{
    "info": {
        "author": "ClericPy",
        "author_email": "clericpy@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3.8"
        ],
        "description": "# [torequests](https://github.com/ClericPy/torequests) [![PyPI](https://img.shields.io/pypi/v/torequests?style=plastic)](https://pypi.org/project/torequests/)[![GitHub Workflow Status](https://img.shields.io/github/workflow/status/clericpy/torequests/Python%20package?style=plastic)](https://github.com/ClericPy/torequests/actions?query=workflow%3A%22Python+package%22)![PyPI - Wheel](https://img.shields.io/pypi/wheel/torequests?style=plastic)![PyPI - Python Version](https://img.shields.io/pypi/pyversions/torequests?style=plastic)![PyPI - Downloads](https://img.shields.io/pypi/dm/torequests?style=plastic)![PyPI - License](https://img.shields.io/pypi/l/torequests?style=plastic)\r\n\r\n<!-- [![Downloads](https://pepy.tech/badge/torequests)](https://pepy.tech/project/torequests) -->\r\n\r\nBriefly speaking, requests & aiohttp wrapper for asynchronous programming rookie, to shorten the code quantity. \r\n\r\n# Install:\r\n\r\n> pip install torequests -U\r\n\r\n### requirements\r\n\r\npython2.7 / python3.6+\r\n\r\n    | requests\t\t\t# python\r\n    | futures \t\t\t# python2\r\n    | aiohttp >= 3.6.2 \t# python3\r\n\r\n# Features\r\n\r\nInspired by [tomorrow](https://github.com/madisonmay/Tomorrow), to make async-coding brief & smooth, compatible for win32 / python 2&3.\r\n\r\n* Convert any funtions into async-mode with concurrent.futures.\r\n* Wrap requests lib with concurrent.futures to enjoy the concurrent performance.\r\n* Simplify aiohttp, make it `requests-like`.\r\n* Add FailureException to check the context of request failure.\r\n* Add frequency control, prevent from anti-spider based on frequency check.\r\n* Add retry for request. (support `response_validator`)\r\n* Alenty of common crawler utils.\r\n* Compatible with [uniparser]( https://github.com/ClericPy/uniparser )\r\n\r\n# Getting started\r\n\r\n## 1. Async, threads - make functions asynchronous\r\n\r\n```python\r\nfrom torequests import threads, Async\r\nimport time\r\n\r\n\r\n@threads(5)\r\ndef test1(n):\r\n    time.sleep(n)\r\n    return 'test1 ok'\r\n\r\n\r\ndef test2(n):\r\n    time.sleep(n)\r\n    return 'test1 ok'\r\n\r\n\r\nstart = int(time.time())\r\n# here async_test2 is same as test1\r\nasync_test2 = Async(test2)\r\nfuture = test1(1)\r\n# future run in non blocking thread pool\r\nprint(future, ', %s s passed' % (int(time.time() - start)))\r\n# call future.x will block main thread and get the future.result()\r\nprint(future.x, ', %s s passed' % (int(time.time() - start)))\r\n# output:\r\n# <NewFuture at 0x34b1d30 state=running> , 0 s passed\r\n# test1 ok , 1 s passed\r\n```\r\n## 2. tPool - thread pool for async-requests\r\n\r\n```python\r\nfrom torequests.main import tPool\r\nfrom torequests.logs import print_info\r\nfrom torequests.utils import ttime\r\n\r\nreq = tPool()\r\ntest_url = 'http://p.3.cn'\r\n\r\n\r\ndef callback(task):\r\n    return (len(task.content),\r\n            print_info(\r\n                ttime(task.task_start_time), '-> ', ttime(task.task_end_time),\r\n                ',', round(task.task_cost_time * 1000), 'ms'))\r\n\r\n\r\nss = [req.get(test_url, retry=2, callback=callback) for i in range(3)]\r\n# or [i.x for i in ss]\r\nreq.x\r\n# task.cx returns the callback_result\r\nss = [i.cx for i in ss]\r\nprint_info(ss)\r\n# [2020-01-21 16:56:23] temp_code.py(11): 2020-01-21 16:56:23 ->  2020-01-21 16:56:23 , 54 ms\r\n# [2020-01-21 16:56:23] temp_code.py(11): 2020-01-21 16:56:23 ->  2020-01-21 16:56:23 , 55 ms\r\n# [2020-01-21 16:56:23] temp_code.py(11): 2020-01-21 16:56:23 ->  2020-01-21 16:56:23 , 57 ms\r\n# [2020-01-21 16:56:23] temp_code.py(18): [(612, None), (612, None), (612, None)]\r\n\r\n```\r\n\r\n### 2.1 Performance.\r\n\r\n```verilog\r\n[3.7.1 (v3.7.1:260ec2c36a, Oct 20 2018, 14:57:15) [MSC v.1915 64 bit (AMD64)]]: 2000 / 2000, 100.0%, cost 4.2121 seconds, 475.0 qps.\r\n[2.7.15 (v2.7.15:ca079a3ea3, Apr 30 2018, 16:30:26) [MSC v.1500 64 bit (AMD64)]]: 2000 / 2000, 100%, cost 9.4462 seconds, 212.0 qps.\r\n```\r\n\r\n```python\r\nimport timeit\r\nfrom torequests import tPool\r\nimport sys\r\n\r\nreq = tPool()\r\nstart_time = timeit.default_timer()\r\noks = 0\r\ntotal = 2000\r\n# concurrent all the tasks\r\ntasks = [req.get('http://127.0.0.1:8080') for num in range(total)]\r\nfor task in tasks:\r\n    r = task.x\r\n    if r.text == 'ok':\r\n        oks += 1\r\nend_time = timeit.default_timer()\r\nsucc_rate = oks * 100 / total\r\ncost_time = round(end_time - start_time, 4)\r\nversion = sys.version\r\nqps = round(total / cost_time, 0)\r\nprint(\r\n    '[{version}]: {oks} / {total}, {succ_rate}%, cost {cost_time} seconds, {qps} qps.'\r\n    .format(**vars()))\r\n```\r\n\r\n## 3. Requests - aiohttp-wrapper\r\n\r\n```python\r\nfrom torequests.dummy import Requests\r\nfrom torequests.logs import print_info\r\nfrom torequests.utils import ttime\r\nreq = Requests(frequencies={'p.3.cn': (2, 1)})\r\n\r\n\r\ndef callback(task):\r\n    return (len(task.content),\r\n            print_info(\r\n                ttime(task.task_start_time), '->', ttime(task.task_end_time),\r\n                ',', round(task.task_cost_time * 1000), 'ms'))\r\n\r\n\r\nss = [\r\n    req.get('http://p.3.cn', retry=1, timeout=5, callback=callback)\r\n    for i in range(4)\r\n]\r\nreq.x  # this line can be removed\r\nss = [i.cx for i in ss]\r\nprint_info(ss)\r\n# [2020-01-21 18:15:33] temp_code.py(11): 2020-01-21 18:15:32 -> 2020-01-21 18:15:33 , 1060 ms\r\n# [2020-01-21 18:15:33] temp_code.py(11): 2020-01-21 18:15:32 -> 2020-01-21 18:15:33 , 1061 ms\r\n# [2020-01-21 18:15:34] temp_code.py(11): 2020-01-21 18:15:32 -> 2020-01-21 18:15:34 , 2081 ms\r\n# [2020-01-21 18:15:34] temp_code.py(11): 2020-01-21 18:15:32 -> 2020-01-21 18:15:34 , 2081 ms\r\n# [2020-01-21 18:15:34] temp_code.py(20): [(612, None), (612, None), (612, None), (612, None)]\r\n```\r\n\r\n### 3.1 Performance.\r\n\r\n>  aiohttp is almostly 3 times faster than requests + ThreadPoolExecutor, even without uvloop on windows10.\r\n\r\n```verilog\r\n3.7.1 (v3.7.1:260ec2c36a, Oct 20 2018, 14:57:15) [MSC v.1915 64 bit (AMD64)]\r\nsync_test: 2000 / 2000, 100.0%, cost 1.2965 seconds, 1543.0 qps.\r\nasync_test: 2000 / 2000, 100.0%, cost 1.2834 seconds, 1558.0 qps.\r\n\r\nSync usage has little performance lost.\r\n```\r\n\r\n```python\r\nimport asyncio\r\nimport sys\r\nimport timeit\r\n\r\nfrom torequests.dummy import Requests\r\n\r\n\r\ndef sync_test():\r\n    with Requests() as req:\r\n        start_time = timeit.default_timer()\r\n        oks = 0\r\n        total = 2000\r\n        # concurrent all the tasks\r\n        tasks = [req.get('http://127.0.0.1:8080') for num in range(total)]\r\n        req.x\r\n        for task in tasks:\r\n            if task.text == 'ok':\r\n                oks += 1\r\n        end_time = timeit.default_timer()\r\n        succ_rate = oks * 100 / total\r\n        cost_time = round(end_time - start_time, 4)\r\n        qps = round(total / cost_time, 0)\r\n        print(\r\n            f'sync_test: {oks} / {total}, {succ_rate}%, cost {cost_time} seconds, {qps} qps.'\r\n        )\r\n\r\n\r\nasync def async_test():\r\n    req = Requests()\r\n    async with Requests() as req:\r\n        start_time = timeit.default_timer()\r\n        oks = 0\r\n        total = 2000\r\n        # concurrent all the tasks\r\n        tasks = [req.get('http://127.0.0.1:8080') for num in range(total)]\r\n        for task in tasks:\r\n            r = await task\r\n            if r.text == 'ok':\r\n                oks += 1\r\n        end_time = timeit.default_timer()\r\n        succ_rate = oks * 100 / total\r\n        cost_time = round(end_time - start_time, 4)\r\n        qps = round(total / cost_time, 0)\r\n        print(\r\n            f'async_test: {oks} / {total}, {succ_rate}%, cost {cost_time} seconds, {qps} qps.'\r\n        )\r\n\r\n\r\nif __name__ == \"__main__\":\r\n    print(sys.version)\r\n    sync_test()\r\n    loop = asyncio.get_event_loop()\r\n    loop.run_until_complete(async_test())\r\n\r\n```\r\n\r\n### 3.2 using torequests.dummy.Requests in async environment.\r\n\r\n```python\r\nimport asyncio\r\n\r\nimport uvicorn\r\nfrom starlette.applications import Starlette\r\nfrom starlette.responses import PlainTextResponse\r\nfrom torequests.dummy import Requests\r\n\r\napi = Starlette()\r\napi.req = Requests()\r\n\r\n\r\n@api.route('/')\r\nasync def index(req):\r\n    # await for Response or FailureException\r\n    r = await api.req.get('http://p.3.cn', timeout=(1, 1))\r\n    return PlainTextResponse(r.content)\r\n\r\n\r\nif __name__ == \"__main__\":\r\n    uvicorn.run(api)\r\n\r\n```\r\n\r\n### 3.3 using torequests.aiohttp_dummy.Requests for better performance.\r\n\r\n> Removes the frequency_controller & sync usage (task.x) & compatible args of requests for good performance, but remains retry / callback / referer_info.\r\n\r\n```python\r\n# -*- coding: utf-8 -*-\r\n\r\nfrom torequests.aiohttp_dummy import Requests\r\nfrom asyncio import get_event_loop\r\n\r\n\r\nasync def main():\r\n    url = 'http://httpbin.org/json'\r\n    # simple usage, catch_exception defaults to True\r\n    async with Requests() as req:\r\n        r = await req.get(url, retry=1, encoding='u8', timeout=3)\r\n        print(r.ok)\r\n        print(r.url)\r\n        print(r.content[:5])\r\n        print(r.status_code)\r\n        print(r.text[:5])\r\n        print(r.json()['slideshow']['title'])\r\n        print(r.is_redirect)\r\n        print(r.encoding)\r\n    # or use `req = Requests()` without context\r\n    req = Requests()\r\n    r = await req.get(\r\n        url,\r\n        referer_info=123,\r\n        callback=lambda r: r.referer_info + 1,\r\n    )\r\n    print(r)  # 124\r\n\r\n\r\nget_event_loop().run_until_complete(main())\r\n\r\n```\r\n\r\n\r\n## 4. utils: some useful crawler toolkits\r\n\r\n    ClipboardWatcher: watch your clipboard changing.\r\n    Counts: counter while every time being called.\r\n    Null: will return self when be called, and alway be False.\r\n    Regex: Regex Mapper for string -> regex -> object.\r\n    Saver: simple object persistent toolkit with pickle/json.\r\n    Timer: timing tool.\r\n    UA: some common User-Agents for crawler.\r\n    curlparse: translate curl-string into dict of request.\r\n    md5: str(obj) -> md5_string.\r\n    print_mem: show the proc-mem-cost with psutil, use this only for lazinesssss.\r\n    ptime: %Y-%m-%d %H:%M:%S -> timestamp.\r\n    ttime: timestamp -> %Y-%m-%d %H:%M:%S\r\n    slice_by_size: slice a sequence into chunks, return as a generation of chunks with size.\r\n    slice_into_pieces: slice a sequence into n pieces, return a generation of n pieces.\r\n    timeago: show the seconds as human-readable.\r\n    unique: unique one sequence.\r\n    find_one: use regex like Javascript to find one string with index(like [0], [1]).\r\n    find_jsons: find all json substrings from a mass string contains list / dict JSON.\r\n    ...\r\n\r\n\r\n# Benchmarks\r\n> Benchmark of concurrent is not very necessary and accurate, just take a look.\r\n\r\n## Test Server: golang net/http\r\n\r\nSource code: [go_test_server.go](https://github.com/ClericPy/torequests/blob/master/benchmarks/go_test_server.go)\r\n\r\n## Client Testing Code\r\n\r\nSource code: [py_test_client.py](https://github.com/ClericPy/torequests/blob/master/benchmarks/py_test_client.py)\r\n\r\n## Test Result on Windows (without uvloop)\r\n\r\n> Intel(R) Core(TM) i7-8750H CPU @ 2.20GHz (12 CPUs), ~2.2GHz; 12 logical CPUs.\r\n\r\n```verilog\r\nWindows-10-10.0.18362-SP0\r\n3.7.1 (v3.7.1:260ec2c36a, Oct 20 2018, 14:57:15) [MSC v.1915 64 bit (AMD64)]\r\n['aiohttp(3.6.2)', 'torequests(4.9.14)', 'requests(2.23.0)', 'httpx(0.12.1)']\r\n================================================================================\r\ntest_aiohttp             : 2000 / 2000 = 100.0%, cost 1.289s, 1551 qps, 100% standard.\r\ntest_dummy               : 2000 / 2000 = 100.0%, cost 1.397s, 1432 qps,  92% standard.\r\ntest_aiohttp_dummy       : 2000 / 2000 = 100.0%, cost 1.341s, 1491 qps,  96% standard.\r\ntest_httpx               : 2000 / 2000 = 100.0%, cost 4.065s,  492 qps,  32% standard.\r\ntest_tPool               : 2000 / 2000 = 100.0%, cost 5.161s,  388 qps,  25% standard.\r\n```\r\n\r\n## Test Result on Linux (with uvloop)\r\n\r\n> Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz; 1 logical CPU.\r\n\r\n```verilog\r\nLinux-4.15.0-13-generic-x86_64-with-Ubuntu-18.04-bionic\r\n3.7.3 (default, Apr  3 2019, 19:16:38)\r\n[GCC 8.0.1 20180414 (experimental) [trunk revision 259383]]\r\n['aiohttp(3.6.2)', 'torequests(4.9.14)', 'requests(2.23.0)', 'httpx(0.12.1)']\r\n================================================================================\r\ntest_aiohttp             : 2000 / 2000 = 100.0%, cost 0.652s, 3068 qps, 100% standard.\r\ntest_dummy               : 2000 / 2000 = 100.0%, cost 0.802s, 2495 qps,  81% standard.\r\ntest_aiohttp_dummy       : 2000 / 2000 = 100.0%, cost 0.726s, 2754 qps,  90% standard.\r\ntest_httpx               : 2000 / 2000 = 100.0%, cost 2.349s,  852 qps,  28% standard.\r\ntest_tPool               : 2000 / 2000 = 100.0%, cost 2.708s,  739 qps,  24% standard.\r\n```\r\n\r\n## Conclusion\r\n\r\n1. **aiohttp** is the fastest, for the cython utils\r\n   1. aiohttp's qps is 3068 on 1 cpu linux with uvloop, near to golang's 3300.\r\n2. **torequests.dummy.Requests** based on **aiohttp**.\r\n   1. about **8%** performance lost **without** uvloop.\r\n   2. about **20%** performance lost with uvloop.\r\n3. **torequests.aiohttp_dummy.Requests** based on **aiohttp**.\r\n   1. less than **4%** performance lost **without** uvloop.\r\n   2. less than **10%** performance lost with uvloop.\r\n4. **httpx** is faster than **requests + threading,** but not very obviously on linux.\r\n\r\n### PS:\r\n\r\n**golang - net/http** 's performance\r\n\r\n```\r\n`2000 / 2000, 100.00 %, cost 0.26 seconds, 7567.38 qps` on windows (12 cpus)\r\n`2000 / 2000, 100.00 %, cost 0.61 seconds, 3302.48 qps` on linux (1 cpu)\r\n   1. slower than windows, because golang benefit from multiple CPU count\r\n   2. linux 1 cpu, but windows is 12\r\n```\r\n\r\n**golang http client testing code:**\r\n\r\n[go_test_client.go](https://github.com/ClericPy/torequests/blob/master/benchmarks/go_test_client.go)\r\n\r\n# Documentation\r\n> [Document & Usage](https://torequests.readthedocs.io/en/latest/)\r\n\r\n# License\r\n> [MIT license](LICENSE)\r\n\r\n\r\n",
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        "summary": "Async wrapper for requests / aiohttp, and some python crawler toolkits. Let synchronization code enjoy the performance of asynchronous programming. Read more: https://github.com/ClericPy/torequests.",
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