2023-03-31

Manage temporary files and directories with tempfile

What is Tempfile Module

The tempfile module in Python is a powerful tool designed to create and manage temporary files and directories securely and efficiently. Temporary files are useful in situations where data needs to be stored temporarily during the execution of a program or when you want to work with large data sets without consuming too much memory. The tempfile module provides various methods to create temporary files, named temporary files, temporary directories, and spooled temporary files, all with built-in clean-up mechanisms.

TemporaryFile

Creating a temporary file using tempfile.TemporaryFile() is easy. The function takes the following optional arguments:

python
tempfile.TemporaryFile(mode='w+b', buffering=None, encoding=None, newline=None, suffix=None, prefix=None, dir=None)
Argument Description
mode The file access mode, which defaults to 'w+b' (read and write in binary mode).
buffering The buffering policy, which follows the standard rules for file objects. If not specified, the default is to use the system's default buffering policy.
encoding The encoding to use when opening the file in text mode. Ignored if the file is opened in binary mode.
newline Controls how universal newlines work. Defaults to None.
suffix The optional suffix for the temporary file's name.
prefix The optional prefix for the temporary file's name.
dir The directory where the temporary file will be created. If not specified, it defaults to the system's default temporary directory.

TemporaryFile Modes and Encoding

As mentioned earlier, the default mode for a TemporaryFile is 'w+b', which means read and write access in binary mode. However, you can change the mode to 'w+t' if you prefer working with text data.

Real-World Example

Suppose you are processing a large CSV file, and you need to filter out rows based on specific criteria. You can use a TemporaryFile to store the filtered data temporarily before writing it to a new CSV file.

python
import csv
import tempfile

input_file = 'large_data.csv'
output_file = 'filtered_data.csv'

with open(input_file, 'r') as csv_file:
    reader = csv.reader(csv_file)
    header = next(reader)

    with tempfile.TemporaryFile(mode='w+t', newline='') as temp_file:
        writer = csv.writer(temp_file)
        writer.writerow(header)

        for row in reader:
            if some_criteria(row):
                writer.writerow(row)

        temp_file.seek(0)

        with open(output_file, 'w') as out_file:
            out_file.writelines(temp_file.readlines())

NamedTemporaryFile

tempfile.NamedTemporaryFile() is similar to TemporaryFile but generates a named temporary file that can be accessed by other processes using its name. The function takes the same optional arguments as TemporaryFile:

python
tempfile.NamedTemporaryFile(mode='w+b', buffering=None, encoding=None, newline=None, suffix=None, prefix=None, dir=None, delete=True)
Argument Description
delete If set to True (default), the file will be deleted when it is closed.

NamedTemporaryFile Modes and Encoding

The default mode and encoding options for NamedTemporaryFile are the same as TemporaryFile. You can change them based on your requirements.

Real-World Example

Suppose you are working on a web application where users can upload images for processing. You can use NamedTemporaryFile to save the uploaded images temporarily before processing them.

python
import os
from flask import Flask, request
from werkzeug.utils import secure_filename
import tempfile

app = Flask(__name__)

@app.route('/upload', methods=['POST'])
def upload_file():
    file = request.files['image']
    filename = secure_filename(file.filename)

    with tempfile.NamedTemporaryFile(suffix='.jpg', delete=False) as temp:
        file.save(temp.name)

        # Process the image using the temporary file
        processed_image = process_image(temp.name)

        # Remove the temporary file
        os.remove(temp.name)

    return send_file(processed_image)

if __name__ == '__main__':
    app.run()

TemporaryDirectory

tempfile.TemporaryDirectory() creates a temporary directory that can be used as a context manager. The function takes the following optional arguments:

python
tempfile.TemporaryDirectory(suffix=None, prefix=None, dir=None)

suffix, prefix, and dir have the same meaning as in TemporaryFile and NamedTemporaryFile.

Real-World Example

Imagine you are developing a script that downloads multiple files from a remote server, processes them, and then combines the results. You can use a TemporaryDirectory to store and manage the downloaded files.

python
import urllib.request
import tempfile
import os

urls = ['https://example.com/file1.txt', 'https://example.com/file2.txt']
temp_dir_path = None

with tempfile.TemporaryDirectory() as temp_dir:
    temp_dir_path = temp_dir

    for url in urls:
        filename = os.path.basename(url)
        temp_file_path = os.path.join(temp_dir_path, filename)

        with urllib.request.urlopen(url) as response, open(temp_file_path, 'wb') as out_file:
            out_file.write(response.read())

    # Process and combine files from the temporary directory
    combined_result = process_files(temp_dir_path)

# Temporary directory and its contents are automatically deleted

SpooledTemporaryFile

tempfile.SpooledTemporaryFile() creates a temporary file that is stored in memory until a specified size is reached, after which it is automatically rolled over to disk. This function takes the same optional arguments as TemporaryFile, with an additional argument:

python
tempfile.SpooledTemporaryFile(max_size=0, mode='w+b', buffering=None, encoding=None, newline=None, suffix=None, prefix=None, dir=None)
Argument Description
max_size The maximum size (in bytes) of the temporary file that will be stored in memory before being rolled over to disk. If set to 0 (default), the file will be stored in memory indefinitely.

SpooledTemporaryFile Modes and Encoding

The default mode and encoding options for SpooledTemporaryFile are the same as TemporaryFile and NamedTemporaryFile. You can change them based on your requirements.

Real-World Example

Suppose you are fetching JSON data from a REST API, and you need to save the data to a file. You can use SpooledTemporaryFile to store the data temporarily in memory and write it to a file when the size exceeds a certain threshold.

python
import requests
import json
import tempfile

api_url = 'https://api.example.com/data'
output_file = 'large_data.json'
max_size = 1024 * 1024  # 1 MB

response = requests.get(api_url)
json_data = json.dumps(response.json())

with tempfile.SpooledTemporaryFile(max_size=max_size, mode='w+t', encoding='utf-8') as temp_file:
    temp_file.write(json_data)

    temp_file.seek(0)

    with open(output_file, 'w') as out_file:
        out_file.writelines(temp_file.readlines())

References

https://docs.python.org/3/library/tempfile.html

Ryusei Kakujo

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