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Description:

gssql 0.0.4

gs-sql

gs-sql -
this module is a Python client library for the GoogleSheetAPI data project management platform using SQL
Installation
Install the current version with PyPI:
pip install gs-sql

Or from Github:
https://github.com/EvgeniBondarev/gs-sql/archive/refs/heads/main.zip

Usage
At the first login, a browser window will open for confirmation, and a token.pickle file will be created in the directory where your credentials.json file is located to interact with the API.
from gs_sql.sheetsql import SheetsQL

gs = SheetsQL()

gs.authorization("files//credentials.json")

Afterwards, you can create a table/database in Google Sheets either using standard methods or through SQL queries.
from gs_sql.dataclasses import GsDataBase

new_base = gs.execute("""CREATE DATABASE NewBase""")

gs.connect(new_base) # or gs.connect(GsDataBase(id="1fB_1uqU8FklXAQdn9XG4QK3HG4l5U0_vvM3abQ3aiuE", name="NewBase"))

Finally, you can now create your first table.
query = gs.execute("CREATE TABLE Users (id, name)")

Final code.
from gs_sql.sheetsql import SheetsQL

gs = SheetsQL()

gs.authorization("files//credentials.json")

new_base = gs.execute("""CREATE DATABASE NewBase""")

gs.connect(new_base)

query = gs.execute("CREATE TABLE Users (id, name)")
print(query)

Available types of sql queries
DDL

No.
Command
Description

1
CREATE
Creates a new table, view, or other object in the database

2
ALTER
Modifies an existing object in the database, such as a table

3
DROP
Deletes an existing table, view, or other object in the database

DML

N
Command
Description

1
SELECT
Extracts records from one or more tables

2
INSERT
Creates records

3
UPDATE
Modifies records

4
DELETE
Deletes records

Examples
CREATE DATABASE
gs = SheetsQL()

gs.authorization("files//credentials.json")

new_base = gs.execute("""CREATE DATABASE NewBase""")

sql.connect(new_base)

CREATE TABLE
query = gs.execute("CREATE TABLE Users (id, name)")

query = gs.execute("CREATE TABLE IF NOT EXISTS Users (id, name)")

ALTER TABLE
query = gs.execute("ALTER TABLE Users DROP COLUMN id;")

query = gs.execute("ALTER TABLE Users RENAME COLUMN name TO userName;")

query = gs.execute("ALTER TABLE Users ALTER COLUMN NewId, NewName;")

DROP TABLE
query = gs.execute("DROP TABLE Users;")

SELECT
query = gs.execute("SELECT * FROM tableName;")

query = gs.execute("SELECT col1, col2, ...colN FROM tableName;")

query = gs.execute("SELECT DISTINCT col1, col2, ...colN FROM tableName;")

query = gs.execute("""SELECT col1, col2, ...colN
FROM tableName
WHERE condition;""")

query = gs.execute("""SELECT col1, col2, ...colN
FROM tableName
WHERE condition1 AND|OR condition2;""")

query = gs.execute("""SELECT col2, col2, ...colN
FROM tableName
WHERE colName IN (val1, val2, ...valN);""")

query = gs.execute("""SELECT col1, col2, ...colN
FROM tableName
WHERE colName BETWEEN val1 AND val2;""")

query = gs.execute("""SELECT col1, col2, ...colN
FROM tableName
WHERE colName LIKE pattern;""")

query = gs.execute("""SELECT col1, col2, ...colN
FROM tableName
WHERE condition
ORDER BY colName;""")

query = gs.execute("""SELECT SUM(colName)
FROM tableName
WHERE condition
GROUP BY colName;""")

query = gs.execute("""SELECT COUNT(colName)
FROM tableName
WHERE condition;""")

INNER JOIN
query = gs.execute("""SELECT Orders.order_id, Orders.order_date, Customers. customer_name
FROM Orders
INNER JOIN Customers ON Orders.customer_id = customer_id""")

INSERT INTO
query = gs.execute("""INSERT INTO table_name
VALUES (value1, value2, value3, ...);""")

UPDATE
query = gs.execute("""UPDATE table_name
SET column1 = value1, column2 = value2, ...
WHERE condition;""")

DELETE
query = gs.execute("""DELETE FROM table_name WHERE condition;""")

Configuration
from gs_api.sheetsql import SheetsQL
from gs_api.dataclasses import ResponseType

gs = SheetsQL()

gs.authorization("files//credentials.json")

sql.set_configuration(colum_color=[(0.85, 0.85, 0.85)], # Color in RGB format
response_type=ResponseType.List) # Standard List or Pandas DataFrame
```s