def conn():
h = Connector(TEST_DB_URI)
schemas = ["tmp", "temporary", "data_quality", "raw"]
create_queries = [f"create schema if not exists {s}" for s in schemas]
drop_queries = [f"drop schema if exists {s} cascade" for s in schemas]
for c in create_queries:
h.execute(c)
yield h
for d in drop_queries:
h.execute(d)
def test_set_medians(conn: Connector, monkeypatch):
DQBase.metadata.clear()
qc = create_default_quality_check_class(
ResultTable(schema_name="data_quality", table_name="t"))
qc.__table__.create(conn.engine)
instance = qc()
conn.execute("""
insert into data_quality.quality_check_t(failed, passed, task_ts)
values
(10, 200, '2018-09-11T13:00:00'),
(3, 22, '2018-09-10T13:00:00'),
(11, 110, '2018-09-09T13:00:00'),
(55, 476, '2018-09-08T13:00:00'),
(77, 309, '2018-07-12T13:00:00') -- should not be taken
""")
monkeypatch.setattr("contessa.models.datetime", FakedDatetime)
instance.set_medians(conn)
assert instance.median_30_day_failed == 10.5
assert instance.median_30_day_passed == 155
def test_set_medians(conn: Connector, monkeypatch):
DQBase.metadata.clear()
qc = create_default_check_class(
ResultTable(schema_name="data_quality",
table_name="t",
model_cls=QualityCheck))
qc.__table__.create(conn.engine)
instance = qc()
conn.execute("""
insert into data_quality.quality_check_t(attribute, rule_name, rule_type, failed, passed, task_ts, time_filter)
values
('a', 'b', 'not_null', 10, 200, '2018-09-11T13:00:00', 'not_set'),
('a', 'b', 'not_null', 3, 22, '2018-09-10T13:00:00', 'not_set'),
('a', 'b', 'not_null', 11, 110, '2018-09-09T13:00:00', 'not_set'),
('a', 'b', 'not_null', 55, 476, '2018-09-08T13:00:00', 'not_set'),
('a', 'b', 'not_null', 77, 309, '2018-07-12T13:00:00', 'not_set') -- should not be taken
""")
monkeypatch.setattr("contessa.models.datetime", FakedDatetime)
instance.set_medians(conn)
assert instance.median_30_day_failed == 10.5
assert instance.median_30_day_passed == 155
class TestMigrationsResolverInit(unittest.TestCase):
def setUp(self):
"""
Init a temporary table with some data.
"""
sql = [
f"DROP SCHEMA IF EXISTS {DATA_QUALITY_SCHEMA} CASCADE;"
f"CREATE SCHEMA IF NOT EXISTS {DATA_QUALITY_SCHEMA};",
get_quality_table_creation_script(DATA_QUALITY_SCHEMA,
DATA_QUALITY_TABLE_1),
get_quality_table_creation_script(DATA_QUALITY_SCHEMA,
DATA_QUALITY_TABLE_2),
]
self.conn = Connector(TEST_DB_URI)
for s in sql:
self.conn.execute(s)
def tearDown(self):
"""
Drop all created tables.
"""
self.conn.execute(f"DROP schema {DATA_QUALITY_SCHEMA} CASCADE;")
DQBase.metadata.clear()
def test_migration_table_exists_init(self):
versions_migrations = {"0.1.4": "0.1.4-hash", "0.1.5": "0.1.5-hash"}
m = MigrationsResolver(versions_migrations, "0.1.4", SQLALCHEMY_URL,
DATA_QUALITY_SCHEMA)
migration_table_exists = m.migrations_table_exists()
assert migration_table_exists is False
def test_get_current_migration_init(self):
versions_migrations = {"0.1.4": "0.1.4-hash", "0.1.5": "0.1.5-hash"}
m = MigrationsResolver(versions_migrations, "0.1.4", SQLALCHEMY_URL,
DATA_QUALITY_SCHEMA)
current = m.get_applied_migration()
assert current is None
def test_is_on_head_init(self):
versions_migrations = {"0.1.4": "0.1.4-hash", "0.1.5": "0.1.5-hash"}
m = MigrationsResolver(versions_migrations, "0.1.4", SQLALCHEMY_URL,
DATA_QUALITY_SCHEMA)
is_on_head = m.is_on_head()
is_on_head is False
def test_get_migrations_to_head__is_before_init(self):
versions_migrations = {
"0.1.2": "0.1.2-hash",
"0.1.3": "0.1.3-hash",
"0.1.4": "0.1.4-hash",
"0.1.5": "0.1.5-hash",
"0.1.6": "0.1.6-hash",
"0.1.7": "0.1.7-hash",
}
m = MigrationsResolver(versions_migrations, "0.1.7", SQLALCHEMY_URL,
DATA_QUALITY_SCHEMA)
migrations = m.get_migration_to_head()
assert migrations[0] is "upgrade"
assert migrations[1] is "0.1.7-hash"
class TestMigrationsResolver(unittest.TestCase):
def setUp(self):
"""
Init a temporary table with some data.
"""
sql = [
f"DROP SCHEMA IF EXISTS {DATA_QUALITY_SCHEMA} CASCADE;"
f"CREATE SCHEMA IF NOT EXISTS {DATA_QUALITY_SCHEMA};",
get_quality_table_creation_script(DATA_QUALITY_SCHEMA,
DATA_QUALITY_TABLE_1),
get_quality_table_creation_script(DATA_QUALITY_SCHEMA,
DATA_QUALITY_TABLE_2),
f"""
create table {DATA_QUALITY_SCHEMA}.{MIGRATION_TABLE}
(
version_num varchar(32) not null
constraint alembic_version_pkc
primary key
);
INSERT INTO {DATA_QUALITY_SCHEMA}.{MIGRATION_TABLE} (version_num) VALUES ('0.1.4-hash');
""",
]
self.conn = Connector(TEST_DB_URI)
for s in sql:
self.conn.execute(s)
def tearDown(self):
"""
Drop all created tables.
"""
# self.conn.execute(f"DROP schema data_quality_test CASCADE;")
DQBase.metadata.clear()
def test_schema_exists(self):
versions_migrations = {"0.1.4": "0.1.4-hash", "0.1.5": "0.1.5-hash"}
m = MigrationsResolver(versions_migrations, "0.1.4", SQLALCHEMY_URL,
DATA_QUALITY_SCHEMA)
schema_exists = m.schema_exists()
assert schema_exists
m = MigrationsResolver(versions_migrations, "0.1.4", SQLALCHEMY_URL,
"not_existing_schema")
schema_exists = m.schema_exists()
assert schema_exists is False
def test_migration_table_exists(self):
versions_migrations = {"0.1.4": "0.1.4-hash", "0.1.5": "0.1.5-hash"}
m = MigrationsResolver(versions_migrations, "0.1.4", SQLALCHEMY_URL,
DATA_QUALITY_SCHEMA)
migration_table_exists = m.migrations_table_exists()
assert migration_table_exists
def test_get_current_migration(self):
versions_migrations = {"0.1.4": "0.1.4-hash", "0.1.5": "0.1.5-hash"}
m = MigrationsResolver(versions_migrations, "0.1.4", SQLALCHEMY_URL,
DATA_QUALITY_SCHEMA)
current = m.get_applied_migration()
assert current == "0.1.4-hash"
def test_is_on_head(self):
versions_migrations = {"0.1.4": "0.1.4-hash", "0.1.5": "0.1.5-hash"}
m = MigrationsResolver(versions_migrations, "0.1.4", SQLALCHEMY_URL,
DATA_QUALITY_SCHEMA)
is_on_head = m.is_on_head()
assert is_on_head
def test_is_on_head_no_on_head(self):
versions_migrations = {"0.1.4": "0.1.4-hash", "0.1.5": "0.1.5-hash"}
m = MigrationsResolver(versions_migrations, "0.1.5", SQLALCHEMY_URL,
DATA_QUALITY_SCHEMA)
is_on_head = m.is_on_head()
assert is_on_head is False
def test_is_on_head_with_fallback(self):
versions_migrations = {"0.1.4": "0.1.4-hash", "0.1.6": "0.1.6-hash"}
m = MigrationsResolver(versions_migrations, "0.1.5", SQLALCHEMY_URL,
DATA_QUALITY_SCHEMA)
is_on_head = m.is_on_head()
assert is_on_head
def test_get_migrations_to_head__already_on_head(self):
versions_migrations = {"0.1.4": "0.1.4-hash", "0.1.5": "0.1.5-hash"}
m = MigrationsResolver(versions_migrations, "0.1.4", SQLALCHEMY_URL,
DATA_QUALITY_SCHEMA)
migrations = m.get_migration_to_head()
assert migrations is None
def test_get_migrations_to_head__package_greather_than_map_max(self):
versions_migrations = {"0.1.4": "0.1.4-hash", "0.1.5": "0.1.5-hash"}
m = MigrationsResolver(versions_migrations, "0.1.6", SQLALCHEMY_URL,
DATA_QUALITY_SCHEMA)
migrations = m.get_migration_to_head()
assert migrations[0] is "upgrade"
assert migrations[1] is "0.1.5-hash"
def test_get_migrations_to_head__is_down_from_head(self):
versions_migrations = {
"0.1.2": "0.1.2-hash",
"0.1.3": "0.1.3-hash",
"0.1.4": "0.1.4-hash",
"0.1.5": "0.1.5-hash",
"0.1.6": "0.1.6-hash",
"0.1.7": "0.1.7-hash",
}
m = MigrationsResolver(versions_migrations, "0.1.7", SQLALCHEMY_URL,
DATA_QUALITY_SCHEMA)
migrations = m.get_migration_to_head()
assert migrations[0] is "upgrade"
assert migrations[1] is "0.1.7-hash"
def test_get_migrations_to_head__is_down_from_head_with_fallback(self):
versions_migrations = {
"0.1.2": "0.1.2-hash",
"0.1.3": "0.1.3-hash",
"0.1.4": "0.1.4-hash",
"0.1.5": "0.1.5-hash",
"0.1.8": "0.1.8-hash",
"0.1.9": "0.1.9-hash",
}
m = MigrationsResolver(versions_migrations, "0.1.7", SQLALCHEMY_URL,
DATA_QUALITY_SCHEMA)
migrations = m.get_migration_to_head()
assert migrations[0] is "upgrade"
assert migrations[1] is "0.1.5-hash"
def test_get_migrations_to_head__is_up_from_head(self):
versions_migrations = {
"0.1.2": "0.1.2-hash",
"0.1.3": "0.1.3-hash",
"0.1.4": "0.1.4-hash",
"0.1.5": "0.1.5-hash",
"0.1.6": "0.1.6-hash",
"0.1.7": "0.1.7-hash",
}
m = MigrationsResolver(versions_migrations, "0.1.2", SQLALCHEMY_URL,
DATA_QUALITY_SCHEMA)
migrations = m.get_migration_to_head()
assert migrations[0] is "downgrade"
assert migrations[1] is "0.1.2-hash"
def test_get_migrations_to_head__is_up_from_head_with_fallback(self):
versions_migrations = {
"0.1.1": "0.1.1-hash",
"0.1.3": "0.1.3-hash",
"0.1.4": "0.1.4-hash",
"0.1.5": "0.1.5-hash",
"0.1.6": "0.1.6-hash",
"0.1.7": "0.1.7-hash",
}
m = MigrationsResolver(versions_migrations, "0.1.2", SQLALCHEMY_URL,
DATA_QUALITY_SCHEMA)
migrations = m.get_migration_to_head()
assert migrations[0] is "downgrade"
assert migrations[1] is "0.1.1-hash"
class TestDataQualityOperator(unittest.TestCase):
def setUp(self):
"""
Init a temporary table with some data.
"""
self.table_name = "booking_all_v2"
self.ts_nodash = (FakedDatetime.now().isoformat().replace("-",
"").replace(
":", ""))
self.tmp_table_name = f"{self.table_name}_{self.ts_nodash}"
self.now = FakedDatetime.now()
sql = [
"DROP SCHEMA if exists tmp CASCADE;",
"DROP SCHEMA if exists data_quality CASCADE;",
"CREATE SCHEMA IF NOT EXISTS tmp;",
"CREATE SCHEMA IF NOT EXISTS data_quality;",
"CREATE SCHEMA IF NOT EXISTS hello;",
f"""
CREATE TABLE IF NOT EXISTS tmp.{self.table_name}(
id SERIAL PRIMARY KEY,
src text,
dst text,
price int,
turnover_after_refunds double precision,
initial_price double precision,
created_at timestamptz
)
""",
f"""
CREATE TABLE IF NOT EXISTS tmp.{self.tmp_table_name}(
id SERIAL PRIMARY KEY,
src text,
dst text,
price int,
turnover_after_refunds double precision,
initial_price double precision,
created_at timestamptz
)
""",
f"""
INSERT INTO tmp.{self.tmp_table_name}
(src, dst, price, turnover_after_refunds, initial_price, created_at)
VALUES
('BTS', NULL, 1, 100, 11, '2018-09-12T11:50:00'),
-- this is older than 30 days.
-- not in stats when time_filter = `created_at`
(NULL, 'PEK', 33, 1.1, 13, '2018-01-12T15:50:00'),
('VIE', 'JFK', 4, 5.5, 23.4, '2018-09-11T11:50:00'),
('VIE', 'VIE', 4, 0.0, 0.0, '2018-09-11T11:50:00')
""",
f"""
INSERT INTO tmp.{self.table_name}
(src, dst, price, turnover_after_refunds, initial_price, created_at)
VALUES
('BTS', NULL, 1, 100, 11, '2018-09-12T13:00:00'),
-- this is older than 30 days.
-- not in stats when time_filter = `created_at`
(NULL, 'PEK', 33, 1.1, 13, '2018-01-12T13:00:00'),
('VIE', 'JFK', 4, 5.5, 23.4, '2018-09-11T13:00:00'),
('VIE', 'VIE', 4, 0.0, 0.0, '2018-09-11T13:00:00')
""",
]
self.conn = Connector(TEST_DB_URI)
for s in sql:
self.conn.execute(s)
self.contessa_runner = ContessaRunner(TEST_DB_URI)
def tearDown(self):
"""
Drop all created tables.
"""
self.conn.execute(f"DROP schema tmp CASCADE;")
self.conn.execute(f"DROP schema data_quality CASCADE;")
self.conn.execute(f"DROP schema hello CASCADE;")
DQBase.metadata.clear()
@mock.patch("contessa.executor.datetime", FakedDatetime)
def test_execute_tmp(self):
sql = """
SELECT
CASE WHEN src = 'BTS' and dst is null THEN false ELSE true END as res
from {{ table_fullname }}
"""
rules = [
{
"name": "not_null_name",
"type": "not_null",
"column": "dst",
"time_filter": "created_at",
},
{
"name": "gt_name",
"type": "gt",
"column": "price",
"value": 10,
"time_filter": "created_at",
},
{
"name": "sql_name",
"type": "sql",
"sql": sql,
"column": "src_dst",
"description": "test sql rule",
},
{
"name": "not_name",
"type": "not",
"column": "src",
"value": "dst"
},
]
self.contessa_runner.run(
check_table={
"schema_name": "tmp",
"table_name": self.tmp_table_name
},
result_table={
"schema_name": "data_quality",
"table_name": self.table_name
},
raw_rules=rules,
context={"task_ts": self.now},
)
rows = self.conn.get_records(f"""
SELECT * from data_quality.quality_check_{self.table_name}
order by created_at
""").fetchall()
self.assertEqual(len(rows), 4)
notnull_rule = rows[0]
self.assertEqual(notnull_rule["failed"], 1)
self.assertEqual(notnull_rule["passed"], 2)
self.assertEqual(notnull_rule["attribute"], "dst")
self.assertEqual(notnull_rule["task_ts"].timestamp(),
self.now.timestamp())
gt_rule = rows[1]
self.assertEqual(gt_rule["failed"], 3)
self.assertEqual(gt_rule["passed"], 0)
self.assertEqual(gt_rule["attribute"], "price")
sql_rule = rows[2]
self.assertEqual(sql_rule["failed"], 1)
self.assertEqual(sql_rule["passed"], 3)
self.assertEqual(sql_rule["attribute"], "src_dst")
not_column_rule = rows[3]
self.assertEqual(not_column_rule["failed"], 1)
self.assertEqual(not_column_rule["passed"], 3)
self.assertEqual(not_column_rule["attribute"], "src")
@mock.patch("contessa.executor.datetime", FakedDatetime)
def test_execute_dst(self):
sql = """
SELECT
CASE WHEN src = 'BTS' AND dst is null THEN false ELSE true END as res
FROM {{ table_fullname }}
WHERE created_at BETWEEN
timestamptz '{{task_ts}}' - INTERVAL '1 hour'
AND
timestamptz '{{task_ts}}' + INTERVAL '1 hour'
"""
rules = [
{
"name": "not_null_name",
"type": "not_null",
"column": "dst",
"time_filter": "created_at",
},
{
"name": "sql_name",
"type": "sql",
"sql": sql,
"column": "src_dst",
"description": "test sql rule",
},
]
self.contessa_runner.run(
check_table={
"schema_name": "tmp",
"table_name": self.tmp_table_name
},
result_table={
"schema_name": "data_quality",
"table_name": self.table_name
},
raw_rules=rules,
context={"task_ts": self.now},
)
rows = self.conn.get_records(f"""
SELECT * from data_quality.quality_check_{self.table_name}
order by created_at
""").fetchall()
self.assertEqual(len(rows), 2)
notnull_rule = rows[0]
self.assertEqual(notnull_rule["failed"], 1)
self.assertEqual(notnull_rule["passed"], 2)
self.assertEqual(notnull_rule["attribute"], "dst")
self.assertEqual(notnull_rule["task_ts"].timestamp(),
self.now.timestamp())
sql_rule = rows[1]
self.assertEqual(sql_rule["failed"], 1)
self.assertEqual(sql_rule["passed"], 0)
self.assertEqual(sql_rule["attribute"], "src_dst")
def test_different_schema(self):
rules = [{
"name": "not_nul_name",
"type": "not_null",
"column": "dst",
"time_filter": "created_at",
}]
self.contessa_runner.run(
check_table={
"schema_name": "tmp",
"table_name": self.tmp_table_name
},
result_table={
"schema_name": "hello",
"table_name": "abcde"
},
raw_rules=rules,
context={"task_ts": self.now},
)
rows = self.conn.get_records(f"""
SELECT 1 from hello.quality_check_abcde
""").fetchall()
self.assertEqual(len(rows), 1)
class TestConsistencyChecker(unittest.TestCase):
def setUp(self):
"""
Init a temporary table with some data.
"""
self.left_table_name = "raw_booking"
self.right_table_name = "booking"
self.result_table_name = "booking"
self.ts_nodash = (
FakedDatetime.now().isoformat().replace("-", "").replace(":", "")
)
self.now = FakedDatetime.now()
sql = [
"DROP SCHEMA if exists tmp CASCADE;",
"DROP SCHEMA if exists data_quality CASCADE;",
"CREATE SCHEMA IF NOT EXISTS tmp;",
"CREATE SCHEMA IF NOT EXISTS data_quality;",
"CREATE SCHEMA IF NOT EXISTS hello;",
f"""
CREATE TABLE IF NOT EXISTS tmp.{self.left_table_name}(
id SERIAL PRIMARY KEY,
src text,
dst text,
price int,
turnover_after_refunds double precision,
initial_price double precision,
created_at timestamptz
)
""",
f"""
CREATE TABLE IF NOT EXISTS hello.{self.right_table_name}(
id SERIAL PRIMARY KEY,
src text,
dst text,
price int,
turnover_after_refunds double precision,
initial_price double precision,
created_at timestamptz
)
""",
f"""
INSERT INTO tmp.{self.left_table_name}
(src, dst, price, turnover_after_refunds, initial_price, created_at)
VALUES
('BTS', NULL, 1, 100, 11, '2018-09-12T11:50:00'),
(NULL, 'PEK', 33, 1.1, 13, '2018-01-12T15:50:00'),
('VIE', 'JFK', 4, 5.5, 23.4, '2018-09-11T11:50:00'),
('VIE', 'VIE', 4, 0.0, 0.0, '2018-09-11T11:50:00')
""",
f"""
INSERT INTO hello.{self.right_table_name}
(src, dst, price, turnover_after_refunds, initial_price, created_at)
VALUES
('BTS', NULL, 1, 100, 11, '2018-09-12T11:50:00'),
(NULL, 'PEK', 33, 1.1, 13, '2018-01-12T15:50:00'),
('VIE', 'JFK', 4, 5.5, 23.4, '2018-09-11T11:50:00')
""",
]
self.conn = Connector(TEST_DB_URI)
for s in sql:
self.conn.execute(s)
self.consistency_checker = ConsistencyChecker(TEST_DB_URI)
def tearDown(self):
"""
Drop all created tables.
"""
self.conn.execute(f"DROP schema tmp CASCADE;")
self.conn.execute(f"DROP schema data_quality CASCADE;")
self.conn.execute(f"DROP schema hello CASCADE;")
DQBase.metadata.clear()
@mock.patch("contessa.executor.datetime", FakedDatetime)
def test_execute_consistency_false(self):
self.consistency_checker.run(
self.consistency_checker.COUNT,
left_check_table={"schema_name": "tmp", "table_name": self.left_table_name},
right_check_table={
"schema_name": "hello",
"table_name": self.right_table_name,
},
result_table={
"schema_name": "data_quality",
"table_name": self.result_table_name,
},
context={"task_ts": self.now},
)
rows = self.conn.get_records(
f"""
SELECT * from data_quality.consistency_check_{self.result_table_name}
order by created_at
"""
)
self.assertEqual(rows.fetchone()["status"], "invalid")
@mock.patch("contessa.executor.datetime", FakedDatetime)
def test_execute_consistency_true(self):
# add missing record to the right table
self.conn.execute(
f"""
INSERT INTO hello.{self.right_table_name}
(src, dst, price, turnover_after_refunds, initial_price, created_at)
VALUES
('VIE', 'VIE', 4, 0.0, 0.0, '2018-09-11T11:50:00')
"""
)
self.consistency_checker.run(
self.consistency_checker.COUNT,
left_check_table={"schema_name": "tmp", "table_name": self.left_table_name},
right_check_table={
"schema_name": "hello",
"table_name": self.right_table_name,
},
result_table={
"schema_name": "data_quality",
"table_name": self.result_table_name,
},
context={"task_ts": self.now},
)
rows = self.conn.get_records(
f"""
SELECT * from data_quality.consistency_check_{self.result_table_name}
order by created_at
"""
)
self.assertEqual(rows.fetchone()["status"], "valid")
@mock.patch("contessa.executor.datetime", FakedDatetime)
def test_execute_consistency_diff(self):
""" Test scenario where table diff is done on tables with different column order."""
self.inconsistent_colums_left = "user"
self.inconsistent_colums_right = "user_inconsistent"
self.conn = Connector(TEST_DB_URI)
self.consistency_checker = ConsistencyChecker(TEST_DB_URI)
sql = [
f"""
CREATE TABLE IF NOT EXISTS tmp.{self.inconsistent_colums_left}(
id SERIAL PRIMARY KEY,
name text
)
""",
f"""
CREATE TABLE IF NOT EXISTS tmp.{self.inconsistent_colums_right}(
name text,
id SERIAL PRIMARY KEY
)
""",
f"""
INSERT INTO tmp.{self.inconsistent_colums_left}
VALUES
(1, 'John Doe')
""",
f"""
INSERT INTO tmp.{self.inconsistent_colums_right}
VALUES
('John Doe', 1)
""",
]
for s in sql:
self.conn.execute(s)
self.consistency_checker.run(
self.consistency_checker.DIFF,
left_check_table={
"schema_name": "tmp",
"table_name": self.inconsistent_colums_left,
},
right_check_table={
"schema_name": "tmp",
"table_name": self.inconsistent_colums_right,
},
result_table={
"schema_name": "data_quality",
"table_name": self.result_table_name,
},
context={"task_ts": self.now},
)
rows = self.conn.get_records(
f"""
SELECT * from data_quality.consistency_check_{self.result_table_name}
order by created_at
"""
)
self.assertEqual(rows.fetchone()["status"], "valid")
@mock.patch("contessa.executor.datetime", FakedDatetime)
def test_execute_consistency_sqls(self):
result = self.consistency_checker.run(
self.consistency_checker.DIFF,
left_check_table={"schema_name": "tmp", "table_name": self.left_table_name},
right_check_table={
"schema_name": "hello",
"table_name": self.right_table_name,
},
left_custom_sql="SELECT 16349;",
right_custom_sql="SELECT 16349;",
context={"task_ts": self.now},
)
self.assertEqual("valid", result.status)
result = self.consistency_checker.run(
self.consistency_checker.DIFF,
left_check_table={"schema_name": "tmp", "table_name": self.left_table_name},
right_check_table={
"schema_name": "hello",
"table_name": self.right_table_name,
},
left_custom_sql="SELECT 42;",
right_custom_sql="SELECT 16349;",
context={"task_ts": self.now},
)
self.assertEqual("invalid", result.status)
class TestReturnResults(unittest.TestCase):
def setUp(self):
"""
Init a temporary table with some data.
"""
self.left_table_name = "raw_booking"
self.right_table_name = "booking"
self.ts_nodash = (FakedDatetime.now().isoformat().replace("-",
"").replace(
":", ""))
self.now = FakedDatetime.now()
sql = [
"DROP SCHEMA if exists tmp CASCADE;",
"CREATE SCHEMA IF NOT EXISTS tmp;",
"CREATE SCHEMA IF NOT EXISTS hello;",
f"""
CREATE TABLE IF NOT EXISTS tmp.{self.left_table_name}(
id SERIAL PRIMARY KEY,
src text,
dst text,
price int,
turnover_after_refunds double precision,
initial_price double precision,
created_at timestamptz
)
""",
f"""
CREATE TABLE IF NOT EXISTS hello.{self.right_table_name}(
id SERIAL PRIMARY KEY,
src text,
dst text,
price int,
turnover_after_refunds double precision,
initial_price double precision,
created_at timestamptz
)
""",
f"""
INSERT INTO tmp.{self.left_table_name}
(src, dst, price, turnover_after_refunds, initial_price, created_at)
VALUES
('BTS', NULL, 1, 100, 11, '2018-09-12T11:50:00'),
(NULL, 'PEK', 33, 1.1, 13, '2018-01-12T15:50:00'),
('VIE', 'JFK', 4, 5.5, 23.4, '2018-09-11T11:50:00'),
('VIE', 'VIE', 4, 0.0, 0.0, '2018-09-11T11:50:00')
""",
f"""
INSERT INTO hello.{self.right_table_name}
(src, dst, price, turnover_after_refunds, initial_price, created_at)
VALUES
('BTS', NULL, 1, 100, 11, '2018-09-12T11:50:00'),
(NULL, 'PEK', 33, 1.1, 13, '2018-01-12T15:50:00'),
('VIE', 'JFK', 4, 5.5, 23.4, '2018-09-11T11:50:00')
""",
]
self.conn = Connector(TEST_DB_URI)
for s in sql:
self.conn.execute(s)
self.consistency_checker = ConsistencyChecker(TEST_DB_URI)
def tearDown(self):
"""
Drop all created tables.
"""
self.conn.execute(f"DROP schema tmp CASCADE;")
self.conn.execute(f"DROP schema hello CASCADE;")
DQBase.metadata.clear()
@mock.patch("contessa.executor.datetime", FakedDatetime)
def test_execute_consistency(self):
result = self.consistency_checker.run(
self.consistency_checker.COUNT,
left_check_table={
"schema_name": "tmp",
"table_name": self.left_table_name
},
right_check_table={
"schema_name": "hello",
"table_name": self.right_table_name,
},
context={"task_ts": self.now},
)
self.assertEqual(result.status, "invalid")
self.assertEqual(result.context["left_table_name"], "tmp.raw_booking")
self.assertEqual(result.context["right_table_name"], "hello.booking")