wiseman

from io import StringIO
import sys
from typing import Dict, Optional

from langchain.agents import load_tools
from langchain.agents import initialize_agent
from langchain.agents.tools import Tool
from langchain.llms import OpenAI

tmarthal

# -*- coding: utf-8 -*-
from airflow.operators.http_operator import SimpleHttpOperator
from airflow.operators.postgres_operator import PostgresOperator
from airflow.operators.subdag_operator import SubDagOperator
from airflow.operators.sensors import SqlSensor
from airflow.hooks.postgres_hook import PostgresHook

from airflow.operators.python_operator import PythonOperator

from airflow.models import Variable, DAG

metaskills

$ sudo apt-get install wget
$ sudo apt-get install build-essential
$ sudo apt-get install libc6-dev

$ wget ftp://ftp.freetds.org/pub/freetds/stable/freetds-1.00.27.tar.gz
$ tar -xzf freetds-1.00.27.tar.gz
$ cd freetds-1.00.27
$ ./configure --prefix=/usr/local --with-tdsver=7.3
$ make
$ make install

rahul-pande

# Airflow Operator to download results of a sql query to a file on the worker
# Pass chunksize parameter to download large tables without the 
# worker running out of memory

import logging

from airflow.hooks.postgres_hook import PostgresHook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults

erikbern

# Note – this is not a bash script (some of the steps require reboot)
# I named it .sh just so Github does correct syntax highlighting.
#
# This is also available as an AMI in us-east-1 (virginia): ami-cf5028a5
#
# The CUDA part is mostly based on this excellent blog post:
# http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/

# Install various packages
sudo apt-get update

SavvyGuard

import boto
import boto.s3

import os.path
import sys

# Fill these in - you get them when you sign up for S3
AWS_ACCESS_KEY_ID = ''
AWS_ACCESS_KEY_SECRET = ''
# Fill in info on data to upload

prggmr

def does_exist(tbl, where = None, where_field = 'id'):
    """Builds a MySQL SELECT statement
    """
    where_clause = "WHERE `%s` = %%s" % where_field
    query = "SELECT COUNT(`id`) AS total FROM %s %s" % (
        tbl, where_clause
    )
    cur.execute(query, (where,))
    return cur.rownumber != 0