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用python写的这个文件查询关键字的代码太好用了,赶紧复制!

适用场景

咱们可以想象一个这样的场景,你这边有大量的文件,现在我需要查找一个 序列号:xxxxxx,我想知道这个 序列号:xxxxxx 在哪个文件中。

在没有使用代码脚本的情况下,你可能需要一个文件一个文件打开,然后按 CTRL+F 来进行搜索查询。

那既然我们会使用 python,何不自己写一个呢?本文将实现这样一个工具,且源码全在文章中,只需要复制粘贴即可使用。

思路

主要思路就是通过打开文件夹,获取文件,一个个遍历查找关键字,流程图如下:

怎么样,思路非常简单,所以其实实现也不难。

本文将支持少部分文件类型,更多类型需要读者自己实现:

  • txt
  • docx
  • csv
  • xlsx
  • pptx

1、读取txt

安装库

pip install chardet

代码

import chardet


def detect_encoding(file_path):
    raw_data = None
    with open(file_path, 'rb') as f:
        for line in f:
            raw_data = line
            break

        if raw_data is None:
            raw_data = f.read()
    result = chardet.detect(raw_data)
    return result['encoding']


def read_txt(file_path, keywords=''):
    is_in = False
    encoding = detect_encoding(file_path)
    with open(file_path, 'r', encoding=encoding) as f:
        for line in f:
            if line.find(keywords) != -1:
                is_in = True
                break

    return is_in

我们使用了 chardet 库来判断 txt 的编码,以应对不同编码的读取方式。

2、读取docx

安装库

pip install python-docx

代码

from docx import Document


def read_docx(file_path, keywords=''):
    doc = Document(file_path)
    is_in = False

    for para in doc.paragraphs:
        if para.text.find(keywords) != -1:
            is_in = True
            break

    return is_in

3、读取csv

代码

import csv


def read_csv(file_path, keywords=''):
    is_in = False

    encoding = detect_encoding(file_path)
    with open(file_path, mode='r', encoding=encoding) as f:
        reader = csv.reader(f)

        for row in reader:
            row_text = ''.join([str(v) for v in row])
            if row_text.find(keywords) != -1:
                is_in = True
                break

    return is_in

4、读取xlsx

安装库

pip install openpyxl

代码

from openpyxl import load_workbook


def read_xlsx(file_path, keywords=''):
    wb = load_workbook(file_path)
    sheet_names = wb.sheetnames

    is_in = False
    for sheet_name in sheet_names:
        sheet = wb[sheet_name]
        for row in sheet.iter_rows(values_only=True):
            row_text = ''.join([str(v) for v in row])
            if row_text.find(keywords) != -1:
                is_in = True
                break

    wb.close()

    return is_in

5、读取pptx

安装库

pip install python-pptx 

代码

from pptx import Presentation


def read_ppt(ppt_file, keywords=''):
    prs = Presentation(ppt_file)
    is_in = False
    for slide in prs.slides:
        for shape in slide.shapes:
            if shape.has_text_frame:
                text_frame = shape.text_frame
                for paragraph in text_frame.paragraphs:
                    for run in paragraph.runs:
                        if run.text.find(keywords) != -1:
                            is_in = True
                            break

    return is_in

6、文件夹递归

为了防止文件夹嵌套导致的问题,我们还有一个文件夹递归的操作。

代码

from pathlib import Path


def list_files_recursive(directory):
    file_paths = []

    for path in Path(directory).rglob('*'):
        if path.is_file():
            file_paths.append(str(path))

    return file_paths

完整代码

# -*- coding: utf-8 -*-
from pptx import Presentation
import chardet
from docx import Document
import csv
from openpyxl import load_workbook
from pathlib import Path


def detect_encoding(file_path):
    raw_data = None
    with open(file_path, 'rb') as f:
        for line in f:
            raw_data = line
            break

        if raw_data is None:
            raw_data = f.read()
    result = chardet.detect(raw_data)
    return result['encoding']


def read_txt(file_path, keywords=''):
    is_in = False
    encoding = detect_encoding(file_path)
    with open(file_path, 'r', encoding=encoding) as f:
        for line in f:
            if line.find(keywords) != -1:
                is_in = True
                break

    return is_in


def read_docx(file_path, keywords=''):
    doc = Document(file_path)
    is_in = False

    for para in doc.paragraphs:
        if para.text.find(keywords) != -1:
            is_in = True
            break

    return is_in


def read_csv(file_path, keywords=''):
    is_in = False

    encoding = detect_encoding(file_path)
    with open(file_path, mode='r', encoding=encoding) as f:
        reader = csv.reader(f)

        for row in reader:
            row_text = ''.join([str(v) for v in row])
            if row_text.find(keywords) != -1:
                is_in = True
                break

    return is_in


def read_xlsx(file_path, keywords=''):
    wb = load_workbook(file_path)
    sheet_names = wb.sheetnames

    is_in = False
    for sheet_name in sheet_names:
        sheet = wb[sheet_name]
        for row in sheet.iter_rows(values_only=True):
            row_text = ''.join([str(v) for v in row])
            if row_text.find(keywords) != -1:
                is_in = True
                break

    wb.close()

    return is_in


def read_ppt(ppt_file, keywords=''):
    prs = Presentation(ppt_file)
    is_in = False
    for slide in prs.slides:
        for shape in slide.shapes:
            if shape.has_text_frame:
                text_frame = shape.text_frame
                for paragraph in text_frame.paragraphs:
                    for run in paragraph.runs:
                        if run.text.find(keywords) != -1:
                            is_in = True
                            break

    return is_in


def list_files_recursive(directory):
    file_paths = []

    for path in Path(directory).rglob('*'):
        if path.is_file():
            file_paths.append(str(path))

    return file_paths


if __name__ == '__main__':
    keywords = '测试关键字'
    file_paths = list_files_recursive(r'测试文件夹')
    for file_path in file_paths:
        if file_path.endswith('.txt'):
            is_in = read_txt(file_path, keywords)
        elif file_path.endswith('.docx'):
            is_in = read_docx(file_path, keywords)
        elif file_path.endswith('.csv'):
            is_in = read_csv(file_path, keywords)
        elif file_path.endswith('.xlsx'):
            is_in = read_xlsx(file_path, keywords)
        elif file_path.endswith('.pptx'):
            is_in = read_ppt(file_path, keywords)

        if is_in:
            print(file_path)

结尾

现在你可以十分方便地使用代码查找出各种文件中是否存在关键字了,代码复制即可使用。

如果你喜欢这篇文章,给我点个赞吧!

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