jsonPagination 0.3.3

A versatile JSON data downloader with pagination and multithreading support.

jsonPagination

jsonPagination is a Python library designed to simplify the process of fetching and paginating JSON data from APIs. It supports authentication, multithreading for efficient data retrieval, and handling of pagination logic, making it ideal for working with large datasets or APIs with rate limits.

Features

• Easy Pagination: Simplifies the process of fetching large datasets by automatically handling the pagination logic. It can manage both page-number-based and index-offset-based pagination methods, seamlessly iterating through pages or data chunks.

• Authentication Support: Facilitates secure access to protected APIs with built-in support for various authentication mechanisms, including basic auth, bearer tokens, and custom header-based authentication. This feature abstracts away the complexity of managing authentication tokens, automatically obtaining and renewing them as needed.

• Multithreading: Utilizes concurrent threads to fetch data in parallel, significantly reducing the overall time required to retrieve large datasets. The number of threads can be adjusted to optimize the balance between speed and system resource utilization.

• Flexible Configuration: Offers customizable settings for pagination parameters, such as the field names for page numbers, item counts, and total records. This flexibility ensures compatibility with a wide range of APIs, accommodating different pagination schemes.

• Automatic Rate Limit Handling: Intelligent rate limit management prevents overloading the API server by automatically throttling request rates based on the API's specified limits. This feature helps to maintain compliance with API usage policies and avoids unintentional denial of service.

• Custom Headers Support: Enables the injection of custom HTTP headers into each request, providing a way to include additional metadata like API keys, session tokens, or other authentication information required by the API.

• Error Handling and Retry Logic: Implements robust error detection and retry mechanisms to handle transient network issues or API errors. This ensures that temporary setbacks do not interrupt the data retrieval process, improving the reliability of data fetching operations.

Installation

To install jsonPagination, you have two options:

1. Install directly using pip:

   pip install jsonPagination
   

2. If you have a requirements.txt file that includes jsonPagination, install all the required packages using:

   pip install -r requirements.txt
   

Make sure jsonPagination is listed in your requirements.txt file with the desired version, like so:

jsonPagination==x.y.z

Replace x.y.z with the specific version number you want to install.

Usage

Basic Pagination

Here's how to use jsonPagination for basic pagination, demonstrating both page-based and index-based pagination:

from jsonPagination.paginator import Paginator

# Instantiate the Paginator with a base URL
paginator = Paginator(
    base_url='https://api.example.com',
    current_page_field='page',  # Field name used by the API for page number
    items_field='items_per_page',  # Field name used by the API for the number of items per page
    max_threads=2
)

# Fetch data using a relative path
results = paginator.fetch_all_pages('/data')

print("Downloaded data:")
print(results)

Note: If your API request needs to specify a different number of items per page (items_per_page) than what is expected in the API response (response_items_field), you can configure these separately in the Paginator constructor. For example, if the API uses 'items_per_page' in the request but returns 'count' in the response to specify how many items are in each page, configure your Paginator like this:

paginator = Paginator(
    base_url='https://api.example.com',
    current_page_field='page',
    items_field='items_per_page',  # Field name for request pagination
    response_items_field='count',  # Field name in the response for the number of items
    max_threads=2
)

Pagination with Authentication

Basic Authentication

For APIs that use basic authentication, you can directly include credentials in the header:

from jsonPagination.paginator import Paginator

headers = {
    'Authorization': 'Basic <base64_encoded_credentials>'
}

paginator = Paginator(
    base_url='https://api.example.com',
    headers=headers,
    max_threads=2
)

results = paginator.fetch_all_pages('/api/data')

print("Downloaded data with basic authentication:")
print(results)

Token-based Authentication

For APIs requiring a token, configure the login_url with the base URL during instantiation:

from jsonPagination.paginator import Paginator

paginator = Paginator(
    base_url='https://api.example.com',
    login_url='/api/login',  # Relative path for login
    auth_data={'username': 'your_username', 'password': 'your_password'},
    max_threads=2
)

results = paginator.fetch_all_pages('/api/data')

print("Downloaded data with token-based authentication:")
print(results)

Note: Ensure that the login_url is a relative path if it should be joined with the base_url. The Paginator will handle the full URL construction internally.

Rate Limit Example

Demonstrating how to handle rate limits:

from jsonPagination.paginator import Paginator

paginator = Paginator(
    base_url='https://api.example.com',
    max_threads=2,
    ratelimit=(5, 60)  # 5 requests per 60 seconds
)

results = paginator.fetch_all_pages('/api/data')

print("Downloaded data with rate limiting:")
print(results)

Advanced Configuration

You can further customize the paginator by adjusting additional parameters such as verify_ssl, retry_delay, download_one_page_only, and more. Here's an example with additional configurations:

from jsonPagination.paginator import Paginator

paginator = Paginator(
    base_url='https://api.example.com',
    login_url='/api/login',
    auth_data={'username': 'your_username', 'password': 'your_password'},
    current_page_field='page',
    items_field='per_page',
    response_items_field='count',
    max_threads=4,
    verify_ssl=False,  # Disable SSL verification if needed
    retry_delay=10,    # Retry delay in seconds
    ratelimit=(10, 60), # 10 requests per 60 seconds
    log_level='DEBUG'  # Set log level to DEBUG for more verbose output
)

results = paginator.fetch_all_pages('/api/data', flatten_json=True)

print("Downloaded and flattened data:")
print(results)

Paginator Parameters

Below is a comprehensive list of all available parameters for the Paginator class, along with their explanations:

Parameter	Type	Default	Description
base_url	str	Required	The base URL for the API.
login_url	str, optional	None	URL for authentication to retrieve a token. Must be a relative path if base_url is provided.
auth_data	dict, optional	None	Credentials required for the login endpoint. Typically includes fields like username and password.
current_page_field	str, optional	None	Field name for the current page number in the API request. Use either current_page_field or current_index_field, not both.
current_index_field	str, optional	None	Field name for the starting index in the API request. Use either current_page_field or current_index_field, not both.
items_field	str	'per_page'	Field name for the number of items per page in the API request.
total_count_field	str	'total'	Field name in the API response that holds the total number of items.
items_per_page	int, optional	None	The number of items to request per page. If not set, it will be determined dynamically based on the API response or default to 50.
response_items_field	str, optional	None	Field name in the response for the number of items returned per page. Useful if the API uses a different field name for item count in responses.
max_threads	int	5	Maximum number of threads to use for parallel requests. Adjust based on system resources and API rate limits.
download_one_page_only	bool	False	Whether to fetch only the first page of data. Useful for scenarios where only a subset of data is needed.
verify_ssl	bool	True	Whether to verify SSL certificates for HTTP requests. Set to False to disable SSL verification (not recommended for production environments).
data_field	str	'data'	Field name from which to extract the data in the API response. If the API nests data within a specific field, specify it here.
log_level	str	'INFO'	Logging level for the paginator. Valid options include 'DEBUG', 'INFO', 'WARNING', 'ERROR', and 'CRITICAL'.
retry_delay	int	30	Time in seconds to wait before retrying a failed request. Implements exponential backoff for subsequent retries.
ratelimit	tuple, optional	None	Rate limit settings as a tuple (calls, period) where calls is the number of allowed calls in period seconds. For example, (5, 60) allows 5 calls per minute.
headers	dict, optional	None	Additional headers to include in the requests. Useful for including API keys, session tokens, or other custom headers required by the API.
logger	logging.Logger, optional	None	Custom logger instance. If not provided, the default logger is used. Allows integration with existing logging configurations in your application.

Contributing

We welcome contributions to jsonPagination! Please open an issue or submit a pull request for any features, bug fixes, or documentation improvements.

License

jsonPagination is released under the MIT License. See the LICENSE file for more details.