Commit 8b4509ae authored by Ivan Tyagov's avatar Ivan Tyagov

Refactor code and extend and clean up API.

git-svn-id: https://svn.erp5.org/repos/public/erp5/trunk@25252 20353a03-c40f-0410-a6d1-a30d3c3de9de
parent c9575842
......@@ -61,16 +61,16 @@
containing searched words as well highlighting the searched \n
words in the text itself.\n
"""\n
# convert object to text (if possible)\n
document_text = \'\'\n
if getattr(context, \'asText\', None) is not None and \\\n
getattr(context, \'hasBaseData\', None) is not None:\n
if context.hasBaseData():\n
# document is successfully converted\n
document_text = context.asText()\n
else:\n
# document not converted (due to a conversion error), return message to user\n
return context.Base_translateString(\'Document is not converted or missing content.\')\n
max_text_length = 500\n
is_gadget_mode = context.REQUEST.get(\'is_gadget_mode\', 0)\n
\n
def getRandomDocumentTextExcerpt():\n
# try to get somewhat arbitrary choice of searchable attrs\n
start = min(len(document_text) - 300, 200)\n
if is_gadget_mode:\n
# in gadget mode less space is available thus show less text\n
max_text_length = 100\n
return \'%s ...\' %document_text[start:start + max_text_length]\n
\n
# get search words from listbox selection\n
argument_names = (\'advanced_search_text\', \n
......@@ -80,6 +80,20 @@ argument_names = (\'advanced_search_text\', \n
\'searchabletext_any\',\n
\'searchabletext_all\', \n
\'searchabletext_phrase\',)\n
\n
if document_text is None:\n
# convert object to text (if possible)\n
document_text = \'\'\n
if getattr(context, \'asText\', None) is not None and \\\n
getattr(context, \'hasBaseData\', None) is not None:\n
if context.hasBaseData():\n
# document is successfully converted\n
document_text = context.asText()\n
else:\n
# document not converted (due to a conversion error), return message to user\n
return context.Base_translateString(\'Document is not converted or missing content.\')\n
\n
\n
if selection is not None:\n
params = selection.getParams()\n
else:\n
......@@ -89,10 +103,9 @@ params = [params.get(name, \'\') for name in argument_names]\n
params = [(hasattr(par, \'sort\') and \'\'.join(par) or par) for par in params]\n
search_string = \' \'.join(params)\n
\n
if not search_string:\n
# if the searched text is empty \n
# (e.g. because the listbox uses its own method)\n
return document_text[:300]\n
if search_string.strip() == \'\':\n
# listbox uses its own method, not searching\n
return getRandomDocumentTextExcerpt()\n
\n
search_argument_list = context.Base_parseSearchString(search_string)\n
search_words = search_argument_list.get(\'searchabletext\')\n
......@@ -100,31 +113,22 @@ search_words = search_argument_list.get(\'searchabletext\')\n
if search_words in (\'\', None,):\n
# the searched words are empty (e.g. because we used only parameters \n
# without pure searchable text)\n
result = \'\'\n
if document_text not in (\'\', None):\n
if not isinstance(document_text, str): \n
document_text = str(document_text)\n
# try to get somewhat arbitrary choice of searchable attrs\n
max_text_length = 500\n
start = min(len(document_text) - 300, 200)\n
if context.REQUEST.get(\'is_gadget_mode\', 0):\n
# in gadget mode less space is available thus show less text\n
max_text_length = 150\n
result = \'%s ...\' %document_text[start:start + max_text_length]\n
return result\n
return getRandomDocumentTextExcerpt()\n
\n
# get fragments of text containing searched words\n
found_text_fragments = context.Base_getExcerptText(context,\n
document_text,\n
search_words,\n
tags = (\'<div style="font-weight:bold;display:inline;">\', \'</div>\'),\n
trail = 5,\n
maxlines = 5)\n
found_text_fragments = context.Base_getExcerptText(\n
context, \\\n
document_text, \\\n
search_words, \\\n
tags = (\'<div style="font-weight:bold;display:inline;">\', \'</div>\'), \\\n
trail = 5, \\\n
maxlines = 5)\n
result = \' \'.join(map(str, found_text_fragments))\n
\n
# Document may contains charactors which utf8 codec cannot decode.\n
unicode_result = result.decode(\'utf-8\', \'ignore\')\n
result = unicode_result.encode(\'utf-8\')\n
\n
return result\n
......@@ -138,7 +142,7 @@ return result\n
</item>
<item>
<key> <string>_params</string> </key>
<value> <string>brain, selection=None, selection_name=None</string> </value>
<value> <string>document_text=None, selection=None</string> </value>
</item>
<item>
<key> <string>errors</string> </key>
......@@ -158,21 +162,22 @@ return result\n
<dictionary>
<item>
<key> <string>co_argcount</string> </key>
<value> <int>3</int> </value>
<value> <int>2</int> </value>
</item>
<item>
<key> <string>co_varnames</string> </key>
<value>
<tuple>
<string>brain</string>
<string>selection</string>
<string>selection_name</string>
<string>document_text</string>
<string>getattr</string>
<string>context</string>
<string>None</string>
<string>selection</string>
<string>max_text_length</string>
<string>_getattr_</string>
<string>context</string>
<string>is_gadget_mode</string>
<string>getRandomDocumentTextExcerpt</string>
<string>argument_names</string>
<string>None</string>
<string>getattr</string>
<string>params</string>
<string>append</string>
<string>$append0</string>
......@@ -181,18 +186,12 @@ return result\n
<string>par</string>
<string>hasattr</string>
<string>search_string</string>
<string>_getitem_</string>
<string>search_argument_list</string>
<string>search_words</string>
<string>result</string>
<string>isinstance</string>
<string>str</string>
<string>max_text_length</string>
<string>min</string>
<string>len</string>
<string>start</string>
<string>found_text_fragments</string>
<string>map</string>
<string>str</string>
<string>result</string>
<string>unicode_result</string>
</tuple>
</value>
......
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