Add method to wait for portfolio update

[perso/Immae/Projets/Cryptomonnaies/Cryptoportfolio/Trader.git] / portfolio.py

diff --git a/portfolio.py b/portfolio.py
index 21a98342f15fa03ba7753be2a69579bda16cd7c9..b77f975e9cdf2d01cae09c07a72f3b8b15d16aa4 100644 (file)
--- a/portfolio.py
+++ b/portfolio.py
@@ -1,5 +1,5 @@
 import time
-from datetime import datetime
+from datetime import datetime, timedelta
 from decimal import Decimal as D, ROUND_DOWN
 # Put your poloniex api key in market.py
 from json import JSONDecodeError
@@ -14,12 +14,19 @@ class Portfolio:
     URL = "https://cryptoportfolio.io/wp-content/uploads/portfolio/json/cryptoportfolio.json"
     liquidities = {}
     data = None
+    last_date = None
 
     @classmethod
-    def repartition(cls, liquidity="medium"):
-        cls.parse_cryptoportfolio()
+    def wait_for_recent(cls, delta=4):
+        cls.repartition(refetch=True)
+        while cls.last_date is None or datetime.now() - cls.last_date > timedelta(delta):
+            time.sleep(30)
+            cls.repartition(refetch=True)
+
+    @classmethod
+    def repartition(cls, liquidity="medium", refetch=False):
+        cls.parse_cryptoportfolio(refetch=refetch)
         liquidities = cls.liquidities[liquidity]
-        cls.last_date = sorted(liquidities.keys())[-1]
         return liquidities[cls.last_date]
 
     @classmethod
@@ -34,8 +41,8 @@ class Portfolio:
             cls.data = None
 
     @classmethod
-    def parse_cryptoportfolio(cls):
-        if cls.data is None:
+    def parse_cryptoportfolio(cls, refetch=False):
+        if refetch or cls.data is None:
             cls.get_cryptoportfolio()
 
         def filter_weights(weight_hash):
@@ -57,7 +64,8 @@ class Portfolio:
             weights_hash = portfolio_hash["weights"]
             weights = {}
             for i in range(len(weights_hash["_row"])):
-                weights[weights_hash["_row"][i]] = dict(filter(
+                date = datetime.strptime(weights_hash["_row"][i], "%Y-%m-%d")
+                weights[date] = dict(filter(
                         filter_weights,
                         map(clean_weights(i), weights_hash.items())))
             return weights
@@ -69,6 +77,7 @@ class Portfolio:
                 "medium": medium_liquidity,
                 "high":   high_liquidity,
                 }
+        cls.last_date = max(max(medium_liquidity.keys()), max(high_liquidity.keys()))
 
 class Computation:
     computations = {