BizyAir FaaS automated deployment tool
Project description
安装
1. 安装(二选一)
# 公有仓库
pip install git+https://<TOKEN>@github.com/siliconflow/BizyDeploy.git
# 私有仓库
pip install git+ssh://git@github.com/siliconflow/BizyDeploy.git
使用
export SF_FAAS_TOKEN=xxxxx
场景1: 仅更新faas云函数部署
bizy-deploy \
pipeline=cgr_uat \
service.sf_faas_token="$SF_FAAS_TOKEN" \
++env.function_id=fnjfvlqpdt \
++env.deployment_id=fdqd9p8te5 \
++func_def.spec.comment="upgrade"
场景2: 仅更新镜像版本 (最常用)
下面镜像对应云函数地址: https://cloud.siliconflow.cn/sft-d1s6t1r3jrms73f3ltpg/dedicated/functions/fnjfvlqpdt?tab=definition
命令行中的 ++func_def.spec.data 对应控制台“函数定义”中的 YAML 结构
bizy-deploy \
debug=false \
pipeline=cgr_prod \
service.sf_faas_token="$SF_FAAS_TOKEN" \
++env.function_id=fnjfvlqpdt \
++env.deployment_id=fdqd9p8te5 \
++func_def.spec.comment="update image to v20251222" \
++func_def.spec.data.cgrService.image="hub.6scloud.com/xxx/comfygridruntime:v20251222"
场景: 云函数模版相关操作
获取 {org_id}/{template_id} 对应云函数模版
bizy-deploy \
pipeline=faas_api_op \
debug=true \
++pipeline.0.action='get_template' \
++pipeline.0.params.org_id=d1s6t1r3jrms73f3ltpg \
++pipeline.0.params.template_id=bizydraft-backend \
service.sf_faas_token="$SF_FAAS_TOKEN"
场景4: 从源云函数上获取配置,修改指定参数后上传到目标云函数,并部署等待就绪
bizy-deploy \
pipeline=cgr_uat \
++pipeline.0.params.function_id=fna5m4t5ky \
++env.function_id=fn1tioyopg \
++env.deployment_id=fdg8skissk \
++func_def.spec.data.comfyagentService.nodeRegisterConfigUrl="https://storage.bizyair.cn/config/comfyagent_node_config_chenchaonan.json" \
++func_def.spec.data.comfyuiService.image="hub.6scloud.com/d1s6t1r3jrms73f3ltpg/comfyui-gpu-torch2dot5:v202512241113-feature-add-plugins-default-a8dc7ab" \
service.sf_faas_token="$SF_FAAS_TOKEN"
场景5: 得到一个函数的最新定义,创建一个新的定义,修改部署的参数后部署并等待就绪
bizy-deploy \
pipeline=faas_api_op \
++pipeline.0.action='get_latest_function_definition' \
++pipeline.0.params.function_id=fn1tioyopg \
++pipeline.0.save_result_as='latest_func_def' \
++pipeline.1.action='create_function_definition' \
++pipeline.1.params.function_id=fn1tioyopg \
++pipeline.1.params.merged_def='${pipe.ctx:latest_func_def}' \
++pipeline.1.save_result_as="new_version" \
++pipeline.2.action='deploy' \
++pipeline.2.params.version='${pipe.ctx:new_version}' \
++pipeline.2.params.overrides.spec.siliconServices.0.minReplicas=2 \
++pipeline.2.params.overrides.spec.siliconServices.0.maxReplicas=5 \
++pipeline.2.params.function_id=fn1tioyopg \
++pipeline.2.params.deployment_id="fdg8skissk" \
++pipeline.3.action='wait_ready' \
++pipeline.3.params.function_id=fn1tioyopg \
++pipeline.3.params.deployment_id=fdg8skissk \
service.sf_faas_token="$SF_FAAS_TOKEN"
```python
python scripts/save_template.py -tpl d1s6t1r3jrms73f3ltpg/bizydraft-backend
Output
✔ Template saved: d1s6t1r3jrms73f3ltpg/bizydraft-backend ->
outputs/d1s6t1r3jrms73f3ltpg---bizydraft-backend.yaml
更新模版
bizy-deploy \
pipeline=faas_api_op \
++pipeline.0.action='update_template' \
++pipeline.0.params.name=<template_id> \
++pipeline.0.params.data.files=<TemplateYamlPath> \
service.sf_faas_token="<SF_FAAS_TOKEN>"
前端更新完成后清理缓存
# 通过环境变量设置使用
export BIZYAIR_TOKEN=sk-xxx # 设置bizyair的token,必须
export SILICONFLOW_FASS_DEPLOY_DOMAIN=foo.bar:8192 # 设置内网域名,必须
export BIZYAIR_GROUP_ID=123 # 设置id( https://console.bizyair.cn/comfy-draft/exclusive-instances 的实例组id),必须
./scripts/ready_instance.sh
# 通过位置参数使用
./scripts/ready_instance.sh sk-xxx foo.bar:8192 123 # 带参使用脚本,传参顺序:token,内网域名,id
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