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https://github.com/sslivkoff/toolsql


https://github.com/sslivkoff/toolsql

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# toolsql

toolsql makes it easy to build sql queries and execute those queries

toolsql's goals:
- provide identical interfaces to sqlite + postgresql
- provide nearly identical interfaces for synchronous + `async` usage
- minimize startup import time
- maximize read / write performance
- tight integration with connectorx and polars
- make it easy to drop into raw SQL when needed
- use basic python datatypes instead of custom objects
- mypy typing with `strict=True`

## Contents
- [Installation](#installation)
- [Example Usage](#example-usage)
- [Reference](#reference)

## Installation
- `pip install toolsql`
- requires python 3.7 - 3.11

## Example Usage

1. [Specify Database Configuration](#specify-database-configuration)
2. [Specify Table Schema](#specify-table-schema)
3. [DDL Statements](#ddl-statements)
4. [DML Statements](#dml-statements)
5. [Transactions](#transactions)
6. [`async` Functionality](#async-functionality)

#### Specify Database Configuration

```python
# sqlite
db_config = {
'dbms': 'sqlite',
'path': '/path/to/sqlite/file.db',
}

# postgresql
db_config = {
'dbms': 'postgresql',
'database': '',
'hostname': '',
'username': '',
'password': '',
}
```

#### Specify Table Schema

```python
table = {
'name': 'weather',
'columns': [
{'name': 'year', 'type': 'Integer', 'primary': True},
{'name': 'month', 'type': 'Integer', 'primary': True},
{'name': 'rainfall', 'type': 'Float'},
{'name': 'temperature', 'type': 'Float'},
{'name': 'country', 'type': 'Float'},
],
}
```

#### DDL Statements

```python

with toolsql.connect(db_config) as conn:

# CREATE
toolsql.create_table(
table=table,
conn=conn,
confirm=True,
)

# DROP
toolsql.drop_table(
table=table,
conn=conn,
confirm=True,
)
```

#### DML Statements

```python

rows = [
(2020, 1, 8.2, 90, 'Turkey'),
(2020, 5, 1.1, 50, 'Germany'),
(2020, 9, 7.4, 60, 'UK'),
(2021, 1, 5.2, 72, 'France'),
(2021, 5, 2.1, 56, 'Argentina'),
(2021, 9, 6.4, 68, 'Sweden'),
(2022, 1, 1.2, 70, 'Indonesia'),
(2022, 5, 4.1, 56, 'Vietnam'),
(2022, 9, 9.4, 60, 'India'),
]

with toolsql.connect(db_config) as conn:

# INSERT
toolsql.insert(
rows=rows,
table=table,
conn=conn,
)

# SELECT
toolsql.select(
where_equals={'country': 'Turkey'},
table=table,
conn=conn,
)

# UPDATE
toolsql.update(
values={'country': 'Türkiye'},
where_equals={'country': 'Turkey'},
table=table,
conn=conn,
)

# DELETE
toolsql.delete(
where_equals={'country': 'Türkiye'},
table=table,
conn=conn,
)
```

#### Transactions

```python
with toolsql.connect(db_config) as conn:
with toolsql.transaction(conn)
# will commit if context exits error-free
# ...
```

#### `async` Functionality
```python
async with toolsql.async_connect(db_config) as conn:

await toolsql.async_select(
with_equals={'country': 'Turkey'},
table=table,
conn=conn,
)

async with toolsql.async_transaction():

await toolsql.async_insert(
rows=rows,
table=table,
conn=conn,
)
await toolsql.async_update(
values={'country': 'Türkiye'},
where_equals={'country': 'Turkey'},
table=table,
conn=conn,
)
await toolsql.async_delete(
where_equals={'country': 'Türkiye'},
table=table,
conn=conn,
)
```

## Reference

### Supported Executors
- `sqlite3`: sqlite sync reads
- `aiosqlite`: sqlite async reads
- `psycopg`: postgres sync / async reads
- `connectorx`: simple read queries

### `SELECT` input arguments
- `distinct`
- `where_equals`
- `where_gt`
- `where_gte`
- `where_lt`
- `where_lte`
- `where_like`
- `where_ilike`
- `where_in`
- `where_or`
- `order_by`
- `limit`
- `offset`

### `SELECT` output formats
- `'tuple'`: each row is a tuple
- `'dict'`: each row is a dict
- `'cursor'`: query cursor
- `'polars'`: polars dataframe of rows
- `'pandas'`: pandas dataframe of rows
- `'single_tuple'`: single row of output as a tuple
- `'single_tuple_or_none'`: single row of output as a tuple
- `'single_dict'`: single row of output as a dict
- `'single_dict_or_none'`: single row of output as a dict
- `'cell'`: single column of single row
- `'cell_or_none'`: single column of single row
- `'single_column'`: single column