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import time
import random
import requests
import logging
import os
from typing import Any, Optional, Dict
import sys
try:
from curl_cffi import requests as requests_cffi
except ImportError:
requests_cffi = None
try:
import rookiepy
except ImportError:
rookiepy = None
def get_cookies_from_browser(domain: str, browser: str = "any") -> Optional[str]:
"""
Tries to decrypt and load cookies for a specific domain from local browser profiles using rookiepy.
"""
if rookiepy is None:
return None
try:
browser_name = browser.lower()
if browser_name == "any":
method_name = "load"
else:
method_name = browser_name
if hasattr(rookiepy, method_name):
method = getattr(rookiepy, method_name)
cookies_list = method(domains=[domain])
cookie_parts = []
for c in cookies_list:
name = c.get("name")
value = c.get("value")
if name and value:
cookie_parts.append(f"{name}={value}")
return "; ".join(cookie_parts) if cookie_parts else None
except Exception as e:
setup_logging().warning("Automated browser cookie extraction failed for domain %s: %s", domain, str(e))
return None
def parse_netscape_cookies(filepath: str) -> Dict[str, str]:
"""
Parses a standard Netscape/Mozilla cookies.txt file and returns a dictionary
mapping domains to their formatted Cookie header strings.
"""
cookies_by_domain = {}
if not os.path.exists(filepath):
return cookies_by_domain
try:
with open(filepath, "r", encoding="utf-8", errors="ignore") as f:
for line in f:
line = line.strip()
if not line or line.startswith("#"):
continue
parts = line.split("\t")
if len(parts) >= 7:
domain = parts[0].strip().lower()
if domain.startswith("."):
domain = domain[1:]
name = parts[5].strip()
value = parts[6].strip()
if domain not in cookies_by_domain:
cookies_by_domain[domain] = []
cookies_by_domain[domain].append(f"{name}={value}")
except Exception as e:
setup_logging().warning("Error parsing Netscape cookies file %s: %s", filepath, str(e))
formatted_cookies = {}
for domain, parts_list in cookies_by_domain.items():
formatted_cookies[domain] = "; ".join(parts_list)
return formatted_cookies
def test_cookie_extraction_diagnostics() -> Dict[str, Any]:
"""
Runs diagnostic checks on the cookie extraction engine.
Returns status and helpful suggestions on blocks or locks.
"""
results = {
"rookiepy_installed": rookiepy is not None,
"status": "OK",
"message": "Automated cookie extraction is functional."
}
if rookiepy is None:
results["status"] = "MISSING_DEPENDENCY"
results["message"] = "rookiepy library is not installed. Run 'pip install rookiepy' to enable auto-extraction."
return results
try:
# Try a test extraction on a dummy domain to check OS permission / keychains
rookiepy.load(domains=["example.com"])
except PermissionError as pe:
results["status"] = "BLOCKED_BY_AV"
results["message"] = f"Access Denied: {str(pe)}. This is commonly caused by Windows Defender or local Antivirus blocking credential extraction. Please whitelist this directory."
except Exception as e:
err_msg = str(e)
if "lock" in err_msg.lower() or "database is locked" in err_msg.lower():
results["status"] = "DATABASE_LOCKED"
results["message"] = "Browser database is locked. Please close Chrome/Edge/Firefox completely before extracting cookies."
else:
results["status"] = "ERROR"
results["message"] = f"Extraction failed: {err_msg}"
return results
def setup_logging():
"""
Configures the standard Python logger to write structured logs to reports/focal_harvest.log.
"""
os.makedirs("reports", exist_ok=True)
logger = logging.getLogger("focal_harvest")
if not logger.handlers:
logger.setLevel(logging.INFO)
file_handler = logging.FileHandler("reports/focal_harvest.log", encoding="utf-8")
formatter = logging.Formatter('%(asctime)s - %(levelname)s - [%(filename)s:%(lineno)d] - %(message)s')
file_handler.setFormatter(formatter)
logger.addHandler(file_handler)
return logger
def safe_request(method: str, url: str, **kwargs: Any) -> requests.Response:
"""
Executes an HTTP request using requests with configurable retry limits and
exponential backoff with random jitter.
"""
# Load settings from config to allow user customization
try:
import config_manager
config = config_manager.load_config()
max_retries = config.get("max_retries", 3)
backoff_factor = config.get("backoff_factor", 1.0)
status_codes = config.get("retry_on_status_codes", [429, 500, 502, 503, 504])
except Exception:
max_retries = 3
backoff_factor = 1.0
status_codes = [429, 500, 502, 503, 504]
logger = setup_logging()
attempt = 0
while True:
try:
config = {}
# Auto-inject configured session cookies and user-agents from config if present
try:
import config_manager
config = config_manager.load_config()
# Parse the target domain
import urllib.parse
parsed_url = urllib.parse.urlparse(url)
netloc = parsed_url.netloc.lower()
# Check for custom User-Agent override first
custom_ua = config.get("custom_user_agent")
if custom_ua:
if "headers" not in kwargs or kwargs["headers"] is None:
kwargs["headers"] = {}
kwargs["headers"]["User-Agent"] = custom_ua
matched_domain = None
cookie_val = None
# 0. Check for a cookies.txt file (check config/cookies.txt first, then root fallback)
cookie_path = None
if os.path.exists(os.path.join("config", "cookies.txt")):
cookie_path = os.path.join("config", "cookies.txt")
elif os.path.exists("cookies.txt"):
cookie_path = "cookies.txt"
if cookie_path:
netscape_cookies = parse_netscape_cookies(cookie_path)
for dom in netscape_cookies:
if netloc == dom or netloc.endswith("." + dom):
cookie_val = netscape_cookies[dom]
matched_domain = dom
break
# 1. Check auto-extraction next if enabled
if not cookie_val and config.get("auto_extract_cookies", False):
parts = netloc.split(".")
if len(parts) >= 2:
root_domain = ".".join(parts[-2:])
if len(parts) >= 3 and parts[-2] in ["com", "co", "org", "net", "edu", "gov"]:
root_domain = ".".join(parts[-3:])
else:
root_domain = netloc
cookie_val = get_cookies_from_browser(root_domain, config.get("browser_source", "any"))
if cookie_val:
matched_domain = root_domain
# 2. Fallback to universal_cookies map
if not cookie_val:
universal_cookies = config.get("universal_cookies", {})
for dom in universal_cookies:
if netloc == dom or netloc.endswith("." + dom):
cookie_val = universal_cookies[dom]
matched_domain = dom
break
# Apply cookie and autodetect Edge User-Agent matching
if cookie_val:
if "headers" not in kwargs or kwargs["headers"] is None:
kwargs["headers"] = {}
kwargs["headers"]["Cookie"] = cookie_val
# If the cookie has edgebucket and no custom User-Agent is set, default to Edge User-Agent to prevent 403 blocks
if "edgebucket" in cookie_val and not custom_ua:
kwargs["headers"]["User-Agent"] = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36 Edg/120.0.0.0"
else:
# If no cookies are configured, use Discordbot User-Agent to bypass Quora guest walls
if "quora.com" in netloc and not custom_ua:
if "headers" not in kwargs or kwargs["headers"] is None:
kwargs["headers"] = {}
kwargs["headers"]["User-Agent"] = "Discordbot/2.0 (+https://discordapp.com)"
except Exception:
pass
# Auto-inject configured proxies if not explicitly passed
if "proxies" not in kwargs or not kwargs["proxies"]:
p_dict = get_configured_proxies(config)
if p_dict:
kwargs["proxies"] = p_dict
proxy_info = ""
if "proxies" in kwargs and kwargs["proxies"]:
raw_p = kwargs["proxies"].get("https") or kwargs["proxies"].get("http") or ""
proxy_info = f" [Proxy: {mask_proxy_url(raw_p)}]"
logger.info("Executing HTTP %s request to URL: %s%s (attempt %d) with headers: %s", method.upper(), url, proxy_info, attempt + 1, {k: (v[:30] + "..." if len(v) > 30 else v) for k, v in kwargs.get("headers", {}).items()})
if requests_cffi is not None and 'unittest' not in sys.modules:
# Use curl_cffi to impersonate standard Chrome browser TLS/JA3 signatures
# Strip conflicting browser headers so curl_cffi generates consistent fingerprints
if "headers" in kwargs and kwargs["headers"]:
cleaned = {}
allowed = ["user-agent", "cookie", "accept", "accept-language", "authorization", "content-type"]
for k, v in kwargs["headers"].items():
if k.lower() in allowed:
cleaned[k] = v
kwargs["headers"] = cleaned
response = requests_cffi.request(method.lower(), url, impersonate="chrome", **kwargs)
else:
req_func = getattr(requests, method.lower())
response = req_func(url, **kwargs)
# Check if response status code triggers a retry
if response.status_code in status_codes and attempt < max_retries:
attempt += 1
if response.status_code == 429:
# Rate limit requires a longer cooling period to let the 60s window reset
sleep_time = 10.0 * attempt + random.uniform(0.5, 1.5)
else:
sleep_time = backoff_factor * (2 ** (attempt - 1)) + random.uniform(0.1, 0.5)
logger.warning("HTTP %d received for %s. Retrying %d/%d in %.2fs...", response.status_code, url, attempt, max_retries, sleep_time)
time.sleep(sleep_time)
continue
logger.info("HTTP %s returned status %d for URL: %s", method.upper(), response.status_code, url)
return response
except Exception as e:
err_msg = str(e).lower()
logger.error("Exception during HTTP request to %s: %s", url, str(e))
# Do NOT retry on timeout errors to avoid hanging the thread pool on tarpitted sites
if "timeout" in err_msg or "timed out" in err_msg or "time out" in err_msg:
raise e
if attempt < max_retries:
attempt += 1
sleep_time = backoff_factor * (2 ** (attempt - 1)) + random.uniform(0.1, 0.5)
logger.warning("Retrying request to %s due to exception (%d/%d) in %.2fs...", url, attempt, max_retries, sleep_time)
time.sleep(sleep_time)
continue
raise e
import threading
class TokenBucket:
def __init__(self, capacity: float, fill_rate: float):
"""
capacity: maximum tokens the bucket can hold
fill_rate: tokens refilled per second
"""
self.capacity = float(capacity)
self.fill_rate = float(fill_rate)
self.tokens = float(capacity)
self.last_update = time.time()
self.lock = threading.Lock()
def consume(self, amount: float = 1.0) -> bool:
with self.lock:
now = time.time()
elapsed = now - self.last_update
self.last_update = now
self.tokens = min(self.capacity, self.tokens + elapsed * self.fill_rate)
if self.tokens >= amount:
self.tokens -= amount
return True
return False
def wait_for_token(self, amount: float = 1.0):
while True:
if self.consume(amount):
return
with self.lock:
now = time.time()
elapsed = now - self.last_update
current_tokens = min(self.capacity, self.tokens + elapsed * self.fill_rate)
needed = amount - current_tokens
sleep_time = needed / self.fill_rate
time.sleep(max(0.1, sleep_time))
def decompose_query_locally(query: str) -> list:
"""
Decomposes a user query locally into 4-5 highly targeted sub-questions
or search vectors without making any external API calls.
"""
import re
query_clean = query.strip()
# 1. Detect Comparison Intent (matches "vs", "vs.", "compared to", etc.)
comparison_triggers = [r"\bvs\b", r"\bvs\.\b", r"\bcompared to\b", r"\bdifference between\b"]
is_comparison = False
connector = None
for trigger in comparison_triggers:
match = re.search(trigger, query_clean, re.IGNORECASE)
if match:
is_comparison = True
connector = match.group(0)
break
if is_comparison:
parts = re.split(re.escape(connector), query_clean, flags=re.IGNORECASE)
if len(parts) == 2:
entity_a = parts[0].strip()
entity_b = parts[1].strip()
return [
query_clean,
f"{entity_a} vs {entity_b} pricing cost",
f"{entity_a} vs {entity_b} latency speed benchmarks",
f"{entity_a} vs {entity_b} features context window",
f"{entity_a} vs {entity_b} developer use cases reddit reviews"
]
# 2. Informational Fallback (Noun Phrase keyword extraction)
stop_words = {"what", "is", "how", "to", "the", "a", "an", "and", "in", "on", "for", "with", "about", "why", "of"}
words = [w for w in re.findall(r"\b\w+\b", query_clean.lower()) if w not in stop_words]
core_topic = " ".join(words[:4]) if words else query_clean
return [
query_clean,
f"{core_topic} guide documentation tutorial",
f"{core_topic} code examples github implementation",
f"{core_topic} problems bottlenecks errors issues",
f"{core_topic} best practices latest updates"
]
def mask_proxy_url(proxy_url: str) -> str:
"""Masks credentials in a proxy URL for safe logging (e.g. http://user:pass@ip:port -> http://user:***@ip:port)."""
if not proxy_url:
return ""
import urllib.parse
try:
parsed = urllib.parse.urlparse(proxy_url)
if parsed.password:
netloc = f"{parsed.username}:***@{parsed.hostname}"
if parsed.port:
netloc += f":{parsed.port}"
return urllib.parse.urlunparse((parsed.scheme, netloc, parsed.path, parsed.params, parsed.query, parsed.fragment))
except Exception:
pass
return proxy_url
def get_configured_proxies(config: Optional[Dict[str, Any]] = None) -> Dict[str, str]:
"""
Returns a proxies dictionary for requests/curl_cffi if proxy is enabled in config or environment variables.
Checks config.json first (proxy_enabled & proxy_url), then environment variables (HTTP_PROXY/HTTPS_PROXY).
"""
if config is None:
try:
import config_manager
config = config_manager.load_config()
except Exception:
config = {}
proxy_url = ""
if config.get("proxy_enabled"):
proxy_url = config.get("proxy_url", "").strip()
if not proxy_url and config.get("proxy_list"):
proxy_url = random.choice(config.get("proxy_list"))
if not proxy_url:
proxy_url = os.environ.get("HTTPS_PROXY") or os.environ.get("HTTP_PROXY") or os.environ.get("all_proxy") or ""
if proxy_url:
return {
"http": proxy_url,
"https": proxy_url
}
return {}
def extract_topic_from_url(url: str) -> str:
"""
Extracts a clean, human-readable search query topic from a URL slug for Task 12 Dynamic Topic Expansion.
Example:
'https://old.reddit.com/r/python/comments/1fsycjm/optimizing_fastapi_performance/'
-> 'optimizing fastapi performance'
"""
if not url:
return ""
import urllib.parse
import re
try:
parsed = urllib.parse.urlparse(url)
path = parsed.path.strip("/")
if not path:
return ""
segments = [s for s in path.split("/") if s]
ignore_segments = {"r", "comments", "questions", "posts", "wiki", "p", "blog", "articles", "item"}
candidate_slugs = []
for seg in reversed(segments):
if seg.lower() in ignore_segments:
continue
if re.match(r"^[0-9a-fA-F]{1,12}$", seg) or re.match(r"^\d+$", seg):
continue
candidate_slugs.append(seg)
if candidate_slugs:
best_slug = candidate_slugs[0]
clean_slug = urllib.parse.unquote(best_slug)
clean_slug = re.sub(r"[-_]+", " ", clean_slug)
clean_slug = re.sub(r"[^\w\s]", "", clean_slug).strip()
if len(clean_slug.split()) >= 2 or len(clean_slug) > 10:
return clean_slug
except Exception:
pass
return ""