mirror of
https://github.com/Alfresco/SearchServices.git
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130 lines
3.8 KiB
Python
130 lines
3.8 KiB
Python
# Copyright (C) 2020 Alfresco Software Limited.
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# This file is part of Alfresco
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#
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# Alfresco is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Lesser General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# Alfresco is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Lesser General Public License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public License
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# along with Alfresco. If not, see <http://www.gnu.org/licenses/>.
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import itertools
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tokenized = "tokenized"
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string = "string"
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sortable = "sortable"
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suggestable = "suggestable"
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cross_locale = "cross-locale"
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output_file = "generated_copy_fields.xml"
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def find_subsets(s, n):
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return [set(i) for x in range(1, n+1) for i in itertools.combinations(s, x) ]
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def get_copy_field_xml(source, destination):
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return '<copyField source="' + source + '" dest="' + destination+ '" />'
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def get_dynamic_field_xml(field, field_type):
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postfix = ""
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if field_type in ("text", "content"):
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postfix = '" type="localePrefixedField" />'
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else:
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postfix = '" type="localePrefixedField" multiValued="true" />'
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return '<dynamicField name="'+ field + postfix
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def get_field_prefix(field_type):
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if field_type == "text":
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return "text@s_"
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elif field_type == "mltext":
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return "mltext@m_"
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elif field_type == "content":
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return "content@s_"
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else:
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return "text@m_"
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def generate_fields(field_type, tokenized, string, cross_locale, sortable, suggestable):
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prefix = get_field_prefix(field_type)
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field = prefix + "stored_" + ("t" if tokenized else "_") + ("s" if string else "_") + ("c" if cross_locale else "_") + ("s" if sortable else "_" ) + ("s" if suggestable else "_") + "@*"
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generated_fields = []
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generated_fields.append(get_dynamic_field_xml(field, field_type))
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if tokenized:
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generated_fields.append(get_copy_field_xml(field, create_tokenized(prefix)))
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if cross_locale:
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generated_fields.append(get_copy_field_xml(field, create_tokenized_cross_locale(prefix)))
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if string:
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generated_fields.append(get_copy_field_xml(field, create_non_tokenized(prefix)))
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if sortable:
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generated_fields.append(get_copy_field_xml(field, create_sortable(prefix)))
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if cross_locale:
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generated_fields.append(get_copy_field_xml(field, create_non_tokenized_cross_locale(prefix)))
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if suggestable:
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generated_fields.append(get_copy_field_xml(field, "suggest"))
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return generated_fields
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def create_tokenized(prefix):
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return prefix + "_lt" + "@*"
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def create_tokenized_cross_locale(prefix):
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return prefix + "__t" + "@*"
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def create_non_tokenized(prefix):
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return prefix + "_l_" + "@*"
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def create_non_tokenized_cross_locale(prefix):
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return prefix + "___" + "@*"
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def create_sortable(prefix):
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return prefix + "_sort" + "@*"
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def generate_text(file):
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for t in ("text", "mltext", "content", "multivalue-text"):
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s = {tokenized, string, cross_locale, sortable, suggestable} if t == "text" else {tokenized, string, cross_locale, suggestable}
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for s in find_subsets(s, 5):
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generated = generate_fields(t, tokenized in s, string in s, cross_locale in s, sortable in s, suggestable in s)
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file.writelines(["%s\n" % item for item in generated])
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file.write("\n")
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file.write("\n")
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def main():
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file = open(output_file, "w")
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file.write('<fields>\n')
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generate_text(file)
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file.write('</fields>')
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file.close()
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main()
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