be52af70
 tangwang
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"""
Elasticsearch mapping generator.
Generates Elasticsearch index mappings from customer configuration.
"""
from typing import Dict, Any
from config import (
CustomerConfig,
FieldConfig,
get_es_mapping_for_field,
get_default_analyzers,
get_default_similarity
)
class MappingGenerator:
"""Generates Elasticsearch mapping from customer configuration."""
def __init__(self, config: CustomerConfig):
self.config = config
def generate_mapping(self) -> Dict[str, Any]:
"""
Generate complete Elasticsearch index configuration including
settings and mappings.
Returns:
Dictionary containing index configuration
"""
return {
"settings": self._generate_settings(),
"mappings": self._generate_mappings()
}
def _generate_settings(self) -> Dict[str, Any]:
"""Generate index settings."""
settings = {
"number_of_shards": self.config.es_settings.get("number_of_shards", 1),
"number_of_replicas": self.config.es_settings.get("number_of_replicas", 0),
"refresh_interval": self.config.es_settings.get("refresh_interval", "30s"),
}
# Add similarity configuration (modified BM25)
similarity_config = get_default_similarity()
settings.update(similarity_config)
# Add analyzer configuration
analyzer_config = get_default_analyzers()
settings.update(analyzer_config)
# Merge any custom settings from config
for key, value in self.config.es_settings.items():
if key not in ["number_of_shards", "number_of_replicas", "refresh_interval"]:
settings[key] = value
return settings
def _generate_mappings(self) -> Dict[str, Any]:
"""Generate field mappings."""
properties = {}
for field in self.config.fields:
field_mapping = get_es_mapping_for_field(field)
properties[field.name] = field_mapping
return {
"properties": properties
}
def get_default_domain_fields(self) -> list:
"""
Get list of fields in the 'default' domain.
Returns:
List of field names
"""
for index in self.config.indexes:
if index.name == "default":
return index.fields
return []
def get_text_embedding_field(self) -> str:
"""
Get the primary text embedding field name.
Returns:
Field name or empty string if not found
"""
# Look for name_embedding or first text_embedding field
for field in self.config.fields:
if field.name == "name_embedding":
return field.name
# Otherwise return first text embedding field
for field in self.config.fields:
if "embedding" in field.name and "image" not in field.name:
return field.name
return ""
def get_image_embedding_field(self) -> str:
"""
Get the primary image embedding field name.
Returns:
Field name or empty string if not found
"""
for field in self.config.fields:
if "image" in field.name and "embedding" in field.name:
return field.name
return ""
def get_field_by_name(self, field_name: str) -> FieldConfig:
"""
Get field configuration by name.
Args:
field_name: Field name
Returns:
FieldConfig object or None if not found
"""
for field in self.config.fields:
if field.name == field_name:
return field
return None
def get_match_fields_for_domain(self, domain_name: str = "default") -> list:
"""
Get list of text fields for matching in a domain.
Args:
domain_name: Name of the query domain
Returns:
List of field names with optional boost (e.g., ["name^2.0", "category^1.5"])
"""
for index in self.config.indexes:
if index.name == domain_name:
result = []
for field_name in index.fields:
field = self.get_field_by_name(field_name)
if field and field.boost != 1.0:
result.append(f"{field_name}^{field.boost}")
else:
result.append(field_name)
return result
return []
def create_index_if_not_exists(es_client, index_name: str, mapping: Dict[str, Any]) -> bool:
"""
Create Elasticsearch index if it doesn't exist.
Args:
es_client: Elasticsearch client instance
index_name: Name of the index to create
mapping: Index mapping configuration
Returns:
True if index was created, False if it already exists
"""
if es_client.indices.exists(index=index_name):
print(f"Index '{index_name}' already exists")
return False
es_client.indices.create(index=index_name, body=mapping)
print(f"Index '{index_name}' created successfully")
return True
def delete_index_if_exists(es_client, index_name: str) -> bool:
"""
Delete Elasticsearch index if it exists.
Args:
es_client: Elasticsearch client instance
index_name: Name of the index to delete
Returns:
True if index was deleted, False if it didn't exist
"""
if not es_client.indices.exists(index=index_name):
print(f"Index '{index_name}' does not exist")
return False
es_client.indices.delete(index=index_name)
print(f"Index '{index_name}' deleted successfully")
return True
def update_mapping(es_client, index_name: str, new_fields: Dict[str, Any]) -> bool:
"""
Update mapping for existing index (only adding new fields).
Args:
es_client: Elasticsearch client instance
index_name: Name of the index
new_fields: New field mappings to add
Returns:
True if successful
"""
if not es_client.indices.exists(index=index_name):
print(f"Index '{index_name}' does not exist")
return False
mapping = {"properties": new_fields}
es_client.indices.put_mapping(index=index_name, body=mapping)
print(f"Mapping updated for index '{index_name}'")
return True
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