adamf

import logging
from typing import Any, Dict

import ddtrace
from ddtrace import tracer


def datadog_context(
    logger: logging.Logger, log_method: Any, event_dict: Dict[Any, Any]
) -> Dict[Any, Any]:

adamf

#!/bin/bash
set -exu -o pipefail


# This script creates a highly-available VPN between a VPC in Google Cloud Platform 
# and a VPC in AWS.  This does all of the work (and a bit more) detailed in
# https://cloud.google.com/architecture/build-ha-vpn-connections-google-cloud-aws

export AWS_PAGER=""

adamf

#!/bin/bash
set -exu
PLATFORM=$(uname)

# If the minikube cluster doesn't exist, the return code is 7
# we'll test this later to see if we need to do a bunch of initial setup on
# services (eg, create RBAC for k8s, create DB users, etc)

MINIKUBE_STATUS_GREP_NON_EXISTENT=0

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$ helm template q /Users/adamf/Source/Q/services/webapp/django-core-chart --set otherGlobalLabels.bar=foo
---
# Source: django-core-chart/templates/serviceaccount.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
  name: q-django-core-chart
  labels:

    helm.sh/chart: django-core-chart-0.1.0

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$ helm template q /Users/adamf/Source/Q/services/webapp/django-core-chart --set otherGlobalLabels.bar=foo
---
# Source: django-core-chart/templates/serviceaccount.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
  name: q-django-core-chart
  labels:

    helm.sh/chart: django-core-chart-0.1.0

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$ helm template q /Users/adamf/Source/Q/services/example-service/example-service-chart --set q-example-service-chart.metadata.metadata.labels.f=ff --set example-service-chart.labels.foo=bar
---
# Source: example-service-chart/templates/service.yaml
apiVersion: v1
kind: Service
metadata:
  name: q-example-service-chart
  labels:
    app.kubernetes.io/name: example-service-chart
    helm.sh/chart: example-service-chart-0.1.0

adamf

df = pd.read_csv("example.csv", parse_dates=True, infer_datetime_format=True)
df.starttime = pd.to_datetime(arg=df.starttime, infer_datetime_format=True)
df.index = pd.DatetimeIndex(df.starttime)
df['date_only'] = df.index.floor('1D')
df['2018-08-01':'2018-08-03'].groupby(['name','date_only','event_id']).event_count.sum()
start_date = datetime.date(2018, 8, 30)
df[start_date - pd.DateOffset(days=10):start_date].groupby(['name','date_only','event_id','event_sub_id']).event_count.sum()
df[start_date - pd.DateOffset(days=10):start_date].groupby(['name','date_only','event_id']).event_count.sum()[:10].to_csv()

adamf

json = require "json"

function get_framecount()
  return emu.framecount()
end

function get_p1_health()
  return mainmemory.read_u8(0x000530)
end

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machine:
  xcode:
    version: 8.3

dependencies:
  override:
    - source bin/setup_dev_env.sh

compile:
  override:

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import csv

import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--field', help='field number to output')
parser.add_argument('--filename', help='filename to parse')
args = parser.parse_args()

with open(args.filename) as csvfile:
    fields = csv.reader(csvfile)