python

GSheetDB

A simple way to use Google Sheet as your Data Base with own authentication system.

No google workspace project is needed.

Install

pip install gsheetdb

Setup

1. Create a google sheet
2. Add as many sheets (tables) as you want
3. First line is table header, first column must be id
4. Table relationship: set a column header with the name of a table, its content is the id (or ids) of the other table
5. Go to "Extensions > App Script"
6. Copy the content of the file gsheet.js to the current file.
7. Create a new deploy: "Deploy > New deployment"
   • Select type: "Web app"
   • Description: Anything you wanted
   • Execute as: "Me (your_email@gmail.com)"
   • Who has access: "Anyone"
8. Copy Deployment ID

Usage

from gsheetdb import Sheet

const sheet = Sheet({ 'deploymentId': '123456789abcdef' })

Get Tables Schemas

sheet.get()

Get Table Item

Return all items

const data = sheet.get('Sheet1')

Add Item

Ids are generated automaticaly

sheet.set('Sheet1', [
    {'col1': 'val1', 'col2': 2, 'col3': datetime.datetime()},
    {'col1': 'val2', 'col2': 3, 'col3': datetime.datetime()},
])

Modify Item

Same API as set but with id. If id doesn't exist, it fails.

sheet.set('Sheet1', [
    {id: 1234, 'col1': 'val2'}
])

Delete Item

Remove by item ids

sheet.rm('Sheet1', [1234])

New Table

sheet.new('MyNewSheetName', ['field1', 'field2', 'field3'])

Query Items

Add the query to get function.

Query can be object or array.

General rules:

• =: field: value
• !=: field: {ne: value}. ne stands for "not equal"
• >: field: {gt: value}. gt stands for "greater than"
• <: field: {lt: value}. lt stands for "lower than"
• >=: field: {ge: value}. ge stands for "greater or equals to"
• <=: field: {le: value}. le stands for "greater or equals to"
• AND: curly brace {A, B, C} read as "A and B and C"
• OR: square brace [A, B, C] read as "A or B or C"

Examples:

Get all items where column col1 is equal to 123

sheet.get('Sheet1', {'col1': 123})

Get all items where column col1 == 123 AND col2 == 456

sheet.get('Sheet1', {'col1': 123, 'col2': 456})

Get all items where column col1 == 123 OR col1 == 456

sheet.get('Sheet1', [{'col1': [123, 456]}])
// OR
sheet.get('Sheet1', [{'col1': 123}, {'col1': 456}])

Get all items where column col1 > 123

sheet.get('Sheet1', {'col1': {'gt': 123}})

Get all items where column col1 < 123

sheet.get('Sheet1', {'col1': {'lt': 123}})

Get all items where column col1 >= 123

sheet.get('Sheet1', {'col1': {'ge': 123}})

Get all items where column col1 >= 123

sheet.get('Sheet1', {'col1': {'ge': 123}})

Get all items from interval col1 > 123 AND col1 <= 456 (for short (123, 456])

sheet.get('Sheet1', {'col1': {'gt': 123, le: 456}})

Get all items where col1 belongs to interval (1, 3] OR from interval [14, 16)

sheet.get('Sheet1', {'col1': [{'gt': 1, le: 3}, {'ge': 14, 'lt': 16}]})

Get all items where col1 == 30 OR belongs to interval (1, 3] OR to interval [14, 16)

sheet.get('Sheet1', {'col1': [30, {'gt': 1, 'le': 3}, {'ge': 14, 'lt': 16}]})

Auth (Optional)

Create a table _user with the following columns:

1. id to identify each user.

2. token or username and password depending on how you want to do the login.

3. permission should contain either admin, user or blocked (default).

   • admin can read (r), write (w) and delete (x) access to all tables.
   • user can only read recursively tables that reference its user's id.
   • blocked can not do rwx.

4. read allow or disable read to tables, give their names splited by ",".

5. write allow or disable write to tables, give their names splited by ",".

6. delete allow or disable delete to tables, give their names splited by ",".

You can change the name of Auth table here.

Get auth info

sheet.me()

Example

Table: _user

id	token	permission	read	write	delete
1	user01	admin			Table3
2	user02	user
3	user03	block	Table3

Table: Table1

id	_user	col1	Table2
10	2	123	456
11	4	321	789

Table: Table2

id	my_data
456	123

Table: Table3

id	temperature
14	43.4

user01 can read, write and delete items from all tables except delete Table3.

user02 can not get Table2 directly, instead he can ask Table1, because it has a reference to him (by its user's id). By asking Table1 he will only get the entries where column _user contains its user's id. In this example he will get the entry id == 10. This entry has the column Table2 which references to a valid entry on Table2, so he will get this entry as well. Note that he has no access to Table3.

user03 is blocked by default he can only read Table3.