-
Sumra Zafar authoredSumra Zafar authored
- dps-crs-converter integration tests
- Folder structure
- Sanity Test: test_crs_converter.py
- GCP auth provider (crs_converter_test_gcp/jwt_client.py)
- Tests core (crs_converter_test_core/constants.py)
- Building/running test_crs_converter.py
- Azure Tests
- Suite Test: test_suite.py
- Example format for the test data
- Building/running test_suite.py
dps-crs-converter integration tests
Folder structure
testing/
- crs_converter_test_core/
- ...
- crs_converter_test_$PROVIDER_NAME/
- jwt_client.py
- run_test.py
This integration test uses a swagger generated Python client to test a
deployed crs-converter service. The source is located in this repository
./api_spec/crs_converter_openapi.json
.
The python client code is automatically generated. The latest online version (May 2018) created incorrect impost statements for cyclic class references. Therefore the current code is generated using swagger-codegen-cli-2.2.3.jar. The command to create the python code is: Linux
cd testing
java -jar ~/swagger-codegen-cli-2.2.3.jar generate -i crs_converter_test_core/api_spec/crs_converter_openapi.json -l python -o crs_converter_test_core/v2
Windows
cd testing
java -jar %UserProfile%\repositories\azure\swagger-codegen-cli-2.2.3.jar generate -i crs_converter_test_core\api_spec\crs_converter_openapi.json -l python -o crs_converter_test_core\v2
test_crs_converter.py
Sanity Test: This test is intended as a simple sanity test. It is quick but doesn't challenge the conversion engine thoroughly
The following parameters are expected as environment variables:
GCP auth provider (crs_converter_test_gcp/jwt_client.py)
Variable | Contents |
---|---|
INTEGRATION_TESTER | go to the google IAM & admin console, navigate to Service accounts to create a key and download the account info file. |
GOOGLE_AUDIENCES |
Tests core (crs_converter_test_core/constants.py)
Variable | Contents |
---|---|
BASE_URL | e.g. /api/crs/converter/v2
|
VIRTUAL_SERVICE_HOST_NAME | e.g. open.opendes.cloud.slb-ds.com |
MY_TENANT | e.g. opendes |
DATA_DIR | e.g. E:\tmp\CloudTestData
|
DATA_PATTERN | Test*.0*.json |
REPORT_PATH | e.g. E:\tmp\CloudTestData\Report\SuiteReport.txt
|
test_crs_converter.py
Building/running Go to the provider folder:
cd crs_converter_test_$PROVIDER_NAME/
To set up a virtual environment:
virtualenv venv
python3 -m pip install -r requirements.txt
To activate on Windows:
venv\Scripts\activate
To run:
python3 run_test.py
Azure Tests
For the python tests to run in Azure, the CI-CD pipeline copies the SIS_DATA folder to the shared storage for the pods to read. If you are setting up the environment manually and not using Azure CI-CD Pipeline, make sure to copy the folder
Sample code:
search_dir="apachesis_setup/SIS_DATA"
find "$search_dir/" -type f -print0 | while read -d $'\0' file; do
echo "File: $file"
az storage file upload --account-name $accountName --account-key $accountKey --share-name $SHARE_NAME --source "$file" --path "$file"
done
Note: To simulate a runtime exactly as that of the vsts build agent, you can simply exec into the docker image we use for the build agent, and run the tests from inside it. To know how to do this, please follow this documentation.
test_suite.py
Suite Test: This test requires pre-computed test data with expected values. This test - depending on how many data are sent through - will take a significant amount of time.
Example format for the test data
{
"CreateDate": "2017-08-07T15:02:51.8424946+00:00",
"TestData": [
{
"FromCrsPersistableReference": "%7B%22WKT%22%3A%22PROJCS%5B%5C%22DGN_1995_UTM_Zone_48N%5C%22%2CGEOGCS%5B%5C%22GCS_DGN_1995%5C%22%2CDATUM%5B%5C%22D_Datum_Geodesi_Nasional_1995%5C%22%2CSPHEROID%5B%5C%22WGS_1984%5C%22%2C6378137.0%2C298.257223563%5D%5D%2CPRIMEM%5B%5C%22Greenwich%5C%22%2C0.0%5D%2CUNIT%5B%5C%22Degree%5C%22%2C0.0174532925199433%5D%5D%2CPROJECTION%5B%5C%22Transverse_Mercator%5C%22%5D%2CPARAMETER%5B%5C%22False_Easting%5C%22%2C500000.0%5D%2CPARAMETER%5B%5C%22False_Northing%5C%22%2C0.0%5D%2CPARAMETER%5B%5C%22Central_Meridian%5C%22%2C105.0%5D%2CPARAMETER%5B%5C%22Scale_Factor%5C%22%2C0.9996%5D%2CPARAMETER%5B%5C%22Latitude_Of_Origin%5C%22%2C0.0%5D%2CUNIT%5B%5C%22Meter%5C%22%2C1.0%5D%2CAUTHORITY%5B%5C%22EPSG%5C%22%2C23868%5D%5D%22%2C%22Type%22%3A%22LBCRS%22%2C%22EngineVersion%22%3A%22PE_10_3_1%22%2C%22Name%22%3A%22DGN_1995_UTM_Zone_48N%22%2C%22AuthorityCode%22%3A%7B%22Authority%22%3A%22EPSG%22%2C%22Code%22%3A%2223868%22%7D%7D",
"ToCrsPersistableReference": "%7B%22WKT%22%3A%22GEOGCS%5B%5C%22GCS_DGN_1995%5C%22%2CDATUM%5B%5C%22D_Datum_Geodesi_Nasional_1995%5C%22%2CSPHEROID%5B%5C%22WGS_1984%5C%22%2C6378137.0%2C298.257223563%5D%5D%2CPRIMEM%5B%5C%22Greenwich%5C%22%2C0.0%5D%2CUNIT%5B%5C%22Degree%5C%22%2C0.0174532925199433%5D%2CAUTHORITY%5B%5C%22EPSG%5C%22%2C4755%5D%5D%22%2C%22Type%22%3A%22LBCRS%22%2C%22EngineVersion%22%3A%22PE_10_3_1%22%2C%22Name%22%3A%22GCS_DGN_1995%22%2C%22AuthorityCode%22%3A%7B%22Authority%22%3A%22EPSG%22%2C%22Code%22%3A%224755%22%7D%7D",
"FromInfo": "DGN_1995_UTM_Zone_48N [m]",
"ToInfo": "GCS_DGN_1995 [dega]",
"Info": "Late-bound CRS Conversions",
"FromToPoints": [
{
"FromPoint": {
"X": 166021.4430837048,
"Y": 0.0,
"Z": 0.0
},
"ToPoint": {
"X": 102.0,
"Y": 0.0,
"Z": 0.0
}
},
{
"FromPoint": {
"X": 833978.5569162938,
"Y": 0.0,
"Z": 0.0
},
"ToPoint": {
"X": 108.0,
"Y": 0.0,
"Z": 0.0
}
},
{
"FromPoint": {
"X": 168456.68464518717,
"Y": 768165.58302924014,
"Z": 0.0
},
"ToPoint": {
"X": 102.0,
"Y": 6.94,
"Z": 0.0
}
},
{
"FromPoint": {
"X": 831543.31535481149,
"Y": 768165.58302924014,
"Z": 0.0
},
"ToPoint": {
"X": 108.0,
"Y": 6.94,
"Z": 0.0
}
},
{
"FromPoint": {
"X": 500000.0,
"Y": 383543.96537060448,
"Z": 0.0
},
"ToPoint": {
"X": 105.0,
"Y": 3.47,
"Z": 0.0
}
}
]
}
]
}
test_suite.py
Building/running To set up a virtual environment:
virtualenv venv
python3 -m pip install -r requirements.txt
To activate on Windows:
venv\Scripts\activate
To run:
python test_suite.py