diff --git a/README.md b/README.md index 47b8c9c16..ac71dee65 100644 --- a/README.md +++ b/README.md @@ -24,7 +24,7 @@ VisualDL, a visualization analysis tool of PaddlePaddle, provides a variety of charts to show the trends of parameters, and visualizes model structures, data samples, histograms of tensors, PR curves , ROC curves and high-dimensional data distributions. It enables users to understand the training process and the model structure more clearly and intuitively so as to optimize models efficiently. -VisualDL provides various visualization functions, including **tracking metrics in real-time, visualizing the model structure, displaying the data sample, visualizing the relationship between hyperparameters and model metrics, presenting the changes of distributions of tensors, showing the pr curves, projecting high-dimensional data to a lower dimensional space and more.** Additionally, VisualDL provides VDL.service, which enables developers easily to save, track and share visualization results of experiments. For specific guidelines of each function, please refer to [**VisualDL User Guide**](./docs/components/README.md). For up-to-date experience, please feel free to try our [**Online Demo**](https://www.paddlepaddle.org.cn/paddle/visualdl/demo). Currently, VisualDL iterates rapidly and new functions will be continuously added. +VisualDL provides various visualization functions, including **tracking metrics in real-time, visualizing the model structure, displaying the data sample, visualizing the relationship between hyperparameters and model metrics, presenting the changes of distributions of tensors, showing the pr curves, projecting high-dimensional data to a lower dimensional space, visualize the model and more.** Additionally, VisualDL provides VDL.service, which enables developers easily to save, track and share visualization results of experiments. For specific guidelines of each function, please refer to [**VisualDL User Guide**](./docs/components/README.md). For up-to-date experience, please feel free to try our [**Online Demo**](https://www.paddlepaddle.org.cn/paddle/visualdl/demo). Currently, VisualDL iterates rapidly and new functions will be continuously added. Browsers supported by VisualDL are: @@ -392,6 +392,108 @@ Developers can compare multiple experiments by specifying and uploading the path

+### Model Visual +The data distribution and key statistical information of each layer of the model network are visualized from multiple angles with rich views, which is convenient to quickly understand the rationality of the current model network design and realize the rapid positioning of model anomalies. + +

+ +

+ +The steps to use this function are as follows: + +#### 1、Random sampling of the network node data +Use the paddle1.8.5 versions which support to random sample of the network node data: http://gitlab.baidu.com/paddle-distributed/wheel/blob/master/release_1.8/paddle_whl_release_1.8.5_20210902.whl + + +```python +join_save_params = [] +for param in join_model._train_program.list_vars(): + if param.persistable: + if "_generat" not in param.name: + join_save_params.append(param.name) + if "fc_" in param.name or "conv_" in param.name: + join_save_params.append(param.name + "@GRAD") + elif "RENAME" not in param.name: + if "fc_" in param.name or "dropout_4.tmp_0" in param.name or "concat_" in param.name: + join_save_params.append(param.name) + if "sequence_pool_" in param.name and "tmp_1" not in param.name: + join_save_params.append(param.name) + +join_program._fleet_opt["dump_prob"] = 0.2 +join_program._fleet_opt["dump_fields"] = ["slot1", "slot2"] +join_program._fleet_opt["dump_param"] = join_save_params +join_program._fleet_opt["dump_fields_path"] = config.output_path + "/random_dump/join/" + config.start_day + "/" + "delta-%s" % pass_index + +#If there are multiple stages(like join\update) and each stage needs to dump, set its own dump_fields_path +update_model._train_program._fleet_opt["dump_fields_path"] = "%s/random_dump/update/%s/%s" % (config.output_path, day.data_day, '_'.join(datas)) +``` +Here is a full runnable demo reference: https://github.com/TsLu/PaddleDemo/blob/main/randump/random_dump.py +The format of random dump data is as follows: https://github.com/TsLu/PaddleDemo/blob/main/randump/random_dump/join/20211125/delta-1/part-000-00009 + +```python +#sample key \t neuron name:number of neuron nodes:output value of each neuron \t ... +dcefve concat_0.tmp_0:2:1:1 sequence_pool_6.tmp_0@GRAD:16:0:0:0:0:0:0:0:0:0:0:0:0:0:0:0:0 sequence_pool_3.tmp_0@GRAD:12:0:0:0:0:0:0:0:0:0:0:0:0 sequence_pool_1.tmp_0@GRAD:12:0:0:0:0:0:0:0:0:0:0:0:0 concat_0.tmp_0:2:1:1 user_emb:140:0.0983945:-0.402422:-0.304479:0.48722:-0.423722:0.49905:-0.36198:-0.141344:0.164492:0.203659:-0.166241:0.371955:-0.338783:-0.39251:0.158664:-0.133492:0.200509:-0.23503:-0.149515:-0.247849:0.0900903:-0.250218:-0.29327:-0.449013:-0.289186:-0.296609:0.36998:0.309947:0.468418:0.0150231:0.178822:-0.0795117:-0.108979:0.494221:-0.442487:-0.286313:0.391469:-0.39494:-0.162585:-0.158422:-0.182274:0.431848:-0.268552:-0.28416:0.333334:0.360513:0.318403:-0.364475:0.439969:-0.246897:0.0332158:0.358267:-0.0748573:-0.435962:-0.302861:-0.388489:0.271488:0.0127385:-0.0989884:-0.271535:-0.254238:-0.33684:0.389732:-0.222312:-0.20576:-0.253779:-0.166874:-0.19071:0.25096:0.105208:0.487118:-0.334612:-0.0503092:-0.473779:0.193285:0.0745487:-0.45893:-0.024402:0.0913379:-0.0261859:-0.0188701:0.120137:0.116529:-0.0141518:-0.119165:-0.198176:-0.159524:-0.378288:-0.341906:-0.128065:0.166849:-0.0154788:-0.177214:-0.287362:-0.239857:-0.136312:0.107463:0.356079:0.278596:0.117707:-0.162731:-0.198466:-0.175281:-0.00143227:-0.13731:-0.074105:-0.123823:-0.0376647:-0.11276:-0.0496815:-0.172825:-0.429263:0.0284473:0.182517:0.26848:-0.215857:0.349042:-0.373334:-0.218745:-0.0499232:0.155349:-0.123708:0.478668:-0.214383:0.494542:0.0422934:-0.452487:-0.014959:-0.0854984:-0.094967:-0.150888:0.483285:-0.365631:-0.366048:-0.47845:-0.282711:0.25745:0.367952:0.388146:0.188527 +``` + +#### 2、Using model visual to process sampled neuron datas +The data processing interface is used to process the neuron datas: +```python +from visualdl.thirdparty.process_data import ModelAnalysis +params = { + "hadoop_bin": "/home/work/hadoop/bin/hadoop", + "ugi": "**", + "debug_input": "afs://***/random_dump/join/20211015", + # "debug_input": "/home/work/testuser/visualdl/data/random_dump/join/20211028", #local dump data + "delta_num": "8", + "join_pbtxt": "/home/work/test_download/train/join_main_program.pbtxt", + "update_pbtxt": "/home/work/test_download/train/update_main_program.pbtxt" +} +model_analysis = ModelAnalysis(params) +model_analysis() +``` +Parameter details: +| parameter | meaning | +| --------------- | ------------------------------------------------------------ | +| hadoop_bin | If the data of the sampled datas stored on AFS, you need to specify the hadoop path. If it is a local path, you do not need to set| +| ugi | If the data of the sampled datas stored on AFS, you need to specify the hadoop ugi. If it is a local path, you do not need to set | +| debug_input | The data storage path of the sampled network datas, fill in the AFS path or local path | +| delta_num | Number of trained batches | +| join_pbtxt | Model trained join network, only local path | +| update_pbtxt | Model trained update network, only local path, If not has this stage, you don't have to fill it in | +| data_dir | The local folder path which is used to store the processed intermediate data | + + +#### 3、Check the network node data using visualdl +##### Use the command line to launch the VisualDL panel： +```python +visualdl --logdir --data_dir --host --port --cache-timeout --language --public-path --api-only +``` +Parameter details: +| parameter | meaning | +| --------------- | ------------------------------------------------------------ | +| --logdir | Set one or more directories of the log. All the logs in the paths or subdirectories will be displayed on the VisualDL Board indepentently. | +| --data_dir | The local folder path which is used to store the processed intermediate data，same whith the step2 | +| --host | Specify IP address. The default value is 127.0.0.1. Specify it as 0.0.0.0 or public IP address so that other machines can visit VisualDL Board.| +| --port | Set the port. The default value is 8040. | +| --cache-timeout | Cache time of the backend. During the cache time, the front end requests the same URL multiple times, and then the returned data are obtained from the cache. The default cache time is 20 seconds. | +| --language | The language of the VisualDL panel. Language can be specified as 'en' or 'zh', and the default is the language used by the browser. | +| --public-path | The URL path of the VisualDL panel. The default path is '/app', meaning that the access address is 'http://:/app'.| +| --api-only | Decide whether or not to provide only API. If this parameter is set, VisualDL will only provides API service without displaying the web page, and the API address is 'http://://api'. Additionally, If the public_path parameter is not specified, the default address is 'http://:/api'. | + +##### Launch in Python Script +Developers can start the VisualDL panel in Python script as follows: + +```python +visualdl.server.app.run(logdir, + data_dir="datapath", + host="127.0.0.1", + port=8080, + cache_timeout=20, + language=None, + public_path=None, + api_only=False, + open_browser=False) +``` ### VDL.service @@ -401,14 +503,13 @@ Developers can compare multiple experiments by specifying and uploading the path

- ## Frequently Asked Questions If you are confronted with some problems when using VisualDL, please refer to [our FAQs](./docs/faq.md). ## Contribution -VisualDL, in which Graph is powered by [Netron](https://github.com/lutzroeder/netron), is an open source project supported by [PaddlePaddle](https://www.paddlepaddle.org/) and [ECharts](https://echarts.apache.org/). +VisualDL, in which Graph is powered by [Netron](https://github.com/lutzroeder/netron) and [AntV G6](https://github.com/antvis/G6), is an open source project supported by [PaddlePaddle](https://www.paddlepaddle.org/) and [ECharts](https://echarts.apache.org/). Developers are warmly welcomed to use, comment and contribute. diff --git a/README_CN.md b/README_CN.md index f470dbbe1..e16cf4ca1 100644 --- a/README_CN.md +++ b/README_CN.md @@ -24,7 +24,7 @@ VisualDL是飞桨可视化分析工具，以丰富的图表呈现训练参数变化趋势、模型结构、数据样本、高维数据分布等。可帮助用户更清晰直观地理解深度学习模型训练过程及模型结构，进而实现高效的模型优化。 -VisualDL提供丰富的可视化功能，**支持标量、图结构、数据样本（图像、语音、文本）、超参数可视化、直方图、PR曲线、ROC曲线及高维数据降维呈现等诸多功能**，同时VisualDL提供可视化结果保存服务，通过VDL.service生成链接，保存并分享可视化结果。具体功能使用方式，请参见 [**VisualDL使用指南**](./docs/components/README_CN.md)。如欲体验最新特性，欢迎试用我们的[**在线演示系统**](https://www.paddlepaddle.org.cn/paddle/visualdl/demo)。项目正处于高速迭代中，敬请期待新组件的加入。 +VisualDL提供丰富的可视化功能，**支持标量、图结构、数据样本（图像、语音、文本）、超参数可视化、直方图、PR曲线、ROC曲线及高维数据降维呈现、模型可视化等诸多功能**，同时VisualDL提供可视化结果保存服务，通过VDL.service生成链接，保存并分享可视化结果。具体功能使用方式，请参见 [**VisualDL使用指南**](./docs/components/README_CN.md)。如欲体验最新特性，欢迎试用我们的[**在线演示系统**](https://www.paddlepaddle.org.cn/paddle/visualdl/demo)。项目正处于高速迭代中，敬请期待新组件的加入。 VisualDL支持浏览器： @@ -412,6 +412,125 @@ value: 3.1297709941864014

+### Model Visual + +以丰富的视图多角度低可视化模型网络各层数据的分布和关键统计信息，便于快速了解当前模型网络设计的合理性，实现快速定位模型异常问题。 + +

+ +

+ +在使用该功能的步骤如下： + +#### 1、随机采样落盘网络节点数据 + +paddle1.8.5版本支持随机采样落盘网络节点数据：http://gitlab.baidu.com/paddle-distributed/wheel/blob/master/release_1.8/paddle_whl_release_1.8.5_20210902.whl + +使用方法： + +```python +join_save_params = [] +for param in join_model._train_program.list_vars(): + if param.persistable: + if "_generat" not in param.name: + join_save_params.append(param.name) + if "fc_" in param.name or "conv_" in param.name: + join_save_params.append(param.name + "@GRAD") + elif "RENAME" not in param.name: + if "fc_" in param.name or "dropout_4.tmp_0" in param.name or "concat_" in param.name: + join_save_params.append(param.name) + if "sequence_pool_" in param.name and "tmp_1" not in param.name: + join_save_params.append(param.name) + +join_program._fleet_opt["dump_prob"] = 0.2 +join_program._fleet_opt["dump_fields"] = ["slot1", "slot2"] +join_program._fleet_opt["dump_param"] = join_save_params +join_program._fleet_opt["dump_fields_path"] = config.output_path + "/random_dump/join/" + config.start_day + "/" + "delta-%s" % pass_index + +#如果有多个阶段，每个阶段都要dump的话，需要在各自的train_from_dataset前设置不同的dump_fields_path +update_model._train_program._fleet_opt["dump_fields_path"] = "%s/random_dump/update/%s/%s" % (config.output_path, day.data_day, '_'.join(datas)) +``` + +完整可运行demo参考：https://github.com/TsLu/PaddleDemo/blob/main/randump/random_dump.py + +random dump出来的格式如下：https://github.com/TsLu/PaddleDemo/blob/main/randump/random_dump/join/20211125/delta-1/part-000-00009 + +截取部分数据说明如下： + +```python +#样本唯一标识\t神经元名称:神经元节点个数:每个神经元的输出值\t神经元名称:神经元节点个数:每个神经元的输出值 +dcefve concat_0.tmp_0:2:1:1 sequence_pool_6.tmp_0@GRAD:16:0:0:0:0:0:0:0:0:0:0:0:0:0:0:0:0 sequence_pool_3.tmp_0@GRAD:12:0:0:0:0:0:0:0:0:0:0:0:0 sequence_pool_1.tmp_0@GRAD:12:0:0:0:0:0:0:0:0:0:0:0:0 concat_0.tmp_0:2:1:1 user_emb:140:0.0983945:-0.402422:-0.304479:0.48722:-0.423722:0.49905:-0.36198:-0.141344:0.164492:0.203659:-0.166241:0.371955:-0.338783:-0.39251:0.158664:-0.133492:0.200509:-0.23503:-0.149515:-0.247849:0.0900903:-0.250218:-0.29327:-0.449013:-0.289186:-0.296609:0.36998:0.309947:0.468418:0.0150231:0.178822:-0.0795117:-0.108979:0.494221:-0.442487:-0.286313:0.391469:-0.39494:-0.162585:-0.158422:-0.182274:0.431848:-0.268552:-0.28416:0.333334:0.360513:0.318403:-0.364475:0.439969:-0.246897:0.0332158:0.358267:-0.0748573:-0.435962:-0.302861:-0.388489:0.271488:0.0127385:-0.0989884:-0.271535:-0.254238:-0.33684:0.389732:-0.222312:-0.20576:-0.253779:-0.166874:-0.19071:0.25096:0.105208:0.487118:-0.334612:-0.0503092:-0.473779:0.193285:0.0745487:-0.45893:-0.024402:0.0913379:-0.0261859:-0.0188701:0.120137:0.116529:-0.0141518:-0.119165:-0.198176:-0.159524:-0.378288:-0.341906:-0.128065:0.166849:-0.0154788:-0.177214:-0.287362:-0.239857:-0.136312:0.107463:0.356079:0.278596:0.117707:-0.162731:-0.198466:-0.175281:-0.00143227:-0.13731:-0.074105:-0.123823:-0.0376647:-0.11276:-0.0496815:-0.172825:-0.429263:0.0284473:0.182517:0.26848:-0.215857:0.349042:-0.373334:-0.218745:-0.0499232:0.155349:-0.123708:0.478668:-0.214383:0.494542:0.0422934:-0.452487:-0.014959:-0.0854984:-0.094967:-0.150888:0.483285:-0.365631:-0.366048:-0.47845:-0.282711:0.25745:0.367952:0.388146:0.188527 +``` + +#### 2、使用Model Visual处理采样落盘数据 + +采用数据处理接口进行落盘数据的分析处理： + +```python +from visualdl.thirdparty.process_data import ModelAnalysis +params = { + "hadoop_bin": "/home/work/hadoop/bin/hadoop", + "ugi": "**", + "debug_input": "afs://***/random_dump/join/20211015", + # "debug_input": "/home/work/testuser/visualdl/data/random_dump/join/20211028", #local dump data + "delta_num": "8", + "join_pbtxt": "/home/work/test_download/train/join_main_program.pbtxt", + "update_pbtxt": "/home/work/test_download/train/update_main_program.pbtxt" +} +model_analysis = ModelAnalysis(params) +model_analysis() +``` + +参数详情： + +| 参数 | 意义 | +| --------------- | ------------------------------------------------------------ | +| hadoop_bin | 如果采样落盘的数据是存在在afs上，需要指定本地hadoop路径，如果是本地路径不需要填 | +| ugi | 如果采样落盘的数据是存在在afs上，需要指定具有访问权限的ugi，如果是本地路径不需要填 | +| debug_input | 采样落盘的数据存储路径，填写afs路径或者本地路径 | +| delta_num | 训练的batch数 | +| join_pbtxt | 模型训练的join网络，本地路径 | +| update_pbtxt | 模型训练的update网络，本地路径，如果没有该阶段，则不填 | +| data_dir | 用于存储处理后的中间数据的文件夹路径 | + +#### 3、使用VisualDl查看网络节点数据 + +##### 命令行启动 + +使用命令行启动VisualDL面板，命令格式如下： + +```python +visualdl --logdir --data_dir --host --port --cache-timeout --language --public-path --api-only +``` + +参数详情： + +| 参数 | 意义 | +| --------------- | ------------------------------------------------------------ | +| --logdir | 设定日志所在目录，可以指定多个目录，VisualDL将遍历并且迭代寻找指定目录的子目录，将所有实验结果进行可视化 | +| --data_dir | 设定用于存储处理后的中间数据所在目录，与步骤2中一致 | +| --host | 设定IP，默认为`127.0.0.1`，若想使得本机以外的机器访问启动的VisualDL面板，需指定此项为`0.0.0.0`或自己的公网IP地址 | +| --port | 设定端口，默认为`8040` | +| --cache-timeout | 后端缓存时间，在缓存时间内前端多次请求同一url，返回的数据从缓存中获取，默认为20秒 | +| --language | VisualDL面板语言，可指定为'en'或'zh'，默认为浏览器使用语言 | +| --public-path | VisualDL面板URL路径，默认是'/app'，即访问地址为'http://<host>:<port>/app' | +| --api-only | 是否只提供API，如果设置此参数，则VisualDL不提供页面展示，只提供API服务，此时API地址为'http://<host>:<port>/<public_path>/api'；若没有设置public_path参数，则默认为'http://<host>:<port>/api' | + +##### 在Python脚本中启动 + +支持在Python脚本中启动Model VisualDL面板，接口如下： + +```python +visualdl.server.app.run(logdir, + data_dir="datapath", + host="127.0.0.1", + port=8080, + cache_timeout=20, + language=None, + public_path=None, + api_only=False, + open_browser=False) +``` ### VDL.service @@ -428,14 +547,14 @@ VisualDL可视化结果保存服务，以链接形式将可视化结果保存下 ## 近期活动更新 -- 2020.12.22 +- 2020.12.22 《手拆朋友圈斗图利器—『圣诞写真生成器』》b站直播中奖用户名单请点击[圣诞直播中奖名单](./docs/luckydraw.md)查看~ ## 开源贡献 VisualDL 是由 [PaddlePaddle](https://www.paddlepaddle.org/) 和 [ECharts](https://echarts.apache.org/) 合作推出的开源项目。 -Graph 相关功能由 [Netron](https://github.com/lutzroeder/netron) 提供技术支持。 +Graph 相关功能由 [Netron](https://github.com/lutzroeder/netron) 和 [AntV G6](https://github.com/antvis/G6) 提供技术支持。 欢迎所有人使用，提意见以及贡献代码。 diff --git a/docs/README.md b/docs/README.md index e8527a859..df1e384c3 100644 --- a/docs/README.md +++ b/docs/README.md @@ -278,6 +278,109 @@ Developers can compare with multiple experiments by specifying and uploading the

+### Model Visual +The data distribution and key statistical information of each layer of the model network are visualized from multiple angles with rich views, which is convenient to quickly understand the rationality of the current model network design and realize the rapid positioning of model anomalies. + +

+ +

+ +The steps to use this function are as follows: + +#### 1、Random sampling of the network node data +Use the paddle1.8.5 versions which support to random sample of the network node data: http://gitlab.baidu.com/paddle-distributed/wheel/blob/master/release_1.8/paddle_whl_release_1.8.5_20210902.whl + + +```python +join_save_params = [] +for param in join_model._train_program.list_vars(): + if param.persistable: + if "_generat" not in param.name: + join_save_params.append(param.name) + if "fc_" in param.name or "conv_" in param.name: + join_save_params.append(param.name + "@GRAD") + elif "RENAME" not in param.name: + if "fc_" in param.name or "dropout_4.tmp_0" in param.name or "concat_" in param.name: + join_save_params.append(param.name) + if "sequence_pool_" in param.name and "tmp_1" not in param.name: + join_save_params.append(param.name) + +join_program._fleet_opt["dump_prob"] = 0.2 +join_program._fleet_opt["dump_fields"] = ["slot1", "slot2"] +join_program._fleet_opt["dump_param"] = join_save_params +join_program._fleet_opt["dump_fields_path"] = config.output_path + "/random_dump/join/" + config.start_day + "/" + "delta-%s" % pass_index + +#If there are multiple stages(like join\update) and each stage needs to dump, set its own dump_fields_path +update_model._train_program._fleet_opt["dump_fields_path"] = "%s/random_dump/update/%s/%s" % (config.output_path, day.data_day, '_'.join(datas)) +``` +Here is a full runnable demo reference: https://github.com/TsLu/PaddleDemo/blob/main/randump/random_dump.py +The format of random dump data is as follows: https://github.com/TsLu/PaddleDemo/blob/main/randump/random_dump/join/20211125/delta-1/part-000-00009 + +```python +#sample key \t neuron name:number of neuron nodes:output value of each neuron \t ... +dcefve concat_0.tmp_0:2:1:1 sequence_pool_6.tmp_0@GRAD:16:0:0:0:0:0:0:0:0:0:0:0:0:0:0:0:0 sequence_pool_3.tmp_0@GRAD:12:0:0:0:0:0:0:0:0:0:0:0:0 sequence_pool_1.tmp_0@GRAD:12:0:0:0:0:0:0:0:0:0:0:0:0 concat_0.tmp_0:2:1:1 user_emb:140:0.0983945:-0.402422:-0.304479:0.48722:-0.423722:0.49905:-0.36198:-0.141344:0.164492:0.203659:-0.166241:0.371955:-0.338783:-0.39251:0.158664:-0.133492:0.200509:-0.23503:-0.149515:-0.247849:0.0900903:-0.250218:-0.29327:-0.449013:-0.289186:-0.296609:0.36998:0.309947:0.468418:0.0150231:0.178822:-0.0795117:-0.108979:0.494221:-0.442487:-0.286313:0.391469:-0.39494:-0.162585:-0.158422:-0.182274:0.431848:-0.268552:-0.28416:0.333334:0.360513:0.318403:-0.364475:0.439969:-0.246897:0.0332158:0.358267:-0.0748573:-0.435962:-0.302861:-0.388489:0.271488:0.0127385:-0.0989884:-0.271535:-0.254238:-0.33684:0.389732:-0.222312:-0.20576:-0.253779:-0.166874:-0.19071:0.25096:0.105208:0.487118:-0.334612:-0.0503092:-0.473779:0.193285:0.0745487:-0.45893:-0.024402:0.0913379:-0.0261859:-0.0188701:0.120137:0.116529:-0.0141518:-0.119165:-0.198176:-0.159524:-0.378288:-0.341906:-0.128065:0.166849:-0.0154788:-0.177214:-0.287362:-0.239857:-0.136312:0.107463:0.356079:0.278596:0.117707:-0.162731:-0.198466:-0.175281:-0.00143227:-0.13731:-0.074105:-0.123823:-0.0376647:-0.11276:-0.0496815:-0.172825:-0.429263:0.0284473:0.182517:0.26848:-0.215857:0.349042:-0.373334:-0.218745:-0.0499232:0.155349:-0.123708:0.478668:-0.214383:0.494542:0.0422934:-0.452487:-0.014959:-0.0854984:-0.094967:-0.150888:0.483285:-0.365631:-0.366048:-0.47845:-0.282711:0.25745:0.367952:0.388146:0.188527 +``` + +#### 2、Using model visual to process sampled neuron datas +The data processing interface is used to process the neuron datas: +```python +from visualdl.thirdparty.process_data import ModelAnalysis +params = { + "hadoop_bin": "/home/work/hadoop/bin/hadoop", + "ugi": "**", + "debug_input": "afs://***/random_dump/join/20211015", + # "debug_input": "/home/work/testuser/visualdl/data/random_dump/join/20211028", #local dump data + "delta_num": "8", + "join_pbtxt": "/home/work/test_download/train/join_main_program.pbtxt", + "update_pbtxt": "/home/work/test_download/train/update_main_program.pbtxt" +} +model_analysis = ModelAnalysis(params) +model_analysis() +``` +Parameter details: +| parameter | meaning | +| --------------- | ------------------------------------------------------------ | +| hadoop_bin | If the data of the sampled datas stored on AFS, you need to specify the hadoop path. If it is a local path, you do not need to set| +| ugi | If the data of the sampled datas stored on AFS, you need to specify the hadoop ugi. If it is a local path, you do not need to set | +| debug_input | The data storage path of the sampled network datas, fill in the AFS path or local path | +| delta_num | Number of trained batches | +| join_pbtxt | Model trained join network, only local path | +| update_pbtxt | Model trained update network, only local path, If not has this stage, you don't have to fill it in | +| data_dir | The local folder path which is used to store the processed intermediate data | + + +#### 3、Check the network node data using visualdl +##### Use the command line to launch the VisualDL panel： +```python +visualdl --logdir --data_dir --host --port --cache-timeout --language --public-path --api-only +``` +Parameter details: +| parameter | meaning | +| --------------- | ------------------------------------------------------------ | +| --logdir | Set one or more directories of the log. All the logs in the paths or subdirectories will be displayed on the VisualDL Board indepentently. | +| --data_dir | The local folder path which is used to store the processed intermediate data，same whith the step2 | +| --host | Specify IP address. The default value is 127.0.0.1. Specify it as 0.0.0.0 or public IP address so that other machines can visit VisualDL Board.| +| --port | Set the port. The default value is 8040. | +| --cache-timeout | Cache time of the backend. During the cache time, the front end requests the same URL multiple times, and then the returned data are obtained from the cache. The default cache time is 20 seconds. | +| --language | The language of the VisualDL panel. Language can be specified as 'en' or 'zh', and the default is the language used by the browser. | +| --public-path | The URL path of the VisualDL panel. The default path is '/app', meaning that the access address is 'http://:/app'.| +| --api-only | Decide whether or not to provide only API. If this parameter is set, VisualDL will only provides API service without displaying the web page, and the API address is 'http://://api'. Additionally, If the public_path parameter is not specified, the default address is 'http://:/api'. | + +##### Launch in Python Script +Developers can start the VisualDL panel in Python script as follows: + +```python +visualdl.server.app.run(logdir, + data_dir="datapath", + host="127.0.0.1", + port=8080, + cache_timeout=20, + language=None, + public_path=None, + api_only=False, + open_browser=False) +``` + ### VDL.service **VDL.service** enables developers to easily save, track and share visualization results with anyone for free. diff --git a/docs/README_CN.md b/docs/README_CN.md index 38a659e25..abcc4190d 100644 --- a/docs/README_CN.md +++ b/docs/README_CN.md @@ -295,6 +295,126 @@ app.run(logdir="./log")

+### Model Visual + +以丰富的视图多角度低可视化模型网络各层数据的分布和关键统计信息，便于快速了解当前模型网络设计的合理性，实现快速定位模型异常问题。 + +

+ +

+ +在使用该功能的步骤如下： + +#### 1、随机采样落盘网络节点数据 + +paddle1.8.5版本支持随机采样落盘网络节点数据：http://gitlab.baidu.com/paddle-distributed/wheel/blob/master/release_1.8/paddle_whl_release_1.8.5_20210902.whl + +使用方法： + +```python +join_save_params = [] +for param in join_model._train_program.list_vars(): + if param.persistable: + if "_generat" not in param.name: + join_save_params.append(param.name) + if "fc_" in param.name or "conv_" in param.name: + join_save_params.append(param.name + "@GRAD") + elif "RENAME" not in param.name: + if "fc_" in param.name or "dropout_4.tmp_0" in param.name or "concat_" in param.name: + join_save_params.append(param.name) + if "sequence_pool_" in param.name and "tmp_1" not in param.name: + join_save_params.append(param.name) + +join_program._fleet_opt["dump_prob"] = 0.2 +join_program._fleet_opt["dump_fields"] = ["slot1", "slot2"] +join_program._fleet_opt["dump_param"] = join_save_params +join_program._fleet_opt["dump_fields_path"] = config.output_path + "/random_dump/join/" + config.start_day + "/" + "delta-%s" % pass_index + +#如果有多个阶段，每个阶段都要dump的话，需要在各自的train_from_dataset前设置不同的dump_fields_path +update_model._train_program._fleet_opt["dump_fields_path"] = "%s/random_dump/update/%s/%s" % (config.output_path, day.data_day, '_'.join(datas)) +``` + +完整可运行demo参考：https://github.com/TsLu/PaddleDemo/blob/main/randump/random_dump.py + +random dump出来的格式如下：https://github.com/TsLu/PaddleDemo/blob/main/randump/random_dump/join/20211125/delta-1/part-000-00009 + +截取部分数据说明如下： + +```python +#样本唯一标识\t神经元名称:神经元节点个数:每个神经元的输出值\t神经元名称:神经元节点个数:每个神经元的输出值 +dcefve concat_0.tmp_0:2:1:1 sequence_pool_6.tmp_0@GRAD:16:0:0:0:0:0:0:0:0:0:0:0:0:0:0:0:0 sequence_pool_3.tmp_0@GRAD:12:0:0:0:0:0:0:0:0:0:0:0:0 sequence_pool_1.tmp_0@GRAD:12:0:0:0:0:0:0:0:0:0:0:0:0 concat_0.tmp_0:2:1:1 user_emb:140:0.0983945:-0.402422:-0.304479:0.48722:-0.423722:0.49905:-0.36198:-0.141344:0.164492:0.203659:-0.166241:0.371955:-0.338783:-0.39251:0.158664:-0.133492:0.200509:-0.23503:-0.149515:-0.247849:0.0900903:-0.250218:-0.29327:-0.449013:-0.289186:-0.296609:0.36998:0.309947:0.468418:0.0150231:0.178822:-0.0795117:-0.108979:0.494221:-0.442487:-0.286313:0.391469:-0.39494:-0.162585:-0.158422:-0.182274:0.431848:-0.268552:-0.28416:0.333334:0.360513:0.318403:-0.364475:0.439969:-0.246897:0.0332158:0.358267:-0.0748573:-0.435962:-0.302861:-0.388489:0.271488:0.0127385:-0.0989884:-0.271535:-0.254238:-0.33684:0.389732:-0.222312:-0.20576:-0.253779:-0.166874:-0.19071:0.25096:0.105208:0.487118:-0.334612:-0.0503092:-0.473779:0.193285:0.0745487:-0.45893:-0.024402:0.0913379:-0.0261859:-0.0188701:0.120137:0.116529:-0.0141518:-0.119165:-0.198176:-0.159524:-0.378288:-0.341906:-0.128065:0.166849:-0.0154788:-0.177214:-0.287362:-0.239857:-0.136312:0.107463:0.356079:0.278596:0.117707:-0.162731:-0.198466:-0.175281:-0.00143227:-0.13731:-0.074105:-0.123823:-0.0376647:-0.11276:-0.0496815:-0.172825:-0.429263:0.0284473:0.182517:0.26848:-0.215857:0.349042:-0.373334:-0.218745:-0.0499232:0.155349:-0.123708:0.478668:-0.214383:0.494542:0.0422934:-0.452487:-0.014959:-0.0854984:-0.094967:-0.150888:0.483285:-0.365631:-0.366048:-0.47845:-0.282711:0.25745:0.367952:0.388146:0.188527 +``` + +#### 2、使用Model Visual处理采样落盘数据 + +采用数据处理接口进行落盘数据的分析处理： + +```python +from visualdl.thirdparty.process_data import ModelAnalysis +params = { + "hadoop_bin": "/home/work/hadoop/bin/hadoop", + "ugi": "**", + "debug_input": "afs://***/random_dump/join/20211015", + # "debug_input": "/home/work/testuser/visualdl/data/random_dump/join/20211028", #local dump data + "delta_num": "8", + "join_pbtxt": "/home/work/test_download/train/join_main_program.pbtxt", + "update_pbtxt": "/home/work/test_download/train/update_main_program.pbtxt" +} +model_analysis = ModelAnalysis(params) +model_analysis() +``` + +参数详情： + +| 参数 | 意义 | +| --------------- | ------------------------------------------------------------ | +| hadoop_bin | 如果采样落盘的数据是存在在afs上，需要指定本地hadoop路径，如果是本地路径不需要填 | +| ugi | 如果采样落盘的数据是存在在afs上，需要指定具有访问权限的ugi，如果是本地路径不需要填 | +| debug_input | 采样落盘的数据存储路径，填写afs路径或者本地路径 | +| delta_num | 训练的batch数 | +| join_pbtxt | 模型训练的join网络，本地路径 | +| update_pbtxt | 模型训练的update网络，本地路径，如果没有该阶段，则不填 | +| data_dir | 用于存储处理后的中间数据的文件夹路径 | + +#### 3、使用VisualDl查看网络节点数据 + +##### 命令行启动 + +使用命令行启动VisualDL面板，命令格式如下： + +```python +visualdl --logdir --data_dir --host --port --cache-timeout --language --public-path --api-only +``` + +参数详情： + +| 参数 | 意义 | +| --------------- | ------------------------------------------------------------ | +| --logdir | 设定日志所在目录，可以指定多个目录，VisualDL将遍历并且迭代寻找指定目录的子目录，将所有实验结果进行可视化 | +| --data_dir | 设定用于存储处理后的中间数据所在目录，与步骤2中一致 | +| --host | 设定IP，默认为`127.0.0.1`，若想使得本机以外的机器访问启动的VisualDL面板，需指定此项为`0.0.0.0`或自己的公网IP地址 | +| --port | 设定端口，默认为`8040` | +| --cache-timeout | 后端缓存时间，在缓存时间内前端多次请求同一url，返回的数据从缓存中获取，默认为20秒 | +| --language | VisualDL面板语言，可指定为'en'或'zh'，默认为浏览器使用语言 | +| --public-path | VisualDL面板URL路径，默认是'/app'，即访问地址为'http://<host>:<port>/app' | +| --api-only | 是否只提供API，如果设置此参数，则VisualDL不提供页面展示，只提供API服务，此时API地址为'http://<host>:<port>/<public_path>/api'；若没有设置public_path参数，则默认为'http://<host>:<port>/api' | + +##### 在Python脚本中启动 + +支持在Python脚本中启动Model VisualDL面板，接口如下： + +```python +visualdl.server.app.run(logdir, + data_dir="datapath", + host="127.0.0.1", + port=8080, + cache_timeout=20, + language=None, + public_path=None, + api_only=False, + open_browser=False) +``` + ### VDL.service VisualDL可视化结果保存服务，以链接形式将可视化结果保存下来，方便用户快速、便捷的进行托管与分享。 diff --git a/frontend/README.md b/frontend/README.md index 791e44eb9..925b3a59d 100644 --- a/frontend/README.md +++ b/frontend/README.md @@ -115,9 +115,10 @@ This project is based on following projects: - [Snowpack](https://www.snowpack.dev/) - [wasm-pack](https://rustwasm.github.io/wasm-pack/) - [Netron](https://github.com/lutzroeder/netron) +- [AntV G6](https://github.com/antvis/G6) ## Author -
PeterPanZH
PeterPanZH		Niandalu
Niandalu
+
PeterPanZH
PeterPanZH		Niandalu
Niandalu		Niandalu
AuroraHuiyan
## License diff --git a/frontend/README_cn.md b/frontend/README_cn.md index a5e267d2b..39e15443e 100644 --- a/frontend/README_cn.md +++ b/frontend/README_cn.md @@ -115,9 +115,10 @@ VisualDL 支持最新版本的 [Google Chrome](https://www.google.com/chrome/) - [Snowpack](https://www.snowpack.dev/) - [wasm-pack](https://rustwasm.github.io/wasm-pack/) - [Netron](https://github.com/lutzroeder/netron) +- [AntV G6](https://github.com/antvis/G6) ## 作者 -
PeterPanZH
PeterPanZH		Niandalu
Niandalu
+
PeterPanZH
PeterPanZH		Niandalu
Niandalu		Niandalu
AuroraHuiyan
## 许可证 diff --git a/frontend/packages/core/package.json b/frontend/packages/core/package.json index e629d6a02..16b75f336 100644 --- a/frontend/packages/core/package.json +++ b/frontend/packages/core/package.json @@ -38,6 +38,7 @@ "dist" ], "dependencies": { + "@antv/g6": "^4.5.0", "@tippyjs/react": "4.2.5", "@visualdl/icons": "2.2.1", "@visualdl/netron": "2.2.1", @@ -120,6 +121,7 @@ "html-minifier": "4.0.0", "snowpack": "3.8.8", "snowpack-plugin-copy": "1.0.1", + "snowpack-plugin-files-handler": "^1.0.1", "typescript": "4.4.2" }, "engines": { diff --git a/frontend/packages/core/public/locales/en/common.json b/frontend/packages/core/public/locales/en/common.json index 2e72a4001..0aaa3d85f 100644 --- a/frontend/packages/core/public/locales/en/common.json +++ b/frontend/packages/core/public/locales/en/common.json @@ -18,6 +18,7 @@ "loading": "Please wait while loading data", "maximize": "Maximize", "minimize": "Minimize", + "model-visual": "Model Visual", "more": "More", "next-page": "Next Page", "pr-curve": "PR Curve", diff --git a/frontend/packages/core/public/locales/en/model-visual.json b/frontend/packages/core/public/locales/en/model-visual.json new file mode 100644 index 000000000..e9e0635ed --- /dev/null +++ b/frontend/packages/core/public/locales/en/model-visual.json @@ -0,0 +1,35 @@ +{ + "repaint": "Repaint", + "auto-repaint": "Auto Repaint", + "node-data": "Node Data", + "data-stage": "Stage", + "none-data": "none", + "node-id": "node id", + "node-pos": "node position", + "basic": "basic", + "avg": "avg", + "var": "variance", + "ab_avg": "absolute avg", + "zero": "zero", + "delta_num": "delta value", + "from": "From", + "to": "To", + "neuron": "Neuron", + "no-match": "No matching results", + "tabs": { + "basic": "Basic", + "index": "Index(normal)", + "indexGrad": "Index(grad)", + "num": "Num(normal)", + "numGrad": "Num(grad)", + "empty-data": "Empty Data" + }, + "tools": { + "behavior-controller": "Interactive Control", + "display-minimap": "display minimap", + "drag-canvas": "drag canvas", + "zoom-canvas": "zoom canvas", + "drag-node": "drag node", + "activate-relations": "show relations" + } +} \ No newline at end of file diff --git a/frontend/packages/core/public/locales/zh/common.json b/frontend/packages/core/public/locales/zh/common.json index 63644a578..94eb0e3ef 100644 --- a/frontend/packages/core/public/locales/zh/common.json +++ b/frontend/packages/core/public/locales/zh/common.json @@ -18,6 +18,7 @@ "loading": "数据载入中，请稍等", "maximize": "最大化", "minimize": "最小化", + "model-visual": "模型可视化", "more": "更多", "next-page": "下一页", "pr-curve": "PR曲线", diff --git a/frontend/packages/core/public/locales/zh/model-visual.json b/frontend/packages/core/public/locales/zh/model-visual.json new file mode 100644 index 000000000..aa0b888e7 --- /dev/null +++ b/frontend/packages/core/public/locales/zh/model-visual.json @@ -0,0 +1,35 @@ +{ + "repaint": "重绘", + "auto-repaint": "自动重绘", + "node-data": "节点数据", + "data-stage": "阶段", + "none-data": "无", + "node-id": "节点id", + "node-pos": "节点坐标", + "basic": "默认", + "avg": "均值", + "var": "方差", + "ab_avg": "绝对值均值", + "zero": "失活率", + "delta_num": "delta值", + "from": "从", + "to": "到", + "neuron": "神经元", + "no-match": "无匹配", + "tabs": { + "basic": "默认", + "index": "索引分布(正向)", + "indexGrad": "索引分布(梯度)", + "num": "数值分布(正向)", + "numGrad": "数值分布(梯度)", + "empty-data": "数据为空" + }, + "tools": { + "behavior-controller": "交互控制", + "display-minimap": "显示迷你图", + "drag-canvas": "拖拽画布", + "zoom-canvas": "缩放画布", + "drag-node": "拖拽节点", + "activate-relations": "显示节点关系" + } +} \ No newline at end of file diff --git a/frontend/packages/core/snowpack.config.js b/frontend/packages/core/snowpack.config.js index c505fb621..71fa85f84 100644 --- a/frontend/packages/core/snowpack.config.js +++ b/frontend/packages/core/snowpack.config.js @@ -35,6 +35,30 @@ function isWorkspace() { } } +function processGlVec2File(data) { + const content = data.toString(); + if (content.includes('/* snowpack-plugin-files-handler */')) { + return content; + } + let result = '/* snowpack-plugin-files-handler */\n'; + const lbi = content.indexOf('{'); + const rbi = content.indexOf('}'); + const requireTemplates = content + .slice(lbi + 1, rbi) + .replace(/\s*/g,'') + .replace(/:/g,' = ') + .split(',') + .map(item => `const ${item};`); + const exportTemplates = requireTemplates.map(item => + item.slice(item.indexOf('const')+6, item.indexOf('=')-1) + ); + requireTemplates.forEach(item => result += item + '\n'); + result += 'module.exports = {\n'; + exportTemplates.forEach(item => result += ' ' + item + ',\n'); + result += '};'; + return result; +} + const iconsPath = path.dirname(resolve.sync(cwd, '@visualdl/icons')); const netronPath = path.dirname(resolve.sync(cwd, '@visualdl/netron')); const wasmPath = path.dirname(resolve.sync(cwd, '@visualdl/wasm')); @@ -103,6 +127,18 @@ export default { } ] } + ], + [ + 'snowpack-plugin-files-handler', + { + opts: [ + { + target: 'gl-vec2/index.js', + handler: processGlVec2File, + exact: false + } + ] + } ] ], devOptions: { @@ -111,7 +147,15 @@ export default { }, packageOptions: { polyfillNode: true, - knownEntrypoints: ['chai', '@testing-library/react', 'fetch-mock/esm/client', 'react-is'] + knownEntrypoints: [ + 'chai', + '@testing-library/react', + 'fetch-mock/esm/client', + 'react-is', + 'gl-matrix/vec2', + 'gl-matrix/vec3', + 'gl-matrix' + ] }, buildOptions: { out: 'dist', diff --git a/frontend/packages/core/src/components/Drawer.tsx b/frontend/packages/core/src/components/Drawer.tsx new file mode 100644 index 000000000..45a943fc9 --- /dev/null +++ b/frontend/packages/core/src/components/Drawer.tsx @@ -0,0 +1,85 @@ +/** + * Copyright 2020 Baidu Inc. All Rights Reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * 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 React, {FunctionComponent} from 'react'; +import {WithStyled, rem, transitionProps, zIndexes} from '~/utils/style'; +import BodyLoading from '~/components/BodyLoading'; +import styled from 'styled-components'; + +const Section = styled.section.attrs<{showDrawer: boolean, width: string}>(({showDrawer, width}) => ({ + style: { + transform: showDrawer ? 'translateX(0)' : `translateX(-${width})` + } +}))<{showDrawer: boolean, width: string}>` + height: 100%; + position: absolute; + z-index: ${zIndexes.drawer}; + background-color: var(--background-color); + box-shadow: 0 5px 6px 0 rgba(0, 0, 0, 0.15); + ${transitionProps('transform')}; +`; + +const Title = styled.div` + height: ${rem(60)}; + font-size: ${rem(16)}; + display: flex; + justify-content: space-between; + align-items: center; + border-bottom: 1px solid var(--border-color); + margin: 0 ${rem(20)}; + ${transitionProps('border-color')} + + > .close { + flex: none; + color: var(--text-light-color); + cursor: pointer; + ${transitionProps('color')} + } +`; + +const Article = styled.article.attrs<{width: string}>(({width}) => ({ + style: { + width + } +}))<{width: string}>` + min-width: 300px; + height: calc(100% - ${rem(60)}); + padding: ${rem(20)}; + overflow: auto; +`; + +type DrawerProps = { + title?: string; + drawerWidth: string; + show: boolean; + loading?: boolean; +}; + +const Drawer: FunctionComponent = ({title, drawerWidth, show, children, loading, className}) => ( +
+ + <span>{title}</span> + +
{children}
+ {loading && } +
+); + +export default Drawer; diff --git a/frontend/packages/core/src/components/GraphG6.tsx b/frontend/packages/core/src/components/GraphG6.tsx new file mode 100644 index 000000000..e5cc25e32 --- /dev/null +++ b/frontend/packages/core/src/components/GraphG6.tsx @@ -0,0 +1,206 @@ +/** + * Copyright 2020 Baidu Inc. All Rights Reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * 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 React, {FunctionComponent, useState, useEffect, useRef, useCallback, useImperativeHandle} from 'react'; +import G6, {Graph, GraphData, GraphOptions, NodeConfig} from '@antv/g6'; +import styled from 'styled-components'; + +const GraphG6Container = styled.div` + width: 100%; + height: 100%; + overflow: hidden; + background: var(--background-color); +`; + +const MinimapContainer = styled.div.attrs<{minimapDisplay: boolean}>(({minimapDisplay}) => ({ + style: { + display: minimapDisplay ? 'block' : 'none' + } +}))<{minimapDisplay: boolean}>` + position: absolute; + top: 0; + right: 0; + border: 1px solid var(--border-color); + background: var(--background-focused-color); +`; + +export type NodeModel = { + id: string; + x?: number; + y?: number; + getModel?: () => unknown; +}; + +export enum ToolsType { + canvasDrag = 'drag-canvas', + canvasZoom = 'zoom-canvas', + nodeDrag = 'drag-node', + activateRelations = 'activate-relations' +}; +export interface GraphG6Method { + repaintGraphG6: () => unknown; +} + +type ToolsMap = { + [index in ToolsType]: boolean; +}; + +type GraphG6Props = { + graphG6Ref: React.MutableRefObject; + graphData: GraphData | null; + graphOptions: GraphOptions; + minimapDisplay: boolean; + toolsMap: ToolsMap; + locationId: string | null; + getSelectStatus: (isSelected: boolean) => unknown; + getNodeModel: (model: NodeModel) => unknown; + updateNodeData?: (model: NodeModel) => unknown; +}; + +const GraphG6: FunctionComponent = ({ + graphG6Ref, + graphData, + graphOptions, + minimapDisplay, + toolsMap, + locationId, + getSelectStatus, + getNodeModel, + updateNodeData +}) => { + const ref = useRef(null);; + + const [graph, setGraph] = useState(null); + + const loadGraph = useCallback( + () => { + if(!graph) { + setGraph(new G6.Graph({ + ...graphOptions, + plugins: [ + new G6.Minimap({ + container: 'GraphG6Minimap', + size: [225, 150] + }) + ] + })); + } + graph?.off('nodeselectchange', nodeSelectChange); + graph?.off('node:dragend', dragNodeUpdate); + graph?.on('nodeselectchange', nodeSelectChange); + graph?.on('node:dragend', dragNodeUpdate); + graphData && graph?.read(graphData); + return () => { + graph?.off('nodeselectchange', nodeSelectChange); + graph?.off('node:dragend', dragNodeUpdate); + } + }, + [graph, graphData, graphOptions] + ); + + const dragNodeUpdate = useCallback( + ev => { + const node = ev?.target ?? null; + if (node) { + const model = graph?.findById(node?.cfg?.parent?.cfg?.id)?.getModel() ?? null; + model && updateNodeData?.(model as NodeConfig ?? null); + } + }, + [graph] + ); + + const nodeSelectChange = useCallback( + ev => { + getSelectStatus(ev.select); + if (Boolean(ev.select)) { + const node = ev?.target ?? null; + node && getNodeModel(node?.getModel() ?? null); + } + }, + [] + ); + + const searchNodeLocation = useCallback( + (id: string) => { + graph?.focusItem(id, true, { + easing: 'easeCubic', + duration: 400 + }); + const node = graph?.findById(id); + if (node) { + const selectedNodes = graph?.findAllByState('node', 'selected') || []; + selectedNodes.forEach(node => node.setState('selected', false)); + node?.setState('selected', true); + getSelectStatus(true); + getNodeModel((node.getModel() as NodeConfig) ?? null); + } + }, + [graph] + ); + + useEffect( + () => { + graphOptions && loadGraph(); + }, + [graph, graphData, graphOptions] + ); + + useEffect( + () => { + if (graph) { + const addBehaviors = []; + const removeBehaviors = []; + toolsMap['drag-canvas'] ? addBehaviors.push('drag-canvas') : removeBehaviors.push('drag-canvas'); + toolsMap['zoom-canvas'] ? addBehaviors.push('zoom-canvas') : removeBehaviors.push('zoom-canvas'); + toolsMap['drag-node'] ? addBehaviors.push('drag-node') : removeBehaviors.push('drag-node'); + toolsMap['activate-relations'] ? addBehaviors.push('activate-relations') : removeBehaviors.push('activate-relations'); + graph.addBehaviors(addBehaviors, 'default'); + graph.removeBehaviors(removeBehaviors, 'default'); + } + }, + [graph, toolsMap] + ); + + useEffect( + () => { + locationId && searchNodeLocation(locationId); + }, + [locationId] + ); + + useImperativeHandle(graphG6Ref, () =>({ + repaintGraphG6: () => { + graph?.changeSize(0, 0); + const width = ref.current?.clientWidth; + const height = ref.current?.clientHeight; + (width && height) && graph?.changeSize(width, height); + } + })); + + return ( + + + + ); +} + +export default GraphG6; diff --git a/frontend/packages/core/src/components/LineChart.tsx b/frontend/packages/core/src/components/LineChart.tsx index eaa44a824..cc89f95bb 100644 --- a/frontend/packages/core/src/components/LineChart.tsx +++ b/frontend/packages/core/src/components/LineChart.tsx @@ -38,7 +38,8 @@ type LineChartProps = { export enum XAxisType { value = 'value', log = 'log', - time = 'time' + time = 'time', + category = 'category' } export enum YAxisType { @@ -86,6 +87,7 @@ const LineChart = React.forwardRef( let chartOptions: EChartOption = defaultsDeep( { + color: color, title: { text: title ?? '' }, diff --git a/frontend/packages/core/src/components/ModelVisualPage/GraphG6Controller.tsx b/frontend/packages/core/src/components/ModelVisualPage/GraphG6Controller.tsx new file mode 100644 index 000000000..929b7e92b --- /dev/null +++ b/frontend/packages/core/src/components/ModelVisualPage/GraphG6Controller.tsx @@ -0,0 +1,124 @@ +/** + * Copyright 2020 Baidu Inc. All Rights Reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * 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 React, {FunctionComponent, useState, useEffect} from 'react'; +import {ToolsType} from '~/components/GraphG6'; +import NodeSearch from '~/components/ModelVisualPage/NodeSearch'; +import Checkbox from '~/components/Checkbox'; +import {em} from '~/utils/style'; +import styled from 'styled-components'; +import {useTranslation} from 'react-i18next'; + +const Controller = styled.div` + width: 100%; + padding: ${em(10, 18)}; + margin-bottom: ${em(25, 18)}; +`; + +const BehaviorController = styled.div` + width: 100%; + border-bottom: 1px solid var(--border-color); + overflow: hidden; + + > .checkbox { + width: 100%; + margin: ${em(12, 18)} ${em(20, 18)}; + } +`; + +type GraphG6ControllerProps = { + searchList: string[]; + onSelect: (value: string) => unknown; + setMinimapDisplay: (value: boolean) => unknown; + setTools: (type: ToolsType, value: boolean) => unknown; +}; + +const GraphG6Controller: FunctionComponent = ({ + searchList, + onSelect, + setMinimapDisplay, + setTools, +}) => { + const {t} = useTranslation(['model-visual']); + const [canvasDrag, setCanvasDrag] = useState(true); + const [canvasZoom, setCanvasZoom] = useState(true); + const [nodeDrag, setNodeDrag] = useState(true); + const [activateRelations, setActivateRelations] = useState(false); + + useEffect( + () => { + setTools(ToolsType.canvasDrag, canvasDrag); + }, + [canvasDrag] + ); + + useEffect( + () => { + setTools(ToolsType.canvasZoom, canvasZoom); + }, + [canvasZoom] + ); + + useEffect( + () => { + setTools(ToolsType.nodeDrag, nodeDrag); + }, + [nodeDrag] + ); + + useEffect( + () => { + setTools(ToolsType.activateRelations, activateRelations); + }, + [activateRelations] + ); + + return ( + + + +

{t('model-visual:tools.behavior-controller')}

+
+ + {t('model-visual:tools.display-minimap')} + +
+
+ + {t('model-visual:tools.drag-canvas')} + +
+
+ + {t('model-visual:tools.zoom-canvas')} + +
+
+ + {t('model-visual:tools.drag-node')} + +
+
+ + {t('model-visual:tools.activate-relations')} + +
+ + + ); +}; + +export default GraphG6Controller; diff --git a/frontend/packages/core/src/components/ModelVisualPage/ModelVisualBarChart.tsx b/frontend/packages/core/src/components/ModelVisualPage/ModelVisualBarChart.tsx new file mode 100644 index 000000000..16bdc5c62 --- /dev/null +++ b/frontend/packages/core/src/components/ModelVisualPage/ModelVisualBarChart.tsx @@ -0,0 +1,152 @@ +/** + * Copyright 2020 Baidu Inc. All Rights Reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * 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 BarChart, {BarChartRef} from '~/components/BarChart'; +import React, {FunctionComponent, useMemo, useRef} from 'react'; +import {rem, size} from '~/utils/style'; + +import Chart from '~/components/Chart'; +import ChartToolbox from '~/components/ChartToolbox'; +import type {EChartOption} from 'echarts'; +import styled from 'styled-components'; +import {useTranslation} from 'react-i18next'; + +const Wrapper = styled.div` + ${size('100%', '100%')} + display: flex; + flex-direction: column; + align-items: stretch; + justify-content: space-between; +`; + +const StyledBarChart = styled(BarChart)` + flex-grow: 1; +`; + +const Toolbox = styled(ChartToolbox)` + margin-left: ${rem(20)}; + margin-right: ${rem(20)}; + margin-bottom: ${rem(18)}; +`; + +export const chartSize = { + width: 430, + height: 337 +}; +export const chartSizeInRem = { + width: rem(chartSize.width), + height: rem(chartSize.height) +}; + +export const DownloadDataTypes = { + csv: 'csv', + tsv: 'tsv' +} as const; + + +export type ModelVisualBarChartProps = { + title: string; + data: EChartOption.SeriesBar[]; + loading: boolean; + xConfig?: EChartOption.XAxis; + yConfig?: EChartOption.YAxis; + tooltip?: EChartOption.Tooltip; + downloadData?: (type: keyof typeof DownloadDataTypes) => void; +}; + +const ModelVisualBarChart: FunctionComponent = ({ + title, + data, + loading, + xConfig, + yConfig, + tooltip, + downloadData +}) => { + const {t} = useTranslation('common'); + + const echart = useRef(null); + + const options = useMemo( + () => ({ + legend: { + data: [] + }, + grid: { + bottom: '20%' + }, + dataZoom: [ + { + type: 'inside', + zoomLock: true + }, + { + start: 0 + } + ], + tooltip: tooltip ?? { + hideDelay: 300, + enterable: true + }, + xAxis: { + ...xConfig + }, + yAxis: { + ...yConfig + } + }), + [xConfig, yConfig] + ); + + const toolbox = useMemo( + () => [ + { + icon: 'download', + menuList: [ + { + label: t('common:download-image'), + onClick: () => echart.current?.saveAsImage() + }, + ...(downloadData + ? [ + { + label: t('common:download-data'), + children: Object.keys(DownloadDataTypes) + .sort((a, b) => a.localeCompare(b)) + .map(format => ({ + label: t('common:download-data-format', {format}), + onClick: () => downloadData(format as keyof typeof DownloadDataTypes) + })) + } + ] + : []) + ] + } + ], + [downloadData, t] + ); + + return ( + + + + + + + ); +}; + +export default ModelVisualBarChart; diff --git a/frontend/packages/core/src/components/ModelVisualPage/ModelVisualChartPanel.tsx b/frontend/packages/core/src/components/ModelVisualPage/ModelVisualChartPanel.tsx new file mode 100644 index 000000000..e9a66ed1c --- /dev/null +++ b/frontend/packages/core/src/components/ModelVisualPage/ModelVisualChartPanel.tsx @@ -0,0 +1,120 @@ +/** + * Copyright 2020 Baidu Inc. All Rights Reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * 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 React, {FunctionComponent, useState, useMemo} from 'react'; + +import {primaryColor, rem, transitionProps} from '~/utils/style'; +import GridLoader from 'react-spinners/GridLoader'; +import Tab from '~/components/Tab'; +import ModelVisualLineChart, { + ModelVisualLineChartProps +} from '~/components/ModelVisualPage/ModelVisualLineChart'; +import ModelVisualBarChart, { + ModelVisualBarChartProps +} from '~/components/ModelVisualPage/ModelVisualBarChart'; +import styled from 'styled-components'; +import {useTranslation} from 'react-i18next'; + +export enum ChartType { + line = 'line', + bar = 'bar' +} + +export type ChartOptions = { + type: ChartType; + config: ModelVisualLineChartProps | ModelVisualBarChartProps; +}; + +export type CollapseOptions = { + [index: string]: ChartOptions[]; +}; + +export type TabLoading = { + [index: string]: boolean; +}; + +type ModelVisualChartPanelProps = { + chartGroup: CollapseOptions; + tabLoading: TabLoading; +}; + +const Loading = styled.div` + width: 100%; + height: 90%; + display: flex; + justify-content: center; + align-items: center; +`; + +const Empty = styled.div` + padding: ${rem(100)} 0; + text-align: center; + color: var(--text-light-color); + ${transitionProps('color')} +`; + +const ModelVisualChartPanel: FunctionComponent = ({chartGroup, tabLoading}) => { + const {t} = useTranslation(['model-visual', 'common']); + + const tabs = useMemo( + () => + ['basic', 'index', 'indexGrad', 'num', 'numGrad'].map(value => ({ + value, + label: t(`model-visual:tabs.${value}`) + })), + [t] + ); + + const [tabView, setTabView] = useState(tabs[0].value); + + return ( + <> + + { + tabLoading[tabView] + ? + + + : chartGroup[tabView].length + ? chartGroup[tabView].map((item: ChartOptions, idx: number) => { + if(item.type == 'line') { + return + } + else if (item.type == 'bar'){ + return + } + else { + return null; + } + }) + : {t('model-visual:tabs.empty-data')} + } + + ); +}; + +export default ModelVisualChartPanel; diff --git a/frontend/packages/core/src/components/ModelVisualPage/ModelVisualLineChart.tsx b/frontend/packages/core/src/components/ModelVisualPage/ModelVisualLineChart.tsx new file mode 100644 index 000000000..dbc8f400e --- /dev/null +++ b/frontend/packages/core/src/components/ModelVisualPage/ModelVisualLineChart.tsx @@ -0,0 +1,165 @@ +/** + * Copyright 2020 Baidu Inc. All Rights Reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * 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 LineChart, {LineChartRef, XAxisType, YAxisType} from '~/components/LineChart'; +import React, {FunctionComponent, useCallback, useMemo, useRef, useState} from 'react'; +import {rem, size} from '~/utils/style'; + +import Chart from '~/components/Chart'; +import ChartToolbox from '~/components/ChartToolbox'; +import type {EChartOption} from 'echarts'; +import styled from 'styled-components'; +import {useTranslation} from 'react-i18next'; + +const Wrapper = styled.div` + ${size('100%', '100%')} + display: flex; + flex-direction: column; + align-items: stretch; + justify-content: space-between; +`; + +const StyledLineChart = styled(LineChart)` + flex-grow: 1; +`; + +const Toolbox = styled(ChartToolbox)` + margin-left: ${rem(20)}; + margin-right: ${rem(20)}; + margin-bottom: ${rem(18)}; +`; + +export const chartSize = { + width: 430, + height: 337 +}; +export const chartSizeInRem = { + width: rem(chartSize.width), + height: rem(chartSize.height) +}; + +export const DownloadDataTypes = { + csv: 'csv', + tsv: 'tsv' + // excel: 'xlsx' +} as const; + +export type ModelVisualLineChartProps = { + title: string; + data: EChartOption.SeriesLine[]; + legendData?: string[], + loading: boolean; + xAxisType?: XAxisType; + xConfig?: EChartOption.XAxis; + yConfig?: EChartOption.YAxis; + downloadData?: (type: keyof typeof DownloadDataTypes) => void; +}; + +const ModelVisualLineChart: FunctionComponent = ({ + title, + data, + legendData, + loading, + xAxisType, + xConfig, + yConfig, + downloadData +}) => { + const {t} = useTranslation('common'); + + const echart = useRef(null); + + const [yAxisType, setYAxisType] = useState(YAxisType.value); + const toggleYAxisType = useCallback(() => { + setYAxisType(t => (t === YAxisType.log ? YAxisType.value : YAxisType.log)); + }, [setYAxisType]); + + const options = useMemo( + () => ({ + legend: { + data: legendData ?? [], + top: '11%', + textStyle: { + color: 'auto' + } + }, + grid: { + bottom: '20%' + }, + dataZoom: [ + { + type: 'inside', + zoomLock: true + }, + { + start: 0 + } + ], + tooltip: { + hideDelay: 300, + enterable: true + }, + xAxis: { + type: xAxisType ?? XAxisType.category, + ...xConfig + }, + yAxis: { + type: yAxisType, + ...yConfig + } + }), + [xAxisType, xConfig, yConfig] + ); + + const toolbox = useMemo( + () => [ + { + icon: 'download', + menuList: [ + { + label: t('common:download-image'), + onClick: () => echart.current?.saveAsImage() + }, + ...(downloadData + ? [ + { + label: t('common:download-data'), + children: Object.keys(DownloadDataTypes) + .sort((a, b) => a.localeCompare(b)) + .map(format => ({ + label: t('common:download-data-format', {format}), + onClick: () => downloadData(format as keyof typeof DownloadDataTypes) + })) + } + ] + : []) + ] + } + ], + [downloadData, toggleYAxisType, t] + ); + + return ( + + + + + + + ); +}; + +export default ModelVisualLineChart; diff --git a/frontend/packages/core/src/components/ModelVisualPage/ModelVisualSidebar.tsx b/frontend/packages/core/src/components/ModelVisualPage/ModelVisualSidebar.tsx new file mode 100644 index 000000000..8c6d57518 --- /dev/null +++ b/frontend/packages/core/src/components/ModelVisualPage/ModelVisualSidebar.tsx @@ -0,0 +1,66 @@ +/** + * Copyright 2020 Baidu Inc. All Rights Reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * 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 React, {FunctionComponent} from 'react'; +import {rem, transitionProps} from '~/utils/style'; + +import styled from 'styled-components'; + +const Sidebar = styled.div` + height: 100%; + background-color: var(--background-color); +`; + +const Title = styled.div` + height: ${rem(60)}; + font-size: ${rem(16)}; + display: flex; + justify-content: space-between; + align-items: center; + border-bottom: 1px solid var(--border-color); + margin: 0 ${rem(20)}; + ${transitionProps('border-color')} + + > .close { + flex: none; + color: var(--text-light-color); + cursor: pointer; + ${transitionProps('color')} + } +`; + +const Content = styled.div` + padding: ${rem(20)}; + height: calc(100% - ${rem(60)}); + overflow: auto; +`; + +type ModelVisualSidebarProps = { + title: string; +}; + +const ModelVisualSidebar: FunctionComponent = ({title, children}) => { + return ( + + + <span>{title}</span> + + {children} + + ); +}; + +export default ModelVisualSidebar; diff --git a/frontend/packages/core/src/components/ModelVisualPage/NodeSearch.tsx b/frontend/packages/core/src/components/ModelVisualPage/NodeSearch.tsx new file mode 100644 index 000000000..bf6cb1057 --- /dev/null +++ b/frontend/packages/core/src/components/ModelVisualPage/NodeSearch.tsx @@ -0,0 +1,159 @@ +/** + * Copyright 2020 Baidu Inc. All Rights Reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * 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 React, {FunctionComponent, useCallback, useEffect, useState} from 'react'; +import {ellipsis, em, rem, zIndexes, transitionProps} from '~/utils/style'; + +import Field from '~/components/Field'; +import SearchInput from '~/components/SearchInput'; +import styled from 'styled-components'; +import {useTranslation} from 'react-i18next'; + +const SearchSection = styled.section` + width: 100%; + position: relative; +`; + +const SearchField = styled(Field)` + margin-bottom: ${rem(10)}; + display: flex; + justify-content: space-between; + align-items: center; + + > :first-child { + flex: auto; + } + + > a:last-child { + color: var(--primary-color); + cursor: pointer; + margin-left: ${rem(10)}; + flex: none; + ${transitionProps('color')} + } +`; + +const Empty = styled.div` + width: 100%; + padding: ${rem(100)} 0; + text-align: center; + position: absolute; + z-index: ${zIndexes.dialog}; + color: var(--text-light-color); + background-color: var(--background-color); + border-bottom: 1px solid var(--border-color); + ${transitionProps('color')} +`; + +const Wrapper = styled.div` + width: 100%; + max-height: 250px; + overflow-y: auto; + position: absolute; + z-index: ${zIndexes.dialog}; + border-bottom: 1px solid var(--border-color); + box-shadow: 0 -${rem(5)} ${rem(16)} 0 rgba(0, 0, 0, 0.03); +`; + +const List = styled.ul` + list-style: none; + margin: 0; + padding: 0; +`; + +const Item = styled.li` + width: 100%; + padding: ${em(10)} ${em(12)}; + display: flex; + align-items: center; + cursor: pointer; + background-color: var(--background-color); + ${transitionProps('background-color')} + + > span { + flex: auto; + margin-left: ${em(10)}; + ${ellipsis()} + } + + &:hover { + background-color: var(--background-focused-color); + } +`; + +type NodeSearchProps = { + text?: string; + searchList: string[]; + onChange?: (value: string) => unknown; + onSelect?: (item: string) => unknown; +}; + +const NodeSearch: FunctionComponent = ({text, searchList, onChange, onSelect}) => { + const {t} = useTranslation(['model-visual', 'common']); + + const [search, setSearch] = useState(text ?? ''); + const [searching, setSearching] = useState(false); + + useEffect(() => setSearch(text ?? ''), [text]); + + const cancel = useCallback( + () => { + setSearch(''); + onChange?.(''); + onSelect?.(''); + setSearching(false); + }, + [onChange] + ); + + return ( + + + setSearching(true)} + /> + {searching && {t('common:cancel')}} + + {searching && + (searchList.length ? ( + + + { + searchList + .filter(item => (item.includes(search))) + .map((item, idx) => ( + { + onSelect?.(item); + setSearch(item); + setSearching(false); + }}> + {item} + + )) + } + + + ) : ( + {t('model-visual:no-match')} + ))} + + ); +}; + +export default NodeSearch; diff --git a/frontend/packages/core/src/components/ModelVisualPage/NodeTag.tsx b/frontend/packages/core/src/components/ModelVisualPage/NodeTag.tsx new file mode 100644 index 000000000..14c832605 --- /dev/null +++ b/frontend/packages/core/src/components/ModelVisualPage/NodeTag.tsx @@ -0,0 +1,137 @@ +/** + * Copyright 2020 Baidu Inc. All Rights Reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * 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 React, {FunctionComponent, useState} from 'react'; +import {em, transitionProps} from '~/utils/style'; +import Field from '~/components/Field'; +import RadioGroup from '~/components/RadioGroup'; +import RadioButton from '~/components/RadioButton'; +import styled from 'styled-components'; +import {useTranslation} from 'react-i18next'; + +const Tag = styled.div` + width: 100%; + border-bottom: 1px solid var(--border-color); + + > .panel { + + > .panel-header { + padding: 0 ${em(10, 18)}; + margin: ${em(10, 18)} 0; + height: ${em(30, 18)}; + display: flex; + justify-content: space-between; + align-items: center; + ${transitionProps('background-color')} + + > .panel-title { + font-size: ${em(20, 18)}; + } + } + + > .panel-body { + padding: ${em(10)}; + background-color: var(--background-color); + overflow: auto; + + > .panel-title { + font-size: ${em(20, 18)}; + } + + > p { + margin: ${em(15)}; + + > .panel-label { + margin-right: ${em(10)}; + } + > span { + word-break: break-all; + } + } + } + } +`; + +const StyledField = styled(Field)` + width: 130px; + display: flex; + justify-content: space-between; +`; + +export type NodeData = { + id?: string | number; + x?: number; + y?: number; +}; + +type NodeTagProps = { + data?: NodeData | null; + switchStep: (value: string) => unknown; +}; + +const NodeTag: FunctionComponent = ({data, switchStep}) => { + const {t} = useTranslation('model-visual'); + + const [radioValue, setRadioValue] = useState('join'); + + if (!data) { + return null; + } + + const { + id, x, y + } = data; + + return ( + +
+
+ {t('model-visual:data-stage')} + + { + setRadioValue(value); + switchStep(value); + } + } + > + + join + + + update + + + +
+
+ {t('model-visual:node-data')} +

+ {t('model-visual:node-id')}: + {id || t('model-visual:none-data')} +

+

+ {t('model-visual:node-pos')}: + {(x && y) ? `[${x}, ${y}]` : t('model-visual:none-data')} +

+
+
+ + ); +}; + +export default NodeTag; diff --git a/frontend/packages/core/src/components/Navbar.tsx b/frontend/packages/core/src/components/Navbar.tsx index dd3637ffb..5fad16bb8 100644 --- a/frontend/packages/core/src/components/Navbar.tsx +++ b/frontend/packages/core/src/components/Navbar.tsx @@ -38,7 +38,7 @@ const BASE_URI: string = import.meta.env.SNOWPACK_PUBLIC_BASE_URI; const PUBLIC_PATH: string = import.meta.env.SNOWPACK_PUBLIC_PATH; const API_TOKEN_KEY: string = import.meta.env.SNOWPACK_PUBLIC_API_TOKEN_KEY; -const MAX_ITEM_COUNT_IN_NAVBAR = 6; +const MAX_ITEM_COUNT_IN_NAVBAR = 7; const flatten = (routes: T[]) => { const result: Omit[] = []; diff --git a/frontend/packages/core/src/components/Tab.tsx b/frontend/packages/core/src/components/Tab.tsx index 61183904a..4c5ef591f 100644 --- a/frontend/packages/core/src/components/Tab.tsx +++ b/frontend/packages/core/src/components/Tab.tsx @@ -20,7 +20,11 @@ import {WithStyled, borderRadius, rem, transitionProps} from '~/utils/style'; import styled from 'styled-components'; import useClassNames from '~/hooks/useClassNames'; -const Wrapper = styled.div` +const Wrapper = styled.div.attrs<{size: number}>(({size}) => ({ + style: { + fontSize: `${rem(size)}` + } +}))<{size: number}>` display: flex; align-items: stretch; justify-content: flex-start; @@ -36,7 +40,6 @@ const Wrapper = styled.div` > a { cursor: pointer; display: block; - font-size: ${rem(16)}; background-color: var(--tab-inactive-background-color); padding: 0.75em 1.25em; position: relative; @@ -104,6 +107,7 @@ export type TabProps = { label: string; }[]; value?: T; + size?: number; variant?: 'fullWidth' | 'centered'; appearance?: 'underscore'; onChange?: (value: T) => unknown; @@ -112,6 +116,7 @@ export type TabProps = { const Tab = ({ list, value, + size, variant, appearance, className, @@ -132,7 +137,7 @@ const Tab = ({ const classNames = useClassNames(className, variant, appearance, [appearance, className, variant]); return ( - + {list?.map((item, index) => ( .checkbox { + width: 300px; + } +`; + +const FullWidthButton = styled(Button)` + width: 100%; +`; + +const ModelVisual: FunctionComponent = () => { + const {t} = useTranslation(['model-visual', 'common']); + + const graphG6Ref = useRef({ + repaintGraphG6: () => {} + }); + + const [pageLoading, setPageLoading] = useState(true); + const [autoRepaint, setAutoRepaint] = useState(true); + const [requestStage, setRequestStage] = useState('join'); + const [requestNodeId, setRequestNodeId] = useState(null); + const [graphData, setGraphData] = useState(null); + const [nodeData, setNodeData] = useState(null); + const [graphOptions, setGraphOptions] = useState({ + container: 'GraphG6', + modes: { + default: ['click-select'] + }, + defaultNode: { + type: 'rect', + style: { + fill: '#1527c2', + stroke: null + }, + labelCfg: { + style: { + fill: '#fff', + fontSize: 13 + } + } + }, + nodeStateStyles: { + selected: { + fill: '#4169e1', + stroke: null, + shadowColor: '', + 'text-shape': { + fill: '#fff' + } + }, + active: { + fill: '#1527c2', + stroke: null, + shadowColor: '' + }, + inactive: { + fill: '', + stroke: null, + shadowColor: '', + 'text-shape': { + fill: null + } + } + }, + defaultEdge: { + type: 'cubic-horizontal', + size: 2, + style: { + endArrow: true, + radius: 40, + stroke: '#4169e1', + fill: null + } + }, + edgeStateStyles: { + selected: { + stroke: '#4169e1', + lineWidth: 2 + }, + active: { + stroke: '#4169e1', + lineWidth: 2 + }, + inactive: { + stroke: '', + lineWidth: 2 + } + }, + layout: { + type: 'dagre', + rankdir: 'BT', + controlPoints: true, + nodesepFunc: (d: {label: string | any[];}) => { + return d.label.length * 3.2; + }, + ranksepFunc: () => 1, + }, + fitCenter: true + }); + const [minimapDisplay, setMinimapDisplay] = useState(true); + const [toolsMap, setToolsMap] = useState<{[index in ToolsType]: boolean;}>({ + "drag-canvas": false, + "zoom-canvas": false, + "drag-node": false, + "activate-relations": false + }); + const [nodeModel, setNodeModel] = useState(null); + const [showDrawer, setShowDrawer] = useState(false); + const [chartGroup, setChartGroup] = useState({}); + const [tabLoading, setTabLoading] = useState({ + 'basic': true, + 'index': true, + 'indexGrad': true, + 'num': true, + 'numGrad': true + }); + const [searchList, setSearchList] = useState([]); + const [locationNodeId, setLocationNodeId] = useState(null); + + const {data: graphRequestData} = useRequest( + `/model/network?stage=${requestStage}` + ); + const {data: nodebasicRequestData} = useRequest( + requestNodeId ? `/model/nodebasic?stage=${requestStage}&node=${requestNodeId}` : null + ); + const {data: nodedetailIndexGradRequestData} = useRequest( + requestNodeId ? `/model/nodedetail?stage=${requestStage}&node=${requestNodeId}@GRAD&type=1` : null + ); + const {data: nodedetailNumGradRequestData} = useRequest( + requestNodeId ? `/model/nodedetail?stage=${requestStage}&node=${requestNodeId}@GRAD&type=2` : null + ); + const {data: nodedetailIndexRequestData} = useRequest( + requestNodeId ? `/model/nodedetail?stage=${requestStage}&node=${requestNodeId}&type=1` : null + ); + const {data: nodedetailNumRequestData} = useRequest( + requestNodeId ? `/model/nodedetail?stage=${requestStage}&node=${requestNodeId}&type=2` : null + ); + + + useEffect( + () => { + setPageLoading(true); + Object.keys(tabLoading).forEach(key => tabLoading[key] = true); + setTabLoading({...tabLoading}); + }, + [requestStage] + ); + + useEffect( + () => { + window.removeEventListener('resize', repaintGraph); + autoRepaint && window.addEventListener('resize', repaintGraph); + return () => { + window.removeEventListener('resize', repaintGraph); + }; + }, + [autoRepaint] + ); + + useEffect( + () => { + Object.keys(tabLoading).forEach(key => tabLoading[key] = true); + setTabLoading({...tabLoading}); + }, + [requestNodeId] + ); + + useEffect( + () => { + Array.isArray(graphRequestData) && graphRequestData.length && setNodeGraphData(graphRequestData); + graphRequestData && setPageLoading(false); + }, + [graphRequestData] + ); + + useEffect( + () => { + const id = nodeModel?.id || null; + setNodeData({ + id: id ?? undefined, + x: nodeModel?.x ? Math.floor(nodeModel?.x) : undefined, + y: nodeModel?.y ? Math.floor(nodeModel?.y) : undefined + }); + setRequestNodeId(id); + }, + [nodeModel, t] + ); + + useEffect( + () => { + nodebasicRequestData && setNodeBasicData(); + }, + [nodebasicRequestData, t] + ); + + useEffect( + () => { + nodedetailIndexRequestData && setNodeDetailIndexData(false); + }, + [nodedetailIndexRequestData, t] + ); + + useEffect( + () => { + nodedetailNumRequestData && setNodeDetailNumData(false); + }, + [nodedetailNumRequestData, t] + ); + + useEffect( + () => { + nodedetailIndexGradRequestData && setNodeDetailIndexData(true); + }, + [nodedetailIndexGradRequestData, t] + ); + + useEffect( + () => { + nodedetailNumGradRequestData && setNodeDetailNumData(true); + }, + [nodedetailNumGradRequestData, t] + ); + + const setNodeGraphData = useCallback( + (originalData: GraphRequestData[] | undefined) => { + const data = originalData || []; + const nodeGroup: string[] = []; + const edges: EdgeConfig[] = []; + for (const item of data) { + const {head, tail} = item; + !nodeGroup.includes(tail) && nodeGroup.push(tail); + head.forEach(item => { + !nodeGroup.includes(item) && nodeGroup.push(item); + edges.push({ + source: item, + target: tail + }); + }); + + } + setGraphData({ + nodes: nodeGroup.map(nodeName => ({ + id: nodeName, + label: nodeName, + size: [nodeName.length * 8, 30] + })), + edges + }); + setSearchList(nodeGroup); + }, + [graphRequestData, t] + ); + + const setNodeBasicData = useCallback( + () => { + if (requestNodeId && nodebasicRequestData) { + const basicDataKeyGroup = nodebasicRequestData + ? Object.keys(nodebasicRequestData).filter(item => item.includes(requestNodeId)) + : []; + const basicData: ChartOptions[] = []; + const getLineSeries = (data: NodeBasicData[]) => { + const record: {[index: string]: number[]} = {}; + enum NodeBasicDataEnum { + delta_num = 'delta_num', + avg = 'avg', + ab_avg = 'ab_avg', + var = 'var', + zero = 'zero' + } + data.forEach((item: NodeBasicData) => { + Object.keys(item).forEach(key => { + if (key !== 'delta_num') { + record[key] = record[key] ?? []; + record[key].push(Number(item[(key as NodeBasicDataEnum)])); + } + + }); + }); + return Object.keys(record).map(key => ({ + name: t(`model-visual:${key}`), + data: record[key] + })); + }; + const getXAxisData = (data: NodeBasicData[]) => ({ + data: data.map(item => item.delta_num) + }); + const getLegendData = (data: NodeBasicData[]) => { + const result: string[] = []; + Object.keys(data[0]).forEach(key => { + if (key !== 'delta_num') { + result.push(t(`model-visual:${key}`)); + } + }); + return result; + }; + const handlerData = (ori: NodeBasicData[], title: string): ChartOptions => ({ + type: ChartType['line'], + config: { + title, + loading: false, + xConfig: getXAxisData(ori), + xAxisType: XAxisType.category, + data: getLineSeries(ori), + legendData: getLegendData(ori) + } + }); + basicDataKeyGroup.forEach(key => { + nodebasicRequestData[key].length && basicData.push(handlerData(nodebasicRequestData[key], key)) + }); + chartGroup.basic = basicData; + setChartGroup(chartGroup); + tabLoading.basic = false; + setTimeout(() => { + setTabLoading({...tabLoading}); + }, 200) + } + }, + [nodebasicRequestData, t] + ); + + const setNodeDetailIndexData = useCallback( + (grad: boolean) => { + const type = grad ? 'indexGrad' : 'index'; + const requestData = grad ? nodedetailIndexGradRequestData : nodedetailIndexRequestData; + if (requestNodeId && requestData) { + const oriData = requestData.data || []; + const getBarSeries = (data: NodeDetailIndexData) => ( + [{data: JSON.parse(data.neuron_values), type: 'bar'}] + ); + const getXAxisData = (data: NodeDetailIndexData) => { + const value: number[] = []; + for(let i = 0; i < Number(data.neuron_num); i++) { + value.push(i+1); + } + return { + data: value + }; + }; + const indexData: ChartOptions[] = oriData.map(item => ({ + type: ChartType.bar, + config: { + title: `delta_num: ${item.delta_num}`, + loading: false, + data: getBarSeries(item), + xConfig: getXAxisData(item) + } + })); + chartGroup[type] = indexData; + setChartGroup(chartGroup); + tabLoading[type] = false; + setTimeout(() => { + setTabLoading({...tabLoading}); + }, 200) + } + }, + [nodedetailIndexRequestData, nodedetailIndexGradRequestData, t] + ); + + const setNodeDetailNumData = useCallback( + (grad: boolean) => { + const type = grad ? 'numGrad' : 'num'; + const requestData = grad ? nodedetailNumGradRequestData : nodedetailNumRequestData; + if (requestNodeId && requestData) { + const oriData = requestData.data || []; + const getBarSeries = (data: NodeDetailNumData) => { + const value: number[][] = []; + JSON.parse( + data.bucket_xy. + replaceAll('(', '['). + replaceAll(')', ']'). + replaceAll('\'', '\"')). + forEach((item: {x: number[], y: number}) => {value.push([...item.x, item.y])} + ) + return [{ + type: 'custom', + data: value, + renderItem: (params: any, api: any) => { + var yValue = api.value(2); + var start = api.coord([api.value(0), yValue]); + var size = api.size([api.value(1) - api.value(0), yValue]); + var style = api.style(); + return { + type: 'rect', + shape: { + x: start[0], + y: start[1], + width: size[0], + height: size[1] + }, + style: style + }; + }, + dimensions: ['from', 'to', 'profit'], + encode: { + x: [0, 1], + y: 2, + tooltip: [0, 1, 2] + }, + }] + }; + const numData: ChartOptions[] = oriData.map(item => ({ + type: ChartType.bar, + config: { + title: `delta_num: ${item.delta_num}`, + loading: false, + data: getBarSeries(item), + tooltip: { + formatter: (params: {value: number[]}[]) => { + return ` + ${t('model-visual:from')}: ${params?.[0]?.value?.[0]}
+ ${t('model-visual:to')}: ${params?.[0]?.value?.[1] }
+ ${t('model-visual:neuron')}: ${params?.[0]?.value?.[2]} + `; + } + } + } + })); + chartGroup[type] = numData; + setChartGroup(chartGroup); + tabLoading[type] = false; + setTimeout(() => { + setTabLoading({...tabLoading}); + }, 200) + } + }, + [nodedetailNumRequestData, nodedetailNumGradRequestData, t] + ); + + const nodeSelected = useCallback( + (isSelected) => { + setShowDrawer(isSelected); + !isSelected && setNodeModel(null); + }, + [] + ); + + const switchStep = useCallback( + value => { + nodeSelected(false); + setTimeout(() => { + setRequestStage(value); + }, 0); + }, + [] + ); + + const setTools = useCallback( + (type: ToolsType, value) => { + toolsMap[type] = value; + setToolsMap({...toolsMap}); + }, + [] + ); + + const repaintGraph = useCallback( + () => { + graphG6Ref?.current?.repaintGraphG6(); + }, + [graphG6Ref] + ); + + const aside = useMemo( + () => ( + + ), + [nodeData, searchList, t] + ); + + return ( + <> + {t('common:model-visual')} + + { + !pageLoading && !graphData ? ( + + ) : ( + + + + + { + setNodeData({ + id: nodeModel?.id ?? undefined, + x: nodeModel?.x ? Math.floor(nodeModel?.x) : undefined, + y: nodeModel?.y ? Math.floor(nodeModel?.y) : undefined + }) + }} + /> + + ) + } + + + ); +}; + +export default ModelVisual; diff --git a/frontend/packages/core/src/resource/model-visual/types.ts b/frontend/packages/core/src/resource/model-visual/types.ts new file mode 100644 index 000000000..41071f038 --- /dev/null +++ b/frontend/packages/core/src/resource/model-visual/types.ts @@ -0,0 +1,54 @@ +/** + * Copyright 2020 Baidu Inc. All Rights Reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * 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. + */ + +// cspell:words quantile + +export type GraphRequestData = { + head: string[], + tail: string, + name: string +}; + +export type NodeBasicData = { + delta_num: string; + avg: string; + ab_avg: string; + var: string; + zero: string; +}; + +export type NodeBasicRequestData = { + [index: string]: NodeBasicData[]; +}; + +export type NodeDetailIndexData = { + delta_num: string; + neuron_num: string; + neuron_values: string; +}; + +export type NodeDetailIndexRequestData = { + data: NodeDetailIndexData[]; +}; + +export type NodeDetailNumData = { + bucket_xy: string; + delta_num: string; +}; + +export type NodeDetailNumRequestData = { + data: NodeDetailNumData[]; +}; diff --git a/frontend/packages/core/src/routes/index.ts b/frontend/packages/core/src/routes/index.ts index b16269db5..3f1873b62 100644 --- a/frontend/packages/core/src/routes/index.ts +++ b/frontend/packages/core/src/routes/index.ts @@ -28,7 +28,8 @@ export enum Pages { HighDimensional = 'high-dimensional', PRCurve = 'pr-curve', ROCCurve = 'roc-curve', - HyperParameter = 'hyper-parameter' + HyperParameter = 'hyper-parameter', + ModelVisual = 'model-visual' } export interface Route { @@ -88,6 +89,11 @@ const routes: Route[] = [ path: '/hyper-parameter', component: React.lazy(() => import('~/pages/hyper-parameter')) }, + { + id: Pages.ModelVisual, + path: '/model-visual', + component: React.lazy(() => import('~/pages/model-visual')) + }, { id: Pages.HighDimensional, path: '/high-dimensional', diff --git a/frontend/packages/core/src/utils/style.ts b/frontend/packages/core/src/utils/style.ts index b9cd1de71..5a15abe63 100644 --- a/frontend/packages/core/src/utils/style.ts +++ b/frontend/packages/core/src/utils/style.ts @@ -54,6 +54,7 @@ export const zIndexes = { progress: 99999, toast: 90000, tooltip: 80000, + drawer: 40000, component: 30000, dialog: 20000, header: 10000 diff --git a/frontend/packages/demo/.gitignore b/frontend/packages/demo/.gitignore index 1666e5b72..b846d6085 100644 --- a/frontend/packages/demo/.gitignore +++ b/frontend/packages/demo/.gitignore @@ -1,2 +1,3 @@ data !logs/**/*.log +!logs/output/ diff --git a/frontend/packages/demo/builder/index.ts b/frontend/packages/demo/builder/index.ts index 0bb9dd7ef..27fd6b945 100644 --- a/frontend/packages/demo/builder/index.ts +++ b/frontend/packages/demo/builder/index.ts @@ -40,7 +40,8 @@ const pages = [ 'pr-curve', 'roc-curve', 'high-dimensional', - 'hyper-parameter' + 'hyper-parameter', + 'model-visual' ]; const dataDir = path.resolve(cwd, '../data'); diff --git a/frontend/packages/demo/builder/model-visual.ts b/frontend/packages/demo/builder/model-visual.ts new file mode 100644 index 000000000..ef563c4e8 --- /dev/null +++ b/frontend/packages/demo/builder/model-visual.ts @@ -0,0 +1,62 @@ +/** + * Copyright 2020 Baidu Inc. All Rights Reserved. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * 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 type {Worker} from './types'; + +type GraphItem = { + head: string[]; + tail: string; + name: string; +}; + +const worker: Worker = async io => { + const joinGraphData: GraphItem[] = await io.save('/model/network', {stage: 'join'}); + const updateGraphData: GraphItem[] = await io.save('/model/network', {stage: 'update'}); + const nodes = { + join: [], + update: [] + }; + Array.isArray(joinGraphData) && joinGraphData.forEach(item => { + const {head, tail} = item; + !nodes.join.includes(tail) && nodes.join.push(tail); + head.forEach(item => { + !nodes.join.includes(item) && nodes.join.push(item); + }); + }); + Array.isArray(updateGraphData) && updateGraphData.forEach(item => { + const {head, tail} = item; + !nodes.update.includes(tail) && nodes.update.push(tail); + head.forEach(item => { + !nodes.update.includes(item) && nodes.update.push(item); + }); + }); + nodes.join.forEach(async node => { + await io.save('/model/nodebasic', {stage: 'join', node}); + await io.save('/model/nodedetail', {stage: 'join', node, type: '1'}); + await io.save('/model/nodedetail', {stage: 'join', node: node + '@GRAD', type: '1'}); + await io.save('/model/nodedetail', {stage: 'join', node, type: '2'}); + await io.save('/model/nodedetail', {stage: 'join', node: node + '@GRAD', type: '2'}); + }); + nodes.update.forEach(async node => { + await io.save('/model/nodebasic', {stage: 'update', node}); + await io.save('/model/nodedetail', {stage: 'update', node, type: '1'}); + await io.save('/model/nodedetail', {stage: 'update', node: node + '@GRAD', type: '1'}); + await io.save('/model/nodedetail', {stage: 'update', node, type: '2'}); + await io.save('/model/nodedetail', {stage: 'update', node: node + '@GRAD', type: '2'}); + }); +}; + +export default worker; diff --git a/frontend/packages/demo/logs/output/assessment.data b/frontend/packages/demo/logs/output/assessment.data new file mode 100644 index 000000000..e69de29bb diff --git a/frontend/packages/demo/logs/output/detail.data b/frontend/packages/demo/logs/output/detail.data new file mode 100644 index 000000000..a65cfa4fb --- /dev/null +++ b/frontend/packages/demo/logs/output/detail.data @@ -0,0 +1,184 @@ +9 join concat_1.tmp_0 513 [{'x': (-3.91335, -3.89789425), 'y': 2}, {'x': (-3.89789425, -3.8824384999999997), 'y': 0}, {'x': (-3.8824384999999997, -3.8669827499999996), 'y': 0}, {'x': (-3.8669827499999996, -3.8515269999999995), 'y': 0}, {'x': (-3.8515269999999995, -3.8360712499999994), 'y': 0}, {'x': (-3.8360712499999994, -3.8206154999999993), 'y': 1}, {'x': (-3.8206154999999993, -3.805159749999999), 'y': 0}, {'x': (-3.805159749999999, -3.789703999999999), 'y': 1}, {'x': (-3.789703999999999, -3.774248249999999), 'y': 0}, {'x': (-3.774248249999999, -3.758792499999999), 'y': 1}, {'x': (-3.758792499999999, -3.7433367499999988), 'y': 1}, {'x': (-3.7433367499999988, -3.7278809999999987), 'y': 0}, {'x': (-3.7278809999999987, -3.7124252499999986), 'y': 0}, {'x': (-3.7124252499999986, -3.6969694999999985), 'y': 0}, {'x': (-3.6969694999999985, -3.6815137499999984), 'y': 0}, {'x': (-3.6815137499999984, -3.6660579999999983), 'y': 0}, {'x': (-3.6660579999999983, -3.650602249999998), 'y': 0}, {'x': (-3.650602249999998, -3.635146499999998), 'y': 0}, {'x': (-3.635146499999998, -3.619690749999998), 'y': 0}, {'x': (-3.619690749999998, -3.604234999999998), 'y': 1}, {'x': (-3.604234999999998, -3.5887792499999978), 'y': 0}, {'x': (-3.5887792499999978, -3.5733234999999977), 'y': 0}, {'x': (-3.5733234999999977, -3.5578677499999976), 'y': 0}, {'x': (-3.5578677499999976, -3.5424119999999975), 'y': 2}, {'x': (-3.5424119999999975, -3.5269562499999974), 'y': 0}, {'x': (-3.5269562499999974, -3.5115004999999972), 'y': 0}, {'x': (-3.5115004999999972, -3.496044749999997), 'y': 0}, {'x': (-3.496044749999997, -3.480588999999997), 'y': 1}, {'x': (-3.480588999999997, -3.465133249999997), 'y': 0}, {'x': (-3.465133249999997, -3.449677499999997), 'y': 0}, {'x': (-3.449677499999997, -3.4342217499999967), 'y': 0}, {'x': (-3.4342217499999967, -3.4187659999999966), 'y': 0}, {'x': (-3.4187659999999966, -3.4033102499999965), 'y': 0}, {'x': (-3.4033102499999965, -3.3878544999999964), 'y': 0}, {'x': (-3.3878544999999964, -3.3723987499999963), 'y': 0}, {'x': (-3.3723987499999963, -3.3569429999999962), 'y': 1}, {'x': (-3.3569429999999962, -3.341487249999996), 'y': 1}, {'x': (-3.341487249999996, 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+12 update fc_3.tmp_1 255 [{'x': (-43.3116, -43.2265022), 'y': 1}, {'x': (-43.2265022, -43.1414044), 'y': 0}, {'x': (-43.1414044, -43.0563066), 'y': 0}, {'x': (-43.0563066, -42.9712088), 'y': 0}, {'x': (-42.9712088, -42.886111), 'y': 0}, {'x': (-42.886111, -42.8010132), 'y': 0}, {'x': (-42.8010132, -42.7159154), 'y': 0}, {'x': (-42.7159154, -42.6308176), 'y': 0}, {'x': (-42.6308176, -42.5457198), 'y': 0}, {'x': (-42.5457198, -42.460622), 'y': 0}, {'x': (-42.460622, -42.3755242), 'y': 0}, {'x': (-42.3755242, -42.2904264), 'y': 0}, {'x': (-42.2904264, -42.2053286), 'y': 0}, {'x': (-42.2053286, -42.1202308), 'y': 0}, {'x': (-42.1202308, -42.035133), 'y': 0}, {'x': (-42.035133, -41.9500352), 'y': 0}, {'x': (-41.9500352, -41.8649374), 'y': 0}, {'x': (-41.8649374, -41.7798396), 'y': 0}, {'x': (-41.7798396, -41.6947418), 'y': 0}, {'x': (-41.6947418, -41.609644), 'y': 0}, {'x': (-41.609644, -41.5245462), 'y': 0}, {'x': (-41.5245462, -41.4394484), 'y': 0}, {'x': (-41.4394484, 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-1.2534228888888892e-07, -5.307891777777778e-07, -1.1640458955555557e-06, -1.5768916666666665e-07, -1.7380788888888888e-07, 2.202119944444444e-06, 3.7319239999999994e-07, 5.580012677777777e-07, -7.097874211111112e-07, -2.328422555555556e-07, -3.8768067333333324e-07, -1.6567385555555555e-07, -2.981608444444442e-08, 2.991711111111105e-08, 7.977711333333334e-08, 5.88241815e-07, -2.6706654444444447e-07] diff --git a/frontend/packages/demo/logs/output/join_network.json b/frontend/packages/demo/logs/output/join_network.json new file mode 100644 index 000000000..ba3ed2d21 --- /dev/null +++ b/frontend/packages/demo/logs/output/join_network.json @@ -0,0 +1 @@ +[{"head": [], "tail": "concat_1.tmp_0", "name": "concat_1.tmp_0"},{"head": [], "tail": "concat_2.tmp_0", "name": "concat_2.tmp_0"}, {"head": ["concat_1.tmp_0", "concat_2.tmp_0"], "tail": "concat_3.tmp_0", "name": "concat_3.tmp_0"}, {"head": ["concat_3.tmp_0"], "tail": "_generated_var_0", "name": "_generated_var_0"}, {"head": ["_generated_var_0"], "tail": "fc_3.tmp_0", "name": "fc_3.tmp_0"}, {"head": ["fc_3.tmp_0"], "tail": "fc_3.tmp_1", "name": "fc_3.tmp_1"}] diff --git a/frontend/packages/demo/logs/output/static.data b/frontend/packages/demo/logs/output/static.data new file mode 100644 index 000000000..5162788f3 --- /dev/null +++ b/frontend/packages/demo/logs/output/static.data @@ -0,0 +1,120 @@ +9 join concat_0.tmp_0 -0.02354901329272252 0.0 1.0026313771427542 0.6490951729357808 +9 update concat_0.tmp_0 0.14744067784729362 0.11695906432748537 2.240215782985595 0.40561423594543433 +10 join concat_0.tmp_0 -0.006790094402487185 0.0 1.2123404913654037 0.6722699225763157 +10 update concat_0.tmp_0 0.1600040992660116 0.050682261208576995 2.233978328163822 0.40633845996445295 +11 join concat_0.tmp_0 -0.030726888443632205 0.0 1.042724266613837 0.6438648914082197 +11 update concat_0.tmp_0 0.15782612561097722 0.2378167641325536 2.254495472469406 0.40201808020367424 +12 join concat_0.tmp_0 -0.03324234339621689 0.0 0.786460954320501 0.6098492453627175 +12 update concat_0.tmp_0 0.1808237483715974 0.050682261208576995 2.457768027090598 0.44335308885807717 +9 join concat_0.tmp_0@GRAD@RENAME@block0@1 -1.0792715428849985e-09 0.0 2.638528155759242e-14 6.881059408490362e-08 +9 join concat_0.tmp_0@GRAD 2.226428859025876e-09 0.0 4.785956905063344e-13 1.8124629583990524e-07 +9 join concat_0.tmp_0@GRAD@RENAME@block0@0 3.305710968934041e-09 0.0 4.4137948577040213e-13 1.4869689262282886e-07 +9 update concat_0.tmp_0@GRAD 7.345097651454837e-08 0.0 3.120017389441091e-11 1.1530450472551592e-06 +10 join concat_0.tmp_0@GRAD@RENAME@block0@1 1.4287389818605144e-08 0.0 8.210224163919807e-13 3.403812863044185e-07 +10 join concat_0.tmp_0@GRAD 1.4641662436671216e-08 0.0 1.1020616856405443e-11 8.138868904826584e-07 +10 join concat_0.tmp_0@GRAD@RENAME@block0@0 3.5429018288063115e-10 0.0 9.776819197540372e-12 6.405189302391285e-07 +10 update concat_0.tmp_0@GRAD 1.7934420846496765e-07 0.0 1.9522031303027986e-09 9.023174752261057e-06 +11 join concat_0.tmp_0@GRAD@RENAME@block0@1 -2.8635771070500277e-09 0.0 3.87284993199248e-14 8.678589769379466e-08 +11 join concat_0.tmp_0@GRAD 8.466746306554777e-10 0.0 8.053996382121138e-13 2.2465505937205737e-07 +11 join concat_0.tmp_0@GRAD@RENAME@block0@0 3.710283432007759e-09 0.0 7.618497462222712e-13 1.905157455579948e-07 +11 update concat_0.tmp_0@GRAD -1.4075153041057491e-08 0.0 7.189463396620322e-11 1.7682793462713204e-06 +12 join concat_0.tmp_0@GRAD@RENAME@block0@1 -2.767070540321984e-09 0.0 9.393605291082787e-14 1.6112058242769475e-07 +12 join concat_0.tmp_0@GRAD 7.504722569460681e-09 0.0 1.5605899708546483e-12 3.993842346894665e-07 +12 join concat_0.tmp_0@GRAD@RENAME@block0@0 1.0271780570210328e-08 0.0 1.3512727747431367e-12 3.2459537379416097e-07 +12 update concat_0.tmp_0@GRAD 9.248830579356698e-08 0.0 7.378212098650029e-11 2.60147190562337e-06 +9 join concat_1.tmp_0 0.14711442289096227 0.12475633528265107 2.2267270836713418 0.3998985634789422 +9 update concat_1.tmp_0 -0.026439456246513338 0.0 1.2553386554267365 0.825455675350709 +10 join concat_1.tmp_0 0.1596443602038501 0.050682261208576995 2.2294181106550957 0.4040060638522589 +10 update concat_1.tmp_0 -0.054779122888640806 0.0 1.6671002576877454 0.9597848981657321 +11 join concat_1.tmp_0 0.15763558913436898 0.2378167641325536 2.2443058232850914 0.39835294743076977 +11 update concat_1.tmp_0 -0.011772985071743255 0.0 1.1768445823356373 0.8136609913605484 +12 join concat_1.tmp_0 0.18054969708288177 0.050682261208576995 2.453561380514874 0.4410534246589326 +12 update concat_1.tmp_0 -0.01845100081018524 0.0 1.3271984191741495 0.8347126009259258 +9 update concat_1.tmp_0@GRAD -3.1546439795138884e-09 0.0 7.759939218801812e-15 4.033501208298611e-08 +10 update concat_1.tmp_0@GRAD 2.5917559137709282e-08 0.0 1.3223883583529935e-12 3.9697656116249323e-07 +11 update concat_1.tmp_0@GRAD 3.16871875917969e-09 0.0 3.3374521836204696e-14 7.734726491035157e-08 +12 update concat_1.tmp_0@GRAD 5.393018879340332e-10 0.0 7.862803041729504e-14 1.3020892056067707e-07 +9 join concat_2.tmp_0 -0.026388838941739982 0.0 1.2566022053906658 0.8258825023777044 +9 update concat_2.tmp_0 0.10008608813663986 0.0851063829787234 1.977985492211747 0.5199540322089985 +10 join concat_2.tmp_0 -0.05443672900275672 0.0 1.6669979297402873 0.9596643078610064 +10 update concat_2.tmp_0 0.10150994514729787 0.03687943262411347 2.0887365100584203 0.5570642984533121 +11 join concat_2.tmp_0 -0.011707901002861565 0.0 1.1770683952822691 0.8134440437888051 +11 update concat_2.tmp_0 0.1116374316378108 0.17304964539007092 1.9667077364460275 0.5141250857953337 +12 join concat_2.tmp_0 -0.018479928579339614 0.0 1.326481067908883 0.8344328720166109 +12 update concat_2.tmp_0 0.126553178381665 0.03687943262411347 2.1577376784328464 0.5499361049105975 +9 update concat_2.tmp_0@GRAD 5.258816923105914e-08 0.0 2.270638155605571e-11 8.500091227827376e-07 +10 update concat_2.tmp_0@GRAD 1.3755992949924675e-07 0.0 1.4209041037755776e-09 6.6739122661746395e-06 +11 update concat_2.tmp_0@GRAD -9.378949657163252e-09 0.0 5.232396691626783e-11 1.307770183687908e-06 +12 update concat_2.tmp_0@GRAD 6.744687494267144e-08 0.0 5.371135581301619e-11 1.928447092670126e-06 +9 join concat_3.tmp_0 0.09986247073226893 0.09078014184397164 1.9684884823459738 0.5159112106683924 +9 update concat_3.tmp_0 0.6905726803304459 0.10875842155919153 2.600516336855266 0.7272240135354506 +10 join concat_3.tmp_0 0.10134142527098687 0.03687943262411347 2.0853306828496043 0.5553342664759178 +10 update concat_3.tmp_0 0.6867926886803871 0.04331087584215592 2.5624918069750104 0.723034049240755 +11 join concat_3.tmp_0 0.11151651096933603 0.17304964539007092 1.959336924286802 0.5113990332474262 +11 update concat_3.tmp_0 0.649969921891843 0.14436958614051973 2.2090465070622023 0.6818565279553658 +12 join concat_3.tmp_0 0.1263458841365746 0.03687943262411347 2.1544619598333647 0.5481865507478322 +12 update concat_3.tmp_0 0.574277563290771 0.19826756496631376 1.8422678237613574 0.603092410579831 +9 join _generated_var_0 -0.04045946210785283 0.0 1.0085435562663014 0.6191485880117299 +9 update _generated_var_0 -0.0319359125844142 0.0 0.9154631113475642 0.593892805205478 +10 join _generated_var_0 -0.017839546439185897 0.0 1.3261505546880215 0.7065484602066275 +10 update _generated_var_0 -0.008053249612041744 0.0 1.2331417310847814 0.6827875963752799 +11 join _generated_var_0 -0.01991325453721701 0.0 0.9076633499147998 0.6048134880443092 +11 update _generated_var_0 -0.010935686883489735 0.0 0.8220784306606397 0.5797816206455818 +12 join _generated_var_0 -0.005855287780347234 0.0 1.1692863355802694 0.6872880275246184 +12 update _generated_var_0 0.0035159146803696345 0.0 1.0885217248345984 0.663868080821654 +9 join _generated_var_0@GRAD@RENAME@block0@1 -1.522995638061466e-09 0.0 4.04260139462495e-14 2.987846544326241e-08 +9 join _generated_var_0@GRAD@RENAME@block0@0 2.619093884627649e-08 0.0 6.043816097442803e-13 6.616970676912046e-08 +9 join _generated_var_0@GRAD 2.466793671475295e-08 0.0 6.273701864502377e-13 8.082376526501065e-08 +9 update _generated_var_0@GRAD@RENAME@block0@1 -2.7979657917257697e-09 0.0 8.593889812150784e-14 4.512558360567376e-08 +9 update _generated_var_0@GRAD@RENAME@block0@0 6.705309335909858e-08 0.0 6.4401290886409654e-12 1.3463392860649668e-07 +9 update _generated_var_0@GRAD 6.425506809640687e-08 0.0 5.708352233898401e-12 1.5359460725696242e-07 +10 join _generated_var_0@GRAD@RENAME@block0@1 9.090202448542183e-09 0.0 9.062932172655275e-13 2.4513749571552404e-07 +10 join _generated_var_0@GRAD -5.397804913579036e-08 0.0 2.090574054078095e-11 5.866834373879636e-07 +10 join _generated_var_0@GRAD@RENAME@block0@0 -6.306823736890022e-08 0.0 2.09296990024918e-11 4.6526462253933527e-07 +10 update _generated_var_0@GRAD@RENAME@block0@1 2.0368958600078832e-08 0.0 2.1496543913647687e-12 3.6942978410929865e-07 +10 update _generated_var_0@GRAD@RENAME@block0@0 -1.4344252796780322e-07 0.0 1.3416597491868318e-10 8.509683271669518e-07 +10 update _generated_var_0@GRAD -1.2307351721412136e-07 0.0 1.3472826793398705e-10 1.0511756801708337e-06 +11 join _generated_var_0@GRAD@RENAME@block0@1 3.2869131258865155e-09 0.0 5.902066818775906e-14 4.9742734628368797e-08 +11 join _generated_var_0@GRAD@RENAME@block0@0 6.617694779330496e-08 0.0 4.923279210384394e-12 1.439055235953014e-07 +11 join _generated_var_0@GRAD 6.946404113860264e-08 0.0 5.853679227170821e-12 1.6992183266028386e-07 +11 update _generated_var_0@GRAD@RENAME@block0@1 3.5627992313829805e-09 0.0 7.306413292077258e-14 6.935602737570923e-08 +11 update _generated_var_0@GRAD@RENAME@block0@0 1.127136701773323e-07 0.0 1.3120684037919263e-11 2.2314522653805783e-07 +11 update _generated_var_0@GRAD 1.1627642210015957e-07 0.0 1.4497297253468952e-11 2.5853819133136526e-07 +12 join _generated_var_0@GRAD@RENAME@block0@1 3.054871167691089e-09 0.0 1.783513213888202e-13 7.187226916264776e-08 +12 join _generated_var_0@GRAD@RENAME@block0@0 7.148780085459239e-08 0.0 2.3929942947472152e-12 1.76236533488974e-07 +12 join _generated_var_0@GRAD 7.454262540764381e-08 0.0 3.1485185479711517e-12 2.1108740247714734e-07 +12 update _generated_var_0@GRAD@RENAME@block0@1 3.375089765484633e-09 0.0 6.880149199255769e-13 1.177734396315209e-07 +12 update _generated_var_0@GRAD@RENAME@block0@0 2.2963134101282637e-07 0.0 3.75687211490486e-11 4.0052786255820384e-07 +12 update _generated_var_0@GRAD 2.330064055529566e-07 0.0 4.031290701358856e-11 4.517719000365468e-07 +9 join fc_3.tmp_0 -2.2860408912816785 0.0 2.125283583908629 2.33380218132896 +9 update fc_3.tmp_0 -2.849723719858156 0.0 2.3269946532888626 2.8995020269739955 +10 join fc_3.tmp_0 -2.402239188830575 0.0 2.373700955266112 2.456185060515366 +10 update fc_3.tmp_0 -3.0030819107391644 0.0 2.72111245882864 3.064824819394799 +11 join fc_3.tmp_0 -2.2873794397562057 0.0 2.0690469041488533 2.339651151435284 +11 update fc_3.tmp_0 -2.866543213554965 0.0 2.246467839395379 2.9091232028102834 +12 join fc_3.tmp_0 -2.438704530596123 0.0 2.421329293886546 2.504571063317195 +12 update fc_3.tmp_0 -3.082401693204098 0.0 2.7161053600988225 3.141970677891253 +9 join fc_3.tmp_0@GRAD -1.2463475606866321e-09 0.0 1.7105466899061077e-14 2.110923331821711e-08 +9 update fc_3.tmp_0@GRAD -1.2826360500388496e-09 0.0 2.1067911800215873e-14 2.540462015537711e-08 +10 join fc_3.tmp_0@GRAD 3.4875439711229615e-08 0.0 1.664050085025598e-12 1.638255073384775e-07 +10 update fc_3.tmp_0@GRAD 4.669006211242732e-08 0.0 2.6824539404836134e-12 2.102750487076285e-07 +11 join fc_3.tmp_0@GRAD -8.851428786266953e-09 0.0 5.2471254335430016e-14 3.4901412774627355e-08 +11 update fc_3.tmp_0@GRAD -8.554774970580091e-09 0.0 5.2704526347947365e-14 4.222095905926115e-08 +12 join fc_3.tmp_0@GRAD -6.511739616269453e-09 0.0 6.20663121977444e-14 5.3967912749887866e-08 +12 update fc_3.tmp_0@GRAD -6.328869329889052e-09 0.0 1.2761387809776773e-13 7.752768134359194e-08 +9 join fc_3.tmp_1 0.14285997385035462 0.0 0.01736260580207113 0.14285997385035462 +9 update fc_3.tmp_1 0.10296959323941964 0.0 0.017507090077800807 0.10296959323941964 +10 join fc_3.tmp_1 0.136072998545487 0.0 0.01789162560639652 0.136072998545487 +10 update fc_3.tmp_1 0.09839370081658415 0.0 0.018646243263633316 0.09839370081658415 +11 join fc_3.tmp_1 0.1411357281444858 0.0 0.01756272656126502 0.1411357281444858 +11 update fc_3.tmp_1 0.09983707259348937 0.0 0.01575455772488396 0.09983707259348937 +12 join fc_3.tmp_1 0.13298583484382978 0.0 0.018817016785282113 0.13298583484382978 +12 update fc_3.tmp_1 0.09164259772616076 0.0 0.017010728838582716 0.09164259772616076 +9 join fc_3.tmp_1@GRAD 2.448149524815383e-09 0.0 9.50799889948499e-13 2.297574693407064e-07 +9 update fc_3.tmp_1@GRAD 2.632978801045294e-08 0.0 4.36315870467195e-12 5.223758224231339e-07 +10 join fc_3.tmp_1@GRAD 2.469398144783193e-07 0.0 6.096044662413449e-11 1.6689062657673515e-06 +10 update fc_3.tmp_1@GRAD 3.8623331620476153e-07 0.0 3.418511565598219e-10 3.984422366570472e-06 +11 join fc_3.tmp_1@GRAD -3.499921845860903e-08 0.0 2.382146056505319e-12 3.859621249612899e-07 +11 update fc_3.tmp_1@GRAD -1.8613756211406637e-08 0.0 6.625062886239453e-12 7.655103914540116e-07 +12 join fc_3.tmp_1@GRAD -3.692564993905669e-08 0.0 2.809576087479847e-12 5.80331179762636e-07 +12 update fc_3.tmp_1@GRAD -1.639159409517575e-08 0.0 2.6445584172405898e-11 1.6565684186402065e-06 diff --git a/frontend/packages/demo/logs/output/update_network.json b/frontend/packages/demo/logs/output/update_network.json new file mode 100644 index 000000000..84722519b --- /dev/null +++ b/frontend/packages/demo/logs/output/update_network.json @@ -0,0 +1 @@ +[{"head": [], "tail": "concat_0.tmp_0", "name": "concat_0.tmp_0"}, {"head": [], "tail": "concat_1.tmp_0", "name": "concat_1.tmp_0"}, {"head": ["concat_0.tmp_0", "concat_1.tmp_0"], "tail": "concat_2.tmp_0", "name": "concat_2.tmp_0"}, {"head": ["concat_2.tmp_0"], "tail": "_generated_var_0", "name": "_generated_var_0"}, {"head": ["_generated_var_0"], "tail": "fc_3.tmp_0", "name": "fc_3.tmp_0"}, {"head": ["fc_3.tmp_0"], "tail": "fc_3.tmp_1", "name": "fc_3.tmp_1"}] diff --git a/frontend/packages/mock/data/model/data/network/join.json b/frontend/packages/mock/data/model/data/network/join.json new file mode 100644 index 000000000..0cd59c38c --- /dev/null +++ b/frontend/packages/mock/data/model/data/network/join.json @@ -0,0 +1,37 @@ +[ + { + "head": [ + "Node_root" + ], + "tail": "Node_leaf_1", + "name": "Node_leaf_1" + }, + { + "head": [ + "Node_root" + ], + "tail": "Node_leaf_2", + "name": "Node_leaf_2" + }, + { + "head": [ + "Node_root" + ], + "tail": "Node_leaf_3", + "name": "Node_leaf_3" + }, + { + "head": [ + "Node_root" + ], + "tail": "Node_leaf_4", + "name": "Node_leaf_4" + }, + { + "head": [ + "Node_root" + ], + "tail": "Node_leaf_5", + "name": "Node_leaf_5" + } +] \ No newline at end of file diff --git a/frontend/packages/mock/data/model/data/network/update.json b/frontend/packages/mock/data/model/data/network/update.json new file mode 100644 index 000000000..0cd59c38c --- /dev/null +++ b/frontend/packages/mock/data/model/data/network/update.json @@ -0,0 +1,37 @@ +[ + { + "head": [ + "Node_root" + ], + "tail": "Node_leaf_1", + "name": "Node_leaf_1" + }, + { + "head": [ + "Node_root" + ], + "tail": "Node_leaf_2", + "name": "Node_leaf_2" + }, + { + "head": [ + "Node_root" + ], + "tail": "Node_leaf_3", + "name": "Node_leaf_3" + }, + { + "head": [ + "Node_root" + ], + "tail": "Node_leaf_4", + "name": "Node_leaf_4" + }, + { + "head": [ + "Node_root" + ], + "tail": "Node_leaf_5", + "name": "Node_leaf_5" + } +] \ No newline at end of file diff --git a/frontend/packages/mock/data/model/data/nodebasic/join.json b/frontend/packages/mock/data/model/data/nodebasic/join.json new file mode 100644 index 000000000..29dc5a2e6 --- /dev/null +++ b/frontend/packages/mock/data/model/data/nodebasic/join.json @@ -0,0 +1,229 @@ +{ + "Node_leaf_1": { + "Node_leaf_1": 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'y': 12.00}, {'x': (136.49, 182.60), 'y': 73.00}, {'x': (116.60, 150.70), 'y': 45.00}, {'x': (186.70, 147.80), 'y': 53.00}, {'x': (161.80, 186.90), 'y': 27.00}]" + } + ] + } +} \ No newline at end of file diff --git a/frontend/packages/mock/data/model/network.js b/frontend/packages/mock/data/model/network.js new file mode 100644 index 000000000..efdec8f13 --- /dev/null +++ b/frontend/packages/mock/data/model/network.js @@ -0,0 +1,26 @@ +import networkJoinData from './data/network/join.json'; +import networkUpdateData from './data/network/update.json'; + +export default request => { + const {stage} = request.query; + switch(stage) { + case 'join': + return { + "status": 0, + "msg": "", + "data": networkJoinData + }; + case 'update': + return { + "status": 0, + "msg": "", + "data": networkUpdateData + }; + default: + return { + "status": 0, + "msg": "", + "data": [] + } + } +}; diff --git a/frontend/packages/mock/data/model/nodebasic.js b/frontend/packages/mock/data/model/nodebasic.js new file mode 100644 index 000000000..f2dd2e6fa --- /dev/null +++ b/frontend/packages/mock/data/model/nodebasic.js @@ -0,0 +1,28 @@ +import nodebasicJoinData from './data/nodebasic/join.json'; +import nodebasicUpdateData from './data/nodebasic/update.json'; + +export default request => { + const {stage, node} = request.query; + switch(stage) { + case 'join': + return { + "status": 0, + "msg": "", + "data": nodebasicJoinData[node] + }; + case 'update': + return { + "status": 0, + "msg": "", + "data": nodebasicUpdateData[node] + }; + default: + return { + "status": 0, + "msg": "", + "data": { + [node]: [] + } + }; + } +}; \ No newline at end of file diff --git a/frontend/packages/mock/data/model/nodedetail.js b/frontend/packages/mock/data/model/nodedetail.js new file mode 100644 index 000000000..138ad2378 --- /dev/null +++ b/frontend/packages/mock/data/model/nodedetail.js @@ -0,0 +1,60 @@ +import nodedetailJoinType1Data from './data/nodedetail/join/type1.json'; +import nodedetailJoinType2Data from './data/nodedetail/join/type2.json'; +import nodedetailUpdateType1Data from './data/nodedetail/update/type1.json'; +import nodedetailUpdateType2Data from './data/nodedetail/update/type2.json'; + +export default request => { + const {stage, node, type} = request.query; + switch(stage) { + case 'join': { + if (type === '1') { + return nodedetailJoinType1Data[node]; + } + else if (type === '2') { + return nodedetailJoinType2Data[node]; + } + else { + return { + "status": 0, + "msg": "", + "data": { + "data": [] + } + } + } + } + case 'update': { + if (type === '1') { + return { + "status": 0, + "msg": "", + "data": nodedetailUpdateType1Data[node] + }; + } + else if (type === '2') { + return { + "status": 0, + "msg": "", + "data": nodedetailUpdateType2Data[node] + }; + } + else { + return { + "status": 0, + "msg": "", + "data": { + "data": [] + } + } + } + } + default: + return { + "status": 0, + "msg": "", + "data": { + [node]: [] + } + }; + } +}; \ No newline at end of file diff --git a/frontend/packages/server/index.ts b/frontend/packages/server/index.ts index a6dea7e15..375354f8a 100644 --- a/frontend/packages/server/index.ts +++ b/frontend/packages/server/index.ts @@ -60,7 +60,7 @@ async function start() { const template = await parseTemplate(); const snowpackEnv = await extendEnv(); - const baseUri = snowpackEnv.SNOWPACK_PUBLIC_BASE_URI; + const baseUri = snowpackEnv.SNOWPACK_PUBLIC_BASE_URI ?? ''; const apiUrl = snowpackEnv.SNOWPACK_PUBLIC_API_URL; if (backend) { diff --git a/frontend/yarn.lock b/frontend/yarn.lock index b0d90207a..1c72ebae3 100644 --- a/frontend/yarn.lock +++ b/frontend/yarn.lock @@ -2,6 +2,263 @@ # yarn lockfile v1 +"@ant-design/colors@^4.0.5": + version "4.0.5" + resolved "http://registry.npm.baidu-int.com/@ant-design%2fcolors/-/colors-4.0.5.tgz#d7d100d7545cca8f624954604a6892fc48ba5aae" + integrity sha1-19EA11Rcyo9iSVRgSmiS/Ei6Wq4= + dependencies: + tinycolor2 "^1.4.1" + +"@antv/algorithm@^0.1.8": + version "0.1.15" + resolved "http://registry.npm.baidu-int.com/@antv%2falgorithm/-/algorithm-0.1.15.tgz#3ebb72f114b3ca1a8c1eb1570ee79a12c85df1e3" + integrity sha512-FJf9Am2hcgQy0Odd0Xp+V7HmfOxoAcRjPJP9t2NyjUXXjqACMj1DUaJpnvE+X1/Ynx2rVh3hMiVeyUJDvbEY5w== + dependencies: + "@antv/util" "^2.0.13" + tslib "^2.0.0" + +"@antv/dom-util@^2.0.1", "@antv/dom-util@^2.0.2": + version "2.0.3" + resolved 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integrity sha1-9cyvYBUkHmF19LkJBrBT+ISD0fI= + +"@webgpu/types@^0.0.31": + version "0.0.31" + resolved "http://registry.npm.baidu-int.com/@webgpu%2ftypes/-/types-0.0.31.tgz#c05ec6e60024bf1836f31236ecd7677a969a2a2c" + integrity sha1-wF7G5gAkvxg28xI27NdnepaaKiw= + "@webpack-cli/configtest@^1.0.4": version "1.0.4" resolved "https://registry.yarnpkg.com/@webpack-cli/configtest/-/configtest-1.0.4.tgz#f03ce6311c0883a83d04569e2c03c6238316d2aa" @@ -4399,7 +4678,7 @@ collection-visit@^1.0.0: map-visit "^1.0.0" object-visit "^1.0.0" -color-convert@^1.9.0: +color-convert@^1.9.0, color-convert@^1.9.3: version "1.9.3" resolved "https://registry.yarnpkg.com/color-convert/-/color-convert-1.9.3.tgz#bb71850690e1f136567de629d2d5471deda4c1e8" integrity sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg== @@ -4418,11 +4697,27 @@ color-name@1.1.3: resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.3.tgz#a7d0558bd89c42f795dd42328f740831ca53bc25" integrity sha1-p9BVi9icQveV3UIyj3QIMcpTvCU= -color-name@~1.1.4: +color-name@^1.0.0, color-name@~1.1.4: version "1.1.4" resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.4.tgz#c2a09a87acbde69543de6f63fa3995c826c536a2" integrity sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA== +color-string@^1.6.0: + version "1.9.0" + resolved "http://registry.npm.baidu-int.com/color-string/-/color-string-1.9.0.tgz#63b6ebd1bec11999d1df3a79a7569451ac2be8aa" + integrity sha512-9Mrz2AQLefkH1UvASKj6v6hj/7eWgjnT/cVsR8CumieLoT+g900exWeNogqtweI8dxloXN9BDQTYro1oWu/5CQ== + dependencies: + color-name "^1.0.0" + simple-swizzle "^0.2.2" + +color@^3.1.3: + version "3.2.1" + resolved "http://registry.npm.baidu-int.com/color/-/color-3.2.1.tgz#3544dc198caf4490c3ecc9a790b54fe9ff45e164" + integrity sha1-NUTcGYyvRJDD7MmnkLVP6f9F4WQ= + dependencies: + color-convert "^1.9.3" + color-string "^1.6.0" + colorette@^1.2.1, colorette@^1.2.2: version "1.2.2" resolved "https://registry.yarnpkg.com/colorette/-/colorette-1.2.2.tgz#cbcc79d5e99caea2dbf10eb3a26fd8b3e6acfa94" @@ -4895,6 +5190,11 @@ csstype@^3.0.2: resolved "https://registry.yarnpkg.com/csstype/-/csstype-3.0.8.tgz#d2266a792729fb227cd216fb572f43728e1ad340" integrity sha512-jXKhWqXPmlUeoQnF/EhTtTl4C9SnrxSH/jZUih3jmO6lBKr99rP3/+FmrMj4EFpOXzMtXHAZkd3x0E6h6Fgflw== +csstype@^3.0.8: + version "3.0.10" + resolved "http://registry.npm.baidu-int.com/csstype/-/csstype-3.0.10.tgz#2ad3a7bed70f35b965707c092e5f30b327c290e5" + integrity sha1-KtOnvtcPNbllcHwJLl8wsyfCkOU= + culvert@^0.1.2: version "0.1.2" resolved "https://registry.yarnpkg.com/culvert/-/culvert-0.1.2.tgz#9502f5f0154a2d5a22a023e79f71cc936fa6ef6f" @@ -5007,6 +5307,11 @@ d3-dispatch@1: resolved "https://registry.yarnpkg.com/d3-dispatch/-/d3-dispatch-1.0.6.tgz#00d37bcee4dd8cd97729dd893a0ac29caaba5d58" integrity sha512-fVjoElzjhCEy+Hbn8KygnmMS7Or0a9sI2UzGwoB7cCtvI1XpVN9GpoYlnb3xt2YV66oXYb1fLJ8GMvP4hdU1RA== +"d3-dispatch@1 - 2": + version "2.0.0" + resolved "http://registry.npm.baidu-int.com/d3-dispatch/-/d3-dispatch-2.0.0.tgz#8a18e16f76dd3fcaef42163c97b926aa9b55e7cf" + integrity sha1-ihjhb3bdP8rvQhY8l7kmqptV588= + "d3-dispatch@1 - 3", d3-dispatch@3: version "3.0.1" resolved "https://registry.yarnpkg.com/d3-dispatch/-/d3-dispatch-3.0.1.tgz#5fc75284e9c2375c36c839411a0cf550cbfc4d5e" @@ -5046,7 +5351,7 @@ d3-dsv@1: iconv-lite "0.6" rw "1" -d3-ease@1: +d3-ease@1, d3-ease@^1.0.5: version "1.0.7" resolved "https://registry.yarnpkg.com/d3-ease/-/d3-ease-1.0.7.tgz#9a834890ef8b8ae8c558b2fe55bd57f5993b85e2" integrity sha512-lx14ZPYkhNx0s/2HX5sLFUI3mbasHjSSpwO/KaaNACweVwxUruKyWVcb293wMv1RqTPZyZ8kSZ2NogUZNcLOFQ== @@ -5089,6 +5394,15 @@ d3-force@3: d3-quadtree "1 - 3" d3-timer "1 - 3" +d3-force@^2.0.1: + version "2.1.1" + resolved "http://registry.npm.baidu-int.com/d3-force/-/d3-force-2.1.1.tgz#f20ccbf1e6c9e80add1926f09b51f686a8bc0937" + integrity sha1-8gzL8ebJ6ArdGSbwm1H2hqi8CTc= + dependencies: + d3-dispatch "1 - 2" + d3-quadtree "1 - 2" + d3-timer "1 - 2" + d3-format@1: version "1.4.5" resolved "https://registry.yarnpkg.com/d3-format/-/d3-format-1.4.5.tgz#374f2ba1320e3717eb74a9356c67daee17a7edb4" @@ -5123,7 +5437,7 @@ d3-hierarchy@3: resolved "https://registry.yarnpkg.com/d3-hierarchy/-/d3-hierarchy-3.0.1.tgz#0365342d54972e38ca05e9143e0ab1c60846b3b5" integrity sha512-RlLTaofEoOrMK1JoXYIGhKTkJFI/6rFrYPgxy6QlZo2BcVc4HGTqEU0rPpzuMq5T/5XcMtAzv1XiLA3zRTfygw== -d3-interpolate@1: +d3-interpolate@1, d3-interpolate@^1.3.2: version "1.4.0" resolved "https://registry.yarnpkg.com/d3-interpolate/-/d3-interpolate-1.4.0.tgz#526e79e2d80daa383f9e0c1c1c7dcc0f0583e987" integrity sha512-V9znK0zc3jOPV4VD2zZn0sDhZU3WAE2bmlxdIwwQPPzPjvyLkd8B3JUVdS1IDUFDkWZ72c9qnv1GK2ZagTZ8EA== @@ -5162,6 +5476,11 @@ d3-quadtree@1: resolved "https://registry.yarnpkg.com/d3-quadtree/-/d3-quadtree-1.0.7.tgz#ca8b84df7bb53763fe3c2f24bd435137f4e53135" integrity sha512-RKPAeXnkC59IDGD0Wu5mANy0Q2V28L+fNe65pOCXVdVuTJS3WPKaJlFHer32Rbh9gIo9qMuJXio8ra4+YmIymA== +"d3-quadtree@1 - 2": + version "2.0.0" + resolved "http://registry.npm.baidu-int.com/d3-quadtree/-/d3-quadtree-2.0.0.tgz#edbad045cef88701f6fee3aee8e93fb332d30f9d" + integrity sha1-7brQRc74hwH2/uOu6Ok/szLTD50= + "d3-quadtree@1 - 3", d3-quadtree@3: version "3.0.1" resolved "https://registry.yarnpkg.com/d3-quadtree/-/d3-quadtree-3.0.1.tgz#6dca3e8be2b393c9a9d514dabbd80a92deef1a4f" @@ -5266,11 +5585,16 @@ d3-time@1: dependencies: d3-array "2 - 3" -d3-timer@1: +d3-timer@1, d3-timer@^1.0.9: version "1.0.10" resolved "https://registry.yarnpkg.com/d3-timer/-/d3-timer-1.0.10.tgz#dfe76b8a91748831b13b6d9c793ffbd508dd9de5" integrity sha512-B1JDm0XDaQC+uvo4DT79H0XmBskgS3l6Ve+1SBCfxgmtIb1AVrPIoqd+nPSv+loMX8szQ0sVUhGngL7D5QPiXw== +"d3-timer@1 - 2": + version "2.0.0" + resolved "http://registry.npm.baidu-int.com/d3-timer/-/d3-timer-2.0.0.tgz#055edb1d170cfe31ab2da8968deee940b56623e6" + integrity sha1-BV7bHRcM/jGrLaiWje7pQLVmI+Y= + "d3-timer@1 - 3", d3-timer@3: version "3.0.1" resolved "https://registry.yarnpkg.com/d3-timer/-/d3-timer-3.0.1.tgz#6284d2a2708285b1abb7e201eda4380af35e63b0" @@ -5399,7 +5723,7 @@ d3@7.0.1: d3-transition "3" d3-zoom "3" -dagre@0.8.5: +dagre@0.8.5, dagre@^0.8.5: version "0.8.5" resolved "https://registry.yarnpkg.com/dagre/-/dagre-0.8.5.tgz#ba30b0055dac12b6c1fcc247817442777d06afee" integrity sha512-/aTqmnRta7x7MCCpExk7HQL2O4owCT2h8NT//9I1OQ9vt29Pa0BzSAkR5lwFUcQ7491yVi/3CXU9jQ5o0Mn2Sw== @@ -5407,6 +5731,14 @@ dagre@0.8.5: graphlib "^2.1.8" lodash "^4.17.15" +dagrejs@^0.2.1: + version "0.2.1" + resolved "http://registry.npm.baidu-int.com/dagrejs/-/dagrejs-0.2.1.tgz#1d5738c17fe7989ff90983ce845c74599bae6786" + integrity sha1-HVc4wX/nmJ/5CYPOhFx0WZuuZ4Y= + dependencies: + graphlib "^2.1.8" + lodash "^4.17.19" + dargs@^7.0.0: version "7.0.0" resolved "https://registry.yarnpkg.com/dargs/-/dargs-7.0.0.tgz#04015c41de0bcb69ec84050f3d9be0caf8d6d5cc" @@ -5652,6 +5984,11 @@ destroy@^1.0.4, destroy@~1.0.4: resolved 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integrity sha1-CoOtj4bvYqCR4iu1oDnNA9I+7M4= + fetch-blob@^3.1.2: version "3.1.2" resolved "https://registry.yarnpkg.com/fetch-blob/-/fetch-blob-3.1.2.tgz#6bc438675f3851ecea51758ac91f6a1cd1bacabd" @@ -6981,6 +7323,16 @@ gitconfiglocal@^1.0.0: dependencies: ini "^1.3.2" +gl-matrix@^3.0.0, gl-matrix@^3.1.0, gl-matrix@^3.3.0, gl-matrix@^3.4.3: + version "3.4.3" + resolved "http://registry.npm.baidu-int.com/gl-matrix/-/gl-matrix-3.4.3.tgz#fc1191e8320009fd4d20e9339595c6041ddc22c9" + integrity sha1-/BGR6DIACf1NIOkzlZXGBB3cIsk= + +gl-vec2@^1.0.0, gl-vec2@^1.3.0: + version "1.3.0" + resolved "http://registry.npm.baidu-int.com/gl-vec2/-/gl-vec2-1.3.0.tgz#83d472ed46034de8e09cbc857123fb6c81c51199" + integrity sha512-YiqaAuNsheWmUV0Sa8k94kBB0D6RWjwZztyO+trEYS8KzJ6OQB/4686gdrf59wld4hHFIvaxynO3nRxpk1Ij/A== + glob-parent@^3.1.0: version "3.1.0" resolved "https://registry.yarnpkg.com/glob-parent/-/glob-parent-3.1.0.tgz#9e6af6299d8d3bd2bd40430832bd113df906c5ae" @@ -7116,6 +7468,11 @@ graphlib@^2.1.8: dependencies: lodash "^4.17.15" +hammerjs@^2.0.8: + version "2.0.8" + resolved "http://registry.npm.baidu-int.com/hammerjs/-/hammerjs-2.0.8.tgz#04ef77862cff2bb79d30f7692095930222bf60f1" + integrity sha1-BO93hiz/K7edMPdpIJWTAiK/YPE= + handlebars@^4.7.6: version "4.7.7" resolved "https://registry.yarnpkg.com/handlebars/-/handlebars-4.7.7.tgz#9ce33416aad02dbd6c8fafa8240d5d98004945a1" @@ -7642,6 +7999,11 @@ inquirer@^7.3.3: strip-ansi "^6.0.0" through "^2.3.6" +insert-css@^2.0.0: + version "2.0.0" + resolved "http://registry.npm.baidu-int.com/insert-css/-/insert-css-2.0.0.tgz#eb5d1097b7542f4c79ea3060d3aee07d053880f4" + integrity sha1-610Ql7dUL0x56jBg067gfQU4gPQ= + internal-slot@^1.0.3: version "1.0.3" resolved "https://registry.yarnpkg.com/internal-slot/-/internal-slot-1.0.3.tgz#7347e307deeea2faac2ac6205d4bc7d34967f59c" @@ -7666,6 +8028,16 @@ interpret@^2.2.0: resolved "https://registry.yarnpkg.com/interpret/-/interpret-2.2.0.tgz#1a78a0b5965c40a5416d007ad6f50ad27c417df9" integrity sha512-Ju0Bz/cEia55xDwUWEa8+olFpCiQoypjnQySseKtmjNrnps3P+xfpUmGr90T7yjlVJmOtybRvPXhKMbHr+fWnw== +inversify-inject-decorators@^3.1.0: + version "3.1.0" + resolved "http://registry.npm.baidu-int.com/inversify-inject-decorators/-/inversify-inject-decorators-3.1.0.tgz#d9941080bad77cec8a65ee29d905e4d5d73e1e95" + integrity sha1-2ZQQgLrXfOyKZe4p2QXk1dc+HpU= + +inversify@^5.0.1: + version "5.1.1" + resolved "http://registry.npm.baidu-int.com/inversify/-/inversify-5.1.1.tgz#6fbd668c591337404e005a1946bfe0d802c08730" + integrity sha1-b71mjFkTN0BOAFoZRr/g2ALAhzA= + ip@^1.1.5: version "1.1.5" resolved "https://registry.yarnpkg.com/ip/-/ip-1.1.5.tgz#bdded70114290828c0a039e72ef25f5aaec4354a" @@ -7705,6 +8077,11 @@ is-arrayish@^0.2.1: resolved "https://registry.yarnpkg.com/is-arrayish/-/is-arrayish-0.2.1.tgz#77c99840527aa8ecb1a8ba697b80645a7a926a9d" integrity sha1-d8mYQFJ6qOyxqLppe4BkWnqSap0= +is-arrayish@^0.3.1: + version "0.3.2" + resolved 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ml-matrix@^6.4.1: dependencies: ml-array-rescale "^1.3.5" +ml-matrix@^6.5.0: + version "6.8.2" + resolved "http://registry.npm.baidu-int.com/ml-matrix/-/ml-matrix-6.8.2.tgz#79849c909afa114f8227c5b52a2040e2e5381daf" + integrity sha1-eYSckJr6EU+CJ8W1KiBA4uU4Ha8= + dependencies: + ml-array-rescale "^1.3.6" + modify-values@^1.0.0: version "1.0.1" resolved "https://registry.yarnpkg.com/modify-values/-/modify-values-1.0.1.tgz#b3939fa605546474e3e3e3c63d64bd43b4ee6022" @@ -10406,6 +10799,20 @@ polished@4.1.3: dependencies: "@babel/runtime" "^7.14.0" +polyline-miter-util@^1.0.1: + version "1.0.1" + resolved "http://registry.npm.baidu-int.com/polyline-miter-util/-/polyline-miter-util-1.0.1.tgz#b693f2389ea0ded36a6bcf5ecd2ece4b6917d957" + integrity sha1-tpPyOJ6g3tNqa89ezS7OS2kX2Vc= + dependencies: + gl-vec2 "^1.0.0" + +polyline-normals@^2.0.2: + version "2.0.2" + resolved "http://registry.npm.baidu-int.com/polyline-normals/-/polyline-normals-2.0.2.tgz#a1737e75d8c0dccb1a591f9cb27f09eef4b7d135" + integrity sha1-oXN+ddjA3MsaWR+csn8J7vS30TU= + dependencies: + polyline-miter-util "^1.0.1" + portfinder@^1.0.28: version "1.0.28" resolved "https://registry.yarnpkg.com/portfinder/-/portfinder-1.0.28.tgz#67c4622852bd5374dd1dd900f779f53462fac778" @@ -10547,6 +10954,14 @@ pretty-format@^27.0.2: ansi-styles "^5.0.0" react-is "^17.0.1" +probe.gl@^3.1.1: + version "3.4.1" + resolved "http://registry.npm.baidu-int.com/probe.gl/-/probe.gl-3.4.1.tgz#88d8629fbac5a627049d6fdc6b8c364d56f00815" + integrity sha1-iNhin7rFpicEnW/ca4w2TVbwCBU= + dependencies: + "@babel/runtime" "^7.0.0" + "@probe.gl/stats" "3.4.1" + proc-log@^1.0.0: version "1.0.0" resolved "https://registry.yarnpkg.com/proc-log/-/proc-log-1.0.0.tgz#0d927307401f69ed79341e83a0b2c9a13395eb77" @@ -11181,6 +11596,11 @@ redux@^4.0.0, redux@^4.0.5: dependencies: "@babel/runtime" "^7.9.2" +reflect-metadata@^0.1.13: + version "0.1.13" + resolved "http://registry.npm.baidu-int.com/reflect-metadata/-/reflect-metadata-0.1.13.tgz#67ae3ca57c972a2aa1642b10fe363fe32d49dc08" + integrity sha1-Z648pXyXKiqhZCsQ/jY/4y1J3Ag= + regenerator-runtime@^0.13.4: version "0.13.7" resolved "https://registry.yarnpkg.com/regenerator-runtime/-/regenerator-runtime-0.13.7.tgz#cac2dacc8a1ea675feaabaeb8ae833898ae46f55" @@ -11221,6 +11641,11 @@ registry-url@^5.0.0: dependencies: rc "^1.2.8" +regl@^1.3.11: + version "1.7.0" + resolved "http://registry.npm.baidu-int.com/regl/-/regl-1.7.0.tgz#0d185431044a356bf80e9b775b11b935ef2746d3" + integrity sha1-DRhUMQRKNWv4Dpt3WxG5Ne8nRtM= + relateurl@^0.2.7: version "0.2.7" resolved "https://registry.yarnpkg.com/relateurl/-/relateurl-0.2.7.tgz#54dbf377e51440aca90a4cd274600d3ff2d888a9" @@ -11708,6 +12133,13 @@ signal-exit@^3.0.0, signal-exit@^3.0.2, signal-exit@^3.0.3: resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-3.0.3.tgz#a1410c2edd8f077b08b4e253c8eacfcaf057461c" integrity 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"https://registry.yarnpkg.com/snowpack/-/snowpack-3.8.8.tgz#237f1c0ad49c68313864f3aa4438db3affee0806" @@ -12519,6 +12956,11 @@ tiny-warning@^1.0.0, tiny-warning@^1.0.3: resolved "https://registry.yarnpkg.com/tiny-warning/-/tiny-warning-1.0.3.tgz#94a30db453df4c643d0fd566060d60a875d84754" integrity sha512-lBN9zLN/oAf68o3zNXYrdCt1kP8WsiGW8Oo2ka41b2IM5JL/S1CTyX1rW0mb/zSuJun0ZUrDxx4sqvYS2FWzPA== +tinycolor2@^1.4.1: + version "1.4.2" + resolved "http://registry.npm.baidu-int.com/tinycolor2/-/tinycolor2-1.4.2.tgz#3f6a4d1071ad07676d7fa472e1fac40a719d8803" + integrity sha1-P2pNEHGtB2dtf6Ry4frECnGdiAM= + tippy.js@6.3.1, tippy.js@^6.3.1: version "6.3.1" resolved "https://registry.yarnpkg.com/tippy.js/-/tippy.js-6.3.1.tgz#3788a007be7015eee0fd589a66b98fb3f8f10181" @@ -12657,16 +13099,16 @@ tslib@^1.8.1, tslib@^1.9.0: resolved "https://registry.yarnpkg.com/tslib/-/tslib-1.14.1.tgz#cf2d38bdc34a134bcaf1091c41f6619e2f672d00" integrity 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