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@ -187,30 +187,38 @@ def init_config(
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raise ValueError(Errors.E1055) from ex
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if llm_model is None:
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raise ValueError("Option `llm.model` must be set if `llm` component is in pipeline.")
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raise ValueError(
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"Option `llm.model` must be set if `llm` component is in pipeline."
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)
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if llm_task is None:
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raise ValueError("Option `llm.task` must be set if `llm` component is in pipeline.")
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raise ValueError(
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"Option `llm.task` must be set if `llm` component is in pipeline."
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)
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# Select registry handles for model(s) and task(s). Raise if no match found.
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llm_spec = {
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spec_type: {
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"arg": llm_model if spec_type == "model" else llm_task,
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"matched_reg_handle": None,
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"reg_handles": getattr(registry, f"llm_{spec_type}s").get_all()
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"reg_handles": getattr(registry, f"llm_{spec_type}s").get_all(),
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}
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for spec_type in ("model", "task")
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}
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for spec_type, spec in llm_spec.items():
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for reg_handle in spec["reg_handles"]:
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if reg_handle.split(".")[1].lower() == spec["arg"].lower().replace(".", "-"):
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if reg_handle.split(".")[1].lower() == spec["arg"].lower().replace(
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".", "-"
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):
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spec["matched_reg_handle"] = reg_handle
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break
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if not spec["matched_reg_handle"]:
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arg = spec["arg"]
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raise ValueError(f"Couldn't find a matching registration handle for {spec_type} '{spec}'. Double-check"
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f" whether '{arg}' is spelled correctly.")
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raise ValueError(
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f"Couldn't find a matching registration handle for {spec_type} '{spec}'. Double-check"
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f" whether '{arg}' is spelled correctly."
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)
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defaults = RECOMMENDATIONS["__default__"]
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reco = RecommendationSchema(**RECOMMENDATIONS.get(lang, defaults)).dict()
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@ -670,8 +670,6 @@ def test_init_config_llm(pipeline, llm_model, llm_task):
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load_model_from_config(config, auto_fill=True)
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def test_model_recommendations():
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for lang, data in RECOMMENDATIONS.items():
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assert RecommendationSchema(**data)
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