✨ add snowflake caching ;snowflake:

python_snippets.md

@@ -1,3 +1,46 @@
+## database file-caching
+
+```
+from pathlib import Path
+from snowflake.connector import connect
+import pandas as pd
+import hashlib
+
+def get_df(query, env, use_cache=True):
+    print(f'{query[:100] = }')
+    if env == "prod":
+        role = "COSUTMER"
+        warehouse = "CLOWN_COSTUMES"
+    elif env == "sand":
+        role = "CUSTOMER"
+        warehouse = "CUSTOMER_INFORMATION"
+    else:
+        raise ValueError(f"env must be prod or sand - recieved: {env}")
+
+    hash_query_4_digits = hashlib.shake_128(query.encode()).hexdigest(4)
+    cache_pkl_path = Path(f"/tmp/cache-{env}-{hash_query_4_digits}.pkl")
+    print(cache_pkl_path.exists(), cache_pkl_path)
+    if cache_pkl_path.exists() and use_cache:
+        print('loading cached data')
+        df = pd.read_pickle(cache_pkl_path)
+        return df
+
+    print("fetching & caching data")
+    with connect(
+        authenticator="externalbrowser",
+        user="dnth@lundbeck.com",
+        account=f"lundbeck-hlu{env}",
+        role=role,
+        warehouse=warehouse,
+    ) as con:
+        cur = con.cursor()
+        cur.execute(query)
+        df = cur.fetch_pandas_all()
+        df.to_pickle(cache_pkl_path)
+        return df
+```
+
+
 ## Python Kernel Management
 ```
 # install new kernel "my_new_env"