├── test └── test.py ├── img └── taomi.png ├── input └── 模板.xlsx ├── output └── 模板.docx ├── templates ├── 样品.docx ├── 模板.xlsx ├── index.html └── text.html ├── far ├── __pycache__ │ ├── _config.cpython-39.pyc │ ├── _para.cpython-39.pyc │ ├── _text.cpython-39.pyc │ ├── __init__.cpython-39.pyc │ └── _formula.cpython-39.pyc ├── __init__.py ├── _config.py ├── _gpt.py ├── _formula.py ├── core.py ├── _text.py ├── main.py └── _para.py ├── requirements.txt ├── LICENSE ├── start.py ├── start_aigc.py ├── README.md ├── webapp.py ├── .gitignore └── db └── 模板.json /test/test.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /img/taomi.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/watalo/safa/HEAD/img/taomi.png -------------------------------------------------------------------------------- /input/模板.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/watalo/safa/HEAD/input/模板.xlsx -------------------------------------------------------------------------------- /output/模板.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/watalo/safa/HEAD/output/模板.docx -------------------------------------------------------------------------------- /templates/样品.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/watalo/safa/HEAD/templates/样品.docx -------------------------------------------------------------------------------- /templates/模板.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/watalo/safa/HEAD/templates/模板.xlsx -------------------------------------------------------------------------------- /far/__pycache__/_config.cpython-39.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/watalo/safa/HEAD/far/__pycache__/_config.cpython-39.pyc -------------------------------------------------------------------------------- /far/__pycache__/_para.cpython-39.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/watalo/safa/HEAD/far/__pycache__/_para.cpython-39.pyc -------------------------------------------------------------------------------- /far/__pycache__/_text.cpython-39.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/watalo/safa/HEAD/far/__pycache__/_text.cpython-39.pyc -------------------------------------------------------------------------------- /far/__pycache__/__init__.cpython-39.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/watalo/safa/HEAD/far/__pycache__/__init__.cpython-39.pyc -------------------------------------------------------------------------------- /far/__pycache__/_formula.cpython-39.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/watalo/safa/HEAD/far/__pycache__/_formula.cpython-39.pyc -------------------------------------------------------------------------------- /far/__init__.py: -------------------------------------------------------------------------------- 1 | 2 | # from _text import normal,no_year1,no_year2,no_year3,all_years,header 3 | 4 | __all__ = ['_config', '_formula','_para', '_text', 5 | # '_gpt' 6 | ] 7 | 8 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | blinker==1.8.2 2 | click==8.1.7 3 | et-xmlfile==1.1.0 4 | Flask==3.0.3 5 | itsdangerous==2.2.0 6 | Jinja2==3.1.4 7 | lxml==5.2.2 8 | MarkupSafe==2.1.5 9 | openpyxl==3.1.4 10 | python-docx==1.1.2 11 | tinydb==4.8.0 12 | typing_extensions==4.12.2 13 | Werkzeug==3.0.3 14 | -------------------------------------------------------------------------------- /far/_config.py: -------------------------------------------------------------------------------- 1 | 2 | '''路径配置文件''' 3 | 4 | import os 5 | 6 | ROOT_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), '..')) 7 | INPUT_PATH = os.path.join(ROOT_PATH, 'input') 8 | OUTPUT_PATH = os.path.join(ROOT_PATH, 'output') 9 | IMG_PATH = os.path.join(ROOT_PATH, 'img') 10 | DB_PATH = os.path.join(ROOT_PATH, 'db') 11 | # MODEL_PATH = os.path.join(ROOT_PATH, 'THUDM', 'chatglm-6b') -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2023 watalo 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /start.py: -------------------------------------------------------------------------------- 1 | 2 | # -*- coding: utf-8 -*- 3 | #__author__:"watalo" 4 | # @Time: 2020/3/27 1:51 5 | # @Site : 6 | # @File : start.py 7 | # @Software: 8 | 9 | ''' 10 | 经典方法执行文件 11 | ''' 12 | import os 13 | from far._config import INPUT_PATH, OUTPUT_PATH, DB_PATH 14 | from far.core import getDB 15 | from far.main import get_docx 16 | 17 | def init_dir(): 18 | for path in [OUTPUT_PATH, DB_PATH]: 19 | files = os.listdir(path) 20 | for file in files: 21 | os.remove(os.path.join(path, file)) 22 | 23 | def get_template_filename(): 24 | return os.listdir(''.join(INPUT_PATH))[0].split('.')[0] 25 | 26 | def start(): 27 | name = get_template_filename() 28 | output_path = os.path.join(OUTPUT_PATH, f'{name}.docx') 29 | db = getDB(name = name) 30 | get_docx(name=name, output_path=output_path) 31 | return output_path 32 | 33 | def get_all_file_paths(): 34 | file_paths = [] 35 | for root, directories, files in os.walk("."): 36 | for filename in files: 37 | filepath = os.path.join(root, filename) 38 | file_paths.append(filepath) 39 | return file_paths 40 | 41 | if __name__ == "__main__": 42 | init_dir() 43 | start() 44 | 45 | 46 | -------------------------------------------------------------------------------- /far/_gpt.py: -------------------------------------------------------------------------------- 1 | # here put the import lib 2 | from transformers import AutoTokenizer, AutoModel 3 | from . import _config 4 | import re 5 | 6 | 7 | ''' 8 | Glm类 9 | 用来调用ChatGLM的返回信息 10 | - 属性 11 | .model_path 指定存放模型的文件夹路径 12 | - 方法 13 | .response() 唯一的,用来接受prompt列表,并返回‘回复’列表 14 | 调整_text.py内容， 15 | ''' 16 | 17 | class Glm(): 18 | def __init__(self): 19 | self.model_path = _config.Path.model 20 | self.tokenizer = AutoTokenizer.from_pretrained(self.model_path, trust_remote_code=True) 21 | 22 | def __model(self,type='GPU'): 23 | model = AutoModel.from_pretrained(self.model_path, trust_remote_code=True) 24 | if type == 'GPU': 25 | model = model.half().cuda() 26 | elif type == 'CPU': 27 | model = model.float() 28 | model = model.eval() 29 | return model 30 | 31 | def response(self,prompt): 32 | res,his = self.__model('CPU').chat(self.tokenizer, prompt, history=[]) 33 | # res = res.strip(r'\r').strip(r'\n').strip(r'\t') 34 | res = res.strip(r'\r').strip(r'\n').strip('\t').strip('^l') 35 | return res 36 | 37 | # 清楚字符串中的‘\r'、'\n’和‘\t’ 38 | 39 | 40 | 41 | 42 | class Prompt(object): 43 | p2 = '请分析申请人的资本结构。' 44 | p3 = '请分析申请人的盈利能力。' 45 | p4 = '请分析申请人的现金流量。' 46 | p5 = '请分析申请人的资产质量。' 47 | p6 = '请分析申请人的流动性。' 48 | 49 | 50 | 51 | -------------------------------------------------------------------------------- /start_aigc.py: -------------------------------------------------------------------------------- 1 | # # AIstudio运行取消以下注释 2 | 3 | # # import sys 4 | # # sys.path.append('/home/aistudio/work/external-libraries') 5 | # # sys.path.append('/home/aistudio/external-libraries') 6 | 7 | 8 | # import os 9 | # from far import _config 10 | # from far.core import getDB 11 | # # from far.main import get_docx_with_ChatGLM 12 | 13 | 14 | # def init_dir(): 15 | # for i in ['/safa/db', '/safa/output']: 16 | # dirpath = ''.join([_config.Path.root, "/%s" % i]) 17 | # namelist = os.listdir(dirpath) 18 | # for filename in namelist: 19 | # os.remove(os.path.join(dirpath, filename)) 20 | 21 | # def get_template_filename(): 22 | # return os.listdir(''.join(_config.Path.input))[0].split('.')[0] 23 | 24 | # def get_start(): 25 | # name = get_template_filename() 26 | # output_path = '/'.join([_config.Path.output, name +'.docx']) 27 | # db_path = ''.join([_config.Path.db, name + '.json']) 28 | # db = getDB(name = name) 29 | # get_docx(name=name, output_path=output_path) 30 | # return output_path 31 | 32 | 33 | # def get_all_file_paths(): 34 | # file_paths = [] 35 | # for root, directories, files in os.walk("."): 36 | # for filename in files: 37 | # filepath = os.path.join(root, filename) 38 | # file_paths.append(filepath) 39 | # return file_paths 40 | 41 | # if __name__ == "__main__": 42 | # init_dir() 43 | # name = os.listdir(''.join(_config.Path.input))[0].split('.')[0] 44 | # output_path = '/'.join([_config.Path.output, name +'.docx']) 45 | # print(output_path) 46 | # db_path = '/'.join([_config.Path.db, name + '.json']) 47 | # db = getDB(name = name) 48 | # get_docx_with_ChatGLM(name=name,output_path=output_path) 49 | 50 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | 2 |

Semi-Automatic Financial Analysis(safa)

3 | 4 | 5 |

6 | GitHub 7 | GitHub repo size 8 | GitHub top language 9 | GitHub last commit 10 |

11 | 12 |

13 | 只用填好财务数据表格，就可以直接生成报告 14 |

15 | 财务报表.xlsx ➡️ 分析报告.docx 16 |

17 | 18 | ## 使用环境 19 | 20 | ### 安装 21 | 22 | 语言：python >= 3.8 23 | 24 | 1. 打开Win系统中的终端: Win + R ,输入 `cmd`，按下ENTER 25 | 2. 进入准备保存项目的目录，比如：`cd E:\` 26 | 3. 下载项目文件，输入： `git clone https://github.com/watalo/safa.git`，等待下载完成。 27 | 4. 进入项目目录，输入： `cd safa` 28 | 5. 创建虚拟环境，输入： `python -m venv .venv` 29 | 6. 激活虚拟环境，输入： `.venv\Scripts\activate` 30 | 7. 安装依赖，输入： `pip install -r requirements.txt` 31 | 32 | ### 数据准备 33 | 34 | - 按下表企业财务报表数据完整情况填写数据 35 | 36 | | 缺失情况 |对应`_text.py`中的模版|填入标记为1的列|备注| 37 | |:--:|:-:|:-:|-| 38 | |数据完整| normal|1-1-1-1|成立超3年| 39 | |缺少第1年数据 | no_year3|0-1-1-1|成立不足3年| 40 | |缺少第2年数据 | no_year2|0-0-1-1|成立不足2年| 41 | |缺少第3年数据 | no_year1|0-0-0-1|成立不足1年| 42 | |当期为年末数据 | all_years|1-1-1-0|报告时间还没出1月报| 43 | 44 | - 在input文件夹中找到`***.xlsx`，填写财务数据 45 | - 总共4列(例如:2021 | 2022 | 2023 | 2023M3 ) 46 | 47 | ### 使用 48 | 49 | #### 普通版 50 | 51 | - 运行py文件 52 | - 运行`start.py` 53 | - 在`\output`中找到生成的`***.docx`，名字与`***.xlsx`文件一样。 54 | 55 | 56 | #### 网页版 57 | - 运行`webapp.py`启动本地网页后台 58 | - 浏览器访问：http://127.0.0.1:5000 59 | 60 |
61 | 62 |
63 | -------------------------------------------------------------------------------- /webapp.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # -*- encoding: utf-8 -*- 3 | ''' 4 | @File : chatfar.py 5 | @Time : 2023/04/11 13:15:26 6 | @Author : watalo 7 | @Version : 1.0 8 | @Contact : watalo@163.com 9 | ''' 10 | 11 | from flask import Flask, render_template, request, send_file 12 | import os 13 | from start import * 14 | from far import _config 15 | 16 | app = Flask(__name__) 17 | 18 | # 文件下载功能 19 | @app.route('/download') 20 | def download_file(): 21 | filename = './templates/模板.xlsx' # 要下载的文件名 22 | directory = os.getcwd() # 获取当前目录 23 | path = os.path.join(directory, filename) # 获取文件完整路径 24 | return send_file(path, as_attachment=True) # 返回文件下载 25 | 26 | @app.route('/download2') 27 | def download_file2(): 28 | filename = './templates/样品.docx' # 要下载的文件名 29 | directory = os.getcwd() # 获取当前目录 30 | path = os.path.join(directory, filename) # 获取文件完整路径 31 | return send_file(path, as_attachment=True) # 返回文件下载 32 | 33 | # 文件上传功能 34 | @app.route('/upload', methods=['get','POST']) 35 | def upload_file(): 36 | for i in ['/safa/db', '/safa/output', '/safa/input']: 37 | dirpath = ''.join([_config.Path.root, r"/%s" % i]) 38 | namelist = os.listdir(dirpath) 39 | for file_name in namelist: 40 | os.remove(dirpath+'/' + file_name) 41 | 42 | if request.method == 'POST': 43 | file = request.files['file'] # 获取上传的文件 44 | filename = file.filename # 获取文件名 45 | file.save('./input/'+filename) # 将上传的文件保存到当前目录下 46 | return render_template('index.html',success=True) 47 | return render_template('index.html') 48 | 49 | # 生成报告功能 50 | @app.route('/generate_report') 51 | def generate_report(): 52 | 53 | # 进行后台程序的处理，生成新的报告文件 54 | init_dir() 55 | new_filename = get_start() 56 | 57 | return send_file(new_filename, as_attachment=True) # 返回生成的报告文件下载 58 | 59 | # 页面渲染 60 | @app.route('/') 61 | def index(): 62 | return render_template('index.html') 63 | 64 | if __name__ == '__main__': 65 | app.run(debug=True) -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | far/__pycache__/ 4 | *.py[cod] 5 | *$py.class 6 | 7 | # C extensions 8 | *.so 9 | 10 | # Distribution / packaging 11 | .Python 12 | build/ 13 | develop-eggs/ 14 | dist/ 15 | downloads/ 16 | eggs/ 17 | .eggs/ 18 | lib/ 19 | lib64/ 20 | parts/ 21 | sdist/ 22 | var/ 23 | wheels/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | *.py,cover 51 | .hypothesis/ 52 | .pytest_cache/ 53 | cover/ 54 | 55 | # Translations 56 | *.mo 57 | *.pot 58 | 59 | # Django stuff: 60 | *.log 61 | local_settings.py 62 | db.sqlite3 63 | db.sqlite3-journal 64 | 65 | # Flask stuff: 66 | instance/ 67 | .webassets-cache 68 | 69 | # Scrapy stuff: 70 | .scrapy 71 | 72 | # Sphinx documentation 73 | docs/_build/ 74 | 75 | # PyBuilder 76 | .pybuilder/ 77 | target/ 78 | 79 | # Jupyter Notebook 80 | .ipynb_checkpoints 81 | 82 | # IPython 83 | profile_default/ 84 | ipython_config.py 85 | 86 | # pyenv 87 | # For a library or package, you might want to ignore these files since the code is 88 | # intended to run in multiple environments; otherwise, check them in: 89 | # .python-version 90 | 91 | # pipenv 92 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 93 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 94 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 95 | # install all needed dependencies. 96 | #Pipfile.lock 97 | 98 | # poetry 99 | # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. 100 | # This is especially recommended for binary packages to ensure reproducibility, and is more 101 | # commonly ignored for libraries. 102 | # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control 103 | #poetry.lock 104 | 105 | # pdm 106 | # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. 107 | #pdm.lock 108 | # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it 109 | # in version control. 110 | # https://pdm.fming.dev/#use-with-ide 111 | .pdm.toml 112 | 113 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm 114 | __pypackages__/ 115 | 116 | # Celery stuff 117 | celerybeat-schedule 118 | celerybeat.pid 119 | 120 | # SageMath parsed files 121 | *.sage.py 122 | 123 | # Environments 124 | .env 125 | .venv 126 | env/ 127 | venv/ 128 | ENV/ 129 | env.bak/ 130 | venv.bak/ 131 | 132 | # Spyder project settings 133 | .spyderproject 134 | .spyproject 135 | 136 | # Rope project settings 137 | .ropeproject 138 | 139 | # mkdocs documentation 140 | /site 141 | 142 | # mypy 143 | .mypy_cache/ 144 | .dmypy.json 145 | dmypy.json 146 | 147 | # Pyre type checker 148 | .pyre/ 149 | 150 | # pytype static type analyzer 151 | .pytype/ 152 | 153 | # Cython debug symbols 154 | cython_debug/ 155 | 156 | 157 | # Vscode 158 | .vscode/ 159 | *.code-workspace 160 | 161 | 162 | # PyCharm 163 | # JetBrains specific template is maintained in a separate JetBrains.gitignore that can 164 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore 165 | # and can be added to the global gitignore or merged into this file. For a more nuclear 166 | # option (not recommended) you can uncomment the following to ignore the entire idea folder. 167 | #.idea/ -------------------------------------------------------------------------------- /templates/index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | SAFA 10 | 92 | 93 | 94 | 95 |
96 |

小白摸鱼神器

97 |
98 | 99 |
100 |
101 |

在一个月黑风高的夜晚...... 102 |

你的行长又打来了催命连环call,“你的调查报告到底写完了没有，刷个数据要这么半天吗？”

103 | 104 |

你看了看时间，已经刷了3个小时的剧，是该干点正事了...

105 |
106 | 107 |

第1步

108 |

把财务数据填到下载模板的【模板.xlsx】里面，记得按保存，不要改文件名。或者你可以先下载样品来看看

109 |
110 | 下载模板 111 | 下载样品 112 |
113 |

第2步

114 |

点下面的选择文件，把你填好的报表传上来上传报表

115 |
116 | 117 | 118 |
119 | 124 |

第3步

125 |

一手交钱，一手交货，点完生成报告后耐心等待10秒钟

126 |
127 | 生成报告 128 | 129 | 130 | 157 |
158 | 159 | 160 |
161 | 162 | 163 | 164 | 165 | -------------------------------------------------------------------------------- /templates/text.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | ReportGPT 11 | 169 | 170 | 171 | 172 |
173 |

金融小白摸鱼神器

174 |
175 | 176 |
177 |
178 |

在一个月黑风高的夜晚...... 179 |

你的行长又打来了催命连环call,“你的调查报告到底写完了没有，刷个数据要这么半天吗？”

180 | 181 |

你看了看时间，已经刷了3个小时的剧，是该干点正事了...

182 |
183 |

第1步

184 |

把财务数据填到的【模板.xlsx】里面，记得按保存，不要改文件名。或者你可以先来看看

185 |
186 | 187 | 188 |
189 |

第2步

190 |

点下面的，把你填好的报表传上来

191 |
192 | 193 | 194 |
195 | 196 | {% if success %} 197 |
198 | 上传成功！ 199 |
200 | {% endif %} 201 | 202 |

第3步

203 |

一手交钱，一手交货，点完后耐心等待10秒钟

204 |
205 | 206 |
207 |
208 | 209 | 210 | 211 | -------------------------------------------------------------------------------- /far/_formula.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | # -*- coding: utf-8 -*- 3 | #__author__:"watalo" 4 | # @Time: 2020/3/30 22:04 5 | # @Site : 6 | # @File : _formula.py 7 | # @Software: PyCharm 8 | 9 | from tinydb import Query 10 | 11 | def formula(db, year, findex): 12 | 13 | db.all() 14 | Q = Query() 15 | 16 | def divd_(year, a, b): 17 | ''' 18 | 除法计算 19 | @param year:明确数据是哪年的 20 | @param a: 浮点数,直接调用db中的数据/ 其他公式的计算结果 21 | @param b: 浮点数,直接调用db中的数据/ 其他公式的计算结果 22 | @return: 结果 23 | ''' 24 | if db.get(Q.items == a) in db.all(): 25 | if db.get(Q.items == b) in db.all(): 26 | return db.get(Q.items == a)[year] / db.get(Q.items == b)[year] 27 | else: 28 | return db.get(Q.items == a)[year] / b 29 | else: 30 | if db.get(Q.items == b) in db.all(): 31 | return a / db.get(Q.items == b)[year] 32 | else: 33 | if b == 0: 34 | return 0 35 | else: 36 | return a / b 37 | 38 | def plus_(year, a, b): 39 | if db.get(Q.items == a) in db.all(): 40 | if db.get(Q.items == b) in db.all(): 41 | return db.get(Q.items == a)[year] + db.get(Q.items == b)[year] 42 | else: 43 | return db.get(Q.items == a)[year] + b 44 | else: 45 | if db.get(Q.items == b) in db.all(): 46 | return a + db.get(Q.items == b)[year] 47 | else: 48 | return a + b 49 | 50 | def minu_(year, a, b): 51 | if db.get(Q.items == a) in db.all(): 52 | if db.get(Q.items == b) in db.all(): 53 | return db.get(Q.items == a)[year] - db.get(Q.items == b)[year] 54 | else: 55 | return db.get(Q.items == a)[year] - b 56 | else: 57 | if db.get(Q.items == b) in db.all(): 58 | return a - db.get(Q.items == b)[year] 59 | else: 60 | return a - b 61 | 62 | if findex == '资产负债率': 63 | return divd_(year, 64 | '负债合计', 65 | '资产总计' 66 | ) 67 | 68 | elif findex == '流动比率': 69 | return divd_(year, 70 | '流动资产合计', 71 | '流动负债合计' 72 | ) 73 | 74 | elif findex == '速动比率': 75 | return divd_(year, 76 | minu_(year, 77 | '流动资产合计', 78 | '存货' 79 | ), 80 | '流动负债合计' 81 | ) 82 | 83 | elif findex == 'EBIT': 84 | return plus_(year, 85 | plus_(year, 86 | '长期待摊费用', 87 | '财务费用' 88 | ), 89 | '利润总额') 90 | 91 | elif findex == '利息保障倍数': 92 | return divd_(year, 93 | plus_(year, 94 | plus_(year, 95 | '长期待摊费用', 96 | '财务费用'), 97 | '利润总额' 98 | ), 99 | '财务费用') 100 | 101 | elif findex == '营运资产': 102 | return plus_(year, 103 | plus_(year, 104 | '预付账款', 105 | '其他应收款' 106 | ), 107 | '其他流动资产' 108 | ) 109 | 110 | elif findex == '营运负债': 111 | return plus_(year, 112 | plus_(year, '预收账款', '应付账款'), 113 | plus_(year, '应付职工薪酬', '应交税费') 114 | ) 115 | 116 | elif findex == '营运资金需求': 117 | return minu_(year, 118 | plus_(year, 119 | plus_(year, '预付账款', '其他应收款'), '其他流动资产'), 120 | plus_(year, 121 | plus_(year, '预收账款', '应付账款'), 122 | plus_(year, '应付职工薪酬', '应交税费') 123 | ) 124 | ) 125 | 126 | elif findex == '营运资本': 127 | return minu_(year, '流动资产合计', '流动负债合计') 128 | 129 | elif findex == '存货周转天数': 130 | return 360 * divd_(year, 131 | '存货', 132 | '营业成本' 133 | ) 134 | 135 | elif findex == '应收账款周转天数': 136 | return 360 * divd_(year, 137 | '应收账款', 138 | '营业收入' 139 | ) 140 | 141 | elif findex == '毛利率': 142 | return divd_(year, 143 | '营业利润', 144 | '营业收入' 145 | ) 146 | 147 | elif findex == '净利润率': 148 | return divd_(year, 149 | '净利润', 150 | '营业收入' 151 | ) 152 | 153 | elif findex == '总资产收益率(ROA)': 154 | return divd_(year, 155 | '净利润', 156 | '资产总计' 157 | ) 158 | 159 | elif findex == '净资产收益率(ROE)': 160 | return divd_(year, 161 | '净利润', 162 | '所有者权益合计' 163 | ) 164 | 165 | elif findex == '短债占比': 166 | return divd_(year, 167 | '流动负债合计', 168 | '负债合计' 169 | ) 170 | 171 | elif findex == '刚性负债': 172 | return plus_(year, 173 | plus_(year, '短期借款', '一年内到期的非流动负债'), 174 | plus_(year, '长期借款', '应付债券',) 175 | ) 176 | 177 | elif findex == '刚兑占比': 178 | return divd_(year, 179 | plus_(year, 180 | plus_(year, '短期借款', '一年内到期的非流动负债'), 181 | plus_(year, '长期借款', '应付债券', ) 182 | ), 183 | '负债合计' 184 | ) 185 | 186 | elif findex == '短期刚兑': 187 | return plus_(year, 188 | '短期借款', 189 | '一年内到期的非流动负债' 190 | ) 191 | 192 | elif findex == '期间费用': 193 | return plus_(year, 194 | plus_(year, '销售费用', '研发费用'), 195 | plus_(year, '管理费用', '财务费用',) 196 | ) 197 | 198 | elif findex == '费用收入比': 199 | return divd_(year, 200 | plus_(year, 201 | plus_(year, '销售费用', '研发费用'), 202 | plus_(year, '管理费用', '财务费用', ) 203 | ), 204 | '营业收入' 205 | ) 206 | 207 | elif findex == '流动资产占比': 208 | return divd_(year, 209 | '流动资产合计', 210 | '资产总计' 211 | ) -------------------------------------------------------------------------------- /far/core.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # -*- coding:utf-8 -*- 3 | # author:Administrator 4 | # datetime:2020/2/20 20:21 5 | # software: PyCharm 6 | 7 | 8 | ''' 9 | 读取xlsx表的数据,形成数据库,形成分析报告Report类 10 | ''' 11 | import os 12 | from tinydb import TinyDB 13 | from tinydb import Query 14 | from openpyxl import load_workbook 15 | from . import _config, _formula 16 | 17 | 18 | class getDB(object): 19 | ''' 20 | 直接实例化后即可使用 21 | ''' 22 | def __init__(self, name): 23 | ''' 24 | getDB类的功能: 25 | 1、获取用户发送的数据文件(xlsx文件) 26 | 2、形成和调用过程数据库(json文件) 27 | 3、形成报告,需要导入(text和para模块) 28 | 属性: 29 | name:企业名称(xlsx文件名称),被index模块调用,index模块获取name传入 30 | 方法: 31 | xls_db(): 形成初始数据库 32 | :param name: 企业名称(xlsx文件名称) 33 | ''' 34 | self.name = name 35 | self.initPath() 36 | self.db = self.xlsx_db() 37 | self.table_without_nodata = self.db.table('without_nodata') 38 | self.table_for_print = self.db.table('for_print') 39 | self.initDB() 40 | 41 | def initPath(self): 42 | # xlsx文件名 43 | self.xls_file_name = f'{self.name}.xlsx' 44 | # xlsx文件根目录 45 | self.root_path = os.path.join(_config.ROOT_PATH, 'safa') 46 | # xlsx文件路径 47 | self.xls_file_path = os.path.join(_config.INPUT_PATH, f'{self.name}.xlsx') 48 | # 读取xlsx文件 49 | self.ws = load_workbook( 50 | filename=self.xls_file_path, 51 | data_only=True)["Sheet1"] 52 | 53 | def initDB(self): 54 | ''' 55 | 还需要对for_print表进行初始化 56 | :return: 57 | ''' 58 | self.__remove_zore_year() 59 | self.calc_f_index('without_nodata') 60 | self.calc_m_index('without_nodata') 61 | self.calc_f_index('for_print') 62 | # self.calc_m_index('for_print') 63 | self.__remove_zore_item() 64 | 65 | def xlsx_db(self): 66 | ''' 67 | 数据读取/存储 68 | :param output: xlsx文件数据形成tinydb数据库对象 69 | :return: tinydb数据库对象 70 | ''' 71 | self.db_path = os.path.join(_config.DB_PATH, f'{self.name}.json') 72 | db = TinyDB(self.db_path) 73 | # 清洗数据中因复制粘贴带有的‘\u202c’和数字中含有‘,’的问题 74 | def clear_data(data): 75 | if isinstance(data, str): 76 | data = data.replace('\u202c', '').replace(',', '') 77 | # ['前3年','前2年','前1年','当期']: 78 | if data in ['前3年', '前2年', '前1年', '当期']: 79 | return data 80 | else: 81 | return float(data) 82 | else: 83 | return data 84 | # 写入数据库 85 | for row in self.ws.iter_rows(min_row=1, 86 | max_col=self.ws.max_column, 87 | max_row=self.ws.max_row 88 | ): 89 | for cell in row: 90 | if cell.value is None or cell.value == ' ' or cell.value == '-': 91 | cell.value = 0 92 | db.insert({ 93 | 'items': row[0].value.strip(), 94 | 'year3': clear_data(row[1].value), 95 | 'year2': clear_data(row[2].value), 96 | 'year1': clear_data(row[3].value), 97 | 'month': clear_data(row[4].value), 98 | }) 99 | return db 100 | 101 | def check_complete(self): 102 | """ 103 | 判断原始数据库db中,没有数据的年份或月份 104 | :param db: 原始数据库,tinydb类 105 | :return: 无数据年份列表 106 | """ 107 | def get_data(db, a, b): 108 | return db.get(Q.items == a)[b] 109 | self.db.all() 110 | Q = Query() 111 | nodata_years_list = [] 112 | for year in ['year3', 'year2', 'year1', 'month']: 113 | if get_data(self.db, '资产总计', year) == 0 and \ 114 | get_data(self.db, '负债合计', year) == 0 and \ 115 | get_data(self.db, '所有者权益合计', year) == 0: 116 | nodata_years_list.append(year) 117 | else: 118 | pass 119 | return nodata_years_list 120 | 121 | def __remove_zore_year(self): 122 | ''' 123 | 前置步骤: 124 | cal_f_index() ---> table('without_nodata') 125 | 清除无数据年份 126 | row_dict类型为字典,删除无数据年份对应的键值对 127 | ''' 128 | table_w = self.db.table('without_nodata') 129 | table_p = self.db.table('for_print') 130 | row_dict = self.db.all() 131 | for row in row_dict: 132 | for year in self.check_complete(): 133 | del row[year] 134 | table_w.insert(row) 135 | table_p.insert(row) 136 | 137 | def __remove_zore_item(self): 138 | ''' 139 | 仅对table_for_print使用 140 | :return: 141 | ''' 142 | Q = Query() 143 | self.table_for_print.remove(Q.year3 == 0 and 144 | Q.year2 == 0 and 145 | Q.year1 == 0 and 146 | Q.month == 0) 147 | 148 | def calc_f_index(self, table_name): 149 | """ 150 | '''纵向扩展 使用insert''' 151 | 1、根据同年数据计算财务指标 152 | 2、存货周转天数、应收账款周转天数 应使用前值与当前值的均值,暂未处理 153 | 3、指标增加需在 154 | (1)index_list中新增指标名称, 155 | (2)__formula模块中新增指标计算公式 156 | :param table: tinydb.table类实例 157 | :return: tinydb.table类实例 158 | """ 159 | table = self.db.table(table_name) 160 | table_ = table.all() 161 | # Q = Query() 162 | index_list = [ 163 | '资产负债率', '流动比率', '速动比率', 'EBIT', '利息保障倍数', # 偿债能力指标 164 | '营运资产', '营运负债', '营运资金需求', '营运资本', '存货周转天数', '应收账款周转天数', # 营运能力指标 165 | '毛利率', '净利润率', '总资产收益率(ROA)', '净资产收益率(ROE)', # 盈利能力指标 166 | '短债占比', '刚性负债', '刚兑占比', '短期刚兑', '期间费用', '费用收入比', '流动资产占比', # 报告需要数据 167 | ] 168 | years = [ 169 | 'year3', 'year2', 'year1', 'month' 170 | ] 171 | exsit_data_list = [] 172 | for year in years: 173 | if year in table_[2].keys(): 174 | exsit_data_list.append(year) 175 | 176 | for index in index_list: 177 | index_dict = {} 178 | index_dict.setdefault('items', index) 179 | for i in exsit_data_list: 180 | index_dict.setdefault(i, _formula.formula(table, i, index)) 181 | table.insert(index_dict) 182 | 183 | # return table 184 | 185 | def calc_m_index(self, table_name): 186 | """ 187 | '''横向扩展,使用update''' 188 | 1、增加平均值、求和数、增长率、平均增长率 189 | 2、科目进行分类,更新type标签 190 | @param table:xlsx转换的tinydb里的table类 191 | @return: 格式化的数据 192 | """ 193 | table = self.db.table(table_name) 194 | table.all() 195 | Q = Query() 196 | 197 | # 平均值、求和数、增长率、平均增长率 198 | for row_dict in table.all(): 199 | if row_dict['items'] == '项目': 200 | pass 201 | else: 202 | # 累积值求和 203 | sum = 0 204 | exsit_data_list = [] 205 | for year in ['year3', 'year2', 'year1', 'month']: 206 | if year in row_dict.keys(): 207 | sum += row_dict[year] 208 | exsit_data_list.append(row_dict[year]) 209 | # 平均值 210 | averg = sum / len(exsit_data_list) 211 | # 当期比前值的变化 212 | if len(exsit_data_list) >= 2: 213 | delta = exsit_data_list[-1] - exsit_data_list[-2] 214 | else: 215 | delta = exsit_data_list[-1] 216 | # 当期比前值的变化幅度 217 | if exsit_data_list[-2] == 0: 218 | ratio = '净新增' 219 | else: 220 | ratio = delta / exsit_data_list[-2] 221 | 222 | table.update( 223 | { 224 | 'averg': averg, 225 | 'sum': sum, 226 | 'ratio': ratio, 227 | 'delta': delta, 228 | }, 229 | Q.items == row_dict['items'] 230 | ) 231 | # 分类标签 232 | type = [ 233 | '流动资产', '非流动资产', '流动负债', '非流动负债', '权益', '利润表', '现金流量', '财务指标', 234 | ] # 数据类型列表 235 | li_a = [ 236 | '货币资金', '交易性金融资产', '衍生金融资产 ', '应收票据', '应收账款', '应收款项融资 ', '预付账款', 237 | '其他应收款', '存货', '合同资产', '持有待售资产', '一年到期的非流动资产', '其他流动资产', 238 | ] # 流动资产科目 239 | fi_a = [ 240 | '债权投资', '其他债权投资', '长期应收款', '长期股权投资', '其他权益工具投资', '其他非流动金融资产', 241 | '投资性房地产', '固定资产', '在建工程', '生产性生物资产', '油气资产', '使用权资产', '无形资产', 242 | '开发支出', '商誉', '长期待摊费用', '递延所得税资产', '其他非流动资产', 243 | ] # 非流动资产科目 244 | li_d = [ 245 | '短期借款', '交易性金融负债', '衍生金融负债', '应付票据', '应付账款', '预收账款', '合同负债', 246 | '应付职工薪酬','应交税费', '其他应付款', '持有待售负债', '一年内到期的非流动负债', '其他流动负债', 247 | ] # 流动负债科目 248 | fi_d = [ 249 | '长期借款', '应付债券', '租赁负债', '长期应付款', '预计负债', '递延收益', '递延所得税负债', '其他非流动负债', 250 | ] # 非流动负债科目 251 | equi = [ 252 | '实收资本', '其他权益工具', '资本公积', '其他综合收益', '专项储备', '盈余公积', '未分配利润', 253 | ] # 所有者权益科目 254 | reve = [ 255 | '营业收入', '营业成本', '税金及附加', '销售费用', '管理费用', '研发费用', '财务费用', '投资收益', 256 | '净敞口套期收益', '公允价值变动收益', '信用减值损失', '资产减值损失', '资产处置收益', '营业利润', 257 | '营业外收入', '营业外支出', '利润总额', '所得税费用', '净利润', 258 | ] # 利润表科目 259 | csfl = [ 260 | '经营活动现金流入', '销售带来的现金流入', '经营活动现金流出', '经营活动净现金流', 261 | '投资活动现金流入', '投资活动现金流出', '投资活动现金净流', 262 | '筹资活动现金流入', '筹资活动现金流出', '筹资活动现金净流入', '现金净流入', 263 | ] # 现金流量表科目 264 | inde = [ 265 | '资产负债率', '流动比率', '速动比率', 'EBIT', '利息保障倍数', 266 | '营运资产', '营运负债', '营运资金需求', '营运资本', '存货周转天数', '应收账款周转天数', 267 | '毛利率', '净利润率', '总资产收益率(ROA)', '净资产收益率(ROE)', 268 | ] # 财务指标列表 269 | type_list = [li_a, fi_a, li_d, fi_d, equi, reve, csfl, inde] 270 | for ty in type_list: 271 | for it in ty: 272 | for i in range(len(type_list)): 273 | if it in type_list[i]: 274 | table.update({'type': type[i]}, Q.items == str(it)) 275 | return table 276 | 277 | def clear_all_data(self): 278 | self.db.purge() 279 | 280 | -------------------------------------------------------------------------------- /far/_text.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | # -*- coding: utf-8 -*- 3 | # __author__:"watalo" 4 | # @Time: 2020/3/19 0:33 5 | # @Site : 6 | # @File : _text.py 7 | # @Software: PyCharm 8 | ''' 9 | 使用self.normal.s2d1.format(**self.normal.s2d1_dict)给模版传入数据 10 | 财务分析的文字模版 11 | 1.数据完整: normal 12 | 2. 缺少第一年数据 no_year3 13 | 3. 缺少第二年数据 no_year2 14 | 4. 缺少第三年数据 no_year1 15 | 5. 当期为年末数据 all_years 16 | ''' 17 | 18 | class normal: 19 | 20 | def __init__(self): 21 | self.table1 = None 22 | # 1、审计情况分析 23 | self.s1d1 = \ 24 | "【XXX会计师事务所】对申请人前三年的财务数据出具了编号为【】、【】、【】的审计报告，均出具了无保留意见。" \ 25 | "其中，【年】对【科目】进行了如下调整：【请仔细阅读审计报告后填写】。" 26 | # 2、资本结构 27 | self.s2d1 = \ 28 | "申请人近三年及最近一期的" \ 29 | "总资产分别为{总资产3:,.2f}万元、{总资产2:,.2f}万元、{总资产1:,.2f}万元和{总资产m:,.2f}万元；" \ 30 | "总负债分别为{总负债3:,.2f}万元、{总负债2:,.2f}万元、{总负债1:,.2f}万元和{总负债m:,.2f}万元；" \ 31 | "资产负债率分别为{资产负债率3:.2%}、{资产负债率2:.2%}、{资产负债率1:.2%}和{资产负债率m:.2%}。" \ 32 | "整体来看，申请人资产负债率{分析s2d1}" # 13个变量 33 | 34 | self.s2d2 = \ 35 | '从债务期限结构看，申请人债务{分析s2d2}，' \ 36 | '流动负债分别为{流动负债3:,.2f}万元、{流动负债2:,.2f}万元、{流动负债1:,.2f}万元和{流动负债m:,.2f}万元，' \ 37 | '短期负债占比分别为{短债占比3:.2%}、{短债占比2:.2%}、{短债占比1:.2%}和{短债占比m:.2%}。' \ 38 | '刚性负债(短期借款+一年内到期的长期负债+应付债券+长期借款)分别为{刚性负债3:,.2f}万元、{刚性负债2:,.2f}万元、{刚性负债1:,.2f}万元和{刚性负债m:,.2f}万元。' \ 39 | '刚性负债占比分别为{刚性兑付占比3:.2%}、{刚性兑付占比2:.2%}、{刚性兑付占比1:.2%}和{刚性兑付占比m:.2%}。' \ 40 | '短期内需要刚性兑付的债务为{短期刚兑m:,.2f}万元，主要为短期借款{短期借款m:,.2f}万元，一年内到期的非流动负债{一年内非流m:,.2f}万元。' \ 41 | #'总体来看，公司刚性债务带来的偿债压力【较大\在合理范围内\较小，根据实际情况自行评价】。' # 21个变量 42 | 43 | # 3、盈利能力 44 | self.s2d3 = \ 45 | "申请人{分析s2d3}，前三年分别实现营业收入{营业收入3:,.2f}万元、{营业收入2:,.2f}万元和{营业收入1:,.2f}万元，" \ 46 | "营业成本{营业成本3:,.2f}万元、{营业成本2:,.2f}万元和{营业成本1:,.2f}万元，毛利率分别为{毛利率3:.2%}、{毛利率2:.2%}和{毛利率1:.2%}，" \ 47 | "期间费用分别为{期间费用3:,.2f}万元、{期间费用2:,.2f}万元和{期间费用1:,.2f}万元，费用收入比分别为{费用收入比3:.2%}、{费用收入比2:.2%}和{费用收入比1:.2%}，" \ 48 | "实现净利润{净利润3:,.2f}万元、{净利润2:,.2f}万元和{净利润1:,.2f}万元，净利润率分别为{净利润率3:.2%}、{净利润率2:.2%}和{净利润率1:.2%}。" \ 49 | "最近一期，申请人实现营业收入{营业收入m:,.2f}万元，营业成本{营业成本m:,.2f}万元，毛利率{毛利率m:.2%}，" \ 50 | "期间费用合计{期间费用m:,.2f}万元，投资收益{投资收益m:,.2f}万元，净利润率{净利润率m:.2%}。" \ 51 | #"总体来看，申请人盈利能力【相对较好/稳定/较弱，根据实际情况自行评价】" # 28个变量 52 | 53 | # 4、现金流量 54 | self.s2d4 = \ 55 | "申请人前三年分别实现净现金流入{净现金流入3:,.2f}万元、{净现金流入2:,.2f}万元和{净现金流入1:,.2f}万元。其中：" \ 56 | "经营活动现金净流入{经营活动现金净流入3:,.2f}万元、{经营活动现金净流入2:,.2f}万元和{经营活动现金净流入1:,.2f}万元；" \ 57 | "投资活动现金净流入{投资活动现金净流入3:,.2f}万元、{投资活动现金净流入2:,.2f}万元和{投资活动现金净流入1:,.2f}万元；" \ 58 | "筹资活动现金净流入{筹资活动现金净流入3:,.2f}万元、{筹资活动现金净流入2:,.2f}万元和{筹资活动现金净流入1:,.2f}万元。" \ 59 | #"总体来看，申请人盈利能力【请根据实际情况自行评价】" # 16个变量 60 | 61 | # 5、资产质量 62 | self.s2d5 = \ 63 | "申请人近三年流动资产分别为{流动资产3:,.2f}万元、{流动资产2:,.2f}万元、{流动资产1:,.2f}万元和{流动资产m:,.2f}万元，" \ 64 | "在总资产构成中流动资产占比分别{流动资产占比3:.2%}、{流动资产占比2:.2%}、{流动资产占比1:.2%}和{流动资产占比m:.2%}。"\ 65 | "上年末，主要资产构成为{分析s2d5}。" 66 | # "【请根据实际情况自行评价】。" # 9个变量 67 | 68 | # 6、流动性分析 69 | self.s2d6 = \ 70 | "申请人近三年及最近一期流动比率分别为{流动比率3:.2f}、{流动比率2:.2f}、{流动比率1:.2f}和{流动比率m:.2f}，三年平均值为{流动比率av:.2f}，" \ 71 | "较年初变化{流动比率delta:.2f}；" \ 72 | "申请人近三年及最近一期速动比率分别为{速动比率3:.2f}、{速动比率2:.2f}、{速动比率1:.2f}和{速动比率m:.2f}，三年平均值为{速动比率av:.2f}，" \ 73 | "较年初变化{速动比率delta:.2f}。" 74 | # "【请根据实际情况自行评价】。" # 12个变量 75 | 76 | # 7、当期科目变化情况（变化超过30%） 77 | # 直接在core中调用 78 | 79 | class no_year3: 80 | def __init__(self): 81 | self.table1 =float() 82 | # 1、审计情况分析 83 | self.s1d1 = \ 84 | "【XXX会计师事务所】对申请人前三年的财务数据出具了编号为【】、【】的审计报告，均出具了无保留意见。" \ 85 | "其中，【年】对【科目 】进行了如下调整：【请仔细阅读审计报告后填写】。" 86 | # 2、资本结构 87 | self.s2d1 = \ 88 | "申请人近两年及最近一期的" \ 89 | "总资产分别为{总资产2:,.2f}万元、{总资产1:,.2f}万元和{总资产m:,.2f}万元；" \ 90 | "总负债分别为{总负债2:,.2f}万元、{总负债1:,.2f}万元和{总负债m:,.2f}万元；" \ 91 | "资产负债率分别为{资产负债率2:.2%}、{资产负债率1:.2%}和{资产负债率m:.2%}。" \ 92 | "整体来看，申请人资产负债率{分析s2d1}" # 10个变量 93 | 94 | self.s2d2 = \ 95 | "从债务期限结构看，申请人债务{分析s2d2}，" \ 96 | "流动负债分别为{流动负债2:,.2f}万元、{流动负债1:,.2f}万元和{流动负债m:,.2f}万元，" \ 97 | "短期负债占比分别为{短债占比2:.2%}、{短债占比1:.2%}和{短债占比m:.2%}。" \ 98 | "刚性负债(短期借款+一年内到期的长期负债+应付债券+长期借款)分别为{刚性负债2:,.2f}、{刚性负债1:,.2f}和{刚性负债m:,.2f}," \ 99 | "刚性负债占比分别为{刚性兑付占比2:.2%}、{刚性兑付占比1:.2%}和{刚性兑付占比m:.2%}。" \ 100 | "短期内需要刚性兑付的债务为{短期刚兑m:.2f}万元，主要为短期借款{短期借款m:,.2f}万元，一年内到期的非流动负债{一年内非流m:,.2f}万元。" 101 | #"总体来看，公司刚性债务带来的偿债压力【较大\在合理范围内\较小，根据实际情况自行评价】。" # 16个变量 102 | 103 | # 3、盈利能力 104 | self.s2d3 = \ 105 | "申请人前两年分别实现营业收入{营业收入2:,.2f}万元和{营业收入1:,.2f}万元，{分析s2d3}。" \ 106 | "营业成本{营业成本2}万元和{营业成本1:,.2f}万元，毛利率分别为{毛利率2:.2%}和{毛利率1:.2%}，" \ 107 | "期间费用分别为{期间费用2:,.2f}万元和{期间费用1:,.2f}万元，费用收入比分别为{费用收入比2:.2%}和{费用收入比1:.2%}，" \ 108 | "实现净利润{净利润2:,.2f}万元和{净利润1:,.2f}万元，净利润率分别为{净利润率2:.2%}和{净利润率1:.2%}。" \ 109 | "最近一期，申请人实现营业收入{营业收入m:,.2f}万元，营业成本{营业成本m:,.2f}万元，毛利率{毛利率m:.2%}，" \ 110 | "期间费用合计{期间费用m:,.2f}万元，投资收益{投资收益m:,.2f}万元，净利润率{净利润率m:.2%}。" 111 | #"总体来看，申请人盈利能力【相对较好/稳定/较弱，根据实际情况自行评价】" # 21个变量 112 | 113 | # 4、现金流量 114 | self.s2d4 = \ 115 | "申请人前两年分别实现净现金流入{净现金流入2:,.2f}万元和{净现金流入1:,.2f}万元。其中：" \ 116 | "经营活动现金净流入{经营活动现金净流入2:,.2f}万元和{经营活动现金净流入1:,.2f}万元；" \ 117 | "投资活动现金净流入{投资活动现金净流入2:,.2f}万元和{投资活动现金净流入1:,.2f}万元；" \ 118 | "筹资活动现金净流入{筹资活动现金净流入2:,.2f}万元和{筹资活动现金净流入1:,.2f}万元。" \ 119 | #"总体来看，申请人盈利能力【请根据实际情况自行评价】" # 16个变量 120 | 121 | # 5、资产质量 122 | self.s2d5 = \ 123 | "申请人近两年流动资产分别为{流动资产2:,.2f}万元、{流动资产1:,.2f}万元和{流动资产m:,.2f}万元，" \ 124 | "在总资产构成中流动资产占比分别{流动资产占比2:.2%}、{流动资产占比1:.2%}和{流动资产占比m:.2%}，【>>>简要分析<<<】。" \ 125 | "上年末，主要资产构成为{分析s2d5}。" 126 | # ”【请根据实际情况自行评价】。" # 9个变量 127 | 128 | # 6、流动性分析 129 | self.s2d6 = \ 130 | "申请人近两年及最近一期流动比率分别为{流动比率2:.2f}、{流动比率1:.2f}和{流动比率m:.2f}，平均值为{流动比率av:.2f}，" \ 131 | "较年初变化{流动比率delta:.2f}；" \ 132 | "申请人近两年及最近一期速动比率分别为{速动比率2:.2f}、{速动比率1:.2f}和{速动比率m:.2f}，平均值为{速动比率av:.2f}，" \ 133 | "较年初变化{速动比率delta:.2f}。" 134 | #"【请根据实际情况自行评价】。" # 12个变量 135 | 136 | # 7、当期科目变化情况（变化超过30%） 137 | # 直接在core中调用 138 | 139 | class no_year2: 140 | def __init__(self): 141 | self.table1 =float() 142 | # 1、审计情况分析 143 | self.s1d1 = \ 144 | "【XXX会计师事务所】出具了编号为【】的无保留意见的审计报告。" \ 145 | "其中，【年】对【科目 】进行了如下调整：【请仔细阅读审计报告后填写】。" 146 | # 2、资本结构 147 | self.s2d1 = \ 148 | "申请人上一年及最近一期的" \ 149 | "总资产分别为{总资产1:,.2f}万元和{总资产m:,.2f}万元；" \ 150 | "总负债分别为{总负债1:,.2f}万元和{总负债m:,.2f}万元；" \ 151 | "资产负债率分别为{资产负债率1:.2%}和{资产负债率m:.2%}。" \ 152 | "整体来看，申请人资产负债率{分析s2d1}" # 7个变量 153 | 154 | self.s2d2 = \ 155 | "从债务期限结构看，申请人债务{分析s2d2}，" \ 156 | "流动负债分别为{流动负债1:,.2f}万元和{流动负债m:,.2f}万元，" \ 157 | "短期负债占比分别为{短债占比1:.2%}和{短债占比m:.2%}。" \ 158 | "刚性负债(短期借款+一年内到期的长期负债+应付债券+长期借款)分别为{刚性负债1:,.2f}和{刚性负债m:,.2f}," \ 159 | "刚性负债占比分别为{刚性兑付占比1:.2%}和{刚性兑付占比m:.2%}。" \ 160 | "短期内需要刚性兑付的债务为{短期刚兑m:,.2f}万元，主要为短期借款{短期借款m:,.2f}万元，一年内到期的非流动负债{一年内非流m:,.2f}万元。" \ 161 | # "总体来看，公司刚性债务带来的偿债压力【较大\在合理范围内\较小，根据实际情况自行评价】。" # 12个变量 162 | 163 | # 3、盈利能力 164 | self.s2d3 = \ 165 | "申请人上一年实现营业收入{营业收入1:,.2f}万元，{营业成本1:,.2f}万元，毛利率{毛利率1:,.2%}，" \ 166 | "期间费用分别为{期间费用1:,.2f}万元，费用收入比分别为{费用收入比1:,.2f}万元，" \ 167 | "实现净利润{净利润1:,.2f}万元，净利润率{净利润率1:.2%}。" \ 168 | "最近一期，申请人实现营业收入{营业收入m:,.2f}万元，营业成本{营业成本m:,.2f}万元，毛利率{毛利率m:.2%}，" \ 169 | "期间费用合计{期间费用m:,.2f}万元，投资收益{投资收益m:,.2f}万元，净利润率{净利润率m:.2%}。" \ 170 | #"总体来看，申请人盈利能力【相对较好/稳定/较弱，根据实际情况自行评价】" # 13个变量 171 | 172 | # 4、现金流量 173 | self.s2d4 = \ 174 | "申请人上一年实现净现金流入{净现金流入1:,.2f}万元，其中：" \ 175 | "经营活动现金净流入{经营活动现金净流入1:,.2f}万元，" \ 176 | "投资活动现金净流入{投资活动现金净流入1:,.2f}万元，" \ 177 | "筹资活动现金净流入{筹资活动现金净流入1:,.2f}万元，。" \ 178 | "最近一期实现净现金流入{净现金流入m:,.2f}万元，其中：" \ 179 | "经营活动现金净流入{经营活动现金净流入m:,.2f}万元，" \ 180 | "投资活动现金净流入{投资活动现金净流入m:,.2f}万元，" \ 181 | "筹资活动现金净流入{筹资活动现金净流入m:,.2f}万元，。" \ 182 | #"总体来看，申请人盈利能力【请根据实际情况自行评价】" # 8个变量 183 | 184 | # 5、资产质量 185 | self.s2d5 = \ 186 | "申请人上一年流动资产分别为{流动资产1:,.2f}万元和{流动资产m:,.2f}万元，在总资产中流动资产占比分别{流动资产占比1:.2%}和{流动资产占比m:.2%}，" \ 187 | "【>>>简要分析<<<】。上年末，主要资产构成为{分析s2d5}。" 188 | # "【请根据实际情况自行评价】。" # 5个变量 189 | 190 | # 6、流动性分析 191 | self.s2d6 = \ 192 | "申请人上一年及最近一期流动比率分别为{流动比率1:.2f}和{流动比率m:.2f}，较年初变化{流动比率delta:.2f}；" \ 193 | "申请人上一年及最近一期速动比率分别为{速动比率1:.2f}和{速动比率m:.2f}，较年初变化{速动比率delta:.2f}。" \ 194 | #"【请根据实际情况自行评价】。" # 6个变量 195 | 196 | # 7、当期科目变化情况（变化超过30%） 197 | # 直接在core中调用 198 | 199 | class no_year1: 200 | def __init__(self): 201 | self.table1 =float() 202 | # 1、审计情况分析 203 | self.s1d1 = \ 204 | "申请人成立不足一年，无审计报告。仅针对现有数据进行分析。" 205 | # 2、资本结构 206 | self.s2d1 = \ 207 | "申请人目前总资产为{总资产m:,.2f}万元，总负债为{总负债m:,.2f}万元，资产负债率分别为{资产负债率m:.2%}。" \ 208 | "整体来看，申请人资产负债率{分析s2d1}" # 13个变量 209 | 210 | self.s2d2 = \ 211 | "从债务期限结构看，申请人债务{分析s2d2}，" \ 212 | "流动负债为{流动负债m:,.2f}万元，" \ 213 | "短期负债占比为{短债占比m:,.2f}。" \ 214 | "刚性负债(短期借款+一年内到期的长期负债+应付债券+长期借款)为{刚性负债m:,.2f}," \ 215 | "刚性负债占比分别为{刚性兑付占比m:,.2f}。" \ 216 | "短期内需要刚性兑付的债务为{短期刚兑m:,.2f}万元，主要为短期借款{短期借款m:,.2f}万元，一年内到期的非流动负债{一年内非流m:,.2f}万元。" \ 217 | #"总体来看，公司刚性债务带来的偿债压力【较大\在合理范围内\较小，根据实际情况自行评价】。" # 21个变量 218 | 219 | # 3、盈利能力 220 | self.s2d3 = \ 221 | "最近一期，申请人实现营业收入{营业收入m:,.2f}万元，营业成本{营业成本m:,.2f}万元，毛利率{毛利率m:.2%}，" \ 222 | "期间费用合计{期间费用m:,.2f}万元，投资收益{投资收益m:,.2f}万元，净利润率{净利润率m:.2%}。" \ 223 | #"总体来看，申请人盈利能力【相对较好/稳定/较弱，根据实际情况自行评价】" # 28个变量 224 | 225 | # 4、现金流量 226 | self.s2d4 = \ 227 | "最近一期实现净现金流入{净现金流入m:,.2f}万元，其中：" \ 228 | "经营活动现金净流入{经营活动现金净流入m:,.2f}万元，" \ 229 | "投资活动现金净流入{投资活动现金净流入m:,.2f}万元，" \ 230 | "筹资活动现金净流入{筹资活动现金净流入m:,.2f}万元。" \ 231 | #"总体来看，申请人盈利能力【请根据实际情况自行评价】" # 4个变量 232 | 233 | # 5、资产质量 234 | self.s2d5 = \ 235 | "申请人流动资产为{流动资产m:,.2f}万元，在总资产中流动资产占比{流动资产占比m:.2%}，【>>>简要分析<<<】。" \ 236 | "主要资产构成为{分析s2d5}。" 237 | #【请根据实际情况自行评价】。" # 9个变量 238 | 239 | # 6、流动性分析 240 | self.s2d6 = \ 241 | "申请人最近一期流动比率为{流动比率m:.2f}，较年初变化{流动比率delta:.2f}；" \ 242 | "申请人最近一期速动比率为{速动比率m:.2f}，较年初变化{速动比率delta:.2f}。" \ 243 | #"【请根据实际情况自行评价】。" # 12个变量 244 | 245 | # 7、当期科目变化情况（变化超过30%） 246 | # 直接在core中调用 247 | 248 | class all_years: 249 | def __init__(self): 250 | self.table1 =float() 251 | # 1、审计情况分析 252 | self.s1d1 = \ 253 | "【XXX会计师事务所】对申请人前三年的财务数据出具了编号为【】、【】、【】的审计报告，均出具了无保留意见。" \ 254 | "其中，【年】对【科目 】进行了如下调整：【请仔细阅读审计报告后填写】。" 255 | # 2、资本结构 256 | self.s2d1 = \ 257 | "申请人近三年的" \ 258 | "总资产分别为{总资产3:,.2f}万元、{总资产2:,.2f}万元和{总资产1:,.2f}万元；" \ 259 | "总负债分别为{总负债3:,.2f}万元、{总负债2:,.2f}万元和{总负债1:,.2f}万元；" \ 260 | "资产负债率分别为{资产负债率3:.2%}、{资产负债率2:.2%}和{资产负债率1:.2%}。" \ 261 | "整体来看，申请人资产负债率{分析s2d1}" # 10个变量 262 | 263 | self.s2d2 = \ 264 | "从债务期限结构看，申请人债务{分析s2d2}" \ 265 | "流动负债分别为{流动负债3:,.2f}万元、{流动负债2:,.2f}万元和{流动负债1:,.2f}万元，" \ 266 | "短期负债占比分别为{短债占比3:.2%}、{短债占比2:.2%}和{短债占比1:.2%}。" \ 267 | "刚性负债(短期借款+一年内到期的长期负债+应付债券+长期借款)分别为{刚性负债3:,.2f}万元、{刚性负债2:,.2f}万元和{刚性负债1:,.2f}万元," \ 268 | "刚性负债占比分别为{刚性兑付占比3:.2%}、{刚性兑付占比2:.2%}和{刚性兑付占比1:.2%}。" \ 269 | "短期内需要刚性兑付的债务为{短期刚兑1:,.2f}万元，主要为短期借款{短期借款1:,.2f}万元，一年内到期的非流动负债{一年内非流1:,.2f}万元。" \ 270 | #"总体来看，公司刚性债务带来的偿债压力【较大\在合理范围内\较小，根据实际情况自行评价】。" # 21个变量 271 | 272 | # 3、盈利能力 273 | self.s2d3 = \ 274 | "申请人前三年分别实现营业收入{营业收入3:,.2f}万元、{营业收入2:,.2f}万元和{营业收入1:,.2f}万元，{分析s2d3}。" \ 275 | "营业成本{营业成本3:,.2f}万元、{营业成本2:,.2f}万元和{营业成本1:,.2f}万元，毛利率分别为{毛利率3:.2%}、{毛利率2:.2%}和{毛利率1:.2%}，" \ 276 | "期间费用分别为{期间费用3:,.2f}万元、{期间费用2:,.2f}万元和{期间费用1:,.2f}万元，费用收入比分别为{费用收入比3:.2%}、{费用收入比2:.2%}和{费用收入比1:.2%}，" \ 277 | "实现净利润{净利润3:,.2f}万元、{净利润2:,.2f}万元和{净利润1:,.2f}万元，净利润率分别为{净利润率3:.2%}、{净利润率2:.2%}和{净利润率1:.2%}，" \ 278 | #"总体来看，申请人盈利能力【相对较好/稳定/较弱，根据实际情况自行评价】" # 28个变量 279 | 280 | # 4、现金流量 281 | self.s2d4 = \ 282 | "申请人前三年分别实现净现金流入{净现金流入3:,.2f}万元、{净现金流入2:,.2f}万元和{净现金流入1:,.2f}万元。其中：" \ 283 | "经营活动现金净流入{经营活动现金净流入3:,.2f}万元、{经营活动现金净流入2:,.2f}万元和{经营活动现金净流入1:,.2f}万元；" \ 284 | "投资活动现金净流入{投资活动现金净流入3:,.2f}万元、{投资活动现金净流入2:,.2f}万元和{投资活动现金净流入1:,.2f}万元；" \ 285 | "筹资活动现金净流入{筹资活动现金净流入3:,.2f}万元、{筹资活动现金净流入2:,.2f}万元和{筹资活动现金净流入1:,.2f}万元。" \ 286 | #"总体来看，申请人盈利能力【请根据实际情况自行评价】" # 16个变量 287 | 288 | # 5、资产质量 289 | self.s2d5 = \ 290 | "申请人近三年流动资产分别为{流动资产3:,.2f}万元、{流动资产2:,.2f}万元和{流动资产1:,.2f}万元，" \ 291 | "在总资产构成中流动资产占比分别{流动资产占比3:.2%}、{流动资产占比2:.2%}和{流动资产占比1:.2%}，【>>>简要分析<<<】。" \ 292 | "上年末，主要资产构成为{分析s2d5}。" 293 | #"【请根据实际情况自行评价】。" # 9个变量 294 | 295 | # 6、流动性分析 296 | self.s2d6 = \ 297 | "申请人近三年流动比率分别为{流动比率3:.2f}、{流动比率2:.2f}和{流动比率1:.2f}，三年平均值为{流动比率av:.2f}，" \ 298 | "较年初变化{流动比率delta:.2f}；" \ 299 | "申请人近三年速动比率分别为{速动比率3:.2%}、{速动比率2:.2%}和{速动比率1:.2%}，三年平均值为{速动比率av:.2%}，" \ 300 | "较年初变化{速动比率delta:.2f}。" \ 301 | #"【请根据实际情况自行评价】。" # 12个变量 302 | 303 | # 7、当期科目变化情况（变化超过30%） 304 | # 直接在core中调用 305 | 306 | class two_years: 307 | def __init__(self): 308 | self.table1 =float() 309 | # 1、审计情况分析 310 | self.s1d1 = \ 311 | "【XXX会计师事务所】对申请人前两年的财务数据出具了编号为【】、【】的审计报告，均出具了无保留意见。" \ 312 | "其中，【年】对【科目 】进行了如下调整：【请仔细阅读审计报告后填写】。" 313 | # 2、资本结构 314 | self.s2d1 = \ 315 | "申请人近两年的" \ 316 | "总资产分别为{总资产2:,.2f}万元和{总资产1:,.2f}万元；" \ 317 | "总负债分别为{总负债2:,.2f}万元和{总负债1:,.2f}万元；" \ 318 | "资产负债率分别为{资产负债率2:.2%}和{资产负债率1:.2%}。" \ 319 | "整体来看，申请人资产负债率{分析s2d1}" # 10个变量 320 | 321 | self.s2d2 = \ 322 | "从债务期限结构看，申请人债务{分析s2d2}" \ 323 | "流动负债分别为{流动负债2:,.2f}万元和{流动负债1:,.2f}万元，" \ 324 | "短期负债占比分别为{短债占比2:.2%}和{短债占比1:.2%}。" \ 325 | "刚性负债(短期借款+一年内到期的长期负债+应付债券+长期借款)分别为{刚性负债2:,.2f}万元和{刚性负债1:,.2f}万元," \ 326 | "刚性负债占比分别为{刚性兑付占比2:.2%}和{刚性兑付占比1:.2%}。" \ 327 | "短期内需要刚性兑付的债务为{短期刚兑1:,.2f}万元，主要为短期借款{短期借款1:,.2f}万元，一年内到期的非流动负债{一年内非流1:,.2f}万元。" 328 | #"总体来看，公司刚性债务带来的偿债压力【较大\在合理范围内\较小，根据实际情况自行评价】。" # 21个变量 329 | 330 | # 3、盈利能力 331 | self.s2d3 = \ 332 | "申请人前两年分别实现营业收入{营业收入2:,.2f}万元和{营业收入1:,.2f}万元，{分析s2d3}。" \ 333 | "营业成本{营业成本2:,.2f}万元和{营业成本1:,.2f}万元，毛利率分别为{毛利率2:.2%}和{毛利率1:.2%}，" \ 334 | "期间费用分别为{期间费用2:,.2f}万元和{期间费用1:,.2f}万元，费用收入比分别为{费用收入比2:.2%}和{费用收入比1:.2%}，" \ 335 | "实现净利润{净利润2:,.2f}万元和{净利润1:,.2f}万元，净利润率分别为{净利润率2:.2%}和{净利润率1:.2%}，" 336 | #"总体来看，申请人盈利能力【相对较好/稳定/较弱，根据实际情况自行评价】" # 28个变量 337 | 338 | # 4、现金流量 339 | self.s2d4 = \ 340 | "申请人前三年分别实现净现金流入{净现金流入2:,.2f}万元和{净现金流入1:,.2f}万元。其中：" \ 341 | "经营活动现金净流入{经营活动现金净流入2:,.2f}万元和{经营活动现金净流入1:,.2f}万元；" \ 342 | "投资活动现金净流入{投资活动现金净流入2:,.2f}万元和{投资活动现金净流入1:,.2f}万元；" \ 343 | "筹资活动现金净流入{筹资活动现金净流入2:,.2f}万元和{筹资活动现金净流入1:,.2f}万元。" 344 | #"总体来看，申请人盈利能力【请根据实际情况自行评价】" # 16个变量 345 | 346 | # 5、资产质量 347 | self.s2d5 = \ 348 | "申请人近三年流动资产分别为{流动资产2:,.2f}万元和{流动资产1:,.2f}万元，" \ 349 | "在总资产构成中流动资产占比分别{流动资产占比2:.2%}和{流动资产占比1:.2%}，【>>>简要分析<<<】。" \ 350 | "上年末，主要资产构成为{分析s2d5}。" 351 | #”【请根据实际情况自行评价】。" # 9个变量 352 | 353 | # 6、流动性分析 354 | self.s2d6 = \ 355 | "申请人近三年流动比率分别为{流动比率2:.2f}和{流动比率1:.2f}，三年平均值为{流动比率av:.2f}，" \ 356 | "较年初变化{流动比率delta:.2f}；" \ 357 | "申请人近三年速动比率分别为{速动比率2:.2%}和{速动比率1:.2%}，三年平均值为{速动比率av:.2%}，" \ 358 | "较年初变化{速动比率delta:.2f}。" 359 | #"【请根据实际情况自行评价】。" # 12个变量 360 | 361 | # 7、当期科目变化情况（变化超过30%） 362 | # 直接在core中调用 363 | 364 | class header: 365 | def __init__(self): 366 | self.h1 = "一、财务报表" 367 | self.h2 = "二、财务分析" 368 | self.h2s1 = "（一）审计情况分析" 369 | self.h2s2 = "（二）资本结构分析" 370 | self.h2s3 = "（三）盈利能力分析" 371 | self.h2s4 = "（四）现金流量分析" 372 | self.h2s5 = "（五）资产质量分析" 373 | self.h2s6 = "（六）流动性分析" 374 | self.h2s7 = "（七）科目变化情况" 375 | self.h3 = "三、科目明细分析" -------------------------------------------------------------------------------- /far/main.py: -------------------------------------------------------------------------------- 1 | ''' 2 | 直接使用get_docx()生成docx文件 3 | ''' 4 | 5 | import os 6 | from tinydb import TinyDB, Query 7 | from docx.shared import Inches 8 | from docx import Document 9 | from docx.oxml.ns import qn 10 | from docx.shared import Pt, Length 11 | from docx.enum.text import WD_PARAGRAPH_ALIGNMENT 12 | from far import * 13 | from far._config import IMG_PATH 14 | 15 | 16 | 17 | #----------------------------------------------------------------------- 18 | def get_docx(name, output_path): 19 | conf = Conf(name) 20 | doc = Document() 21 | 22 | doc.styles['Normal'].font.name = 'Times New Roman' 23 | doc.styles['Normal']._element.rPr.rFonts.set(qn('w:eastAsia'), u'宋体') 24 | 25 | # 文档标题 26 | title = doc.add_heading('',level=0).add_run('{}财务分析'.format(conf.name)) 27 | title.font.name = 'Times New Roman' 28 | title._element.rPr.rFonts.set(qn('w:eastAsia'), u'黑体') 29 | # 1.数据 30 | bold(doc, conf.header.h1,2) 31 | financial_sheet(conf, doc) 32 | # 2.分析 33 | para_analysis(doc,conf) 34 | # 3.讨米文案 35 | doc.add_picture(os.path.join(IMG_PATH, 'taomi.png'), width=Inches(2.25)) 36 | p = doc.add_paragraph() 37 | run = p.add_run('如果本项目有点帮助, U can buy me a coffee.') 38 | run.bold = True 39 | # 4.保存 40 | doc.save(output_path) 41 | 42 | # def get_docx_with_ChatGLM(name, output_path): 43 | # conf = Conf(name) 44 | # doc = Document() 45 | 46 | # doc.styles['Normal'].font.name = 'Times New Roman' 47 | # doc.styles['Normal']._element.rPr.rFonts.set(qn('w:eastAsia'), u'宋体') 48 | 49 | # # 文档标题 50 | # title = doc.add_heading('',level=0).add_run(f'{conf.name}财务分析报告') 51 | # title.font.name = 'Times New Roman' 52 | # title._element.rPr.rFonts.set(qn('w:eastAsia'), u'黑体') 53 | # # 1.数据 54 | # bold(doc, conf.header.h1,2) 55 | # financial_sheet(conf, doc) 56 | # # 2.分析 57 | # para_analysis_with_GLM(doc,conf) 58 | # # 3.讨米文案 59 | # doc.add_picture(os.path.join(IMG_PATH, 'taomi.png'), width=Inches(2.25)) 60 | # p = doc.add_paragraph() 61 | # run = p.add_run('如果本项目有点帮助, U can buy me a coffee.') 62 | # run.bold = True 63 | # # 4.保存 64 | # doc.save(output_path) 65 | 66 | 67 | #配置类：调用其他类 68 | class Conf(object): 69 | 70 | def __init__(self, name): 71 | self.name = name 72 | self.db_path = _config.DB_PATH 73 | self.db_file_path = os.path.join(self.db_path, os.listdir(self.db_path)[0]) 74 | self.db = TinyDB(self.db_file_path) 75 | self.table = self.db.table('without_nodata') 76 | self.table_for_print = self.db.table('for_print') 77 | # para类的实例初始化 78 | self.data_type = _para.dict_().data_type 79 | self.para = _para.dict_() 80 | self.init_para() 81 | self.header = _text.header() 82 | 83 | def normal(self): 84 | return _text.normal() 85 | 86 | def no_years3(self): 87 | return _text.no_year3() 88 | 89 | def no_years2(self): 90 | return _text.no_year2() 91 | 92 | def no_years1(self): 93 | return _text.no_year1() 94 | 95 | def all_years(self): 96 | return _text.all_years() 97 | 98 | def two_years(self): 99 | return _text.two_years() 100 | 101 | def init_para(self): 102 | self.para.set() 103 | self.para.analysis_s2d1() 104 | self.para.analysis_s2d2() 105 | self.para.analysis_s2d3() 106 | self.para.analysis_s2d5() 107 | 108 | # -----------------------------需要用到的函数----------------------------- 109 | def bold(doc, text, level): 110 | run = doc.add_heading('', level=level).add_run(text) 111 | run.font.name = 'Times Nwe Roman' 112 | run._element.rPr.rFonts.set(qn('w:eastAsia'), u'宋体') 113 | 114 | # ----------------------------------------------------------------------- 115 | def data(conf_obj,item, key): 116 | Q = Query() 117 | return conf_obj.table.get(Q.items == item)[key] 118 | 119 | # ----------------------------------------------------------------------- 120 | def para_analysis(doc,conf): 121 | para = getattr(conf,conf.data_type) 122 | print(para) 123 | bold(doc, conf.header.h2, 2) 124 | bold(doc, conf.header.h2s1, 3) 125 | p1 = doc.add_paragraph(para().s1d1) 126 | bold(doc, conf.header.h2s2, 3) 127 | p2_1 = doc.add_paragraph(para().s2d1.format(**conf.para.s2d1)) 128 | p2_2 = doc.add_paragraph(para().s2d2.format(**conf.para.s2d2)) 129 | bold(doc, conf.header.h2s3, 3) 130 | p3 = doc.add_paragraph(para().s2d3.format(**conf.para.s2d3)) 131 | bold(doc, conf.header.h2s4, 3) 132 | p4 = doc.add_paragraph(para().s2d4.format(**conf.para.s2d4)) 133 | bold(doc, conf.header.h2s5, 3) 134 | p5 = doc.add_paragraph(para().s2d5.format(**conf.para.s2d5)) 135 | bold(doc, conf.header.h2s6, 3) 136 | p6 = doc.add_paragraph(para().s2d6.format(**conf.para.s2d6)) 137 | bold(doc, conf.header.h2s7,3) 138 | big_change_sheet(conf, doc) 139 | bold(doc, conf.header.h3,3) 140 | if conf.data_type == 'no_year1': 141 | items_detail(conf, doc, 'month') 142 | else: 143 | items_detail(conf, doc, 'year1') 144 | 145 | for para_ in [p1, p2_1, p2_2, p3, p4, p5, p6]: 146 | para_.paragraph_format.alignment = WD_PARAGRAPH_ALIGNMENT.JUSTIFY 147 | para_.paragraph_format.first_line_indent = Pt(24) 148 | 149 | # ----------------------------------------------------------------------- 150 | # def para_analysis_with_GLM(doc,conf): 151 | # para = getattr(conf,conf.data_type) 152 | # print(para) 153 | # bold(doc, conf.header.h2, 2) 154 | # bold(doc, conf.header.h2s1, 3) 155 | # p1 = doc.add_paragraph(para().s1d1) 156 | 157 | # bold(doc, conf.header.h2s2, 3) 158 | # p2_1 = doc.add_paragraph(para().s2d1.format(**conf.para.s2d1)) 159 | # p2_2 = doc.add_paragraph(para().s2d2.format(**conf.para.s2d2)) 160 | # # 引入ChatGLM的分析结果 161 | # res_p2 =_gpt.Glm().response(",".join([para().s2d1.format(**conf.para.s2d1), para().s2d2.format(**conf.para.s2d2), _gpt.Prompt.p2])) 162 | # p2_res = doc.add_paragraph(res_p2) 163 | 164 | # bold(doc, conf.header.h2s3, 3) 165 | # p3 = doc.add_paragraph(para().s2d3.format(**conf.para.s2d3)) 166 | # # 引入ChatGLM的分析结果 167 | # res_p3 =_gpt.Glm().response(",".join([para().s2d3.format(**conf.para.s2d3),_gpt.Prompt.p3])) 168 | # p3_res = doc.add_paragraph(res_p3) 169 | 170 | # bold(doc, conf.header.h2s4, 3) 171 | # p4 = doc.add_paragraph(para().s2d4.format(**conf.para.s2d4)) 172 | # # 引入ChatGLM的分析结果 173 | # res_p4 =_gpt.Glm().response(",".join([para().s2d4.format(**conf.para.s2d4),_gpt.Prompt.p4])) 174 | # p4_res = doc.add_paragraph(res_p4) 175 | 176 | # bold(doc, conf.header.h2s5, 3) 177 | # p5 = doc.add_paragraph(para().s2d5.format(**conf.para.s2d5)) 178 | # # 引入ChatGLM的分析结果 179 | # res_p5 =_gpt.Glm().response(",".join([para().s2d5.format(**conf.para.s2d5),_gpt.Prompt.p5])) 180 | # p5_res = doc.add_paragraph(res_p5) 181 | 182 | # bold(doc, conf.header.h2s6, 3) 183 | # p6 = doc.add_paragraph(para().s2d6.format(**conf.para.s2d6)) 184 | # # 引入ChatGLM的分析结果 185 | # res_p6 =_gpt.Glm().response(",".join([para().s2d6.format(**conf.para.s2d6),_gpt.Prompt.p6])) 186 | # p6_res = doc.add_paragraph(res_p6) 187 | 188 | # bold(doc, conf.header.h2s7,3) 189 | # big_change_sheet(conf, doc) 190 | 191 | # bold(doc, conf.header.h3,3) 192 | # if conf.data_type == 'no_year1': 193 | # items_detail(conf, doc, 'month') 194 | # else: 195 | # items_detail(conf, doc, 'year1') 196 | 197 | # for para_ in [p1,p2_1, p2_2, p2_res, p3, p3_res ,p4, p4_res ,p5, p5_res, p6, p6_res]: 198 | # para_.paragraph_format.alignment = WD_PARAGRAPH_ALIGNMENT.JUSTIFY 199 | # para_.paragraph_format.first_line_indent = Pt(24) 200 | 201 | # ----------------------------------------------------------------------- 202 | def financial_sheet(conf_obj,doc): 203 | Q = Query() 204 | item_list = [] # 表头列表 205 | for item in conf_obj.table_for_print.all(): 206 | item_list.append(item['items']) 207 | data_list = [] # 数据列表 208 | for data in conf_obj.table_for_print.search(Q.items == '项目'): 209 | for i, it in enumerate(data): 210 | if type(it) == str: 211 | data_list.append(it) 212 | data_list = data_list[:5] 213 | 214 | # ------------------------------------------------------------------------ 215 | xratio = [ 216 | '资产负债率', '费用收入比', '流动资产占比', 217 | '毛利率', '净利润率', '刚兑占比', '短债占比', 218 | '总资产收益率(ROA)', '净资产收益率(ROE)', 219 | ] # 百分数形式的财务指标 eg:‘11.11%’ 220 | table = doc.add_table(rows=len(conf_obj.table_for_print.all()), 221 | cols=5, 222 | style="Light Grid") 223 | # ------------------------------------------------------------------------ 224 | for irows, item in enumerate(item_list): 225 | for icols, data in enumerate(data_list): 226 | num = conf_obj.table_for_print.get(Q.items == item)[data] 227 | if isinstance(num, float): 228 | if item in xratio: 229 | table.cell(irows, icols).text = '{:.2%}'.format(num) 230 | else: 231 | table.cell(irows, icols).text = '{:,.2f}'.format(num) 232 | else: 233 | table.cell(irows, icols).text = str(num) 234 | # ------------------------------------------------------------------------ 235 | 236 | def big_change_items(conf_obj): 237 | ''' 238 | 不直接使用,只在big_change_sheet()中被调用。 239 | conf.data_type == 'no_year1'时不能是使用本函数 240 | 找出最近一期比上一期变化超过30%的科目 241 | :return: 242 | ''' 243 | Q = Query() 244 | Item = conf_obj.table.search((Q.type == '流动资产') | (Q.type == '非流动资产') | (Q.type == '流动负债') | (Q.type == '非流动负债')) 245 | list1 = [] 246 | list2 = [] 247 | big_change_items = [] 248 | if conf_obj.data_type == 'all_years': 249 | for dict in Item: 250 | if dict['year1'] == 0 and dict['month'] != 0: 251 | list1.append(dict) 252 | elif dict['year1'] == 0 and dict['month'] == 0: 253 | pass 254 | else: 255 | if (dict['month'] - dict['year1']) / dict['year1'] < 0.3 \ 256 | and (dict['month'] - dict['year1']) / dict['year1'] > -0.3: 257 | pass 258 | else: 259 | list2.append(dict) 260 | list_sorted_dict = sorted(list2, key=lambda x: x['month'] - x['year1'], reverse=True) 261 | # 组成当期纯变化和超过30%变化的列表 262 | for dict in list_sorted_dict: 263 | list1.append(dict) 264 | # 形成科目名称列表 265 | for dict in list1: 266 | big_change_items.append(dict['items']) 267 | return big_change_items 268 | else: 269 | for dict in Item: 270 | if dict['year1'] == 0 and dict['year2'] != 0: 271 | list1.append(dict) 272 | elif dict['year1'] == 0 and dict['year2'] == 0: 273 | pass 274 | else: 275 | if (dict['year1']-dict['year2'])/dict['year2'] < 0.3 \ 276 | and (dict['year1']-dict['year2'])/dict['year2'] > -0.3: 277 | pass 278 | else: 279 | list2.append(dict) 280 | list_sorted_dict = sorted(list2, key=lambda x: x['year1']-x['year2'], reverse=True) 281 | #组成当期纯变化和超过30%变化的列表 282 | for dict in list_sorted_dict: 283 | list1.append(dict) 284 | # 形成科目名称列表 285 | for dict in list1: 286 | big_change_items.append(dict['items']) 287 | return big_change_items 288 | 289 | def big_change_sheet(conf_obj,doc): 290 | table_change_item = ['科目名称', '当期值', '较年初变化', '变化率', '变化情况'] 291 | table_change = doc.add_table(rows=len(big_change_items(conf_obj)) + 1, 292 | cols=5, 293 | style='Light Grid') 294 | for i in range(5): 295 | cell = table_change.cell(0, i) 296 | cell.text = table_change_item[i] 297 | if conf_obj.data_type == 'all_years': 298 | for i, item in enumerate(big_change_items(conf_obj)): 299 | table_change.cell(i + 1, 0).text = data(conf_obj,item,'items') # 科目名称 300 | table_change.cell(i + 1, 1).text = '{:,.2f}'.format(data(conf_obj,item,'year1')) # 当期值 301 | table_change.cell(i + 1, 2).text = '{:,.2f}'.format( 302 | data(conf_obj,item,'year1') - data(conf_obj,item,'year2')) # 变化值 303 | if data(conf_obj,item,'year2') != 0: 304 | ratio = data(conf_obj,item,'year1') - data(conf_obj, item, 'year2') / data(conf_obj, item, 'year2') 305 | table_change.cell(i + 1, 3).text = '{:.2%}'.format(ratio) # 变化率 306 | else: 307 | if data(conf_obj, item, 'year1') > 0: 308 | table_change.cell(i + 1, 3).text = '当期净增加' 309 | else: 310 | table_change.cell(i + 1, 3).text = '当期净减少' 311 | else: 312 | for i, item in enumerate(big_change_items(conf_obj)): 313 | table_change.cell(i + 1, 0).text = data(conf_obj,item,'items') # 科目名称 314 | table_change.cell(i + 1, 1).text = '{:,.2f}'.format(data(conf_obj,item,'month')) # 当期值 315 | table_change.cell(i + 1, 2).text = '{:,.2f}'.format(data(conf_obj,item,'month') - data(conf_obj,item, 'year1')) # 变化值 316 | if data(conf_obj,item,'year1') != 0: 317 | ratio = (data(conf_obj,item,'month') - data(conf_obj,item,'year1')) / data(conf_obj,item,'year1') 318 | table_change.cell(i + 1, 3).text = '{:.2%}'.format(ratio) # 变化率 319 | else: 320 | if data(conf_obj,item,'month') > 0: 321 | table_change.cell(i + 1, 3).text = '当期净增加' 322 | else: 323 | table_change.cell(i + 1, 3).text = '当期净减少' 324 | 325 | # ----------------------------------------------------------------------- 326 | def item_table(doc, col1, col2, col3, col4): 327 | """ 328 | 生成固定格式的表格 329 | 1.科目明细 330 | 2.账龄明细 331 | 3.等等 332 | @param col1: 序号 333 | @param col2: 名称 334 | @param col3: 金额 335 | @param col4: 等等 336 | @return: 空白表格 337 | """ 338 | table_regular = [col1, col2, col3, col4] 339 | b_c_table = doc.add_table(rows=7, 340 | cols=4, 341 | style='Light Grid') 342 | for i in range(4): 343 | cell = b_c_table.cell(0, i) 344 | cell.text = table_regular[i] 345 | for i in range(5): 346 | cell = b_c_table.cell(i + 1, 0) 347 | cell.text = str(i + 1) 348 | 349 | # ----------------------------------------------------------------------- 350 | def para_add(doc, item_para, item): 351 | if item == "货币资金": 352 | item_para.add_run("其中现金【】万元,银行存款【】万元、其他货币资金【】万元。") 353 | elif item == "应收票据": 354 | item_para.add_run("其中银行承兑汇票【】万元,商业承兑汇票【】万元。") 355 | elif item == "应收账款": 356 | item_para.add_run("账面余额【】万元、计提坏账准备【】万元,账龄1年以内占比【】%,3年以上占比【】%。其中,应收账款前五位：") 357 | item_table(doc, "序号", "名称", "余额（万元）", "占比") 358 | elif item == "预付账款": 359 | item_para.add_run("账龄1年以内占比【】%,3年以上占比【】%。其中,预收账款前五位：") 360 | item_table(doc, "序号", "名称", "余额（万元）", "占比") 361 | elif item == "其他应收款": 362 | item_para.add_run("账面余额【】万元、计提坏账准备【】万元。其中,其他应付款前五位：") 363 | item_table(doc, "序号", "名称", "余额(万元)", "款项性质") 364 | elif item == "存货": 365 | item_para.add_run("其中,原材料【】万元、库存商品【】万元、周转材料【】万元、工程施工【】万元、开发成本【】万元。") 366 | elif item == "其他流动资产": 367 | item_para.add_run("其中【添加明细】。") 368 | elif item == "长期股权投资": 369 | item_para.add_run("系对【N】家企业的投资,本期主要新增【哪家公司】；对外投资前五位如下：") 370 | item_table(doc, "序号", "名称", "投资额", "投资性质") 371 | elif item == "固定资产": 372 | item_para.add_run("固定资产原值【】万元,累计折旧【】万元,其中房屋及建筑物【】万元、机器设备【】万元、办公设备【】万元、【其他】【】万元。") 373 | elif item == "在建工程": 374 | item_para.add_run("主要为【项目1】【】万元、【项目2】【】万元、【项目3】【】万元……") 375 | elif item == "无形资产": 376 | item_para.add_run("主要为土地使用权【】万元、采矿权【】万元、专利权【】万元、软件【】万元,其他【】万元。") 377 | elif item == "短期借款": 378 | item_para.add_run("主要为【XX银行】【】万元、【XX银行】【】万元、【XX银行】【】万元、【xx银行】【】万元、【xx银行】【】万元。【其他需要说明的内容】") 379 | elif item == "应付票据": 380 | item_para.add_run("主要为银行承兑汇票【】万元,商业承兑汇票【】万元。") 381 | elif item == "应付账款": 382 | item_para.add_run("其中应付材料款【】万元,应付工程款【】万元。其中前五名如下：") 383 | item_table(doc, "序号", "名称", "余额", "性质") 384 | elif item == "预收账款": 385 | item_para.add_run("其中前5名如下：") 386 | item_table(doc, "序号", "名称", "余额", "账龄") 387 | elif item == "其他应付款": 388 | item_para.add_run("应付利息【】万元,往来款【】万元,押金和保证金【】万元,其中前5名如下：") 389 | item_table(doc, "序号", "名称", "余额", "账龄") 390 | elif item == "其他流动负债": 391 | item_para.add_run("主要为【】") 392 | elif item == "长期借款": 393 | item_para.add_run("主要为【XX银行】【】万元、【XX银行】【】万元、【XX银行】【】万元、【xx银行】【】万元、【xx银行】【】万元。【其他需要说明的内容】") 394 | elif item == "应付债券": 395 | item_para.add_run("主要为【】") 396 | item_table(doc, "序号", "债券名称", "余额", "到期日") 397 | elif item == "长期应付款": 398 | item_para.add_run("其中专项应付款【】万元、【】【】万元、其他【】万元。") 399 | 400 | # ----------------------------------------------------------------------- 401 | def items_detail(conf_obj, doc, date): 402 | 403 | #变量声明 404 | list_dict = [] 405 | item_text = '' 406 | type_in_all = '' 407 | total_ = float() 408 | # 形成科目列表 409 | for dict in conf_obj.table_for_print: 410 | try: 411 | if data(conf_obj,dict['items'],'type') in ['流动资产', '非流动资产', '流动负债', '非流动负债']: 412 | list_dict.append(dict['items']) 413 | else: 414 | pass 415 | except Exception as Er: 416 | pass 417 | # 科目分析 418 | for item in list_dict: # 第一行是表头,里面有字符串,必须剔除 419 | # 设置科目分析的文字模版 420 | if data(conf_obj, item, date) != 0: 421 | if conf_obj.data_type == 'no_1year': 422 | item_text = '【{}】：当期余额{:,.2f}万元,在{}中占比{:.2%}。' 423 | else: 424 | item_text = '【{}】：当期余额{:,.2f}万元,在{}中占比{:.2%},较上年增加{:.2f}万元,{}。' 425 | 426 | if data(conf_obj, item, 'type') in ['流动资产', '非流动资产']: 427 | type_in_all = '总资产' 428 | total_ = data(conf_obj, '资产总计', date) 429 | elif data(conf_obj, item, 'type') in ['流动负债', '非流动负债']: 430 | type_in_all = '总负债' 431 | total_ = data(conf_obj, '负债合计', date) 432 | else: 433 | pass 434 | else: 435 | pass 436 | # “较上年增加后”的文字部分 437 | if isinstance(data(conf_obj, item, 'ratio'), str): 438 | text_ratio = '为' + data(conf_obj, item, 'ratio') 439 | else: 440 | text_ratio = '当年增幅为{:.2%}'.format(data(conf_obj, item, 'ratio')) 441 | # 模版的格式化输出 442 | if conf_obj.data_type == 'no_1year': 443 | para_ = doc.add_paragraph( 444 | item_text.format( 445 | data(conf_obj, item,'items'), 446 | data(conf_obj, item, date), 447 | type_in_all, 448 | data(conf_obj, item, date) / total_ 449 | ) 450 | ) 451 | para_.paragraph_format.alignment = WD_PARAGRAPH_ALIGNMENT.JUSTIFY 452 | para_.paragraph_format.first_line_indent = Pt(24) 453 | para_add(doc, para_, data(conf_obj, item, date)) # 根据不同的科目在文字模版后新增文字 454 | else: 455 | para_ = doc.add_paragraph( 456 | item_text.format( 457 | data(conf_obj, item, 'items'), 458 | data(conf_obj, item, date), 459 | type_in_all, 460 | data(conf_obj, item, date) / total_, 461 | data(conf_obj, item, 'delta'), 462 | text_ratio 463 | ) 464 | ) 465 | para_.paragraph_format.alignment = WD_PARAGRAPH_ALIGNMENT.JUSTIFY 466 | para_.paragraph_format.first_line_indent = Pt(24) 467 | para_add(doc, para_, data(conf_obj, item, 'items')) #根据不同的科目在文字模版后新增文字 468 | -------------------------------------------------------------------------------- /far/_para.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | # -*- coding: utf-8 -*- 3 | #__author__:"watalo" 4 | # @Time: 2020/3/22 22:59 5 | # @Site : 6 | # @File : _para.py 7 | # @Software: PyCharm 8 | 9 | 10 | import os 11 | from tinydb import TinyDB ,Query 12 | from far import _text ,_config 13 | 14 | 15 | 16 | ''' 17 | 1 判断数据结构的年份构成 18 | normal 19 | no_3year 20 | no_2year 21 | no_1year 22 | all_years 23 | two_years 24 | 2 对text类中的text进行匹配 25 | 26 | 2.1 可直接读取的数据 27 | 从数据中读取 28 | 2.2 需进行分析的文字 29 | 直接形成分析结果，按字符串形式存储 30 | 31 | 32 | ''' 33 | 34 | class dict_: 35 | ''' 36 | 设定变量字典 37 | ''' 38 | def __init__(self): 39 | self.db_path = _config.DB_PATH 40 | self.db_file_path = '/'.join([self.db_path, os.listdir(self.db_path)[0]]) 41 | # print(db_file_path) 42 | self.db = TinyDB(self.db_file_path) 43 | self.table = self.db.table('without_nodata') 44 | self.Q = Query() 45 | self.s2d1 = {'总资产3': ['资产总计','year3'], '总资产2': ['资产总计','year2'], 46 | '总资产1': ['资产总计','year1'], '总资产m': ['资产总计','month'], 47 | '总负债3': ['负债合计','year3'], '总负债2': ['负债合计','year2'], 48 | '总负债1': ['负债合计','year1'], '总负债m': ['负债合计','month'], 49 | '资产负债率3': ['资产负债率','year3'], '资产负债率2': ['资产负债率','year2'], 50 | '资产负债率1': ['资产负债率','year1'], '资产负债率m': ['资产负债率','month'], 51 | '分析s2d1':str(), 52 | } 53 | self.s2d2 = {'分析s2d2': str(), 54 | '流动负债3': ['流动负债合计','year3'], '流动负债2': ['流动负债合计','year2'], 55 | '流动负债1': ['流动负债合计','year1'], '流动负债m': ['流动负债合计','month'], 56 | '短债占比3': ['短债占比','year3'], '短债占比2': ['短债占比','year2'], 57 | '短债占比1': ['短债占比','year1'], '短债占比m': ['短债占比','month'], 58 | '刚性负债3': ['刚性负债','year3'], '刚性负债2': ['刚性负债','year2'], 59 | '刚性负债1': ['刚性负债','year1'], '刚性负债m': ['刚性负债','month'], 60 | '刚性兑付占比3': ['刚兑占比','year3'], '刚性兑付占比2': ['刚兑占比','year2'], 61 | '刚性兑付占比1': ['刚兑占比','year1'], '刚性兑付占比m': ['刚兑占比','month'], 62 | '短期刚兑m': ['短期刚兑','month'],'短期刚兑1':['短期刚兑','year1'], 63 | '短期借款m': ['短期借款','month'],'短期借款1':['短期借款','year1'], 64 | '一年内非流m': ['一年内到期的非流动负债','month'],'一年内非流1': ['一年内到期的非流动负债','year1'], 65 | } 66 | self.s2d3 = {'营业收入3': ['营业收入','year3'], '营业收入2': ['营业收入','year2'], 67 | '营业收入1': ['营业收入','year1'], '分析s2d3':str(), 68 | '营业成本3': ['营业成本','year3'], '营业成本2': ['营业成本','year2'], 69 | '营业成本1': ['营业成本','year1'], 70 | '毛利率3': ['毛利率','year3'], '毛利率2':['毛利率','year2'], '毛利率1':['毛利率','year1'], 71 | '期间费用3': ['期间费用','year3'], '期间费用2': ['期间费用','year2'], '期间费用1': ['期间费用','year1'], 72 | '费用收入比3': ['费用收入比','year3'], '费用收入比2': ['费用收入比','year2'], 73 | '费用收入比1': ['费用收入比','year1'], 74 | '净利润3': ['净利润','year3'], '净利润2': ['净利润','year2'], '净利润1': ['净利润','year1'], 75 | '净利润率3': ['净利润率','year3'], '净利润率2': ['净利润率','year2'], '净利润率1': ['净利润率','year1'], 76 | '营业收入m':['营业收入','month'], '营业成本m':['营业成本','month'], '毛利率m':['毛利率','month'], 77 | '期间费用m':['期间费用','month'], '投资收益m':['投资收益','month'], '净利润率m':['净利润率','month'], 78 | } 79 | self.s2d4 = {'净现金流入3':['现金净流入','year3'], '净现金流入2':['现金净流入','year2'], 80 | '净现金流入1':['现金净流入','year1'], 81 | '经营活动现金净流入3':['经营活动净现金流入','year3'], '经营活动现金净流入2':['经营活动净现金流入','year2'], 82 | '经营活动现金净流入1':['经营活动净现金流入','year1'], 83 | '投资活动现金净流入3':['投资活动现金净流入','year3'], '投资活动现金净流入2':['投资活动现金净流入','year2'], 84 | '投资活动现金净流入1':['投资活动现金净流入','year1'], 85 | '筹资活动现金净流入3':['筹资活动现金净流入','year3'], '筹资活动现金净流入2':['筹资活动现金净流入','year2'], 86 | '筹资活动现金净流入1':['筹资活动现金净流入','year1'], 87 | } 88 | self.s2d5 = {'流动资产3':['流动资产合计','year3'], '流动资产2':['流动资产合计','year2'], 89 | '流动资产1':['流动资产合计','year1'], '流动资产m':['流动资产合计','month'], 90 | '流动资产占比3':['流动资产占比','year3'], '流动资产占比2':['流动资产占比','year2'], 91 | '流动资产占比1':['流动资产占比','year1'], '流动资产占比m':['流动资产占比','month'], 92 | '分析s2d5':str(), 93 | } 94 | self.s2d6 = {'流动比率3':['流动比率','year3'], '流动比率2':['流动比率','year2'], 95 | '流动比率1':['流动比率','year1'], '流动比率m':['流动比率','month'], 96 | '流动比率av':['流动比率','averg'], '流动比率delta':['流动比率','delta'], 97 | '速动比率3':['速动比率','year3'], '速动比率2':['速动比率','year2'], 98 | '速动比率1':['速动比率','year1'], '速动比率m':['速动比率','month'], 99 | '速动比率av':['速动比率','averg'], '速动比率delta':['速动比率','delta'], 100 | } 101 | 102 | @property 103 | def data_type(self): 104 | ''' 105 | 判断数据类型 106 | :return: 数据结构的类型[normal,no_3year,no_2year,no_1year,all_years,two_years] 107 | ''' 108 | Q = Query() 109 | table = self.db.table('without_nodata') 110 | dict_years = table.search(Q.items == '项目') 111 | type_list = list(dict_years[0].keys()) 112 | if ('year3' in type_list and 'year2' in type_list and 113 | 'year1' in type_list and 'month' in type_list): 114 | return 'normal' 115 | elif ('year3' not in type_list and 'year2' in type_list and 116 | 'year1' in type_list and 'month' in type_list): 117 | return 'no_3year' 118 | elif ('year3' not in type_list and 'year2' not in type_list and 119 | 'year1' in type_list and 'month' in type_list): 120 | return 'no_2year' 121 | elif ('year3' not in type_list and 'year2' not in type_list and 122 | 'year1' not in type_list and 'month' in type_list): 123 | return 'no_1year' 124 | elif ('year3' in type_list and 'year2' in type_list and 125 | 'year1' in type_list and 'month' not in type_list): 126 | return 'all_years' 127 | elif ('year3' not in type_list and 'year2' in type_list and 128 | 'year1' in type_list and 'month' not in type_list): 129 | return 'two_years' 130 | else: 131 | return '无法识别' 132 | 133 | def data(self,para_dict,text_key,item,key): # 在set函数中用来读取数据 134 | try: 135 | para_dict[text_key] = self.table.get(self.Q.items == item)[key] 136 | except Exception as error: 137 | para_dict[text_key] = 0 138 | 139 | def set(self): 140 | ''' 141 | 给变量赋值,不考虑智能分析文件的问题。 142 | :return: 变量赋值后的字典 143 | ''' 144 | #第一段 145 | for key in self.s2d1: 146 | if key == '分析s2d1': 147 | pass 148 | else: 149 | self.data(self.s2d1, key,self.s2d1[key][0], self.s2d1[key][1]) 150 | #第二段 151 | for key in self.s2d2: 152 | if key == '分析s2d2': 153 | pass 154 | else: 155 | self.data(self.s2d2, key,self.s2d2[key][0], self.s2d2[key][1]) 156 | #第三段 157 | for key in self.s2d3: 158 | if key == '分析s2d3': 159 | pass 160 | else: 161 | self.data(self.s2d3, key,self.s2d3[key][0], self.s2d3[key][1]) 162 | #第四段 163 | for key in self.s2d4: 164 | if key == '分析s2d4': 165 | pass 166 | elif key == '分析s2d4_经营': 167 | pass 168 | elif key == '分析s2d4_投资': 169 | pass 170 | elif key == '分析s2d4_筹资': 171 | pass 172 | else: 173 | self.data(self.s2d4, key,self.s2d4[key][0], self.s2d4[key][1]) 174 | #第五段 175 | for key in self.s2d5: 176 | if key == '分析s2d5': 177 | pass 178 | else: 179 | self.data(self.s2d5, key,self.s2d5[key][0], self.s2d5[key][1]) 180 | #第六段 181 | for key in self.s2d6: 182 | self.data(self.s2d6, key,self.s2d6[key][0], self.s2d6[key][1]) 183 | 184 | def db_data(self,item , key): #从数据库读取值 在analysis系列函数中使用 185 | return self.table.get(self.Q.items == item)[key] 186 | 187 | # analysis系列函数对text中的需要做简单分析的部分进行处理 188 | def analysis_s2d1(self): 189 | commit = '' 190 | if self.data_type == 'normal': 191 | if (self.db_data('资产负债率','year3')self.db_data('资产负债率','year2')>self.db_data('资产负债率', 'year1') 195 | >self.db_data('资产负债率','month') ): 196 | commit = '持续下降，资产负债结构有所改善。' 197 | elif (self.db_data('资产负债率','year3')==self.db_data('资产负债率','year2')==self.db_data('资产负债率', 'year1') 198 | ==self.db_data('资产负债率','month')==0 ): 199 | commit = '一直为0，近三年及最近一期均无负债。' 200 | else: 201 | num = self.db_data('资产负债率','averg') 202 | commit = '在{:.2f}上下波动，资产负债结构相对稳定。'.format(num) 203 | elif self.data_type == 'no_3year': 204 | if (self.db_data('资产负债率','year2')self.db_data('资产负债率', 'year1')>self.db_data('资产负债率','month')): 207 | commit = '持续下降，资产负债结构有所改善。' 208 | elif (self.db_data('资产负债率','year2')==self.db_data('资产负债率', 'year1')==self.db_data('资产负债率','month')==0 ): 209 | commit = '一直为0%，申请人近两年及最近一期均无负债。' 210 | else: 211 | num = self.db_data('资产负债率','averg') 212 | commit = '在{:.2f}}上下波动，资产负债结构相对稳定。'.format(num) 213 | elif self.data_type == 'no_2year': 214 | if (self.db_data('资产负债率', 'year1') < self.db_data('资产负债率', 'month')): 215 | commit = '有所增加，有加大资本杠杆的趋势。' 216 | elif (self.db_data('资产负债率', 'year1') > self.db_data('资产负债率', 'month')): 217 | commit = '有所下降，资产负债结构有所改善。' 218 | elif (self.db_data('资产负债率', 'year1') == self.db_data('资产负债率','month') == 0): 219 | commit = '一直为0，处于无负债状态。' 220 | else: 221 | pass 222 | elif self.data_type == 'no_1year': 223 | if self.db_data('资产负债率','month') >= 0.5: 224 | commit = '超过了50%。' 225 | else: 226 | commit = '低于50%，资产负债率相对较低。' 227 | elif self.data_type == 'all_years': 228 | if (self.db_data('资产负债率','year3')self.db_data('资产负债率','year2')>self.db_data('资产负债率', 'year1')): 231 | commit = '持续下降，资产负债结构有所改善。' 232 | elif (self.db_data('资产负债率','year3')==self.db_data('资产负债率','year2')==self.db_data('资产负债率','year1')==0 ): 233 | commit = '申请人近三年均无负债。' 234 | else: 235 | num = self.db_data('资产负债率','averg') 236 | commit = '在{:.2f}}%上下波动，资产负债结构相对稳定。'.format(num) 237 | elif self.data_type == 'two_years': 238 | if (self.db_data('资产负债率','year2')self.db_data('资产负债率', 'year1')): 241 | commit = '持续下降，资产负债结构有所改善。' 242 | elif self.db_data('资产负债率','year2')==self.db_data('资产负债率','year1')==0: 243 | commit = '申请人近两年均无负债。' 244 | else: 245 | num = self.db_data('资产负债率','averg') 246 | commit = '在{:.2f}}%上下波动，资产负债结构相对稳定。'.format(num) 247 | else: 248 | pass 249 | self.s2d1['分析s2d1'] = commit 250 | 251 | def analysis_s2d2(self): 252 | commit = '' 253 | if self.data_type == 'normal': 254 | # 极端情况：资产负债率始终为0 255 | if (self.db_data('资产负债率','year3')==self.db_data('资产负债率','year2')==self.db_data('资产负债率', 'year1') 256 | ==self.db_data('资产负债率','month')==0 ): 257 | commit = '为零>>>请删除本段文字<<<' 258 | else: 259 | if self.db_data('短债占比','month') > 0.5: 260 | commit = '以短期债务为主，流动负债占比高于50%。近三年及最新一期' 261 | elif self.db_data('短债占比','month') < 0.5: 262 | commit = '以长期负债为主，非流动负债占比高于50%。近三年及最新一期' 263 | else: 264 | commit = '期限结构均衡，流动负债占比等于50%。' 265 | elif self.data_type == 'no_3year': 266 | # 极端情况：资产负债率始终为0 267 | if (self.db_data('资产负债率','year2')==self.db_data('资产负债率', 'year1') 268 | ==self.db_data('资产负债率','month')==0 ): 269 | commit = '为零>>>请删除本段文字<<<' 270 | else: 271 | if self.db_data('短债占比','month') > 0.5: 272 | commit = '以短期债务为主，流动负债占比高于50%。近两年及最新一期' 273 | elif self.db_data('短债占比','month') < 0.5: 274 | commit = '以长期负债为主，非流动负债占比高于50%。近两年及最新一期' 275 | else: 276 | commit = '期限结构均衡，流动负债占比等于50%。' 277 | elif self.data_type == 'no_2year': 278 | # 极端情况：资产负债率始终为0 279 | if (self.db_data('资产负债率', 'year1') == self.db_data('资产负债率', 'month') == 0): 280 | commit = '为零>>>请删除本段文字<<<' 281 | else: 282 | if self.db_data('短债占比', 'month') > 0.5: 283 | commit = '以短期债务为主，流动负债占比高于50%。上一年及最新一期' 284 | elif self.db_data('短债占比', 'month') < 0.5: 285 | commit = '以长期负债为主，非流动负债占比高于50%。上一年及最新一期' 286 | else: 287 | commit = '期限结构均衡，流动负债占比等于50%。' 288 | elif self.data_type == 'no_1year': 289 | # 极端情况：资产负债率始终为0 290 | if self.db_data('资产负债率', 'month') == 0: 291 | commit = '为零>>>请删除本段文字<<<' 292 | else: 293 | if self.db_data('短债占比', 'month') > 0.5: 294 | commit = '以短期债务为主，流动负债占比高于50%。' 295 | elif self.db_data('短债占比', 'month') < 0.5: 296 | commit = '以长期负债为主，非流动负债占比高于50%。' 297 | else: 298 | commit = '期限结构均衡，流动负债占比等于50%。' 299 | elif self.data_type == 'all_years': 300 | # 极端情况：资产负债率始终为0 301 | if (self.db_data('资产负债率','year3')==self.db_data('资产负债率','year2') 302 | ==self.db_data('资产负债率', 'year1')==0 ): 303 | commit = '为零>>>请删除本段文字<<<' 304 | else: 305 | if self.db_data('短债占比','year1') > 0.5: 306 | commit = '以短期债务为主，流动负债占比高于50%。近三年' 307 | elif self.db_data('短债占比','year1') < 0.5: 308 | commit = '以长期负债为主，非流动负债占比高于50%。近三年' 309 | else: 310 | commit = '期限结构均衡，流动负债占比等于50%。' 311 | elif self.data_type == 'two_years': 312 | # 极端情况：资产负债率始终为0 313 | if (self.db_data('资产负债率', 'year2') == self.db_data('资产负债率', 'year1') == 0): 314 | commit = '为零>>>请删除本段文字<<<' 315 | else: 316 | if self.db_data('短债占比', 'year1') > 0.5: 317 | commit = '以短期债务为主，流动负债占比高于50%。近两年' 318 | elif self.db_data('短债占比', 'year1') < 0.5: 319 | commit = '以长期负债为主，非流动负债占比高于50%。近两年' 320 | else: 321 | commit = '期限结构均衡，流动负债占比等于50%。' 322 | 323 | else: 324 | pass 325 | self.s2d2['分析s2d2'] = commit 326 | 327 | def analysis_s2d3(self): 328 | commit = '营业收入{com1}，盈利能力{com2}' 329 | 330 | if self.data_type == 'normal': 331 | # com1 332 | com1 = '' 333 | if self.db_data('营业收入','year3') == self.db_data('营业收入','year2') == self.db_data('营业收入','year1') == 0: 334 | commit = '连续三年未实现销售收入。' 335 | else: 336 | if 0 < self.db_data('营业收入','year3') < self.db_data('营业收入','year2'): 337 | if self.db_data('营业收入','year2') < self.db_data('营业收入','year1'): 338 | tag = (self.db_data('营业收入','year1') - self.db_data('营业收入','year3'))/self.db_data('营业收入','year3') 339 | ave = tag/2 340 | com1 = '持续三年增长，平均增长率为{:,.2%}'.format(ave) 341 | elif self.db_data('营业收入','year2') > self.db_data('营业收入','year1'): 342 | com1 = '出现波动，最近一年营收出现回落' 343 | else: 344 | com1 = '近来年相对稳定，相比前三年营收有所提升' 345 | elif self.db_data('营业收入','year3') > self.db_data('营业收入','year2'): 346 | if self.db_data('营业收入','year2') > self.db_data('营业收入','year1'): 347 | tag = (self.db_data('营业收入','year3') - self.db_data('营业收入','year1'))/self.db_data('营业收入','year1') 348 | ave = tag/2 349 | com1 = '持续三年下降，平均降幅为{:,.2%}'.format(ave) 350 | elif self.db_data('营业收入','year2') < self.db_data('营业收入','year1'): 351 | com1 = '出现波动，但最近一年营收有所回升' 352 | else: 353 | com1 = '近来年相对稳定，相比前三年营收有所回落' 354 | # com2 355 | if self.db_data('净利润','month') > 0: 356 | if (self.db_data('净利润','year3') < self.db_data('净利润','year2') 357 | < self.db_data('净利润','year1') < self.db_data('净利润','month')): 358 | com2 = '逐年提升' 359 | elif (self.db_data('净利润','year3') > self.db_data('净利润','year2') 360 | > self.db_data('净利润','year1') > self.db_data('净利润','month')): 361 | com2 = '逐年下降' 362 | else: 363 | com2 = '有所波动' 364 | else: 365 | com2 = '较弱，出现亏损情况' 366 | 367 | elif self.data_type == 'no_3year': 368 | # com1 369 | if self.db_data('营业收入', 'year2') == self.db_data('营业收入', 'year1') == 0: 370 | commit = '连续两年未实现销售收入。' 371 | else: 372 | if 0 < self.db_data('营业收入', 'year2'): 373 | if self.db_data('营业收入', 'year2') < self.db_data('营业收入', 'year1'): 374 | tag = (self.db_data('营业收入', 'year1') - self.db_data('营业收入', 'year2')) / self.db_data('营业收入','year2') 375 | ave = tag 376 | com1 = '持续两年增长，增长率为{:,.2%}'.format(ave) 377 | elif self.db_data('营业收入', 'year2') > self.db_data('营业收入', 'year1'): 378 | com1 = '出现波动，最近一年营收出现回落' 379 | else: 380 | com1 = '近来年相对稳定' 381 | # com2 382 | if self.db_data('净利润', 'month') >= 0: 383 | if (self.db_data('净利润', 'year2') < self.db_data('净利润', 'year1') < self.db_data('净利润', 'month')): 384 | com2 = '逐年提升' 385 | elif (self.db_data('净利润', 'year2') > self.db_data('净利润', 'year1') > self.db_data('净利润', 'month')): 386 | com2 = '逐年下降' 387 | else: 388 | com2 = '有所波动' 389 | else: 390 | com2 = '较弱，出现亏损情况' 391 | 392 | elif self.data_type == 'no_2year': 393 | # com1 394 | if self.db_data('营业收入', 'year1') > 0: 395 | com1 = '已实现销售收入' 396 | else: 397 | if self.db_data('营业收入', 'month') > 0: 398 | com1 = '连续实现销售收入' 399 | else: 400 | com1 = '不稳定，较难判断' 401 | # com2 402 | if self.db_data('净利润', 'month') >= 0: 403 | if self.db_data('净利润', 'year1') <= self.db_data('净利润', 'month'): 404 | com2 = '逐渐提升' 405 | else: 406 | com2 = '有所下降' 407 | else: 408 | com2 = '较弱，出现亏损情况' 409 | 410 | elif self.data_type == 'no_1year': 411 | com1 = '{:,.f}'.format(self.db_data('营业收入','month')) 412 | com2 = '{:,.f}'.format(self.db_data('净利润','month')) 413 | 414 | elif self.data_type == 'all_years': 415 | # com1 416 | com1 = '' 417 | if self.db_data('营业收入','year3') == self.db_data('营业收入','year2') == self.db_data('营业收入','year1') == 0: 418 | commit = '连续三年未实现销售收入。' 419 | else: 420 | if 0 < self.db_data('营业收入','year3') < self.db_data('营业收入','year2'): 421 | if self.db_data('营业收入','year2') < self.db_data('营业收入','year1'): 422 | tag = (self.db_data('营业收入','year1') - self.db_data('营业收入','year3'))/self.db_data('营业收入','year3') 423 | ave = tag/2 424 | com1 = '持续三年增长，平均增长率为{:,.2%}'.format(ave) 425 | elif self.db_data('营业收入','year2') > self.db_data('营业收入','year1'): 426 | com1 = '出现波动，最近一年营收出现回落' 427 | else: 428 | com1 = '近来年相对稳定，相比前三年营收有所提升' 429 | elif self.db_data('营业收入','year3') > self.db_data('营业收入','year2'): 430 | if self.db_data('营业收入','year2') > self.db_data('营业收入','year1'): 431 | tag = (self.db_data('营业收入','year3') - self.db_data('营业收入','year1'))/self.db_data('营业收入','year1') 432 | ave = tag/2 433 | com1 = '持续三年下降，平均降幅为{:,.2%}'.format(ave) 434 | elif self.db_data('营业收入','year2') < self.db_data('营业收入','year1'): 435 | com1 = '出现波动，但最近一年营收有所回升' 436 | else: 437 | com1 = '近来年相对稳定，相比前三年营收有所回落' 438 | # com2 439 | if self.db_data('净利润','year1') >= 0: 440 | if (self.db_data('净利润','year3') < self.db_data('净利润','year2') 441 | < self.db_data('净利润','year1')): 442 | com2 = '逐年提升' 443 | elif (self.db_data('净利润','year3') > self.db_data('净利润','year2') 444 | > self.db_data('净利润','year1')): 445 | com2 = '逐年下降' 446 | else: 447 | com2 = '有所波动' 448 | else: 449 | com2 = '较弱，出现亏损情况' 450 | 451 | elif self.data_type == 'two_years': 452 | # com1 453 | com1 = '' 454 | if self.db_data('营业收入','year2') == self.db_data('营业收入','year1') == 0: 455 | commit = '连续两年未实现销售收入。' 456 | elif self.db_data('营业收入','year2') < self.db_data('营业收入','year1'): 457 | pass 458 | elif self.db_data('营业收入','year2') > self.db_data('营业收入','year1'): 459 | pass 460 | # com2 461 | if self.db_data('净利润','year1') >= 0: 462 | if self.db_data('净利润','year2') < self.db_data('净利润','year1'): 463 | com2 = '较上年有所提升' 464 | elif self.db_data('净利润','year2') > self.db_data('净利润','year1'): 465 | com2 = '较上年有所下降' 466 | else: 467 | com2 = '保持不变' 468 | else: 469 | com2 = '较弱，出现亏损情况' 470 | 471 | self.s2d3['分析s2d3'] = commit.format(com1=com1,com2=com2) 472 | 473 | def analysis_s2d5(self): 474 | commit = '%s，在总资产构成中的占比分别为%s' 475 | text_sorted_asset = '' 476 | text_sorted_ratio = '' 477 | if (self.data_type == 'normal' or self.data_type == 'no_3year' or self.data_type == 'no_2year' or 478 | self.data_type == 'all_years' or self.data_type == 'two_years'): 479 | text_sorted_asset = '、'.join(self.sort_asset('year1', 'items')[:5]) 480 | sorted_ratio = [] 481 | for value in self.sort_asset('year1', 'year1')[:5]: 482 | ratio = 100 * value / self.db_data('资产总计', 'year1') 483 | sorted_ratio.append('%.2f%%' % ratio) 484 | text_sorted_ratio = '、'.join(sorted_ratio) 485 | elif self.data_type == 'no_1year': 486 | text_sorted_asset = '、'.join(self.sort_asset('month', 'items')[:5]) 487 | sorted_ratio = [] 488 | for value in self.sort_asset('month', 'month')[:5]: 489 | ratio = 100 * value / self.db_data('资产总计', 'month') 490 | sorted_ratio.append('%.2f%%' % ratio) 491 | text_sorted_ratio = '、'.join(sorted_ratio) 492 | else: 493 | pass 494 | self.s2d5['分析s2d5'] = commit%(text_sorted_asset,text_sorted_ratio) 495 | 496 | def sort_asset(self, year, output): 497 | Item = self.table.search((self.Q.type == '流动资产') | (self.Q.type == '非流动资产')) 498 | list_sorted_dict = sorted(Item, key=lambda Item: Item[year], reverse=True) 499 | list_item = [] 500 | for sorted_dict in list_sorted_dict: 501 | list_item.append(sorted_dict[output]) 502 | return list_item 503 | 504 | 505 | 506 | 507 | 508 | 509 | -------------------------------------------------------------------------------- /db/模板.json: -------------------------------------------------------------------------------- 1 | {"_default": {"1": {"items": "\u9879\u76ee", "year3": "\u524d3\u5e74", "year2": "\u524d2\u5e74", "year1": "\u524d1\u5e74", "month": "\u5f53\u671f"}, "2": {"items": "\u8d27\u5e01\u8d44\u91d1", "year3": 1905.306261, "year2": 692.370683, "year1": 34.386676, "month": 513.192363}, "3": {"items": "\u4ea4\u6613\u6027\u91d1\u878d\u8d44\u4ea7", "year3": 0, "year2": 0, "year1": 0, "month": 0}, "4": {"items": "\u884d\u751f\u91d1\u878d\u8d44\u4ea7", "year3": 0, "year2": 0, "year1": 0, "month": 0}, "5": {"items": "\u5e94\u6536\u7968\u636e", "year3": 3532.339238, "year2": 1646.5932, "year1": 675.8, "month": 0}, "6": {"items": "\u5e94\u6536\u8d26\u6b3e", "year3": 0, "year2": 3994.602363, "year1": 3233.39388, "month": 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