Merge and stuff.

server/activate.sh

@@ -12,6 +12,7 @@ source venv/bin/activate
 echo Installing required Python packages
 pip install -Ur requirements.txt
 
+
 function run() {
     python -m nightr
 }

server/nightr/app.py

@@ -7,8 +7,8 @@ from typing import List
 import requests_cache
 from flask import Flask, jsonify
 
-from strategies import dmi, steam, miloStrats
+from server.nightr.strategies import dmi, steam, miloStrats
-import Context
+from server.nightr.util import Context
 
 app = Flask(__name__)
 
@@ -19,8 +19,8 @@ strategies = {
     # name: (weight, probability function)
     "dmi": (0.5, dmi.probability),
     "steam": (1.0, steam.probability),
-    "australia" : (0.5, miloStrats.australiaStrat),
+    "australia": (1.0, miloStrats.australiaStrat),
-    "camera" : (0.5, miloStrats.camImgStrat),
+    "camera": (1.0, miloStrats.camImgStrat),
 }
 
 
@@ -49,6 +49,12 @@ def probabilities():
     median = statistics.median(p["weighted_probability"] for p in predictions)
     night = mean > 0.5
 
+    # Invert if we're in Australia
+    if context.in_australia:
+        night = not night
+        for prediction in predictions:
+            prediction["night"] = not prediction["night"]
+
     # Calculate contributions of predictions
     consensus_weight_sum = sum(p["weight"] for p in predictions if p["night"] == night)
     for prediction in predictions:

server/nightr/steamplayerhistory.py

@@ -1,6 +1,8 @@
-import requests
-from datetime import datetime
 import time
+from datetime import datetime
+
+import requests
+
 
 def main():
     filename = "dotaplayers " + str(datetime.now()) + ".csv"
@@ -16,5 +18,6 @@ def main():
         f.close()
         time.sleep(100)
 
+
 if __name__ == '__main__':
     main()

server/nightr/strategies/miloStrats.py

@@ -1,6 +1,8 @@
+from datetime import datetime
+
 import cv2
-from datetime import datetime, timedelta
 from pytz import timezone
+
 from server.nightr.util import Context, Prediction
 
 

server/nightr/util.py

@@ -1,11 +1,15 @@
 from dataclasses import dataclass, field
-from typing import List, Tuple
+from typing import List, Dict
 
 
 @dataclass
 class Context:
-    battery: float = 1.0
+    battery: float
-    coordinates: Tuple[float, float] = (0.0, 0.0)
+    position: Dict[str, float]  # {'latitude': '23.2583', 'longitude': '154.0417'}
+
+    # App settings
+    in_australia: bool = False
+    flat_earth: bool = False
 
 
 @dataclass

server/requirements.txt

@@ -2,3 +2,6 @@ Flask==1.0.2
 requests==2.21.0
 requests-cache==0.4.13
 pytz
+beautifulsoup4
+pandas
+opencv-python