mirror of https://github.com/langgenius/dify.git
Merge branch 'main' into feat/workflow
# Conflicts: # api/.env.example # docker/docker-compose.yaml
This commit is contained in:
commit
5e201324d6
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@ -137,6 +137,7 @@ SSRF_PROXY_HTTP_URL=
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SSRF_PROXY_HTTPS_URL=
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BATCH_UPLOAD_LIMIT=10
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KEYWORD_DATA_SOURCE_TYPE=database
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# CODE EXECUTION CONFIGURATION
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CODE_EXECUTION_ENDPOINT=http://127.0.0.1:8194
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@ -67,6 +67,7 @@ DEFAULTS = {
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'CODE_EXECUTION_ENDPOINT': '',
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'CODE_EXECUTION_API_KEY': '',
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'TOOL_ICON_CACHE_MAX_AGE': 3600,
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'KEYWORD_DATA_SOURCE_TYPE': 'database',
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}
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@ -97,7 +98,7 @@ class Config:
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# ------------------------
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# General Configurations.
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# ------------------------
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self.CURRENT_VERSION = "0.5.11"
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self.CURRENT_VERSION = "0.5.11-fix1"
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self.COMMIT_SHA = get_env('COMMIT_SHA')
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self.EDITION = "SELF_HOSTED"
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self.DEPLOY_ENV = get_env('DEPLOY_ENV')
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@ -316,6 +317,7 @@ class Config:
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self.API_COMPRESSION_ENABLED = get_bool_env('API_COMPRESSION_ENABLED')
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self.TOOL_ICON_CACHE_MAX_AGE = get_env('TOOL_ICON_CACHE_MAX_AGE')
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self.KEYWORD_DATA_SOURCE_TYPE = get_env('KEYWORD_DATA_SOURCE_TYPE')
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class CloudEditionConfig(Config):
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@ -2,6 +2,7 @@ import json
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from collections import defaultdict
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from typing import Any, Optional
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from flask import current_app
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from pydantic import BaseModel
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from core.rag.datasource.keyword.jieba.jieba_keyword_table_handler import JiebaKeywordTableHandler
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@ -9,6 +10,7 @@ from core.rag.datasource.keyword.keyword_base import BaseKeyword
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from core.rag.models.document import Document
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from extensions.ext_database import db
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from extensions.ext_redis import redis_client
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from extensions.ext_storage import storage
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from models.dataset import Dataset, DatasetKeywordTable, DocumentSegment
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@ -108,6 +110,9 @@ class Jieba(BaseKeyword):
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if dataset_keyword_table:
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db.session.delete(dataset_keyword_table)
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db.session.commit()
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if dataset_keyword_table.data_source_type != 'database':
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file_key = 'keyword_files/' + self.dataset.tenant_id + '/' + self.dataset.id + '.txt'
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storage.delete(file_key)
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def _save_dataset_keyword_table(self, keyword_table):
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keyword_table_dict = {
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@ -118,20 +123,34 @@ class Jieba(BaseKeyword):
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"table": keyword_table
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}
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}
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self.dataset.dataset_keyword_table.keyword_table = json.dumps(keyword_table_dict, cls=SetEncoder)
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db.session.commit()
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dataset_keyword_table = self.dataset.dataset_keyword_table
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keyword_data_source_type = dataset_keyword_table.data_source_type
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if keyword_data_source_type == 'database':
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dataset_keyword_table.keyword_table = json.dumps(keyword_table_dict, cls=SetEncoder)
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db.session.commit()
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else:
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file_key = 'keyword_files/' + self.dataset.tenant_id + '/' + self.dataset.id + '.txt'
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if storage.exists(file_key):
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storage.delete(file_key)
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storage.save(file_key, json.dumps(keyword_table_dict, cls=SetEncoder).encode('utf-8'))
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def _get_dataset_keyword_table(self) -> Optional[dict]:
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lock_name = 'keyword_indexing_lock_{}'.format(self.dataset.id)
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with redis_client.lock(lock_name, timeout=20):
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dataset_keyword_table = self.dataset.dataset_keyword_table
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if dataset_keyword_table:
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if dataset_keyword_table.keyword_table_dict:
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return dataset_keyword_table.keyword_table_dict['__data__']['table']
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keyword_table_dict = dataset_keyword_table.keyword_table_dict
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if keyword_table_dict:
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return keyword_table_dict['__data__']['table']
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else:
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keyword_data_source_type = current_app.config['KEYWORD_DATA_SOURCE_TYPE']
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dataset_keyword_table = DatasetKeywordTable(
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dataset_id=self.dataset.id,
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keyword_table=json.dumps({
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keyword_table='',
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data_source_type=keyword_data_source_type,
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)
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if keyword_data_source_type == 'database':
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dataset_keyword_table.keyword_table = json.dumps({
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'__type__': 'keyword_table',
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'__data__': {
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"index_id": self.dataset.id,
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@ -139,7 +158,6 @@ class Jieba(BaseKeyword):
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"table": {}
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}
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}, cls=SetEncoder)
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)
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db.session.add(dataset_keyword_table)
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db.session.commit()
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@ -25,3 +25,4 @@
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- wecom
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- qrcode
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- dingtalk
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- feishu
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@ -0,0 +1 @@
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<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1711946937387" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="5208" xmlns:xlink="http://www.w3.org/1999/xlink" width="200" height="200"><path d="M262.339048 243.809524h326.070857s91.672381 84.504381 91.672381 200.655238l-152.81981 105.569524S445.781333 359.960381 262.339048 243.809524z" fill="#00DAB8" p-id="5209"></path><path d="M853.333333 423.350857s-112.103619-42.276571-183.393523-10.581333c-71.338667 31.695238-101.912381 73.923048-132.486096 105.618286-40.71619 42.22781-112.054857 116.150857-173.202285 73.923047-61.147429-42.276571 244.540952 147.846095 244.540952 147.846095s127.463619-71.631238 173.202286-190.122666C822.759619 444.464762 853.333333 423.350857 853.333333 423.350857z" fill="#0C3AA0" p-id="5210"></path><path d="M170.666667 402.236952v316.757334s112.298667 138.142476 376.978285 63.390476c112.103619-31.695238 203.824762-179.541333 203.824762-179.541333S618.934857 824.612571 170.666667 402.285714z" fill="#296DFF" p-id="5211"></path></svg>
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After Width: | Height: | Size: 1.1 KiB |
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@ -0,0 +1,8 @@
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from core.tools.provider.builtin.feishu.tools.feishu_group_bot import FeishuGroupBotTool
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from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
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class FeishuProvider(BuiltinToolProviderController):
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def _validate_credentials(self, credentials: dict) -> None:
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FeishuGroupBotTool()
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pass
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@ -0,0 +1,13 @@
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identity:
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author: Arkii Sun
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name: feishu
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label:
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en_US: Feishu
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zh_Hans: 飞书
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pt_BR: Feishu
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description:
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en_US: Feishu group bot
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zh_Hans: 飞书群机器人
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pt_BR: Feishu group bot
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icon: icon.svg
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credentials_for_provider:
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@ -0,0 +1,50 @@
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from typing import Any, Union
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import httpx
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from core.tools.entities.tool_entities import ToolInvokeMessage
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from core.tools.tool.builtin_tool import BuiltinTool
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from core.tools.utils.uuid_utils import is_valid_uuid
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class FeishuGroupBotTool(BuiltinTool):
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def _invoke(self, user_id: str, tool_parameters: dict[str, Any]
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) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
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"""
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invoke tools
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API document: https://open.feishu.cn/document/client-docs/bot-v3/add-custom-bot
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"""
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url = "https://open.feishu.cn/open-apis/bot/v2/hook"
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content = tool_parameters.get('content', '')
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if not content:
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return self.create_text_message('Invalid parameter content')
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hook_key = tool_parameters.get('hook_key', '')
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if not is_valid_uuid(hook_key):
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return self.create_text_message(
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f'Invalid parameter hook_key ${hook_key}, not a valid UUID')
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msg_type = 'text'
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api_url = f'{url}/{hook_key}'
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headers = {
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'Content-Type': 'application/json',
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}
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params = {}
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payload = {
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"msg_type": msg_type,
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"content": {
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"text": content,
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}
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}
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try:
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res = httpx.post(api_url, headers=headers, params=params, json=payload)
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if res.is_success:
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return self.create_text_message("Text message sent successfully")
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else:
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return self.create_text_message(
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f"Failed to send the text message, status code: {res.status_code}, response: {res.text}")
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except Exception as e:
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return self.create_text_message("Failed to send message to group chat bot. {}".format(e))
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@ -0,0 +1,40 @@
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identity:
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name: feishu_group_bot
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author: Arkii Sun
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label:
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en_US: Send Group Message
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zh_Hans: 发送群消息
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pt_BR: Send Group Message
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icon: icon.png
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description:
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human:
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en_US: Sending a group message on Feishu via the webhook of group bot
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zh_Hans: 通过飞书的群机器人webhook发送群消息
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pt_BR: Sending a group message on Feishu via the webhook of group bot
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llm: A tool for sending messages to a chat group on Feishu(飞书) .
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parameters:
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- name: hook_key
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type: secret-input
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required: true
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label:
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en_US: Feishu Group bot webhook key
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zh_Hans: 群机器人webhook的key
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pt_BR: Feishu Group bot webhook key
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human_description:
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en_US: Feishu Group bot webhook key
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zh_Hans: 群机器人webhook的key
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pt_BR: Feishu Group bot webhook key
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form: form
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- name: content
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type: string
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required: true
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label:
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en_US: content
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zh_Hans: 消息内容
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pt_BR: content
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human_description:
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en_US: Content to sent to the group.
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zh_Hans: 群消息文本
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pt_BR: Content to sent to the group.
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llm_description: Content of the message
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form: llm
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@ -172,6 +172,20 @@ class Storage:
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return os.path.exists(filename)
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def delete(self, filename):
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if self.storage_type == 's3':
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self.client.delete_object(Bucket=self.bucket_name, Key=filename)
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elif self.storage_type == 'azure-blob':
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blob_container = self.client.get_container_client(container=self.bucket_name)
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blob_container.delete_blob(filename)
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else:
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if not self.folder or self.folder.endswith('/'):
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filename = self.folder + filename
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else:
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filename = self.folder + '/' + filename
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if os.path.exists(filename):
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os.remove(filename)
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storage = Storage()
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@ -0,0 +1,33 @@
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"""add-keyworg-table-storage-type
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Revision ID: 17b5ab037c40
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Revises: a8f9b3c45e4a
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Create Date: 2024-04-01 09:48:54.232201
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"""
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import sqlalchemy as sa
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from alembic import op
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# revision identifiers, used by Alembic.
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revision = '17b5ab037c40'
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down_revision = 'a8f9b3c45e4a'
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branch_labels = None
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depends_on = None
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def upgrade():
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# ### commands auto generated by Alembic - please adjust! ###
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with op.batch_alter_table('dataset_keyword_tables', schema=None) as batch_op:
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batch_op.add_column(sa.Column('data_source_type', sa.String(length=255), server_default=sa.text("'database'::character varying"), nullable=False))
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# ### end Alembic commands ###
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def downgrade():
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# ### commands auto generated by Alembic - please adjust! ###
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with op.batch_alter_table('dataset_keyword_tables', schema=None) as batch_op:
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batch_op.drop_column('data_source_type')
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# ### end Alembic commands ###
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@ -1,4 +1,5 @@
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import json
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import logging
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import pickle
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from json import JSONDecodeError
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@ -6,6 +7,7 @@ from sqlalchemy import func
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from sqlalchemy.dialects.postgresql import JSONB, UUID
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from extensions.ext_database import db
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from extensions.ext_storage import storage
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from models.account import Account
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from models.model import App, UploadFile
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@ -441,6 +443,7 @@ class DatasetKeywordTable(db.Model):
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id = db.Column(UUID, primary_key=True, server_default=db.text('uuid_generate_v4()'))
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dataset_id = db.Column(UUID, nullable=False, unique=True)
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keyword_table = db.Column(db.Text, nullable=False)
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data_source_type = db.Column(db.String(255), nullable=False, server_default=db.text("'database'::character varying"))
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@property
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def keyword_table_dict(self):
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|
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@ -454,8 +457,24 @@ class DatasetKeywordTable(db.Model):
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if isinstance(node_idxs, list):
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dct[keyword] = set(node_idxs)
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return dct
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return json.loads(self.keyword_table, cls=SetDecoder) if self.keyword_table else None
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# get dataset
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dataset = Dataset.query.filter_by(
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id=self.dataset_id
|
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).first()
|
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if not dataset:
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return None
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if self.data_source_type == 'database':
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return json.loads(self.keyword_table, cls=SetDecoder) if self.keyword_table else None
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else:
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file_key = 'keyword_files/' + dataset.tenant_id + '/' + self.dataset_id + '.txt'
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try:
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keyword_table_text = storage.load_once(file_key)
|
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if keyword_table_text:
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return json.loads(keyword_table_text.decode('utf-8'), cls=SetDecoder)
|
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return None
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except Exception as e:
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logging.exception(str(e))
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return None
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|
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|
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class Embedding(db.Model):
|
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|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
{
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||||
"name": "dify-web",
|
||||
"version": "0.5.11",
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"version": "0.5.11-fix1",
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||||
"private": true,
|
||||
"scripts": {
|
||||
"dev": "next dev",
|
||||
|
|
|
|||
Loading…
Reference in New Issue