活动介绍
file-type

解决Android Studio中Ctrl+Space快捷提示失效方法

ZIP文件

下载需积分: 16 | 391B | 更新于2025-04-04 | 59 浏览量 | 51 下载量 举报 收藏
download 立即下载
在探讨如何解决Windows 7操作系统中Android Studio的Ctrl+Space快捷键功能失效问题之前,我们先要了解一些背景知识。 首先,Ctrl+Space(控制键加空格键)在不同的程序中有不同的功能。在Android Studio等集成开发环境(IDE)中,这个快捷键通常被用来触发代码自动完成(Code Completion)功能,即快速提示代码建议,帮助开发者更高效地编写代码。然而,在Windows操作系统中,Ctrl+Space还有一个常用的功能,那就是切换输入法。这是因为Windows系统本身支持多种语言输入,并允许用户通过特定的快捷键在不同的输入法之间切换。 当我们遇到在Android Studio中使用Ctrl+Space快捷键无法触发代码自动完成提示的情况时,可能的原因之一就是Windows系统中该快捷键被设置为切换输入法。为了恢复IDE中的代码自动完成功能,需要对系统快捷键设置进行调整。 这个问题的解决方案就是修改Windows注册表(Windows Registry),这是一种用于存储Windows操作系统配置信息的数据库。通过修改注册表,我们可以改变系统行为,包括快捷键的配置。不过,由于直接编辑注册表存在风险,可能导致系统不稳定或其他问题,因此建议在进行此类操作之前备份注册表。 在给定的文件信息中,提到了一个名为“disable_ctrl_space”的压缩包文件。这个压缩包文件内包含了一个名为“disable_ctrl_space.reg”的注册表文件。通过双击运行这个注册表文件,我们可以实现对Windows注册表的修改,进而禁用掉Ctrl+Space快捷键切换输入法的功能。 具体步骤如下: 1. 首先确保已经备份了Windows注册表,以防操作失误导致系统问题。 2. 下载并解压“disable_ctrl_space”压缩包文件。 3. 找到解压出来的“disable_ctrl_space.reg”文件。 4. 右键点击该注册表文件,并选择“合并”(Merge),或者双击文件使其自动执行。Windows会弹出确认框,提示你是否要将这些信息添加到注册表中。 5. 点击“是”,完成注册表修改。 6. 为了使更改生效,可能需要重启Windows或者重启Android Studio。 7. 重启后,尝试在Android Studio中使用Ctrl+Space快捷键,应该可以恢复代码自动完成提示功能。 值得注意的是,即使该注册表文件的作用是禁用切换输入法的Ctrl+Space,有时候不同版本的Windows系统可能对注册表的响应不同,或者与其他程序的快捷键冲突,所以有可能需要额外的步骤来确保设置正确。 在处理此类问题时,还应当注意,由于操作系统的更新和IDE的升级,有时也会改变快捷键的设置和功能,因此在不同版本的操作系统或开发环境中,可能需要查阅官方文档或社区论坛来获取最新的解决方案。此外,某些第三方输入法软件也可能具有自己的快捷键设置,如果系统中安装了这些软件,可能还需要进入软件设置中检查快捷键冲突。 总结来说,通过修改注册表来禁用Windows系统中Ctrl+Space切换输入法的功能,可以解决Android Studio中代码自动完成提示无法触发的问题。然而,需要注意的是,注册表修改是一个高级操作,需要谨慎对待,确保操作前备份注册表,并在操作后重启相关应用程序或系统。此外,随着软件环境的更新,操作步骤和最终效果可能会有所变化,应当留意后续的系统更新和软件升级信息。

相关推荐

filetype

[2025.06.20-13.02.25:619][770]LogStreaming: Error: /Game/Resources/space/map/Kailo_J20 [2025.06.20-13.02.25:629][770]LogBlueprint: Warning: USimpleConstructionScript::FixupRootNodeParentReferences() - Couldn't find native parent component 'Sprite' for 'SM_rock_A1_02' in BlueprintGeneratedClass 'Spawn_MineOreQTE_C' (it may have been removed) [2025.06.20-13.02.25:629][770]LogBlueprint: Warning: USimpleConstructionScript::FixupRootNodeParentReferences() - Couldn't find native parent component 'Sprite' for 'ChildActor' in BlueprintGeneratedClass 'Spawn_MineOreQTE_C' (it may have been removed) [2025.06.20-13.02.25:631][770]LogBlueprint: Warning: USimpleConstructionScript::FixupRootNodeParentReferences() - Couldn't find native parent component 'Sprite' for 'Billboard' in BlueprintGeneratedClass 'BP_Space_BuffSupply_Manager_C' (it may have been removed) [2025.06.20-13.02.25:694][770]LogBlueprint: Warning: USimpleConstructionScript::FixupRootNodeParentReferences() - Couldn't find native parent component 'Sprite' for 'GoldMiners_Launcher' in BlueprintGeneratedClass 'GoldMiners_Point_Space_C' (it may have been removed) [2025.06.20-13.02.25:881][770]LogClass: Warning: Property QRSLPlayerCharacter::PlayerGuildBossSaveData (SourceClass: QRSLPlayerCharacter) was not registered in GetLifetimeReplicatedProps. This property will not be replicated. Use DISABLE_REPLICATED_PROPERTY if not replicating was intentional. [2025.06.20-13.02.25:881][770]LogClass: Warning: Property QRSLPlayerCharacter::bOverseasAttention (SourceClass: QRSLPlayerCharacter) was not registered in GetLifetimeReplicatedProps. This property will not be replicated. Use DISABLE_REPLICATED_PROPERTY if not replicating was intentional.

filetype

EPRobot@EPRobot:~/robot_ws/src/eprobot_start/script/one_car_pkg$ roslaunch eprobot_start one_car_start.launch RLException: [one_car_start.launch] is neither a launch file in package [eprobot_start] nor is [eprobot_start] a launch file name The traceback for the exception was written to the log file EPRobot@EPRobot:~/robot_ws/src/eprobot_start/script/one_car_pkg$ roscd usd_cam roscd: No such package/stack 'usd_cam' EPRobot@EPRobot:~/robot_ws/src/eprobot_start/script/one_car_pkg$ source /opt/ros/melodic/setup.bash EPRobot@EPRobot:~/robot_ws/src/eprobot_start/script/one_car_pkg$ cd ~/robot_ws EPRobot@EPRobot:~/robot_ws$ source devel/setup.bash EPRobot@EPRobot:~/robot_ws$ roslaunch eprobot_start one_car_start.launch ... logging to /home/EPRobot/.ros/log/98e3a152-624a-11f0-a474-e45f0131f240/roslaunch-EPRobot-28515.log Checking log directory for disk usage. This may take a while. Press Ctrl-C to interrupt Done checking log file disk usage. Usage is <1GB. started roslaunch server http://EPRobot:33123/ SUMMARY ======== CLEAR PARAMETERS * /ekf_se/ PARAMETERS * /amcl/base_frame_id: base_footprint * /amcl/global_frame_id: map * /amcl/gui_publish_rate: 10.0 * /amcl/initial_pose_a: 0.0 * /amcl/initial_pose_x: 0.0 * /amcl/initial_pose_y: 0.0 * /amcl/kld_err: 0.05 * /amcl/kld_z: 0.99 * /amcl/laser_lambda_short: 0.1 * /amcl/laser_likelihood_max_dist: 5.0 * /amcl/laser_max_beams: 60 * /amcl/laser_max_range: 12.0 * /amcl/laser_model_type: likelihood_field * /amcl/laser_sigma_hit: 0.2 * /amcl/laser_z_hit: 0.7 * /amcl/laser_z_max: 0.1 * /amcl/laser_z_rand: 0.3 * /amcl/laser_z_short: 0.1 * /amcl/max_particles: 2000 * /amcl/min_particles: 600 * /amcl/odom_alpha1: 0.2 * /amcl/odom_alpha2: 0.2 * /amcl/odom_alpha3: 0.2 * /amcl/odom_alpha4: 0.2 * /amcl/odom_alpha5: 0.1 * /amcl/odom_frame_id: odom * /amcl/odom_model_type: diff * /amcl/recovery_alpha_fast: 0.2 * /amcl/recovery_alpha_slow: 0.005 * /amcl/resample_interval: 0.4 * /amcl/transform_tolerance: 0.5 * /amcl/update_min_a: 0.05 * /amcl/update_min_d: 0.05 * /amcl/use_map_topic: True * /base_control/base_kd: 0.0 * /base_control/base_ki: 100.0 * /base_control/base_kp: 1000.0 * /base_control/base_kv: 1.0 * /base_control/is_send_anger: false * /camera_uri: http://192.168.3.... * /ekf_se/base_link_frame: /base_footprint * /ekf_se/debug: False * /ekf_se/debug_out_file: /path/to/debug/fi... * /ekf_se/frequency: 30 * /ekf_se/imu0: /imu_data * /ekf_se/imu0_config: [False, False, Fa... * /ekf_se/imu0_differential: False * /ekf_se/imu0_nodelay: True * /ekf_se/imu0_pose_rejection_threshold: 0.8 * /ekf_se/imu0_queue_size: 8 * /ekf_se/imu0_relative: True * /ekf_se/imu0_remove_gravitational_acceleration: True * /ekf_se/initial_estimate_covariance: ['1e-9', 0, 0, 0,... * /ekf_se/map_frame: /map * /ekf_se/odom0: /odom * /ekf_se/odom0_config: [False, False, Fa... * /ekf_se/odom0_differential: False * /ekf_se/odom0_nodelay: True * /ekf_se/odom0_queue_size: 5 * /ekf_se/odom0_relative: True * /ekf_se/odom_frame: /odom * /ekf_se/print_diagnostics: True * /ekf_se/process_noise_covariance: [0.01, 0, 0, 0, 0... * /ekf_se/publish_acceleration: True * /ekf_se/publish_tf: True * /ekf_se/sensor_timeout: 0.025 * /ekf_se/transform_time_offset: 0.0001 * /ekf_se/transform_timeout: 0.025 * /ekf_se/two_d_mode: True * /ekf_se/world_frame: /odom * /image_view/autosize: True * /laser_filter/scan_filter_chain: [{'type': 'laser_... * /lslidar_driver_node/angle_disable_max: 0 * /lslidar_driver_node/angle_disable_min: 0 * /lslidar_driver_node/compensation: False * /lslidar_driver_node/frame_id: base_laser_link * /lslidar_driver_node/high_reflection: False * /lslidar_driver_node/interface_selection: serial * /lslidar_driver_node/lidar_name: M10 * /lslidar_driver_node/max_range: 100.0 * /lslidar_driver_node/min_range: 0.1 * /lslidar_driver_node/pubPointCloud2: False * /lslidar_driver_node/pubScan: True * /lslidar_driver_node/scan_topic: scan * /lslidar_driver_node/serial_port: /dev/EPRobot_laser * /lslidar_driver_node/use_gps_ts: False * /map_server/frame_id: map * /move_base/TebLocalPlannerROS/acc_lim_theta: 0.3 * /move_base/TebLocalPlannerROS/acc_lim_x: 0.2 * /move_base/TebLocalPlannerROS/allow_init_with_backwards_motion: True * /move_base/TebLocalPlannerROS/cmd_angle_instead_rotvel: False * /move_base/TebLocalPlannerROS/costmap_converter_plugin: * /move_base/TebLocalPlannerROS/costmap_converter_rate: 5 * /move_base/TebLocalPlannerROS/costmap_converter_spin_thread: True * /move_base/TebLocalPlannerROS/costmap_obstacles_behind_robot_dist: 1.0 * /move_base/TebLocalPlannerROS/dt_hysteresis: 0.1 * /move_base/TebLocalPlannerROS/dt_ref: 0.3 * /move_base/TebLocalPlannerROS/dynamic_obstacle_inflation_dist: 0.2 * /move_base/TebLocalPlannerROS/enable_homotopy_class_planning: False * /move_base/TebLocalPlannerROS/enable_multithreading: True * /move_base/TebLocalPlannerROS/exact_arc_length: False * /move_base/TebLocalPlannerROS/feasibility_check_no_poses: 3 * /move_base/TebLocalPlannerROS/footprint_model/line_end: [0.1, 0.0] * /move_base/TebLocalPlannerROS/footprint_model/line_start: [-0.1, 0.0] * /move_base/TebLocalPlannerROS/footprint_model/type: line * /move_base/TebLocalPlannerROS/force_reinit_new_goal_dist: 0.5 * /move_base/TebLocalPlannerROS/free_goal_vel: False * /move_base/TebLocalPlannerROS/global_plan_overwrite_orientation: True * /move_base/TebLocalPlannerROS/global_plan_viapoint_sep: 3.0 * /move_base/TebLocalPlannerROS/h_signature_prescaler: 0.5 * /move_base/TebLocalPlannerROS/h_signature_threshold: 0.1 * /move_base/TebLocalPlannerROS/include_costmap_obstacles: True * /move_base/TebLocalPlannerROS/include_dynamic_obstacles: True * /move_base/TebLocalPlannerROS/inflation_dist: 0.35 * /move_base/TebLocalPlannerROS/is_footprint_dynamic: False * /move_base/TebLocalPlannerROS/legacy_obstacle_association: False * /move_base/TebLocalPlannerROS/max_global_plan_lookahead_dist: 10.0 * /move_base/TebLocalPlannerROS/max_number_classes: 2 * /move_base/TebLocalPlannerROS/max_vel_theta: 1.0 * /move_base/TebLocalPlannerROS/max_vel_x: 0.6 * /move_base/TebLocalPlannerROS/max_vel_x_backwards: 0.3 * /move_base/TebLocalPlannerROS/max_vel_y: 0.0 * /move_base/TebLocalPlannerROS/min_obstacle_dist: 0.55 * /move_base/TebLocalPlannerROS/min_turning_radius: 0.6 * /move_base/TebLocalPlannerROS/no_inner_iterations: 5 * /move_base/TebLocalPlannerROS/no_outer_iterations: 4 * /move_base/TebLocalPlannerROS/obstacle_association_cutoff_factor: 5.0 * /move_base/TebLocalPlannerROS/obstacle_association_force_inclusion_factor: 1.5 * /move_base/TebLocalPlannerROS/obstacle_cost_exponent: 5.5 * /move_base/TebLocalPlannerROS/obstacle_heading_threshold: 0.45 * /move_base/TebLocalPlannerROS/obstacle_keypoint_offset: 0.1 * /move_base/TebLocalPlannerROS/obstacle_poses_affected: 15 * /move_base/TebLocalPlannerROS/odom_topic: odom * /move_base/TebLocalPlannerROS/optimization_activate: True * /move_base/TebLocalPlannerROS/optimization_verbose: False * /move_base/TebLocalPlannerROS/oscillation_recovery: True * /move_base/TebLocalPlannerROS/penalty_epsilon: 0.08 * /move_base/TebLocalPlannerROS/roadmap_graph_area_length_scale: 1.0 * /move_base/TebLocalPlannerROS/roadmap_graph_area_width: 5 * /move_base/TebLocalPlannerROS/roadmap_graph_no_samples: 15 * /move_base/TebLocalPlannerROS/selection_alternative_time_cost: False * /move_base/TebLocalPlannerROS/selection_cost_hysteresis: 1.0 * /move_base/TebLocalPlannerROS/selection_obst_cost_scale: 1.0 * /move_base/TebLocalPlannerROS/selection_viapoint_cost_scale: 1.0 * /move_base/TebLocalPlannerROS/shrink_horizon_backup: True * /move_base/TebLocalPlannerROS/simple_exploration: False * /move_base/TebLocalPlannerROS/teb_autosize: True * /move_base/TebLocalPlannerROS/via_points_ordered: False * /move_base/TebLocalPlannerROS/visualize_hc_graph: False * /move_base/TebLocalPlannerROS/weight_acc_lim_theta: 1 * /move_base/TebLocalPlannerROS/weight_acc_lim_x: 1 * /move_base/TebLocalPlannerROS/weight_adapt_factor: 1.0 * /move_base/TebLocalPlannerROS/weight_dynamic_obstacle: 100 * /move_base/TebLocalPlannerROS/weight_dynamic_obstacle_inflation: 0.6 * /move_base/TebLocalPlannerROS/weight_inflation: 1.0 * /move_base/TebLocalPlannerROS/weight_kinematics_forward_drive: 800 * /move_base/TebLocalPlannerROS/weight_kinematics_nh: 1000 * /move_base/TebLocalPlannerROS/weight_kinematics_turning_radius: 6.0 * /move_base/TebLocalPlannerROS/weight_max_vel_theta: 1 * /move_base/TebLocalPlannerROS/weight_max_vel_x: 2 * /move_base/TebLocalPlannerROS/weight_obstacle: 190 * /move_base/TebLocalPlannerROS/weight_optimaltime: 15 * /move_base/TebLocalPlannerROS/weight_shortest_path: 5.0 * /move_base/TebLocalPlannerROS/weight_viapoint: 10.0 * /move_base/TebLocalPlannerROS/wheelbase: 0.3 * /move_base/TebLocalPlannerROS/xy_goal_tolerance: 0.1 * /move_base/TebLocalPlannerROS/yaw_goal_tolerance: 0.1 * /move_base/base_local_planner: teb_local_planner... * /move_base/clearing_rotation_allowed: False * /move_base/conservative_reset_dist: 0.2 * /move_base/controller_frequency: 5.0 * /move_base/controller_patience: 15.0 * /move_base/global_costmap/footprint: [[-0.18, -0.18], ... * /move_base/global_costmap/global_frame: map * /move_base/global_costmap/inflation_layer/cost_scaling_factor: 10.0 * /move_base/global_costmap/inflation_layer/enabled: True * /move_base/global_costmap/inflation_layer/inflation_radius: 0.3 * /move_base/global_costmap/inflation_radius: 0.4 * /move_base/global_costmap/laser_scan_sensor/clearing: True * /move_base/global_costmap/laser_scan_sensor/data_type: LaserScan * /move_base/global_costmap/laser_scan_sensor/marking: True * /move_base/global_costmap/laser_scan_sensor/topic: scan * /move_base/global_costmap/map_type: costmap * /move_base/global_costmap/observation_sources: laser_scan_sensor * /move_base/global_costmap/obstacle_layer/combination_method: 1 * /move_base/global_costmap/obstacle_layer/enabled: True * /move_base/global_costmap/obstacle_layer/inflation_radius: 0.2 * /move_base/global_costmap/obstacle_layer/obstacle_range: 6.5 * /move_base/global_costmap/obstacle_layer/raytrace_range: 6.0 * /move_base/global_costmap/obstacle_layer/track_unknown_space: False * /move_base/global_costmap/plugins: [{'type': 'costma... * /move_base/global_costmap/publish_frequency: 5.0 * /move_base/global_costmap/robot_base_frame: base_footprint * /move_base/global_costmap/static_layer/enabled: True * /move_base/global_costmap/static_layer/map_topic: /map * /move_base/global_costmap/static_map: True * /move_base/global_costmap/transform_tolerance: 0.5 * /move_base/global_costmap/update_frequency: 5.0 * /move_base/local_costmap/cost_scaling_factor: 10 * /move_base/local_costmap/footprint: [[-0.18, -0.18], ... * /move_base/local_costmap/global_frame: map * /move_base/local_costmap/height: 3 * /move_base/local_costmap/inflation_layer/cost_scaling_factor: 10.0 * /move_base/local_costmap/inflation_layer/enabled: True * /move_base/local_costmap/inflation_layer/inflation_radius: 0.3 * /move_base/local_costmap/inflation_radius: 0.16 * /move_base/local_costmap/laser_scan_sensor/clearing: True * /move_base/local_costmap/laser_scan_sensor/data_type: LaserScan * /move_base/local_costmap/laser_scan_sensor/marking: True * /move_base/local_costmap/laser_scan_sensor/topic: scan * /move_base/local_costmap/map_type: costmap * /move_base/local_costmap/observation_sources: laser_scan_sensor * /move_base/local_costmap/obstacle_layer/combination_method: 1 * /move_base/local_costmap/obstacle_layer/enabled: True * /move_base/local_costmap/obstacle_layer/inflation_radius: 0.2 * /move_base/local_costmap/obstacle_layer/obstacle_range: 6.5 * /move_base/local_costmap/obstacle_layer/raytrace_range: 6.0 * /move_base/local_costmap/obstacle_layer/track_unknown_space: False * /move_base/local_costmap/plugins: [{'type': 'costma... * /move_base/local_costmap/publish_frequency: 5.0 * /move_base/local_costmap/resolution: 0.05 * /move_base/local_costmap/robot_base_frame: base_footprint * /move_base/local_costmap/rolling_window: True * /move_base/local_costmap/static_layer/enabled: True * /move_base/local_costmap/static_layer/map_topic: /map * /move_base/local_costmap/static_map: False * /move_base/local_costmap/transform_tolerance: 0.5 * /move_base/local_costmap/update_frequency: 5.0 * /move_base/local_costmap/width: 3 * /move_base/oscillation_distance: 0.2 * /move_base/oscillation_timeout: 10.0 * /move_base/planner_frequency: 1.0 * /move_base/planner_patience: 5.0 * /robot_description: <?xml version="1.... * /rosdistro: melodic * /rosversion: 1.14.13 * /time0: 5.0 * /time1: 15.0 * /time2: 2.0 * /time3: 10.0 * /time4: 2.0 * /time5: 5.0 * /usb_cam/camera_frame_id: usb_cam * /usb_cam/color_format: yuv422p * /usb_cam/image_height: 960 * /usb_cam/image_width: 1280 * /usb_cam/io_method: mmap * /usb_cam/pixel_format: yuyv * /usb_cam/video_device: /dev/video0 NODES / amcl (amcl/amcl) base_control (eprobot_start/art_racecar.py) base_to_camera (tf/static_transform_publisher) base_to_gyro (tf/static_transform_publisher) base_to_laser (tf/static_transform_publisher) base_to_link (tf/static_transform_publisher) ekf_se (robot_localization/ekf_localization_node) image_view (image_view/image_view) joint_state_publisher (joint_state_publisher/joint_state_publisher) laser_filter (laser_filters/scan_to_scan_filter_chain) lslidar_driver_node (lslidar_driver/lslidar_driver_node) map_server (map_server/map_server) move_base (move_base/move_base) one_car_start (eprobot_start/one_car_start.py) robot_state_publisher (robot_state_publisher/robot_state_publisher) usb_cam (usb_cam/usb_cam_node) auto-starting new master process[master]: started with pid [28540] ROS_MASTER_URI=http://EPRobot:11311 setting /run_id to 98e3a152-624a-11f0-a474-e45f0131f240 process[rosout-1]: started with pid [28569] started core service [/rosout] process[usb_cam-2]: started with pid [28577] [ INFO] [1752673306.541706342]: using default calibration URL [ INFO] [1752673306.544599750]: camera calibration URL: file:///home/EPRobot/.ros/camera_info/head_camera.yaml [ INFO] [1752673306.548678571]: Starting 'head_camera' (/dev/video0) at 1280x960 via mmap (yuyv) at 30 FPS [ WARN] [1752673306.947265581]: unknown control 'focus_auto' process[image_view-3]: started with pid [28591] [ INFO] [1752673307.509032663]: Initializing nodelet with 4 worker threads. [ INFO] [1752673307.861474363]: Using transport "raw" Unable to init server: Could not connect: Connection refused (image_raw:28591): Gtk-WARNING **: 21:41:47.890: cannot open display: process[base_to_link-4]: started with pid [28612] [image_view-3] process has died [pid 28591, exit code -7, cmd /opt/ros/melodic/lib/image_view/image_view image:=/usb_cam/image_raw __name:=image_view __log:=/home/EPRobot/.ros/log/98e3a152-624a-11f0-a474-e45f0131f240/image_view-3.log]. log file: /home/EPRobot/.ros/log/98e3a152-624a-11f0-a474-e45f0131f240/image_view-3*.log process[base_to_gyro-5]: started with pid [28629] process[base_to_laser-6]: started with pid [28635] process[base_to_camera-7]: started with pid [28657] process[joint_state_publisher-8]: started with pid [28680] process[robot_state_publisher-9]: started with pid [28686] /opt/ros/melodic/lib/python2.7/dist-packages/roslib/packages.py:470: UnicodeWarning: Unicode equal comparison failed to convert both arguments to Unicode - interpreting them as being unequal if resource_name in files: process[base_control-10]: started with pid [28694] ERROR: cannot launch node of type [lslidar_driver/lslidar_driver_node]: Cannot locate node of type [lslidar_driver_node] in package [lslidar_driver]. Make sure file exists in package path and permission is set to executable (chmod +x) ERROR: cannot launch node of type [laser_filters/scan_to_scan_filter_chain]: Cannot locate node of type [scan_to_scan_filter_chain] in package [laser_filters]. Make sure file exists in package path and permission is set to executable (chmod +x) ERROR: cannot launch node of type [map_server/map_server]: Cannot locate node of type [map_server] in package [map_server]. Make sure file exists in package path and permission is set to executable (chmod +x) ERROR: cannot launch node of type [amcl/amcl]: Cannot locate node of type [amcl] in package [amcl]. Make sure file exists in package path and permission is set to executable (chmod +x) ERROR: cannot launch node of type [move_base/move_base]: Cannot locate node of type [move_base] in package [move_base]. Make sure file exists in package path and permission is set to executable (chmod +x) ERROR: cannot launch node of type [robot_localization/ekf_localization_node]: Cannot locate node of type [ekf_localization_node] in package [robot_localization]. Make sure file exists in package path and permission is set to executable (chmod +x) ERROR: cannot launch node of type [eprobot_start/one_car_start.py]: Cannot locate node of type [one_car_start.py] in package [eprobot_start]. Make sure file exists in package path and permission is set to executable (chmod +x) [INFO] [1752673319.775691]: base control start... [INFO] [1752673319.816039]: LaserMode : Express [INFO] [1752673319.819294]: is_pub_odom_tf : false [INFO] [1752673319.822670]: is_send_anger : false [INFO] [1752673319.827339]: Opening Serial [INFO] [1752673319.831187]: Serial Open Succeed

filetype

EPRobot@EPRobot:~/robot_ws/src/eprobot_start/script/one_car_pkg$ roscd usb_cam EPRobot@EPRobot:/opt/ros/melodic/share/usb_cam$ source /opt/ros/melodic/setup.bash EPRobot@EPRobot:/opt/ros/melodic/share/usb_cam$ cd ~/robot_ws EPRobot@EPRobot:~/robot_ws$ source devel/setup.bash EPRobot@EPRobot:~/robot_ws$ roslaunch eprobot_start one_car_start.launch ... logging to /home/EPRobot/.ros/log/9641654e-6234-11f0-a6b3-e45f0131f240/roslaunch-EPRobot-2443.log Checking log directory for disk usage. This may take a while. Press Ctrl-C to interrupt Done checking log file disk usage. Usage is <1GB. started roslaunch server http://EPRobot:45445/ SUMMARY ======== CLEAR PARAMETERS * /ekf_se/ PARAMETERS * /amcl/base_frame_id: base_footprint * /amcl/global_frame_id: map * /amcl/gui_publish_rate: 10.0 * /amcl/initial_pose_a: 0.0 * /amcl/initial_pose_x: 0.0 * /amcl/initial_pose_y: 0.0 * /amcl/kld_err: 0.05 * /amcl/kld_z: 0.99 * /amcl/laser_lambda_short: 0.1 * /amcl/laser_likelihood_max_dist: 5.0 * /amcl/laser_max_beams: 60 * /amcl/laser_max_range: 12.0 * /amcl/laser_model_type: likelihood_field * /amcl/laser_sigma_hit: 0.2 * /amcl/laser_z_hit: 0.7 * /amcl/laser_z_max: 0.1 * /amcl/laser_z_rand: 0.3 * /amcl/laser_z_short: 0.1 * /amcl/max_particles: 2000 * /amcl/min_particles: 600 * /amcl/odom_alpha1: 0.2 * /amcl/odom_alpha2: 0.2 * /amcl/odom_alpha3: 0.2 * /amcl/odom_alpha4: 0.2 * /amcl/odom_alpha5: 0.1 * /amcl/odom_frame_id: odom * /amcl/odom_model_type: diff * /amcl/recovery_alpha_fast: 0.2 * /amcl/recovery_alpha_slow: 0.005 * /amcl/resample_interval: 0.4 * /amcl/transform_tolerance: 0.5 * /amcl/update_min_a: 0.05 * /amcl/update_min_d: 0.05 * /amcl/use_map_topic: True * /base_control/base_kd: 0.0 * /base_control/base_ki: 100.0 * /base_control/base_kp: 1000.0 * /base_control/base_kv: 1.0 * /base_control/is_send_anger: false * /camera_uri: http://192.168.3.... * /ekf_se/base_link_frame: /base_footprint * /ekf_se/debug: False * /ekf_se/debug_out_file: /path/to/debug/fi... * /ekf_se/frequency: 30 * /ekf_se/imu0: /imu_data * /ekf_se/imu0_config: [False, False, Fa... * /ekf_se/imu0_differential: False * /ekf_se/imu0_nodelay: True * /ekf_se/imu0_pose_rejection_threshold: 0.8 * /ekf_se/imu0_queue_size: 8 * /ekf_se/imu0_relative: True * /ekf_se/imu0_remove_gravitational_acceleration: True * /ekf_se/initial_estimate_covariance: ['1e-9', 0, 0, 0,... * /ekf_se/map_frame: /map * /ekf_se/odom0: /odom * /ekf_se/odom0_config: [False, False, Fa... * /ekf_se/odom0_differential: False * /ekf_se/odom0_nodelay: True * /ekf_se/odom0_queue_size: 5 * /ekf_se/odom0_relative: True * /ekf_se/odom_frame: /odom * /ekf_se/print_diagnostics: True * /ekf_se/process_noise_covariance: [0.01, 0, 0, 0, 0... * /ekf_se/publish_acceleration: True * /ekf_se/publish_tf: True * /ekf_se/sensor_timeout: 0.025 * /ekf_se/transform_time_offset: 0.0001 * /ekf_se/transform_timeout: 0.025 * /ekf_se/two_d_mode: True * /ekf_se/world_frame: /odom * /image_view/autosize: True * /laser_filter/scan_filter_chain: [{'type': 'laser_... * /lslidar_driver_node/angle_disable_max: 0 * /lslidar_driver_node/angle_disable_min: 0 * /lslidar_driver_node/compensation: False * /lslidar_driver_node/frame_id: base_laser_link * /lslidar_driver_node/high_reflection: False * /lslidar_driver_node/interface_selection: serial * /lslidar_driver_node/lidar_name: M10 * /lslidar_driver_node/max_range: 100.0 * /lslidar_driver_node/min_range: 0.1 * /lslidar_driver_node/pubPointCloud2: False * /lslidar_driver_node/pubScan: True * /lslidar_driver_node/scan_topic: scan * /lslidar_driver_node/serial_port: /dev/EPRobot_laser * /lslidar_driver_node/use_gps_ts: False * /map_server/frame_id: map * /move_base/TebLocalPlannerROS/acc_lim_theta: 0.3 * /move_base/TebLocalPlannerROS/acc_lim_x: 0.2 * /move_base/TebLocalPlannerROS/allow_init_with_backwards_motion: True * /move_base/TebLocalPlannerROS/cmd_angle_instead_rotvel: False * /move_base/TebLocalPlannerROS/costmap_converter_plugin: * /move_base/TebLocalPlannerROS/costmap_converter_rate: 5 * /move_base/TebLocalPlannerROS/costmap_converter_spin_thread: True * /move_base/TebLocalPlannerROS/costmap_obstacles_behind_robot_dist: 1.0 * /move_base/TebLocalPlannerROS/dt_hysteresis: 0.1 * /move_base/TebLocalPlannerROS/dt_ref: 0.3 * /move_base/TebLocalPlannerROS/dynamic_obstacle_inflation_dist: 0.2 * /move_base/TebLocalPlannerROS/enable_homotopy_class_planning: False * /move_base/TebLocalPlannerROS/enable_multithreading: True * /move_base/TebLocalPlannerROS/exact_arc_length: False * /move_base/TebLocalPlannerROS/feasibility_check_no_poses: 3 * /move_base/TebLocalPlannerROS/footprint_model/line_end: [0.1, 0.0] * /move_base/TebLocalPlannerROS/footprint_model/line_start: [-0.1, 0.0] * /move_base/TebLocalPlannerROS/footprint_model/type: line * /move_base/TebLocalPlannerROS/force_reinit_new_goal_dist: 0.5 * /move_base/TebLocalPlannerROS/free_goal_vel: False * /move_base/TebLocalPlannerROS/global_plan_overwrite_orientation: True * /move_base/TebLocalPlannerROS/global_plan_viapoint_sep: 3.0 * /move_base/TebLocalPlannerROS/h_signature_prescaler: 0.5 * /move_base/TebLocalPlannerROS/h_signature_threshold: 0.1 * /move_base/TebLocalPlannerROS/include_costmap_obstacles: True * /move_base/TebLocalPlannerROS/include_dynamic_obstacles: True * /move_base/TebLocalPlannerROS/inflation_dist: 0.35 * /move_base/TebLocalPlannerROS/is_footprint_dynamic: False * /move_base/TebLocalPlannerROS/legacy_obstacle_association: False * /move_base/TebLocalPlannerROS/max_global_plan_lookahead_dist: 10.0 * /move_base/TebLocalPlannerROS/max_number_classes: 2 * /move_base/TebLocalPlannerROS/max_vel_theta: 1.0 * /move_base/TebLocalPlannerROS/max_vel_x: 0.6 * /move_base/TebLocalPlannerROS/max_vel_x_backwards: 0.3 * /move_base/TebLocalPlannerROS/max_vel_y: 0.0 * /move_base/TebLocalPlannerROS/min_obstacle_dist: 0.55 * /move_base/TebLocalPlannerROS/min_turning_radius: 0.6 * /move_base/TebLocalPlannerROS/no_inner_iterations: 5 * /move_base/TebLocalPlannerROS/no_outer_iterations: 4 * /move_base/TebLocalPlannerROS/obstacle_association_cutoff_factor: 5.0 * /move_base/TebLocalPlannerROS/obstacle_association_force_inclusion_factor: 1.5 * /move_base/TebLocalPlannerROS/obstacle_cost_exponent: 5.5 * /move_base/TebLocalPlannerROS/obstacle_heading_threshold: 0.45 * /move_base/TebLocalPlannerROS/obstacle_keypoint_offset: 0.1 * /move_base/TebLocalPlannerROS/obstacle_poses_affected: 15 * /move_base/TebLocalPlannerROS/odom_topic: odom * /move_base/TebLocalPlannerROS/optimization_activate: True * /move_base/TebLocalPlannerROS/optimization_verbose: False * /move_base/TebLocalPlannerROS/oscillation_recovery: True * /move_base/TebLocalPlannerROS/penalty_epsilon: 0.08 * /move_base/TebLocalPlannerROS/roadmap_graph_area_length_scale: 1.0 * /move_base/TebLocalPlannerROS/roadmap_graph_area_width: 5 * /move_base/TebLocalPlannerROS/roadmap_graph_no_samples: 15 * /move_base/TebLocalPlannerROS/selection_alternative_time_cost: False * /move_base/TebLocalPlannerROS/selection_cost_hysteresis: 1.0 * /move_base/TebLocalPlannerROS/selection_obst_cost_scale: 1.0 * /move_base/TebLocalPlannerROS/selection_viapoint_cost_scale: 1.0 * /move_base/TebLocalPlannerROS/shrink_horizon_backup: True * /move_base/TebLocalPlannerROS/simple_exploration: False * /move_base/TebLocalPlannerROS/teb_autosize: True * /move_base/TebLocalPlannerROS/via_points_ordered: False * /move_base/TebLocalPlannerROS/visualize_hc_graph: False * /move_base/TebLocalPlannerROS/weight_acc_lim_theta: 1 * /move_base/TebLocalPlannerROS/weight_acc_lim_x: 1 * /move_base/TebLocalPlannerROS/weight_adapt_factor: 1.0 * /move_base/TebLocalPlannerROS/weight_dynamic_obstacle: 100 * /move_base/TebLocalPlannerROS/weight_dynamic_obstacle_inflation: 0.6 * /move_base/TebLocalPlannerROS/weight_inflation: 1.0 * /move_base/TebLocalPlannerROS/weight_kinematics_forward_drive: 800 * /move_base/TebLocalPlannerROS/weight_kinematics_nh: 1000 * /move_base/TebLocalPlannerROS/weight_kinematics_turning_radius: 6.0 * /move_base/TebLocalPlannerROS/weight_max_vel_theta: 1 * /move_base/TebLocalPlannerROS/weight_max_vel_x: 2 * /move_base/TebLocalPlannerROS/weight_obstacle: 190 * /move_base/TebLocalPlannerROS/weight_optimaltime: 15 * /move_base/TebLocalPlannerROS/weight_shortest_path: 5.0 * /move_base/TebLocalPlannerROS/weight_viapoint: 10.0 * /move_base/TebLocalPlannerROS/wheelbase: 0.3 * /move_base/TebLocalPlannerROS/xy_goal_tolerance: 0.1 * /move_base/TebLocalPlannerROS/yaw_goal_tolerance: 0.1 * /move_base/base_local_planner: teb_local_planner... * /move_base/clearing_rotation_allowed: False * /move_base/conservative_reset_dist: 0.2 * /move_base/controller_frequency: 5.0 * /move_base/controller_patience: 15.0 * /move_base/global_costmap/footprint: [[-0.18, -0.18], ... * /move_base/global_costmap/global_frame: map * /move_base/global_costmap/inflation_layer/cost_scaling_factor: 10.0 * /move_base/global_costmap/inflation_layer/enabled: True * /move_base/global_costmap/inflation_layer/inflation_radius: 0.3 * /move_base/global_costmap/inflation_radius: 0.4 * /move_base/global_costmap/laser_scan_sensor/clearing: True * /move_base/global_costmap/laser_scan_sensor/data_type: LaserScan * /move_base/global_costmap/laser_scan_sensor/marking: True * /move_base/global_costmap/laser_scan_sensor/topic: scan * /move_base/global_costmap/map_type: costmap * /move_base/global_costmap/observation_sources: laser_scan_sensor * /move_base/global_costmap/obstacle_layer/combination_method: 1 * /move_base/global_costmap/obstacle_layer/enabled: True * /move_base/global_costmap/obstacle_layer/inflation_radius: 0.2 * /move_base/global_costmap/obstacle_layer/obstacle_range: 6.5 * /move_base/global_costmap/obstacle_layer/raytrace_range: 6.0 * /move_base/global_costmap/obstacle_layer/track_unknown_space: False * /move_base/global_costmap/plugins: [{'type': 'costma... * /move_base/global_costmap/publish_frequency: 5.0 * /move_base/global_costmap/robot_base_frame: base_footprint * /move_base/global_costmap/static_layer/enabled: True * /move_base/global_costmap/static_layer/map_topic: /map * /move_base/global_costmap/static_map: True * /move_base/global_costmap/transform_tolerance: 0.5 * /move_base/global_costmap/update_frequency: 5.0 * /move_base/local_costmap/cost_scaling_factor: 10 * /move_base/local_costmap/footprint: [[-0.18, -0.18], ... * /move_base/local_costmap/global_frame: map * /move_base/local_costmap/height: 3 * /move_base/local_costmap/inflation_layer/cost_scaling_factor: 10.0 * /move_base/local_costmap/inflation_layer/enabled: True * /move_base/local_costmap/inflation_layer/inflation_radius: 0.3 * /move_base/local_costmap/inflation_radius: 0.16 * /move_base/local_costmap/laser_scan_sensor/clearing: True * /move_base/local_costmap/laser_scan_sensor/data_type: LaserScan * /move_base/local_costmap/laser_scan_sensor/marking: True * /move_base/local_costmap/laser_scan_sensor/topic: scan * /move_base/local_costmap/map_type: costmap * /move_base/local_costmap/observation_sources: laser_scan_sensor * /move_base/local_costmap/obstacle_layer/combination_method: 1 * /move_base/local_costmap/obstacle_layer/enabled: True * /move_base/local_costmap/obstacle_layer/inflation_radius: 0.2 * /move_base/local_costmap/obstacle_layer/obstacle_range: 6.5 * /move_base/local_costmap/obstacle_layer/raytrace_range: 6.0 * /move_base/local_costmap/obstacle_layer/track_unknown_space: False * /move_base/local_costmap/plugins: [{'type': 'costma... * /move_base/local_costmap/publish_frequency: 5.0 * /move_base/local_costmap/resolution: 0.05 * /move_base/local_costmap/robot_base_frame: base_footprint * /move_base/local_costmap/rolling_window: True * /move_base/local_costmap/static_layer/enabled: True * /move_base/local_costmap/static_layer/map_topic: /map * /move_base/local_costmap/static_map: False * /move_base/local_costmap/transform_tolerance: 0.5 * /move_base/local_costmap/update_frequency: 5.0 * /move_base/local_costmap/width: 3 * /move_base/oscillation_distance: 0.2 * /move_base/oscillation_timeout: 10.0 * /move_base/planner_frequency: 1.0 * /move_base/planner_patience: 5.0 * /robot_description: <?xml version="1.... * /rosdistro: melodic * /rosversion: 1.14.13 * /time0: 5.0 * /time1: 15.0 * /time2: 2.0 * /time3: 10.0 * /time4: 2.0 * /time5: 5.0 * /usb_cam/camera_frame_id: usb_cam * /usb_cam/color_format: yuv422p * /usb_cam/image_height: 960 * /usb_cam/image_width: 1280 * /usb_cam/io_method: mmap * /usb_cam/pixel_format: yuyv * /usb_cam/video_device: /dev/video0 NODES / amcl (amcl/amcl) base_control (eprobot_start/art_racecar.py) base_to_camera (tf/static_transform_publisher) base_to_gyro (tf/static_transform_publisher) base_to_laser (tf/static_transform_publisher) base_to_link (tf/static_transform_publisher) ekf_se (robot_localization/ekf_localization_node) image_view (image_view/image_view) joint_state_publisher (joint_state_publisher/joint_state_publisher) laser_filter (laser_filters/scan_to_scan_filter_chain) lslidar_driver_node (lslidar_driver/lslidar_driver_node) map_server (map_server/map_server) move_base (move_base/move_base) one_car_start (eprobot_start/one_car_start.py) robot_state_publisher (robot_state_publisher/robot_state_publisher) usb_cam (usb_cam/usb_cam_node) auto-starting new master process[master]: started with pid [2469] ROS_MASTER_URI=http://EPRobot:11311 setting /run_id to 9641654e-6234-11f0-a6b3-e45f0131f240 process[rosout-1]: started with pid [2498] started core service [/rosout] process[usb_cam-2]: started with pid [2502] process[image_view-3]: started with pid [2519] [ INFO] [1752663855.296181382]: Initializing nodelet with 4 worker threads. [ INFO] [1752663855.480798436]: using default calibration URL [ INFO] [1752663855.484462140]: camera calibration URL: file:///home/EPRobot/.ros/camera_info/head_camera.yaml [ INFO] [1752663855.491997843]: Starting 'head_camera' (/dev/video0) at 1280x960 via mmap (yuyv) at 30 FPS [ INFO] [1752663855.661129732]: Using transport "raw" Unable to init server: Could not connect: Connection refused (image_raw:2519): Gtk-WARNING **: 19:04:15.720: cannot open display: [ WARN] [1752663855.904948901]: unknown control 'focus_auto' process[base_to_link-4]: started with pid [2537] [image_view-3] process has died [pid 2519, exit code 1, cmd /opt/ros/melodic/lib/image_view/image_view image:=/usb_cam/image_raw __name:=image_view __log:=/home/EPRobot/.ros/log/9641654e-6234-11f0-a6b3-e45f0131f240/image_view-3.log]. log file: /home/EPRobot/.ros/log/9641654e-6234-11f0-a6b3-e45f0131f240/image_view-3*.log process[base_to_gyro-5]: started with pid [2556] process[base_to_laser-6]: started with pid [2562] process[base_to_camera-7]: started with pid [2583] process[joint_state_publisher-8]: started with pid [2604] process[robot_state_publisher-9]: started with pid [2610] /opt/ros/melodic/lib/python2.7/dist-packages/roslib/packages.py:470: UnicodeWarning: Unicode equal comparison failed to convert both arguments to Unicode - interpreting them as being unequal if resource_name in files: process[base_control-10]: started with pid [2618] process[lslidar_driver_node-11]: started with pid [2647] [ INFO] [1752663866.105583696]: Lidar is M10 [ INFO] [1752663866.111040782]: Opening PCAP file port = /dev/EPRobot_laser, baud_rate = 460800 open_port /dev/EPRobot_laser OK ! [ INFO] [1752663866.125467287]: Initialised lslidar without error process[laser_filter-12]: started with pid [2676] [ INFO] [1752663867.962878802]: clear_inside(!invert): true [INFO] [1752663869.073894]: base control start... process[map_server-13]: started with pid [2683] [INFO] [1752663869.127131]: LaserMode : Express [INFO] [1752663869.131959]: is_pub_odom_tf : false [INFO] [1752663869.138982]: is_send_anger : false [INFO] [1752663869.144625]: Opening Serial [INFO] [1752663869.150115]: Serial Open Succeed process[amcl-14]: started with pid [2718] [ INFO] [1752663871.037123474]: Subscribed to map topic. process[move_base-15]: started with pid [2774] process[ekf_se-16]: started with pid [2814] ERROR: cannot launch node of type [eprobot_start/one_car_start.py]: Cannot locate node of type [one_car_start.py] in package [eprobot_start]. Make sure file exists in package path and permission is set to executable (chmod +x) [ WARN] [1752663879.396290450]: Timed out waiting for transform from base_footprint to map to become available before running costmap, tf error: canTransform: target_frame map does not exist. canTransform: source_frame base_footprint does not exist.. canTransform returned after 0.100705 timeout was 0.1. [ INFO] [1752663880.901153484]: Received a 113 X 155 map @ 0.050 m/pix [ INFO] [1752663880.938459111]: Initializing likelihood field model; this can take some time on large maps... [ INFO] [1752663881.063300341]: Done initializing likelihood field model. [ WARN] [1752663883.460416017]: Transform from IMU_link to base_footprint was unavailable for the time requested. Using latest instead. [ WARN] [1752663884.436037594]: Timed out waiting for transform from base_footprint to map to become available before running costmap, tf error: canTransform: target_frame map does not exist.. canTransform returned after 0.100968 timeout was 0.1. [ WARN] [1752663886.469901598]: No laser scan received (and thus no pose updates have been published) for 1752663886.469788 seconds. Verify that data is being published on the /scan_filtered topic. [ WARN] [1752663887.516970206]: global_costmap: Pre-Hydro parameter "static_map" unused since "plugins" is provided [ WARN] [1752663887.518994345]: global_costmap: Pre-Hydro parameter "map_type" unused since "plugins" is provided [ INFO] [1752663887.523573417]: global_costmap: Using plugin "static_layer" [ INFO] [1752663887.657142563]: Requesting the map... [ INFO] [1752663889.166172394]: Resizing costmap to 113 X 155 at 0.050000 m/pix [ INFO] [1752663889.265445621]: Received a 113 X 155 map at 0.050000 m/pix [ INFO] [1752663889.280243055]: global_costmap: Using plugin "obstacle_layer" [ INFO] [1752663889.298549771]: Subscribed to Topics: [ INFO] [1752663889.349325212]: global_costmap: Using plugin "inflation_layer" [ WARN] [1752663889.545199085]: local_costmap: Pre-Hydro parameter "static_map" unused since "plugins" is provided [ WARN] [1752663889.547135725]: local_costmap: Pre-Hydro parameter "map_type" unused since "plugins" is provided [ INFO] [1752663889.551484224]: local_costmap: Using plugin "static_layer" [ INFO] [1752663889.571839522]: Requesting the map... [ INFO] [1752663889.577998384]: Resizing static layer to 113 X 155 at 0.050000 m/pix [ INFO] [1752663889.677619257]: Received a 113 X 155 map at 0.050000 m/pix [ INFO] [1752663889.693015967]: local_costmap: Using plugin "obstacle_layer" [ INFO] [1752663889.706179575]: Subscribed to Topics: [ INFO] [1752663889.742291675]: local_costmap: Using plugin "inflation_layer" [ INFO] [1752663889.976098453]: Created local_planner teb_local_planner/TebLocalPlannerROS [ INFO] [1752663890.170609667]: Footprint model 'line' (line_start: [-0.1,0]m, line_end: [0.1,0]m) loaded for trajectory optimization. [ INFO] [1752663890.172065624]: Parallel planning in distinctive topologies disabled. [ INFO] [1752663890.172326715]: No costmap conversion plugin specified. All occupied costmap cells are treaten as point obstacles. [ INFO] [1752663891.088227612]: Recovery behavior will clear layer 'obstacles' [ INFO] [1752663891.107617471]: Recovery behavior will clear layer 'obstacles' [ INFO] [1752663891.666258229]: odom received!

filetype

# 问题--设置代码补全 * `Continue - open-source AI code assistant`插件怎么添加代码补全功能呢? * 使用的是购买的deepseek api。 * 面板上有这些选项,第一个`settings`: ```text Settings Indexing③ Help4 Shortcuts User settings Show Session Tabs Wrap Codeblocks Show Chat Scrollbar Text-to-Speech Output Enable Session Titles Format Markdown Allow Anonymous Telemetry Enable Indexing Font Size14 Multiline AutocompletionsAuto Autocomplete Timeout (ms)150 Autocomplete Debounce (ms)250 Disable autocomplete in files Comma-separated list of path matchers Experimental Settings Auto-Accept Agent Edits Add Current File by Default Enable experimental tools @Codebase: use tool calling only ``` * `indexing`: ```text @codebase index Local embeddings of your codebase Indexing complete Click to re-index ``` * `help`: ```text Help center Continue Hub Visit hub.continue.dev to explore custom assistants and blocks Documentation Learn how to configure and use Continue Have an issue? Let us know on GitHub and we'll do our5 best to resolve it Join the community! Join us on Discord to stay up-to-date on the latest developments Token usage Daily token usage across models国 Quickstart Reopen the quickstart and tutorial file ``` * `shortcuts`: ```text Keyboard shortcuts Toggle Selected Model:Ctrl+ Edit highlighted code:Ctrl + I New Chat / New Chat With Selected Code / Close Continue Sidebar IfCtrl+L Chat Already In Focus: Cancel response:Ctrl + Backspace β Toggle inline edit focus:Ctrl+Shiftt+I Focus Current Chat / Add Selected Code To Current Chat / Close ContinueCtrl + Shift +L Sidebar If Chat Already In Focus: Debug Terminal:Ctrl+ Shift + R Reject Diff:Ctrl+Shift+Backspace β Accept Diff:Ctrl + Shift+Enter Reject Top Change in Diff:Alt + Ctrl + N Accept Top Change in Diff:Alt + Ctrl +Y Toggle Autocomplete Enabled:Ctrl + K + Ctrl + A Force an Autocomplete Trigger:Ctrlj+ Alt + Space Toggle Full Screen:Ctrl + K + Ctrl + M ``` # 问题 * `ctrl + shift + p`后,搜索`Continue: Edit Config File`,发现没有对应内容: ```text Continue Console:焦点在 Continue Console 视图上 Continue Console: Focus on Continue Console View Continue:焦点在 Continue 视图上 Continue: Focus on Continue View Continue: Continue: Force Next Edit 聊天:打开聊天(Edit) Chat: Open Chat (Edit) ``` * 在扩展里面找到`continue`插件,点击设置,有这些按钮: ```text Continue: Disable Quick Fix Disable the quick fix feature. Continue: Enable Console Enable a console to log and explore model inputs and outputs.It can be found in the bottom panel. Continue: Enable Quick Actions Enable the experimental Quick Actions feature. Read our walkthrough to learn about configuration and how to share feedback: continue.dev > Walkthrough: Quick Actions (experimental) Continue: Enable Tab Autocomplete \ Enable Continue's tab autocomplete feature. Read our walkthrough to learn about configuration and how to share feedback: continue.dev > Walkthrough: Tab Autocomplete (beta) Continue: Pause Codebase Index On Start Pause Continue's codebase index on start. Continue: Pause Tab Autocomplete On Battery Pause Continue's tab autocomplete feature when your battery is low. Continue: Remote Config Server Url If your team is set up to use shared configuration, enter the server URL here and your user token below to enable automatic syncing. Continue: Remote Config Sync Period The period of time in minutes between automatic syncs. 60 Continue: Show Inline Tip Show inline suggestion to use the Continue keyboard shortcuts (e.g."Cmd/Ctrl L to select code, Cmd/trl I to edit"). Continue: Telemetry Enabled Continue collects anonymous usage data, cleaned of Pll to help us improve the product for our users. Read more at continue.dev> Telemetry. Continue: User Token If your team is set up to use shared configuration, enter your user token here and your server URL above to enable automatic syncing. ```

filetype

【输入目标进程PID】 17963 【已附加线程】tid=17973 【已附加线程】tid=17974 【已附加线程】tid=17975 【已附加线程】tid=17976 【已附加线程】tid=17977 【已附加线程】tid=17978 【已附加线程】tid=17979 【已附加线程】tid=17980 【已附加线程】tid=17981 【已附加线程】tid=17988 【已附加线程】tid=17989 【已附加线程】tid=17990 【已附加线程】tid=17992 【已附加线程】tid=18000 【已附加线程】tid=18001 【已附加线程】tid=18006 【已附加线程】tid=18017 【已附加线程】tid=18021 【已附加线程】tid=18022 【已附加线程】tid=18023 【已附加线程】tid=18053 【已附加线程】tid=18054 【已附加线程】tid=18061 【已附加线程】tid=18073 【已附加线程】tid=18094 【已附加线程】tid=18095 【已附加线程】tid=18096 【已附加线程】tid=18097 【已附加线程】tid=18101 【已附加线程】tid=18107 【已附加线程】tid=18109 【已附加线程】tid=18112 【已附加线程】tid=18113 【已附加线程】tid=18117 【已附加线程】tid=18118 【已附加线程】tid=18119 【已附加线程】tid=18120 【已附加线程】tid=18121 【已附加线程】tid=18123 【已附加线程】tid=18130 【已附加线程】tid=18132 【已附加线程】tid=18140 【已附加线程】tid=18153 【已附加线程】tid=18159 【已附加线程】tid=18165 【已附加线程】tid=18175 【已附加线程】tid=18177 【已附加线程】tid=18178 【已附加线程】tid=18185 【已附加线程】tid=18187 【已附加线程】tid=18188 【已附加线程】tid=18192 【已附加线程】tid=18193 【已附加线程】tid=18195 【已附加线程】tid=18241 【已附加线程】tid=18248 【已附加线程】tid=18249 【已附加线程】tid=18250 【已附加线程】tid=18253 【已附加线程】tid=18254 【已附加线程】tid=18256 【已附加线程】tid=18257 【已附加线程】tid=18258 【输入断点地址(十六进制)】 0x769593D5C8 【选择断点类型(0:执行,1:读,2:写,3:读写)】 1 【选择断点权限(0:用户空间,1:内核空间)】 0 【处理线程】tid=17963 PTRACE_SETREGSET失败: Invalid argument 【警告】线程17963断点设置失败 【处理线程】tid=17973 PTRACE_SETREGSET失败: Invalid argument 【警告】线程17973断点设置失败 【处理线程】tid=17974 PTRACE_SETREGSET失败: Invalid argument 【警告】线程17974断点设置失败 【处理线程】tid=17975 PTRACE_SETREGSET失败: Invalid argument 【警告】线程17975断点设置失败 【处理线程】tid=17976 PTRACE_SETREGSET失败: Invalid argument 【警告】线程17976断点设置失败 【处理线程】tid=17977 PTRACE_SETREGSET失败: Invalid argument 【警告】线程17977断点设置失败 【处理线程】tid=17978 PTRACE_SETREGSET失败: Invalid argument 【警告】线程17978断点设置失败 【处理线程】tid=17979 PTRACE_SETREGSET失败: Invalid argument 【警告】线程17979断点设置失败 【处理线程】tid=17980 PTRACE_SETREGSET失败: Invalid argument 【警告】线程17980断点设置失败 【处理线程】tid=17981 PTRACE_SETREGSET失败: Invalid argument 【警告】线程17981断点设置失败 【处理线程】tid=17988 PTRACE_SETREGSET失败: Invalid argument 【警告】线程17988断点设置失败 【处理线程】tid=17989 PTRACE_SETREGSET失败: Invalid argument 【警告】线程17989断点设置失败 【处理线程】tid=17990 PTRACE_SETREGSET失败: Invalid argument 【警告】线程17990断点设置失败 【处理线程】tid=17992 PTRACE_SETREGSET失败: Invalid argument 【警告】线程17992断点设置失败 【处理线程】tid=18000 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18000断点设置失败 【处理线程】tid=18001 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18001断点设置失败 【处理线程】tid=18006 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18006断点设置失败 【处理线程】tid=18017 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18017断点设置失败 【处理线程】tid=18021 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18021断点设置失败 【处理线程】tid=18022 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18022断点设置失败 【处理线程】tid=18023 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18023断点设置失败 【处理线程】tid=18053 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18053断点设置失败 【处理线程】tid=18054 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18054断点设置失败 【处理线程】tid=18061 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18061断点设置失败 【处理线程】tid=18073 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18073断点设置失败 【处理线程】tid=18094 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18094断点设置失败 【处理线程】tid=18095 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18095断点设置失败 【处理线程】tid=18096 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18096断点设置失败 【处理线程】tid=18097 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18097断点设置失败 【处理线程】tid=18101 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18101断点设置失败 【处理线程】tid=18107 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18107断点设置失败 【处理线程】tid=18109 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18109断点设置失败 【处理线程】tid=18112 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18112断点设置失败 【处理线程】tid=18113 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18113断点设置失败 【处理线程】tid=18117 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18117断点设置失败 【处理线程】tid=18118 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18118断点设置失败 【处理线程】tid=18119 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18119断点设置失败 【处理线程】tid=18120 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18120断点设置失败 【处理线程】tid=18121 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18121断点设置失败 【处理线程】tid=18123 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18123断点设置失败 【处理线程】tid=18130 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18130断点设置失败 【处理线程】tid=18132 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18132断点设置失败 【处理线程】tid=18140 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18140断点设置失败 【处理线程】tid=18153 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18153断点设置失败 【处理线程】tid=18159 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18159断点设置失败 【处理线程】tid=18165 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18165断点设置失败 【处理线程】tid=18175 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18175断点设置失败 【处理线程】tid=18177 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18177断点设置失败 【处理线程】tid=18178 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18178断点设置失败 【处理线程】tid=18185 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18185断点设置失败 【处理线程】tid=18187 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18187断点设置失败 【处理线程】tid=18188 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18188断点设置失败 【处理线程】tid=18192 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18192断点设置失败 【处理线程】tid=18193 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18193断点设置失败 【处理线程】tid=18195 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18195断点设置失败 【处理线程】tid=18241 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18241断点设置失败 【处理线程】tid=18248 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18248断点设置失败 【处理线程】tid=18249 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18249断点设置失败 【处理线程】tid=18250 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18250断点设置失败 【处理线程】tid=18253 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18253断点设置失败 【处理线程】tid=18254 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18254断点设置失败 【处理线程】tid=18256 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18256断点设置失败 【处理线程】tid=18257 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18257断点设置失败 【处理线程】tid=18258 PTRACE_SETREGSET失败: Invalid argument 【警告】线程18258断点设置失败 【恢复进程执行...】 【等待断点触发...】 【未检测到断点命中,恢复进程执行...】 【清理断点...】 【错误】获取调试寄存器失败: No such process 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【错误】清除断点失败: No space left on device 【分离调试会话...】 [进程已结束 - 按回车关闭] 帮我检查修复好ARM64硬件断点代码后完整发给我

filetype

import time import os import re from watchdog.observers import Observer from watchdog.events import FileSystemEventHandler import openpyxl from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC class ExcelFileHandler(FileSystemEventHandler): def __init__(self, upload_function): self.upload_function = upload_function self.last_processed = {} # 存储文件最后处理时间 {文件路径: 时间戳} self.temp_file_pattern = re.compile(r'^~\$.*\.xlsx$') # 匹配临时文件 def is_valid_excel(self, path): """检查是否为有效的Excel文件""" return ( path.lower().endswith('.xlsx') and # 扩展名检查 not self.temp_file_pattern.match(os.path.basename(path)) and # 排除临时文件 os.path.getsize(path) > 1024 # 文件大小检查(>1KB) ) def on_modified(self, event): if not event.is_directory: file_path = event.src_path current_time = time.time() # 防抖机制:5秒内不重复处理同一文件 if (self.is_valid_excel(file_path) and (file_path not in self.last_processed or current_time - self.last_processed[file_path] > 5)): print(f"📊 检测到Excel文件修改: {os.path.basename(file_path)}") self.last_processed[file_path] = current_time self.upload_function(file_path) def read_excel(file_path): try: workbook = openpyxl.load_workbook(file_path) sheet = workbook.active data = [] for row in sheet.iter_rows(min_row=2, values_only=True): if row[0] is not None: data.append((row[0], row[1])) workbook.close() print(f"✅ 成功读取 {len(data)} 条数据") return data except Exception as e: print(f"❌ 读取Excel文件时出错: {e}") return None def upload_data(file_path): try: print(f"⬆️ 开始上传文件: {os.path.basename(file_path)}") driver = webdriver.Chrome() driver.get("https://snic.gtsdata.huawei.com/datalinkpro/web/#/form/dataPlanned?spaceId=Dlink_3640041&appId=643099041&operateType=2") # 登录过程 wait = WebDriverWait(driver, 15) username_input = wait.until(EC.presence_of_element_located((By.ID, "username"))) password_input = driver.find_element(By.ID, "password") username_input.send_keys("your_username") password_input.send_keys("your_password") login_button = driver.find_element(By.ID, "login-button") login_button.click() # 等待上传表单加载 wait.until(EC.presence_of_element_located((By.ID, "upload-form"))) # 读取并上传数据 data = read_excel(file_path) if not data: print("⚠️ 无有效数据,跳过上传") return for idx, item in enumerate(data, 1): field1 = driver.find_element(By.ID, "field1") field2 = driver.find_element(By.ID, "field2") submit_button = driver.find_element(By.ID, "submit-button") field1.clear() field2.clear() field1.send_keys(str(item[0])) field2.send_keys(str(item[1])) submit_button.click() # 等待提交完成 wait.until(EC.staleness_of(submit_button)) print(f"↗️ 已上传记录 {idx}/{len(data)}") print(f"✅ 文件 {os.path.basename(file_path)} 上传完成") except Exception as e: print(f"❌ 上传过程中出错: {e}") finally: if 'driver' in locals(): driver.quit() def setup_file_monitor(folder_path, upload_function): event_handler = ExcelFileHandler(upload_function) observer = Observer() observer.schedule(event_handler, path=folder_path, recursive=False) observer.start() print(f"👁️ 开始监控文件夹: {folder_path}") print("🛑 按 Ctrl+C 停止监控") try: while True: time.sleep(1) except KeyboardInterrupt: observer.stop() observer.join() if __name__ == "__main__": folder_path = r"D:\work_project\import_data" # 监控的文件夹路径 setup_file_monitor(folder_path, upload_data) 请你设置为有头模式现在需要先调试在改为无头模式

filetype

#include <QApplication> // 替换QCoreApplication为QApplication,适用于GUI应用 #include <QImageReader> #include <QImage> #include <QPixmap> #include <QFileDialog> #include <QDebug> #include <QDir> #include <QLabel> #include <QFont> #include <QDateTime> #include <QMessageBox> #include <QMouseEvent> #include <QWheelEvent> #include "CCD1.h" #include <opencv2/opencv.hpp> // 明确包含OpenCV头文件 #include <zbar.h> // 明确包含ZBar头文件 #include <QMenu> #include <QContextMenuEvent> #include <QStyleOption> #include <QPainter> #include <QKeyEvent> using namespace std; // 声明类成员变量,补充缺失的成员 CCD1::CCD1(QWidget* parent) : QMainWindow(parent) , isCameraOpen(false) , isImageDisplayed(false) , isDragging(false) , pixmapScale(1.0) , lastMousePos(0, 0) , m_Pressed(false) , m_ZoomValue(1.0) , m_XPtInterval(0) , m_YPtInterval(0) { ui.setupUi(this); initCodeInfoTreeWidget(); // Configure single display label setupLabelProperties(ui.CameraLabel, &pixmapScale, &lastMousePos, &isDragging); // Initialize timer and signal connections timer = new QTimer(this); connect(timer, &QTimer::timeout, this, &CCD1::updateFrame); connect(ui.CleanImage, &QPushButton::clicked, this, &CCD1::onCleanImage); connect(ui.AnalyzeImage, &QPushButton::clicked, this, &CCD1::onAnalyzeImage); connect(ui.OpenCamera, &QPushButton::clicked, this, &CCD1::onOpenCamera); connect(ui.actionOpen_Camera, &QAction::triggered, this, &CCD1::onOpenCamera); connect(ui.CloseCamera, &QPushButton::clicked, this, &CCD1::onCloseCamera); connect(ui.actionClose_Camera, &QAction::triggered, this, &CCD1::onCloseCamera); connect(ui.actionLoading_Image, &QAction::triggered, this, &CCD1::onLoadingImage); connect(ui.actionSave_Image, &QAction::triggered, this, &CCD1::onSaveImage); connect(ui.SaveImage, &QPushButton::clicked, this, &CCD1::onSaveImage); connect(ui.actionExit, &QAction::triggered, this, &CCD1::onExit); connect(ui.CaptureImage, &QPushButton::clicked, this, &CCD1::onCaptureImage); } // Initialize label properties void CCD1::setupLabelProperties(QLabel* label, double* scale, QPoint* lastMousePos, bool* isDragging) { label->setScaledContents(false); label->setAlignment(Qt::AlignCenter); label->setStyleSheet("background-color: black;"); label->setMouseTracking(true); label->setAttribute(Qt::WA_AcceptTouchEvents, true); } void CCD1::SetPic(QImage Image) { m_Image = Image; } CCD1::~CCD1() { onCloseCamera(); // 调用关闭相机方法释放资源 if (timer) { timer->stop(); delete timer; } } void CCD1::onOpenCamera() { if (!isCameraOpen && (!isImageDisplayed || ui.CameraLabel->pixmap().isNull())) { // Try to open camera (default index 0) if (cap.open(0)) { timer->start(30); // Start timer, refresh every 30ms isCameraOpen = true; ui.OpenCamera->setEnabled(false); ui.CloseCamera->setEnabled(true); ui.CaptureImage->setEnabled(true); ui.CleanImage->setEnabled(true); ui.AnalyzeImage->setEnabled(true); qDebug() << "Camera opened successfully"; } else { // Try backup camera index 1 if (cap.open(1)) { timer->start(30); isCameraOpen = true; ui.OpenCamera->setEnabled(false); ui.CloseCamera->setEnabled(true); ui.CaptureImage->setEnabled(true); ui.CleanImage->setEnabled(true); ui.AnalyzeImage->setEnabled(true); qDebug() << "Camera index 1 opened successfully"; } else { qDebug() << "Failed to open any camera!"; QMessageBox::warning(this, "Error", "Failed to open camera. Check device connection."); } } } else if (isImageDisplayed) { QMessageBox::warning(this, "Warning", "Please clear the current image first."); } } void CCD1::initCodeInfoTreeWidget() { // Set tree widget columns and headers ui.Codeinformation->setColumnCount(2); QStringList headers; headers << "NO." << "Code Information"; ui.Codeinformation->setHeaderLabels(headers); ui.Codeinformation->setColumnWidth(0, 50); ui.Codeinformation->setColumnWidth(1, 200); } void CCD1::onCloseCamera() { if (isCameraOpen) { cap.release(); timer->stop(); isCameraOpen = false; ui.OpenCamera->setEnabled(true); ui.CloseCamera->setEnabled(false); ui.CaptureImage->setEnabled(false); ui.CameraLabel->clear(); currentImage.release(); isImageDisplayed = false; pixmapScale = 1.0; qDebug() << "Camera closed"; } } void CCD1::onCaptureImage() { if (!isCameraOpen || !cap.isOpened()) { QMessageBox::warning(this, "Warning", "Please open the camera first!"); return; } cv::Mat frame; if (cap.read(frame)) { // Save original frame for barcode recognition cv::Mat originalFrame = frame.clone(); // Recognize barcodes auto [barcodeResults, barcodeLocations] = recognizeBarcodes(originalFrame); // Overlay barcode results on the frame overlayBarcodeResults(frame, barcodeResults, barcodeLocations); // Save captured image currentImage = frame.clone(); // Convert color space cv::cvtColor(frame, frame, cv::COLOR_BGR2RGB); // 确保QImage有自己的数据副本,避免数据被释放 QImage image(frame.data, frame.cols, frame.rows, frame.step, QImage::Format_RGB888); image = image.copy(); // 创建深拷贝 // 调整图像大小以适应标签(可选) QPixmap pixmap = QPixmap::fromImage(image); if (pixmap.width() > ui.CameraLabel->width() || pixmap.height() > ui.CameraLabel->height()) { pixmap = pixmap.scaled(ui.CameraLabel->size(), Qt::KeepAspectRatio, Qt::SmoothTransformation); } // 显示图像 ui.CameraLabel->setPixmap(pixmap); pixmapScale = 1.0; // Reset zoom scale isImageDisplayed = true; // Mark image as displayed // 强制更新UI ui.CameraLabel->update(); // Update code labels updateCodeLabels(barcodeResults); // 释放相机资源并关闭相机 if (isCameraOpen) { cap.release(); timer->stop(); isCameraOpen = false; ui.OpenCamera->setEnabled(true); ui.CloseCamera->setEnabled(false); ui.CaptureImage->setEnabled(false); qDebug() << "Camera closed after image capture"; } qDebug() << "Image captured successfully, size:" << frame.cols << "x" << frame.rows; } else { QMessageBox::warning(this, "Capture Failed", "Failed to read frame from camera!"); } } void CCD1::onSaveImage() { // Get image to save QPixmap pixmap = ui.CameraLabel->pixmap(); if (pixmap.isNull()) { QMessageBox::warning(this, "Warning", "No image to save!"); return; } // Generate default filename with timestamp QString timestamp = QDateTime::currentDateTime().toString("yyyyMMdd_HHmmss"); QString defaultFileName = "image_" + timestamp + ".jpg"; // Define cross-platform path QString defaultPath = QDir::homePath() + QDir::separator() + defaultFileName; // Define file format filters QString filter = tr("JPEG Image (*.jpg);;PNG Image (*.png);;BMP Image (*.bmp)"); QString selectedFilter; QString filePath = QFileDialog::getSaveFileName( this, tr("Save Image"), defaultPath, filter, &selectedFilter ); if (filePath.isEmpty()) { return; } // Determine file format QString fileExt = QFileInfo(filePath).suffix().toLower(); const char* fileFormat = nullptr; if (fileExt == "jpg" || fileExt == "jpeg") { fileFormat = "JPEG"; } else if (fileExt == "png") { fileFormat = "PNG"; } else if (fileExt == "bmp") { fileFormat = "BMP"; } else { // Select default format based on filter if (selectedFilter.contains("JPEG")) { filePath += ".jpg"; fileFormat = "JPEG"; } else if (selectedFilter.contains("PNG")) { filePath += ".png"; fileFormat = "PNG"; } else { filePath += ".jpg"; fileFormat = "JPEG"; } } // Save image if (pixmap.save(filePath, fileFormat)) { qDebug() << "Image saved to:" << filePath; QMessageBox::information(this, "Save Successful", "Image saved successfully!"); } else { QMessageBox::warning(this, "Save Failed", "Failed to save image. Check file permissions."); qDebug() << "Save error at:" << filePath; } } // Clear image void CCD1::onCleanImage() { ui.CameraLabel->clear(); currentImage.release(); isImageDisplayed = false; pixmapScale = 1.0; // Clear label contents for (int i = 1; i <= 8; i++) { QLabel* label = findChild<QLabel*>(QString("Codelabel%1").arg(i)); if (label) label->setText(""); } // Clear tree widget ui.Codeinformation->clear(); qDebug() << "Image cleared"; } // Analyze barcodes in the image void CCD1::onAnalyzeImage() { // Get image to analyze QPixmap pixmap = ui.CameraLabel->pixmap(); if (pixmap.isNull()) { QMessageBox::warning(this, "Warning", "No image to analyze!"); return; } // Convert to QImage QImage qImage = pixmap.toImage(); if (qImage.isNull()) { QMessageBox::warning(this, "Warning", "Image conversion failed!"); return; } // Convert to OpenCV Mat cv::Mat image = qImageToMat(qImage); // Check image validity if (image.empty()) { QMessageBox::warning(this, "Analysis Failed", "Invalid image data"); return; } // Recognize barcodes auto [barcodeResults, barcodeLocations] = recognizeBarcodes(image); // Clear previous tree widget items ui.Codeinformation->clear(); // Display analysis results in tree widget for (int i = 0; i < barcodeResults.size(); i++) { QTreeWidgetItem* item = new QTreeWidgetItem(ui.Codeinformation); item->setText(0, QString::number(i + 1)); item->setText(1, barcodeResults[i]); } // Overlay barcode results on the image overlayBarcodeResults(image, barcodeResults, barcodeLocations); // Convert back to RGB for display cv::cvtColor(image, image, cv::COLOR_BGR2RGB); QImage resultImage(image.data, image.cols, image.rows, image.step, QImage::Format_RGB888); // Display analyzed image QPixmap resultPixmap = QPixmap::fromImage(resultImage); ui.CameraLabel->setPixmap(resultPixmap); pixmapScale = 1.0; // Reset zoom scale // Update code labels updateCodeLabels(barcodeResults); // Show analysis results if (barcodeResults.isEmpty()) { QMessageBox::information(this, "Analysis Results", "No barcodes found"); } else { QString resultText = "Found " + QString::number(barcodeResults.size()) + " barcodes:\n"; for (int i = 0; i < barcodeResults.size(); i++) { resultText += QString("%1. %2\n").arg(i + 1).arg(barcodeResults[i]); } QMessageBox::information(this, "Analysis Results", resultText); } } // Recognize barcodes, return results and locations std::pair<QVector<QString>, QVector<std::vector<cv::Point>>> CCD1::recognizeBarcodes(const cv::Mat& image) { QVector<QString> results; QVector<std::vector<cv::Point>> locations; try { // Convert to grayscale cv::Mat grayImage; if (image.channels() == 3) { cv::cvtColor(image, grayImage, cv::COLOR_BGR2GRAY); } else { grayImage = image.clone(); } // Create ZBar scanner zbar::ImageScanner scanner; // Configure scanner scanner.set_config(zbar::ZBAR_NONE, zbar::ZBAR_CFG_ENABLE, 0); // Disable all types // Enable common barcode types scanner.set_config(zbar::ZBAR_QRCODE, zbar::ZBAR_CFG_ENABLE, 1); scanner.set_config(zbar::ZBAR_CODE128, zbar::ZBAR_CFG_ENABLE, 1); scanner.set_config(zbar::ZBAR_EAN13, zbar::ZBAR_CFG_ENABLE, 1); scanner.set_config(zbar::ZBAR_CODE39, zbar::ZBAR_CFG_ENABLE, 1); scanner.set_config(zbar::ZBAR_UPCA, zbar::ZBAR_CFG_ENABLE, 1); scanner.set_config(zbar::ZBAR_I25, zbar::ZBAR_CFG_ENABLE, 1); // Prepare image for ZBar zbar::Image zbarImage(grayImage.cols, grayImage.rows, "Y800", grayImage.data, grayImage.cols * grayImage.rows); int result = scanner.scan(zbarImage); if (result > 0) { // Iterate through barcodes for (zbar::Image::SymbolIterator symbol = zbarImage.symbol_begin(); symbol != zbarImage.symbol_end(); ++symbol) { // Get barcode data QString data = QString::fromStdString(symbol->get_data()); results.append(data); // Get barcode locations std::vector<cv::Point> points; for (int i = 0; i < symbol->get_location_size(); ++i) { points.push_back(cv::Point(symbol->get_location_x(i), symbol->get_location_y(i))); } locations.append(points); } } } catch (const std::exception& e) { qDebug() << "Barcode recognition error:" << QString::fromStdString(e.what()); } return { results, locations }; } // Overlay barcode results and bounding boxes void CCD1::overlayBarcodeResults(cv::Mat& frame, const QVector<QString>& results, const QVector<std::vector<cv::Point>>& locations) { // Draw bounding boxes and labels for (int i = 0; i < results.size(); ++i) { const QString& result = results[i]; if (!result.isEmpty()) { // Draw bounding box if (i < locations.size() && locations[i].size() >= 4) { cv::line(frame, locations[i][0], locations[i][1], cv::Scalar(0, 255, 0), 2); cv::line(frame, locations[i][1], locations[i][2], cv::Scalar(0, 255, 0), 2); cv::line(frame, locations[i][2], locations[i][3], cv::Scalar(0, 255, 0), 2); cv::line(frame, locations[i][3], locations[i][0], cv::Scalar(0, 255, 0), 2); // Label with index cv::putText(frame, QString::number(i + 1).toStdString(), locations[i][0], cv::FONT_HERSHEY_SIMPLEX, 0.7, cv::Scalar(0, 0, 255), 2); } // Display barcode content at the top int fontFace = cv::FONT_HERSHEY_SIMPLEX; double fontScale = 0.7; int thickness = 2; int baseline = 0; cv::Size textSize = cv::getTextSize(result.toStdString(), fontFace, fontScale, thickness, &baseline); cv::Point textOrg(10, 30 + i * (textSize.height + 15)); // Add background for text cv::rectangle(frame, textOrg + cv::Point(0, baseline), textOrg + cv::Point(textSize.width, -textSize.height), cv::Scalar(0, 0, 0), cv::FILLED); // Add text cv::putText(frame, result.toStdString(), textOrg, fontFace, fontScale, cv::Scalar(255, 255, 255), thickness); } } } // Update frame and recognize barcodes void CCD1::updateFrame() { cv::Mat frame; // Read a frame from the camera if (cap.read(frame)) { // Save the original frame for barcode recognition cv::Mat originalFrame = frame.clone(); // Recognize barcodes and get their locations auto [barcodeResults, barcodeLocations] = recognizeBarcodes(originalFrame); // Overlay barcode results on the frame overlayBarcodeResults(frame, barcodeResults, barcodeLocations); // Convert color space from BGR to RGB cv::cvtColor(frame, frame, cv::COLOR_BGR2RGB); // Convert to Qt's QImage for display QImage image(frame.data, frame.cols, frame.rows, frame.step, QImage::Format_RGB888); // Display the image on the label ui.CameraLabel->setPixmap(QPixmap::fromImage(image)); pixmapScale = 1.0; // Reset zoom for live view isImageDisplayed = true; // Update code labels updateCodeLabels(barcodeResults); } else { qDebug() << "Failed to read frame from camera"; } } // Load an image and recognize barcodes void CCD1::onLoadingImage() { // Close the camera if it's open if (isCameraOpen) { onCloseCamera(); } // Open file dialog QString filePath = QFileDialog::getOpenFileName( this, tr("Select Image"), QDir::homePath(), tr("Image Files (*.jpg *.jpeg *.png *.bmp);;All Files (*)") ); if (filePath.isEmpty()) { return; } // Read the image using OpenCV (auto-detect format) cv::Mat image = cv::imread(filePath.toStdString(), cv::IMREAD_COLOR); if (image.empty()) { // Try loading with Qt to get more detailed error information QImage qImage(filePath); if (qImage.isNull()) { QMessageBox::warning(this, "Load Failed", "Unrecognized image format"); qDebug() << "Failed to load image:" << filePath; return; } // Convert QImage to Mat image = cv::Mat(qImage.height(), qImage.width(), qImage.format() == QImage::Format_RGB888 ? CV_8UC3 : CV_8UC4, qImage.bits(), qImage.bytesPerLine()); if (qImage.format() == QImage::Format_RGB888) { cv::cvtColor(image, image, cv::COLOR_RGB2BGR); } else { cv::cvtColor(image, image, cv::COLOR_RGBA2BGR); } } // Save the loaded image currentImage = image.clone(); // Recognize barcodes and display results auto [barcodeResults, barcodeLocations] = recognizeBarcodes(image); overlayBarcodeResults(image, barcodeResults, barcodeLocations); // Convert to RGB and display on CameraLabel cv::cvtColor(image, image, cv::COLOR_BGR2RGB); QImage qImage(image.data, image.cols, image.rows, image.step, QImage::Format_RGB888); ui.CameraLabel->setPixmap(QPixmap::fromImage(qImage)); ui.CameraLabel->setScaledContents(false); // Disable auto-scaling isImageDisplayed = true; pixmapScale = 1.0; // Reset zoom scale // Update code labels updateCodeLabels(barcodeResults); qDebug() << "Image loaded successfully:" << filePath; } void CCD1::updateCodeLabels(const QVector<QString>& results) { for (int i = 0; i < 8; i++) { QLabel* label = findChild<QLabel*>(QString("Codelabel%1").arg(i + 1)); if (label) { label->setText(i < results.size() ? QString("%1. %2").arg(i + 1).arg(results[i]) : ""); } } } // Safely convert QImage to cv::Mat cv::Mat CCD1::qImageToMat(const QImage& qImage) { cv::Mat mat; switch (qImage.format()) { case QImage::Format_ARGB32: case QImage::Format_ARGB32_Premultiplied: mat = cv::Mat(qImage.height(), qImage.width(), CV_8UC4, (uchar*)qImage.bits(), qImage.bytesPerLine()); cv::cvtColor(mat, mat, cv::COLOR_RGBA2BGR); break; case QImage::Format_RGB32: mat = cv::Mat(qImage.height(), qImage.width(), CV_8UC4, (uchar*)qImage.bits(), qImage.bytesPerLine()); cv::cvtColor(mat, mat, cv::COLOR_RGBA2BGR); break; case QImage::Format_RGB888: mat = cv::Mat(qImage.height(), qImage.width(), CV_8UC3, (uchar*)qImage.bits(), qImage.bytesPerLine()); cv::cvtColor(mat, mat, cv::COLOR_RGB2BGR); break; default: QImage temp = qImage.convertToFormat(QImage::Format_RGB888); mat = cv::Mat(temp.height(), temp.width(), CV_8UC3, (uchar*)temp.bits(), temp.bytesPerLine()); cv::cvtColor(mat, mat, cv::COLOR_RGB2BGR); break; } return mat; } void CCD1::onExit() { qDebug() << "Exiting"; onCloseCamera(); // Close camera before exiting qApp->quit(); } // Mouse press event handler - for image dragging void CCD1::mousePressEvent(QMouseEvent* event) { if (ui.CameraLabel->rect().contains(event->pos()) && isImageDisplayed) { lastMousePos = event->pos(); isDragging = true; event->accept(); } else { QMainWindow::mousePressEvent(event); } } // Context menu event handler void CCD1::contextMenuEvent(QContextMenuEvent* event) { QPoint pos = event->pos(); pos = this->mapToGlobal(pos); QMenu* menu = new QMenu(this); QAction* loadImage = new QAction(tr("Load Image")); connect(loadImage, &QAction::triggered, this, &CCD1::onLoadingImage); menu->addAction(loadImage); QAction* zoomInAction = new QAction(tr("Zoom In")); connect(zoomInAction, &QAction::triggered, this, &CCD1::onZoomInImage); menu->addAction(zoomInAction); QAction* zoomOutAction = new QAction(tr("Zoom Out")); connect(zoomOutAction, &QAction::triggered, this, &CCD1::onZoomOutImage); menu->addAction(zoomOutAction); QAction* presetAction = new QAction(tr("Preset")); connect(presetAction, &QAction::triggered, this, &CCD1::onPresetImage); menu->addAction(presetAction); menu->exec(pos); } void CCD1::paintEvent(QPaintEvent* event) { // 设置一个画家painter, 在空白的tmpPixMap上进行绘制的 QPainter painter(this); QPixmap tmpPixMap(this->width(), this->height()); tmpPixMap.fill(Qt::transparent); painter.begin(&tmpPixMap); // 根据窗口计算应该显示的图片的大小 int width = qMin(m_Image.width(), this->width()); int height = width * 1.0 / (m_Image.width() * 1.0 / m_Image.height()); height = qMin(height, this->height()); width = height * 1.0 * (m_Image.width() * 1.0 / m_Image.height()); // 平移 painter.translate(this->width() / 2 + m_XPtInterval, this->height() / 2 + m_YPtInterval); // 缩放 painter.scale(m_ZoomValue, m_ZoomValue); // 绘制图像 QRect picRect(-width / 2, -height / 2, width, height); painter.drawImage(picRect, m_Image); painter.end(); m_bTempPixmap = tmpPixMap; } void CCD1::wheelEvent(QWheelEvent* event) { // 使用 angleDelta().y() 获取滚轮滚动值,正数向前滚,负数向后滚 int value = event->angleDelta().y(); if (value > 0) { onZoomInImage(); } else { onZoomOutImage(); } this->update(); } void CCD1::mouseMoveEvent(QMouseEvent* event) { if (m_Pressed) return QMainWindow::mouseMoveEvent(event); // 修正为调用QMainWindow的mouseMoveEvent this->setCursor(Qt::SizeAllCursor); QPoint pos = event->pos(); int xPtInterval = pos.x() - m_OldPos.x(); int yPtInterval = pos.y() - m_OldPos.y(); m_XPtInterval += xPtInterval; m_YPtInterval += yPtInterval; m_OldPos = pos; this->update(); } void CCD1::mouseReleaseEvent(QMouseEvent* event) { m_Pressed = false; this->setCursor(Qt::ArrowCursor); } // 实现缩放功能 void CCD1::onZoomInImage() { m_ZoomValue *= 1.2; this->update(); } void CCD1::onZoomOutImage() { if (m_ZoomValue > 0.5) { m_ZoomValue /= 1.2; this->update(); } } // 实现预设视图功能 void CCD1::onPresetImage() { m_ZoomValue = 1.0; m_XPtInterval = 0; m_YPtInterval = 0; this->update(); } //鼠标双击还原图片大小事件 void CCD1::mouseDoubleClickEvent(QMouseEvent* event) { onPresetImage(); } //键盘事件(按住ctrl 并滚动滚轮才可以放大或者缩小图片)

filetype

运行pygwalker出现以下问题,可能的原因有哪些? 启动PyGWalker交互式可视化界面... Run pygwalker at http://localhost:58141, close page or press Ctrl+C to end. error uploading: HTTPSConnectionPool(host='api.segment.io', port=443): Max retries exceeded with url: /v1/batch (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0x000001EAEF8409A0>: Failed to resolve 'api.segment.io' ([Errno 11001] getaddrinfo failed)")) error uploading: HTTPSConnectionPool(host='api.segment.io', port=443): Max retries exceeded with url: /v1/batch (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0x000001EAEF9BD5E0>: Failed to resolve 'api.segment.io' ([Errno 11001] getaddrinfo failed)")) Dictionary values must be serializeable to JSON "id" value E:\myproject\output\数据报告.html of type <class 'pathlib.WindowsPath'> is unsupported. 代码如下 # %% import pandas as pd import numpy as np from pathlib import Path import pygwalker as pyg # ================== 增强配置 ================== PROJECT_PATH = Path("E:/myproject") OUTPUT_PATH = PROJECT_PATH / "output" DATA_PATH = PROJECT_PATH / "data" # 数据文件列表 DATA_FILES = [ DATA_PATH / "压力.xyz", DATA_PATH / "气体速度I+.xyz", DATA_PATH / "累计气流动.xyz", DATA_PATH / "X方向渗透率.xyz", DATA_PATH / "孔隙体积_(地层条件).xyz" ] # 确保输出目录存在 OUTPUT_PATH.mkdir(parents=True, exist_ok=True) # ================== 使用 PyGWalker 的数据合并与可视化 ================== def merge_and_visualize_with_pygwalker(data_files, output_path): """ 使用 PyGWalker 合并数据并提供交互式可视化 参数: data_files: 包含文件路径的列表 output_path: 输出文件路径 """ # 初始化合并DataFrame merged_df = None for file_path in data_files: # 从文件名提取属性名 attribute_name = file_path.stem try: # 读取数据文件 df = pd.read_csv( file_path, delim_whitespace=True, header=None, names=['I', 'J', 'K', attribute_name] ) # 首次加载时创建基础DataFrame if merged_df is None: merged_df = df print(f"已加载基准文件: {file_path.name}") else: # 检查坐标一致性 if not (df[['I', 'J', 'K']].equals(merged_df[['I', 'J', 'K']])): print(f"警告: {file_path.name} 坐标不一致,尝试智能合并...") # 使用PyGWalker的智能合并功能 merged_df = pd.merge( merged_df, df, on=['I', 'J', 'K'], how='outer' ) else: # 直接添加属性列 merged_df[attribute_name] = df[attribute_name] print(f"已合并: {file_path.name} - 属性 '{attribute_name}'") except Exception as e: print(f"处理文件 {file_path.name} 时出错: {str(e)}") continue if merged_df is None: print("错误: 未能成功加载任何数据文件") return # 保存合并后的数据 excel_path = output_path / "合并数据1.xlsx" merged_df.to_excel(excel_path, index=False) print(f"\n合并完成! 输出文件: {excel_path}") # 使用PyGWalker进行交互式可视化 print("\n启动PyGWalker交互式可视化界面...") walker = pyg.walk( merged_df, spec="./gw_config.json", # 可选的配置文件 kernel_computation=True, # 使用内核计算提高性能 dark="light", # 界面主题: light/dark show_cloud_tool=False # 不显示云工具 ) # 保存可视化配置 #walker.save_chart_to_file(output_path / "3D_可视化.html", chart_name="chart_0") #print(f"已保存3D可视化: {output_path / '3D_可视化.html'}") # 生成数据报告 report_path = output_path / "数据报告.html" pyg.to_html(merged_df, report_path) print(f"已生成数据报告: {report_path}") return merged_df # ================== 执行合并与可视化 ================== if __name__ == "__main__": print("开始合并数据并使用PyGWalker可视化...\n") final_df = merge_and_visualize_with_pygwalker(DATA_FILES, OUTPUT_PATH) if final_df is not None: print("\n数据摘要:") print(final_df.describe())

filetype

/** Copyright © 2013-2021 DataYes, All Rights Reserved. */ /* eslint-disable */ const path = require('path'); const webpack = require('webpack'); const fs = require('fs'); const HtmlWebpackPlugin = require('html-webpack-plugin'); const ForkTSCheckerWebpackPlugin = require('fork-ts-checker-webpack-plugin'); const { TsConfigPathsPlugin } = require('awesome-typescript-loader'); const WebpackBar = require('webpackbar'); const CaseSensitive = require('case-sensitive-paths-webpack-plugin'); const withCI = require('@dyc/adam-apple-ci/with-ci'); const withModernBuildOrNot = require('./with-modern'); const FriendlyErrorsWebpackPlugin = require('friendly-errors-webpack-plugin'); const AntdDayjsWebpackPlugin = require('antd-dayjs-webpack-plugin'); const compose = (...args) => (result) => args.reduceRight((result, fn) => fn(result), result); const theme = require('./theme'); const withDll = (webpackConfig) => { const glob = require('globby'); const AddAssetHtmlPlugin = require('add-asset-html-webpack-plugin'); const manifestJson = path.join(process.cwd(), 'node_modules/vender-dll/manifest.json'); if (!fs.existsSync(manifestJson)) { throw new Error('没有找到 node_modules/vender-dll/manifest.json, 尝试npm run build:dll'); } const manifest = path.resolve(process.cwd(), './node_modules/vender-dll/*.dll.js'); webpackConfig.plugins.push( new webpack.DllReferencePlugin({ context: process.cwd(), manifest: require.resolve(path.join(process.cwd(), 'node_modules/vender-dll/manifest.json')), }) ); glob.sync(manifest).forEach((x, i) => { webpackConfig.plugins.push( new AddAssetHtmlPlugin({ filepath: x, includeSourcemap: false, }) ); }); return webpackConfig; }; const withDllOrNot = process.argv.includes('--no-dll') ? (i) => i : withDll; const withLazyBuild = (webpackConfig) => { const LazyCompilePlugin = require('lazy-compile-webpack-plugin'); webpackConfig.plugins.push(new LazyCompilePlugin()); return webpackConfig; }; const withLazyBuildOrNot = process.argv.includes('-l') ? withLazyBuild : (i) => i; module.exports = compose( withLazyBuildOrNot, withModernBuildOrNot({}), withDllOrNot, withCI )({ mode: 'development', devtool: 'eval-cheap-module-source-map', entry: path.join(process.cwd(), 'js/index'), output: { pathinfo: false, filename: 'static/js/[name].bundle.js', path: path.join(process.cwd(), 'build'), chunkFilename: 'static/js/[name].chunk.js', publicPath: '/', }, resolve: { symlinks: false, modules: ['node_modules', 'js', 'framework/src'], extensions: ['.js', '.ts', 'jsx', '.tsx'], plugins: [ new TsConfigPathsPlugin({ configFile: path.join(process.cwd(), 'tsconfig.json'), }), ], }, optimization: { minimize: false, }, plugins: [ new webpack.HotModuleReplacementPlugin(), new HtmlWebpackPlugin({ filename: 'index.html', template: path.join(process.cwd(), 'public/index.html'), // favicon: path.join(process.cwd(), 'public/favicon.png'), chunks: ['vendor', 'main'], inject: true, }), new webpack.DefinePlugin({ __DEVELOPMENT__: true, __DEVTOOLS__: true, }), // new webpack.ProvidePlugin({ // jquery: path.join(process.cwd(), 'js/utils/zepto/zepto.min'), // }), // new BundleAnalyzerPlugin(), new ForkTSCheckerWebpackPlugin({ async: true, typescript: { enabled: true, mode: 'write-references', // profile: true, }, }), new WebpackBar({ // profile: true, name: require(path.join(process.cwd(), 'package.json')).name || 'client', }), new CaseSensitive(), new FriendlyErrorsWebpackPlugin(), new AntdDayjsWebpackPlugin({ replaceMoment: true, plugins: [ 'isSameOrBefore', 'isSameOrAfter', 'advancedFormat', 'customParseFormat', 'weekday', 'weekYear', 'weekOfYear', 'isMoment', 'localeData', 'localizedFormat', 'badMutable', 'isoWeek', 'dayOfYear', 'duration', 'relativeTime', 'isBetween', 'minMax', ], }), ], module: { noParse: [/jszip.js$/], rules: [ { test: /\.(t|j)sx?$/, use: [ 'cache-loader', { loader: 'thread-loader', // loaders with equal options will share worker pools options: { // the number of spawned workers, defaults to (number of cpus - 1) or // fallback to 1 when require('os').cpus() is undefined workers: 2, // number of jobs a worker processes in parallel // defaults to 20 workerParallelJobs: 50, // additional node.js arguments workerNodeArgs: ['--max-old-space-size=1024'], // Allow to respawn a dead worker pool // respawning slows down the entire compilation // and should be set to false for development poolRespawn: false, // timeout for killing the worker processes when idle // defaults to 500 (ms) // can be set to Infinity for watching builds to keep workers alive poolTimeout: 2000, // number of jobs the poll distributes to the workers // defaults to 200 // decrease of less efficient but more fair distribution poolParallelJobs: 50, // name of the pool // can be used to create different pools with elsewise identical options name: 'js-thread-pool', }, }, { loader: 'babel-loader', options: { cacheDirectory: true, }, }, ], exclude: /node_modules/, include: [path.resolve('js'), path.resolve('framework'), path.resolve('packages')], }, { test: /\.css$/, use: ['style-loader', 'css-loader'], }, { test: /\.less$/, use: [ 'style-loader', 'css-loader', { loader: 'less-loader', options: { javascriptEnabled: true, modifyVars: theme, }, }, ], }, { test: /\.(jpeg|png|jpg|gif|pdf|mp3|ogg|wav)$/, use: ['file-loader?name=[path][name].[ext]'], }, { test: /\.woff(2)?(\?v=[0-9]\.[0-9]\.[0-9])?$/, use: ['url-loader?limit=10000&mimetype=application/font-woff'], }, { test: /\.(ttf|eot|svg)(\?v=[0-9]\.[0-9]\.[0-9])?$/, use: ['file-loader'], }, ], }, performance: { hints: false, }, devServer: { quiet: true, contentBase: process.cwd(), port: process.env.PORT || 3000, host: '0.0.0.0', hot: true, compress: true, stats: { colors: true, assets: false, modules: false, children: false, }, historyApiFallback: true, }, }); 把你刚才的改动放入文件中

BandaYung
  • 粉丝: 110
上传资源 快速赚钱