solver: add a timeout handle for users (#47661)
This PR adds a configuration setting to allow setting time limits for concretization. For backward compatibility, the default is to set no time limit.
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@ -55,3 +55,11 @@ concretizer:
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splice:
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explicit: []
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automatic: false
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# Maximum time, in seconds, allowed for the 'solve' phase. If set to 0, there is no time limit.
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timeout: 0
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# If set to true, exceeding the timeout will always result in a concretization error. If false,
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# the best (suboptimal) model computed before the timeout is used.
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#
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# Setting this to false yields unreproducible results, so we advise to use that value only
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# for debugging purposes (e.g. check which constraints can help Spack concretize faster).
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error_on_timeout: true
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@ -88,6 +88,8 @@
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"strategy": {"type": "string", "enum": ["none", "minimal", "full"]}
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},
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},
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"timeout": {"type": "integer", "minimum": 0},
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"error_on_timeout": {"type": "boolean"},
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"os_compatible": {"type": "object", "additionalProperties": {"type": "array"}},
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},
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}
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@ -885,7 +885,22 @@ def on_model(model):
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solve_kwargs["on_unsat"] = cores.append
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timer.start("solve")
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solve_result = self.control.solve(**solve_kwargs)
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time_limit = spack.config.CONFIG.get("concretizer:timeout", -1)
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error_on_timeout = spack.config.CONFIG.get("concretizer:error_on_timeout", True)
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# Spack uses 0 to set no time limit, clingo API uses -1
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if time_limit == 0:
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time_limit = -1
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with self.control.solve(**solve_kwargs, async_=True) as handle:
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finished = handle.wait(time_limit)
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if not finished:
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specs_str = ", ".join(llnl.util.lang.elide_list([str(s) for s in specs], 4))
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header = f"Spack is taking more than {time_limit} seconds to solve for {specs_str}"
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if error_on_timeout:
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raise UnsatisfiableSpecError(f"{header}, stopping concretization")
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warnings.warn(f"{header}, using the best configuration found so far")
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handle.cancel()
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solve_result = handle.get()
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timer.stop("solve")
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# once done, construct the solve result
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