Fix some bugs in text2sql.(#4279)(#4281) ### What problem does this PR solve? - The incorrect results in parsing CSV files of the QA knowledge base in the text2sql scenario. Process CSV files using the csv library. Decouple CSV parsing from TXT parsing - Most llm return results in markdown format ```sql query ```, Fix execution error caused by LLM output SQLmarkdown format.### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)
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Graph
Introduction
Graph is a mathematical concept which is composed of nodes and edges. It is used to compose a complex work flow or agent. And this graph is beyond the DAG that we can use circles to describe our agent or work flow. Under this folder, we propose a test tool ./test/client.py which can test the DSLs such as json files in folder ./test/dsl_examples. Please use this client at the same folder you start RAGFlow. If it's run by Docker, please go into the container before running the client. Otherwise, correct configurations in service_conf.yaml is essential.
PYTHONPATH=path/to/ragflow python graph/test/client.py -h
usage: client.py [-h] -s DSL -t TENANT_ID -m
options:
-h, --help show this help message and exit
-s DSL, --dsl DSL input dsl
-t TENANT_ID, --tenant_id TENANT_ID
Tenant ID
-m, --stream Stream output