split_emails function added, test added
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@@ -172,6 +172,8 @@ MAX_HTML_LEN = 2794202
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QUOT_PATTERN = re.compile('^>+ ?')
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NO_QUOT_LINE = re.compile('^[^>].*[\S].*')
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# Regular expression to identify if a line is a header.
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RE_HEADER = re.compile(": ")
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def extract_from(msg_body, content_type='text/plain'):
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try:
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@@ -450,6 +452,47 @@ def _extract_from_html(msg_body):
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return html.tostring(html_tree_copy)
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def split_emails(msg):
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"""
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Given a message (which may consist of an email conversation thread with multiple emails), mark the lines to identify
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split lines, content lines and empty lines.
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Correct the split line markers inside header blocks. Header blocks are identified by the regular expression
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RE_HEADER.
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Return the corrected markers
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"""
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print "Conal's split_email method!"
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delimiter = get_delimiter(msg)
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msg_body = preprocess(msg, delimiter)
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# don't process too long messages
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lines = msg_body.splitlines()[:MAX_LINES_COUNT]
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markers = mark_message_lines(lines)
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print "Conal's split_email method obtained initial markers: " + markers
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# we don't want splitlines in header blocks
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markers = correct_splitlines_in_headers(markers, lines)
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print "Conal's split_email method returning corrected markers: " + markers
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return markers
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def correct_splitlines_in_headers(markers, lines):
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"""Corrects markers by removing splitlines deemed to be inside header blocks"""
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updated_markers = ""
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i = -1
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for m in markers:
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if m == 's':
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if i > -1:
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if bool(re.search(RE_HEADER, lines[i])):
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m = 't'
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updated_markers += m
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i += 1
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return updated_markers
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def _readable_text_empty(html_tree):
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return not bool(html_tree_to_text(html_tree).strip())
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@@ -696,3 +696,23 @@ def test_standard_replies():
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"'%(reply)s' != %(stripped)s for %(fn)s" % \
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{'reply': reply_text, 'stripped': stripped_text,
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'fn': filename}
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def test_split_email():
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msg = """From: Mr. X
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Date: 24 February 2016
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To: Mr. Y
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Subject: Hi
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Attachments: none
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Goodbye.
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From: Mr. Y
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To: Mr. X
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Date: 24 February 2016
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Subject: Hi
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Attachments: none
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Hello.
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"""
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expected_markers = "stttttsttttet"
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markers = quotations.split_emails(msg)
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eq_(markers, expected_markers)
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