
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。
Those scripts are made designed to convert files on transport.data.gouv.fr into differents formats.
The converted files are published as community resources on data.gouv.fr.
The API provides several usefull routes:
/convert_to_netex_and_geojson: Convert the GTFS into a GeoJson And a NeTEx and publish the new filse as community resource on data.gouv.fr/gtfs2netexfr: Convert the GTFS into a ziped NeTEx and publish the new file as community resource on data.gouv.fr/gtfs2geojson: Convert the GTFS into a GeoJson and publish the new file as community resource on data.gouv.frAll Those routes need the same parameters:
url: URL of the GTFSdatagouv_id: Id or the datagouv dataset containing the GTFS. This is used to publish the generated file on this datasetIf you use direnv, copy the envrc.example to .envrc and set the credential. Else export those variable.
You need to have:
NETEX_CONVERTER to the path to this ***aryGEOJSON_CONVERTER to the path to this ***aryThose ***aries need to be build (https://www.rust-lang.org/ is needed).
In a python3 virtual env :
pip install -r requirements_dev.txt
honcho start
You can then query the API on http://localhost:8080/
Edit the docker_env file to set your credentials
Build the images if you want (else it will use the one pushed on hub.docker.com/):
docker-compose up
Run the service:
docker-compose up
Some debuging tools are available in the misc/cli_utils.py file.
To run them you need pip install -r requirements_dev.txt.
Then you can run any function in the file like:
python misc/cli_utils.py get_all_netex
(don't forget to provide the environement variables).
The functions available are:
get_all_netex: print all the datasets with their netex community resourcesdelete_all_netex: delete the netex files created by transport.data.gouv.fr as community resource.get_netex_duplicates: print all the datasets that have duplicated netex files (with same names)delete_old_netex_duplicates: delete the old netex duplicates (only keep the last one)您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。
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