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PythonでGoogle Fit APIのデータを取得する

Last updated at Posted at 2020-10-11

概要

Google Fit APIでデータを取得する際、OAuth2を使う必要がある。
OAuth2を使ってデータを取得する際、google-api-python-clientを使用するのが便利である。
google-api-python-clientを使用してデータを取得する方法を以下に記載する。

作業手順

  1. 自身のスマホでGoogle Fitアプリをインストール
  2. Google API Console でGoogle Fit APIを有効にし、jsonファイルをダウンロード。(ファイル名はoauth2.json)
  3. google-api-python-clientを下記コマンドでインストール
    pip3 install google-api-python-client
  4. 下記ソースを実行
  5. 初回起動時は認証情報がない為、ブラウザで出力されたURLにアクセスし、OAuth2の認証を通す

      ※認証を通した際に、OAuth2の認証ファイルが作成されるため2回目以降はデータにアクセス可能

実行ソース

getfit.py
import os
import json
import httplib2
import requests

import time
from datetime import datetime, timedelta
from apiclient.discovery import build
from oauth2client.client import OAuth2WebServerFlow, flow_from_clientsecrets
from oauth2client.file import Storage

OAUTH_SCOPE = 'https://www.googleapis.com/auth/fitness.activity.read'
DATA_SOURCE = "derived:com.google.step_count.delta:com.google.android.gms:estimated_steps"
REDIRECT_URI = 'urn:ietf:wg:oauth:2.0:oob'
CREDENTIALS_FILE = "./secret/credentials"

def auth_data():

    credentials = ""

    if os.path.exists(CREDENTIALS_FILE):
        credentials = Storage(CREDENTIALS_FILE).get()
    else:
        #flow = OAuth2WebServerFlow(CLIENT_ID, CLIENT_SECRET, OAUTH_SCOPE, REDIRECT_URI)
        flow = flow_from_clientsecrets(
            # API有効化時に取得したOAuth用のJSONファイルを指定
            './secret/oauth2.json',
            # スコープを指定
            scope=OAUTH_SCOPE,
            # ユーザーの認証後の、トークン受け取り方法を指定(後述)
            redirect_uri=REDIRECT_URI)

        authorize_url = flow.step1_get_authorize_url()
        print('下記URLをブラウザで起動してください。')
        print(authorize_url)

        code = input('Codeを入力してください: ').strip()
        credentials = flow.step2_exchange(code)

        if not os.path.exists(CREDENTIALS_FILE):
            Storage(CREDENTIALS_FILE).put(credentials)

    # Create an httplib2.Http object and authorize it with our credentials
    http = httplib2.Http()
    http = credentials.authorize(http)

    fitness_service = build('fitness', 'v1', http=http)

    return fitness_service


def retrieve_data(fitness_service, dataset):

    return fitness_service.users().dataSources(). \
        datasets(). \
        get(userId='me', dataSourceId=DATA_SOURCE, datasetId=dataset). \
        execute()


def nanoseconds(nanotime):
    """
    ナノ秒に変換する
    """
    dt = datetime.fromtimestamp(nanotime // 1000000000)
    return dt.strftime('%Y-%m-%d %H:%M:%S')


def logwrite(date, step):
    with open('./data/step.log', 'a') as outfile:
        outfile.write(str(date) + "," + str(step) + "\n")


if __name__ == "__main__":

    authdata = auth_data()

    # 前日分のデータを取得
    TODAY = datetime.today() - timedelta(days=1)
    STARTDAY = datetime(TODAY.year, TODAY.month, TODAY.day, 0, 0, 0)
    NEXTDAY = datetime(TODAY.year, TODAY.month, TODAY.day, 23, 59, 59)
    NOW = datetime.today()

    START = int(time.mktime(STARTDAY.timetuple())*1000000000)
    NEXT = int(time.mktime(NEXTDAY.timetuple())*1000000000)
    END = int(time.mktime(NOW.timetuple())*1000000000)
    data_set = "%s-%s" % (START, NEXT)

    while True:

        if END < NEXT:
            break

        dataset = retrieve_data(authdata, data_set)

        starts = []
        ends = []
        values = []
        for point in dataset["point"]:
            if int(point["startTimeNanos"]) > START:
                starts.append(int(point["startTimeNanos"]))
                ends.append(int(point["endTimeNanos"]))
                values.append(point['value'][0]['intVal'])

        print("From: {}".format(nanoseconds(min(starts))))
        print("To: {}".format(nanoseconds(max(ends))))
        print("Steps:{}".format(sum(values)))

        step = sum(values)

        startdate = STARTDAY.date()
        logwrite(startdate, step)

        STARTDAY = STARTDAY + timedelta(days=1)
        NEXTDAY = NEXTDAY + timedelta(days=1)
        START = int(time.mktime(STARTDAY.timetuple())*1000000000)
        NEXT = int(time.mktime(NEXTDAY.timetuple())*1000000000)
        data_set = "%s-%s" % (START, NEXT)

        time.sleep(5)

参考ページ

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