-
Notifications
You must be signed in to change notification settings - Fork 0
/
app.py
268 lines (224 loc) · 7.24 KB
/
app.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
from elasticsearch import Elasticsearch
from flask import Flask, render_template, request, jsonify, redirect
from utils import build_aggs, build_filters, get_filters_dict
app = Flask(__name__)
@app.route('/')
def index():
"""
Index redirect on /search immediately.
"""
return redirect('/search')
def build_query(q, filters):
"""
Build query. If no q passed - return all.
Multimatch with fuzzy + boost TOP.
Author name more weight than description.
Append filters if they are there.
:param q: query text
:param filters: dict of filters to apply. Example:
{
'category' : ['Mobil', 'Daco']
'subcategory': ['a', 'b']
}
:return: query dict
"""
built_filters = build_filters(filters)
if q:
query = {
'query': {
'bool': {
'must': [
{
'multi_match': {
'query': q,
'type': 'most_fields',
'fields': ['title^2', 'description'],
"fuzziness": "AUTO",
"prefix_length": 3
},
},
],
'should': [
{
'term': {'top': {'value': True, 'boost': 2}}
}
]
},
},
'highlight': {'fields': {'*': {}}}
}
if built_filters:
query['query']['bool']['filter'] = built_filters
else:
query = {
'query': {
'bool': {
'must': [
{
'match_all': {}
}
]
},
},
'sort': [
{
'release_date': {'order': 'desc'},
'price': {'order': 'desc'}
}
]
}
if built_filters:
query['query']['bool']['filter'] = built_filters
# query['filter'] = build_filters(filters)
return query
def perform_search():
"""
Compose query with filters.
Add aggregations - to display it in frontend
Fire query and return offers.
:return: tuple (q, offers, filter)
"""
q = request.args.get('q') or ''
filters = get_filters_dict(request)
es = Elasticsearch()
query = build_query(q, filters)
aggs = build_aggs(builder_schema=[{'field': 'category', 'exclude': filters['category']},
{'field': 'subcategory', 'exclude': filters['subcategory']},
{'field': 'price_type', 'exclude': filters['price_type']},
{'field': 'city', 'exclude': filters['city']},
])
query.update(aggs)
offers = es.search(index='bazos_offer', body=query)
return q, offers, filters
@app.route('/search')
def search():
q, offers, filters = perform_search()
return render_template('index.html', q=q, offers=offers, filters=filters)
@app.route('/search-ajax')
def ajax_search():
"""
Used as ajax endpoint for filtering price and dates.
:return:
"""
q = request.args.get('q')
filters = get_filters_dict(request)
# prices
price_from = request.args.get('price_from')
price_to = request.args.get('price_to')
# dates
date_from = request.args.get('date_from')
date_to = request.args.get('date_to')
query = build_query(q, filters)
es = Elasticsearch()
# add price filter
price_filter = {
'range': {
'price': {
'gte': price_from,
'lte': price_to
}
}
}
try:
query['query']['bool']['filter'].append(price_filter)
except KeyError:
query['query']['bool']['filter'] = [price_filter]
date_filter = None
# if one of the dates. create filter dict
if date_from or date_to:
# add date_filter
date_filter = {
'range': {
'release_date': {
}
}
}
# append filters
if date_from:
date_filter['range']['release_date']['gte'] = date_from
if date_to:
date_filter['range']['release_date']['lte'] = date_to
if date_filter:
try:
query['query']['bool']['filter'].append(date_filter)
except KeyError:
query['query']['bool']['filter'] = [date_filter]
offers = es.search(index='bazos_offer', body=query)
return render_template('results.html', offers=offers)
@app.route('/autocomplete')
def autocomplete():
"""
Endpoint for autocomplete.
It returns first 10 best matched documents from field `all_autocomplete` -> see mappings in
`import_data.py` to see whats in there.
"""
es = Elasticsearch()
q = request.args.get('q') or ''
filters = get_filters_dict(request)
query = {
'size': 10,
"query": {
"bool": {
"must": [{
"multi_match": {
'query': q,
'operator': 'and',
'fields': ['all_autocomplete'],
}
},
]
}
},
}
if filters:
query['query']['bool']['filter'] = build_filters(filters)
results = es.search(index='bazos_offer', body=query)
str_list_results = format_results_for_autocomplete(results)
return jsonify(matching_results=str_list_results)
def format_results_for_autocomplete(results):
"""
Formats results from autocomplete match to string representation.
:param results: results from autocomplete query
:return: list of dicts
[
{
'value': 'I am a title'
'label': 'I am a title | 50 € | 0911238987'
}
]
"""
formated = []
for result in results['hits']['hits']:
tmp = ''
# tmp += result['_source']['category'] + ' | ' + result['_source']['subcategory']
tmp += result['_source']['title']
tmp += ' | ' + result['_source']['price'] + ' €'
# tmp += ' | ' + result['_source']['release_date']
tmp += ' | ' + result['_source']['phone_number']
item = {
'value': result['_source']['title'],
'label': tmp
}
formated.append(item)
return formated
@app.context_processor
def highlight():
"""
Filter used in jinja templates to highlight fields
"""
def _highlight(hit, field):
return do_highlight(hit, field)
return dict(highlight=_highlight)
def do_highlight(hit, field):
if 'highlight' not in hit:
return hit['_source'][field]
return hit['highlight'][field][0] if field in hit['highlight'] else hit['_source'][field]
@app.context_processor
def get_buckets():
"""
Filter used in jinja templates to get aggregations buckets.
"""
def _get_buckets(offers, field):
name = f'by_{field}'
return offers['aggregations'][name]['buckets']
return dict(get_buckets=_get_buckets)