Compare keys of array in RUBY - ruby

I have this structure:
$ArrayX = [8349310431,8349314513,......]
$ArrayY = [667984788,667987788,......]
$ArrayZ = [148507632380,153294624079,.....]
$range_map = $ArrayX.zip([$ArrayY.map(&:to_i),
$ArrayZ.map(&:to_i)].transpose).sort
puts $range_map ={[8349310431=>[667984788, 148507632380],
8349314513=>[667987788, 153294624079]}
I need the key to be compared with the rest of the keys and if the subtraction between keys is lower than 100, that key to print

I corrected your code also as per your need, and solved further,
$ArrayX = [8349310431,8349314513]
$ArrayY = [667984788,667987788]
$ArrayZ = [148507632380,153294624079]
$range_map = $ArrayX.zip([$ArrayY.map(&:to_i), $ArrayZ.map(&:to_i)].transpose).sort
$ArrayX = [8349310431,8349314513]
=> [8349310431, 8349314513]
$ArrayY = [667984788,667987788]
=> [667984788, 667987788]
$ArrayZ = [148507632380,153294624079]
=> [148507632380, 153294624079]
$range_map = Hash[$ArrayX.zip([$ArrayY.map(&:to_i), $ArrayZ.map(&:to_i)].transpose).sort]
=> {8349310431=>[667984788, 148507632380], 8349314513=>[667987788, 153294624079]}
keys = $range_map.keys
valid_keys = keys.select { |k| keys.detect { |x| (x-k).abs > 100 } }
$range_map.slice(*valid_keys)
If particular key is having difference more than 100 with one of rest of keys then it will be valid for filtering.

Related

Loop for with the same key value(LUA)

local config = {
['dog'] = {amount = 500},
['dog'] = {amount = 600},
['dog'] = {amount = 700},
}
for k,v in pairs(config) do
print(v)
end
Output: table:0x244b890 - (500)
How to output all values from the table? Is it possible with the same keys?
I don't think it's possible, because in Lua tables, the keys are unique. So, I am afraid you have to use another way to represent your data.
local config = {
{ 'dog', amount = 500 },
{ 'dog', amount = 600 },
{ 'dog', amount = 700 }
}
for Index = 1, #config do
print(config[Index].amount)
end
The result will be:
500
600
700

Get Group sum not using group.Sum() in linq

The following query works, but I want to get the same result without using grp.Sum(). Can we do it?
from item in (await VehicleReplaceCostDataAsync())
group item by (item.type, item.size, item.ADA, item.eseq) into grp
orderby (grp.Key.eseq, grp.Key.size, grp.Key.ADA)
select new VehicleReplacementCost
{
type = grp.Key.type,
size = grp.Key.size,
ADA = grp.Key.ADA,
count = grp.Sum(x => x.count),
cost = grp.Sum(x => x.cost),
Fcount = grp.Sum(x => x.Fcount),
Fcost = grp.Sum(x => x.Fcost),
eseq = grp.Key.eseq,
}).ToList();
Perhaps by using .Aggregate()? [docs]
count = grp.Aggregate(0, (a, b) => a + b.count)
Thanks for the answer from Astrid. It looks like a good one, but I didn't test it. My colleague gave this solution instead by using yield:
var groups = costs
.GroupBy(type => (type.SystemId, type.Type, type.Size, type.ADA, type.Eseq))
.OrderBy(group => (group.Key.SystemId, group.Key.Eseq, group.Key.Size, group.Key.ADA));
foreach (var group in groups)
{
var result = new ProgramGuideVehicleCostRow
{
SystemId = group.Key.SystemId,
Type = group.Key.Type,
Size = group.Key.Size,
ADA = group.Key.ADA,
};
foreach (var row in group)
{
result.Cost += row.Cost;
result.Fcost += row.Fcost;
result.Count += row.Count;
result.Fcount += row.Fcount;
}
yield return result;
}

Google Analytics API ruby client - multiple metrics

I'm using the google API ruby client and I want to implement some more complex analytics queries such as suggested in this document
https://developers.google.com/analytics/devguides/reporting/core/v3/common-queries
This document suggests that metrics can be supplied as a comma delimited string of multiple metrics but the API client only accepts an expression.
How can I query on multiple metrics in a single query? The ruby client appears only to accept an expression which generally consists of a single metric such as sessions or pageviews like this:
metric = Google::Apis::AnalyticsreportingV4::Metric.new(expression: 'ga:sessions')
If I remove "expression" and enter a list of metrics I just get an error.
Invalid value 'ga:sessions;ga:pageviews' for metric parameter.
Here is my solution, together with a generic method for reporting Google Analytics data:
This answer should be read in conjunction with https://developers.google.com/drive/v3/web/quickstart/ruby
analytics = Google::Apis::AnalyticsreportingV4::AnalyticsReportingService.new
analytics.client_options.application_name = APPLICATION_NAME
analytics.authorization = authorize
def get_analytics_data( analytics,
view_id,
start_date: (Date.today + 1 - Date.today.wday) - 6,
end_date: (Date.today + 1 - Date.today.wday),
metrics: ['ga:sessions'],
dimensions: [],
order_bys: [],
segments: nil, # array of hashes
filter: nil,
page_size: nil )
get_reports_request_object = Google::Apis::AnalyticsreportingV4::GetReportsRequest.new
report_request_object = Google::Apis::AnalyticsreportingV4::ReportRequest.new
report_request_object.view_id = view_id
analytics_date_range_object = Google::Apis::AnalyticsreportingV4::DateRange.new
analytics_date_range_object.start_date = start_date
analytics_date_range_object.end_date = end_date
report_request_object.date_ranges = [analytics_date_range_object]
# report_request_metrics = []
report_request_object.metrics = []
metrics.each { |metric|
analytics_metric_object = Google::Apis::AnalyticsreportingV4::Metric.new
analytics_metric_object.expression = metric
report_request_object.metrics.push(analytics_metric_object) }
# report_request_object.metrics = report_request_metrics
unless dimensions.empty?
report_request_object.dimensions = []
dimensions.each { |dimension|
analytics_dimension_object = Google::Apis::AnalyticsreportingV4::Dimension.new
analytics_dimension_object.name = dimension
report_request_object.dimensions.push(analytics_dimension_object) }
end
unless segments.nil?
report_request_object.segments = []
analytics_segment_object = Google::Apis::AnalyticsreportingV4::Segment.new
analytics_dynamic_segment_object = Google::Apis::AnalyticsreportingV4::DynamicSegment.new
analytics_segment_definition_object = Google::Apis::AnalyticsreportingV4::SegmentDefinition.new
analytics_segment_filter_object = Google::Apis::AnalyticsreportingV4::SegmentFilter.new
analytics_simple_segment_object = Google::Apis::AnalyticsreportingV4::SimpleSegment.new
analytics_or_filters_for_segment_object = Google::Apis::AnalyticsreportingV4::OrFiltersForSegment.new
analytics_segment_filter_clause_object = Google::Apis::AnalyticsreportingV4::SegmentFilterClause.new
analytics_segment_metric_filter_object = Google::Apis::AnalyticsreportingV4::SegmentMetricFilter.new
analytics_dimension_object = Google::Apis::AnalyticsreportingV4::Dimension.new
analytics_dimension_object.name = 'ga:segment'
report_request_object.dimensions.push(analytics_dimension_object)
analytics_or_filters_for_segment_object.segment_filter_clauses = []
analytics_simple_segment_object.or_filters_for_segment = []
analytics_segment_definition_object.segment_filters = []
segments.each { |segment|
analytics_segment_metric_filter_object.metric_name = segment[:metric_name]
analytics_segment_metric_filter_object.comparison_value = segment[:comparison_value]
analytics_segment_metric_filter_object.operator = segment[:operator]
analytics_segment_filter_clause_object.metric_filter = analytics_segment_metric_filter_object
analytics_or_filters_for_segment_object.segment_filter_clauses.push(analytics_segment_filter_clause_object)
analytics_simple_segment_object.or_filters_for_segment.push(analytics_or_filters_for_segment_object)
analytics_segment_filter_object.simple_segment = analytics_simple_segment_object
analytics_segment_definition_object.segment_filters.push(analytics_segment_filter_object)
analytics_dynamic_segment_object.name = segment[:name]
analytics_dynamic_segment_object.session_segment = analytics_segment_definition_object
analytics_segment_object.dynamic_segment = analytics_dynamic_segment_object
report_request_object.segments.push(analytics_segment_object) }
end
unless order_bys.empty?
report_request_object.order_bys = []
order_bys.each { |orderby|
analytics_orderby_object = Google::Apis::AnalyticsreportingV4::OrderBy.new
analytics_orderby_object.field_name = orderby
analytics_orderby_object.sort_order = 'DESCENDING'
report_request_object.order_bys.push(analytics_orderby_object)}
end
unless filter.nil?
report_request_object.filters_expression = filter
end
unless page_size.nil?
report_request_object.page_size = page_size
end
get_reports_request_object.report_requests = [report_request_object]
response = analytics.batch_get_reports(get_reports_request_object)
end
If using dimensions, you can report data like this:
response = get_analytics_data(analytics, VIEW_ID, metrics: ['ga:pageviews'], dimensions: ['ga:pagePath'], order_bys: ['ga:pageviews'], page_size: 25)
response.reports.first.data.rows.each do |row|
puts row.dimensions
puts row.metrics.first.values.first.to_i
puts
end

How to retrieve entire cost for a SoftLayer machine, including any extra costs such as bandwidth overages?

I've been retrieving monthly invoice cost information on our SoftLayer accounts for quite some time using the Ruby softlayer gem. However, there is a concern in the team that we may be missing certain costs, such as any overages on network utilization. I'd like to have some piece of mind that what I'm doing is correctly gathering all costs and we are not missing anything. Here is my code/query:
account = SoftLayer::Service.new("SoftLayer_Account",:username => user, :api_key => api_key, :timeout => 999999999)
softlayer_client = SoftLayer::Client.new(:username => user, :api_key => api_key, :timeout => 999999999)
billing_invoice_service = softlayer_client.service_named("Billing_Invoice")
object_filter = SoftLayer::ObjectFilter.new
object_filter.set_criteria_for_key_path('invoices.createDate', 'operation' => 'betweenDate', 'options' => [{'name' => 'startDate', 'value' => ["#{startTime}"]}, {'name' => 'endDate', 'value' => ["#{endTime}"]}])
# Set startDate and endDate around the beginning of the month in search of the "Recurring" invoice that should appear on the 1st.
invoices = account.result_limit(0,10000).object_filter(object_filter).object_mask("mask[id,typeCode,itemCount,invoiceTotalAmount,closedDate,createDate]").getInvoices
invoices.each do | invoice |
if invoice["typeCode"] == "RECURRING"
invoice_reference = billing_invoice_service.object_with_id(invoice["id"])
invoice_object = invoice_reference.object_mask("mask[itemCount]").getObject
billing_items_count = invoice_object["itemCount"]
billing_machines_map = Hash.new
all_billing_items = Array.new
# Search for billing items containing a hostName value.
# The corresponding billing item ID will become the key of a new hash.
# Child costs will be added to the existing costs.
billing_items_retrieval_operation = proc {
for i in 0..(billing_items_count/8000.0).ceil - 1
billing_items = invoice_reference.result_limit(i*8000, 8000).object_mask("mask[id,resourceTableId,billingItemId,parentId,categoryCode,hostName,domainName,hourlyRecurringFee,laborFee,oneTimeFee,recurringFee,recurringTaxAmount,setupFee,setupTaxAmount,location[name]]").getItems()
billing_items.each do | billing_item |
if billing_item["hostName"]
billing_machines_map[billing_item["id"]] = billing_item
end
end
all_billing_items.concat(billing_items)
end
}
# Look for items with parentIds or resourceTableIds.
# Both Ids represent a "parent" of the item.
# Give higher importance to parentId.
billing_items_retrieval_callback = proc {
cost_of_billing_items_without_parent = BigDecimal.new("0.00")
all_billing_items.each do | billing_item |
if billing_item["parentId"] != ""
parent_billing_machine = billing_machines_map[billing_item["parentId"]]
if parent_billing_machine parent_billing_machine["recurringFee"] = (BigDecimal.new(parent_billing_machine["recurringFee"]) + BigDecimal.new(billing_item["recurringFee"])).to_s('F')
parent_billing_machine["setupFee"] = (BigDecimal.new(parent_billing_machine["setupFee"]) + BigDecimal.new(billing_item["setupFee"])).to_s('F')
parent_billing_machine["laborFee"] = (BigDecimal.new(parent_billing_machine["laborFee"]) + BigDecimal.new(billing_item["laborFee"])).to_s('F')
parent_billing_machine["oneTimeFee"] = (BigDecimal.new(parent_billing_machine["oneTimeFee"]) + BigDecimal.new(billing_item["oneTimeFee"])).to_s('F')
end
elsif billing_item["resourceTableId"] != ""
parent_billing_machine = billing_machines_map[billing_item["resourceTableId"]]
if parent_billing_machine
parent_billing_machine["recurringFee"] = (BigDecimal.new(parent_billing_machine["recurringFee"]) + BigDecimal.new(billing_item["recurringFee"])).to_s('F')
parent_billing_machine["setupFee"] = (BigDecimal.new(parent_billing_machine["setupFee"]) + BigDecimal.new(billing_item["setupFee"])).to_s('F')
parent_billing_machine["laborFee"] = (BigDecimal.new(parent_billing_machine["laborFee"]) + BigDecimal.new(billing_item["laborFee"])).to_s('F')
parent_billing_machine["oneTimeFee"] = (BigDecimal.new(parent_billing_machine["oneTimeFee"]) + BigDecimal.new(billing_item["oneTimeFee"])).to_s('F')
end
else
cost_of_billing_items_without_parent = (BigDecimal.new(cost_of_billing_items_without_parent) + BigDecimal.new(billing_item["recurringFee"])).to_s('F')
cost_of_billing_items_without_parent = (BigDecimal.new(cost_of_billing_items_without_parent) + BigDecimal.new(billing_item["setupFee"])).to_s('F')
cost_of_billing_items_without_parent = (BigDecimal.new(cost_of_billing_items_without_parent) + BigDecimal.new(billing_item["laborFee"])).to_s('F')
cost_of_billing_items_without_parent = (BigDecimal.new(cost_of_billing_items_without_parent) + BigDecimal.new(billing_item["oneTimeFee"])).to_s('F')
end
end
pp "INVOICE: Total cost of devices for account without a parent is:"
pp cost_of_billing_items_without_parent
end
end
end
After the above I make calls to getVirtualGuests and getHardware to get some additional meta information for each machine (I tie them together based on billingItem.id. Example:
billingItemId = billing_machine["billingItemId"]
account_service = softlayer_client.service_named("Account")
filter = SoftLayer::ObjectFilter.new {|f| f.accept("virtualGuests.billingItem.id").when_it is(billingItemId)}
virtual_guests_array = account_service.object_filter(filter).object_mask("mask[id, hostname, datacenter[name], billingItem[orderItem[order[userRecord[username]]]], tagReferences[tagId, tag[name]], primaryIpAddress, primaryBackendIpAddress]").getVirtualGuests()
As you can see I don't make any calls to capture bandwith overage charges. I have printed out the various "category" values I get from the above query but I am not seeing anything specific to network utilization (it's possible there are no extra network utilization costs but I am not certain).
Thank you.
Any extra costs such as bandwidth overages will be included in the billing item from the server. So you don't need to make any other call to the api to get it.

Perl to Ruby conversion (multidimensional arrays)

I'm just trying to get my head around a multidimensional array creation from a perl script i'm currently converting to Ruby, I have 0 experience in Perl, as in i opened my first Perl script this morning.
Here is the original loop:
my $tl = {};
for my $zoom ($zoommin..$zoommax) {
my $txmin = lon2tilex($lonmin, $zoom);
my $txmax = lon2tilex($lonmax, $zoom);
# Note that y=0 is near lat=+85.0511 and y=max is near
# lat=-85.0511, so lat2tiley is monotonically decreasing.
my $tymin = lat2tiley($latmax, $zoom);
my $tymax = lat2tiley($latmin, $zoom);
my $ntx = $txmax - $txmin + 1;
my $nty = $tymax - $tymin + 1;
printf "Schedule %d (%d x %d) tiles for zoom level %d for download ...\n",
$ntx*$nty, $ntx, $nty, $zoom
unless $opt{quiet};
$tl->{$zoom} = [];
for my $tx ($txmin..$txmax) {
for my $ty ($tymin..$tymax) {
push #{$tl->{$zoom}},
{ xyz => [ $tx, $ty, $zoom ] };
}
}
}
and what i have so far in Ruby:
tl = []
for zoom in zoommin..zoommax
txmin = cm.tiles.xtile(lonmin,zoom)
txmax = cm.tiles.xtile(lonmax,zoom)
tymin = cm.tiles.ytile(latmax,zoom)
tymax = cm.tiles.ytile(latmin,zoom)
ntx = txmax - txmin + 1
nty = tymax - tymin + 1
tl[zoom] = []
for tx in txmin..txmax
for ty in tymin..tymax
tl[zoom] << xyz = [tx,ty,zoom]
puts tl
end
end
end
The part i'm unsure of is nested right at the root of the loops, push #{$tl->{$zoom}},{ xyz => [ $tx, $ty, $zoom ] };
I'm sure this will be very simple for a seasoned Perl programmer, thanks! `
The Perl code is building up a complex data structure in $tl -- hash, array, hash, array:
$tl{$zoom}[i]{xyz}[j] = $tx # j = 0
$tl{$zoom}[i]{xyz}[j] = $ty # j = 1
$tl{$zoom}[i]{xyz}[j] = $zoom # j = 2
So I think the key line in your Ruby code should be like this:
tl[zoom] << { 'xzy' => [tx,ty,zoom] }
Note also that the root item ($tl) refers to a hash in the Perl code, while your Ruby code initializes it to be an array. That difference might cause problems for you, depending on the values that $zoom takes.

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