Add PR review action

.github/review_pull_request.py

@@ -0,0 +1,21 @@
+import pandas as pd
+from policyengine_us_data.data_storage import STORAGE_FOLDER
+from IPython.display import Markdown
+
+def main():
+    df = pd.read_csv(STORAGE_FOLDER / "evaluation.csv")
+
+    most_recent_rows = df[df.Date == df.Date.max()].sort_values(["Variable", "Time period"]).set_index(["Variable", "Time period"]).Total
+    second_most_recent_rows = df[df.Date == df.Date.sort_values().unique()[-2]].reset_index(drop=True).sort_values(["Variable", "Time period"]).set_index(["Variable", "Time period"]).Total
+
+    diff = (most_recent_rows - second_most_recent_rows)
+    # Convert to df
+    diff = diff.reset_index()
+    table = diff.to_markdown(index=False)
+
+    review_text = f"""## National projection changes\n\n{table}"""
+
+    print(review_text)
+
+if __name__ == "__main__":
+    main()

.github/workflows/pull_request.yaml

@@ -0,0 +1,32 @@
+name: Pull request
+
+on:
+  pull_request:
+    branches:
+      - main
+
+jobs:
+  build:
+    name: Build and test
+    runs-on: ubuntu-latest
+    env:
+      GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v2
+
+      - name: Set up Python
+        uses: actions/setup-python@v2
+
+      - name: Install dependencies
+        run: make install
+
+      - name: Run tests
+        run: make test
+
+      - name: Run evaluation
+        run: make evaluate
+
+      - name: Add review comment
+        run: python .github/review_pull_request.py

.github/workflows/push.yaml

@@ -29,4 +29,4 @@ jobs:
         run: make evaluate
 
       - name: Upload evaluation
-        run: python .github/upload_evaluation
+        run: python .github/upload_evaluation.py