_dbi_oracle - Private database interface for Oracle

Purpose:

This module contains the library's Oracle database methods and attribute accessors; which are a specialised version of the _dbi_base._DBIBase class methods.

Platform:

Linux/Windows | Python 3.10+

Developer:

J Berendt

Email:

support@s3dev.uk

Comments:

n/a

Example:

For class-specific usage examples, please refer to the docstring for the following classes:

class _dbi_oracle._DBIOracle(connstr: str)[source]

Bases: _DBIBase

This private class holds the methods and properties which are used for accessing Oracle databases.

Note

This class is not designed to be interacted with directly.

Rather, please use the database.DBInterface class instead, as the proper interface class has an automatic switch for database interfaces, based on the sqlalchemy.Engine object which is created from the connection string.

Parameters:

connstr (str) -- The database-specific SQLAlchemy connection string.

Example Use:

This low-level generalised class is designed to be inherited by the calling/wrapping class as:

>>> from dblib.database import DBInterface

class MyDB(DBInterface):

    def __init__(self, connstr: str):
        super().__init__(connstr=('oracle+cx_oracle://'
                                  '<user>:<pwd>'
                                  '@(DESCRIPTION=(ADDRESS='
                                  '(PROTOCOL=TCP)'
                                  '(HOST=<host>)'
                                  '(PORT=<port>))'
                                  '(CONNECT_DATA='
                                  '(SERVICE_NAME=<svcname>)))'))
_ERROR_NI = 'Due to restrictions on the development environment, this method is currently not implemented.'
_PREFIX = '\n[DatabaseError]:'
__annotations__ = {}
__init__(connstr: str)

Class initialiser.

_create_engine() sqlalchemy.engine.base.Engine

Create a database engine using the provided environment.

Returns:

A sqlalchemy database engine object.

Return type:

sqlalchemy.engine.base.Engine

static _is_dangerous(stmt: str) bool

Perform a dirty security check for injection attempts.

Parameters:

stmt (str) -- SQL statement to be potentially executed.

Raises:

SecurityWarning -- If there are multiple semi-colons (;) in the statement, or any comment delimiters (--).

Returns:

False if the checks pass.

Return type:

bool

_report_cxo_error(msg: str, error: cx_Oracle.DatabaseError)[source]

Report cx_Oracle error to the terminal.

Parameters:
  • msg (str) -- Additional error to be displayed. This message will be automatically prefixed with '[DatabaseError]: '

  • error (cx_Oracle.DatabaseError) -- Caught error object from the try/except block.

_report_sa_error(msg: str, error: sqlalchemy.exc.SQLAlchemyError)

Report SQLAlchemy error to the terminal.

Parameters:
  • msg (str) -- Additional error to be displayed. This message will be automatically prefixed with '[DatabaseError]: '

  • error (sqlalchemy.exc.SQLAlchemyError) -- Caught error object from the try/except block.

static _result_to_df__cursor(result: sqlalchemy.engine.cursor.CursorResult) DataFrame

Convert a CursorResult object to a DataFrame.

If the cursor did not return results, an empty DataFrame containing the column names only, is returned.

Parameters:

result (sqlalchemy.engine.cursor.CursorResult) -- Object to be converted.

Returns:

A pandas.DataFrame object containing the cursor's data.

Return type:

pd.DataFrame

static _result_to_df__refcursor(refcur: cx_Oracle.Cursor) DataFrame[source]

Convert a cx_Oracle.Cursor object to a DataFrame.

If the cursor did not return results, an empty DataFrame containing the column names only, is returned.

Parameters:

refcur (cx_Oracle.Cursor) -- Object to be converted.

Returns:

A pandas.DataFrame object containing the cursor's data.

Return type:

pd.DataFrame

static _result_to_df__stored(result: object) DataFrame

Convert a MySQLCursor.stored_results object to a DataFrame.

Parameters:
  • result (object) -- The cursor.stored_results() object from

  • call. (a sqlalchemy or mysql.connector procedure)

Returns:

A DataFrame containing the results from the procedure call.

Return type:

pd.DataFrame

call_procedure(proc: str, params: list | tuple = None, return_status: bool = False) DataFrame | tuple[DataFrame | bool][source]

Call a stored procedure, and return as a DataFrame.

Parameters:
  • proc (str) -- Name of the stored procedure to call.

  • params (list | tuple, optional) -- A list (or tuple) of parameters to pass into the procedure. Defaults to None.

  • return_status (bool, optional) -- Return the method's success status. Defaults to False.

Returns:

If the return_status argument is True, a tuple of the data and the method's return status is returned as:

(df, status)

Otherwise, only the data is returned, as a pd.DataFrame.

Return type:

pd.DataFrame | tuple[pd.DataFrame | bool]

call_procedure_update()[source]

Call an update or insert stored procedure.

Warning

Due to the restrictions on the Oracle development environment, database UPDATE-like methods are not allowed. Therefore, this method is currently not implemented.

Raises:
  • NotImplementedError -- Warn the user that this method is

  • currently not implemented. --

call_procedure_update_many()[source]

Call an update or insert stored procedure for an iterable.

Warning

Due to the restrictions on the Oracle development environment, database UPDATE-like methods are not allowed. Therefore, this method is currently not implemented.

Raises:
  • NotImplementedError -- Warn the user that this method is

  • currently not implemented. --

call_procedure_update_raw()[source]

Call an update or insert stored procedure, without error handling.

Warning

Due to the restrictions on the Oracle development environment, database UPDATE-like methods are not allowed. Therefore, this method is currently not implemented.

Raises:
  • NotImplementedError -- Warn the user that this method is

  • currently not implemented. --

property database_name

Accessor to the database name used by the engine object.

property engine

Accessor to the sqlalchemy.engine.base.Engine object.

execute_query(stmt: str, params: dict = None, raw: bool = True) list | DataFrame | None

Execute a query statement.

Important

The following are not allowed to be executed by this method:

  • Statements containing multiple semi-colons (;).

  • Statements containing a comment delimiter (--).

If found, a SecurityWarning will be raised by the _is_dangerous() method.

Parameters:
  • stmt (str) -- Statement to be executed. The parameter bindings are to be written in colon format.

  • params (dict, optional) -- Parameter key/value bindings as a dictionary, if applicable. Defaults to None.

  • raw (bool, optional) -- Return the data in 'raw' (tuple) format rather than as a formatted DataFrame. Defaults to True for efficiency.

If the query did not return results and the raw argument is False, an empty DataFrame containing the column names only, is returned.

Note

In the SQL query, the bind parameters are specified by name, using the format :bind_name. The params dictionary argument must contain the associated parameter name/value bindings.

Warning

  1. Generally, whatever statement is passed into this method will be executed, and may have destructive implications.

  2. This method contains a commit call.

If a statement is passed into this method, and the user has the appropriate permissions - the change will be committed.

... HC SVNT DRACONES.

Returns:

If the raw parameter is True, a list of tuples containing values is returned. Otherwise, a pandas.DataFrame object containing the returned data is returned.

If this method is called with a script which does not return results, for example a CREATE script, None is returned; regardless of the value passed to the raw parameter.

Return type:

list | pd.DataFrame | None

table_exists(table_name: str, verbose: bool = False) bool[source]

Using the engine object, test if the given table exists.

Parameters:
  • table_name (str) -- Name of the table to test.

  • verbose (bool, optional) -- Print a message if the table does not exist. Defaults to False.

Note

As most Oracle objects are UPPERCASE, the table name is converted to upper case before being passed into the query.

Returns:

True if the given table exists, otherwise False.

Return type:

bool