# -*- coding: utf-8 -*-
"""
    pyrseas.function
    ~~~~~~~~~~~~~~~~

    This module defines four classes: Proc derived from
    DbSchemaObject, Function and Aggregate derived from Proc, and
    FunctionDict derived from DbObjectDict.
"""
from pyrseas.dbobject import DbObjectDict, DbSchemaObject


VOLATILITY_TYPES = {'i': 'immutable', 's': 'stable', 'v': 'volatile'}


class Proc(DbSchemaObject):
    """A procedure such as a FUNCTION or an AGGREGATE"""

    keylist = ['schema', 'name', 'arguments']

    def extern_key(self):
        """Return the key to be used in external maps for this function

        :return: string
        """
        return '%s %s(%s)' % (self.objtype.lower(), self.name, self.arguments)

    def identifier(self):
        """Return a full identifier for a function object

        :return: string
        """
        return "%s(%s)" % (self.qualname(), self.arguments)


class Function(Proc):
    """A procedural language function"""

    objtype = "FUNCTION"

    def to_map(self):
        """Convert a function to a YAML-suitable format

        :return: dictionary
        """
        dct = self._base_map()
        if self.volatility == 'v':
            del dct['volatility']
        else:
            dct['volatility'] = VOLATILITY_TYPES[self.volatility]
        if hasattr(self, 'dependent_table'):
            del dct['dependent_table']
        if hasattr(self, 'obj_file'):
            dct['link_symbol'] = self.source
            del dct['source']
        if hasattr(self, '_dep_type'):
            del dct['_dep_type']
        if hasattr(self, 'cost') and self.cost != 0:
            if self.language in ['c', 'internal']:
                if self.cost == 1:
                    del dct['cost']
            else:
                if self.cost == 100:
                    del dct['cost']
        if hasattr(self, 'rows') and self.rows != 0:
            if self.rows == 1000:
                del dct['rows']
        return {self.extern_key(): dct}

    def create(self, newsrc=None, basetype=False):
        """Return SQL statements to CREATE or REPLACE the function

        :param newsrc: new source for a changed function
        :return: SQL statements
        """
        stmts = []
        if hasattr(self, '_dep_type') and not basetype:
            return stmts
        if hasattr(self, 'dependent_table'):
            stmts.append(self.dependent_table.create())
        if hasattr(self, 'obj_file'):
            src = "'%s', '%s'" % (self.obj_file,
                                  hasattr(self, 'link_symbol')
                                  and self.link_symbol or self.name)
        elif self.language == 'internal':
            src = "$$%s$$" % (newsrc or self.source)
        else:
            src = "$_$%s$_$" % (newsrc or self.source)
        volat = strict = secdef = cost = rows = ''
        if hasattr(self, 'volatility'):
            volat = ' ' + VOLATILITY_TYPES[self.volatility].upper()
        if hasattr(self, 'strict') and self.strict:
            strict = ' STRICT'
        if hasattr(self, 'security_definer') and self.security_definer:
            secdef = ' SECURITY DEFINER'
        if hasattr(self, 'cost') and self.cost != 0:
            if self.language in ['c', 'internal']:
                if self.cost != 1:
                    cost = " COST %s" % self.cost
            else:
                if self.cost != 100:
                    cost = " COST %s" % self.cost
        if hasattr(self, 'rows') and self.rows != 0:
            if self.rows != 1000:
                rows = " ROWS %s" % self.rows

        stmts.append("CREATE%s FUNCTION %s(%s) RETURNS %s\n    LANGUAGE %s"
                     "%s%s%s%s%s\n    AS %s" % (
                newsrc and " OR REPLACE" or '', self.qualname(),
                self.arguments, self.returns, self.language, volat, strict,
                secdef, cost, rows, src))
        if hasattr(self, 'description'):
            stmts.append(self.comment())
        return stmts

    def diff_map(self, infunction):
        """Generate SQL to transform an existing function

        :param infunction: a YAML map defining the new function
        :return: list of SQL statements

        Compares the function to an input function and generates SQL
        statements to transform it into the one represented by the
        input.
        """
        stmts = []
        if hasattr(self, 'source') and hasattr(infunction, 'source'):
            if self.source != infunction.source:
                stmts.append(self.create(infunction.source))
        stmts.append(self.diff_description(infunction))
        return stmts


class Aggregate(Proc):
    """An aggregate function"""

    objtype = "AGGREGATE"

    def to_map(self):
        """Convert an agggregate to a YAML-suitable format

        :return: dictionary
        """
        dct = self._base_map()
        del dct['language']
        return {self.extern_key(): dct}

    def create(self):
        """Return SQL statements to CREATE the aggregate

        :return: SQL statements
        """
        stmts = []
        opt_clauses = []
        if hasattr(self, 'finalfunc'):
            ffname = self.finalfunc[:self.finalfunc.index('(')]
            opt_clauses.append("FINALFUNC = %s" % ffname)
        if hasattr(self, 'initcond'):
            opt_clauses.append("INITCOND = '%s'" % self.initcond)
        if hasattr(self, 'sortop'):
            opt_clauses.append("SORTOP = %s" % self.sortop)
        stmts.append("CREATE AGGREGATE %s(%s) (\n    SFUNC = %s,"
                     "\n    STYPE = %s%s%s)" % (
                self.qualname(),
                self.arguments, self.sfunc, self.stype,
                opt_clauses and ',\n    ' or '', ',\n    '.join(opt_clauses)))
        if hasattr(self, 'description'):
            stmts.append(self.comment())
        return stmts


class ProcDict(DbObjectDict):
    "The collection of regular and aggregate functions in a database"

    cls = Proc
    query = \
        """SELECT nspname AS schema, proname AS name,
                  pg_get_function_arguments(p.oid) AS arguments,
                  pg_get_function_result(p.oid) AS returns,
                  l.lanname AS language, provolatile AS volatility,
                  proisstrict AS strict, proisagg, prosrc AS source,
                  probin::text AS obj_file,
                  prosecdef AS security_definer, procost AS cost,
                  aggtransfn::regprocedure AS sfunc,
                  aggtranstype::regtype AS stype,
                  aggfinalfn::regprocedure AS finalfunc,
                  agginitval AS initcond, aggsortop::regoper AS sortop,
                  obj_description(p.oid, 'pg_proc') AS description,
                  prorows::integer AS rows
           FROM pg_proc p
                JOIN pg_namespace n ON (pronamespace = n.oid)
                JOIN pg_language l ON (prolang = l.oid)
                LEFT JOIN pg_aggregate a ON (p.oid = aggfnoid)
           WHERE (nspname != 'pg_catalog' AND nspname != 'information_schema')
             AND p.oid NOT IN (
                 SELECT objid FROM pg_depend WHERE deptype = 'e'
                              AND classid = 'pg_proc'::regclass)
           ORDER BY nspname, proname"""

    def _from_catalog(self):
        """Initialize the dictionary of procedures by querying the catalogs"""
        for proc in self.fetch():
            sch, prc, arg = proc.key()
            if hasattr(proc, 'proisagg'):
                del proc.proisagg
                del proc.source
                del proc.volatility
                del proc.returns
                del proc.cost
                if proc.finalfunc == '-':
                    del proc.finalfunc
                if proc.sortop == '0':
                    del proc.sortop
                self[(sch, prc, arg)] = Aggregate(**proc.__dict__)
            else:
                self[(sch, prc, arg)] = Function(**proc.__dict__)

    def from_map(self, schema, infuncs):
        """Initalize the dictionary of functions by converting the input map

        :param schema: schema owning the functions
        :param infuncs: YAML map defining the functions
        """
        for key in list(infuncs.keys()):
            (objtype, spc, fnc) = key.partition(' ')
            if spc != ' ' or objtype not in ['function', 'aggregate']:
                raise KeyError("Unrecognized object type: %s" % key)
            paren = fnc.find('(')
            if paren == -1 or fnc[-1:] != ')':
                raise KeyError("Invalid function signature: %s" % fnc)
            arguments = fnc[paren + 1:-1]
            infunc = infuncs[key]
            fnc = fnc[:paren]
            if objtype == 'function':
                self[(schema.name, fnc, arguments)] = func = Function(
                    schema=schema.name, name=fnc, arguments=arguments)
            else:
                self[(schema.name, fnc, arguments)] = func = Aggregate(
                    schema=schema.name, name=fnc, arguments=arguments)
                func.language = 'internal'
            if not infunc:
                raise ValueError("Function '%s' has no specification" % fnc)
            for attr, val in list(infunc.items()):
                setattr(func, attr, val)
            if hasattr(func, 'volatility'):
                func.volatility = func.volatility[:1].lower()
            if isinstance(func, Function):
                src = hasattr(func, 'source')
                obj = hasattr(func, 'obj_file')
                if (src and obj) or not (src or obj):
                    raise ValueError("Function '%s': either source or "
                                     "obj_file must be specified" % fnc)
            if 'oldname' in infunc:
                func.oldname = infunc['oldname']
            if 'description' in infunc:
                func.description = infunc['description']

    def diff_map(self, infuncs):
        """Generate SQL to transform existing functions

        :param infuncs: a YAML map defining the new functions
        :return: list of SQL statements

        Compares the existing function definitions, as fetched from
        the catalogs, to the input map and generates SQL statements to
        transform the functions accordingly.
        """
        stmts = []
        created = False
        # check input functions
        for (sch, fnc, arg) in list(infuncs.keys()):
            infunc = infuncs[(sch, fnc, arg)]
            if isinstance(infunc, Aggregate):
                continue
            # does it exist in the database?
            if (sch, fnc, arg) not in self:
                if not hasattr(infunc, 'oldname'):
                    # create new function
                    stmts.append(infunc.create())
                    created = True
                else:
                    stmts.append(self[(sch, fnc, arg)].rename(infunc))
            else:
                # check function objects
                diff_stmts = self[(sch, fnc, arg)].diff_map(infunc)
                for stmt in diff_stmts:
                    if isinstance(stmt, list) and stmt:
                        stmt = stmt[0]
                    if isinstance(stmt, str) and stmt.startswith("CREATE "):
                        created = True
                        break
                stmts.append(diff_stmts)

        # check input aggregates
        for (sch, fnc, arg) in list(infuncs.keys()):
            infunc = infuncs[(sch, fnc, arg)]
            if not isinstance(infunc, Aggregate):
                continue
            # does it exist in the database?
            if (sch, fnc, arg) not in self:
                if not hasattr(infunc, 'oldname'):
                    # create new function
                    stmts.append(infunc.create())
                else:
                    stmts.append(self[(sch, fnc, arg)].rename(infunc))
            else:
                # check function objects
                stmts.append(self[(sch, fnc, arg)].diff_map(infunc))

        # check existing functions
        for (sch, fnc, arg) in list(self.keys()):
            func = self[(sch, fnc, arg)]
            # if missing, mark it for dropping
            if (sch, fnc, arg) not in infuncs:
                func.dropped = False

        if created:
            stmts.insert(0, "SET check_function_bodies = false")
        return stmts

    def _drop(self):
        """Actually drop the functions

        :return: SQL statements
        """
        stmts = []
        for (sch, fnc, arg) in list(self.keys()):
            func = self[(sch, fnc, arg)]
            if isinstance(func, Aggregate) and hasattr(func, 'dropped'):
                stmts.append(func.drop())

        for (sch, fnc, arg) in list(self.keys()):
            func = self[(sch, fnc, arg)]
            if hasattr(func, 'dropped') and not hasattr(func, '_dep_type'):
                stmts.append(func.drop())

        return stmts

# -*- coding: utf-8 -*-
"""
    pyrseas.function
    ~~~~~~~~~~~~~~~~

    This module defines four classes: Proc derived from
    DbSchemaObject, Function and Aggregate derived from Proc, and
    FunctionDict derived from DbObjectDict.
"""
from pyrseas.dbobject import DbObjectDict, DbSchemaObject


VOLATILITY_TYPES = {'i': 'immutable', 's': 'stable', 'v': 'volatile'}


class Proc(DbSchemaObject):
    """A procedure such as a FUNCTION or an AGGREGATE"""

    keylist = ['schema', 'name', 'arguments']

    def extern_key(self):
        """Return the key to be used in external maps for this function

        :return: string
        """
        return '%s %s(%s)' % (self.objtype.lower(), self.name, self.arguments)

    def identifier(self):
        """Return a full identifier for a function object

        :return: string
        """
        return "%s(%s)" % (self.qualname(), self.arguments)


class Function(Proc):
    """A procedural language function"""

    objtype = "FUNCTION"

    def to_map(self):
        """Convert a function to a YAML-suitable format

        :return: dictionary
        """
        dct = self._base_map()
        if self.volatility == 'v':
            del dct['volatility']
        else:
            dct['volatility'] = VOLATILITY_TYPES[self.volatility]
        if hasattr(self, 'dependent_table'):
            del dct['dependent_table']
        if hasattr(self, 'obj_file'):
            dct['link_symbol'] = self.source
            del dct['source']
        if hasattr(self, '_dep_type'):
            del dct['_dep_type']
        if hasattr(self, 'cost') and self.cost != 0:
            if self.language in ['c', 'internal']:
                if self.cost == 1:
                    del dct['cost']
            else:
                if self.cost == 100:
                    del dct['cost']
        if hasattr(self, 'rows') and self.rows != 0:
            if self.rows == 1000:
                del dct['rows']
        return {self.extern_key(): dct}

    def create(self, newsrc=None, basetype=False):
        """Return SQL statements to CREATE or REPLACE the function

        :param newsrc: new source for a changed function
        :return: SQL statements
        """
        stmts = []
        if hasattr(self, '_dep_type') and not basetype:
            return stmts
        if hasattr(self, 'dependent_table'):
            stmts.append(self.dependent_table.create())
        if hasattr(self, 'obj_file'):
            src = "'%s', '%s'" % (self.obj_file,
                                  hasattr(self, 'link_symbol')
                                  and self.link_symbol or self.name)
        elif self.language == 'internal':
            src = "$$%s$$" % (newsrc or self.source)
        else:
            src = "$_$%s$_$" % (newsrc or self.source)
        volat = strict = secdef = cost = rows = ''
        if hasattr(self, 'volatility'):
            volat = ' ' + VOLATILITY_TYPES[self.volatility].upper()
        if hasattr(self, 'strict') and self.strict:
            strict = ' STRICT'
        if hasattr(self, 'security_definer') and self.security_definer:
            secdef = ' SECURITY DEFINER'
        if hasattr(self, 'cost') and self.cost != 0:
            if self.language in ['c', 'internal']:
                if self.cost != 1:
                    cost = " COST %s" % self.cost
            else:
                if self.cost != 100:
                    cost = " COST %s" % self.cost
        if hasattr(self, 'rows') and self.rows != 0:
            if self.rows != 1000:
                rows = " ROWS %s" % self.rows

        stmts.append("CREATE%s FUNCTION %s(%s) RETURNS %s\n    LANGUAGE %s"
                     "%s%s%s%s%s\n    AS %s" % (
                newsrc and " OR REPLACE" or '', self.qualname(),
                self.arguments, self.returns, self.language, volat, strict,
                secdef, cost, rows, src))
        if hasattr(self, 'description'):
            stmts.append(self.comment())
        return stmts

    def diff_map(self, infunction):
        """Generate SQL to transform an existing function

        :param infunction: a YAML map defining the new function
        :return: list of SQL statements

        Compares the function to an input function and generates SQL
        statements to transform it into the one represented by the
        input.
        """
        stmts = []
        if hasattr(self, 'source') and hasattr(infunction, 'source'):
            if self.source != infunction.source:
                stmts.append(self.create(infunction.source))
        stmts.append(self.diff_description(infunction))
        return stmts


class Aggregate(Proc):
    """An aggregate function"""

    objtype = "AGGREGATE"

    def to_map(self):
        """Convert an agggregate to a YAML-suitable format

        :return: dictionary
        """
        dct = self._base_map()
        del dct['language']
        return {self.extern_key(): dct}

    def create(self):
        """Return SQL statements to CREATE the aggregate

        :return: SQL statements
        """
        stmts = []
        opt_clauses = []
        if hasattr(self, 'finalfunc'):
            ffname = self.finalfunc[:self.finalfunc.index('(')]
            opt_clauses.append("FINALFUNC = %s" % ffname)
        if hasattr(self, 'initcond'):
            opt_clauses.append("INITCOND = '%s'" % self.initcond)
        if hasattr(self, 'sortop'):
            opt_clauses.append("SORTOP = %s" % self.sortop)
        stmts.append("CREATE AGGREGATE %s(%s) (\n    SFUNC = %s,"
                     "\n    STYPE = %s%s%s)" % (
                self.qualname(),
                self.arguments, self.sfunc, self.stype,
                opt_clauses and ',\n    ' or '', ',\n    '.join(opt_clauses)))
        if hasattr(self, 'description'):
            stmts.append(self.comment())
        return stmts


class ProcDict(DbObjectDict):
    "The collection of regular and aggregate functions in a database"

    cls = Proc
    query = \
        """SELECT nspname AS schema, proname AS name,
                  pg_get_function_arguments(p.oid) AS arguments,
                  pg_get_function_result(p.oid) AS returns,
                  l.lanname AS language, provolatile AS volatility,
                  proisstrict AS strict, proisagg, prosrc AS source,
                  probin::text AS obj_file,
                  prosecdef AS security_definer, procost AS cost,
                  aggtransfn::regprocedure AS sfunc,
                  aggtranstype::regtype AS stype,
                  aggfinalfn::regprocedure AS finalfunc,
                  agginitval AS initcond, aggsortop::regoper AS sortop,
                  obj_description(p.oid, 'pg_proc') AS description,
                  prorows::integer AS rows
           FROM pg_proc p
                JOIN pg_namespace n ON (pronamespace = n.oid)
                JOIN pg_language l ON (prolang = l.oid)
                LEFT JOIN pg_aggregate a ON (p.oid = aggfnoid)
           WHERE (nspname != 'pg_catalog' AND nspname != 'information_schema')
             AND p.oid NOT IN (
                 SELECT objid FROM pg_depend WHERE deptype = 'e'
                              AND classid = 'pg_proc'::regclass)
           ORDER BY nspname, proname"""

    def _from_catalog(self):
        """Initialize the dictionary of procedures by querying the catalogs"""
        for proc in self.fetch():
            sch, prc, arg = proc.key()
            if hasattr(proc, 'proisagg'):
                del proc.proisagg
                del proc.source
                del proc.volatility
                del proc.returns
                del proc.cost
                if proc.finalfunc == '-':
                    del proc.finalfunc
                if proc.sortop == '0':
                    del proc.sortop
                self[(sch, prc, arg)] = Aggregate(**proc.__dict__)
            else:
                self[(sch, prc, arg)] = Function(**proc.__dict__)

    def from_map(self, schema, infuncs):
        """Initalize the dictionary of functions by converting the input map

        :param schema: schema owning the functions
        :param infuncs: YAML map defining the functions
        """
        for key in list(infuncs.keys()):
            (objtype, spc, fnc) = key.partition(' ')
            if spc != ' ' or objtype not in ['function', 'aggregate']:
                raise KeyError("Unrecognized object type: %s" % key)
            paren = fnc.find('(')
            if paren == -1 or fnc[-1:] != ')':
                raise KeyError("Invalid function signature: %s" % fnc)
            arguments = fnc[paren + 1:-1]
            infunc = infuncs[key]
            fnc = fnc[:paren]
            if objtype == 'function':
                self[(schema.name, fnc, arguments)] = func = Function(
                    schema=schema.name, name=fnc, arguments=arguments)
            else:
                self[(schema.name, fnc, arguments)] = func = Aggregate(
                    schema=schema.name, name=fnc, arguments=arguments)
                func.language = 'internal'
            if not infunc:
                raise ValueError("Function '%s' has no specification" % fnc)
            for attr, val in list(infunc.items()):
                setattr(func, attr, val)
            if hasattr(func, 'volatility'):
                func.volatility = func.volatility[:1].lower()
            if isinstance(func, Function):
                src = hasattr(func, 'source')
                obj = hasattr(func, 'obj_file')
                if (src and obj) or not (src or obj):
                    raise ValueError("Function '%s': either source or "
                                     "obj_file must be specified" % fnc)
            if 'oldname' in infunc:
                func.oldname = infunc['oldname']
            if 'description' in infunc:
                func.description = infunc['description']

    def diff_map(self, infuncs):
        """Generate SQL to transform existing functions

        :param infuncs: a YAML map defining the new functions
        :return: list of SQL statements

        Compares the existing function definitions, as fetched from
        the catalogs, to the input map and generates SQL statements to
        transform the functions accordingly.
        """
        stmts = []
        created = False
        # check input functions
        for (sch, fnc, arg) in list(infuncs.keys()):
            infunc = infuncs[(sch, fnc, arg)]
            if isinstance(infunc, Aggregate):
                continue
            # does it exist in the database?
            if (sch, fnc, arg) not in self:
                if not hasattr(infunc, 'oldname'):
                    # create new function
                    stmts.append(infunc.create())
                    created = True
                else:
                    stmts.append(self[(sch, fnc, arg)].rename(infunc))
            else:
                # check function objects
                diff_stmts = self[(sch, fnc, arg)].diff_map(infunc)
                for stmt in diff_stmts:
                    if isinstance(stmt, list) and stmt:
                        stmt = stmt[0]
                    if isinstance(stmt, str) and stmt.startswith("CREATE "):
                        created = True
                        break
                stmts.append(diff_stmts)

        # check input aggregates
        for (sch, fnc, arg) in list(infuncs.keys()):
            infunc = infuncs[(sch, fnc, arg)]
            if not isinstance(infunc, Aggregate):
                continue
            # does it exist in the database?
            if (sch, fnc, arg) not in self:
                if not hasattr(infunc, 'oldname'):
                    # create new function
                    stmts.append(infunc.create())
                else:
                    stmts.append(self[(sch, fnc, arg)].rename(infunc))
            else:
                # check function objects
                stmts.append(self[(sch, fnc, arg)].diff_map(infunc))

        # check existing functions
        for (sch, fnc, arg) in list(self.keys()):
            func = self[(sch, fnc, arg)]
            # if missing, mark it for dropping
            if (sch, fnc, arg) not in infuncs:
                func.dropped = False

        if created:
            stmts.insert(0, "SET check_function_bodies = false")
        return stmts

    def _drop(self):
        """Actually drop the functions

        :return: SQL statements
        """
        stmts = []
        for (sch, fnc, arg) in list(self.keys()):
            func = self[(sch, fnc, arg)]
            if isinstance(func, Aggregate) and hasattr(func, 'dropped'):
                stmts.append(func.drop())

        for (sch, fnc, arg) in list(self.keys()):
            func = self[(sch, fnc, arg)]
            if hasattr(func, 'dropped') and not hasattr(func, '_dep_type'):
                stmts.append(func.drop())

        return stmts

# -*- coding: utf-8 -*- pyrseas.function     ~~~~~~~~~~~~~~~~      This module defines four classes: Proc derived from     DbSchemaObject, Function and Aggregate derived from Proc, and     FunctionDict derived from DbObjectDict. A procedure such as a FUNCTION or an AGGREGATE Return the key to be used in external maps for this function          :return: string Return a full identifier for a function object          :return: string A procedural language function Convert a function to a YAML-suitable format          :return: dictionary Return SQL statements to CREATE or REPLACE the function          :param newsrc: new source for a changed function         :return: SQL statements Generate SQL to transform an existing function          :param infunction: a YAML map defining the new function         :return: list of SQL statements          Compares the function to an input function and generates SQL         statements to transform it into the one represented by the         input. An aggregate function Convert an agggregate to a YAML-suitable format          :return: dictionary Return SQL statements to CREATE the aggregate          :return: SQL statements SELECT nspname AS schema, proname AS name,                   pg_get_function_arguments(p.oid) AS arguments,                   pg_get_function_result(p.oid) AS returns,                   l.lanname AS language, provolatile AS volatility,                   proisstrict AS strict, proisagg, prosrc AS source,                   probin::text AS obj_file,                   prosecdef AS security_definer, procost AS cost,                   aggtransfn::regprocedure AS sfunc,                   aggtranstype::regtype AS stype,                   aggfinalfn::regprocedure AS finalfunc,                   agginitval AS initcond, aggsortop::regoper AS sortop,                   obj_description(p.oid, 'pg_proc') AS description,                   prorows::integer AS rows            FROM pg_proc p                 JOIN pg_namespace n ON (pronamespace = n.oid)                 JOIN pg_language l ON (prolang = l.oid)                 LEFT JOIN pg_aggregate a ON (p.oid = aggfnoid)            WHERE (nspname != 'pg_catalog' AND nspname != 'information_schema')              AND p.oid NOT IN (                  SELECT objid FROM pg_depend WHERE deptype = 'e'                               AND classid = 'pg_proc'::regclass)            ORDER BY nspname, proname Initialize the dictionary of procedures by querying the catalogs Initalize the dictionary of functions by converting the input map          :param schema: schema owning the functions         :param infuncs: YAML map defining the functions Generate SQL to transform existing functions          :param infuncs: a YAML map defining the new functions         :return: list of SQL statements          Compares the existing function definitions, as fetched from         the catalogs, to the input map and generates SQL statements to         transform the functions accordingly. # check input functions # does it exist in the database? # create new function # check function objects # check input aggregates # does it exist in the database? # create new function # check function objects # check existing functions # if missing, mark it for dropping Actually drop the functions          :return: SQL statements