feat: deploy training data to zoe root

tests/test_generate_training_data.py

@@ -1,6 +1,7 @@
 import argparse
 import json
 import shutil
+import subprocess
 import tempfile
 import unittest
 from pathlib import Path
@@ -14,7 +15,23 @@ class GenerateTrainingDataTests(unittest.TestCase):
         self.temp = tempfile.TemporaryDirectory()
         self.root = Path(self.temp.name)
         self.dictionary_dir = self.root / "dictionary"
-        shutil.copytree(self.repo / "dictionary", self.dictionary_dir)
+        self.dictionary_dir.mkdir()
+        shutil.copy2(self.repo / "dictionary" / "static-base.json", self.dictionary_dir / "static-base.json")
+        subprocess.run(
+            [
+                "cargo",
+                "run",
+                "--",
+                "dictionary",
+                "generate",
+                "--out-dir",
+                str(self.dictionary_dir),
+            ],
+            cwd=self.repo,
+            check=True,
+            stdout=subprocess.DEVNULL,
+            stderr=subprocess.DEVNULL,
+        )
         self.output_dir = self.root / "workspace_Data" / "data"
         self.output_dir.mkdir(parents=True)
         self.manifest = self.root / "workspace_Data" / "manifest.llm.json"
@@ -96,6 +113,13 @@ class GenerateTrainingDataTests(unittest.TestCase):
         self.assertIn("codebook_checksum", dataset)
         self.assertTrue((self.output_dir / "module_controller_intents_1234567890" / "train.jsonl").exists())
 
+    def test_training_data_relative_path_prefers_custom_root_shape(self):
+        path = Path("/Volumes/Zoe/custom-local-llm/training-data/module_controller_intents_123")
+        self.assertEqual(
+            bridge.relative_data_path(path),
+            "training-data/module_controller_intents_123",
+        )
+
 
 if __name__ == "__main__":
     unittest.main()