DynaFetch

A robust Python client for fetching paginated data from OData/REST APIs, with a focus on Dynamics Business Central integration. DynaFetch provides automatic pagination handling, retry logic, and comprehensive error handling.

Features

• 🔄 Automatic pagination handling
• 🔁 Built-in retry logic with exponential backoff
• 🛡️ Comprehensive error handling
• ⏱️ Configurable timeouts and retry settings
• 🔑 Support for basic authentication
• 📊 Flexible response data extraction
• 🚀 Session management for efficient connections

Installation

pip install dynafetch

Quick Start

from dynafetch import DynaFetchClient

# Initialize the client with your API credentials
client = DynaFetchClient(
    base_url="https://api.example.com",
    credentials=("username", "password")
)

# Fetch all data from an endpoint
data = client.get_data("customers")

Detailed Usage

Basic Authentication

from dynafetch import DynaFetchClient

# Initialize with basic authentication
client = DynaFetchClient(
    base_url="https://api.example.com",
    credentials=("username", "password")
)

Using a Custom Session

import requests
from dynafetch import DynaFetchClient

# Create a custom session with specific configurations
session = requests.Session()
session.headers.update({"Custom-Header": "value"})

# Initialize with custom session
client = DynaFetchClient(
    base_url="https://api.example.com",
    session=session
)

Fetching Data with Parameters

# Fetch data with query parameters
data = client.get_data(
    endpoint="customers",
    params={
        "$filter": "status eq 'active'",
        "$select": "id,name,email",
        "$top": 100
    }
)

Handling Single Pages

# Fetch a single page of data
page = client.get_single_page(
    endpoint="customers",
    params={"$top": 50}
)

Custom Headers

# Set default headers for all requests
client.set_default_headers({
    "Accept": "application/json",
    "Custom-Header": "value"
})

# Or provide headers for specific requests
data = client.get_data(
    endpoint="customers",
    headers={"Custom-Header": "specific-value"}
)

Configuration Options

The DynaFetchClient accepts the following configuration options:

Error Handling

DynaFetch provides comprehensive error handling through the DynaFetchError exception:

from dynafetch import DynaFetchClient, DynaFetchError

try:
    client = DynaFetchClient(
        base_url="https://api.example.com",
        credentials=("username", "password")
    )
    data = client.get_data("customers")
except DynaFetchError as e:
    print(f"Error fetching data: {e}")

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.