Update app.py

app.py

@@ -2,335 +2,61 @@ import streamlit as st
 
 st.title("Inventory Dashboard")
 st.write("Welcome to your inventory tracking system!")
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import streamlit as st\n",
-    "import pandas as pd\n",
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "2025-01-29 00:46:00.134 No runtime found, using MemoryCacheStorageManager\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Load the data\n",
-    "@st.cache_data\n",
-    "def load_data():\n",
-    "    lead_time_data = pd.read_csv('final_cleaned_lead_time_data.csv')\n",
-    "    inventory_data = pd.read_csv('inventory.csv')\n",
-    "    return lead_time_data, inventory_data\n",
-    "\n",
-    "lead_time_data, inventory_data = load_data()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Calculate Safety Stock and Reorder Point\n",
-    "def calculate_safety_stock(demand_std, lead_time_mean, z_score=1.645):\n",
-    "    return z_score * demand_std * np.sqrt(lead_time_mean)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def calculate_reorder_point(avg_demand, lead_time_mean, safety_stock):\n",
-    "    return (avg_demand * lead_time_mean) + safety_stock"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Simulate real-time updates\n",
-    "def simulate_real_time_data(data, interval=5):\n",
-    "    for i in range(interval):\n",
-    "        new_demand = np.random.randint(50, 100)  # Simulated demand\n",
-    "        new_row = pd.DataFrame({'Product Name': [f'Product {i+1}'], 'Demand': [new_demand]})\n",
-    "        data = pd.concat([data, new_row], ignore_index=True)\n",
-    "    return data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "2025-01-29 00:47:02.385 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:47:02.386 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:47:02.387 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:47:02.388 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:47:02.388 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:47:02.391 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:47:02.391 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:47:02.393 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:47:02.393 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:47:02.393 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:47:02.394 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:47:02.394 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Sidebar for user input\n",
-    "st.sidebar.header(\"Inventory Parameters\")\n",
-    "z_score = st.sidebar.slider(\"Z-Score (Service Level)\", 1.0, 3.0, 1.645)\n",
-    "interval = st.sidebar.slider(\"Real-Time Update Interval\", 1, 10, 5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Calculate metrics\n",
-    "demand_std = lead_time_data['Lead Time (Days)'].std()\n",
-    "lead_time_mean = lead_time_data['Lead Time (Days)'].mean()\n",
-    "avg_demand = inventory_data[' Warehouse Inventory '].mean()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "safety_stock = calculate_safety_stock(demand_std, lead_time_mean, z_score)\n",
-    "reorder_point = calculate_reorder_point(avg_demand, lead_time_mean, safety_stock)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "2025-01-29 00:48:26.507 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:48:26.509 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:48:26.510 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:48:26.511 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:48:26.513 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:48:26.514 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Display metrics\n",
-    "st.title(\"Inventory Management Dashboard\")\n",
-    "st.write(\"This dashboard dynamically visualizes inventory levels, reorder points, and safety stock.\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "2025-01-29 00:48:40.322 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:48:40.324 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:48:40.326 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:48:40.326 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:48:40.327 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:48:40.327 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:48:40.327 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:48:40.328 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "DeltaGenerator()"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "st.subheader(\"Key Metrics\")\n",
-    "st.metric(\"Safety Stock\", f\"{safety_stock:.2f} units\")\n",
-    "st.metric(\"Reorder Point\", f\"{reorder_point:.2f} units\")\n",
-    "st.metric(\"Average Demand\", f\"{avg_demand:.2f} units/day\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "2025-01-29 00:49:10.414 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:49:10.416 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:49:10.469 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:49:10.470 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Simulate real-time updates\n",
-    "st.subheader(\"Real-Time Inventory Updates\")\n",
-    "real_time_data = simulate_real_time_data(inventory_data, interval)\n",
-    "st.write(real_time_data)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "2025-01-29 00:49:30.914 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:49:30.916 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:49:31.038 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:49:31.849 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:49:31.849 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "DeltaGenerator()"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Plot inventory levels\n",
-    "st.subheader(\"Inventory Levels\")\n",
-    "fig, ax = plt.subplots()\n",
-    "ax.plot(inventory_data['Product Name'], inventory_data[' Warehouse Inventory '], label='Inventory Levels', color='blue')\n",
-    "ax.axhline(y=reorder_point, color='red', linestyle='--', label='Reorder Point')\n",
-    "ax.axhline(y=safety_stock, color='green', linestyle='--', label='Safety Stock')\n",
-    "ax.set_title(\"Inventory Levels and Reorder Point\")\n",
-    "ax.set_xlabel(\"Product Name\")\n",
-    "ax.set_ylabel(\"Inventory\")\n",
-    "ax.legend()\n",
-    "st.pyplot(fig)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "2025-01-29 00:49:43.470 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:49:43.480 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:49:43.558 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:49:43.563 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "DeltaGenerator()"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "st.subheader(\"Inventory Data\")\n",
-    "st.dataframe(inventory_data)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "2025-01-29 00:50:06.177 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:50:06.179 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:50:06.181 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:50:06.182 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
-      "2025-01-29 00:50:06.183 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n"
-     ]
-    }
-   ],
-   "source": [
-    "if st.button(\"Save Results\"):\n",
-    "    inventory_data.to_csv(\"updated_inventory_data.csv\", index=False)\n",
-    "    st.success(\"Results saved to 'updated_inventory_data.csv'\")"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "base",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.7"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+@st.cache
+def load_data():
+    lead_time_data = pd.read_csv('final_cleaned_lead_time_data.csv')
+    inventory_data = pd.read_csv('inventory.csv')
+    return lead_time_data, inventory_data
+ 
+  lead_time_data, inventory_data = load_data()
+def calculate_safety_stock(demand_std, lead_time_mean, z_score=1.645):
+    return z_score * demand_std * np.sqrt(lead_time_mean)
+
+def calculate_reorder_point(avg_demand, lead_time_mean, safety_stock):
+    return (avg_demand * lead_time_mean) + safety_stock
+def simulate_real_time_data(data, interval=5):
+    for i in range(interval):
+        new_demand = np.random.randint(50, 100)  # Simulated demand
+        new_row = {'Product Name': f'Product {i+1}', 'Demand': new_demand}
+        data = data.append(new_row, ignore_index=True)
+    return data
+st.sidebar.header("Inventory Parameters")
+z_score = st.sidebar.slider("Z-Score (Service Level)", 1.0, 3.0, 1.645)
+interval = st.sidebar.slider("Real-Time Update Interval", 1, 10, 5)
+demand_std = lead_time_data['Lead Time (Days)'].std()
+lead_time_mean = lead_time_data['Lead Time (Days)'].mean()
+avg_demand = inventory_data[' Warehouse Inventory '].mean()
+
+safety_stock = calculate_safety_stock(demand_std, lead_time_mean, z_score)
+reorder_point = calculate_reorder_point(avg_demand, lead_time_mean, safety_stock)
+st.title("Inventory Management Dashboard")
+st.write("This dashboard dynamically visualizes inventory levels, reorder points, and safety stock.")
+
+st.subheader("Key Metrics")
+st.metric("Safety Stock", f"{safety_stock:.2f} units")
+st.metric("Reorder Point", f"{reorder_point:.2f} units")
+st.metric("Average Demand", f"{avg_demand:.2f} units/day")
+st.subheader("Real-Time Inventory Updates")
+real_time_data = simulate_real_time_data(inventory_data, interval)
+st.write(real_time_data)
+st.subheader("Inventory Levels")
+fig, ax = plt.subplots()
+ax.plot(inventory_data['Product Name'], inventory_data[' Warehouse Inventory '], label='Inventory Levels', color='blue')
+ax.axhline(y=reorder_point, color='red', linestyle='--', label='Reorder Point')
+ax.axhline(y=safety_stock, color='green', linestyle='--', label='Safety Stock')
+ax.set_title("Inventory Levels and Reorder Point")
+ax.set_xlabel("Product Name")
+ax.set_ylabel("Inventory")
+ax.legend()
+st.pyplot(fig)
+st.subheader("Inventory Data")
+st.dataframe(inventory_data)
+if st.button("Save Results"):
+    inventory_data.to_csv("updated_inventory_data.csv", index=False)
+    st.success("Results saved to 'updated_inventory_data.csv'")
 if __name__ == "__main__":
     import streamlit as st
     st.write("Streamlit app is running!")