# -*- coding: utf-8 -*-

# This program is free software: you can redistribute it and/or modify

# it under the terms of the GNU General Public License as published by

# the Free Software Foundation, either version 3 of the License, or

# (at your option) any later version.

#

# This program is distributed in the hope that it will be useful,

# but WITHOUT ANY WARRANTY; without even the implied warranty of

# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

# GNU General Public License for more details.

#

# You should have received a copy of the GNU General Public License

# along with this program.  If not, see <http://www.gnu.org/licenses/>.

"""

kallithea.lib.indexers

~~~~~~~~~~~~~~~~~~~~~~

Whoosh indexing module for Kallithea

This file was forked by the Kallithea project in July 2014.

Original author and date, and relevant copyright and licensing information is below:

:created_on: Aug 17, 2010

:author: marcink

:copyright: (c) 2013 RhodeCode GmbH, and others.

:license: GPLv3, see LICENSE.md for more details.

"""

import logging

import os

import sys

from os.path import dirname

from whoosh.analysis import IDTokenizer, LowercaseFilter, RegexTokenizer

from whoosh.fields import BOOLEAN, DATETIME, ID, NUMERIC, STORED, TEXT, FieldType, Schema

from whoosh.formats import Characters

from whoosh.highlight import ContextFragmenter, HtmlFormatter

from whoosh.highlight import highlight as whoosh_highlight

from kallithea.lib.utils2 import LazyProperty

# Add location of top level folder to sys.path

sys.path.append(dirname(dirname(dirname(os.path.realpath(__file__)))))

log = logging.getLogger(__name__)

# CUSTOM ANALYZER wordsplit + lowercase filter

ANALYZER = RegexTokenizer(expression=r"\w+") | LowercaseFilter()

# CUSTOM ANALYZER wordsplit + lowercase filter, for emailaddr-like text

#

# This is useful to:

# - avoid removing "stop words" from text

# - search case-insensitively

#

EMAILADDRANALYZER = RegexTokenizer() | LowercaseFilter()

# CUSTOM ANALYZER raw-string + lowercase filter

#

# This is useful to:

# - avoid tokenization

# - avoid removing "stop words" from text

# - search case-insensitively

#

ICASEIDANALYZER = IDTokenizer() | LowercaseFilter()

# CUSTOM ANALYZER raw-string

#

# This is useful to:

# - avoid tokenization

# - avoid removing "stop words" from text

#

IDANALYZER = IDTokenizer()

# CUSTOM ANALYZER wordsplit + lowercase filter, for pathname-like text

#

# This is useful to:

# - avoid removing "stop words" from text

# - search case-insensitively

#

PATHANALYZER = RegexTokenizer() | LowercaseFilter()

# INDEX SCHEMA DEFINITION

SCHEMA = Schema(

    fileid=ID(unique=True),

    owner=TEXT(analyzer=EMAILADDRANALYZER),

    # this field preserves case of repository name for exact matching

    repository_rawname=TEXT(analyzer=IDANALYZER),

    repository=TEXT(stored=True, analyzer=ICASEIDANALYZER),

    path=TEXT(stored=True, analyzer=PATHANALYZER),

    content=FieldType(format=Characters(), analyzer=ANALYZER,

                      scorable=True, stored=True),

    modtime=STORED(),

    extension=TEXT(stored=True, analyzer=PATHANALYZER)

)

IDX_NAME = 'HG_INDEX'

FORMATTER = HtmlFormatter('span', between='\n<span class="break">...</span>\n')

FRAGMENTER = ContextFragmenter(200)

CHGSETS_SCHEMA = Schema(

    raw_id=ID(unique=True, stored=True),

    date=NUMERIC(stored=True),

    last=BOOLEAN(),

    owner=TEXT(analyzer=EMAILADDRANALYZER),

    # this field preserves case of repository name for exact matching

    # and unique-ness in index table

    repository_rawname=ID(unique=True),

    repository=ID(stored=True, analyzer=ICASEIDANALYZER),

    author=TEXT(stored=True, analyzer=EMAILADDRANALYZER),

    message=FieldType(format=Characters(), analyzer=ANALYZER,

                      scorable=True, stored=True),

    parents=TEXT(),

    added=TEXT(analyzer=PATHANALYZER),

    removed=TEXT(analyzer=PATHANALYZER),

    changed=TEXT(analyzer=PATHANALYZER),

)

CHGSET_IDX_NAME = 'CHGSET_INDEX'

# used only to generate queries in journal

JOURNAL_SCHEMA = Schema(

    username=ID(),

    date=DATETIME(),

    action=TEXT(),

    repository=ID(),

    ip=TEXT(),

)

class WhooshResultWrapper(object):

    def __init__(self, search_type, searcher, matcher, highlight_items,

                 repo_location):

        self.search_type = search_type

        self.searcher = searcher

        self.matcher = matcher

        self.highlight_items = highlight_items

        self.fragment_size = 200

        self.repo_location = repo_location

    @LazyProperty

    def doc_ids(self):

        docs_id = []

        while self.matcher.is_active():

            docnum = self.matcher.id()

            chunks = [offsets for offsets in self.get_chunks()]

            docs_id.append([docnum, chunks])

            self.matcher.next()

        return docs_id

    def __str__(self):

        return '<%s at %s>' % (self.__class__.__name__, len(self.doc_ids))

    def __repr__(self):

        return self.__str__()

    def __len__(self):

        return len(self.doc_ids)

    def __iter__(self):

        """

        Allows Iteration over results,and lazy generate content

        *Requires* implementation of ``__getitem__`` method.

        """

        for docid in self.doc_ids:

            yield self.get_full_content(docid)

    def __getitem__(self, key):

        """

        Slicing of resultWrapper

        """

        i, j = key.start, key.stop

        slices = []

        for docid in self.doc_ids[i:j]:

            slices.append(self.get_full_content(docid))

        return slices

    def get_full_content(self, docid):

        res = self.searcher.stored_fields(docid[0])

        log.debug('result: %s', res)

        if self.search_type == 'content':

            full_repo_path = os.path.join(self.repo_location, res['repository'])

            f_path = res['path'].split(full_repo_path)[-1]

            f_path = f_path.lstrip(os.sep)

            content_short = self.get_short_content(res, docid[1])

            res.update({'content_short': content_short,

                        'content_short_hl': self.highlight(content_short),

                        'f_path': f_path

            })

        elif self.search_type == 'path':

            full_repo_path = os.path.join(self.repo_location, res['repository'])

            f_path = res['path'].split(full_repo_path)[-1]

            f_path = f_path.lstrip(os.sep)

            res.update({'f_path': f_path})

        elif self.search_type == 'message':

            res.update({'message_hl': self.highlight(res['message'])})

        log.debug('result: %s', res)

        return res

    def get_short_content(self, res, chunks):

    def get_chunks(self):

        """

        Smart function that implements chunking the content

        but not overlap chunks so it doesn't highlight the same

        close occurrences twice.

        """

        memory = [(0, 0)]

        if self.matcher.supports('positions'):

            for span in self.matcher.spans():

                start = span.startchar or 0

                end = span.endchar or 0

                start_offseted = max(0, start - self.fragment_size)

                end_offseted = end + self.fragment_size

                if start_offseted < memory[-1][1]:

                    start_offseted = memory[-1][1]

                memory.append((start_offseted, end_offseted,))

                yield (start_offseted, end_offseted,)

    def highlight(self, content, top=5):

        if self.search_type not in ['content', 'message']:

            return ''

        hl = whoosh_highlight(

            text=content,

            terms=self.highlight_items,

            analyzer=ANALYZER,

            fragmenter=FRAGMENTER,

            formatter=FORMATTER,

            top=top

        )

        return hl