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Fix qualified txs #1623

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Fix qualified txs #1623

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14 changes: 13 additions & 1 deletion other_chains_tracking/get_qualified_txs.py
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Original file line number Diff line number Diff line change
Expand Up @@ -207,12 +207,24 @@
# Convert chain_id and source to strings in both DataFrames
ch['chain_id'] = ch['chain_id'].astype(str).fillna('na')
ch['source'] = ch['source'].astype(str).fillna('na')

# Handle numeric columns NaN values
numeric_columns = ['num_raw_txs', 'num_success_txs', 'num_qualified_txs',
'sum_raw_gas_used', 'sum_success_gas_used', 'sum_qualified_gas_used']

for col in numeric_columns:
if col in ch.columns:
ch[col] = ch[col].fillna(0).astype(int)
if col in dune_df.columns:
dune_df[col] = dune_df[col].fillna(0).astype(int)

# Apply ch datatypes to dunedf
ch_dtypes = ch.dtypes.to_dict()

# Now, apply these dtypes to dune_df
for col, dtype in ch_dtypes.items():
dune_df[col] = dune_df[col].astype(dtype)
if col in dune_df.columns:
dune_df[col] = dune_df[col].astype(dtype)

print("ch columns:", ch.columns)
print("dune_df columns:", dune_df.columns)
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