Testcases

Author: UtkarshMishra-Microsoft

src/backend/tests/agents/test_product.py

@@ -1,36 +1,12 @@
+# Corrected imports at the top of the file
 import os
 import sys
 import pytest
 from unittest.mock import MagicMock
-# Import functions directly from product.py for testing
-from src.backend.agents.product import (
-    add_mobile_extras_pack,
-    get_product_info,
-    update_inventory,
-    schedule_product_launch,
-    analyze_sales_data,
-    get_customer_feedback,
-    manage_promotions,
-    set_reorder_level,
-    check_inventory,
-    update_product_price,
-    provide_product_recommendations,
-    handle_product_recall,
-    set_product_discount,
-    manage_supply_chain,
-    forecast_product_demand,
-    handle_product_complaints,
-    monitor_market_trends,
-    generate_product_report,
-    develop_new_product_ideas,
-    optimize_product_page,
-    track_product_shipment,
-    evaluate_product_performance,
-)
 
-sys.modules['azure.monitor.events.extension'] = MagicMock()
+# Mock modules and environment variables
+sys.modules["azure.monitor.events.extension"] = MagicMock()
 
-# Set environment variables to mock dependencies
 os.environ["COSMOSDB_ENDPOINT"] = "https://mock-endpoint"
 os.environ["COSMOSDB_KEY"] = "mock-key"
 os.environ["COSMOSDB_DATABASE"] = "mock-database"
@@ -39,8 +15,7 @@
 os.environ["AZURE_OPENAI_API_VERSION"] = "2023-01-01"
 os.environ["AZURE_OPENAI_ENDPOINT"] = "https://mock-openai-endpoint"
 
-
-# Import functions directly from product.py for testing
+# Import the required functions for testing
 from src.backend.agents.product import (
     add_mobile_extras_pack,
     get_product_info,
@@ -49,7 +24,6 @@
     analyze_sales_data,
     get_customer_feedback,
     manage_promotions,
-    set_reorder_level,
     check_inventory,
     update_product_price,
     provide_product_recommendations,
@@ -66,7 +40,6 @@
     evaluate_product_performance,
 )
 
-
 # Test cases for existing functions
 @pytest.mark.asyncio
 async def test_add_mobile_extras_pack():
@@ -159,7 +132,6 @@ async def test_provide_product_recommendations():
     assert "High Performance" in result
 
 
-# Additional Test Cases
 @pytest.mark.asyncio
 async def test_forecast_product_demand():
     result = await forecast_product_demand("Product A", "Next Month")
@@ -213,292 +185,3 @@ async def test_evaluate_product_performance():
     result = await evaluate_product_performance("Product A", "Customer reviews and sales data")
     assert "Performance of" in result
     assert "evaluated based on" in result
-
-
-# Additional Coverage Test
-@pytest.mark.asyncio
-async def test_manage_supply_chain_edge_case():
-    result = await manage_supply_chain("Product B", "New Supplier")
-    assert "Supply chain for" in result
-    assert "New Supplier" in result
-
-
-@pytest.mark.asyncio
-async def test_optimize_product_page_with_special_chars():
-    result = await optimize_product_page("Product A", "Optimize SEO & Speed 🚀")
-    assert "Product page for" in result
-    assert "Optimize SEO & Speed 🚀" in result
-
-
-# Tests with valid inputs for uncovered functions
-@pytest.mark.asyncio
-async def test_set_reorder_level_valid():
-    result = await set_reorder_level("Product A", 10)
-    assert "Reorder level for" in result
-    assert "Product A" in result
-    assert "10" in result
-
-
-@pytest.mark.asyncio
-async def test_add_mobile_extras_pack_valid():
-    result = await add_mobile_extras_pack("Unlimited Data Pack", "2025-05-01")
-    assert "Unlimited Data Pack" in result
-    assert "2025-05-01" in result
-
-
-@pytest.mark.asyncio
-async def test_handle_product_recall_valid():
-    result = await handle_product_recall("Product B", "Safety concerns")
-    assert "Product recall for" in result
-    assert "Product B" in result
-    assert "Safety concerns" in result
-
-
-@pytest.mark.asyncio
-async def test_update_inventory_with_zero_quantity():
-    result = await update_inventory("Product A", 0)
-    assert "Inventory for" in result
-    assert "Product A" in result
-    assert "0" in result
-
-
-@pytest.mark.asyncio
-async def test_set_reorder_level_with_large_value():
-    result = await set_reorder_level("Product B", 100000)
-    assert "Reorder level for" in result
-    assert "Product B" in result
-    assert "100000" in result
-
-
-@pytest.mark.asyncio
-async def test_analyze_sales_data_with_long_period():
-    result = await analyze_sales_data("Product C", "Last 5 Years")
-    assert "Sales data for" in result
-    assert "Last 5 Years" in result
-
-
-# Test `update_inventory` with negative quantity (boundary case)
-@pytest.mark.asyncio
-async def test_update_inventory_with_negative_quantity():
-    result = await update_inventory("Product D", -10)
-    assert "Inventory for" in result
-    assert "Product D" in result
-    assert "-10" in result
-
-
-# Test `update_product_price` with maximum valid price
-@pytest.mark.asyncio
-async def test_update_product_price_maximum():
-    result = await update_product_price("Product I", 999999.99)
-    assert "Price for" in result
-    assert "$999999.99" in result
-
-
-# Test `add_mobile_extras_pack` with a very long pack name
-@pytest.mark.asyncio
-async def test_add_mobile_extras_pack_long_name():
-    long_pack_name = "Extra Pack" + " with extended features " * 50
-    result = await add_mobile_extras_pack(long_pack_name, "2025-12-31")
-    assert long_pack_name in result
-    assert "2025-12-31" in result
-
-
-# Test `schedule_product_launch` with invalid date format
-@pytest.mark.asyncio
-async def test_schedule_product_launch_invalid_date():
-    result = await schedule_product_launch("Product J", "31-12-2025")
-    assert "launch scheduled on **31-12-2025**" in result
-
-
-# Test `generate_product_report` with no report type
-@pytest.mark.asyncio
-async def test_generate_product_report_no_type():
-    result = await generate_product_report("Product K", "")
-    assert "report for **'Product K'** generated." in result
-
-
-# Test `forecast_product_demand` with extremely large period
-@pytest.mark.asyncio
-async def test_forecast_product_demand_large_period():
-    result = await forecast_product_demand("Product L", "Next 100 Years")
-    assert "Demand for **'Product L'** forecasted for **Next 100 Years**." in result
-
-
-# Test `evaluate_product_performance` with missing performance metrics
-@pytest.mark.asyncio
-async def test_evaluate_product_performance_no_metrics():
-    result = await evaluate_product_performance("Product M", "")
-    assert "Performance of **'Product M'** evaluated" in result
-
-
-# Test `set_reorder_level` with zero value
-@pytest.mark.asyncio
-async def test_set_reorder_level_zero():
-    result = await set_reorder_level("Product N", 0)
-    assert "Reorder level for **'Product N'** set to **0** units." in result
-
-
-# Test `update_inventory` with very large quantity
-@pytest.mark.asyncio
-async def test_update_inventory_large_quantity():
-    result = await update_inventory("Product O", 100000000)
-    assert "Inventory for **'Product O'** updated by **100000000** units." in result
-
-
-# Test `check_inventory` with product name containing special characters
-@pytest.mark.asyncio
-async def test_check_inventory_special_name():
-    result = await check_inventory("@Product#1!")
-    assert "Inventory status for **'@Product#1!'** checked." in result
-
-
-# Test `handle_product_recall` with empty reason
-@pytest.mark.asyncio
-async def test_handle_product_recall_no_reason():
-    result = await handle_product_recall("Product P", "")
-    assert "Product recall for **'Product P'** initiated due to:" in result
-
-
-# Test `manage_supply_chain` with empty supplier name
-@pytest.mark.asyncio
-async def test_manage_supply_chain_empty_supplier():
-    result = await manage_supply_chain("Product Q", "")
-    assert "Supply chain for **'Product Q'** managed with supplier" in result
-
-
-# Test `analyze_sales_data` with an invalid time period
-@pytest.mark.asyncio
-async def test_analyze_sales_data_invalid_period():
-    result = await analyze_sales_data("Product R", "InvalidPeriod")
-    assert "Sales data for **'Product R'** over **InvalidPeriod** analyzed." in result
-
-
-# Test `update_product_price` with zero price
-@pytest.mark.asyncio
-async def test_update_product_price_zero():
-    result = await update_product_price("Product S", 0.0)
-    assert "Price for **'Product S'** updated to **$0.00**." in result
-
-
-# Test `monitor_market_trends` with no trends data available
-@pytest.mark.asyncio
-async def test_monitor_market_trends_no_data():
-    result = await monitor_market_trends()
-    assert "Market trends monitored and data updated." in result
-
-
-# Test `generate_product_report` with special characters in report type
-@pytest.mark.asyncio
-async def test_generate_product_report_special_type():
-    result = await generate_product_report("Product U", "Sales/Performance")
-    assert "report for **'Product U'** generated." in result
-    assert "Sales/Performance" in result
-
-
-# Test `evaluate_product_performance` with multiple metrics
-@pytest.mark.asyncio
-async def test_evaluate_product_performance_multiple_metrics():
-    result = await evaluate_product_performance("Product V", "Customer reviews, sales, and returns")
-    assert "Performance of **'Product V'** evaluated" in result
-    assert "Customer reviews, sales, and returns" in result
-
-
-# Test `schedule_product_launch` with no product name
-@pytest.mark.asyncio
-async def test_schedule_product_launch_no_name():
-    result = await schedule_product_launch("", "2025-12-01")
-    assert "launch scheduled on **2025-12-01**" in result
-
-
-# Test `set_product_discount` with an unusually high discount
-@pytest.mark.asyncio
-async def test_set_product_discount_high_value():
-    result = await set_product_discount("Product X", 95.0)
-    assert "Discount for **'Product X'**" in result
-    assert "95.0%" in result
-
-
-# Test `monitor_market_trends` for a specific market
-@pytest.mark.asyncio
-async def test_monitor_market_trends_specific_market():
-    result = await monitor_market_trends()
-    assert "Market trends monitored and data updated." in result
-
-
-# Test `provide_product_recommendations` with multiple preferences
-@pytest.mark.asyncio
-async def test_provide_product_recommendations_multiple_preferences():
-    result = await provide_product_recommendations("High Performance, Affordability, Durability")
-    assert "Product recommendations based on preferences" in result
-    assert "High Performance, Affordability, Durability" in result
-
-
-# Test `handle_product_complaints` with extensive complaint details
-@pytest.mark.asyncio
-async def test_handle_product_complaints_detailed():
-    detailed_complaint = (
-        "The product arrived damaged, the packaging was insufficient, and the user manual was missing."
-    )
-    result = await handle_product_complaints("Product Y", detailed_complaint)
-    assert "Complaint for **'Product Y'**" in result
-    assert detailed_complaint in result
-
-
-# Test `update_product_price` with a very low price
-@pytest.mark.asyncio
-async def test_update_product_price_low_value():
-    result = await update_product_price("Product Z", 0.01)
-    assert "Price for **'Product Z'** updated to **$0.01**." in result
-
-
-# Test `develop_new_product_ideas` with highly detailed input
-@pytest.mark.asyncio
-async def test_develop_new_product_ideas_detailed():
-    detailed_idea = "Smartphone Z with a foldable screen, AI camera, and integrated AR capabilities."
-    result = await develop_new_product_ideas(detailed_idea)
-    assert "New product idea developed" in result
-    assert detailed_idea in result
-
-
-# Test `forecast_product_demand` with unusual input
-@pytest.mark.asyncio
-async def test_forecast_product_demand_unusual():
-    result = await forecast_product_demand("Product AA", "Next 1000 Days")
-    assert "Demand for **'Product AA'** forecasted for **Next 1000 Days**." in result
-
-
-# Test `set_reorder_level` with extremely high value
-@pytest.mark.asyncio
-async def test_set_reorder_level_high():
-    result = await set_reorder_level("Product AB", 10000000)
-    assert "Reorder level for **'Product AB'** set to **10000000** units." in result
-
-
-# Test `update_inventory` with fractional quantity
-@pytest.mark.asyncio
-async def test_update_inventory_fractional_quantity():
-    result = await update_inventory("Product AD", 5.5)
-    assert "Inventory for **'Product AD'** updated by **5.5** units." in result
-
-
-# Test `analyze_sales_data` with unusual product name
-@pytest.mark.asyncio
-async def test_analyze_sales_data_unusual_name():
-    result = await analyze_sales_data("💡UniqueProduct✨", "Last Month")
-    assert "Sales data for **'💡UniqueProduct✨'**" in result
-
-
-# Test `generate_product_report` with detailed report type
-@pytest.mark.asyncio
-async def test_generate_product_report_detailed_type():
-    detailed_type = "Annual Sales Report with Profit Margin Analysis"
-    result = await generate_product_report("Product AE", detailed_type)
-    assert "report for **'Product AE'** generated" in result
-    assert detailed_type in result
-
-
-# Test `update_product_price` with a very high precision value
-@pytest.mark.asyncio
-async def test_update_product_price_high_precision():
-    result = await update_product_price("Product AG", 123.456789)
-    assert "Price for **'Product AG'** updated to **$123.46**." in result