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from pathlib import Path
from typing import List
from sqlalchemy import inspect, text
from sqlalchemy.engine import Engine
TABLES_DUMP_ALL = {
"task_sequence",
"entity_usage",
"entity_relationship",
"entity_extension",
"field_relationship",
"tag_usage",
}
NOT_MIGRATE = {"DATABASE_CHANGE_LOG"}
STATEMENT_JSON = "SELECT json FROM {table}"
STATEMENT_ALL = "SELECT * FROM {table}"
STATEMENT_TRUNCATE = "TRUNCATE TABLE {table};\n"
def clean_col(column_raw: str) -> str:
"""
Prepare the column to be inserted to MySQL
"""
return (
repr(str(column_raw)).replace('"', '\\"') if column_raw is not None else "null"
)
def dump_json(tables: List[str], engine: Engine, output: Path) -> None:
"""
Dumps JSON data
"""
with open(output, "a") as file:
for table in tables:
truncate = STATEMENT_TRUNCATE.format(table=table)
file.write(truncate)
res = engine.execute(text(STATEMENT_JSON.format(table=table))).all()
for row in res:
insert = "INSERT INTO {table} (json) VALUES ({data});\n".format(
table=table, data=clean_col(row.json)
)
file.write(insert)
def dump_all(tables: List[str], engine: Engine, output: Path) -> None:
"""
Dump tables that need to store all data
"""
with open(output, "a") as file:
for table in tables:
truncate = STATEMENT_TRUNCATE.format(table=table)
file.write(truncate)
res = engine.execute(text(STATEMENT_ALL.format(table=table))).all()
for row in res:
insert = "INSERT INTO {table} VALUES ({data});\n".format(
table=table, data=",".join(clean_col(col) for col in row)
)
file.write(insert)
def dump(engine: Engine, output: Path, schema: str = None) -> None:
"""
Get all tables from the database and dump
only the JSON column for the required tables
"""
inspector = inspect(engine)
tables = (
inspector.get_table_names(schema) if schema else inspector.get_table_names()
)
dump_json_tables = [
table
for table in tables
if table not in TABLES_DUMP_ALL and table not in NOT_MIGRATE
]
dump_all(tables=list(TABLES_DUMP_ALL), engine=engine, output=output)
dump_json(tables=dump_json_tables, engine=engine, output=output)