Contoh Penjadwalan Shift
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Contoh berikut menunjukkan cara memanggil API dengan Python requests
library, menggunakan kunci API untuk otentikasi. Untuk menggunakannya:
- Instal library
requests
Python. Dari command line: pip install
requests
.
- Simpan program Python berikut ke komputer Anda, dan beri nama
example.py
.
- Simpan file example_request.json di direktori yang sama dengan
(ini adalah contoh permintaan JSON).
- Buat file
credentials.json
di direktori yang sama dengan program Anda, dengan
{"key": "your_api_key"}
- Jalankan contoh dari command line:
python example.py
.
# example.py
import json
import requests
def run_example():
"""Calls the OR API to solve a shift scheduling problem."""
# Endpoint for the workforce scheduling solver in the OR API.
end_point = "https://optimization.googleapis.com/v1/scheduling:solveShiftScheduling"
# Read the API Key from a JSON file with the format:
# {"key": "your_api_key"}
with open("credentials.json") as f:
credentials = json.load(f)
api_key = credentials["key"]
# Load the JSON file with the request.
with open("example_request.json", "r") as f:
json_request = json.load(f)
# Call the API post method.
response = requests.post(f"{end_point}?key={api_key}", json=json_request)
# Process the response.
if response.ok:
solution = json.loads(response.content)
with open("example_response.json", "w") as f:
json.dump(solution, f, indent=2)
print(solution)
else:
error = json.loads(response.content)["error"]
print(f'Status code {error["code"]}: {error["message"]}')
if __name__ == "__main__":
run_example()
Bagaimana cara menetapkan tenggat waktu?
Batas waktu menentukan waktu maksimal yang diperlukan panggilan ke API.
Pengguna dapat menetapkan tenggat waktu klien dan server. Dalam konteks OR API, batas waktu server lebih berguna karena memberi tahu server backend tentang berapa lama waktu yang diperlukan untuk menerima permintaan, menjalankan solver yang mendasarinya, dan menampilkan respons. Sebaliknya, tenggat waktu klien berguna untuk
menetapkan waktu maksimum yang
aplikasi klien (yaitu, aplikasi yang memanggil OR API) akan
menunggu respons, sebelum {i>time out<i} (waktu tunggu).
Cuplikan kode berikut menetapkan batas waktu klien dan server dalam
header sesi permintaan. Batas waktu klien ditetapkan ke 60 detik. Tujuan
batas waktu server harus lebih kecil dari
tenggat waktu klien untuk memperhitungkan
overhead komunikasi. Di sini, kita menetapkan batas waktu server menjadi 95% dari batas waktu
klien, tetapi hal ini dapat bervariasi bergantung pada aplikasi. Perhatikan bahwa API
tombol juga dipindahkan ke header sesi untuk melakukan panggilan session.post(...)
lebih bersih.
# Call the API post method.
session = requests.Session()
client_deadline_seconds = 60
server_deadline_seconds = 0.95 * client_deadline_seconds
session.headers = {
"Content-Type": "application/json",
"Connection": "keep-alive",
"Keep-Alive": f"timeout={client_deadline_seconds}, max=1",
"X-Server-Timeout": f"{server_deadline_seconds}",
"X-Goog-Api-Key": api_key,
}
response = session.post(end_point, json=json_request, timeout=client_deadline_seconds)
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2024-09-12 UTC.
[null,null,["Terakhir diperbarui pada 2024-09-12 UTC."],[[["\u003cp\u003eThis page provides a Python example using the \u003ccode\u003erequests\u003c/code\u003e library to call the Optimization API's shift scheduling solver.\u003c/p\u003e\n"],["\u003cp\u003eUsers need to install the \u003ccode\u003erequests\u003c/code\u003e library, prepare an API key, and use the provided JSON request file to run the example.\u003c/p\u003e\n"],["\u003cp\u003eThe example demonstrates how to send a request to the API, handle the response, and save the solution to a file.\u003c/p\u003e\n"],["\u003cp\u003eThe page also explains how to set client and server deadlines to manage the request's execution time.\u003c/p\u003e\n"]]],["This document details using Python's `requests` library to call an API with authentication. Key steps include installing `requests`, saving example Python and JSON files, and creating a `credentials.json` file with the API key. The `example.py` script reads the API key and request data, makes a POST request to the API endpoint, and processes the response. It also explains setting client and server deadlines, demonstrated by defining both in the request session headers.\n"],null,["# Shift Scheduling Example\n\nThe following example showcases how to call the API with the Python `requests`\nlibrary, using an API key for authentication. To use it:\n\n- Install the Python `requests` library. From your command line: `pip install\n requests`.\n- Save the following Python program to your computer, naming it `example.py`.\n- Save the [example_request.json](/static/optimization/service/scheduling/shift_scheduling_request.json) file in the same directory as your program (this is a sample JSON [request](/optimization/service/reference/rest/v1/scheduling/solveShiftScheduling)).\n- Create a `credentials.json` file in the same directory as your program, with `{\"key\": \"your_api_key\"}`\n- Run the example from the command line: `python example.py`.\n\n\n # example.py\n import json\n import requests\n\n def run_example():\n \"\"\"Calls the OR API to solve a shift scheduling problem.\"\"\"\n \n # Endpoint for the workforce scheduling solver in the OR API.\n end_point = \"https://optimization.googleapis.com/v1/scheduling:solveShiftScheduling\"\n \n # Read the API Key from a JSON file with the format:\n # {\"key\": \"your_api_key\"}\n with open(\"credentials.json\") as f:\n credentials = json.load(f)\n api_key = credentials[\"key\"]\n\n # Load the JSON file with the request.\n with open(\"example_request.json\", \"r\") as f:\n json_request = json.load(f)\n\n # Call the API post method.\n response = requests.post(f\"{end_point}?key={api_key}\", json=json_request)\n\n # Process the response.\n if response.ok:\n solution = json.loads(response.content)\n with open(\"example_response.json\", \"w\") as f:\n json.dump(solution, f, indent=2)\n print(solution)\n else:\n error = json.loads(response.content)[\"error\"]\n print(f'Status code {error[\"code\"]}: {error[\"message\"]}')\n\n if __name__ == \"__main__\":\n run_example()\n\nHow to set deadlines?\n---------------------\n\nA deadline determines the maximum wall time that a call to the API should take.\nA user can set both client and server deadlines. In the context of the OR API, a\nserver deadline is the more useful one as it informs the backend server of how\nmuch time it has to receive a request, run the underlying solver, and return a\nresponse. In contrast, client deadlines are useful to set the maximum time that\nthe client application (i.e., the application calling the OR API) is going to\nwait for a response, before timing out.\n\nThe following code snippet sets both a client and a server deadline in the\nsession headers of the request. The client deadline is set to 60 seconds. The\nserver deadline should be less than the client deadline to account for\ncommunication overhead. Here we set the server deadline to be 95% of the client\ndeadline, but this can vary depending on the application. Notice that the API\nkey was also moved to the session headers to make the `session.post(...)` call\ncleaner. \n\n\n\n # Call the API post method.\n session = requests.Session()\n client_deadline_seconds = 60\n server_deadline_seconds = 0.95 * client_deadline_seconds\n session.headers = {\n \"Content-Type\": \"application/json\",\n \"Connection\": \"keep-alive\",\n \"Keep-Alive\": f\"timeout={client_deadline_seconds}, max=1\",\n \"X-Server-Timeout\": f\"{server_deadline_seconds}\",\n \"X-Goog-Api-Key\": api_key,\n }\n response = session.post(end_point, json=json_request, timeout=client_deadline_seconds)"]]