mirror of
https://github.com/tanrax/python-api-frameworks-benchmark
synced 2026-01-09 06:43:38 +01:00
0d7b4488c6
- Introduced a mapping for endpoint URLs to descriptive names for better clarity in graphs. - Updated the graph generation functions to utilize the new display names. - Adjusted sorting of endpoints and frameworks in the combined graph. - Modified benchmark results in `BENCHMARK_RESULTS.md` to reflect updated performance metrics. - Changed data import in FastAPI, Litestar, Django, and Ninja APIs to use `test_data` instead of `shared.data` for consistency.
52 lines
2.1 KiB
Python
52 lines
2.1 KiB
Python
import json
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from pathlib import Path
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from . import objects
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RESPONSE_HEADERS = {f"header_{i}": "value" for i in range(10)}
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RESPONSE_COOKIES = {f"cookie_{i}": "value" for i in range(10)}
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data_path = Path(__file__).parent
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FILE_100B = (data_path / "100B").resolve()
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FILE_1K = (data_path / "1K").resolve()
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FILE_10K = (data_path / "10K").resolve()
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FILE_100K = (data_path / "100K").resolve()
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FILE_500K = (data_path / "500K").resolve()
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FILE_1M = (data_path / "1M").resolve()
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FILE_5M = (data_path / "5M").resolve()
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TEXT_100B = (data_path / "100B.txt").read_text()
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TEXT_1K = (data_path / "1K.txt").read_text()
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TEXT_10K = (data_path / "10K.txt").read_text()
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TEXT_100K = (data_path / "100K.txt").read_text()
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TEXT_500K = (data_path / "500K.txt").read_text()
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TEXT_1M = (data_path / "1M.txt").read_text()
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TEXT_5M = (data_path / "5M.txt").read_text()
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JSON_SIMPLE = {f"key_{i}": "value" for i in range(10)}
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JSON_1K = json.loads((data_path / "1K.json").read_text())
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JSON_10K = json.loads((data_path / "10K.json").read_text())
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JSON_100K = json.loads((data_path / "100K.json").read_text())
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JSON_500K = json.loads((data_path / "500K.json").read_text())
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JSON_1M = json.loads((data_path / "1M.json").read_text())
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JSON_5M = json.loads((data_path / "5M.json").read_text())
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PERSON_DATA_50 = json.loads((data_path / "persons_50.json").read_text())
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PERSON_DATA_100 = json.loads((data_path / "persons_100.json").read_text())
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PERSON_DATA_500 = json.loads((data_path / "persons_500.json").read_text())
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PERSONS_PYDANTIC_50, PERSONS_DATACLASSES_50 = objects.load(PERSON_DATA_50)
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PERSONS_PYDANTIC_100, PERSONS_DATACLASSES_100 = objects.load(PERSON_DATA_100)
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PERSONS_PYDANTIC_500, PERSONS_DATACLASSES_500 = objects.load(PERSON_DATA_500)
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MULTIPART_1K_HEADERS = json.loads((data_path / "MULTIPART_1K_HEADERS.json").read_text())
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MULTIPART_1K = (data_path / "MULTIPART_1K").read_bytes()
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FORM_URLENCODED_1K = (data_path / "FORM_URLENCODED_1K").read_bytes()
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FORM_URLENCODED_1K_HEADERS = json.loads((data_path / "FORM_URLENCODED_1K_HEADERS.json").read_text())
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FILE_UPLOAD_1K_HEADERS = json.loads((data_path / "FILE_UPLOAD_1K_HEADERS.json").read_text())
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