updating daa computation based on Dune data

gnosis_txs_dataset.parquet → latest_result_DAA_Pearl.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fbdbc142ac5e27676a70fa478f0e38f10de107cc4d919826f420f3e83ba546e9
-size 31531602
+oid sha256:fc274952b57eef55e833e2ffa6685f19b34f51444e8c34d565991aac55114194
+size 5091

latest_result_DAA_QS.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f835ce8744b5231e572241d8183777ce5e71aac5ed9bc76e40f035fb56b1cb09
+size 5472

scripts/daa.py

@@ -5,8 +5,12 @@ from utils import measure_execution_time
 from get_mech_info import fetch_block_number, get_last_block_number
 from tqdm import tqdm
 import requests
+import os
 from concurrent.futures import ThreadPoolExecutor
 from gnosis_timestamps import get_all_txs_between_blocks_from_trader_address
+from dune_client.types import QueryParameter
+from dune_client.client import DuneClient
+from dune_client.query import QueryBase
 
 DATETIME_60_DAYS_AGO = datetime.now(UTC) - timedelta(days=60)
 
@@ -84,11 +88,58 @@ def prepare_gnosis_txs_dataset():
     return pd.concat(results, ignore_index=True)
 
 
+def setup_dune_python_client():
+    """Function to setup the dune python client"""
+
+    # Read api key from the environment variable
+    dune_api_key = os.getenv("DUNE_API_KEY")
+    # If the api key is not set, raise an error
+    if dune_api_key is None:
+        raise ValueError("Dune API key is not set in the environment variable")
+
+    # Initialize the DuneClient
+    dune_client = DuneClient(
+        api_key=dune_api_key,
+    )
+    return dune_client
+
+
+def get_latest_result_from_DAA_QS(dune_client: DuneClient):
+    query = QueryBase(
+        query_id=4915491,
+    )
+    query_result = dune_client.run_query_dataframe(query=query)
+    print(f"DAA QS query result = {query_result.head()}")
+    return query_result
+
+
+def get_latest_result_from_DAA_Pearl(dune_client: DuneClient):
+    query = QueryBase(
+        query_id=4915479,
+    )
+    query_result = dune_client.run_query_dataframe(query=query)
+    print(f"DAA Pearl query result = {query_result.head()}")
+    return query_result
+
+
 if __name__ == "__main__":
     # Measure the execution time of the function
-    txs_dataset = prepare_gnosis_txs_dataset()
-    # Save the dataset to a parquet file
-    txs_dataset.to_parquet(
-        ROOT_DIR / "gnosis_txs_dataset.parquet", index=False, compression="gzip"
+    # txs_dataset = prepare_gnosis_txs_dataset()
+    # # Save the dataset to a parquet file
+    # txs_dataset.to_parquet(
+    #     ROOT_DIR / "gnosis_txs_dataset.parquet", index=False, compression="gzip"
+    # )
+    # print(f"Number of transactions = {len(txs_dataset)}")
+    dune = setup_dune_python_client()
+    # Get the latest result from the DAA QS query
+    df = get_latest_result_from_DAA_QS(dune)
+    # Save the result to a parquet file
+    df.to_parquet(
+        ROOT_DIR / "latest_result_DAA_QS.parquet", index=False, compression="gzip"
+    )
+    # Get the latest result from the DAA Pearl query
+    df = get_latest_result_from_DAA_Pearl(dune)
+    # Save the result to a parquet file
+    df.to_parquet(
+        ROOT_DIR / "latest_result_DAA_Pearl.parquet", index=False, compression="gzip"
     )
-    print(f"Number of transactions = {len(txs_dataset)}")