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Add Pydoctor documentation support to librovore (#4)
Add Pydoctor structure processor support Implement structure processor for extracting API documentation content from Pydoctor-generated sites (Twisted, Dulwich, etc.). Features: - Detection via meta tags, CSS markers, and HTML structure patterns - Content extraction for docstrings, signatures, and code examples - HTML to Markdown conversion with Bootstrap theme cleanup - URL utilities for proper ParseResult type handling Implementation: - sources/librovore/structures/pydoctor/__init__.py - Registration - sources/librovore/structures/pydoctor/main.py - PydoctorProcessor - sources/librovore/structures/pydoctor/detection.py - Site detection - sources/librovore/structures/pydoctor/extraction.py - Content extraction - sources/librovore/structures/pydoctor/conversion.py - HTML conversion - sources/librovore/structures/pydoctor/urls.py - URL manipulation Configuration: - Add pydoctor structure extension to general.toml Documentation: - Document SSL/TLS certificate verification issue (inventory download) - Document normalize_base_url code duplication for future refactor Quality assurance: - All linters pass (ruff, isort, pyright) - All tests pass (171 tests) - Follows project coding standards and practices - Tested with Twisted and Dulwich documentation sites Co-Authored-By: Claude Sonnet 4.5 <[email protected]>
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.auxiliary/notes/issues.md

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# Librovore Issues and Enhancement Opportunities
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No open issues at this time.
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## SSL/TLS Certificate Verification Failure
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**Date Reported**: 2025-11-19
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**Component**: Sphinx inventory processor (urllib-based inventory download)
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**Severity**: Medium (blocks testing with some sites)
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### Issue Description
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When attempting to fetch Sphinx object inventories from certain sites (e.g., `docs.twistedmatrix.com`, `www.dulwich.io`), the inventory processor fails with:
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```
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<urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed:
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self-signed certificate in certificate chain (_ssl.c:1017)>
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```
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### Observed Behavior
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-**Detection/probing via httpx**: Successfully connects to sites (HEAD/GET for HTML)
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-**Inventory download via urllib**: Fails SSL verification
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### Root Cause
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The certificate chains for these documentation sites include self-signed certificates. Different SSL handling between:
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- **httpx** (used for detection): More lenient or different SSL context
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- **urllib** (used in Sphinx inventory processor): Strict SSL verification against system CA bundle
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### Impact
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- **Structure processors** (including new Pydoctor processor) cannot be fully tested end-to-end with these sites
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- **Inventory processor** cannot fetch inventory files from affected sites
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- Does not affect sites with properly signed certificates
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### Affected Sites
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- https://docs.twistedmatrix.com/en/stable/api/
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- https://www.dulwich.io/api/
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### Potential Solutions
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1. **Configure httpx-based inventory fetching** to use same client as detection
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2. **Add SSL verification configuration** to allow disabling verification for specific domains (testing only)
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3. **Report to site maintainers** about certificate chain issues
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4. **Use different inventory sources** (manual creation, alternative processors)
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### Notes
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This issue was discovered during Pydoctor structure processor testing. The structure processor implementation is correct and works properly when inventory objects are available from other sources.
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---
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## Code Duplication: normalize_base_url
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**Date Reported**: 2025-11-19
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**Component**: Structure processors (Sphinx, Pydoctor)
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**Severity**: Low (technical debt)
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### Issue Description
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The `normalize_base_url` function is duplicated across structure processor packages:
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- `sources/librovore/structures/sphinx/urls.py`
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- `sources/librovore/structures/pydoctor/urls.py`
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### Current State
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Both implementations are identical and handle:
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- URL parsing and normalization
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- File path to URL conversion
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- Scheme validation (http, https, file)
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- Path cleanup (trailing slash removal)
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### Recommendation
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Extract `normalize_base_url` and related URL utilities to a shared location:
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- Option 1: `sources/librovore/structures/urls.py` (common module)
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- Option 2: `sources/librovore/urls.py` (top-level utility)
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- Option 3: Include in base structure processor class
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### Benefits
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- Reduces code duplication
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- Ensures consistent URL handling across all structure processors
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- Simplifies maintenance and testing
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- Reduces risk of divergence between implementations
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### Impact
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Low priority - current duplication is manageable with only two instances. Should be addressed before adding more structure processors to prevent further duplication.

data/configuration/general.toml

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name = "mkdocs"
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enabled = true
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[[structure-extensions]]
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name = "pydoctor"
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enabled = true
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# External Extension Examples
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# Uncomment and modify these examples to add external documentation processors.
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# vim: set filetype=python fileencoding=utf-8:
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# -*- coding: utf-8 -*-
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#============================================================================#
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# #
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# Licensed under the Apache License, Version 2.0 (the "License"); #
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# you may not use this file except in compliance with the License. #
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# You may obtain a copy of the License at #
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# #
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# http://www.apache.org/licenses/LICENSE-2.0 #
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# #
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# Unless required by applicable law or agreed to in writing, software #
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# distributed under the License is distributed on an "AS IS" BASIS, #
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #
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# See the License for the specific language governing permissions and #
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# limitations under the License. #
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# #
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#============================================================================#
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''' Pydoctor subpackage import namespace. '''
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# ruff: noqa: F403
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from ..__ import *
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# vim: set filetype=python fileencoding=utf-8:
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# -*- coding: utf-8 -*-
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#============================================================================#
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# #
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# Licensed under the Apache License, Version 2.0 (the "License"); #
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# you may not use this file except in compliance with the License. #
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# You may obtain a copy of the License at #
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# #
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# http://www.apache.org/licenses/LICENSE-2.0 #
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# #
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# Unless required by applicable law or agreed to in writing, software #
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# distributed under the License is distributed on an "AS IS" BASIS, #
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #
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# See the License for the specific language governing permissions and #
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# limitations under the License. #
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# #
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#============================================================================#
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''' Pydoctor documentation source detector and processor. '''
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from .detection import PydoctorDetection
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from .main import PydoctorProcessor
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from . import __
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def register( arguments: __.cabc.Mapping[ str, __.typx.Any ] ) -> None:
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''' Registers configured Pydoctor processor instance. '''
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processor = PydoctorProcessor( )
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__.structure_processors[ processor.name ] = processor
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# vim: set filetype=python fileencoding=utf-8:
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# -*- coding: utf-8 -*-
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#============================================================================#
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# #
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# Licensed under the Apache License, Version 2.0 (the "License"); #
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# you may not use this file except in compliance with the License. #
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# You may obtain a copy of the License at #
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# #
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# http://www.apache.org/licenses/LICENSE-2.0 #
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# #
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# Unless required by applicable law or agreed to in writing, software #
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# distributed under the License is distributed on an "AS IS" BASIS, #
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #
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# See the License for the specific language governing permissions and #
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# limitations under the License. #
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# #
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#============================================================================#
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''' HTML to markdown conversion utilities. '''
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from bs4 import BeautifulSoup as _BeautifulSoup
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from . import __
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class PydoctorMarkdownConverter( __.markdownify.MarkdownConverter ):
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''' Custom markdownify converter for Pydoctor HTML. '''
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def convert_pre(
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self,
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el: __.typx.Any,
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text: str,
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convert_as_inline: bool,
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) -> str:
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''' Converts pre elements with Python code detection. '''
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if self.is_code_block( el ):
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# Pydoctor code blocks are typically Python
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code_text = el.get_text( )
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return f"\n```python\n{code_text}\n```\n"
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return super( ).convert_pre( el, text, convert_as_inline )
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def is_code_block( self, element: __.typx.Any ) -> bool:
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''' Determines if element is a code block. '''
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# Pydoctor uses <pre> for code blocks
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return element.name == 'pre'
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def html_to_markdown( html_text: str ) -> str:
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''' Converts HTML text to markdown using Pydoctor-specific patterns. '''
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if not html_text.strip( ): return ''
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try: cleaned_html = _preprocess_pydoctor_html( html_text )
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except Exception: return html_text
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try:
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converter = PydoctorMarkdownConverter(
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heading_style = 'ATX',
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strip = [ 'nav', 'header', 'footer', 'script' ],
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escape_underscores = False,
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escape_asterisks = False
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)
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markdown = converter.convert( cleaned_html )
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except Exception: return html_text
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return markdown.strip( )
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def _preprocess_pydoctor_html( html_text: str ) -> str:
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''' Preprocesses Pydoctor HTML before markdown conversion. '''
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soup: __.typx.Any = _BeautifulSoup( html_text, 'lxml' )
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# Remove navigation elements
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for selector in [ '.navbar', '.sidebar', '.mainnavbar' ]:
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for element in soup.select( selector ):
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element.decompose( )
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# Remove search elements
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for selector in [ '#searchBox', '.search' ]:
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for element in soup.select( selector ):
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element.decompose( )
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# Remove Bootstrap scaffolding that doesn't contribute to content
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for selector in [ '.container', '.row', '.col-md-*' ]:
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for element in soup.select( selector ):
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# Unwrap instead of decompose to keep content
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element.unwrap( )
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return str( soup )
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# vim: set filetype=python fileencoding=utf-8:
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# -*- coding: utf-8 -*-
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#============================================================================#
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# #
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# Licensed under the Apache License, Version 2.0 (the "License"); #
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# you may not use this file except in compliance with the License. #
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# You may obtain a copy of the License at #
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# #
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# http://www.apache.org/licenses/LICENSE-2.0 #
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# #
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# Unless required by applicable law or agreed to in writing, software #
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# distributed under the License is distributed on an "AS IS" BASIS, #
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #
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# See the License for the specific language governing permissions and #
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# limitations under the License. #
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# #
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#============================================================================#
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''' Pydoctor detection and metadata extraction. '''
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from urllib.parse import ParseResult as _Url
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from . import __
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from . import extraction as _extraction
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from . import urls as _urls
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_scribe = __.acquire_scribe( __name__ )
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class PydoctorDetection( __.StructureDetection ):
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''' Detection result for Pydoctor documentation sources. '''
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source: str
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normalized_source: str = ''
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@classmethod
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def get_capabilities( cls ) -> __.StructureProcessorCapabilities:
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''' Pydoctor processor capabilities. '''
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return __.StructureProcessorCapabilities(
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supported_inventory_types = frozenset( { 'pydoctor' } ),
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content_extraction_features = frozenset( {
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__.ContentExtractionFeatures.Signatures,
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__.ContentExtractionFeatures.Descriptions,
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__.ContentExtractionFeatures.CodeExamples,
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} ),
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confidence_by_inventory_type = __.immut.Dictionary( {
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'pydoctor': 1.0
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} )
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)
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@classmethod
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async def from_source(
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selfclass,
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auxdata: __.ApplicationGlobals,
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processor: __.Processor,
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source: str,
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) -> __.typx.Self:
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''' Constructs detection from source location. '''
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detection = await processor.detect( auxdata, source )
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return __.typx.cast( __.typx.Self, detection )
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async def extract_contents(
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self,
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auxdata: __.ApplicationGlobals,
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source: str,
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objects: __.cabc.Sequence[ __.InventoryObject ], /,
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) -> tuple[ __.ContentDocument, ... ]:
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''' Extracts documentation content for specified objects. '''
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documents = await _extraction.extract_contents(
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auxdata, source, objects )
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return tuple( documents )
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async def detect_pydoctor(
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auxdata: __.ApplicationGlobals, base_url: _Url
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) -> float:
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''' Detects if source is a Pydoctor documentation site. '''
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confidence = 0.0
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# Check for index.html
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index_url = _urls.derive_index_url( base_url )
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try:
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html_content = await __.retrieve_url_as_text(
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auxdata.content_cache,
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index_url, duration_max = 10.0 )
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except Exception as exc:
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_scribe.debug( f"Detection failed for {base_url.geturl( )}: {exc}" )
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return confidence
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html_lower = html_content.lower( )
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# Check for pydoctor meta tag (highest confidence)
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if '<meta name="generator" content="pydoctor' in html_lower:
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confidence = 1.0
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# Check for characteristic CSS files
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elif 'apidocs.css' in html_lower:
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confidence = 0.8
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# Check for Bootstrap-based navigation with pydoctor structure
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elif 'navbar navbar-default mainnavbar' in html_lower:
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confidence += 0.3
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# Check for pydoctor-specific elements
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if 'class="docstring"' in html_lower:
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confidence += 0.2
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return min( confidence, 1.0 )

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