89 lines
2.7 KiB
Python
89 lines
2.7 KiB
Python
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import json
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def class_info_decode(data):
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'''解析class的相关信息'''
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params_dict = {}
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for i in data:
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_params_dict = {}
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for ii in i:
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for k, v in ii.items():
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if k=="origin_query": continue
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if k == "Code Path":
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_params_dict["code_path"] = v.split("#")[0]
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_params_dict["function_name"] = ".".join(v.split("#")[1:])
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if k == "Class Description":
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_params_dict["ClassDescription"] = v
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if k == "Class Base":
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_params_dict["ClassBase"] = v
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if k=="Init Parameters":
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_params_dict["Parameters"] = v
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code_path = _params_dict["code_path"]
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params_dict.setdefault(code_path, []).append(_params_dict)
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return params_dict
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def method_info_decode(data):
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params_dict = {}
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for i in data:
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_params_dict = {}
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for ii in i:
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for k, v in ii.items():
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if k=="origin_query": continue
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if k == "Code Path":
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_params_dict["code_path"] = v.split("#")[0]
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_params_dict["function_name"] = ".".join(v.split("#")[1:])
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if k == "Return Value Description":
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_params_dict["Returns"] = v
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if k == "Return Type":
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_params_dict["ReturnType"] = v
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if k=="Parameters":
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_params_dict["Parameters"] = v
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code_path = _params_dict["code_path"]
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params_dict.setdefault(code_path, []).append(_params_dict)
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return params_dict
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def encode2md(data, md_format):
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md_dict = {}
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for code_path, params_list in data.items():
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for params in params_list:
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params["Parameters_text"] = "\n".join([f"{param['param']}({param['param_type']})-{param['param_description']}"
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for param in params["Parameters"]])
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# params.delete("Parameters")
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text=md_format.format(**params)
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md_dict.setdefault(code_path, []).append(text)
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return md_dict
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method_text_md = '''> {function_name}
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| Column Name | Content |
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|-----------------|-----------------|
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| Parameters | {Parameters_text} |
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| Returns | {Returns} |
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| Return type | {ReturnType} |
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'''
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class_text_md = '''> {code_path}
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Bases: {ClassBase}
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{ClassDescription}
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{Parameters_text}
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'''
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