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"""
src/utils/tool_factory.py
Tool Factory Pattern for Parallel Agent Execution
This module provides a factory pattern for creating independent tool instances
for each agent, enabling safe parallel execution without shared state issues.
Usage:
from src.utils.tool_factory import create_tool_set
class MyAgentNode:
def __init__(self):
# Each agent gets its own private tool set
self.tools = create_tool_set()
def some_method(self, state):
twitter_tool = self.tools.get("scrape_twitter")
result = twitter_tool.invoke({"query": "..."})
"""
from typing import Dict, Any, Optional, List
import logging
logger = logging.getLogger("Roger.tool_factory")
class ToolSet:
"""
Encapsulates a complete set of independent tool instances for an agent.
Each ToolSet instance contains its own copy of all tools, ensuring
that parallel agents don't share state or create race conditions.
Thread Safety:
Each ToolSet is independent. Multiple agents can safely use
their own ToolSet instances in parallel without conflicts.
Example:
agent1_tools = ToolSet()
agent2_tools = ToolSet()
# These are independent instances - no shared state
agent1_tools.get("scrape_twitter").invoke({...})
agent2_tools.get("scrape_twitter").invoke({...}) # Safe to run in parallel
"""
def __init__(self, include_profile_scrapers: bool = True):
"""
Initialize a new ToolSet with fresh tool instances.
Args:
include_profile_scrapers: Whether to include profile-based scrapers
(Twitter profile, LinkedIn profile, etc.)
"""
self._tools: Dict[str, Any] = {}
self._include_profile_scrapers = include_profile_scrapers
self._create_tools()
logger.debug(f"ToolSet created with {len(self._tools)} tools")
def get(self, tool_name: str) -> Optional[Any]:
"""
Get a tool by name.
Args:
tool_name: Name of the tool (e.g., "scrape_twitter", "scrape_reddit")
Returns:
Tool instance if found, None otherwise
"""
return self._tools.get(tool_name)
def as_dict(self) -> Dict[str, Any]:
"""
Get all tools as a dictionary.
Returns:
Dictionary mapping tool names to tool instances
"""
return self._tools.copy()
def list_tools(self) -> List[str]:
"""
List all available tool names.
Returns:
List of tool names in this ToolSet
"""
return list(self._tools.keys())
def _create_tools(self) -> None:
"""
Create fresh instances of all tools.
This method imports and creates new tool instances, ensuring
each ToolSet has its own independent copies.
"""
from langchain_core.tools import tool
import json
from datetime import datetime
# Import implementation functions from utils
# These are stateless functions that can be safely wrapped
from src.utils.utils import (
scrape_reddit_impl,
scrape_local_news_impl,
scrape_cse_stock_impl,
scrape_government_gazette_impl,
scrape_parliament_minutes_impl,
scrape_train_schedule_impl,
PLAYWRIGHT_AVAILABLE,
ensure_playwright,
load_playwright_storage_state_path,
create_or_restore_playwright_session,
clean_twitter_text,
extract_twitter_timestamp,
clean_fb_text,
clean_linkedin_text,
extract_media_id_instagram,
fetch_caption_via_private_api,
)
# ============================================
# CREATE FRESH TOOL INSTANCES
# ============================================
# --- Reddit Tool ---
@tool
def scrape_reddit(
keywords: List[str], limit: int = 20, subreddit: Optional[str] = None
):
"""
Scrape Reddit for posts matching specific keywords.
Optionally restrict to a specific subreddit.
"""
data = scrape_reddit_impl(
keywords=keywords, limit=limit, subreddit=subreddit
)
return json.dumps(data, default=str)
self._tools["scrape_reddit"] = scrape_reddit
# --- Local News Tool ---
@tool
def scrape_local_news(
keywords: Optional[List[str]] = None, max_articles: int = 30
):
"""
Scrape local Sri Lankan news from Daily Mirror, Daily FT, and News First.
"""
data = scrape_local_news_impl(keywords=keywords, max_articles=max_articles)
return json.dumps(data, default=str)
self._tools["scrape_local_news"] = scrape_local_news
# --- CSE Stock Tool ---
@tool
def scrape_cse_stock_data(
symbol: str = "ASPI", period: str = "1d", interval: str = "1h"
):
"""
Fetch Colombo Stock Exchange data using yfinance.
"""
data = scrape_cse_stock_impl(
symbol=symbol, period=period, interval=interval
)
return json.dumps(data, default=str)
self._tools["scrape_cse_stock_data"] = scrape_cse_stock_data
# --- Government Gazette Tool ---
@tool
def scrape_government_gazette(
keywords: Optional[List[str]] = None, max_items: int = 15
):
"""
Scrape latest government gazettes from gazette.lk.
"""
data = scrape_government_gazette_impl(
keywords=keywords, max_items=max_items
)
return json.dumps(data, default=str)
self._tools["scrape_government_gazette"] = scrape_government_gazette
# --- Parliament Minutes Tool ---
@tool
def scrape_parliament_minutes(
keywords: Optional[List[str]] = None, max_items: int = 20
):
"""
Scrape parliament Hansard and minutes from parliament.lk.
"""
data = scrape_parliament_minutes_impl(
keywords=keywords, max_items=max_items
)
return json.dumps(data, default=str)
self._tools["scrape_parliament_minutes"] = scrape_parliament_minutes
# --- Train Schedule Tool ---
@tool
def scrape_train_schedule(
from_station: Optional[str] = None,
to_station: Optional[str] = None,
keyword: Optional[str] = None,
max_items: int = 30,
):
"""
Scrape train schedules from railway.gov.lk.
"""
data = scrape_train_schedule_impl(
from_station=from_station,
to_station=to_station,
keyword=keyword,
max_items=max_items,
)
return json.dumps(data, default=str)
self._tools["scrape_train_schedule"] = scrape_train_schedule
# --- Think Tool (Agent Reasoning) ---
@tool
def think_tool(thought: str) -> str:
"""
Use this tool to think through complex problems step-by-step.
Write out your reasoning process here before taking action.
"""
return f"Thought recorded: {thought}"
self._tools["think_tool"] = think_tool
# ============================================
# PLAYWRIGHT-BASED TOOLS (Social Media)
# ============================================
if PLAYWRIGHT_AVAILABLE:
self._create_playwright_tools()
else:
logger.warning(
"Playwright not available - social media tools will be limited"
)
self._create_fallback_social_tools()
# ============================================
# PROFILE SCRAPERS (Competitive Intelligence)
# ============================================
if self._include_profile_scrapers:
self._create_profile_scraper_tools()
def _create_playwright_tools(self) -> None:
"""Create Playwright-based social media tools."""
from langchain_core.tools import tool
import json
import os
import time
import random
import re
from datetime import datetime
from urllib.parse import quote_plus
from playwright.sync_api import sync_playwright
from src.utils.utils import (
ensure_playwright,
load_playwright_storage_state_path,
clean_twitter_text,
extract_twitter_timestamp,
clean_fb_text,
clean_linkedin_text,
extract_media_id_instagram,
fetch_caption_via_private_api,
)
# --- Twitter Tool ---
@tool
def scrape_twitter(query: str = "Sri Lanka", max_items: int = 20):
"""
Twitter scraper - extracts actual tweet text, author, and metadata using Playwright session.
Requires a valid Twitter session file.
"""
ensure_playwright()
# Load Session
site = "twitter"
session_path = load_playwright_storage_state_path(
site, out_dir="src/utils/.sessions"
)
if not session_path:
session_path = load_playwright_storage_state_path(
site, out_dir=".sessions"
)
# Check for alternative session file name
if not session_path:
alt_paths = [
os.path.join(
os.getcwd(), "src", "utils", ".sessions", "tw_state.json"
),
os.path.join(os.getcwd(), ".sessions", "tw_state.json"),
os.path.join(os.getcwd(), "tw_state.json"),
]
for path in alt_paths:
if os.path.exists(path):
session_path = path
break
if not session_path:
return json.dumps(
{
"error": "No Twitter session found",
"solution": "Run the Twitter session manager to create a session",
},
default=str,
)
results = []
try:
with sync_playwright() as p:
browser = p.chromium.launch(
headless=True,
args=[
"--disable-blink-features=AutomationControlled",
"--no-sandbox",
"--disable-dev-shm-usage",
],
)
context = browser.new_context(
storage_state=session_path,
viewport={"width": 1280, "height": 720},
user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
)
context.add_init_script(
"""
Object.defineProperty(navigator, 'webdriver', {get: () => undefined});
window.chrome = {runtime: {}};
"""
)
page = context.new_page()
search_urls = [
f"https://x.com/search?q={quote_plus(query)}&src=typed_query&f=live",
f"https://x.com/search?q={quote_plus(query)}&src=typed_query",
]
success = False
for url in search_urls:
try:
page.goto(url, timeout=60000, wait_until="domcontentloaded")
time.sleep(5)
# Handle popups
popup_selectors = [
"[data-testid='app-bar-close']",
"[aria-label='Close']",
"button:has-text('Not now')",
]
for selector in popup_selectors:
try:
if (
page.locator(selector).count() > 0
and page.locator(selector).first.is_visible()
):
page.locator(selector).first.click()
time.sleep(1)
except:
pass
try:
page.wait_for_selector(
"article[data-testid='tweet']", timeout=15000
)
success = True
break
except:
continue
except:
continue
if not success or "login" in page.url:
return json.dumps(
{"error": "Session invalid or tweets not found"},
default=str,
)
# Scraping
seen = set()
scroll_attempts = 0
max_scroll_attempts = 15
TWEET_SELECTOR = "article[data-testid='tweet']"
TEXT_SELECTOR = "div[data-testid='tweetText']"
USER_SELECTOR = "div[data-testid='User-Name']"
while (
len(results) < max_items
and scroll_attempts < max_scroll_attempts
):
scroll_attempts += 1
# Expand "Show more" buttons
try:
show_more_buttons = page.locator(
"[data-testid='tweet-text-show-more-link']"
).all()
for button in show_more_buttons:
if button.is_visible():
try:
button.click()
time.sleep(0.3)
except:
pass
except:
pass
tweets = page.locator(TWEET_SELECTOR).all()
new_tweets_found = 0
for tweet in tweets:
if len(results) >= max_items:
break
try:
tweet.scroll_into_view_if_needed()
time.sleep(0.1)
if (
tweet.locator("span:has-text('Promoted')").count()
> 0
or tweet.locator("span:has-text('Ad')").count() > 0
):
continue
text_content = ""
text_element = tweet.locator(TEXT_SELECTOR).first
if text_element.count() > 0:
text_content = text_element.inner_text()
cleaned_text = clean_twitter_text(text_content)
user_info = "Unknown"
user_element = tweet.locator(USER_SELECTOR).first
if user_element.count() > 0:
user_text = user_element.inner_text()
user_info = user_text.split("\n")[0].strip()
timestamp = extract_twitter_timestamp(tweet)
text_key = cleaned_text[:50] if cleaned_text else ""
unique_key = f"{user_info}_{text_key}"
if (
cleaned_text
and len(cleaned_text) > 20
and unique_key not in seen
and not any(
word in cleaned_text.lower()
for word in ["promoted", "advertisement"]
)
):
seen.add(unique_key)
results.append(
{
"source": "Twitter",
"poster": user_info,
"text": cleaned_text,
"timestamp": timestamp,
"url": "https://x.com",
}
)
new_tweets_found += 1
except:
continue
if len(results) < max_items:
page.evaluate(
"window.scrollTo(0, document.documentElement.scrollHeight)"
)
time.sleep(random.uniform(2, 3))
if new_tweets_found == 0:
scroll_attempts += 1
browser.close()
return json.dumps(
{
"source": "Twitter",
"query": query,
"results": results,
"total_found": len(results),
"fetched_at": datetime.utcnow().isoformat(),
},
default=str,
)
except Exception as e:
return json.dumps({"error": str(e)}, default=str)
self._tools["scrape_twitter"] = scrape_twitter
# --- LinkedIn Tool ---
@tool
def scrape_linkedin(keywords: Optional[List[str]] = None, max_items: int = 10):
"""
LinkedIn search using Playwright session.
Requires environment variables: LINKEDIN_USER, LINKEDIN_PASSWORD (if creating session).
"""
ensure_playwright()
site = "linkedin"
session_path = load_playwright_storage_state_path(
site, out_dir="src/utils/.sessions"
)
if not session_path:
session_path = load_playwright_storage_state_path(
site, out_dir=".sessions"
)
if not session_path:
return json.dumps({"error": "No LinkedIn session found"}, default=str)
keyword = " ".join(keywords) if keywords else "Sri Lanka"
results = []
try:
with sync_playwright() as p:
browser = p.chromium.launch(headless=True)
context = browser.new_context(
storage_state=session_path,
user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
no_viewport=True,
)
page = context.new_page()
url = f"https://www.linkedin.com/search/results/content/?keywords={keyword.replace(' ', '%20')}"
try:
page.goto(url, timeout=60000, wait_until="domcontentloaded")
except:
pass
page.wait_for_timeout(random.randint(4000, 7000))
try:
if (
page.locator("a[href*='login']").is_visible()
or "auth_wall" in page.url
):
return json.dumps({"error": "Session invalid"})
except:
pass
seen = set()
no_new_data_count = 0
previous_height = 0
POST_SELECTOR = "div.feed-shared-update-v2, li.artdeco-card"
TEXT_SELECTOR = (
"div.update-components-text span.break-words, span.break-words"
)
POSTER_SELECTOR = (
"span.update-components-actor__name span[dir='ltr']"
)
while len(results) < max_items:
try:
see_more_buttons = page.locator(
"button.feed-shared-inline-show-more-text__see-more-less-toggle"
).all()
for btn in see_more_buttons:
if btn.is_visible():
try:
btn.click(timeout=500)
except:
pass
except:
pass
posts = page.locator(POST_SELECTOR).all()
for post in posts:
if len(results) >= max_items:
break
try:
post.scroll_into_view_if_needed()
raw_text = ""
text_el = post.locator(TEXT_SELECTOR).first
if text_el.is_visible():
raw_text = text_el.inner_text()
cleaned_text = clean_linkedin_text(raw_text)
poster_name = "(Unknown)"
poster_el = post.locator(POSTER_SELECTOR).first
if poster_el.is_visible():
poster_name = poster_el.inner_text().strip()
key = f"{poster_name[:20]}::{cleaned_text[:30]}"
if (
cleaned_text
and len(cleaned_text) > 20
and key not in seen
):
seen.add(key)
results.append(
{
"source": "LinkedIn",
"poster": poster_name,
"text": cleaned_text,
"url": "https://www.linkedin.com",
}
)
except:
continue
page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
page.wait_for_timeout(random.randint(2000, 4000))
new_height = page.evaluate("document.body.scrollHeight")
if new_height == previous_height:
no_new_data_count += 1
if no_new_data_count > 3:
break
else:
no_new_data_count = 0
previous_height = new_height
browser.close()
return json.dumps(
{"site": "LinkedIn", "results": results}, default=str
)
except Exception as e:
return json.dumps({"error": str(e)})
self._tools["scrape_linkedin"] = scrape_linkedin
# --- Facebook Tool ---
@tool
def scrape_facebook(keywords: Optional[List[str]] = None, max_items: int = 10):
"""
Facebook scraper using Playwright session (Desktop).
Extracts posts from keyword search with poster names and text.
"""
ensure_playwright()
site = "facebook"
session_path = load_playwright_storage_state_path(
site, out_dir="src/utils/.sessions"
)
if not session_path:
session_path = load_playwright_storage_state_path(
site, out_dir=".sessions"
)
if not session_path:
alt_paths = [
os.path.join(
os.getcwd(), "src", "utils", ".sessions", "fb_state.json"
),
os.path.join(os.getcwd(), ".sessions", "fb_state.json"),
]
for path in alt_paths:
if os.path.exists(path):
session_path = path
break
if not session_path:
return json.dumps({"error": "No Facebook session found"}, default=str)
keyword = " ".join(keywords) if keywords else "Sri Lanka"
results = []
try:
with sync_playwright() as p:
browser = p.chromium.launch(headless=True)
context = browser.new_context(
storage_state=session_path,
user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
viewport={"width": 1400, "height": 900},
)
page = context.new_page()
search_url = f"https://www.facebook.com/search/posts?q={keyword.replace(' ', '%20')}"
page.goto(search_url, timeout=120000)
time.sleep(5)
seen = set()
stuck = 0
last_scroll = 0
MESSAGE_SELECTOR = "div[data-ad-preview='message']"
POSTER_SELECTORS = [
"h3 strong a span",
"h3 strong span",
"strong a span",
"a[role='link'] span",
]
def extract_poster(post):
parent = post.locator(
"xpath=ancestor::div[contains(@class, 'x1yztbdb')][1]"
)
for selector in POSTER_SELECTORS:
try:
el = parent.locator(selector).first
if el and el.count() > 0:
name = el.inner_text().strip()
if name and name != "Facebook" and len(name) > 1:
return name
except:
pass
return "(Unknown)"
while len(results) < max_items:
posts = page.locator(MESSAGE_SELECTOR).all()
for post in posts:
try:
raw = post.inner_text().strip()
cleaned = clean_fb_text(raw)
poster = extract_poster(post)
if cleaned and len(cleaned) > 30:
key = poster + "::" + cleaned
if key not in seen:
seen.add(key)
results.append(
{
"source": "Facebook",
"poster": poster,
"text": cleaned,
"url": "https://www.facebook.com",
}
)
if len(results) >= max_items:
break
except:
pass
page.evaluate("window.scrollBy(0, 2300)")
time.sleep(1.2)
new_scroll = page.evaluate("window.scrollY")
stuck = stuck + 1 if new_scroll == last_scroll else 0
last_scroll = new_scroll
if stuck >= 3:
break
browser.close()
return json.dumps(
{"site": "Facebook", "results": results[:max_items]},
default=str,
)
except Exception as e:
return json.dumps({"error": str(e)}, default=str)
self._tools["scrape_facebook"] = scrape_facebook
# --- Instagram Tool ---
@tool
def scrape_instagram(keywords: Optional[List[str]] = None, max_items: int = 15):
"""
Instagram scraper using Playwright session.
Scrapes posts from hashtag search and extracts captions.
"""
ensure_playwright()
site = "instagram"
session_path = load_playwright_storage_state_path(
site, out_dir="src/utils/.sessions"
)
if not session_path:
session_path = load_playwright_storage_state_path(
site, out_dir=".sessions"
)
if not session_path:
alt_paths = [
os.path.join(
os.getcwd(), "src", "utils", ".sessions", "ig_state.json"
),
os.path.join(os.getcwd(), ".sessions", "ig_state.json"),
]
for path in alt_paths:
if os.path.exists(path):
session_path = path
break
if not session_path:
return json.dumps({"error": "No Instagram session found"}, default=str)
keyword = " ".join(keywords) if keywords else "srilanka"
keyword = keyword.replace(" ", "")
results = []
try:
with sync_playwright() as p:
browser = p.chromium.launch(headless=True)
context = browser.new_context(
storage_state=session_path,
user_agent="Mozilla/5.0 (iPhone; CPU iPhone OS 17_0 like Mac OS X) AppleWebKit/605.1.15",
viewport={"width": 430, "height": 932},
)
page = context.new_page()
url = f"https://www.instagram.com/explore/tags/{keyword}/"
page.goto(url, timeout=120000)
page.wait_for_timeout(4000)
for _ in range(12):
page.mouse.wheel(0, 2500)
page.wait_for_timeout(1500)
anchors = page.locator("a[href*='/p/'], a[href*='/reel/']").all()
links = []
for a in anchors:
href = a.get_attribute("href")
if href:
full = "https://www.instagram.com" + href
links.append(full)
if len(links) >= max_items:
break
for link in links:
page.goto(link, timeout=120000)
page.wait_for_timeout(2000)
media_id = extract_media_id_instagram(page)
caption = fetch_caption_via_private_api(page, media_id)
if not caption:
try:
caption = (
page.locator("article h1, article span")
.first.inner_text()
.strip()
)
except:
caption = None
if caption:
results.append(
{
"source": "Instagram",
"text": caption,
"url": link,
"poster": "(Instagram User)",
}
)
browser.close()
return json.dumps(
{"site": "Instagram", "results": results}, default=str
)
except Exception as e:
return json.dumps({"error": str(e)}, default=str)
self._tools["scrape_instagram"] = scrape_instagram
def _create_fallback_social_tools(self) -> None:
"""Create fallback tools when Playwright is not available."""
from langchain_core.tools import tool
import json
@tool
def scrape_twitter(query: str = "Sri Lanka", max_items: int = 20):
"""Twitter scraper (requires Playwright)."""
return json.dumps(
{"error": "Playwright not available for Twitter scraping"}
)
@tool
def scrape_linkedin(keywords: Optional[List[str]] = None, max_items: int = 10):
"""LinkedIn scraper (requires Playwright)."""
return json.dumps(
{"error": "Playwright not available for LinkedIn scraping"}
)
@tool
def scrape_facebook(keywords: Optional[List[str]] = None, max_items: int = 10):
"""Facebook scraper (requires Playwright)."""
return json.dumps(
{"error": "Playwright not available for Facebook scraping"}
)
@tool
def scrape_instagram(keywords: Optional[List[str]] = None, max_items: int = 15):
"""Instagram scraper (requires Playwright)."""
return json.dumps(
{"error": "Playwright not available for Instagram scraping"}
)
self._tools["scrape_twitter"] = scrape_twitter
self._tools["scrape_linkedin"] = scrape_linkedin
self._tools["scrape_facebook"] = scrape_facebook
self._tools["scrape_instagram"] = scrape_instagram
def _create_profile_scraper_tools(self) -> None:
"""Create profile-based scraper tools for competitive intelligence."""
from langchain_core.tools import tool
import json
import os
import time
import random
import re
from datetime import datetime
from src.utils.utils import (
PLAYWRIGHT_AVAILABLE,
ensure_playwright,
load_playwright_storage_state_path,
clean_twitter_text,
extract_twitter_timestamp,
clean_fb_text,
extract_media_id_instagram,
fetch_caption_via_private_api,
)
if not PLAYWRIGHT_AVAILABLE:
return
from playwright.sync_api import sync_playwright
# --- Twitter Profile Scraper ---
@tool
def scrape_twitter_profile(username: str, max_items: int = 20):
"""
Twitter PROFILE scraper - targets a specific user's timeline.
Perfect for monitoring competitor accounts, influencers, or business profiles.
"""
ensure_playwright()
site = "twitter"
session_path = load_playwright_storage_state_path(
site, out_dir="src/utils/.sessions"
)
if not session_path:
session_path = load_playwright_storage_state_path(
site, out_dir=".sessions"
)
if not session_path:
alt_paths = [
os.path.join(
os.getcwd(), "src", "utils", ".sessions", "tw_state.json"
),
os.path.join(os.getcwd(), ".sessions", "tw_state.json"),
]
for path in alt_paths:
if os.path.exists(path):
session_path = path
break
if not session_path:
return json.dumps({"error": "No Twitter session found"}, default=str)
results = []
username = username.lstrip("@")
try:
with sync_playwright() as p:
browser = p.chromium.launch(headless=True, args=["--no-sandbox"])
context = browser.new_context(
storage_state=session_path,
viewport={"width": 1280, "height": 720},
user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
)
page = context.new_page()
profile_url = f"https://x.com/{username}"
try:
page.goto(
profile_url, timeout=60000, wait_until="domcontentloaded"
)
time.sleep(5)
try:
page.wait_for_selector(
"article[data-testid='tweet']", timeout=15000
)
except:
return json.dumps(
{"error": f"Profile not found or private: @{username}"}
)
except Exception as e:
return json.dumps({"error": str(e)})
if "login" in page.url:
return json.dumps({"error": "Session expired"})
seen = set()
scroll_attempts = 0
while len(results) < max_items and scroll_attempts < 10:
scroll_attempts += 1
tweets = page.locator("article[data-testid='tweet']").all()
for tweet in tweets:
if len(results) >= max_items:
break
try:
tweet.scroll_into_view_if_needed()
if (
tweet.locator("span:has-text('Promoted')").count()
> 0
):
continue
text_content = ""
text_element = tweet.locator(
"div[data-testid='tweetText']"
).first
if text_element.count() > 0:
text_content = text_element.inner_text()
cleaned_text = clean_twitter_text(text_content)
timestamp = extract_twitter_timestamp(tweet)
# Get engagement
likes = 0
try:
like_button = tweet.locator("[data-testid='like']")
if like_button.count() > 0:
like_text = (
like_button.first.get_attribute(
"aria-label"
)
or ""
)
like_match = re.search(r"(\d+)", like_text)
if like_match:
likes = int(like_match.group(1))
except:
pass
text_key = cleaned_text[:50] if cleaned_text else ""
unique_key = f"{username}_{text_key}_{timestamp}"
if (
cleaned_text
and len(cleaned_text) > 20
and unique_key not in seen
):
seen.add(unique_key)
results.append(
{
"source": "Twitter",
"poster": f"@{username}",
"text": cleaned_text,
"timestamp": timestamp,
"url": profile_url,
"likes": likes,
}
)
except:
continue
if len(results) < max_items:
page.evaluate(
"window.scrollTo(0, document.documentElement.scrollHeight)"
)
time.sleep(random.uniform(2, 3))
browser.close()
return json.dumps(
{
"site": "Twitter Profile",
"username": username,
"results": results,
"total_found": len(results),
"fetched_at": datetime.utcnow().isoformat(),
},
default=str,
)
except Exception as e:
return json.dumps({"error": str(e)}, default=str)
self._tools["scrape_twitter_profile"] = scrape_twitter_profile
# --- Facebook Profile Scraper ---
@tool
def scrape_facebook_profile(profile_url: str, max_items: int = 10):
"""
Facebook PROFILE scraper - monitors a specific page or user profile.
"""
ensure_playwright()
site = "facebook"
session_path = load_playwright_storage_state_path(
site, out_dir="src/utils/.sessions"
)
if not session_path:
session_path = load_playwright_storage_state_path(
site, out_dir=".sessions"
)
if not session_path:
return json.dumps({"error": "No Facebook session found"}, default=str)
results = []
try:
with sync_playwright() as p:
browser = p.chromium.launch(headless=True)
context = browser.new_context(
storage_state=session_path,
user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
viewport={"width": 1400, "height": 900},
)
page = context.new_page()
page.goto(profile_url, timeout=120000)
time.sleep(5)
if "login" in page.url:
return json.dumps({"error": "Session expired"})
seen = set()
stuck = 0
last_scroll = 0
MESSAGE_SELECTOR = "div[data-ad-preview='message']"
while len(results) < max_items:
posts = page.locator(MESSAGE_SELECTOR).all()
for post in posts:
try:
raw = post.inner_text().strip()
cleaned = clean_fb_text(raw)
if (
cleaned
and len(cleaned) > 30
and cleaned not in seen
):
seen.add(cleaned)
results.append(
{
"source": "Facebook",
"text": cleaned,
"url": profile_url,
}
)
if len(results) >= max_items:
break
except:
pass
page.evaluate("window.scrollBy(0, 2300)")
time.sleep(1.5)
new_scroll = page.evaluate("window.scrollY")
stuck = stuck + 1 if new_scroll == last_scroll else 0
last_scroll = new_scroll
if stuck >= 3:
break
browser.close()
return json.dumps(
{
"site": "Facebook Profile",
"profile_url": profile_url,
"results": results[:max_items],
},
default=str,
)
except Exception as e:
return json.dumps({"error": str(e)}, default=str)
self._tools["scrape_facebook_profile"] = scrape_facebook_profile
# --- Instagram Profile Scraper ---
@tool
def scrape_instagram_profile(username: str, max_items: int = 15):
"""
Instagram PROFILE scraper - monitors a specific user's profile.
"""
ensure_playwright()
site = "instagram"
session_path = load_playwright_storage_state_path(
site, out_dir="src/utils/.sessions"
)
if not session_path:
session_path = load_playwright_storage_state_path(
site, out_dir=".sessions"
)
if not session_path:
return json.dumps({"error": "No Instagram session found"}, default=str)
username = username.lstrip("@")
results = []
try:
with sync_playwright() as p:
browser = p.chromium.launch(headless=True)
context = browser.new_context(
storage_state=session_path,
user_agent="Mozilla/5.0 (iPhone; CPU iPhone OS 17_0 like Mac OS X) AppleWebKit/605.1.15",
viewport={"width": 430, "height": 932},
)
page = context.new_page()
url = f"https://www.instagram.com/{username}/"
page.goto(url, timeout=120000)
page.wait_for_timeout(4000)
if "login" in page.url:
return json.dumps({"error": "Session expired"})
for _ in range(8):
page.mouse.wheel(0, 2500)
page.wait_for_timeout(1500)
anchors = page.locator("a[href*='/p/'], a[href*='/reel/']").all()
links = []
for a in anchors:
href = a.get_attribute("href")
if href:
full = "https://www.instagram.com" + href
links.append(full)
if len(links) >= max_items:
break
for link in links:
page.goto(link, timeout=120000)
page.wait_for_timeout(2000)
media_id = extract_media_id_instagram(page)
caption = fetch_caption_via_private_api(page, media_id)
if not caption:
try:
caption = (
page.locator("article h1, article span")
.first.inner_text()
.strip()
)
except:
caption = None
if caption:
results.append(
{
"source": "Instagram",
"poster": f"@{username}",
"text": caption,
"url": link,
}
)
browser.close()
return json.dumps(
{
"site": "Instagram Profile",
"username": username,
"results": results,
},
default=str,
)
except Exception as e:
return json.dumps({"error": str(e)}, default=str)
self._tools["scrape_instagram_profile"] = scrape_instagram_profile
# --- LinkedIn Profile Scraper ---
@tool
def scrape_linkedin_profile(company_or_username: str, max_items: int = 10):
"""
LinkedIn PROFILE scraper - monitors a company or user profile.
"""
ensure_playwright()
site = "linkedin"
session_path = load_playwright_storage_state_path(
site, out_dir="src/utils/.sessions"
)
if not session_path:
session_path = load_playwright_storage_state_path(
site, out_dir=".sessions"
)
if not session_path:
return json.dumps({"error": "No LinkedIn session found"}, default=str)
results = []
try:
with sync_playwright() as p:
browser = p.chromium.launch(headless=True)
context = browser.new_context(
storage_state=session_path,
user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
viewport={"width": 1400, "height": 900},
)
page = context.new_page()
if not company_or_username.startswith("http"):
if "company/" in company_or_username:
profile_url = f"https://www.linkedin.com/company/{company_or_username.replace('company/', '')}"
else:
profile_url = (
f"https://www.linkedin.com/in/{company_or_username}"
)
else:
profile_url = company_or_username
page.goto(profile_url, timeout=120000)
page.wait_for_timeout(5000)
if "login" in page.url or "authwall" in page.url:
return json.dumps({"error": "Session expired"})
# Try to click posts tab
try:
posts_tab = page.locator("a:has-text('Posts')").first
if posts_tab.is_visible():
posts_tab.click()
page.wait_for_timeout(3000)
except:
pass
seen = set()
no_new_data_count = 0
previous_height = 0
while len(results) < max_items and no_new_data_count < 3:
posts = page.locator("div.feed-shared-update-v2").all()
for post in posts:
if len(results) >= max_items:
break
try:
post.scroll_into_view_if_needed()
text_el = post.locator("span.break-words").first
if text_el.is_visible():
raw_text = text_el.inner_text()
from src.utils.utils import clean_linkedin_text
cleaned = clean_linkedin_text(raw_text)
if (
cleaned
and len(cleaned) > 20
and cleaned[:50] not in seen
):
seen.add(cleaned[:50])
results.append(
{
"source": "LinkedIn",
"text": cleaned,
"url": profile_url,
}
)
except:
continue
page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
page.wait_for_timeout(random.randint(2000, 4000))
new_height = page.evaluate("document.body.scrollHeight")
if new_height == previous_height:
no_new_data_count += 1
else:
no_new_data_count = 0
previous_height = new_height
browser.close()
return json.dumps(
{
"site": "LinkedIn Profile",
"profile": company_or_username,
"results": results,
},
default=str,
)
except Exception as e:
return json.dumps({"error": str(e)}, default=str)
self._tools["scrape_linkedin_profile"] = scrape_linkedin_profile
# --- Product Reviews Tool ---
@tool
def scrape_product_reviews(
product_keyword: str,
platforms: Optional[List[str]] = None,
max_items: int = 10,
):
"""
Multi-platform product review aggregator for competitive intelligence.
"""
if platforms is None:
platforms = ["reddit", "twitter"]
all_reviews = []
# Reddit reviews
if "reddit" in platforms:
try:
reddit_tool = self._tools.get("scrape_reddit")
if reddit_tool:
reddit_data = reddit_tool.invoke(
{
"keywords": [
f"{product_keyword} review",
product_keyword,
],
"limit": max_items,
}
)
reddit_results = (
json.loads(reddit_data)
if isinstance(reddit_data, str)
else reddit_data
)
for item in reddit_results:
if isinstance(item, dict):
all_reviews.append(
{
"platform": "Reddit",
"text": item.get("title", "")
+ " "
+ item.get("selftext", ""),
"url": item.get("url", ""),
}
)
except:
pass
# Twitter reviews
if "twitter" in platforms:
try:
twitter_tool = self._tools.get("scrape_twitter")
if twitter_tool:
twitter_data = twitter_tool.invoke(
{
"query": f"{product_keyword} review",
"max_items": max_items,
}
)
twitter_results = (
json.loads(twitter_data)
if isinstance(twitter_data, str)
else twitter_data
)
if (
isinstance(twitter_results, dict)
and "results" in twitter_results
):
for item in twitter_results["results"]:
all_reviews.append(
{
"platform": "Twitter",
"text": item.get("text", ""),
"url": item.get("url", ""),
}
)
except:
pass
return json.dumps(
{
"product": product_keyword,
"total_reviews": len(all_reviews),
"reviews": all_reviews,
"platforms_searched": platforms,
},
default=str,
)
self._tools["scrape_product_reviews"] = scrape_product_reviews
def create_tool_set(include_profile_scrapers: bool = True) -> ToolSet:
"""
Factory function to create a new ToolSet with independent tool instances.
This is the primary entry point for creating tools for an agent.
Each call creates a completely independent set of tools.
Args:
include_profile_scrapers: Whether to include profile-based scrapers
Returns:
A new ToolSet instance with fresh tool instances
Example:
# In an agent node
class MyAgentNode:
def __init__(self):
self.tools = create_tool_set()
def process(self, state):
twitter = self.tools.get("scrape_twitter")
result = twitter.invoke({"query": "..."})
"""
return ToolSet(include_profile_scrapers=include_profile_scrapers)
# Convenience exports
__all__ = [
"ToolSet",
"create_tool_set",
]
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