Update comments to American English and ignore scraper_cache

- Translated Croatian comments to American English in notebook_generator.py and playwright_ai_scraper.py.
- Added scraper_cache/ to .gitignore to exclude cache directory from the repository.
This commit is contained in:
lakovicb
2025-04-29 12:03:16 +02:00
parent 1a626abba0
commit 5684963b77
3 changed files with 20 additions and 19 deletions

View File

@@ -6,16 +6,16 @@ import asyncio
from dotenv import load_dotenv
import logging
# Učitavanje .env varijabli
# Loading .env variables
load_dotenv()
# Postavljanje logginga
# Setting up logging
logging.basicConfig(
level=os.getenv("LOG_LEVEL", "INFO").upper(),
format="%(asctime)s - %(levelname)s - %(message)s"
)
# Dodavanje direktorija projekta u sys.path
# Adding project directory to sys.path
project_dir = os.path.join(
"/home/lakov/projects/llm_engineering",
"community-contributions/playwright-bojan"
@@ -23,21 +23,21 @@ project_dir = os.path.join(
if project_dir not in sys.path:
sys.path.insert(0, project_dir)
# Uvoz analyze_content iz playwright_ai_scraper.py
# Importing analyze_content from playwright_ai_scraper.py
try:
from playwright_ai_scraper import analyze_content
except ModuleNotFoundError as e:
logging.error(f"Error importing module: {e}")
sys.exit(1)
# Funkcija za spremanje notebooka
# Function to save the notebook
def save_notebook(url, content):
output_dir = os.path.join(project_dir, "notebooks")
os.makedirs(output_dir, exist_ok=True)
# Izvlačenje domene iz URL-a
# Extracting the domain from the URL
domain = url.split("//")[-1].split("/")[0].replace(".", "_")
filename = f"{domain}_Summary.ipynb"
path = os.path.join(output_dir, filename)
@@ -62,7 +62,7 @@ This notebook contains an AI-generated summary of the website content.
logging.info(f"Notebook saved to: {path}")
return path
# Glavna funkcija
# Main function
async def main():

View File

@@ -10,25 +10,25 @@ from prometheus_client import Counter, Histogram, start_http_server
from diskcache import Cache
from dotenv import load_dotenv
# Učitavanje .env varijabli
# Loading .env variablesi
load_dotenv()
# Postavljanje logginga
# Setting up logging
logging.basicConfig(
level=os.getenv("LOG_LEVEL", "INFO").upper(),
format="%(asctime)s - %(levelname)s - %(message)s"
)
# Postavljanje Prometheus metrika
# Setting up Prometheus metrics
SCRAPE_ATTEMPTS = Counter("scrape_attempts", "Total scraping attempts")
SCRAPE_DURATION = Histogram(
"scrape_duration", "Scraping duration distribution"
)
# Postavljanje cachea
# Setting up cache
cache = Cache("./scraper_cache")
# Prilagođene iznimke
# Custom exceptions
class ScrapingError(Exception):
@@ -51,7 +51,7 @@ class AIScraper:
"AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 "
"Safari/537.36"
]
self.timeout = 60000 # 60 sekundi
self.timeout = 60000 # 60 seconds
self.retries = int(os.getenv("RETRY_COUNT", 2))
self.headless = headless
self.delays = {
@@ -61,7 +61,7 @@ class AIScraper:
}
async def human_interaction(self, page):
"""Simulira ljudsko ponašanje na stranici."""
"""Simulates human behavior on the page."""
try:
for _ in range(random.randint(2, 5)):
x = random.randint(0, 1366)
@@ -79,7 +79,7 @@ class AIScraper:
logging.warning(f"Human interaction failed: {e}")
async def load_page(self, page, url):
"""Učitava stranicu s dinamičkim čekanjem."""
"""Loads the page with dynamic waiting."""
start_time = time.time()
try:
await page.goto(
@@ -106,7 +106,7 @@ class AIScraper:
return False
async def scrape_with_retry(self, url):
"""Scrapa stranicu s ponovnim pokušajima."""
"""Scrapes the page with retries."""
SCRAPE_ATTEMPTS.inc()
start_time = time.time()
async with async_playwright() as p:
@@ -163,7 +163,7 @@ class AIScraper:
raise ScrapingError(f"All attempts to scrape {url} failed")
async def get_cached_content(self, url):
"""Dohvaća sadržaj iz cachea ili scrapa."""
"""Retrieves content from cache or scrapes."""
key = f"content_{url.replace('/', '_')}"
content = cache.get(key)
if content is None:
@@ -179,7 +179,7 @@ class AIScraper:
async def analyze_content(url, headless=True):
"""Analizira sadržaj stranice koristeći OpenAI API."""
"""Analyzes the page content using the OpenAI API."""
try:
scraper = AIScraper(headless=headless)
content = await scraper.get_cached_content(url)
@@ -218,7 +218,7 @@ async def analyze_content(url, headless=True):
async def main():
"""Glavna funkcija za scraping i analizu."""
"""Main function for scraping and analysis."""
try:
port = int(os.getenv("PROMETHEUS_PORT", 8000))
start_http_server(port)