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- package csvimport
- import (
- "encoding/csv"
- "encoding/hex"
- "fmt"
- "io"
- "strconv"
- "strings"
- "github.com/danfragoso/pizzasql-next/pkg/storage"
- )
- // ImportOptions configures CSV import behavior
- type ImportOptions struct {
- TableName string // Target table name (required)
- HasHeader bool // First row is header (default: true)
- CreateTable bool // Create table if not exists
- IgnoreErrors bool // Continue on row errors
- NullValue string // String that represents NULL (default: "")
- Delimiter rune // CSV delimiter (default: ',')
- ColumnTypes map[string]string // Explicit column types for table creation
- }
- // DefaultImportOptions returns sensible defaults
- func DefaultImportOptions() ImportOptions {
- return ImportOptions{
- HasHeader: true,
- NullValue: "",
- Delimiter: ',',
- ColumnTypes: make(map[string]string),
- }
- }
- // ImportResult contains import statistics
- type ImportResult struct {
- RowsImported int64 `json:"rowsImported"`
- RowsSkipped int64 `json:"rowsSkipped"`
- TableCreated bool `json:"tableCreated"`
- Errors []string `json:"errors,omitempty"`
- }
- // ImportCSV imports CSV data into a table
- func ImportCSV(r io.Reader, schema *storage.SchemaManager, table *storage.TableManager, opts ImportOptions) (*ImportResult, error) {
- if opts.TableName == "" {
- return nil, fmt.Errorf("table name is required for CSV import")
- }
- result := &ImportResult{}
- // Create CSV reader
- csvReader := csv.NewReader(r)
- if opts.Delimiter != 0 {
- csvReader.Comma = opts.Delimiter
- }
- csvReader.FieldsPerRecord = -1 // Allow variable field count
- // Read all records
- records, err := csvReader.ReadAll()
- if err != nil {
- return result, fmt.Errorf("failed to read CSV: %w", err)
- }
- if len(records) == 0 {
- return result, nil
- }
- // Determine column names
- var columnNames []string
- startRow := 0
- if opts.HasHeader {
- columnNames = records[0]
- startRow = 1
- } else {
- // Generate column names if no header
- for i := range records[0] {
- columnNames = append(columnNames, fmt.Sprintf("column%d", i+1))
- }
- }
- // Check if table exists
- tableSchema, err := schema.GetSchema(opts.TableName)
- tableExists := err == nil
- if !tableExists {
- if !opts.CreateTable {
- return result, fmt.Errorf("table %s does not exist (use CreateTable option to auto-create)", opts.TableName)
- }
- // Create table with inferred schema
- tableSchema = inferSchema(opts.TableName, columnNames, records[startRow:], opts.ColumnTypes)
- if err := schema.CreateTable(tableSchema); err != nil {
- return result, fmt.Errorf("failed to create table %s: %w", opts.TableName, err)
- }
- result.TableCreated = true
- }
- // Build column type map for parsing
- columnTypeMap := make(map[string]string)
- for _, col := range tableSchema.Columns {
- columnTypeMap[strings.ToLower(col.Name)] = strings.ToUpper(col.Type)
- }
- // Import rows
- for i := startRow; i < len(records); i++ {
- record := records[i]
- row := make(storage.Row)
- for j, colName := range columnNames {
- if j >= len(record) {
- break
- }
- value := record[j]
- colType := columnTypeMap[strings.ToLower(colName)]
- // Handle NULL values
- if value == opts.NullValue {
- row[colName] = nil
- continue
- }
- // Parse value based on column type
- parsedValue, err := parseValue(value, colType)
- if err != nil {
- if opts.IgnoreErrors {
- result.Errors = append(result.Errors, fmt.Sprintf("row %d, column %s: %v", i+1, colName, err))
- row[colName] = value // Store as string
- } else {
- return result, fmt.Errorf("row %d, column %s: %w", i+1, colName, err)
- }
- } else {
- row[colName] = parsedValue
- }
- }
- // Insert row
- if err := table.Insert(opts.TableName, row); err != nil {
- if opts.IgnoreErrors {
- result.Errors = append(result.Errors, fmt.Sprintf("row %d: %v", i+1, err))
- result.RowsSkipped++
- } else {
- return result, fmt.Errorf("failed to insert row %d: %w", i+1, err)
- }
- } else {
- result.RowsImported++
- }
- }
- return result, nil
- }
- // inferSchema creates a schema based on column names and sample data
- func inferSchema(tableName string, columnNames []string, sampleData [][]string, explicitTypes map[string]string) *storage.Schema {
- columns := make([]storage.Column, len(columnNames))
- for i, name := range columnNames {
- colType := "TEXT" // Default type
- // Check for explicit type
- if explicit, ok := explicitTypes[name]; ok {
- colType = explicit
- } else {
- // Infer type from sample data
- colType = inferColumnType(sampleData, i)
- }
- columns[i] = storage.Column{
- Name: name,
- Type: colType,
- Nullable: true,
- }
- }
- // Use first column as primary key if it looks like an ID
- if len(columns) > 0 {
- firstCol := strings.ToLower(columns[0].Name)
- if firstCol == "id" || strings.HasSuffix(firstCol, "_id") || strings.HasSuffix(firstCol, "id") {
- columns[0].PrimaryKey = true
- columns[0].Nullable = false
- }
- }
- return &storage.Schema{
- Name: tableName,
- Columns: columns,
- PrimaryKey: columns[0].Name,
- }
- }
- // inferColumnType infers the column type from sample data
- func inferColumnType(sampleData [][]string, colIndex int) string {
- if len(sampleData) == 0 {
- return "TEXT"
- }
- allInts := true
- allFloats := true
- hasData := false
- for _, row := range sampleData {
- if colIndex >= len(row) {
- continue
- }
- value := strings.TrimSpace(row[colIndex])
- if value == "" {
- continue // Skip empty values for type inference
- }
- hasData = true
- // Try parsing as integer
- if _, err := strconv.ParseInt(value, 10, 64); err != nil {
- allInts = false
- }
- // Try parsing as float
- if _, err := strconv.ParseFloat(value, 64); err != nil {
- allFloats = false
- }
- }
- if !hasData {
- return "TEXT"
- }
- if allInts {
- return "INTEGER"
- }
- if allFloats {
- return "REAL"
- }
- return "TEXT"
- }
- // parseValue parses a string value based on the column type
- func parseValue(value string, colType string) (interface{}, error) {
- colType = strings.ToUpper(colType)
- switch {
- case strings.Contains(colType, "INT"):
- // Handle INTEGER, INT, BIGINT, SMALLINT
- i, err := strconv.ParseInt(value, 10, 64)
- if err != nil {
- return nil, fmt.Errorf("invalid integer value: %s", value)
- }
- return i, nil
- case strings.Contains(colType, "REAL") || strings.Contains(colType, "FLOAT") || strings.Contains(colType, "DOUBLE"):
- f, err := strconv.ParseFloat(value, 64)
- if err != nil {
- return nil, fmt.Errorf("invalid float value: %s", value)
- }
- return f, nil
- case strings.Contains(colType, "BLOB"):
- // Handle hex-encoded blob (0xABCD or just ABCD)
- hexStr := value
- if strings.HasPrefix(hexStr, "0x") || strings.HasPrefix(hexStr, "0X") {
- hexStr = hexStr[2:]
- }
- data, err := hex.DecodeString(hexStr)
- if err != nil {
- return nil, fmt.Errorf("invalid hex blob value: %s", value)
- }
- return data, nil
- case strings.Contains(colType, "BOOL"):
- lower := strings.ToLower(value)
- if lower == "1" || lower == "true" || lower == "yes" {
- return true, nil
- }
- if lower == "0" || lower == "false" || lower == "no" {
- return false, nil
- }
- return nil, fmt.Errorf("invalid boolean value: %s", value)
- default:
- // TEXT, VARCHAR, CHAR, etc.
- return value, nil
- }
- }
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