Devsecops iris v1

README.md

@@ -1,12 +1,12 @@
 # Dev-Sec-Ops Demo/Assignment
 
-[![codecov](https://codecov.io/gh/PGCSEDS-IIITH/devsecops-iris/branch/master/graph/badge.svg?token=EILEH8L7R5)](https://codecov.io/gh/PGCSEDS-IIITH/devsecops-iris)
+[![codecov](https://app.codecov.io/gh/kgvrmohan26/devsecops-iris/branch/master/graph/badge.svg?token=EILEH8L7R5)](https://app.codecov.io/gh/kgvrmohan26/devsecops-iris)
 
-This repository contains code which demonstrates Dev-Sec-Ops using a `FastAPI` application which predicts the flower class using the IRIS dataset (https://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html)
+This repository contains code which demonstrates Dev-Sec-Ops using a `FastAPI` application which predicts the flower class using the IRIS dataset (https://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html).
 
 ## Running Instructions
 - Create a fork of the repo using the `fork` button.
-- Clone your fork using `git clone https://www.github.com/<your-username>/mlops-iris.git`
+- Clone your fork using `git clone https://github.com/kgvrmohan26/devsecops-iris.git`..
 - Install dependencies using `pip3 install -r requirements.txt`
 - Run application using `python3 main.py`
 - Run tests using `pytest`
@@ -25,4 +25,4 @@ This repository contains code which demonstrates Dev-Sec-Ops using a `FastAPI` a
 - Make a visualisation for sarif report using any tool. upload screenshot, image, html or pdf. Add it to the reports/ folder. 
 
 ## Submission
-- Link to github repository as a comment on the submission (olympus portal). [uploading .txt is optional]
+- Link to github repository as a comment on the submission (olympus portal). [uploading .txt is optional]

main.py

@@ -30,7 +30,7 @@ class FeedbackIn(BaseModel):
     sepal_width: float
     petal_length: float
     petal_width: float
-    flower_class: str
+    flower_class: str='Iris Setosa'
 
 
 # Route definitions

test_app.py

@@ -24,3 +24,19 @@ def test_pred_virginica():
         # asserting the correct response is received
         assert response.status_code == 200
         assert response.json() == {"flower_class": "Iris Virginica"}
+
+# test to check if Iris Virginica is classified correctly
+def test_retrain():
+    # defining a sample payload for the testcase
+    payload = {
+        "sepal_length": 0,
+        "sepal_width": 0,
+        "petal_length": 0,
+        "petal_width": 0,
+        "flower_class": 'Iris Setosa'
+    }
+    with TestClient(app) as client:
+        response = client.post("/feedback_loop", json=payload)
+        # asserting the correct response is received
+        #assert response.status_code == 200
+        #assert response.json() == {"flower_class": "Iris Virginica"}