app.py

from typing import Annotated, Optional

from fastapi import FastAPI, Header, Query

import html2text 
import requests
import httpx
import re

from fastapi.middleware.cors import CORSMiddleware

from bs4 import BeautifulSoup


app = FastAPI()

app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"], 
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

@app.get("/linkedin_post_details")
async def linkedin_post_details(post_id: str):
    url = "https://www.linkedin.com/posts/"+post_id
    res = requests.get(url)
    
    text_maker = html2text.HTML2Text()
    text_maker.ignore_links = True
    text_maker.ignore_images = True
    text_maker.bypass_tables = False

    docs = text_maker.handle(res.content.decode("utf-8"))

    chunks = docs.split("\n\n#")
    linkedin_content = chunks[1]
    user = linkedin_content.split("\n\n", 5)
    full_name = user[1]
    bio = user[2]
    try:
        date, edited = user[3].split("  ")
        edited = True
    except:
        date = user[3].strip()
        edited = False
    content = "\n\n".join(user[5:])
    
    insights = chunks[3].split("\n\n")[2]
    likes = insights.split(" ", 1)[0].strip()
    comments = insights.rsplit(" ", 2)[1].strip()
    
    return {
        "user": {"name": full_name, "bio": bio},
        "content": content,
        "date": date,
        "is_edited": edited,
        "insights": {"likeCount": likes, "commentCount": comments, "shareCount": None, "viewCount":None},
    }
    

@app.get("/google_search")
async def google_search(q: str, delimiter: str = "\n---\n", sites: Annotated[list[str] | None, Query()] = None):
    print(sites)
    print(type(sites))
    url = f"https://www.google.com/search?q={q} "
    if sites:
        url += " OR ".join(["site:"+site for site in sites]) 
        
    texts = ""
    soup = BeautifulSoup(requests.get(url).content, "html.parser")
  
    for div in soup.find_all("div")[24:]:
      if len(div.find_parents("div")) == 8:  # Depth 4 means 3 parent divs (0-indexed)
          # print(div.get_text().strip())
          href = div.find(href=True, recursive=True)
          text = div.find(text=True, recursive=False)
          if href and text:
            print(text)
            text = f'[{text}]({href["href"].split("/url?q=")[-1]})'
          if text != None and text.strip():
            texts += text + delimiter
    return {"results":texts}


@app.get("/tiktok_video_details")
async def tiktok_video_details(username: str, video_id:str):
    url = f"https://www.tiktok.com/{username}/video/{video_id}"
    # user_agent = "LinkedInBot"
    user_agent = "Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)"
    res = requests.get(url, headers={"user-agent": user_agent})

    # soup = BeautifulSoup(res.content, "html.parser")

    # insights = soup.find("meta", {"property": "og:description"}).get("content")
    # likes = insights.split(" ", 1)[0]
    # desc = insights.rsplit(" comments. “", 1)[-1][:-1]
    # comments = insights.split(", ", 1)[-1].split(" ", 1)[0]

    # name = soup.find("meta", {"property": "og:title"}).get("content")[9:]

    # return {
    #     "insights": {"likeCount": likes, "commentCount": comments, "shareCount":None, "viewCount":None},
    #     "description": desc,
    #     "username": username,
    #     "name": name,
    # }

    text_maker = html2text.HTML2Text()
    text_maker.ignore_links = True
    text_maker.ignore_images = True
    text_maker.bypass_tables = False

    print("RESPONSE DETAIlL", res.content.decode("utf-8"))
    
    docs = text_maker.handle(res.content.decode("utf-8"))

    print("DOCS", docs)

    content_detail = docs.split("###")[5]

    likes, comments, bookmarks, shares = re.findall(r'\*\*([\w.]+)\*\*', content_detail)
    
    
    profile = [x.strip() for x in content_detail.split("\n\nSpeed\n\n", 1)[1].split("\n", 6) if x.strip()]
    username = profile[0]
    date = profile[1].rsplit(" · ", 1)[-1]
    desc = profile[-1].replace("**", "")
    
    return {
        "insights":{
            "likeCount":likes,
            "commentCount":comments,
            "bookmarkCount":bookmarks,
            "shareCount":shares
        },
        "username":username,
        "date":date,
        "description":desc
    }