Files
ss-tools/backend/src/plugins/mapper.py
busya 306c5ae742 semantics: complete DEF-to-region migration, fix regressions
- Convert legacy [DEF🆔Type] anchors to #region/#endregion across 329 files
- Reinstate _normalize_timestamp_value in sql_generator.py
- Fix MarkerLogger→logger migration in events.py (molecular CoT markers)
- Fix dataset_review orchestrator dependencies (_build_execution_snapshot)
- Fix config_manager stale-record deletion (moved to save path only)
- Add 77 missing [/DEF:] closers in 5 unbalanced test files
- Update assistant_chat.integration.test.js for #region format
- Apply molecular-cot-logging markers (REASON/REFLECT/EXPLORE) via logger.* methods
2026-05-12 23:54:55 +03:00

211 lines
8.6 KiB
Python

# #region MapperPluginModule [TYPE Module] [SEMANTICS plugin, mapper, datasets, postgresql, excel]
# @BRIEF Implements a plugin for mapping dataset columns using external database connections or Excel files.
# @LAYER: Plugins
# @RELATION Inherits from PluginBase. Uses DatasetMapper from superset_tool.
# @RELATION USES -> TaskContext
from typing import Dict, Any, Optional
from ..core.plugin_base import PluginBase
from ..core.superset_client import SupersetClient
from ..core.logger import logger, belief_scope
from ..core.database import SessionLocal
from ..models.connection import ConnectionConfig
from ..core.utils.dataset_mapper import DatasetMapper
from ..core.task_manager.context import TaskContext
# #region MapperPlugin [TYPE Class]
# @BRIEF Plugin for mapping dataset columns verbose names.
class MapperPlugin(PluginBase):
"""
Plugin for mapping dataset columns verbose names.
"""
@property
# [DEF:id:Function]
# @PURPOSE: Returns the unique identifier for the mapper plugin.
# @PRE: Plugin instance exists.
# @POST: Returns string ID.
# @RETURN: str - "dataset-mapper"
def id(self) -> str:
with belief_scope("id"):
return "dataset-mapper"
# [/DEF:id:Function]
@property
# [DEF:name:Function]
# @PURPOSE: Returns the human-readable name of the mapper plugin.
# @PRE: Plugin instance exists.
# @POST: Returns string name.
# @RETURN: str - Plugin name.
def name(self) -> str:
with belief_scope("name"):
return "Dataset Mapper"
# [/DEF:name:Function]
@property
# [DEF:description:Function]
# @PURPOSE: Returns a description of the mapper plugin.
# @PRE: Plugin instance exists.
# @POST: Returns string description.
# @RETURN: str - Plugin description.
def description(self) -> str:
with belief_scope("description"):
return "Map dataset column verbose names using PostgreSQL comments or Excel files."
# [/DEF:description:Function]
@property
# [DEF:version:Function]
# @PURPOSE: Returns the version of the mapper plugin.
# @PRE: Plugin instance exists.
# @POST: Returns string version.
# @RETURN: str - "1.0.0"
def version(self) -> str:
with belief_scope("version"):
return "1.0.0"
# [/DEF:version:Function]
@property
# [DEF:ui_route:Function]
# @PURPOSE: Returns the frontend route for the mapper plugin.
# @RETURN: str - "/tools/mapper"
def ui_route(self) -> str:
with belief_scope("ui_route"):
return "/tools/mapper"
# [/DEF:ui_route:Function]
# [DEF:get_schema:Function]
# @PURPOSE: Returns the JSON schema for the mapper plugin parameters.
# @PRE: Plugin instance exists.
# @POST: Returns dictionary schema.
# @RETURN: Dict[str, Any] - JSON schema.
def get_schema(self) -> Dict[str, Any]:
with belief_scope("get_schema"):
return {
"type": "object",
"properties": {
"env": {
"type": "string",
"title": "Environment",
"description": "The Superset environment (e.g., 'dev')."
},
"dataset_id": {
"type": "integer",
"title": "Dataset ID",
"description": "The ID of the dataset to update."
},
"source": {
"type": "string",
"title": "Mapping Source",
"enum": ["postgres", "excel"],
"default": "postgres"
},
"connection_id": {
"type": "string",
"title": "Saved Connection",
"description": "The ID of a saved database connection (for postgres source)."
},
"table_name": {
"type": "string",
"title": "Table Name",
"description": "Target table name in PostgreSQL."
},
"table_schema": {
"type": "string",
"title": "Table Schema",
"description": "Target table schema in PostgreSQL.",
"default": "public"
},
"excel_path": {
"type": "string",
"title": "Excel Path",
"description": "Path to the Excel file (for excel source)."
}
},
"required": ["env", "dataset_id", "source"]
}
# [/DEF:get_schema:Function]
# [DEF:execute:Function]
# @PURPOSE: Executes the dataset mapping logic with TaskContext support.
# @PARAM: params (Dict[str, Any]) - Mapping parameters.
# @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.
# @PRE: Params contain valid 'env', 'dataset_id', and 'source'. params must be a dictionary.
# @POST: Updates the dataset in Superset.
# @RETURN: Dict[str, Any] - Execution status.
async def execute(self, params: Dict[str, Any], context: Optional[TaskContext] = None) -> Dict[str, Any]:
with belief_scope("execute"):
env_name = params.get("env")
dataset_id = params.get("dataset_id")
source = params.get("source")
# Use TaskContext logger if available, otherwise fall back to app logger
log = context.logger if context else logger
# Create sub-loggers for different components
superset_log = log.with_source("superset_api") if context else log
db_log = log.with_source("postgres") if context else log
if not env_name or dataset_id is None or not source:
log.error("Missing required parameters: env, dataset_id, source")
raise ValueError("Missing required parameters: env, dataset_id, source")
# Get config and initialize client
from ..dependencies import get_config_manager
config_manager = get_config_manager()
env_config = config_manager.get_environment(env_name)
if not env_config:
log.error(f"Environment '{env_name}' not found in configuration.")
raise ValueError(f"Environment '{env_name}' not found in configuration.")
client = SupersetClient(env_config)
client.authenticate()
postgres_config = None
if source == "postgres":
connection_id = params.get("connection_id")
if not connection_id:
log.error("connection_id is required for postgres source.")
raise ValueError("connection_id is required for postgres source.")
# Load connection from DB
db = SessionLocal()
try:
conn_config = db.query(ConnectionConfig).filter(ConnectionConfig.id == connection_id).first()
if not conn_config:
db_log.error(f"Connection {connection_id} not found.")
raise ValueError(f"Connection {connection_id} not found.")
postgres_config = {
'dbname': conn_config.database,
'user': conn_config.username,
'password': conn_config.password,
'host': conn_config.host,
'port': str(conn_config.port) if conn_config.port else '5432'
}
db_log.debug(f"Loaded connection config for {conn_config.host}:{conn_config.port}/{conn_config.database}")
finally:
db.close()
log.info(f"Starting mapping for dataset {dataset_id} in {env_name}")
mapper = DatasetMapper()
try:
mapper.run_mapping(
superset_client=client,
dataset_id=dataset_id,
source=source,
postgres_config=postgres_config,
excel_path=params.get("excel_path"),
table_name=params.get("table_name"),
table_schema=params.get("table_schema") or "public"
)
superset_log.info(f"Mapping completed for dataset {dataset_id}")
return {"status": "success", "dataset_id": dataset_id}
except Exception as e:
log.error(f"Mapping failed: {e}")
raise
# [/DEF:execute:Function]
# #endregion MapperPlugin
# #endregion MapperPluginModule