Datsette gpt plugin

.store/.0_import/Import tools/CSV2DB.py

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+import os
+import subprocess
+import tkinter as tk
+from tkinter import filedialog, messagebox
+
+# Create the GUI window
+window = tk.Tk()
+
+# Function to handle button click and execute the conversion
+def convert_csv_to_db():
+    # Prompt for input file
+    csv_file = filedialog.askopenfilename(title="Select CSV File", filetypes=[("CSV Files", "*.csv")])
+
+    # Prompt for output directory
+    output_directory = filedialog.askdirectory(title="Select Output Directory")
+
+    # Prompt for output file name (without extension)
+    output_name = tk.simpledialog.askstring("Output File Name", "Enter the desired name for the output database file (without extension): ")
+
+    if csv_file and output_directory and output_name:
+        # Append a unique number to the output file name
+        output_file = output_name + "_01.db"
+        index = 1
+        while output_file in os.listdir(output_directory):
+            index += 1
+            output_file = f"{output_name}_{index:02d}.db"
+
+        try:
+            # Execute the csvs-to-sqlite command using subprocess
+            subprocess.run(["csvs-to-sqlite", csv_file, os.path.join(output_directory, output_file)], check=True)
+            messagebox.showinfo("Conversion Successful", "CSV file converted to SQLite database successfully!")
+        except subprocess.CalledProcessError as e:
+            messagebox.showerror("Conversion Error", f"An error occurred during the conversion:\n{e}")
+    else:
+        messagebox.showwarning("Input Missing", "Please provide all required input.")
+
+# Create the button
+button = tk.Button(window, text="Convert CSV to SQLite DB", command=convert_csv_to_db)
+
+# Configure the button position
+button.pack()
+
+# Start the GUI event loop
+window.mainloop()

.store/.0_import/Import tools/atomFeedStructurePuller.py

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+import requests
+from bs4 import BeautifulSoup
+
+url = "https://example.com/atom_feed.xml"
+response = requests.get(url)
+soup = BeautifulSoup(response.text, 'xml')
+
+feed_elements = {}
+
+for element in soup.find_all():
+    tag_name = element.name
+    if tag_name not in feed_elements:
+        feed_elements[tag_name] = []
+
+    attributes = {}
+    for attr, value in element.attrs.items():
+        attributes[attr] = value
+
+    feed_elements[tag_name].append(attributes)
+
+for tag_name, attributes_list in feed_elements.items():
+    print(f"{tag_name}:")
+    for attributes in attributes_list:
+        print(f"  - {attributes}")

.store/.0_import/Import tools/atomFeedStructurePullerV2.py

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+import requests
+from bs4 import BeautifulSoup
+
+url = "https://www.upwork.com/ab/feed/jobs/atom?q=Photoshop&sort=recency&job_type=hourly%2Cfixed&proposals=0-4%2C5-9%2C10-14%2C15-19&budget=50-&verified_payment_only=1&hourly_rate=25-&paging=0%3B50&api_params=1&securityToken=5d53fdd5809c340cfe7034341784f715c8433ec350191c7f0ee5607d91b69227dc8481c3ef14b654d0a87a7211a52622e824e33ae3cce04de57c7398856752ec&userUid=1327243219150897152&orgUid=1327243219155091457"
+response = requests.get(url)
+soup = BeautifulSoup(response.text, 'xml')
+
+feed_elements = {}
+
+for element in soup.find_all():
+    tag_name = element.name
+    if tag_name not in feed_elements:
+        feed_elements[tag_name] = []
+
+    attributes = {}
+    for attr, value in element.attrs.items():
+        attributes[attr] = value
+
+    feed_elements[tag_name].append(attributes)
+
+for tag_name, attributes_list in feed_elements.items():
+    print(f"{tag_name}:")
+    for attributes in attributes_list:
+        print(f"  - {attributes}")

.store/.0_import/Prototype/Default.py

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+import os
+import sqlite3
+import pandas as pd
+import sys
+
+# Check if the correct number of arguments have been provided
+if len(sys.argv) != 2:
+    print(r"Usage: 'C:\Users\Martin\OneDrive - studiocordillera.com 1\Documents\.GITHUB_Repos\datasette\venv\Scripts\python.exe' Default.py <csv_file>")
+    sys.exit(1)
+
+# Assign arguments to variables
+csv_file = sys.argv[1]
+output_directory = r"C:\Users\Martin\OneDrive - studiocordillera.com 1\Documents\.GITHUB_Repos\datasette\.store\.0_import\Prototype"  # Replace with your default directory
+output_name = "default_output"  # Replace with your default output name
+
+# Preview the first 5 lines of the CSV file
+df = pd.read_csv(csv_file)
+print(df.head())
+
+# Append a unique number to the output file name
+index = 1
+output_file = output_name + "_01.db"
+while output_file in os.listdir(output_directory):
+    index += 1
+    output_file = f"{output_name}_{index:02d}.db"
+
+# Create connection to SQLite database
+conn = sqlite3.connect(os.path.join(output_directory, output_file))
+
+# Use pandas to_sql() function to write records stored in DataFrame to SQLite database
+df.to_sql('table_name', conn, if_exists='replace', index=False)
+
+# Close connection
+conn.close()
+
+# Reopen the SQLite connection
+conn = sqlite3.connect(os.path.join(output_directory, output_file))
+# Query the database and print out the result
+df_check = pd.read_sql_query("SELECT * from table_name", conn)
+print(df_check)
+
+# Close the SQLite connection again
+conn.close()
+
+print("CSV file converted to SQLite database successfully!")
+
+# Wait for user input before exiting
+input("Press any key to continue...")
+

.store/.0_import/Prototype/Drop.bat

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+@echo off
+setlocal
+
+:: Get the full path of the dropped file
+set "csv_file=%~f1"
+
+:: Activate the virtual environment
+call "C:\Users\Martin\OneDrive - studiocordillera.com 1\Documents\.GITHUB_Repos\datasette\venv\Scripts\activate.bat"
+
+:: Call the Python script with the full path of the dropped file as an argument
+python "C:\Users\Martin\OneDrive - studiocordillera.com 1\Documents\.GITHUB_Repos\datasette\.store\.0_import\Prototype\Default.py" "%csv_file%"
+
+:: Add a pause to see the output in the cmd window
+pause
+
+endlocal