将Liquid模板渲染为Python字典。

huangapple
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英文:

Rendered Liquid template to Python dict

问题

我可以帮你翻译你提供的Liquid模板以及期望的字典格式，但不会回答关于翻译的问题。以下是翻译好的部分：

  1. {
  2.     "articleHeadline": "This is the article of the headline",
  3.     "intro": "\nIntroduction to the document\n",
  4.     "articleHighlights": "\nStep 1: Get up\n\nStep 2: Go to kitchen\n\nStep 3: Get coffee\n",
  5.     "articleSummary": "\nSummary of the document\n"
  6. }

如果你有其他需要，请随时告诉我。

英文:

I have the following Liquid template:

  1. {%- capture vars -%}  
  2. {%- capture articleHeadline -%}This is the article of the headline{%- endcapture -%}  
  3. {%- capture intro -%}
  5. Introduction to the document
  7. {%- endcapture -%}  
  8. {%- capture articleHighlights -%}
  10. Step 1: Get up
  12. Step 2: Go to kitchen
  14. Step 3: Get coffee
  16. {%- endcapture -%}  
  17. {%- capture articleSummary -%}
  19. Summary of the document
  21. {%- endcapture -%}  
  22. {%- endcapture -%}

I'd like to parse this text and end up with a dict of the form:

  1. {
  2.     "articleHeadline": "This is the article of the headline",
  3.     "intro": "\nIntroduction to the document\n"
  4.     "articleHighlights": "\nStep 1: Get up\n\nStep 2: Go to kitchen\n\nStep 3: Get coffee\n",
  5.     "articleSummary": "\nSummary of the document\n"
  6. }

I tried Python Liquid but I'm confident it does not reverse engineer templates like this. I also checked out BeautifulSoup for this purpose but it will only parse HTML tags.

Is there a library or method that I can use to parse this (hopefully avoiding regex)?

答案1

得分: 1

以下是您要翻译的部分：

  1. 我从未使用过这个库，但它似乎公开了一个返回模板的抽象语法树（AST）的解析器API；从那里开始，只需要递归函数来查找所有`capture`块并返回它们的内容。
  3. ```python
  4. from pprint import pprint
  6. from liquid.builtin.tags.capture_tag import CaptureNode
  7. from liquid.environment import Environment
  9. template = """
  10. {%- capture vars -%}  
  11. {%- capture articleHeadline -%}This is the article of the headline{%- endcapture -%}  
  12. {%- capture intro -%}
  14. Introduction to the document
  16. {%- endcapture -%}  
  17. {%- capture articleHighlights -%}
  19. Step 1: Get up
  21. Step 2: Go to kitchen
  23. Step 3: Get coffee
  25. {%- endcapture -%}  
  26. {%- capture articleSummary -%}
  28. Summary of the document
  30. {%- endcapture -%}  
  31. {%- endcapture -%}
  32. """
  35. def get_capture_contents(node):
  36.     if isinstance(node, CaptureNode):
  37.         yield (node.name, node.block)
  38.     if hasattr(node, "children"):
  39.         for child in node.children():
  40.             yield from get_capture_contents(child.node)
  43. env = Environment()
  44. ast = env.parse(template)
  45. blocks = {}
  46. for stmt in ast.statements:
  47.     for cap_name, content in get_capture_contents(stmt):
  48.         blocks[cap_name] = str(content)
  50. pprint(blocks)
英文:

How are you that confident that Python Liquid doesn't do this? 将Liquid模板渲染为Python字典。

I've never used the library before, but it seems to expose a parser API that returns the AST (abstract syntax tree) of the template; from there on out it's just a recursive function away to find all capture blocks and return their contents.

  1. from pprint import pprint
  3. from liquid.builtin.tags.capture_tag import CaptureNode
  4. from liquid.environment import Environment
  6. template = """
  7. {%- capture vars -%}  
  8. {%- capture articleHeadline -%}This is the article of the headline{%- endcapture -%}  
  9. {%- capture intro -%}
  11. Introduction to the document
  13. {%- endcapture -%}  
  14. {%- capture articleHighlights -%}
  16. Step 1: Get up
  18. Step 2: Go to kitchen
  20. Step 3: Get coffee
  22. {%- endcapture -%}  
  23. {%- capture articleSummary -%}
  25. Summary of the document
  27. {%- endcapture -%}  
  28. {%- endcapture -%}
  29. """
  32. def get_capture_contents(node):
  33.     if isinstance(node, CaptureNode):
  34.         yield (node.name, node.block)
  35.     if hasattr(node, "children"):
  36.         for child in node.children():
  37.             yield from get_capture_contents(child.node)
  40. env = Environment()
  41. ast = env.parse(template)
  42. blocks = {}
  43. for stmt in ast.statements:
  44.     for cap_name, content in get_capture_contents(stmt):
  45.         blocks[cap_name] = str(content)
  47. pprint(blocks)

prints out

  1. {'articleHeadline': 'This is the article of the headline',
  2.  'articleHighlights': 'Step 1: Get up\n'
  3.                       '\n'
  4.                       'Step 2: Go to kitchen\n'
  5.                       '\n'
  6.                       'Step 3: Get coffee',
  7.  'articleSummary': 'Summary of the document',
  8.  'intro': 'Introduction to the document',
  9.  'vars': 'var articleHeadline = { This is the article of the headline }var '
  10.          'intro = { Introduction to the document }var articleHighlights = { '
  11.          'Step 1: Get up\n'
  12.          '\n'
  13.          'Step 2: Go to kitchen\n'
  14.          '\n'
  15.          'Step 3: Get coffee }var articleSummary = { Summary of the document }'}

huangapple
  • 本文由 发表于 2023年5月25日 20:44:08
  • 转载请务必保留本文链接：https://go.coder-hub.com/76332407.html
  • liquid
  • python
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