Reorganize scripts into python pkg

.run/prep_data.run.xml

@@ -31,7 +31,7 @@
       <option name="region" />
       <option name="useCurrentConnection" value="false" />
     </EXTENSION>
-    <option name="SCRIPT_NAME" value="$PROJECT_DIR$/scripts/prep_push_to_hf.py" />
+    <option name="SCRIPT_NAME" value="$PROJECT_DIR$/leviticus/prep_push_to_hf.py" />
     <option name="PARAMETERS" value="" />
     <option name="SHOW_COMMAND_LINE" value="false" />
     <option name="EMULATE_TERMINAL" value="false" />
@@ -40,4 +40,4 @@
     <option name="INPUT_FILE" value="" />
     <method v="2" />
   </configuration>
-</component>
+</component>

{scripts → kendex}/prep_push_to_hf.py

@@ -1,4 +1,3 @@
-#!/usr/bin/env python3
 from os.path import basename, join
 from pathlib import Path
 
@@ -31,27 +30,32 @@ def create_dataset(item):
     return dataset
 
 
-repo_dir = Path(__file__).resolve().parent.parent
-data_dir = join(repo_dir, "data")
-kendex_dir = join(data_dir, "Kendex")
-audio_dir = join(kendex_dir, "wavs")
+def main():
+    repo_dir = Path(__file__).resolve().parent.parent
+    data_dir = join(repo_dir, "data")
+    kendex_dir = join(data_dir, "Kendex")
+    audio_dir = join(kendex_dir, "wavs")
 
-metadata = pd.read_csv(join(kendex_dir, "metadata.csv"), delimiter="|", header=None)
-wavs = pd.Series([join(audio_dir, f"{f}.wav") for f in metadata[0]])
-data = {
-    "audio": wavs,
-    "file": [basename(w) for w in wavs],
-    "text": metadata[1],
-    "norm": metadata[1].map(lambda x: normalize(x)),
-    "duration": [librosa.get_duration(path=w) for w in wavs],
-}
+    metadata = pd.read_csv(join(kendex_dir, "metadata.csv"), delimiter="|", header=None)
+    wavs = pd.Series([join(audio_dir, f"{f}.wav") for f in metadata[0]])
+    data = {
+        "audio": wavs,
+        "file": [basename(w) for w in wavs],
+        "text": metadata[1],
+        "norm": metadata[1].map(lambda x: normalize(x)),
+        "duration": [librosa.get_duration(path=w) for w in wavs],
+    }
 
-df = pd.DataFrame(data).sample(frac=1, random_state=666).reset_index(drop=True)
+    df = pd.DataFrame(data).sample(frac=1, random_state=666).reset_index(drop=True)
 
-train, test = np.split(df, [int(0.9 * len(df))])
+    train, test = np.split(df, [int(0.9 * len(df))])
 
-train_dataset = create_dataset(train)
-test_dataset = create_dataset(test)
+    train_dataset = create_dataset(train)
+    test_dataset = create_dataset(test)
 
-full_dataset = DatasetDict({"train": train_dataset, "test": test_dataset})
-full_dataset.push_to_hub("michaelnetbiz/Kendex")
+    full_dataset = DatasetDict({"train": train_dataset, "test": test_dataset})
+    full_dataset.push_to_hub("michaelnetbiz/Kendex")
+
+
+if __name__ == "__main__":
+    main()

kendex/pull_from_s3.py

@@ -0,0 +1,28 @@
+import os
+import boto3
+import tarfile
+from pathlib import Path
+
+KENDEX_TARBALL = "Kendex.tar.gz"
+
+
+def main():
+    repo_dir = Path(__file__).resolve().parent.parent
+    data_dir = os.path.join(repo_dir, "data")
+    kendex_dir = os.path.join(data_dir, "Kendex")
+
+    if not Path(os.path.join(data_dir, KENDEX_TARBALL)).exists():
+        s3 = boto3.resource("s3")
+        kendex = s3.Bucket("kendex")
+        kendex.download_file(KENDEX_TARBALL, os.path.join(data_dir, KENDEX_TARBALL))
+        print(f"downloaded {KENDEX_TARBALL}")
+
+    if not Path(kendex_dir).exists():
+        file = tarfile.open(os.path.join(data_dir, KENDEX_TARBALL))
+        file.extractall(data_dir)
+        file.close()
+        print(f"extracted {KENDEX_TARBALL}")
+
+
+if __name__ == "__main__":
+    main()

scripts/pull_from_s3.py

@@ -1,24 +0,0 @@
-#!/usr/bin/env python3
-
-import os
-import boto3
-import tarfile
-from pathlib import Path
-
-KENDEX_TARBALL = "Kendex.tar.gz"
-
-repo_dir = Path(__file__).resolve().parent.parent
-data_dir = os.path.join(repo_dir, "data")
-kendex_dir = os.path.join(data_dir, "Kendex")
-
-if not Path(os.path.join(data_dir, KENDEX_TARBALL)).exists():
-    s3 = boto3.resource("s3")
-    kendex = s3.Bucket("kendex")
-    kendex.download_file(KENDEX_TARBALL, os.path.join(data_dir, KENDEX_TARBALL))
-    print(f"downloaded {KENDEX_TARBALL}")
-
-if not Path(kendex_dir).exists():
-    file = tarfile.open(os.path.join(data_dir, KENDEX_TARBALL))
-    file.extractall(data_dir)
-    file.close()
-    print(f"extracted {KENDEX_TARBALL}")