# linux/amd64
curl -Lo lytics https://github.com/lytics/lytics/releases/download/latest/lytics_linux \
  && chmod +x lytics \
  && sudo mv lytics /usr/local/bin/

# darwin/amd64
curl -Lo lytics https://github.com/lytics/lytics/releases/download/latest/lytics_mac \
  && chmod +x lytics \
  && sudo mv lytics /usr/local/bin/

git clone https://github.com/lytics/lytics.git
go build
go install

go get -u github.com/lytics/lytics

export LIOKEY="your_api_key"
lytics --help

# Scan a segment by id
lytics segment scan ab93a9801a72871d689342556b0de2e9 | jq '.'

# Scan a segment by slug
lytics segment scan last_2_hours | jq '.'

# write out this segment to a temp file so we can play with JQ
lytics segment scan last_2_hours > /tmp/users.json

# same thing but with an "ad hoc query"
lytics segment scan '
FILTER AND (
    lastvisit_ts > "now-2d"
    EXISTS email
)
FROM user
' > /tmp/users.json

# use JQ to output a few fields
cat /tmp/users.json | \
 jq -c ' {country: .country, city: .city, org: .org, uid: ._uid, visitct: .visitct} '

# create a CSV file from these users
echo "country,city,org,uid,visitct\n" > /tmp/users.csv
cat /tmp/users.json | \
 jq -r ' [ .country, .city, .org,  ._uid, .visitct ] | @csv ' >> /tmp/users.csv

# get your API key from the web app account settings screen
export LIOKEY="your_api_key"

cd /path/to/your/project

# create an LQL file
# - utilize the Lytics app "Data -> Data Streams" section to see
#   data fields you are sending to Lytics.

# you can create this in an editor as well
echo '
SELECT
   user_id,
   name,
   todate(ts),
   match("user.") AS user_attributes,
   map(event, todate(ts))   as event_times   KIND map[string]time  MERGEOP LATEST

FROM default
INTO USER
BY user_id
ALIAS my_query
' > default.lql


# start watching
lytics schema queries watch .

# now edit JSON results of how data is interpreted is output

# get your API key from web app account settings
export LIOKEY="your_api_key"

cd /tmp

# start watching in background
lytics schema queries watch &

# create an LQL file
echo '
SELECT
   user_id,
   name,
   todate(ts),
   match("user.") AS user_attributes,
   map(event, todate(ts))   as event_times   KIND map[string]time  MERGEOP LATEST

FROM data
INTO USER
BY user_id
ALIAS hello
' > hello.lql

# Create an array of JSON events to feed into LQL query
echo '[
    {"user_id":"dump123","name":"Down With","company":"Trump", "event":"project.create", "ts":"2016-11-09"},
    {"user_id":"another234","name":"No More","company":"Trump", "event":"project.signup","user.city":"Portland","user.state":"Or", "ts":"2016-11-09"}
]' > hello.json

# replace {your model name here} with target_audience::source_audience

# generates tables
lytics segmentml --output all {your model name here}
lytics segmentml --output features {your model name here}
lytics segmentml --output predictions {your model name here}
lytics segmentml --output overview {your model name here}

# for CSV output
lytics --format csv segmentml --output all {your model name here}

# for JSON
lytics --format json segmentml --output all {your model name here}