239 lines
7.6 KiB
Python
239 lines
7.6 KiB
Python
import copy
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import logging
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from functools import wraps
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import util.utils
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from logging_config import LOGGING_CONFIG
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from service.cus_vanna_srevice import CustomVanna, QdrantClient, TTLCacheWrapper
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from decouple import config
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import flask
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from util import load_ddl_doc
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from flask import Flask, Response, jsonify, request, send_from_directory
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logger = logging.getLogger(__name__)
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def connect_database(vn):
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db_type = config('DATA_SOURCE_TYPE', default='sqlite')
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if db_type == 'sqlite':
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vn.connect_to_sqlite(config('SQLITE_DATABASE_URL', default=''))
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elif db_type == 'mysql':
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vn.connect_to_mysql(host=config('MYSQL_DATABASE_HOST', default=''),
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port=int(config('MYSQL_DATABASE_PORT', default=3306)),
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user=config('MYSQL_DATABASE_USER', default=''),
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password=config('MYSQL_DATABASE_PASSWORD', default=''),
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database=config('MYSQL_DATABASE_DBNAME', default=''))
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elif db_type == 'dameng':
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# 待补充
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vn.connect_to_dameng(
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host=config('DAMENG_DATABASE_HOST', default=''),
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port=config('DAMENG_DATABASE_PORT', default=3306),
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user=config('DAMENG_DATABASE_USER', default=''),
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password=config('DAMENG_DATABASE_PASSWORD', default=''),
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)
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else:
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pass
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def load_train_data_ddl(vn: CustomVanna):
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vn.train()
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def create_vana():
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logger.info("----------------create vana ---------")
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q_client = QdrantClient(":memory:") if config('QDRANT_TYPE', default='memory') == 'memory' else QdrantClient(
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url=config('QDRANT_DB_HOST', default=''), port=config('QDRANT_DB_PORT', default=6333))
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vn = CustomVanna(
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vector_store_config={"client": q_client},
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llm_config={
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"api_key": config('CHAT_MODEL_API_KEY', default=''),
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"api_base": config('CHAT_MODEL_BASE_URL', default=''),
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"model": config('CHAT_MODEL_NAME', default=''),
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'temperature':config('CHAT_MODEL_TEMPERATURE', default=0.7, cast=float),
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'max_tokens':config('CHAT_MODEL_MAX_TOKEN', default=20000),
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},
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)
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return vn
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def init_vn(vn):
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logger.info("--------------init vana-----connect to datasouce db----")
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connect_database(vn)
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load_ddl_doc.add_ddl(vn)
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load_ddl_doc.add_documentation(vn)
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if config('IS_FIRST_LOAD', default=False, cast=bool):
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load_train_data_ddl(vn)
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return vn
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from vanna.flask import VannaFlaskApp
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vn = create_vana()
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app = VannaFlaskApp(vn,chart=False)
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app.cache = TTLCacheWrapper(app.cache, ttl = config('TTL_CACHE', cast=int,default=60*60))
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init_vn(vn)
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cache = app.cache
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@app.flask_app.route("/yj_sqlbot/api/v0/generate_sql_2", methods=["GET"])
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def generate_sql_2():
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"""
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Generate SQL from a question
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---
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parameters:
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- name: user
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in: query
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- name: question
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in: query
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type: string
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required: true
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responses:
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200:
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schema:
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type: object
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properties:
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type:
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type: string
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default: sql
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id:
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type: string
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text:
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type: string
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"""
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logger.info("Start to generate sql in main")
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question = flask.request.args.get("question")
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if question is None:
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return jsonify({"type": "error", "error": "No question provided"})
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try:
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id = cache.generate_id(question=question)
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user_id = request.args.get("user_id")
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logger.info(f"Generate sql for {question}")
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data = vn.generate_sql_2(question=question, cache=cache, user_id=user_id)
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logger.info("Generate sql result is {0}".format(data))
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data['id'] = id
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sql = data["resp"]["sql"]
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logger.info("generate sql is : "+ sql)
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cache.set(id=id, field="question", value=question)
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cache.set(id=id, field="sql", value=sql)
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data["type"]="success"
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return jsonify(data)
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except Exception as e:
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logger.error(f"generate sql failed:{e}")
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return jsonify({"type": "error", "error": str(e)})
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def session_save(func):
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@wraps(func)
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def wrapper(*args, **kwargs):
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id=request.args.get("id")
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user_id = request.args.get("user_id")
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logger.info(f" id: {id},user_id: {user_id}")
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result = func(*args, **kwargs)
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datas=[]
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session_len = int(config("SESSION_LENGTH", default=2))
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if cache.exists(id=user_id, field="data"):
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datas = copy.deepcopy(cache.get(id=user_id, field="data"))
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data = {
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"id": id,
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"question":cache.get(id=id, field="question"),
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"sql":cache.get(id=id, field="sql")
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}
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datas.append(data)
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logger.info("datas is {0}".format(datas))
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if len(datas) > session_len and session_len > 0:
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datas=datas[-session_len:]
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# 删除id对应的所有缓存值,因为已经run_sql完毕，改用user_id保存为上下文
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cache.delete(id=id, field="question")
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cache.set(id=user_id, field="data", value=copy.deepcopy(datas))
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logger.info(f" user data {cache.get(user_id, field='data')}")
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return result
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return wrapper
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@app.flask_app.route("/yj_sqlbot/api/v0/run_sql_2", methods=["GET"])
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@session_save
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@app.requires_cache(["sql"])
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def run_sql_2(id: str, sql: str):
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"""
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Run SQL
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---
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parameters:
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- name: user_id
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in: query
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required: true
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- name: id
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in: query|body
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type: string
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required: true
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- name: page_size
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in: query
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-name: page_num
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in: query
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responses:
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200:
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schema:
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type: object
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properties:
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type:
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type: string
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default: df
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id:
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type: string
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df:
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type: object
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should_generate_chart:
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type: boolean
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"""
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logger.info("Start to run sql in main")
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try:
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if not vn.run_sql_is_set:
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return jsonify(
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{
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"type": "error",
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"error": "Please connect to a database using vn.connect_to_... in order to run SQL queries.",
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}
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)
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# count_sql = f"SELECT COUNT(*) AS total_count FROM ({sql}) AS subquery"
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# df_count = vn.run_sql(count_sql)
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# print(df_count,"is type",type(df_count))
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# total_count = df_count.to_dict(orient="records")[0]["total_count"]
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# logger.info("Total count is {0}".format(total_count))
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df = vn.run_sql(sql=sql)
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result = df.to_dict(orient='records')
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logger.info("df ---------------{0} {1}".format(result,type(result)))
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return jsonify(
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{
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"type": "success",
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"id": id,
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"df": result,
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}
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)
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except Exception as e:
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logger.error(f"run sql failed:{e}")
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return jsonify({"type": "sql_error", "error": str(e)})
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@app.flask_app.route("/yj_sqlbot/api/v0/verify", methods=["GET"])
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def verify_user():
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try:
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id = request.args.get("user_id")
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users = config('ALLOWED_USERS', default='')
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users = users.split(',')
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logger.info(f"allowed users {users}")
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for user in users:
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if user == id:
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return jsonify({"type": "success", "verify": True})
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else:
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return jsonify({"type": "success", "verify": False})
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except Exception as e:
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logger.error(f"verify user failed:{e}")
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return jsonify({"type": "error", "error": str(e)})
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=8084, debug=False)
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