instagram-downloader/run.py
2023-12-19 16:34:37 +07:00

103 lines
3.8 KiB
Python

from selenium import webdriver
from flask import Flask, request, redirect
import concurrent.futures
import re
from collections import OrderedDict
import time
app = Flask(__name__)
# Define the base URL for scraping
base_url = "https://instagram.com" # Replace with your actual base URL
# Initialize WebDriver globally
user_agent = 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/60.0.3112.50 Safari/537.36'
options = webdriver.ChromeOptions()
options.add_argument('--headless')
options.add_argument('--disable-gpu')
options.add_argument('--window-size=1920,1080')
options.add_argument('--no-sandbox')
options.add_argument(f'user-agent={user_agent}')
browser = webdriver.Chrome(executable_path="/usr/bin/chromedriver", options=options)
# Define the maximum cache size and duration in seconds (4 hours)
MAX_CACHE_SIZE = 50
CACHE_DURATION = 4 * 60 * 60 # 4 hours in seconds
cache = OrderedDict(maxlen=MAX_CACHE_SIZE)
# Validate query, modify this regex as needed
VALID_QUERY_REGEX = re.compile(r'^[\w\-\.\/]+$')
# Function to handle web scraping using Selenium
def get_video_source(query_string):
try:
browser.delete_all_cookies()
query_string = "/" + query_string
url = f"{base_url}{query_string}" # Combine base URL and video ID
browser.get(url)
# Replace sleep with explicit wait if possible
browser.implicitly_wait(4)
# Locate the video element using your specific xpath
video_element = browser.find_element_by_xpath(
"/html/body/div[2]/div/div/div[2]/div/div/div[1]/section/main/div[1]/div/article/div/div[1]/div/div/div/div/div/div/div/video"
)
# Get the video source and return it
video_source = video_element.get_attribute("src")
return video_source
except Exception as e:
# Handle exceptions and return a default URL or re-raise the exception
return base_url
@app.route("/", methods=["GET"]) # Route for empty query string
def handle_empty_query():
return redirect("https://github.com/gabrielkheisa/instagram-downloader")
@app.route("/<path:query_string>", methods=["GET"])
def get_video_source_server(query_string):
global cache # Ensure we reference the global cache variable
print(query_string)
if len(query_string) > 30:
return '', 204
if not VALID_QUERY_REGEX.match(query_string):
return "Invalid link", 400
# Clean up entries older than 4 hours
current_time = time.time()
keys_to_remove = []
for key in list(cache.keys()):
value = cache[key]
if isinstance(value, dict) and "timestamp" in value:
timestamp = value["timestamp"]
if current_time - timestamp >= CACHE_DURATION:
keys_to_remove.append(key)
for key in keys_to_remove:
cache.pop(key, None)
if query_string in cache:
# Move the existing entry to the front of the cache and update its timestamp
video_source = cache.pop(query_string)
video_source["timestamp"] = time.time()
cache[query_string] = video_source
return redirect(video_source["url"])
# Create a ThreadPoolExecutor for parallel execution with a timeout of 8 seconds
with concurrent.futures.ThreadPoolExecutor() as executor:
future = executor.submit(get_video_source, query_string)
try:
video_source = future.result(timeout=8) # Timeout set to 8 seconds
# Add the new entry to the cache with a timestamp
cache[query_string] = {"url": video_source, "timestamp": time.time()}
return redirect(video_source)
except concurrent.futures.TimeoutError:
return redirect(base_url) # Handle timeout - return a default URL or handle as needed
if __name__ == "__main__":
app.run(debug=False, port=8080, host="0.0.0.0")