forked from datumbrain/otters
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathtype.go
More file actions
425 lines (384 loc) · 8.92 KB
/
Copy pathtype.go
File metadata and controls
425 lines (384 loc) · 8.92 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
package otters
import (
"fmt"
"strconv"
"strings"
"time"
)
// ColumnType represents the data type of a column
type ColumnType int
const (
StringType ColumnType = iota
Int64Type
Float64Type
BoolType
TimeType
)
// String returns the string representation of a ColumnType
func (ct ColumnType) String() string {
switch ct {
case StringType:
return "string"
case Int64Type:
return "int64"
case Float64Type:
return "float64"
case BoolType:
return "bool"
case TimeType:
return "time"
default:
return "unknown"
}
}
// Series represents a single column of data with a specific type
type Series struct {
Name string // Column name
Type ColumnType // Data type
Data interface{} // Actual data: []string, []int64, []float64, []bool, []time.Time
Length int // Number of elements
}
// NewSeries creates a new Series with the given name and data
func NewSeries(name string, data interface{}) (*Series, error) {
s := &Series{
Name: name,
Data: data,
}
// Determine type and length based on data
switch d := data.(type) {
case []string:
s.Type = StringType
s.Length = len(d)
case []int64:
s.Type = Int64Type
s.Length = len(d)
case []float64:
s.Type = Float64Type
s.Length = len(d)
case []bool:
s.Type = BoolType
s.Length = len(d)
case []time.Time:
s.Type = TimeType
s.Length = len(d)
default:
return nil, &OtterError{
Op: "NewSeries",
Message: fmt.Sprintf("unsupported data type: %T", data),
}
}
return s, nil
}
// Get returns the value at the specified index
func (s *Series) Get(index int) (interface{}, error) {
if index < 0 || index >= s.Length {
return nil, &OtterError{
Op: "Series.Get",
Column: s.Name,
Message: fmt.Sprintf("index %d out of range [0:%d]", index, s.Length),
}
}
switch s.Type {
case StringType:
return s.Data.([]string)[index], nil
case Int64Type:
return s.Data.([]int64)[index], nil
case Float64Type:
return s.Data.([]float64)[index], nil
case BoolType:
return s.Data.([]bool)[index], nil
case TimeType:
return s.Data.([]time.Time)[index], nil
default:
return nil, &OtterError{
Op: "Series.Get",
Column: s.Name,
Message: "unknown column type",
}
}
}
// Set updates the value at the specified index
func (s *Series) Set(index int, value interface{}) error {
if index < 0 || index >= s.Length {
return &OtterError{
Op: "Series.Set",
Column: s.Name,
Message: fmt.Sprintf("index %d out of range [0:%d]", index, s.Length),
}
}
switch s.Type {
case StringType:
if v, ok := value.(string); ok {
s.Data.([]string)[index] = v
} else {
return &OtterError{
Op: "Series.Set",
Column: s.Name,
Message: fmt.Sprintf("expected string, got %T", value),
}
}
case Int64Type:
if v, ok := value.(int64); ok {
s.Data.([]int64)[index] = v
} else {
return &OtterError{
Op: "Series.Set",
Column: s.Name,
Message: fmt.Sprintf("expected int64, got %T", value),
}
}
case Float64Type:
if v, ok := value.(float64); ok {
s.Data.([]float64)[index] = v
} else {
return &OtterError{
Op: "Series.Set",
Column: s.Name,
Message: fmt.Sprintf("expected float64, got %T", value),
}
}
case BoolType:
if v, ok := value.(bool); ok {
s.Data.([]bool)[index] = v
} else {
return &OtterError{
Op: "Series.Set",
Column: s.Name,
Message: fmt.Sprintf("expected bool, got %T", value),
}
}
case TimeType:
if v, ok := value.(time.Time); ok {
s.Data.([]time.Time)[index] = v
} else {
return &OtterError{
Op: "Series.Set",
Column: s.Name,
Message: fmt.Sprintf("expected time.Time, got %T", value),
}
}
default:
return &OtterError{
Op: "Series.Set",
Column: s.Name,
Message: "unknown column type",
}
}
return nil
}
// Copy creates a deep copy of the Series
func (s *Series) Copy() *Series {
newSeries := &Series{
Name: s.Name,
Type: s.Type,
Length: s.Length,
}
// Deep copy the data slice
switch s.Type {
case StringType:
data := make([]string, s.Length)
copy(data, s.Data.([]string))
newSeries.Data = data
case Int64Type:
data := make([]int64, s.Length)
copy(data, s.Data.([]int64))
newSeries.Data = data
case Float64Type:
data := make([]float64, s.Length)
copy(data, s.Data.([]float64))
newSeries.Data = data
case BoolType:
data := make([]bool, s.Length)
copy(data, s.Data.([]bool))
newSeries.Data = data
case TimeType:
data := make([]time.Time, s.Length)
copy(data, s.Data.([]time.Time))
newSeries.Data = data
}
return newSeries
}
// DataFrame represents a collection of Series with aligned indices
type DataFrame struct {
columns map[string]*Series // Column name -> Series mapping
order []string // Maintains column order
length int // Number of rows
err error // Error state for chaining operations
}
// NewDataFrame creates a new empty DataFrame
func NewDataFrame() *DataFrame {
return &DataFrame{
columns: make(map[string]*Series),
order: make([]string, 0),
length: 0,
err: nil,
}
}
// InferType attempts to infer the best type for a slice of string values
func InferType(values []string) ColumnType {
if len(values) == 0 {
return StringType
}
// Track what types we can convert to
canBeInt := true
canBeFloat := true
canBeBool := true
canBeTime := true
for _, value := range values {
value = strings.TrimSpace(value)
// Skip empty values in type inference
if value == "" {
continue
}
// Check int64
if canBeInt {
if _, err := strconv.ParseInt(value, 10, 64); err != nil {
canBeInt = false
}
}
// Check float64
if canBeFloat {
if _, err := strconv.ParseFloat(value, 64); err != nil {
canBeFloat = false
}
}
// Check bool
if canBeBool {
if _, err := strconv.ParseBool(value); err != nil {
canBeBool = false
}
}
// Check time (common formats)
if canBeTime {
if !isTimeValue(value) {
canBeTime = false
}
}
}
// Return the most specific type possible
if canBeBool {
return BoolType
}
if canBeInt {
return Int64Type
}
if canBeFloat {
return Float64Type
}
if canBeTime {
return TimeType
}
return StringType
}
// isTimeValue checks if a string can be parsed as a time
func isTimeValue(value string) bool {
// Common time formats to try
timeFormats := []string{
"2006-01-02",
"2006-01-02 15:04:05",
"01/02/2006",
"01-02-2006",
"2006/01/02",
time.RFC3339,
time.RFC822,
}
for _, format := range timeFormats {
if _, err := time.Parse(format, value); err == nil {
return true
}
}
return false
}
// ConvertValue converts a string value to the specified type
func ConvertValue(value string, targetType ColumnType) (interface{}, error) {
value = strings.TrimSpace(value)
// Handle empty values
if value == "" {
switch targetType {
case StringType:
return "", nil
case Int64Type:
return int64(0), nil
case Float64Type:
return float64(0), nil
case BoolType:
return false, nil
case TimeType:
return time.Time{}, nil
}
}
switch targetType {
case StringType:
return value, nil
case Int64Type:
val, err := strconv.ParseInt(value, 10, 64)
if err != nil {
return nil, &OtterError{
Op: "ConvertValue",
Message: fmt.Sprintf("cannot convert '%s' to int64: %v", value, err),
Cause: err,
}
}
return val, nil
case Float64Type:
val, err := strconv.ParseFloat(value, 64)
if err != nil {
return nil, &OtterError{
Op: "ConvertValue",
Message: fmt.Sprintf("cannot convert '%s' to float64: %v", value, err),
Cause: err,
}
}
return val, nil
case BoolType:
val, err := strconv.ParseBool(value)
if err != nil {
return nil, &OtterError{
Op: "ConvertValue",
Message: fmt.Sprintf("cannot convert '%s' to bool: %v", value, err),
Cause: err,
}
}
return val, nil
case TimeType:
val, err := parseTimeValue(value)
if err != nil {
return nil, &OtterError{
Op: "ConvertValue",
Message: fmt.Sprintf("cannot convert '%s' to time: %v", value, err),
Cause: err,
}
}
return val, nil
default:
return nil, &OtterError{
Op: "ConvertValue",
Message: fmt.Sprintf("unknown target type: %v", targetType),
}
}
}
// parseTimeValue attempts to parse a time string using common formats
func parseTimeValue(value string) (time.Time, error) {
timeFormats := []string{
"2006-01-02",
"2006-01-02 15:04:05",
"01/02/2006",
"01-02-2006",
"2006/01/02",
time.RFC3339,
time.RFC822,
}
for _, format := range timeFormats {
if t, err := time.Parse(format, value); err == nil {
return t, nil
}
}
return time.Time{}, fmt.Errorf("no matching time format found")
}
// CSVOptions provides options for CSV reading/writing
type CSVOptions struct {
HasHeader bool // Whether the first row contains headers
Delimiter rune // Field delimiter (default: ',')
SkipRows int // Number of rows to skip at the beginning
MaxRows int // Maximum number of rows to read (0 = unlimited)
}