Update README, fix node memory and cpu allocation

.github/workflows/python-app.yml

@@ -0,0 +1,39 @@
+# This workflow will install Python dependencies, run tests and lint with a single version of Python
+# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
+
+name: Python application
+
+on:
+  push:
+    branches: [ "main" ]
+  pull_request:
+    branches: [ "main" ]
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python 3.10
+      uses: actions/setup-python@v3
+      with:
+        python-version: "3.10"
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install flake8 pytest
+        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+    - name: Lint with flake8
+      run: |
+        # stop the build if there are Python syntax errors or undefined names
+        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+    - name: Test with pytest
+      run: |
+        pytest

Makefile

@@ -3,6 +3,8 @@ SHELL := /bin/bash
 
 .PHONY: install run run-detailed
 
+INPUT?=data_sample/example.csv
+
 install:
 	python3 -m venv .venv
 	. ./.venv/bin/activate
@@ -15,7 +17,7 @@ run:
 
 run-detailed:
 	. ./.venv/bin/activate
-	python main.py -i data_sample/example.csv -d
+	python main.py -i ${INPUT} -d
 
 run-debug:
 	. ./.venv/bin/activate

lib/create_pod_list.py

@@ -1,6 +1,6 @@
 from math import floor
 
-
+#TODO: Track odd pod counts or anti-affinity and use CEILING instead of FLOOR
 class CreatPodList(object):
     @staticmethod
     def get_antiaffinity(anti_affinity: int) -> int:

lib/node.py

@@ -22,8 +22,8 @@ def __init__(self, name: int, mem_total: int, cpu_total: int, allocation: int):
         self.mem_total = mem_total - kublet_reserve_mem(mem_total)
         self.cpu_total = cpu_total - kublet_reserve_cpu(cpu_total)
         self.allocation = allocation
-        self.mem_available = mem_total * (allocation / 100)
-        self.cpu_available = cpu_total * (allocation / 100)
+        self.mem_available = self.mem_total * (allocation / 100)
+        self.cpu_available = self.cpu_total * (allocation / 100)
         self.mem_used = 0
         self.cpu_used = 0
         self.pods = []