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Memory management - Run HTML to text in sub process, a few more cleanups to playwright (#3110)
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@@ -59,7 +59,10 @@ def capture_full_page(page):
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p.join()
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logger.debug(
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f"Screenshot (chunked/stitched) - Page height: {page_height} Capture height: {SCREENSHOT_MAX_TOTAL_HEIGHT} - Stitched together in {time.time() - start:.2f}s")
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# Explicit cleanup
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del screenshot_chunks
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del p
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del parent_conn, child_conn
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screenshot_chunks = None
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return screenshot
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@@ -286,12 +289,28 @@ class fetcher(Fetcher):
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pass
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# Clean up resources properly
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context.close()
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context = None
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try:
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self.page.request_gc()
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except:
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pass
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self.page.close()
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try:
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self.page.close()
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except:
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pass
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self.page = None
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browser.close()
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borwser = None
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try:
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context.close()
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except:
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pass
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context = None
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try:
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browser.close()
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except:
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pass
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browser = None
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@@ -435,7 +435,9 @@ def cdata_in_document_to_text(html_content: str, render_anchor_tag_content=False
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return re.sub(pattern, repl, html_content)
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def html_to_text(html_content: str, render_anchor_tag_content=False, is_rss=False) -> str:
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def html_to_text_sub_worker(conn, html_content: str, render_anchor_tag_content=False, is_rss=False):
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from inscriptis import get_text
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from inscriptis.model.config import ParserConfig
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@@ -470,9 +472,19 @@ def html_to_text(html_content: str, render_anchor_tag_content=False, is_rss=Fals
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html_content = re.sub(r'</title>', r'</h1>', html_content)
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text_content = get_text(html_content, config=parser_config)
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conn.send(text_content)
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conn.close()
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return text_content
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# NOTE!! ANYTHING LIBXML, HTML5LIB ETC WILL CAUSE SOME SMALL MEMORY LEAK IN THE LOCAL "LIB" IMPLEMENTATION OUTSIDE PYTHON
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def html_to_text(html_content: str, render_anchor_tag_content=False, is_rss=False):
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from multiprocessing import Process, Pipe
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parent_conn, child_conn = Pipe()
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p = Process(target=html_to_text_sub_worker, args=(child_conn, html_content, render_anchor_tag_content, is_rss))
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p.start()
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text = parent_conn.recv()
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p.join()
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return text
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# Does LD+JSON exist with a @type=='product' and a .price set anywhere?
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def has_ldjson_product_info(content):
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