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![]() Anecdotally, using SearX over unreliable proxies, like tor, seems to be quite error prone. SearX puts quite an effort to measure the performance and reliability of engines, most likely owning to those aspects being of significant concern. The patch here proposes to mitigate related problems, by issuing concurrent redundant requests through the specified proxies at once, returning the first response that is not an error. The functionality is enabled using the: `proxy_request_redundancy` parameter within the outgoing network settings or the engine settings. Example: ```yaml outgoing: request_timeout: 8.0 proxies: "all://": - socks5h://tor:9050 - socks5h://tor1:9050 - socks5h://tor2:9050 - socks5h://tor3:9050 proxy_request_redundancy: 4 ``` In this example, each network request will be send 4 times, once through every proxy. The first (non-error) response wins. In my testing environment using several tor proxy end-points, this approach almost entirely removes engine errors related to timeouts and denied requests. The latency of the network system is also improved. The implementation, uses a `AsyncParallelTransport(httpx.AsyncBaseTransport)` wrapper to wrap multiple sub-trasports, and `asyncio.wait` to wait on the first completed request. The existing implementation of the network proxy cycling has also been moved into the `AsyncParallelTransport` class, which should improve network client memoization and performance. TESTED: - unit tests for the new functions and classes. - tested on desktop PC with 10+ upstream proxies and comparable request redundancy. |
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__init__.py | ||
traits.py |