## SpecStory

## Improving Search Engine Selectors in Falla (27/02/2025, 17:34:48)

_**User**_


For now, bing works in @falla_search.py . We need to make sure that it works with our main codebase via @falla.py 

Try to improve yahoo and qwant first, then perhaps google and duckduckgo. Test-grab the full page content of each search results page and probe it, then update the selectors in our @lib_falla 


```
for e in google duckduckgo bing yahoo qwant; do echo; echo; echo ">>> $e"; python ./falla_search.py -e $e FontLab; done; 
```


>>> google
2025-02-27 17:32:47,195 - __main__ - INFO - Fetching https://www.google.com/search?q=FontLab
2025-02-27 17:32:51,142 - __main__ - INFO - Got content length: 3297
2025-02-27 17:32:51,142 - __main__ - INFO - Content preview: <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"><html><head><meta http-equiv="content-type" content="text/html; charset=utf-8"><meta name="viewport" content="initial-scale=1"><title>https://www.google.com/search?q=FontLab&amp;sei=spPAZ6SbIYCTxc8Pk_PVmQI</title></head>
<body style="font-family: arial, sans-serif; background-color: #fff; color: #000; padding:20px; font-size:18px; overscroll-behavior:contain;" onload="e=document.getElementById('captcha');if(e){e.focus();} if(solveSim
2025-02-27 17:32:51,194 - __main__ - INFO - Found 0 result containers


>>> duckduckgo
2025-02-27 17:32:51,476 - __main__ - INFO - Fetching https://html.duckduckgo.com/html/?q=FontLab
2025-02-27 17:32:54,148 - __main__ - INFO - Got content length: 296
2025-02-27 17:32:54,148 - __main__ - INFO - Content preview: <html><head></head><body>If this persists, please <a href="mailto:error-lite+84f2@duckduckgo.com?subject=Error getting results">email us</a>.<br>
                        Our support email address includes an anonymized error code that helps us understand the context of your search.</body></html>
2025-02-27 17:32:54,191 - __main__ - INFO - Found 0 result containers


>>> bing
2025-02-27 17:32:54,503 - __main__ - INFO - Fetching https://www.bing.com/search?q=FontLab
2025-02-27 17:32:57,202 - __main__ - INFO - Got content length: 93087
2025-02-27 17:32:57,202 - __main__ - INFO - Content preview: <!DOCTYPE html><html dir="ltr" lang="pl" xml:lang="pl" xmlns="http://www.w3.org/1999/xhtml" xmlns:web="http://schemas.live.com/Web/"><head><script type="text/javascript" nonce="">//<![CDATA[
si_ST=new Date
//]]></script><!--pc--><title>FontLab - Wyszukaj</title><meta content="text/html; charset=utf-8" http-equiv="content-type"><meta name="referrer" content="origin-when-cross-origin"><meta name="SystemEntropyOriginTrialToken" content="A5is4nwJJVnhaJpUr1URgj4vvAXSiHoK0VBbM9fawMskbDUj9WUREpa3JzGAo6
2025-02-27 17:32:57,292 - __main__ - INFO - Found 10 result containers


>>> yahoo
2025-02-27 17:32:57,587 - __main__ - INFO - Fetching https://search.yahoo.com/search?p=FontLab
2025-02-27 17:33:06,040 - __main__ - WARNING - Timeout waiting for selector: Page.wait_for_selector: Timeout 5000ms exceeded.
Call log:
  - waiting for locator("#results") to be visible

2025-02-27 17:33:06,046 - __main__ - INFO - Got content length: 90451
2025-02-27 17:33:06,047 - __main__ - INFO - Content preview: <!DOCTYPE html><html dir="ltr" class="ltr  yahoo-page height100"><head>
    <title>Yahoo is part of the Yahoo family of brands</title>

    <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
    <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1, minimum-scale=1, user-scalable=no, viewport-fit=cover">
    <link rel="stylesheet" href="https://s.yimg.com/oa/build/css/site-ltr-1e589816.css">
    <link rel="icon" type="image/png" href="https://s.yimg.com/
2025-02-27 17:33:06,098 - __main__ - INFO - Found 0 result containers


>>> qwant
2025-02-27 17:33:06,383 - __main__ - INFO - Fetching https://www.qwant.com/?q=FontLab
2025-02-27 17:33:14,480 - __main__ - WARNING - Timeout waiting for selector: Page.wait_for_selector: Timeout 5000ms exceeded.
Call log:
  - waiting for locator(".webResults") to be visible

2025-02-27 17:33:14,489 - __main__ - INFO - Got content length: 102272
2025-02-27 17:33:14,489 - __main__ - INFO - Content preview: <!DOCTYPE html><html lang="en"><head>
    <meta charset="utf-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta http-equiv="Accept-CH" content="Sec-CH-UA-Bitness, Sec-CH-UA-Arch, Sec-CH-UA-Full-Version, Sec-CH-UA-Mobile, Sec-CH-UA-Model, Sec-CH-UA-Platform-Version, Sec-CH-UA-Platform, Sec-CH-UA, UA-Bitness, UA-Arch, UA-Full-Version, UA-Mobile, UA-Model, UA-Platform-Version, UA-Platform, UA, Sec-CH-Prefers-Color-Scheme">
    <base href="https://www.qwant.com">
    <meta name=
2025-02-27 17:33:14,553 - __main__ - INFO - Found 0 result containers

---

_**Assistant**_

<think>Let me analyze the task at hand:

1. We have a standalone script `falla_search.py` that tests Falla search functionality.
2. We need to integrate with the main codebase via `falla.py`.
3. Currently, only Bing is working among the tested search engines (Google, DuckDuckGo, Bing, Yahoo, Qwant).
4. We need to improve selectors for Yahoo and Qwant first, then possibly Google and DuckDuckGo.
5. To do this, we need to:
   - Grab the full page content of each search engine's results page
   - Analyze the HTML structure
   - Update the selectors in the `lib_falla` library

Let's start by examining the directory structure of `lib_falla` to better understand what we need to update:</think>I'll help you troubleshoot and improve the selectors for the search engines in the Falla library. Let's start by understanding the structure of the `lib_falla` package and then fix the problematic engines one by one.

---

_****_

<details>
            <summary>Listed directory src/twat_search/web/engines/lib_falla/core • **17** results</summary>
        
| Name |
|-------|
| 📁 `__pycache__` |
| 📄 `google.py` |
| 📄 `fetch_page.py` |
| 📄 `falla.py` |
| 📄 `bing.py` |
| 📄 `yahoo.py` |
| 📄 `qwant.py` |
| 📄 `duckduckgo.py` |
| 📄 `yandex.py` |
| 📄 `startpage.py` |
| 📄 `searchencrypt.py` |
| 📄 `mojeek.py` |
| 📄 `gibiru.py` |
| 📄 `dogpile.py` |
| 📄 `ask.py` |
| 📄 `aol.py` |
| 📄 `__init__.py` |

</details>

---

_****_



Let's first look at `falla.py` which seems to be the base class, and then examine the problematic engines starting with Yahoo and Qwant:

---

_****_

Read file: src/twat_search/web/engines/lib_falla/core/falla.py

---

_****_



Now let's check the Yahoo and Qwant implementations:

---

_****_

Read file: src/twat_search/web/engines/lib_falla/core/yahoo.py

---

_****_

Read file: src/twat_search/web/engines/lib_falla/core/qwant.py

---

_****_



Now, let's look at the standalone test script to understand how it fetches and parses results:

---

_****_

Read file: falla_search.py

---

_****_



Now we need to run a test with Yahoo and Qwant to get the full page content and analyze it to update the selectors:

---

_****_

```bash
mkdir -p debug_output
```

```
(twat_search) adam@Hamlet twat_search % mkdir -p debug_output
%                                                                 
(twat_search) adam@Hamlet twat_search %
```

---

_****_



---

_**User**_

continue

---

_**Assistant**_

<think>I need to create a Python script that will fetch the search results pages and save them to files for analysis. This will help us identify the correct selectors for each search engine.

The current approach:
1. Create a script to fetch and save HTML content from search engines
2. Run the script for Yahoo and Qwant first
3. Analyze the HTML to find the correct selectors
4. Update the engine implementations with the correct selectors

Let's create the debug script:</think>Let's create a script to capture the full HTML from each search engine for further analysis:

---

_****_

```diff
- 
+ #!/usr/bin/env python3
+ """
+ Debug script to fetch and save HTML content from various search engines.
+ """
+ 
+ import argparse
+ import asyncio
+ import logging
+ import os
+ import sys
+ from pathlib import Path
+ 
+ from bs4 import BeautifulSoup
+ from playwright.async_api import async_playwright
+ 
+ # Set up logging
+ logging.basicConfig(
+     level=logging.INFO,
+     format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
+     handlers=[logging.StreamHandler(sys.stdout)],
+ )
+ logger = logging.getLogger(__name__)
+ 
+ 
+ class DebugFetcher:
+     """Fetches and saves HTML content from search engines for analysis."""
+ 
+     def __init__(self):
+         """Initialize the fetcher."""
+         self.engines = {
+             "yahoo": "https://search.yahoo.com/search?p={}",
+             "qwant": "https://www.qwant.com/?q={}",
+             "google": "https://www.google.com/search?q={}",
+             "duckduckgo": "https://html.duckduckgo.com/html/?q={}",
+             "bing": "https://www.bing.com/search?q={}"
+         }
+         self.output_dir = Path("debug_output")
+ 
+     async def fetch_page(self, url: str, engine: str) -> str:
+         """Fetch a page using Playwright.
+ 
+         Args:
+             url: The URL to fetch
+             engine: The search engine being used
+ 
+         Returns:
+             The page content
+         """
+         logger.info(f"Fetching {url}")
+ 
+         async with async_playwright() as p:
+             browser = await p.chromium.launch(headless=True)
+             try:
+                 context = await browser.new_context(
+                     viewport={"width": 1920, "height": 1080},
+                     user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
+                 )
+ 
+                 page = await context.new_page()
+                 await page.goto(url, timeout=60000, wait_until="networkidle")
+ 
+                 # Take a screenshot for visual inspection
+                 await page.screenshot(path=self.output_dir / f"{engine}_screenshot.png")
+ 
+                 # Get the page content
+                 content = await page.content()
+                 logger.info(f"Got content length: {len(content)}")
+ 
+                 return content
+             finally:
+                 await browser.close()
+ 
+     def save_html(self, content: str, engine: str) -> None:
+         """Save HTML content to a file.
+ 
+         Args:
+             content: The HTML content
+             engine: The search engine name
+         """
+         path = self.output_dir / f"{engine}_content.html"
+         path.write_text(content, encoding="utf-8")
+         logger.info(f"Saved HTML content to {path}")
+ 
+     def analyze_selectors(self, content: str, engine: str) -> None:
+         """Analyze HTML content to suggest selectors.
+ 
+         Args:
+             content: The HTML content
+             engine: The search engine name
+         """
+         soup = BeautifulSoup(content, "html.parser")
+         
+         # Output potential container elements for search results
+         with open(self.output_dir / f"{engine}_analysis.txt", "w", encoding="utf-8") as f:
+             f.write(f"Analysis for {engine}\n")
+             f.write("=" * 80 + "\n\n")
+             
+             # Common container class patterns
+             potential_containers = [
+                 # Yahoo
+                 "div.dd.algo", "div.algo-sr", "div.dd.algo.algo-sr", 
+                 # Qwant
+                 "article.webResult", "div.result", "div.web-result",
+                 # Generic
+                 "div.result", "div.search-result", "li.result"
+             ]
+             
+             f.write("Potential containers found:\n")
+             for selector in potential_containers:
+                 elements = soup.select(selector)
+                 f.write(f"{selector}: {len(elements)} elements found\n")
+                 
+                 # If elements are found, look for title, link, and snippet patterns
+                 if elements and len(elements) > 0:
+                     sample = elements[0]
+                     f.write(f"\nSample structure of {selector}:\n")
+                     f.write(str(sample)[:500] + "...\n\n")
+             
+             # Look for other common patterns
+             f.write("\nOther potential elements:\n")
+             for tag in ["h1", "h2", "h3", "h4", "a.title", "p.description", ".snippet"]:
+                 elements = soup.select(tag)
+                 if elements and len(elements) > 0:
+                     f.write(f"{tag}: {len(elements)} elements found\n")
+                     if len(elements) < 5:  # Only show samples for a small number
+                         for i, elem in enumerate(elements):
+                             f.write(f"  {i+1}. {elem.get_text().strip()[:100]}\n")
+ 
+     async def process_engine(self, engine: str, query: str) -> None:
+         """Process a search engine.
+ 
+         Args:
+             engine: The search engine to use
+             query: The search query
+         """
+         if engine not in self.engines:
+             logger.error(f"Unsupported engine: {engine}")
+             return
+ 
+         url = self.engines[engine].format(query.replace(" ", "+"))
+         content = await self.fetch_page(url, engine)
+         self.save_html(content, engine)
+         self.analyze_selectors(content, engine)
+ 
+     async def run(self, engines: list[str], query: str) -> None:
+         """Run the fetcher for multiple engines.
+ 
+         Args:
+             engines: The search engines to use
+             query: The search query
+         """
+         self.output_dir.mkdir(exist_ok=True)
+         
+         logger.info(f"Processing engines: {', '.join(engines)}")
+         for engine in engines:
+             await self.process_engine(engine, query)
+ 
+ 
+ async def main_async() -> None:
+     """Main async function."""
+     parser = argparse.ArgumentParser(description="Fetch search engine HTML for debugging")
+     parser.add_argument("query", help="Search query")
+     parser.add_argument(
+         "--engines",
+         "-e",
+         nargs="+",
+         choices=["google", "duckduckgo", "bing", "yahoo", "qwant", "all"],
+         default=["yahoo", "qwant"],
+         help="Search engines to use",
+     )
+     args = parser.parse_args()
+ 
+     engines = args.engines
+     if "all" in engines:
+         engines = ["google", "duckduckgo", "bing", "yahoo", "qwant"]
+ 
+     fetcher = DebugFetcher()
+     await fetcher.run(engines, args.query)
+ 
+ 
+ def main() -> None:
+     """Main function."""
+     asyncio.run(main_async())
+ 
+ 
+ if __name__ == "__main__":
+     main() 
```

---

_****_



Now let's update the requirements.txt file to include the playwright package:

---

_****_

```diff
- 
+ playwright>=1.40.0
+ beautifulsoup4>=4.12.2 
```

---

_****_





Now, let's run the debug fetcher script to get the HTML content from Yahoo and Qwant:

---

_****_

```bash
pip install -q -r requirements.txt && python debug_fetch.py "FontLab" --engines yahoo qwant
```

```
<"FontLab" --engines yahoo qwant

[notice] A new release of pip is available: 24.3.1 -> 25.0.1
[notice] To update, run: /usr/local/opt/python@3.10/bin/python3.10
 -m pip install --upgrade pip
2025-02-27 18:02:15,683 - __main__ - INFO - Processing engines: ya
hoo, qwant
2025-02-27 18:02:15,683 - __main__ - INFO - Fetching https://searc
h.yahoo.com/search?p=FontLab
2025-02-27 18:02:21,140 - __main__ - INFO - Got content length: 90
496
2025-02-27 18:02:21,185 - __main__ - INFO - Saved HTML content to 
debug_output/yahoo_content.html
2025-02-27 18:02:21,199 - __main__ - INFO - Fetching https://www.q
want.com/?q=FontLab
2025-02-27 18:02:27,764 - __main__ - INFO - Got content length: 10
2272
2025-02-27 18:02:27,829 - __main__ - INFO - Saved HTML content to 
debug_output/qwant_content.html
(twat_search) adam@Hamlet twat_search %
```

---

_****_







Now let's check what the analyzer found for Yahoo and Qwant:

---

_****_

Cancelled

---

_****_



---

_**User**_

Analyze the codebase, then ensure that files like @LOG.md and/or @PROGRESS.md are no longer necessary: remove them if they exist, but first distribute their content if needed between @CHANGELOG.md (done) and @TODO.md (to be done). Update @README.md. Then re-prioritize @TODO.md and make sure that it has the form of a `- [ ] item` lists.

---

_**Assistant**_

I'll help you organize your project documentation by analyzing the codebase, removing unnecessary files, and updating the documentation structure.

Let's start by checking if LOG.md and PROGRESS.md exist in the project:

---

_****_

<details>
            <summary>Listed current directory • **41** results</summary>
        
| Name |
|-------|
| 📄 `README.md` |
| 📄 `CHANGELOG.md` |
| 📄 `TODO.md` |
| 📄 `PROGRESS.md` |
| 📁 `.mypy_cache` |
| 📄 `google_debug_Python_programming_language.html` |
| 📄 `test_google_falla_debug.py` |
| 📁 `__pycache__` |
| 📁 `.git` |
| 📄 `requirements.txt` |
| 📁 `_private` |
| 📁 `tests` |
| 📁 `.idea` |
| 📄 `.DS_Store` |
| 📁 `debug_output` |
| 📄 `debug_fetch.py` |
| 📄 `TODOENGINE.md` |
| 📁 `.venv` |
| 📄 `CLEANUP.txt` |
| 📄 `twat_search.txt` |
| 📄 `falla_search.py` |
| 📄 `test_falla.py` |
| 📄 `test_sync_falla.py` |
| 📄 `test_async_falla.py` |
| 📄 `test_simple.py` |
| 📄 `pyproject.toml` |
| 📄 `.pre-commit-config.yaml` |
| 📄 `uv.lock` |
| 📁 `.ruff_cache` |
| 📄 `cleanup.py` |
| 📁 `resources` |
| 📄 `LICENSE` |
| 📁 `.specstory` |
| 📁 `dist` |
| 📁 `src` |
| 📁 `.benchmarks` |
| 📁 `.cursor` |
| 📄 `VERSION.txt` |
| 📁 `.pytest_cache` |
| 📁 `.github` |
| 📄 `.gitignore` |

</details>

---

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---



---

