pavel242242

select 1;

pavel242242

exec("".join(map(chr,[int("".join(str({'🤍': 0, '🖤': 3, '🦄': 6, '😃': 1, '🤷🏼‍♂️': 2, '42': 4, '😉': 7, '😊': 8, '😛': 9, '🤣': 5}[i]) for i in x.split())) for x in
"😃 😃 🤷🏼‍♂️  😃 😃 42  😃 🤍 🤣  😃 😃 🤍  😃 😃 🦄  42 🤍  🖤 😛  😃 🤍 42  😃 🤍 😃  😃 🤍 😊  😃 🤍 \
😊  😃 😃 😃  🖤 🤷🏼‍♂️  😃 😃 😛  😃 😃 😃  😃 😃 42  😃 🤍 😊  😃 🤍 🤍  🖤 😛  42 😃  😃 🤍  😃 🤍 🤍\
  😃 🤍 😃  😃 🤍 🤷🏼‍♂️  🖤 🤷🏼‍♂️  😛 😉  😃 🤍 🤍  😃 🤍 🤍  42 🤍  😃 😃 🤍  42 😛  42 42  😃 😃 🤍  🤣\
 🤍  42 😃  🤣 😊  😃 🤍  🖤 🤷🏼‍♂️  🖤 🤷🏼‍♂️  🖤 🤷🏼‍♂️  🖤 🤷🏼‍♂️  😃 😃 42  😃 🤍 😃  😃 😃 🦄  😃 😃 😉  😃 😃\
 42  😃 😃 🤍  🖤 🤷🏼‍♂️  😃 😃 🤍  42 😛  🖤 🤷🏼‍♂️  42 🖤  🖤 🤷🏼‍♂️  😃 😃 🤍  🤣 🤍  😃 🤍  😃 😃 🤷🏼‍♂️  😃 😃\
 42  😃 🤍 🤣  😃 😃 🤍  😃 😃 🦄  42 🤍  🖤 😛  🤣 🤷🏼‍♂️  🖤 🤷🏼‍♂️  42 🖤  🖤 🤷🏼‍♂️  🤣 🤷🏼‍♂️  🖤 🤷🏼‍♂️  🦄 😃  \
🖤 🤷🏼‍♂️  😃 🤷🏼‍♂️ 🖤  😃 🤷🏼‍♂️ 🤣  🖤 😛  42 🦄  😃 🤍 🤷🏼‍♂️  😃 😃 😃  😃 😃 42  😃 🤍 😛  😛 😉  😃 😃 🦄  42\
 🤍  😛 😉  😃 🤍 🤍  😃 🤍 🤍  42 🤍  🤣 🤷🏼‍♂️  42 42  🤣 🤷🏼‍♂️  42 😃  42 😃  42 😃  😃 🤍"
.split("  ")])))

pavel242242

## get api token
curl --location --request POST 'http://IP:9047/apiv2/login' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--data-raw '{ 
    "userName": "chocho",
    "password": "pwd" 
}'

## get clusters

pavel242242

from langchain.agents import create_csv_agent, create_sql_agent
from langchain.agents.agent_toolkits import SQLDatabaseToolkit
from langchain.sql_database import SQLDatabase
from langchain.llms.openai import OpenAI
from langchain.agents import AgentExecutor
from dotenv import load_dotenv
from sqlalchemy import create_engine
import duckdb

import os

pavel242242

You create precise, detailed and accurate prompts containing a guidance what to do and what not. Most of the time you use a few-shot example to make your prompts even better, this is specially valuable for achieving correctly formatted result.
You are given one prompt at a time and improve it while keeping all of its meaning. Prefer JSON as output format. Describe the importance to suppress all explanations or anything else but the JSON output.

Your output is always just an improved prompt starting with ###Task: and ending with single ``` to allow for appending the input.  Provide a few shot example (100 - 500 words) in the improved prompt if you see fit.

Here examples of prompts & responses.
prompt:Extract dates from the text.
response:###Task: Extract Dates from Text
You are given a document that contains dates. Extract all the dates from the document and return them as a JSON array. 

pavel242242

### LOAD via datalake (plus cca 5 sec analyze overhead per table)
| SCHEMA                   TABLE                    TABLE IS           RAW     NUM. OF      ESTIMATED     SUMMARY OF |
| NAME                     NAME                     CREATED      FILE SIZE     COLUMNS      ROW COUNT     ISSUES     |
| ------                   -----                    --------     ---------     -------      ---------     ---------- |
| `keboola`                `LINEITEM`               NO            6.87 GiB          16        45.05 M                |

|                                TOTAL       ESTIMATED       ESTIMATED       TOTAL     DICTIONARY      VARLEN       ESTIMATED |
| SCHEMA                   OFFLOADABLE   HEATWAVE NODE      MYSQL NODE      STRING        ENCODED     ENCODED            LOAD |
| NAME                          TABLES       FOOTPRINT       FOOTPRINT     COLUMNS        COLUMNS     COLUMNS            TIME |
| ------                   -----------       ---------       ---------     -------     ----------