renaming in docs and test with Insert task

README.md

@@ -30,12 +30,12 @@ The above code pulls data from the API to a pandas `DataFrame`.
 
 ## Loading Data to a Source
 
-For creating SQlite database and uploading table with data (pandas DataFrame as input) use LoadDF class.
+For creating SQlite database and uploading table with data (pandas DataFrame as input) use Insert class.
 
 ```python
-from viadot.tasks.sqlite_tasks import LoadDF
-table = LoadDF()
-table.run(table_name=TABLE_NAME, dtypes=dtypes, db_path=database_path, df=df, if_exists="replace")
+from viadot.tasks.sqlite_tasks import Insert
+insert = Insert()
+insert.run(table_name=TABLE_NAME, dtypes=dtypes, db_path=database_path, df=df, if_exists="replace")
 ```
 
 

docs/howtos/run_sql.md

@@ -1,10 +1,10 @@
 ## Loading Data to a Source
 
-For getting pandas DataFrame from sql query use RunSQL class.
+For getting pandas DataFrame from sql query use SQLtoDF class.
 Get path to database and sql file as an arguments.
 
 ```python
-from viadot.tasks.sqlite_tasks import RunSQL
-runsql = RunSQL(db_path=database_path, sql_path=sql_path)
-df_from_task = runsql.run()
+from viadot.tasks.sqlite_tasks import SQLtoDF
+sql = SQLtoDF(db_path=database_path, sql_path=sql_path)
+df_from_task = sql.run()
 ```

tests/prefect/test_tasks_sqlite.py

@@ -15,7 +15,7 @@ def load_table():
 
 def test_create_table_from_df(load_table):
     dtypes = {"country": "VARCHAR(100)", "sales": "FLOAT(24)"}
-    data = pd.DataFrame({"country": 'italy', "sales": 100.})
+    df_data = pd.DataFrame({"country": ['italy'], "sales": [100.]})
     load = load_table.run(table_name=TABLE,
                    schema=None,
                    dtypes=dtypes,