Add FastAPI app with Docker, CI/CD, and linter checking flake8 and pytest

Author: sumeyaaaa

test/test_api.py

@@ -2,6 +2,7 @@
 import sys
 import os
 import warnings
+
 warnings.filterwarnings("ignore", category=DeprecationWarning)
 
 sys.path.insert(
@@ -22,40 +23,39 @@
     from fastapi.testclient import TestClient
     from api.main import app
 
-client = TestClient(app)
-
+    client = TestClient(app)
 
-def test_predict():
-    sample_data = {
-        "Recency": 1,
-        "Frequency": 127,
-        "Monetary": 489358,
-        "Transaction_Hour": 8,
-        "FraudResult": 0,
-        "Average_Transaction_Amount": 2424.58,
-        "Transaction_Day": 12,
-        "ChannelId_ChannelId_2": False,
-        "ChannelId_ChannelId_3": True,
-        "ChannelId_ChannelId_5": False,
-        "ProviderId_ProviderId_2": False,
-        "ProviderId_ProviderId_3": False,
-        "ProviderId_ProviderId_4": False,
-        "ProviderId_ProviderId_5": False,
-        "ProviderId_ProviderId_6": True,
-        "PricingStrategy_1": False,
-        "PricingStrategy_2": True,
-        "PricingStrategy_4": False,
-        "ProductCategory_data_bundles": False,
-        "ProductCategory_financial_services": False,
-        "ProductCategory_movies": False,
-        "ProductCategory_other": False,
-        "ProductCategory_ticket": False,
-        "ProductCategory_transport": False,
-        "ProductCategory_tv": False,
-        "ProductCategory_utility_bill": False,
-    }
+    def test_predict():
+        sample_data = {
+            "Recency": 1,
+            "Frequency": 127,
+            "Monetary": 489358,
+            "Transaction_Hour": 8,
+            "FraudResult": 0,
+            "Average_Transaction_Amount": 2424.58,
+            "Transaction_Day": 12,
+            "ChannelId_ChannelId_2": False,
+            "ChannelId_ChannelId_3": True,
+            "ChannelId_ChannelId_5": False,
+            "ProviderId_ProviderId_2": False,
+            "ProviderId_ProviderId_3": False,
+            "ProviderId_ProviderId_4": False,
+            "ProviderId_ProviderId_5": False,
+            "ProviderId_ProviderId_6": True,
+            "PricingStrategy_1": False,
+            "PricingStrategy_2": True,
+            "PricingStrategy_4": False,
+            "ProductCategory_data_bundles": False,
+            "ProductCategory_financial_services": False,
+            "ProductCategory_movies": False,
+            "ProductCategory_other": False,
+            "ProductCategory_ticket": False,
+            "ProductCategory_transport": False,
+            "ProductCategory_tv": False,
+            "ProductCategory_utility_bill": False,
+        }
 
-    response = client.post("/predict", json=sample_data)
-    assert response.status_code == 200
-    assert "risk_probability" in response.json()
-    assert abs(response.json()["risk_probability"] - 0.7) < 1e-6
+        response = client.post("/predict", json=sample_data)
+        assert response.status_code == 200
+        assert "risk_probability" in response.json()
+        assert abs(response.json()["risk_probability"] - 0.7) < 1e-6