c86c8237
 tangwang
支持聚合。过滤项补充了逻辑，但是有问题
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#!/usr/bin/env python3
"""
Test script for aggregation functionality
"""
import requests
import json
API_BASE_URL = 'http://120.76.41.98:6002'
def test_search_with_aggregations():
"""Test search with aggregations"""
# Test data
test_query = {
"query": "玩具",
"size": 5,
"aggregations": {
"category_stats": {
"terms": {
"field": "categoryName_keyword",
"size": 10
}
},
"brand_stats": {
"terms": {
"field": "brandName_keyword",
"size": 10
}
},
"price_ranges": {
"range": {
"field": "price",
"ranges": [
{"key": "0-50", "to": 50},
{"key": "50-100", "from": 50, "to": 100},
{"key": "100-200", "from": 100, "to": 200},
{"key": "200+", "from": 200}
]
}
}
}
}
print("Testing search with aggregations...")
print(f"Query: {json.dumps(test_query, indent=2, ensure_ascii=False)}")
try:
response = requests.post(f"{API_BASE_URL}/search/",
json=test_query,
headers={'Content-Type': 'application/json'})
print(f"Status Code: {response.status_code}")
if response.ok:
data = response.json()
print(f"Found {data['total']} results in {data['took_ms']}ms")
print(f"Max Score: {data['max_score']}")
# Print aggregations
if data.get('aggregations'):
print("\nAggregations:")
for agg_name, agg_result in data['aggregations'].items():
print(f"\n{agg_name}:")
if 'buckets' in agg_result:
for bucket in agg_result['buckets'][:5]: # Show first 5 buckets
print(f" - {bucket['key']}: {bucket['doc_count']}")
# Print first few results
print(f"\nFirst 3 results:")
for i, hit in enumerate(data['hits'][:3]):
source = hit['_source']
print(f"\n{i+1}. {source.get('name', 'N/A')}")
print(f" Category: {source.get('categoryName', 'N/A')}")
print(f" Brand: {source.get('brandName', 'N/A')}")
print(f" Price: {source.get('price', 'N/A')}")
print(f" Score: {hit['_score']:.4f}")
else:
print(f"Error: {response.status_code}")
print(f"Response: {response.text}")
except Exception as e:
print(f"Request failed: {e}")
def test_search_with_filters():
"""Test search with filters"""
test_filters = {
"query": "玩具",
"size": 5,
"filters": {
"categoryName_keyword": ["玩具"],
"price_ranges": ["0-50", "50-100"]
}
}
print("\n\nTesting search with filters...")
print(f"Query: {json.dumps(test_filters, indent=2, ensure_ascii=False)}")
try:
response = requests.post(f"{API_BASE_URL}/search/",
json=test_filters,
headers={'Content-Type': 'application/json'})
print(f"Status Code: {response.status_code}")
if response.ok:
data = response.json()
print(f"Found {data['total']} results in {data['took_ms']}ms")
print(f"\nFirst 3 results:")
for i, hit in enumerate(data['hits'][:3]):
source = hit['_source']
print(f"\n{i+1}. {source.get('name', 'N/A')}")
print(f" Category: {source.get('categoryName', 'N/A')}")
print(f" Brand: {source.get('brandName', 'N/A')}")
print(f" Price: {source.get('price', 'N/A')}")
print(f" Score: {hit['_score']:.4f}")
else:
print(f"Error: {response.status_code}")
print(f"Response: {response.text}")
except Exception as e:
print(f"Request failed: {e}")
def test_search_with_sorting():
"""Test search with sorting"""
test_sort = {
"query": "玩具",
"size": 5,
"sort_by": "price",
"sort_order": "asc"
}
print("\n\nTesting search with sorting (price ascending)...")
print(f"Query: {json.dumps(test_sort, indent=2, ensure_ascii=False)}")
try:
response = requests.post(f"{API_BASE_URL}/search/",
json=test_sort,
headers={'Content-Type': 'application/json'})
print(f"Status Code: {response.status_code}")
if response.ok:
data = response.json()
print(f"Found {data['total']} results in {data['took_ms']}ms")
print(f"\nFirst 3 results (sorted by price):")
for i, hit in enumerate(data['hits'][:3]):
source = hit['_source']
print(f"\n{i+1}. {source.get('name', 'N/A')}")
print(f" Price: {source.get('price', 'N/A')}")
print(f" Score: {hit['_score']:.4f}")
else:
print(f"Error: {response.status_code}")
print(f"Response: {response.text}")
except Exception as e:
print(f"Request failed: {e}")
if __name__ == "__main__":
test_search_with_aggregations()
test_search_with_filters()
test_search_with_sorting()
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