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support gpt-4o (#773)
### What problem does this PR solve? #771 ### Type of change - [x] New Feature (non-breaking change which adds functionality)
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@ -261,7 +261,7 @@ def main():
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st = timer()
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cks = build(r)
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cron_logger.info("Build chunks({}): {}".format(r["name"], timer()-st))
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cron_logger.info("Build chunks({}): {:.2f}".format(r["name"], timer()-st))
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if cks is None:
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continue
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if not cks:
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@ -279,7 +279,7 @@ def main():
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callback(-1, "Embedding error:{}".format(str(e)))
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cron_logger.error(str(e))
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tk_count = 0
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cron_logger.info("Embedding elapsed({}): {}".format(r["name"], timer()-st))
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cron_logger.info("Embedding elapsed({:.2f}): {}".format(r["name"], timer()-st))
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callback(msg="Finished embedding({:.2f})! Start to build index!".format(timer()-st))
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init_kb(r)
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@ -291,7 +291,7 @@ def main():
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if b % 128 == 0:
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callback(prog=0.8 + 0.1 * (b + 1) / len(cks), msg="")
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cron_logger.info("Indexing elapsed({}): {}".format(r["name"], timer()-st))
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cron_logger.info("Indexing elapsed({}): {:.2f}".format(r["name"], timer()-st))
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if es_r:
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callback(-1, "Index failure!")
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ELASTICSEARCH.deleteByQuery(
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@ -306,7 +306,7 @@ def main():
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DocumentService.increment_chunk_num(
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r["doc_id"], r["kb_id"], tk_count, chunk_count, 0)
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cron_logger.info(
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"Chunk doc({}), token({}), chunks({}), elapsed:{}".format(
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"Chunk doc({}), token({}), chunks({}), elapsed:{:.2f}".format(
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r["id"], tk_count, len(cks), timer()-st))
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