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package main
import (
"bytes"
"compress/gzip"
"crypto/sha256"
"encoding/csv"
"encoding/json"
"fmt"
"io"
"math"
"net/http"
"net/url"
"os"
"path/filepath"
"sort"
"strconv"
"strings"
"sync"
"time"
"lingniu/vehicle-data-platform/apps/api/internal/openplatform"
)
const (
baseURL = "http://115.29.187.205:20200"
hydrogenKWh = 16.0
)
type candidate struct {
VIN string `json:"vin"`
StatDate string `json:"stat_date"`
PlatformName string `json:"platform_name"`
DailyMileageKm float64 `json:"daily_mileage_km"`
RawTotal int `json:"raw_total"`
Plate string `json:"plate,omitempty"`
SampleNo int `json:"sample_no,omitempty"`
MileageBin int `json:"mileage_bin,omitempty"`
Model string `json:"model,omitempty"`
TankCapacityL float64 `json:"tank_capacity_l,omitempty"`
BatteryKWh float64 `json:"battery_capacity_kwh,omitempty"`
}
type capacityRecord struct {
VIN, Plate, Model string
TankCapacityL float64
Active int
}
type rawFrame struct {
TS string `json:"ts"`
FrameID string `json:"frame_id"`
EventID string `json:"event_id"`
MessageID int `json:"message_id"`
MessageIDHex string `json:"message_id_hex"`
EventTime string `json:"event_time"`
ReceivedAt string `json:"received_at"`
RawSizeBytes int `json:"raw_size_bytes"`
RawHex string `json:"raw_hex"`
ParsedFields map[string]any `json:"parsed_fields"`
ParseStatus string `json:"parse_status"`
SourceEndpoint string `json:"source_endpoint"`
Protocol string `json:"protocol"`
VIN string `json:"vin"`
}
type rawResponse struct {
Items []rawFrame `json:"items"`
Total int `json:"total"`
}
type dayOutput struct {
Candidate candidate `json:"candidate"`
APIRawFrameCount int `json:"apiRawFrameCount"`
UniqueFrameCount int `json:"uniqueFrameCount"`
DuplicateFrameCount int `json:"duplicateFrameCount"`
AlgorithmSamples int `json:"algorithmSamples"`
CriticalFieldRows int `json:"criticalFieldRows"`
EarliestEventTime string `json:"earliestEventTime"`
LatestEventTime string `json:"latestEventTime"`
RawArchiveFile string `json:"rawArchiveFile"`
RawArchiveSHA256 string `json:"rawArchiveSha256"`
RawArchiveBytes int64 `json:"rawArchiveBytes"`
Stat openplatform.HydrogenDailyStat `json:"stat"`
}
func main() {
if len(os.Args) != 5 && len(os.Args) != 6 {
panic("usage: audit <vehicle-metadata.json> <start-date> <end-date> <output-dir> [source-archive-dir]")
}
metadataPath, startDate, endDate, outputDir := os.Args[1], os.Args[2], os.Args[3], os.Args[4]
sourceArchiveDir := ""
if len(os.Args) == 6 {
sourceArchiveDir = os.Args[5]
}
start, err := time.Parse("2006-01-02", startDate)
if err != nil {
panic(err)
}
end, err := time.Parse("2006-01-02", endDate)
if err != nil || end.Before(start) {
panic("invalid date range")
}
var metadata []struct {
VIN string `json:"vin"`
Plate string `json:"plate"`
Model string `json:"model"`
TankCapacityL float64 `json:"tank_capacity_l"`
BatteryCapacityKWh float64 `json:"battery_capacity_kwh"`
}
mustReadJSON(metadataPath, &metadata)
if len(metadata) == 0 {
panic("vehicle metadata is empty")
}
selected := make([]candidate, 0, len(metadata)*int(end.Sub(start).Hours()/24+1))
for day := start; !day.After(end); day = day.AddDate(0, 0, 1) {
statDate := day.Format("2006-01-02")
for _, item := range metadata {
if len(strings.TrimSpace(item.VIN)) != 17 || item.TankCapacityL <= 0 || item.BatteryCapacityKWh <= 0 {
continue
}
selected = append(selected, candidate{
VIN: strings.ToUpper(strings.TrimSpace(item.VIN)), StatDate: statDate,
Plate: item.Plate, Model: item.Model, TankCapacityL: item.TankCapacityL,
BatteryKWh: item.BatteryCapacityKWh,
})
}
}
sort.Slice(selected, func(i, j int) bool {
if selected[i].StatDate != selected[j].StatDate {
return selected[i].StatDate < selected[j].StatDate
}
if selected[i].Plate != selected[j].Plate {
return selected[i].Plate < selected[j].Plate
}
return selected[i].VIN < selected[j].VIN
})
for index := range selected {
selected[index].SampleNo = index + 1
}
if sourceArchiveDir == "" {
for day := start; !day.After(end); day = day.AddDate(0, 0, 1) {
if err := os.MkdirAll(filepath.Join(outputDir, "raw", day.Format("2006-01-02")), 0o755); err != nil {
panic(err)
}
}
}
writeJSON(filepath.Join(outputDir, "selected_vehicles.json"), selected)
jobs := make(chan candidate)
results := make(chan dayOutput)
errs := make(chan error, len(selected))
var wg sync.WaitGroup
for i := 0; i < 12; i++ {
wg.Add(1)
go func() {
defer wg.Done()
for c := range jobs {
out, err := processDay(c, outputDir, sourceArchiveDir)
if err != nil {
errs <- err
continue
}
results <- out
}
}()
}
go func() {
for _, c := range selected {
jobs <- c
}
close(jobs)
wg.Wait()
close(results)
close(errs)
}()
outputs := make([]dayOutput, 0, len(selected))
for out := range results {
if out.APIRawFrameCount == 0 {
continue
}
outputs = append(outputs, out)
fmt.Fprintf(os.Stderr, "completed %03d %s %s raw=%d samples=%d quality=%s\n", out.Candidate.SampleNo, out.Candidate.Plate, out.Candidate.VIN, out.APIRawFrameCount, out.AlgorithmSamples, out.Stat.QualityStatus)
}
var allErrs []string
for err := range errs {
allErrs = append(allErrs, err.Error())
}
if len(allErrs) > 0 {
panic(strings.Join(allErrs, "\n"))
}
sort.Slice(outputs, func(i, j int) bool { return outputs[i].Candidate.SampleNo < outputs[j].Candidate.SampleNo })
writeJSON(filepath.Join(outputDir, "daily_results.json"), outputs)
writeManifest(filepath.Join(outputDir, "raw_manifest.csv"), outputs)
fmt.Printf("processed=%d raw_frames=%d algorithm_samples=%d intervals=%d\n", len(outputs), sumRaw(outputs), sumSamples(outputs), sumIntervals(outputs))
}
func stratifiedSelect(all []candidate, plateByVIN map[string]string, capacityByVIN map[string]capacityRecord) []candidate {
general, cold := make([]candidate, 0), make([]candidate, 0)
for _, c := range all {
cap, ok := capacityByVIN[strings.ToUpper(c.VIN)]
if !ok || cap.Active != 1 || c.DailyMileageKm < 10 || c.DailyMileageKm > 600 || c.RawTotal < 300 {
continue
}
if cap.Model != "4.5吨货车" && cap.Model != "帕力安牌4.5吨冷链车" {
continue
}
c.Plate = cap.Plate
if c.Plate == "" {
c.Plate = plateByVIN[strings.ToUpper(c.VIN)]
}
c.Model = cap.Model
c.TankCapacityL = cap.TankCapacityL
if cap.Model == "4.5吨货车" {
general = append(general, c)
} else {
cold = append(cold, c)
}
}
if len(general) < 41 || len(cold) < 59 {
panic(fmt.Sprintf("insufficient pools general=%d cold=%d", len(general), len(cold)))
}
selected := append(selectEvenly(general, 41), selectEvenly(cold, 59)...)
sort.Slice(selected, func(i, j int) bool {
if selected[i].DailyMileageKm != selected[j].DailyMileageKm {
return selected[i].DailyMileageKm < selected[j].DailyMileageKm
}
return selected[i].VIN < selected[j].VIN
})
for i := range selected {
selected[i].SampleNo = i + 1
selected[i].MileageBin = i/10 + 1
}
return selected
}
func selectEvenly(values []candidate, count int) []candidate {
sort.Slice(values, func(i, j int) bool {
if values[i].DailyMileageKm != values[j].DailyMileageKm {
return values[i].DailyMileageKm < values[j].DailyMileageKm
}
return values[i].VIN < values[j].VIN
})
out := make([]candidate, 0, count)
for i := 0; i < count; i++ {
idx := 0
if count > 1 {
idx = int(math.Round(float64(i) * float64(len(values)-1) / float64(count-1)))
}
out = append(out, values[idx])
}
return out
}
func processDay(c candidate, outputDir, sourceArchiveDir string) (dayOutput, error) {
archiveName := rawArchiveName(c)
archivePath := filepath.Join(outputDir, "raw", c.StatDate, archiveName)
readArchivePath := archivePath
if sourceArchiveDir != "" {
readArchivePath = filepath.Join(sourceArchiveDir, "raw", c.StatDate, archiveName)
if _, statErr := os.Stat(readArchivePath); os.IsNotExist(statErr) {
// Sample numbers depend on the selected vehicle/date set. Reuse an
// existing archive by its stable plate/VIN/date suffix when rerunning
// only a small subset for validation.
pattern := filepath.Join(sourceArchiveDir, "raw", c.StatDate, "*_"+c.Plate+"_"+c.VIN+"_"+c.StatDate+".csv.gz")
if matches, _ := filepath.Glob(pattern); len(matches) == 1 {
readArchivePath = matches[0]
}
}
}
frames := []rawFrame(nil)
total := 0
var err error
if _, statErr := os.Stat(readArchivePath); statErr == nil {
frames, err = readRawArchive(readArchivePath)
total = len(frames)
} else if sourceArchiveDir != "" && os.IsNotExist(statErr) {
return dayOutput{Candidate: c}, nil
} else {
for attempt := 1; attempt <= 3; attempt++ {
frames, total, err = fetchFrames(c.VIN, c.StatDate)
if err == nil {
break
}
if attempt < 3 {
time.Sleep(time.Duration(attempt) * time.Second)
}
}
}
if err != nil {
return dayOutput{}, fmt.Errorf("%s %s: %w", c.StatDate, c.VIN, err)
}
if total == 0 {
return dayOutput{Candidate: c}, nil
}
sort.SliceStable(frames, func(i, j int) bool {
if frames[i].EventTime != frames[j].EventTime {
return frames[i].EventTime < frames[j].EventTime
}
if frames[i].SourceEndpoint != frames[j].SourceEndpoint {
return frames[i].SourceEndpoint < frames[j].SourceEndpoint
}
return frames[i].TS < frames[j].TS
})
seen := map[string]bool{}
duplicateFrames := 0
observations := make([]openplatform.HydrogenObservation, 0, len(frames))
criticalRows := 0
for _, f := range frames {
if f.FrameID != "" {
if seen[f.FrameID] {
duplicateFrames++
}
seen[f.FrameID] = true
}
obs, ok, critical := observationFromFrame(f, c.TankCapacityL, c.StatDate)
if critical {
criticalRows++
}
if ok {
observations = append(observations, obs)
}
}
params := map[string]openplatform.HydrogenCalculationParameters{c.VIN: {BatteryCapacityKWh: c.BatteryKWh, HydrogenEnergyKWhKg: hydrogenKWh}}
stats := openplatform.BuildHydrogenDailyStatsOrderedWithParameters(observations, c.StatDate, 0.05, 20, params)
var stat openplatform.HydrogenDailyStat
if len(stats) == 1 {
stat = stats[0]
} else {
stat = openplatform.HydrogenDailyStat{VIN: c.VIN, Date: c.StatDate, SampleCount: len(observations), QualityStatus: "NO_DATA", QualityReason: "无有效压力温度样本"}
}
roles := map[string]string{}
for _, interval := range stat.Intervals {
appendRole(roles, interval.StartEventID, fmt.Sprintf("运行区间%d(%s)起点", interval.Index, interval.Type))
appendRole(roles, interval.EndEventID, fmt.Sprintf("运行区间%d(%s)终点", interval.Index, interval.Type))
}
for _, interval := range stat.HydrogenIntervals {
appendRole(roles, interval.StartEventID, fmt.Sprintf("氢量分段%d起点", interval.Index))
appendRole(roles, interval.EndEventID, fmt.Sprintf("氢量分段%d终点", interval.Index))
}
// Even when the original frames are reused, rewrite the audit CSV so its
// “计算角色/排除原因” column matches the current algorithm version and
// interval boundaries. The original HEX and parsed fields remain unchanged.
if sourceArchiveDir == "" {
if err := writeRawCSV(archivePath, c, frames, roles); err != nil {
return dayOutput{}, err
}
}
checksum, size, err := fileSHA256(readArchivePath)
if err != nil {
return dayOutput{}, err
}
out := dayOutput{Candidate: c, APIRawFrameCount: total, UniqueFrameCount: len(seen), DuplicateFrameCount: duplicateFrames, AlgorithmSamples: len(observations), CriticalFieldRows: criticalRows, RawArchiveFile: filepath.ToSlash(filepath.Join("raw", c.StatDate, archiveName)), RawArchiveSHA256: checksum, RawArchiveBytes: size, Stat: stat}
if len(frames) > 0 {
out.EarliestEventTime = frames[0].EventTime
out.LatestEventTime = frames[len(frames)-1].EventTime
}
return out, nil
}
func rawArchiveName(c candidate) string {
return fmt.Sprintf("%04d_%s_%s_%s.csv.gz", c.SampleNo, safeName(c.Plate), c.VIN, c.StatDate)
}
func appendRole(roles map[string]string, eventID, role string) {
if eventID == "" {
return
}
if roles[eventID] == "" {
roles[eventID] = role
return
}
roles[eventID] += "" + role
}
func fileSHA256(path string) (string, int64, error) {
file, err := os.Open(path)
if err != nil {
return "", 0, err
}
defer file.Close()
hash := sha256.New()
size, err := io.Copy(hash, file)
if err != nil {
return "", 0, err
}
return fmt.Sprintf("%x", hash.Sum(nil)), size, nil
}
func readRawArchive(path string) ([]rawFrame, error) {
file, err := os.Open(path)
if err != nil {
return nil, err
}
defer file.Close()
gz, err := gzip.NewReader(file)
if err != nil {
return nil, err
}
defer gz.Close()
reader := csv.NewReader(gz)
rows, err := reader.ReadAll()
if err != nil {
return nil, err
}
if len(rows) == 0 {
return nil, fmt.Errorf("empty raw archive %s", path)
}
columns := map[string]int{}
for index, name := range rows[0] {
columns[name] = index
}
cell := func(row []string, name string) string {
index, ok := columns[name]
if !ok || index >= len(row) {
return ""
}
return row[index]
}
frames := make([]rawFrame, 0, len(rows)-1)
for _, row := range rows[1:] {
fields := map[string]any{}
if rawFields := cell(row, "完整解析字段JSON"); rawFields != "" {
_ = json.Unmarshal([]byte(rawFields), &fields)
}
messageID, _ := strconv.Atoi(cell(row, "消息ID"))
rawSize, _ := strconv.Atoi(cell(row, "原始字节数"))
frames = append(frames, rawFrame{
FrameID: cell(row, "帧ID"), EventID: cell(row, "事件ID"), MessageID: messageID,
MessageIDHex: cell(row, "消息ID_HEX"), EventTime: cell(row, "事件时间"), ReceivedAt: cell(row, "接收时间"),
RawSizeBytes: rawSize, RawHex: cell(row, "原始报文HEX"), ParsedFields: fields,
ParseStatus: cell(row, "解析状态"), SourceEndpoint: cell(row, "源端点"), Protocol: "GB32960", VIN: cell(row, "VIN"),
})
}
return frames, nil
}
func fetchFrames(vin, statDate string) ([]rawFrame, int, error) {
const limit = 500
first, err := fetchPage(vin, statDate, 0, limit, true)
if err != nil {
return nil, 0, err
}
frames := append([]rawFrame(nil), first.Items...)
for offset := limit; offset < first.Total; offset += limit {
page, err := fetchPage(vin, statDate, offset, limit, false)
if err != nil {
return nil, 0, err
}
frames = append(frames, page.Items...)
}
if len(frames) != first.Total {
return nil, first.Total, fmt.Errorf("API total=%d fetched=%d", first.Total, len(frames))
}
return frames, first.Total, nil
}
func fetchPage(vin, statDate string, offset, limit int, includeTotal bool) (rawResponse, error) {
q := url.Values{"protocol": {"GB32960"}, "vin": {vin}, "dateFrom": {statDate + " 00:00:00"}, "dateTo": {statDate + " 23:59:59"}, "orderBy": {"eventTime"}, "limit": {strconv.Itoa(limit)}, "offset": {strconv.Itoa(offset)}, "includeFields": {"true"}, "includePayload": {"true"}, "includeTotal": {strconv.FormatBool(includeTotal)}}
req, _ := http.NewRequest(http.MethodGet, baseURL+"/api/history/raw-frames?"+q.Encode(), nil)
req.Header.Set("Accept-Encoding", "gzip")
client := &http.Client{Timeout: 90 * time.Second}
res, err := client.Do(req)
if err != nil {
return rawResponse{}, err
}
defer res.Body.Close()
if res.StatusCode != http.StatusOK {
body, _ := io.ReadAll(res.Body)
if res.StatusCode == http.StatusInternalServerError && bytes.Contains(body, []byte("Table does not exist")) {
return rawResponse{}, nil
}
return rawResponse{}, fmt.Errorf("HTTP %d: %s", res.StatusCode, body)
}
var reader io.Reader = res.Body
if res.Header.Get("Content-Encoding") == "gzip" {
gz, err := gzip.NewReader(res.Body)
if err != nil {
return rawResponse{}, err
}
defer gz.Close()
reader = gz
}
var out rawResponse
if err := json.NewDecoder(reader).Decode(&out); err != nil {
return rawResponse{}, err
}
return out, nil
}
func observationFromFrame(f rawFrame, tankCapacity float64, statDate string) (openplatform.HydrogenObservation, bool, bool) {
if f.MessageID != 2 || f.ParseStatus != "OK" {
return openplatform.HydrogenObservation{}, false, false
}
pressure, pok := num(f.ParsedFields["gb32960.fuel_cell.max_hydrogen_pressure_mpa"])
temp, tok := num(f.ParsedFields["gb32960.fuel_cell.max_hydrogen_temperature_c"])
critical := pok && tok
if !pok || !tok || pressure <= 0 || pressure > 70 || temp <= -40 || temp > 726.85 {
return openplatform.HydrogenObservation{}, false, critical
}
mass, ok := openplatform.PressureHydrogenMassKg(pressure, temp, tankCapacity)
if !ok {
return openplatform.HydrogenObservation{}, false, critical
}
step, _ := openplatform.PressureHydrogenMassKg(math.Max(0, pressure-0.2), temp, tankCapacity)
parsed, _ := json.Marshal(f.ParsedFields)
_, _, active, known, _ := openplatform.ExtractHydrogenTelemetry(string(parsed))
t, err := parseEventTime(f.EventTime)
if err != nil || t.Format("2006-01-02") != statDate {
return openplatform.HydrogenObservation{}, false, critical
}
o := openplatform.HydrogenObservation{VIN: f.VIN, Source: f.SourceEndpoint, EventID: f.EventID, ObservedAt: t, MassKg: mass, TankCapacityLiter: tankCapacity, PressureMPa: pressure, TemperatureC: temp, NoiseKg: math.Min(1, math.Max(0.05, mass-step)), RefuelThresholdKg: math.Max(1, mass*0.05), FuelCellActive: active, FuelCellStateKnown: known}
if voltage, vok := num(f.ParsedFields["gb32960.fuel_cell.fuel_cell_voltage_v"]); vok && voltage > 0 && voltage <= 1000 {
if current, cok := num(f.ParsedFields["gb32960.fuel_cell.fuel_cell_current_a"]); cok && current >= 0 && current <= 2000 {
o.FuelCellVoltageV = voltage
o.FuelCellCurrentA = current
o.FuelCellPowerKnown = true
}
}
if v, ok := num(f.ParsedFields["gb32960.vehicle.soc_percent"]); ok && v >= 0 && v <= 100 {
o.SOCPercent = v
o.SOCKnown = true
}
if v, ok := num(f.ParsedFields["gb32960.vehicle.total_mileage_km"]); ok && v >= 0 {
o.MileageKm = v
o.MileageKnown = true
}
if v, ok := num(f.ParsedFields["gb32960.vehicle.vehicle_status"]); ok {
o.VehicleState = int(v)
o.VehicleStateKnown = v >= 0 && v <= 255
}
if v, ok := num(f.ParsedFields["gb32960.vehicle.charge_status"]); ok {
o.ChargeState = int(v)
o.ChargeStateKnown = v >= 0 && v <= 255
}
if v, ok := num(f.ParsedFields["gb32960.vehicle.running_mode"]); ok {
o.RunningMode = int(v)
o.RunningModeKnown = v >= 0 && v <= 255
}
return o, true, critical
}
var rawHeaders = []string{"序号", "车牌", "VIN", "统计日期", "车型", "储氢总容积(L)", "额定电量(kWh)", "事件时间", "接收时间", "帧ID", "事件ID", "消息ID", "消息ID_HEX", "源端点", "解析状态", "原始字节数", "原始报文HEX", "完整解析字段JSON", "最高氢压(MPa)", "最高氢温(℃)", "电池SOC(%)", "仪表总里程(km)", "车辆状态", "充电状态", "运行模式", "燃料电池工作状态", "燃料电池电流(A)", "车端氢气质量(kg)", "系统压力换算剩余氢量(kg)", "噪声阈值(kg)", "是否算法有效样本", "计算角色/排除原因"}
func writeRawCSV(path string, c candidate, frames []rawFrame, roles map[string]string) error {
f, err := os.Create(path)
if err != nil {
return err
}
defer f.Close()
gz := gzip.NewWriter(f)
defer gz.Close()
w := csv.NewWriter(gz)
defer w.Flush()
if err := w.Write(rawHeaders); err != nil {
return err
}
for _, rf := range frames {
o, valid, _ := observationFromFrame(rf, c.TankCapacityL, c.StatDate)
role := roles[rf.EventID]
if !valid {
if t, err := parseEventTime(rf.EventTime); err == nil && t.Format("2006-01-02") != c.StatDate {
role = "事件时间不在统计日,不进入计算"
} else if rf.MessageID != 2 {
role = "非实时信息上报帧,不进入计算"
} else if rf.ParseStatus != "OK" {
role = "解析状态非OK,不进入计算"
} else {
role = "压力/温度无效或缺失,不进入计算"
}
} else if role == "" {
role = "有效候选帧(由分段规则判定)"
}
parsedJSON, _ := json.Marshal(rf.ParsedFields)
row := []string{fmt.Sprintf("%04d", c.SampleNo), c.Plate, c.VIN, c.StatDate, c.Model, strconv.FormatFloat(c.TankCapacityL, 'f', 2, 64), strconv.FormatFloat(c.BatteryKWh, 'f', 2, 64), rf.EventTime, rf.ReceivedAt, rf.FrameID, rf.EventID, strconv.Itoa(rf.MessageID), rf.MessageIDHex, rf.SourceEndpoint, rf.ParseStatus, strconv.Itoa(rf.RawSizeBytes), rf.RawHex, string(parsedJSON), val(rf.ParsedFields, "gb32960.fuel_cell.max_hydrogen_pressure_mpa"), val(rf.ParsedFields, "gb32960.fuel_cell.max_hydrogen_temperature_c"), val(rf.ParsedFields, "gb32960.vehicle.soc_percent"), val(rf.ParsedFields, "gb32960.vehicle.total_mileage_km"), val(rf.ParsedFields, "gb32960.vehicle.vehicle_status"), val(rf.ParsedFields, "gb32960.vehicle.charge_status"), val(rf.ParsedFields, "gb32960.vehicle.running_mode"), val(rf.ParsedFields, "gb32960.gd_fc_stack.engine_work_state"), val(rf.ParsedFields, "gb32960.fuel_cell.fuel_cell_current_a"), val(rf.ParsedFields, "gb32960.gd_fc_vehicle_info.hydrogen_mass_kg"), blankFloat(valid, o.MassKg), blankFloat(valid, o.NoiseKg), yesNo(valid), role}
if err := w.Write(row); err != nil {
return err
}
}
return w.Error()
}
func writeManifest(path string, outputs []dayOutput) {
f, err := os.Create(path)
if err != nil {
panic(err)
}
defer f.Close()
w := csv.NewWriter(f)
defer w.Flush()
_ = w.Write([]string{"序号", "车牌", "VIN", "日期", "车型", "储氢总容积(L)", "额定电量(kWh)", "API原始帧数", "唯一帧数", "重复帧数", "算法样本数", "关键字段帧数", "最早事件时间", "最晚事件时间", "原始文件", "压缩包SHA256", "压缩字节数", "质量状态", "质量原因"})
for _, o := range outputs {
_ = w.Write([]string{fmt.Sprintf("%04d", o.Candidate.SampleNo), o.Candidate.Plate, o.Candidate.VIN, o.Candidate.StatDate, o.Candidate.Model, strconv.FormatFloat(o.Candidate.TankCapacityL, 'f', 2, 64), strconv.FormatFloat(o.Candidate.BatteryKWh, 'f', 2, 64), strconv.Itoa(o.APIRawFrameCount), strconv.Itoa(o.UniqueFrameCount), strconv.Itoa(o.DuplicateFrameCount), strconv.Itoa(o.AlgorithmSamples), strconv.Itoa(o.CriticalFieldRows), o.EarliestEventTime, o.LatestEventTime, o.RawArchiveFile, o.RawArchiveSHA256, strconv.FormatInt(o.RawArchiveBytes, 10), o.Stat.QualityStatus, o.Stat.QualityReason})
}
}
func num(v any) (float64, bool) {
switch x := v.(type) {
case float64:
return x, true
case string:
n, e := strconv.ParseFloat(strings.TrimSpace(x), 64)
return n, e == nil
case json.Number:
n, e := x.Float64()
return n, e == nil
default:
return 0, false
}
}
func val(m map[string]any, k string) string {
if v, ok := m[k]; ok {
return fmt.Sprint(v)
}
return ""
}
func blankFloat(ok bool, v float64) string {
if !ok {
return ""
}
return strconv.FormatFloat(v, 'f', 6, 64)
}
func yesNo(v bool) string {
if v {
return "是"
}
return "否"
}
func safeName(v string) string {
v = strings.TrimSpace(v)
if v == "" {
return "无车牌"
}
return strings.NewReplacer("/", "_", "\\", "_", " ", "_").Replace(v)
}
func parseEventTime(value string) (time.Time, error) {
loc := time.FixedZone("CST", 8*3600)
if t, e := time.ParseInLocation("2006-01-02 15:04:05.000", value, loc); e == nil {
return t, nil
}
return time.ParseInLocation("2006-01-02 15:04:05", value, loc)
}
func mustReadJSON(path string, v any) {
b, e := os.ReadFile(path)
if e != nil {
panic(e)
}
if e = json.Unmarshal(b, v); e != nil {
panic(e)
}
}
func writeJSON(path string, v any) {
b, e := json.MarshalIndent(v, "", " ")
if e != nil {
panic(e)
}
if e = os.WriteFile(path, b, 0o644); e != nil {
panic(e)
}
}
func sumRaw(v []dayOutput) int {
n := 0
for _, x := range v {
n += x.APIRawFrameCount
}
return n
}
func sumSamples(v []dayOutput) int {
n := 0
for _, x := range v {
n += x.AlgorithmSamples
}
return n
}
func sumIntervals(v []dayOutput) int {
n := 0
for _, x := range v {
n += len(x.Stat.Intervals)
}
return n
}