nlb-catalogue-client 0.1.3

A client library for accessing NLB's Catalogue Search API

nlb-api-client

Python SDK for accessing NLB's Catalogue Search API, generated dynamically from NLB's Openapi.json using openapi-python-client.

Tenacity with wait_exponential is used for retry behavior on NLP API if 429 Too Many Request is received.

Prerequisite

The package can be installed with the following command:

pip install nlb-catalogue-client

As API key is required for access of NLB's API, please request one using Open Web Service Application Form.

Usage

First, create a client using AuthenticatedClient. Do note that to access NLB public APIs, ensure that NLB_API_ID and NLB_API_KEY are available and exposed as environment variable.

import os
from nlb_catalogue_client import AuthenticatedClient

NLB_APP_ID = os.environ["NLB_APP_ID"]
NLB_API_KEY = os.environ["NLB_API_KEY"]

client = AuthenticatedClient(
    base_url="https://openweb.nlb.gov.sg/api/v2/Catalogue/",
    auth_header_name="X-API-KEY",
    token=NLB_API_KEY,
    prefix="",
    headers={"X-APP-Code": NLB_APP_ID},
)

Now call your endpoint and use your models:

from nlb_catalogue_client.models import SearchTitlesResponseV2
from nlb_catalogue_client.api.catalogue import get_search_titles

with client as client:
    response = get_search_titles.sync_detailed(client=client, keywords="Snow White")
    if isinstance(response.parsed, SearchTitlesResponseV2):
        search_result: SearchTitlesResponseV2 = response.parsed
        if search_result.titles:
            print([bk.title for bk in search_result.titles])
    else:
        print("Error in API Response", response.status_code)

Or do the same thing with an async version:

from nlb_catalogue_client.models import SearchTitlesResponseV2
from nlb_catalogue_client.api.catalogue import get_search_titles

async with client as client:
    response = await get_search_titles.asyncio_detailed(client=client, keywords="Snow White")
    if isinstance(response.parsed, SearchTitlesResponseV2):
        search_result: SearchTitlesResponseV2 = response.parsed
        if search_result.titles:
            print([bk.title for bk in search_result.titles])
    else:
        print("Error in API Response", response.status_code)

Things to know:

1. Every path/method combo becomes a Python module with four functions:

   1. sync: Blocking request that returns parsed data (if successful) or None
   2. sync_detailed: Blocking request that always returns a Request, optionally with parsed set if the request was successful.
   3. asyncio: Like sync but async instead of blocking
   4. asyncio_detailed: Like sync_detailed but async instead of blocking

2. All path/query params, and bodies become method arguments.

Advanced customizations

There are more settings on the generated Client class which let you control more runtime behavior, check out the docstring on that class for more info. You can also customize the underlying httpx.Client or httpx.AsyncClient (depending on your use-case):

from nlb_catalogue_client import Client

def log_request(request):
    print(f"Request event hook: {request.method} {request.url} - Waiting for response")

def log_response(response):
    request = response.request
    print(f"Response event hook: {request.method} {request.url} - Status {response.status_code}")

client = Client(
    base_url="https://openweb.nlb.gov.sg/api/v2/Catalogue/",
    httpx_args={"event_hooks": {"request": [log_request], "response": [log_response]}},
)

# Or get the underlying httpx client to modify directly with client.get_httpx_client() or client.get_async_httpx_client()

You can even set the httpx client directly, but beware that this will override any existing settings (e.g., base_url):

import httpx
from nlb_catalogue_client import Client

client = Client(
    base_url="https://openweb.nlb.gov.sg/api/v2/Catalogue/",
)
# Note that base_url needs to be re-set, as would any shared cookies, headers, etc.
client.set_httpx_client(httpx.Client(base_url="https://openweb.nlb.gov.sg/api/v2/Catalogue/", proxies="http://localhost:8030"))

Running Tests

To run the test suite, ensure you have the package installed locally and execute:

pytest .

License

Distributed under the MIT License. See LICENSE for more information.