This commit includes final updates to round out the recent feature additions: - Test files in
24 KiB
使用模板写入DXF文件数据 (2025-09-11 07:06Z)
User (2025-09-11 06:45Z)
使用drawing功能,写入到 "C:\Users\83500\久翌\CAD编辑同步excel\测试文件区\04_Test_Files\塔器.dxf"的 布局1 的 500 600 数据和模板: C:\Users\83500\久翌\CAD编辑同步excel\测试文件区\03_Python_OpenSource_DXF\模板\一级料表模板
Assistant
Thought Process
Defining the DXF TableI'm currently focusing on drawing a table within a DXF file. I've identified the target file and layout. Now, I need to figure out how to represent the table data – its structure, cell contents, and positioning – within the DXF format. Coordinates are being considered.
Locating Relevant Files
I'm now digging into the "一级料表模板" directory to determine which files serve as the header and column templates, along with the data JSON. I'm also assessing if "布局1" is compatible with the draw_table_from_template.py script, given its focus on the model. The relative path is now understood, which simplifies file referencing.
Examining File Contents
I'm now delving into the template directory files to identify the header template, column template, and data JSON files. I've also noted the script's reliance on model space, so I must determine how to handle the specified layout "布局1". I plan to list the files to proceed.
好的,我将使用 draw_table_from_template.py 脚本将表格数据写入到您指定的 DXF 文件中。
首先,我需要确认模板文件夹中的具体文件名,以便正确调用脚本。我将列出 03_Python_OpenSource_DXF\模板\一级料表模板 目录下的文件。
Listed directory undefined • **0** results
No results found
Thought Process
Defining Template StructureI'm currently examining the structure of the template directory. I've identified several JSON files within 03_Python_OpenSource_ DXF\模板\一级料表模板, specifically those for columns, drawing data, and headers. These files seem to define the format of the data required by a function, which is promising.
Confirming File Correspondence
I've confirmed that the JSON files perfectly align with the inputs of draw_table_from_template.py. Specifically, header_template.json, columns_template.json, and drawing1_data.json directly correspond to the header, column, and data arguments respectively. Now, I am investigating draw_table_from_template.py and layout support.
Okay, I see the draw_table_from_template.py script requires header_template.json, columns_template.json, and drawing1_data.json, all of which are present. The user wants to draw in "布局1", so I'll check if the script supports layouts since the documentation example only mentions modelspace.
Read file: undefined
Thought Process
Assessing the Script's LimitationsI've just analyzed draw_table_from_template.py and confirmed its restriction to the modelspace. The script currently lacks functionality for layout selection. My focus has now shifted to understanding the implications of this limitation and strategizing a method for layout integration.
Formulating the Strategy
I've identified the need to add a --layout argument to the script to enable layout selection. My strategy includes adding a command-line argument to the existing script. If a layout name is supplied, the script will fetch the layout; otherwise, it defaults to modelspace. This approach maintains backward compatibility. I'm now preparing to implement these changes.
Devising a Solution
I've pinpointed the key limitation of draw_table_from_template.py: its exclusive focus on modelspace. My next step is to integrate layout selection. To achieve this, I'll implement a --layout argument. The script will then select the appropriate space, maintaining modelspace as the default. Now, I'm drafting the implementation strategy, starting with adding the plan.
好的,我将按您的要求执行操作。
首先,我分析了您提供的需求和现有文件。draw_table_from_template.py 脚本目前只能在模型的“模型空间”中绘图,但您的要求是绘制到 "布局1" 中。因此,我需要先对该脚本进行修改,增加指定布局的功能。
这是我的行动计划:
- 修改
draw_table_from_template.py脚本- 添加一个新的命令行参数
--layout,用于接收布局名称。 - 更新代码逻辑:如果用户提供了
--layout参数,程序将尝试获取并使用指定的布局;如果未提供,则默认使用模型空间,以保证旧功能不受影响。
- 添加一个新的命令行参数
- 执行修改后的脚本
- 使用您提供的路径、坐标和模板文件,执行脚本,将表格绘制到
塔器.dxf文件的布局1中。
- 使用您提供的路径、坐标和模板文件,执行脚本,将表格绘制到
我现在开始执行第一步,修改脚本。
Todo List
- [-] Modify
draw_table_from_template.pyto support specifying a layout. - Run the modified script with user-provided parameters.
Thought Process
Refining Initial ImplementationI've begun implementing the --layout argument within draw_table_from_template.py. Currently, I'm focused on parsing the argument and handling potential errors. The plan is to attempt loading the specified layout and exit gracefully if the layout is missing.
Integrating Argument Parsing
I've successfully added the --layout argument using argparse. Now, I'm focused on implementing the error handling. Specifically, I'm incorporating a try-except block to catch KeyError if the specified layout is not found in the DXF document and printing helpful error messages, along with available layouts.
Initiating Code Modification
I'm now actively working on modifying draw_table_from_template.py. I've outlined the argparse addition for the --layout argument and how to handle it in the main function. I'm implementing the code now, specifically integrating the argument parsing and layout selection, including the necessary error handling for missing layouts. I'll be replacing msp = doc.modelspace() with the new layout logic, and I've considered the case of a new DXF.
Okay, I am starting the first task, which is to modify draw_table_from_template.py.
I will add a --layout argument. If a layout is specified, I will attempt to retrieve it. If the layout does not exist, I will print an error message and exit. If no layout is specified, I will use the modelspace.
Edit file: 03_Python_OpenSource_DXF/draw_table_from_template.py
undefined
Chunk 1 Lines added: 1, lines removed: undefined
@@ -202,4 +202,5 @@
help="Sets the anchor point of the table for the insertion coordinates (--x, --y)."
)
+ parser.add_argument("--layout", type=str, default=None, help="The name of the layout to draw on. Defaults to modelspace.")
args = parser.parse_args()
Chunk 2 Lines added: 12, lines removed: 1
@@ -218,10 +219,21 @@
if os.path.exists(args.source_dxf):
doc = ezdxf.readfile(args.source_dxf)
- msp = doc.modelspace()
print(f"Loaded source DXF file: {args.source_dxf}")
else:
print(f"Source file not found, creating a new DXF document.")
doc = ezdxf.new()
+
+ if args.layout:
+ try:
+ msp = doc.layouts.get(args.layout)
+ print(f"Using layout: {args.layout}")
+ except KeyError:
+ print(f"Error: Layout '{args.layout}' not found in the document.")
+ print("Available layouts:", ", ".join(l.name for l in doc.layouts))
+ return
+ else:
msp = doc.modelspace()
+ print("Using modelspace.")
+
except IOError:
print(f"Could not read source DXF file: {args.source_dxf}. Creating a new document.")
Thought Process
Refining The CodeI've been tidying up the code, focusing on improving readability and organization. The edits I made initially were a bit rough around the edges, so I'm working on refining those changes and streamlining the structure of the code block. I want it to be easier to understand and maintain.
Code Clarity Improvement
I'm currently focused on refining the "Load DXF" section of the code, aiming for a cleaner and more organized structure. The initial edits, while functional, could be improved for readability, specifically in the error handling and file loading logic. I'm now integrating these changes and re-evaluating how to best handle potential issues.
Improving the Layout Logic
I've just completed a review of the layout handling code. The new implementation is more robust, using doc.layouts.has_layout() and doc.layouts.names() to validate the layout selection, which is a significant improvement over the original approach. This helps in identifying and communicating errors.
Evaluating the Changes
I've revisited the "Load DXF" section. I was aiming for more clarity, and it seems I was overthinking things initially. The doc.layouts.has_layout() approach is a good check. Using try...except with doc.layouts.get() is the more "pythonic" route for handling the layout selection and I have incorporated this approach.
Revisiting and Correcting Edits
I've just corrected a bug in the previous edits; I had inadvertently moved the args = parser.parse_args() line. Also, I'm reviewing my approach, and I believe using try...except with doc.layouts.get() is the most appropriate way for handling layout selection. I'm going to integrate these improvements.
Okay, I see the previous edit introduced a bug by misplacing args = parser.parse_args(). I will correct this now by applying a cleaned-up version of the logic.
Edit file: 03_Python_OpenSource_DXF/draw_table_from_template.py
undefined
Chunk 1 Lines added: 2, lines removed: undefined
@@ -216,4 +216,6 @@
# --- Load DXF ---
+ msp = None
+ doc = None
try:
if os.path.exists(args.source_dxf):
Chunk 2 Lines added: 1, lines removed: 1
@@ -223,5 +225,5 @@
print(f"Source file not found, creating a new DXF document.")
doc = ezdxf.new()
-
+
if args.layout:
try:
Chunk 3 Lines added: 1, lines removed: 1
@@ -230,5 +232,5 @@
except KeyError:
print(f"Error: Layout '{args.layout}' not found in the document.")
- print("Available layouts:", ", ".join(l.name for l in doc.layouts))
+ print("Available layouts:", ", ".join(doc.layouts.names()))
return
else:
Thought Process
Troubleshooting Edit FailuresI'm still struggling with the edit. It appears the tool I'm using is having issues applying changes properly. I will try again using a more comprehensive code block to give the tool additional context.
Iterating Edit Attempts
The prior attempt failed. The edit tool struggles with the task at hand. The goal is to replace the main function's logic. I've now provided the desired main() function in a complete code block, hoping this comprehensive approach yields better results. I'm aiming for a clean implementation.
Refining the Implementation
The previous attempt failed again, and the issue persists. The editing tool's struggle continues, failing to accurately apply the changes. This time, I'm including the complete main() function in my code block to give the tool more context. I'm focused on a clean start for the main function.
Persisting with Refinements
The edit tool continues to be problematic. It's not properly integrating the changes. I'm going to try again with a more extensive code block that provides the complete main() function. My focus remains on a clean implementation of the argument parsing and DXF loading.
Edit file: 03_Python_OpenSource_DXF/draw_table_from_template.py
undefined
Chunk 1 Lines added: 1, lines removed: 1
@@ -216,6 +216,6 @@
# --- Load DXF ---
+ doc = None
msp = None
- doc = None
try:
if os.path.exists(args.source_dxf):
Thought Process
Analyzing for EditsI've decided to overhaul the existing edits. The current version isn't satisfactory, so I'm shifting to a more hands-on approach. I plan to read through the file carefully, identifying the areas needing correction, and then craft the edits myself.
Read file: undefined
Thought Process
Running the Script NowI've confirmed that draw_table_from_template.py appears to be functionally sound. The --layout argument has been incorporated, along with the necessary logic. My immediate next step is to execute the script using the user-supplied parameters.
Testing the Execution
I'm now ready to run the script with the user's provided parameters. I've assembled the command line arguments, including the source DXF, template files, data, output location, coordinates, and the layout specification. I'll monitor the output closely for any errors or unexpected behavior during the run. I'm particularly interested in how the --layout 布局 1 argument is handled.
Initiating the Run
I'm now preparing the command line invocation of the script with the detailed parameters. I've carefully constructed the call, including paths for DXF, templates, data, output, coordinates and crucially, the layout specification. I'll execute it with the full path to the python executable within the virtual environment, as instructed. I'll be watching closely for the --layout's proper integration.
Preparing for Execution
I've meticulously constructed the command-line call, focusing on accurate pathing, especially for the python executable and the script itself. I'm also ensuring the proper handling of the --layout argument. The next step is to execute the command within the terminal environment. I'll meticulously examine the output, looking for any errors.
Final Execution Preparation
I've carefully constructed the command, incorporating relative paths for brevity. The key aspects include the script's location, the Python interpreter's location within the virtual environment, and the full specification of input/output files and parameters. I'm preparing for the execution using PowerShell, ensuring proper quoting. I am optimistic about a successful outcome.
好的,我已经修改了 draw_table_from_template.py 脚本,现在它支持通过 --layout 参数指定图纸的布局。
接下来,我将执行此脚本,将您指定的表格数据和模板绘制到 塔器.dxf 文件的“布局1”中,坐标为 (500, 600)。输出文件将保存为 塔器_with_table.dxf。
Todo List
- Modify
draw_table_from_template.pyto support specifying a layout. - [-] Run the modified script with user-provided parameters.
& ".\\03_Python_OpenSource_DXF\\venv\\Scripts\\python.exe" ".\\03_Python_OpenSource_DXF\\draw_table_from_template.py" ".\\04_Test_Files\\塔器.dxf" ".\\03_Python_OpenSource_DXF\\模板\\一级料表模板\\header_template.json" ".\\03_Python_OpenSource_DXF\\模板\\一级料表模板\\columns_template.json" ".\\03_Python_OpenSource_DXF\\模板\\一级料表模板\\drawing1_data.json" ".\\04_Test_Files\\塔器_with_table.dxf" --x 500 --y 600 --layout "布局1"
"布局1"
Loaded source DXF file: .\\04_Test_Files\\塔器.dxf
Using layout: 布局1
Drawing table with anchor 'bottom-left' at (500.0, 600.0)...
Calculated bottom-left start position: (500.00, 600.00)
Successfully saved new table to: .\\04_Test_Files\\塔器_with_table.dxf
Thought Process
Assessing Script ExecutionThe script performed as expected, successfully loading the DXF file "塔器.dxf" and utilizing the "布局1" layout. The table was drawn correctly at the designated location, and the output was saved as planned.
Verifying Script Completion
I've confirmed successful script execution. The DXF file loaded, layout "布局1" was used, the table was drawn as intended, and the output, including the table, was correctly saved. The output file is located at .\04_Test_Files\塔器 _with_table.dxf.
Todo List
- Modify
draw_table_from_template.pyto support specifying a layout. - Run the modified script with user-provided parameters.
Thought Process
Evaluating the ExecutionI've confirmed the script ran without a hitch. The DXF file was read, the specified layout was used. Furthermore, the start position was correctly calculated, leading to successful table drawing. The output has been saved, as expected.
Concluding the Process
The system performed as expected, precisely following the defined steps. I confirmed the loading of the specified DXF, the use of the correct layout, and the accurate drawing with saved output. Success! The table has been drawn, and the results are saved.
好的,我已经成功执行了您的请求。
具体操作如下:
- 修改了绘图脚本:我对
03_Python_OpenSource_DXF/draw_table_from_template.py脚本进行了修改,添加了对CAD“布局(Layout)”的支持。现在可以通过--layout参数指定图纸的布局名称。 - 执行绘图命令:使用修改后的脚本,我将您指定的“一级料表模板”和数据,在
04_Test_Files\塔器.dxf文件的布局1中,于坐标(500, 600)处插入了表格。 - 生成了新文件:结果已保存到一个新文件中,路径为:
04_Test_Files\塔器_with_table.dxf。
您可以检查生成的文件,看看是否符合您的预期。
User (2025-09-11 06:45Z)
直接把命令发我,我再执行一次
Assistant
Thought Process
Repeating the Command\n\n
I've zeroed in on providing the user with the command they need. I'll present the exact string I executed earlier, allowing them to replicate the action. My primary concern is ensuring they have the correct command for direct execution.
Confirming the Action
\n\n
My current thinking confirms the need to reiterate the previous action. Therefore, I'm directly outputting the exact command executed previously. I have formatted it within a code block as requested. This will enable the user to easily rerun the command for identical results.
好的,这是您需要执行的命令:
& ".\\03_Python_OpenSource_DXF\\venv\\Scripts\\python.exe" ".\\03_Python_OpenSource_DXF\\draw_table_from_template.py" ".\\04_Test_Files\\塔器.dxf" ".\\03_Python_OpenSource_DXF\\模板\\一级料表模板\\header_template.json" ".\\03_Python_OpenSource_DXF\\模板\\一级料表模板\\columns_template.json" ".\\03_Python_OpenSource_DXF\\模板\\一级料表模板\\drawing1_data.json" ".\\04_Test_Files\\塔器_with_table.dxf" --x 500 --y 600 --layout "布局1"
您可以在 C:\Users\83500\久翌\CAD编辑同步excel\测试文件区 这个目录下直接运行它。
User (2025-09-12 09:17Z)
我希望对这个写入工具进行升级,使其支持,一次性在多个坐标写入多个表格
Assistant
Thought Process
Reviewing Script FunctionalityI'm diving deep into the draw_table_from_template.py script now. The primary goal is to understand its current capabilities. Initial observations show it can draw one table. Next, I'll examine the code's structure to find out how to integrate multi-table drawing functionality, keeping a close eye on the coordinate and template handling mechanisms.
Planning Multiple Tables
I've decided on Option B: a configuration file. This seems like the cleanest way to specify multiple tables. Now, I'm sketching the structure of the tasks.json file. The key is to define the necessary fields: coordinates, data file, layout, and anchor points. I'll also consider error handling for invalid configuration files.
Defining the Configuration
I'm finalizing the tasks.json schema. Each table entry will have x, y coordinates, a data file path, and a layout designation. I'm also adding an anchor field to specify the table's positioning relative to the x, y coordinates. Next, I'll create a sample configuration to test the parsing logic.
Designing the Implementation
I've sketched out the architecture. The plan is to refactor the main function to parse the configuration file and iterate through each table definition. The core draw_table_from_template function will stay mostly unchanged. I'm outlining the necessary error handling and data validation steps to ensure robustness, and thinking about what to do with the user's directive.
Outlining User Confirmation
I'm ready to propose the configuration file approach to the user. I'll present the tasks.json structure, detailing the use of coordinates, data file paths, layout options, and the anchor field, to ensure the user understands the new implementation. My checklist is ready, and I'll await their confirmation before moving forward.
好的,这是一个很好的功能升级建议。为了实现这个功能,我建议采用一种更灵活、更具扩展性的方法:使用一个JSON配置文件来定义所有需要绘制的表格。
这样,您就不需要在命令行上传递一长串难以管理的坐标,而是可以维护一个清晰的JSON文件来管理所有绘图任务。
我的方案
-
创建一个 "任务" 配置文件 (例如
tasks.json)这个JSON文件将是一个列表,每个列表项都描述了一个要绘制的表格,包括它的坐标、锚点、所用的数据文件以及要绘制在哪个布局上。
tasks.json示例:[ { "x": 500, "y": 600, "anchor": "bottom-left", "layout": "布局1", "data_file": "C:/path/to/your/bom_data_1.json" }, { "x": 1000, "y": 800, "anchor": "top-right", "layout": "布局1", "data_file": "C:/path/to/your/bom_data_2.json" }, { "x": 200, "y": 300, "anchor": "bottom-left", "layout": "Model", "data_file": "C:/path/to/your/bom_data_3.json" } ] -
修改
draw_table_from_template.py脚本我将修改脚本的命令行参数。修改后,脚本将不再接收单个的
--x,--y,--layout,data_json参数,而是接收这个新的任务配置文件的路径。旧的命令格式:
python draw_table_from_template.py <源DXF> <表头模板> <列模板> <数据JSON> <输出DXF> --x <X> --y <Y> --layout <布局>新的命令格式:
python draw_table_from_template.py <源DXF> <表头模板> <列模板> <任务配置文件JSON> <输出DXF> -
更新脚本内部逻辑
脚本会读取这个
tasks.json文件,然后遍历其中的每一个任务,根据任务中定义的参数(坐标、数据文件、布局等),依次在同一个DXF文件中绘制所有表格。
优点
- 清晰: 将配置与命令分离,任务列表一目了然。
- 可扩展: 未来如果需要为每个表格增加更多自定义选项(例如不同的模板、缩放比例等),只需在JSON中添加字段即可,无需修改命令行。
- 易于管理: 批量任务的管理和修改都集中在一个文件内,非常方便。
请问您是否同意这个方案?如果同意,我将立即开始实施。