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Print more stats; print WS_SEARCH as ef #29

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Print more stats; print WS_SEARCH as ef #29

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10 changes: 10 additions & 0 deletions engine/base_client/client.py
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Original file line number Diff line number Diff line change
Expand Up @@ -121,6 +121,12 @@ def run_experiment(
upload_stats = self.uploader.upload(
distance=dataset.config.distance, records=reader.read_data(upload_start_idx,upload_end_idx)
)
memory_usage = upload_stats["memory_usage"]
if (used_memory := memory_usage.get("used_memory")) is not None:
print(f"{used_memory=}")
if (index_info := memory_usage.get("index_info")) is not None:
if (vector_index_sz_mb := index_info.get("vector_index_sz_mb")) is not None:
print(f"{vector_index_sz_mb=}")
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Copilot AI Aug 6, 2025

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The walrus operator assignment in the condition will fail if memory_usage is None or not a dictionary. Add a null check for memory_usage before calling .get() method.

Suggested change
print(f"{vector_index_sz_mb=}")
if isinstance(memory_usage, dict):
if (used_memory := memory_usage.get("used_memory")) is not None:
print(f"{used_memory=}")
if (index_info := memory_usage.get("index_info")) is not None:
if (vector_index_sz_mb := index_info.get("vector_index_sz_mb")) is not None:
print(f"{vector_index_sz_mb=}")

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Copilot AI Aug 6, 2025

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This code assumes memory_usage is a dictionary, but it could be None or a different type. The same null check issue applies here as with the used_memory access above.

Suggested change
print(f"{vector_index_sz_mb=}")
if isinstance(memory_usage, dict):
if (used_memory := memory_usage.get("used_memory")) is not None:
print(f"{used_memory=}")
if (index_info := memory_usage.get("index_info")) is not None:
if (vector_index_sz_mb := index_info.get("vector_index_sz_mb")) is not None:
print(f"{vector_index_sz_mb=}")

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if not DETAILED_RESULTS:
# Remove verbose stats from upload results
Expand Down Expand Up @@ -157,6 +163,8 @@ def run_experiment(
ef = "default"
if "search_params" in search_params:
ef = search_params["search_params"].get("ef", "default")
if ef == "default":
ef = search_params["search_params"].get("WS_SEARCH", "default")
client_count = search_params.get("parallel", 1)

# Filter by client count if parallels is specified
Expand Down Expand Up @@ -186,6 +194,7 @@ def run_experiment(
f"Calibrated {top=} {precision=} {calibration_value=} {calibration_precision=!s}"
)
searcher.search_params["search_params"][calibration_param] = calibration_value
ef = calibration_value
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Copilot AI Aug 6, 2025

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The ef variable is being overwritten with calibration_value but this assignment appears to serve no purpose since ef is only used for printing in the loop and this assignment happens after the print statement. This could be a logic error.

Suggested change
ef = calibration_value

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for repetition in range(1, REPETITIONS + 1):
print(
Expand All @@ -195,6 +204,7 @@ def run_experiment(
search_stats = searcher.search_all(
dataset.config.distance, reader.read_queries(), num_queries
)
print(f"{search_stats['mean_precisions']=!s}, {search_stats['rps']=}")
# ensure we specify the client count in the results
search_params["parallel"] = client_count
if not DETAILED_RESULTS:
Expand Down