def test_appending_data_when_database_not_created(self):
newtablename = 'notImportant'
db = SQHelper('/usr/test_db.sql') # Bad db name
data = [123456]
inserted = db.insert(newtablename, data)
self.assertIs(inserted, False)
class SQHelperTesting(unittest.TestCase):
def setUp(self):
self.db = SQHelper(test_db_name)
pass
def tearDown(self):
try:
os.remove(test_db_name)
except Exception as e:
print("No database file was removed, exception {}".format(e))
def test_creating_database_and_test_if_exits_good_name(self):
exists = self.db.exists()
self.assertIs(exists, True)
def test_creating_database_and_test_if_exits_bad_name_database_already_exists(
self):
db = SQHelper('tests') # Same name as tests directory
exists = db.exists()
self.assertIs(exists, False)
def test_creating_database_and_test_if_exits_bad_permissions(self):
db = SQHelper('/usr/test_db.sql')
exists = db.exists()
self.assertIs(exists, False)
def test_creating_database_and_test_if_exits_in_nested_directory(self):
db = SQHelper('non/existant/directory/db_name.sql')
exists = db.exists()
self.assertIs(exists, False)
def test_creating_a_new_table_with_columns_no_datatypes_string_column_input_good_format(
self):
tablename = 'test_table'
columns = "column1, column2, column3"
self.db.create_table(tablename, columns)
# Check for correct table name
tableTuples = self.db.con.cursor().execute(
"SELECT name FROM sqlite_master WHERE type = 'table'").fetchall()
self.assertEqual(len(tableTuples), 1)
self.assertEqual(tableTuples[0][0], tablename)
# Check for correct column names in table
tableColumns = self.db.con.cursor().execute(
"PRAGMA table_info({})".format(tablename)).fetchall()
expectedColumns = columns.split(', ')
self.assertEqual(len(tableColumns), len(expectedColumns))
for i in range(len(expectedColumns)):
self.assertEqual(tableColumns[i][1], expectedColumns[i])
return tablename, columns
def test_creating_a_new_table_with_columns_with_dictionary_well_formed(
self):
tablename = 'test_table'
columns = {'timestamp': 'INTEGER', 'value': 'REAL', 'comment': 'TEXT'}
self.db.create_table(tablename, columns)
# Check for correct column names in table
tableColumns = self.db.con.cursor().execute(
"PRAGMA table_info({})".format(tablename)).fetchall()
expectedColumns = [key for key in sorted(columns.keys())]
self.assertEqual(len(tableColumns), len(expectedColumns))
for i in range(len(expectedColumns)):
self.assertEqual(tableColumns[i][1], expectedColumns[i])
def test_creating_a_new_table_which_already_exists_doesnt_overwrite_it(
self):
# Create a table
tablename, columns = self.test_creating_a_new_table_with_columns_no_datatypes_string_column_input_good_format(
)
new_columns = "newColumn1"
# Recreate same table with different names
self.db.create_table(tablename, new_columns)
# Check for correct table name
tableTuples = self.db.con.cursor().execute(
"SELECT name FROM sqlite_master WHERE type = 'table'").fetchall()
self.assertEqual(len(tableTuples), 1)
self.assertEqual(tableTuples[0][0], tablename)
# Check for correct column names in table
tableColumns = self.db.con.cursor().execute(
"PRAGMA table_info({})".format(tablename)).fetchall()
expectedColumns = columns.split(', ')
self.assertEqual(len(tableColumns), len(expectedColumns))
for i in range(len(expectedColumns)):
self.assertEqual(tableColumns[i][1], expectedColumns[i])
def test_creating_a_new_table_with_columns_no_datatypes_string_column_input_bad_format(
self):
tablename = 'test_table'
columns = "columns1, CREATE, column2"
self.db.create_table(tablename, columns)
tableColumns = self.db.con.cursor().execute(
"PRAGMA table_info({})".format(tablename)).fetchall()
self.assertEqual(len(tableColumns), 0) # No columns should be made
def test_try_to_make_table_if_database_is_not_setup(self):
db = SQHelper('/usr/test_db.sql') # Bad db name
tablename = 'test_table'
columns = "column1, column2, column3"
createdColumns = db.create_table(tablename, columns)
self.assertEqual(len(createdColumns), 0)
def test_create_table_with_bad_table_name(self):
tablename = '123test.table'
columns = "column1, column2, column3"
createdColumns = self.db.create_table(tablename, columns)
self.assertEqual(len(createdColumns), 0)
def test_creating_a_new_table_from_a_dataframe(self):
data = pd.DataFrame({
"timestamp": [123456, 1234567, 1234568, 1234569],
'value': [43.3, 53.3, 63.3, 83.3]
})
table_name = 'new_table'
columns = self.db.create_table(table_name, data)
tables = self.db.get_table_names()
contents = self.db.table_to_df(table_name)
self.assertEqual(tables, [table_name])
self.assertEqual(columns, ['timestamp', 'value'])
pd.testing.assert_frame_equal(data, contents)
def test_try_to_create_table_from_empty_dataframe(self):
data = pd.DataFrame()
table_name = 'new_table'
columns = self.db.create_table(table_name, data)
self.assertEqual(columns, [])
def test_getting_table_names_if_one_table_exists(self):
newtablename = 'test_table'
columns = "columns1, columns2, column2"
self.db.create_table(newtablename, columns)
tableNames = self.db.get_table_names()
self.assertEqual(tableNames[0], newtablename)
def test_getting_table_names_if_more_than_one_table_exists(self):
newtablename = 'test_table'
newtablename_2 = 'test_table_2'
tableList = [newtablename, newtablename_2]
columns = "columns1, columns2, column2"
self.db.create_table(newtablename, columns)
self.db.create_table(newtablename_2, columns)
tableNames = self.db.get_table_names()
self.assertEqual(tableNames, tableList)
def test_getting_table_names_if_no_tables_exist(self):
tableNames = self.db.get_table_names()
self.assertEqual(tableNames, [])
def test_getting_table_names_if_no_database_exists(self):
db = SQHelper('/usr/test_db.sql') # Bad db name
tableNames = db.get_table_names()
self.assertEqual(tableNames, [])
def test_getting_columns_names_with_one_column(self):
newtablename = 'test_table'
columns = "columns1"
expectedColumns = columns.split(', ')
self.db.create_table(newtablename, columns)
columnNames = self.db.get_column_names(newtablename)
self.assertEqual(columnNames, expectedColumns)
def test_getting_columns_names_with_multiple_columns(self):
newtablename = 'test_table'
columns = "columns1, columns2, columns3"
expectedColumns = columns.split(', ')
self.db.create_table(newtablename, columns)
columnNames = self.db.get_column_names(newtablename)
self.assertEqual(columnNames, expectedColumns)
def test_getting_columns_names_with_multiple_tables(self):
newtablename = 'test_table'
newtablename2 = 'test_table2'
columns = "columns1, columns2, columns3"
expectedColumns = columns.split(', ')
self.db.create_table(newtablename, columns)
self.db.create_table(newtablename2, columns)
columnNames = self.db.get_column_names(newtablename2)
self.assertEqual(columnNames, expectedColumns)
def test_getting_columns_names_table_name_which_doesnt_exist(self):
newtablename = 'test_table'
columns = "columns1"
self.db.create_table(newtablename, columns)
columnNames = self.db.get_column_names("not_a_table_name")
self.assertEqual([], columnNames)
def test_getting_columns_names_table_name_which_is_illeagle(self):
newtablename = 'test_table'
columns = "columns1"
self.db.create_table(newtablename, columns)
columnNames = self.db.get_column_names("re.sd-s")
self.assertEqual([], columnNames)
def test_getting_columns_names_with_no_database_created(self):
db = SQHelper('/usr/test_db.sql') # Bad db name
columns = db.get_column_names('some_table')
self.assertEqual(columns, [])
def test_removing_a_table_which_was_created_actually_removes_it(self):
newtablename = 'test_table'
columns = "columns1, columns2"
self.db.create_table(newtablename, columns)
removed = self.db.remove_table(newtablename)
self.assertIs(removed, True)
self.assertEqual([], self.db.get_table_names())
def test_removing_a_table_which_was_not_created_has_no_effect(self):
newtablename = 'test_table'
columns = "columns1, columns2"
self.db.create_table(newtablename, columns)
removed = self.db.remove_table("not_a_table_name")
self.assertIs(removed, False)
self.assertEqual([newtablename], self.db.get_table_names())
def test_removing_a_table_with_no_database_created_does_nothing(self):
db = SQHelper('/usr/test_db.sql') # Bad db name
removed = db.remove_table('some_name')
self.assertIs(removed, False)
def test_inserting_row_with_multiple_columns_passed_data_is_list(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
data = [123456, 43.3]
inserted = self.db.insert(newtablename, data)
insertedData = self.db.con.cursor().execute(
"SELECT * FROM {} ORDER BY timestamp DESC LIMIT 1".format(
newtablename)).fetchone()
self.assertIs(inserted, True)
self.assertEqual(tuple(data), insertedData)
def test_inserting_row_with_many_columns_passed_data_is_list(self):
newtablename = 'test_table'
columns = ["column_{}".format(i) for i in range(100)]
columns.append("timestamp")
columns = ",".join(columns)
data = [i for i in range(101)]
self.db.create_table(newtablename, columns)
inserted = self.db.insert(newtablename, data)
insertedData = self.db.con.cursor().execute(
"SELECT * FROM {} ORDER BY timestamp DESC LIMIT 1".format(
newtablename)).fetchone()
self.assertIs(inserted, True)
self.assertEqual(tuple(data), insertedData)
def test_inserting_row_with_one_columns_passed_data_is_list(self):
newtablename = 'test_table'
columns = "timestamp"
self.db.create_table(newtablename, columns)
data = [123456]
inserted = self.db.insert(newtablename, data)
insertedData = self.db.con.cursor().execute(
"SELECT * FROM {} ORDER BY timestamp DESC LIMIT 1".format(
newtablename)).fetchone()
self.assertIs(inserted, True)
self.assertEqual(tuple(data), insertedData)
def test_inserting_row_with_one_columns_passed_data_is_dict(self):
newtablename = 'test_table'
columns = {"timestamp": "INTEGER"}
self.db.create_table(newtablename, columns)
data = {"timestamp": 123456}
inserted = self.db.insert(newtablename, data)
insertedData = self.db.con.cursor().execute(
"SELECT * FROM {} ORDER BY timestamp DESC LIMIT 1".format(
newtablename)).fetchone()
self.assertIs(inserted, True)
self.assertEqual(data['timestamp'], insertedData[0])
def test_inserting_row_with_multiple_columns_passed_data_is_dict(self):
newtablename = 'test_table'
columns = {"timestamp": "INTEGER", 'value': 'REAL'}
self.db.create_table(newtablename, columns)
data = {"timestamp": 123456, 'value': 12.2}
inserted = self.db.insert(newtablename, data)
insertedData = self.db.con.cursor().execute(
"SELECT * FROM {} ORDER BY timestamp DESC LIMIT 1".format(
newtablename)).fetchone()
self.assertIs(inserted, True)
self.assertEqual(data['timestamp'], insertedData[0])
self.assertEqual(data['value'], insertedData[1])
def test_inserting_row_with_multiple_columns_passed_data_is_dict_out_of_order(
self):
newtablename = 'test_table'
columns = {"timestamp": "INTEGER", 'value': 'REAL'}
self.db.create_table(newtablename, columns)
data = {"value": 12.2, "timestamp": 123456}
inserted = self.db.insert(newtablename, data)
insertedData = self.db.con.cursor().execute(
"SELECT * FROM {} ORDER BY timestamp DESC LIMIT 1".format(
newtablename)).fetchone()
self.assertIs(inserted, True)
self.assertEqual(data['timestamp'], insertedData[0])
self.assertEqual(data['value'], insertedData[1])
def test_inserting_row_with_multiple_columns_passed_data_is_dict_bad_key_for_column(
self):
newtablename = 'test_table'
columns = {"timestamp": "INTEGER", 'value': 'REAL'}
self.db.create_table(newtablename, columns)
data = {"timestamp": 123456, 'badKey': 12.2}
inserted = self.db.insert(newtablename, data)
self.assertIs(inserted, False)
def test_inserting_row_with_multiple_columns_passed_data_is_dict_of_wrong_length(
self):
newtablename = 'test_table'
columns = {"timestamp": "INTEGER"}
self.db.create_table(newtablename, columns)
data = {"timestamp": 123456, 'badKey': 12.2}
inserted = self.db.insert(newtablename, data)
self.assertIs(inserted, False)
def test_inserting_row_with_multiple_columns_passed_data_is_dataframe(
self):
newtablename = 'test_table'
columns = {"timestamp": "INTEGER", 'value': "REAL"}
self.db.create_table(newtablename, columns)
data = pd.DataFrame({
"timestamp": [123456, 1234567, 1234568, 1234569],
'value': [43.3, 53.3, 63.3, 83.3]
})
inserted = self.db.insert(newtablename, data)
read = self.db.table_to_df(newtablename)
self.assertIs(inserted, True)
pd.testing.assert_frame_equal(data, read)
def test_inserting_row_with_multiple_columns_passed_data_is_dataframe_out_of_order(
self):
newtablename = 'test_table'
columns = {"timestamp": "INTEGER", 'value': "REAL"}
self.db.create_table(newtablename, columns)
data = pd.DataFrame({
"value": [123456, 1234567, 1234568, 1234569],
'real': [43.3, 53.3, 63.3, 83.3]
})
inserted = self.db.insert(newtablename, data)
self.assertIs(inserted, False)
def test_inserting_row_with_multiple_columns_passed_data_is_dataframe_with_one_columns(
self):
newtablename = 'test_table'
columns = {"timestamp": "INTEGER"}
self.db.create_table(newtablename, columns)
data = pd.DataFrame({"timestamp": [123456, 1234567, 1234568, 1234569]})
inserted = self.db.insert(newtablename, data)
read = self.db.table_to_df(newtablename)
self.assertIs(inserted, True)
pd.testing.assert_frame_equal(data, read)
def test_inserting_row_with_multiple_columns_passed_data_is_dataframe_with_wrong_columns(
self):
newtablename = 'test_table'
columns = {"timestamp": "INTEGER", 'value': "REAL"}
self.db.create_table(newtablename, columns)
data = pd.DataFrame({
"timestamp": [123456, 1234567, 1234568, 1234569],
'wrong_column': [43.3, 53.3, 63.3, 83.3]
})
inserted = self.db.insert(newtablename, data)
self.assertIs(inserted, False)
def test_inserting_row_with_one_columns_passed_data_is_one_column_type_is_not_list(
self):
newtablename = 'test_table'
columns = "timestamp"
self.db.create_table(newtablename, columns)
data = 123456
inserted = self.db.insert(newtablename, data)
self.assertIs(inserted, False)
def test_inserting_data_of_length_which_doesnt_match_number_of_columns_in_table(
self):
newtablename = 'test_table'
columns = "timestamp,value"
self.db.create_table(newtablename, columns)
data = [123456]
inserted = self.db.insert(newtablename, data)
self.assertIs(inserted, False)
def test_inserting_data_into_table_which_hasnt_been_created(self):
data = [123456]
inserted = self.db.insert('invalid_table', data)
self.assertIs(inserted, False)
def test_appending_data_when_database_not_created(self):
newtablename = 'notImportant'
db = SQHelper('/usr/test_db.sql') # Bad db name
data = [123456]
inserted = db.insert(newtablename, data)
self.assertIs(inserted, False)
def test_print_a_table_with_a_signle_entry(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
data = [123456, 43.3]
self.db.insert(newtablename, data)
old_stdout = sys.stdout
sys.stdout = printOutput = StringIO()
self.db.print_table(newtablename)
sys.stdout = old_stdout
expectedOutput = ('\t\t'.join(
self.db.get_column_names(newtablename))) + '\n'
expectedOutput = expectedOutput + ('\t\t'.join(str(x) for x in data))
self.assertEqual(expectedOutput, printOutput.getvalue().strip('\n'))
def test_print_a_table_with_multiple_entries(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
data = [123456, 43.3]
self.db.insert(newtablename, data)
self.db.insert(newtablename, data)
old_stdout = sys.stdout
sys.stdout = printOutput = StringIO()
self.db.print_table(newtablename)
sys.stdout = old_stdout
expectedOutput = ('\t\t'.join(
self.db.get_column_names(newtablename))) + '\n'
expectedOutput = expectedOutput + ('\t\t'.join(str(x)
for x in data)) + '\n'
expectedOutput = expectedOutput + ('\t\t'.join(str(x) for x in data))
self.assertEqual(expectedOutput, printOutput.getvalue().strip('\n'))
def test_print_table_with_no_entries(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
old_stdout = sys.stdout
sys.stdout = printOutput = StringIO()
self.db.print_table(newtablename)
sys.stdout = old_stdout
expectedOutput = ('\t\t'.join(self.db.get_column_names(newtablename)))
self.assertEqual(expectedOutput, printOutput.getvalue().strip('\n'))
def test_print_table_with_no_database(self):
newtablename = 'notImportant'
db = SQHelper('/usr/test_db.sql') # Bad db name
old_stdout = sys.stdout
sys.stdout = printOutput = StringIO()
db.print_table(newtablename)
sys.stdout = old_stdout
expectedOutput = ''
self.assertEqual(expectedOutput, printOutput.getvalue().strip('\n'))
def test_print_table_with_table_which_doesnt_exist(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
old_stdout = sys.stdout
sys.stdout = printOutput = StringIO()
self.db.print_table('wrong_table_name')
sys.stdout = old_stdout
expectedOutput = ''
self.assertEqual(expectedOutput, printOutput.getvalue().strip('\n'))
def test_print_table_with_illeagle_table_name(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
old_stdout = sys.stdout
sys.stdout = printOutput = StringIO()
self.db.print_table('bad.name-for?EXECUTE')
sys.stdout = old_stdout
expectedOutput = ''
self.assertEqual(expectedOutput, printOutput.getvalue().strip('\n'))
def test_getting_dataframe_from_table_single_entry(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
data = [123456, 43.3]
self.db.insert(newtablename, data)
expectedDF = pd.DataFrame({'timestamp': [123456], 'value': [43.3]})
df = self.db.table_to_df(newtablename)
pd.testing.assert_frame_equal(expectedDF, df)
def test_getting_dataframe_from_table_multiple_entries(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
data = [123456, 43.3]
self.db.insert(newtablename, data)
self.db.insert(newtablename, data)
expectedDF = pd.DataFrame({
'timestamp': [123456, 123456],
'value': [43.3, 43.3]
})
df = self.db.table_to_df(newtablename)
pd.testing.assert_frame_equal(expectedDF, df)
def test_getting_dataframe_from_table_no_entries(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
df = self.db.table_to_df(newtablename)
self.assertEqual(len(df), 0)
def test_getting_dataframe_from_table_bad_table_name(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
data = [123456, 43.3]
self.db.insert(newtablename, data)
df = self.db.table_to_df('bad_table_name')
self.assertIs(df, None)
def test_getting_dataframe_from_table_no_database_made(self):
newtablename = 'notImportant'
db = SQHelper('/usr/test_db.sql') # Bad db name
df = db.table_to_df(newtablename)
self.assertIs(df, None)
def test_getting_last_timestamp_entry_added_in_order(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
data = [123456, 43.3]
self.db.insert(newtablename, data)
data = [1234567, 53.3]
self.db.insert(newtablename, data)
lastEntry = [1234568, 63.3]
self.db.insert(newtablename, lastEntry)
lastStoredEntry = self.db.get_last_time_entry(newtablename)
expectedEntry = {'timestamp': lastEntry[0], 'value': lastEntry[1]}
self.assertEqual(expectedEntry, lastStoredEntry)
def test_getting_last_timestamp_entry_added_out_of_order(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
data = [123456, 43.3]
self.db.insert(newtablename, data)
lastEntry = [1234568, 63.3]
self.db.insert(newtablename, lastEntry)
data = [1234567, 53.3]
self.db.insert(newtablename, data)
lastStoredEntry = self.db.get_last_time_entry(newtablename)
expectedEntry = {'timestamp': lastEntry[0], 'value': lastEntry[1]}
self.assertEqual(expectedEntry, lastStoredEntry)
def test_getting_last_timestamp_entry_from_empty_table(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
lastStoredEntry = self.db.get_last_time_entry(newtablename)
expectedEntry = dict()
self.assertEqual(lastStoredEntry, expectedEntry)
def test_getting_last_timestamp_entry_from_non_existant_table(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
data = [123456, 43.3]
self.db.insert(newtablename, data)
lastStoredEntry = self.db.get_last_time_entry("bad_table_name")
expectedEntry = None
self.assertEqual(lastStoredEntry, expectedEntry)
def test_getting_last_timestamp_entry_from_database_which_is_not_created(
self):
db = SQHelper('/usr/test_db.sql') # Bad db name
lastStoredEntry = db.get_last_time_entry("bad_table_name")
expectedEntry = None
self.assertEqual(lastStoredEntry, expectedEntry)
def test_get_range_of_rows_well_formed_request_within_database_limits(
self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
df = self.db.get_row_range(newtablename, 'value', 50, 70)
expectedDF = pd.DataFrame({
"timestamp": [1234567, 1234568],
'value': [53.3, 63.3]
})
pd.testing.assert_frame_equal(expectedDF, df)
def test_get_range_of_rows_well_formed_request_equal_to_boundries(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
df = self.db.get_row_range(newtablename, 'value', 53.3, 63.3)
expectedDF = pd.DataFrame({
"timestamp": [1234567, 1234568],
'value': [53.3, 63.3]
})
pd.testing.assert_frame_equal(expectedDF, df)
def test_get_range_of_rows_well_formed_request_min_and_max_includes_all_database(
self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
df = self.db.get_row_range(newtablename, 'value', 13.3, 163.3)
expectedDF = pd.DataFrame({
"timestamp": [123456, 1234567, 1234568, 1234568],
'value': [43.3, 53.3, 63.3, 83.3]
})
pd.testing.assert_frame_equal(expectedDF, df)
def test_get_range_of_rows_well_formed_request_min_and_max_duplicate_values(
self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
data = [123456, 43.3]
self.db.insert(newtablename, data)
data = [1234567, 53.3]
self.db.insert(newtablename, data)
data = [1234568, 63.3]
self.db.insert(newtablename, data)
data = [1234568, 63.3]
self.db.insert(newtablename, data)
df = self.db.get_row_range(newtablename, 'value', 50, 70)
expectedDF = pd.DataFrame({
"timestamp": [1234567, 1234568, 1234568],
'value': [53.3, 63.3, 63.3]
})
pd.testing.assert_frame_equal(expectedDF, df)
def test_get_range_of_rows_well_formed_request_out_of_bounds(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
df = self.db.get_row_range(newtablename, 'value', 13.3, 23.3)
self.assertEqual(len(df), 0)
def test_get_range_of_rows_well_formed_request_min_and_max_are_the_same(
self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
df = self.db.get_row_range(newtablename, 'value', 63.3, 63.3)
expectedDF = pd.DataFrame({"timestamp": [1234568], 'value': [63.3]})
pd.testing.assert_frame_equal(expectedDF, df)
def test_get_range_of_rows_matching_a_string(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
data = [123456, "hello"]
self.db.insert(newtablename, data)
data = [1234567, "hellq"]
self.db.insert(newtablename, data)
data = [1234567, "hells"]
self.db.insert(newtablename, data)
df = self.db.get_row_range(newtablename, 'value', 'hellp', 'hellor')
self.assertIs(df, None)
def test_get_range_of_rows_with_bad_table_name(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
df = self.db.get_row_range('bad_table_name', 'value', 12, 89)
self.assertIs(df, None)
def test_get_range_of_rows_with_bad_columns_name(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
df = self.db.get_row_range(newtablename, 'not_a_column', 12, 89)
self.assertIs(df, None)
def test_get_range_of_rows_with_no_created_database(self):
newtablename = 'notImportant'
db = SQHelper('/usr/test_db.sql') # Bad db name
df = db.get_row_range(newtablename, 'value', 12, 89)
self.assertIs(df, None)
def test_get_row_matching_value_when_value_exists(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
df = self.db.get_row(newtablename, 'value', 63.3)
expectedDF = pd.DataFrame({"timestamp": [1234568], 'value': [63.3]})
pd.testing.assert_frame_equal(expectedDF, df)
def test_get_row_matching_value_when_value_is_duplicate(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
data = [123456, 43.3]
self.db.insert(newtablename, data)
data = [1234567, 53.3]
self.db.insert(newtablename, data)
data = [1234568, 63.3]
self.db.insert(newtablename, data)
data = [1234568, 63.3]
self.db.insert(newtablename, data)
df = self.db.get_row(newtablename, 'value', 63.3)
expectedDF = pd.DataFrame({
"timestamp": [1234568, 1234568],
'value': [63.3, 63.3]
})
pd.testing.assert_frame_equal(expectedDF, df)
def test_get_row_matching_value_when_value_doesnt_exist(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
df = self.db.get_row(newtablename, 'value', 3.3)
self.assertEqual(len(df), 0)
def test_get_row_matching_value_when_value_is_string(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
data = [123456, '43.3']
self.db.insert(newtablename, data)
data = [1234567, '53.3']
self.db.insert(newtablename, data)
data = [1234568, '63.3']
self.db.insert(newtablename, data)
data = [1234568, '63.3']
self.db.insert(newtablename, data)
df = self.db.get_row(newtablename, 'value', '43.3')
expectedDF = pd.DataFrame({"timestamp": [123456], 'value': ['43.3']})
pd.testing.assert_frame_equal(expectedDF, df)
def test_get_row_matching_value_when_table_is_empty(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
df = self.db.get_row(newtablename, 'value', '43.3')
self.assertEqual(len(df), 0)
def test_get_row_matching_value_when_column_doesnt_exist(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
df = self.db.get_row(newtablename, 'doesnt_exist', '43.3')
self.assertIs(df, None)
def test_get_row_matching_value_when_table_doesnt_exist(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
df = self.db.get_row("doesnt_exist", 'value', '43.3')
self.assertIs(df, None)
def test_get_row_matching_value_when_table_doesnt_exist(self):
db = SQHelper('/usr/test_db.sql') # Bad db name
df = db.get_row("doesnt_exist", 'value', '43.3')
self.assertIs(df, None)
def test_get_last_rows_single_request(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
data = [123456, 43.3]
self.db.insert(newtablename, data)
data = [1234567, 53.3]
self.db.insert(newtablename, data)
data = [1234568, 63.3]
self.db.insert(newtablename, data)
data = [1234568, 83.3]
self.db.insert(newtablename, data)
df = self.db.get_last_rows(newtablename, 1)
expectedDF = pd.DataFrame({"timestamp": [1234568], 'value': [63.3]})
pd.testing.assert_frame_equal(expectedDF, df)
def test_get_last_rows_multiple_request(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
data = [123456, 43.3]
self.db.insert(newtablename, data)
data = [1234567, 53.3]
self.db.insert(newtablename, data)
data = [1234568, 63.3]
self.db.insert(newtablename, data)
data = [1234569, 83.3]
self.db.insert(newtablename, data)
df = self.db.get_last_rows(newtablename, 2)
expectedDF = pd.DataFrame({
"timestamp": [1234569, 1234568],
'value': [83.3, 63.3]
})
pd.testing.assert_frame_equal(expectedDF, df)
def test_get_last_rows_zero_request(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
data = [1234569, 83.3]
self.db.insert(newtablename, data)
df = self.db.get_last_rows(newtablename, 0)
self.assertEqual(len(df), 0)
def test_get_last_rows_negative_request(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
df = self.db.get_last_rows(newtablename, -1)
self.assertEqual(len(df), 4)
def test_get_last_rows_float_request(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
df = self.db.get_last_rows(newtablename, 1.1)
self.assertEqual(df, None)
def test_get_last_rows_no_timestamp_column(self):
newtablename = 'test_table'
columns = "not_timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
df = self.db.get_last_rows(newtablename, 1)
self.assertEqual(df, None)
def test_get_last_rows_table_doesnt_exist(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
df = self.db.get_last_rows('not_a_table', 1)
self.assertEqual(df, None)
def test_get_last_rows_database_doesnt_exist(self):
db = SQHelper('/usr/test_db.sql') # Bad db name
self.insertFourUniqueEntries('not_important')
df = db.get_last_rows('not_important', 1)
self.assertEqual(df, None)
def test_remove_row_range_in_middle(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
removed = self.db.remove_row_range(newtablename, 'value', 44.3, 73.3)
expectedDF = pd.DataFrame({
"timestamp": [123456, 1234569],
'value': [43.3, 83.3]
})
df = self.db.table_to_df(newtablename)
pd.testing.assert_frame_equal(expectedDF, df)
self.assertEqual(removed, True)
def test_remove_row_range_in_covering_all_entries(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
removed = self.db.remove_row_range(newtablename, 'value', 14.3, 173.3)
df = self.db.table_to_df(newtablename)
self.assertEqual(len(df), 0)
self.assertEqual(removed, True)
def test_remove_row_range_covering_no_entries(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
removed = self.db.remove_row_range(newtablename, 'value', 114.3, 173.3)
df = self.db.table_to_df(newtablename)
expectedDF = pd.DataFrame({
"timestamp": [123456, 1234567, 1234568, 1234569],
'value': [43.3, 53.3, 63.3, 83.3]
})
pd.testing.assert_frame_equal(expectedDF, df)
self.assertEqual(removed, True)
def test_remove_row_range_equal_to_one_entry(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
removed = self.db.remove_row_range(newtablename, 'value', 63.3, 63.3)
df = self.db.table_to_df(newtablename)
expectedDF = pd.DataFrame({
"timestamp": [123456, 1234567, 1234569],
'value': [43.3, 53.3, 83.3]
})
pd.testing.assert_frame_equal(expectedDF, df)
self.assertEqual(removed, True)
def test_remove_row_range_equal_to_one_entry(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
data = [123456, '43.3']
self.db.insert(newtablename, data)
removed = self.db.remove_row_range(newtablename, 'value', '23.3',
'63.3')
df = self.db.table_to_df(newtablename)
expectedDF = pd.DataFrame({"timestamp": [123456], 'value': ['43.3']})
pd.testing.assert_frame_equal(expectedDF, df)
self.assertEqual(removed, False)
def test_remove_row_range_table_doesnt_exist(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
removed = self.db.remove_row_range("Bad_table", 'value', 63.3, 63.3)
df = self.db.table_to_df(newtablename)
expectedDF = pd.DataFrame({
"timestamp": [123456, 1234567, 1234568, 1234569],
'value': [43.3, 53.3, 63.3, 83.3]
})
pd.testing.assert_frame_equal(expectedDF, df)
self.assertEqual(removed, False)
def test_remove_row_range_column_doesnt_exist(self):
newtablename = 'test_table'
columns = "timestamp, value"
self.db.create_table(newtablename, columns)
self.insertFourUniqueEntries(newtablename)
removed = self.db.remove_row_range(newtablename, 'value_not_a_column',
63.3, 63.3)
df = self.db.table_to_df(newtablename)
expectedDF = pd.DataFrame({
"timestamp": [123456, 1234567, 1234568, 1234569],
'value': [43.3, 53.3, 63.3, 83.3]
})
pd.testing.assert_frame_equal(expectedDF, df)
self.assertEqual(removed, False)
def test_remove_row_range_database_doesnt_exist(self):
db = SQHelper('/usr/test_db.sql') # Bad db name
removed = db.remove_row_range('not_important', 'value', 63.3, 63.3)
self.assertEqual(removed, False)
def insertFourUniqueEntries(self, newtablename):
data = [123456, 43.3]
self.db.insert(newtablename, data)
data = [1234567, 53.3]
self.db.insert(newtablename, data)
data = [1234568, 63.3]
self.db.insert(newtablename, data)
data = [1234569, 83.3]
self.db.insert(newtablename, data)