From 55c09aeaa25b4bb88a50e09ba68fa6ff00a6d676 Mon Sep 17 00:00:00 2001
From: shixian.shi <shixian.shi@alibaba-inc.com>
Date: 星期一, 15 一月 2024 20:10:39 +0800
Subject: [PATCH] update readme, fix seaco bug

---
 funasr/download/download_from_hub.py |   58 ++++++++++++++++++++++++++++++++++++++--------------------
 1 files changed, 38 insertions(+), 20 deletions(-)

diff --git a/funasr/download/download_from_hub.py b/funasr/download/download_from_hub.py
index abf3ba0..57e8c41 100644
--- a/funasr/download/download_from_hub.py
+++ b/funasr/download/download_from_hub.py
@@ -7,24 +7,24 @@
 def download_model(**kwargs):
 	model_hub = kwargs.get("model_hub", "ms")
 	if model_hub == "ms":
-		kwargs = download_fr_ms(**kwargs)
+		kwargs = download_from_ms(**kwargs)
 	
 	return kwargs
 
-def download_fr_ms(**kwargs):
+def download_from_ms(**kwargs):
 	model_or_path = kwargs.get("model")
 	if model_or_path in name_maps_ms:
 		model_or_path = name_maps_ms[model_or_path]
 	model_revision = kwargs.get("model_revision")
 	if not os.path.exists(model_or_path):
-		model_or_path = get_or_download_model_dir(model_or_path, model_revision, is_training=kwargs.get("is_training"))
+		model_or_path = get_or_download_model_dir(model_or_path, model_revision, is_training=kwargs.get("is_training"), check_latest=kwargs.get("kwargs", True))
+	kwargs["model_path"] = model_or_path
 	
 	config = os.path.join(model_or_path, "config.yaml")
 	if os.path.exists(config) and os.path.exists(os.path.join(model_or_path, "model.pb")):
-		# config = os.path.join(model_or_path, "config.yaml")
-		# assert os.path.exists(config), "{} is not exist!".format(config)
-		cfg = OmegaConf.load(config)
-		kwargs = OmegaConf.merge(cfg, kwargs)
+		
+		config = OmegaConf.load(config)
+		kwargs = OmegaConf.merge(config, kwargs)
 		init_param = os.path.join(model_or_path, "model.pb")
 		kwargs["init_param"] = init_param
 		if os.path.exists(os.path.join(model_or_path, "tokens.txt")):
@@ -35,25 +35,43 @@
 			kwargs["tokenizer_conf"]["seg_dict"] = os.path.join(model_or_path, "seg_dict")
 		if os.path.exists(os.path.join(model_or_path, "bpe.model")):
 			kwargs["tokenizer_conf"]["bpemodel"] = os.path.join(model_or_path, "bpe.model")
-		kwargs["model"] = cfg["model"]
+		kwargs["model"] = config["model"]
 		if os.path.exists(os.path.join(model_or_path, "am.mvn")):
 			kwargs["frontend_conf"]["cmvn_file"] = os.path.join(model_or_path, "am.mvn")
-	else:# configuration.json
-		assert os.path.exists(os.path.join(model_or_path, "configuration.json"))
+		if os.path.exists(os.path.join(model_or_path, "jieba_usr_dict")):
+			kwargs["jieba_usr_dict"] = os.path.join(model_or_path, "jieba_usr_dict")
+	elif os.path.exists(os.path.join(model_or_path, "configuration.json")):
 		with open(os.path.join(model_or_path, "configuration.json"), 'r', encoding='utf-8') as f:
 			conf_json = json.load(f)
-			config = os.path.join(model_or_path, conf_json["model"]["model_config"])
-			cfg = OmegaConf.load(config)
-			kwargs = OmegaConf.merge(cfg, kwargs)
-			init_param = os.path.join(model_or_path, conf_json["model"]["model_name"])
-			kwargs["init_param"] = init_param
-		kwargs["model"] = cfg["model"]
+			cfg = {}
+			add_file_root_path(model_or_path, conf_json["file_path_metas"], cfg)
+			cfg.update(kwargs)
+			config = OmegaConf.load(cfg["config"])
+			kwargs = OmegaConf.merge(config, cfg)
+		kwargs["model"] = config["model"]
 	return OmegaConf.to_container(kwargs, resolve=True)
 
+def add_file_root_path(model_or_path: str, file_path_metas: dict, cfg = {}):
+	
+	if isinstance(file_path_metas, dict):
+		for k, v in file_path_metas.items():
+			if isinstance(v, str):
+				p = os.path.join(model_or_path, v)
+				if os.path.exists(p):
+					cfg[k] = p
+			elif isinstance(v, dict):
+				if k not in cfg:
+					cfg[k] = {}
+				return add_file_root_path(model_or_path, v, cfg[k])
+	
+	return cfg
+
+
 def get_or_download_model_dir(
-                              model,
-                              model_revision=None,
-							  is_training=False,
+		model,
+		model_revision=None,
+		is_training=False,
+		check_latest=True,
 	):
 	""" Get local model directory or download model if necessary.
 
@@ -69,7 +87,7 @@
 	
 	key = Invoke.LOCAL_TRAINER if is_training else Invoke.PIPELINE
 	
-	if os.path.exists(model):
+	if os.path.exists(model) and check_latest:
 		model_cache_dir = model if os.path.isdir(
 			model) else os.path.dirname(model)
 		try:

--
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