diff --git a/demohouse/animal_recognition/README.md b/demohouse/animal_recognition/README.md new file mode 100644 index 00000000..2df695d7 --- /dev/null +++ b/demohouse/animal_recognition/README.md @@ -0,0 +1,114 @@ +# 动物识别专家 + +## 应用介绍 +这是一款面向动物爱好者与自然科普场景的智能动物图片检索应用。基于 VikingDB 向量数据库与 TOS 对象存储服务，用户输入动物图片或文字描述，即可快速找到对应的动物图片，也支持用户上传自己的图片进行检索。应用还结合豆包视觉大模型（VLM），实现对动物图片的理解与介绍，帮助用户更便捷地探索自然世界。开发者可参考本示例，将图片检索和视觉理解能力复用到更多垂直场景，优化产品体验，推动业务创新。 + +### 直接体验 +访问并登录 [火山方舟控制台](https://console.volcengine.com/ark/region:ark+cn-beijing/application/detail?id=bot-multiplequery-procode-preset&prev=application)体验。 + +### 关联模型及云产品 +#### 模型 +| **相关服务** | **描述** | **计费说明** | +| --- | --- | --- | +| Doubao-1.5-vision-pro-32k | 读取并理解检索出的图片，生成图片中动物的介绍。 | [查看详情](https://www.volcengine.com/docs/82379/1099320) | +#### 云产品 +| **相关服务** | **描述** | **计费说明** | +|---------------------------------------------------------------| --- |-------------------------------------------------------| +| [向量数据库VikingDB](https://www.volcengine.com/product/VikingDB) | 基于火山引擎的云基础设施搭建，用于生产、存储、索引和分析来自机器学习模型产生的海量向量数据的数据库系统 | [查看详情](https://www.volcengine.com/docs/84313/1414459) | +| [对象存储](https://www.volcengine.com/product/TOS) |基于先进分布式技术，帮助用户存储并管理海量非结构化数据。| [查看详情](https://www.volcengine.com/docs/6349/78455)| +| [函数服务](https://www.volcengine.com/product/vefaas) | 事件驱动的无服务器函数托管计算平台 | [查看详情](https://www.volcengine.com/docs/6662/107454) | +| [API网关](https://www.volcengine.com/product/apig) | 基于云原生、高扩展、高可用的云上网关托管服务 | [查看详情](https://www.volcengine.com/docs/6569/185249) | +| [日志服务](https://www.volcengine.com/product/tls) | 提供针对日志类数据的一站式服务 | [查看详情](https://www.volcengine.com/docs/6470/1215813) | + + +## 环境准备 + +### 基础依赖 + +- Python 版本要求大于等于 3.9，小于 3.12 +- Node 18.0 或以上版本 +- PNPM 8.10 或以上版本 + +### 账号与服务 + +1. 获取火山方舟 API Key [参考文档](https://www.volcengine.com/docs/82379/1399008#b00dee71) +2. 开通VikingDB向量库（华北）[参考文档](https://www.volcengine.com/docs/84313/1254444) +3. 创建 AK/SK 及子账号权限策略 [参考文档](https://www.volcengine.com/docs/84313/1254467) +4. 开通对象存储服务，并参考以下配置 ： + - 创建名为`animal-recognition-test`的存储桶（区域选择华北） + - 上传动物图片数据集至该桶 + - 为 VikingDB 配置 TOS 访问权限（[权限配置指引](https://console.volcengine.com/iam/service/attach_role/?ServiceName=ml_platform)） + +## 快速开始 + +1. 下载代码库 + + ```bash + git clone https://github.com/volcengine/ai-app-lab.git + cd demohouse/animal_recognition + ``` +2. 修改配置 + + - 修改run.sh中配置，填入刚刚获取的AK、SK、方舟API Key和火山账号ID + + - 修改frontend/src/constants.ts，填入获取的AK、SK、火山账号ID + - 如需修改向量库数据集和索引名称，在backend/src/config.py文件中修改COLLECTION_NAME和INDEX_NAME + +3. 安装后端依赖 + + ```bash + cd demohouse/animal_recognition/backend + # 以下命令需要在backend目录执行 + python -m venv .venv + source .venv/bin/activate + # 执行pip时，需要保证对应python版本大于等于3.9.0，小于3.12 + pip install poetry==1.6.1 + + poetry install + ``` +4. 启动后端 + + ```bash + cd demohouse/deepdoubao/backend + bash run.sh + # 运行run.sh脚本后，根据提示命令操作， + # 首先通过create_index创建向量库数据集和索引，在向量库页面验证创建索引成功后，执行start_server命令， + # 启动后端服务 + ``` + +5. 启动前端 + + ```bash + # 以下命令需要在frontend目录执行 + cd ../frontend + pnpm install + pnpm run dev + ``` + +## 技术实现 +1. 核心架构与能力整合 + - 本项目通过VikingDB向量库高效的多模态检索能力、豆包Doubao-1.5-vision-pro-32k模型优秀的视觉理解能力构建了一套多模态检索系统。 +2. 技术实现路径 + - 图片理解：利用Doubao-1.5-vision-pro-32k模型，对上传的图片的背景环境、主体特征、主体外观等内容进行描述，并对图片中的动物种类生成清晰、有趣的科普知识。 + - 向量存储：将图片和图片的文字描述通过VikingDB进行向量化编码，存入向量库，在检索时，在库中检索与输入图片最相似的向量，根据相似度由高到低排序，实现高效的多模态检索。 + +## 目录结构 +```text +├── README.md +├── backend +│   ├── src +│   │   ├── __init__.py +│   │   ├── vikingdb_prepare.py # 创建向量库数据集和索引 +│   │   ├── config.py # 配置文件 +│   │   ├── handler.py # 业务处理 +│   │   ├── main.py # 入口函数 +│   ├── poetry.lock +│   ├── pyproject.toml +│   ├── run.sh # 启动脚本 +├── frontend + +``` + +## 常见问题 +- 环境变量配置错误导致的鉴权问题： + - 鉴权时需要用到run.sh中的AK、SK、ARK_API_KEY等变量，请参见环境准备和快速开始正确配置。 \ No newline at end of file diff --git a/demohouse/animal_recognition/backend/poetry.lock b/demohouse/animal_recognition/backend/poetry.lock new file mode 100644 index 00000000..ece1ff59 --- /dev/null +++ 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"pytest-ignore-flaky"] +type = ["pytest-mypy"] + +[metadata] +lock-version = "2.0" +python-versions = ">=3.9,<3.12.0" +content-hash = "a61eae74495329d3bf704cd7ba8749fead337bad6030c58a999768d3f5a97a4e" diff --git a/demohouse/animal_recognition/backend/pyproject.toml b/demohouse/animal_recognition/backend/pyproject.toml new file mode 100644 index 00000000..81c9f474 --- /dev/null +++ b/demohouse/animal_recognition/backend/pyproject.toml @@ -0,0 +1,18 @@ +[tool.poetry] +name = "animal-recognition" +version = "0.1.0" +description = "set up the animal recognition project" +authors = ["lujiakun@bytedance.com"] +readme = "README.md" + +[tool.poetry.dependencies] +python = ">=3.9,<3.12.0" +arkitect = "0.1.8" +volcengine = "1.0.183" +tos = "2.8.1" +volcengine-python-sdk = "1.1.6" + + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/demohouse/animal_recognition/backend/run.sh b/demohouse/animal_recognition/backend/run.sh new file mode 100755 index 00000000..f2094bc1 --- /dev/null +++ b/demohouse/animal_recognition/backend/run.sh @@ -0,0 +1,44 @@ +#!/bin/bash +# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates +# Licensed under the 【火山方舟】原型应用软件自用许可协议 +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# https://www.volcengine.com/docs/82379/1433703 +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +set -e +# shellcheck disable=SC2046 +cd `dirname $0` +source ./.venv/bin/activate > /dev/null 2>&1 + +export VOLC_ACCESSKEY="" +export VOLC_SECRETKEY="" +export ARK_API_KEY="" +export DEFAULT_USER_ID="" + +# you can change port to start with another port +export _FAAS_RUNTIME_PORT=8888 + +echo "请输入命令：" +echo "create_index: 创建向量库数据集和索引" +echo "start_server: 启动动物识别专家服务" +echo "quit: 退出" +while true; do + read user_input + if [ "$user_input" == "create_index" ]; then + echo "创建向量库collection和index" + python3 src/vikingdb_prepare.py + elif [ "$user_input" == "start_server" ]; then + echo "启动动物识别专家服务" + exec python3 src/main.py + elif [ "$user_input" == "quit" ]; then + echo "退出程序" + break + else + echo "无效的命令，请重新输入" + fi +done diff --git a/demohouse/animal_recognition/backend/src/__init__.py b/demohouse/animal_recognition/backend/src/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/demohouse/animal_recognition/backend/src/config.py b/demohouse/animal_recognition/backend/src/config.py new file mode 100644 index 00000000..a4356ea0 --- /dev/null +++ b/demohouse/animal_recognition/backend/src/config.py @@ -0,0 +1,144 @@ +# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates +# Licensed under the 【火山方舟】原型应用软件自用许可协议 +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# https://www.volcengine.com/docs/82379/1433703 +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import os + +import logging.handlers + +LOG_DIR = "logs" +if not os.path.exists(LOG_DIR): + os.makedirs(LOG_DIR) +LOG_FILE = os.path.join(LOG_DIR, "log.log") +logger = logging.getLogger("animal_recognition") +logger.setLevel(logging.INFO) + +if not logger.hasHandlers(): + file_handler = logging.handlers.RotatingFileHandler( + LOG_FILE, maxBytes=10 * 1024 * 1024, backupCount=5, encoding='utf-8' + ) + file_handler.setLevel(logging.DEBUG) + + console_handler = logging.StreamHandler() + console_handler.setLevel(logging.INFO) + + formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(filename)s:%(lineno)d - %(message)s") + + file_handler.setFormatter(formatter) + console_handler.setFormatter(formatter) + + logger.addHandler(file_handler) + logger.addHandler(console_handler) + + +AK = os.environ.get("VOLC_ACCESSKEY") +SK = os.environ.get("VOLC_SECRETKEY") + +ARK_API_KEY = os.environ.get("ARK_API_KEY") +DEFAULT_USER_ID = int(os.environ.get("DEFAULT_USER_ID")) + +# 以华北2(北京)为例，endpoint 填写 tos-cn-beijing.volces.com +ENDPOINT = "tos-cn-beijing.volces.com" +REGION = "cn-beijing" +DOMAIN = "api-vikingdb.volces.com" + +IMAGE_USER_MAX_UPLOAD_COUNT = 100 +IMAGE_LIST_MAX_COUNT = 20 + +COLLECTION_NAME = "animal_images_5400" +INDEX_NAME = "animal_images_5400_index" + + +VISON_MODEL = "doubao-1.5-vision-pro-32k-250115" +UPSERT_VIKINGDB_MAX_THREAD_POOL_SIZE= 10 + +DESCRIPTION_PROMPT = """请详细地描述图片中的动物 +输出参考如下格式：在XXXX（周围环境）XXXX的、XXXX（体态动作）XXXX的，XXXX（外观特点）XXXX的，XX（动物物种）XX +例如：在湖边草地上的、趴在地上目视远方的，金色毛比较长有点卷卷的，金毛巡回猎犬 + +如果图片中的主体不是动物，那么就描述主体的： +1. 背景环境； +2. 主体的动作特征； +3. 主体的外观特点； +4. 主体是什么； + +例如:在客厅电视柜上的，歪斜着摆放的，很大但是很薄的，电视机 +""" + +INTRODUCTION_PROMPT = """ +请你充当一位动物学专家，根据提供的图片简短地介绍其中的动物。请按照以下格式回答： +1. 动物种类（包括名称、科属、纲目等） +2. 主要特征（外观、大小、颜色等） +3. 习性（栖息地、食性、活动规律等） +4. 有趣的知识（有趣的行为、文化象征、特殊能力等） +请使用清晰、通俗易懂的语言进行描述，以便读者轻松理解。 + +如果图片中的主体不是动物，则回复用户如下内容：图片中的主体不是动物，请上传你的小动物再做检索吧！ +""" + +UPSERT_IMAGE_RISK_PROMPT = """ +## 角色 +你是一位图片判断专家，你会判断用户上传的图片是否是动物图片； + +## 任务 +检查用户上传的图片，判断图片中的内容是否包含动物； + +## 要求 +1. 如果用户的图片包含动物，则输出1，如果不包含则输出0，标准可以放宽一些； +2. 如果用户的图片包含政治敏感的人物、建筑、事件，则一定输出0，这个要很严格； +3. 输出格式要严格按照json格式输出，例如{“animal”: “1”}或{“animal”: “0”}； +4. 只能输出json的意图判断，其他任何多余内容和解释都禁止输出； + +## 示例 +用户输入: 熊猫图片 +判断输出：{“animal”: “1”} + +用户输入: 建筑图片 +判断输出：{“animal”: “0”} + +用户输入: 只包含人类图片 +判断输出：{“animal”: “0”} + +用户输入: 大量动物迁徙图片 +判断输出：{“animal”: “1”} + +用户输入: 动物和人类一起出现 +判断输出：{“animal”: “1”} +""" + +QUERY_RISK_PROMPT=""" +## 角色 +你是一位意图判断专家，你将根据用户输入的query，来解决判断用户的意图是否是想去搜索动物之类的意图； + +## 任务 +根据用户上传的内容（可能是文本，也可能是图片），也就是query，判断用户的意图，检查其意图是否是想去检索动物； + +## 要求 +1. 如果用户的query看起来是像要去检索动物的，则输出1，如果不是则输出0，标准可以放宽一些； +2. 如果用户的query包含政治敏感的人物、建筑、事件，则一定输出0，这个要很严格； +3. 输出格式要严格按照json格式输出，例如{“intention”: “1”}或{“intention”: “0”} +4. 只能输出json的意图判断，其他任何多余内容和解释都禁止输出； + +## 示例 +用户输入: "小熊猫"（无论是文本还是图片） +判断输出：{“intention”: “1”} + +用户输入: "国家领导人"（无论是文本还是图片） +判断输出：{“intention”: “0”} + +用户输入: "天安门"（无论是文本还是图片） +判断输出：{“intention”: “0”} + +用户输入: "水生的"（无论是文本还是图片） +判断输出：{“intention”: “1”} + +用户输入: "高大的"（无论是文本还是图片） +判断输出：{“intention”: “1”} +""" \ No newline at end of file diff --git a/demohouse/animal_recognition/backend/src/handler.py b/demohouse/animal_recognition/backend/src/handler.py new file mode 100644 index 00000000..17d4ef60 --- /dev/null +++ b/demohouse/animal_recognition/backend/src/handler.py @@ -0,0 +1,279 @@ +# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates +# Licensed under the 【火山方舟】原型应用软件自用许可协议 +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# https://www.volcengine.com/docs/82379/1433703 +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from volcengine.viking_db import * +from volcenginesdkarkruntime import Ark +from config import * +import tos +import json +from tos import HttpMethodType +from concurrent.futures import ThreadPoolExecutor +import threading + + +def get_tos_url_signed(tos_path): + bucket_name, object_key = tos_path.split("//")[1].split("/", 1) + client = tos.TosClientV2(AK, SK, ENDPOINT, REGION) + signed_url = client.pre_signed_url(HttpMethodType.Http_Method_Get, bucket_name, object_key) + return signed_url.signed_url + + +def get_tos_url_signed_list_handler(tos_path_list): + code = 200 + msg = "" + err_msg = "" + logger.info("get_tos_url_signed_list_handler") + logger.info("tos_path_list: %s", tos_path_list) + signed_url_list = [] + err_tos_list = [] + client = tos.TosClientV2(AK, SK, ENDPOINT, REGION) + for tos_path in tos_path_list: + try: + bucket_name, object_key = tos_path.split("//")[1].split("/", 1) + if bucket_name != "animal-images-5400": + continue + signed_url = client.pre_signed_url(HttpMethodType.Http_Method_Get, bucket_name, object_key) + signed_url_list.append(signed_url.signed_url) + except Exception as e: + # 操作失败，捕获客户端异常，一般情况为非法请求参数或网络异常 + logger.error('fail with client error, message:{}, cause: {}'.format(e.message, e.cause)) + err_tos_list.append(tos_path) + if len(err_tos_list) > 0: + code = 500 + msg = json.dumps(err_tos_list) + err_msg = "get_tos_url_signed_list_handler failed" + return code, msg, err_msg, signed_url_list + + +def get_description_introduction(image_tos_path): + image_url_signed_url = get_tos_url_signed(image_tos_path) + + # 并行处理两个请求 + def _generate_content(prompt): + client = Ark(api_key=ARK_API_KEY) # 每个线程创建独立客户端 + return client.chat.completions.create( + model=VISON_MODEL, + messages=[{ + "role": "user", + "content": [ + {"type": "text", "text": prompt}, + {"type": "image_url", "image_url": {"url": image_url_signed_url}} + ], + }] + ) + + with ThreadPoolExecutor(max_workers=1) as executor: + # 风控 + future_risk = executor.submit(_generate_content, UPSERT_IMAGE_RISK_PROMPT) + future_desc = executor.submit(_generate_content, DESCRIPTION_PROMPT) + future_intro = executor.submit(_generate_content, INTRODUCTION_PROMPT) + # 获取结果 + response_risk = future_risk.result() + response_description = future_desc.result() + response_introduction = future_intro.result() + + return ( + response_risk.choices[0].message.content, + response_description.choices[0].message.content, + response_introduction.choices[0].message.content + ) + + +def upsert_image_handler(user_id: int, image_tos_path_list: list[str], upload_time: int): + code = 200 + msg = "" + err_msg = "" + + user_already_upload_len = len(list_user_image(user_id, IMAGE_USER_MAX_UPLOAD_COUNT)) + if user_already_upload_len + len(image_tos_path_list) > IMAGE_USER_MAX_UPLOAD_COUNT: + logger.warning("user: {} already uploaded {} images, upto the limit".format( + user_id, IMAGE_USER_MAX_UPLOAD_COUNT)) + code = 403 + msg = "" + err_msg = "user already upload max count images" + return code, msg, err_msg + + err_image_list = [] + lock = threading.Lock() + vikingdb_service = VikingDBService(host=DOMAIN, region=REGION, connection_timeout=30, socket_timeout=30) + vikingdb_service.set_ak(AK) + vikingdb_service.set_sk(SK) + collection = vikingdb_service.get_collection(COLLECTION_NAME) + + def _process_image(image_tos_path): + try: + # 获取AI生成内容 + logger.info("get image description for {}".format(image_tos_path)) + risk, desc, intro = get_description_introduction(image_tos_path) + + risk = json.loads(risk) + if risk["animal"] == "0": + logger.info("image: {} is not animal, skip".format(image_tos_path)) + with lock: + # err_item = { + # "image_tos_path": image_tos_path, + # "err_msg": "image is not animal" + # } + err_image_list.append(image_tos_path) + return + # 构建数据对象 + data = Data({ + "user_id": user_id, + "upload_time": upload_time, + "image_description": desc, + "image_tos_path": image_tos_path, + "image_introduction": intro, + }, TTL=30 * 24 * 60 * 60) + + collection.upsert_data(data) + logger.info("upsert \"{}\" image success".format(image_tos_path)) + except Exception as e: + logger.error(f"处理图片失败: {image_tos_path}, 错误: {str(e)}") + with lock: + # err_item = { + # "image_tos_path": image_tos_path, + # "err_msg": "generate description or introduction failed: "+str(e) + # } + err_image_list.append(image_tos_path) + + # 使用线程池并发处理 + with ThreadPoolExecutor(max_workers=UPSERT_VIKINGDB_MAX_THREAD_POOL_SIZE) as executor: + executor.map(_process_image, image_tos_path_list) + + if len(err_image_list) > 0: + logger.error(err_image_list) + code = 500 + msg = json.dumps(err_image_list) + err_msg = "upsert image failed" + return code, msg, err_msg + + +def _check_query_risk(text, image_tos_path): + messages = [ + { + "role": "user", + "content": [ + {"type": "text", "text": QUERY_RISK_PROMPT} + ], + } + ] + if text: + messages[0]["content"][0]["text"] = QUERY_RISK_PROMPT + "用户输入: " + text + if image_tos_path: + messages[0]["content"].append( + {"type": "image_url", "image_url": {"url": get_tos_url_signed(image_tos_path)}}) + client = Ark(api_key=ARK_API_KEY) + response = client.chat.completions.create( + model=VISON_MODEL, + messages=messages + ) + query_risk = json.loads(response.choices[0].message.content) + if query_risk["intention"] == "0": + return False + return True + + +def search_image_handler(text: str, user_id: int, image_tos_path: str): + logger.info("search image for user_id: {}, search query: {}, search image path: {}".format( + user_id, text, image_tos_path)) + code = 200 + msg = "" + err_msg = "" + vikingdb_service = VikingDBService(host=DOMAIN, region=REGION, connection_timeout=30, socket_timeout=30) + vikingdb_service.set_ak(AK) + vikingdb_service.set_sk(SK) + index = vikingdb_service.get_index(COLLECTION_NAME, INDEX_NAME) + if text == "": + text = None + if image_tos_path == "": + image_tos_path = None + + if not _check_query_risk(text, image_tos_path): + logger.warning("query or image forbidden to search") + code = 403 + msg = "" + err_msg = "query or image is forbidden" + return code, msg, err_msg, [] + + datas = index.search_with_multi_modal( + text=text, # 文本输入，表示查询的文本内容 + image=image_tos_path, + limit=4, # 设置返回的最大结果数为 4 + need_instruction=False, + filter={ + "op": "or", + "conds": [ + { + "op": "must", + "field": "user_id", + "conds": [user_id] + }, + { + "op": "must", + "field": "user_id", + "conds": [DEFAULT_USER_ID] + } + ] + } + ) + result_list = [x.fields for x in datas] + return code, msg, err_msg, result_list + + +def list_image_handler(user_id: int): + user_tos_list = list_user_image(user_id, IMAGE_LIST_MAX_COUNT) + tos_data = { + 'user': user_tos_list, + } + if len(user_tos_list) < IMAGE_LIST_MAX_COUNT: + default_tos_list = list_default_image() + tos_data['default'] = default_tos_list[:IMAGE_LIST_MAX_COUNT - len(user_tos_list)] + return tos_data + + +def list_user_image(user_id: int, limit: int): + logger.info("list_user_image") + logger.info("user_id: %s", user_id) + vikingdb_service = VikingDBService(host=DOMAIN, region=REGION, connection_timeout=30, socket_timeout=30) + vikingdb_service.set_ak(AK) + vikingdb_service.set_sk(SK) + index = vikingdb_service.get_index(COLLECTION_NAME, INDEX_NAME) + order = ScalarOrder("upload_time", Order.Desc) + filter = { + "op": "must", + "field": "user_id", + "conds": [user_id] + } + datas = index.search(order=order, filter=filter, limit=limit) + + user_tos_list = [x.fields for x in datas] + return user_tos_list + + +DEFAULT_TOS_LIST = [] + + +def list_default_image(): + global DEFAULT_TOS_LIST + if len(DEFAULT_TOS_LIST) > 0: + return DEFAULT_TOS_LIST + vikingdb_service = VikingDBService(host=DOMAIN, region=REGION, connection_timeout=30, socket_timeout=30) + vikingdb_service.set_ak(AK) + vikingdb_service.set_sk(SK) + index = vikingdb_service.get_index(COLLECTION_NAME, INDEX_NAME) + filter_params = { + "op": "must", + "field": "user_id", + "conds": [DEFAULT_USER_ID] + } + datas = index.search(filter=filter_params, limit=IMAGE_LIST_MAX_COUNT) + DEFAULT_TOS_LIST = [x.fields for x in datas] + return DEFAULT_TOS_LIST diff --git a/demohouse/animal_recognition/backend/src/main.py b/demohouse/animal_recognition/backend/src/main.py new file mode 100644 index 00000000..27bb25dc --- /dev/null +++ b/demohouse/animal_recognition/backend/src/main.py @@ -0,0 +1,132 @@ +# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates +# Licensed under the 【火山方舟】原型应用软件自用许可协议 +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# https://www.volcengine.com/docs/82379/1433703 +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import time + +from typing import AsyncIterable +from arkitect.core.component.llm.model import ArkChatRequest, ArkChatResponse, Response + +from arkitect.core.errors import Error +from arkitect.launcher.local.serve import launch_serve +from arkitect.telemetry.trace import task +from arkitect.utils.context import get_reqid + +from handler import * + + +def assemble_resp(status_code, message, error_flag=False, error_msg="", metadata=None): + error = None + if error_flag: + error = Error(code=error_msg, code_n=status_code, message=message) + + return ArkChatResponse( + error=error, + id=get_reqid(), + choices=[], + model="", + created=int(time.time()), + object="chat.completion", + metadata=metadata, + ) + + +def upsert_image(request: ArkChatRequest): + user_id = request.metadata.get("user_id") + image_tos_path_list = request.metadata.get("image_tos_path_list") + upload_time = request.metadata.get("upload_time") + if not user_id or not image_tos_path_list or not upload_time: + return assemble_resp(400, "user_id or image_tos_path or upload_time is None", error_flag=True, + error_msg="user_id or image_tos_path or upload_time is None") + if len(image_tos_path_list) > IMAGE_USER_MAX_UPLOAD_COUNT: + return assemble_resp(403, "forbid upload more than 100 images", error_flag=True, + error_msg="forbid upload more than 100 images") + code, msg, err_msg = upsert_image_handler(user_id, image_tos_path_list, upload_time) + if code != 200: + return assemble_resp(code, msg, error_flag=True, error_msg=err_msg) + return assemble_resp(code, msg, metadata={}) + + +def search_image(request: ArkChatRequest): + user_id = request.metadata.get("user_id") + if not user_id: + return assemble_resp(400, "user_id is None", error_flag=True, error_msg="user_id is None") + query = request.metadata.get("query", "") + image_tos_path = request.metadata.get("image_tos_path", "") + if query == "" and image_tos_path == "": + return assemble_resp(400, "query and image_tos_path is None", error_flag=True, + error_msg="query and image_tos_path is None") + code, msg, err_msg, image_tos_path_list = search_image_handler(query, user_id, image_tos_path) + if code != 200: + return assemble_resp(code, msg, error_flag=True, error_msg=err_msg) + return assemble_resp(200, "search image success", metadata={"image_tos_path_list": image_tos_path_list}) + + +def list_image(request: ArkChatRequest): + user_id = request.metadata.get("user_id") + if not user_id: + return assemble_resp(400, "user_id is None", error_flag=True, error_msg="user_id is None") + image_tos_data = list_image_handler(user_id) + return assemble_resp(200, "list image success", metadata={"image_tos_path_list": image_tos_data}) + + +def signed_tos_list_to_url_list(request: ArkChatRequest): + image_tos_path_list = request.metadata.get("image_tos_path_list") + if not image_tos_path_list: + return assemble_resp(400, "image_tos_path_list is None", error_flag=True, + error_msg="image_tos_path_list is None") + code, msg, err_msg, image_url_list = get_tos_url_signed_list_handler(image_tos_path_list) + if code != 200: + return assemble_resp(code, msg, error_flag=True, error_msg=err_msg) + return assemble_resp(200, "signed_tos_list_to_url_list success", metadata={"image_url_list": image_url_list}) + + +TYPE_MAP_FUNC = { + "list_image": list_image, + "upsert_image": upsert_image, + "search_image": search_image, + "signed_tos_list_to_url_list": signed_tos_list_to_url_list, +} + + +def default_model_calling( + request: ArkChatRequest, +) -> ArkChatResponse: + request_type = request.metadata.get("type") + assert request_type is not None + + func = TYPE_MAP_FUNC.get(request_type) + assert func is not None + return func(request) + + +@task() +async def main(request: ArkChatRequest) -> AsyncIterable[Response]: + try: + yield default_model_calling(request) + except Exception as e: + logger.error("process request error: {}".format(e)) + yield assemble_resp(500, "InternalServiceError", error_flag=True, error_msg=str(e)) + + +if __name__ == "__main__": + env_port = os.getenv("_FAAS_RUNTIME_PORT") + try: + port = int(env_port) + except Exception as exp: + logger.warning("can not convert {} port to int, error: {}".format(env_port, exp)) + port = 8888 + launch_serve( + package_path="main", + port=port, + health_check_path="/v1/ping", + endpoint_path="/api/v3/bots/chat_multi_modal/animal_recognition", + clients={}, + ) diff --git a/demohouse/animal_recognition/backend/src/vikingdb_prepare.py b/demohouse/animal_recognition/backend/src/vikingdb_prepare.py new file mode 100644 index 00000000..f0a4c919 --- /dev/null +++ b/demohouse/animal_recognition/backend/src/vikingdb_prepare.py @@ -0,0 +1,53 @@ +# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates +# Licensed under the 【火山方舟】原型应用软件自用许可协议 +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# https://www.volcengine.com/docs/82379/1433703 +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from volcengine.viking_db import * +from config import * + + +def prepare_vikingdb_index(collection_name, index_name): + vdb_client = VikingDBService(host=DOMAIN, region="cn-beijing", connection_timeout=30, socket_timeout=30) + vdb_client.set_ak(AK) + vdb_client.set_sk(SK) + fields = [ + Field(field_name="upload_time", field_type=FieldType.Int64, default_val=0), + Field(field_name="image_introduction", field_type=FieldType.String, default_val="default"), + Field(field_name="image_description", field_type=FieldType.Text), + Field(field_name="image_tos_path", field_type=FieldType.Image), + Field(field_name="image_sign", field_type=FieldType.String, default_val="default"), + Field(field_name="sub_user_id", field_type=FieldType.String, default_val="default"), + Field(field_name="user_id", field_type=FieldType.Int64, default_val=0) + ] + vectorize = [ + VectorizeTuple( + dense=VectorizeModelConf( + model_name="doubao-embedding-vision", + model_version="241215", + text_field="image_description", + image_field="image_tos_path", + dim=3072 + ) + ) + ] + + collection = vdb_client.create_collection(collection_name, fields, vectorize=vectorize) + print("collection_name: {}, fields: {}".format(collection.collection_name, collection.fields)) + + vector_index = VectorIndexParams(distance=DistanceType.IP, index_type=IndexType.FLAT, quant=QuantType.Int8) + _ = vdb_client.create_index(collection_name, index_name, vector_index, cpu_quota=1) + + +def main(): + prepare_vikingdb_index(COLLECTION_NAME, INDEX_NAME) + + +if __name__ == "__main__": + main() diff --git a/demohouse/animal_recognition/frontend/.browserslistrc b/demohouse/animal_recognition/frontend/.browserslistrc new file mode 100644 index 00000000..f5ceef6b --- /dev/null +++ b/demohouse/animal_recognition/frontend/.browserslistrc @@ -0,0 +1,5 @@ +chrome >= 51 +edge >= 15 +firefox >= 54 +safari >= 10 +ios_saf >= 10 diff --git a/demohouse/animal_recognition/frontend/.gitignore b/demohouse/animal_recognition/frontend/.gitignore new file mode 100644 index 00000000..09fe0973 --- /dev/null +++ b/demohouse/animal_recognition/frontend/.gitignore @@ -0,0 +1,32 @@ +.DS_Store + +.pnp +.pnp.js +.env.local +.env.*.local +.history +.output +*.log* + +node_modules/ +.yarn-integrity +.pnpm-store/ +*.tsbuildinfo +.changeset/pre.json + +dist/ +coverage/ +release/ +output/ +output_resource/ +log/ + +.vscode/**/* +!.vscode/settings.json +!.vscode/extensions.json +.idea/ + +**/*/typings/auto-generated + +modern.config.local.* +.output \ No newline at end of file diff --git a/demohouse/animal_recognition/frontend/.npmrc b/demohouse/animal_recognition/frontend/.npmrc new file mode 100644 index 00000000..07a29be0 --- /dev/null +++ b/demohouse/animal_recognition/frontend/.npmrc @@ -0,0 +1,2 @@ +strict-peer-dependencies=false +registry=https://registry.npmmirror.com/ \ No newline at end of file diff --git a/demohouse/animal_recognition/frontend/.nvmrc b/demohouse/animal_recognition/frontend/.nvmrc new file mode 100644 index 00000000..a77793ec --- /dev/null +++ b/demohouse/animal_recognition/frontend/.nvmrc @@ -0,0 +1 @@ +lts/hydrogen diff --git a/demohouse/animal_recognition/frontend/biome.json b/demohouse/animal_recognition/frontend/biome.json new file mode 100644 index 00000000..9e1f92c7 --- /dev/null +++ b/demohouse/animal_recognition/frontend/biome.json @@ -0,0 +1,37 @@ +{ + "$schema": "https://biomejs.dev/schemas/1.8.3/schema.json", + "vcs": { + "enabled": false, + "defaultBranch": "master", + "clientKind": "git", + "useIgnoreFile": true + }, + "formatter": { + "enabled": true, + "indentStyle": "space" + }, + "javascript": { + "formatter": { + "quoteStyle": "single", + "arrowParentheses": "asNeeded", + "jsxQuoteStyle": "double", + "lineWidth": 80 + } + }, + "linter": { + "enabled": true, + "rules": { + "recommended": true, + "suspicious": { + "noExplicitAny": "off" + } + } + }, + "organizeImports": { + "enabled": false + }, + "files": { + "ignoreUnknown": true, + "ignore": [".vscode/**/*", "node_modules/**/*", "dist/**/*"] + } +} diff --git a/demohouse/animal_recognition/frontend/modern.config.ts b/demohouse/animal_recognition/frontend/modern.config.ts new file mode 100644 index 00000000..ca1459cd --- /dev/null +++ b/demohouse/animal_recognition/frontend/modern.config.ts @@ -0,0 +1,36 @@ +// Copyright (c) 2025 Bytedance Ltd. and/or its affiliates +// Licensed under the 【火山方舟】原型应用软件自用许可协议 +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// https://www.volcengine.com/docs/82379/1433703 +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + + + +import { appTools, defineConfig } from '@modern-js/app-tools'; +import * as tailwindConfig from './tailwind.config'; +import { tailwindcssPlugin } from '@modern-js/plugin-tailwindcss'; + +export default defineConfig({ + runtime: { + router: true, + }, + source: { + alias: { + '@': './src', + }, + }, + tools:{ + tailwindcss: tailwindConfig, + }, + plugins: [ + appTools({ + bundler: 'rspack', // Set to 'webpack' to enable webpack + }), + tailwindcssPlugin(), + ], +}); diff --git a/demohouse/animal_recognition/frontend/package.json b/demohouse/animal_recognition/frontend/package.json new file mode 100644 index 00000000..d1f95764 --- /dev/null +++ b/demohouse/animal_recognition/frontend/package.json @@ -0,0 +1,52 @@ +{ + "name": "voice-bot-fe", + "version": "0.1.0", + "scripts": { + "reset": "npx rimraf code/node_modules ./**/node_modules", + "dev": "modern dev", + "build": "modern build", + "start": "modern start", + "serve": "modern serve", + "new": "modern new", + "lint": "biome check", + "lint:fix": "biome check --fix --unsafe", + "upgrade": "modern upgrade" + }, + "engines": { + "node": ">=16.18.1" + }, + "dependencies": { + "@arco-design/web-react": "^2.64.0", + "@modern-js/plugin-tailwindcss": "2.60.0", + "@modern-js/runtime": "2.60.0", + "@volcengine/tos-sdk": "^2.7.4", + "ahooks": "^3.8.4", + "classnames": "2.3.2", + "dayjs": "^1.11.13", + "dotenv": "^16.5.0", + 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+ '@types/react': 18.0.38 + + util-deprecate@1.0.2: {} + + util@0.12.5: + dependencies: + inherits: 2.0.4 + is-arguments: 1.2.0 + is-generator-function: 1.1.0 + is-typed-array: 1.1.15 + which-typed-array: 1.1.18 + + utila@0.4.0: {} + + uuid@11.1.0: {} + + varint@6.0.0: {} + + vm-browserify@1.1.2: {} + + void-elements@3.1.0: {} + + watchpack@2.4.2: + dependencies: + glob-to-regexp: 0.4.1 + graceful-fs: 4.2.11 + + web-encoding@1.1.5: + dependencies: + util: 0.12.5 + optionalDependencies: + '@zxing/text-encoding': 0.9.0 + + web-streams-polyfill@3.3.3: {} + + webidl-conversions@3.0.1: {} + + webpack-sources@2.3.1: + dependencies: + source-list-map: 2.0.1 + source-map: 0.6.1 + + webpack-sources@3.2.3: {} + + webpack-subresource-integrity@5.1.0(html-webpack-plugin@5.5.3(webpack@5.97.1(esbuild@0.17.19)))(webpack@5.97.1(esbuild@0.17.19)): + dependencies: + typed-assert: 1.0.9 + webpack: 5.97.1(esbuild@0.17.19) + optionalDependencies: + html-webpack-plugin: 5.5.3(webpack@5.97.1(esbuild@0.17.19)) + + webpack@5.97.1(esbuild@0.17.19): + dependencies: + '@types/eslint-scope': 3.7.7 + '@types/estree': 1.0.6 + '@webassemblyjs/ast': 1.14.1 + '@webassemblyjs/wasm-edit': 1.14.1 + '@webassemblyjs/wasm-parser': 1.14.1 + acorn: 8.14.0 + browserslist: 4.24.4 + chrome-trace-event: 1.0.4 + enhanced-resolve: 5.18.0 + es-module-lexer: 1.6.0 + eslint-scope: 5.1.1 + events: 3.3.0 + glob-to-regexp: 0.4.1 + graceful-fs: 4.2.11 + json-parse-even-better-errors: 2.3.1 + loader-runner: 4.3.0 + mime-types: 2.1.35 + neo-async: 2.6.2 + schema-utils: 3.3.0 + tapable: 2.2.1 + terser-webpack-plugin: 5.3.10(esbuild@0.17.19)(webpack@5.97.1(esbuild@0.17.19)) + watchpack: 2.4.2 + webpack-sources: 3.2.3 + transitivePeerDependencies: + - '@swc/core' + - esbuild + - uglify-js + + whatwg-url@5.0.0: + dependencies: + tr46: 0.0.3 + webidl-conversions: 3.0.1 + + which-typed-array@1.1.18: + dependencies: + available-typed-arrays: 1.0.7 + call-bind: 1.0.8 + call-bound: 1.0.3 + for-each: 0.3.3 + gopd: 1.2.0 + has-tostringtag: 1.0.2 + + which@2.0.2: + dependencies: + isexe: 2.0.0 + + wide-align@1.1.5: + dependencies: + string-width: 4.2.3 + + with@7.0.2: + dependencies: + '@babel/parser': 7.26.5 + '@babel/types': 7.26.5 + assert-never: 1.4.0 + babel-walk: 3.0.0-canary-5 + + wrap-ansi@6.2.0: + dependencies: + ansi-styles: 4.3.0 + string-width: 4.2.3 + strip-ansi: 6.0.1 + + wrap-ansi@7.0.0: + dependencies: + ansi-styles: 4.3.0 + string-width: 4.2.3 + strip-ansi: 6.0.1 + + wrap-ansi@8.1.0: + dependencies: + ansi-styles: 6.2.1 + string-width: 5.1.2 + strip-ansi: 7.1.0 + + wrappy@1.0.2: {} + + ws@8.18.0: {} + + xtend@4.0.2: {} + + yallist@3.1.1: {} + + yallist@4.0.0: {} + + yaml@1.10.2: {} + + yaml@2.7.0: {} + + yocto-queue@0.1.0: {} + + yocto-queue@1.1.1: {} + + zustand@5.0.3(@types/react@18.0.38)(immer@9.0.21)(react@18.2.0): + optionalDependencies: + '@types/react': 18.0.38 + immer: 9.0.21 + react: 18.2.0 diff --git a/demohouse/animal_recognition/frontend/src/api.ts b/demohouse/animal_recognition/frontend/src/api.ts new file mode 100644 index 00000000..bdd83f57 --- /dev/null +++ b/demohouse/animal_recognition/frontend/src/api.ts @@ -0,0 +1,61 @@ +// Copyright (c) 2025 Bytedance Ltd. and/or its affiliates +// Licensed under the 【火山方舟】原型应用软件自用许可协议 +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// https://www.volcengine.com/docs/82379/1433703 +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +import Cookies from 'js-cookie'; + +export enum ERequestType { + // 获取图库列表 + LIST_IMAGE = 'list_image', + // 图片入库 + UPSERT_IMAGE = 'upsert_image', + // 图片检索 + SEARCH_IMAGE = 'search_image', + // 图片过签 + SIGNED_TOS_LIST = 'signed_tos_list_to_url_list', +} +const API_PATH="http://localhost:8888/api/v3/bots/chat_multi_modal/animal_recognition" +export async function queryRequest, R>( + type: ERequestType, + { data }: { data?: T; customHeader?: Record }, +): Promise { + const metadata = { + type, + ...data, + }; + const body = JSON.stringify({ + model: '', + metadata, + messages: [], + }); + const headers = new Headers(); + headers.append('Content-Type', 'application/json'); + headers.append('X-Csrf-Token', Cookies.get('csrfToken') || ''); + + const response = await fetch(API_PATH, { + mode: 'cors', + method: 'POST', + credentials: 'include', + headers, + body, + }); + if (!response.ok) { + throw new Error(`HTTP error! status: ${response.status}`); + } + + if (!response.body) { + throw new Error('Response body is null'); + } + const resBody = await response.json(); + if (resBody?.error !== null) { + throw new Error(JSON.stringify(resBody?.error)); + } + return resBody?.metadata; +} diff --git a/demohouse/animal_recognition/frontend/src/components/MyGallery/components/UploadTosFile.tsx b/demohouse/animal_recognition/frontend/src/components/MyGallery/components/UploadTosFile.tsx new file mode 100644 index 00000000..b3c67608 --- /dev/null +++ b/demohouse/animal_recognition/frontend/src/components/MyGallery/components/UploadTosFile.tsx @@ -0,0 +1,153 @@ +// Copyright (c) 2025 Bytedance Ltd. and/or its affiliates +// Licensed under the 【火山方舟】原型应用软件自用许可协议 +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// https://www.volcengine.com/docs/82379/1433703 +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +import { FC, useContext, useEffect, useMemo, useState } from 'react'; + +import { Button, Message, Modal, Upload } from '@arco-design/web-react'; +import { useRequest } from 'ahooks'; +import { debounce, isArray, isError } from 'lodash'; +import { UploadTosContext } from '../../../store/UploadTos/context'; +import { upsertImageRequest } from '@/types/upsertImage'; +import { ERequestType, queryRequest } from '@/api'; +import { IconUpload } from '@/images'; +import { globalEnv } from '@/constant'; +import { parseTosPath } from '@/utils/parseTosPath'; +const TOS_PREFIX="user" +export const UploadTosFile: FC<{ refreshImage: () => void }> = ({ refreshImage }) => { + const { uploadTos } = useContext(UploadTosContext); + const [uploadNum, setUploadNum] = useState(0); + const [fileNum, setFileNum] = useState(0); + const [failFileList, setFailFileList] = useState([]); + const [successFileList, setSuccessFileList] = useState([]); + + const { loading: upsertLoading, runAsync } = useRequest( + async (fileList: string[]) => { + try { + await queryRequest(ERequestType.UPSERT_IMAGE, { + data: { + image_tos_path_list: fileList.map(file=> `tos://${globalEnv.BUCKET_NAME}/${TOS_PREFIX}/${file}`), + upload_time: Date.now(), + user_id:globalEnv.ARK_DEFAULT_USER_ID, + image_sign_list:[] + }, + }); + return + } catch (e: any) { + // 插入失败的文件 + if (isError(e)) { + const res = JSON.parse(e.message); + if (res?.code) { + if (res.code === 'upsert image failed' && res.message) { + const arr:string[] = JSON.parse(res.message); + if (isArray(arr)) { + setFailFileList(list=>[...list,...arr.map((item:string)=>parseTosPath(item).fileName)]); + } + } else if (res.code === 'user already upload max count images') { + Message.error('超过上传数量限制，最多上传100张图片'); + } + } + } + throw new Error(e); + } + }, + { + manual: true, + }, + ); + const debounceRefresh = debounce(() => { + refreshImage(); + }, 20 * 1000); + + // 图片上传 + const handleUpload = async (file: File, files: File[]) => { + // 设置上传图片数量 + setFileNum(files.length); + // 保存上传成功和失败的文件 + try { + if (file.size > 10 * 1024 * 1024) { + throw new Error('图片大小不能超过10M'); + } + await uploadTos(file,`${TOS_PREFIX}/${file.name}`); + setSuccessFileList(fileList => [...fileList,file.name]); + } catch { + setFailFileList(list => [...list, file.name]); + } finally { + setUploadNum(uploadNum => uploadNum + 1); + } + }; + // 是否完成上传 + const finishUpload = useMemo(() => fileNum === uploadNum, [fileNum, uploadNum]); + + // 上传完插入图片 + const handleUpsert = async () => { + try { + successFileList.length&&await runAsync(successFileList); + if (failFileList.length) { + Message.error(`${failFileList.join(',')}上传失败, 请更换图片重新试试吧`); + return + } + Modal.success({ + title: '图片上传成功', + content: + '索引更新需要一段时间，更新后系统会自动刷新您的图库。此外，上传图片有效期为30天，30天后系统会自动删除图库内手动上传的图片', + okText: '我知道了', + cancelText: '取消', + }); + // 刷新图库 + debounceRefresh(); + } catch (e: any) { + console.error(e); + } finally { + // 重置上传进度 + setFileNum(0); + setUploadNum(0); + setSuccessFileList([]); + setFailFileList([]); + } + }; + useEffect(() => { + if (finishUpload && fileNum) { + handleUpsert(); + } + }, [finishUpload, fileNum]); + + // 是否能上传 + const activeSend = useMemo(() => finishUpload && !upsertLoading, [finishUpload, upsertLoading]); + + return ( +
+ { + handleUpload(file, files); + return false; + }} + showUploadList={false} + disabled={!activeSend} + onExceedLimit={() => { + Message.warning('超过上传数量限制，单次最多上传10张图片'); + }} + > +
+ +
+ +
+ ); +}; diff --git a/demohouse/animal_recognition/frontend/src/components/MyGallery/index.tsx b/demohouse/animal_recognition/frontend/src/components/MyGallery/index.tsx new file mode 100644 index 00000000..1d0fc300 --- /dev/null +++ b/demohouse/animal_recognition/frontend/src/components/MyGallery/index.tsx @@ -0,0 +1,104 @@ +// Copyright (c) 2025 Bytedance Ltd. and/or its affiliates +// Licensed under the 【火山方舟】原型应用软件自用许可协议 +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// https://www.volcengine.com/docs/82379/1433703 +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +import { useContext, useState } from 'react'; + +import { Button, Image } from '@arco-design/web-react'; +import { useRequest } from 'ahooks'; + +import { UploadTosFile } from './components/UploadTosFile'; +import { ERequestType, queryRequest } from '../../api'; +import { ImageTosPathListResponse } from '../../types/ImageTosPathList'; +import { UploadTosContext } from '../../store/UploadTos/context'; +import { IconLoading, IconRefresh } from '@/images'; +import { globalEnv } from '@/constant'; +import { parseTosPath } from '@/utils/parseTosPath'; + +export const MyGallery = () => { + const { getPreSignedUrl } = useContext(UploadTosContext); + // 获取图片列表 + const { loading, runAsync, data } = useRequest( + async () => { + const res = await queryRequest<{ user_id: number }, ImageTosPathListResponse>(ERequestType.LIST_IMAGE, {data:{ + user_id:Number(globalEnv.ARK_DEFAULT_USER_ID) + }}); + const list = res?.image_tos_path_list; + // 用户图片通过bff过签 + return Promise.all(list.user.map(async({image_tos_path,...res})=>({ + ...res, + displayUrl:await getPreSignedUrl(parseTosPath(image_tos_path).key) + }))) + }, + { + debounceWait: 500, + }, + ); + const [previewImage, setPreviewImage] = useState(''); + return ( +
+
+
+
我的图库
+ +
+
+ +
+ {loading && ( +
+ +
+ )} + {!loading && ( +
+ {data?.map(img => ( + { + setPreviewImage(img.displayUrl ?? null); + }} + src={img.displayUrl} + > + ))} +
+ )} +
+ { + if (!visible) { + setPreviewImage(null); + } + }} + /> +
仅展示前20张图片
+
+ { + runAsync(); + }} + /> +
+ 想检索自己的小动物？快来上传你的宠物图片吧～ +
+
+
+ ); +}; diff --git a/demohouse/animal_recognition/frontend/src/components/QueryBox/components/MessageInput/index.tsx b/demohouse/animal_recognition/frontend/src/components/QueryBox/components/MessageInput/index.tsx new file mode 100644 index 00000000..7d74a1ee --- /dev/null +++ b/demohouse/animal_recognition/frontend/src/components/QueryBox/components/MessageInput/index.tsx @@ -0,0 +1,388 @@ +// Copyright (c) 2025 Bytedance Ltd. and/or its affiliates +// Licensed under the 【火山方舟】原型应用软件自用许可协议 +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// https://www.volcengine.com/docs/82379/1433703 +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +/* eslint-disable react/destructuring-assignment */ +/* eslint-disable max-lines-per-function */ +import { FC, useCallback, useMemo, useRef, useState, useEffect, useContext } from 'react'; + +import clsx from 'classnames'; +import { Divider, Message, Upload } from '@arco-design/web-react'; +import { ImageType, QueryParamsType } from '@/store/Query/context'; +import { UploadTosContext } from '@/store/UploadTos/context'; +import { useCompositionStatus } from '@/hooks/useCompositionStatus'; +import { IconLoading, IconSend, IconUploadDelete, IconUploadImage } from '@/images'; +import { useClickOutside } from '@/hooks/useClickOutside'; + +interface Props { + /** + * 检索参数 + */ + value: QueryParamsType; + + /** + * 检索参数发生变化 + * @param value 检索参数 + * @returns void + * + */ + onChange: (value: QueryParamsType | ((query: QueryParamsType) => QueryParamsType)) => void; + + /** + * 是否自动聚焦在输入框 + * @default true + * @optional + */ + autoFocus: boolean; + + /** + * 处理发送事件 + * @required + */ + handleSend: () => void; + + /** + * 禁用展开和输入 + * + */ + + expandDisabled?: boolean; +} +/** + * 发送按钮 + * @param props + * @returns + */ +const SendButton: FC<{ active: boolean; onClick: () => void }> = ({ active, onClick }) => ( +
+ +
+); + +/** + * 消息输入框 + * @param props + * @constructor + */ +export const MessageInput = (props: Props) => { + const { text, image } = props.value; + const onChangeText = (text: string) => { + props.onChange(query => ({ text, image: query.image })); + }; + const onChangeImage = (image: ImageType | null) => { + props.onChange(query => ({ text: query.text, image })); + }; + const { isComposing, handleCompositionStart, handleCompositionEnd } = useCompositionStatus(); + const containerRef = useRef(null); + const textareaRef = useRef(null); + const [expanded, setExpanded] = useState(false); + const [uploadLoading, setUploadLoading] = useState(false); + const { uploadTos,getPreSignedUrl } = useContext(UploadTosContext); + const [triggerCanNotSendMessage, setTriggerCanNotSendMessage] = useState(false); + + const attachmentHeight = useMemo(() => { + if (!image) { + return 0; + } + return 104; + }, [image]); + + useEffect(() => { + const container = containerRef.current; + const textarea = textareaRef.current; + + if (container && textarea) { + // 容器上下边距 + const padding = + Number(getComputedStyle(container).paddingTop.replace('px', '')) + + Number(getComputedStyle(container).paddingBottom.replace('px', '')); + + // 按钮大小 + const buttonHeight = expanded ? 42 : 6; + + // 外部容器的最新高度，实际和原本高度一样，但是这样可以触发动画过渡 + const newHeight = textarea.scrollHeight + padding + buttonHeight + attachmentHeight; + container.style.height = `${newHeight}px`; + } + }, [image, attachmentHeight, expanded]); + + /** + * 折叠整体输入框 + * 注意只能输入框没有内容时调用，否则会导致内容展示不全 + * 此函数专注于样式处理 + */ + const toFold = useCallback(() => { + setExpanded(false); + // 恢复文本输入框高度 + if (textareaRef.current) { + textareaRef.current.style.height = '22px'; + } + + if (containerRef.current) { + containerRef.current.style.height = ''; + } + }, []); + + /** + * 是否可以发送消息，需要满足其中一个条件： + * 1. 文本有内容 + * 2. 图片上传完成 + */ + const activeSendButton = useMemo( + () => !uploadLoading && (Boolean(image) || text.length > 0), + [uploadLoading, text, image], + ); + + /** + * 处理发送消息逻辑 + */ + const handleSendMessage = useCallback(() => { + if (!activeSendButton) { + return; + } + props.handleSend(); + if (text || image) { + return; + } + toFold(); + }, [activeSendButton, props.handleSend, toFold, text, image]); + + /** + * 处理输入框内容变化 + * 当内容开始输入时，需要处理 UI 变化： + * 1. 输入框需要跟随内容变高 + * 2. 整体对话框高度需要进行实时计算，虽然计算结果和真实高度其实是一样的，但是，如果不进行计算，就无法得到实际高度 + * 缺少实际高度，就无法进行动画过渡 + * @param e + */ + const handleChange = (e: React.ChangeEvent) => { + const newMessage = e.target.value; + + // if (newMessage.length > props?.maxTokens) { + // setTriggerMaxTokens(true); + // newMessage = newMessage.slice(0, props?.maxTokens); + // } + + onChangeText(newMessage); + }; + + /** + * 处理文件上传 + */ + + const handleUpload = async (file: File) => { + if (file.size > 10 * 1024 * 1024) { + Message.error('图片大小不能超过10M'); + return; + } + setUploadLoading(true); + try { + const objectKey=`temp/${file.name}` + // 预展示 + onChangeImage({ + disPlayUrl: URL.createObjectURL(file), + objectKey + }); + + await uploadTos(file,objectKey,true) + + // 上传成功 + onChangeImage({ + disPlayUrl:await getPreSignedUrl(objectKey), + objectKey + }); + } catch { + // 上传失败 + onChangeImage(null); + Message.error('上传失败'); + } finally { + setUploadLoading(false); + } + }; + + /** + * 最终判断是否发送消息的逻辑 + * 通过区分是否正在输入中，避免拼写输入时的 Enter 触发发送消息 + * @param e + */ + const handleKeyDown = useCallback( + (e: React.KeyboardEvent) => { + if (isComposing) { + return; + } + + // 必须是只按下 Enter 才会发送，按住 any + enter / cmd + enter 等等其他无需处理 + if (e.key === 'Enter' && !e.shiftKey && !e.ctrlKey && !e.metaKey && !e.altKey) { + handleSendMessage(); + e.preventDefault(); + e.stopPropagation(); + } + }, + [isComposing, handleSendMessage], + ); + + /** + * 处理输入框聚焦 + * @param _ + */ + const handleFocus = useCallback(() => { + if (props?.expandDisabled) { + return; + } + setExpanded(true); + }, []); + + /** + * 处理输入框失焦，只有在没有文本时，才会折叠 + * @param _ + */ + const handleBlur = useCallback(() => { + if (text.length === 0 && !image) { + toFold(); + } + }, [text, image]); + + useEffect(() => { + if (props?.expandDisabled) { + return; + } + if (props?.autoFocus) { + textareaRef.current?.focus(); + setExpanded(true); + } + }, [props.autoFocus, props?.expandDisabled]); + + useEffect(() => { + if (text) { + handleFocus(); + } + if (!textareaRef.current) { + return; + } + const textarea = textareaRef.current; + // 浏览器为了减少重绘，默认情况不会更新 scrollHeight，这导致内容缩减也无法减少 scrollHeight + // 会将高度设置为 auto，然后再设置为真实高度，就能得到真实高度 + textarea.style.height = 'auto'; + const textareaHeight = textarea.scrollHeight; + const realTextAreaHeight = textareaHeight > 88 ? 88 : textareaHeight; + textarea.style.height = `${realTextAreaHeight}px`; + // 只有在大于 88 px 的时候，再出现滚动条 + if (realTextAreaHeight >= 88) { + textarea.style.overflowY = 'scroll'; + } else { + textarea.style.overflowY = 'hidden'; + } + + const container = containerRef.current; + + if (container) { + // 按钮大小 + const buttonHeight = expanded ? 42 : 6; + // 容器上下边距 + const padding = + Number(getComputedStyle(container).paddingTop.replace('px', '')) + + Number(getComputedStyle(container).paddingBottom.replace('px', '')); + + // 外部容器的最新高度，实际和原本高度一样，但是这样可以触发动画过渡 + const newHeight = realTextAreaHeight + padding + buttonHeight + attachmentHeight; + container.style.height = `${newHeight}px`; + } + }, [text]); + useClickOutside(containerRef.current, handleBlur); + + return ( +
handleFocus()} + id="message-input" + className={clsx( + `w-full relative self-stretch box-border px-4 pt-[10px] pb-[10px] bg-white rounded-lg border flex-col justify-start items-start gap-2 flex transition-all duration-300 overflow-y-hidden`, + expanded ? ' border-[#6C54FF]' : ' border-[#BDB8E5]', + props?.expandDisabled && 'bg-[#FCFDFE]', + expanded ? (image ? 'h-[178px]' : 'h-[110px]') : image ? 'h-[134px]' : 'h-[48px] ', + )} + ref={containerRef} + > + {image && ( +
+ + { + e.stopPropagation(); + onChangeImage(null); + }} + /> + {uploadLoading && ( +
+ +
+ )} +
+ )} + {Boolean(image) && ( +
+ +
+ )} +
+