feat(pipeline): implement Pipeline DSL system for automated workflows
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Add complete Pipeline DSL system including:
- Rust backend (zclaw-pipeline crate) with parser, executor, and state management
- Frontend components: PipelinesPanel, PipelineResultPreview, ClassroomPreviewer
- Pipeline recommender for Agent conversation integration
- 5 pipeline templates: education, marketing, legal, research, productivity
- Documentation for Pipeline DSL architecture
Pipeline DSL enables declarative workflow definitions with:
- YAML-based configuration
- Expression resolution (${inputs.topic}, ${steps.step1.output})
- LLM integration, parallel execution, file export
- Agent smart recommendations in conversations
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
iven
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pipelines/marketing/campaign.yaml
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292
pipelines/marketing/campaign.yaml
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# ZCLAW Pipeline - Marketing Campaign Generator
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# 营销方案生成器：输入产品信息，自动生成完整营销策略
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apiVersion: zclaw/v1
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kind: Pipeline
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metadata:
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name: marketing-campaign
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displayName: 营销方案生成器
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category: marketing
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description: 输入产品/服务信息，自动生成目标受众分析、渠道策略、内容计划和执行时间表
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tags:
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- 营销
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- 推广
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- 策略
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- 内容
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icon: 📢
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author: ZCLAW
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version: 1.0.0
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spec:
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# 输入参数定义
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inputs:
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- name: product_name
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type: string
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required: true
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label: 产品/服务名称
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placeholder: 例如：智能健康手环
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validation:
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min_length: 2
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max_length: 100
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- name: product_description
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type: text
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required: true
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label: 产品描述
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placeholder: 请简要描述您的产品/服务特点、核心价值和竞争优势
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- name: target_market
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type: string
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required: false
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label: 目标市场
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placeholder: 例如：一二线城市年轻白领
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- name: budget_level
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type: select
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required: false
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label: 预算级别
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default: 中等
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options:
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- 低预算
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- 中等
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- 高预算
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- name: campaign_goals
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type: multi-select
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required: false
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label: 营销目标
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default: [品牌曝光, 用户增长]
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options:
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- 品牌曝光
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- 用户增长
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- 销售转化
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- 用户留存
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- 口碑传播
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- name: export_formats
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type: multi-select
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required: false
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label: 导出格式
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default: [html, markdown]
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options:
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- html
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- markdown
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- json
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# 执行步骤
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steps:
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# Step 1: 分析产品和目标受众
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- id: analyze_product
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description: 分析产品特点和目标受众
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action:
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type: llm_generate
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template: |
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你是一位资深的营销策略专家。请分析以下产品/服务，并生成目标受众画像。
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产品/服务: {{product_name}}
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产品描述: {{product_description}}
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目标市场: {{target_market}}
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营销目标: {{campaign_goals}}
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请生成 JSON 格式的分析结果：
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{
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"product_analysis": {
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"core_value": "核心价值主张",
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"unique_selling_points": ["卖点1", "卖点2", "卖点3"],
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"competitive_advantages": ["优势1", "优势2"]
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},
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"target_audience": {
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"primary": {
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"demographics": "人口统计特征",
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"psychographics": "心理特征",
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"pain_points": ["痛点1", "痛点2"],
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"desires": ["需求1", "需求2"]
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},
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"secondary": {
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"demographics": "人口统计特征",
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"psychographics": "心理特征"
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}
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},
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"market_positioning": "市场定位建议"
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}
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input:
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product_name: ${inputs.product_name}
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product_description: ${inputs.product_description}
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target_market: ${inputs.target_market}
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campaign_goals: ${inputs.campaign_goals}
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json_mode: true
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temperature: 0.7
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max_tokens: 2500
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# Step 2: 生成渠道策略
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- id: generate_channel_strategy
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description: 根据预算和目标生成渠道策略
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action:
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type: llm_generate
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template: |
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基于以下信息，制定营销渠道策略：
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产品分析: ${steps.analyze_product.output.product_analysis}
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目标受众: ${steps.analyze_product.output.target_audience}
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预算级别: {{budget_level}}
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营销目标: {{campaign_goals}}
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请生成 JSON 格式的渠道策略：
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{
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"recommended_channels": [
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{
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"name": "渠道名称",
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"priority": "high|medium|low",
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"budget_allocation": "预算占比%",
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"rationale": "选择理由",
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"tactics": ["具体策略1", "具体策略2"]
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}
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],
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"channel_mix_strategy": "渠道组合策略说明",
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"measurement_metrics": ["指标1", "指标2", "指标3"]
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}
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input:
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product_analysis: ${steps.analyze_product.output.product_analysis}
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target_audience: ${steps.analyze_product.output.target_audience}
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budget_level: ${inputs.budget_level}
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campaign_goals: ${inputs.campaign_goals}
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json_mode: true
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temperature: 0.8
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max_tokens: 2000
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# Step 3: 生成内容计划
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- id: generate_content_plan
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description: 生成内容营销计划
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action:
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type: llm_generate
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template: |
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为以下营销活动制定内容计划：
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产品: ${inputs.product_name}
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目标受众: ${steps.analyze_product.output.target_audience.primary}
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渠道策略: ${steps.generate_channel_strategy.output.recommended_channels}
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营销目标: {{campaign_goals}}
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请生成 JSON 格式的内容计划：
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{
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"content_pillars": [
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{
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"theme": "内容主题",
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"description": "主题描述",
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"content_types": ["内容类型1", "内容类型2"]
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}
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],
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"content_calendar": [
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{
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"week": 1,
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"content_pieces": [
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{
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"type": "内容类型",
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"channel": "发布渠道",
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"topic": "内容主题",
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"call_to_action": "行动号召"
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}
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]
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}
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],
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"key_messages": ["核心信息1", "核心信息2", "核心信息3"],
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"hashtag_strategy": ["话题标签1", "话题标签2"]
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}
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input:
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product_name: ${inputs.product_name}
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target_audience: ${steps.analyze_product.output.target_audience}
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channel_strategy: ${steps.generate_channel_strategy.output}
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campaign_goals: ${inputs.campaign_goals}
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json_mode: true
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temperature: 0.75
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max_tokens: 2500
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# Step 4: 生成执行时间表
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- id: generate_timeline
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description: 生成营销活动执行时间表
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action:
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type: llm_generate
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template: |
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为以下营销活动制定4周执行时间表：
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产品: ${inputs.product_name}
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渠道策略: ${steps.generate_channel_strategy.output}
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内容计划: ${steps.generate_content_plan.output}
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请生成 JSON 格式的执行时间表：
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{
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"phases": [
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{
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"name": "阶段名称",
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"duration": "持续时间",
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"objectives": ["目标1", "目标2"],
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"key_activities": ["活动1", "活动2"],
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"milestones": ["里程碑1", "里程碑2"]
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}
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],
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"weekly_schedule": [
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{
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"week": 1,
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"focus": "本周重点",
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"tasks": ["任务1", "任务2", "任务3"],
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"deliverables": ["产出物1", "产出物2"]
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}
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],
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"kpis": {
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"awareness": ["KPI1", "KPI2"],
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"engagement": ["KPI1", "KPI2"],
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"conversion": ["KPI1", "KPI2"]
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}
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}
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input:
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product_name: ${inputs.product_name}
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channel_strategy: ${steps.generate_channel_strategy.output}
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content_plan: ${steps.generate_content_plan.output}
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json_mode: true
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temperature: 0.7
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max_tokens: 2000
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# Step 5: 组装营销方案
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- id: assemble_campaign
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description: 组装完整营销方案
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action:
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type: set_var
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name: campaign_data
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value: |
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{
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"title": "${inputs.product_name} 营销方案",
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"product_name": "${inputs.product_name}",
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"product_analysis": ${steps.analyze_product.output.product_analysis},
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"target_audience": ${steps.analyze_product.output.target_audience},
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"channel_strategy": ${steps.generate_channel_strategy.output},
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"content_plan": ${steps.generate_content_plan.output},
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"timeline": ${steps.generate_timeline.output},
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"created_at": "${chrono::Utc::now().to_rfc3339()}"
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}
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# Step 6: 导出文件
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- id: export_files
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description: 导出营销方案文件
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action:
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type: file_export
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formats: ${inputs.export_formats}
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input: ${vars.campaign_data}
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# 输出映射
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outputs:
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campaign_title: ${vars.campaign_data.title}
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product_analysis: ${vars.campaign_data.product_analysis}
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target_audience: ${vars.campaign_data.target_audience}
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channel_strategy: ${vars.campaign_data.channel_strategy}
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content_plan: ${vars.campaign_data.content_plan}
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timeline: ${vars.campaign_data.timeline}
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export_files: ${steps.export_files.output}
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# 错误处理
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on_error: stop
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# 超时设置
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timeout_secs: 300
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# 并行工作线程上限
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max_workers: 4
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