v1.36 - Data Source updated

* CSV links updated to New NSE Server (#113)
* New Workflow Job added for Squashing Commits of actions-data-downloads
* Pillow added to requirements for MacOS build
* Codefactor Improvements

.github/workflows/squash.py

@@ -18,22 +18,22 @@
     if c_msg in l:
         cnt += 1
     else:
-        hash = l.split(" ")[0]
+        commit_hash = l.split(" ")[0]
         cnt -= 1
         break
 
 
 print(f"[+] Reset at HEAD~{cnt}")
-print(f"[+] Reset hash = {hash}")
-print(f"git reset --soft {hash}")
+print(f"[+] Reset hash = {commit_hash}")
+print(f"git reset --soft {commit_hash}")
 print(f"git commit -m '{c_msg}'")
 
 if cnt < 1:
     print("[+] No Need to Squash! Skipping...")
 else:
     os.system(f"git reset --soft HEAD~{cnt}")
     os.system(f"git commit -m '{c_msg}'")
-    os.system(f"git push")
+    os.system(f"git push -f")
 
 os.remove("msg.log")
 sleep(5)

.github/workflows/workflow-download-data.yml

@@ -55,7 +55,7 @@ jobs:
         rmdir /s /q actions-data-download
         mkdir actions-data-download
         python src/screenipy.py -d
-        copy "stock_data_*.pkl" "actions-data-download"     
+        copy "stock_data_*.pkl" "actions-data-download"
 
     - name: Push Pickle Data
       run: |

requirements.txt

@@ -21,6 +21,7 @@ ta-lib
 tabulate
 yfinance
 alive-progress==1.6.2
+Pillow
 altgraph # Installed as dependency for pyinstaller
 atomicwrites # Installed as dependency for pytest
 attrs # Installed as dependency for pytest

src/classes/Changelog.py

@@ -7,7 +7,7 @@
 
 from classes.ColorText import colorText
 
-VERSION = "1.35"
+VERSION = "1.36"
 
 changelog = colorText.BOLD + '[ChangeLog]\n' + colorText.END + colorText.BLUE + '''
 [1.00 - Beta]
@@ -168,5 +168,8 @@
 1. Separate Algorithms for NR depending on Live/After-Market hours.
 2. NRx results fixed in Momentum Gainer Screening.
 
+[1.36]
+1. Updated CSV URLs to New NSE Site. (#113)
+
 --- END ---
 ''' + colorText.END

src/classes/Fetcher.py

@@ -39,17 +39,18 @@ def fetchCodes(self, tickerOption,proxyServer=None):
         if tickerOption == 12:
             return list(nse.get_stock_codes(cached=False))[1:]
         tickerMapping = {
-            1: "https://www1.nseindia.com/content/indices/ind_nifty50list.csv",
-            2: "https://www1.nseindia.com/content/indices/ind_niftynext50list.csv",
-            3: "https://www1.nseindia.com/content/indices/ind_nifty100list.csv",
-            4: "https://www1.nseindia.com/content/indices/ind_nifty200list.csv",
-            5: "https://www1.nseindia.com/content/indices/ind_nifty500list.csv",
-            6: "https://www1.nseindia.com/content/indices/ind_niftysmallcap50list.csv",
-            7: "https://www1.nseindia.com/content/indices/ind_niftysmallcap100list.csv",
-            8: "https://www1.nseindia.com/content/indices/ind_niftysmallcap250list.csv",
-            9: "https://www1.nseindia.com/content/indices/ind_niftymidcap50list.csv",
-            10: "https://www1.nseindia.com/content/indices/ind_niftymidcap100list.csv",
-            11: "https://www1.nseindia.com/content/indices/ind_niftymidcap150list.csv"}
+            1: "https://archives.nseindia.com/content/indices/ind_nifty50list.csv",
+            2: "https://archives.nseindia.com/content/indices/ind_niftynext50list.csv",
+            3: "https://archives.nseindia.com/content/indices/ind_nifty100list.csv",
+            4: "https://archives.nseindia.com/content/indices/ind_nifty200list.csv",
+            5: "https://archives.nseindia.com/content/indices/ind_nifty500list.csv",
+            6: "https://archives.nseindia.com/content/indices/ind_niftysmallcap50list.csv",
+            7: "https://archives.nseindia.com/content/indices/ind_niftysmallcap100list.csv",
+            8: "https://archives.nseindia.com/content/indices/ind_niftysmallcap250list.csv",
+            9: "https://archives.nseindia.com/content/indices/ind_niftymidcap50list.csv",
+            10: "https://archives.nseindia.com/content/indices/ind_niftymidcap100list.csv",
+            11: "https://archives.nseindia.com/content/indices/ind_niftymidcap150list.csv"
+        }
 
         url = tickerMapping.get(tickerOption)
 

src/release.md

@@ -3,17 +3,16 @@
 
 Celebrating more than 1,000 Downloads - Thank You for your support <3
 
-1. **Narrow Range** Algorithm chages dynamically with Live/Post-Market Analysis - Try `Option 6 > 6`
-2. Alternate Data Source for faster After-Market Analysis - Optimizations and  Cosmetic Updates!
-3. **Experimental** Feature - **VCP** Detection - Try `Option > 7 > 4`
+1. Data Sources updated to New NSE Website.
+2. **Narrow Range** Algorithm chages dynamically with Live/Post-Market Analysis - Try `Option 6 > 6`
+3. Alternate Data Source for faster After-Market Analysis - Optimizations and  Cosmetic Updates!
 4. **New Tickers Group** - Screen only for **Newly Listed IPOs** (Last 1 Yr)
 5. **Volume Spread Analysis** : BugFixes for catching Bullish Reversals - Try `Option > 6 > 5`
-6. BugFixes for Stock Data caching with [@swarpatel23](https://github.com/swarpatel23)
 
 ## Downloads
-* For :desktop_computer: **Windows** users, download **[screenipy.exe](https://github.com/pranjal-joshi/Screeni-py/releases/download/1.35/screenipy.exe)**
-* For :penguin: **Linux** users, download **[screenipy.bin](https://github.com/pranjal-joshi/Screeni-py/releases/download/1.35/screenipy.bin)**
-* For :apple: **MacOS** users, download **[screenipy.run](https://github.com/pranjal-joshi/Screeni-py/releases/download/1.35/screenipy.run)** ([Read Installation Guide](https://github.com/pranjal-joshi/Screeni-py/blob/main/INSTALLATION.md#for-macos))
+* For :desktop_computer: **Windows** users, download **[screenipy.exe](https://github.com/pranjal-joshi/Screeni-py/releases/download/1.36/screenipy.exe)**
+* For :penguin: **Linux** users, download **[screenipy.bin](https://github.com/pranjal-joshi/Screeni-py/releases/download/1.36/screenipy.bin)**
+* For :apple: **MacOS** users, download **[screenipy.run](https://github.com/pranjal-joshi/Screeni-py/releases/download/1.36/screenipy.run)** ([Read Installation Guide](https://github.com/pranjal-joshi/Screeni-py/blob/main/INSTALLATION.md#for-macos))
 
 ## How to use?