Introduce V2 of current and historical functions

wow_token/path_handler/math_path_handler.py

@@ -0,0 +1,50 @@
+import datetime
+from typing import List, Tuple
+
+from wow_token.db.cached_range import CachedRange
+from wow_token.db.compacted import Compacted
+from wow_token.db.recent import Recent
+from wow_token.db.trinity import Trinity
+from wow_token.flavor import Flavor
+from wow_token.path_handler.relative_error import InvalidRelativePathError
+from wow_token.path_handler.relative_path_handler import RelativePathHandler
+from wow_token.region import Region
+
+
+class MathPathHandler:
+    _cdb : Compacted
+    _rdb : Recent
+    def __init__(self, cdb: Compacted, rdb: Recent):
+        self._cdb = cdb
+        self._rdb = rdb
+
+    def path_handler(self, uri: str) -> List[Tuple[str, int]]:
+        # This URI takes the form of /v2/math/{math_function}/{flavor}/{region}/{range}
+        split_uri = uri.split('/')
+        math_function = split_uri[-4]
+        data = RelativePathHandler(self._cdb, self._rdb).path_handler(uri)
+
+        match math_function:
+            case 'avg':
+                return self._avg(data)
+            case _:
+                raise NotImplementedError
+
+
+    def _avg(self, data: List[Tuple[str, int]]) -> List[Tuple[str, int]]:
+        avg_buckets = []
+        bucket_timestamp = None
+        bucket_price = 0
+        bucket_count = 0
+        for timestamp, price in data:
+            if bucket_timestamp is None:
+                bucket_timestamp = datetime.datetime.fromisoformat(timestamp)
+            elif bucket_timestamp.date() != datetime.datetime.fromisoformat(timestamp).date():
+                bucket_head = datetime.datetime(year=bucket_timestamp.year, month=bucket_timestamp.month, day=bucket_timestamp.day)
+                avg_buckets.append((bucket_head.isoformat(), int(bucket_price/bucket_count)))
+                bucket_price = 0
+                bucket_count = 0
+                bucket_timestamp = datetime.datetime.fromisoformat(timestamp)
+            bucket_price += price
+            bucket_count += 1
+        return avg_buckets