issue_comments: 558461851
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| https://github.com/simonw/datasette/issues/357#issuecomment-558461851 | https://api.github.com/repos/simonw/datasette/issues/357 | 558461851 | MDEyOklzc3VlQ29tbWVudDU1ODQ2MTg1MQ== | 9599 | 2019-11-26T05:05:21Z | 2019-11-26T05:05:21Z | OWNER | Here's an example plugin I set up using the experimental hook in d11fd2cbaa6b31933b1319f81b5d1520726cb0b6 ```python import json from datasette import hookimpl import threading import requests import time def change_over_time(m, metadata_value): while True: print(metadata_value) fetched = requests.get(metadata_value).json() counter = m["counter"] m.clear() m["counter"] = counter + 1 m.update(fetched) m["counter"] += 1 m["title"] = "{} {}".format(m.get("title", ""), m["counter"]) time.sleep(10) @hookimpl(trylast=True) def load_metadata(metadata_value): m = { "counter": 0, } x = threading.Thread(target=change_over_time, args=(m, metadata_value), daemon=True) x.start() x.setName("datasette-metadata-counter") return m ``` It runs a separate thread that fetches the provided URL every 10 seconds:
First, this is the wrong place to run the code: I wanted the plugin hook to be able to receive a I wanted to build a demo of a plugin that would load metadata periodically from an external URL (see #238) - but this threaded implementation is pretty naive. It results in a hit every 10 seconds even if no-one is using Datasette! A smarter implementation would be to fetch and cache the results - then only re-fetch them if more than 10 seconds have passed since the last time the metadata was accessed. But... doing this neatly requires asyncio - and the plugin isn't running inside an event loop (since I could try and refactor everything so that all calls to read from Or maybe I could set it up so the plugin can start itself running in the event loop and call back to the |
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