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携程下一代发布系统

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Update https://registry.npm.taobao.org to https://registry.npmmirror.com, For more info please refer to https://zhuanlan.zhihu.com/p/430580607. This is an automated PR by @npmmirror (Which is a bot maintained by 8d6e8cefe5a7e3202364ec2c48db03fcc544218cf70100bf65d2ed2df5cc83da).

前后端分离 但前端gulp报错起不起来 python组件的版本也都是比较低的

Running migrations: Rendering model states... DONE Applying contenttypes.0001_initial... OK Applying auth.0001_initial... OK Applying admin.0001_initial... OK Applying contenttypes.0002_remove_content_type_name... OK Applying auth.0002_alter_permission_name_max_length... OK Applying auth.0003_alter_user_email_max_length... OK Applying auth.0004_alter_user_username_opts... OK Applying auth.0005_alter_user_last_login_null... OK...

本人没玩过dock,你们给的readme文档看不懂到底是如何在安装配置使用的

修改tars/api/seriailzers/deployment.py 的validate_batch_pattern。 估计开源版本抹去了验证,但是代码维护出现问题 建议 ``` def validate_batch_pattern(self, pattern_str): return pattern_str # validator = self.Meta.model.deployment.related.model._meta\ # .batch_factory.validate_batch_pattern # try: # return validator(pattern_str) # except Exception as e: # raise ValidationError(e) ```

bug

点击发布后出现错误代码: ``` worker_1 | [2018-06-17 10:26:18,916: WARNING/Worker-1] POST http://es:9200/tars-2018-06-11/controller [status:N/A request:3.059s] worker_1 | Traceback (most recent call last): worker_1 | File "/usr/local/lib/python2.7/site-packages/elasticsearch/connection/http_urllib3.py", line 166, in perform_request worker_1 | response =...

报错内容太多,级别是 elasticsearch问题 报错内容 参考 https://github.com/elastic/elasticsearch-py/issues/167 上面的参考 提供的解决方法是设立 timeout,但是tars一定要 elasticsearch接入