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import pandas as pd
from moto import mock_aws
import boto3
import botocore.exceptions
import os
import pytest
from src.load_lambda import (
lambda_handler,
retrieve_secrets,
connect_to_db_and_return_engine,
convert_parquet_files_to_dfs,
get_transform_bucket,
upload_dfs_to_database,
)
import tempfile
import json
from unittest.mock import MagicMock, patch
@pytest.fixture(scope="class")
def aws_credentials():
os.environ["AWS_ACCESS_KEY_ID"] = "testing"
os.environ["AWS_SECRET_ACCESS_KEY"] = "testing"
os.environ["AWS_SECURITY_TOKEN"] = "testing"
os.environ["AWS_SESSION_TOKEN"] = "testing"
os.environ["AWS_DEFAULT_REGION"] = "eu-west-2"
@pytest.fixture(scope="class")
def mock_s3_client():
with mock_aws():
yield boto3.client("s3")
@pytest.fixture(scope="class")
def mock_sm_client():
with mock_aws():
yield boto3.client("secretsmanager")
class TestLambdaHandler:
@staticmethod
def test_lambda_handler_returns_200_and_table_name_if_uploaded(mocker):
mocker.patch(
"src.load_lambda.upload_dfs_to_database",
return_value={"uploaded": ["table_one", "table_two"], "not_uploaded": []},
)
result = lambda_handler(None, None)
assert result["statusCode"] == 200
assert "table_one" in result["body"]
assert "table_two" in result["body"]
@staticmethod
def test_lambda_handler_returns_200_and_table_name_if_not_uploaded(mocker):
mocker.patch(
"src.load_lambda.upload_dfs_to_database",
return_value={"uploaded": [], "not_uploaded": ["table_one"]},
)
result = lambda_handler(None, None)
assert result["statusCode"] == 200
assert "No dataframes were uploaded" in result["body"]
@staticmethod
def test_lambda_handler_returns_error_if_both_lists_empty(mocker):
mocker.patch(
"src.load_lambda.upload_dfs_to_database",
return_value={"uploaded": [], "not_uploaded": []},
)
result = lambda_handler(None, None)
assert result == {"error"}
class TestRetrieveSecrets:
@staticmethod
def test_retrieve_secrets_returns_dictionary(mock_sm_client):
secret = {
"cohort_id": "test_cohort_id",
"user": "test_user_id",
"password": "test_password",
"host": "test_host",
"database": "test_database",
"port": "test_port",
}
secret_name = "test_secret"
mock_sm_client.create_secret(Name=secret_name, SecretString=json.dumps(secret))
result = json.loads(retrieve_secrets(mock_sm_client, secret_name))
assert isinstance(result, dict)
@staticmethod
def test_retrieve_secrets_returns_correct_keys_and_values(mock_sm_client):
secret_name = "test_secret"
result = json.loads(retrieve_secrets(mock_sm_client, secret_name))
assert result["user"] == "test_user_id"
assert result["password"] == "test_password"
@staticmethod
def test_retrieve_secrets_returns_client_error_if_no_secret(mock_sm_client):
secret_name = "another_test_secret"
with pytest.raises(botocore.exceptions.ClientError) as error:
retrieve_secrets(mock_sm_client, secret_name)
class TestConnectToDBAndReturnEngine:
@staticmethod
def test_returns_unsuccessful_connection_when_wrong_credentials():
sm_secret = {
"host": "host",
"port": "port",
"user": "user",
"password": "password",
"database": "database",
}
with pytest.raises(Exception):
connect_to_db_and_return_engine(json.dumps(sm_secret))
class TestGetTransformBucket:
@staticmethod
def test_raises_value_error_if_no_buckets(mock_s3_client):
with pytest.raises(ValueError, match="No transform bucket found"):
get_transform_bucket(mock_s3_client)
@staticmethod
def test_raises_value_error_if_no_transform_bucket(mock_s3_client):
mock_s3_client.create_bucket(
Bucket="extract_bucket",
CreateBucketConfiguration={"LocationConstraint": "eu-west-2"},
)
with pytest.raises(ValueError, match="No transform bucket found"):
get_transform_bucket(mock_s3_client)
@staticmethod
def test_returns_transform_bucket_if_one_bucket(mock_s3_client):
mock_s3_client.create_bucket(
Bucket="transform_bucket",
CreateBucketConfiguration={"LocationConstraint": "eu-west-2"},
)
result = get_transform_bucket(mock_s3_client)
assert result == "transform_bucket"
@staticmethod
def test_only_returns_transform_bucket_if_several_buckets(mock_s3_client):
mock_s3_client.create_bucket(
Bucket="another_test_bucket",
CreateBucketConfiguration={"LocationConstraint": "eu-west-2"},
)
result = get_transform_bucket(mock_s3_client)
assert result == "transform_bucket"
class TestConvertParquetToDfs:
@staticmethod
def test_function_returns_empty_dictionary_if_no_files(mock_s3_client):
mock_s3_client.create_bucket(
Bucket="transform_bucket",
CreateBucketConfiguration={"LocationConstraint": "eu-west-2"},
)
result = convert_parquet_files_to_dfs(
bucket_name="transform_bucket", client=mock_s3_client
)
assert result == {}
@staticmethod
def test_function_returns_dictionary_with_file_key_and_dataframe(mock_s3_client):
with tempfile.TemporaryDirectory() as tmp:
d = {
"test": ["Hello", "Bye"],
"design_id": ["Hello", "Bye"],
"design_name": ["Hello", "Bye"],
"file_name": ["Hello", "Bye"],
"file_location": ["Hello", "Bye"],
"Hello": ["Hello", "Bye"],
}
test_df = pd.DataFrame(data=d)
path = os.path.join(tmp, "test_parquet.parquet")
test_df.to_parquet(path, engine="pyarrow")
with open(path, "rb") as p:
mock_s3_client.put_object(
Bucket="transform_bucket", Key="test_parquet.parquet", Body=p.read()
)
result = convert_parquet_files_to_dfs(
bucket_name="transform_bucket", client=mock_s3_client
)
assert "test_parquet.parquet" in result
pd.testing.assert_frame_equal(result["test_parquet.parquet"], test_df)
class TestUploadDfsToDatabase:
@pytest.fixture
def mock_engine(self):
engine = MagicMock()
engine.dispose = MagicMock()
return engine
@pytest.fixture
def mock_df(self):
df = MagicMock(spec=pd.DataFrame)
df.to_sql = MagicMock()
return df
@staticmethod
def test_function_returns_dictionary_with_uploaded_and_not_uploaded_keys(
mock_engine, mock_df
):
with patch(
"src.load_lambda.convert_parquet_files_to_dfs",
return_value={"dim_counterparty.parquet": mock_df},
), patch(
"src.load_lambda.connect_to_db_and_return_engine", return_value=mock_engine
):
result = upload_dfs_to_database()
assert "uploaded" in result
assert "not_uploaded" in result
|
