04021502

Dockerfile

@@ -1,65 +1,17 @@
-# ===================== 第一阶段：构建 Python 3.12 环境 =====================
-FROM centos:xnyV1.3 AS python-builder
+# 基础镜像
+FROM centos:syjyV1.3
 
-# 配置阿里云 yum 源（确保容器内 yum 可用）
-RUN curl -o /etc/yum.repos.d/CentOS-Base.repo http://mirrors.aliyun.com/repo/Centos-7.repo && \
-    sed -i -e '/mirrors.cloud.aliyuncs.com/d' -e '/mirrors.aliyuncs.com/d' /etc/yum.repos.d/CentOS-Base.repo && \
-    yum clean all && yum makecache
+# 设置 PYTHONPATH
+ENV PYTHONPATH="/home/app:${PYTHONPATH}"
 
-# 安装 Python 编译依赖
-RUN yum install -y \
-    gcc make openssl-devel bzip2-devel libffi-devel zlib-devel \
-    sqlite-devel readline-devel xz-devel tk-devel libnsl-devel \
-    libtirpc-devel wget
+# 设置工作目录
+WORKDIR /home/app
 
-# 下载并编译 Python 3.12（直接使用官方源，避免校验失败）
-RUN cd /tmp && \
-    wget https://mirrors.huaweicloud.com/python/3.12.0/Python-3.12.0.tgz && \
-    echo "51412956d86a61d1a7d227873d2b3697e1fccc16d7b3b5e2b6a8cd372d74edb9 Python-3.12.0.tgz" | sha256sum -c - && \
-    tar xzf Python-3.12.0.tgz && \
-    cd Python-3.12.0 && \
-    ./configure \
-        --enable-optimizations \
-        --with-lto=no \
-        --enable-shared \
-        --with-system-expat \
-        --with-system-ffi \
-        --with-ensurepip=yes \
-        --enable-ipv6 && \
-    make -j$(($(nproc)-1)) altinstall && \
-    ldconfig && \
-    ln -sf /usr/local/bin/python3.12 /usr/local/bin/python3 && \
-    ln -sf /usr/local/bin/pip3.12 /usr/local/bin/pip3
-
-# ===================== 第二阶段：构建最终应用镜像 =====================
-FROM centos:xnyV1.3
-
-# 1. 从 Python 构建阶段复制环境
-COPY --from=python-builder /usr/local/ /usr/local/
-
-# 2. 修复共享库链接
-RUN ldconfig && \
-    ln -sf /usr/local/bin/python3.12 /usr/local/bin/python3 && \
-    ln -sf /usr/local/bin/pip3.12 /usr/local/bin/pip3
-
-# 3. 安装 MongoDB
-RUN echo -e "[mongodb-org-6.0]\n\
-name=MongoDB Repository\n\
-baseurl=https://repo.mongodb.org/yum/redhat/7/mongodb-org/6.0/x86_64/\n\
-gpgcheck=1\n\
-enabled=1\n\
-gpgkey=https://www.mongodb.org/static/pgp/server-6.0.asc" \
-    > /etc/yum.repos.d/mongodb-org-6.0.repo && \
-    yum install -y mongodb-org && \
-    mkdir -p /data/db && chown mongod:mongod /data/db
-
-# 4. 设置工作目录并复制应用代码
-WORKDIR /app
+# 复制应用程序
 COPY ./app/ .
 
-# 5. 安装 Python 依赖
-COPY app/requirements.txt .
-RUN pip3 install --no-cache-dir -r requirements.txt
+# 编译所有 .py 文件为 .pyc（-b 表示生成在源码同级目录，而非 __pycache__）
+RUN python -m compileall -b .
 
-# 6. 启动脚本（同时启动 MongoDB 和 Python 应用）
-CMD ["sh", "-c", "mongod --fork --logpath /var/log/mongodb.log"]
+# 删除所有 .py 文件（保留 .pyc）
+RUN find . -type f -name "*.py" -delete

Dockerfile1

@@ -1,57 +0,0 @@
-# 使用官方CentOS 7基础镜像
-FROM centos:xnyV1.3
-RUN curl -o /etc/yum.repos.d/CentOS-Base.repo http://mirrors.aliyun.com/repo/Centos-7.repo && \
-    sed -i -e '/mirrors.cloud.aliyuncs.com/d' -e '/mirrors.aliyuncs.com/d' /etc/yum.repos.d/CentOS-Base.repo && \
-    yum clean all && \
-    yum makecache \
-
-# 安装基础依赖
-RUN yum -y update && \
-    yum -y install \
-    openssl-devel \
-    bzip2-devel \
-    libffi-devel \
-    zlib-devel \
-    sqlite-devel \
-    readline-devel \
-    xz-devel \
-    tk-devel \
-    libnsl2-devel \
-    libtirpc-devel \
-    gcc-c++ \
-    && yum clean all
-
-# 安装Python 3.12
-RUN cd /tmp && \
-    wget https://mirrors.huaweicloud.com/python/3.12.0/Python-3.12.0.tgz && \
-    echo "51412956d86a61d1a7d227873d2b3697e1fccc16d7b3b5e2b6a8cd372d74edb9 Python-3.12.0.tgz" | sha256sum -c - && \
-    tar xzf Python-3.12.0.tgz \
-    cd Python-3.12.0 && \
-    ./configure \
-        --enable-optimizations \
-        --with-lto=no \
-        --enable-shared \
-        --with-system-expat \
-        --with-system-ffi \
-        --with-ensurepip=yes \
-        --enable-ipv6 && \
-    make -j$(($(nproc)-1)) altinstall && \
-    ldconfig && \
-    ln -s /usr/local/bin/python3.12 /usr/local/bin/python3 && \
-    ln -s /usr/local/bin/pip3.12 /usr/local/bin/pip3
-# 安装MongoDB
-RUN echo -e "[mongodb-org-6.0]\nname=MongoDB Repository\nbaseurl=https://repo.mongodb.org/yum/redhat/7/mongodb-org/6.0/x86_64/\ngpgcheck=1\nenabled=1\ngpgkey=https://www.mongodb.org/static/pgp/server-6.0.asc" > /etc/yum.repos.d/mongodb-org-6.0.repo && \
-    yum -y install mongodb-org && \
-    mkdir -p /data/db && \
-    chown -R mongod:mongod /data/db \
-
-WORKDIR /home/app
-# 部署应用程序
-COPY ./app/ .
-
-# 安装Python依赖
-RUN pip3 install --no-cache-dir -r /app/requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
-
-# 配置容器启动
-EXPOSE 27017
-CMD ["sh", "-c", "mongod --fork --logpath /var/log/mongodb.log"]

Dockerfile2

@@ -1,14 +0,0 @@
-# 基础镜像
-FROM centos:syjyV1.1
-
-# 设置工作目录
-WORKDIR /home/app
-
-# 复制应用程序
-COPY ./app/ .
-
-# 安装Python依赖
-RUN pip3 install --no-cache-dir -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
-
-# 启动命令
-CMD ["sh", "-c", "mongod --fork --logpath /var/log/mongodb.log"]

app/common/__init__.py

@@ -0,0 +1,8 @@
+#!/usr/bin/env python
+# -*- coding:utf-8 -*-
+# @FileName  :__init__.py
+# @Time      :2025/4/2 14:03
+# @Author    :David
+# @Company: shenyang JY
+
+

app/logs/2025-03-12/south-forecast.2025-03-12.0.log

@@ -1,146 +0,0 @@
-2025-03-12 08:33:54,280 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-12 08:34:12,481 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-12 08:34:44,794 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-12 08:34:48,826 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-12 08:35:18,502 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-12 08:36:58,641 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-12 08:37:56,560 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-12 08:38:35,572 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-12 08:39:21,276 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-12 08:40:49,875 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-12 08:41:26,419 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-12 08:42:36,685 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-12 08:44:24,362 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-12 08:45:06,742 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-12 08:45:06,852 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-12 08:45:06,852 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-12 08:45:06,864 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-12 08:45:06,864 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-12 08:45:06,870 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-12 08:45:06,870 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-12 08:45:06,881 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-12 08:45:06,881 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-12 08:45:06,881 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-12 08:45:06,881 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-12 08:45:06,914 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-12 08:45:06,914 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-12 08:45:06,915 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-12 08:45:06,915 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-12 08:45:06,915 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-12 08:45:06,915 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-12 08:45:06,916 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-12 08:45:06,916 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-12 08:45:06,917 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-12 08:45:06,917 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-12 08:45:06,917 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-12 08:45:06,917 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-12 08:45:06,920 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,920 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,920 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-12 08:45:06,920 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-12 08:45:06,925 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,925 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,925 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-12 08:45:06,925 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-12 08:45:06,926 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,926 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,926 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-12 08:45:06,926 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-12 08:45:06,926 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,926 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,927 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-12 08:45:06,927 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-12 08:45:06,927 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,927 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,927 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-12 08:45:06,927 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-12 08:45:06,928 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,928 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,928 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-12 08:45:06,928 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-12 08:45:06,929 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,929 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,929 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-12 08:45:06,929 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-12 08:45:06,930 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,930 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,930 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-12 08:45:06,930 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-12 08:45:06,930 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-12 08:45:06,930 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-12 08:45:06,943 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,943 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,943 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-12 08:45:06,943 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-12 08:45:06,944 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,944 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-12 08:45:06,944 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-12 08:45:06,944 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-12 08:45:06,945 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-12 08:45:06,945 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-12 08:45:06,946 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-12 08:45:06,946 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-12 08:45:06,946 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-12 08:45:06,946 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-12 08:45:06,946 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-12 08:45:06,946 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-12 08:45:06,947 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-12 08:45:06,947 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-12 08:45:06,947 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-12 08:45:06,947 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-12 08:45:06,947 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-12 08:45:06,947 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-12 08:45:06,947 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-12 08:45:06,947 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-12 08:45:06,948 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-12 08:45:06,948 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-12 08:45:06,948 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-12 08:45:06,948 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-12 08:45:06,949 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-12 08:45:06,949 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-12 08:45:09,257 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-12 08:45:09,257 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-12 08:45:09,257 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-12 08:45:09,257 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-12 08:45:09,257 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-12 08:45:09,257 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-12 08:45:09,257 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-12 08:45:09,257 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-12 08:45:09,257 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-12 08:45:09,257 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-12 08:45:09,257 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-12 08:45:09,257 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-12 08:45:09,257 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-12 08:45:09,257 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-12 08:45:09,258 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-12 08:45:09,258 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-12 08:45:14,704 - tf_lstm.py - INFO - -----模型训练经过19轮迭代----- - training
-2025-03-12 08:45:14,704 - tf_lstm.py - INFO - -----模型训练经过19轮迭代----- - training
-2025-03-12 08:45:14,705 - tf_lstm.py - INFO - 训练集损失函数为：[0.63415 0.26059 0.22963 0.22361 0.21993 0.21915 0.2187  0.21845 0.21829
- 0.21818 0.2181  0.21804 0.21799 0.21795 0.21791 0.21787 0.21784 0.21781
- 0.21779] - training
-2025-03-12 08:45:14,705 - tf_lstm.py - INFO - 训练集损失函数为：[0.63415 0.26059 0.22963 0.22361 0.21993 0.21915 0.2187  0.21845 0.21829
- 0.21818 0.2181  0.21804 0.21799 0.21795 0.21791 0.21787 0.21784 0.21781
- 0.21779] - training
-2025-03-12 08:45:14,705 - tf_lstm.py - INFO - 验证集损失函数为：[0.3779  0.29081 0.26585 0.26052 0.25942 0.25902 0.25886 0.25881 0.2588
- 0.25881 0.25883 0.25885 0.25888 0.2589  0.25892 0.25894 0.25896 0.25898
- 0.259  ] - training
-2025-03-12 08:45:14,705 - tf_lstm.py - INFO - 验证集损失函数为：[0.3779  0.29081 0.26585 0.26052 0.25942 0.25902 0.25886 0.25881 0.2588
- 0.25881 0.25883 0.25885 0.25888 0.2589  0.25892 0.25894 0.25896 0.25898
- 0.259  ] - training
-2025-03-12 08:45:14,706 - saving_api.py - WARNING - The `save_format` argument is deprecated in Keras 3. We recommend removing this argument as it can be inferred from the file path. Received: save_format=h5 - save_model
-2025-03-12 08:45:14,706 - saving_api.py - WARNING - The `save_format` argument is deprecated in Keras 3. We recommend removing this argument as it can be inferred from the file path. Received: save_format=h5 - save_model
-2025-03-12 08:45:14,706 - saving_api.py - WARNING - You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`.  - save_model
-2025-03-12 08:45:14,706 - saving_api.py - WARNING - You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`.  - save_model
-2025-03-12 08:46:41,315 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-12 08:47:43,615 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-12 08:52:20,117 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-12 08:52:20,294 - saving_utils.py - WARNING - Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model. - try_build_compiled_arguments
-2025-03-12 08:52:20,294 - saving_utils.py - WARNING - Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model. - try_build_compiled_arguments
-2025-03-12 08:52:20,595 - tf_lstm.py - INFO - 执行预测方法 - predict
-2025-03-12 08:52:20,595 - tf_lstm.py - INFO - 执行预测方法 - predict
-2025-03-12 08:52:52,426 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-12 08:52:52,579 - saving_utils.py - WARNING - Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model. - try_build_compiled_arguments
-2025-03-12 08:52:52,579 - saving_utils.py - WARNING - Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model. - try_build_compiled_arguments
-2025-03-12 08:52:52,869 - tf_lstm.py - INFO - 执行预测方法 - predict
-2025-03-12 08:52:52,869 - tf_lstm.py - INFO - 执行预测方法 - predict

app/logs/2025-03-24/south-forecast.2025-03-24.0.log

@@ -1,2463 +0,0 @@
-2025-03-24 10:13:51,590 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 13:44:46,387 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 13:44:46,532 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 13:44:46,532 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 13:44:46,544 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 13:44:46,544 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 13:44:46,551 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 13:44:46,551 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 13:44:46,573 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 13:44:46,573 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 13:44:46,573 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 13:44:46,573 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 13:44:46,607 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 13:44:46,607 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 13:44:46,607 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 13:44:46,607 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 13:44:46,608 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 13:44:46,608 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 13:44:46,609 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 13:44:46,609 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 13:44:46,609 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 13:44:46,609 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 13:44:46,609 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 13:44:46,609 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 13:44:46,612 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,612 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,613 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 13:44:46,613 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 13:44:46,618 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,618 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,618 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 13:44:46,618 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 13:44:46,618 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,618 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,618 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 13:44:46,618 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 13:44:46,620 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,620 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,620 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 13:44:46,620 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 13:44:46,621 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,621 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,621 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 13:44:46,621 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 13:44:46,621 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,621 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,621 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 13:44:46,621 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 13:44:46,622 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,622 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,622 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 13:44:46,622 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 13:44:46,623 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,623 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,623 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 13:44:46,623 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 13:44:46,623 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 13:44:46,623 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 13:44:46,636 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,636 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,636 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 13:44:46,636 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 13:44:46,637 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,637 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 13:44:46,637 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 13:44:46,637 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 13:44:46,638 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 13:44:46,638 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 13:44:46,639 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:44:46,639 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:44:46,639 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 13:44:46,639 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 13:44:46,639 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:44:46,639 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:44:46,639 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 13:44:46,639 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 13:44:46,639 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:44:46,639 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:44:46,640 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 13:44:46,640 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 13:44:46,640 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:44:46,640 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:44:46,640 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 13:44:46,640 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 13:44:46,640 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 13:44:46,640 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 13:44:46,641 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 13:44:46,641 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 13:45:18,643 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 13:45:29,509 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 13:45:29,509 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 13:45:30,903 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 13:45:30,903 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 13:45:32,707 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 13:45:32,707 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 13:46:39,831 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 13:46:45,627 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 13:46:45,627 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 13:51:45,261 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 13:51:53,136 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 13:51:53,136 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 13:52:00,456 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 13:52:00,456 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 13:52:01,275 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 13:52:01,275 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 13:52:02,405 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 13:52:02,405 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 13:52:35,673 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 13:52:35,673 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 13:52:35,674 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 13:52:35,674 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 13:52:35,717 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 13:52:35,717 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 13:52:35,717 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 13:52:35,717 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 13:52:35,717 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 13:52:35,717 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 13:52:35,719 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 13:52:35,719 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 13:52:35,719 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 13:52:35,719 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 13:52:35,720 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 13:52:35,720 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 13:52:35,724 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,724 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,725 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 13:52:35,725 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 13:52:35,731 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,731 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,732 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 13:52:35,732 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 13:52:35,733 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,733 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,733 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 13:52:35,733 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 13:52:35,734 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,734 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,735 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 13:52:35,735 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 13:52:35,736 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,736 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,736 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 13:52:35,736 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 13:52:35,737 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,737 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,737 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 13:52:35,737 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 13:52:35,738 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,738 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,739 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 13:52:35,739 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 13:52:35,740 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,740 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,740 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 13:52:35,740 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 13:52:35,740 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 13:52:35,740 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 13:52:35,757 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,757 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,758 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 13:52:35,758 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 13:52:35,759 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,759 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 13:52:35,760 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 13:52:35,760 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 13:52:35,762 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 13:52:35,762 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 13:52:35,762 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:52:35,762 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:52:35,763 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 13:52:35,763 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 13:52:35,763 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:52:35,763 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:52:35,765 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 13:52:35,765 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 13:52:35,765 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:52:35,765 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:52:35,766 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 13:52:35,766 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 13:52:35,766 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:52:35,766 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:52:35,766 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 13:52:35,766 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 13:52:35,766 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 13:52:35,766 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 13:52:35,769 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 13:52:35,769 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 13:55:48,345 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 13:56:03,005 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 13:56:03,005 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 13:56:39,018 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 13:56:39,018 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 13:56:39,914 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 13:56:39,914 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 13:57:44,922 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 13:57:44,922 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 13:58:13,514 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 13:58:13,514 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 13:58:13,514 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 13:58:13,514 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 13:58:13,563 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 13:58:13,563 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 13:58:13,564 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 13:58:13,564 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 13:58:13,564 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 13:58:13,564 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 13:58:13,566 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 13:58:13,566 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 13:58:13,567 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 13:58:13,567 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 13:58:13,567 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 13:58:13,567 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 13:58:13,572 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,572 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,572 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 13:58:13,572 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 13:58:13,580 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,580 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,580 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 13:58:13,580 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 13:58:13,581 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,581 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,582 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 13:58:13,582 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 13:58:13,583 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,583 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,583 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 13:58:13,583 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 13:58:13,585 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,585 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,585 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 13:58:13,585 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 13:58:13,586 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,586 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,587 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 13:58:13,587 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 13:58:13,588 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,588 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,588 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 13:58:13,588 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 13:58:13,589 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,589 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,590 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 13:58:13,590 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 13:58:13,590 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 13:58:13,590 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 13:58:13,610 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,610 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,610 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 13:58:13,610 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 13:58:13,612 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,612 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 13:58:13,612 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 13:58:13,612 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 13:58:13,614 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 13:58:13,614 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 13:58:13,615 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:58:13,615 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:58:13,616 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 13:58:13,616 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 13:58:13,616 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:58:13,616 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:58:13,617 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 13:58:13,617 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 13:58:13,617 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:58:13,617 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:58:13,618 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 13:58:13,618 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 13:58:13,619 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:58:13,619 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 13:58:13,619 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 13:58:13,619 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 13:58:13,620 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 13:58:13,620 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 13:58:13,622 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 13:58:13,622 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 13:58:50,311 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 14:00:20,832 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:00:20,832 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:00:26,349 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:00:26,349 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:00:27,004 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
-2025-03-24 14:00:27,004 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
-2025-03-24 14:00:27,800 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:00:27,800 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:00:33,614 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:00:33,614 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:00:33,614 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:00:33,614 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:00:33,658 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:00:33,658 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:00:33,659 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:00:33,659 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:00:33,659 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:00:33,659 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:00:33,661 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:00:33,661 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:00:33,661 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:00:33,661 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:00:33,661 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:00:33,661 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:00:33,666 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,666 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,666 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:00:33,666 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:00:33,673 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,673 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,673 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:00:33,673 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:00:33,674 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,674 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,674 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:00:33,674 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:00:33,675 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,675 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,677 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:00:33,677 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:00:33,678 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,678 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,678 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:00:33,678 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:00:33,679 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,679 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,679 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:00:33,679 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:00:33,681 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,681 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,681 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:00:33,681 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:00:33,682 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,682 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,682 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:00:33,682 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:00:33,682 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:00:33,682 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:00:33,699 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,699 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,700 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:00:33,700 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:00:33,702 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,702 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:00:33,703 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:00:33,703 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:00:33,704 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:00:33,704 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:00:33,705 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:00:33,705 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:00:33,705 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:00:33,705 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:00:33,705 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:00:33,705 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:00:33,706 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:00:33,706 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:00:33,707 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:00:33,707 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:00:33,707 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:00:33,707 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:00:33,708 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:00:33,708 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:00:33,709 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:00:33,709 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:00:33,709 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:00:33,709 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:00:33,710 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:00:33,710 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:01:32,184 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 14:02:07,495 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:02:07,495 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:02:09,451 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:02:09,451 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:02:10,109 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 14:02:10,109 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 14:02:10,924 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:02:10,924 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:02:14,842 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:02:14,842 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:02:14,843 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:02:14,843 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:02:14,888 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:02:14,888 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:02:14,888 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:02:14,888 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:02:14,888 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:02:14,888 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:02:14,891 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:02:14,891 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:02:14,891 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:02:14,891 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:02:14,891 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:02:14,891 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:02:14,896 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,896 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,896 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:02:14,896 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:02:14,903 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,903 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,903 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:02:14,903 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:02:14,904 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,904 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,905 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:02:14,905 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:02:14,906 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,906 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,906 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:02:14,906 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:02:14,907 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,907 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,908 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:02:14,908 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:02:14,909 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,909 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,909 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:02:14,909 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:02:14,910 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,910 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,910 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:02:14,910 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:02:14,911 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,911 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,912 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:02:14,912 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:02:14,912 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:02:14,912 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:02:14,931 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,931 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,931 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:02:14,931 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:02:14,933 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,933 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:02:14,933 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:02:14,933 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:02:14,935 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:02:14,935 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:02:14,936 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:02:14,936 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:02:14,937 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:02:14,937 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:02:14,937 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:02:14,937 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:02:14,938 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:02:14,938 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:02:14,938 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:02:14,938 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:02:14,939 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:02:14,939 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:02:14,939 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:02:14,939 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:02:14,940 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:02:14,940 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:02:14,940 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:02:14,940 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:02:14,942 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:02:14,942 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:02:41,601 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 14:02:47,704 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:02:47,704 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:02:52,172 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:02:52,172 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:02:53,128 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 14:02:53,128 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 14:02:54,050 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:02:54,050 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:03:03,386 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:03:03,386 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:03:03,387 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:03:03,387 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:03:03,434 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:03:03,434 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:03:03,435 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:03:03,435 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:03:03,435 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:03:03,435 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:03:03,437 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:03:03,437 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:03:03,437 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:03:03,437 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:03:03,437 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:03:03,437 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:03:03,442 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,442 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,442 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:03:03,442 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:03:03,449 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,449 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,449 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:03:03,449 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:03:03,450 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,450 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,451 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:03:03,451 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:03:03,452 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,452 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,452 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:03:03,452 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:03:03,453 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,453 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,453 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:03:03,453 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:03:03,455 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,455 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,455 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:03:03,455 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:03:03,456 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,456 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,456 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:03:03,456 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:03:03,457 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,457 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,458 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:03:03,458 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:03:03,458 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:03:03,458 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:03:03,476 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,476 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,477 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:03:03,477 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:03:03,478 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,478 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:03:03,479 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:03:03,479 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:03:03,481 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:03:03,481 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:03:03,481 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:03:03,481 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:03:03,482 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:03:03,482 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:03:03,482 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:03:03,482 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:03:03,483 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:03:03,483 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:03:03,483 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:03:03,483 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:03:03,484 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:03:03,484 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:03:03,484 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:03:03,484 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:03:03,485 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:03:03,485 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:03:03,485 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:03:03,485 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:03:03,487 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:03:03,487 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:03:45,798 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 14:05:50,352 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:05:50,352 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:05:52,582 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:05:52,582 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:05:53,485 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
-2025-03-24 14:05:53,485 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
-2025-03-24 14:05:57,432 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:05:57,432 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:06:01,623 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:06:01,623 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:06:01,624 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:06:01,624 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:06:01,668 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:06:01,668 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:06:01,669 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:06:01,669 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:06:01,669 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:06:01,669 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:06:01,671 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:06:01,671 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:06:01,671 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:06:01,671 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:06:01,671 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:06:01,671 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:06:01,676 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,676 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,676 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:06:01,676 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:06:01,683 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,683 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,684 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:06:01,684 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:06:01,685 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,685 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,685 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:06:01,685 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:06:01,686 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,686 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,686 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:06:01,686 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:06:01,687 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,687 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,688 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:06:01,688 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:06:01,689 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,689 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,689 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:06:01,689 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:06:01,690 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,690 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,691 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:06:01,691 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:06:01,692 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,692 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,692 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:06:01,692 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:06:01,692 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:06:01,692 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:06:01,709 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,709 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,710 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:06:01,710 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:06:01,711 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,711 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:06:01,712 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:06:01,712 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:06:01,714 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:06:01,714 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:06:01,714 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:06:01,714 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:06:01,715 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:06:01,715 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:06:01,715 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:06:01,715 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:06:01,716 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:06:01,716 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:06:01,716 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:06:01,716 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:06:01,717 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:06:01,717 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:06:01,717 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:06:01,717 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:06:01,720 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:06:01,720 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:06:01,720 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:06:01,720 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:06:01,722 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:06:01,722 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:06:47,048 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 14:06:47,139 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:06:47,139 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:06:47,193 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:06:47,193 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:06:47,202 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
-2025-03-24 14:06:47,202 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
-2025-03-24 14:06:47,216 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:06:47,216 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:06:47,226 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:06:47,226 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:06:47,227 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:06:47,227 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:06:47,259 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:06:47,259 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:06:47,259 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:06:47,259 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:06:47,259 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:06:47,259 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:06:47,261 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:06:47,261 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:06:47,261 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:06:47,261 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:06:47,261 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:06:47,261 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:06:47,264 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,264 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,265 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:06:47,265 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:06:47,271 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,271 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,271 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:06:47,271 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:06:47,272 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,272 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,272 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:06:47,272 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:06:47,273 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,273 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,273 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:06:47,273 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:06:47,274 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,274 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,274 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:06:47,274 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:06:47,275 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,275 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,275 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:06:47,275 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:06:47,276 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,276 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,276 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:06:47,276 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:06:47,277 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,277 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,277 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:06:47,277 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:06:47,277 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:06:47,277 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:06:47,290 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,290 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,290 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:06:47,290 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:06:47,292 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,292 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:06:47,292 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:06:47,292 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:06:47,294 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:06:47,294 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:06:47,294 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:06:47,294 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:06:47,295 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:06:47,295 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:06:47,295 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:06:47,295 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:06:47,296 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:06:47,296 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:06:47,296 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:06:47,296 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:06:47,296 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:06:47,296 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:06:47,297 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:06:47,297 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:06:47,298 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:06:47,298 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:06:47,298 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:06:47,298 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:06:47,299 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:06:47,299 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:06:47,314 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,314 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,317 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 14:06:47,317 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 14:06:47,319 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,319 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,320 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,320 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,321 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,321 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,322 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,322 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,324 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,324 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,325 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,325 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,326 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 14:06:47,326 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 14:06:47,328 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,328 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,329 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,329 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,330 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,330 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,331 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,331 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,332 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,332 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,333 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,333 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 14:06:47,333 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 14:06:47,333 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 14:08:23,701 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 14:08:33,180 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:08:33,180 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:09:10,234 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:09:10,234 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:09:11,058 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
-2025-03-24 14:09:11,058 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
-2025-03-24 14:09:18,484 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:09:18,484 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:09:26,287 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:09:26,287 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:09:26,288 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:09:26,288 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:09:26,337 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:09:26,337 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:09:26,337 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:09:26,337 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:09:26,337 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:09:26,337 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:09:26,340 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:09:26,340 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:09:26,340 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:09:26,340 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:09:26,341 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:09:26,341 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:09:26,345 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,345 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,346 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:09:26,346 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:09:26,352 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,352 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,353 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:09:26,353 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:09:26,354 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,354 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,354 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:09:26,354 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:09:26,355 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,355 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,355 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:09:26,355 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:09:26,356 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,356 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,356 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:09:26,356 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:09:26,358 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,358 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,358 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:09:26,358 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:09:26,360 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,360 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,360 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:09:26,360 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:09:26,361 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,361 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,361 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:09:26,361 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:09:26,361 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:09:26,361 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:09:26,378 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,378 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,378 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:09:26,378 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:09:26,380 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,380 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:09:26,380 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:09:26,380 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:09:26,383 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:09:26,383 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:09:26,384 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:09:26,384 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:09:26,384 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:09:26,384 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:09:26,385 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:09:26,385 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:09:26,386 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:09:26,386 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:09:26,386 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:09:26,386 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:09:26,387 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:09:26,387 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:09:26,387 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:09:26,387 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:09:26,388 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:09:26,388 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:09:26,388 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:09:26,388 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:09:26,390 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:09:26,390 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:09:48,716 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 14:09:48,716 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:10,085 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 14:10:10,085 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 14:10:15,635 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,635 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,640 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,640 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,646 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,646 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,651 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,651 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,656 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,656 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,661 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,661 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,668 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 14:10:15,668 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 14:10:15,673 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,673 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,678 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,678 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,683 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,683 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,688 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,688 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,693 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,693 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,698 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,698 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 14:10:15,698 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 14:10:15,698 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 14:14:47,904 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 14:15:26,351 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:15:26,351 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:15:33,842 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:15:33,842 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:15:34,623 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 14:15:34,623 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 14:15:35,632 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:15:35,632 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:15:52,668 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:15:52,668 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:15:52,669 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:15:52,669 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:15:52,719 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:15:52,719 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:15:52,720 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:15:52,720 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:15:52,720 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:15:52,720 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:15:52,721 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:15:52,721 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:15:52,722 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:15:52,722 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:15:52,722 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:15:52,722 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:15:52,727 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,727 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,727 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:15:52,727 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:15:52,735 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,735 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,736 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:15:52,736 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:15:52,737 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,737 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,737 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:15:52,737 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:15:52,738 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,738 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,739 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:15:52,739 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:15:52,740 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,740 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,740 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:15:52,740 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:15:52,741 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,741 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,741 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:15:52,741 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:15:52,742 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,742 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,743 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:15:52,743 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:15:52,744 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,744 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,744 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:15:52,744 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:15:52,744 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:15:52,744 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:15:52,761 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,761 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,762 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:15:52,762 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:15:52,764 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,764 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:15:52,764 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:15:52,764 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:15:52,766 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:15:52,766 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:15:52,766 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:15:52,766 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:15:52,767 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:15:52,767 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:15:52,767 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:15:52,767 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:15:52,768 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:15:52,768 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:15:52,768 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:15:52,768 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:15:52,769 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:15:52,769 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:15:52,770 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:15:52,770 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:15:52,771 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:15:52,771 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:15:52,771 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:15:52,771 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:15:52,773 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:15:52,773 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:16:15,850 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,850 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,858 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 14:16:15,858 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 14:16:15,863 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,863 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,869 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,869 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,874 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,874 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,879 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,879 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,884 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,884 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,889 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,889 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,895 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 14:16:15,895 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 14:16:15,900 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,900 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,905 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,905 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,910 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,910 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,914 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,914 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,920 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,920 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,925 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,925 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 14:16:15,925 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 14:16:15,925 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 14:17:08,386 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 14:17:08,478 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:17:08,478 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:17:08,533 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:17:08,533 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:17:08,542 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 14:17:08,542 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 14:17:08,558 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:17:08,558 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:17:08,568 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:17:08,568 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:17:08,569 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:17:08,569 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:17:08,603 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:17:08,603 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:17:08,604 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:17:08,604 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:17:08,604 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:17:08,604 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:17:08,605 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:17:08,605 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:17:08,605 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:17:08,605 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:17:08,605 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:17:08,605 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:17:08,609 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,609 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,609 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:17:08,609 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:17:08,615 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,615 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,615 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:17:08,615 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:17:08,616 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,616 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,616 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:17:08,616 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:17:08,617 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,617 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,617 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:17:08,617 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:17:08,618 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,618 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,618 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:17:08,618 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:17:08,619 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,619 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,619 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:17:08,619 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:17:08,620 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,620 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,620 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:17:08,620 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:17:08,621 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,621 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,621 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:17:08,621 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:17:08,621 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:17:08,621 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:17:08,635 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,635 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,635 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:17:08,635 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:17:08,637 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,637 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:17:08,637 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:17:08,637 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:17:08,638 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:17:08,638 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:17:08,638 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:17:08,638 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:17:08,639 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:17:08,639 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:17:08,639 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:17:08,639 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:17:08,640 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:17:08,640 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:17:08,640 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:17:08,640 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:17:08,641 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:17:08,641 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:17:08,641 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:17:08,641 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:17:08,642 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:17:08,642 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:17:08,642 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:17:08,642 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:17:08,643 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:17:08,643 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:17:08,645 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,645 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,648 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 14:17:08,648 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 14:17:08,649 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,649 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,651 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,651 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,652 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,652 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,653 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,653 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,654 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,654 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,655 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,655 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,656 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 14:17:08,656 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 14:17:08,658 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,658 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,659 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,659 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,660 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,660 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,661 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,661 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,663 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,663 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,664 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,664 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:08,664 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 14:17:08,664 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 14:17:11,137 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:17:11,137 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:17:11,137 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:17:11,137 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:17:11,137 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:17:11,137 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:17:11,137 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:17:11,137 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:17:11,138 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:17:11,138 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:17:11,138 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:17:11,138 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:17:11,138 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:17:11,138 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:17:11,138 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:17:11,138 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:17:11,303 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("'Namespace' object has no attribute 'region'",) - train_init
-2025-03-24 14:17:11,303 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("'Namespace' object has no attribute 'region'",) - train_init
-2025-03-24 14:17:43,296 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 14:17:43,387 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:17:43,387 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:17:43,440 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:17:43,440 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:17:43,449 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
-2025-03-24 14:17:43,449 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
-2025-03-24 14:17:43,465 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:17:43,465 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:17:43,475 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:17:43,475 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:17:43,475 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:17:43,475 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:17:43,508 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:17:43,508 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:17:43,508 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:17:43,508 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:17:43,509 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:17:43,509 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:17:43,510 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:17:43,510 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:17:43,510 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:17:43,510 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:17:43,510 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:17:43,510 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:17:43,514 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,514 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,514 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:17:43,514 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:17:43,519 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,519 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,519 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:17:43,519 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:17:43,520 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,520 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,520 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:17:43,520 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:17:43,521 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,521 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,521 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:17:43,521 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:17:43,522 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,522 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,522 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:17:43,522 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:17:43,523 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,523 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,523 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:17:43,523 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:17:43,524 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,524 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,524 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:17:43,524 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:17:43,525 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,525 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,525 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:17:43,525 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:17:43,525 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:17:43,525 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:17:43,539 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,539 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,539 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:17:43,539 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:17:43,541 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,541 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:17:43,541 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:17:43,541 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:17:43,542 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:17:43,542 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:17:43,543 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:17:43,543 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:17:43,543 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:17:43,543 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:17:43,544 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:17:43,544 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:17:43,544 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:17:43,544 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:17:43,544 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:17:43,544 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:17:43,545 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:17:43,545 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:17:43,545 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:17:43,545 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:17:43,547 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:17:43,547 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:17:43,547 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:17:43,547 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:17:43,547 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:17:43,547 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:17:43,549 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,549 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,552 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 14:17:43,552 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 14:17:43,554 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,554 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,555 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,555 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,555 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,555 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,558 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,558 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,559 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,559 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,560 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,560 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,561 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 14:17:43,561 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 14:17:43,563 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,563 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,564 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,564 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,565 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,565 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,566 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,566 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,567 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,567 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,568 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,568 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 14:17:43,568 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 14:17:43,568 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 14:17:46,007 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:17:46,007 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:17:46,007 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:17:46,007 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:17:46,007 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:17:46,007 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:18:17,621 - dbmg.py - INFO - ❌ 系统异常: localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0f90b0d794513e3d462bd, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]> - get_keras_model_from_mongo
-2025-03-24 14:18:17,621 - dbmg.py - INFO - ❌ 系统异常: localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0f90b0d794513e3d462bd, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]> - get_keras_model_from_mongo
-2025-03-24 14:18:17,621 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0f90b0d794513e3d462bd, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]>",) - train_init
-2025-03-24 14:18:17,621 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0f90b0d794513e3d462bd, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]>",) - train_init
-2025-03-24 14:26:25,807 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 14:26:25,899 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:26:25,899 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:26:25,951 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:26:25,951 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:26:25,962 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 14:26:25,962 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 14:26:25,977 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:26:25,977 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:26:25,986 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:26:25,986 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:26:25,987 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:26:25,987 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:26:26,019 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:26:26,019 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:26:26,019 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:26:26,019 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:26:26,020 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:26:26,020 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:26:26,021 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:26:26,021 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:26:26,021 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:26:26,021 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:26:26,021 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:26:26,021 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:26:26,025 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,025 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,025 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:26:26,025 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:26:26,030 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,030 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,030 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:26:26,030 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:26:26,031 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,031 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,032 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:26:26,032 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:26:26,033 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,033 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,033 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:26:26,033 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:26:26,034 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,034 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,034 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:26:26,034 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:26:26,035 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,035 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,035 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:26:26,035 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:26:26,036 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,036 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,036 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:26:26,036 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:26:26,037 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,037 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,037 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:26:26,037 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:26:26,037 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:26:26,037 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:26:26,050 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,050 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,050 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:26:26,050 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:26:26,052 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,052 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:26:26,052 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:26:26,052 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:26:26,054 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:26:26,054 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:26:26,054 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:26:26,054 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:26:26,055 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:26:26,055 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:26:26,055 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:26:26,055 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:26:26,055 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:26:26,055 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:26:26,056 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:26:26,056 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:26:26,056 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:26:26,056 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:26:26,057 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:26:26,057 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:26:26,058 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:26:26,058 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:26:26,058 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:26:26,058 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:26:26,059 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:26:26,059 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:26:26,061 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,061 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,064 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 14:26:26,064 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 14:26:26,065 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,065 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,066 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,066 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,068 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,068 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,069 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,069 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,070 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,070 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,071 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,071 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,072 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 14:26:26,072 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 14:26:26,074 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,074 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,075 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,075 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,076 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,076 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,077 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,077 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,078 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,078 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,079 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,079 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 14:26:26,079 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 14:26:26,079 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:26:28,529 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:26:28,529 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:26:59,156 - dbmg.py - INFO - ❌ 系统异常: localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0fb1483b52fc31f8c1fb6, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]> - get_keras_model_from_mongo
-2025-03-24 14:26:59,156 - dbmg.py - INFO - ❌ 系统异常: localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0fb1483b52fc31f8c1fb6, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]> - get_keras_model_from_mongo
-2025-03-24 14:26:59,156 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0fb1483b52fc31f8c1fb6, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]>",) - train_init
-2025-03-24 14:26:59,156 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0fb1483b52fc31f8c1fb6, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]>",) - train_init
-2025-03-24 14:27:07,323 - tf_lstm.py - INFO - -----模型训练经过29轮迭代----- - training
-2025-03-24 14:27:07,323 - tf_lstm.py - INFO - -----模型训练经过29轮迭代----- - training
-2025-03-24 14:27:07,324 - tf_lstm.py - INFO - 训练集损失函数为：[1.00327 0.49229 0.39207 0.34791 0.32165 0.30181 0.28801 0.27887 0.27322
- 0.26835 0.26645 0.26336 0.26005 0.2585  0.25662 0.2548  0.25582 0.25282
- 0.25125 0.24861 0.24907 0.24693 0.24603 0.24661 0.24517 0.24441 0.24341
- 0.24335 0.2432 ] - training
-2025-03-24 14:27:07,324 - tf_lstm.py - INFO - 训练集损失函数为：[1.00327 0.49229 0.39207 0.34791 0.32165 0.30181 0.28801 0.27887 0.27322
- 0.26835 0.26645 0.26336 0.26005 0.2585  0.25662 0.2548  0.25582 0.25282
- 0.25125 0.24861 0.24907 0.24693 0.24603 0.24661 0.24517 0.24441 0.24341
- 0.24335 0.2432 ] - training
-2025-03-24 14:27:07,324 - tf_lstm.py - INFO - 验证集损失函数为：[0.62682 0.45493 0.412   0.38322 0.35102 0.33545 0.33059 0.32411 0.3199
- 0.31783 0.31021 0.30707 0.30641 0.3031  0.3023  0.30111 0.29743 0.29568
- 0.2948  0.29804 0.2949  0.29931 0.31209 0.31227 0.30851 0.30432 0.30713
- 0.31534 0.31606] - training
-2025-03-24 14:27:07,324 - tf_lstm.py - INFO - 验证集损失函数为：[0.62682 0.45493 0.412   0.38322 0.35102 0.33545 0.33059 0.32411 0.3199
- 0.31783 0.31021 0.30707 0.30641 0.3031  0.3023  0.30111 0.29743 0.29568
- 0.2948  0.29804 0.2949  0.29931 0.31209 0.31227 0.30851 0.30432 0.30713
- 0.31534 0.31606] - training
-2025-03-24 14:27:37,768 - dbmg.py - INFO - ❌ 数据库操作 - 详细错误: localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0fb3b83b52fc31f8c1fb7, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]> - insert_trained_model_into_mongo
-2025-03-24 14:27:37,768 - dbmg.py - INFO - ❌ 数据库操作 - 详细错误: localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0fb3b83b52fc31f8c1fb7, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]> - insert_trained_model_into_mongo
-2025-03-24 14:39:13,962 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 14:39:14,052 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:39:14,052 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 14:39:14,105 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:39:14,105 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 14:39:14,115 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 14:39:14,115 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 14:39:14,130 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:39:14,130 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 14:39:14,140 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:39:14,140 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 14:39:14,140 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:39:14,140 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 14:39:14,173 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:39:14,173 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 14:39:14,174 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:39:14,174 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:39:14,174 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:39:14,174 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:39:14,175 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:39:14,175 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 14:39:14,176 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:39:14,176 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 14:39:14,176 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:39:14,176 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 14:39:14,179 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,179 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,180 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:39:14,180 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 14:39:14,185 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,185 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,185 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:39:14,185 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:39:14,186 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,186 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,186 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:39:14,186 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:39:14,187 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,187 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,187 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:39:14,187 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 14:39:14,188 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,188 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,188 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:39:14,188 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:39:14,189 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,189 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,189 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:39:14,189 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:39:14,190 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,190 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,191 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:39:14,191 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 14:39:14,191 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,191 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,191 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:39:14,191 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 14:39:14,191 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:39:14,191 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 14:39:14,204 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,204 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,205 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:39:14,205 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 14:39:14,206 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,206 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 14:39:14,206 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:39:14,206 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 14:39:14,208 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:39:14,208 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 14:39:14,208 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:39:14,208 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:39:14,209 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:39:14,209 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 14:39:14,209 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:39:14,209 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:39:14,210 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:39:14,210 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 14:39:14,210 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:39:14,210 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:39:14,210 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:39:14,210 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 14:39:14,211 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:39:14,211 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 14:39:14,212 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:39:14,212 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 14:39:14,212 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:39:14,212 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 14:39:14,213 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:39:14,213 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 14:39:14,215 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,215 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,218 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 14:39:14,218 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 14:39:14,221 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,221 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,222 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,222 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,223 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,223 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,224 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,224 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,225 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,225 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,226 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,226 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,228 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 14:39:14,228 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 14:39:14,229 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,229 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,230 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,230 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,231 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,231 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,232 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,232 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,234 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,234 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,235 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,235 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 14:39:14,235 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 14:39:14,235 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 14:39:16,869 - dbmg.py - INFO - ❌ 系统异常: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'} - get_keras_model_from_mongo
-2025-03-24 14:39:16,869 - dbmg.py - INFO - ❌ 系统异常: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'} - get_keras_model_from_mongo
-2025-03-24 14:39:16,869 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'}",) - train_init
-2025-03-24 14:39:16,869 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'}",) - train_init
-2025-03-24 14:39:24,548 - tf_lstm.py - INFO - -----模型训练经过30轮迭代----- - training
-2025-03-24 14:39:24,548 - tf_lstm.py - INFO - -----模型训练经过30轮迭代----- - training
-2025-03-24 14:39:24,548 - tf_lstm.py - INFO - 训练集损失函数为：[1.03733 0.52583 0.41109 0.36099 0.32907 0.30621 0.29144 0.2818  0.27505
- 0.27013 0.26655 0.26369 0.26149 0.2589  0.25674 0.25782 0.25556 0.25207
- 0.25357 0.25184 0.24832 0.24895 0.24732 0.24703 0.25054 0.24537 0.24455
- 0.24553 0.24316 0.24278] - training
-2025-03-24 14:39:24,548 - tf_lstm.py - INFO - 训练集损失函数为：[1.03733 0.52583 0.41109 0.36099 0.32907 0.30621 0.29144 0.2818  0.27505
- 0.27013 0.26655 0.26369 0.26149 0.2589  0.25674 0.25782 0.25556 0.25207
- 0.25357 0.25184 0.24832 0.24895 0.24732 0.24703 0.25054 0.24537 0.24455
- 0.24553 0.24316 0.24278] - training
-2025-03-24 14:39:24,549 - tf_lstm.py - INFO - 验证集损失函数为：[0.6636  0.4821  0.42161 0.38494 0.35606 0.34022 0.3303  0.3229  0.31918
- 0.31395 0.3101  0.30795 0.30661 0.30703 0.30823 0.3041  0.30008 0.30286
- 0.30102 0.29711 0.30074 0.30261 0.30576 0.32809 0.29974 0.30654 0.3091
- 0.30105 0.30228 0.31901] - training
-2025-03-24 14:39:24,549 - tf_lstm.py - INFO - 验证集损失函数为：[0.6636  0.4821  0.42161 0.38494 0.35606 0.34022 0.3303  0.3229  0.31918
- 0.31395 0.3101  0.30795 0.30661 0.30703 0.30823 0.3041  0.30008 0.30286
- 0.30102 0.29711 0.30074 0.30261 0.30576 0.32809 0.29974 0.30654 0.3091
- 0.30105 0.30228 0.31901] - training
-2025-03-24 14:39:24,594 - dbmg.py - INFO - ❌ 数据库操作 - 详细错误: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'} - insert_trained_model_into_mongo
-2025-03-24 14:39:24,594 - dbmg.py - INFO - ❌ 数据库操作 - 详细错误: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'} - insert_trained_model_into_mongo
-2025-03-24 14:41:35,113 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 15:03:02,982 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 15:03:03,087 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 15:03:03,087 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 15:03:03,140 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 15:03:03,140 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 15:03:03,151 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 15:03:03,151 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 15:03:03,173 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 15:03:03,173 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 15:03:03,183 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 15:03:03,183 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 15:03:03,184 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 15:03:03,184 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 15:03:03,216 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 15:03:03,216 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 15:03:03,216 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 15:03:03,216 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 15:03:03,216 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 15:03:03,216 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 15:03:03,218 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 15:03:03,218 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 15:03:03,218 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 15:03:03,218 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 15:03:03,218 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 15:03:03,218 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 15:03:03,221 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,221 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,222 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 15:03:03,222 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 15:03:03,227 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,227 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,227 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 15:03:03,227 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 15:03:03,228 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,228 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,230 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 15:03:03,230 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 15:03:03,232 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,232 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,232 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 15:03:03,232 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 15:03:03,234 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,234 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,234 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 15:03:03,234 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 15:03:03,236 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,236 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,236 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 15:03:03,236 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 15:03:03,238 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,238 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,238 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 15:03:03,238 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 15:03:03,239 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,239 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,239 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 15:03:03,239 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 15:03:03,239 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 15:03:03,239 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 15:03:03,253 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,253 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,253 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 15:03:03,253 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 15:03:03,255 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,255 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 15:03:03,255 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 15:03:03,255 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 15:03:03,257 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 15:03:03,257 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 15:03:03,257 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 15:03:03,257 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 15:03:03,259 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 15:03:03,259 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 15:03:03,259 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 15:03:03,259 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 15:03:03,260 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 15:03:03,260 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 15:03:03,260 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 15:03:03,260 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 15:03:03,261 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 15:03:03,261 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 15:03:03,261 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 15:03:03,261 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 15:03:03,262 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 15:03:03,262 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 15:03:03,262 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 15:03:03,262 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 15:03:03,263 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 15:03:03,263 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 15:03:03,265 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,265 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,269 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 15:03:03,269 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 15:03:03,270 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,270 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,271 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,271 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,272 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,272 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,273 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,273 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,274 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,274 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,275 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,275 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,277 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 15:03:03,277 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 15:03:03,278 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,278 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,279 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,279 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,280 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,280 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,281 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,281 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,282 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,282 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,283 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,283 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 15:03:03,284 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 15:03:03,284 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 15:03:05,996 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
-2025-03-24 15:03:05,996 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
-2025-03-24 15:03:05,996 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
-2025-03-24 15:03:05,996 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
-2025-03-24 15:03:13,586 - tf_lstm.py - INFO - -----模型训练经过28轮迭代----- - training
-2025-03-24 15:03:13,586 - tf_lstm.py - INFO - -----模型训练经过28轮迭代----- - training
-2025-03-24 15:03:13,586 - tf_lstm.py - INFO - 训练集损失函数为：[1.03783 0.53476 0.42066 0.36936 0.33622 0.31105 0.29486 0.28367 0.27638
- 0.27102 0.266   0.26127 0.25918 0.25661 0.25423 0.25347 0.25023 0.24919
- 0.24692 0.24588 0.24638 0.24527 0.24537 0.24308 0.24311 0.24165 0.24153
- 0.24311] - training
-2025-03-24 15:03:13,586 - tf_lstm.py - INFO - 训练集损失函数为：[1.03783 0.53476 0.42066 0.36936 0.33622 0.31105 0.29486 0.28367 0.27638
- 0.27102 0.266   0.26127 0.25918 0.25661 0.25423 0.25347 0.25023 0.24919
- 0.24692 0.24588 0.24638 0.24527 0.24537 0.24308 0.24311 0.24165 0.24153
- 0.24311] - training
-2025-03-24 15:03:13,586 - tf_lstm.py - INFO - 验证集损失函数为：[0.67571 0.49701 0.42356 0.38909 0.35895 0.34141 0.3303  0.32137 0.31626
- 0.31077 0.30592 0.30293 0.29966 0.29782 0.297   0.29257 0.29425 0.29124
- 0.29423 0.30317 0.30048 0.30748 0.30076 0.29979 0.29842 0.30226 0.31115
- 0.30433] - training
-2025-03-24 15:03:13,586 - tf_lstm.py - INFO - 验证集损失函数为：[0.67571 0.49701 0.42356 0.38909 0.35895 0.34141 0.3303  0.32137 0.31626
- 0.31077 0.30592 0.30293 0.29966 0.29782 0.297   0.29257 0.29425 0.29124
- 0.29423 0.30317 0.30048 0.30748 0.30076 0.29979 0.29842 0.30226 0.31115
- 0.30433] - training
-2025-03-24 15:03:13,678 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e103b16118d080aa98ddac - insert_trained_model_into_mongo
-2025-03-24 15:03:13,678 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e103b16118d080aa98ddac - insert_trained_model_into_mongo
-2025-03-24 15:03:13,708 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e103b16118d080aa98ddae - insert_scaler_model_into_mongo
-2025-03-24 15:03:13,708 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e103b16118d080aa98ddae - insert_scaler_model_into_mongo
-2025-03-24 15:12:30,004 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
-2025-03-24 15:12:42,745 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 15:12:42,745 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 15:12:58,201 - <string> - INFO - 111 - <module>
-2025-03-24 15:12:58,201 - <string> - INFO - 111 - <module>
-2025-03-24 15:15:31,728 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 15:15:59,011 - <string> - INFO - 111 - <module>
-2025-03-24 15:25:43,834 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 15:25:44,058 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 15:25:44,113 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 15:25:44,123 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 15:25:44,146 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 15:25:44,157 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 15:25:44,157 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 15:25:44,191 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 15:25:44,192 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 15:25:44,192 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 15:25:44,193 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 15:25:44,193 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 15:25:44,193 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 15:25:44,197 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 15:25:44,197 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 15:25:44,202 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 15:25:44,203 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 15:25:44,203 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 15:25:44,205 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 15:25:44,206 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 15:25:44,207 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 15:25:44,208 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 15:25:44,209 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 15:25:44,211 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 15:25:44,211 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 15:25:44,213 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 15:25:44,213 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 15:25:44,214 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 15:25:44,214 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 15:25:44,214 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 15:25:44,229 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 15:25:44,230 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 15:25:44,232 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 15:25:44,233 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 15:25:44,235 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 15:25:44,235 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 15:25:44,237 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 15:25:44,237 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 15:25:44,239 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 15:25:44,239 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 15:25:44,241 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 15:25:44,241 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 15:25:44,243 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 15:25:44,243 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 15:25:44,244 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 15:25:44,246 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 15:25:44,252 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 15:25:44,254 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 15:25:44,255 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 15:25:44,256 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 15:25:44,257 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 15:25:44,258 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 15:25:44,259 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 15:25:44,261 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 15:25:44,263 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 15:25:44,263 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 15:25:44,264 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 15:25:44,265 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 15:25:44,266 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 15:25:44,268 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 15:25:44,268 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 15:25:46,756 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 15:25:46,756 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 15:25:46,756 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 15:25:46,756 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 15:25:46,756 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 15:25:46,756 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 15:25:46,756 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 15:25:46,756 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 15:25:46,963 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
-2025-03-24 15:25:46,964 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
-2025-03-24 15:25:56,619 - tf_lstm.py - INFO - -----模型训练经过38轮迭代----- - training
-2025-03-24 15:25:56,620 - tf_lstm.py - INFO - 训练集损失函数为：[0.97203 0.48019 0.38809 0.34392 0.31529 0.30057 0.28952 0.28035 0.27424
- 0.27015 0.26739 0.26461 0.26238 0.26054 0.25938 0.25835 0.2573  0.25521
- 0.25667 0.25358 0.24975 0.25239 0.24996 0.25168 0.25229 0.24591 0.2436
- 0.24559 0.24309 0.24421 0.24427 0.24306 0.2436  0.24302 0.24268 0.24342
- 0.24349 0.24149] - training
-2025-03-24 15:25:56,620 - tf_lstm.py - INFO - 验证集损失函数为：[0.60693 0.45191 0.39981 0.36123 0.35344 0.33915 0.32635 0.32104 0.31862
- 0.31443 0.31062 0.30841 0.30678 0.30652 0.30591 0.30484 0.30163 0.30197
- 0.29908 0.29977 0.30998 0.303   0.31185 0.32436 0.30424 0.30296 0.30714
- 0.29727 0.31234 0.31219 0.31022 0.32064 0.31771 0.32029 0.32861 0.33097
- 0.32354 0.32525] - training
-2025-03-24 15:25:56,689 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e1090464fdbe5a30d5a307 - insert_trained_model_into_mongo
-2025-03-24 15:25:56,697 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e1090464fdbe5a30d5a309 - insert_scaler_model_into_mongo
-2025-03-24 15:37:30,960 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 15:38:50,548 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 15:38:50,926 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 15:25:56) - get_scaler_model_from_mongo
-2025-03-24 15:39:54,363 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 15:40:28,533 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 15:25:56) - get_scaler_model_from_mongo
-2025-03-24 15:41:51,230 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 15:42:36,739 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 15:25:56) - get_scaler_model_from_mongo
-2025-03-24 15:43:28,115 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 15:43:34,170 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 15:25:56) - get_scaler_model_from_mongo
-2025-03-24 15:45:36,573 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 15:45:41,835 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 15:25:56) - get_scaler_model_from_mongo
-2025-03-24 15:46:35,207 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 15:46:49,802 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 15:25:56) - get_scaler_model_from_mongo
-2025-03-24 15:47:07,043 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
-2025-03-24 15:47:07,044 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmpuzv867x2.keras - get_keras_model_from_mongo
-2025-03-24 15:48:02,671 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 15:48:08,321 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 15:25:56) - get_scaler_model_from_mongo
-2025-03-24 15:48:10,104 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
-2025-03-24 15:48:10,104 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmppp2bur2b.keras - get_keras_model_from_mongo
-2025-03-24 15:48:46,701 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 15:49:15,435 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 15:25:56) - get_scaler_model_from_mongo
-2025-03-24 15:49:17,502 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
-2025-03-24 15:49:17,503 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmp6jjhhllp.keras - get_keras_model_from_mongo
-2025-03-24 16:25:48,997 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 16:25:54,990 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 15:25:56) - get_scaler_model_from_mongo
-2025-03-24 16:25:57,123 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
-2025-03-24 16:25:57,124 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmp55bwpy6h.keras - get_keras_model_from_mongo
-2025-03-24 16:27:06,421 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 16:27:34,098 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 16:28:03,494 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 16:28:13,423 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 16:28:14,328 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 16:28:15,007 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 16:28:29,728 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 16:28:29,729 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 16:28:29,762 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 16:28:29,763 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 16:28:29,763 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 16:28:29,764 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 16:28:29,764 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 16:28:29,765 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 16:28:29,768 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 16:28:29,768 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 16:28:29,774 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 16:28:29,775 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 16:28:29,776 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 16:28:29,776 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 16:28:29,777 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 16:28:29,777 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 16:28:29,778 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 16:28:29,779 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 16:28:29,779 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 16:28:29,780 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 16:28:29,781 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 16:28:29,781 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 16:28:29,781 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 16:28:29,782 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 16:28:29,782 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 16:28:29,795 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 16:28:29,795 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 16:28:29,797 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 16:28:29,797 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 16:28:29,800 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 16:28:29,800 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 16:28:29,801 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 16:28:29,801 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 16:28:29,802 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 16:28:29,803 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 16:28:29,939 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 16:28:29,939 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 16:28:29,941 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 16:28:29,941 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 16:28:29,943 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 16:28:31,432 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 16:28:31,438 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 16:28:31,442 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 16:28:31,447 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 16:28:31,452 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 16:28:31,456 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 16:28:31,461 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 16:28:31,466 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 16:28:31,470 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 16:28:31,475 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 16:28:31,479 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 16:28:31,485 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 16:28:31,489 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 16:28:31,493 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 16:28:31,497 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 16:28:31,498 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 16:29:15,220 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 16:29:15,221 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 16:29:15,221 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 16:29:15,221 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 16:29:15,221 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 16:29:15,221 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 16:29:15,221 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 16:29:15,221 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 16:29:26,828 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
-2025-03-24 16:29:27,632 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
-2025-03-24 16:29:57,341 - tf_lstm.py - INFO - -----模型训练经过28轮迭代----- - training
-2025-03-24 16:29:57,342 - tf_lstm.py - INFO - 训练集损失函数为：[1.02629 0.51363 0.40185 0.35459 0.32764 0.30722 0.29113 0.28102 0.27487
- 0.27069 0.26745 0.26378 0.2614  0.25867 0.25592 0.25758 0.2541  0.25267
- 0.24981 0.24854 0.24725 0.24632 0.24614 0.24585 0.24434 0.2443  0.24277
- 0.24312] - training
-2025-03-24 16:29:57,342 - tf_lstm.py - INFO - 验证集损失函数为：[0.64746 0.46841 0.41888 0.38172 0.35578 0.33682 0.32683 0.32256 0.31833
- 0.31401 0.31055 0.30685 0.30428 0.30192 0.30389 0.29887 0.29866 0.29472
- 0.29633 0.29759 0.29883 0.30783 0.31148 0.30816 0.30389 0.30156 0.30865
- 0.30822] - training
-2025-03-24 16:30:33,003 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e118290a53203110baf559 - insert_trained_model_into_mongo
-2025-03-24 16:30:33,547 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e118290a53203110baf55b - insert_scaler_model_into_mongo
-2025-03-24 16:31:27,711 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 16:31:37,265 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 16:30:28) - get_scaler_model_from_mongo
-2025-03-24 16:31:48,232 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
-2025-03-24 16:31:48,234 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmp7xxoukqg.keras - get_keras_model_from_mongo
-2025-03-24 16:36:18,503 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 16:36:18,697 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 16:36:18,750 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 16:36:18,759 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 16:36:18,774 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 16:36:18,784 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 16:36:18,784 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 16:36:18,817 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 16:36:18,817 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 16:36:18,817 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 16:36:18,818 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 16:36:18,819 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 16:36:18,819 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 16:36:18,822 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 16:36:18,822 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 16:36:18,827 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 16:36:18,827 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 16:36:18,828 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 16:36:18,829 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 16:36:18,829 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 16:36:18,830 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 16:36:18,830 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 16:36:18,831 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 16:36:18,831 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 16:36:18,832 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 16:36:18,832 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 16:36:18,833 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 16:36:18,833 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 16:36:18,833 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 16:36:18,834 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 16:36:18,847 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 16:36:18,847 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 16:36:18,848 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 16:36:18,848 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 16:36:18,850 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 16:36:18,850 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 16:36:18,851 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 16:36:18,851 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 16:36:18,851 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 16:36:18,852 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 16:36:18,852 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 16:36:18,853 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 16:36:18,854 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 16:36:18,854 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 16:36:18,855 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 16:36:18,857 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 16:36:18,860 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 16:36:18,861 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 16:36:18,862 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 16:36:18,863 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 16:36:18,864 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 16:36:18,865 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 16:36:18,866 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 16:36:18,868 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 16:36:18,869 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 16:36:18,870 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 16:36:18,871 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 16:36:18,872 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 16:36:18,873 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 16:36:18,875 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 16:36:18,875 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 16:36:21,335 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 16:36:21,335 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 16:36:21,335 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 16:36:21,335 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 16:36:21,335 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 16:36:21,335 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 16:36:21,335 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 16:36:21,335 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 16:36:21,531 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
-2025-03-24 16:36:21,531 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
-2025-03-24 16:36:30,042 - tf_lstm.py - INFO - -----模型训练经过34轮迭代----- - training
-2025-03-24 16:36:30,043 - tf_lstm.py - INFO - 训练集损失函数为：[0.9643  0.47406 0.38006 0.33788 0.31271 0.29495 0.28256 0.27419 0.26928
- 0.26494 0.26215 0.25938 0.25772 0.25598 0.25533 0.25299 0.25207 0.25119
- 0.25038 0.24868 0.24694 0.25517 0.24927 0.24506 0.24366 0.24517 0.24472
- 0.24305 0.24234 0.24261 0.24163 0.24408 0.24209 0.24256] - training
-2025-03-24 16:36:30,043 - tf_lstm.py - INFO - 验证集损失函数为：[0.61301 0.4526  0.3929  0.36492 0.34239 0.32703 0.31823 0.31337 0.30822
- 0.30591 0.30293 0.30064 0.29839 0.29845 0.29586 0.29498 0.29576 0.29323
- 0.29608 0.29809 0.32526 0.29454 0.2927  0.29199 0.3023  0.30548 0.30169
- 0.30032 0.29995 0.30027 0.3121  0.30454 0.31515 0.3114 ] - training
-2025-03-24 16:36:30,101 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e1198e20b7faa5a8a3e4de - insert_trained_model_into_mongo
-2025-03-24 16:36:30,130 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e1198e20b7faa5a8a3e4e0 - insert_scaler_model_into_mongo
-2025-03-24 16:37:17,731 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 16:37:22,653 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 16:36:30) - get_scaler_model_from_mongo
-2025-03-24 16:37:36,982 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
-2025-03-24 16:38:22,317 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmp8iqm1cck.keras - get_keras_model_from_mongo
-2025-03-24 16:42:04,247 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 16:42:39,643 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 16:42:39,835 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 16:42:39,889 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 16:42:39,897 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 16:42:39,912 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 16:42:39,921 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 16:42:39,922 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 16:42:39,955 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 16:42:39,955 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 16:42:39,955 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 16:42:39,956 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 16:42:39,956 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 16:42:39,956 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 16:42:39,960 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 16:42:39,960 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 16:42:39,965 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 16:42:39,965 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 16:42:39,966 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 16:42:39,966 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 16:42:39,967 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 16:42:39,967 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 16:42:39,968 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 16:42:39,968 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 16:42:39,969 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 16:42:39,969 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 16:42:39,970 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 16:42:39,971 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 16:42:39,972 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 16:42:39,972 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 16:42:39,972 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 16:42:39,987 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 16:42:39,988 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 16:42:39,989 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 16:42:39,989 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 16:42:39,991 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 16:42:39,991 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 16:42:39,992 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 16:42:39,992 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 16:42:39,993 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 16:42:39,993 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 16:42:39,993 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 16:42:39,994 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 16:42:39,995 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 16:42:39,995 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 16:42:39,995 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 16:42:39,998 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 16:42:40,000 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 16:42:40,001 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 16:42:40,003 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 16:42:40,004 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 16:42:40,005 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 16:42:40,007 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 16:42:40,008 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 16:42:40,009 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 16:42:40,010 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 16:42:40,011 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 16:42:40,012 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 16:42:40,014 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 16:42:40,015 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 16:42:40,015 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 16:42:40,015 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 16:42:42,468 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 16:42:42,468 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 16:42:42,468 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 16:42:42,468 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 16:42:42,468 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 16:42:42,468 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 16:42:42,468 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 16:42:42,468 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 16:42:42,660 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
-2025-03-24 16:42:42,660 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
-2025-03-24 16:42:49,897 - tf_lstm.py - INFO - -----模型训练经过27轮迭代----- - training
-2025-03-24 16:42:49,897 - tf_lstm.py - INFO - 训练集损失函数为：[0.96267 0.4795  0.3828  0.33981 0.31385 0.29333 0.28207 0.27515 0.26941
- 0.26535 0.26145 0.25899 0.25735 0.25456 0.25272 0.25108 0.24981 0.24775
- 0.24647 0.24539 0.24586 0.24603 0.24397 0.24372 0.24296 0.24248 0.24168] - training
-2025-03-24 16:42:49,897 - tf_lstm.py - INFO - 验证集损失函数为：[0.59539 0.44493 0.39523 0.36333 0.33706 0.32722 0.32066 0.31653 0.31189
- 0.3084  0.30568 0.30329 0.3006  0.29764 0.29469 0.29404 0.29394 0.29482
- 0.29847 0.30606 0.30585 0.30305 0.3043  0.30375 0.30399 0.30229 0.30546] - training
-2025-03-24 16:42:49,937 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e11b09e07150fcb0cf945b - insert_trained_model_into_mongo
-2025-03-24 16:42:49,962 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e11b09e07150fcb0cf945d - insert_scaler_model_into_mongo
-2025-03-24 16:43:02,092 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 16:43:02,317 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 16:42:49) - get_scaler_model_from_mongo
-2025-03-24 16:43:02,413 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
-2025-03-24 16:43:02,414 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmpx3q11gfa.keras - get_keras_model_from_mongo
-2025-03-24 16:43:38,278 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 16:43:59,173 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 16:42:49) - get_scaler_model_from_mongo
-2025-03-24 16:44:02,875 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
-2025-03-24 16:44:04,753 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmpllyi19g9.keras - get_keras_model_from_mongo
-2025-03-24 16:46:37,754 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 16:46:54,113 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 16:47:01,978 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 16:47:02,494 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
-2025-03-24 16:47:03,101 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 16:47:05,929 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 16:47:05,929 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 16:47:05,962 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 16:47:05,962 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 16:47:05,963 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 16:47:05,964 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 16:47:05,964 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 16:47:05,964 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 16:47:05,968 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 16:47:05,968 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 16:47:05,975 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 16:47:05,975 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 16:47:05,976 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 16:47:05,976 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 16:47:05,977 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 16:47:05,977 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 16:47:05,979 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 16:47:05,979 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 16:47:05,980 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 16:47:05,980 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 16:47:05,981 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 16:47:05,981 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 16:47:05,982 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 16:47:05,982 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 16:47:05,982 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 16:47:06,132 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 16:47:06,133 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 16:47:06,134 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 16:47:06,135 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 16:47:06,136 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 16:47:06,137 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 16:47:06,138 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 16:47:06,138 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 16:47:06,139 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 16:47:06,139 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 16:47:06,140 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 16:47:06,140 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 16:47:06,141 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 16:47:06,141 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 16:47:06,143 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 16:47:06,750 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 16:47:06,758 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 16:47:06,762 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 16:47:06,767 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 16:47:06,771 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 16:47:06,776 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 16:47:06,781 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 16:47:06,785 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 16:47:06,790 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 16:47:06,795 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 16:47:06,800 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 16:47:06,804 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 16:47:06,808 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 16:47:06,813 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 16:47:06,818 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 16:47:06,818 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 16:47:18,426 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 16:47:18,427 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 16:47:18,427 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 16:47:18,427 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 16:47:18,427 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 16:47:18,427 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 16:47:18,427 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 16:47:18,427 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 16:50:06,912 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
-2025-03-24 16:50:13,396 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
-2025-03-24 16:57:55,524 - tf_lstm.py - INFO - -----模型训练经过29轮迭代----- - training
-2025-03-24 16:57:55,586 - tf_lstm.py - INFO - 训练集损失函数为：[0.97667 0.481   0.38455 0.34302 0.31664 0.29749 0.28507 0.27773 0.27194
- 0.26851 0.26433 0.26113 0.25886 0.25782 0.25613 0.25257 0.25237 0.25089
- 0.24923 0.24812 0.24534 0.24582 0.24415 0.24344 0.24284 0.24193 0.24205
- 0.24151 0.24144] - training
-2025-03-24 16:57:55,632 - tf_lstm.py - INFO - 验证集损失函数为：[0.60394 0.44582 0.40218 0.36976 0.34505 0.33046 0.32577 0.31802 0.31591
- 0.31033 0.30696 0.30481 0.30502 0.30265 0.29893 0.29964 0.29727 0.29644
- 0.29476 0.29623 0.30499 0.30848 0.30849 0.3045  0.30433 0.30477 0.30999
- 0.30893 0.30762] - training
-2025-03-24 17:03:00,603 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e11fc4bc458d27a489190c - insert_trained_model_into_mongo
-2025-03-24 17:03:01,163 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e11fc5bc458d27a489190e - insert_scaler_model_into_mongo
-2025-03-24 17:06:59,385 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 17:06:59,604 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:02:16) - get_scaler_model_from_mongo
-2025-03-24 17:06:59,720 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
-2025-03-24 17:06:59,721 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmpdm2thyh7.keras - get_keras_model_from_mongo
-2025-03-24 17:08:17,377 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 17:08:17,564 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 17:08:17,618 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 17:08:17,627 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-24 17:08:17,642 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 17:08:17,652 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 17:08:17,652 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 17:08:17,685 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 17:08:17,685 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 17:08:17,685 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 17:08:17,686 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 17:08:17,687 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 17:08:17,687 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 17:08:17,690 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 17:08:17,690 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 17:08:17,698 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 17:08:17,698 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 17:08:17,699 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 17:08:17,699 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 17:08:17,701 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 17:08:17,701 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 17:08:17,702 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 17:08:17,702 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 17:08:17,704 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 17:08:17,704 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 17:08:17,705 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 17:08:17,705 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 17:08:17,706 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 17:08:17,706 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 17:08:17,706 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 17:08:17,719 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 17:08:17,719 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 17:08:17,720 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 17:08:17,720 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 17:08:17,722 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 17:08:17,722 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 17:08:17,723 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 17:08:17,723 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 17:08:17,724 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 17:08:17,724 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 17:08:17,725 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 17:08:17,725 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 17:08:17,727 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 17:08:17,727 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 17:08:17,728 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 17:08:17,731 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 17:08:17,735 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 17:08:17,736 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 17:08:17,737 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 17:08:17,738 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 17:08:17,739 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 17:08:17,740 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 17:08:17,741 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 17:08:17,743 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 17:08:17,744 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 17:08:17,745 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 17:08:17,746 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 17:08:17,747 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 17:08:17,748 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 17:08:17,749 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 17:08:17,750 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 17:08:20,183 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 17:08:20,183 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 17:08:20,183 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 17:08:20,183 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 17:08:20,183 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 17:08:20,183 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 17:08:20,183 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 17:08:20,183 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 17:08:20,384 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
-2025-03-24 17:08:20,384 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
-2025-03-24 17:08:27,815 - tf_lstm.py - INFO - -----模型训练经过28轮迭代----- - training
-2025-03-24 17:08:27,815 - tf_lstm.py - INFO - 训练集损失函数为：[1.00304 0.50132 0.40073 0.35612 0.32649 0.30222 0.288   0.27935 0.27276
- 0.26797 0.26366 0.26215 0.25902 0.25727 0.25586 0.2526  0.25153 0.24999
- 0.2468  0.2471  0.24597 0.2473  0.24438 0.24328 0.24272 0.24299 0.2421
- 0.24151] - training
-2025-03-24 17:08:27,816 - tf_lstm.py - INFO - 验证集损失函数为：[0.63754 0.46007 0.41528 0.3836  0.34785 0.33632 0.33146 0.32125 0.31666
- 0.31205 0.30924 0.30597 0.30214 0.30073 0.29796 0.29722 0.29637 0.29324
- 0.29767 0.29886 0.30864 0.30684 0.30177 0.29866 0.30389 0.30451 0.30523
- 0.30582] - training
-2025-03-24 17:08:27,858 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e1210bd9445a7794dc508b - insert_trained_model_into_mongo
-2025-03-24 17:08:27,878 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e1210bd9445a7794dc508d - insert_scaler_model_into_mongo
-2025-03-24 17:09:12,279 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 17:09:12,496 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:08:27) - get_scaler_model_from_mongo
-2025-03-24 17:09:12,590 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
-2025-03-24 17:09:12,591 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmpdtwtlo2m.keras - get_keras_model_from_mongo
-2025-03-24 17:11:00,249 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 17:11:00,443 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-24 17:11:00,496 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-24 17:11:00,506 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
-2025-03-24 17:11:00,525 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-24 17:11:00,536 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-24 17:11:00,537 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-24 17:11:00,570 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-24 17:11:00,571 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 17:11:00,571 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 17:11:00,572 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-24 17:11:00,572 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-24 17:11:00,572 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-24 17:11:00,576 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-24 17:11:00,576 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-24 17:11:00,581 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-24 17:11:00,581 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 17:11:00,583 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-24 17:11:00,583 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 17:11:00,584 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-24 17:11:00,584 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-24 17:11:00,585 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-24 17:11:00,585 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 17:11:00,586 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-24 17:11:00,586 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 17:11:00,588 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-24 17:11:00,588 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-24 17:11:00,589 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-24 17:11:00,589 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-24 17:11:00,589 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-24 17:11:00,603 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-24 17:11:00,603 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-24 17:11:00,604 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-24 17:11:00,604 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-24 17:11:00,606 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-24 17:11:00,606 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 17:11:00,607 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-24 17:11:00,607 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 17:11:00,608 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-24 17:11:00,608 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 17:11:00,609 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-24 17:11:00,609 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-24 17:11:00,610 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-24 17:11:00,610 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-24 17:11:00,611 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-24 17:11:00,613 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-24 17:11:00,617 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-24 17:11:00,619 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-24 17:11:00,620 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 17:11:00,621 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-24 17:11:00,622 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 17:11:00,623 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 17:11:00,624 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-24 17:11:00,625 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-24 17:11:00,627 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-24 17:11:00,628 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-24 17:11:00,629 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 17:11:00,630 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 17:11:00,631 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-24 17:11:00,632 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-24 17:11:00,632 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-24 17:11:03,098 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 17:11:03,098 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 17:11:03,098 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 17:11:03,098 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 17:11:03,098 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 17:11:03,098 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 17:11:03,098 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-24 17:11:03,098 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-24 17:11:03,294 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
-2025-03-24 17:11:03,295 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
-2025-03-24 17:11:10,984 - tf_lstm.py - INFO - -----模型训练经过29轮迭代----- - training
-2025-03-24 17:11:10,985 - tf_lstm.py - INFO - 训练集损失函数为：[1.0187  0.50769 0.4003  0.34891 0.31975 0.30011 0.2885  0.28014 0.27268
- 0.26722 0.26358 0.26146 0.25936 0.25838 0.25643 0.25476 0.25288 0.25224
- 0.25059 0.2489  0.24688 0.24658 0.24647 0.2449  0.24442 0.24386 0.24395
- 0.24276 0.243  ] - training
-2025-03-24 17:11:10,985 - tf_lstm.py - INFO - 验证集损失函数为：[0.64388 0.46151 0.40515 0.37103 0.35298 0.33836 0.32787 0.31869 0.3132
- 0.30919 0.30599 0.30453 0.30324 0.30072 0.29934 0.29613 0.29618 0.29528
- 0.29365 0.29378 0.30024 0.30205 0.29393 0.29537 0.29821 0.30199 0.30141
- 0.3054  0.30375] - training
-2025-03-24 17:11:11,026 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e121af8347b570c0051984 - insert_trained_model_into_mongo
-2025-03-24 17:11:11,046 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e121af8347b570c0051986 - insert_scaler_model_into_mongo
-2025-03-24 17:14:35,654 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 17:14:35,856 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:11:10) - get_scaler_model_from_mongo
-2025-03-24 17:14:35,953 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
-2025-03-24 17:14:35,954 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmpvvvszb77.keras - get_keras_model_from_mongo
-2025-03-24 17:30:37,721 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 17:31:04,516 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:11:10) - get_scaler_model_from_mongo
-2025-03-24 17:36:19,276 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 17:36:45,665 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 17:37:32,496 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 17:37:38,183 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:11:10) - get_scaler_model_from_mongo
-2025-03-24 17:37:44,340 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
-2025-03-24 17:37:45,648 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmpxnt3vn8d.keras - get_keras_model_from_mongo
-2025-03-24 17:48:35,080 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 17:48:39,970 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:11:10) - get_scaler_model_from_mongo
-2025-03-24 17:48:44,344 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
-2025-03-24 17:48:46,276 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmpc5qqpto_.keras - get_keras_model_from_mongo
-2025-03-24 17:49:12,303 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 17:49:16,406 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:11:10) - get_scaler_model_from_mongo
-2025-03-24 17:49:24,029 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
-2025-03-24 17:49:31,117 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmp3dcxyg51.keras - get_keras_model_from_mongo
-2025-03-24 17:50:55,775 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 17:50:59,392 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:11:10) - get_scaler_model_from_mongo
-2025-03-24 17:51:03,446 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
-2025-03-24 17:51:04,445 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmpr1zyclo4.keras - get_keras_model_from_mongo
-2025-03-24 17:51:56,991 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 17:52:00,812 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:11:10) - get_scaler_model_from_mongo
-2025-03-24 17:52:05,476 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
-2025-03-24 17:52:06,146 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmp9z7uk0pw.keras - get_keras_model_from_mongo
-2025-03-24 17:52:43,974 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-24 17:52:44,193 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:11:10) - get_scaler_model_from_mongo
-2025-03-24 17:52:44,285 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
-2025-03-24 17:52:44,285 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmp94emdn_b.keras - get_keras_model_from_mongo
-2025-03-24 17:52:44,582 - tf_lstm.py - INFO - 执行预测方法 - predict

app/logs/2025-03-25/south-forecast.2025-03-25.0.log

@@ -1,235 +0,0 @@
-2025-03-25 08:48:02,492 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-25 08:48:02,832 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-25 08:48:02,886 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-25 08:48:02,895 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-25 08:48:02,913 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-25 08:48:02,933 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-25 08:48:02,933 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-25 08:48:02,966 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-25 08:48:02,966 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-25 08:48:02,966 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-25 08:48:02,967 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-25 08:48:02,968 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-25 08:48:02,968 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-25 08:48:02,971 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-25 08:48:02,971 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-25 08:48:02,976 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-25 08:48:02,977 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-25 08:48:02,978 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-25 08:48:02,978 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-25 08:48:02,979 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-25 08:48:02,979 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-25 08:48:02,980 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-25 08:48:02,980 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-25 08:48:02,981 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-25 08:48:02,981 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-25 08:48:02,982 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-25 08:48:02,982 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-25 08:48:02,984 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-25 08:48:02,984 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-25 08:48:02,984 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-25 08:48:02,997 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-25 08:48:02,997 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-25 08:48:02,999 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-25 08:48:02,999 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-25 08:48:03,000 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-25 08:48:03,001 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-25 08:48:03,001 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-25 08:48:03,001 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-25 08:48:03,002 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-25 08:48:03,002 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-25 08:48:03,003 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-25 08:48:03,003 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-25 08:48:03,005 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-25 08:48:03,005 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-25 08:48:03,005 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-25 08:48:03,014 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-25 08:48:03,017 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-25 08:48:03,019 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-25 08:48:03,020 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-25 08:48:03,021 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-25 08:48:03,022 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-25 08:48:03,023 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-25 08:48:03,024 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-25 08:48:03,026 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-25 08:48:03,027 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-25 08:48:03,028 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-25 08:48:03,029 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-25 08:48:03,031 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-25 08:48:03,032 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-25 08:48:03,033 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-25 08:48:03,033 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-25 08:48:05,457 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-25 08:48:05,457 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-25 08:48:05,457 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-25 08:48:05,457 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-25 08:48:05,457 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-25 08:48:05,457 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-25 08:48:05,457 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-25 08:48:05,457 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-25 08:48:05,669 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
-2025-03-25 08:48:05,670 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
-2025-03-25 08:48:13,323 - tf_lstm.py - INFO - -----模型训练经过28轮迭代----- - training
-2025-03-25 08:48:13,323 - tf_lstm.py - INFO - 训练集损失函数为：[0.98709 0.4857  0.38789 0.34428 0.31769 0.2972  0.28397 0.27552 0.27048
- 0.26568 0.26268 0.2593  0.25744 0.25489 0.25417 0.25239 0.2496  0.25125
- 0.24856 0.2473  0.24671 0.24601 0.24413 0.24449 0.24437 0.24263 0.24266
- 0.24314] - training
-2025-03-25 08:48:13,323 - tf_lstm.py - INFO - 验证集损失函数为：[0.61994 0.45012 0.40129 0.37275 0.3428  0.32806 0.32041 0.3169  0.31217
- 0.30889 0.30421 0.30505 0.30078 0.3012  0.29778 0.29507 0.29904 0.2944
- 0.30124 0.30423 0.31063 0.30335 0.30427 0.3074  0.30603 0.30948 0.30855
- 0.30437] - training
-2025-03-25 08:48:13,364 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e1fd4dce6f69e640c3ad38 - insert_trained_model_into_mongo
-2025-03-25 08:48:13,394 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e1fd4dce6f69e640c3ad3a - insert_scaler_model_into_mongo
-2025-03-25 08:48:41,782 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-25 08:48:42,030 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-25 08:48:13) - get_scaler_model_from_mongo
-2025-03-25 08:48:42,121 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
-2025-03-25 08:48:42,122 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmph1bvs151.keras - get_keras_model_from_mongo
-2025-03-25 08:48:42,429 - tf_lstm.py - INFO - 执行预测方法 - predict
-2025-03-25 09:02:04,620 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-25 10:11:55,993 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-25 10:11:56,189 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-25 10:11:56,241 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-25 10:11:56,250 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
-2025-03-25 10:11:56,266 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-25 10:11:56,275 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-25 10:11:56,276 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-25 10:11:56,308 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-25 10:11:56,308 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-25 10:11:56,308 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-25 10:11:56,311 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-25 10:11:56,311 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-25 10:11:56,311 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-25 10:11:56,314 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-25 10:11:56,314 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-25 10:11:56,320 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-25 10:11:56,320 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-25 10:11:56,321 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-25 10:11:56,321 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-25 10:11:56,322 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-25 10:11:56,322 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-25 10:11:56,323 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-25 10:11:56,323 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-25 10:11:56,324 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-25 10:11:56,324 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-25 10:11:56,325 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-25 10:11:56,325 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-25 10:11:56,326 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-25 10:11:56,326 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-25 10:11:56,326 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-25 10:11:56,339 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-25 10:11:56,339 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-25 10:11:56,341 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-25 10:11:56,341 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-25 10:11:56,342 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-25 10:11:56,342 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-25 10:11:56,343 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-25 10:11:56,343 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-25 10:11:56,344 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-25 10:11:56,344 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-25 10:11:56,345 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-25 10:11:56,345 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-25 10:11:56,346 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-25 10:11:56,348 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-25 10:11:56,348 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-25 10:11:56,350 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-25 10:11:56,353 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-25 10:11:56,354 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-25 10:11:56,355 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-25 10:11:56,356 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-25 10:11:56,357 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-25 10:11:56,359 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-25 10:11:56,360 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-25 10:11:56,362 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-25 10:11:56,363 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-25 10:11:56,364 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-25 10:11:56,365 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-25 10:11:56,366 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-25 10:11:56,367 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-25 10:11:56,367 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-25 10:11:56,367 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-25 10:11:58,824 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-25 10:11:58,824 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-25 10:11:58,825 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-25 10:11:58,825 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-25 10:11:58,825 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-25 10:11:58,825 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-25 10:11:58,825 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-25 10:11:58,825 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-25 10:11:59,017 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
-2025-03-25 10:11:59,017 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
-2025-03-25 10:12:22,986 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-25 10:12:23,176 - tf_lstm_train.py - INFO - Program starts execution! - model_training
-2025-03-25 10:12:23,229 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-25 10:12:23,238 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
-2025-03-25 10:12:23,253 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-25 10:12:23,263 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-25 10:12:23,263 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-25 10:12:23,296 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-25 10:12:23,297 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-25 10:12:23,297 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-25 10:12:23,299 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-25 10:12:23,299 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-25 10:12:23,299 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-25 10:12:23,302 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-25 10:12:23,302 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-25 10:12:23,308 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-25 10:12:23,308 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-25 10:12:23,309 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-25 10:12:23,309 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-25 10:12:23,310 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-25 10:12:23,310 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-25 10:12:23,311 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-25 10:12:23,311 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-25 10:12:23,312 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-25 10:12:23,312 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-25 10:12:23,313 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-25 10:12:23,313 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-25 10:12:23,314 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-25 10:12:23,314 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-25 10:12:23,314 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-25 10:12:23,328 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-25 10:12:23,328 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-25 10:12:23,329 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-25 10:12:23,329 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-25 10:12:23,331 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-25 10:12:23,331 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-25 10:12:23,332 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-25 10:12:23,332 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-25 10:12:23,333 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-25 10:12:23,333 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-25 10:12:23,334 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-25 10:12:23,334 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-25 10:12:23,335 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-25 10:12:23,335 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-25 10:12:23,336 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-25 10:12:23,337 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-25 10:12:23,341 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-25 10:12:23,343 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-25 10:12:23,344 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-25 10:12:23,345 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-25 10:12:23,346 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-25 10:12:23,347 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-25 10:12:23,348 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-25 10:12:23,349 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-25 10:12:23,350 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-25 10:12:23,352 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-25 10:12:23,353 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-25 10:12:23,354 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-25 10:12:23,355 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-25 10:12:23,356 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-25 10:12:23,356 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-25 10:12:25,819 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-25 10:12:25,819 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-25 10:12:25,820 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-25 10:12:25,820 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-25 10:12:25,820 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-25 10:12:25,820 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-25 10:12:25,820 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-25 10:12:25,820 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-25 10:12:26,012 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
-2025-03-25 10:12:26,012 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init

app/logs/2025-03-28/south-forecast.2025-03-28.0.log

@@ -1,173 +0,0 @@
-2025-03-28 09:40:35,370 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-28 09:40:35,651 - tf_fmi_train.py - INFO - Program starts execution! - model_training
-2025-03-28 09:40:35,706 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-28 09:40:35,716 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-28 09:41:23,101 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-28 09:41:23,531 - tf_fmi_train.py - INFO - Program starts execution! - model_training
-2025-03-28 09:41:49,477 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-28 09:41:50,284 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
-2025-03-28 09:42:35,806 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-28 09:42:40,835 - tf_fmi_train.py - INFO - Program starts execution! - model_training
-2025-03-28 09:42:47,459 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-28 09:42:51,045 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
-2025-03-28 09:45:13,770 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-28 09:45:32,937 - tf_fmi_train.py - INFO - Program starts execution! - model_training
-2025-03-28 09:45:59,675 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-28 09:47:20,649 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-28 09:47:24,365 - tf_fmi_train.py - INFO - Program starts execution! - model_training
-2025-03-28 09:47:32,614 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-28 09:47:33,522 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
-2025-03-28 09:47:35,902 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-28 09:47:46,273 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-28 09:47:46,273 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-28 09:47:46,306 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-28 09:47:46,307 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-28 09:47:46,307 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-28 09:47:46,308 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-28 09:47:46,308 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-28 09:47:46,308 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-28 09:47:46,312 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-28 09:47:46,312 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-28 09:47:46,317 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-28 09:47:46,318 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-28 09:47:46,319 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-28 09:47:46,320 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-28 09:47:46,321 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-28 09:47:46,321 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-28 09:47:46,322 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-28 09:47:46,322 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-28 09:47:46,323 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-28 09:47:46,324 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-28 09:47:46,325 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-28 09:47:46,325 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-28 09:47:46,326 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-28 09:47:46,326 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-28 09:47:46,326 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-28 09:47:46,340 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-28 09:47:46,340 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-28 09:47:46,342 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-28 09:47:46,342 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-28 09:47:46,344 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-28 09:47:46,344 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-28 09:47:46,345 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-28 09:47:46,345 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-28 09:47:46,346 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-28 09:47:46,346 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-28 09:47:46,347 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-28 09:47:46,347 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-28 09:47:46,348 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-28 09:47:46,348 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-28 09:47:46,350 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-28 09:47:47,803 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-28 09:47:47,810 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-28 09:47:47,815 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-28 09:47:47,819 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-28 09:47:47,824 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-28 09:47:47,828 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-28 09:47:47,833 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-28 09:47:47,837 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-28 09:47:47,843 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-28 09:47:47,847 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-28 09:47:47,852 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-28 09:47:47,856 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-28 09:47:47,860 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-28 09:47:47,865 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-28 09:47:47,869 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-28 09:47:47,870 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-28 09:47:58,110 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-28 09:47:58,110 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-28 09:47:58,110 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-28 09:47:58,110 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-28 09:47:58,110 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-28 09:47:58,110 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-28 09:47:58,110 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-28 09:47:58,110 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-28 09:48:03,145 - dbmg.py - INFO - ❌ 系统异常: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'} - get_keras_model_from_mongo
-2025-03-28 09:48:03,145 - tf_fmi.py - INFO - 加强训练加载模型权重失败:("Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'}",) - train_init
-2025-03-28 09:48:42,795 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
- - _tfmw_add_deprecation_warning
-2025-03-28 09:48:42,894 - tf_fmi_train.py - INFO - Program starts execution! - model_training
-2025-03-28 09:48:42,947 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
-2025-03-28 09:48:42,956 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
-2025-03-28 09:48:42,970 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
-2025-03-28 09:48:42,981 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
-2025-03-28 09:48:42,981 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
-2025-03-28 09:48:43,016 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
-2025-03-28 09:48:43,016 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-28 09:48:43,016 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-28 09:48:43,017 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
-2025-03-28 09:48:43,017 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
-2025-03-28 09:48:43,017 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
-2025-03-28 09:48:43,022 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
-2025-03-28 09:48:43,022 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
-2025-03-28 09:48:43,027 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
-2025-03-28 09:48:43,027 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-28 09:48:43,028 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
-2025-03-28 09:48:43,028 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-28 09:48:43,029 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
-2025-03-28 09:48:43,030 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
-2025-03-28 09:48:43,030 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
-2025-03-28 09:48:43,031 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-28 09:48:43,032 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
-2025-03-28 09:48:43,032 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-28 09:48:43,033 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
-2025-03-28 09:48:43,033 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
-2025-03-28 09:48:43,033 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
-2025-03-28 09:48:43,034 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
-2025-03-28 09:48:43,034 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
-2025-03-28 09:48:43,047 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
-2025-03-28 09:48:43,047 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
-2025-03-28 09:48:43,049 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
-2025-03-28 09:48:43,049 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
-2025-03-28 09:48:43,050 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
-2025-03-28 09:48:43,051 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-28 09:48:43,052 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
-2025-03-28 09:48:43,052 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-28 09:48:43,053 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
-2025-03-28 09:48:43,053 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-28 09:48:43,054 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
-2025-03-28 09:48:43,054 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
-2025-03-28 09:48:43,055 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
-2025-03-28 09:48:43,055 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
-2025-03-28 09:48:43,056 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
-2025-03-28 09:48:43,057 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
-2025-03-28 09:48:43,061 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
-2025-03-28 09:48:43,062 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
-2025-03-28 09:48:43,063 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-28 09:48:43,064 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
-2025-03-28 09:48:43,065 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-28 09:48:43,067 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-28 09:48:43,067 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
-2025-03-28 09:48:43,069 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
-2025-03-28 09:48:43,071 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
-2025-03-28 09:48:43,072 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
-2025-03-28 09:48:43,073 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-28 09:48:43,074 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-28 09:48:43,075 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
-2025-03-28 09:48:43,076 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
-2025-03-28 09:48:43,076 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
-2025-03-28 09:48:45,483 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-28 09:48:45,484 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-28 09:48:45,484 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-28 09:48:45,484 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-28 09:48:45,484 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-28 09:48:45,484 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-28 09:48:45,484 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
-2025-03-28 09:48:45,484 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
-2025-03-28 09:48:45,672 - dbmg.py - INFO - ❌ 系统异常: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'} - get_keras_model_from_mongo
-2025-03-28 09:48:45,672 - tf_fmi.py - INFO - 加强训练加载模型权重失败:("Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'}",) - train_init
-2025-03-28 09:48:56,555 - tf_fmi.py - INFO - -----模型训练经过27轮迭代----- - training
-2025-03-28 09:48:56,556 - tf_fmi.py - INFO - 训练集损失函数为：[50.81253 27.42134 15.70889  9.45657  5.92459  3.68006  2.2472   1.37757
-  0.88398  0.61301  0.46807  0.38933  0.34411  0.32137  0.30921  0.30322
-  0.29953  0.29853  0.29652  0.29489  0.29435  0.29366  0.29466  0.29338
-  0.29248  0.29236  0.2922 ] - training
-2025-03-28 09:48:56,556 - tf_fmi.py - INFO - 验证集损失函数为：[31.24954 19.522   11.71835  7.35976  4.65779  2.91401  1.82848  1.18742
-  0.80744  0.58592  0.46629  0.40836  0.38216  0.37268  0.37405  0.36883
-  0.36879  0.38428  0.37288  0.37732  0.38255  0.39734  0.39197  0.41757
-  0.39943  0.39559  0.42329] - training
-2025-03-28 09:48:56,621 - dbmg.py - INFO - ❌ 数据库操作 - 详细错误: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'} - insert_trained_model_into_mongo