cyberosa commited on
Commit
a899051
·
1 Parent(s): 217aa4f

updating DAA numbers

Browse files
latest_result_DAA_Pearl.parquet CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
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- oid sha256:bb607f370f17e4a934fde17306fafcef2271062051e079b23b7015523fe0f645
3
- size 4929
 
1
  version https://git-lfs.github.com/spec/v1
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+ oid sha256:944c4f705105e2fd1851266664960a489a6f516a92c01906482492e30408c6c8
3
+ size 5041
latest_result_DAA_QS.parquet CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
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- oid sha256:2a51ed9f9569e5df059b7decae1d2aa8ed50f110b0e355f8d955de982a9490eb
3
- size 5204
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:fc362c583e0dc2e7b53d950c9a843c68e8dde0ae28202e38c752874e088ae400
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+ size 5412
scripts/daa.py CHANGED
@@ -129,25 +129,6 @@ def prepare_predict_agents_dataset():
129
  predict_agents.to_csv(ROOT_DIR / "olas_trader_agents.csv", index=False)
130
 
131
 
132
- def prepare_olas_traders_dataset():
133
- # load the service map pickle file
134
- with open(ROOT_DIR / "service_map.pkl", "rb") as f:
135
- service_map = pickle.load(f)
136
-
137
- # get the list of unique olas traders from all trades profitability
138
- all_trades = pd.read_parquet(ROOT_DIR / "all_trades_profitability.parquet")
139
- olas_traders = all_trades[all_trades["staking"] != "non_Olas"]
140
- olas_traders = olas_traders[["trader_address", "market_creator"]].drop_duplicates()
141
- olas_traders = olas_traders.reset_index(drop=True)
142
- print(f"Number of unique traders = {len(olas_traders)}")
143
-
144
- olas_traders["service_id"] = olas_traders["trader_address"].apply(
145
- lambda x: get_service_id_from_trader_address(x, service_map)
146
- )
147
- # save the dataset as a csv file
148
- olas_traders.to_csv(ROOT_DIR / "olas_traders.csv", index=False)
149
-
150
-
151
  def setup_dune_python_client():
152
  """Function to setup the dune python client"""
153
 
@@ -196,12 +177,12 @@ def load_olas_agents_dataset_in_dune(dune_client: DuneClient):
196
 
197
  def get_latest_result_from_DAA_QS(dune_client: DuneClient):
198
  query = QueryBase(
199
- query_id=5168747,
200
  )
201
  try:
202
  # Add error handling and sanitize headers
203
  # query_result = dune_client.run_query_dataframe(query=query)
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- query_result = dune_client.get_latest_result_dataframe(5168747)
205
  print(f"DAA QS query result = {query_result.head()}")
206
  return query_result
207
  except UnicodeEncodeError:
@@ -215,10 +196,10 @@ def get_latest_result_from_DAA_QS(dune_client: DuneClient):
215
 
216
  def get_latest_result_from_DAA_Pearl(dune_client: DuneClient):
217
  query = QueryBase(
218
- query_id=5168646,
219
  )
220
  # query_result = dune_client.run_query_dataframe(query=query)
221
- query_result = dune_client.get_latest_result_dataframe(5168646)
222
  print(f"DAA Pearl query result = {query_result.head()}")
223
  return query_result
224
 
 
129
  predict_agents.to_csv(ROOT_DIR / "olas_trader_agents.csv", index=False)
130
 
131
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
132
  def setup_dune_python_client():
133
  """Function to setup the dune python client"""
134
 
 
177
 
178
  def get_latest_result_from_DAA_QS(dune_client: DuneClient):
179
  query = QueryBase(
180
+ query_id=5193717,
181
  )
182
  try:
183
  # Add error handling and sanitize headers
184
  # query_result = dune_client.run_query_dataframe(query=query)
185
+ query_result = dune_client.get_latest_result_dataframe(5193717)
186
  print(f"DAA QS query result = {query_result.head()}")
187
  return query_result
188
  except UnicodeEncodeError:
 
196
 
197
  def get_latest_result_from_DAA_Pearl(dune_client: DuneClient):
198
  query = QueryBase(
199
+ query_id=5193539,
200
  )
201
  # query_result = dune_client.run_query_dataframe(query=query)
202
+ query_result = dune_client.get_latest_result_dataframe(5193539)
203
  print(f"DAA Pearl query result = {query_result.head()}")
204
  return query_result
205