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from configparser import ConfigParser |
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from typing import Any, Dict, Optional |
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from pystratum_backend.StratumStyle import StratumStyle |
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from pystratum_common.backend.CommonRoutineLoaderWorker import CommonRoutineLoaderWorker |
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from pystratum_mssql.backend.MsSqlWorker import MsSqlWorker |
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from pystratum_mssql.helper.MsSqlRoutineLoaderHelper import MsSqlRoutineLoaderHelper |
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class MsSqlRoutineLoaderWorker(MsSqlWorker, CommonRoutineLoaderWorker): |
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""" |
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Class for loading stored routines into a SQL Server instance from pseudo SQL files. |
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""" |
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# ------------------------------------------------------------------------------------------------------------------ |
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def __init__(self, io: StratumStyle, config: ConfigParser): |
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""" |
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Object constructor. |
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:param PyStratumStyle io: The output decorator. |
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""" |
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MsSqlWorker.__init__(self, io, config) |
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CommonRoutineLoaderWorker.__init__(self, io, config) |
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# ------------------------------------------------------------------------------------------------------------------ |
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def _get_column_type(self) -> None: |
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""" |
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Selects schema, table, column names and the column types from the SQL Server instance and saves them as replace |
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pairs. |
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""" |
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rows = self._dl.get_all_table_columns() |
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for row in rows: |
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key = '@{0}.{1}.{2}%type@'.format(row['schema_name'], row['table_name'], row['column_name']) |
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key = key.lower() |
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value = self._derive_data_type(row) |
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self._replace_pairs[key] = value |
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self._io.text('Selected {0} column types for substitution'.format(len(rows))) |
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# ------------------------------------------------------------------------------------------------------------------ |
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def create_routine_loader_helper(self, |
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routine_name: str, |
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pystratum_old_metadata: Optional[Dict], |
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rdbms_old_metadata: Optional[Dict]) -> MsSqlRoutineLoaderHelper: |
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""" |
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Creates a Routine Loader Helper object. |
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:param str routine_name: The name of the routine. |
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:param dict pystratum_old_metadata: The old metadata of the stored routine from PyStratum. |
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:param dict rdbms_old_metadata: The old metadata of the stored routine from MS SQL Server. |
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:rtype: MsSqlRoutineLoaderHelper |
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""" |
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return MsSqlRoutineLoaderHelper(self._io, |
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self._dl, |
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self._source_file_names[routine_name], |
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self._source_file_encoding, |
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pystratum_old_metadata, |
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self._replace_pairs, |
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rdbms_old_metadata) |
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# ------------------------------------------------------------------------------------------------------------------ |
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def _get_old_stored_routine_info(self) -> None: |
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""" |
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Retrieves information about all stored routines. |
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""" |
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rows = self._dl.get_routines() |
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self._rdbms_old_metadata = {} |
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for row in rows: |
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self._rdbms_old_metadata[row['schema_name'] + '.' + row['routine_name']] = row |
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# ------------------------------------------------------------------------------------------------------------------ |
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def _drop_obsolete_routines(self) -> None: |
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""" |
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Drops obsolete stored routines (i.e. stored routines that exits but for which we don't have a source file). |
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""" |
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for routine_name, values in self._rdbms_old_metadata.items(): |
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if routine_name not in self._source_file_names: |
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if values['routine_type'].strip() == 'P': |
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routine_type = 'procedure' |
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elif values['routine_type'].strip() in ('FN', 'TF'): |
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routine_type = 'function' |
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else: |
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raise Exception("Unknown routine type '{0}'".format(values['routine_type'])) |
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self._io.writeln("Dropping {0} <dbo>{1}.{2}</dbo>".format(routine_type, |
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values['schema_name'], |
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values['routine_name'])) |
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self._dl.drop_stored_routine(routine_type, values['schema_name'], values['routine_name']) |
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# ------------------------------------------------------------------------------------------------------------------ |
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@staticmethod |
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def _derive_data_type(column: Dict[str, Any]) -> str: |
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""" |
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Returns the proper SQL declaration of a data type of a column. |
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:param dict column: The column of which the field is based. |
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:rtype: str |
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""" |
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data_type = column['data_type'] |
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if data_type in ['bigint', |
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'int', |
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'smallint', |
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'tinyint', |
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'bit', |
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'money', |
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'smallmoney', |
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'float', |
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'real', |
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'date', |
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'datetime', |
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'datetime2', |
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'datetimeoffset', |
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'smalldatetime', |
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'time', |
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'text', |
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'ntext', |
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'binary', |
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'image', |
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'xml', |
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'geography', |
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'geometry', |
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'sysname' |
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]: |
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return data_type |
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if data_type in ['decimal', 'numeric']: |
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return 'decimal({0:d},{1:d})'.format(column['precision'], column['scale']) |
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if data_type == 'char': |
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return 'char({0:d})'.format(column['max_length']) |
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if data_type == 'varchar': |
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if column['max_length'] == -1: |
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return 'varchar(max)' |
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return 'varchar({0:d})'.format(column['max_length']) |
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if data_type == 'nchar': |
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return 'nchar({0:d})'.format(int(column['max_length'] / 2)) |
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if data_type == 'nvarchar': |
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if column['max_length'] == -1: |
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return 'nvarchar(max)' |
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return 'nvarchar({0:d})'.format(int(column['max_length'] / 2)) |
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if data_type == 'varbinary': |
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return 'varbinary({0:d})'.format(column['max_length']) |
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raise Exception("Unexpected data type '{0}'".format(data_type)) |
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# ---------------------------------------------------------------------------------------------------------------------- |
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DatabaseStratum /
py-stratum-mssql
