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#!/usr/bin/env python3
"""
Main entry point for SearchEngine operations.
Provides a unified CLI for common operations:
- ingest: Ingest data into Elasticsearch
- serve: Start API service
- search: Test search from command line
"""
import sys
import os
import argparse
import json
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调整配置目录结构
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import pandas as pd
import uvicorn
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# Add parent directory to path
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from config import ConfigLoader
from utils import ESClient
from indexer import DataTransformer, IndexingPipeline
from embeddings import BgeEncoder, CLIPImageEncoder
from search import Searcher
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def cmd_ingest(args):
"""Run data ingestion."""
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print(f"Starting ingestion for customer: {args.customer}")
# Load config
config_loader = ConfigLoader("config/schema")
config = config_loader.load_customer_config(args.customer)
# Initialize ES
es_client = ESClient(hosts=[args.es_host])
if not es_client.ping():
print(f"ERROR: Cannot connect to Elasticsearch at {args.es_host}")
return 1
# Load data
df = pd.read_csv(args.csv_file)
if args.limit:
df = df.head(args.limit)
print(f"Loaded {len(df)} documents")
# Initialize encoders
text_encoder = None if args.skip_embeddings else BgeEncoder()
image_encoder = None if args.skip_embeddings else CLIPImageEncoder()
# Transform and index
transformer = DataTransformer(config, text_encoder, image_encoder, use_cache=True)
pipeline = IndexingPipeline(config, es_client, transformer, recreate_index=args.recreate)
results = pipeline.run(df, batch_size=args.batch_size)
print(f"\nIngestion complete:")
print(f" Success: {results['success']}")
print(f" Failed: {results['failed']}")
print(f" Time: {results['elapsed_time']:.2f}s")
return 0
def cmd_serve(args):
"""Start API service."""
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os.environ['CUSTOMER_ID'] = args.customer
os.environ['ES_HOST'] = args.es_host
print(f"Starting API service...")
print(f" Customer: {args.customer}")
print(f" Host: {args.host}:{args.port}")
print(f" Elasticsearch: {args.es_host}")
uvicorn.run(
"api.app:app",
host=args.host,
port=args.port,
reload=args.reload
)
def cmd_search(args):
"""Test search from command line."""
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# Load config
config_loader = ConfigLoader("config/schema")
config = config_loader.load_customer_config(args.customer)
# Initialize ES and searcher
es_client = ESClient(hosts=[args.es_host])
if not es_client.ping():
print(f"ERROR: Cannot connect to Elasticsearch at {args.es_host}")
return 1
searcher = Searcher(config, es_client)
# Execute search
print(f"Searching for: '{args.query}'")
result = searcher.search(
query=args.query,
size=args.size,
enable_translation=not args.no_translation,
enable_embedding=not args.no_embedding
)
# Display results
print(f"\nFound {result.total} results in {result.took_ms}ms")
print(f"Max score: {result.max_score}")
if args.json:
print(json.dumps(result.to_dict(), indent=2, ensure_ascii=False))
else:
print(f"\nTop {len(result.hits)} results:")
for i, hit in enumerate(result.hits, 1):
source = hit['_source']
score = hit['_score']
print(f"\n{i}. Score: {score:.4f}")
print(f" ID: {source.get('skuId', 'N/A')}")
print(f" Name: {source.get('name', 'N/A')}")
print(f" Category: {source.get('categoryName', 'N/A')}")
print(f" Brand: {source.get('brandName', 'N/A')}")
return 0
def main():
"""Main CLI entry point."""
parser = argparse.ArgumentParser(
description='SearchEngine - E-Commerce Search SaaS',
formatter_class=argparse.RawDescriptionHelpFormatter
)
subparsers = parser.add_subparsers(dest='command', help='Command to execute')
# Ingest command
ingest_parser = subparsers.add_parser('ingest', help='Ingest data into Elasticsearch')
ingest_parser.add_argument('csv_file', help='Path to CSV data file')
ingest_parser.add_argument('--customer', default='customer1', help='Customer ID')
ingest_parser.add_argument('--es-host', default='http://localhost:9200', help='Elasticsearch host')
ingest_parser.add_argument('--limit', type=int, help='Limit number of documents')
ingest_parser.add_argument('--batch-size', type=int, default=100, help='Batch size')
ingest_parser.add_argument('--recreate', action='store_true', help='Recreate index')
ingest_parser.add_argument('--skip-embeddings', action='store_true', help='Skip embeddings')
# Serve command
serve_parser = subparsers.add_parser('serve', help='Start API service')
serve_parser.add_argument('--customer', default='customer1', help='Customer ID')
serve_parser.add_argument('--host', default='0.0.0.0', help='Host to bind to')
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serve_parser.add_argument('--port', type=int, default=6002, help='Port to bind to')
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serve_parser.add_argument('--es-host', default='http://localhost:9200', help='Elasticsearch host')
serve_parser.add_argument('--reload', action='store_true', help='Enable auto-reload')
# Search command
search_parser = subparsers.add_parser('search', help='Test search from command line')
search_parser.add_argument('query', help='Search query')
search_parser.add_argument('--customer', default='customer1', help='Customer ID')
search_parser.add_argument('--es-host', default='http://localhost:9200', help='Elasticsearch host')
search_parser.add_argument('--size', type=int, default=10, help='Number of results')
search_parser.add_argument('--no-translation', action='store_true', help='Disable translation')
search_parser.add_argument('--no-embedding', action='store_true', help='Disable embeddings')
search_parser.add_argument('--json', action='store_true', help='Output JSON')
args = parser.parse_args()
if not args.command:
parser.print_help()
return 1
# Execute command
if args.command == 'ingest':
return cmd_ingest(args)
elif args.command == 'serve':
return cmd_serve(args)
elif args.command == 'search':
return cmd_search(args)
else:
print(f"Unknown command: {args.command}")
return 1
if __name__ == "__main__":
sys.exit(main())
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