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feat: add autosleep loader, support AutoSleep data
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‎README-EN.md

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Original file line numberDiff line numberDiff line change
@@ -40,6 +40,8 @@ Make everything a GitHub svg poster and [skyline](https://skyline.github.com/)!
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- **[OpenLanguage](#OpenLanguage)**
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- **[Apple Health](#AppleHealth)**
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- **[ChatGPT](#ChatGPT)**
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- **[NeoDB](#NeoDB)**
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- **[AutoSleep](#AutoSleep)**
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## Download
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```
@@ -553,6 +555,7 @@ python3 -m github_poster apple_health --apple_health_mode backfill --year 2015-2
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or
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github_poster apple_health --apple_health_mode backfill --year 2015-2021 --apple_health_record_type <move, exercise, stand> --me "your name"
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```
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</details>
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### ChatGPT
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@@ -589,6 +592,21 @@ Moreover, you can choose `all` as `mark_type` to import all marks.
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</details>
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### AutoSleep
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<details>
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<summary>Make your <code>AutoSleep</code> Github poster</summary>
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<br>
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Export your `AutoSleep` data from app（eg. autosleep.csv）, then run
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```
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python3 -m github_poster autosleep --autosleep_file "your csv file" --me "your name"
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or
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github_poster autosleep --autosleep_file "your csv file" --me "your name"
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```
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</details>
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# Contribution
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- Any Issues PR welcome.

‎README.md

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Original file line numberDiff line numberDiff line change
@@ -51,6 +51,8 @@ Make everything a GitHub svg poster and [skyline](https://skyline.github.com/)!
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- **[开言英语](#开言英语)**
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- **[Apple Health](#AppleHealth)**
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- **[ChatGPT](#ChatGPT)**
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- **[NeoDB](#NeoDB)**
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- **[AutoSleep](#AutoSleep)**
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## 下载
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@@ -683,6 +685,22 @@ python3 -m github_poster neodb --neodb_token <token> --mark_type <complete, wish
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</details>
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### AutoSleep
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<details>
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<summary>Make your <code>AutoSleep</code> Github poster</summary>
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<br>
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导出 AutoSleep 的数据（eg. autosleep.csv）
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```
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python3 -m github_poster autosleep --autosleep_file "your csv file" --me "your name"
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or
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github_poster autosleep --autosleep_file "your csv file" --me "your name"
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```
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</details>
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# 参与项目
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688706
- 任何 Issues PR 均欢迎。

‎examples/autosleep.csv

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@@ -0,0 +1,22 @@
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ISO8601,fromDate,toDate,bedtime,waketime,inBed,awake,fellAsleepIn,sessions,asleep,asleepAvg7,efficiency,efficiencyAvg7,quality,qualityAvg7,deep,deepAvg7,sleepBPM,sleepBPMAvg7,dayBPM,dayBPMAvg7,wakingBPM,wakingBPMAvg7,hrv,hrvAvg7,sleepHRV,sleepHRVAvg7,SpO2Avg,SpO2Min,SpO2Max,respAvg,respMin,respMax,tags,notes
2+
2023-12-03T20:59:59+08:00,"Saturday, Dec 2, 2023","Sunday, Dec 3, 2023",2023-12-03 01:25:00,2023-12-03 08:20:00,06:55:00,00:00:00,00:00:00,1,06:55:00,07:14:00,100.0,99.1,05:12:34,05:10:05,01:14:06,01:05:25,54.5,59.2,67.5,65.5,54.0,55.6,48,65,40,55,,,,15.7,13.5,18.5,,
3+
2023-12-04T20:59:59+08:00,"Sunday, Dec 3, 2023","Monday, Dec 4, 2023",2023-12-04 00:13:00,2023-12-04 07:30:00,07:35:00,00:00:00,00:00:00,2,07:35:00,07:17:30,100.0,99.3,05:40:30,05:15:10,00:58:16,01:03:38,54.4,58.4,69.3,66.0,54.0,55.3,76,67,54,51,,,,15.9,14.0,21.5,,
4+
2023-12-05T20:59:59+08:00,"Monday, Dec 4, 2023","Tuesday, Dec 5, 2023",2023-12-05 00:15:00,2023-12-05 07:30:00,07:15:00,00:11:00,00:00:00,1,07:04:00,07:15:34,97.5,99.0,05:12:00,05:14:42,01:30:51,01:09:04,56.1,58.1,70.6,67.8,55.0,55.3,72,68,47,50,,,,15.9,14.0,21.0,,
5+
2023-12-06T20:59:59+08:00,"Tuesday, Dec 5, 2023","Wednesday, Dec 6, 2023",2023-12-06 00:15:00,2023-12-06 08:00:00,08:16:00,00:00:00,00:00:00,2,08:16:00,07:15:42,100.0,99.0,06:01:35,05:17:36,02:00:30,01:17:39,55.5,55.9,69.4,67.8,58.0,54.7,53,66,37,48,,,,15.4,14.0,20.5,,
6+
2023-12-07T20:59:59+08:00,"Wednesday, Dec 6, 2023","Thursday, Dec 7, 2023",2023-12-07 00:06:00,2023-12-07 07:06:00,07:19:00,00:00:00,00:00:00,2,07:19:00,07:22:00,100.0,99.0,05:24:17,05:22:06,01:45:00,01:21:33,57.4,55.9,,,56.0,55.3,59,63,46,46,,,,15.6,13.5,19.5,,
7+
2023-12-09T20:59:59+08:00,"Friday, Dec 8, 2023","Saturday, Dec 9, 2023",2023-12-09 00:30:00,2023-12-09 06:44:00,06:14:00,00:00:00,00:00:00,1,06:14:00,07:09:51,100.0,99.0,04:39:21,05:14:49,00:29:55,01:21:29,66.7,57.3,75.1,71.5,58.0,55.9,62,64,48,46,,,,16.2,15.0,19.0,,
8+
2023-12-10T20:59:59+08:00,"Saturday, Dec 9, 2023","Sunday, Dec 10, 2023",2023-12-10 00:08:00,2023-12-10 07:45:00,07:37:00,00:00:00,00:00:00,1,07:37:00,07:17:08,100.0,99.6,05:17:48,05:21:09,00:44:14,01:14:41,59.3,57.7,91.2,74.0,59.0,56.3,80,64,54,46,,,,15.5,13.0,19.5,,
9+
2023-12-11T20:59:59+08:00,"Sunday, Dec 10, 2023","Monday, Dec 11, 2023",2023-12-11 01:30:00,2023-12-11 07:18:00,06:14:00,00:00:00,00:00:00,2,06:14:00,07:11:17,100.0,99.6,05:04:50,05:20:03,01:28:39,01:16:46,67.6,59.6,75.4,75.1,61.0,57.3,92,71,69,51,,,,16.4,14.5,21.5,,
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2023-12-12T20:59:59+08:00,"Monday, Dec 11, 2023","Tuesday, Dec 12, 2023",2023-12-11 23:39:00,2023-12-12 07:15:00,08:06:00,00:00:00,00:00:00,2,08:06:00,07:15:42,100.0,99.6,05:40:07,05:20:00,01:13:50,01:18:59,60.6,60.5,71.0,75.4,59.0,58.0,77,71,58,51,,,,15.6,12.5,20.0,,
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2023-12-13T20:59:59+08:00,"Tuesday, Dec 12, 2023","Wednesday, Dec 13, 2023",2023-12-12 23:59:00,2023-12-13 07:30:00,08:14:00,00:00:00,00:00:00,2,08:14:00,07:25:42,100.0,100.0,05:44:06,05:24:35,01:45:14,01:21:03,58.5,60.8,71.1,75.4,54.0,57.9,81,72,59,53,,,,16.0,14.5,21.5,,
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2023-12-14T20:59:59+08:00,"Wednesday, Dec 13, 2023","Thursday, Dec 14, 2023",2023-12-13 23:51:00,2023-12-14 07:45:00,09:10:00,00:10:00,00:00:00,2,09:00:00,07:32:00,97.9,99.7,06:11:16,05:25:58,01:44:46,01:18:48,58.9,61.3,,,60.0,58.1,62,73,48,54,,,,16.1,14.0,20.0,,
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2023-12-18T20:59:59+08:00,"Sunday, Dec 17, 2023","Monday, Dec 18, 2023",2023-12-18 12:59:00,2023-12-18 14:00:00,01:01:00,00:00:00,00:00:00,1,01:01:00,06:38:00,100.0,99.7,00:31:58,04:44:12,00:12:12,01:05:32,64.3,62.3,67.9,75.2,61.0,58.9,71,75,65,57,,,,,,,,
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2023-12-19T20:59:59+08:00,"Monday, Dec 18, 2023","Tuesday, Dec 19, 2023",2023-12-18 23:53:00,2023-12-19 07:13:00,07:20:00,00:00:00,00:00:00,1,07:20:00,06:47:25,100.0,99.7,05:24:46,04:50:42,02:16:33,01:20:46,56.1,60.8,70.6,74.6,53.0,58.1,160,89,80,62,,,,15.7,13.5,21.0,,
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2023-12-20T20:59:59+08:00,"Tuesday, Dec 19, 2023","Wednesday, Dec 20, 2023",2023-12-20 00:23:00,2023-12-20 07:30:00,07:07:00,00:00:00,00:00:00,1,07:07:00,06:43:08,100.0,99.7,05:16:07,04:50:27,01:13:37,01:24:58,54.1,60.0,69.9,71.5,53.0,57.3,71,88,56,62,,,,15.8,14.0,22.5,,
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2023-12-21T20:59:59+08:00,"Wednesday, Dec 20, 2023","Thursday, Dec 21, 2023",2023-12-21 00:03:00,2023-12-21 07:18:00,07:48:00,00:00:00,00:00:00,2,07:48:00,06:56:34,100.0,99.7,05:38:35,04:55:16,01:31:30,01:25:23,56.1,58.4,69.9,70.8,54.0,56.3,74,85,55,60,,,,15.2,13.0,18.5,,
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2023-12-22T20:59:59+08:00,"Thursday, Dec 21, 2023","Friday, Dec 22, 2023",2023-12-22 00:01:00,2023-12-22 07:30:00,07:29:00,00:00:00,00:00:00,1,07:29:00,06:51:17,100.0,99.7,05:28:33,04:53:37,00:44:54,01:21:15,56.0,57.7,,,57.0,56.0,73,85,50,59,,,,15.3,13.5,19.5,,
18+
2023-12-25T20:59:59+08:00,"Sunday, Dec 24, 2023","Monday, Dec 25, 2023",2023-12-24 23:58:00,2023-12-25 07:30:00,07:32:00,00:00:00,00:00:00,1,07:32:00,06:45:17,100.0,99.7,05:17:16,04:49:47,01:00:16,01:14:49,66.3,58.8,74.1,71.8,61.0,57.0,78,84,48,57,,,,16.1,14.0,19.5,,
19+
2023-12-26T20:59:59+08:00,"Monday, Dec 25, 2023","Tuesday, Dec 26, 2023",2023-12-26 00:00:00,2023-12-26 07:30:00,07:30:00,00:00:00,00:00:00,1,07:30:00,06:32:25,100.0,100.0,05:34:04,04:44:28,01:00:00,01:08:26,62.0,59.3,68.2,70.8,57.0,56.6,116,92,72,61,,,,15.9,13.5,22.0,,
20+
2023-12-27T20:59:59+08:00,"Tuesday, Dec 26, 2023","Wednesday, Dec 27, 2023",2023-12-27 00:15:00,2023-12-27 07:20:00,07:05:00,00:00:00,00:00:00,1,07:05:00,07:24:25,100.0,100.0,05:07:14,05:23:48,01:15:54,01:17:32,57.9,58.4,66.1,70.5,56.0,55.9,56,90,41,57,,,,16.1,13.0,21.5,,
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2023-12-28T20:59:59+08:00,"Wednesday, Dec 27, 2023","Thursday, Dec 28, 2023",2023-12-28 00:11:00,2023-12-28 01:15:00,01:04:00,00:00:00,00:00:00,1,01:04:00,06:30:42,100.0,100.0,00:26:32,04:41:12,00:12:48,00:59:51,60.9,59.1,69.3,70.4,74.0,58.9,87,79,87,58,,,,15.7,14.5,17.0,,
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2023-12-29T20:59:59+08:00,"Thursday, Dec 28, 2023","Friday, Dec 29, 2023",2023-12-28 23:40:00,2023-12-29 08:00:00,08:20:00,00:14:00,00:00:00,1,08:06:00,06:39:08,97.2,99.6,05:55:14,04:46:47,01:15:56,01:00:11,57.0,59.5,,,57.0,59.4,53,77,44,57,,,,16.0,14.0,20.0,,

‎github_poster/config.py

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@@ -49,4 +49,5 @@
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"apple": "AppleHealth",
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"chatgpt": "ChatGPT",
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"neodb": "NeoDB",
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"autosleep": "AutoSleep"
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}

‎github_poster/loader/__init__.py

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from github_poster.loader.wakatime_loader import WakaTimeLoader
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from github_poster.loader.weread_loader import WereadLoader
3131
from github_poster.loader.youtube_loader import YouTubeLoader
32+
from github_poster.loader.autosleep_loader import AutoSleepLoader
3233

3334
LOADER_DICT = {
3435
"apple_health": AppleHealthLoader,
@@ -62,6 +63,7 @@
6263
"openlanguage": OpenLanguageLoader,
6364
"chatgpt": ChatGPTLoader,
6465
"neodb": NeoDBLoader,
66+
"autosleep": AutoSleepLoader
6567
}
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6769
__all__ = (
@@ -97,4 +99,5 @@
9799
"OpenLanguageLoader",
98100
"ChatGPTLoader",
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"NeoDBLoader",
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"AutoSleepLoader"
100103
)

‎github_poster/loader/autosleep_loader.py

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import csv
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from collections import defaultdict
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4+
from datetime import datetime
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from github_poster.loader.base_loader import BaseLoader
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7+
8+
class AutoSleepLoader(BaseLoader):
9+
unit = "hours"
10+
11+
def __init__(self, from_year, to_year, _type, **kwargs):
12+
super().__init__(from_year, to_year, _type)
13+
self.number_by_date_dict = defaultdict(int)
14+
self.autosleep_file = kwargs.get("autosleep_file")
15+
16+
@classmethod
17+
def add_loader_arguments(cls, parser, optional):
18+
parser.add_argument(
19+
"--autosleep_file",
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dest="autosleep_file",
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type=str,
22+
default="autosleep.csv",
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help="autosleep json file path",
24+
)
25+
26+
def _parse_autosleep_data(self):
27+
base_file = self.autosleep_file
28+
data_obj = {}
29+
with open(base_file) as f:
30+
reader = csv.DictReader(f)
31+
rows = list(reader)
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# eg.
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# if rows: [{"ISO8601": "2023-01-01T20:59:59+08:00", "睡眠时间": "7:31:00", "效率": "91.4" }, {"ISO8601": "2023-01-02T20:59:59+08:00", "睡眠时间": "6:31:00", "效率": "80" }]
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# result data_obj: { "2023-01-01": 91.4, "2023-01-02": 80 }
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for row in rows:
36+
asleep_key = "睡眠时间" if "睡眠时间" in row else "asleep"
37+
time_obj = datetime.strptime(row[asleep_key], "%H:%M:%S")
38+
hours = time_obj.hour + time_obj.minute / 60 + time_obj.second / 3600
39+
date = row["ISO8601"].split("T")[0]
40+
data_obj[date] = round(hours, 1)
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return data_obj
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def get_api_data(self):
44+
return self._parse_autosleep_data()
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46+
def make_track_dict(self):
47+
tracks = self.get_api_data()
48+
self.number_by_date_dict = tracks
49+
for _, v in self.number_by_date_dict.items():
50+
self.number_list.append(v)
51+
return tracks
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53+
def get_all_track_data(self):
54+
self.make_track_dict()
55+
self.make_special_number()
56+
return self.number_by_date_dict, self.year_list

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