script for merging csv

scripts/merge_csv.py

@@ -0,0 +1,37 @@
+import glob
+import pandas as pd
+import openpyxl
+ 
+# list all csv files only
+csv_files = glob.glob('*.{}'.format('csv'))
+# print(csv_files)
+
+df_csv_append = pd.DataFrame()
+ 
+first = True
+
+# merge the CSV files
+for file in csv_files:
+    if first:
+        df_csv_append = pd.read_csv(file)
+        colname = file.split('.')[0]
+        df_csv_append.rename(columns={'ca': colname}, inplace = True)
+        df_csv_append = df_csv_append.drop(['1'], axis=1)
+        first = False
+    else:
+        df = pd.read_csv(file)
+        colname = file.split('.')[0]
+        df.rename(columns={'ca': colname}, inplace = True)
+        df = df.drop(['1'], axis=1)
+        df_csv_append = df_csv_append.merge(df, on='tv')
+ 
+print(df_csv_append[df_csv_append['tv'].between(300, 700)])
+
+df_csv_append = df_csv_append[df_csv_append['tv'].between(300, 700)]
+
+df_csv_append.rename(columns={'tv': "123_tv"}, inplace = True)
+
+df_csv_append = df_csv_append.reindex(sorted(df_csv_append.columns), axis=1)
+
+df_csv_append.to_excel("D27 Merged.xlsx", index=False)
+df_csv_append.to_csv("D27 Merged.csv", index=False)

scripts/merge_csv_k.py

@@ -0,0 +1,78 @@
+import csv
+import os
+from tkinter import Tk, filedialog
+
+def merge_csv_files(input_files, output_file):
+file_contents = {}
+header = ['First Column']
+
+# Read all selected CSV files
+for filepath in input_files:
+filename = os.path.basename(filepath)
+with open(filepath, 'r') as file:
+csv_reader = csv.reader(file)
+next(csv_reader) # Skip the header row
+for row in csv_reader:
+try:
+value = float(row[0])
+if 300 <= value <= 700: # Check if the value is within the range
+if row[0] not in file_contents:
+file_contents[row[0]] = {}
+
+file_contents[row[0]][filename] = row[1]
+
+if filename not in header:
+header.append(filename)
+except ValueError:
+pass
+
+# Write the merged contents into the output file
+with open(output_file, 'w', newline='') as file:
+csv_writer = csv.writer(file)
+csv_writer.writerow(header)
+
+for key, values in file_contents.items():
+row = [key]
+
+for filename in header[1:]:
+row.append(values.get(filename, ''))
+
+csv_writer.writerow(row)
+
+print(f'Merged CSV files saved to: {output_file}')
+
+
+def extract_data_from_merged_file(merged_file):
+data = []
+with open(merged_file, 'r') as file:
+csv_reader = csv.reader(file)
+header = next(csv_reader) # Get the header row
+for i, row in enumerate(csv_reader, start=1):
+if i in (365, 750):
+extracted_row = []
+for j, value in enumerate(row[1:], start=1):
+column_name = header[j]
+extracted_row.append((column_name, value))
+data.append(extracted_row)
+return data
+
+
+if __name__ == "__main__":
+# Create a file dialog to select multiple CSV files
+root = Tk()
+root.withdraw()
+input_files = filedialog.askopenfilenames(title='Select CSV files', filetypes=(('CSV files', '*.csv'),))
+
+# Ensure at least one file is selected
+if input_files:
+# Specify the output file path
+output_file = 'merged.csv'
+
+merge_csv_files(input_files, output_file)
+
+extracted_data = extract_data_from_merged_file(output_file)
+
+for row in extracted_data:
+print(row)
+else:
+print('No files selected. Program will exit.')

src/App.js

@@ -7,14 +7,27 @@ import { getAnalytics } from "firebase/analytics";
 import { getFirestore, collection, getDocs, doc, onSnapshot, query } from "firebase/firestore";
 import Card from './components/Card';
 
+// dev and test
+// const firebaseConfig = {
+//   apiKey: "AIzaSyBFl_YkJ5PMIvMY3G70313SyrqemjFnUv8",
+//   authDomain: "hpos-af3cc.firebaseapp.com",
+//   projectId: "hpos-af3cc",
+//   storageBucket: "hpos-af3cc.appspot.com",
+//   messagingSenderId: "650071678820",
+//   appId: "1:650071678820:web:ce50538bf46632d46c6471",
+//   measurementId: "G-6JHQ47S9DD"
+// };
+
+
+// prod
 const firebaseConfig = {
-  apiKey: "AIzaSyBFl_YkJ5PMIvMY3G70313SyrqemjFnUv8",
-  authDomain: "hpos-af3cc.firebaseapp.com",
-  projectId: "hpos-af3cc",
-  storageBucket: "hpos-af3cc.appspot.com",
-  messagingSenderId: "650071678820",
-  appId: "1:650071678820:web:ce50538bf46632d46c6471",
-  measurementId: "G-6JHQ47S9DD"
+  apiKey: "AIzaSyBF4pLZReAedU4dWX1eRJNFNIaOIz2xk4s",
+  authDomain: "hpos-prod.firebaseapp.com",
+  projectId: "hpos-prod",
+  storageBucket: "hpos-prod.appspot.com",
+  messagingSenderId: "1012719870714",
+  appId: "1:1012719870714:web:fcd00acef93f6612de5f43",
+  measurementId: "G-B0NZ7DEF69"
 };
 
 const app = initializeApp(firebaseConfig);