"""Diagnostic functions, mainly for use when doing tech support.""" # Use of this source code is governed by the MIT license. __license__ = "MIT" import cProfile from io import BytesIO from html.parser import HTMLParser import bs4 from . import BeautifulSoup, __version__ from .builder import builder_registry import os import pstats import random import tempfile import time import traceback import sys import cProfile def diagnose(data): """Diagnostic suite for isolating common problems. :param data: A string containing markup that needs to be explained. :return: None; diagnostics are printed to standard output. """ print(("Diagnostic running on Beautiful Soup %s" % __version__)) print(("Python version %s" % sys.version)) basic_parsers = ["html.parser", "html5lib", "lxml"] for name in basic_parsers: for builder in builder_registry.builders: if name in builder.features: break else: basic_parsers.remove(name) print(( "I noticed that %s is not installed. Installing it may help." % name)) if 'lxml' in basic_parsers: basic_parsers.append("lxml-xml") try: from lxml import etree print(("Found lxml version %s" % ".".join(map(str,etree.LXML_VERSION)))) except ImportError as e: print( "lxml is not installed or couldn't be imported.") if 'html5lib' in basic_parsers: try: import html5lib print(("Found html5lib version %s" % html5lib.__version__)) except ImportError as e: print( "html5lib is not installed or couldn't be imported.") if hasattr(data, 'read'): data = data.read() elif data.startswith("http:") or data.startswith("https:"): print(('"%s" looks like a URL. Beautiful Soup is not an HTTP client.' % data)) print("You need to use some other library to get the document behind the URL, and feed that document to Beautiful Soup.") return else: try: if os.path.exists(data): print(('"%s" looks like a filename. Reading data from the file.' % data)) with open(data) as fp: data = fp.read() except ValueError: # This can happen on some platforms when the 'filename' is # too long. Assume it's data and not a filename. pass print("") for parser in basic_parsers: print(("Trying to parse your markup with %s" % parser)) success = False try: soup = BeautifulSoup(data, features=parser) success = True except Exception as e: print(("%s could not parse the markup." % parser)) traceback.print_exc() if success: print(("Here's what %s did with the markup:" % parser)) print((soup.prettify())) print(("-" * 80)) def lxml_trace(data, html=True, **kwargs): """Print out the lxml events that occur during parsing. This lets you see how lxml parses a document when no Beautiful Soup code is running. You can use this to determine whether an lxml-specific problem is in Beautiful Soup's lxml tree builders or in lxml itself. :param data: Some markup. :param html: If True, markup will be parsed with lxml's HTML parser. if False, lxml's XML parser will be used. """ from lxml import etree recover = kwargs.pop('recover', True) if isinstance(data, str): data = data.encode("utf8") reader = BytesIO(data) for event, element in etree.iterparse( reader, html=html, recover=recover, **kwargs ): print(("%s, %4s, %s" % (event, element.tag, element.text))) class AnnouncingParser(HTMLParser): """Subclass of HTMLParser that announces parse events, without doing anything else. You can use this to get a picture of how html.parser sees a given document. The easiest way to do this is to call `htmlparser_trace`. """ def _p(self, s): print(s) def handle_starttag(self, name, attrs): self._p("%s START" % name) def handle_endtag(self, name): self._p("%s END" % name) def handle_data(self, data): self._p("%s DATA" % data) def handle_charref(self, name): self._p("%s CHARREF" % name) def handle_entityref(self, name): self._p("%s ENTITYREF" % name) def handle_comment(self, data): self._p("%s COMMENT" % data) def handle_decl(self, data): self._p("%s DECL" % data) def unknown_decl(self, data): self._p("%s UNKNOWN-DECL" % data) def handle_pi(self, data): self._p("%s PI" % data) def htmlparser_trace(data): """Print out the HTMLParser events that occur during parsing. This lets you see how HTMLParser parses a document when no Beautiful Soup code is running. :param data: Some markup. """ parser = AnnouncingParser() parser.feed(data) _vowels = "aeiou" _consonants = "bcdfghjklmnpqrstvwxyz" def rword(length=5): "Generate a random word-like string." s = '' for i in range(length): if i % 2 == 0: t = _consonants else: t = _vowels s += random.choice(t) return s def rsentence(length=4): "Generate a random sentence-like string." return " ".join(rword(random.randint(4,9)) for i in range(length)) def rdoc(num_elements=1000): """Randomly generate an invalid HTML document.""" tag_names = ['p', 'div', 'span', 'i', 'b', 'script', 'table'] elements = [] for i in range(num_elements): choice = random.randint(0,3) if choice == 0: # New tag. tag_name = random.choice(tag_names) elements.append("<%s>" % tag_name) elif choice == 1: elements.append(rsentence(random.randint(1,4))) elif choice == 2: # Close a tag. tag_name = random.choice(tag_names) elements.append("" % tag_name) return "" + "\n".join(elements) + "" def benchmark_parsers(num_elements=100000): """Very basic head-to-head performance benchmark.""" print(("Comparative parser benchmark on Beautiful Soup %s" % __version__)) data = rdoc(num_elements) print(("Generated a large invalid HTML document (%d bytes)." % len(data))) for parser in ["lxml", ["lxml", "html"], "html5lib", "html.parser"]: success = False try: a = time.time() soup = BeautifulSoup(data, parser) b = time.time() success = True except Exception as e: print(("%s could not parse the markup." % parser)) traceback.print_exc() if success: print(("BS4+%s parsed the markup in %.2fs." % (parser, b-a))) from lxml import etree a = time.time() etree.HTML(data) b = time.time() print(("Raw lxml parsed the markup in %.2fs." % (b-a))) import html5lib parser = html5lib.HTMLParser() a = time.time() parser.parse(data) b = time.time() print(("Raw html5lib parsed the markup in %.2fs." % (b-a))) def profile(num_elements=100000, parser="lxml"): """Use Python's profiler on a randomly generated document.""" filehandle = tempfile.NamedTemporaryFile() filename = filehandle.name data = rdoc(num_elements) vars = dict(bs4=bs4, data=data, parser=parser) cProfile.runctx('bs4.BeautifulSoup(data, parser)' , vars, vars, filename) stats = pstats.Stats(filename) # stats.strip_dirs() stats.sort_stats("cumulative") stats.print_stats('_html5lib|bs4', 50) # If this file is run as a script, standard input is diagnosed. if __name__ == '__main__': diagnose(sys.stdin.read())