示例#1
0
文件: backup.py 项目: nemo9955/aer
def write_dashboard(get_path, parent_folder, isHome=False):
    dat = EasyDict()
    com = RecursiveFormatter(dat, BACKUP_INFO)

    raw_dbdi = json.loads(run("curl " + get_path))
    the_db = raw_dbdi["dashboard"]
    the_db.pop("version", None)
    the_db.pop("id", None)

    good_from = {}
    good_from["dashboard"] = the_db
    good_from["overwrite"] = True

    dat.grafana_type_export = "dashboard"
    dat.file_month = datetime.datetime.now().month
    dat.file_year = datetime.datetime.now().year
    dat.datasource_name = raw_dbdi["meta"]["slug"]

    # db_fn = (str(raw_dbdi["meta"]["slug"]) + "_dashboard.json")

    if isHome == True:
        # db_fn = "HOME-dashboard.json"
        dat.datasource_name = "_HOME_"
        good_from["meta"] = {"isHome": True}

    datasource_bk_path = com.raw_(
        pjoin(parent_folder, BACKUP_INFO.grafana_export_file))

    with open(datasource_bk_path, "w") as dbo:
        json.dump(good_from, dbo)
示例#2
0
文件: backup.py 项目: nemo9955/aer
def grafana_retrive_datasources(parent_local_folder):
    grafana_url = "localhost:3000"
    dat = EasyDict()
    com = RecursiveFormatter(dat, BACKUP_INFO)
    dat.grafana_type_export = "datasource"

    dat.file_month = datetime.datetime.now().month
    dat.file_year = datetime.datetime.now().year
    with quiet():
        # TODO in case values are not found, prompt user for them !!!!, Maybe
        # generalize the procedure
        dash_json = run("curl http://{}:{}@{}/api/datasources/ ".format(
            odb.var.GRAFANA_ADMIN_NAME, odb.var.GRAFANA_ADMIN_PASS,
            grafana_url)).strip()
        print(dash_json)
        dasource = json.loads(dash_json)

    local("mkdir -p " + parent_local_folder)
    for datas_dict in dasource:
        dat.datasource_name = datas_dict["name"]

        datasource_bk_path = com.raw_(
            pjoin(parent_local_folder, BACKUP_INFO.grafana_export_file))
        datas_dict.pop("id", None)

        with open(datasource_bk_path, "w") as das:
            json.dump(datas_dict, das)