SQLite API wrapped into a class with automatic DB schema initialisation and PRAGMA execution upon connection
SQLite Class wrapper with auto-initialisation of empty DB and PRAGMAs
SQLiteDb class wrapping the operations from the
providing better support for the
with operator and automatic
initialisation of an empty DB upon first creation of the DB
and setting of the per-connection pragmas.
Additional wrappers are available as a utility, including
extraction of a list of tables, extraction of the list of columns
SELECT query, commit, rollback, start of a transaction,
check if the DB is in memory and if it's empty. Executions of SQL script
files is also made easy.
import sqlitecls with sqlitecls.SqliteDb('mydata.db', 'mydbschema.sql', 'mypragmas.sql') as db: # Now the DB connection is established. If the DB did not exist before, # its schema is initialised by running the 'mydbschema.sql' script, # preparing it for whatever your application has to do. # # The 'mypragmas.sql' script is also run EVERY time a connection is # opened or re-opened, to ensure each connection to the same file has # the correct per-connection PRAGMA settings. # For example, imagine we have `PRAGMA synchronous = 3;` in the script assert db.pragma('synchronous') == 3 # You can easily check which tables are available tables = db.tables_names() # and what columns they have columns = db.columns_names('some_table') # Otherwise use as any other DB API from now on cursor = db.execute('SELECT * FROM mytable') # Simplified extraction of the column names from the SELECT query columns = sqlitecls.cursor_column_names(cursor) # Use as any other DB API from now on for row in cursor: pass # Do something with each row db.connection, db.cursor # Accessible for custom operations # More utility functions! db.start_transaction() db.commit() db.rollback() db.vacuum() db.size_bytes() db.is_in_memory() # Have existing SQL script files? Just run them as they are! db.execute_sql_file('myotherfile.sql') # Load WHOLE file in memory # Connection automatically closed now
pip install SQLteCls
or just include the
sqlitecls.py file in your project (copy-paste).
It's self-contained and has no dependencies other than the standard
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