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# -*- coding: utf-8 -*- |
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import json |
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from elasticsearch_dsl.aggs import A |
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from elasticsearch_dsl.function import SF |
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from elasticsearch_dsl.query import Q |
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from tg.decorators import expose |
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from pyjobsweb import model |
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from pyjobsweb.lib.base import BaseController |
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class GeocompleteController(BaseController): |
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@staticmethod |
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def geocomplete_town_input_parser(address_input): |
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query_tokens = address_input.split(' ') |
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postal_code = None |
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address = None |
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for token in query_tokens: |
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try: |
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int(token) |
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if len(token) <= 5: |
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postal_code = postal_code if postal_code else token |
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else: |
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return dict(results=[]) |
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except ValueError: |
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address = u'%s %s' % (address, token) if address else token |
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return address, postal_code |
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@expose('json') |
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def index(self, address=None, *args, **kwargs): |
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if not address: |
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return dict(results=[]) |
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search = model.Geocomplete().search() |
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address_query = Q() |
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postal_code_query = Q() |
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(address, postal_code) = self.geocomplete_town_input_parser(address) |
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if address: |
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address_query = Q('match', name=address) |
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if postal_code: |
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postal_code_query = Q('match', postal_code=postal_code) |
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weight_scoring_function = SF( |
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'field_value_factor', |
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factor=1, |
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modifier='none', |
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field='weight' |
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) |
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search.query = Q( |
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'function_score', |
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query=address_query & postal_code_query, |
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functions=[weight_scoring_function] |
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) |
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dedup_docs = A( |
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'top_hits', |
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size=1, |
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sort={'postal_code.raw': 'asc'} |
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) |
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dedup = A( |
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'terms', |
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field='name.raw', |
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size=5, |
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order={'score_sort': 'desc'} |
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) |
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score_sort = A( |
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'max', |
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script=dict(lang='expression', script='_score') |
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) |
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dedup.bucket('dedup_docs', dedup_docs) |
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dedup.bucket('score_sort', score_sort) |
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search.aggs.bucket('dedup', dedup) |
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# Do not compute the results, we are only interested by the aggregations |
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raw_res = search[0:0].execute() |
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res = list() |
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for bucket in raw_res.aggregations.dedup.buckets: |
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for source_doc in bucket['dedup_docs']['hits']['hits']: |
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fields = source_doc['_source'] |
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name = fields['name'] |
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complement = fields['complement'] |
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postal_code = fields['postal_code'] |
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country = 'France' |
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geoloc = fields['geolocation'] |
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coordinates = dict(lat=geoloc['lat'], lon=geoloc['lon']) |
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res.append(dict( |
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name=name, |
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complement=complement, |
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postal_code=postal_code, |
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country=country, |
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coordinates=coordinates |
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)) |
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return dict(results=res) |
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pyjobs /
web
