WIP (do not merge!): refactor pretty much everything (#78)

* refactor handlers

* refactor creation of stds and aggs tablesg

* stds table update trigger

* group crud func into controller module

* consolidate stds and aggs into stats

* key bug fix;

* bug fix func name

* move filtered pool to outlier section]

* func for welford step update

* bug fix imports

* field bug fix

* smol changes

* rename func

* exclusion of projects, pools, lb, ub

* add confirm msg to scripts

* bug fix

* move apy filter to controller

* modify pools query

* update stats boostrap

* add ssm path

* bug fix

* handler args

* welford bug fix

* ignore test

* include test case

scripts/prepareSnapshot.py

@@ -0,0 +1,22 @@
+import pandas as pd
+
+
+def trim():
+    # this script reduces hourly data to daily data (latest value per pool based on timestamp)
+    # note: i didn't manage to run this directly on db server, hence the script
+
+    timestamp = "2022_07_15"
+    df = pd.read_csv(f"pools_{timestamp}.csv")
+    df["timestamp"] = pd.to_datetime(df["timestamp"])
+    df = df.sort_values(["pool", "timestamp"]).reset_index(drop=True)
+    (
+        df.groupby(["pool", pd.Grouper(key="timestamp", freq="1D")])
+        .last()
+        .reset_index()
+        .drop(columns=["timestamp"])
+        .to_json(f"pools_{timestamp}_daily.json", orient="records")
+    )
+
+
+if __name__ == "__main__":
+    trim()