trustgraph/trustgraph-flow/trustgraph/external/wikipedia/service.py
cybermaggedon dd70aade11
Implement logging strategy (#444)
* Logging strategy and convert all prints() to logging invocations
2025-07-30 23:18:38 +01:00

105 lines
2.6 KiB
Python

"""
Wikipedia lookup service. Fetchs an extract from the Wikipedia page
using the API.
"""
from trustgraph.schema import LookupRequest, LookupResponse, Error
from trustgraph.schema import encyclopedia_lookup_request_queue
from trustgraph.schema import encyclopedia_lookup_response_queue
from trustgraph.log_level import LogLevel
from trustgraph.base import ConsumerProducer
import requests
import logging
logger = logging.getLogger(__name__)
module = "wikipedia"
default_input_queue = encyclopedia_lookup_request_queue
default_output_queue = encyclopedia_lookup_response_queue
default_subscriber = module
default_url="https://en.wikipedia.org/"
class Processor(ConsumerProducer):
def __init__(self, **params):
input_queue = params.get("input_queue", default_input_queue)
output_queue = params.get("output_queue", default_output_queue)
subscriber = params.get("subscriber", default_subscriber)
url = params.get("url", default_url)
super(Processor, self).__init__(
**params | {
"input_queue": input_queue,
"output_queue": output_queue,
"subscriber": subscriber,
"input_schema": LookupRequest,
"output_schema": LookupResponse,
}
)
self.url = url
async def handle(self, msg):
v = msg.value()
# Sender-produced ID
id = msg.properties()["id"]
logger.info(f"Handling {v.kind} / {v.term}...")
try:
url = f"{self.url}/api/rest_v1/page/summary/{v.term}"
resp = Result = requests.get(url).json()
resp = resp["extract"]
r = LookupResponse(
error=None,
text=resp
)
await self.send(r, properties={"id": id})
self.consumer.acknowledge(msg)
return
except Exception as e:
r = LookupResponse(
error=Error(
type = "lookup-error",
message = str(e),
),
text=None,
)
await self.send(r, properties={"id": id})
self.consumer.acknowledge(msg)
return
@staticmethod
def add_args(parser):
ConsumerProducer.add_args(
parser, default_input_queue, default_subscriber,
default_output_queue,
)
parser.add_argument(
'-u', '--url',
default=default_url,
help=f'LLM model (default: {default_url})'
)
def run():
Processor.launch(module, __doc__)