mirror of
https://github.com/labring/FastGPT.git
synced 2026-05-08 01:08:43 +08:00
7506a147e6
* batch node (#6732) * batch node * docs: add local code quality standards and style guides for automated review * refactor: remove enforced minimum for parallel concurrency, simplify edge handling in task runtime context, and fix loop output mapping * feat: auto-infer and sync valueType for parallel loop input and output based on referenced array source * fix: refactor parallelRun output type synchronization and improve sub-workflow error handling in dispatch service * feat: enforce parallel concurrency limits and validate against workflow loop constraints * feat: implement retry mechanism for parallel workflow tasks with usage tracking per attempt * fix review * perf: use function * refactor: abstract nested node logic into useNestedNode hook and update parallelRun icon/service logic * fix: type import * refactor: update ParallelRunStatusEnum and i18n labels for improved status clarity * feat: parallel run details and input/output display to chat response modal and service dispatch * fix: config limit error * refactor: optimize parallel run task execution, fix point accumulation, and improve error handling for sub-workflows * fix: include totalPoints in parallel task results * refactor: centralize nested input injection and point safety utilities for workflow dispatchers * test: add unit tests for safePoints utility function * refactor: update parallel workflow runtime types and clean up docstring placement in dispatch utils * fix: include all runtime nodes in parallel execution to ensure variable reference accessibility * refactor: update pushSubWorkflowUsage signature to use object parameter for improved consistency --------- Co-authored-by: DigHuang <114602213+DigHuang@users.noreply.github.com> * feat(s3): add proxy transfer mode with tokenized upload/download (#6729) * feat(s3): add proxy transfer mode with tokenized upload/download * wip: switch to proxy mode for upload progress * fix: office mime types * fix(s3): upload MIME validation, multer whitelist, API error status - Treat AVI/MPEG mime aliases (incl. video/mp1s vs video/mpeg) as matching - Optional allowedExtensions on multer for dataset images and localFile - Map S3/business errors to 4xx in jsonRes where appropriate - Align presign max size with team plan; fix dataset import size UX - Add upload validation tests Made-with: Cursor * fix: show clear message when upload frequency limit is exceeded - Reject ERROR_ENUM.uploadFileIntervalLimit from authFrequencyLimit instead of Mongo doc - Add i18n for upload_file_interval_limit (zh-CN/en/zh-Hant) Made-with: Cursor * fix file token validation and upload mime checks * fix: test * fix(s3): treat m4a audio/mp4 and audio/x-m4a as equivalent - Add MIME equivalence group for AAC/M4A container mismatch (mime-types vs file-type) - Add upload validation test for minimal ftyp/M4A buffer - Test env: keep FILE_TOKEN_KEY in vitest test.env and test/setup.ts (drop loadTestEnv file) Made-with: Cursor * fix(chat): 调试区文件类型与编辑态一致,并修复 accept 在 WebKit 下不更新 - ChatTest: 用 getAppChatConfig + getGuideModule 合并画布引导节点与 chatConfig - useChatTest: 依赖 fileSelectConfig 序列化与 chatConfig,避免深层变更未触发预览更新 - useSelectFile: 用 useCallback + input key 替代 useMemoizedFn,确保 accept 变更后重建 input Made-with: Cursor * fix: invalid request * feat: prompt inject (#6757) * feat: resume chat stream (#6722) * fix: openapi schema issue while creating openapi json * feat: resume chat stream * wip: chat status and read status * feat: sync chat side bar status * fix: allow reassignment of variables in chatTest handler Made-with: Cursor * feat(chat): stream resume hardening, resume modules in @fastgpt/service, stale generating cron - Move stream resume mirror + resumeStatus into packages/service; update API imports - chatTest: ensurePendingChatRoundItems, default responseChatItemId; zod default import for client - useChatTest + HomeChatWindow: enableAutoResume and sync init chatGenerateStatus - ChatContext: safe no-op defaults without provider - Cron: clean MongoChat stuck in generating >30min; timer lock cleanStaleGeneratingChat Made-with: Cursor * fix(chat): address stream-resume PR review (zod/mongoose enum, legacy status, upsert, UI race) - Zod: use z.nativeEnum(ChatGenerateStatusEnum); mongoose chatGenerateStatus enum as [0,1,2] only - Init APIs: default missing chatGenerateStatus to done before read/unread logic - ensurePendingChatRoundItems: unique index + upsert; rename ChatGenerateStatusEnum - ChatBox auto-resume: guard by chatId; sidebar sync via targetChatId - Tests: chat history/feedback APIs pass with schema fixes Made-with: Cursor * fix(chat): expose resume at /api/v2/chat/resume; openapi + review tidy - Move handler from v1/stream to v2/chat/resume (pairs with v2 completions + Redis mirror) - Update fetch, OpenAPI AIPath, comments; remove slim projects/app global chat api - getHistoryStatus default chatGenerateStatus; team init + chatTest notes; ChatItem tweak Made-with: Cursor * fix(chat): fix resume JSON parse catch shadowing; drop unused resumeChatStream Made-with: Cursor * docs(chat): comment closed+stream mirror write path in workflow dispatch Made-with: Cursor * refactor: unify resumable stream mirroring * fix: keep v1 chat completions out of resume flow * refactor: make prepared chat rounds transactional * fix: handle resume stream terminal errors * fix: rerank max token * feat(workflow): extend variable update node with Number/Boolean/Array operations (#6752) * feat(workflow): extend variable update node with Number/Boolean/Array ops * feat: math operator icons and refactor variable update renderers for improved layout and consistency * chore(workflow): clean up variable update types and restore icon cleanup * feat: add test * fix:md_ascii_bug (#6755) * md_ascii_bug * md_ascii_bug * md_ascii_bug * md_ascii_bug * md_ascii_bug * perf: test --------- Co-authored-by: archer <545436317@qq.com> * doc * del dataset * perf: date auto coerce * doc * add test * perf: channel setting * doc * fix: chat resume stream (#6759) * refactor(api): move stream resume to /api/core/chat/resume Relocate resume handler from pages/api/v2 to pages/api/core, update OpenAPI paths, frontend streamResumeFetch URL, tests, and comments. Made-with: Cursor * fix: remove stray conflict markers; use z.nativeEnum for chatGenerateStatus Made-with: Cursor * fix: use enum instead of nativeEnum * fix(chat): address resume review suggestions * fix(chat): require sse when resuming generating chats * revert(chat): keep chatitem dataId index non-unique * fix: ts * fix doc * fix(chat): gate stream resume mirror by header (#6760) * fix: remove stray conflict markers; use z.nativeEnum for chatGenerateStatus Made-with: Cursor * fix: use enum instead of nativeEnum * fix(chat): address resume review suggestions * fix(chat): require sse when resuming generating chats * feat(chat): gate stream resume mirror by header * refactor(chat): decouple resume mirror header parsing * perf: dataset queue * fix: multipleselect * perf: workflow bug * doc * doc * perf: deploy yml;fix: child nodes watch * adapt embedding model defaultconfig * install shell * add mcp zod check * feat: http tool zod schema * Feat/batch UI (#6763) * feat: aggregate parallel run results into task-specific virtual nodes and update UI to support i18n arguments for module names * style: update workflow node card padding and table styling for improved layout consistency * feat: implement parallel run workflow node with documentation and i18n support * style(modal): WholeResponseModal UI and layout styling * chore: improve chat resume UX (#6764) * fix: remove stray conflict markers; use z.nativeEnum for chatGenerateStatus Made-with: Cursor * fix: use enum instead of nativeEnum * fix(chat): address resume review suggestions * fix(chat): require sse when resuming generating chats * feat(chat): gate stream resume mirror by header * refactor(chat): decouple resume mirror header parsing * feat: improve stream resume fallback * feat: block duplicate chat generation * feat: polish resume unavailable recovery * test: stabilize resume stream timeout * fix: harden resume wait flow * fix: get mcp tool raw schema * style: update UI styling and layout for LLM request detail and response modals * perf: http tool * fix: test * fix: http raw schema * fix: test * deploy yml * deploy yml --------- Co-authored-by: DigHuang <114602213+DigHuang@users.noreply.github.com> Co-authored-by: Ryo <whoeverimf5@gmail.com> Co-authored-by: YeYuheng <57035043+YYH211@users.noreply.github.com>
385 lines
12 KiB
Bash
385 lines
12 KiB
Bash
#!/usr/bin/env bash
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# ========== Radio 选择器 ==========
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# 使用方向键 ↑↓ 选择,回车确认
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radio_select() {
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local title="$1"
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shift
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local options=("$@")
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local selected=0
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local count=${#options[@]}
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echo ""
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echo "$title"
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# 绘制选项
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for i in "${!options[@]}"; do
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if [ $i -eq $selected ]; then
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printf " \033[36m●\033[0m %s\n" "${options[$i]}"
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else
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printf " ○ %s\n" "${options[$i]}"
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fi
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done
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# 隐藏光标
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tput civis 2>/dev/null
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while true; do
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read -rsn1 key
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case "$key" in
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$'\x1b')
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read -rsn2 arrow
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case "$arrow" in
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'[A') ((selected > 0)) && ((selected--)) ;;
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'[B') ((selected < count - 1)) && ((selected++)) ;;
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esac
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;;
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'') break ;;
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esac
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# 光标上移并重绘
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printf "\033[%dA" "$count"
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for i in "${!options[@]}"; do
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printf "\033[K"
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if [ $i -eq $selected ]; then
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printf " \033[36m●\033[0m %s\n" "${options[$i]}"
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else
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printf " ○ %s\n" "${options[$i]}"
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fi
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done
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done
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# 恢复光标
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tput cnorm 2>/dev/null
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RADIO_RESULT=$selected
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}
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# 确保退出时恢复光标
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trap 'tput cnorm 2>/dev/null; exit' INT TERM
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# ========== 1. 选择镜像源 ==========
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radio_select "请选择镜像源 (↑↓ 选择, 回车确认):" "阿里云 (中国大陆)" "GitHub (全球)"
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case $RADIO_RESULT in
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1) REGION="global" ;;
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*) REGION="cn" ;;
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esac
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# ========== 2. 选择向量数据库 ==========
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radio_select "请选择向量数据库 (↑↓ 选择, 回车确认):" "PostgreSQL + pgvector" "Milvus" "Zilliz" "OceanBase" "SeekDB"
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case $RADIO_RESULT in
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1) VECTOR="milvus" ;;
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2) VECTOR="zilliz" ;;
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3) VECTOR="oceanbase" ;;
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4) VECTOR="seekdb" ;;
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*) VECTOR="pg" ;;
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esac
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# ========== 3. 检测可用 IP ==========
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IP_LIST=()
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PRIMARY_IP=""
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# 尝试获取主路由 IP (默认网关对应的 IP)
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if command -v ip &>/dev/null; then
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PRIMARY_IP=$(ip route get 1 2>/dev/null | awk '{for(i=1;i<=NF;i++) if($i=="src") print $(i+1)}')
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fi
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# 获取所有物理/主要网卡 IP,过滤掉本地回环、Docker桥接、虚拟网卡等
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if command -v ip &>/dev/null; then
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VALID_IPS=$(ip -4 -o addr show | grep -vE ' lo|docker[0-9]+|br-[a-z0-9]+|veth' | awk '{split($4,a,"/"); print a[1]}')
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for ip in $VALID_IPS; do
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if [ "$ip" != "127.0.0.1" ]; then
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IP_LIST+=("$ip")
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fi
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done
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elif command -v ifconfig &>/dev/null; then
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for ip in $(ifconfig 2>/dev/null | grep -Eo 'inet (addr:)?([0-9]*\.){3}[0-9]*' | grep -Eo '([0-9]*\.){3}[0-9]*' | grep -v '127.0.0.1'); do
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IP_LIST+=("$ip")
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done
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fi
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# 去重并确保 PRIMARY_IP 排在第一位
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UNIQUE_IPS=()
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if [ -n "$PRIMARY_IP" ]; then
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UNIQUE_IPS+=("$PRIMARY_IP")
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fi
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for ip in "${IP_LIST[@]}"; do
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match=false
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for u_ip in "${UNIQUE_IPS[@]}"; do
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if [ "$u_ip" == "$ip" ]; then
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match=true
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break
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fi
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done
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if [ "$match" = false ]; then
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UNIQUE_IPS+=("$ip")
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fi
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done
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IP_LIST=("${UNIQUE_IPS[@]}")
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# 地址选择函数
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# 参数: $1=标题, $2=端口
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# 设置 SELECTED_ADDR 和 SELECTED_CUSTOM (true=手动输入, false=列表选择)
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select_address() {
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local title="$1"
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local port="$2"
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SELECTED_CUSTOM=false
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if [ ${#IP_LIST[@]} -gt 0 ]; then
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# 构建带完整地址的选项列表
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local opts=()
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for i in "${!IP_LIST[@]}"; do
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if [ $i -eq 0 ] && [ -n "$PRIMARY_IP" ] && [ "${IP_LIST[$i]}" == "$PRIMARY_IP" ]; then
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opts+=("http://${IP_LIST[$i]}:$port (推荐/主IP)")
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else
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opts+=("http://${IP_LIST[$i]}:$port")
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fi
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done
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opts+=("其他 (手动输入)")
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radio_select "$title" "${opts[@]}"
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if [ $RADIO_RESULT -eq ${#IP_LIST[@]} ]; then
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echo ""
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read -p "请输入完整地址 (如 http://domain:port): " SELECTED_ADDR
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SELECTED_CUSTOM=true
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else
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SELECTED_ADDR="${IP_LIST[$RADIO_RESULT]}"
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fi
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else
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echo ""
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echo "未检测到可用 IP 地址"
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read -p "请输入完整地址 (如 http://domain:port): " SELECTED_ADDR
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SELECTED_CUSTOM=true
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fi
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}
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# ========== 4. 选择 S3 访问地址 (端口 9000) ==========
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select_address "请选择 S3 访问地址 - 客户端和容器均需可访问 (↑↓ 选择, 回车确认, 通常默认第一个即可):" 9000
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S3_ADDR="$SELECTED_ADDR"
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S3_CUSTOM=$SELECTED_CUSTOM
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# ========== 5. 选择 SSE MCP 访问地址 (端口 3003) ==========
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select_address "请选择 SSE MCP 访问地址 - 客户端和容器均需可访问 (↑↓ 选择, 回车确认, 通常默认第一个即可):" 3003
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MCP_ADDR="$SELECTED_ADDR"
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MCP_CUSTOM=$SELECTED_CUSTOM
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# ========== 确认配置 ==========
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REGION_LABEL="阿里云 (中国大陆)"
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if [ "$REGION" == "global" ]; then
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REGION_LABEL="GitHub (全球)"
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fi
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# 构建显示地址
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if [ -n "$S3_ADDR" ]; then
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if $S3_CUSTOM; then
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S3_DISPLAY="$S3_ADDR"
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else
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S3_DISPLAY="http://$S3_ADDR:9000"
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fi
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else
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S3_DISPLAY="未设置"
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fi
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if [ -n "$MCP_ADDR" ]; then
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if $MCP_CUSTOM; then
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MCP_DISPLAY="$MCP_ADDR"
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else
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MCP_DISPLAY="http://$MCP_ADDR:3003"
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fi
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else
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MCP_DISPLAY="未设置"
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fi
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echo ""
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echo "=============================="
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echo " 镜像源: $REGION_LABEL"
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echo " 向量数据库: $VECTOR"
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echo " S3 地址: $S3_DISPLAY"
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echo " MCP 地址: $MCP_DISPLAY"
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echo "=============================="
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echo ""
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read -p "确认以上配置? (y/n) [y]: " confirm
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if [ "$confirm" == "n" ]; then
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echo "已取消"
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exit 1
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fi
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# ========== 下载文件 ==========
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echo ""
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echo "正在下载配置文件..."
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# 构建下载链接(处理 global 下 zilliz 文件名差异)
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VECTOR_FILE="$VECTOR"
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if [ "$REGION" == "global" ] && [ "$VECTOR" == "zilliz" ]; then
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VECTOR_FILE="zilliz"
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fi
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if [ "$REGION" == "cn" ]; then
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BASE_URL="https://doc.fastgpt.cn/deploy"
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YML_URL="${BASE_URL}/docker/cn/docker-compose.${VECTOR_FILE}.yml"
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else
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BASE_URL="https://doc.fastgpt.io/deploy"
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YML_URL="${BASE_URL}/docker/global/docker-compose.${VECTOR_FILE}.yml"
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fi
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CONFIG_URL="${BASE_URL}/config/config.json"
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# 下载 docker-compose YAML
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curl -fsSL -O "$YML_URL"
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if [ $? -ne 0 ]; then
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echo "错误: 下载 YAML 文件失败: $YML_URL"
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exit 1
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fi
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mv "docker-compose.${VECTOR_FILE}.yml" docker-compose.yml
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echo "已下载 docker-compose.yml"
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# 下载 config.json
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curl -fsSL -O "$CONFIG_URL"
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if [ $? -ne 0 ]; then
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echo "错误: 下载 config.json 失败: $CONFIG_URL"
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exit 1
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fi
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echo "已下载 config.json"
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# ========== 替换 S3 访问地址 ==========
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if [ -n "$S3_ADDR" ]; then
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if $S3_CUSTOM; then
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# 自定义输入:解析 scheme / host / port,整体替换模板中的完整地址
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S3_RAW="$S3_ADDR"
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if [[ "$S3_RAW" == https://* ]]; then
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S3_SCHEME="https"
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S3_RAW="${S3_RAW#https://}"
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elif [[ "$S3_RAW" == http://* ]]; then
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S3_SCHEME="http"
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S3_RAW="${S3_RAW#http://}"
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else
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S3_SCHEME="http"
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fi
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S3_RAW="${S3_RAW%%/*}"
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if [[ "$S3_RAW" == *:* ]]; then
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S3_HOST="${S3_RAW%%:*}"
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S3_PORT="${S3_RAW##*:}"
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else
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S3_HOST="$S3_RAW"
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S3_PORT="9000"
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fi
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S3_NEW="${S3_SCHEME}://${S3_HOST}:${S3_PORT}"
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else
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S3_PORT="9000"
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S3_NEW="http://${S3_ADDR}:9000"
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fi
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if [[ "$OSTYPE" == "darwin"* ]]; then
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sed -i '' "s|http://192\.168\.0\.2:9000|${S3_NEW}|g" docker-compose.yml
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else
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sed -i "s|http://192\.168\.0\.2:9000|${S3_NEW}|g" docker-compose.yml
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fi
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S3_ENDPOINT_RC=$?
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# minio 容器内部始终监听 9000,只改宿主端口映射
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if [ "$S3_PORT" != "9000" ]; then
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if [[ "$OSTYPE" == "darwin"* ]]; then
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sed -i '' "s|- 9000:9000|- ${S3_PORT}:9000|g" docker-compose.yml
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else
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sed -i "s|- 9000:9000|- ${S3_PORT}:9000|g" docker-compose.yml
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fi
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fi
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if [ $S3_ENDPOINT_RC -eq 0 ]; then
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echo "已更新 S3 访问地址为: $S3_NEW"
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else
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echo "警告: 替换 S3 地址失败,请手动编辑 docker-compose.yml 中的 http://192.168.0.2:9000"
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fi
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else
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echo "警告: 未设置 S3 地址,请手动编辑 docker-compose.yml 中的 http://192.168.0.2:9000"
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fi
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# ========== 替换 MCP 访问地址 ==========
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if [ -n "$MCP_ADDR" ]; then
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if $MCP_CUSTOM; then
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MCP_ENDPOINT="$MCP_ADDR"
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else
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MCP_ENDPOINT="http://$MCP_ADDR:3003"
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fi
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if [[ "$OSTYPE" == "darwin"* ]]; then
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sed -i '' "s|\"mcpServerProxyEndpoint\": \"\"|\"mcpServerProxyEndpoint\": \"$MCP_ENDPOINT\"|g" config.json
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else
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sed -i "s|\"mcpServerProxyEndpoint\": \"\"|\"mcpServerProxyEndpoint\": \"$MCP_ENDPOINT\"|g" config.json
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fi
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if [ $? -eq 0 ]; then
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echo "已更新 MCP 访问地址为: $MCP_ENDPOINT"
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else
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echo "警告: 替换 MCP 地址失败,请手动编辑 config.json 中的 mcpServerProxyEndpoint"
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fi
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else
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echo "警告: 未设置 MCP 地址,请手动编辑 config.json 中的 mcpServerProxyEndpoint"
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fi
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# ========== 检测并替换 docker.sock 路径 ==========
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# 某些发行版 / Docker Desktop / rootless 模式下,宿主机 docker.sock 不在 /var/run/docker.sock
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# 若路径错误,Docker 会把挂载目标在容器内创建为空目录,导致 volume-manager / opensandbox 无法调用 Docker API
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detect_docker_sock() {
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# 1. DOCKER_HOST 环境变量
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if [ -n "$DOCKER_HOST" ] && [[ "$DOCKER_HOST" == unix://* ]]; then
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|
local sock="${DOCKER_HOST#unix://}"
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|
[ -S "$sock" ] && { echo "$sock"; return 0; }
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|
fi
|
|
|
|
# 2. docker context 当前上下文
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|
if command -v docker &>/dev/null; then
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|
local ctx
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|
ctx=$(docker context inspect --format '{{ .Endpoints.docker.Host }}' 2>/dev/null)
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|
if [[ "$ctx" == unix://* ]]; then
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|
ctx="${ctx#unix://}"
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|
[ -S "$ctx" ] && { echo "$ctx"; return 0; }
|
|
fi
|
|
fi
|
|
|
|
# 3. 常见路径依次探测
|
|
local candidates=(
|
|
"/var/run/docker.sock"
|
|
"/run/docker.sock"
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|
"$HOME/.docker/run/docker.sock" # macOS Docker Desktop
|
|
"$HOME/.docker/desktop/docker.sock"
|
|
"/run/user/$(id -u 2>/dev/null)/docker.sock" # rootless
|
|
)
|
|
for p in "${candidates[@]}"; do
|
|
[ -S "$p" ] && { echo "$p"; return 0; }
|
|
done
|
|
|
|
return 1
|
|
}
|
|
|
|
HOST_SOCK=$(detect_docker_sock)
|
|
if [ -n "$HOST_SOCK" ]; then
|
|
if [ "$HOST_SOCK" != "/var/run/docker.sock" ]; then
|
|
# 只改宿主侧路径(冒号左边),容器内仍为 /var/run/docker.sock
|
|
ESCAPED_SOCK=$(printf '%s' "$HOST_SOCK" | sed -e 's/[\/&|]/\\&/g')
|
|
if [[ "$OSTYPE" == "darwin"* ]]; then
|
|
sed -i '' "s|- /var/run/docker.sock:/var/run/docker.sock|- ${ESCAPED_SOCK}:/var/run/docker.sock|g" docker-compose.yml
|
|
else
|
|
sed -i "s|- /var/run/docker.sock:/var/run/docker.sock|- ${ESCAPED_SOCK}:/var/run/docker.sock|g" docker-compose.yml
|
|
fi
|
|
echo "已检测到 Docker socket: $HOST_SOCK,已更新 docker-compose.yml 挂载路径"
|
|
else
|
|
echo "Docker socket 路径正常: /var/run/docker.sock"
|
|
fi
|
|
else
|
|
echo "警告: 未检测到 Docker socket。请确认 Docker 正在运行,"
|
|
echo " 并手动编辑 docker-compose.yml,将两处 '- /var/run/docker.sock:/var/run/docker.sock'"
|
|
echo " 左侧改成宿主机实际的 socket 路径。"
|
|
fi
|
|
|
|
# ========== 完成 ==========
|
|
echo ""
|
|
echo "配置下载成功! 后续操作:"
|
|
echo " 1. 预热沙盒: docker compose --profile prepull pull opensandbox-agent-sandbox-image opensandbox-execd-image opensandbox-egress-image"
|
|
echo " 2. 启动服务: docker compose up -d"
|
|
echo " 3. 开放端口: 3000, 9000, 3003"
|
|
echo " 4. 访问服务: http://localhost:3000"
|
|
echo " 5. 登录服务: 默认账号为 'root', 密码为: '1234'"
|
|
echo " 6. 配置模型: 在 '账号-模型提供商' 页面,进行模型配置"
|
|
echo ""
|
|
echo "详细文档: https://doc.fastgpt.cn/docs/self-host/deploy/docker"
|