# testing/requirements.py
# Copyright (C) 2005-2014 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php

"""Global database feature support policy.

Provides decorators to mark tests requiring specific feature support from the
target database.

External dialect test suites should subclass SuiteRequirements
to provide specific inclusion/exclusions.

"""

from . import exclusions


class Requirements(object):
    pass


class SuiteRequirements(Requirements):

    @property
    def create_table(self):
        """target platform can emit basic CreateTable DDL."""

        return exclusions.open()

    @property
    def drop_table(self):
        """target platform can emit basic DropTable DDL."""

        return exclusions.open()

    @property
    def foreign_keys(self):
        """Target database must support foreign keys."""

        return exclusions.open()

    @property
    def on_update_cascade(self):
        """"target database must support ON UPDATE..CASCADE behavior in
        foreign keys."""

        return exclusions.open()

    @property
    def non_updating_cascade(self):
        """target database must *not* support ON UPDATE..CASCADE behavior in
        foreign keys."""
        return exclusions.closed()

    @property
    def deferrable_fks(self):
        return exclusions.closed()

    @property
    def on_update_or_deferrable_fks(self):
        # TODO: exclusions should be composable,
        # somehow only_if([x, y]) isn't working here, negation/conjunctions
        # getting confused.
        return exclusions.only_if(
            lambda: self.on_update_cascade.enabled or
            self.deferrable_fks.enabled
        )

    @property
    def self_referential_foreign_keys(self):
        """Target database must support self-referential foreign keys."""

        return exclusions.open()

    @property
    def foreign_key_ddl(self):
        """Target database must support the DDL phrases for FOREIGN KEY."""

        return exclusions.open()

    @property
    def named_constraints(self):
        """target database must support names for constraints."""

        return exclusions.open()

    @property
    def subqueries(self):
        """Target database must support subqueries."""

        return exclusions.open()

    @property
    def offset(self):
        """target database can render OFFSET, or an equivalent, in a
        SELECT.
        """

        return exclusions.open()

    @property
    def boolean_col_expressions(self):
        """Target database must support boolean expressions as columns"""

        return exclusions.closed()

    @property
    def nullsordering(self):
        """Target backends that support nulls ordering."""

        return exclusions.closed()

    @property
    def standalone_binds(self):
        """target database/driver supports bound parameters as column expressions
        without being in the context of a typed column.

        """
        return exclusions.closed()

    @property
    def intersect(self):
        """Target database must support INTERSECT or equivalent."""
        return exclusions.closed()

    @property
    def except_(self):
        """Target database must support EXCEPT or equivalent (i.e. MINUS)."""
        return exclusions.closed()

    @property
    def window_functions(self):
        """Target database must support window functions."""
        return exclusions.closed()

    @property
    def autoincrement_insert(self):
        """target platform generates new surrogate integer primary key values
        when insert() is executed, excluding the pk column."""

        return exclusions.open()

    @property
    def fetch_rows_post_commit(self):
        """target platform will allow cursor.fetchone() to proceed after a
        COMMIT.

        Typically this refers to an INSERT statement with RETURNING which
        is invoked within "autocommit".   If the row can be returned
        after the autocommit, then this rule can be open.

        """

        return exclusions.open()

    @property
    def empty_inserts(self):
        """target platform supports INSERT with no values, i.e.
        INSERT DEFAULT VALUES or equivalent."""

        return exclusions.only_if(
            lambda config: config.db.dialect.supports_empty_insert or
            config.db.dialect.supports_default_values,
            "empty inserts not supported"
        )

    @property
    def insert_from_select(self):
        """target platform supports INSERT from a SELECT."""

        return exclusions.open()

    @property
    def returning(self):
        """target platform supports RETURNING."""

        return exclusions.only_if(
            lambda config: config.db.dialect.implicit_returning,
            "'returning' not supported by database"
        )

    @property
    def duplicate_names_in_cursor_description(self):
        """target platform supports a SELECT statement that has
        the same name repeated more than once in the columns list."""

        return exclusions.open()

    @property
    def denormalized_names(self):
        """Target database must have 'denormalized', i.e.
        UPPERCASE as case insensitive names."""

        return exclusions.skip_if(
            lambda config: not config.db.dialect.requires_name_normalize,
            "Backend does not require denormalized names."
        )

    @property
    def multivalues_inserts(self):
        """target database must support multiple VALUES clauses in an
        INSERT statement."""

        return exclusions.skip_if(
            lambda config: not config.db.dialect.supports_multivalues_insert,
            "Backend does not support multirow inserts."
        )

    @property
    def implements_get_lastrowid(self):
        """"target dialect implements the executioncontext.get_lastrowid()
        method without reliance on RETURNING.

        """
        return exclusions.open()

    @property
    def emulated_lastrowid(self):
        """"target dialect retrieves cursor.lastrowid, or fetches
        from a database-side function after an insert() construct executes,
        within the get_lastrowid() method.

        Only dialects that "pre-execute", or need RETURNING to get last
        inserted id, would return closed/fail/skip for this.

        """
        return exclusions.closed()

    @property
    def dbapi_lastrowid(self):
        """"target platform includes a 'lastrowid' accessor on the DBAPI
        cursor object.

        """
        return exclusions.closed()

    @property
    def views(self):
        """Target database must support VIEWs."""

        return exclusions.closed()

    @property
    def schemas(self):
        """Target database must support external schemas, and have one
        named 'test_schema'."""

        return exclusions.closed()

    @property
    def sequences(self):
        """Target database must support SEQUENCEs."""

        return exclusions.only_if([
            lambda config: config.db.dialect.supports_sequences
        ], "no sequence support")

    @property
    def sequences_optional(self):
        """Target database supports sequences, but also optionally
        as a means of generating new PK values."""

        return exclusions.only_if([
            lambda config: config.db.dialect.supports_sequences and
            config.db.dialect.sequences_optional
        ], "no sequence support, or sequences not optional")

    @property
    def reflects_pk_names(self):
        return exclusions.closed()

    @property
    def table_reflection(self):
        return exclusions.open()

    @property
    def view_column_reflection(self):
        """target database must support retrieval of the columns in a view,
        similarly to how a table is inspected.

        This does not include the full CREATE VIEW definition.

        """
        return self.views

    @property
    def view_reflection(self):
        """target database must support inspection of the full CREATE VIEW definition.
        """
        return self.views

    @property
    def schema_reflection(self):
        return self.schemas

    @property
    def primary_key_constraint_reflection(self):
        return exclusions.open()

    @property
    def foreign_key_constraint_reflection(self):
        return exclusions.open()

    @property
    def index_reflection(self):
        return exclusions.open()

    @property
    def unique_constraint_reflection(self):
        """target dialect supports reflection of unique constraints"""
        return exclusions.open()

    @property
    def unbounded_varchar(self):
        """Target database must support VARCHAR with no length"""

        return exclusions.open()

    @property
    def unicode_data(self):
        """Target database/dialect must support Python unicode objects with
        non-ASCII characters represented, delivered as bound parameters
        as well as in result rows.

        """
        return exclusions.open()

    @property
    def unicode_ddl(self):
        """Target driver must support some degree of non-ascii symbol
        names.
        """
        return exclusions.closed()

    @property
    def datetime_literals(self):
        """target dialect supports rendering of a date, time, or datetime as a
        literal string, e.g. via the TypeEngine.literal_processor() method.

        """

        return exclusions.closed()

    @property
    def datetime(self):
        """target dialect supports representation of Python
        datetime.datetime() objects."""

        return exclusions.open()

    @property
    def datetime_microseconds(self):
        """target dialect supports representation of Python
        datetime.datetime() with microsecond objects."""

        return exclusions.open()

    @property
    def datetime_historic(self):
        """target dialect supports representation of Python
        datetime.datetime() objects with historic (pre 1970) values."""

        return exclusions.closed()

    @property
    def date(self):
        """target dialect supports representation of Python
        datetime.date() objects."""

        return exclusions.open()

    @property
    def date_coerces_from_datetime(self):
        """target dialect accepts a datetime object as the target
        of a date column."""

        return exclusions.open()

    @property
    def date_historic(self):
        """target dialect supports representation of Python
        datetime.datetime() objects with historic (pre 1970) values."""

        return exclusions.closed()

    @property
    def time(self):
        """target dialect supports representation of Python
        datetime.time() objects."""

        return exclusions.open()

    @property
    def time_microseconds(self):
        """target dialect supports representation of Python
        datetime.time() with microsecond objects."""

        return exclusions.open()

    @property
    def binary_comparisons(self):
        """target database/driver can allow BLOB/BINARY fields to be compared
        against a bound parameter value.
        """

        return exclusions.open()

    @property
    def binary_literals(self):
        """target backend supports simple binary literals, e.g. an
        expression like::

            SELECT CAST('foo' AS BINARY)

        Where ``BINARY`` is the type emitted from :class:`.LargeBinary`,
        e.g. it could be ``BLOB`` or similar.

        Basically fails on Oracle.

        """

        return exclusions.open()

    @property
    def precision_numerics_general(self):
        """target backend has general support for moderately high-precision
        numerics."""
        return exclusions.open()

    @property
    def precision_numerics_enotation_small(self):
        """target backend supports Decimal() objects using E notation
        to represent very small values."""
        return exclusions.closed()

    @property
    def precision_numerics_enotation_large(self):
        """target backend supports Decimal() objects using E notation
        to represent very large values."""
        return exclusions.closed()

    @property
    def precision_numerics_many_significant_digits(self):
        """target backend supports values with many digits on both sides,
        such as 319438950232418390.273596, 87673.594069654243

        """
        return exclusions.closed()

    @property
    def precision_numerics_retains_significant_digits(self):
        """A precision numeric type will return empty significant digits,
        i.e. a value such as 10.000 will come back in Decimal form with
        the .000 maintained."""

        return exclusions.closed()

    @property
    def precision_generic_float_type(self):
        """target backend will return native floating point numbers with at
        least seven decimal places when using the generic Float type.

        """
        return exclusions.open()

    @property
    def floats_to_four_decimals(self):
        """target backend can return a floating-point number with four
        significant digits (such as 15.7563) accurately
        (i.e. without FP inaccuracies, such as 15.75629997253418).

        """
        return exclusions.open()

    @property
    def fetch_null_from_numeric(self):
        """target backend doesn't crash when you try to select a NUMERIC
        value that has a value of NULL.

        Added to support Pyodbc bug #351.
        """

        return exclusions.open()

    @property
    def text_type(self):
        """Target database must support an unbounded Text() "
        "type such as TEXT or CLOB"""

        return exclusions.open()

    @property
    def empty_strings_varchar(self):
        """target database can persist/return an empty string with a
        varchar.

        """
        return exclusions.open()

    @property
    def empty_strings_text(self):
        """target database can persist/return an empty string with an
        unbounded text."""

        return exclusions.open()

    @property
    def selectone(self):
        """target driver must support the literal statement 'select 1'"""
        return exclusions.open()

    @property
    def savepoints(self):
        """Target database must support savepoints."""

        return exclusions.closed()

    @property
    def two_phase_transactions(self):
        """Target database must support two-phase transactions."""

        return exclusions.closed()

    @property
    def update_from(self):
        """Target must support UPDATE..FROM syntax"""
        return exclusions.closed()

    @property
    def update_where_target_in_subquery(self):
        """Target must support UPDATE where the same table is present in a
        subquery in the WHERE clause.

        This is an ANSI-standard syntax that apparently MySQL can't handle,
        such as:

        UPDATE documents SET flag=1 WHERE documents.title IN
            (SELECT max(documents.title) AS title
                FROM documents GROUP BY documents.user_id
            )
        """
        return exclusions.open()

    @property
    def mod_operator_as_percent_sign(self):
        """target database must use a plain percent '%' as the 'modulus'
        operator."""
        return exclusions.closed()

    @property
    def percent_schema_names(self):
        """target backend supports weird identifiers with percent signs
        in them, e.g. 'some % column'.

        this is a very weird use case but often has problems because of
        DBAPIs that use python formatting.  It's not a critical use
        case either.

        """
        return exclusions.closed()

    @property
    def order_by_label_with_expression(self):
        """target backend supports ORDER BY a column label within an
        expression.

        Basically this::

            select data as foo from test order by foo || 'bar'

        Lots of databases including Postgresql don't support this,
        so this is off by default.

        """
        return exclusions.closed()

    @property
    def unicode_connections(self):
        """Target driver must support non-ASCII characters being passed at
        all.
        """
        return exclusions.open()

    @property
    def skip_mysql_on_windows(self):
        """Catchall for a large variety of MySQL on Windows failures"""
        return exclusions.open()

    @property
    def ad_hoc_engines(self):
        """Test environment must allow ad-hoc engine/connection creation.

        DBs that scale poorly for many connections, even when closed, i.e.
        Oracle, may use the "--low-connections" option which flags this
        requirement as not present.

        """
        return exclusions.skip_if(
            lambda config: config.options.low_connections)

    def _has_mysql_on_windows(self, config):
        return False

    def _has_mysql_fully_case_sensitive(self, config):
        return False

    @property
    def sqlite(self):
        return exclusions.skip_if(lambda: not self._has_sqlite())

    @property
    def cextensions(self):
        return exclusions.skip_if(
            lambda: not self._has_cextensions(), "C extensions not installed"
        )

    def _has_sqlite(self):
        from sqlalchemy import create_engine
        try:
            create_engine('sqlite://')
            return True
        except ImportError:
            return False

    def _has_cextensions(self):
        try:
            from sqlalchemy import cresultproxy, cprocessors
            return True
        except ImportError:
            return False