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Runtime error
Runtime error
cyberosa
commited on
Commit
Β·
0b5bfca
1
Parent(s):
5616c86
trying to fix issue with the dashboard
Browse files
app.py
CHANGED
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@@ -106,18 +106,18 @@ def load_all_data():
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df4 = pd.read_parquet(unknown_df)
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# retention activity
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-
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repo_id="valory/Olas-predict-dataset",
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filename="retention_activity.parquet.gz",
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repo_type="dataset",
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)
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-
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with gzip.open(
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with open(
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shutil.copyfileobj(f_in, f_out)
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df5 = pd.read_parquet(
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os.remove(
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# active_traders.parquet
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active_traders_df = hf_hub_download(
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@@ -217,10 +217,10 @@ print(max(retention_df.creation_timestamp))
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demo = gr.Blocks()
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# get weekly metrics by market creator: qs, pearl or all.
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weekly_metrics_by_market_creator = compute_weekly_metrics_by_market_creator(
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traders_data, all_mech_calls
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)
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weekly_o_metrics_by_market_creator = compute_weekly_metrics_by_market_creator(
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traders_data, all_mech_calls, trader_filter="Olas"
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)
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weekly_non_olas_metrics_by_market_creator = pd.DataFrame()
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if len(traders_data.loc[traders_data["staking"] == "non_Olas"]) > 0:
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@@ -233,7 +233,10 @@ weekly_unknown_trader_metrics_by_market_creator = None
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if len(unknown_traders) > 0:
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weekly_unknown_trader_metrics_by_market_creator = (
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compute_weekly_metrics_by_market_creator(
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unknown_traders,
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)
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)
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df4 = pd.read_parquet(unknown_df)
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# retention activity
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gz_file_path2 = hf_hub_download(
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repo_id="valory/Olas-predict-dataset",
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filename="retention_activity.parquet.gz",
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repo_type="dataset",
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)
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parquet_file_path2 = gz_file_path2.replace(".gz", "")
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with gzip.open(gz_file_path2, "rb") as f_in:
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with open(parquet_file_path2, "wb") as f_out:
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shutil.copyfileobj(f_in, f_out)
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df5 = pd.read_parquet(parquet_file_path2)
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os.remove(parquet_file_path2)
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# active_traders.parquet
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active_traders_df = hf_hub_download(
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demo = gr.Blocks()
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# get weekly metrics by market creator: qs, pearl or all.
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weekly_metrics_by_market_creator = compute_weekly_metrics_by_market_creator(
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traders_data=traders_data, all_mech_calls=all_mech_calls
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)
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weekly_o_metrics_by_market_creator = compute_weekly_metrics_by_market_creator(
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traders_data=traders_data, all_mech_calls=all_mech_calls, trader_filter="Olas"
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)
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weekly_non_olas_metrics_by_market_creator = pd.DataFrame()
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if len(traders_data.loc[traders_data["staking"] == "non_Olas"]) > 0:
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if len(unknown_traders) > 0:
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weekly_unknown_trader_metrics_by_market_creator = (
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compute_weekly_metrics_by_market_creator(
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traders_data=unknown_traders,
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all_mech_calls=None,
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trader_filter=None,
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unknown_trader=True,
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)
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)
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