Enhance vectorizer config handling in project.py

[Kaedeser]

解决issue719问题。原因应该是向量化器配置在校验/导入时没有拿到 type （或拿到的是空配置），于是框架退回去尝试按基类构造，触发 pyhocon 的缺键异常，最终包装成 invalid vectorizer config: 'No configuration setting found for key name' 。我已经做出修改同时兼容 vectorizer 和 vectorize_model 两种写法，并把维度写回两边，避免后续流程再读空

[whfcarter]

If both keys exist with different values, the code prioritizes vectorizer but doesn't warn users about config conflicts

[whfcarter]

Empty dict triggers the second part of 'or'

[whfcarter]

is unnecessary since the key existence was already checked.

Suggest changing to

config["vectorizer"] = config["vectorize_model"]

[Kaedeser]

I hav fixed according to the suggestions and resubmit.

[whfcarter]

整体写的还是有点冗余，可以参考。

统一的配置获取和规范化逻辑

vectorizer_config = config.get("vectorizer", {})
vectorize_model_config = config.get("vectorize_model", {})

选择非空配置，如果都存在则优先使用 vectorizer

if vectorizer_config:
vectorize_model_config = vectorizer_config
elif vectorize_model_config:
vectorizer_config = vectorize_model_config
else:
vectorizer_config = vectorize_model_config = {}

统一写回（如果都为空就不需要写回）

if vectorizer_config or vectorize_model_config:
config["vectorizer"] = vectorizer_config
config["vectorize_model"] = vectorize_model_config

try:
llm_config_checker.check(json.dumps(llm_config))
dim = vectorize_model_config_checker.check(json.dumps(vectorizer_config))

# 只有在配置存在且为字典时才写入维度
if isinstance(config.get("vectorizer"), dict):
    config["vectorizer"]["vector_dimensions"] = dim
if isinstance(config.get("vectorize_model"), dict):
    config["vectorize_model"]["vector_dimensions"] = dim

[whfcarter]

LGTM