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fix: resolve bugs from bash #1597

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merged 3 commits into from
Mar 23, 2023
Merged

fix: resolve bugs from bash #1597

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8d9d07d
fix: resolve bugs from bash
ColinBuyck Mar 21, 2023
0bae850
fix: paper app helper
ColinBuyck Mar 22, 2023
b34bb30
fix: refine helper
ColinBuyck Mar 22, 2023
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14 changes: 8 additions & 6 deletions backend/core/src/listings/listings-csv-exporter.service.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -37,7 +37,7 @@ export class ListingsCsvExporterService {
"Verified Date": formatDate(listing.verifiedAt, "MM-DD-YYYY hh:mm:ssA"),
"Last Updated": formatDate(listing.updatedAt, "MM-DD-YYYY hh:mm:ssA"),
"Listing Name": listing.name,
"Developer Property Owner": listing.property.developer,
"Developer/Property Owner": listing.property.developer,
"Street Address": listing.property.buildingAddress?.street,
City: listing.property.buildingAddress?.city,
State: listing.property.buildingAddress?.state,
Expand Down Expand Up @@ -99,7 +99,7 @@ export class ListingsCsvExporterService {
"Marketing Status": convertToTitleCase(listing.marketingType),
"Marketing Season": convertToTitleCase(listing.marketingSeason),
"Marketing Date": formatDate(listing.marketingDate, "YYYY"),
"Leasing Company": listing.managementCompany,
"Leasing Company": listing.leasingAgentName,
"Leasing Email": listing.leasingAgentEmail,
"Leasing Phone": listing.leasingAgentPhone,
"Leasing Agent Title": listing.leasingAgentTitle,
Expand All @@ -122,9 +122,9 @@ export class ListingsCsvExporterService {
"Digital Application": formatYesNo(listing.digitalApplication),
"Digital Application URL": listing.applicationMethods[1]?.externalReference,
"Paper Application": formatYesNo(listing.paperApplication),
"Paper Application URL": cloudinaryPdfFromId(
listing.applicationMethods[0]?.paperApplications[0]?.file?.fileId
),
"Paper Application URL": listing.applicationMethods[0]?.paperApplications
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.map((paperApplication) => cloudinaryPdfFromId(paperApplication.file?.fileId))
.join(", "),
"Partners Who Have Access": partnerAccessHelper[listing.id]?.join(", "),
}
})
Expand Down Expand Up @@ -152,7 +152,9 @@ export class ListingsCsvExporterService {
"Unit Types": listing.unitGroupSummary?.unitTypes
.map((unitType) => formatBedroom[unitType])
.join(", "),
"AMI Chart": listing.unitGroup?.amiLevels.map((level) => level.amiChart?.name).join(", "),
"AMI Chart": [
...new Set(listing.unitGroup?.amiLevels.map((level) => level.amiChart?.name)),
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this for sure works, I think its not the most efficient approach though.

could we instead use a .reduce here and verify uniqueness in the accumulator ourselves then join that together?

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@ColinBuyck ColinBuyck Mar 22, 2023 •
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So I had gone back and forth on this decision here in development... I was feeling that using reduce() as a filter/map replacement sacrifices more readability than it would gain in efficiency (if I'm understanding correctly that it would have a linear runtime either way, just one less iteration). The lack of readability is coming from my personal difficulty in reading reduce functions that aren't reducing an array to a single value as intended. Much of this was inspired by this video and basically summarized here. Can also recognize that using set in this way may be less readable than a map + filter combo which I could also do and would definitely pull out into a helper. I'm totally good to change this to any of these, but just wanted to get your thoughts on these pieces first and see what you'd prefer @YazeedLoonat

].join(", "),
"AMI Level": formatRange(
listing.unitGroupSummary?.amiPercentageRange?.min,
listing.unitGroupSummary?.amiPercentageRange?.max,
Expand Down