Metadata-Version: 2.1
Name: devart-quickbooks-connector
Version: 1.3.0
Summary: New level of functionality and performance in data access via Python
Home-page: https://devart.com
Author: Devart
Author-email: support@devart.com
License: Other/Proprietary License
Project-URL: Homepage, http://devart.com/python/quickbooks
Project-URL: Download, http://devart.com/python/quickbooks/download.html
Project-URL: History, http://devart.com/python/quickbooks/revision_history.html
Project-URL: License, https://www.devart.com/python/eula.html
Project-URL: Documentation, http://docs.devart.com/python/quickbooks/overview.htm
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

# Python Connector for QuickBooks Online #

Python Connector for QuickBooks Online is a connectivity solution
for accessing QuickBooks Online Online from Python applications to read and
update data. It fully implements the Python DB API 2.0 specification.
The connector is distributed as a wheel package for Windows and Windows
Server.

Standard SQL syntax

The connector fully supports the ANSI SQL standard and lets you execute SQL
statements against your QuickBooks Online data just like you would normally
work with relational databases. Simple queries are directly converted
to QuickBooks Online API calls and executed on the QuickBooks Online side.

## Connecting ##

To establish a connection to a QuickBooks Online database, import
the connector and use the `connect()` method with your connection parameters.

### Import the connector ###

First, import the QuickBooks Online connector module:

```
import devart.quickbooks as quickbooks
```

### Establish a connection ###

Call the `connect()` method and obtain a `connection` object.

```
response = quickbooks.signin()
my_connection = quickbooks.connect(
    CompanyId=response["Company Id"],
    RefreshToken=response["Refresh Token"]
)
```

Replace the example values with your actual connection values.

## Querying data ##

Once connected to QuickBooks Online, you can execute SQL queries to retrieve
data from your QuickBooks Online account.

### Execute a query ###

Create a `cursor` object using the `cursor()` connection method.
```
my_cursor = my_connection.cursor()
```
Execute a SQL query using the `execute()` cursor method.
```
my_cursor.execute("SELECT * FROM employees")
```
Retrieve results using one of the `fetch*()` methods.
```
for row in my_cursor.fetchall(): 
    print(row)
```

### Parameterized queries ###

You can use parameterized queries to pass variable values to your SQL statements. This allows you to reuse the same query with different data and helps to prevent SQL injection attacks.

Pass parameters as a list or tuple to the `execute()` method:

```
query = "SELECT Id, Name FROM Contact WHERE Name = ? AND Email = ?"
params = ["Jordan Sanders", "jordansanders@example.com"]
my_cursor.execute(query, params)
results = my_cursor.fetchall()
for row in results:
    print(row)
```

Each placeholder `?` in the query is replaced with a corresponding value from the parameter list.

## Ordering and activating the license ##

You can purchase a license for the connector on the ordering page:             
https://www.devart.com/python/quickbooks/ordering.html

To activate the license, follow the instructions in the documentation:             
https://docs.devart.com/python/quickbooks/activate-a-license.htm

## What's new ##

Python Connector for QuickBooks Online 1.3

- Added support for Python 3.14
