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Release prep (#749)

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* fix: Update export of URLPatternFilter

* chore: Add dependancy for cchardet in requirements

* docs: Update example for deep crawl in release note for v0.5

* Docs: update the example for memory dispatcher

* docs: updated example for crawl strategies

* Refactor: Removed wrapping in if __name__==main block since this is a markdown file.

* chore: removed cchardet from dependancy list, since unclecode is planning to remove it

* docs: updated the example for proxy rotation to a working example

* feat: Introduced ProxyConfig param

* Add tutorial for deep crawl & update contributor list for bug fixes in feb alpha-1

* chore: update and test new dependancies

* feat:Make PyPDF2 a conditional dependancy

* updated tutorial and release note for v0.5

* docs: update docs for deep crawl, and fix a typo in docker-deployment markdown filename

* refactor: 1. Deprecate markdown_v2 2. Make markdown backward compatible to behave as a string when needed. 3. Fix LlmConfig usage in cli 4. Deprecate markdown_v2 in cli 5. Update AsyncWebCrawler for changes in CrawlResult

* fix: Bug in serialisation of markdown in acache_url

* Refactor: Added deprecation errors for fit_html and fit_markdown directly on markdown. Now access them via markdown

* fix: remove deprecated markdown_v2 from docker

* Refactor: remove deprecated fit_markdown and fit_html from result

* refactor: fix cache retrieval for markdown as a string

* chore: update all docs, examples and tests with deprecation announcements for markdown_v2, fit_html, fit_markdown
This commit is contained in:
Aravind
2025-02-28 17:23:35 +05:30
committed by GitHub
parent 3a87b4e43b
commit a9e24307cc
38 changed files with 2040 additions and 326 deletions
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24
docs/examples/quickstart_async.py
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@@ -514,9 +514,9 @@ async def speed_comparison():
end = time.time()
print("Crawl4AI (Markdown Plus):")
print(f"Time taken: {end - start:.2f} seconds")
print(f"Content length: {len(result.markdown_v2.raw_markdown)} characters")
print(f"Fit Markdown: {len(result.markdown_v2.fit_markdown)} characters")
print(f"Images found: {result.markdown.count('cldnry.s-nbcnews.com')}")
print(f"Content length: {len(result.markdown.raw_markdown)} characters")
print(f"Fit Markdown: {len(result.markdown.fit_markdown)} characters")
print(f"Images found: {result.markdown.raw_markdown.count('cldnry.s-nbcnews.com')}")
print()
# Crawl4AI with JavaScript execution
@@ -539,9 +539,9 @@ async def speed_comparison():
end = time.time()
print("Crawl4AI (with JavaScript execution):")
print(f"Time taken: {end - start:.2f} seconds")
print(f"Content length: {len(result.markdown)} characters")
print(f"Fit Markdown: {len(result.markdown_v2.fit_markdown)} characters")
print(f"Images found: {result.markdown.count('cldnry.s-nbcnews.com')}")
print(f"Content length: {len(result.markdown.raw_markdown)} characters")
print(f"Fit Markdown: {len(result.markdown.fit_markdown)} characters")
print(f"Images found: {result.markdown.raw_markdown.count('cldnry.s-nbcnews.com')}")
print("\nNote on Speed Comparison:")
print("The speed test conducted here may not reflect optimal conditions.")
@@ -613,9 +613,9 @@ async def fit_markdown_remove_overlay():
)
if result.success:
print(len(result.markdown_v2.raw_markdown))
print(len(result.markdown_v2.markdown_with_citations))
print(len(result.markdown_v2.fit_markdown))
print(len(result.markdown.raw_markdown))
print(len(result.markdown.markdown_with_citations))
print(len(result.markdown.fit_markdown))
# Save clean html
with open(os.path.join(__location__, "output/cleaned_html.html"), "w") as f:
@@ -624,18 +624,18 @@ async def fit_markdown_remove_overlay():
with open(
os.path.join(__location__, "output/output_raw_markdown.md"), "w"
) as f:
f.write(result.markdown_v2.raw_markdown)
f.write(result.markdown.raw_markdown)
with open(
os.path.join(__location__, "output/output_markdown_with_citations.md"),
"w",
) as f:
f.write(result.markdown_v2.markdown_with_citations)
f.write(result.markdown.markdown_with_citations)
with open(
os.path.join(__location__, "output/output_fit_markdown.md"), "w"
) as f:
f.write(result.markdown_v2.fit_markdown)
f.write(result.markdown.fit_markdown)
print("Done")