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| 1 | +# import json |
| 2 | +# 生データのファイル名 |
| 3 | +FROM_FILE = "testADB_touchMesocket1_log_2020.05.07.txt" |
| 4 | +# 処理済ファイル名と列目 |
| 5 | +TO_FILE = 'result.txt' |
| 6 | +VALUE_FROM = 71 |
| 7 | +VALUE_TO = 79 |
| 8 | +COLUMNS = [ |
| 9 | + # { |
| 10 | + # 'name': '被験者番号', |
| 11 | + # 'bind_name': None, |
| 12 | + # 'from': None, |
| 13 | + # 'to': None, |
| 14 | + # 'value': 1, |
| 15 | + # }, |
| 16 | + { |
| 17 | + 'name': 'ミリ秒(n)', |
| 18 | + 'bind_name': 'TIME', # 固定 |
| 19 | + 'from': 1, |
| 20 | + 'to': 16, |
| 21 | + }, |
| 22 | + { |
| 23 | + 'name': 'x軸(n)', |
| 24 | + 'bind_name': 'ABS_MT_POSITION_X', |
| 25 | + 'from': VALUE_FROM, |
| 26 | + 'to': VALUE_TO, |
| 27 | + }, |
| 28 | + { |
| 29 | + 'name': 'y軸(n)', |
| 30 | + 'bind_name': 'ABS_MT_POSITION_Y', |
| 31 | + 'from': VALUE_FROM, |
| 32 | + 'to': VALUE_TO, |
| 33 | + }, |
| 34 | + { |
| 35 | + 'name': '圧力(n)', |
| 36 | + 'bind_name': 'ABS_MT_PRESSURE', |
| 37 | + 'from': VALUE_FROM, |
| 38 | + 'to': VALUE_TO, |
| 39 | + }, |
| 40 | + # { |
| 41 | + # 'name': '面積(n)', |
| 42 | + # 'bind_name': 'ABS_MT_TOUCH_MAJOR', |
| 43 | + # 'from': VALUE_FROM, |
| 44 | + # 'to': VALUE_TO, |
| 45 | + # } |
| 46 | +] |
| 47 | + |
| 48 | +# 抽出したいデータの設備名 |
| 49 | +DEVICE_CODE = '/dev/input/event4' |
| 50 | +# 生データに行の並び順番 |
| 51 | +KEYS = ('ABS_MT_TRACKING_ID', 'BTN_TOUCH', 'ABS_MT_POSITION_X', 'ABS_MT_POSITION_Y', 'ABS_MT_PRESSURE', 'SYN_REPORT') |
| 52 | +KEY_FROM = 50 |
| 53 | +KEY_TO = 68 |
| 54 | +# イベントの項目名 |
| 55 | +EVENT_NAME = 'BTN_TOUCH' |
| 56 | +# イベントの情報 |
| 57 | +EVENT_VALUE_FROM = 'DOWN' |
| 58 | +EVENT_VALUE_TO = 'UP' |
| 59 | +# 被験者ID |
| 60 | +USER_ID = '1' |
| 61 | + |
| 62 | + |
| 63 | +def parse_data(): |
| 64 | + max = 0 |
| 65 | + with open(FROM_FILE, 'r', encoding='utf-8') as f: |
| 66 | + data = f.readlines() |
| 67 | + |
| 68 | + result_data = [] |
| 69 | + data_json = {'TIME': []} |
| 70 | + i = 0 |
| 71 | + # データ補充 |
| 72 | + for row in data: |
| 73 | + if row.find(DEVICE_CODE) != -1 and row.find('add device') == -1: |
| 74 | + data_json['TIME'].append(row[1: 16]) |
| 75 | + action = row[KEY_FROM:KEY_TO] |
| 76 | + # 省略データがある場合 |
| 77 | + while action.find(KEYS[i]) < 0 and i < len(KEYS): |
| 78 | + # 前回のデータを配列に入れる |
| 79 | + data_json[KEYS[i]].append(data_json[KEYS[i]][-1]) |
| 80 | + i += 1 |
| 81 | + |
| 82 | + if action.find(KEYS[i]) >= 0: |
| 83 | + if KEYS[i] in data_json: |
| 84 | + data_json[KEYS[i]].append(row[VALUE_FROM:VALUE_TO]) |
| 85 | + else: |
| 86 | + data_json[KEYS[i]] = [row[VALUE_FROM:VALUE_TO]] |
| 87 | + i += 1 |
| 88 | + |
| 89 | + if i == len(KEYS): |
| 90 | + i = 0 |
| 91 | + # print(json.dumps(data_json, indent=4)) |
| 92 | + |
| 93 | + tmp = 0 |
| 94 | + event_count = len(data_json[EVENT_NAME]) |
| 95 | + out_row_data = [USER_ID] |
| 96 | + for j in range(event_count): |
| 97 | + tmp += 1 |
| 98 | + for col in COLUMNS: |
| 99 | + out_row_data.append(data_json[col['bind_name']][j]) |
| 100 | + |
| 101 | + # イベントがUPの場合 |
| 102 | + # print(out_row_data) |
| 103 | + if data_json[EVENT_NAME][j].find(EVENT_VALUE_TO) != -1: |
| 104 | + result_data.append(','.join(out_row_data) + '\n') |
| 105 | + out_row_data = [USER_ID] |
| 106 | + if tmp > max: |
| 107 | + max = tmp |
| 108 | + |
| 109 | + tmp = 0 |
| 110 | + |
| 111 | + # ヘッダ作成 |
| 112 | + print(max) |
| 113 | + heads = ['被験者番号'] |
| 114 | + for k in range(max): |
| 115 | + for col in COLUMNS: |
| 116 | + heads.append(col['name'].replace('n', str(k + 1))) |
| 117 | + |
| 118 | + result_head = ','.join(heads) + '\n' |
| 119 | + |
| 120 | + with open(TO_FILE, 'a', encoding='utf-8') as f: |
| 121 | + # ヘッダ |
| 122 | + f.writelines(result_head) |
| 123 | + f.writelines(result_data) |
| 124 | + |
| 125 | + |
| 126 | +if __name__ == '__main__': |
| 127 | + parse_data() |
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