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import pandas as pd
import pyarrow.parquet as pq
from io import BytesIO
from moto import mock_aws
import boto3
import botocore.exceptions
import os
import pytest
from src.load_lambda import *
import tempfile
@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(aws_credentials):
with mock_aws():
yield boto3.client("s3")
@pytest.fixture(scope="class")
def mock_sm_client(aws_credentials):
with mock_aws():
yield boto3.client("secretsmanager")
class TestLambdaHandler:
def test_lambda_handler_returns_200_and_table_name_if_uploaded(self, 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"]
def test_lambda_handler_returns_200_and_table_name_if_not_uploaded(self, 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"]
def test_lambda_handler_returns_error_if_both_lists_empty(self, 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:
def test_retrieve_secrets_returns_dictionary(self, 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 = retrieve_secrets(mock_sm_client, secret_name)
assert isinstance(result, dict)
def test_retrieve_secrets_returns_correct_keys_and_values(self, mock_sm_client):
secret_name = "test_secret"
result = retrieve_secrets(mock_sm_client, secret_name)
assert result["user"] == "test_user_id"
assert result["password"] == "test_password"
def test_retrieve_secrets_returns_client_error_if_no_secret(self, 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:
def test_returns_unsuccessful_connection_when_wrong_credentials(self):
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:
def test_raises_value_error_if_no_buckets(self, mock_s3_client):
with pytest.raises(ValueError, match="No transform bucket found"):
get_transform_bucket(mock_s3_client)
def test_raises_value_error_if_no_transform_bucket(self, 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)
def test_returns_transform_bucket_if_one_bucket(self, 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"
def test_only_returns_transform_bucket_if_several_buckets(self, 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:
def test_function_returns_empty_dictionary_if_no_files(self, 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 == {}
# def test_function_returns_dictionary_with_table_with_file_key():
# # need to mock parquet file and upload to mock bucket
# result = convert_parquet_files_to_dfs(bucket_name="transform_bucket", client=mock_s3_client)
# assert "dim_staff" in result
def test_function_returns_dictionary_with_file_key_and_dataframe(
self, 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:
# Full success test
# Partial success test
# Failure test
pass
|
