wehub-resource-sync
88 lines
4.2 KiB
YAML
88 lines
4.2 KiB
YAML
# 数据库配置， 当前加密串的密码是1234，
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# 密码加密参考 https://dataelem.feishu.cn/wiki/BSCcwKd4Yiot3IkOEC8cxGW7nPc#Gxitd1xEeof1TzxdhINcGS6JnXd
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database_url:
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"mysql+pymysql://root:gAAAAABlp4b4c59FeVGF_OQRVf6NOUIGdxq8246EBD-b0hdK_jVKRs1x4PoAn0A6C5S6IiFKmWn0Nm5eBUWu-7jxcqw6TiVjQA==@mysql:3306/bisheng?charset=utf8mb4"
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# 缓存配置 redis://[[username]:[password]]@localhost:6379/0
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# 如果设置了密码，需要参考MySQL密码的加密逻辑对密码进行加密。eg: redis://root:gAAAAABlp4b4c59FeVGF_OQRVf6NOUIGdxq8246EBD-b0hdK_jVKRs1x4PoAn0A6C5S6IiFKmWn0Nm5eBUWu-7jxcqw6TiVjQA==@redis:6379/0
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# 普通模式:
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redis_url: "redis://redis:6379/1"
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# 集群模式或者哨兵模式（只能选其一）:
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# redis_url:
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# mode: "cluster"
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# startup_nodes:
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# - {"host": "192.168.106.115", "port": 6002}
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# password: encrypt(gAAAAABlp4b4c59FeVGF_OQRVf6NOUIGdxq8246EBD-b0hdK_jVKRs1x4PoAn0A6C5S6IiFKmWn0Nm5eBUWu-7jxcqw6TiVjQA==)
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# #sentinel
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# mode: "sentinel"
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# sentinel_hosts: [("redis", 6379)]
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# sentinel_master: "mymaster"
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# sentinel_password: encrypt(gAAAAABlp4b4c59FeVGF_OQRVf6NOUIGdxq8246EBD-b0hdK_jVKRs1x4PoAn0A6C5S6IiFKmWn0Nm5eBUWu-7jxcqw6TiVjQA==)
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# db: 1
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# celery的broken地址
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celery_redis_url: "redis://redis:6379/2"
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celery_task:
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# 对celery熟悉的用户可以自定义配置任务的路由，启动不同类型的worker处理不同类型的异步任务。注意工作流的执行只能在一个进程内！！！
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task_routers:
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bisheng.worker.knowledge.*: # 知识库文件处理相关任务
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queue: knowledge_celery
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bisheng.worker.workflow.*: # 工作流相关任务
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queue: workflow_celery
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# 知识库的milvus和es配置 支持使用 !env ${PATH} 填写环境变量的值, 若环境变量不存在则会报错
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vector_stores:
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milvus:
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connection_args: !env ${BS_MILVUS_CONNECTION_ARGS}
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is_partition: !env ${BS_MILVUS_IS_PARTITION}
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partition_suffix: !env ${BS_MILVUS_PARTITION_SUFFIX}
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elasticsearch:
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url: !env ${BS_ELASTICSEARCH_URL}
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ssl_verify: !env ${BS_ELASTICSEARCH_SSL_VERIFY}
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# 对象存储， 目前只支持minio
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object_storage:
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type: minio
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minio:
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schema: !env ${BS_MINIO_SCHEMA}
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cert_check: !env ${BS_MINIO_CERT_CHECK}
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endpoint: !env ${BS_MINIO_ENDPOINT}
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sharepoint: !env ${BS_MINIO_SHAREPOINT}
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access_key: !env ${BS_MINIO_ACCESS_KEY}
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secret_key: !env ${BS_MINIO_SECRET_KEY}
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public_bucket: 'bisheng' # 公共bucket，存储平台上一些需要持久化的文件。会设置为可公开访问
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tmp_bucket: 'tmp-dir' # 临时bucket，会对传到此bucket内的文件设置有效期
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environment:
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env: dev
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uns_support: ['png','jpg','jpeg','bmp','doc', 'docx', 'ppt', 'pptx', 'xls', 'xlsx', 'txt', 'md', 'html', 'pdf', 'csv', 'tiff']
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# 可根据loguru的文档配置不同 handlers
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logger_conf:
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# 默认输出到sys.stdout的日志级别, 大于等于此级别都会输出
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level: DEBUG
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# 默认输出格式
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format: '<level>[{time:YYYY-MM-DD HH:mm:ss.SSSSSS}] [{level.name} process-{process.id}-{thread.id} {name}:{line}]</level> - <level>trace={extra[trace_id]} {message}</level>'
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# 参考loguru.add()中的参数可以配置多个handler
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handlers:
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# 文件路径，支持插入一些系统环境变量，若环境变量不存在则置空。例如 HOSTNAME: 主机名。后端会处理环境变量的替换
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- sink: "/app/data/bisheng.log"
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# 日志级别
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level: INFO
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# 日志格式化函数，extra内支持trace_id
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format: '<level>[{time:YYYY-MM-DD HH:mm:ss.SSSSSS}] [{level.name} process-{process.id}-{thread.id} {name}:{line}]</level> - <level>trace={extra[trace_id]} {message}</level>'
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# 每天的几点进行切割
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rotation: "00:00"
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retention: "3 Days"
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enqueue: ture
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- sink: "/app/data/statistic.log"
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level: INFO
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# 和原生不一样，后端会将配置使用eval()执行转为函数用来过滤特定日志级别。推荐lambda
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filter: "lambda record: record['level'].name == 'INFO' and record['message'].startswith('k=s')"
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format: "[{time:YYYY-MM-DD HH:mm:ss.SSSSSS}]|{level}|BISHENG|{extra[trace_id]}||{process.id}|{thread.id}|||#EX_ERR:POS={name},line {line},ERR=500,EMSG={message}"
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rotation: "00:00"
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retention: "3 Days"
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enqueue: ture
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