| """Diagnostic functions, mainly for use when doing tech support.""" |
| |
| __license__ = "MIT" |
| |
| import cProfile |
| from io import StringIO |
| from html.parser import HTMLParser |
| import bs4 |
| from bs4 import BeautifulSoup, __version__ |
| from bs4.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.""" |
| 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 os.path.exists(data): |
| print('"%s" looks like a filename. Reading data from the file.' % data) |
| data = open(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 |
| print() |
| |
| for parser in basic_parsers: |
| print("Trying to parse your markup with %s" % parser) |
| success = False |
| try: |
| soup = BeautifulSoup(data, 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. |
| """ |
| from lxml import etree |
| for event, element in etree.iterparse(StringIO(data), html=html, **kwargs): |
| print(("%s, %4s, %s" % (event, element.tag, element.text))) |
| |
| class AnnouncingParser(HTMLParser): |
| """Announces HTMLParser parse events, without doing anything else.""" |
| |
| 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. |
| """ |
| 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("</%s>" % tag_name) |
| return "<html>" + "\n".join(elements) + "</html>" |
| |
| 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"): |
| |
| 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 __name__ == '__main__': |
| diagnose(sys.stdin.read()) |