3bb1af6b
 tangwang
tenant1和tenant2 m...
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#!/usr/bin/env python3
"""
Debug script to investigate why query "车" returns no results for tenant_id=2
"""
import json
import os
import sys
# Import ESClient directly to avoid sqlalchemy dependency
from elasticsearch import Elasticsearch
from typing import Dict, Any, List, Optional
class ESClient:
"""Simple ES client for debugging."""
def __init__(self, hosts: List[str] = None, username: Optional[str] = None, password: Optional[str] = None):
if hosts is None:
hosts = [os.getenv('ES_HOST', 'http://localhost:9200')]
client_config = {'hosts': hosts, 'timeout': 30}
if username and password:
client_config['http_auth'] = (username, password)
self.client = Elasticsearch(**client_config)
def ping(self) -> bool:
try:
return self.client.ping()
except:
return False
def index_exists(self, index_name: str) -> bool:
return self.client.indices.exists(index=index_name)
def count(self, index_name: str, body: Optional[Dict[str, Any]] = None) -> int:
try:
result = self.client.count(index=index_name, body=body)
return result['count']
except:
return 0
def search(self, index_name: str, body: Dict[str, Any], size: int = 10, from_: int = 0) -> Dict[str, Any]:
try:
return self.client.search(index=index_name, body=body, size=size, from_=from_)
except Exception as e:
return {'hits': {'total': {'value': 0}, 'hits': []}, 'error': str(e)}
from config.config_loader import ConfigLoader
def main():
# Load config
config_loader = ConfigLoader("config/config.yaml")
config = config_loader.load_config()
# Get ES connection info
es_host = os.getenv('ES_HOST', 'http://localhost:9200')
es_username = os.getenv('ES_USERNAME')
es_password = os.getenv('ES_PASSWORD')
# Initialize ES client
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"ERROR: Cannot connect to Elasticsearch at {es_host}")
return 1
index_name = config.es_index_name
print(f"Using index: {index_name}")
print(f"ES host: {es_host}\n")
# 1. Check if index exists
if not es_client.index_exists(index_name):
print(f"ERROR: Index '{index_name}' does not exist")
return 1
# 2. Count documents with tenant_id=2
count_query = {
"query": {
"term": {
"tenant_id": "2"
}
}
}
tenant_count = es_client.count(index_name, count_query)
print(f"Documents with tenant_id='2': {tenant_count}")
# 3. Check if there are documents containing "遥控车" or "车"
search_terms = ["遥控车", "车"]
for term in search_terms:
term_query = {
"query": {
"bool": {
"must": [
{
"multi_match": {
"query": term,
"fields": [
"title^3.0",
"brief^1.5",
"description",
"seo_title^2.0",
"seo_description^1.5",
"seo_keywords^2.0",
"vendor^1.5",
"product_type^1.5",
"tags",
"category^1.5"
]
}
}
],
"filter": [
{
"term": {
"tenant_id": "2"
}
}
]
}
},
"size": 5
}
result = es_client.search(index_name, term_query, size=5)
total = result.get('hits', {}).get('total', {})
if isinstance(total, dict):
total_value = total.get('value', 0)
else:
total_value = total
print(f"\nSearch for '{term}' with tenant_id=2: {total_value} results")
if total_value > 0:
print("Sample results:")
for i, hit in enumerate(result.get('hits', {}).get('hits', [])[:3], 1):
source = hit.get('_source', {})
print(f" {i}. {source.get('title', 'N/A')} (score: {hit.get('_score', 0):.3f})")
print(f" tenant_id: {source.get('tenant_id', 'N/A')}")
# 4. Test the exact query structure from the user
print("\n" + "="*60)
print("Testing exact query structure from user:")
print("="*60)
exact_query = {
"query": {
"bool": {
"must": [
{
"bool": {
"should": [
{
"multi_match": {
"query": "车",
"fields": [
"title^3.0",
"brief^1.5",
"description",
"seo_title^2.0",
"seo_description^1.5",
"seo_keywords^2.0",
"vendor^1.5",
"product_type^1.5",
"tags",
"category^1.5"
],
"minimum_should_match": "67%",
"tie_breaker": 0.9,
"boost": 1,
"_name": "default_query"
}
}
],
"minimum_should_match": 1
}
}
],
"filter": [
{
"term": {
"tenant_id": "2"
}
}
]
}
},
"size": 10
}
print("\nQuery structure:")
print(json.dumps(exact_query, indent=2, ensure_ascii=False))
result = es_client.search(index_name, exact_query, size=10)
total = result.get('hits', {}).get('total', {})
if isinstance(total, dict):
total_value = total.get('value', 0)
else:
total_value = total
max_score = result.get('hits', {}).get('max_score') or 0.0
print(f"\nResults: {total_value} hits, max_score: {max_score}")
if total_value == 0:
print("\n⚠️ No results found! Investigating...")
# 5. Check if "车" matches without minimum_should_match
print("\nTesting without minimum_should_match:")
simple_query = {
"query": {
"bool": {
"must": [
{
"multi_match": {
"query": "车",
"fields": [
"title^3.0",
"brief^1.5",
"description"
]
}
}
],
"filter": [
{
"term": {
"tenant_id": "2"
}
}
]
}
},
"size": 5
}
simple_result = es_client.search(index_name, simple_query, size=5)
simple_total = simple_result.get('hits', {}).get('total', {})
if isinstance(simple_total, dict):
simple_total_value = simple_total.get('value', 0)
else:
simple_total_value = simple_total
print(f"Results without minimum_should_match: {simple_total_value}")
# 6. Check field values for tenant_id=2 documents
print("\nChecking sample documents with tenant_id=2:")
sample_query = {
"query": {
"term": {
"tenant_id": "2"
}
},
"size": 3,
"_source": ["title", "brief", "description", "category", "tags", "tenant_id"]
}
sample_result = es_client.search(index_name, sample_query, size=3)
for i, hit in enumerate(sample_result.get('hits', {}).get('hits', []), 1):
source = hit.get('_source', {})
print(f"\n Document {i}:")
print(f" title: {source.get('title', 'N/A')}")
print(f" brief: {source.get('brief', 'N/A')[:50] if source.get('brief') else 'N/A'}")
print(f" category: {source.get('category', 'N/A')}")
print(f" tags: {source.get('tags', 'N/A')}")
else:
print("\n✅ Found results!")
print("\nTop results:")
for i, hit in enumerate(result.get('hits', {}).get('hits', [])[:5], 1):
source = hit.get('_source', {})
print(f" {i}. {source.get('title', 'N/A')} (score: {hit.get('_score', 0):.3f})")
return 0
if __name__ == "__main__":
sys.exit(main())
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