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Python+AI自动化办公的核心思路

利用Python结合AI工具（如OpenAI API、LangChain等）可以高效处理重复性办公任务。以下为常见场景的实现方法：

批量处理Excel/CSV文件

import pandas as pd from openai import OpenAI client = OpenAI(api_key="your_key") def ai_process_data(df): response = client.chat.completions.create( model="gpt-3.5-turbo", messages=[{"role": "user", "content": f"分析这段数据:{df.to_string()}"}] ) return response.choices[0].message.content data = pd.read_excel("data.xlsx") result = ai_process_data(data) print(result)

自动生成文档报告

def generate_report(template_path, data): with open(template_path) as f: template = f.read() prompt = f"根据以下数据生成报告:\n数据:{data}\n模板:{template}" response = client.chat.completions.create( model="gpt-3.5-turbo", messages=[{"role": "user", "content": prompt}] ) return response.choices[0].message.content

邮件自动处理系统

import imaplib import email def process_emails(): mail = imaplib.IMAP4_SSL('imap.gmail.com') mail.login('your@email.com', 'password') mail.select('inbox') _, data = mail.search(None, 'UNSEEN') for num in data[0].split(): _, msg_data = mail.fetch(num, '(RFC822)') raw_email = msg_data[0][1] email_message = email.message_from_bytes(raw_email) # 使用AI分析邮件内容 response = client.chat.completions.create( model="gpt-3.5-turbo", messages=[{"role": "user", "content": f"处理这封邮件:{email_message.get_payload()}"}] ) print(response.choices[0].message.content)

会议纪要自动化

def summarize_meeting(audio_path): audio_file = open(audio_path, "rb") transcript = client.audio.transcriptions.create( file=audio_file, model="whisper-1", response_format="text" ) summary = client.chat.completions.create( model="gpt-3.5-turbo", messages=[{"role": "user", "content": f"总结会议内容:\n{transcript}"}] ) return summary.choices[0].message.content

自动化数据可视化

import matplotlib.pyplot as plt def smart_visualize(data): analysis = client.chat.completions.create( model="gpt-3.5-turbo", messages=[{"role": "user", "content": f"建议最适合这段数据的图表类型:\n{data.to_string()}"}] ) chart_type = analysis.choices[0].message.content.lower() if "bar" in chart_type: data.plot.bar() elif "line" in chart_type: data.plot.line() elif "pie" in chart_type: data.plot.pie() plt.savefig("auto_chart.png")

这些代码片段展示了如何结合Python与AI技术实现办公自动化。实际应用中需要根据具体需求调整API调用参数和处理逻辑。