dify/api/core/features/external_data_fetch.py
takatost d069c668f8
Model Runtime (#1858)
Co-authored-by: StyleZhang <jasonapring2015@outlook.com>
Co-authored-by: Garfield Dai <dai.hai@foxmail.com>
Co-authored-by: chenhe <guchenhe@gmail.com>
Co-authored-by: jyong <jyong@dify.ai>
Co-authored-by: Joel <iamjoel007@gmail.com>
Co-authored-by: Yeuoly <admin@srmxy.cn>
2024-01-02 23:42:00 +08:00

97 lines
3.1 KiB
Python

import concurrent
import json
import logging
from concurrent.futures import ThreadPoolExecutor
from typing import Tuple, Optional
from flask import current_app, Flask
from core.entities.application_entities import ExternalDataVariableEntity
from core.external_data_tool.factory import ExternalDataToolFactory
logger = logging.getLogger(__name__)
class ExternalDataFetchFeature:
def fetch(self, tenant_id: str,
app_id: str,
external_data_tools: list[ExternalDataVariableEntity],
inputs: dict,
query: str) -> dict:
"""
Fill in variable inputs from external data tools if exists.
:param tenant_id: workspace id
:param app_id: app id
:param external_data_tools: external data tools configs
:param inputs: the inputs
:param query: the query
:return: the filled inputs
"""
# Group tools by type and config
grouped_tools = {}
for tool in external_data_tools:
tool_key = (tool.type, json.dumps(tool.config, sort_keys=True))
grouped_tools.setdefault(tool_key, []).append(tool)
results = {}
with ThreadPoolExecutor() as executor:
futures = {}
for tool in external_data_tools:
future = executor.submit(
self._query_external_data_tool,
current_app._get_current_object(),
tenant_id,
app_id,
tool,
inputs,
query
)
futures[future] = tool
for future in concurrent.futures.as_completed(futures):
tool_variable, result = future.result()
results[tool_variable] = result
inputs.update(results)
return inputs
def _query_external_data_tool(self, flask_app: Flask,
tenant_id: str,
app_id: str,
external_data_tool: ExternalDataVariableEntity,
inputs: dict,
query: str) -> Tuple[Optional[str], Optional[str]]:
"""
Query external data tool.
:param flask_app: flask app
:param tenant_id: tenant id
:param app_id: app id
:param external_data_tool: external data tool
:param inputs: inputs
:param query: query
:return:
"""
with flask_app.app_context():
tool_variable = external_data_tool.variable
tool_type = external_data_tool.type
tool_config = external_data_tool.config
external_data_tool_factory = ExternalDataToolFactory(
name=tool_type,
tenant_id=tenant_id,
app_id=app_id,
variable=tool_variable,
config=tool_config
)
# query external data tool
result = external_data_tool_factory.query(
inputs=inputs,
query=query
)
return tool_variable, result