vanna_flask/app.py

import json

from dotenv import load_dotenv
from vanna import add_ddl

load_dotenv()

from functools import wraps
from flask import Flask, jsonify, Response, request, redirect, url_for
import flask
import os
from cache import MemoryCache
from flask_cors import CORS
from service.result import success, failed, MyEncoder

app = Flask(__name__, static_url_path='')
CORS(app)

# SETUP
cache = MemoryCache()

# from vanna.local import LocalContext_OpenAI
# vn = LocalContext_OpenAI()

from vanna.openai.openai_chat import OpenAI_Chat
from vanna.chromadb import ChromaDB_VectorStore
from vanna.flask import VannaFlaskApp
from openai import OpenAI

api_key = os.getenv('api_key')
base_url = os.getenv('base_url')
model_name = os.getenv('model')

class MyVanna(ChromaDB_VectorStore, OpenAI_Chat):
    def __init__(self, client=None,config=None):
        ChromaDB_VectorStore.__init__(self, config=config)
        OpenAI_Chat.__init__(self, client=client, config=config)

client = OpenAI(
    api_key=api_key,
    base_url=base_url,
)   
vn =MyVanna(client=client,config={'model':model_name})

# from vanna.remote import VannaDefault
# vn = VannaDefault(model=os.environ['VANNA_MODEL'], api_key=os.environ['VANNA_API_KEY'])

# vn.connect_to_snowflake(
#     account=os.environ['SNOWFLAKE_ACCOUNT'],
#     username=os.environ['SNOWFLAKE_USERNAME'],
#     password=os.environ['SNOWFLAKE_PASSWORD'],
#     database=os.environ['SNOWFLAKE_DATABASE'],
#     warehouse=os.environ['SNOWFLAKE_WAREHOUSE'],
# )

# vn.connect_to_mysql(host='192.168.3.86', dbname='digitization_data', user='root', password='123456', port=3306)
vn.connect_to_mysql(host='192.168.3.91', dbname='digitization_data', user='root', password='2099citu##$$**.com', port=3306)

# NO NEED TO CHANGE ANYTHING BELOW THIS LINE
def requires_cache(fields):
    def decorator(f):
        @wraps(f)
        def decorated(*args, **kwargs):
            id = request.args.get('id')

            if id is None:
                # return jsonify({"type": "error", "error": "No id provided"})
                res = failed({}, {"error":"No id provided"})
                return json.dumps(res, ensure_ascii=False, cls=MyEncoder)
            for field in fields:
                if cache.get(id=id, field=field) is None:
                    # return jsonify({"type": "error", "error": f"No {field} found"})
                    res = failed({}, {"error": f"No {field} found"})
                    return json.dumps(res, ensure_ascii=False, cls=MyEncoder)
            
            field_values = {field: cache.get(id=id, field=field) for field in fields}
            
            # Add the id to the field_values
            field_values['id'] = id

            return f(*args, **field_values, **kwargs)
        return decorated
    return decorator

@app.route('/api/v0/generate_questions', methods=['GET'])
def generate_questions():
    # return jsonify({
    #     "type": "question_list",
    #     "questions": vn.generate_questions(),
    #     "header": "Here are some questions you can ask:"
    #     })
    try:
        response_data = {
            "type": "question_list",
            "questions": vn.generate_questions(),
            "header": "Here are some questions you can ask:"
            }
        res = success(response_data, "success")
        return json.dumps(res, ensure_ascii=False, cls=MyEncoder)
    except Exception as e:
        res = failed({}, {"error": f"{e}"})
        return json.dumps(res, ensure_ascii=False, cls=MyEncoder)

@app.route('/api/v0/generate_sql', methods=['GET'])
def generate_sql():
    question = flask.request.args.get('question')

    if question is None:
        # return jsonify({"type": "error", "error": "No question provided"})
        res = failed({}, {"error": "No question provided"})
        return json.dumps(res, ensure_ascii=False, cls=MyEncoder)

    id = cache.generate_id(question=question)
    sql = vn.generate_sql(question=question)

    cache.set(id=id, field='question', value=question)
    cache.set(id=id, field='sql', value=sql)

    # return jsonify(
    #     {
    #         "type": "sql",
    #         "id": id,
    #         "text": sql,
    #     })
    response_data = {
            "type": "sql",
            "id": id,
            "text": sql,
        }
    res = success(response_data, "success")
    return json.dumps(res, ensure_ascii=False, cls=MyEncoder)

@app.route('/api/v0/run_sql', methods=['GET'])
@requires_cache(['sql'])
def run_sql(id: str, sql: str):
    try:
        df = vn.run_sql(sql=sql)

        cache.set(id=id, field='df', value=df)

        # return jsonify(
        #     {
        #         "type": "df",
        #         "id": id,
        #         "df": df.head(10).to_json(orient='records'),
        #     })
        response_data = {
                "type": "df",
                "id": id,
                "df": df.head(10).to_json(orient='records'),
            }
        res = success(response_data, "success")
        return json.dumps(res, ensure_ascii=False, cls=MyEncoder)

    except Exception as e:
        # return jsonify({"type": "error", "error": str(e)})
        res = failed({}, {"error": f"{e}"})
        return json.dumps(res, ensure_ascii=False, cls=MyEncoder)

@app.route('/api/v0/download_csv', methods=['GET'])
@requires_cache(['df'])
def download_csv(id: str, df):
    csv = df.to_csv()

    return Response(
        csv,
        mimetype="text/csv",
        headers={"Content-disposition":
                 f"attachment; filename={id}.csv"})

@app.route('/api/v0/generate_plotly_figure', methods=['GET'])
@requires_cache(['df', 'question', 'sql'])
def generate_plotly_figure(id: str, df, question, sql):
    try:
        code = vn.generate_plotly_code(question=question, sql=sql, df_metadata=f"Running df.dtypes gives:\n {df.dtypes}")
        fig = vn.get_plotly_figure(plotly_code=code, df=df, dark_mode=False)
        fig_json = fig.to_json()

        cache.set(id=id, field='fig_json', value=fig_json)

        return jsonify(
            {
                "type": "plotly_figure", 
                "id": id,
                "fig": fig_json,
            })
    except Exception as e:
        # Print the stack trace
        import traceback
        traceback.print_exc()

        return jsonify({"type": "error", "error": str(e)})

@app.route('/api/v0/get_training_data', methods=['GET'])
def get_training_data():
    df = vn.get_training_data()

    return jsonify(
    {
        "type": "df", 
        "id": "training_data",
        "df": df.head(25).to_json(orient='records'),
    })

@app.route('/api/v0/remove_training_data', methods=['POST'])
def remove_training_data():
    # Get id from the JSON body
    id = flask.request.json.get('id')

    if id is None:
        return jsonify({"type": "error", "error": "No id provided"})

    if vn.remove_training_data(id=id):
        return jsonify({"success": True})
    else:
        return jsonify({"type": "error", "error": "Couldn't remove training data"})

@app.route('/api/v0/train', methods=['POST'])
def add_training_data():
    question = flask.request.json.get('question')
    sql = flask.request.json.get('sql')
    ddl = flask.request.json.get('ddl')
    documentation = flask.request.json.get('documentation')

    try:
        id = vn.train(question=question, sql=sql, ddl=ddl, documentation=documentation)
        if ddl:
            vn.train(ddl=ddl)

        # return jsonify({"id": id})
        res = success({"id": id}, "success")
        return json.dumps(res, ensure_ascii=False, cls=MyEncoder)
    except Exception as e:
        print("TRAINING ERROR", e)
        # return jsonify({"type": "error", "error": str(e)})
        res = failed({}, {"error": f"{e}"})
        return json.dumps(res, ensure_ascii=False, cls=MyEncoder)

@app.route('/api/v0/generate_followup_questions', methods=['GET'])
@requires_cache(['df', 'question', 'sql'])
def generate_followup_questions(id: str, df, question, sql):
    followup_questions = vn.generate_followup_questions(question=question, sql=sql, df=df)

    cache.set(id=id, field='followup_questions', value=followup_questions)

    return jsonify(
        {
            "type": "question_list", 
            "id": id,
            "questions": followup_questions,
            "header": "Here are some followup questions you can ask:"
        })

@app.route('/api/v0/load_question', methods=['GET'])
@requires_cache(['question', 'sql', 'df', 'fig_json', 'followup_questions'])
def load_question(id: str, question, sql, df, fig_json, followup_questions):
    try:
        return jsonify(
            {
                "type": "question_cache", 
                "id": id,
                "question": question,
                "sql": sql,
                "df": df.head(10).to_json(orient='records'),
                "fig": fig_json,
                "followup_questions": followup_questions,
            })

    except Exception as e:
        return jsonify({"type": "error", "error": str(e)})

@app.route('/api/v0/get_question_history', methods=['GET'])
def get_question_history():
    return jsonify({"type": "question_history", "questions": cache.get_all(field_list=['question']) })

@app.route('/')
def root():
    return app.send_static_file('index.html')

if __name__ == '__main__':
    app.run(debug=True,host='0.0.0.0',port = 3005)