
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具,协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题,请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前,不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式,不推荐豆包 AI;Cursor 等编辑器可在对话 @ 该链接,或加入 User Rules。 若 AI 无法访问外链,可 打开说明文档 复制全文粘贴。文档会随站点更新,复制内容可能过期,建议定期检查。
| Name | Aggregator |
| GitHub | https://github.com/weeve-modules/aggregator |
| authors | Jakub Grzelak, Sanyam Arya |
Aggregator is a processing module responsible for aggregating data passing through weeve data services. Aggregator collects data within a time interval specified by a data service developer, and then it applies a chosen aggregation function. This module is containerized using Docker.
Supported functions:
The following module configurations can be provided in a data service designer section on weeve platform:
| Name | Environment Variables | type | Description |
|---|---|---|---|
| Interval Unit | INTERVAL_UNIT | string | The unit for time interval (ms, s, m, h, d) |
| Interval Period | INTERVAL_PERIOD | integer | The time interval on which aggregation will be applied |
| Function | FUNCTION | string | Aggregation function to apply (mean, max, spread, median, sum, stddv, count, first, min, last) |
| Input Label | INPUT_LABEL | string | The input label on which anomaly is detected |
| Output Label | OUTPUT_LABEL | string | The output label as which data is dispatched |
Other features required for establishing the inter-container communication between modules in a data service are set by weeve agent.
| Environment Variables | type | Description |
|---|---|---|
| MODULE_NAME | string | Name of the module |
| MODULE_TYPE | string | Type of the module (Input, Processing, Output) |
| EGRESS_URL | string | HTTP ReST endpoint for the next module |
| INGRESS_HOST | string | Host to which data will be received |
| INGRESS_PORT | string | Port to which data will be received |
txtbottle requests
Input to this module is JSON body single object:
Example:
json{ temperature: 15, input_unit: Celsius }
Output of this module is JSON body array of objects.
Output of this module is JSON body:
json{ "<OUTPUT_LABEL>": <Processed data>, }
OUTPUT_LABEL is specified at the module creation and Processed data is data processed by Module Main function.Example:
json{ meanTemp: 54.7, }
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