From 7a45ffb2fc8d2a87d646e08634583d13cbebed59 Mon Sep 17 00:00:00 2001 From: "jim.feng" Date: Thu, 11 Apr 2024 13:26:52 +0800 Subject: [PATCH] 1 --- ai-data-python/.idea/.gitignore | 8 + ai-data-python/.idea/ChatGPT_Similarity.iml | 9 + ai-data-python/.idea/dbnavigator.xml | 468 +++ ai-data-python/.idea/easyCodeTableSetting.xml | 270 ++ ai-data-python/.idea/misc.xml | 6 + ai-data-python/.idea/modules.xml | 8 + ai-data-python/.idea/vcs.xml | 6 + ai-data-python/README.md | 6 + .../NewsTrial-checkpoint.ipynb | 107 + .../.ipynb_checkpoints/__init__-checkpoint.py | 0 .../http_requester-checkpoint.py | 31 + .../.ipynb_checkpoints/text-checkpoint.csv | 51 + .../.ipynb_checkpoints/trial-checkpoint.ipynb | 95 + .../.ipynb_checkpoints/utils-checkpoint.py | 93 + ai-data-python/src/NewsTrial.ipynb | 429 +++ ai-data-python/src/__init__.py | 0 .../http_requester.cpython-311.pyc | Bin 0 -> 1476 bytes .../src/__pycache__/utils.cpython-311.pyc | Bin 0 -> 7299 bytes ai-data-python/src/http_requester.py | 31 + ai-data-python/src/question.csv | 11 + ai-data-python/src/stopwords_full.txt | 2992 +++++++++++++++++ ai-data-python/src/text.csv | 419 +++ ai-data-python/src/trial.ipynb | 94 + ai-data-python/src/utils.py | 93 + 24 files changed, 5227 insertions(+) create mode 100644 ai-data-python/.idea/.gitignore create mode 100644 ai-data-python/.idea/ChatGPT_Similarity.iml create mode 100644 ai-data-python/.idea/dbnavigator.xml create mode 100644 ai-data-python/.idea/easyCodeTableSetting.xml create mode 100644 ai-data-python/.idea/misc.xml create mode 100644 ai-data-python/.idea/modules.xml create mode 100644 ai-data-python/.idea/vcs.xml create mode 100644 ai-data-python/README.md create mode 100644 ai-data-python/src/.ipynb_checkpoints/NewsTrial-checkpoint.ipynb create mode 100644 ai-data-python/src/.ipynb_checkpoints/__init__-checkpoint.py create mode 100644 ai-data-python/src/.ipynb_checkpoints/http_requester-checkpoint.py create mode 100644 ai-data-python/src/.ipynb_checkpoints/text-checkpoint.csv create mode 100644 ai-data-python/src/.ipynb_checkpoints/trial-checkpoint.ipynb create mode 100644 ai-data-python/src/.ipynb_checkpoints/utils-checkpoint.py create mode 100644 ai-data-python/src/NewsTrial.ipynb create mode 100644 ai-data-python/src/__init__.py create mode 100644 ai-data-python/src/__pycache__/http_requester.cpython-311.pyc create mode 100644 ai-data-python/src/__pycache__/utils.cpython-311.pyc create mode 100644 ai-data-python/src/http_requester.py create mode 100644 ai-data-python/src/question.csv create mode 100644 ai-data-python/src/stopwords_full.txt create mode 100644 ai-data-python/src/text.csv create mode 100644 ai-data-python/src/trial.ipynb create mode 100644 ai-data-python/src/utils.py diff --git a/ai-data-python/.idea/.gitignore b/ai-data-python/.idea/.gitignore new file mode 100644 index 0000000..13566b8 --- /dev/null +++ b/ai-data-python/.idea/.gitignore @@ -0,0 +1,8 @@ +# Default ignored files +/shelf/ +/workspace.xml +# Editor-based HTTP Client requests +/httpRequests/ +# Datasource local storage ignored files +/dataSources/ +/dataSources.local.xml diff --git a/ai-data-python/.idea/ChatGPT_Similarity.iml b/ai-data-python/.idea/ChatGPT_Similarity.iml new file mode 100644 index 0000000..d6ebd48 --- /dev/null +++ b/ai-data-python/.idea/ChatGPT_Similarity.iml @@ -0,0 +1,9 @@ + + + + + + + + + \ No newline at end of file diff --git a/ai-data-python/.idea/dbnavigator.xml b/ai-data-python/.idea/dbnavigator.xml new file mode 100644 index 0000000..1a023ca --- /dev/null +++ b/ai-data-python/.idea/dbnavigator.xml @@ -0,0 +1,468 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/ai-data-python/.idea/easyCodeTableSetting.xml b/ai-data-python/.idea/easyCodeTableSetting.xml new file mode 100644 index 0000000..ba0fba5 --- /dev/null +++ b/ai-data-python/.idea/easyCodeTableSetting.xml @@ -0,0 +1,270 @@ + + + + + + \ No newline at end of file diff --git a/ai-data-python/.idea/misc.xml b/ai-data-python/.idea/misc.xml new file mode 100644 index 0000000..84fb791 --- /dev/null +++ b/ai-data-python/.idea/misc.xml @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/ai-data-python/.idea/modules.xml b/ai-data-python/.idea/modules.xml new file mode 100644 index 0000000..bcd5d4d --- /dev/null +++ b/ai-data-python/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/ai-data-python/.idea/vcs.xml b/ai-data-python/.idea/vcs.xml new file mode 100644 index 0000000..35eb1dd --- /dev/null +++ b/ai-data-python/.idea/vcs.xml @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/ai-data-python/README.md b/ai-data-python/README.md new file mode 100644 index 0000000..ff25c19 --- /dev/null +++ b/ai-data-python/README.md @@ -0,0 +1,6 @@ +├─src +│ └─__pycache__ +└─text + +./text --- text files should be put here +./src/trial --- an example of how to use diff --git a/ai-data-python/src/.ipynb_checkpoints/NewsTrial-checkpoint.ipynb b/ai-data-python/src/.ipynb_checkpoints/NewsTrial-checkpoint.ipynb new file mode 100644 index 0000000..81f8477 --- /dev/null +++ b/ai-data-python/src/.ipynb_checkpoints/NewsTrial-checkpoint.ipynb @@ -0,0 +1,107 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from utils import *" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "654\n" + ] + } + ], + "source": [ + "import os\n", + "\n", + "directory = '../text'\n", + "\n", + "file_list = []\n", + "for filename in os.listdir(directory):\n", + " if os.path.isfile(os.path.join(directory, filename)):\n", + " file_list.append(filename)\n", + "\n", + "# all the news titles\n", + "print(len(file_list))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "for i in range(0, 50): # first 50 news title embeddings\n", + " title_extracted = file_list[i].replace(\".html\", \"\")\n", + " text = convert_to_simplified(title_extracted) # change to simplified chinese\n", + " text = rmCharacters(text, punct=True, stop=True) # remove stopping words\n", + " vector = embeddingfunc(client, text, model=\"text-embedding-3-small\", dimensions=1536) # get embedding\n", + " save2text(file_list[i], vector) # 保存embedding" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "24 CLASSIFIED GP(08232)發布年度業績，股東應占虧損爲1534.6萬港元，同比...\n", + "47 【公司盈警】稻草熊娱乐(02125)料2023年度盈转亏0.9-1.3亿元人民币.html\n", + "28 FIT HON TENG(06088.HK)擬3月12日舉行董事會會議批准年度業績.html\n", + "34 MI能源(01555.HK)盈警：預期2023年度淨虧損約1.47億至1.67億元.html\n", + "23 BOSS直聘-W(02076.HK)3月12日舉行董事會會議審議及批准年度業績.html\n", + "Name: text, dtype: object" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "simRank('财报', n=5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "afe", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/ai-data-python/src/.ipynb_checkpoints/__init__-checkpoint.py b/ai-data-python/src/.ipynb_checkpoints/__init__-checkpoint.py new file mode 100644 index 0000000..e69de29 diff --git a/ai-data-python/src/.ipynb_checkpoints/http_requester-checkpoint.py b/ai-data-python/src/.ipynb_checkpoints/http_requester-checkpoint.py new file mode 100644 index 0000000..e2d0ddc --- /dev/null +++ b/ai-data-python/src/.ipynb_checkpoints/http_requester-checkpoint.py @@ -0,0 +1,31 @@ +import requests + +def get_stock_news(page_num=1, page_size=10, story_start_time="2024-04-04 10:36:26.685", story_end_time="2024-04-11 10:36:26.685"): + """ + 获取股票新闻信息。 + + 参数: + page_num (int): 页码。 + page_size (int): 每页大小。 + story_start_time (str): 故事开始时间。 + story_end_time (str): 故事结束时间。 + + 返回: + dict: 响应内容，假设为JSON格式。 + """ + url = 'http://192.168.3.210:9205/api/news/ai/assist/stockNews' + params = { + "pageNum": page_num, + "pageSize": page_size, + "storyEndTime": story_end_time, + "storyStartTime": story_start_time + } + headers = {"From-Source": "inner"} + + try: + response = requests.get(url, headers=headers, params=params) + response.raise_for_status() # 若请求失败，抛出HTTPError + return response.json() # 返回解析后的JSON数据 + except requests.RequestException as e: + print(f"请求股票新闻时发生错误: {e}") + return None \ No newline at end of file diff --git a/ai-data-python/src/.ipynb_checkpoints/text-checkpoint.csv b/ai-data-python/src/.ipynb_checkpoints/text-checkpoint.csv new file mode 100644 index 0000000..371bfac --- /dev/null +++ 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-0.019616594538092613, 0.02577991597354412, -0.018699828535318375, -0.002429983578622341, 0.02668563649058342]" diff --git a/ai-data-python/src/.ipynb_checkpoints/trial-checkpoint.ipynb b/ai-data-python/src/.ipynb_checkpoints/trial-checkpoint.ipynb new file mode 100644 index 0000000..bec7096 --- /dev/null +++ b/ai-data-python/src/.ipynb_checkpoints/trial-checkpoint.ipynb @@ -0,0 +1,95 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from utils import *" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "654\n" + ] + } + ], + "source": [ + "# import os\n", + "\n", + "# directory = '../text'\n", + "\n", + "# file_list = []\n", + "# for filename in os.listdir(directory):\n", + "# if os.path.isfile(os.path.join(directory, filename)):\n", + "# file_list.append(filename)\n", + "\n", + "# # 打印文件名列表\n", + "# print(len(file_list))\n", + "\n", + "# for i in range(0, 10):\n", + "# with open(os.path.join(directory, file_list[i]), 'r', encoding='utf-8') as file:\n", + "# html_content = file.read()\n", + "# html_extracted = extract_text_from_html(html_content)\n", + "# text = convert_to_simplified(html_extracted)\n", + "# text = rmCharacters(text, punct=True, stop=True)\n", + "# vector = embeddingfunc(client, text, model=\"text-embedding-3-small\", dimensions=1536)\n", + "# save2text(file_list[i], vector)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "6 3連板四川金頂(600678.SH)：公司無任何形成收入的氫能源相關産品.html\n", + "7 4連板 天永智能(603895.SH)：無任何形成收入的氫能源産品 現有産品與氫能源無任何關...\n", + "1 由于库存充足 全球液化天然气-亚洲现货液化天然气价格持平.html\n", + "3 2024年“全球視野·下注中國”十大核心ETF最新解讀（2月月報）.html\n", + "9 5億補貼推動以舊換新，蘇寧易購發佈2024年星雲計劃.html\n", + "Name: text, dtype: object" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "simRank('能源领域最近有什么新闻吗？', n=5)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "afe", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/ai-data-python/src/.ipynb_checkpoints/utils-checkpoint.py b/ai-data-python/src/.ipynb_checkpoints/utils-checkpoint.py new file mode 100644 index 0000000..caa0d19 --- /dev/null +++ b/ai-data-python/src/.ipynb_checkpoints/utils-checkpoint.py @@ -0,0 +1,93 @@ +import os +from openai import OpenAI +from bs4 import BeautifulSoup +import opencc +import re +import numpy as np +import pandas as pd +import json +from numpy.linalg import norm + + + +OpenAI.api_request_timeout=30 +client = OpenAI(api_key="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") + +punct_regex = r"[、！？｡＂＃＄％＆＇（）＊＋，－／：；＜＝＞＠［＼］＾＿｀｛｜｝～｟｠｢｣､、〃》「」『』【】〔〕〖〗〘〙〚〛〜〝〞〟〰〾〿–—‘’‛“”„‟…‧﹏!\"\#$%&\'\(\)\*\+,-\./:;<=>?@\[\\\]\^_`{\|}~]" + +f = open("./stopwords_full.txt", "r", encoding='utf-8') +stopwords_full = f.read() +f.close() + +stopwords_full = stopwords_full.strip().split('\n') + +# check whether there are csv files +text_file_path = './text.csv' +if not os.path.isfile(text_file_path): + pd.DataFrame(columns=['text', 'embedding']).to_csv(text_file_path, index=False) + +question_file_path = './question.csv' +if not os.path.isfile(question_file_path): + pd.DataFrame(columns=['question', 'embedding']).to_csv(question_file_path, index=False) + + +def embeddingfunc(client, text, model="text-embedding-3-small", dimensions=1536): + + response = client.embeddings.create( + input=text, + model=model, # released in Jan 2024 with text-embedding-3-large + dimensions=dimensions # default 1536(small) with 3072(large) $0.00002/token + ) + return response.data[0].embedding + + +def extract_text_from_html(html): + soup = BeautifulSoup(html, 'html.parser') + for script in soup(["script", "style"]): + script.decompose() + text = soup.get_text() + lines = (line.strip() for line in text.splitlines()) + chunks = (phrase.strip() for line in lines for phrase in line.split(" ")) + return '\n'.join(chunk for chunk in chunks if chunk) + + + +def convert_to_simplified(text): + converter = opencc.OpenCC('hk2s.json') + simplified_text = converter.convert(text) + return simplified_text + +def rmCharacters(text, punct=True, stop=True): + if punct == True: + text_punct = re.sub(punct_regex, '', text) + if stop == True: + pattern = r'\b(?:{})\b'.format('|'.join(map(re.escape, stopwords_full))) + updated_text = re.sub(pattern, '', text_punct) + return updated_text + +def save2question(question, embedding): # question is string + df = pd.read_csv(question_file_path) + if question not in df['question'].to_list(): + pd.concat([df, pd.DataFrame({"question":[question], "embedding":[embedding]})], axis=0).to_csv(question_file_path, index=False) + +def save2text(text, embedding): # text is file path + df = pd.read_csv(text_file_path) + if text not in df['text'].to_list(): + pd.concat([df, pd.DataFrame({"text":[text], "embedding":[embedding]})], axis=0).to_csv(text_file_path, index=False) + +def simRank(question, n=3): + question = convert_to_simplified(question) + question = rmCharacters(question, punct=True, stop=True) + vector = embeddingfunc(client, question, model="text-embedding-3-small", dimensions=1536) + save2question(question, vector) + + textVector = pd.read_csv("./text.csv") + B = np.array(vector) + textVector['embedding'] = textVector['embedding'].apply(lambda x:np.array(json.loads(x))) + textVector['sim'] = textVector['embedding'].apply(lambda x:np.dot(x,B)/(norm(x)*norm(B))) + return textVector.sort_values(by=['sim'], ascending=False).head(n)['text'] + + +# https://openai.com/blog/new-embedding-models-and-api-updates?ref=upstract.com +# 去除特殊字符 (https://github.com/blmoistawinde/HarvestText/tree/master) +# stopping words (https://github.com/CharyHong/Stopwords/tree/main) \ No newline at end of file diff --git a/ai-data-python/src/NewsTrial.ipynb b/ai-data-python/src/NewsTrial.ipynb new file mode 100644 index 0000000..cc14870 --- /dev/null +++ b/ai-data-python/src/NewsTrial.ipynb @@ -0,0 +1,429 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from utils import *" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "654\n" + ] + } + ], + "source": [ + "import os\n", + "\n", + "directory = '../text'\n", + "\n", + "file_list = []\n", + "for filename in os.listdir(directory):\n", + " if os.path.isfile(os.path.join(directory, filename)):\n", + " file_list.append(filename)\n", + "\n", + "# all the news titles\n", + "print(len(file_list))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "1\n", + "2\n", + "3\n", + "4\n", + "5\n", + "6\n", + "7\n", + "8\n", + "9\n", + "10\n", + "11\n", + "12\n", + "13\n", + "14\n", + "15\n", + "16\n", + "17\n", + "18\n", + "19\n", + "20\n", + "21\n", + "22\n", + "23\n", + "24\n", + "25\n", + "26\n", + "27\n", + "28\n", + "29\n", + "30\n", + "31\n", + "32\n", + "33\n", + "34\n", + "35\n", + "36\n", + "37\n", + "38\n", + "39\n", + "40\n", + "41\n", + "42\n", + "43\n", + "44\n", + "45\n", + "46\n", + "47\n", + "48\n", + "49\n", + "50\n", + "51\n", + "52\n", + "53\n", + "54\n", + "55\n", + "56\n", + "57\n", + "58\n", + "59\n", + "60\n", + "61\n", + "62\n", + "63\n", + "64\n", + "65\n", + "66\n", + "67\n", + "68\n", + "69\n", + "70\n", + "71\n", + "72\n", + "73\n", + "74\n", + "75\n", + "76\n", + "77\n", + "78\n", + "79\n", + "80\n", + "81\n", + "82\n", + "83\n", + "84\n", + "85\n", + "86\n", + "87\n", + "88\n", + "89\n", + "90\n", + "91\n", + "92\n", + "93\n", + "94\n", + "95\n", + "96\n", + "97\n", + "98\n", + "99\n" + ] + } + ], + "source": [ + "for i in range(0, 100): # first 50 news title embeddings\n", + " title_extracted = file_list[i].replace(\".html\", \"\")\n", + " text = convert_to_simplified(title_extracted) # change to simplified chinese\n", + " text = rmCharacters(text, punct=True, stop=True) # remove stopping words\n", + " vector = embeddingfunc(client, text, model=\"text-embedding-3-small\", dimensions=1536) # get embedding\n", + " save2text(file_list[i], vector) # 保存embedding\n", + " print(i)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "386 朸浚國際(01355.HK)：2023年淨虧損3817.8萬港元.html\n", + "130 云音乐(09899)2023年度扭亏为盈7.34亿元人民币.html\n", + "96 中國環境資源(01130.HK)中期淨虧損4609.1萬港元.html\n", + "81 中国环境资源(01130)发布中期业绩 股东应占亏损4609.1万港元 同比扩大1517.8...\n", + "95 中國環境資源(01130)發布中期業績 股東應占虧損4609.1萬港元 同比擴大1517.8...\n", + "Name: text, dtype: object" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "simRank('亏损', n=5)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "股票新闻获取成功：\n", + "{'code': 200, 'msg': 'success', 'data': [{'newsId': '752312301192781824', 'headLine': 'A股異動丨新瀚新材跌超7% Q4營收淨利均下滑', 'storyDateTime': '2024-03-22 11:06:29', 'source': '格隆匯', 'viewingMethod': 1, 'newsLink': 'https://www.gelonghui.com/news/4714175', 'lang': 'tc', 'viewsNumber': 0, 'heatIndex': 9, 'prosConsIndex': 9, 'newsSummary': None, 'stockRealTimeInfoList': None, 'influence': None, 'hasNewsSummary': False, 'hasTrendAnalysis': False}, {'newsId': '752312300106457088', 'headLine': '隔夜shibor报1.7720% 上涨0.10个基点', 'storyDateTime': '2024-03-22 11:06:22', 'source': '金吾財訊', 'viewingMethod': 1, 'newsLink': None, 'lang': 'zh', 'viewsNumber': 0, 'heatIndex': 7, 'prosConsIndex': 7, 'newsSummary': None, 'stockRealTimeInfoList': None, 'influence': None, 'hasNewsSummary': False, 'hasTrendAnalysis': False}, {'newsId': '752312300106457089', 'headLine': '【券商聚焦】中信里昂：拼多多(PDD)去年国内外电商市场份额持续增长 予目标价180美元', 'storyDateTime': '2024-03-22 11:06:15', 'source': '金吾財訊', 'viewingMethod': 1, 'newsLink': None, 'lang': 'zh', 'viewsNumber': 0, 'heatIndex': 7, 'prosConsIndex': 7, 'newsSummary': None, 'stockRealTimeInfoList': None, 'influence': None, 'hasNewsSummary': False, 'hasTrendAnalysis': False}, {'newsId': '752312305198342146', 'headLine': '中信銀行副行長鬍罡：整體資產質量趨勢持續向好', 'storyDateTime': '2024-03-22 11:06:13', 'source': '格隆匯', 'viewingMethod': 1, 'newsLink': 'https://www.gelonghui.com/live/1456563', 'lang': 'tc', 'viewsNumber': 0, 'heatIndex': 0, 'prosConsIndex': None, 'newsSummary': '中信銀行今日召開2023年度業績發佈會，中信銀行副行長、風險總監胡罡表示，我行的整體資產質量趨勢持續向好。首先從數據上來看，近幾年主要的風險區指標持續向好，與同業比也是持續向好，不斷的往上走。另外，從資產質量的結果來看，一個是2.37萬億的主要是投向國債、三A的信用債等方面，風險較低；另一個方面是1.73萬億的理財管理資產，這一塊資產比較安全。', 'stockRealTimeInfoList': None, 'influence': None, 'hasNewsSummary': True, 'hasTrendAnalysis': False}, {'newsId': '752312304443367424', 'headLine': '生意社：近期碳酸锂價格穩中上行', 'storyDateTime': '2024-03-22 11:06:01', 'source': '智通財經', 'viewingMethod': 1, 'newsLink': 'http://www.zhitongcaijing.com/content/detail/1090316.html', 'lang': 'tc', 'viewsNumber': 0, 'heatIndex': 0, 'prosConsIndex': None, 'newsSummary': None, 'stockRealTimeInfoList': None, 'influence': None, 'hasNewsSummary': False, 'hasTrendAnalysis': False}]}\n" + ] + }, + { + "data": { + "text/html": [ + "
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newsIdheadLinestoryDateTimesourceviewingMethodnewsLinklangviewsNumberheatIndexprosConsIndexnewsSummarystockRealTimeInfoListinfluencehasNewsSummaryhasTrendAnalysis
0752312301192781824A股異動丨新瀚新材跌超7% Q4營收淨利均下滑2024-03-22 11:06:29格隆匯1https://www.gelonghui.com/news/4714175tc099.0NoneNoneNoneFalseFalse
1752312300106457088隔夜shibor报1.7720% 上涨0.10个基点2024-03-22 11:06:22金吾財訊1Nonezh077.0NoneNoneNoneFalseFalse
2752312300106457089【券商聚焦】中信里昂：拼多多(PDD)去年国内外电商市场份额持续增长 予目标价180美元2024-03-22 11:06:15金吾財訊1Nonezh077.0NoneNoneNoneFalseFalse
3752312305198342146中信銀行副行長鬍罡：整體資產質量趨勢持續向好2024-03-22 11:06:13格隆匯1https://www.gelonghui.com/live/1456563tc00NaN中信銀行今日召開2023年度業績發佈會，中信銀行副行長、風險總監胡罡表示，我行的整體資產質量...NoneNoneTrueFalse
4752312304443367424生意社：近期碳酸锂價格穩中上行2024-03-22 11:06:01智通財經1http://www.zhitongcaijing.com/content/detail/1...tc00NaNNoneNoneNoneFalseFalse
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" + ], + "text/plain": [ + " newsId headLine \\\n", + "0 752312301192781824 A股異動丨新瀚新材跌超7% Q4營收淨利均下滑 \n", + "1 752312300106457088 隔夜shibor报1.7720% 上涨0.10个基点 \n", + "2 752312300106457089 【券商聚焦】中信里昂：拼多多(PDD)去年国内外电商市场份额持续增长 予目标价180美元 \n", + "3 752312305198342146 中信銀行副行長鬍罡：整體資產質量趨勢持續向好 \n", + "4 752312304443367424 生意社：近期碳酸锂價格穩中上行 \n", + "\n", + " storyDateTime source viewingMethod \\\n", + "0 2024-03-22 11:06:29 格隆匯 1 \n", + "1 2024-03-22 11:06:22 金吾財訊 1 \n", + "2 2024-03-22 11:06:15 金吾財訊 1 \n", + "3 2024-03-22 11:06:13 格隆匯 1 \n", + "4 2024-03-22 11:06:01 智通財經 1 \n", + "\n", + " newsLink lang viewsNumber \\\n", + "0 https://www.gelonghui.com/news/4714175 tc 0 \n", + "1 None zh 0 \n", + "2 None zh 0 \n", + "3 https://www.gelonghui.com/live/1456563 tc 0 \n", + "4 http://www.zhitongcaijing.com/content/detail/1... tc 0 \n", + "\n", + " heatIndex prosConsIndex \\\n", + "0 9 9.0 \n", + "1 7 7.0 \n", + "2 7 7.0 \n", + "3 0 NaN \n", + "4 0 NaN \n", + "\n", + " newsSummary stockRealTimeInfoList \\\n", + "0 None None \n", + "1 None None \n", + "2 None None \n", + "3 中信銀行今日召開2023年度業績發佈會，中信銀行副行長、風險總監胡罡表示，我行的整體資產質量... None \n", + "4 None None \n", + "\n", + " influence hasNewsSummary hasTrendAnalysis \n", + "0 None False False \n", + "1 None False False \n", + "2 None False False \n", + "3 None True False \n", + "4 None False False " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from http_requester import get_stock_news\n", + "import pandas as pd\n", + "# 调用函数获取股票新闻\n", + "result = get_stock_news(page_num=1, page_size=5)\n", + "\n", + "if result is not None:\n", + " print(\"股票新闻获取成功：\")\n", + " print(result)\n", + "else:\n", + " print(\"股票新闻获取失败。\")\n", + "data = result['data']\n", + "\n", + "# 将数据转换为DataFrame\n", + "df = pd.json_normalize(data)\n", + "\n", + "df " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + 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b/ai-data-python/src/http_requester.py @@ -0,0 +1,31 @@ +import requests + +def get_stock_news(page_num=1, page_size=10, story_start_time="2024-04-04 10:36:26.685", story_end_time="2024-04-11 10:36:26.685"): + """ + 获取股票新闻信息。 + + 参数: + page_num (int): 页码。 + page_size (int): 每页大小。 + story_start_time (str): 故事开始时间。 + story_end_time (str): 故事结束时间。 + + 返回: + dict: 响应内容，假设为JSON格式。 + """ + url = 'http://192.168.3.210:9205/api/news/ai/assist/stockNews' + params = { + "pageNum": page_num, + "pageSize": page_size, + "storyEndTime": story_end_time, + "storyStartTime": story_start_time + } + headers = {"From-Source": "inner"} + + try: + response = requests.get(url, headers=headers, params=params) + response.raise_for_status() # 若请求失败，抛出HTTPError + return response.json() # 返回解析后的JSON数据 + except requests.RequestException as e: + print(f"请求股票新闻时发生错误: {e}") + return None \ No newline at end of file diff --git a/ai-data-python/src/question.csv b/ai-data-python/src/question.csv new file mode 100644 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13, + "metadata": {}, + "outputs": [], + "source": [ + "# import os\n", + "\n", + "# directory = '../text'\n", + "\n", + "# file_list = []\n", + "# for filename in os.listdir(directory):\n", + "# if os.path.isfile(os.path.join(directory, filename)):\n", + "# file_list.append(filename)\n", + "\n", + "# # 打印文件名列表\n", + "# print(len(file_list))\n", + "\n", + "# for i in range(0, 10):\n", + "# with open(os.path.join(directory, file_list[i]), 'r', encoding='utf-8') as file:\n", + "# html_content = file.read()\n", + "# html_extracted = extract_text_from_html(html_content)\n", + "# text = convert_to_simplified(html_extracted)\n", + "# text = rmCharacters(text, punct=True, stop=True)\n", + "# vector = embeddingfunc(client, text, model=\"text-embedding-3-small\", dimensions=1536)\n", + "# save2text(file_list[i], vector)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "34 MI能源(01555.HK)盈警：預期2023年度淨虧損約1.47億至1.67億元.html\n", + "6 3連板四川金頂(600678.SH)：公司無任何形成收入的氫能源相關産品.html\n", + "28 FIT HON TENG(06088.HK)擬3月12日舉行董事會會議批准年度業績.html\n", + "47 【公司盈警】稻草熊娱乐(02125)料2023年度盈转亏0.9-1.3亿元人民币.html\n", + "3 2024年“全球視野·下注中國”十大核心ETF最新解讀（2月月報）.html\n", + "Name: text, dtype: object" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "simRank('能源领域的财报？', n=5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.2" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/ai-data-python/src/utils.py b/ai-data-python/src/utils.py new file mode 100644 index 0000000..caa0d19 --- /dev/null +++ b/ai-data-python/src/utils.py @@ -0,0 +1,93 @@ +import os +from openai import OpenAI +from bs4 import BeautifulSoup +import opencc +import re +import numpy as np +import pandas as pd +import json +from numpy.linalg import norm + + + +OpenAI.api_request_timeout=30 +client = OpenAI(api_key="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") + +punct_regex = r"[、！？｡＂＃＄％＆＇（）＊＋，－／：；＜＝＞＠［＼］＾＿｀｛｜｝～｟｠｢｣､、〃》「」『』【】〔〕〖〗〘〙〚〛〜〝〞〟〰〾〿–—‘’‛“”„‟…‧﹏!\"\#$%&\'\(\)\*\+,-\./:;<=>?@\[\\\]\^_`{\|}~]" + +f = open("./stopwords_full.txt", "r", encoding='utf-8') +stopwords_full = f.read() +f.close() + +stopwords_full = stopwords_full.strip().split('\n') + +# check whether there are csv files +text_file_path = './text.csv' +if not os.path.isfile(text_file_path): + pd.DataFrame(columns=['text', 'embedding']).to_csv(text_file_path, index=False) + +question_file_path = './question.csv' +if not os.path.isfile(question_file_path): + pd.DataFrame(columns=['question', 'embedding']).to_csv(question_file_path, index=False) + + +def embeddingfunc(client, text, model="text-embedding-3-small", dimensions=1536): + + response = client.embeddings.create( + input=text, + model=model, # released in Jan 2024 with text-embedding-3-large + dimensions=dimensions # default 1536(small) with 3072(large) $0.00002/token + ) + return response.data[0].embedding + + +def extract_text_from_html(html): + soup = BeautifulSoup(html, 'html.parser') + for script in soup(["script", "style"]): + script.decompose() + text = soup.get_text() + lines = (line.strip() for line in text.splitlines()) + chunks = (phrase.strip() for line in lines for phrase in line.split(" ")) + return '\n'.join(chunk for chunk in chunks if chunk) + + + +def convert_to_simplified(text): + converter = opencc.OpenCC('hk2s.json') + simplified_text = converter.convert(text) + return simplified_text + +def rmCharacters(text, punct=True, stop=True): + if punct == True: + text_punct = re.sub(punct_regex, '', text) + if stop == True: + pattern = r'\b(?:{})\b'.format('|'.join(map(re.escape, stopwords_full))) + updated_text = re.sub(pattern, '', text_punct) + return updated_text + +def save2question(question, embedding): # question is string + df = pd.read_csv(question_file_path) + if question not in df['question'].to_list(): + pd.concat([df, pd.DataFrame({"question":[question], "embedding":[embedding]})], axis=0).to_csv(question_file_path, index=False) + +def save2text(text, embedding): # text is file path + df = pd.read_csv(text_file_path) + if text not in df['text'].to_list(): + pd.concat([df, pd.DataFrame({"text":[text], "embedding":[embedding]})], axis=0).to_csv(text_file_path, index=False) + +def simRank(question, n=3): + question = convert_to_simplified(question) + question = rmCharacters(question, punct=True, stop=True) + vector = embeddingfunc(client, question, model="text-embedding-3-small", dimensions=1536) + save2question(question, vector) + + textVector = pd.read_csv("./text.csv") + B = np.array(vector) + textVector['embedding'] = textVector['embedding'].apply(lambda x:np.array(json.loads(x))) + textVector['sim'] = textVector['embedding'].apply(lambda x:np.dot(x,B)/(norm(x)*norm(B))) + return textVector.sort_values(by=['sim'], ascending=False).head(n)['text'] + + +# https://openai.com/blog/new-embedding-models-and-api-updates?ref=upstract.com +# 去除特殊字符 (https://github.com/blmoistawinde/HarvestText/tree/master) +# stopping words (https://github.com/CharyHong/Stopwords/tree/main) \ No newline at end of file