Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Patchwork PR: GenerateReadme #7

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
68 changes: 60 additions & 8 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,26 +1,78 @@
# `get_data_by_config_value` Function Documentation

This function retrieves data from a SQLite database based on a provided value and pre-configured table and column settings.
This function is designed to extract data from a SQLite database using a specified value. The configuration, which dictates the table and column to be searched, is pre-set within the script.

## Table of Contents

- [Inputs](#inputs)
- [Outputs](#outputs)
- [Behavior](#behavior)
- [Potential Use Cases](#potential-use-cases)
- [Security Considerations](#security-considerations)

## Inputs

- `value` (string): The value to search for in the specified database column.
- **`value`** *(string)*: The target value you wish to find within the pre-configured database column.

## Outputs

- A list of tuples. Each tuple represents a row from the database where the specified column matches the provided `value`. Returns an empty list if no matches are found.
- **List of tuples**: Each tuple represents an entire row from the database where the specified column matches the input `value`. If no matches are found, the function returns an empty list.

## Behavior

The function uses a hardcoded configuration (`CONFIG`) to determine the table and column to query. It constructs a SQL query using string concatenation, which can be a security risk (SQL injection vulnerability). The function connects to a SQLite database file named `database.db`, executes the query, fetches all matching rows, and then closes the connection. The fetched data is then returned.
- The function relies on a hardcoded configuration dictionary, `CONFIG`, to identify which database table and column to query. The query is constructed using basic string concatenation.
- Establishes a connection to a database file named `database.db` using SQLite's Python interface.
- Executes the query and retrieves all matching rows.
- Closes the database connection and returns the fetched results.

### Code Snippet
```python
import sqlite3

# Simulated config file or a settings module
CONFIG = {
"default_table": "users",
"default_column": "username"
}

def get_data_by_config_value(value):
query = "SELECT * FROM " + CONFIG["default_table"] + " WHERE " + CONFIG["default_column"] + " = '" + value + "'"

connection = sqlite3.connect("database.db")
cursor = connection.cursor()
cursor.execute(query)
result = cursor.fetchall()
connection.close()

return result

# Test
print(get_data_by_config_value("admin"))
```

## Potential Use Cases

This function is likely used for retrieving specific data based on simple lookups configured in the `CONFIG` dictionary. For instance, it could be used:
This function serves several potential applications where simple database lookups are necessary:

* To fetch user details by username.
* To retrieve product information by product ID.
- Retrieving user details by a known username.
- Fetching product information using a unique product ID.
- Implementing quick data checks or data validation operations.

## Security Considerations

The use of string concatenation in the query construction makes this function vulnerable to SQL injection attacks. Consider using parameterized queries or prepared statements to mitigate this risk.
Due to the nature of string concatenation in query construction, **the code is susceptible to SQL injection attacks**. To mitigate this risk, it is advised to:

- Employ parameterized queries or prepared statement features provided by the `sqlite3` library.
- Validate and sanitize input data rigorously prior to using it in SQL queries.

**Example of a safer approach:**
```python
def get_safe_data_by_config_value(value):
connection = sqlite3.connect("database.db")
cursor = connection.cursor()
query = f"SELECT * FROM {CONFIG['default_table']} WHERE {CONFIG['default_column']} = ?"
cursor.execute(query, (value,))
result = cursor.fetchall()
connection.close()
return result
```