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我正在尝试在查询 REST API 时使用基于日期范围的变量来应用过滤器。

示例输出：

"data": [
    {
        "assignment_count": ,
        "business_hour_interruptions": ,
        "created_at": "",
        "description": "",
        "engaged_seconds":,
        "engaged_user_count": ,
        "escalation_count": ,
        "id": "",
        "incident_number":,
        "major":,
        "off_hour_interruptions": ,
        "priority_id": "",
        "priority_name": "",
        "resolved_at": "",
        "seconds_to_engage": null,
        "seconds_to_first_ack":,
        "seconds_to_mobilize": null,
        "seconds_to_resolve":,
        "service_id": "",
        "service_name": "",
        "sleep_hour_interruptions": ,
        "snoozed_seconds": ,
        "team_id": "",
        "team_name": "",
        "urgency": "",
        "user_defined_effort_seconds": null
    }
],
"ending_before": null,
"filters": {
    "created_at_end": "",
    "created_at_start": ""
},
"first": "",
"last": "",
"limit": ,
"more":,
"order": "",
"order_by": "",
"starting_after":,
"time_zone": ""}

到目前为止我做了什么：

  1. 我试图通过迭代生成日期：

    start_date = date(2020, 01, 01)
end_date = date.today()

def daterange(start_date, end_date):
    for n in range(int((end_date - start_date).days)):
        yield start_date + timedelta(n)

for single_date in daterange(start_date, end_date):
    data = single_date.strftime("%Y-%m-%d %H:%M:%S")```

  2. 独立查询：

def raw_incidents():
    limit = 1000
    API_KEY = ''
    start_date = datetime(year=2020, month=01, day=01).strftime("%Y-%m-%d %H:%M:%S")
    today = date.today().strftime("%Y-%m-%d %H:%M:%S") 
    url = f'https://api.pagerduty.com/analytics/raw/incidents?limit={limit}'
    headers = {
        'X-EARLY-ACCESS': 'analytics-v2',        
        'Accept': 'application/vnd.pagerduty+json;version=2',
        'Authorization': 'Token token={token}'.format(token=API_KEY),
        'Content-type': 'application/json',
    }
    payload = {
      "filters": {
        "created_at_start": f'{start_date}',
        "created_at_end": f'{today}'
        }
        }   
    r = requests.post(url, headers=headers, data=json.dumps(payload))
    data_json = r.json()
    incidents = pd.json_normalize(data_json['data'])
    incidents.to_csv('incidents_raw.csv', index=None, header=True)
if __name__ == '__main__':
    raw_incidents()

这就是我卡住的地方，我想根据日期数组使用不同的过滤器（动态 created_at 和 created_end）运行上述查询。如何根据日期范围迭代上述查询并附加结果？

先感谢您。

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0 回答 0