feat: 人设模板系统、节点调度标签、pydantic-settings收敛、错误处理增强
新增persona_template表和CRUD API,BaseIndividualModel增加node_affinity和template_origin_id字段, WorkerCluster支持多集群Ray资源调度,环境变量收敛到pydantic-settings统一校验, 数据库异常转换为结构化BusinessError/RetryableError,系统节点支持custom_system_prompt。 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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@@ -12,7 +12,6 @@
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import sys
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from loguru import logger
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@@ -23,15 +22,11 @@ from kilostar.utils.request_context import get_request_id, get_trace_id
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def _is_json_mode() -> bool:
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"""根据环境变量决定是否启用 JSON 结构化日志。
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支持开关:``KILOSTAR_LOG_FORMAT=json`` 或 ``KILOSTAR_LOG_JSON=1/true``。
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"""
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fmt = os.environ.get("KILOSTAR_LOG_FORMAT", "").lower()
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if fmt == "json":
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from kilostar.utils.settings import get_settings
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s = get_settings().log
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if s.kilostar_log_format.lower() == "json":
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return True
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flag = os.environ.get("KILOSTAR_LOG_JSON", "").lower()
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return flag in {"1", "true", "yes", "on"}
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return s.kilostar_log_json.lower() in {"1", "true", "yes", "on"}
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def _ctx_patcher(record):
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@@ -58,7 +53,8 @@ def setup_logger() -> Logger:
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"""
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logger.remove()
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log_level = os.environ.get("KILOSTAR_LOG_LEVEL", "DEBUG").upper()
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from kilostar.utils.settings import get_settings
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log_level = get_settings().log.kilostar_log_level.upper()
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if _is_json_mode():
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logger.configure(
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