# sql/util.py
# Copyright (C) 2005-2016 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

"""High level utilities which build upon other modules here.

"""

from .. import exc, util
from .base import _from_objects, ColumnSet
from . import operators, visitors
from itertools import chain
from collections import deque

from .elements import BindParameter, ColumnClause, ColumnElement, \
    Null, UnaryExpression, literal_column, Label, _label_reference, \
    _textual_label_reference
from .selectable import ScalarSelect, Join, FromClause, FromGrouping
from .schema import Column

join_condition = util.langhelpers.public_factory(
    Join._join_condition,
    ".sql.util.join_condition")

# names that are still being imported from the outside
from .annotation import _shallow_annotate, _deep_annotate, _deep_deannotate
from .elements import _find_columns
from .ddl import sort_tables


def find_join_source(clauses, join_to):
    """Given a list of FROM clauses and a selectable,
    return the first index and element from the list of
    clauses which can be joined against the selectable.  returns
    None, None if no match is found.

    e.g.::

        clause1 = table1.join(table2)
        clause2 = table4.join(table5)

        join_to = table2.join(table3)

        find_join_source([clause1, clause2], join_to) == clause1

    """

    selectables = list(_from_objects(join_to))
    for i, f in enumerate(clauses):
        for s in selectables:
            if f.is_derived_from(s):
                return i, f
    else:
        return None, None


def visit_binary_product(fn, expr):
    """Produce a traversal of the given expression, delivering
    column comparisons to the given function.

    The function is of the form::

        def my_fn(binary, left, right)

    For each binary expression located which has a
    comparison operator, the product of "left" and
    "right" will be delivered to that function,
    in terms of that binary.

    Hence an expression like::

        and_(
            (a + b) == q + func.sum(e + f),
            j == r
        )

    would have the traversal::

        a <eq> q
        a <eq> e
        a <eq> f
        b <eq> q
        b <eq> e
        b <eq> f
        j <eq> r

    That is, every combination of "left" and
    "right" that doesn't further contain
    a binary comparison is passed as pairs.

    """
    stack = []

    def visit(element):
        if isinstance(element, ScalarSelect):
            # we don't want to dig into correlated subqueries,
            # those are just column elements by themselves
            yield element
        elif element.__visit_name__ == 'binary' and \
                operators.is_comparison(element.operator):
            stack.insert(0, element)
            for l in visit(element.left):
                for r in visit(element.right):
                    fn(stack[0], l, r)
            stack.pop(0)
            for elem in element.get_children():
                visit(elem)
        else:
            if isinstance(element, ColumnClause):
                yield element
            for elem in element.get_children():
                for e in visit(elem):
                    yield e
    list(visit(expr))


def find_tables(clause, check_columns=False,
                include_aliases=False, include_joins=False,
                include_selects=False, include_crud=False):
    """locate Table objects within the given expression."""

    tables = []
    _visitors = {}

    if include_selects:
        _visitors['select'] = _visitors['compound_select'] = tables.append

    if include_joins:
        _visitors['join'] = tables.append

    if include_aliases:
        _visitors['alias'] = tables.append

    if include_crud:
        _visitors['insert'] = _visitors['update'] = \
            _visitors['delete'] = lambda ent: tables.append(ent.table)

    if check_columns:
        def visit_column(column):
            tables.append(column.table)
        _visitors['column'] = visit_column

    _visitors['table'] = tables.append

    visitors.traverse(clause, {'column_collections': False}, _visitors)
    return tables


def unwrap_order_by(clause):
    """Break up an 'order by' expression into individual column-expressions,
    without DESC/ASC/NULLS FIRST/NULLS LAST"""

    cols = util.column_set()
    stack = deque([clause])
    while stack:
        t = stack.popleft()
        if isinstance(t, ColumnElement) and \
            (
                not isinstance(t, UnaryExpression) or
                not operators.is_ordering_modifier(t.modifier)
        ):
            if isinstance(t, _label_reference):
                t = t.element
            if isinstance(t, (_textual_label_reference)):
                continue
            cols.add(t)
        else:
            for c in t.get_children():
                stack.append(c)
    return cols


def unwrap_label_reference(element):
    def replace(elem):
        if isinstance(elem, (_label_reference, _textual_label_reference)):
            return elem.element

    return visitors.replacement_traverse(
        element, {}, replace
    )


def clause_is_present(clause, search):
    """Given a target clause and a second to search within, return True
    if the target is plainly present in the search without any
    subqueries or aliases involved.

    Basically descends through Joins.

    """

    for elem in surface_selectables(search):
        if clause == elem:  # use == here so that Annotated's compare
            return True
    else:
        return False


def surface_selectables(clause):
    stack = [clause]
    while stack:
        elem = stack.pop()
        yield elem
        if isinstance(elem, Join):
            stack.extend((elem.left, elem.right))
        elif isinstance(elem, FromGrouping):
            stack.append(elem.element)


def selectables_overlap(left, right):
    """Return True if left/right have some overlapping selectable"""

    return bool(
        set(surface_selectables(left)).intersection(
            surface_selectables(right)
        )
    )


def bind_values(clause):
    """Return an ordered list of "bound" values in the given clause.

    E.g.::

        >>> expr = and_(
        ...    table.c.foo==5, table.c.foo==7
        ... )
        >>> bind_values(expr)
        [5, 7]
    """

    v = []

    def visit_bindparam(bind):
        v.append(bind.effective_value)

    visitors.traverse(clause, {}, {'bindparam': visit_bindparam})
    return v


def _quote_ddl_expr(element):
    if isinstance(element, util.string_types):
        element = element.replace("'", "''")
        return "'%s'" % element
    else:
        return repr(element)


class _repr_params(object):
    """A string view of bound parameters, truncating
    display to the given number of 'multi' parameter sets.

    """

    def __init__(self, params, batches):
        self.params = params
        self.batches = batches

    def __repr__(self):
        if isinstance(self.params, (list, tuple)) and \
                len(self.params) > self.batches and \
                isinstance(self.params[0], (list, dict, tuple)):
            msg = " ... displaying %i of %i total bound parameter sets ... "
            return ' '.join((
                repr(self.params[:self.batches - 2])[0:-1],
                msg % (self.batches, len(self.params)),
                repr(self.params[-2:])[1:]
            ))
        else:
            return repr(self.params)


def adapt_criterion_to_null(crit, nulls):
    """given criterion containing bind params, convert selected elements
    to IS NULL.

    """

    def visit_binary(binary):
        if isinstance(binary.left, BindParameter) \
                and binary.left._identifying_key in nulls:
            # reverse order if the NULL is on the left side
            binary.left = binary.right
            binary.right = Null()
            binary.operator = operators.is_
            binary.negate = operators.isnot
        elif isinstance(binary.right, BindParameter) \
                and binary.right._identifying_key in nulls:
            binary.right = Null()
            binary.operator = operators.is_
            binary.negate = operators.isnot

    return visitors.cloned_traverse(crit, {}, {'binary': visit_binary})


def splice_joins(left, right, stop_on=None):
    if left is None:
        return right

    stack = [(right, None)]

    adapter = ClauseAdapter(left)
    ret = None
    while stack:
        (right, prevright) = stack.pop()
        if isinstance(right, Join) and right is not stop_on:
            right = right._clone()
            right._reset_exported()
            right.onclause = adapter.traverse(right.onclause)
            stack.append((right.left, right))
        else:
            right = adapter.traverse(right)
        if prevright is not None:
            prevright.left = right
        if ret is None:
            ret = right

    return ret


def reduce_columns(columns, *clauses, **kw):
    """given a list of columns, return a 'reduced' set based on natural
    equivalents.

    the set is reduced to the smallest list of columns which have no natural
    equivalent present in the list.  A "natural equivalent" means that two
    columns will ultimately represent the same value because they are related
    by a foreign key.

    \*clauses is an optional list of join clauses which will be traversed
    to further identify columns that are "equivalent".

    \**kw may specify 'ignore_nonexistent_tables' to ignore foreign keys
    whose tables are not yet configured, or columns that aren't yet present.

    This function is primarily used to determine the most minimal "primary
    key" from a selectable, by reducing the set of primary key columns present
    in the selectable to just those that are not repeated.

    """
    ignore_nonexistent_tables = kw.pop('ignore_nonexistent_tables', False)
    only_synonyms = kw.pop('only_synonyms', False)

    columns = util.ordered_column_set(columns)

    omit = util.column_set()
    for col in columns:
        for fk in chain(*[c.foreign_keys for c in col.proxy_set]):
            for c in columns:
                if c is col:
                    continue
                try:
                    fk_col = fk.column
                except exc.NoReferencedColumnError:
                    # TODO: add specific coverage here
                    # to test/sql/test_selectable ReduceTest
                    if ignore_nonexistent_tables:
                        continue
                    else:
                        raise
                except exc.NoReferencedTableError:
                    # TODO: add specific coverage here
                    # to test/sql/test_selectable ReduceTest
                    if ignore_nonexistent_tables:
                        continue
                    else:
                        raise
                if fk_col.shares_lineage(c) and \
                    (not only_synonyms or
                     c.name == col.name):
                    omit.add(col)
                    break

    if clauses:
        def visit_binary(binary):
            if binary.operator == operators.eq:
                cols = util.column_set(
                    chain(*[c.proxy_set for c in columns.difference(omit)]))
                if binary.left in cols and binary.right in cols:
                    for c in reversed(columns):
                        if c.shares_lineage(binary.right) and \
                            (not only_synonyms or
                             c.name == binary.left.name):
                            omit.add(c)
                            break
        for clause in clauses:
            if clause is not None:
                visitors.traverse(clause, {}, {'binary': visit_binary})

    return ColumnSet(columns.difference(omit))


def criterion_as_pairs(expression, consider_as_foreign_keys=None,
                       consider_as_referenced_keys=None, any_operator=False):
    """traverse an expression and locate binary criterion pairs."""

    if consider_as_foreign_keys and consider_as_referenced_keys:
        raise exc.ArgumentError("Can only specify one of "
                                "'consider_as_foreign_keys' or "
                                "'consider_as_referenced_keys'")

    def col_is(a, b):
        # return a is b
        return a.compare(b)

    def visit_binary(binary):
        if not any_operator and binary.operator is not operators.eq:
            return
        if not isinstance(binary.left, ColumnElement) or \
                not isinstance(binary.right, ColumnElement):
            return

        if consider_as_foreign_keys:
            if binary.left in consider_as_foreign_keys and \
                (col_is(binary.right, binary.left) or
                 binary.right not in consider_as_foreign_keys):
                pairs.append((binary.right, binary.left))
            elif binary.right in consider_as_foreign_keys and \
                (col_is(binary.left, binary.right) or
                 binary.left not in consider_as_foreign_keys):
                pairs.append((binary.left, binary.right))
        elif consider_as_referenced_keys:
            if binary.left in consider_as_referenced_keys and \
                (col_is(binary.right, binary.left) or
                 binary.right not in consider_as_referenced_keys):
                pairs.append((binary.left, binary.right))
            elif binary.right in consider_as_referenced_keys and \
                (col_is(binary.left, binary.right) or
                 binary.left not in consider_as_referenced_keys):
                pairs.append((binary.right, binary.left))
        else:
            if isinstance(binary.left, Column) and \
                    isinstance(binary.right, Column):
                if binary.left.references(binary.right):
                    pairs.append((binary.right, binary.left))
                elif binary.right.references(binary.left):
                    pairs.append((binary.left, binary.right))
    pairs = []
    visitors.traverse(expression, {}, {'binary': visit_binary})
    return pairs


class ClauseAdapter(visitors.ReplacingCloningVisitor):
    """Clones and modifies clauses based on column correspondence.

    E.g.::

      table1 = Table('sometable', metadata,
          Column('col1', Integer),
          Column('col2', Integer)
          )
      table2 = Table('someothertable', metadata,
          Column('col1', Integer),
          Column('col2', Integer)
          )

      condition = table1.c.col1 == table2.c.col1

    make an alias of table1::

      s = table1.alias('foo')

    calling ``ClauseAdapter(s).traverse(condition)`` converts
    condition to read::

      s.c.col1 == table2.c.col1

    """

    def __init__(self, selectable, equivalents=None,
                 include_fn=None, exclude_fn=None,
                 adapt_on_names=False, anonymize_labels=False):
        self.__traverse_options__ = {
            'stop_on': [selectable],
            'anonymize_labels': anonymize_labels}
        self.selectable = selectable
        self.include_fn = include_fn
        self.exclude_fn = exclude_fn
        self.equivalents = util.column_dict(equivalents or {})
        self.adapt_on_names = adapt_on_names

    def _corresponding_column(self, col, require_embedded,
                              _seen=util.EMPTY_SET):
        newcol = self.selectable.corresponding_column(
            col,
            require_embedded=require_embedded)
        if newcol is None and col in self.equivalents and col not in _seen:
            for equiv in self.equivalents[col]:
                newcol = self._corresponding_column(
                    equiv, require_embedded=require_embedded,
                    _seen=_seen.union([col]))
                if newcol is not None:
                    return newcol
        if self.adapt_on_names and newcol is None:
            newcol = self.selectable.c.get(col.name)
        return newcol

    def replace(self, col):
        if isinstance(col, FromClause) and \
                self.selectable.is_derived_from(col):
            return self.selectable
        elif not isinstance(col, ColumnElement):
            return None
        elif self.include_fn and not self.include_fn(col):
            return None
        elif self.exclude_fn and self.exclude_fn(col):
            return None
        else:
            return self._corresponding_column(col, True)


class ColumnAdapter(ClauseAdapter):
    """Extends ClauseAdapter with extra utility functions.

    Key aspects of ColumnAdapter include:

    * Expressions that are adapted are stored in a persistent
      .columns collection; so that an expression E adapted into
      an expression E1, will return the same object E1 when adapted
      a second time.   This is important in particular for things like
      Label objects that are anonymized, so that the ColumnAdapter can
      be used to present a consistent "adapted" view of things.

    * Exclusion of items from the persistent collection based on
      include/exclude rules, but also independent of hash identity.
      This because "annotated" items all have the same hash identity as their
      parent.

    * "wrapping" capability is added, so that the replacement of an expression
      E can proceed through a series of adapters.  This differs from the
      visitor's "chaining" feature in that the resulting object is passed
      through all replacing functions unconditionally, rather than stopping
      at the first one that returns non-None.

    * An adapt_required option, used by eager loading to indicate that
      We don't trust a result row column that is not translated.
      This is to prevent a column from being interpreted as that
      of the child row in a self-referential scenario, see
      inheritance/test_basic.py->EagerTargetingTest.test_adapt_stringency

    """

    def __init__(self, selectable, equivalents=None,
                 chain_to=None, adapt_required=False,
                 include_fn=None, exclude_fn=None,
                 adapt_on_names=False,
                 allow_label_resolve=True,
                 anonymize_labels=False):
        ClauseAdapter.__init__(self, selectable, equivalents,
                               include_fn=include_fn, exclude_fn=exclude_fn,
                               adapt_on_names=adapt_on_names,
                               anonymize_labels=anonymize_labels)

        if chain_to:
            self.chain(chain_to)
        self.columns = util.populate_column_dict(self._locate_col)
        if self.include_fn or self.exclude_fn:
            self.columns = self._IncludeExcludeMapping(self, self.columns)
        self.adapt_required = adapt_required
        self.allow_label_resolve = allow_label_resolve
        self._wrap = None

    class _IncludeExcludeMapping(object):
        def __init__(self, parent, columns):
            self.parent = parent
            self.columns = columns

        def __getitem__(self, key):
            if (
                self.parent.include_fn and not self.parent.include_fn(key)
            ) or (
                self.parent.exclude_fn and self.parent.exclude_fn(key)
            ):
                if self.parent._wrap:
                    return self.parent._wrap.columns[key]
                else:
                    return key
            return self.columns[key]

    def wrap(self, adapter):
        ac = self.__class__.__new__(self.__class__)
        ac.__dict__.update(self.__dict__)
        ac._wrap = adapter
        ac.columns = util.populate_column_dict(ac._locate_col)
        if ac.include_fn or ac.exclude_fn:
            ac.columns = self._IncludeExcludeMapping(ac, ac.columns)

        return ac

    def traverse(self, obj):
        return self.columns[obj]

    adapt_clause = traverse
    adapt_list = ClauseAdapter.copy_and_process

    def _locate_col(self, col):

        c = ClauseAdapter.traverse(self, col)

        if self._wrap:
            c2 = self._wrap._locate_col(c)
            if c2 is not None:
                c = c2

        if self.adapt_required and c is col:
            return None

        c._allow_label_resolve = self.allow_label_resolve

        return c

    def __getstate__(self):
        d = self.__dict__.copy()
        del d['columns']
        return d

    def __setstate__(self, state):
        self.__dict__.update(state)
        self.columns = util.PopulateDict(self._locate_col)
