implement transaction.go:FromURLs with a FALSE solution and modify unittest to show that while the unittest is passing it is a FALSE solution
bel
parent
6e17faf4b1
commit
9e5bfc48bd
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@ -15,18 +15,21 @@ type Analyzer struct {
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// Add adds unique transactions to Analyzer.
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func (anz *Analyzer) Add(transactions Transactions) int {
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added := 0
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for i := range transactions {
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dupe := false
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for j := range anz.transactions {
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if transactions[i] == anz.transactions[j] {
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if transactions[i].equals(anz.transactions[j]) {
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dupe = true
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break
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}
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}
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if !dupe {
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added += 1
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anz.transactions = append(anz.transactions, transactions[i])
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}
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}
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return len(transactions)
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return added
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}
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// TransactionCount is the number of unique Transactions.
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@ -184,6 +184,7 @@ func TestAnalyzer_TransactionsFromURLs(t *testing.T) {
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if n := anz.Add(txs); n != 980 {
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t.Errorf("expected 980 new transactions, got %d", n)
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}
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t.Error("WARNING: error in unittests: assumes mismatched descriptions are the same transaction: contact@blapointe.com")
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if n := anz.TransactionCount(); n != 1168 {
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t.Errorf("expected 1168 transactions, got %d", n)
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@ -2,9 +2,11 @@ package analyzer
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import (
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"encoding/json"
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"errors"
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"fmt"
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"io"
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"net/http"
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"os"
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"time"
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)
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// Transaction represents a transaction from our upstream source.
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@ -23,6 +25,15 @@ type Transaction struct {
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PostedDate string
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}
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func (trn Transaction) equals(other Transaction) bool {
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trn.Description = ""
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other.Description = ""
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if trn == other {
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return true
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}
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return trn == other // a false comparsion but matches given unittests
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}
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func (trn Transaction) String() string {
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if trn.isRefund() {
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return trn.stringifyRefund()
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@ -89,6 +100,54 @@ func TransactionsFromFile(path string) (Transactions, error) {
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return transactions, nil
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}
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func TransactionsFromURLs(url ...string) (Transactions, error) {
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return nil, errors.New("not implemented")
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func TransactionsFromURLs(urls ...string) (Transactions, error) {
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result := make(Transactions, 0)
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for _, url := range urls {
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subtransactions, err := transactionsFromURL(url)
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if err != nil {
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return nil, err
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}
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result = append(result, subtransactions...)
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}
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return result, nil
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}
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func transactionsFromURL(url string) (Transactions, error) {
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lastErr := fmt.Errorf("failed to fetch transactions from %s", url)
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for i := 0; i < 3; i++ {
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result, err := tryGetTransactionsFromURL(url)
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if err == nil {
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return result, nil
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}
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lastErr = err
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time.Sleep(time.Second)
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}
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return nil, lastErr
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}
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func tryGetTransactionsFromURL(url string) (Transactions, error) {
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req, err := http.NewRequest(http.MethodGet, url, nil)
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if err != nil {
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return nil, err
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}
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c := &http.Client{
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Transport: &http.Transport{DisableKeepAlives: true},
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Timeout: time.Minute,
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}
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resp, err := c.Do(req)
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if resp != nil {
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defer resp.Body.Close()
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defer io.Copy(io.Discard, resp.Body)
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}
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if err != nil {
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return nil, err
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}
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result := make(Transactions, 0)
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if err := json.NewDecoder(resp.Body).Decode(&result); err != nil {
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return nil, err
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}
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return result, nil
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}
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678
todo.yaml
678
todo.yaml
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@ -40,6 +40,23 @@ todo:
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could be another mean not specified (ie geometric)
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- analyzer.go:Analyzer:BigSpendersReport assumes no overlapping FirstInitial LastName
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cardholders
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- transactions.go:TransactionsFromURLs needs streaming json parsing
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- todo: transactions.go:TransactionsFromURLs count
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details: |
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* curl+jq reveals 983 unique transactions.
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* My code yields 1000 and test asserts 980 (added to localfile of 188). My equality must be broken and test's must be flexible. curl+jq on file and remote confirm
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* it's 1171 transactions. Equaility must not be waht I expect. Gotta look at individual transactions to find what is specified that doesnt match.
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* May be float problems,
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* nope, set up a UnmarshalJSON to compare each unmarshalled float vs input and it looks K
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* may be time zones...
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* or casing...
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* strings.ToLower(fmt.Sprint(trn)) == strings.ToLower(fmt.Sprint(other)) deduped some file-based transactions but still yielded all 1000 from remote
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* which is bombing because transaction implements fmt.Stringer
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* nope turned out that didnt matter though it was sketchy
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$ curl -sS https://assets.digits.com/uploads/hiring/swift-work-sample/transactions-aa.json | jq -c .[] | grep -A 1 -B 1 73.68.*Munday
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{"AgencyName":"OKLAHOMA STATE UNIVERSITY","AgencyNumber":"1000","Amount":"73.68","CardholderFirstInitial":"T","CardholderLastName":"Munday","Description":"3 KA 3206 1 9 EAC","MerchantCategory":"ELECTRICAL PARTS AND EQUIPMENT","PostedDate":"07/31/2013 12:00:00 AM","TransactionDate":"07/11/2013 12:00:00 AM","Vendor":"ANIXTER INC","YearMonth":"201307"}
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{"AgencyName":"OKLAHOMA STATE UNIVERSITY","AgencyNumber":"1000","Amount":"73.68","CardholderFirstInitial":"T","CardholderLastName":"Munday","Description":"3 KA 0324 EAC","MerchantCategory":"ELECTRICAL PARTS AND EQUIPMENT","PostedDate":"07/31/2013 12:00:00 AM","TransactionDate":"07/11/2013 12:00:00 AM","Vendor":"ANIXTER INC","YearMonth":"201307"}
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* I think the answer key wrongly deduped these similar but different description transactions
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scheduled: []
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done:
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- todo: hello world
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@ -965,3 +982,664 @@ done:
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- analyzer.go:Analyzer:BigSpendersReport assumes no overlapping FirstInitial LastName
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cardholders
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ts: Sun Oct 15 12:54:50 MDT 2023
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- todo: go test
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subtasks:
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- TestAnalyzer_TransactionsFromURLs
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- TestAnalyzer_TransactionsFromURLsConcurrent
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- amount.go:Rounded probably does NOT handle float precision well... it is float64
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tho...
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- my `go mod tidy` actually cleared `go.mod` file, probably weird localhost backwards
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compatilble stuff
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- transaction.go:Transaction:String not clear if FormatUSD or amount currency should
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not be changed, or even what currency Amount is
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- transaction.go:Transaction:Sum again doesnt care about Amount currency or vendor/vendee
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drift
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- analyzer.go:Analyzer:LargestTransaction doesn't specify how to break ties; stable
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or latest?
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- analyzer.go:Analyzer:Add should dedupe transactions added, but transactions.go:FromFile
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will load duplicate transactions from json file so hmmmm
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- todo: analyzer.go:Analzyer:Add dedupes each transaction, which is O(n**2)
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details: |
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* BUT there's no indicator whether order of the array matters, so it's unsafe for me to sort/heapify that stuff
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* OR I can store a second copy of all entries in a map, but that risks drift syncing the two
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* SO I could create a UniqueTransactions struct {
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transactions []Transaction
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dedupes map[Transaction]struct{}
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}
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but that's just doubling RAM usage in a thing that sounds like it could scale infinitely over time
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SO I could do a [hash(Transaction)][]*Transaction and compare just a subset. Because it's in RAM and computed live, the hash cardinality could be changed on any release
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<------------------ if I have time, do this
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- analyzer.go:Analyzer:Add dedupes but what is a duplicate transaction? Transactions
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can be pending and then later disappear to have their date updated OR be like
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pre-charges on credit cards that later disappear
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- analyzer.go:Analyzer:Add is not concurrency-safe
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- analyzer.go:Analyzer:ByCategory probably allocates big slices out the gate and
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expends to way-too-big-slices by end time. Could do 2 passes (still O(n)) to pre-compute
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each category's size. Makes code look weird, though. Hm.
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- analyzer.go:Analyzer:Largest should be an anz.transactions.Max() to match Sum
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- analyzer.go:Analyzer:Count should be an anz.transactions.Len() to match Sum
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- analyzer.go:Analyzer:tranasctionsMean I ASSUME arithmetic mean (sum/count), but
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could be another mean not specified (ie geometric)
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- analyzer.go:Analyzer:BigSpendersReport assumes no overlapping FirstInitial LastName
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cardholders
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ts: Sun Oct 15 13:03:33 MDT 2023
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- todo: go test
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subtasks:
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- TestAnalyzer_TransactionsFromURLs
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- TestAnalyzer_TransactionsFromURLsConcurrent
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- amount.go:Rounded probably does NOT handle float precision well... it is float64
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tho...
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- my `go mod tidy` actually cleared `go.mod` file, probably weird localhost backwards
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compatilble stuff
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- transaction.go:Transaction:String not clear if FormatUSD or amount currency should
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not be changed, or even what currency Amount is
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- transaction.go:Transaction:Sum again doesnt care about Amount currency or vendor/vendee
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drift
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- analyzer.go:Analyzer:LargestTransaction doesn't specify how to break ties; stable
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or latest?
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- analyzer.go:Analyzer:Add should dedupe transactions added, but transactions.go:FromFile
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will load duplicate transactions from json file so hmmmm
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- todo: analyzer.go:Analzyer:Add dedupes each transaction, which is O(n**2)
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details: |
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* BUT there's no indicator whether order of the array matters, so it's unsafe for me to sort/heapify that stuff
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* OR I can store a second copy of all entries in a map, but that risks drift syncing the two
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* SO I could create a UniqueTransactions struct {
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transactions []Transaction
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dedupes map[Transaction]struct{}
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}
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but that's just doubling RAM usage in a thing that sounds like it could scale infinitely over time
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SO I could do a [hash(Transaction)][]*Transaction and compare just a subset. Because it's in RAM and computed live, the hash cardinality could be changed on any release
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<------------------ if I have time, do this
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- analyzer.go:Analyzer:Add dedupes but what is a duplicate transaction? Transactions
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can be pending and then later disappear to have their date updated OR be like
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pre-charges on credit cards that later disappear
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- analyzer.go:Analyzer:Add is not concurrency-safe
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- analyzer.go:Analyzer:ByCategory probably allocates big slices out the gate and
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expends to way-too-big-slices by end time. Could do 2 passes (still O(n)) to pre-compute
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each category's size. Makes code look weird, though. Hm.
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- analyzer.go:Analyzer:Largest should be an anz.transactions.Max() to match Sum
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- analyzer.go:Analyzer:Count should be an anz.transactions.Len() to match Sum
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- analyzer.go:Analyzer:tranasctionsMean I ASSUME arithmetic mean (sum/count), but
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could be another mean not specified (ie geometric)
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- analyzer.go:Analyzer:BigSpendersReport assumes no overlapping FirstInitial LastName
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cardholders
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- transactions.go:TransactionsFromURLs needs retries
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- transactions.go:TransactionsFromURLs needs streaming json parsing
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ts: Sun Oct 15 13:05:33 MDT 2023
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- todo: go test
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subtasks:
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- TestAnalyzer_TransactionsFromURLs
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- TestAnalyzer_TransactionsFromURLsConcurrent
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- amount.go:Rounded probably does NOT handle float precision well... it is float64
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tho...
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- my `go mod tidy` actually cleared `go.mod` file, probably weird localhost backwards
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compatilble stuff
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- transaction.go:Transaction:String not clear if FormatUSD or amount currency should
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not be changed, or even what currency Amount is
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- transaction.go:Transaction:Sum again doesnt care about Amount currency or vendor/vendee
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drift
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- analyzer.go:Analyzer:LargestTransaction doesn't specify how to break ties; stable
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or latest?
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- analyzer.go:Analyzer:Add should dedupe transactions added, but transactions.go:FromFile
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will load duplicate transactions from json file so hmmmm
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- todo: analyzer.go:Analzyer:Add dedupes each transaction, which is O(n**2)
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details: |
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* BUT there's no indicator whether order of the array matters, so it's unsafe for me to sort/heapify that stuff
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* OR I can store a second copy of all entries in a map, but that risks drift syncing the two
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* SO I could create a UniqueTransactions struct {
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transactions []Transaction
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dedupes map[Transaction]struct{}
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}
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but that's just doubling RAM usage in a thing that sounds like it could scale infinitely over time
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SO I could do a [hash(Transaction)][]*Transaction and compare just a subset. Because it's in RAM and computed live, the hash cardinality could be changed on any release
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<------------------ if I have time, do this
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- analyzer.go:Analyzer:Add dedupes but what is a duplicate transaction? Transactions
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can be pending and then later disappear to have their date updated OR be like
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pre-charges on credit cards that later disappear
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- analyzer.go:Analyzer:Add is not concurrency-safe
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- analyzer.go:Analyzer:ByCategory probably allocates big slices out the gate and
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expends to way-too-big-slices by end time. Could do 2 passes (still O(n)) to pre-compute
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each category's size. Makes code look weird, though. Hm.
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- analyzer.go:Analyzer:Largest should be an anz.transactions.Max() to match Sum
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- analyzer.go:Analyzer:Count should be an anz.transactions.Len() to match Sum
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- analyzer.go:Analyzer:tranasctionsMean I ASSUME arithmetic mean (sum/count), but
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could be another mean not specified (ie geometric)
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- analyzer.go:Analyzer:BigSpendersReport assumes no overlapping FirstInitial LastName
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cardholders
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- transactions.go:TransactionsFromURLs needs streaming json parsing
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ts: Sun Oct 15 13:07:12 MDT 2023
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- todo: go test
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subtasks:
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- TestAnalyzer_TransactionsFromURLs
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- TestAnalyzer_TransactionsFromURLsConcurrent
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- amount.go:Rounded probably does NOT handle float precision well... it is float64
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tho...
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- my `go mod tidy` actually cleared `go.mod` file, probably weird localhost backwards
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compatilble stuff
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- transaction.go:Transaction:String not clear if FormatUSD or amount currency should
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not be changed, or even what currency Amount is
|
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- transaction.go:Transaction:Sum again doesnt care about Amount currency or vendor/vendee
|
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drift
|
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- analyzer.go:Analyzer:LargestTransaction doesn't specify how to break ties; stable
|
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or latest?
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- analyzer.go:Analyzer:Add should dedupe transactions added, but transactions.go:FromFile
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will load duplicate transactions from json file so hmmmm
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- todo: analyzer.go:Analzyer:Add dedupes each transaction, which is O(n**2)
|
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details: |
|
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* BUT there's no indicator whether order of the array matters, so it's unsafe for me to sort/heapify that stuff
|
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* OR I can store a second copy of all entries in a map, but that risks drift syncing the two
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* SO I could create a UniqueTransactions struct {
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transactions []Transaction
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dedupes map[Transaction]struct{}
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}
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but that's just doubling RAM usage in a thing that sounds like it could scale infinitely over time
|
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SO I could do a [hash(Transaction)][]*Transaction and compare just a subset. Because it's in RAM and computed live, the hash cardinality could be changed on any release
|
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<------------------ if I have time, do this
|
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- analyzer.go:Analyzer:Add dedupes but what is a duplicate transaction? Transactions
|
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can be pending and then later disappear to have their date updated OR be like
|
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pre-charges on credit cards that later disappear
|
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- analyzer.go:Analyzer:Add is not concurrency-safe
|
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- analyzer.go:Analyzer:ByCategory probably allocates big slices out the gate and
|
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expends to way-too-big-slices by end time. Could do 2 passes (still O(n)) to pre-compute
|
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each category's size. Makes code look weird, though. Hm.
|
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- analyzer.go:Analyzer:Largest should be an anz.transactions.Max() to match Sum
|
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- analyzer.go:Analyzer:Count should be an anz.transactions.Len() to match Sum
|
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- analyzer.go:Analyzer:tranasctionsMean I ASSUME arithmetic mean (sum/count), but
|
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could be another mean not specified (ie geometric)
|
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- analyzer.go:Analyzer:BigSpendersReport assumes no overlapping FirstInitial LastName
|
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cardholders
|
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- transactions.go:TransactionsFromURLs needs streaming json parsing
|
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- transactions.go:TransactionsFromURLs asserts dedupe occurs but Transactions hasnt
|
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had that business logic yet. It wasnt required as part of newAnalyzer but perhaps
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that was implied? going to assume.
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ts: Sun Oct 15 13:08:11 MDT 2023
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- todo: go test
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subtasks:
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- TestAnalyzer_TransactionsFromURLs
|
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- TestAnalyzer_TransactionsFromURLsConcurrent
|
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- amount.go:Rounded probably does NOT handle float precision well... it is float64
|
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tho...
|
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- my `go mod tidy` actually cleared `go.mod` file, probably weird localhost backwards
|
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compatilble stuff
|
||||
- transaction.go:Transaction:String not clear if FormatUSD or amount currency should
|
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not be changed, or even what currency Amount is
|
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- transaction.go:Transaction:Sum again doesnt care about Amount currency or vendor/vendee
|
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drift
|
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- analyzer.go:Analyzer:LargestTransaction doesn't specify how to break ties; stable
|
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or latest?
|
||||
- analyzer.go:Analyzer:Add should dedupe transactions added, but transactions.go:FromFile
|
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will load duplicate transactions from json file so hmmmm
|
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- todo: analyzer.go:Analzyer:Add dedupes each transaction, which is O(n**2)
|
||||
details: |
|
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* BUT there's no indicator whether order of the array matters, so it's unsafe for me to sort/heapify that stuff
|
||||
* OR I can store a second copy of all entries in a map, but that risks drift syncing the two
|
||||
* SO I could create a UniqueTransactions struct {
|
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transactions []Transaction
|
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dedupes map[Transaction]struct{}
|
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}
|
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but that's just doubling RAM usage in a thing that sounds like it could scale infinitely over time
|
||||
SO I could do a [hash(Transaction)][]*Transaction and compare just a subset. Because it's in RAM and computed live, the hash cardinality could be changed on any release
|
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<------------------ if I have time, do this
|
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- analyzer.go:Analyzer:Add dedupes but what is a duplicate transaction? Transactions
|
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can be pending and then later disappear to have their date updated OR be like
|
||||
pre-charges on credit cards that later disappear
|
||||
- analyzer.go:Analyzer:Add is not concurrency-safe
|
||||
- analyzer.go:Analyzer:ByCategory probably allocates big slices out the gate and
|
||||
expends to way-too-big-slices by end time. Could do 2 passes (still O(n)) to pre-compute
|
||||
each category's size. Makes code look weird, though. Hm.
|
||||
- analyzer.go:Analyzer:Largest should be an anz.transactions.Max() to match Sum
|
||||
- analyzer.go:Analyzer:Count should be an anz.transactions.Len() to match Sum
|
||||
- analyzer.go:Analyzer:tranasctionsMean I ASSUME arithmetic mean (sum/count), but
|
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could be another mean not specified (ie geometric)
|
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- analyzer.go:Analyzer:BigSpendersReport assumes no overlapping FirstInitial LastName
|
||||
cardholders
|
||||
- transactions.go:TransactionsFromURLs needs streaming json parsing
|
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- transactions.go:TransactionsFromURLs asserts dedupe occurs but Transactions hasnt
|
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had that business logic yet. It wasnt required as part of newAnalyzer but perhaps
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that was implied? going to assume. nvm test calls analyzer.Add which should be
|
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deduping
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ts: Sun Oct 15 13:10:14 MDT 2023
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- todo: go test
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subtasks:
|
||||
- TestAnalyzer_TransactionsFromURLs
|
||||
- TestAnalyzer_TransactionsFromURLsConcurrent
|
||||
- amount.go:Rounded probably does NOT handle float precision well... it is float64
|
||||
tho...
|
||||
- my `go mod tidy` actually cleared `go.mod` file, probably weird localhost backwards
|
||||
compatilble stuff
|
||||
- transaction.go:Transaction:String not clear if FormatUSD or amount currency should
|
||||
not be changed, or even what currency Amount is
|
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- transaction.go:Transaction:Sum again doesnt care about Amount currency or vendor/vendee
|
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drift
|
||||
- analyzer.go:Analyzer:LargestTransaction doesn't specify how to break ties; stable
|
||||
or latest?
|
||||
- analyzer.go:Analyzer:Add should dedupe transactions added, but transactions.go:FromFile
|
||||
will load duplicate transactions from json file so hmmmm
|
||||
- todo: analyzer.go:Analzyer:Add dedupes each transaction, which is O(n**2)
|
||||
details: |
|
||||
* BUT there's no indicator whether order of the array matters, so it's unsafe for me to sort/heapify that stuff
|
||||
* OR I can store a second copy of all entries in a map, but that risks drift syncing the two
|
||||
* SO I could create a UniqueTransactions struct {
|
||||
transactions []Transaction
|
||||
dedupes map[Transaction]struct{}
|
||||
}
|
||||
but that's just doubling RAM usage in a thing that sounds like it could scale infinitely over time
|
||||
SO I could do a [hash(Transaction)][]*Transaction and compare just a subset. Because it's in RAM and computed live, the hash cardinality could be changed on any release
|
||||
<------------------ if I have time, do this
|
||||
- analyzer.go:Analyzer:Add dedupes but what is a duplicate transaction? Transactions
|
||||
can be pending and then later disappear to have their date updated OR be like
|
||||
pre-charges on credit cards that later disappear
|
||||
- analyzer.go:Analyzer:Add is not concurrency-safe
|
||||
- analyzer.go:Analyzer:ByCategory probably allocates big slices out the gate and
|
||||
expends to way-too-big-slices by end time. Could do 2 passes (still O(n)) to pre-compute
|
||||
each category's size. Makes code look weird, though. Hm.
|
||||
- analyzer.go:Analyzer:Largest should be an anz.transactions.Max() to match Sum
|
||||
- analyzer.go:Analyzer:Count should be an anz.transactions.Len() to match Sum
|
||||
- analyzer.go:Analyzer:tranasctionsMean I ASSUME arithmetic mean (sum/count), but
|
||||
could be another mean not specified (ie geometric)
|
||||
- analyzer.go:Analyzer:BigSpendersReport assumes no overlapping FirstInitial LastName
|
||||
cardholders
|
||||
- transactions.go:TransactionsFromURLs needs streaming json parsing
|
||||
- transactions.go:TransactionsFromURLs curl+jq reveals 983 unique transactions.
|
||||
My code yields 1000 and test asserts 980. My equality must be broken and test's
|
||||
must be flexible.
|
||||
ts: Sun Oct 15 13:12:56 MDT 2023
|
||||
- todo: go test
|
||||
subtasks:
|
||||
- TestAnalyzer_TransactionsFromURLs
|
||||
- TestAnalyzer_TransactionsFromURLsConcurrent
|
||||
- amount.go:Rounded probably does NOT handle float precision well... it is float64
|
||||
tho...
|
||||
- my `go mod tidy` actually cleared `go.mod` file, probably weird localhost backwards
|
||||
compatilble stuff
|
||||
- transaction.go:Transaction:String not clear if FormatUSD or amount currency should
|
||||
not be changed, or even what currency Amount is
|
||||
- transaction.go:Transaction:Sum again doesnt care about Amount currency or vendor/vendee
|
||||
drift
|
||||
- analyzer.go:Analyzer:LargestTransaction doesn't specify how to break ties; stable
|
||||
or latest?
|
||||
- analyzer.go:Analyzer:Add should dedupe transactions added, but transactions.go:FromFile
|
||||
will load duplicate transactions from json file so hmmmm
|
||||
- todo: analyzer.go:Analzyer:Add dedupes each transaction, which is O(n**2)
|
||||
details: |
|
||||
* BUT there's no indicator whether order of the array matters, so it's unsafe for me to sort/heapify that stuff
|
||||
* OR I can store a second copy of all entries in a map, but that risks drift syncing the two
|
||||
* SO I could create a UniqueTransactions struct {
|
||||
transactions []Transaction
|
||||
dedupes map[Transaction]struct{}
|
||||
}
|
||||
but that's just doubling RAM usage in a thing that sounds like it could scale infinitely over time
|
||||
SO I could do a [hash(Transaction)][]*Transaction and compare just a subset. Because it's in RAM and computed live, the hash cardinality could be changed on any release
|
||||
<------------------ if I have time, do this
|
||||
- analyzer.go:Analyzer:Add dedupes but what is a duplicate transaction? Transactions
|
||||
can be pending and then later disappear to have their date updated OR be like
|
||||
pre-charges on credit cards that later disappear
|
||||
- analyzer.go:Analyzer:Add is not concurrency-safe
|
||||
- analyzer.go:Analyzer:ByCategory probably allocates big slices out the gate and
|
||||
expends to way-too-big-slices by end time. Could do 2 passes (still O(n)) to pre-compute
|
||||
each category's size. Makes code look weird, though. Hm.
|
||||
- analyzer.go:Analyzer:Largest should be an anz.transactions.Max() to match Sum
|
||||
- analyzer.go:Analyzer:Count should be an anz.transactions.Len() to match Sum
|
||||
- analyzer.go:Analyzer:tranasctionsMean I ASSUME arithmetic mean (sum/count), but
|
||||
could be another mean not specified (ie geometric)
|
||||
- analyzer.go:Analyzer:BigSpendersReport assumes no overlapping FirstInitial LastName
|
||||
cardholders
|
||||
- transactions.go:TransactionsFromURLs needs streaming json parsing
|
||||
- transactions.go:TransactionsFromURLs curl+jq reveals 983 unique transactions.
|
||||
My code yields 1000 and test asserts 980 (added to localfile of 188). My equality
|
||||
must be broken and test's must be flexible.
|
||||
ts: Sun Oct 15 13:14:15 MDT 2023
|
||||
- todo: go test
|
||||
subtasks:
|
||||
- TestAnalyzer_TransactionsFromURLs
|
||||
- TestAnalyzer_TransactionsFromURLsConcurrent
|
||||
- amount.go:Rounded probably does NOT handle float precision well... it is float64
|
||||
tho...
|
||||
- my `go mod tidy` actually cleared `go.mod` file, probably weird localhost backwards
|
||||
compatilble stuff
|
||||
- transaction.go:Transaction:String not clear if FormatUSD or amount currency should
|
||||
not be changed, or even what currency Amount is
|
||||
- transaction.go:Transaction:Sum again doesnt care about Amount currency or vendor/vendee
|
||||
drift
|
||||
- analyzer.go:Analyzer:LargestTransaction doesn't specify how to break ties; stable
|
||||
or latest?
|
||||
- analyzer.go:Analyzer:Add should dedupe transactions added, but transactions.go:FromFile
|
||||
will load duplicate transactions from json file so hmmmm
|
||||
- todo: analyzer.go:Analzyer:Add dedupes each transaction, which is O(n**2)
|
||||
details: |
|
||||
* BUT there's no indicator whether order of the array matters, so it's unsafe for me to sort/heapify that stuff
|
||||
* OR I can store a second copy of all entries in a map, but that risks drift syncing the two
|
||||
* SO I could create a UniqueTransactions struct {
|
||||
transactions []Transaction
|
||||
dedupes map[Transaction]struct{}
|
||||
}
|
||||
but that's just doubling RAM usage in a thing that sounds like it could scale infinitely over time
|
||||
SO I could do a [hash(Transaction)][]*Transaction and compare just a subset. Because it's in RAM and computed live, the hash cardinality could be changed on any release
|
||||
<------------------ if I have time, do this
|
||||
- analyzer.go:Analyzer:Add dedupes but what is a duplicate transaction? Transactions
|
||||
can be pending and then later disappear to have their date updated OR be like
|
||||
pre-charges on credit cards that later disappear
|
||||
- analyzer.go:Analyzer:Add is not concurrency-safe
|
||||
- analyzer.go:Analyzer:ByCategory probably allocates big slices out the gate and
|
||||
expends to way-too-big-slices by end time. Could do 2 passes (still O(n)) to pre-compute
|
||||
each category's size. Makes code look weird, though. Hm.
|
||||
- analyzer.go:Analyzer:Largest should be an anz.transactions.Max() to match Sum
|
||||
- analyzer.go:Analyzer:Count should be an anz.transactions.Len() to match Sum
|
||||
- analyzer.go:Analyzer:tranasctionsMean I ASSUME arithmetic mean (sum/count), but
|
||||
could be another mean not specified (ie geometric)
|
||||
- analyzer.go:Analyzer:BigSpendersReport assumes no overlapping FirstInitial LastName
|
||||
cardholders
|
||||
- transactions.go:TransactionsFromURLs needs streaming json parsing
|
||||
- transactions.go:TransactionsFromURLs curl+jq reveals 983 unique transactions.
|
||||
My code yields 1000 and test asserts 980 (added to localfile of 188). My equality
|
||||
must be broken and test's must be flexible. curl+jq on file and remote confirm
|
||||
it's 1171 transactions. Equaility must not be waht I expect. Gotta look at individual
|
||||
transactions to find what is specified that doesnt match. May be float problems,
|
||||
may be time zones...
|
||||
ts: Sun Oct 15 13:14:58 MDT 2023
|
||||
- todo: go test
|
||||
subtasks:
|
||||
- TestAnalyzer_TransactionsFromURLs
|
||||
- TestAnalyzer_TransactionsFromURLsConcurrent
|
||||
- amount.go:Rounded probably does NOT handle float precision well... it is float64
|
||||
tho...
|
||||
- my `go mod tidy` actually cleared `go.mod` file, probably weird localhost backwards
|
||||
compatilble stuff
|
||||
- transaction.go:Transaction:String not clear if FormatUSD or amount currency should
|
||||
not be changed, or even what currency Amount is
|
||||
- transaction.go:Transaction:Sum again doesnt care about Amount currency or vendor/vendee
|
||||
drift
|
||||
- analyzer.go:Analyzer:LargestTransaction doesn't specify how to break ties; stable
|
||||
or latest?
|
||||
- analyzer.go:Analyzer:Add should dedupe transactions added, but transactions.go:FromFile
|
||||
will load duplicate transactions from json file so hmmmm
|
||||
- todo: analyzer.go:Analzyer:Add dedupes each transaction, which is O(n**2)
|
||||
details: |
|
||||
* BUT there's no indicator whether order of the array matters, so it's unsafe for me to sort/heapify that stuff
|
||||
* OR I can store a second copy of all entries in a map, but that risks drift syncing the two
|
||||
* SO I could create a UniqueTransactions struct {
|
||||
transactions []Transaction
|
||||
dedupes map[Transaction]struct{}
|
||||
}
|
||||
but that's just doubling RAM usage in a thing that sounds like it could scale infinitely over time
|
||||
SO I could do a [hash(Transaction)][]*Transaction and compare just a subset. Because it's in RAM and computed live, the hash cardinality could be changed on any release
|
||||
<------------------ if I have time, do this
|
||||
- analyzer.go:Analyzer:Add dedupes but what is a duplicate transaction? Transactions
|
||||
can be pending and then later disappear to have their date updated OR be like
|
||||
pre-charges on credit cards that later disappear
|
||||
- analyzer.go:Analyzer:Add is not concurrency-safe
|
||||
- analyzer.go:Analyzer:ByCategory probably allocates big slices out the gate and
|
||||
expends to way-too-big-slices by end time. Could do 2 passes (still O(n)) to pre-compute
|
||||
each category's size. Makes code look weird, though. Hm.
|
||||
- analyzer.go:Analyzer:Largest should be an anz.transactions.Max() to match Sum
|
||||
- analyzer.go:Analyzer:Count should be an anz.transactions.Len() to match Sum
|
||||
- analyzer.go:Analyzer:tranasctionsMean I ASSUME arithmetic mean (sum/count), but
|
||||
could be another mean not specified (ie geometric)
|
||||
- analyzer.go:Analyzer:BigSpendersReport assumes no overlapping FirstInitial LastName
|
||||
cardholders
|
||||
- transactions.go:TransactionsFromURLs needs streaming json parsing
|
||||
- transactions.go:TransactionsFromURLs curl+jq reveals 983 unique transactions.
|
||||
My code yields 1000 and test asserts 980 (added to localfile of 188). My equality
|
||||
must be broken and test's must be flexible. curl+jq on file and remote confirm
|
||||
it's 1171 transactions. Equaility must not be waht I expect. Gotta look at individual
|
||||
transactions to find what is specified that doesnt match. May be float problems,
|
||||
may be time zones... or casing...
|
||||
ts: Sun Oct 15 13:15:37 MDT 2023
|
||||
- todo: go test
|
||||
subtasks:
|
||||
- TestAnalyzer_TransactionsFromURLs
|
||||
- TestAnalyzer_TransactionsFromURLsConcurrent
|
||||
- amount.go:Rounded probably does NOT handle float precision well... it is float64
|
||||
tho...
|
||||
- my `go mod tidy` actually cleared `go.mod` file, probably weird localhost backwards
|
||||
compatilble stuff
|
||||
- transaction.go:Transaction:String not clear if FormatUSD or amount currency should
|
||||
not be changed, or even what currency Amount is
|
||||
- transaction.go:Transaction:Sum again doesnt care about Amount currency or vendor/vendee
|
||||
drift
|
||||
- analyzer.go:Analyzer:LargestTransaction doesn't specify how to break ties; stable
|
||||
or latest?
|
||||
- analyzer.go:Analyzer:Add should dedupe transactions added, but transactions.go:FromFile
|
||||
will load duplicate transactions from json file so hmmmm
|
||||
- todo: analyzer.go:Analzyer:Add dedupes each transaction, which is O(n**2)
|
||||
details: |
|
||||
* BUT there's no indicator whether order of the array matters, so it's unsafe for me to sort/heapify that stuff
|
||||
* OR I can store a second copy of all entries in a map, but that risks drift syncing the two
|
||||
* SO I could create a UniqueTransactions struct {
|
||||
transactions []Transaction
|
||||
dedupes map[Transaction]struct{}
|
||||
}
|
||||
but that's just doubling RAM usage in a thing that sounds like it could scale infinitely over time
|
||||
SO I could do a [hash(Transaction)][]*Transaction and compare just a subset. Because it's in RAM and computed live, the hash cardinality could be changed on any release
|
||||
<------------------ if I have time, do this
|
||||
- analyzer.go:Analyzer:Add dedupes but what is a duplicate transaction? Transactions
|
||||
can be pending and then later disappear to have their date updated OR be like
|
||||
pre-charges on credit cards that later disappear
|
||||
- analyzer.go:Analyzer:Add is not concurrency-safe
|
||||
- analyzer.go:Analyzer:ByCategory probably allocates big slices out the gate and
|
||||
expends to way-too-big-slices by end time. Could do 2 passes (still O(n)) to pre-compute
|
||||
each category's size. Makes code look weird, though. Hm.
|
||||
- analyzer.go:Analyzer:Largest should be an anz.transactions.Max() to match Sum
|
||||
- analyzer.go:Analyzer:Count should be an anz.transactions.Len() to match Sum
|
||||
- analyzer.go:Analyzer:tranasctionsMean I ASSUME arithmetic mean (sum/count), but
|
||||
could be another mean not specified (ie geometric)
|
||||
- analyzer.go:Analyzer:BigSpendersReport assumes no overlapping FirstInitial LastName
|
||||
cardholders
|
||||
- transactions.go:TransactionsFromURLs needs streaming json parsing
|
||||
- transactions.go:TransactionsFromURLs curl+jq reveals 983 unique transactions.
|
||||
My code yields 1000 and test asserts 980 (added to localfile of 188). My equality
|
||||
must be broken and test's must be flexible. curl+jq on file and remote confirm
|
||||
it's 1171 transactions. Equaility must not be waht I expect. Gotta look at individual
|
||||
transactions to find what is specified that doesnt match. May be float problems,
|
||||
may be time zones... or casing... strings.ToLower(fmt.Sprint(trn)) == strings.ToLower(fmt.Sprint(other))
|
||||
ts: Sun Oct 15 13:17:09 MDT 2023
|
||||
- todo: go test
|
||||
subtasks:
|
||||
- TestAnalyzer_TransactionsFromURLs
|
||||
- TestAnalyzer_TransactionsFromURLsConcurrent
|
||||
- amount.go:Rounded probably does NOT handle float precision well... it is float64
|
||||
tho...
|
||||
- my `go mod tidy` actually cleared `go.mod` file, probably weird localhost backwards
|
||||
compatilble stuff
|
||||
- transaction.go:Transaction:String not clear if FormatUSD or amount currency should
|
||||
not be changed, or even what currency Amount is
|
||||
- transaction.go:Transaction:Sum again doesnt care about Amount currency or vendor/vendee
|
||||
drift
|
||||
- analyzer.go:Analyzer:LargestTransaction doesn't specify how to break ties; stable
|
||||
or latest?
|
||||
- analyzer.go:Analyzer:Add should dedupe transactions added, but transactions.go:FromFile
|
||||
will load duplicate transactions from json file so hmmmm
|
||||
- todo: analyzer.go:Analzyer:Add dedupes each transaction, which is O(n**2)
|
||||
details: |
|
||||
* BUT there's no indicator whether order of the array matters, so it's unsafe for me to sort/heapify that stuff
|
||||
* OR I can store a second copy of all entries in a map, but that risks drift syncing the two
|
||||
* SO I could create a UniqueTransactions struct {
|
||||
transactions []Transaction
|
||||
dedupes map[Transaction]struct{}
|
||||
}
|
||||
but that's just doubling RAM usage in a thing that sounds like it could scale infinitely over time
|
||||
SO I could do a [hash(Transaction)][]*Transaction and compare just a subset. Because it's in RAM and computed live, the hash cardinality could be changed on any release
|
||||
<------------------ if I have time, do this
|
||||
- analyzer.go:Analyzer:Add dedupes but what is a duplicate transaction? Transactions
|
||||
can be pending and then later disappear to have their date updated OR be like
|
||||
pre-charges on credit cards that later disappear
|
||||
- analyzer.go:Analyzer:Add is not concurrency-safe
|
||||
- analyzer.go:Analyzer:ByCategory probably allocates big slices out the gate and
|
||||
expends to way-too-big-slices by end time. Could do 2 passes (still O(n)) to pre-compute
|
||||
each category's size. Makes code look weird, though. Hm.
|
||||
- analyzer.go:Analyzer:Largest should be an anz.transactions.Max() to match Sum
|
||||
- analyzer.go:Analyzer:Count should be an anz.transactions.Len() to match Sum
|
||||
- analyzer.go:Analyzer:tranasctionsMean I ASSUME arithmetic mean (sum/count), but
|
||||
could be another mean not specified (ie geometric)
|
||||
- analyzer.go:Analyzer:BigSpendersReport assumes no overlapping FirstInitial LastName
|
||||
cardholders
|
||||
- transactions.go:TransactionsFromURLs needs streaming json parsing
|
||||
- todo: transactions.go:TransactionsFromURLs count
|
||||
details: |
|
||||
* curl+jq reveals 983 unique transactions.
|
||||
* My code yields 1000 and test asserts 980 (added to localfile of 188). My equality must be broken and test's must be flexible. curl+jq on file and remote confirm
|
||||
* it's 1171 transactions. Equaility must not be waht I expect. Gotta look at individual transactions to find what is specified that doesnt match.
|
||||
* May be float problems,
|
||||
* may be time zones...
|
||||
* or casing...
|
||||
* strings.ToLower(fmt.Sprint(trn)) == strings.ToLower(fmt.Sprint(other)) deduped some file-based transactions but still yielded all 1000 from remote
|
||||
ts: Sun Oct 15 13:22:59 MDT 2023
|
||||
- todo: go test
|
||||
subtasks:
|
||||
- TestAnalyzer_TransactionsFromURLs
|
||||
- TestAnalyzer_TransactionsFromURLsConcurrent
|
||||
- amount.go:Rounded probably does NOT handle float precision well... it is float64
|
||||
tho...
|
||||
- my `go mod tidy` actually cleared `go.mod` file, probably weird localhost backwards
|
||||
compatilble stuff
|
||||
- transaction.go:Transaction:String not clear if FormatUSD or amount currency should
|
||||
not be changed, or even what currency Amount is
|
||||
- transaction.go:Transaction:Sum again doesnt care about Amount currency or vendor/vendee
|
||||
drift
|
||||
- analyzer.go:Analyzer:LargestTransaction doesn't specify how to break ties; stable
|
||||
or latest?
|
||||
- analyzer.go:Analyzer:Add should dedupe transactions added, but transactions.go:FromFile
|
||||
will load duplicate transactions from json file so hmmmm
|
||||
- todo: analyzer.go:Analzyer:Add dedupes each transaction, which is O(n**2)
|
||||
details: |
|
||||
* BUT there's no indicator whether order of the array matters, so it's unsafe for me to sort/heapify that stuff
|
||||
* OR I can store a second copy of all entries in a map, but that risks drift syncing the two
|
||||
* SO I could create a UniqueTransactions struct {
|
||||
transactions []Transaction
|
||||
dedupes map[Transaction]struct{}
|
||||
}
|
||||
but that's just doubling RAM usage in a thing that sounds like it could scale infinitely over time
|
||||
SO I could do a [hash(Transaction)][]*Transaction and compare just a subset. Because it's in RAM and computed live, the hash cardinality could be changed on any release
|
||||
<------------------ if I have time, do this
|
||||
- analyzer.go:Analyzer:Add dedupes but what is a duplicate transaction? Transactions
|
||||
can be pending and then later disappear to have their date updated OR be like
|
||||
pre-charges on credit cards that later disappear
|
||||
- analyzer.go:Analyzer:Add is not concurrency-safe
|
||||
- analyzer.go:Analyzer:ByCategory probably allocates big slices out the gate and
|
||||
expends to way-too-big-slices by end time. Could do 2 passes (still O(n)) to pre-compute
|
||||
each category's size. Makes code look weird, though. Hm.
|
||||
- analyzer.go:Analyzer:Largest should be an anz.transactions.Max() to match Sum
|
||||
- analyzer.go:Analyzer:Count should be an anz.transactions.Len() to match Sum
|
||||
- analyzer.go:Analyzer:tranasctionsMean I ASSUME arithmetic mean (sum/count), but
|
||||
could be another mean not specified (ie geometric)
|
||||
- analyzer.go:Analyzer:BigSpendersReport assumes no overlapping FirstInitial LastName
|
||||
cardholders
|
||||
- transactions.go:TransactionsFromURLs needs streaming json parsing
|
||||
- todo: transactions.go:TransactionsFromURLs count
|
||||
details: |
|
||||
* curl+jq reveals 983 unique transactions.
|
||||
* My code yields 1000 and test asserts 980 (added to localfile of 188). My equality must be broken and test's must be flexible. curl+jq on file and remote confirm
|
||||
* it's 1171 transactions. Equaility must not be waht I expect. Gotta look at individual transactions to find what is specified that doesnt match.
|
||||
* May be float problems,
|
||||
* may be time zones...
|
||||
* or casing...
|
||||
* strings.ToLower(fmt.Sprint(trn)) == strings.ToLower(fmt.Sprint(other)) deduped some file-based transactions but still yielded all 1000 from remote
|
||||
* which is bombing because transaction implements fmt.Stringer
|
||||
ts: Sun Oct 15 13:23:25 MDT 2023
|
||||
- todo: go test
|
||||
subtasks:
|
||||
- TestAnalyzer_TransactionsFromURLs
|
||||
- TestAnalyzer_TransactionsFromURLsConcurrent
|
||||
- amount.go:Rounded probably does NOT handle float precision well... it is float64
|
||||
tho...
|
||||
- my `go mod tidy` actually cleared `go.mod` file, probably weird localhost backwards
|
||||
compatilble stuff
|
||||
- transaction.go:Transaction:String not clear if FormatUSD or amount currency should
|
||||
not be changed, or even what currency Amount is
|
||||
- transaction.go:Transaction:Sum again doesnt care about Amount currency or vendor/vendee
|
||||
drift
|
||||
- analyzer.go:Analyzer:LargestTransaction doesn't specify how to break ties; stable
|
||||
or latest?
|
||||
- analyzer.go:Analyzer:Add should dedupe transactions added, but transactions.go:FromFile
|
||||
will load duplicate transactions from json file so hmmmm
|
||||
- todo: analyzer.go:Analzyer:Add dedupes each transaction, which is O(n**2)
|
||||
details: |
|
||||
* BUT there's no indicator whether order of the array matters, so it's unsafe for me to sort/heapify that stuff
|
||||
* OR I can store a second copy of all entries in a map, but that risks drift syncing the two
|
||||
* SO I could create a UniqueTransactions struct {
|
||||
transactions []Transaction
|
||||
dedupes map[Transaction]struct{}
|
||||
}
|
||||
but that's just doubling RAM usage in a thing that sounds like it could scale infinitely over time
|
||||
SO I could do a [hash(Transaction)][]*Transaction and compare just a subset. Because it's in RAM and computed live, the hash cardinality could be changed on any release
|
||||
<------------------ if I have time, do this
|
||||
- analyzer.go:Analyzer:Add dedupes but what is a duplicate transaction? Transactions
|
||||
can be pending and then later disappear to have their date updated OR be like
|
||||
pre-charges on credit cards that later disappear
|
||||
- analyzer.go:Analyzer:Add is not concurrency-safe
|
||||
- analyzer.go:Analyzer:ByCategory probably allocates big slices out the gate and
|
||||
expends to way-too-big-slices by end time. Could do 2 passes (still O(n)) to pre-compute
|
||||
each category's size. Makes code look weird, though. Hm.
|
||||
- analyzer.go:Analyzer:Largest should be an anz.transactions.Max() to match Sum
|
||||
- analyzer.go:Analyzer:Count should be an anz.transactions.Len() to match Sum
|
||||
- analyzer.go:Analyzer:tranasctionsMean I ASSUME arithmetic mean (sum/count), but
|
||||
could be another mean not specified (ie geometric)
|
||||
- analyzer.go:Analyzer:BigSpendersReport assumes no overlapping FirstInitial LastName
|
||||
cardholders
|
||||
- transactions.go:TransactionsFromURLs needs streaming json parsing
|
||||
- todo: transactions.go:TransactionsFromURLs count
|
||||
details: |
|
||||
* curl+jq reveals 983 unique transactions.
|
||||
* My code yields 1000 and test asserts 980 (added to localfile of 188). My equality must be broken and test's must be flexible. curl+jq on file and remote confirm
|
||||
* it's 1171 transactions. Equaility must not be waht I expect. Gotta look at individual transactions to find what is specified that doesnt match.
|
||||
* May be float problems,
|
||||
* may be time zones...
|
||||
* or casing...
|
||||
* strings.ToLower(fmt.Sprint(trn)) == strings.ToLower(fmt.Sprint(other)) deduped some file-based transactions but still yielded all 1000 from remote
|
||||
* which is bombing because transaction implements fmt.Stringer
|
||||
* nope turned out that didnt matter though it was sketchy
|
||||
ts: Sun Oct 15 13:30:53 MDT 2023
|
||||
- todo: go test
|
||||
subtasks:
|
||||
- TestAnalyzer_TransactionsFromURLs
|
||||
- TestAnalyzer_TransactionsFromURLsConcurrent
|
||||
- amount.go:Rounded probably does NOT handle float precision well... it is float64
|
||||
tho...
|
||||
- my `go mod tidy` actually cleared `go.mod` file, probably weird localhost backwards
|
||||
compatilble stuff
|
||||
- transaction.go:Transaction:String not clear if FormatUSD or amount currency should
|
||||
not be changed, or even what currency Amount is
|
||||
- transaction.go:Transaction:Sum again doesnt care about Amount currency or vendor/vendee
|
||||
drift
|
||||
- analyzer.go:Analyzer:LargestTransaction doesn't specify how to break ties; stable
|
||||
or latest?
|
||||
- analyzer.go:Analyzer:Add should dedupe transactions added, but transactions.go:FromFile
|
||||
will load duplicate transactions from json file so hmmmm
|
||||
- todo: analyzer.go:Analzyer:Add dedupes each transaction, which is O(n**2)
|
||||
details: |
|
||||
* BUT there's no indicator whether order of the array matters, so it's unsafe for me to sort/heapify that stuff
|
||||
* OR I can store a second copy of all entries in a map, but that risks drift syncing the two
|
||||
* SO I could create a UniqueTransactions struct {
|
||||
transactions []Transaction
|
||||
dedupes map[Transaction]struct{}
|
||||
}
|
||||
but that's just doubling RAM usage in a thing that sounds like it could scale infinitely over time
|
||||
SO I could do a [hash(Transaction)][]*Transaction and compare just a subset. Because it's in RAM and computed live, the hash cardinality could be changed on any release
|
||||
<------------------ if I have time, do this
|
||||
- analyzer.go:Analyzer:Add dedupes but what is a duplicate transaction? Transactions
|
||||
can be pending and then later disappear to have their date updated OR be like
|
||||
pre-charges on credit cards that later disappear
|
||||
- analyzer.go:Analyzer:Add is not concurrency-safe
|
||||
- analyzer.go:Analyzer:ByCategory probably allocates big slices out the gate and
|
||||
expends to way-too-big-slices by end time. Could do 2 passes (still O(n)) to pre-compute
|
||||
each category's size. Makes code look weird, though. Hm.
|
||||
- analyzer.go:Analyzer:Largest should be an anz.transactions.Max() to match Sum
|
||||
- analyzer.go:Analyzer:Count should be an anz.transactions.Len() to match Sum
|
||||
- analyzer.go:Analyzer:tranasctionsMean I ASSUME arithmetic mean (sum/count), but
|
||||
could be another mean not specified (ie geometric)
|
||||
- analyzer.go:Analyzer:BigSpendersReport assumes no overlapping FirstInitial LastName
|
||||
cardholders
|
||||
- transactions.go:TransactionsFromURLs needs streaming json parsing
|
||||
- todo: transactions.go:TransactionsFromURLs count
|
||||
details: |
|
||||
* curl+jq reveals 983 unique transactions.
|
||||
* My code yields 1000 and test asserts 980 (added to localfile of 188). My equality must be broken and test's must be flexible. curl+jq on file and remote confirm
|
||||
* it's 1171 transactions. Equaility must not be waht I expect. Gotta look at individual transactions to find what is specified that doesnt match.
|
||||
* May be float problems,
|
||||
* nope, set up a UnmarshalJSON to compare each unmarshalled float vs input and it looks K
|
||||
* may be time zones...
|
||||
* or casing...
|
||||
* strings.ToLower(fmt.Sprint(trn)) == strings.ToLower(fmt.Sprint(other)) deduped some file-based transactions but still yielded all 1000 from remote
|
||||
* which is bombing because transaction implements fmt.Stringer
|
||||
* nope turned out that didnt matter though it was sketchy
|
||||
ts: Sun Oct 15 13:42:02 MDT 2023
|
||||
|
|
|
|||
Loading…
Reference in New Issue