Fixed paths in archival.py

combo/modules/archival.py

 import os
+import shutil
+import tempfile
 from os import PathLike
 from pathlib import Path
 from typing import Any, Dict, Union, NamedTuple, Optional
@@ -14,11 +16,19 @@ from combo.config import resolve
 from combo.data.dataset_loaders import DataLoader
 from combo.data.dataset_readers import DatasetReader
 from combo.modules.model import Model
-from combo.utils import ConfigurationError
+from contextlib import contextmanager
+
+import logging
+from combo.utils import ComboLogger
+
+logging.setLoggerClass(ComboLogger)
+logger = logging.getLogger(__name__)
+
 
 CACHE_ROOT = Path(os.getenv("COMBO_CACHE_ROOT", Path.home() / ".combo"))
 CACHE_DIRECTORY = str(CACHE_ROOT / "cache")
 
+PREFIX = 'Loading archive'
 
 class Archive(NamedTuple):
     model: Model
@@ -82,21 +92,42 @@ def archive(model: Model,
     return serialization_dir
 
 
+@contextmanager
+def extracted_archive(resolved_archive_file, cleanup=True):
+    tempdir = None
+    try:
+        tempdir = tempfile.mkdtemp(dir=CACHE_DIRECTORY)
+        with tarfile.open(resolved_archive_file) as archive:
+            subdir_and_files = [
+                tarinfo for tarinfo in archive.getmembers()
+                if (any([tarinfo.name.endswith(f) for f in ['config.json', 'weights.th']])
+                    or 'vocabulary' in tarinfo.name)
+            ]
+            for f in subdir_and_files:
+                if 'vocabulary' in f.name and not f.name.endswith('vocabulary'):
+                    f.name = os.path.join('vocabulary', os.path.basename(f.name))
+                else:
+                    f.name = os.path.basename(f.name)
+            archive.extractall(path=tempdir, members=subdir_and_files)
+            yield tempdir
+    finally:
+        if tempdir is not None and cleanup:
+            shutil.rmtree(tempdir, ignore_errors=True)
+
+
 def load_archive(url_or_filename: Union[PathLike, str],
                  cache_dir: Union[PathLike, str] = None,
                  cuda_device: int = -1) -> Archive:
-    archive_file = cached_path.cached_path(
+
+    rarchive_file = cached_path.cached_path(
             url_or_filename,
             cache_dir=cache_dir or CACHE_DIRECTORY,
-            extract_archive=True
         )
+
+    with extracted_archive(rarchive_file) as archive_file:
         model = Model.load(archive_file, cuda_device=cuda_device)
 
         config_path = os.path.join(archive_file, 'config.json')
-    if not os.path.exists(config_path):
-        config_path = os.path.join(archive_file, 'model/config.json')
-    if not os.path.exists(config_path):
-        raise ConfigurationError("config.json is not stored in " + str(archive_file) + " or " + str(archive_file) + "/model")
         with open(config_path, 'r') as f:
             config = json.load(f)
 
@@ -105,12 +136,28 @@ def load_archive(url_or_filename: Union[PathLike, str],
         if config.get("model_name"):
             pass_down_parameters = {"model_name": config.get("model_name")}
 
+
         if 'data_loader' in config:
-        data_loader = resolve(config['data_loader'], pass_down_parameters=pass_down_parameters)
+            try:
+                data_loader = resolve(config['data_loader'],
+                                      pass_down_parameters=pass_down_parameters)
+            except Exception as e:
+                logger.warning(f'Error while loading Training Data Loader: {str(e)}. Setting Data Loader to None',
+                               prefix=PREFIX)
         if 'validation_data_loader' in config:
-        validation_data_loader = resolve(config['validation_data_loader'], pass_down_parameters=pass_down_parameters)
+            try:
+                validation_data_loader = resolve(config['validation_data_loader'],
+                                                 pass_down_parameters=pass_down_parameters)
+            except Exception as e:
+                logger.warning(f'Error while loading Validation Data Loader: {str(e)}. Setting Data Loader to None',
+                               prefix=PREFIX)
         if 'dataset_reader' in config:
-        dataset_reader = resolve(config['dataset_reader'], pass_down_parameters=pass_down_parameters)
+            try:
+                dataset_reader = resolve(config['dataset_reader'],
+                                         pass_down_parameters=pass_down_parameters)
+            except Exception as e:
+                logger.warning(f'Error while loading Dataset Reader: {str(e)}. Setting Dataset Reader to None',
+                               prefix=PREFIX)
 
     return Archive(model=model,
                    config=config,

combo/modules/model.py

@@ -349,10 +349,6 @@ class Model(Module, pl.LightningModule, FromParameters):
 
         # Load vocabulary from file
         vocab_dir = os.path.join(serialization_dir, "vocabulary")
-        if not os.path.exists(vocab_dir):
-            vocab_dir =os.path.join(serialization_dir, "model/vocabulary")
-        if not os.path.exists(vocab_dir):
-            raise ConfigurationError("Vocabulary not saved in " + serialization_dir + " or " + serialization_dir + "/model")
         # If the config specifies a vocabulary subclass, we need to use it.
         vocab_params = config.get("vocabulary")
         if vocab_params['type'] == 'from_files_vocabulary':

combo/utils/logging.py

@@ -27,7 +27,7 @@ class ComboLogger(logging.Logger):
         self.log(level=logging.INFO, msg=msg, prefix=prefix)
 
     @overrides(check_signature=False)
-    def warn(self, msg: str, prefix: str = None):
+    def warning(self, msg: str, prefix: str = None):
         self.log(level=logging.WARN, msg=msg, prefix=prefix)
 
     @overrides(check_signature=False)