Python expression.asc方法代碼示例

# 需要導入模塊: from sqlalchemy.sql import expression [as 別名]
# 或者: from sqlalchemy.sql.expression import asc [as 別名]
def apply(self, q, bindings, ordering, distinct=None):
        """ Sort on a set of field specifications of the type (ref, direction)
        in order of the submitted list. """
        info = []
        for (ref, direction) in self.parse(ordering):
            info.append((ref, direction))
            table, column = self.cube.model[ref].bind(self.cube)
            if distinct is not None and distinct != ref:
                column = asc(ref) if direction == 'asc' else desc(ref)
            else:
                column = column.label(column.name)
                column = column.asc() if direction == 'asc' else column.desc()
                bindings.append(Binding(table, ref))
            if self.cube.is_postgresql:
                column = column.nullslast()
            q = q.order_by(column)

        if not len(self.results):
            for column in q.columns:
                column = column.asc()
                if self.cube.is_postgresql:
                    column = column.nullslast()
                q = q.order_by(column)
        return info, q, bindings 

# 需要導入模塊: from sqlalchemy.sql import expression [as 別名]
# 或者: from sqlalchemy.sql.expression import asc [as 別名]
def status_detect(num_days, num_segments):
    repos = Repo.query.filter(Repo.status == 'unknown')
    for repo in repos:
        result = db.session.query(RepoStars.day, RepoStars.stars)\
            .filter(RepoStars.repo_id == repo.id)\
            .order_by(expression.asc(RepoStars.day))\
            .limit(num_days)\
            .all()

        val = 0 if not result else repo_mean(
            result, num_days, num_segments, last_known_mean(repo.id)
        )

        status_old = repo.status
        repo.status = 'hopeless' if val < 1 else 'promising'

        log.info(
            'Repository status of {0}({1}) has been changed to {2} (was: {3})'
            .format(repo.id, repo.full_name, repo.status, status_old)
        )

        db.session.merge(
            RepoMean(repo=repo, value=val, created_at=datetime.today().strftime('%Y-%m-%d'))
        )
        db.session.commit() 

# 需要導入模塊: from sqlalchemy.sql import expression [as 別名]
# 或者: from sqlalchemy.sql.expression import asc [as 別名]
def order(self, ast):
        if isinstance(ast, six.string_types):
            ref, direction = ast, 'asc'
        else:
            ref, direction = ast[0], ast[2]
        if ref not in self.cube.model:
            raise QueryException('Invalid sorting criterion: %r' % ast)
        self.results.append((ref, direction)) 

# 需要導入模塊: from sqlalchemy.sql import expression [as 別名]
# 或者: from sqlalchemy.sql.expression import asc [as 別名]
def get_pk_constraint(self, connection, table_name, schema=None, **kw):
        """
        Override
        TODO: Check if we need PRIMARY Indices or PRIMARY KEY Indices
        TODO: Check for border cases (No PK Indices)
        """

        if schema is None:
            schema = self.default_schema_name

        stmt = select([column('ColumnName'), column('IndexName')],
                      from_obj=[text('dbc.Indices')]).where(
                          and_(text('DatabaseName = :schema'),
                              text('TableName=:table'),
                              text('IndexType=:indextype'))
                      ).order_by(asc(column('IndexNumber')))

        # K for Primary Key
        res = connection.execute(stmt, schema=schema, table=table_name, indextype='K').fetchall()

        index_columns = list()
        index_name = None

        for index_column in res:
            index_columns.append(self.normalize_name(index_column['ColumnName']))
            index_name = self.normalize_name(index_column['IndexName']) # There should be just one IndexName

        return {
            "constrained_columns": index_columns,
            "name": index_name
        } 

# 需要導入模塊: from sqlalchemy.sql import expression [as 別名]
# 或者: from sqlalchemy.sql.expression import asc [as 別名]
def get_unique_constraints(self, connection, table_name, schema=None, **kw):
        """
        Overrides base class method
        """
        if schema is None:
            schema = self.default_schema_name

        stmt = select([column('ColumnName'), column('IndexName')], from_obj=[text('dbc.Indices')]) \
            .where(and_(text('DatabaseName = :schema'),
                        text('TableName=:table'),
                        text('IndexType=:indextype'))) \
            .order_by(asc(column('IndexName')))

        # U for Unique
        res = connection.execute(stmt, schema=schema, table=table_name, indextype='U').fetchall()

        def grouper(fk_row):
            return {
                'name': self.normalize_name(fk_row['IndexName']),
            }

        unique_constraints = list()
        for constraint_info, constraint_cols in groupby(res, grouper):
            unique_constraint = {
                'name': self.normalize_name(constraint_info['name']),
                'column_names': list()
            }

            for constraint_col in constraint_cols:
                unique_constraint['column_names'].append(self.normalize_name(constraint_col['ColumnName']))

            unique_constraints.append(unique_constraint)

        return unique_constraints 

# 需要導入模塊: from sqlalchemy.sql import expression [as 別名]
# 或者: from sqlalchemy.sql.expression import asc [as 別名]
def get_indexes(self, connection, table_name, schema=None, **kw):
        """
        Overrides base class method
        """

        if schema is None:
            schema = self.default_schema_name

        stmt = select(["*"], from_obj=[text('dbc.Indices')]) \
            .where(and_(text('DatabaseName = :schema'),
                        text('TableName=:table'))) \
            .order_by(asc(column('IndexName')))

        res = connection.execute(stmt, schema=schema, table=table_name).fetchall()

        def grouper(fk_row):
            return {
                'name': fk_row.IndexName or fk_row.IndexNumber, # If IndexName is None TODO: Check what to do
                'unique': True if fk_row.UniqueFlag == 'Y' else False
            }

        # TODO: Check if there's a better way
        indices = list()
        for index_info, index_cols in groupby(res, grouper):
            index_dict = {
                'name': index_info['name'],
                'column_names': list(),
                'unique': index_info['unique']
            }

            for index_col in index_cols:
                index_dict['column_names'].append(self.normalize_name(index_col['ColumnName']))

            indices.append(index_dict)

        return indices 

# 需要導入模塊: from sqlalchemy.sql import expression [as 別名]
# 或者: from sqlalchemy.sql.expression import asc [as 別名]
def __query__(self):
        if self.order == self.DESCENDANT:
            query = desc(self.attribute)
        elif self.order == self.ASCENDANT:
            query = asc(self.attribute)
        return query 

# 需要導入模塊: from sqlalchemy.sql import expression [as 別名]
# 或者: from sqlalchemy.sql.expression import asc [as 別名]
def release_waiting_requests_fifo(rse_id, activity=None, count=None, account=None, direction='destination', session=None):
    """
    Release waiting requests. Transfer requests that were requested first, get released first (FIFO).

    :param rse_id:           The RSE id.
    :param activity:         The activity.
    :param count:            The count to be released.
    :param account:          The account name whose requests to release.
    :param direction:        Direction if requests are grouped by source RSE or destination RSE.
    :param session:          The database session.
    """

    dialect = session.bind.dialect.name
    rowcount = 0
    if dialect == 'mysql':
        subquery = session.query(models.Request.id)\
                          .filter(models.Request.state == RequestState.WAITING)\
                          .order_by(asc(models.Request.requested_at))
        if direction == 'destination':
            subquery = subquery.filter(models.Request.dest_rse_id == rse_id)
        elif direction == 'source':
            subquery = subquery.filter(models.Request.source_rse_id == rse_id)

        if activity:
            subquery = subquery.filter(models.Request.activity == activity)
        if account:
            subquery = subquery.filter(models.Request.account == account)
        subquery = subquery.limit(count).subquery()

        # join because IN and LIMIT cannot be used together
        subquery = session.query(models.Request.id)\
                          .join(subquery, models.Request.id == subquery.c.id).subquery()
        # wrap select to update and select from the same table
        subquery = session.query(subquery.c.id).subquery()
        rowcount = session.query(models.Request)\
                          .filter(models.Request.id.in_(subquery))\
                          .update({'state': RequestState.QUEUED},
                                  synchronize_session=False)
    else:
        subquery = session.query(models.Request.id)\
                          .filter(models.Request.state == RequestState.WAITING)
        if direction == 'destination':
            subquery = subquery.filter(models.Request.dest_rse_id == rse_id)
        elif direction == 'source':
            subquery = subquery.filter(models.Request.source_rse_id == rse_id)

        if activity:
            subquery = subquery.filter(models.Request.activity == activity)
        if account:
            subquery = subquery.filter(models.Request.account == account)

        subquery = subquery.order_by(asc(models.Request.requested_at))\
                           .limit(count)
        rowcount = session.query(models.Request)\
                          .filter(models.Request.id.in_(subquery))\
                          .update({'state': RequestState.QUEUED},
                                  synchronize_session=False)
    return rowcount 

# 需要導入模塊: from sqlalchemy.sql import expression [as 別名]
# 或者: from sqlalchemy.sql.expression import asc [as 別名]
def get_foreign_keys(self, connection, table_name, schema=None, **kw):
        """
        Overrides base class method
        """

        if schema is None:
            schema = self.default_schema_name

        stmt = select([column('IndexID'), column('IndexName'), column('ChildKeyColumn'), column('ParentDB'),
                       column('ParentTable'), column('ParentKeyColumn')],
                      from_obj=[text('DBC.All_RI_ChildrenV')]) \
            .where(and_(text('ChildTable = :table'),
                        text('ChildDB = :schema'))) \
            .order_by(asc(column('IndexID')))

        res = connection.execute(stmt, schema=schema, table=table_name).fetchall()

        def grouper(fk_row):
            return {
                'name': fk_row.IndexName or fk_row.IndexID, #ID if IndexName is None
                'schema': fk_row.ParentDB,
                'table': fk_row.ParentTable
            }

        # TODO: Check if there's a better way
        fk_dicts = list()
        for constraint_info, constraint_cols in groupby(res, grouper):
            fk_dict = {
                'name': constraint_info['name'],
                'constrained_columns': list(),
                'referred_table': constraint_info['table'],
                'referred_schema': constraint_info['schema'],
                'referred_columns': list()
            }

            for constraint_col in constraint_cols:
                fk_dict['constrained_columns'].append(self.normalize_name(constraint_col['ChildKeyColumn']))
                fk_dict['referred_columns'].append(self.normalize_name(constraint_col['ParentKeyColumn']))

            fk_dicts.append(fk_dict)

        return fk_dicts