refactor: rename config env vars and default config path to songtrace

Dockerfile

@@ -11,7 +11,7 @@ COPY pyproject.toml ./
 COPY src ./src
 RUN pip install --no-cache-dir .
 
-ENV KARAOKE_MAKER_CONFIG=/config/config.toml \
+ENV SONGTRACE_CONFIG=/config/config.toml \
     TORCH_HOME=/data/models \
     XDG_CACHE_HOME=/data/models/cache
 

src/songtrace/config.py

@@ -12,7 +12,7 @@ class Config:
     whisper_api: str = "openai"
     output_dir: Path = Path("output")
     work_dir: Path = Path("work")
-    creator: str = "karaoke-maker"
+    creator: str = "songtrace"
     demucs_model: str = "htdemucs_ft"
     crepe_model: str = "full"
     device: str = "cuda"
@@ -25,8 +25,8 @@ _PATH_FIELDS = {"output_dir", "work_dir"}
 
 def load_config(path: Path | None = None) -> Config:
     if path is None:
-        env = os.environ.get("KARAOKE_MAKER_CONFIG")
-        path = Path(env) if env else Path.home() / ".config/karaoke-maker/config.toml"
+        env = os.environ.get("SONGTRACE_CONFIG")
+        path = Path(env) if env else Path.home() / ".config/songtrace/config.toml"
     data = tomllib.loads(Path(path).read_text())
     known = {f.name for f in fields(Config)}
     unknown = set(data) - known

tests/test_config.py

@@ -24,7 +24,7 @@ def test_paths_and_overrides(tmp_path):
 def test_env_var(tmp_path, monkeypatch):
     cfg_file = tmp_path / "c.toml"
     cfg_file.write_text('whisper_url = "http://env/v1"\n')
-    monkeypatch.setenv("KARAOKE_MAKER_CONFIG", str(cfg_file))
+    monkeypatch.setenv("SONGTRACE_CONFIG", str(cfg_file))
     assert load_config().whisper_url == "http://env/v1"
 
 

tests/test_e2e.py

@@ -4,8 +4,8 @@ import shutil
 import pytest
 
 requires_full = pytest.mark.skipif(
-    not os.environ.get("KARAOKE_E2E"),
-    reason="set KARAOKE_E2E=1 (needs GPU, ffmpeg, whisper server, network)")
+    not os.environ.get("SONGTRACE_E2E"),
+    reason="set SONGTRACE_E2E=1 (needs GPU, ffmpeg, whisper server, network)")
 
 @requires_full
 def test_full_pipeline(tmp_path):
@@ -16,10 +16,10 @@ def test_full_pipeline(tmp_path):
     cfg.output_dir = tmp_path / "out"
     cfg.work_dir = tmp_path / "work"
     inp = SongInput(
-        title=os.environ["KARAOKE_E2E_TITLE"],
-        artist=os.environ["KARAOKE_E2E_ARTIST"],
-        lyrics_text=open(os.environ["KARAOKE_E2E_LYRICS"]).read(),
-        youtube_url=os.environ.get("KARAOKE_E2E_URL"),
+        title=os.environ["SONGTRACE_E2E_TITLE"],
+        artist=os.environ["SONGTRACE_E2E_ARTIST"],
+        lyrics_text=open(os.environ["SONGTRACE_E2E_LYRICS"]).read(),
+        youtube_url=os.environ.get("SONGTRACE_E2E_URL"),
     )
     result = run_pipeline(inp, cfg)
     txts = list(result.output_dir.glob("*.txt"))