a10a89a3
 tangwang
构造测试数据用于测试分类 和 三种...
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#!/usr/bin/env python3
"""
检查ES索引中的实际数据，看分面字段是否有值
"""
import sys
import os
import argparse
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent.parent))
from utils.es_client import ESClient
def check_es_facet_fields(es_client, tenant_id: str, size: int = 5):
"""检查ES中的分面相关字段"""
print("\n" + "="*60)
print("检查ES索引中的分面字段数据")
print("="*60)
query = {
"query": {
"term": {
"tenant_id": tenant_id
}
},
"size": size,
"_source": [
"spu_id",
"title_zh",
"category1_name",
"category2_name",
"category3_name",
"category_name",
"category_path_zh",
"specifications",
"option1_name",
"option2_name",
"option3_name"
]
}
try:
response = es_client.client.search(index="search_products", body=query)
hits = response.get('hits', {}).get('hits', [])
total = response.get('hits', {}).get('total', {}).get('value', 0)
print(f"\n总文档数: {total}")
print(f"检查前 {len(hits)} 个文档:\n")
for i, hit in enumerate(hits, 1):
source = hit.get('_source', {})
print(f"文档 {i}:")
print(f" spu_id: {source.get('spu_id')}")
print(f" title_zh: {source.get('title_zh', '')[:50]}")
print(f" category1_name: {source.get('category1_name')}")
print(f" category2_name: {source.get('category2_name')}")
print(f" category3_name: {source.get('category3_name')}")
print(f" category_name: {source.get('category_name')}")
print(f" category_path_zh: {source.get('category_path_zh')}")
print(f" option1_name: {source.get('option1_name')}")
print(f" option2_name: {source.get('option2_name')}")
print(f" option3_name: {source.get('option3_name')}")
specs = source.get('specifications', [])
if specs:
print(f" specifications 数量: {len(specs)}")
# 显示前3个specifications
for spec in specs[:3]:
print(f" - name: {spec.get('name')}, value: {spec.get('value')}")
else:
print(f" specifications: 空")
print()
except Exception as e:
print(f"错误: {e}")
import traceback
traceback.print_exc()
def check_facet_aggregations(es_client, tenant_id: str):
"""检查分面聚合查询"""
print("\n" + "="*60)
print("检查分面聚合查询结果")
print("="*60)
query = {
"query": {
"term": {
"tenant_id": tenant_id
}
},
"size": 0,
"aggs": {
"category1_facet": {
"terms": {
"field": "category1_name",
"size": 10
}
},
"color_facet": {
"nested": {
"path": "specifications"
},
"aggs": {
"filter_by_name": {
"filter": {
"term": {
"specifications.name": "color"
}
},
"aggs": {
"value_counts": {
"terms": {
"field": "specifications.value",
"size": 10
}
}
}
}
}
},
"size_facet": {
"nested": {
"path": "specifications"
},
"aggs": {
"filter_by_name": {
"filter": {
"term": {
"specifications.name": "size"
}
},
"aggs": {
"value_counts": {
"terms": {
"field": "specifications.value",
"size": 10
}
}
}
}
}
},
"material_facet": {
"nested": {
"path": "specifications"
},
"aggs": {
"filter_by_name": {
"filter": {
"term": {
"specifications.name": "material"
}
},
"aggs": {
"value_counts": {
"terms": {
"field": "specifications.value",
"size": 10
}
}
}
}
}
}
}
}
try:
response = es_client.client.search(index="search_products", body=query)
aggs = response.get('aggregations', {})
print("\n1. category1_name 分面:")
category1 = aggs.get('category1_facet', {})
buckets = category1.get('buckets', [])
if buckets:
for bucket in buckets:
print(f" {bucket['key']}: {bucket['doc_count']}")
else:
print(" 空（没有数据）")
print("\n2. specifications.color 分面:")
color_agg = aggs.get('color_facet', {})
color_filter = color_agg.get('filter_by_name', {})
color_values = color_filter.get('value_counts', {})
color_buckets = color_values.get('buckets', [])
if color_buckets:
for bucket in color_buckets:
print(f" {bucket['key']}: {bucket['doc_count']}")
else:
print(" 空（没有数据）")
print("\n3. specifications.size 分面:")
size_agg = aggs.get('size_facet', {})
size_filter = size_agg.get('filter_by_name', {})
size_values = size_filter.get('value_counts', {})
size_buckets = size_values.get('buckets', [])
if size_buckets:
for bucket in size_buckets:
print(f" {bucket['key']}: {bucket['doc_count']}")
else:
print(" 空（没有数据）")
print("\n4. specifications.material 分面:")
material_agg = aggs.get('material_facet', {})
material_filter = material_agg.get('filter_by_name', {})
material_values = material_filter.get('value_counts', {})
material_buckets = material_values.get('buckets', [])
if material_buckets:
for bucket in material_buckets:
print(f" {bucket['key']}: {bucket['doc_count']}")
else:
print(" 空（没有数据）")
except Exception as e:
print(f"错误: {e}")
import traceback
traceback.print_exc()
def main():
parser = argparse.ArgumentParser(description='检查ES索引中的分面字段数据')
parser.add_argument('--tenant-id', required=True, help='Tenant ID')
parser.add_argument('--es-host', help='Elasticsearch host (或使用环境变量 ES_HOST, 默认: http://localhost:9200)')
parser.add_argument('--size', type=int, default=5, help='检查的文档数量 (默认: 5)')
args = parser.parse_args()
# 连接ES
es_host = args.es_host or os.environ.get('ES_HOST', 'http://localhost:9200')
es_username = os.environ.get('ES_USERNAME')
es_password = os.environ.get('ES_PASSWORD')
print(f"连接Elasticsearch: {es_host}")
print(f"Tenant ID: {args.tenant_id}\n")
try:
if es_username and es_password:
es_client = ESClient(hosts=[es_host], username=es_username, password=es_password)
else:
es_client = ESClient(hosts=[es_host])
if not es_client.ping():
print(f"✗ 无法连接到Elasticsearch: {es_host}")
return 1
print("✓ Elasticsearch连接成功\n")
except Exception as e:
print(f"✗ 连接Elasticsearch失败: {e}")
return 1
# 检查ES数据
check_es_facet_fields(es_client, args.tenant_id, args.size)
check_facet_aggregations(es_client, args.tenant_id)
print("\n" + "="*60)
print("检查完成")
print("="*60)
return 0
if __name__ == '__main__':
sys.exit(main())
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