Update app.py

app.py

@@ -13,41 +13,110 @@ import plotly.graph_objects as go
 # Data
 # ---------------------------
 AMCS = [
-    "SBI MF", "ICICI Pru MF", "HDFC MF", "Nippon India MF", "Kotak MF",
-    "UTI MF", "Axis MF", "Aditya Birla SL MF", "Mirae MF", "DSP MF"
+    "SBI MF",
+    "ICICI Pru MF",
+    "HDFC MF",
+    "Nippon India MF",
+    "Kotak MF",
+    "UTI MF",
+    "Axis MF",
+    "Aditya Birla SL MF",
+    "Mirae MF",
+    "DSP MF"
 ]
 
 # ---------------------------
 # COMPANIES (deduplicated + screenshot items)
 # ---------------------------
 COMPANIES = [
- "Bajaj Finance","Adani Power","Infosys","ICICI Bank","HDFC Bank","NTPC",
- "Power Grid Corporation Of India","Trent","Colgate-Palmolive (India)","ITC",
- "Dixon Technologies (India)","Bank Of Maharashtra","Affle 3i",
- "L&T Finance","Kotak Mahindra Bank","AU Small Finance Bank","Titan Company",
- "Hindustan Unilever","Mankind Pharma","Shriram Finance","Tata Motors","Eternal",
- "Mahindra & Mahindra","Glenmark Pharmaceuticals","Sundaram Finance","Tata Consultancy Services",
- "Axis Bank","Dr. Reddy's Laboratories","Muthoot Finance","Avenue Supermarts",
- "UNO Minda","Jindal Steel","ACC","Tata Steel","Vedanta","Godrej Industries",
- "Berger Paints India","Tata Motors Passenger Vehicles","Bajaj Finserv",
- "Bharti Airtel","Larsen & Toubro","Maruti Suzuki India","HDFC Asset Management Co",
- "One97 Communications","Hyundai Motor India","Power Finance Corporation",
- "Solar Industries India","HPCL","Fortis Healthcare",
- "CEAT","NMDC","Ashok Leyland",
- "Tata Elxsi","Avanti Feeds","Karur Vysya Bank","Indian Bank",
- "Yatharth Hospital & Trauma Care","Dalmia Bharat","IREDA","HCC",
- "Premier Energies","Welspon Corp","Zydus Lifesciences",
- "Travel Food Services","Sai Silks (Kalamandir)",
- "Sumitomo Chemical India","Adani Ports and SEZ",
- "CESC",
- "Canara Bank","MCX","Pearl Global Industries","Aditya Birla Lifestyle Brands",
- "Angel One","Thyrocare Technologies","SJS Enterprises","Shilpa Medicare",
- "Hindalco Industries","Tata Communications",
- "Ujjivan Small Finance Bank","Steel Authority Of India",
- "Shaily Engineering Plastics","Persistent Systems",
- "Hindustan Aeronautics"
+    "ACC",
+    "Adani Ports and SEZ",
+    "Adani Power",
+    "Aditya Birla Lifestyle Brands",
+    "Affle 3i",
+    "Angel One",
+    "Ashok Leyland",
+    "Avenue Supermarts",
+    "Avanti Feeds",
+    "Axis Bank",
+    "AU Small Finance Bank",
+    "Bajaj Finance",
+    "Bajaj Finserv",
+    "Bank Of Maharashtra",
+    "Berger Paints India",
+    "Bharti Airtel",
+    "Canara Bank",
+    "CESC",
+    "CEAT",
+    "Colgate-Palmolive (India)",
+    "Dalmia Bharat",
+    "Dixon Technologies (India)",
+    "Dr. Reddy's Laboratories",
+    "Eternal",
+    "Fortis Healthcare",
+    "Glenmark Pharmaceuticals",
+    "Godrej Industries",
+    "HCC",
+    "HDFC Asset Management Co",
+    "HDFC Bank",
+    "Hindalco Industries",
+    "Hindustan Aeronautics",
+    "Hindustan Unilever",
+    "HPCL",
+    "Hyundai Motor India",
+    "ICICI Bank",
+    "Infosys",
+    "Indian Bank",
+    "IREDA",
+    "ITC",
+    "Jindal Steel",
+    "Karur Vysya Bank",
+    "Kotak Mahindra Bank",
+    "L&T Finance",
+    "Larsen & Toubro",
+    "Mahindra & Mahindra",
+    "Mankind Pharma",
+    "Maruti Suzuki India",
+    "MCX",
+    "Muthoot Finance",
+    "NMDC",
+    "NTPC",
+    "One97 Communications",
+    "Pearl Global Industries",
+    "Persistent Systems",
+    "Praj Industries",
+    "Power Finance Corporation",
+    "Power Grid Corporation Of India",
+    "Premier Energies",
+    "Sai Silks (Kalamandir)",
+    "Shaily Engineering Plastics",
+    "Shilpa Medicare",
+    "Shriram Finance",
+    "SJS Enterprises",
+    "Solar Industries India",
+    "Steel Authority Of India",
+    "Sumitomo Chemical India",
+    "Sundaram Finance",
+    "Suzlon Energy",
+    "Tata Communications",
+    "Tata Consultancy Services",
+    "Tata Elxsi",
+    "Tata Motors",
+    "Tata Motors Passenger Vehicles",
+    "Tata Steel",
+    "Titan Company",
+    "Trent",
+    "Travel Food Services",
+    "Ujjivan Small Finance Bank",
+    "UNO Minda",
+    "Vedanta",
+    "Welspon Corp",
+    "Welspun Corp",
+    "Yatharth Hospital & Trauma Care",
+    "Zydus Lifesciences"
 ]
 
+
 # ---------------------------
 # BUY_MAP (from screenshot)
 # ---------------------------
@@ -104,9 +173,11 @@ BUY_MAP = {
     ]
 }
 
+
 # ---------------------------
 # SELL_MAP (from screenshot)
 # ---------------------------
+
 SELL_MAP = {
     "SBI MF": [
         "HDFC Bank",
@@ -163,9 +234,11 @@ SELL_MAP = {
     ]
 }
 
+
 # ---------------------------
 # COMPLETE_EXIT (from screenshot)
 # ---------------------------
+
 COMPLETE_EXIT = {
     "ICICI Pru MF": [
         "Tata Elxsi",
@@ -194,9 +267,7 @@ COMPLETE_EXIT = {
         "CEAT",
         "ACC"
     ],
-    "Aditya Birla SL MF": [
-        # screenshot shows no complete-exit items under ABSL; keep empty list to be explicit
-    ],
+    "Aditya Birla SL MF": [],
     "Mirae MF": [
         "NMDC"
     ],
@@ -205,8 +276,6 @@ COMPLETE_EXIT = {
     ]
 }
 
-# Ensure empty list for Aditya Birla SL if the language of the file requires it:
-COMPLETE_EXIT["Aditya Birla SL MF"] = COMPLETE_EXIT.get("Aditya Birla SL MF", [])
 
 # ---------------------------
 # FRESH_BUY (from screenshot)
@@ -251,9 +320,7 @@ FRESH_BUY = {
         "Hindustan Aeronautics",
         "Ujjivan Small Finance Bank"
     ],
-    "Mirae MF": [
-        # empty in screenshot
-    ],
+    "Mirae MF": [],
     "DSP MF": [
         "Eternal",
         "Hindustan Aeronautics",
@@ -261,6 +328,7 @@ FRESH_BUY = {
     ]
 }
 
+
 def sanitize_map(m):
     out = {}
     for k, vals in m.items():