memnix /
memnix-rest
| Total Lines | 57 |
| Duplicated Lines | 0 % |
| Changes | 0 | ||
| 1 | package models |
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| 2 | |||
| 3 | import ( |
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| 4 | "gorm.io/gorm" |
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| 5 | ) |
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| 6 | |||
| 7 | // Mem structure |
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| 8 | type Mem struct { |
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| 9 | gorm.Model |
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| 10 | UserID uint `json:"user_id" example:"1"` |
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| 11 | User User |
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| 12 | CardID uint `json:"card_id" example:"1"` |
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| 13 | Card Card |
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| 14 | Quality uint `json:"quality" example:"0"` // [0: Blackout - 1: Error with choices - 2: Error with hints - 3: Error - 4: Good with hints - 5: Perfect] |
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| 15 | Repetition uint `json:"repetition" example:"0" ` |
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| 16 | Efactor float32 `json:"e_factor" example:"2.5"` |
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| 17 | Interval uint `json:"interval" example:"0"` |
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| 18 | } |
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| 19 | |||
| 20 | func (m *Mem) ComputeEfactor(oldEfactor float32, quality uint) { |
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| 21 | eFactor := oldEfactor + (0.1 - (5.0-float32(quality))*(0.08+(5-float32(quality)))*0.02) |
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| 22 | |||
| 23 | if eFactor < 1.3 { |
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| 24 | m.Efactor = 1.3 |
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| 25 | } else { |
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| 26 | m.Efactor = eFactor |
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| 27 | } |
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| 28 | } |
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| 29 | |||
| 30 | func (m *Mem) ComputeTrainingEfactor(oldEfactor float32, quality uint) { |
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| 31 | eFactor := oldEfactor + (0.1 - (5.0-float32(quality))*(0.08+(5-float32(quality)))*0.02) |
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| 32 | computedEfactor := (oldEfactor + eFactor) / 2 |
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| 33 | if computedEfactor < 1.3 { |
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| 34 | m.Efactor = 1.3 |
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| 35 | } else { |
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| 36 | m.Efactor = computedEfactor |
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| 37 | } |
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| 38 | } |
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| 39 | |||
| 40 | func (m *Mem) GetMemType() CardType { |
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| 41 | if m.Efactor <= 2 || m.Repetition < 2 || (m.Efactor <= 2.3 && m.Repetition < 4) { |
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| 42 | return CardMCQ |
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| 43 | } |
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| 44 | |||
| 45 | return m.Card.Type |
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| 46 | } |
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| 47 | |||
| 48 | func (m *Mem) ComputeInterval(oldInterval uint, eFactor float32, repetition uint) { |
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| 49 | switch repetition { |
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| 50 | case 0: |
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| 51 | m.Interval = 1 |
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| 52 | case 1, 2: |
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| 53 | m.Interval = 2 |
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| 54 | case 3: |
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| 55 | m.Interval = 3 |
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| 56 | default: |
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| 57 | m.Interval = uint(float32(oldInterval)*eFactor*0.75) + 1 |
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| 58 | } |
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| 60 |
