►
From YouTube: CHAOSS.Common.October.31.2019
Description
CHAOSS.Common.October.31.2019
A
A
A
So
Shawn
you
were
gonna,
provide
write
the
API,
endpoints
and
I
think
the
like,
not
just
for
common,
but
for
all
of
them
I'm
trying
to
really
get
people.
When
we
talk
about
tools
that
are
used
tools,
providing
the
metric
mm-hmm
to
not
just
say,
hey,
here's
a
link
to
like
were
more
lab
or
here's
a
link
to
our
Gurr,
but
being
a
little
bit
more
specific
in
terms
of
yep.
B
B
B
A
B
B
A
So
these
are
the
kind
I
think
is
you're
like
on
some
of
the
metrics
that
we're
gonna
release
like
for
version
2,
the
ones
that
were
released
the
first
time,
yeah
I
I,
might
be
pinging.
You
want
a
few
of
those
that
would
be
providing
kind
of
exactly
this
link
that
you
just
provided
me
yeah
and
we're
going
back
through
all.
A
A
A
B
A
A
A
A
A
B
B
A
A
B
I
mean
so
so
common
comments,
interest
in
date
and
geared
you
guys,
correct
me
if
I'm
wrong,
the
Commons
interest
in
date
is
using
it
to
understand
when
people
are
committing
and
then
what
time
zone
they
are
so
date
is
late,
is
sort
of
a
filter.
That's
spread
across
almost
every
metric.
That's
why
it's
common!
Yes,
sorry,
okay,
so
put
spicy
music,
but
it's
it!
It's
that
I
guess.
My
question
is
and
I'm
want
to
call
it.
B
A
C
One
of
the
reasons
we
start
at
the
common
metrics
working
group
is
because
we
had
metrics
that
didn't
really
quite
fit
all
the
other
working
groups
agreed.
We
have
some
date
related
metrics
like
we're,
not
people
contributing
that
is
not
clearly
evolution,
not
clearly
any
other
metrics
or
another
working
group.
So
that's
five
in
common.
B
A
B
Yeah,
okay,
I
guess
I
didn't
so.
When
we
talked
about
this
last
week,
I
didn't
realize
it
was
called
date
time
metric,
but
we've
been
talking
about
it
for
yeah,
so
I.
So,
what's
always
resonated
with
me
about
this.
Is
that
it's
the
time
zone?
That's
really
important
that
that
it's
not
actually
a
date
time
metric.
It's
a
it's
a
time
zone,
identification
metric
like
activity,
dates
and
times,
I
guess.
B
B
D
A
B
And
I'm
not
disagreeing
with
it,
because
I
have
any
particular
problem
with
it.
I'm
just
reflecting
on
the
conversations
that-
and
this
is
maybe,
where
being
being
involved
in
discussing
things
of
evolution
with
faces
for
so
long
I
may
be
into
color
like
prior
thinking
about
us,
but
we
distinguished-
and
maybe
here
you
can
speak
though
acacias
maybe
might
be
here,
but
we
distinguished
between
filters
and
metrics
and
time
was
a
filter.
B
So
what's
interesting
here,
though,
is
that
this
is
an
important
metric
when
you
talk
about
the
difference
between
UTC
time
and
local
time,
so
we're
saying
that
the
UTC
time
aggregations
and
the
local
time
aggregations
are
filters
in
this
case,
but
I
actually
think
that
those
are
essential
data
components
and
the
metric
itself.
In
other
words,
the
they're
not
really
filters
here.
They're
they're,
essential
pieces
of
the
metric,
because.
A
B
The
name
is
probably
okay,
I'm
processing,
this
little
bit
more
than
me,
I
think
just
hearing
that
name
activity
date,
sometimes
through
a
little
bit
but
reading
it
again.
This
is
this
is
about
localization
the
principle
questions
that
this
asks.
The
goal
question
metric
framework,
the
question
that
this
answers
is
what
time,
what
is
the
local
time
when
contributor
is
doing
their
work?
B
A
B
So
implicit
in
that
question,
though,
is
it's
being
used
as
I
understand
through
the
previous
discussions
to
estimate
or
guess
at
two
to
four
people
to
make
guesses
about
where
on
the
planet
someone's
doing
their
work,
like
that?
That
is
the
underlying
reason
that
this
metric
came
about
in
the
common
group,
and
here
you
can
color
that
in
if
you
want,
but
for
the
discussions
I've
been
in
with
common.
That
is
the
thing
that
people
are
trying
to
understand
through
this
I.
A
B
A
B
A
A
That
was,
we
decided.
So
as
part
of
this
conversation,
we
decided
that
from
an
organizational
perspective
that
was
too
hard
to
do
that
it
was
just.
There
were
just
limitations
on
trying
to
figure
out
where
employees
are
when
my
employees
are
contributing,
just
because
of
weird
servers
and
kind
of
how
things
function
on
the
internet.
B
So
this
is
this:
is
this
data
will
be
used
to
probabilistically
estimate
where
people
are
and
there's
going
to
be
a
recognition
that
it's
not
perfect,
but
that's
it.
You
know
that
people
want
this
yeah
and
that's
just
not
reflected,
and
that's
probably
fine,
because
all
the
people
who
are
going
to
lead
the
charge
building
it
understand
that.
However,
it
might
be
helpful
for
consumers
of
cast
metrics
to
know
that
that
context
exists,
and
maybe
maybe
that's
something-
the
Edit
to
the
description
after
this
post
is
merged.
Ok,.
A
C
D
B
A
A
A
So
in
there
there
are
things
like
date/time,
which
we
just
merged.
One
of
the.
So
are
there
other
things
in
this
list
that
would
be
considered,
perhaps
common
filters
or
common
metrics
that
could
be
applied
with
pull
requests,
issues
whatever
it
might
be,
and
the
clearly
committer
name
yep.
So,
author,
author
I,
think
there's.
B
C
B
C
A
Okay,
so
yeah
I
can
I
ring
this
in
just
a
little
bit
yeah,
so
just
I
mean
like
message
on
you
can't
come
to
these
calls
anymore.
Just
what
I'm
trying
to
do
is
just
like
the
havoc
level.
Things
in
this
list
and
I
will
give
you
my
exam
I'll,
give
you
what
I
wrote
down.
So
author
is
one
of
them
author.
Yes,
you
might
that's
a
author.
C
A
Author
or
whatever,
for
the
time
being
well
authoring,
200
are
two
different
people:
okay,
yes,
okay,
so
the
other.
The
other
thing
that
I
had
the
other
things
that
I
had
on
here
was
kind
of
the
construction
of
the
project,
and
so
one
of
the
things
that
is
in
these
rows
is
lines
files,
repository
branch
and
project,
which
I
think
is
organization
in
here,
so
because
there
could
be
a
pull
request.
A
B
B
C
A
A
B
A
It
doesn't
think
this
is
not
about
what
yet
when
which
is
the
square
meter,
what
we
had
talked
about
who?
What
when
and
then
where,
so,
where
the
I
think
it's
where
the
activity
is
occurring.
So,
if
I
look,
if
you
scroll
down
when
I
guess,
where
is
a
little
bit
different,
so
it'd
be
this
would
be
a
pull
this
up
put
it,
you
see
the
bottom
of
the
minutes.
There.
C
B
A
A
B
I
think
it's
it's!
So
when
it
comes
to
the
question
of
lines,
I
think
I
think
just
having
lines
in
a
commit
is
hard
to
understand.
Unless
you
know
like
knowing
the
number
of
files,
if
you're
just
listing
the
number
of
files,
then
that
is
I
think
as
far
as
you
can
go
for
usefully
describing
the
scope
of
a
commit
I.
B
Think
if
you
go
to
lines,
you
really
need
to
understand
which
pony
lines
are
changed
in
which
files
like
giving
squashing
the
there
now
to
two
layers
of
abstraction
away
from
the
scope
of
a
commit.
So,
for
example,
the
number
of
lines
in
a
javascript
file
is
going
to
be
it's
going
to
be
larger
in
general
than
the
number
lines
in
a
python
file
or
c
file
for
a
similar
scope
of
change.
C
And
so
grimore
lab
has
a
different
index,
the
areas
of
code
CSP
and
the
schema
document
where
it
does
store
specific
file,
name
file
path
and
what
changes
have
been
done
to
those
files.
So
it's
just
in
a
different
index
because
it
separates
out
from
the
commit
and
then
it
creates
for
each
commit
one
entry,
I
think
in
the
areas
of
code
index.
C
B
Well,
get
the
get,
log
does
include
the
files
changed
and
you
can
derive
than
alright
and
you
can
count
the
number
of
lines
in
each
file
from
the
git
log.
So
like
the
get
definition
that
you
have
there
for
elk
is
squashing
information.
That's
in
the
get
log
out
of
the
get
lon
and
it
sounds
like
you've
just
addressed
that
in
a
separate
file
which
is
called
what
again
the
areas.
C
B
A
B
A
Story:
I
agree.
Okay,
so
are
there
any?
Are
there
any
of
these
metrics?
When
you
look
at
this
list,
are
there
any?
Is
there
anything
else
that,
like
understanding
lines
or
repository
or
organization,
are
there
any
of
those
that
could
be
useful,
supplement
or
supplementary
metrics
or
filters
for
evolution
and
for
risk?
And
for
that's
what
Commons
trying
to
do?
Yeah
I
mean
I,
think
so,
like
the
CII
badge
in
risk?
That's
not
really
a
common
metric
because
it's
highly
localized
to
risk
and
there
could
have
some
play
in
in
other
areas.
B
B
B
Common
metrics,
so
I
mean
I,
think
like
files
changed
and
lines
of
code
change
are
very
similar.
I
think
Matt's
point
there
there
conceptually
identical
to
the
timezone
there
the
activity
date
time
question
things
would
be
in
the
act.
These
are
specifics
of
the.
What
the
people
I
think
will
be
interested
in.