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import pyarrow as pa
with pa.memory_map(
"graphs/out/57926662-ef6c-4d33-b456-aa79b8c0fc60/whisper_text.arrow", "r"
) as source:
df_w = pa.RecordBatchStreamReader(source).read_all()
with pa.memory_map(
"graphs/out/57926662-ef6c-4d33-b456-aa79b8c0fc60/saved_file.arrow", "r"
) as source:
df_i = pa.RecordBatchStreamReader(source).read_all()
df_w = df_w.to_pandas()
df_i = df_i.to_pandas()
df_i["origin"] = df_i["saved_file"].map(lambda x: x[0]["origin"])
df_w["whisper_text"] = df_w["whisper_text"].map(lambda x: x[0])
df = df_i.merge(df_w, on="trace_id")
print(df)
print(df.columns)
print(df.groupby(by=["trace_id", "origin"]).count())
print(df.groupby(by=["whisper_text", "origin"]).count())
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