Download Utilities

def stream_response_to_file(response, path=None, chunksize=512):
    """
    Stream response content to a file.
    
    Parameters:
    - response: Response object to stream
    - path: str, destination file path (auto-generated if None)
    - chunksize: int, size of chunks to read (default: 512)
    
    Returns:
    str: path to the downloaded file
    """

def get_download_file_path(response, path):
    """
    Generate appropriate file path for download based on response headers.
    
    Parameters:
    - response: Response object
    - path: str, base path or directory
    
    Returns:
    str: complete file path for download
    """

import requests
from requests_toolbelt.downloadutils.stream import stream_response_to_file, get_download_file_path

# Stream large file download
response = requests.get('https://example.com/large-file.zip', stream=True)
local_path = stream_response_to_file(response)
print(f"Downloaded to: {local_path}")

# Specify destination path
response = requests.get('https://example.com/data.json', stream=True)
local_path = stream_response_to_file(response, '/downloads/data.json')

# Auto-generate filename from response headers
response = requests.get('https://example.com/report.pdf', stream=True)
download_path = get_download_file_path(response, '/downloads/')
local_path = stream_response_to_file(response, download_path)

# Custom chunk size for better performance
response = requests.get('https://example.com/video.mp4', stream=True)
local_path = stream_response_to_file(response, chunksize=8192)

def tee(response, fileobject, chunksize=512, decode_content=True):
    """
    Stream response to file-like object while yielding content.
    
    Parameters:
    - response: Response object to stream
    - fileobject: file-like object to write to
    - chunksize: int, size of chunks to read (default: 512)
    - decode_content: bool, whether to decode content (default: True)
    
    Yields:
    bytes: chunks of response content
    """

def tee_to_file(response, filename, chunksize=512, decode_content=True):
    """
    Stream response to file while yielding content.
    
    Parameters:
    - response: Response object to stream
    - filename: str, destination filename
    - chunksize: int, size of chunks to read (default: 512)
    - decode_content: bool, whether to decode content (default: True)
    
    Yields:
    bytes: chunks of response content
    """

def tee_to_bytearray(response, bytearr, chunksize=512, decode_content=True):
    """
    Stream response to bytearray while yielding content.
    
    Parameters:
    - response: Response object to stream
    - bytearr: bytearray to append to
    - chunksize: int, size of chunks to read (default: 512)
    - decode_content: bool, whether to decode content (default: True)
    
    Yields:
    bytes: chunks of response content
    """

import requests
from requests_toolbelt.downloadutils.tee import tee, tee_to_file, tee_to_bytearray

# Save to file while processing content
response = requests.get('https://api.example.com/data.csv', stream=True)

processed_lines = []
with open('data.csv', 'wb') as f:
    for chunk in tee(response, f):
        # Process each chunk while saving to file
        if b'\n' in chunk:
            lines = chunk.split(b'\n')
            processed_lines.extend(lines)

print(f"Processed {len(processed_lines)} lines while saving to file")

# Save to file and collect all content
response = requests.get('https://example.com/api/response.json', stream=True)

all_content = b''
for chunk in tee_to_file(response, 'response.json'):
    all_content += chunk

# Now you have the content both in file and memory
import json
data = json.loads(all_content.decode('utf-8'))

# Stream to bytearray for memory efficiency
response = requests.get('https://example.com/binary-data', stream=True)

data_buffer = bytearray()
hash_calculator = hashlib.sha256()

for chunk in tee_to_bytearray(response, data_buffer, chunksize=8192):
    hash_calculator.update(chunk)

print(f"Downloaded {len(data_buffer)} bytes")
print(f"SHA256: {hash_calculator.hexdigest()}")

# Multiple destinations
response = requests.get('https://example.com/large-file.dat', stream=True)

with open('backup1.dat', 'wb') as f1, open('backup2.dat', 'wb') as f2:
    checksum = hashlib.md5()
    
    for chunk in tee(response, f1):
        f2.write(chunk)  # Write to second file
        checksum.update(chunk)  # Update checksum
    
    print(f"File saved to two locations with MD5: {checksum.hexdigest()}")

import requests
from requests_toolbelt.downloadutils.tee import tee_to_file

def download_with_progress(url, filename):
    """Download file with progress indication."""
    response = requests.get(url, stream=True)
    total_size = int(response.headers.get('Content-Length', 0))
    
    downloaded = 0
    
    for chunk in tee_to_file(response, filename, chunksize=8192):
        downloaded += len(chunk)
        if total_size > 0:
            percent = (downloaded / total_size) * 100
            print(f"\rDownload progress: {percent:.1f}% ({downloaded}/{total_size} bytes)", end='')
    
    print(f"\nDownload complete: {filename}")

# Usage
download_with_progress('https://example.com/large-file.zip', 'local-file.zip')

import requests
import json
from requests_toolbelt.downloadutils.tee import tee_to_file

def download_and_process_json_stream(url, filename):
    """Download JSON stream while processing each object."""
    response = requests.get(url, stream=True)
    
    buffer = ""
    objects_processed = 0
    
    for chunk in tee_to_file(response, filename, decode_content=True):
        buffer += chunk.decode('utf-8')
        
        # Process complete JSON objects
        while '\n' in buffer:
            line, buffer = buffer.split('\n', 1)
            if line.strip():
                try:
                    obj = json.loads(line)
                    # Process the JSON object
                    process_json_object(obj)
                    objects_processed += 1
                except json.JSONDecodeError:
                    pass
    
    print(f"Processed {objects_processed} JSON objects while downloading to {filename}")

def process_json_object(obj):
    """Process individual JSON object."""
    # Your processing logic here
    pass