feat(ci): update helm config (#157)
This commit is contained in:
133
helm/charts/opencoze/files/conf/model_template_ark.yaml
Executable file
133
helm/charts/opencoze/files/conf/model_template_ark.yaml
Executable file
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id: 2002
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name: Doubao Model
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icon_uri: default_icon/doubao_v2.png
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icon_url: ""
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description:
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zh: 豆包模型简介
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en: doubao model description
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default_parameters:
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- name: temperature
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label:
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zh: 生成随机性
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en: Temperature
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desc:
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zh: '- **temperature**: 调高温度会使得模型的输出更多样性和创新性,反之,降低温度会使输出内容更加遵循指令要求但减少多样性。建议不要与“Top p”同时调整。'
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en: '**Temperature**:\n\n- When you increase this value, the model outputs more diverse and innovative content; when you decrease it, the model outputs less diverse content that strictly follows the given instructions.\n- It is recommended not to adjust this value with \"Top p\" at the same time.'
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type: float
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min: "0"
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max: "1"
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default_val:
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balance: "0.8"
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creative: "1"
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default_val: "1.0"
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precise: "0.3"
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precision: 1
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options: []
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style:
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widget: slider
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label:
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zh: 生成多样性
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en: Generation diversity
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- name: max_tokens
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label:
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zh: 最大回复长度
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en: Response max length
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desc:
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zh: 控制模型输出的Tokens 长度上限。通常 100 Tokens 约等于 150 个中文汉字。
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en: You can specify the maximum length of the tokens output through this value. Typically, 100 tokens are approximately equal to 150 Chinese characters.
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type: int
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min: "1"
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max: "4096"
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default_val:
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default_val: "4096"
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options: []
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style:
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widget: slider
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label:
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zh: 输入及输出设置
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en: Input and output settings
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- name: top_p
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label:
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zh: Top P
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en: Top P
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desc:
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zh: '- **Top p 为累计概率**: 模型在生成输出时会从概率最高的词汇开始选择,直到这些词汇的总概率累积达到Top p 值。这样可以限制模型只选择这些高概率的词汇,从而控制输出内容的多样性。建议不要与“生成随机性”同时调整。'
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en: '**Top P**:\n\n- An alternative to sampling with temperature, where only tokens within the top p probability mass are considered. For example, 0.1 means only the top 10% probability mass tokens are considered.\n- We recommend altering this or temperature, but not both.'
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type: float
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min: "0"
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max: "1"
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default_val:
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default_val: "0.7"
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precision: 2
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options: []
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style:
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widget: slider
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label:
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zh: 生成多样性
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en: Generation diversity
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- name: response_format
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label:
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zh: 输出格式
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en: Response format
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desc:
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zh: '- **文本**: 使用普通文本格式回复\n- **Markdown**: 将引导模型使用Markdown格式输出回复\n- **JSON**: 将引导模型使用JSON格式输出'
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en: '**Response Format**:\n\n- **Text**: Replies in plain text format\n- **Markdown**: Uses Markdown format for replies\n- **JSON**: Uses JSON format for replies'
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type: int
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min: ""
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max: ""
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default_val:
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default_val: "0"
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options:
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- label: Text
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value: "0"
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- label: Markdown
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value: "1"
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- label: JSON
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value: "2"
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style:
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widget: radio_buttons
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label:
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zh: 输入及输出设置
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en: Input and output settings
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meta:
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name: Doubao
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protocol: ark
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capability:
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function_call: true
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input_modal:
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- text
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- image
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input_tokens: 128000
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json_mode: false
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max_tokens: 128000
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output_modal:
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- text
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output_tokens: 16384
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prefix_caching: false
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reasoning: false
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prefill_response: false
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conn_config:
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base_url: ""
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api_key: ""
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timeout: 0s
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model: ""
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temperature: 0.1
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frequency_penalty: 0
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presence_penalty: 0
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max_tokens: 4096
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top_p: 0.7
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top_k: 0
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stop: []
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openai: null
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claude: null
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ark:
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region: ""
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access_key: ""
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secret_key: ""
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retry_times: null
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custom_header: {}
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deepseek: null
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qwen: null
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gemini: null
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custom: {}
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status: 0
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@@ -1,74 +0,0 @@
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{
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"index_patterns": ["coze_resource*"],
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"template": {
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"settings": {
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"number_of_shards": 1,
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"number_of_replicas": 0,
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"analysis": {
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"analyzer": {
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"text_analyzer": {
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"type": "custom",
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"tokenizer": "standard",
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"filter": ["lowercase", "stop", "snowball"]
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},
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"smartcn": {
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"type": "smartcn"
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}
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}
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}
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},
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"mappings": {
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"dynamic": false,
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"properties": {
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"res_type": {
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"type": "keyword"
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},
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"app_id": {
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"type": "keyword",
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"null_value": "NULL"
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},
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"res_id": {
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"type": "keyword"
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},
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"res_sub_type": {
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"type": "keyword"
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},
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"name": {
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"type": "text",
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"analyzer": "smartcn",
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"search_analyzer": "smartcn",
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"fields": {
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"raw": {
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"type": "keyword"
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}
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}
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},
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"owner_id": {
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"type": "keyword"
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},
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"space_id": {
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"type": "keyword"
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},
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"biz_status": {
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"type": "keyword"
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},
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"publish_status": {
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"type": "keyword"
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},
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"create_time": {
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"type": "long"
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},
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"update_time": {
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"type": "long"
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},
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"publish_time": {
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"type": "long"
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}
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}
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}
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},
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"priority": 200,
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"_meta": {
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"description": "resource library's index template"
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}
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}
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@@ -1,79 +0,0 @@
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{
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"index_patterns": ["project_draft*"],
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"template": {
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"settings": {
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"number_of_shards": 1,
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"number_of_replicas": 0,
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"analysis": {
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"analyzer": {
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"text_analyzer": {
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"type": "custom",
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"tokenizer": "standard",
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"filter": ["lowercase", "stop", "snowball"]
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},
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"smartcn": {
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"type": "smartcn"
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}
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}
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}
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},
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"mappings": {
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"dynamic": false,
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"properties": {
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"create_time": {
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"type": "long"
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},
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"has_published": {
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"type": "keyword"
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},
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"id": {
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"type": "keyword"
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},
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"name": {
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"type": "text",
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"analyzer": "smartcn",
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"search_analyzer": "smartcn",
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"fields": {
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"raw": {
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"type": "keyword"
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}
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}
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},
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"owner_id": {
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"type": "keyword"
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},
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"publish_time": {
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"type": "long"
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},
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"space_id": {
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"type": "keyword"
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},
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"status": {
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"type": "keyword"
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},
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"type": {
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"type": "keyword"
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},
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"update_time": {
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"type": "long"
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},
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"fav_time": {
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"type": "long"
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},
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"recently_open_time": {
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"type": "long"
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},
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"is_fav": {
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"type": "keyword"
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},
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"is_recently_open": {
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"type": "keyword"
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}
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}
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}
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},
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"priority": 200,
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"_meta": {
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"description": "Project draft index template"
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}
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}
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