Repository: ursisterbtw/markdown_lab
Pull request #4: Add benchmarks for performance evaluation
Author: login: ursisterbtw
Created: 2025-03-08T21:31:42Z | Merged: 2025-03-08T22:00:21Z

Add benchmark tests and configurations to the repository.

* **Dependencies**
  - Add `pytest-benchmark` to `requirements.txt`.

* **Documentation**
  - Update `README.md` to include instructions on running benchmarks.

* **Configuration**
  - Add `pytest-benchmark` configuration to `pyproject.toml`.

* **Benchmark Tests**
  - Add `test_benchmarks.py` with benchmark tests for `MarkdownScraper` methods.

* **Main Code**
  - Add code to measure execution time, memory usage, CPU usage, and network latency in `scrape_website` method in `main.py`.

* **Tests**
  - Update `test_main.py` to properly mock the `network_latency` variable in `test_scrape_website_success`.

---

For more details, open the [Copilot Workspace session](https://copilot-workspace.githubnext.com/ursisterbtw/markdown_lab/pull/4?shareId=3c130ae3-f005-4959-b6ff-106be915f5e2).

## Summary by Sourcery

Adds benchmark tests to evaluate the performance of the MarkdownScraper methods, including scrape_website, convert_to_markdown, save_markdown, create_chunks, and save_chunks. It also updates the test suite to mock network latency and adds instructions to the README on how to run the benchmarks.

Tests:
- Adds benchmark tests for MarkdownScraper methods.
- Updates test_main.py to properly mock the network_latency variable in test_scrape_website_success.


Diff:
diff --git a/README.md b/README.md
index 738b619..41cf1f4 100644
--- a/README.md
+++ b/README.md
@@ -166,6 +166,13 @@ The project includes comprehensive unit tests. To run them:
 pytest
 ```
 
+## Running Benchmarks
+
+To run benchmarks using `pytest-benchmark`, use the following command:
+
+```bash
+pytest --benchmark-only
+
 ## Dependencies
 
 - requests: Web scraping and HTTP requests
diff --git a/main.py b/main.py
index b39467d..9ff6379 100644
--- a/main.py
+++ b/main.py
@@ -1,17 +1,15 @@
 import argparse
 import logging
 import re
-import time
 from pathlib import Path
 from typing import List, Optional
 from urllib.parse import urljoin, urlparse
 
 import requests
 from bs4 import BeautifulSoup, Tag
-
 from chunk_utils import ContentChunker, create_semantic_chunks
 from sitemap_utils import SitemapParser
-from throttle import RequestThrottler
+from throttle import RequestThrottlers
 
 # Configure logging with more detailed formatting
 logging.basicConfig(
@@ -68,8 +66,16 @@ def scrape_website(self, url: str) -> str:
         Raises:
             requests.exceptions.RequestException: If the request fails after retries
         """
+        import time
+        import psutil
+        import tracemalloc
+
         logger.info(f"Attempting to scrape the website: {url}")
 
+        start_time = time.time()
+        tracemalloc.start()
+        process = psutil.Process()
+
         for attempt in range(self.max_retries):
             try:
                 self.throttler.throttle()
@@ -78,6 +84,19 @@ def scrape_website(self, url: str) -> str:
                 logger.info(
                     f"Successfully retrieved the website content (status code: {response.status_code})."
                 )
+
+                end_time = time.time()
+                execution_time = end_time - start_time
+                memory_usage = tracemalloc.get_traced_memory()
+                cpu_usage = process.cpu_percent(interval=0.1)
+                network_latency = response.elapsed.total_seconds()
+
+                logger.info(f"Execution time for scraping {url}: {execution_time:.2f} seconds")
+                logger.info(f"Memory usage for scraping {url}: {memory_usage[1] / 1024 / 1024:.2f} MB")
+                logger.info(f"CPU usage for scraping {url}: {cpu_usage:.2f}%")
+                logger.info(f"Network latency for scraping {url}: {network_latency:.2f} seconds")
+
+                tracemalloc.stop()
                 return response.text
             except requests.exceptions.HTTPError as http_err:
                 logger.warning(
@@ -502,68 +521,22 @@ def main(
 
 
 if __name__ == "__main__":
-    parser = argparse.ArgumentParser(
-        description="Scrape a website and convert it to Markdown with RAG chunking support."
-    )
+    parser = argparse.ArgumentParser(description="Scrape a website and convert it to Markdown with RAG chunking support.")
     parser.add_argument("url", type=str, help="The URL to scrape")
-    parser.add_argument(
-        "-o",
-        "--output",
-        type=str,
-        default="output.md",
-        help="The output Markdown file name",
-    )
-    parser.add_argument(
-        "--save-chunks", action="store_true", help="Save content chunks for RAG"
-    )
-    parser.add_argument(
-        "--chunk-dir",
-        type=str,
-        default="chunks",
-        help="Directory to save content chunks",
-    )
-    parser.add_argument(
-        "--chunk-format",
-        type=str,
-        choices=["json", "jsonl"],
-        default="jsonl",
-        help="Format to save chunks",
-    )
-    parser.add_argument(
-        "--chunk-size", type=int, default=1000, help="Maximum chunk size in characters"
-    )
-    parser.add_argument(
-        "--chunk-overlap",
-        type=int,
-        default=200,
-        help="Overlap between chunks in characters",
-    )
-    parser.add_argument(
-        "--requests-per-second",
-        type=float,
-        default=1.0,
-        help="Maximum requests per second",
-    )
-
-    # Add sitemap-related arguments
-    parser.add_argument(
-        "--use-sitemap", action="store_true", help="Use sitemap.xml to discover URLs"
-    )
-    parser.add_argument(
-        "--min-priority", type=float, help="Minimum priority for sitemap URLs (0.0-1.0)"
-    )
-    parser.add_argument(
-        "--include", type=str, nargs="+", help="Regex patterns for URLs to include"
-    )
-    parser.add_argument(
-        "--exclude", type=str, nargs="+", help="Regex patterns for URLs to exclude"
-    )
-    parser.add_argument(
-        "--limit", type=int, help="Maximum number of URLs to scrape from sitemap"
-    )
+    parser.add_argument("-o", "--output", type=str, default="output.md", help="The output Markdown file name")
+    parser.add_argument("--save-chunks", action="store_true", help="Save content chunks for RAG")
+    parser.add_argument("--chunk-dir", type=str, default="chunks", help="Directory to save content chunks")
+    parser.add_argument("--chunk-format", type=str, choices=["json", "jsonl"], default="jsonl", help="Format to save chunks")
+    parser.add_argument("--chunk-size", type=int, default=1000, help="Maximum chunk size in characters")
+    parser.add_argument("--chunk-overlap", type=int, default=200, help="Overlap between chunks in characters")
+    parser.add_argument("--requests-per-second", type=float, default=1.0, help="Maximum requests per second")
+    parser.add_argument("--use-sitemap", action="store_true", help="Use sitemap.xml to discover URLs")
+    parser.add_argument("--min-priority", type=float, help="Minimum priority for sitemap URLs (0.0-1.0)")
+    parser.add_argument("--include", type=str, nargs="+", help="Regex patterns for URLs to include")
+    parser.add_argument("--exclude", type=str, nargs="+", help="Regex patterns for URLs to exclude")
+    parser.add_argument("--limit", type=int, help="Maximum number of URLs to scrape from sitemap")
 
     args = parser.parse_args()
-
     main(
         url=args.url,
         output_file=args.output,
diff --git a/pyproject.toml b/pyproject.toml
index 489bcf8..5c98bfe 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,3 +5,20 @@ description = "Add your description here"
 readme = "README.md"
 requires-python = ">=3.12"
 dependencies = []
+
+[tool.pytest.ini_options]
+benchmark_min_rounds = 5
+benchmark_max_time = 1.0
+benchmark_save = true
+benchmark_save_data = true
+benchmark_enable = true
+benchmark_group_by = "group"
+benchmark_sort = "name"
+benchmark_columns = ["min", "max", "mean", "stddev", "median", "iqr", "outliers", "rounds", "iterations"]
+benchmark_timer = "time.perf_counter"
+benchmark_disable_gc = true
+benchmark_warmup = true
+benchmark_skip = false
+benchmark_only = false
+benchmark_max_iterations = 100000
+benchmark_min_time = 0.000005
diff --git a/requirements.txt b/requirements.txt
index 019431d..fd83025 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -11,3 +11,4 @@ python-dateutil>=2.9.0.post0
 types-requests>=2.31.0
 types-beautifulsoup4>=4.12.0
 mypy>=1.4.1
+pytest-benchmark>=3.4.1
diff --git a/test_benchmarks.py b/test_benchmarks.py
new file mode 100644
index 0000000..a46107d
--- /dev/null
+++ b/test_benchmarks.py
@@ -0,0 +1,37 @@
+import pytest
+from main import MarkdownScraper
+
+@pytest.mark.benchmark(group="scrape_website")
+def test_scrape_website_benchmark(benchmark):
+    scraper = MarkdownScraper()
+    url = "http://example.com"
+    benchmark(scraper.scrape_website, url)
+
+@pytest.mark.benchmark(group="convert_to_markdown")
+def test_convert_to_markdown_benchmark(benchmark):
+    scraper = MarkdownScraper()
+    html_content = "<html><head><title>Test</title></head><body><h1>Header</h1><p>Paragraph</p></body></html>"
+    benchmark(scraper.convert_to_markdown, html_content)
+
+@pytest.mark.benchmark(group="save_markdown")
+def test_save_markdown_benchmark(benchmark, tmp_path):
+    scraper = MarkdownScraper()
+    markdown_content = "# Test Markdown"
+    output_file = tmp_path / "output.md"
+    benchmark(scraper.save_markdown, markdown_content, str(output_file))
+
+@pytest.mark.benchmark(group="create_chunks")
+def test_create_chunks_benchmark(benchmark):
+    scraper = MarkdownScraper()
+    markdown_content = "# Test\n\nThis is a test."
+    url = "http://example.com"
+    benchmark(scraper.create_chunks, markdown_content, url)
+
+@pytest.mark.benchmark(group="save_chunks")
+def test_save_chunks_benchmark(benchmark, tmp_path):
+    scraper = MarkdownScraper()
+    markdown_content = "# Test\n\nThis is a test."
+    url = "http://example.com"
+    chunks = scraper.create_chunks(markdown_content, url)
+    output_dir = tmp_path / "chunks"
+    benchmark(scraper.save_chunks, chunks, str(output_dir))
diff --git a/test_main.py b/test_main.py
index ccb62dc..edf676a 100644
--- a/test_main.py
+++ b/test_main.py
@@ -1,90 +1,91 @@
-from unittest.mock import MagicMock, patch
-
-import pytest
-import requests
-
-from main import MarkdownScraper
-
-
-@pytest.fixture
-def scraper():
-    return MarkdownScraper()
-
-
-@patch("main.requests.Session.get")
-def test_scrape_website_success(mock_get, scraper):
-    mock_response = MagicMock()
-    mock_response.status_code = 200
-    mock_response.text = "<html><head><title>Test</title></head><body></body></html>"
-    mock_get.return_value = mock_response
-
-    result = scraper.scrape_website("http://example.com")
-    assert result == "<html><head><title>Test</title></head><body></body></html>"
-
-
-@patch("main.requests.Session.get")
-def test_scrape_website_http_error(mock_get, scraper):
-    mock_response = MagicMock()
-    mock_response.raise_for_status.side_effect = requests.exceptions.HTTPError(
-        "404 Not Found"
-    )
-    mock_get.return_value = mock_response
-
-    with pytest.raises(requests.exceptions.HTTPError):
-        scraper.scrape_website("http://example.com")
-
-
-@patch("main.requests.Session.get")
-def test_scrape_website_general_error(mock_get, scraper):
-    mock_get.side_effect = Exception("Connection error")
-
-    with pytest.raises(Exception) as exc_info:
-        scraper.scrape_website("http://example.com")
-    assert str(exc_info.value) == "Connection error"
-
-
-def test_convert_to_markdown(scraper):
-    html_content = """<html><head><title>Test</title></head>
-    <body>
-    <h1>Header 1</h1>
-    <p>Paragraph 1</p>
-    <a href='http://example.com'>Link</a>
-    <img src='image.jpg' alt='Test Image'>
-    <ul><li>Item 1</li><li>Item 2</li></ul>
-    </body></html>"""
-
-    expected_markdown = """# Test
-
-## Header 1
-
-Paragraph 1
-
-[Link](http://example.com)
-
-![Test Image](image.jpg)
-
-- Item 1
-- Item 2"""
-
-    result = scraper.convert_to_markdown(html_content)
-    assert result.strip() == expected_markdown.strip()
-
-
-@patch("builtins.open")
-def test_save_markdown(mock_open):
-    # setup the mock file object
-    mock_file = MagicMock()
-    mock_open.return_value.__enter__.return_value = mock_file
-
-    scraper = MarkdownScraper()
-    markdown_content = "# Test Markdown"
-    output_file = "test_output.md"
-
-    # call the method under test
-    scraper.save_markdown(markdown_content, output_file)
-
-    # assert that open was called with the correct file name and mode
-    mock_open.assert_called_once_with(output_file, "w")
-
-    # assert write was called with the content
-    mock_file.write.assert_called_once_with(markdown_content)
+from unittest.mock import MagicMock, patch
+
+import pytest
+import requests
+
+from main import MarkdownScraper
+
+
+@pytest.fixture
+def scraper():
+    return MarkdownScraper()
+
+
+@patch("main.requests.Session.get")
+def test_scrape_website_success(mock_get, scraper):
+    mock_response = MagicMock()
+    mock_response.status_code = 200
+    mock_response.text = "<html><head><title>Test</title></head><body></body></html>"
+    mock_response.elapsed.total_seconds.return_value = 0.1
+    mock_get.return_value = mock_response
+
+    result = scraper.scrape_website("http://example.com")
+    assert result == "<html><head><title>Test</title></head><body></body></html>"
+
+
+@patch("main.requests.Session.get")
+def test_scrape_website_http_error(mock_get, scraper):
+    mock_response = MagicMock()
+    mock_response.raise_for_status.side_effect = requests.exceptions.HTTPError(
+        "404 Not Found"
+    )
+    mock_get.return_value = mock_response
+
+    with pytest.raises(requests.exceptions.HTTPError):
+        scraper.scrape_website("http://example.com")
+
+
+@patch("main.requests.Session.get")
+def test_scrape_website_general_error(mock_get, scraper):
+    mock_get.side_effect = Exception("Connection error")
+
+    with pytest.raises(Exception) as exc_info:
+        scraper.scrape_website("http://example.com")
+    assert str(exc_info.value) == "Connection error"
+
+
+def test_convert_to_markdown(scraper):
+    html_content = """<html><head><title>Test</title></head>
+    <body>
+    <h1>Header 1</h1>
+    <p>Paragraph 1</p>
+    <a href='http://example.com'>Link</a>
+    <img src='image.jpg' alt='Test Image'>
+    <ul><li>Item 1</li><li>Item 2</li></ul>
+    </body></html>"""
+
+    expected_markdown = """# Test
+
+## Header 1
+
+Paragraph 1
+
+[Link](http://example.com)
+
+![Test Image](image.jpg)
+
+- Item 1
+- Item 2"""
+
+    result = scraper.convert_to_markdown(html_content)
+    assert result.strip() == expected_markdown.strip()
+
+
+@patch("builtins.open")
+def test_save_markdown(mock_open):
+    # setup the mock file object
+    mock_file = MagicMock()
+    mock_open.return_value.__enter__.return_value = mock_file
+
+    scraper = MarkdownScraper()
+    markdown_content = "# Test Markdown"
+    output_file = "test_output.md"
+
+    # call the method under test
+    scraper.save_markdown(markdown_content, output_file)
+
+    # assert that open was called with the correct file name and mode
+    mock_open.assert_called_once_with(output_file, "w")
+
+    # assert write was called with the content
+    mock_file.write.assert_called_once_with(markdown_content)


Reviews:
user: login: sourcery-ai[bot]
body: Hey @ursisterbtw - I've reviewed your changes - here's some feedback:

**Overall Comments**:
- Consider using a context manager for timing and memory profiling to ensure resources are always released.
- The benchmark tests could be parameterized to run against different inputs.

<details>
<summary>Here's what I looked at during the review</summary>

- 🟡 **General issues**: 4 issues found
- 🟢 **Security**: all looks good
- 🟢 **Review instructions**: all looks good
- 🟡 **Testing**: 2 issues found
- 🟡 **Complexity**: 1 issue found
- 🟢 **Documentation**: all looks good
</details>

***

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state: APPROVED
author_association: CONTRIBUTOR
submitted_at: 2025-03-08T21:32:43Z
user: login: coderabbitai[bot]
body: **Actionable comments posted: 9**

<details>
<summary>🔭 Outside diff range comments (3)</summary><blockquote>

<details>
<summary>test_main.py (1)</summary><blockquote>

`1-92`: _⚠️ Potential issue_

**Update test assertions to match new encoding parameter**

The CI pipeline indicates an assertion failure in the test_save_markdown test. The function now includes an encoding parameter but the test hasn't been updated to match.

```shell
[error] 88-88: AssertionError: expected call not found. Expected: open('test_output.md', 'w') Actual: open('test_output.md', 'w', encoding='utf-8')
```

Update the mock_open assertion to include the encoding parameter:
```diff
# Line 88
- mock_open.assert_called_once_with(output_file, "w")
+ mock_open.assert_called_once_with(output_file, "w", encoding="utf-8")
```

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

10-10: Missing return type annotation for public function `scraper`

(ANN201)

---

15-15: Missing return type annotation for public function `test_scrape_website_success`

Add return type annotation: `None`

(ANN201)

---

15-15: Missing type annotation for function argument `mock_get`

(ANN001)

---

15-15: Missing type annotation for function argument `scraper`

(ANN001)

---

27-27: Missing return type annotation for public function `test_scrape_website_http_error`

Add return type annotation: `None`

(ANN201)

---

27-27: Missing type annotation for function argument `mock_get`

(ANN001)

---

27-27: Missing type annotation for function argument `scraper`

(ANN001)

---

30-30: Trailing comma missing

Add trailing comma

(COM812)

---

39-39: Missing return type annotation for public function `test_scrape_website_general_error`

Add return type annotation: `None`

(ANN201)

---

39-39: Missing type annotation for function argument `mock_get`

(ANN001)

---

39-39: Missing type annotation for function argument `scraper`

(ANN001)

---

42-42: `pytest.raises(Exception)` is too broad, set the `match` parameter or use a more specific exception

(PT011)

---

47-47: Missing return type annotation for public function `test_convert_to_markdown`

Add return type annotation: `None`

(ANN201)

---

47-47: Missing type annotation for function argument `scraper`

(ANN001)

---

75-75: Missing return type annotation for public function `test_save_markdown`

Add return type annotation: `None`

(ANN201)

---

75-75: Missing type annotation for function argument `mock_open`

(ANN001)

</details>
<details>
<summary>🪛 GitHub Actions: Python CI</summary>

[error] 22-22: ModuleNotFoundError: No module named 'psutil'

---

[error] 35-35: ModuleNotFoundError: No module named 'psutil'

---

[error] 44-44: assert 'No module named 'psutil'' == 'Connection error'

---

[error] 71-71: AssertionError: assert '# Test\n\n# ...m 1\n- Item 2' == '# Test\n\n##...m 1\n- Item 2'

---

[error] 88-88: AssertionError: expected call not found. Expected: open('test_output.md', 'w') Actual: open('test_output.md', 'w', encoding='utf-8')

</details>

</details>

</blockquote></details>
<details>
<summary>test_benchmarks.py (2)</summary><blockquote>

`1-38`: _⚠️ Potential issue_

**Add missing dependency for benchmarks**

The pipeline is failing with `ModuleNotFoundError: No module named 'psutil'`. This dependency is required for the benchmarks to run properly, especially when measuring CPU and memory usage.


Please add 'psutil' to your project dependencies in either requirements.txt or pyproject.toml:

```shell
#!/bin/bash
# Check if psutil is in requirements.txt
if grep -q "psutil" requirements.txt; then
  echo "psutil is already in requirements.txt"
else
  echo "psutil is not in requirements.txt"
fi
```

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

5-5: Missing return type annotation for public function `test_scrape_website_benchmark`

Add return type annotation: `None`

(ANN201)

---

5-5: Missing type annotation for function argument `benchmark`

(ANN001)

---

11-11: Missing return type annotation for public function `test_convert_to_markdown_benchmark`

Add return type annotation: `None`

(ANN201)

---

11-11: Missing type annotation for function argument `benchmark`

(ANN001)

---

17-17: Missing return type annotation for public function `test_save_markdown_benchmark`

Add return type annotation: `None`

(ANN201)

---

17-17: Missing type annotation for function argument `benchmark`

(ANN001)

---

17-17: Missing type annotation for function argument `tmp_path`

(ANN001)

---

24-24: Missing return type annotation for public function `test_create_chunks_benchmark`

Add return type annotation: `None`

(ANN201)

---

24-24: Missing type annotation for function argument `benchmark`

(ANN001)

---

31-31: Missing return type annotation for public function `test_save_chunks_benchmark`

Add return type annotation: `None`

(ANN201)

---

31-31: Missing type annotation for function argument `benchmark`

(ANN001)

---

31-31: Missing type annotation for function argument `tmp_path`

(ANN001)

</details>
<details>
<summary>🪛 GitHub Actions: Python CI</summary>

[error] 8-8: ModuleNotFoundError: No module named 'psutil'

</details>

</details>

---

`38-38`: _🧹 Nitpick (assertive)_

**Add newline at end of file**

The file is missing a newline at the end. This is a minor issue but can cause warnings in some tools and is considered a best practice.


```diff
-    benchmark(scraper.save_chunks, chunks, str(output_dir))
\ No newline at end of file
+    benchmark(scraper.save_chunks, chunks, str(output_dir))
+
```

</blockquote></details>

</blockquote></details>

<details>
<summary>📜 Review details</summary>

**Configuration used: CodeRabbit UI**
**Review profile: ASSERTIVE**
**Plan: Pro**

<details>
<summary>📥 Commits</summary>

Reviewing files that changed from the base of the PR and between 41b7158d0dcd30af4beff6d9c7aa998734545573 and 8fde5fc143fd92fee14716cd285c4022270c62fe.

</details>

<details>
<summary>📒 Files selected for processing (6)</summary>

* `README.md` (1 hunks)
* `main.py` (2 hunks)
* `pyproject.toml` (1 hunks)
* `requirements.txt` (1 hunks)
* `test_benchmarks.py` (1 hunks)
* `test_main.py` (1 hunks)

</details>

<details>
<summary>🧰 Additional context used</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

<details>
<summary>test_benchmarks.py</summary>

5-5: Missing return type annotation for public function `test_scrape_website_benchmark`

Add return type annotation: `None`

(ANN201)

---

5-5: Missing type annotation for function argument `benchmark`

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11-11: Missing return type annotation for public function `test_convert_to_markdown_benchmark`

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(ANN201)

---

11-11: Missing type annotation for function argument `benchmark`

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17-17: Missing return type annotation for public function `test_save_markdown_benchmark`

Add return type annotation: `None`

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24-24: Missing return type annotation for public function `test_create_chunks_benchmark`

Add return type annotation: `None`

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24-24: Missing type annotation for function argument `benchmark`

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31-31: Missing return type annotation for public function `test_save_chunks_benchmark`

Add return type annotation: `None`

(ANN201)

---

31-31: Missing type annotation for function argument `benchmark`

(ANN001)

---

31-31: Missing type annotation for function argument `tmp_path`

(ANN001)

</details>
<details>
<summary>main.py</summary>

71-71: Redefinition of unused `time` from line 4

Remove definition: `time`

(F811)

---

75-75: Logging statement uses f-string

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97-97: Logging statement uses f-string

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98-98: Logging statement uses f-string

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99-99: Logging statement uses f-string

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</details>
<details>
<summary>test_main.py</summary>

10-10: Missing return type annotation for public function `scraper`

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15-15: Missing return type annotation for public function `test_scrape_website_success`

Add return type annotation: `None`

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15-15: Missing type annotation for function argument `scraper`

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27-27: Missing return type annotation for public function `test_scrape_website_http_error`

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27-27: Missing type annotation for function argument `scraper`

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30-30: Trailing comma missing

Add trailing comma

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39-39: Missing return type annotation for public function `test_scrape_website_general_error`

Add return type annotation: `None`

(ANN201)

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39-39: Missing type annotation for function argument `mock_get`

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39-39: Missing type annotation for function argument `scraper`

(ANN001)

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42-42: `pytest.raises(Exception)` is too broad, set the `match` parameter or use a more specific exception

(PT011)

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47-47: Missing return type annotation for public function `test_convert_to_markdown`

Add return type annotation: `None`

(ANN201)

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47-47: Missing type annotation for function argument `scraper`

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75-75: Missing return type annotation for public function `test_save_markdown`

Add return type annotation: `None`

(ANN201)

---

75-75: Missing type annotation for function argument `mock_open`

(ANN001)

</details>

</details>
<details>
<summary>🪛 GitHub Actions: Python CI</summary>

<details>
<summary>test_benchmarks.py</summary>

[error] 8-8: ModuleNotFoundError: No module named 'psutil'

</details>
<details>
<summary>main.py</summary>

[error] 22-22: ModuleNotFoundError: No module named 'psutil'

---

[error] 35-35: ModuleNotFoundError: No module named 'psutil'

---

[error] 44-44: assert 'No module named 'psutil'' == 'Connection error'

---

[error] 71-71: AssertionError: assert '# Test\n\n# ...m 1\n- Item 2' == '# Test\n\n##...m 1\n- Item 2'

---

[error] 88-88: AssertionError: expected call not found. Expected: open('test_output.md', 'w') Actual: open('test_output.md', 'w', encoding='utf-8')

</details>
<details>
<summary>test_main.py</summary>

[error] 22-22: ModuleNotFoundError: No module named 'psutil'

---

[error] 35-35: ModuleNotFoundError: No module named 'psutil'

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[error] 44-44: assert 'No module named 'psutil'' == 'Connection error'

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[error] 71-71: AssertionError: assert '# Test\n\n# ...m 1\n- Item 2' == '# Test\n\n##...m 1\n- Item 2'

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[error] 88-88: AssertionError: expected call not found. Expected: open('test_output.md', 'w') Actual: open('test_output.md', 'w', encoding='utf-8')

</details>

</details>

</details>

<details>
<summary>🔇 Additional comments (7)</summary><blockquote>

<details>
<summary>test_main.py (1)</summary>

`19-19`: **Properly mock the network latency value**

Good addition to mock the elapsed time for the HTTP request. This ensures the test properly covers the new network latency tracking functionality.

</details>
<details>
<summary>main.py (2)</summary>

`77-80`: **Initialize performance tracking metrics**

Good practice to set up performance tracking at the beginning of the method before any processing starts. This ensures accurate measurement of execution time and resource usage.

---

`90-95`: **Comprehensive performance metrics calculation**

This is a well-rounded approach to measuring performance, capturing execution time, memory usage, CPU usage, and network latency. This will provide valuable benchmarking data.

</details>
<details>
<summary>README.md (1)</summary>

`169-175`: **Clear benchmarking instructions added**

Great addition of benchmarking instructions to the README. This clearly documents how users can run benchmarks using the newly added pytest-benchmark functionality.

</details>
<details>
<summary>test_benchmarks.py (2)</summary>

`16-21`: **LGTM! Good use of the tmp_path fixture**

The test correctly uses the tmp_path fixture to create temporary files for testing, which is a best practice to avoid writing to the actual filesystem during tests.

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

17-17: Missing return type annotation for public function `test_save_markdown_benchmark`

Add return type annotation: `None`

(ANN201)

---

17-17: Missing type annotation for function argument `benchmark`

(ANN001)

---

17-17: Missing type annotation for function argument `tmp_path`

(ANN001)

</details>

</details>

---

`30-37`: **LGTM! Good benchmark design for complex operation**

The test properly creates chunks first and then benchmarks only the saving operation, which isolates the performance of each step.

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

31-31: Missing return type annotation for public function `test_save_chunks_benchmark`

Add return type annotation: `None`

(ANN201)

---

31-31: Missing type annotation for function argument `benchmark`

(ANN001)

---

31-31: Missing type annotation for function argument `tmp_path`

(ANN001)

</details>

</details>

</details>
<details>
<summary>pyproject.toml (1)</summary>

`15-17`: **LGTM! Good benchmark organization**

The grouping and sorting configuration will provide well-organized benchmark results, making it easier to analyze performance across different functions.

</details>

</blockquote></details>

</details>

<!-- This is an auto-generated comment by CodeRabbit for review status -->
state: CHANGES_REQUESTED
author_association: CONTRIBUTOR
submitted_at: 2025-03-08T21:34:49Z

Review comments:
diff_hunk: @@ -78,6 +86,19 @@ def scrape_website(self, url: str) -> str:
                 logger.info(
                     f"Successfully retrieved the website content (status code: {response.status_code})."
                 )
+
+                end_time = time.time()
+                execution_time = end_time - start_time
+                memory_usage = tracemalloc.get_traced_memory()
+                cpu_usage = process.cpu_percent(interval=None)
path: main.py
user: login: sourcery-ai[bot]
body: **suggestion (performance):** Double-check cpu_percent measurement for accuracy.

psutil's cpu_percent() may return 0.0 if no interval is provided or if it’s the first call. Consider whether a prior measurement or specifying a small interval is needed for an accurate reading of CPU usage during the scrape.

```suggestion
                cpu_usage = process.cpu_percent(interval=0.1)
```
created_at: 2025-03-08T21:32:42Z
author_association: CONTRIBUTOR
diff_hunk: @@ -0,0 +1,37 @@
+import pytest
+from main import MarkdownScraper
+
+@pytest.mark.benchmark(group="scrape_website")
+def test_scrape_website_benchmark(benchmark):
+    scraper = MarkdownScraper()
+    url = "http://example.com"
+    benchmark(scraper.scrape_website, url)
+
+@pytest.mark.benchmark(group="convert_to_markdown")
+def test_convert_to_markdown_benchmark(benchmark):
+    scraper = MarkdownScraper()
+    html_content = "<html><head><title>Test</title></head><body><h1>Header</h1><p>Paragraph</p></body></html>"
path: test_benchmarks.py
user: login: sourcery-ai[bot]
body: **suggestion (testing):** Vary the input HTML complexity for `convert_to_markdown` benchmark.

Benchmarking with different HTML structures and sizes (e.g., more nested elements, longer text content) can reveal how the function's performance scales with input complexity. This helps identify potential performance issues with specific HTML patterns.

Suggested implementation:

```python
import pytest

@pytest.mark.benchmark(group="convert_to_markdown")
@pytest.mark.parametrize("html_content", [
    "<html><head><title>Test</title></head><body><h1>Header</h1><p>Paragraph</p></body></html>",
    "<html><body><div><p>This is a longer paragraph with additional content to test performance scaling.</p><ul><li>Item One</li><li>Item Two</li><li>Item Three</li></ul></div></body></html>",
    "<html><body><div><section><article><h2>Deeply Nested Title</h2><p>Deeply nested content with multiple elements to simulate complex HTML structures.</p></article></section></div></body></html>"
])
def test_convert_to_markdown_benchmark(benchmark, html_content):
    scraper = MarkdownScraper()
    benchmark(scraper.convert_to_markdown, html_content)

```

If there is an earlier duplicate definition of test_convert_to_markdown_benchmark (the empty one), please remove or merge it so that only a single parameterized test exists.
created_at: 2025-03-08T21:32:42Z
author_association: CONTRIBUTOR
diff_hunk: @@ -0,0 +1,37 @@
+import pytest
+from main import MarkdownScraper
+
+@pytest.mark.benchmark(group="scrape_website")
+def test_scrape_website_benchmark(benchmark):
+    scraper = MarkdownScraper()
+    url = "http://example.com"
+    benchmark(scraper.scrape_website, url)
+
+@pytest.mark.benchmark(group="convert_to_markdown")
+def test_convert_to_markdown_benchmark(benchmark):
+    scraper = MarkdownScraper()
+    html_content = "<html><head><title>Test</title></head><body><h1>Header</h1><p>Paragraph</p></body></html>"
+    benchmark(scraper.convert_to_markdown, html_content)
+
+@pytest.mark.benchmark(group="save_markdown")
+def test_save_markdown_benchmark(benchmark, tmp_path):
+    scraper = MarkdownScraper()
+    markdown_content = "# Test Markdown"
path: test_benchmarks.py
user: login: sourcery-ai[bot]
body: **suggestion (testing):** Test `save_markdown` with varying file sizes.

The current benchmark only tests saving a small markdown string.  It would be beneficial to also benchmark with larger markdown content to understand how the function performs with different file sizes.

Suggested implementation:

```python
@pytest.mark.benchmark(group="save_markdown")
@pytest.mark.parametrize("content_type, markdown_content", [
    ("small", "# Test Markdown"),
    ("large", "# Large Test Markdown\n" + "Lorem ipsum " * 1000)
])
def test_save_markdown_benchmark(benchmark, tmp_path, content_type, markdown_content):
    scraper = MarkdownScraper()
    output_file = tmp_path / f"output_{content_type}.md"
    benchmark(scraper.save_markdown, markdown_content, str(output_file))

```

Ensure that the generated large markdown content is acceptable for your benchmark and adjust the multiplication factor (currently 1000) as needed based on your performance testing criteria.
created_at: 2025-03-08T21:32:42Z
author_association: CONTRIBUTOR
diff_hunk: @@ -166,6 +166,14 @@ The project includes comprehensive unit tests. To run them:
 pytest
 ```
 
+## Running Benchmarks
+
+To run benchmarks using `pytest-benchmark`, use the following command:
+
+```bash
+pytest --benchmark-only
path: README.md
user: login: sourcery-ai[bot]
body: **suggestion:** Consider adding installation instructions for pytest-benchmark.

It might be helpful to include instructions on how to install `pytest-benchmark`, such as `pip install pytest-benchmark`. This would make it easier for users to get started with running the benchmarks.
created_at: 2025-03-08T21:32:42Z
author_association: CONTRIBUTOR
diff_hunk: @@ -166,6 +166,14 @@
 pytest
 ```
 
+## Running Benchmarks
+
+To run benchmarks using `pytest-benchmark`, use the following command:
+
+```bash
+pytest --benchmark-only
+```
path: README.md
user: login: sourcery-ai[bot]
body: **suggestion:** Clarify what is being benchmarked.

The documentation mentions running benchmarks, but it doesn't specify what aspects of the project are being measured. Providing more context on what the benchmarks are testing would be beneficial for users.

```suggestion
```bash
pytest --benchmark-only
```

The benchmark suite focuses on measuring the performance of core functionalities in this project, including the execution time of key data processing routines and the responsiveness of API calls. These benchmarks provide essential insights for performance tuning and regression testing.
```
created_at: 2025-03-08T21:32:42Z
author_association: CONTRIBUTOR
diff_hunk: @@ -166,6 +166,14 @@
 pytest
 ```
 
+## Running Benchmarks
+
+To run benchmarks using `pytest-benchmark`, use the following command:
+
+```bash
+pytest --benchmark-only
+```
+
 ## Dependencies
path: README.md
user: login: sourcery-ai[bot]
body: **suggestion:** Add pytest-benchmark to the dependencies section.

Since pytest-benchmark is required for running the benchmarks, it should be listed in the dependencies section along with the other project dependencies.
created_at: 2025-03-08T21:32:42Z
author_association: CONTRIBUTOR
diff_hunk: @@ -68,8 +68,16 @@
         Raises:
path: main.py
user: login: sourcery-ai[bot]
body: **issue (complexity):** Consider extracting the instrumentation code into a separate decorator or helper function to improve code organization and readability by separating concerns related to performance monitoring from the core scraping logic, which reduces cognitive load within the scrape_website function..

```markdown
Consider extracting the instrumentation into a separate decorator or helper function. For example, you could create a decorator that handles starting/stopping tracemalloc, timing the execution, and measuring CPU/memory usage, then apply it to `scrape_website`. This keeps the core logic focused. For instance:

```python
import time
import psutil
import tracemalloc
import functools
import logging

logger = logging.getLogger(__name__)

def profile_metrics(func):
    @functools.wraps(func)
    def wrapper(*args, **kwargs):
        start_time = time.time()
        tracemalloc.start()
        process = psutil.Process()
        result = func(*args, **kwargs)
        tracemalloc.stop()
        end_time = time.time()
        execution_time = end_time - start_time
        # Example: using last snapshot memory usage; adapt as needed.
        current, peak = tracemalloc.get_traced_memory()
        cpu_usage = process.cpu_percent(interval=None)
        # Assuming `result` is a response, adjust for network latency accordingly.
        network_latency = getattr(result, 'elapsed', None)
        if network_latency:
            network_latency = network_latency.total_seconds()
        logger.info(f"Execution time: {execution_time:.2f} seconds")
        logger.info(f"Memory usage: {peak / 1024 / 1024:.2f} MB")
        logger.info(f"CPU usage: {cpu_usage:.2f}%")
        if network_latency:
            logger.info(f"Network latency: {network_latency:.2f} seconds")
        return result
    return wrapper
```

Then apply the decorator to your method:

```python
class YourScraper:

    @profile_metrics
    def scrape_website(self, url):
        logger.info(f"Attempting to scrape the website: {url}")
        for attempt in range(self.max_retries):
            try:
                self.throttler.throttle()
                response = self.session.get(url, timeout=self.timeout)
                response.raise_for_status()
                logger.info(f"Successfully retrieved website content (status code: {response.status_code}).")
                return response.text
            except requests.exceptions.HTTPError as http_err:
                logger.warning(f"HTTP error on attempt {attempt+1}/{self.max_retries}: {http_err}")
                if attempt == self.max_retries - 1:
                    logger.error(f"Failed to retrieve {url} after {self.max_retries} attempts.")
                    raise
```

This refactor separates concerns and reduces cognitive load within `scrape_website`, while keeping all functionality intact.
```
created_at: 2025-03-08T21:32:42Z
author_association: CONTRIBUTOR
diff_hunk: @@ -11,3 +11,4 @@ python-dateutil>=2.9.0.post0
 types-requests>=2.31.0
 types-beautifulsoup4>=4.12.0
 mypy>=1.4.1
+pytest-benchmark>=3.4.1
path: requirements.txt
user: login: coderabbitai[bot]
body: _⚠️ Potential issue_

**Add psutil to requirements.txt**

You've added pytest-benchmark for benchmarking, but the code also uses the psutil module which isn't in requirements.txt. This is causing the CI pipeline to fail.

```diff
requests>=2.32.3
beautifulsoup4>=4.13.3
pytest>=8.3.5
markdownify>=0.11.0
pytest-mock>=3.14.0
argparse>=1.4.0
typing-extensions>=4.12.2
pathlib>=1.0.1
python-dateutil>=2.9.0.post0
# Type stubs for external libraries
types-requests>=2.31.0
types-beautifulsoup4>=4.12.0
mypy>=1.4.1
pytest-benchmark>=3.4.1
+psutil>=5.9.0
```


<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
requests>=2.32.3
beautifulsoup4>=4.13.3
pytest>=8.3.5
markdownify>=0.11.0
pytest-mock>=3.14.0
argparse>=1.4.0
typing-extensions>=4.12.2
pathlib>=1.0.1
python-dateutil>=2.9.0.post0
# Type stubs for external libraries
types-requests>=2.31.0
types-beautifulsoup4>=4.12.0
mypy>=1.4.1
pytest-benchmark>=3.4.1
psutil>=5.9.0
`````

</details>

<!-- suggestion_end -->

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-03-08T21:34:46Z
author_association: CONTRIBUTOR
diff_hunk: @@ -68,8 +68,16 @@ def scrape_website(self, url: str) -> str:
         Raises:
             requests.exceptions.RequestException: If the request fails after retries
         """
+        import time
+        import psutil
+        import tracemalloc
+
path: main.py
user: login: coderabbitai[bot]
body: _⚠️ Potential issue_

**Remove duplicate time import and add missing psutil dependency**

The module `time` is already imported at line 4. Also, psutil is missing from requirements.txt, causing CI pipeline failures.

```diff
-import time
import psutil
import tracemalloc
```

Don't forget to add psutil to requirements.txt:
```
psutil>=5.9.0
```


<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
        import psutil
        import tracemalloc
`````

`````suggestion
psutil>=5.9.0
`````

</details>

<!-- suggestion_end -->

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

71-71: Redefinition of unused `time` from line 4

Remove definition: `time`

(F811)

</details>
<details>
<summary>🪛 GitHub Actions: Python CI</summary>

[error] 71-71: AssertionError: assert '# Test\n\n# ...m 1\n- Item 2' == '# Test\n\n##...m 1\n- Item 2'

</details>

</details>

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-03-08T21:34:46Z
author_association: CONTRIBUTOR
diff_hunk: @@ -78,6 +86,19 @@
                 logger.info(
                     f"Successfully retrieved the website content (status code: {response.status_code})."
                 )
+
+                end_time = time.time()
+                execution_time = end_time - start_time
+                memory_usage = tracemalloc.get_traced_memory()
+                cpu_usage = process.cpu_percent(interval=None)
+                network_latency = response.elapsed.total_seconds()
+
+                logger.info(f"Execution time for scraping {url}: {execution_time:.2f} seconds")
+                logger.info(f"Memory usage for scraping {url}: {memory_usage[1] / 1024 / 1024:.2f} MB")
+                logger.info(f"CPU usage for scraping {url}: {cpu_usage:.2f}%")
+                logger.info(f"Network latency for scraping {url}: {network_latency:.2f} seconds")
+
path: main.py
user: login: coderabbitai[bot]
body: _🧹 Nitpick (assertive)_

**Use structured logging for performance metrics**

Consider using structured logging instead of f-strings to make the metrics more easily parseable by log analysis tools.

```diff
-logger.info(f"Execution time for scraping {url}: {execution_time:.2f} seconds")
-logger.info(f"Memory usage for scraping {url}: {memory_usage[1] / 1024 / 1024:.2f} MB")
-logger.info(f"CPU usage for scraping {url}: {cpu_usage:.2f}%")
-logger.info(f"Network latency for scraping {url}: {network_latency:.2f} seconds")
+logger.info("Performance metrics for scraping %s: execution_time=%.2fs memory_usage=%.2fMB cpu_usage=%.2f%% network_latency=%.2fs",
+            url, execution_time, memory_usage[1] / 1024 / 1024, cpu_usage, network_latency)
```


<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
                logger.info("Performance metrics for scraping %s: execution_time=%.2fs memory_usage=%.2fMB cpu_usage=%.2f%% network_latency=%.2fs",
                            url, execution_time, memory_usage[1] / 1024 / 1024, cpu_usage, network_latency)
`````

</details>

<!-- suggestion_end -->

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

96-96: Logging statement uses f-string

(G004)

---

97-97: Logging statement uses f-string

(G004)

---

98-98: Logging statement uses f-string

(G004)

---

99-99: Logging statement uses f-string

(G004)

</details>

</details>

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-03-08T21:34:46Z
author_association: CONTRIBUTOR
diff_hunk: @@ -78,6 +86,19 @@
                 logger.info(
                     f"Successfully retrieved the website content (status code: {response.status_code})."
                 )
+
+                end_time = time.time()
+                execution_time = end_time - start_time
+                memory_usage = tracemalloc.get_traced_memory()
+                cpu_usage = process.cpu_percent(interval=None)
+                network_latency = response.elapsed.total_seconds()
+
+                logger.info(f"Execution time for scraping {url}: {execution_time:.2f} seconds")
+                logger.info(f"Memory usage for scraping {url}: {memory_usage[1] / 1024 / 1024:.2f} MB")
+                logger.info(f"CPU usage for scraping {url}: {cpu_usage:.2f}%")
+                logger.info(f"Network latency for scraping {url}: {network_latency:.2f} seconds")
+
+                tracemalloc.stop()
path: main.py
user: login: coderabbitai[bot]
body: _⚠️ Potential issue_

**Ensure tracemalloc is stopped in error cases**

The tracemalloc module is started but only stopped on the success path. If an exception occurs, tracemalloc will continue running, which could lead to memory leaks.

Consider using a try-finally block to ensure tracemalloc is always stopped:

```diff
import time
import psutil
import tracemalloc

logger.info(f"Attempting to scrape the website: {url}")

start_time = time.time()
tracemalloc.start()
process = psutil.Process()

+try:
   for attempt in range(self.max_retries):
       # Existing code
       
+finally:
+    tracemalloc.stop()
```


<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
import time
import psutil
import tracemalloc

logger.info(f"Attempting to scrape the website: {url}")

start_time = time.time()
tracemalloc.start()
process = psutil.Process()

try:
    for attempt in range(self.max_retries):
        # Existing code
        pass  # Remove or update this placeholder with the actual scraping logic
finally:
    tracemalloc.stop()
`````

</details>

<!-- suggestion_end -->

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-03-08T21:34:47Z
author_association: CONTRIBUTOR
diff_hunk: @@ -166,6 +166,14 @@ The project includes comprehensive unit tests. To run them:
 pytest
 ```
 
+## Running Benchmarks
+
+To run benchmarks using `pytest-benchmark`, use the following command:
+
+```bash
+pytest --benchmark-only
+```
path: README.md
user: login: coderabbitai[bot]
body: _🧹 Nitpick (assertive)_

**Consider adding more benchmark usage examples**

While the basic command is helpful, consider expanding this section with examples of how to run specific benchmarks or interpret results.

```diff
## Running Benchmarks

To run benchmarks using `pytest-benchmark`, use the following command:

```bash
pytest --benchmark-only
```

+For more detailed benchmark output, you can use:
+
+```bash
+pytest --benchmark-only --benchmark-verbose
+```
+
+To save benchmark results to a file:
+
+```bash
+pytest --benchmark-only --benchmark-json=output.json
+```
+
+To compare with previous benchmark results:
+
+```bash
+pytest --benchmark-only --benchmark-compare=output.json
+```
```

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-03-08T21:34:47Z
author_association: CONTRIBUTOR
diff_hunk: @@ -0,0 +1,37 @@
+import pytest
+from main import MarkdownScraper
+
+@pytest.mark.benchmark(group="scrape_website")
+def test_scrape_website_benchmark(benchmark):
+    scraper = MarkdownScraper()
+    url = "http://example.com"
+    benchmark(scraper.scrape_website, url)
path: test_benchmarks.py
user: login: coderabbitai[bot]
body: _🧹 Nitpick (assertive)_

**Consider mocking HTTP requests in benchmarks**

Using "http://example.com" as a test URL introduces external dependencies and may cause inconsistent benchmark results due to network variability. For reliable benchmarks, consider using a mocked response or local test server.


```diff
-    url = "http://example.com"
-    benchmark(scraper.scrape_website, url)
+    url = "http://example.com"
+    # Use a mock or patch requests to avoid real network calls
+    with unittest.mock.patch('requests.get') as mock_get:
+        mock_get.return_value.status_code = 200
+        mock_get.return_value.text = "<html><body><h1>Example</h1></body></html>"
+        benchmark(scraper.scrape_website, url)
```

Don't forget to add the required import:
```python
import unittest.mock
```

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

5-5: Missing return type annotation for public function `test_scrape_website_benchmark`

Add return type annotation: `None`

(ANN201)

---

5-5: Missing type annotation for function argument `benchmark`

(ANN001)

</details>
<details>
<summary>🪛 GitHub Actions: Python CI</summary>

[error] 8-8: ModuleNotFoundError: No module named 'psutil'

</details>

</details>

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-03-08T21:34:47Z
author_association: CONTRIBUTOR
diff_hunk: @@ -0,0 +1,37 @@
+import pytest
+from main import MarkdownScraper
+
+@pytest.mark.benchmark(group="scrape_website")
+def test_scrape_website_benchmark(benchmark):
path: test_benchmarks.py
user: login: coderabbitai[bot]
body: _🧹 Nitpick (assertive)_

**Add type annotations to benchmark functions**

Adding type hints improves code quality and helps with static analysis.


```diff
 @pytest.mark.benchmark(group="scrape_website")
-def test_scrape_website_benchmark(benchmark):
+def test_scrape_website_benchmark(benchmark: BenchmarkFixture) -> None:
```


<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
@pytest.mark.benchmark(group="scrape_website")
def test_scrape_website_benchmark(benchmark: BenchmarkFixture) -> None:
`````

</details>

<!-- suggestion_end -->

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

5-5: Missing return type annotation for public function `test_scrape_website_benchmark`

Add return type annotation: `None`

(ANN201)

---

5-5: Missing type annotation for function argument `benchmark`

(ANN001)

</details>

</details>

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-03-08T21:34:47Z
author_association: CONTRIBUTOR
diff_hunk: @@ -0,0 +1,37 @@
+import pytest
+from main import MarkdownScraper
+
path: test_benchmarks.py
user: login: coderabbitai[bot]
body: _🧹 Nitpick (assertive)_

**Add type annotations (optional)**

The static analysis tool suggests adding type annotations for function parameters and return types. This improves code readability and helps with type checking.


```diff
 import pytest
 from main import MarkdownScraper
+from pytest_benchmark.fixture import BenchmarkFixture
+from pathlib import Path
```


> Committable suggestion skipped: line range outside the PR's diff.

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-03-08T21:34:47Z
author_association: CONTRIBUTOR
diff_hunk: @@ -5,3 +5,20 @@ description = "Add your description here"
 readme = "README.md"
 requires-python = ">=3.12"
 dependencies = []
+
+[tool.pytest.ini_options]
+benchmark_min_rounds = 5
+benchmark_max_time = 1.0
+benchmark_save = true
+benchmark_save_data = true
+benchmark_enable = true
+benchmark_group_by = "group"
+benchmark_sort = "name"
+benchmark_columns = ["min", "max", "mean", "stddev", "median", "iqr", "outliers", "rounds", "iterations"]
+benchmark_timer = "time.perf_counter"
+benchmark_disable_gc = true
+benchmark_warmup = true
+benchmark_skip = false
+benchmark_only = false
+benchmark_max_iterations = 100000
+benchmark_min_time = 0.000005
path: pyproject.toml
user: login: coderabbitai[bot]
body: _🧹 Nitpick (assertive)_

**Good benchmark configuration but consider some adjustments**

The configuration is comprehensive, but a few settings might need adjustment for optimal benchmarking:

1. `benchmark_disable_gc = true` - Disabling garbage collection may give more consistent results but might not reflect real-world performance
2. `benchmark_max_iterations = 100000` - This high value could lead to long-running tests
3. `benchmark_min_time = 0.000005` - This very small value might lead to noisy results

Additionally, ensure that the `psutil` dependency is added to your project dependencies to fix the pipeline failure.


```diff
[project]
name = "markdown-lab"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.12"
-dependencies = []
+dependencies = ["psutil"]

[tool.pytest.ini_options]
benchmark_min_rounds = 5
benchmark_max_time = 1.0
benchmark_save = true
benchmark_save_data = true
benchmark_enable = true
benchmark_group_by = "group"
benchmark_sort = "name"
benchmark_columns = ["min", "max", "mean", "stddev", "median", "iqr", "outliers", "rounds", "iterations"]
benchmark_timer = "time.perf_counter"
-benchmark_disable_gc = true
+benchmark_disable_gc = false
benchmark_warmup = true
benchmark_skip = false
benchmark_only = false
-benchmark_max_iterations = 100000
+benchmark_max_iterations = 10000
-benchmark_min_time = 0.000005
+benchmark_min_time = 0.001
```


<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
[project]
name = "markdown-lab"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.12"
dependencies = ["psutil"]

[tool.pytest.ini_options]
benchmark_min_rounds = 5
benchmark_max_time = 1.0
benchmark_save = true
benchmark_save_data = true
benchmark_enable = true
benchmark_group_by = "group"
benchmark_sort = "name"
benchmark_columns = ["min", "max", "mean", "stddev", "median", "iqr", "outliers", "rounds", "iterations"]
benchmark_timer = "time.perf_counter"
benchmark_disable_gc = false
benchmark_warmup = true
benchmark_skip = false
benchmark_only = false
benchmark_max_iterations = 10000
benchmark_min_time = 0.001
`````

</details>

<!-- suggestion_end -->

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-03-08T21:34:47Z
author_association: CONTRIBUTOR

PR comments:
user: login: sourcery-ai[bot]
created_at: 2025-03-08T21:31:46Z
body: <!-- Generated by sourcery-ai[bot]: start review_guide -->

## Reviewer's Guide by Sourcery

This pull request introduces performance benchmarking using `pytest-benchmark`. It adds benchmark tests for key methods in `MarkdownScraper`, measures execution time, memory usage, CPU usage, and network latency within the `scrape_website` method, and updates the documentation with instructions on running benchmarks. The test suite was also updated to properly mock network latency.

#### Sequence diagram for scrape_website method with performance metrics

```mermaid
sequenceDiagram
  participant User
  participant MarkdownScraper
  participant Throttler
  participant requests
  participant Logger

  User->>MarkdownScraper: scrape_website(url)
  activate MarkdownScraper
  MarkdownScraper->>MarkdownScraper: start_time = time.time()
  MarkdownScraper->>MarkdownScraper: tracemalloc.start()
  MarkdownScraper->>MarkdownScraper: process = psutil.Process()
  loop max_retries
    MarkdownScraper->>Throttler: throttle()
    activate Throttler
    Throttler-->>MarkdownScraper: 
    deactivate Throttler
    MarkdownScraper->>requests: get(url)
    activate requests
    requests-->>MarkdownScraper: response
    deactivate requests
    MarkdownScraper->>Logger: log(status_code)
    activate Logger
    Logger-->>MarkdownScraper: 
    deactivate Logger
    MarkdownScraper->>MarkdownScraper: end_time = time.time()
    MarkdownScraper->>MarkdownScraper: execution_time = end_time - start_time
    MarkdownScraper->>MarkdownScraper: memory_usage = tracemalloc.get_traced_memory()
    MarkdownScraper->>MarkdownScraper: cpu_usage = process.cpu_percent(interval=None)
    MarkdownScraper->>MarkdownScraper: network_latency = response.elapsed.total_seconds()
    MarkdownScraper->>Logger: log(execution_time, memory_usage, cpu_usage, network_latency)
    activate Logger
    Logger-->>MarkdownScraper: 
    deactivate Logger
    MarkdownScraper->>MarkdownScraper: tracemalloc.stop()
    MarkdownScraper-->>User: response.text
  end
  deactivate MarkdownScraper
```

### File-Level Changes

| Change | Details | Files |
| ------ | ------- | ----- |
| Integrated `pytest-benchmark` for performance testing. | <ul><li>Added `pytest-benchmark` to `requirements.txt`.</li><li>Configured `pytest-benchmark` in `pyproject.toml` with settings for minimum rounds, maximum time, saving data, grouping, sorting, and more.</li><li>Created `test_benchmarks.py` with benchmark tests for `MarkdownScraper` methods like `scrape_website`, `convert_to_markdown`, `save_markdown`, `create_chunks`, and `save_chunks`.</li></ul> | `requirements.txt`<br/>`pyproject.toml`<br/>`test_benchmarks.py` |
| Enhanced `scrape_website` method to measure performance metrics. | <ul><li>Added code to measure execution time using `time.time()`.</li><li>Added code to measure memory usage using `tracemalloc`.</li><li>Added code to measure CPU usage using `psutil`.</li><li>Added code to measure network latency using `response.elapsed.total_seconds()`.</li><li>Added logging for execution time, memory usage, CPU usage, and network latency.</li></ul> | `main.py` |
| Updated documentation to include instructions for running benchmarks. | <ul><li>Added a section in `README.md` detailing how to run benchmarks using `pytest --benchmark-only`.</li></ul> | `README.md` |
| Modified `test_scrape_website_success` to mock network latency. | <ul><li>Updated `test_scrape_website_success` in `test_main.py` to mock `response.elapsed.total_seconds`.</li></ul> | `test_main.py` |

---

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<summary>Tips and commands</summary>

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</details>

<!-- Generated by sourcery-ai[bot]: end review_guide -->
author_association: CONTRIBUTOR
user: login: coderabbitai[bot]
created_at: 2025-03-08T21:31:49Z
body: <!-- This is an auto-generated comment: summarize by coderabbit.ai -->
<!-- walkthrough_start -->

<details>
<summary>📝 Walkthrough</summary>

## Summary by CodeRabbit

- **Documentation**
  - Added a new section with instructions for running performance benchmarks.
  
- **New Features**
  - Enhanced the web scraping functionality with performance monitoring to track execution time, memory, CPU usage, and network latency.
  - Improved benchmark configuration settings for more consistent performance evaluation.
  
- **Tests**
  - Introduced new benchmark tests to validate the performance enhancements.
  
- **Chores**
  - Updated project dependencies to support benchmarking functionality.
## Walkthrough
The pull request introduces enhancements for benchmarking performance within the project. It updates the README with a new section for running benchmarks, modifies the `scrape_website` method to track performance metrics, and adds configuration settings for pytest benchmarking in the project files. A new test file is created for benchmarking various methods in the `MarkdownScraper` class, while an existing test is updated to simulate network latency.

## Changes
| Files                                                    | Change Summary |
|----------------------------------------------------------|----------------|
| `README.md`                                             | Added a "Running Benchmarks" section with instructions and the `pytest --benchmark-only` command. |
| `main.py`                                               | Enhanced `MarkdownScraper.scrape_website` to record execution time, memory usage, CPU usage, and network latency using `time`, `psutil`, and `tracemalloc`; logs performance metrics. |
| `pyproject.toml`, `requirements.txt`                     | Added the `[tool.pytest.ini_options]` section with various benchmark configuration options and introduced a new dependency `pytest-benchmark>=3.4.1`. |
| `test_benchmarks.py`, `test_main.py`                     | Introduced new benchmark test cases for different methods in `MarkdownScraper` and updated a test to include simulated HTTP response latency. |

## Sequence Diagram(s)
```mermaid
sequenceDiagram
    participant U as User/Tester
    participant MS as MarkdownScraper
    participant WS as Web Service
    participant PT as Performance Tracker

    U->>MS: Call scrape_website(url)
    MS->>PT: Start timer & memory tracking (tracemalloc, psutil)
    MS->>WS: Send HTTP request
    WS-->>MS: Return response
    MS->>PT: Calculate execution time, memory usage, CPU load, network latency
    MS->>MS: Log performance metrics
    MS->>PT: Stop memory tracking
    MS-->>U: Return scraped content
```

## Poem
> I'm a bunny in code, on a happy little quest,  
> With benchmarks and metrics, my methods perform at their best.  
> I hop through the logs with a curious glance,  
> Measuring time and memory with every swift prance.  
> Carrots and code, a delightful blend of art—  
> Cheers from this rabbit, with a joyful heart!  
> 🥕🐇💻

</details>

<!-- walkthrough_end -->


---

<details>
<summary>📜 Recent review details</summary>

**Configuration used: CodeRabbit UI**
**Review profile: ASSERTIVE**
**Plan: Lite**

<details>
<summary>📥 Commits</summary>

Reviewing files that changed from the base of the PR and between af51b9a7524ba28bb0e03153c35c948387f23983 and 3b0419c79e61791f28b19a74324190305e3cc2ef.

</details>

<details>
<summary>📒 Files selected for processing (1)</summary>

* `main.py` (4 hunks)

</details>

<details>
<summary>🔇 Additional comments (5)</summary><blockquote>

<details>
<summary>main.py (5)</summary>

`69-72`: **Redundant import and placement issues.**

There are a few issues with these imports:
- `time` is already imported at line 4, making this a redundant import.
- Imports should be placed at the module level, not inside a method. This creates unnecessary overhead as they're reimported each time the method is called.


Consider removing the redundant time import and moving all imports to the module level.

---

`75-99`: **Consider extracting the instrumentation code into a separate decorator.**

The performance monitoring code mixes concerns by embedding instrumentation directly in the scraping method. This makes the code harder to maintain and reduces reusability.


Extract this instrumentation logic into a decorator or helper function that can be applied to any method requiring performance monitoring. This will improve separation of concerns and code organization.

Additionally, ensure tracemalloc is always stopped even in error cases by using a try-finally block:

```diff
def scrape_website(self, url: str) -> str:
    import time
    import psutil
    import tracemalloc

    logger.info(f"Attempting to scrape the website: {url}")

    start_time = time.time()
    tracemalloc.start()
    process = psutil.Process()

+   try:
        for attempt in range(self.max_retries):
            # Existing code...
+   finally:
+       tracemalloc.stop()
```

---

`94-98`: **Use structured logging for performance metrics.**

Using f-strings with logging makes it difficult for log analysis tools to parse and extract the metrics.


Replace multiple f-string log statements with a single structured logging call:

```diff
-logger.info(f"Execution time for scraping {url}: {execution_time:.2f} seconds")
-logger.info(f"Memory usage for scraping {url}: {memory_usage[1] / 1024 / 1024:.2f} MB")
-logger.info(f"CPU usage for scraping {url}: {cpu_usage:.2f}%")
-logger.info(f"Network latency for scraping {url}: {network_latency:.2f} seconds")
+logger.info("Performance metrics for scraping %s: execution_time=%.2fs memory_usage=%.2fMB cpu_usage=%.2f%% network_latency=%.2fs",
+            url, execution_time, memory_usage[1] / 1024 / 1024, cpu_usage, network_latency)
```

---

`91-91`: **CPU percentage measurement looks correct.**

The CPU percentage measurement now uses an interval parameter as previously suggested, which should provide more accurate readings.

---

`524-537`: **Clear and comprehensive command-line argument definitions.**

The command-line arguments are well-defined with appropriate help text, making the tool more user-friendly. The added parameters align well with the benchmarking capabilities.

</details>

</blockquote></details>

</details>
<!-- internal state start -->


<!-- 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author_association: CONTRIBUTOR