Changes for actions friendly container

Author: sertalpbilal

Diff for: Dockerfile

@@ -4,15 +4,17 @@ RUN apt-get update
 RUN apt install -y python3 python3-pip
 
 RUN pip install carball
+RUN pip install numpy==1.20.3
 RUN pip install requests
 RUN pip install python-dotenv
 RUN pip install ipykernel
 RUN pip install xgboost
 RUN pip install scikit-learn
 RUN pip install progress
 RUN pip install wrapt_timeout_decorator
+RUN pip install matplotlib tabulate astropy colorama
 
-WORKDIR /src
+WORKDIR /app/src
 
 CMD python3 replay.py && python3 convert.py && cd xg_model && python3 -c "from score import convert_all; convert_all()" && cd .. && python3 csv_trimmer.py && python3 boxcarstest.py
 # && python3 boxcars_dev.py

Diff for: data/charts/full_canvas.png

@@ -806,10 +806,10 @@
     {
       "playerIds": [
         {
-          "id": "bf81d8692db"
+          "id": "76561198039309853"
         },
         {
-          "id": "76561198039309853"
+          "id": "bf81d8692db"
         }
       ],
       "score": 5,

Diff for: data/charts/latest_streak/full_canvas.png

@@ -7,5 +7,4 @@ services:
       - LANG=C.UTF-8
     env_file: .env
     volumes:
-      - ./data:/data
-      - ./src:/src
+      - .:/app

Diff for: data/json/97ddb298-f27a-4341-8adf-a29585f8fcc4.json

@@ -32,6 +32,8 @@
 from numpy.lib.stride_tricks import sliding_window_view
 from colorama import Fore, Back, Style
 from PIL import Image
+import glob
+from pathlib import Path
 
 startTime = time.time()
 
@@ -1536,8 +1538,10 @@ def poisson_probability(actual, mean):
         res_num += 1
 
     # Clear json_new directory
-    shutil.rmtree("../data/json_new/")
-    os.makedirs("../data/json_new/")
+    all_files = glob.glob('../data/json_new/*.json')
+    for f in all_files:
+        os.unlink(f)
+    Path("../data/json_new").mkdir(parents=True, exist_ok=True)
 
     # Copy most recent streak games to /json_new/
     for file in streak_filenames[len(streak_filenames) - 1]:

Diff for: docker-compose.yml

@@ -51,7 +51,7 @@ def score_game(self, game_id):
             print(e)
             return
         shots['xg'] = xg
-        print(shots)
+        # print(shots)
         print(shots.groupby('shot_taker_name')['xg'].sum())
 
         e = shots[['shot_taker_name', 'is_orange', 'time', 'xg', 'shot', 'goal']].copy()