Double check that we have the right directory

.github/workflows/build-docs.yaml

@@ -14,15 +14,21 @@ jobs:
   deploy:
     runs-on: ubuntu-latest
     steps:
+      - name: Check out website
+        uses: actions/checkout@v4
+        with:
+          path: website-draft
+          fetch-depth: 0
       - name: Check out submissions
         uses: actions/checkout@master
         with:
           fetch-depth: 0
           repository: scicode-bench/submissions
-      - name: Check out website
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
+          path: submissions
+      - name: Verify directory structure
+        run: |
+          sudo apt-get install tree
+          tree -d .
       - name: Configure Git Credentials
         run: |
           git config user.name github-actions[bot]
@@ -45,6 +51,9 @@ jobs:
           pwd
           ls
           uv pip install --python ${Python_ROOT_DIR} -r 'requirements.txt'
+      - name: Verify directory structure
+        run: |
+          tree -d ../../
       - name: Building leaderboard
         run: python leaderboard/create_leaderboard.py --input ../submissions --output docs/leaderboard_table.md
       - name: Build Documentation

README.md

@@ -0,0 +1,7 @@
+# Scicode website
+
+## Building it
+
+```bash
+
+```

leaderboard/create_leaderboard.py

@@ -2,6 +2,7 @@
 
 import argparse
 import dataclasses
+from multiprocessing import Value
 from pathlib import Path
 import pandas as pd
 import json
@@ -48,7 +49,14 @@ def to_file(self, path: Path, score="default"):
 
 def main(input: str, output: str) -> None:
     la = LeaderboardAggregator()
-    for inpt in Path(input).rglob("score.json"):
+    if not Path(input).is_dir():
+        msg = "Input must be an existing directory"
+        raise ValueError(msg)
+    score_files = Path(input).rglob("score.json")
+    if not score_files:
+        msg = "No score files found"
+        raise ValueError(msg)
+    for inpt in score_files:
         print("Loading", inpt)
         la.load_file(inpt)
     la.to_file(Path(output))