Update server.py

server.py

@@ -26,6 +26,92 @@ QUESTION_TO_SHEET = {
     "Where are trips starting and ending within Napa County?": "OD1",
 }
 
+tables_json = {
+    "TTyp1": {
+        "Trip Type": [
+            "Intra-Napa County Trips",
+            "Trips into Napa County",
+            "Trips out of Napa County",
+            "Napa County Pass-Through Trips",
+            "Total Trips Interacting with Napa County"
+        ],
+        "Trips": [238000, 52000, 51000, 12000, 353000],
+        "Previous TBS Trips": [238000, 48000, 47000, 12000, 345000],
+        "Percent": ["67%", "15%", "15%", "3%", "100%"],
+        "Previous TBS Percentage": ["68%", "14%", "14%", "3%", "100%"]
+    },
+    "GWTTyp1": {
+        "Napa County Gateway": [
+            "SR 29 at Napa/Solano County Line - Northbound",
+            "SR 29 at Napa/Solano County Line - Southbound",
+            "SR 12 at Napa/Solano County Line - Westbound",
+            "SR 12 at Napa/Solano County Line - Eastbound",
+            "SR 29 at Napa/Lake County Line - Southbound",
+            "SR 29 at Napa/Lake County Line - Northbound",
+            "SR 128 at Napa/Sonoma County Line - Eastbound",
+            "SR 128 at Napa/Sonoma County Line - Westbound",
+            "SR 12 at Napa/Sonoma County Line - Eastbound",
+            "SR 12 at Napa/Sonoma County Line - Westbound",
+            "SR 128 at Napa/Solano County Line - Westbound",
+            "SR 128 at Napa/Solano County Line - Eastbound",
+            "SMR at Napa/Sonoma County Line - Westbound",
+            "SMR at Napa/Sonoma County Line - Eastbound",
+            "All Napa County Gateway Trips"
+        ],
+        "Total Trips": [
+            23000, 24000, 24000, 22000, 4000, 4000, 1000, 1000, 16000, 15000,
+            600, 600, 400, 300, 124000
+        ],
+        "Napa County Pass-Through Trips": [
+            "4%", "6%", "16%", "16%", "56%", "48%", "22%", "26%", "29%", "29%",
+            "17%", "11%", "3%", "7%", "10%"
+        ],
+        "Trips into Napa County": [
+            "82%", "2%", "83%", "0%", "27%", "0%", "70%", "0%", "70%", "70%",
+            "69%", "69%", "33%", "50%", "42%"
+        ],
+        "Trips out of Napa County": [
+            "1%", "76%", "0%", "84%", "6%", "27%", "0%", "70%", "0%", "0%",
+            "6%", "6%", "60%", "0%", "41%"
+        ]
+    },
+    "TT1": {
+        "Location": [
+            "Vallejo", "Fairfield", "Santa Rosa", "Vacaville", "City of Sonoma", "Total"
+        ],
+        "Calistoga": [16, 35, 149, 9, 4, 213],
+        "Angwin": [48, 0, 7, 0, 4, 59],
+        "Saint Helena": [67, 207, 189, 126, 66, 655],
+        "Yountville": [69, 75, 26, 107, 105, 382],
+        "Napa": [5125, 4384, 3131, 2005, 1290, 15935],
+        "American Canyon": [6534, 1449, 326, 412, 154, 8875],
+        "Unincorporated": [1374, 1271, 1350, 762, 303, 5060],
+        "Total": [13233, 7421, 5178, 3421, 1926, 31179]
+    },
+    "OD1": {
+        "Location": [
+            "Vallejo", "Fairfield", "Santa Rosa", "Vacaville", "City of Sonoma", "Total"
+        ],
+        "Calistoga": [16, 35, 149, 9, 4, 213],
+        "Angwin": [48, 0, 7, 0, 4, 59],
+        "Saint Helena": [67, 207, 189, 126, 66, 655],
+        "Yountville": [69, 75, 26, 107, 105, 382],
+        "Napa": [5125, 4384, 3131, 2005, 1290, 15935],
+        "American Canyon": [6534, 1449, 326, 412, 154, 8875],
+        "Unincorporated": [1374, 1271, 1350, 762, 303, 5060],
+        "Total": [13233, 7421, 5178, 3421, 1926, 31179]
+    }
+}
+
+tables_title_json = = {
+    "TTyp1": ["Table 4.1: Weekday All-Day Trip Types"],
+    "GWTTyp1": ["Table 4.2: Weekday All-Day Gateway Trip Types"],
+    "TT1": ["Table 4.3: Weekday All-Day Top Five Generators of Inbound Trips"],
+    "OD1": ["Table 4.4: Weekday All-Day Origins and Destinations by City"]
+}
+    
+
+
 def create_server(app_dir):
     def server(input, output, session):
 
@@ -149,11 +235,17 @@ def create_server(app_dir):
 
             try:
                 # Load the sheet
-                df = pd.read_excel(EXCEL_FILE, sheet_name=sheet_name, skiprows=0, header=None)
+                #df = pd.read_excel(EXCEL_FILE, sheet_name=sheet_name, skiprows=0, header=None)
+                # Parse JSON string
+                df = json.loads(tables_json)
+                data_title = json.loads(tables_title_json)
+                # Convert each nested dictionary to a DataFrame
+                data = pd.DataFrame(data[sheet_name])
                 # Extract title from the first row
-                title = df.iloc[0, 0] if not df.empty else "No title found"
+                #title = df.iloc[0, 0] if not df.empty else "No title found"
+                title = data_title[sheet_name]
                 # Skip the first two rows and use the third row as headers
-                data = pd.read_excel(EXCEL_FILE, sheet_name=sheet_name, skiprows=2)
+                #data = pd.read_excel(EXCEL_FILE, sheet_name=sheet_name, skiprows=2)
                 return {"title": title, "data": data}
             #except Exception as e:
             #    return {"title": f"Error: {str(e)}", "data": pd.DataFrame()}