First full implementation

All features add

Author: GreatScott

.gitignore

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+# General Python
+__pycache__/
+*.py[cod]
+*$py.class
+
+# Virtual Environment
+.env/
+venv/
+
+# Environment Variables
+.env
+
+# IDEs and editors
+.idea/
+.vscode/
+*.swp
+*.swo
+
+
+# Build
+build/
+dist/
+*.egg-info/
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+
+# PyPI upload artifacts
+*.egg-info/
+*.eggs
+MANIFEST
+
+
+# Logs and Debugging
+*.log
+
+# IDEs and Editors
+.idea/
+.vscode/
+
+# Testing Cache
+.tox/
+htmlcov/
+

MANIFEST.in

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+# Exclude examples and tests from the PyPI package
+exclude examples/*
+exclude tests/*
+

README.md

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 # py-appsheet
-A no frills Python library for interacting with Google Appsheet
+A no-frills Python library for interacting with Google AppSheet
+
+## Background and Setup
+* To work with this you need to create an AppSheet App first (i.e. not just an AppSheet Database). 
+* To enable working with the API, you must go into the app's settings (gear icon) and then the integrations sub-item on the left. There you will find the App ID (make sure it's switched to enabled) and can create an Application Access key.
+* Be sure to not write these explicitly into your code. Instead it's better to store these in a .env file (make sure .gitignore lists the .env if working with a repo) and use `os.environ.get()` to pull in the secret values to work with them.
+* Some basic troubleshooting tips:
+	* Make sure that you have your key column set correctly and that your schema is up-to-date (can be regenerated in the data view for the application)
+	* Leverage Appsheet's Log Analyzer to get in-depth error messages. Can be access under your Appsheet App -> icon that looks like a pulse -> "Monitor" submenu -> "Audit History" -> "Launch log analyzer"
+
+
+
+## Available Methods
+
+### Find Items
+1. Search for a Specific Value in Any Column
+`result = client.find_item("Table Name", "ABC123")
+`
+2. Search for a Specific Vaue in a Specific Column
+`result = client.find_item("Table Name", "ABC123", target_column="column name")`
+
+### Add Items (New Rows)
+
+```
+rows_to_add = [
+    {
+        "Generation Date": "1700000000",
+        "UserID": "[email protected]",
+        "Serial Number Hex": "ABC123",
+        "SKU": "SKU123",
+        "Batch": "Batch01",
+    },
+    {
+        "Generation Date": "1700000001",
+        "UserID": "[email protected]",
+        "Serial Number Hex": "DEF456",
+        "SKU": "SKU456",
+        "Batch": "Batch02",
+    }
+]
+
+
+# Add rows to the AppSheet table
+response = client.add_item("Inventory Table", rows_to_add)
+
+# Process the response
+print("Response from AppSheet API:", response)
+
+
+```
+
+### Edit Item
+
+Note: when updating an entry, the dictionary's first entry in the row data should be the designated key column (as defined in the AppSheet app settings for that table)
+
+```
+# Example usage of edit_item
+serial_number = "ABC123"
+sku = "SKU456"
+
+row_data = {
+    "Serial Number Hex": serial_number,  # Key column for the table
+    "Bar Code": f"Inventory_Images/{serial_number}_serial_barcode.svg",
+    "QR Code": f"Inventory_Images/{serial_number}_serial_qr.svg",
+    "SKU Bar Code": f"Inventory_Images/{sku}_sku_barcode.svg"
+}
+
+response = client.edit_item("Inventory Table", "Serial Number Hex", row_data)
+
+if response.get("status") == "OK":
+    print("Row updated successfully with image paths.")
+else:
+    print(f"Failed to update row. API response: {response}")
+
+```
+
+### Delete Row by Key
+
+```
+# Example: Delete a row by its key
+# "Serial Number Hex" is key col name
+
+response = client.delete_row("Inventory Table", "Serial Number Hex", "ABC123") 
+
+```
+
+
+## Known Limitations and Important Notes
+*(Contributions Welcome!)*
+
+* Querying for specific rows that contain an item of interest currently pulls all rows and filters locally.
+* Finding items currently pulls all rows and returns it in whatever, but the API does appear to have support for filtering and ordering. [See here](https://support.google.com/appsheet/answer/10105770?hl=en&ref_topic=10105767&sjid=1506075158107162628-NC)
+* Appsheet table names, which are used in URL-encoding, are assumed to not contain any special characters other than spaces. I.e. you can supply a table name like `"my table"` and the library will convert this to `"my%20table"` as needed under the hood, but does not handle other special characters that may mess with URL-encoding. 
+
+## Additional Credits
+Credit where credit is due. ChatGPT was leveraged extensively to put this together quickly. 
+
+## Contributing
+Contributions are welcome. Please submit pull requests to the dev branch.

examples/example.py

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+import os
+from dotenv import load_dotenv
+from py_appsheet.client import AppSheetClient
+
+# Step 1: Load environment variables from .env file
+load_dotenv()
+
+APPSHEET_APP_ID = os.getenv("APPSHEET_APP_ID")
+APPSHEET_API_KEY = os.getenv("APPSHEET_API_KEY")
+
+if not APPSHEET_APP_ID or not APPSHEET_API_KEY:
+    raise Exception("AppSheet App ID or API Key is missing. Check your .env file.")
+
+# Step 2: Initialize the AppSheetClient
+client = AppSheetClient(app_id=APPSHEET_APP_ID, api_key=APPSHEET_API_KEY)
+
+# Step 3: Test table name and key column
+TABLE_NAME = "Example Table Name Here"
+KEY_COLUMN = "Title Example"
+
+# Step 4: Add a new row to the table
+print("Adding a new row...")
+new_row = {
+    "Title Example": "Test Row 1",
+    "Another Column": "Value 1"
+}
+
+response = client.add_items(TABLE_NAME, [new_row])
+print("Add response:", response)
+
+input("\nPress Enter to continue to the next step...")
+
+# Step 5: Find the newly added row
+print("\nFinding the new row...")
+find_response = client.find_items(TABLE_NAME, "Test Row 1", KEY_COLUMN)
+print("Find response:", find_response)
+
+input("\nPress Enter to continue to the next step...")
+
+# Step 6: Edit the newly added row
+print("\nEditing the new row...")
+updated_row = {
+    "Title Example": "Test Row 1",  # Must include the key column and its value
+    "Another Column": "Updated Value"
+}
+
+edit_response = client.edit_item(TABLE_NAME, KEY_COLUMN, updated_row)
+print("Edit response:", edit_response)
+
+input("\nPress Enter to continue to the next step...")
+
+# Step 7: Delete the row
+print("\nDeleting the new row...")
+delete_response = client.delete_row(TABLE_NAME, KEY_COLUMN, "Test Row 1")
+print("Delete response:", delete_response)

py_appsheet/__init__.py

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+from .client import AppSheetClient
+
+__all__ = ["AppSheetClient"]