kiarina-lib-cloudflare-d1 1.29.0

Cloudflare D1 client library for kiarina namespace

kiarina-lib-cloudflare-d1

A Python client library for Cloudflare D1 with configuration management using pydantic-settings-manager.

Purpose

This library separates infrastructure configuration (database IDs, credentials) from application code, enabling:

• Environment-agnostic code: Same code works in dev, staging, and production
• External configuration: Manage settings via YAML files or environment variables
• Multi-tenancy support: Handle multiple D1 databases with different configurations
• Easy testing: Inject test configurations without modifying code

Installation

pip install kiarina-lib-cloudflare-d1

Quick Start

Basic Usage (Sync)

from kiarina.lib.cloudflare.d1 import create_d1_client

# Create client (configuration loaded from environment or settings)
client = create_d1_client()

# Execute query
result = client.query("SELECT * FROM users WHERE id = ?", [1])

# Access results
if result.success:
    for row in result.first.rows:
        print(row)

Async Usage

from kiarina.lib.cloudflare.d1.asyncio import create_d1_client

async def main():
    client = create_d1_client()
    result = await client.query("SELECT * FROM users WHERE id = ?", [1])

    if result.success:
        for row in result.first.rows:
            print(row)

CRUD Operations

from kiarina.lib.cloudflare.d1 import create_d1_client

client = create_d1_client()

# Create
result = client.query(
    "INSERT INTO users (name, email) VALUES (?, ?)",
    ["Alice", "[e-mail]"]
)

# Read
result = client.query("SELECT * FROM users WHERE name = ?", ["Alice"])
users = result.first.rows

# Update
result = client.query(
    "UPDATE users SET email = ? WHERE name = ?",
    ["[e-mail]", "Alice"]
)

# Delete
result = client.query("DELETE FROM users WHERE name = ?", ["Alice"])

Error Handling

result = client.query("SELECT * FROM users")

if not result.success:
    # Check errors
    for error in result.errors:
        print(f"Error: {error}")

    # Or raise exception
    result.raise_for_status()
else:
    # Access results safely
    if result.result:
        for row in result.first.rows:
            print(row)

API Reference

Functions

create_d1_client()

Create a D1 client with configuration.

def create_d1_client(
    settings_key: str | None = None,
    *,
    auth_settings_key: str | None = None,
) -> D1Client

Parameters:

• settings_key: Configuration key for D1 settings (default: uses active key)
• auth_settings_key: Configuration key for authentication (default: uses active key)

Returns: Configured D1Client instance

Example:

# Use default configuration
client = create_d1_client()

# Use specific configuration
client = create_d1_client(
    settings_key="production",
    auth_settings_key="production"
)

Classes

D1Client

Main client for interacting with Cloudflare D1.

Methods:

query(sql: str, params: list[Any] | None = None) -> Result

Execute a SQL query with optional parameters.

Parameters:

• sql: SQL query string
• params: Query parameters for parameterized statements (default: None)

Returns: Result object containing query results

Example:

# Simple query
result = client.query("SELECT * FROM users")

# Parameterized query
result = client.query("SELECT * FROM users WHERE age > ?", [18])

Result

Query result container.

Properties:

• success (bool): Whether the query was successful
• result (list[QueryResult]): List of query results
• errors (list[ResponseInfo]): List of errors if query failed
• messages (list[ResponseInfo]): List of informational messages
• first (QueryResult): First query result (raises ValueError if empty)

Methods:

• raise_for_status(): Raise RuntimeError if query failed

Example:

result = client.query("SELECT * FROM users")

# Check success
if result.success:
    # Access first result
    query_result = result.first

    # Access all results
    for qr in result.result:
        print(qr.rows)

QueryResult

Individual query result with metadata and rows.

Properties:

• success (bool): Whether this query was successful
• meta (dict[str, Any]): Query metadata (duration, rows read/written, etc.)
• results (list[dict[str, Any]]): Query result rows
• rows (list[dict[str, Any]]): Alias for results

Example:

query_result = result.first

# Access metadata
print(f"Duration: {query_result.meta.get('duration')}ms")
print(f"Rows read: {query_result.meta.get('rows_read')}")

# Access rows
for row in query_result.rows:
    print(f"User: {row['name']}")

ResponseInfo

Error or message information.

Properties:

• code (int): Response code
• message (str): Response message

Configuration

This library uses pydantic-settings-manager for configuration management and requires kiarina-lib-cloudflare-auth for authentication.

YAML Configuration

# config/production.yaml
kiarina.lib.cloudflare.d1:
  default:
    database_id: "prod-database-id"

kiarina.lib.cloudflare.auth:
  default:
    account_id: "prod-account-id"
    api_token: "${CLOUDFLARE_API_TOKEN}"  # From environment

# Load configuration using pydantic-settings-manager
import yaml
from pydantic_settings_manager import load_user_configs

with open("config/production.yaml") as f:
    config = yaml.safe_load(f)

load_user_configs(config)

# Now create client with loaded configuration
client = create_d1_client()

Settings Reference

D1Settings

Field	Type	Required	Description
database_id	str	Yes	Cloudflare D1 database ID

Environment variable prefix: KIARINA_LIB_CLOUDFLARE_D1_

Authentication Settings

See kiarina-lib-cloudflare-auth for authentication configuration details.

Required fields:

• account_id: Cloudflare account ID
• api_token: Cloudflare API token

Environment variable prefix: KIARINA_LIB_CLOUDFLARE_AUTH_

Testing

Tests require actual Cloudflare D1 credentials. Create a .env file:

# .env
KIARINA_LIB_CLOUDFLARE_D1_TEST_SETTINGS_FILE=/path/to/test_settings.yaml

Create test_settings.yaml:

kiarina.lib.cloudflare.auth:
  default:
    account_id: "your-test-account-id"
    api_token: "your-test-api-token"

kiarina.lib.cloudflare.d1:
  default:
    database_id: "your-test-database-id"

Run tests:

# Run all checks
mise run package kiarina-lib-cloudflare-d1

# Run tests with coverage
mise run package:test kiarina-lib-cloudflare-d1 --coverage

Tests will be skipped if credentials are not configured.

Dependencies

• httpx - HTTP client
• kiarina-lib-cloudflare-auth - Cloudflare authentication
• pydantic-settings - Settings management
• pydantic-settings-manager - Advanced settings management

License

MIT License - see the LICENSE file for details.

Related Projects

• kiarina-python - Main monorepo
• kiarina-lib-cloudflare-auth - Cloudflare authentication library
• Cloudflare D1 - Cloudflare's serverless SQL database