name = "edf" diff --git a/tests/unit_tests/data_science_utils/schema/test_schema_name.py b/tests/unit_tests/data_science_utils/schema/test_schema_name.py new file mode 100644 index 00000000..f5eb4eb7 --- /dev/null +++ b/tests/unit_tests/data_science_utils/schema/test_schema_name.py @@ -0,0 +1,30 @@ +from exasol_data_science_utils_python.schema.schema_name import SchemaName + + +def test_fully_qualified(): + schema = SchemaName("schema") + assert schema.fully_qualified == '"schema"' + + +def test_equality(): + schema1 = SchemaName("schema") + schema2 = SchemaName("schema") + assert schema1 == schema2 + + +def test_inequality(): + schema1 = SchemaName("schema1") + schema2 = SchemaName("schema2") + assert schema1 != schema2 + + +def test_hash_equality(): + schema1 = SchemaName("schema") + schema2 = SchemaName("schema") + assert hash(schema1) == hash(schema2) + + +def test_hash_inequality(): + schema1 = SchemaName("schema1") + schema2 = SchemaName("schema2") + assert hash(schema1) != hash(schema2) diff --git a/tests/unit_tests/data_science_utils/schema/test_table.py b/tests/unit_tests/data_science_utils/schema/test_table.py new file mode 100644 index 00000000..8a9654d4 --- /dev/null +++ b/tests/unit_tests/data_science_utils/schema/test_table.py @@ -0,0 +1,95 @@ +import pytest + +from exasol_data_science_utils_python.schema.column import Column +from exasol_data_science_utils_python.schema.column import ColumnType +from exasol_data_science_utils_python.schema.column_name_builder import ColumnNameBuilder +from exasol_data_science_utils_python.schema.table import Table +from exasol_data_science_utils_python.schema.table_name_impl import TableNameImpl + + +def test_valid(): + table = Table(TableNameImpl("table"), [ + Column(ColumnNameBuilder.create("column1"), ColumnType("INTEGER")), + Column(ColumnNameBuilder.create("column2"), ColumnType("VACHAR")), + ]) + + +def test_no_columns_fail(): + with pytest.raises(ValueError, match="At least one column needed.") as c: + table = Table(TableNameImpl("table"), []) + + +def test_duplicate_column_names_fail(): + with pytest.raises(ValueError, match="Column names are not unique.") as c: + table = Table(TableNameImpl("table"), [ + Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER")), + Column(ColumnNameBuilder.create("column"), ColumnType("VACHAR")), + ]) + + +def test_set_new_name_fail(): + table = Table(TableNameImpl("table"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + with pytest.raises(AttributeError) as c: + table.name = "edf" + + +def test_set_new_columns_fail(): + table = Table(TableNameImpl("table"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + with pytest.raises(AttributeError) as c: + table.columns = [Column(ColumnNameBuilder.create("column1"), ColumnType("INTEGER"))] + + +def test_wrong_types_in_constructor(): + with pytest.raises(TypeError) as c: + column = Table("abc", "INTEGER") + + +def test_columns_list_is_immutable(): + table = Table(TableNameImpl("table"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + columns = table.columns + columns.append(Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))) + assert len(columns) == 2 and len(table.columns) == 1 + + +def test_equality(): + table1 = Table(TableNameImpl("table"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + table2 = Table(TableNameImpl("table"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + assert table1 == table2 + + +def test_inequality_name(): + table1 = Table(TableNameImpl("table1"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + table2 = Table(TableNameImpl("table2"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + assert table1 != table2 + + +def test_inequality_columns(): + table1 = Table(TableNameImpl("table1"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + table2 = Table(TableNameImpl("table1"), + [ + Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER")), + Column(ColumnNameBuilder.create("column2"), ColumnType("INTEGER")) + ]) + assert table1 != table2 + + +def test_hash_equality(): + table1 = Table(TableNameImpl("table"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + table2 = Table(TableNameImpl("table"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + assert hash(table1) == hash(table2) + + +def test_hash_inequality_name(): + table1 = Table(TableNameImpl("table1"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + table2 = Table(TableNameImpl("table2"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + assert hash(table1) != hash(table2) + + +def test_hash_inequality_columns(): + table1 = Table(TableNameImpl("table1"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + table2 = Table(TableNameImpl("table1"), + [ + Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER")), + Column(ColumnNameBuilder.create("column2"), ColumnType("INTEGER")) + ]) + assert hash(table1) != hash(table2) diff --git a/tests/unit_tests/data_science_utils/schema/test_table_builder.py b/tests/unit_tests/data_science_utils/schema/test_table_builder.py new file mode 100644 index 00000000..08c6825a --- /dev/null +++ b/tests/unit_tests/data_science_utils/schema/test_table_builder.py @@ -0,0 +1,23 @@ +import pytest + +from exasol_data_science_utils_python.schema.column import Column +from exasol_data_science_utils_python.schema.column import ColumnType +from exasol_data_science_utils_python.schema.column_name_builder import ColumnNameBuilder +from exasol_data_science_utils_python.schema.table_builder import TableBuilder +from exasol_data_science_utils_python.schema.table_name_impl import TableNameImpl + + +def test_create_table_with_name_only_fail(): + with pytest.raises(TypeError): + column = TableBuilder().with_name(TableNameImpl("table")).build() + + +def test_create_table_with_columns_only_fail(): + with pytest.raises(TypeError): + column = TableBuilder().with_columns([Column(ColumnNameBuilder.create("abc"), ColumnType("INTEGER"))]).build() + + +def test_create_table_with_name_and_columns(): + table = TableBuilder().with_name(TableNameImpl("table")).with_columns( + [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]).build() + assert table.name.name == "table" and table.columns[0].name.name == "column" diff --git a/tests/unit_tests/data_science_utils/schema/test_table_name.py b/tests/unit_tests/data_science_utils/schema/test_table_name.py new file mode 100644 index 00000000..5ebde9d9 --- /dev/null +++ b/tests/unit_tests/data_science_utils/schema/test_table_name.py @@ -0,0 +1,38 @@ +import pytest + +from exasol_data_science_utils_python.schema.schema_name import SchemaName +from exasol_data_science_utils_python.schema.table_name_impl import TableNameImpl + + +def test_fully_qualified(): + table = TableNameImpl("table") + assert table.fully_qualified == '"table"' + + +def test_fully_qualified_with_schema(): + table = TableNameImpl("table", schema=SchemaName("schema")) + assert table.fully_qualified == '"schema"."table"' + + +def test_set_new_schema_fail(): + table = TableNameImpl("abc") + with pytest.raises(AttributeError) as c: + table.schema_name = "edf" + + +def test_equality_true(): + t1 = TableNameImpl("table", schema=SchemaName("schema")) + t2 = TableNameImpl("table", schema=SchemaName("schema")) + assert t1 == t2 + + +def test_equality_name_not_equal(): + t1 = TableNameImpl("table1", schema=SchemaName("schema")) + t2 = TableNameImpl("table2", schema=SchemaName("schema")) + assert t1 != t2 + + +def test_equality_schema_not_equal(): + t1 = TableNameImpl("table", schema=SchemaName("schema1")) + t2 = TableNameImpl("table", schema=SchemaName("schema2")) + assert t1 != t2 diff --git a/tests/unit_tests/data_science_utils/schema/test_table_name_builder.py b/tests/unit_tests/data_science_utils/schema/test_table_name_builder.py new file mode 100644 index 00000000..2a428194 --- /dev/null +++ b/tests/unit_tests/data_science_utils/schema/test_table_name_builder.py @@ -0,0 +1,94 @@ +import pytest + +from exasol_data_science_utils_python.schema.schema_name import SchemaName +from exasol_data_science_utils_python.schema.table_name import TableName +from exasol_data_science_utils_python.schema.table_name_builder import TableNameBuilder +from exasol_data_science_utils_python.schema.table_name_impl import TableNameImpl + + +def test_using_empty_constructor(): + with pytest.raises(TypeError): + table_name = TableNameBuilder().build() + + +def test_using_constructor_name_only(): + table_name = TableNameBuilder(name="table").build() + assert table_name.name == "table" \ + and table_name.schema_name is None \ + and isinstance(table_name, TableName) + + +def test_using_constructor_schema(): + table_name = TableNameBuilder(name="table", schema=SchemaName("schema")).build() + assert table_name.name == "table" \ + and table_name.schema_name.name is "schema" \ + and isinstance(table_name, TableName) + + +def test_using_with_name_only(): + table_name = TableNameBuilder().with_name("table").build() + assert table_name.name == "table" \ + and table_name.schema_name is None \ + and isinstance(table_name, TableName) + + +def test_using_with_schema(): + table_name = TableNameBuilder().with_name("table").with_schema_name(SchemaName("schema")).build() + assert table_name.name == "table" \ + and table_name.schema_name.name == "schema" \ + and isinstance(table_name, TableName) + + +def test_from_existing_using_with_schema(): + source_table_name = TableNameImpl("table") + table_name = TableNameBuilder(table_name=source_table_name).with_schema_name(SchemaName("schema")).build() + assert source_table_name.name == "table" \ + and source_table_name.schema_name is None \ + and table_name.name == "table" \ + and table_name.schema_name.name == "schema" \ + and isinstance(table_name, TableName) + + +def test_from_existing_using_with_name(): + source_table_name = TableNameImpl("table", SchemaName("schema")) + table_name = TableNameBuilder(table_name=source_table_name).with_name("table1").build() + assert source_table_name.name == "table" \ + and source_table_name.schema_name.name == "schema" \ + and table_name.schema_name.name == "schema" \ + and table_name.name == "table1" \ + and isinstance(table_name, TableName) + + +def test_from_existing_and_new_schema_in_constructor(): + source_table_name = TableNameImpl("table") + table_name = TableNameBuilder(schema=SchemaName("schema"), + table_name=source_table_name).build() + assert source_table_name.name == "table" \ + and source_table_name.schema_name is None \ + and table_name.name == "table" \ + and table_name.schema_name.name == "schema" \ + and isinstance(table_name, TableName) + + +def test_from_existing_and_new_name_in_constructor(): + source_table_name = TableNameImpl("table", SchemaName("schema")) + table_name = TableNameBuilder(name="table1", + table_name=source_table_name).build() + assert source_table_name.name == "table" \ + and source_table_name.schema_name.name == "schema" \ + and table_name.schema_name.name == "schema" \ + and table_name.name == "table1" \ + and isinstance(table_name, TableName) + + +def test_using_create_name_using_only_name(): + table_name = TableNameBuilder.create(name="table") + assert table_name.name == "table" \ + and isinstance(table_name, TableName) + + +def test_using_create_name_using_schema(): + table_name = TableNameBuilder.create(name="table", schema=SchemaName("schema")) + assert table_name.name == "table" \ + and table_name.schema_name.name == "schema" \ + and isinstance(table_name, TableName) diff --git a/tests/unit_tests/data_science_utils/schema/test_udf_name.py b/tests/unit_tests/data_science_utils/schema/test_udf_name.py new file mode 100644 index 00000000..638b5d15 --- /dev/null +++ b/tests/unit_tests/data_science_utils/schema/test_udf_name.py @@ -0,0 +1,56 @@ +import pytest + +from exasol_data_science_utils_python.schema.schema_name import SchemaName +from exasol_data_science_utils_python.schema.udf_name_impl import UDFNameImpl + + +def test_fully_qualified(): + udf = UDFNameImpl("udf") + assert udf.fully_qualified == '"udf"' + + +def test_fully_qualified_with_schema(): + udf = UDFNameImpl("udf", schema=SchemaName("schema")) + assert udf.fully_qualified == '"schema"."udf"' + + +def test_set_new_schema_fail(): + udf = UDFNameImpl("abc") + with pytest.raises(AttributeError) as c: + udf.schema_name = "edf" + + +def test_equality_true(): + t1 = UDFNameImpl("udf", schema=SchemaName("schema")) + t2 = UDFNameImpl("udf", schema=SchemaName("schema")) + assert t1 == t2 + + +def test_equality_name_not_equal(): + t1 = UDFNameImpl("udf1", schema=SchemaName("schema")) + t2 = UDFNameImpl("udf2", schema=SchemaName("schema")) + assert t1 != t2 + + +def test_equality_schema_not_equal(): + t1 = UDFNameImpl("udf", schema=SchemaName("schema1")) + t2 = UDFNameImpl("udf", schema=SchemaName("schema2")) + assert t1 != t2 + + +def test_hash_equality_true(): + t1 = UDFNameImpl("udf", schema=SchemaName("schema")) + t2 = UDFNameImpl("udf", schema=SchemaName("schema")) + assert hash(t1) == hash(t2) + + +def test_hash_equality_name_not_equal(): + t1 = UDFNameImpl("udf1", schema=SchemaName("schema")) + t2 = UDFNameImpl("udf2", schema=SchemaName("schema")) + assert hash(t1) != hash(t2) + + +def test_hash_equality_schema_not_equal(): + t1 = UDFNameImpl("udf", schema=SchemaName("schema1")) + t2 = UDFNameImpl("udf", schema=SchemaName("schema2")) + assert hash(t1) != hash(t2) diff --git a/tests/unit_tests/data_science_utils/schema/test_udf_name_builder.py b/tests/unit_tests/data_science_utils/schema/test_udf_name_builder.py new file mode 100644 index 00000000..3c9a6a00 --- /dev/null +++ b/tests/unit_tests/data_science_utils/schema/test_udf_name_builder.py @@ -0,0 +1,96 @@ +import pytest + +from exasol_data_science_utils_python.schema.schema_name import SchemaName +from exasol_data_science_utils_python.schema.udf_name import UDFName +from exasol_data_science_utils_python.schema.udf_name_builder import UDFNameBuilder +from exasol_data_science_utils_python.schema.udf_name_impl import UDFNameImpl + + +def test_using_empty_constructor(): + with pytest.raises(TypeError): + udf_name = UDFNameBuilder().build() + + +def test_using_constructor_name_only(): + udf_name = UDFNameBuilder(name="udf").build() + assert udf_name.name == "udf" \ + and udf_name.schema_name is None \ + and isinstance(udf_name, UDFName) + + +def test_using_constructor_schema(): + udf_name = UDFNameBuilder(name="udf", schema=SchemaName("schema")).build() + assert udf_name.name == "udf" \ + and udf_name.schema_name.name is "schema" \ + and isinstance(udf_name, UDFName) + + +def test_using_with_name_only(): + udf_name = UDFNameBuilder().with_name("udf").build() + assert udf_name.name == "udf" \ + and udf_name.schema_name is None \ + and isinstance(udf_name, UDFName) + + +def test_using_with_schema(): + udf_name = UDFNameBuilder().with_name("udf").with_schema_name(SchemaName("schema")).build() + assert udf_name.name == "udf" \ + and udf_name.schema_name.name == "schema" \ + and isinstance(udf_name, UDFName) + + +def test_from_existing_using_with_schema(): + source_udf_name = UDFNameImpl("udf") + udf_name = UDFNameBuilder(udf_name=source_udf_name).with_schema_name(SchemaName("schema")).build() + assert source_udf_name.name == "udf" \ + and source_udf_name.schema_name is None \ + and udf_name.name == "udf" \ + and udf_name.schema_name.name == "schema" \ + and isinstance(udf_name, UDFName) + + +def test_from_existing_using_with_name(): + source_udf_name = UDFNameImpl("udf", SchemaName("schema")) + udf_name = UDFNameBuilder(udf_name=source_udf_name).with_name("udf1").build() + assert source_udf_name.name == "udf" \ + and source_udf_name.schema_name.name == "schema" \ + and udf_name.schema_name.name == "schema" \ + and udf_name.name == "udf1" \ + and isinstance(udf_name, UDFName) + + +def test_from_existing_and_new_schema_in_constructor(): + source_udf_name = UDFNameImpl("udf") + udf_name = UDFNameBuilder(schema=SchemaName("schema"), + udf_name=source_udf_name).build() + assert source_udf_name.name == "udf" \ + and source_udf_name.schema_name is None \ + and udf_name.name == "udf" \ + and udf_name.schema_name.name == "schema" \ + and isinstance(udf_name, UDFName) + + +def test_from_existing_and_new_name_in_constructor(): + source_udf_name = UDFNameImpl("udf", SchemaName("schema")) + udf_name = UDFNameBuilder(name="udf1", + udf_name=source_udf_name).build() + assert source_udf_name.name == "udf" \ + and source_udf_name.schema_name.name == "schema" \ + and udf_name.schema_name.name == "schema" \ + and udf_name.name == "udf1" \ + and isinstance(udf_name, UDFName) + + +def test_using_create_name_using_only_name(): + udf_name = UDFNameBuilder.create(name="udf") + assert udf_name.name == "udf" \ + and isinstance(udf_name, UDFName) \ + and isinstance(udf_name, UDFName) + + +def test_using_create_name_using_schema(): + udf_name = UDFNameBuilder.create(name="udf", schema=SchemaName("schema")) + assert udf_name.name == "udf" \ + and udf_name.schema_name.name == "schema" \ + and isinstance(udf_name, UDFName) \ + and isinstance(udf_name, UDFName) diff --git a/tests/unit_tests/data_science_utils/schema/test_view.py b/tests/unit_tests/data_science_utils/schema/test_view.py new file mode 100644 index 00000000..59f6632f --- /dev/null +++ b/tests/unit_tests/data_science_utils/schema/test_view.py @@ -0,0 +1,95 @@ +import pytest + +from exasol_data_science_utils_python.schema.column import Column +from exasol_data_science_utils_python.schema.column import ColumnType +from exasol_data_science_utils_python.schema.column_name_builder import ColumnNameBuilder +from exasol_data_science_utils_python.schema.view import View +from exasol_data_science_utils_python.schema.view_name_impl import ViewNameImpl + + +def test_valid(): + table = View(ViewNameImpl("view_name"), [ + Column(ColumnNameBuilder.create("column1"), ColumnType("INTEGER")), + Column(ColumnNameBuilder.create("column2"), ColumnType("VACHAR")), + ]) + + +def test_no_columns_fail(): + with pytest.raises(ValueError, match="At least one column needed.") as c: + table = View(ViewNameImpl("table"), []) + + +def test_duplicate_column_names_fail(): + with pytest.raises(ValueError, match="Column names are not unique.") as c: + table = View(ViewNameImpl("view_name"), [ + Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER")), + Column(ColumnNameBuilder.create("column"), ColumnType("VACHAR")), + ]) + + +def test_set_new_name_fail(): + view = View(ViewNameImpl("view"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + with pytest.raises(AttributeError) as c: + view.name = "edf" + + +def test_set_new_columns_fail(): + view = View(ViewNameImpl("view"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + with pytest.raises(AttributeError) as c: + view.columns = [Column(ColumnNameBuilder.create("column1"), ColumnType("INTEGER"))] + + +def test_wrong_types_in_constructor(): + with pytest.raises(TypeError) as c: + column = View("abc", "INTEGER") + + +def test_columns_list_is_immutable(): + view = View(ViewNameImpl("view"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + columns = view.columns + columns.append(Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))) + assert len(columns) == 2 and len(view.columns) == 1 + + +def test_equality(): + view1 = View(ViewNameImpl("view"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + view2 = View(ViewNameImpl("view"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + assert view1 == view2 + + +def test_inequality_name(): + view1 = View(ViewNameImpl("view1"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + view2 = View(ViewNameImpl("view2"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + assert view1 != view2 + + +def test_inequality_columns(): + view1 = View(ViewNameImpl("view1"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + view2 = View(ViewNameImpl("view1"), + [ + Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER")), + Column(ColumnNameBuilder.create("column2"), ColumnType("INTEGER")) + ]) + assert view1 != view2 + + +def test_hash_equality(): + view1 = View(ViewNameImpl("view"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + view2 = View(ViewNameImpl("view"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + assert hash(view1) == hash(view2) + + +def test_hash_inequality_name(): + view1 = View(ViewNameImpl("view1"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + view2 = View(ViewNameImpl("view2"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + assert hash(view1) != hash(view2) + + +def test_hash_inequality_columns(): + view1 = View(ViewNameImpl("view1"), [Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER"))]) + view2 = View(ViewNameImpl("view1"), + [ + Column(ColumnNameBuilder.create("column"), ColumnType("INTEGER")), + Column(ColumnNameBuilder.create("column2"), ColumnType("INTEGER")) + ]) + assert hash(view1) != hash(view2) diff --git a/tests/unit_tests/data_science_utils/schema/test_view_name.py b/tests/unit_tests/data_science_utils/schema/test_view_name.py new file mode 100644 index 00000000..0f976202 --- /dev/null +++ b/tests/unit_tests/data_science_utils/schema/test_view_name.py @@ -0,0 +1,46 @@ +import pytest + +from exasol_data_science_utils_python.schema.schema_name import SchemaName +from exasol_data_science_utils_python.schema.table_name import TableName +from exasol_data_science_utils_python.schema.table_name_impl import TableNameImpl +from exasol_data_science_utils_python.schema.view_name_impl import ViewNameImpl + + +def test_fully_qualified(): + view = ViewNameImpl("view") + assert view.fully_qualified == '"view"' + + +def test_fully_qualified_with_schema(): + view = ViewNameImpl("view", schema=SchemaName("schema")) + assert view.fully_qualified == '"schema"."view"' + + +def test_set_new_schema_fail(): + view = ViewNameImpl("abc") + with pytest.raises(AttributeError) as c: + view.schema_name = "edf" + + +def test_equality_true(): + t1 = ViewNameImpl("view", schema=SchemaName("schema")) + t2 = ViewNameImpl("view", schema=SchemaName("schema")) + assert t1 == t2 + + +def test_equality_name_not_equal(): + t1 = ViewNameImpl("view1", schema=SchemaName("schema")) + t2 = ViewNameImpl("view2", schema=SchemaName("schema")) + assert t1 != t2 + + +def test_equality_schema_not_equal(): + t1 = ViewNameImpl("view", schema=SchemaName("schema1")) + t2 = ViewNameImpl("view", schema=SchemaName("schema2")) + assert t1 != t2 + + +def test_not_equal_to_table(): + t1 = ViewNameImpl("view", schema=SchemaName("schema")) + t2 = TableNameImpl("view", schema=SchemaName("schema")) + assert t1 != t2 diff --git a/tests/unit_tests/data_science_utils/schema/test_view_name_builder.py b/tests/unit_tests/data_science_utils/schema/test_view_name_builder.py new file mode 100644 index 00000000..6526d161 --- /dev/null +++ b/tests/unit_tests/data_science_utils/schema/test_view_name_builder.py @@ -0,0 +1,94 @@ +import pytest + +from exasol_data_science_utils_python.schema.schema_name import SchemaName +from exasol_data_science_utils_python.schema.view_name import ViewName +from exasol_data_science_utils_python.schema.view_name_builder import ViewNameBuilder +from exasol_data_science_utils_python.schema.view_name_impl import ViewNameImpl + + +def test_using_empty_constructor(): + with pytest.raises(TypeError): + view_name = ViewNameBuilder().build() + + +def test_using_constructor_name_only(): + view_name = ViewNameBuilder(name="view").build() + assert view_name.name == "view" \ + and view_name.schema_name is None \ + and isinstance(view_name, ViewName) + + +def test_using_constructor_schema(): + view_name = ViewNameBuilder(name="view", schema=SchemaName("schema")).build() + assert view_name.name == "view" \ + and view_name.schema_name.name is "schema" \ + and isinstance(view_name, ViewName) + + +def test_using_with_name_only(): + view_name = ViewNameBuilder().with_name("view").build() + assert view_name.name == "view" \ + and view_name.schema_name is None \ + and isinstance(view_name, ViewName) + + +def test_using_with_schema(): + view_name = ViewNameBuilder().with_name("view").with_schema_name(SchemaName("schema")).build() + assert view_name.name == "view" \ + and view_name.schema_name.name == "schema" \ + and isinstance(view_name, ViewName) + + +def test_from_existing_using_with_schema(): + source_view_name = ViewNameImpl("view") + view_name = ViewNameBuilder(view_name=source_view_name).with_schema_name(SchemaName("schema")).build() + assert source_view_name.name == "view" \ + and source_view_name.schema_name is None \ + and view_name.name == "view" \ + and view_name.schema_name.name == "schema" \ + and isinstance(view_name, ViewName) + + +def test_from_existing_using_with_name(): + source_view_name = ViewNameImpl("view", SchemaName("schema")) + view_name = ViewNameBuilder(view_name=source_view_name).with_name("view1").build() + assert source_view_name.name == "view" \ + and source_view_name.schema_name.name == "schema" \ + and view_name.schema_name.name == "schema" \ + and view_name.name == "view1" \ + and isinstance(view_name, ViewName) + + +def test_from_existing_and_new_schema_in_constructor(): + source_view_name = ViewNameImpl("view") + view_name = ViewNameBuilder(schema=SchemaName("schema"), + view_name=source_view_name).build() + assert source_view_name.name == "view" \ + and source_view_name.schema_name is None \ + and view_name.name == "view" \ + and view_name.schema_name.name == "schema" \ + and isinstance(view_name, ViewName) + + +def test_from_existing_and_new_name_in_constructor(): + source_view_name = ViewNameImpl("view", SchemaName("schema")) + view_name = ViewNameBuilder(name="view1", + view_name=source_view_name).build() + assert source_view_name.name == "view" \ + and source_view_name.schema_name.name == "schema" \ + and view_name.schema_name.name == "schema" \ + and view_name.name == "view1" \ + and isinstance(view_name, ViewName) + + +def test_using_create_name_using_only_name(): + view_name = ViewNameBuilder.create(name="view") + assert view_name.name == "view" \ + and isinstance(view_name, ViewName) + + +def test_using_create_name_using_schema(): + view_name = ViewNameBuilder.create(name="view", schema=SchemaName("schema")) + assert view_name.name == "view" \ + and view_name.schema_name.name == "schema" \ + and isinstance(view_name, ViewName) diff --git a/tests/unit_tests/data_science_utils/test_mock_result_set.py b/tests/unit_tests/data_science_utils/test_mock_result_set.py new file mode 100644 index 00000000..a496c2e7 --- /dev/null +++ b/tests/unit_tests/data_science_utils/test_mock_result_set.py @@ -0,0 +1,86 @@ +import pytest + +from exasol_data_science_utils_python.schema.column import Column +from exasol_data_science_utils_python.schema.column_name_builder import ColumnNameBuilder +from exasol_data_science_utils_python.schema.column_type import ColumnType +from exasol_data_science_utils_python.udf_utils.testing.mock_result_set import MockResultSet + + +def test_fetchall_rows_none_(): + result_set = MockResultSet() + with pytest.raises(NotImplementedError): + result_set.fetchall() + + +def test_fetchone_rows_none_(): + result_set = MockResultSet() + with pytest.raises(NotImplementedError): + result_set.fetchone() + + +def test_fetchmany_rows_none_(): + result_set = MockResultSet() + with pytest.raises(NotImplementedError): + result_set.fetchmany() + + +def test_iter_rows_none_(): + result_set = MockResultSet() + with pytest.raises(NotImplementedError): + result_set.__iter__() + + +def test_next_rows_none_(): + result_set = MockResultSet() + with pytest.raises(NotImplementedError): + result_set.__next__() + + +def test_rowcount_rows_none_(): + result_set = MockResultSet() + with pytest.raises(NotImplementedError): + result_set.__next__() + + +def test_columns_columns_none_(): + result_set = MockResultSet() + with pytest.raises(NotImplementedError): + result_set.columns() + + +def test_for_loop(): + input = [("a", 1), ("b", 2), ("c", 4)] + result_set = MockResultSet(rows=input) + result = [] + for row in result_set: + result.append(row) + assert input == result + + +def test_fetchall(): + input = [("a", 1), ("b", 2), ("c", 4)] + result_set = MockResultSet(rows=input) + result = result_set.fetchall() + assert input == result + + +def test_fetchmany(): + input = [("a", 1), ("b", 2), ("c", 4)] + result_set = MockResultSet(rows=input) + result = result_set.fetchmany(2) + assert input[0:2] == result + + +def test_columns(): + input = [("a", 1), ("b", 2), ("c", 4)] + columns = [Column(ColumnNameBuilder.create("t1"), ColumnType(name="VARCHAR(200000)")), + Column(ColumnNameBuilder.create("t2"), ColumnType(name="INTEGER"))] + result_set = MockResultSet(rows=input, columns=columns) + assert columns == result_set.columns() + + +def test_rows_and_columns_different_length(): + input = [("a", 1), ("b", 2), ("c", 4)] + columns = [Column(ColumnNameBuilder.create("t1"), ColumnType(name="VARCHAR(200000)"))] + with pytest.raises(AssertionError): + result_set = MockResultSet(rows=input, columns=columns) diff --git a/tests/unit_tests/data_science_utils/test_mock_sql_executor.py b/tests/unit_tests/data_science_utils/test_mock_sql_executor.py new file mode 100644 index 00000000..61553988 --- /dev/null +++ b/tests/unit_tests/data_science_utils/test_mock_sql_executor.py @@ -0,0 +1,23 @@ +from exasol_data_science_utils_python.udf_utils.testing.mock_result_set import MockResultSet +from exasol_data_science_utils_python.udf_utils.testing.mock_sql_executor import MockSQLExecutor + + +def test_no_resultset(): + executor = MockSQLExecutor() + executor.execute("SELECT 1") + executor.execute("SELECT 2") + assert executor.queries == ["SELECT 1", "SELECT 2"] + + +def test_resultset(): + input_rs1 = MockResultSet(rows=[("a",)]) + input_rs2 = MockResultSet(rows=[("b",)]) + executor = MockSQLExecutor( + result_sets=[ + input_rs1, + input_rs2]) + rs1 = executor.execute("SELECT 1") + rs2 = executor.execute("SELECT 2") + assert executor.queries == ["SELECT 1", "SELECT 2"] + assert rs1 == input_rs1 + assert rs2 == input_rs2 diff --git a/tests/unit_tests/data_science_utils/udf_utils/__init__.py b/tests/unit_tests/data_science_utils/udf_utils/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/unit_tests/data_science_utils/udf_utils/test_ctx_iterator.py b/tests/unit_tests/data_science_utils/udf_utils/test_ctx_iterator.py new file mode 100644 index 00000000..b575d8fc --- /dev/null +++ b/tests/unit_tests/data_science_utils/udf_utils/test_ctx_iterator.py @@ -0,0 +1,34 @@ +import pytest +from exasol_udf_mock_python.column import Column +from exasol_udf_mock_python.group import Group +from exasol_udf_mock_python.mock_exa_environment import MockExaEnvironment +from exasol_udf_mock_python.mock_meta_data import MockMetaData +from exasol_udf_mock_python.udf_mock_executor import UDFMockExecutor + + +def udf_wrapper(): + from exasol_udf_mock_python.udf_context import UDFContext + from exasol_data_science_utils_python.udf_utils.iterator_utils import ctx_iterator + + def run(ctx: UDFContext): + iter = ctx_iterator(ctx, 3, lambda: ctx.reset()) + for b in iter: + ctx.emit(b) + + +@pytest.mark.parametrize("input_size", [i for i in range(1, 150)]) +def test_ctx_iterator(input_size): + executor = UDFMockExecutor() + meta = MockMetaData( + script_code_wrapper_function=udf_wrapper, + input_type="SET", + input_columns=[Column("t1", int, "INTEGER"), + Column("t2", float, "FLOAT"), ], + output_type="EMITS", + output_columns=[Column("t1", int, "INTEGER"), + Column("t2", float, "FLOAT")] + ) + exa = MockExaEnvironment(meta) + input_data = [(i, 1.0 * i) for i in range(input_size)] + result = executor.run([Group(input_data)], exa) + assert len(result[0]) == input_size diff --git a/tests/unit_tests/data_science_utils/udf_utils/test_iterate_trough_dataset.py b/tests/unit_tests/data_science_utils/udf_utils/test_iterate_trough_dataset.py new file mode 100644 index 00000000..4846a21b --- /dev/null +++ b/tests/unit_tests/data_science_utils/udf_utils/test_iterate_trough_dataset.py @@ -0,0 +1,36 @@ +import pytest +from exasol_udf_mock_python.column import Column +from exasol_udf_mock_python.group import Group +from exasol_udf_mock_python.mock_exa_environment import MockExaEnvironment +from exasol_udf_mock_python.mock_meta_data import MockMetaData +from exasol_udf_mock_python.udf_mock_executor import UDFMockExecutor + + +def udf_wrapper(): + from exasol_udf_mock_python.udf_context import UDFContext + + from exasol_data_science_utils_python.udf_utils.iterator_utils import iterate_trough_dataset + + def run(ctx: UDFContext): + iterate_trough_dataset(ctx, 10, + lambda x: x, + lambda: None, + lambda state, x: ctx.emit(x), + lambda: ctx.reset()) + +@pytest.mark.parametrize("input_size", [i for i in range(1,150)]) +def test_iterate_through_dataset(input_size): + executor = UDFMockExecutor() + meta = MockMetaData( + script_code_wrapper_function=udf_wrapper, + input_type="SET", + input_columns=[Column("t1", int, "INTEGER"), + Column("t2", float, "FLOAT"), ], + output_type="EMITS", + output_columns=[Column("t1", int, "INTEGER"), + Column("t2", float, "FLOAT")] + ) + exa = MockExaEnvironment(meta) + input_data = [(i, 1.0 * i) for i in range(input_size)] + result = executor.run([Group(input_data)], exa) + assert len(result[0]) == input_size diff --git a/tests/unit_tests/data_science_utils/udf_utils/test_udf_context_wrapper.py b/tests/unit_tests/data_science_utils/udf_utils/test_udf_context_wrapper.py new file mode 100644 index 00000000..a08894a2 --- /dev/null +++ b/tests/unit_tests/data_science_utils/udf_utils/test_udf_context_wrapper.py @@ -0,0 +1,61 @@ +from exasol_udf_mock_python.column import Column +from exasol_udf_mock_python.group import Group +from exasol_udf_mock_python.mock_exa_environment import MockExaEnvironment +from exasol_udf_mock_python.mock_meta_data import MockMetaData +from exasol_udf_mock_python.udf_mock_executor import UDFMockExecutor + + +def udf_wrapper(): + from exasol_udf_mock_python.udf_context import UDFContext + from collections import OrderedDict + from exasol_data_science_utils_python.udf_utils.udf_context_wrapper import UDFContextWrapper + import numpy as np + + def run(ctx: UDFContext): + wrapper = UDFContextWrapper(ctx, OrderedDict([("t2", "a"), ("t1", "b")])) + df = wrapper.get_dataframe(10) + assert len(df) == 10 + assert list(df.columns) == ["a", "b"] + assert list(df.dtypes) == [np.float64, np.int64] + + wrapper.reset() + df = wrapper.get_dataframe(10, start_col=1) + assert len(df) == 10 + assert list(df.columns) == ["b"] + assert list(df.dtypes) == [np.int64] + + wrapper.reset() + wrapper = UDFContextWrapper(ctx, OrderedDict([("t3", "d"), ("t2", "c"), ]), start_col=1) + df = wrapper.get_dataframe(10) + assert len(df) == 10 + assert list(df.columns) == ["d", "c"] + assert list(df.dtypes) == [np.float64, np.float64] + assert all(df["c"] < 1.0) + assert all(np.logical_or(df["d"] >= 1.0, df["d"] == 0.0)) + + + wrapper.reset() + df = wrapper.get_dataframe(10, start_col=1) + assert len(df) == 10 + assert list(df.columns) == ["c"] + assert list(df.dtypes) == [np.float64] + assert all(df["c"] < 1.0) + + +def test_partial_fit_iterator(): + executor = UDFMockExecutor() + meta = MockMetaData( + script_code_wrapper_function=udf_wrapper, + input_type="SET", + input_columns=[ + Column("t1", int, "INTEGER"), + Column("t2", float, "FLOAT"), + Column("t3", float, "FLOAT"), + ], + output_type="EMITS", + output_columns=[Column("t1", int, "INTEGER"), + Column("t2", float, "FLOAT")] + ) + exa = MockExaEnvironment(meta) + input_data = [(i, (1.0 * i) / 105, (1.0 * i)) for i in range(105)] + result = executor.run([Group(input_data)], exa) diff --git a/tests/unit_tests/data_science_utils/utils/__init__.py b/tests/unit_tests/data_science_utils/utils/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/unit_tests/data_science_utils/utils/test_hash_generation_for_object.py b/tests/unit_tests/data_science_utils/utils/test_hash_generation_for_object.py new file mode 100644 index 00000000..48ce8cd5 --- /dev/null +++ b/tests/unit_tests/data_science_utils/utils/test_hash_generation_for_object.py @@ -0,0 +1,158 @@ +import dataclasses +from typing import List, Dict + +from exasol_data_science_utils_python.utils.hash_generation_for_object import generate_hash_for_object + + +class HashableTestObject: + + def __init__(self, i: int): + self.i = i + + def __eq__(self, other): + return isinstance(other, HashableTestObject) and self.i == other.i + + def __hash__(self): + return self.i + + +@dataclasses.dataclass +class ObjectWithList: + test: List[HashableTestObject] + + +def test_object_with_list_equal(): + test1 = ObjectWithList(test=[HashableTestObject(1), HashableTestObject(2)]) + test2 = ObjectWithList(test=[HashableTestObject(1), HashableTestObject(2)]) + result1 = generate_hash_for_object(test1) + result2 = generate_hash_for_object(test2) + assert result1 == result2 + + +def test_object_with_list_different_values_not_equal(): + test1 = ObjectWithList(test=[HashableTestObject(1), HashableTestObject(2), HashableTestObject(3)]) + test2 = ObjectWithList(test=[HashableTestObject(1), HashableTestObject(2)]) + result1 = generate_hash_for_object(test1) + result2 = generate_hash_for_object(test2) + assert result1 != result2 + + +def test_object_with_list_different_order_not_equal(): + test1 = ObjectWithList(test=[HashableTestObject(1), HashableTestObject(2), HashableTestObject(3)]) + test2 = ObjectWithList(test=[HashableTestObject(3), HashableTestObject(1), HashableTestObject(2)]) + result1 = generate_hash_for_object(test1) + result2 = generate_hash_for_object(test2) + assert result1 != result2 + + +@dataclasses.dataclass +class ObjectWithMutlipleAttributes: + test1: HashableTestObject + test2: HashableTestObject + + +def test_object_with_multiple_attributes_equal(): + test1 = ObjectWithMutlipleAttributes(test1=HashableTestObject(1), test2=HashableTestObject(2)) + test2 = ObjectWithMutlipleAttributes(test1=HashableTestObject(1), test2=HashableTestObject(2)) + result1 = generate_hash_for_object(test1) + result2 = generate_hash_for_object(test2) + assert result1 == result2 + + +def test_object_with_multiple_attributes_not_equal(): + test1 = ObjectWithMutlipleAttributes(test1=HashableTestObject(1), test2=HashableTestObject(2)) + test2 = ObjectWithMutlipleAttributes(test1=HashableTestObject(1), test2=HashableTestObject(3)) + result1 = generate_hash_for_object(test1) + result2 = generate_hash_for_object(test2) + assert result1 != result2 + + +@dataclasses.dataclass +class ObjectWithDict: + test: Dict[HashableTestObject, HashableTestObject] + + +def test_object_with_dict_equal(): + test1 = ObjectWithDict(test={HashableTestObject(1): HashableTestObject(1), + HashableTestObject(2): HashableTestObject(2)}) + test2 = ObjectWithDict(test={HashableTestObject(1): HashableTestObject(1), + HashableTestObject(2): HashableTestObject(2)}) + + result1 = generate_hash_for_object(test1) + result2 = generate_hash_for_object(test2) + assert result1 == result2 + + +def test_object_with_dict_different_values_not_equal(): + test1 = ObjectWithDict(test={HashableTestObject(1): HashableTestObject(1), + HashableTestObject(2): HashableTestObject(2)}) + test2 = ObjectWithDict(test={HashableTestObject(1): HashableTestObject(1)}) + + result1 = generate_hash_for_object(test1) + result2 = generate_hash_for_object(test2) + assert result1 != result2 + + +def test_object_with_dict_different_order_not_equal(): + test1 = ObjectWithDict(test={HashableTestObject(1): HashableTestObject(1), + HashableTestObject(2): HashableTestObject(2)}) + test2 = ObjectWithDict(test={HashableTestObject(2): HashableTestObject(2), + HashableTestObject(1): HashableTestObject(1)}) + + result1 = generate_hash_for_object(test1) + result2 = generate_hash_for_object(test2) + assert result1 != result2 + + +class NotHashable: + __hash__ = None + + def __init__(self, i: int): + self.i = i + + +@dataclasses.dataclass +class ObjectWithNotHashable: + test: NotHashable + + +def test_object_not_hashable_same_value_equal_hash(): + test1 = ObjectWithNotHashable(test=NotHashable(1)) + test2 = ObjectWithNotHashable(test=NotHashable(1)) + + result1 = generate_hash_for_object(test1) + result2 = generate_hash_for_object(test2) + assert result1 == result2 + + +def test_object_not_hashable_different_values_equal_hash(): + test1 = ObjectWithNotHashable(test=NotHashable(1)) + test2 = ObjectWithNotHashable(test=NotHashable(2)) + + result1 = generate_hash_for_object(test1) + result2 = generate_hash_for_object(test2) + assert result1 == result2 + + +@dataclasses.dataclass +class ObjectWithCycle: + cycle: List + + +def create_object_with_cycle(value: int) -> ObjectWithCycle: + input_list = [HashableTestObject(value)] + test = ObjectWithCycle(input_list) + test.cycle.append(input_list) + return test + + +def test_object_with_cycle_equal(): + result1 = generate_hash_for_object(create_object_with_cycle(1)) + result2 = generate_hash_for_object(create_object_with_cycle(1)) + assert result1 == result2 + + +def test_object_with_cycle_not_equal(): + result1 = generate_hash_for_object(create_object_with_cycle(1)) + result2 = generate_hash_for_object(create_object_with_cycle(2)) + assert result1 != result2 diff --git a/tests/utils/parameters.py b/tests/utils/parameters.py index 0d5cf5fb..6051c59c 100644 --- a/tests/utils/parameters.py +++ b/tests/utils/parameters.py @@ -31,14 +31,14 @@ def address(self, port=None) -> str: db_params = DBParams( host="127.0.0.1", - port="9563", + port="8888", user="sys", password="exasol") bucketfs_params = BucketFSParams( host="127.0.0.1", port="6666", - real_port="6583", + real_port="2580", user="w", password="write", name="bfsdefault",