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Feature/vespa jinja (#4558)
* tool to generate vespa schema variations for our cloud * extraneous assign * use a real templating system instead of search/replace * fix float * maybe this should be double * remove redundant var * template the other files * try a spawned process * move the wrapper * fix args * increase timeout --------- Co-authored-by: Richard Kuo (Onyx) <rkuo@onyx.app> Co-authored-by: Richard Kuo <rkuo@rkuo.com>
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@ -2,43 +2,47 @@
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import argparse
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import jinja2
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from onyx.db.enums import EmbeddingPrecision
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from onyx.document_index.vespa.index import _replace_template_values_in_schema
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from onyx.document_index.vespa.index import _replace_tenant_template_value_in_schema
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from onyx.document_index.vespa_constants import TENANT_ID_REPLACEMENT
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from onyx.utils.logger import setup_logger
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from shared_configs.configs import SUPPORTED_EMBEDDING_MODELS
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logger = setup_logger()
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def write_schema(index_name: str, dim: int, template: str) -> None:
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def write_schema(index_name: str, dim: int, template: jinja2.Template) -> None:
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index_filename = index_name + ".sd"
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index_rendered_str = _replace_tenant_template_value_in_schema(
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template, TENANT_ID_REPLACEMENT
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)
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index_rendered_str = _replace_template_values_in_schema(
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index_rendered_str, index_name, dim, EmbeddingPrecision.FLOAT
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schema = template.render(
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multi_tenant=True,
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schema_name=index_name,
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dim=dim,
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embedding_precision=EmbeddingPrecision.FLOAT.value,
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)
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with open(index_filename, "w", encoding="utf-8") as f:
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f.write(index_rendered_str)
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f.write(schema)
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logger.info(f"Wrote {index_filename}")
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def main() -> None:
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parser = argparse.ArgumentParser(description="Generate multi tenant Vespa schemas")
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parser.add_argument("--template", help="The schema template to use", required=True)
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parser.add_argument("--template", help="The Jinja template to use", required=True)
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args = parser.parse_args()
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jinja_env = jinja2.Environment()
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with open(args.template, "r", encoding="utf-8") as f:
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template_str = f.read()
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template = jinja_env.from_string(template_str)
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num_indexes = 0
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for model in SUPPORTED_EMBEDDING_MODELS:
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write_schema(model.index_name, model.dim, template_str)
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write_schema(model.index_name + "__danswer_alt_index", model.dim, template_str)
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write_schema(model.index_name, model.dim, template)
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write_schema(model.index_name + "__danswer_alt_index", model.dim, template)
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num_indexes += 2
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logger.info(f"Wrote {num_indexes} indexes.")
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