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https://github.com/PaiGramTeam/MibooGram.git
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🐛 Fix Too Many Request in avatar list
This commit is contained in:
parent
47e6b7f750
commit
2ef50e7efe
GPG Key ID:
4CBB3F4FA8C85659
62
pdm.lock
62
pdm.lock
@ -1607,7 +1607,7 @@ files = [
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[[package]]
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name = "pydantic"
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version = "1.10.15"
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version = "1.10.16"
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requires_python = ">=3.7"
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summary = "Data validation and settings management using python type hints"
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groups = ["default"]
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@ -1615,36 +1615,36 @@ dependencies = [
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"typing-extensions>=4.2.0",
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]
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files = [
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{file = "pydantic-1.10.15-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:22ed12ee588b1df028a2aa5d66f07bf8f8b4c8579c2e96d5a9c1f96b77f3bb55"},
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{file = "pydantic-1.10.15-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:75279d3cac98186b6ebc2597b06bcbc7244744f6b0b44a23e4ef01e5683cc0d2"},
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{file = "pydantic-1.10.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:50f1666a9940d3d68683c9d96e39640f709d7a72ff8702987dab1761036206bb"},
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{file = "pydantic-1.10.15-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:82790d4753ee5d00739d6cb5cf56bceb186d9d6ce134aca3ba7befb1eedbc2c8"},
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{file = "pydantic-1.10.15-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:d207d5b87f6cbefbdb1198154292faee8017d7495a54ae58db06762004500d00"},
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{file = "pydantic-1.10.15-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e49db944fad339b2ccb80128ffd3f8af076f9f287197a480bf1e4ca053a866f0"},
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{file = "pydantic-1.10.15-cp310-cp310-win_amd64.whl", hash = "sha256:d3b5c4cbd0c9cb61bbbb19ce335e1f8ab87a811f6d589ed52b0254cf585d709c"},
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{file = "pydantic-1.10.15-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c3d5731a120752248844676bf92f25a12f6e45425e63ce22e0849297a093b5b0"},
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{file = "pydantic-1.10.15-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c365ad9c394f9eeffcb30a82f4246c0006417f03a7c0f8315d6211f25f7cb654"},
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{file = "pydantic-1.10.15-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3287e1614393119c67bd4404f46e33ae3be3ed4cd10360b48d0a4459f420c6a3"},
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{file = "pydantic-1.10.15-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:6a51a1dd4aa7b3f1317f65493a182d3cff708385327c1c82c81e4a9d6d65b2e4"},
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{file = "pydantic-1.10.15-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:4e316e54b5775d1eb59187f9290aeb38acf620e10f7fd2f776d97bb788199e53"},
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{file = "pydantic-1.10.15-cp311-cp311-win_amd64.whl", hash = "sha256:0d142fa1b8f2f0ae11ddd5e3e317dcac060b951d605fda26ca9b234b92214986"},
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{file = "pydantic-1.10.15-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5e09c19df304b8123938dc3c53d3d3be6ec74b9d7d0d80f4f4b5432ae16c2022"},
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{file = "pydantic-1.10.15-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7ac9237cd62947db00a0d16acf2f3e00d1ae9d3bd602b9c415f93e7a9fc10528"},
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{file = "pydantic-1.10.15-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:584f2d4c98ffec420e02305cf675857bae03c9d617fcfdc34946b1160213a948"},
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{file = "pydantic-1.10.15-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bbc6989fad0c030bd70a0b6f626f98a862224bc2b1e36bfc531ea2facc0a340c"},
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{file = "pydantic-1.10.15-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:d573082c6ef99336f2cb5b667b781d2f776d4af311574fb53d908517ba523c22"},
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{file = "pydantic-1.10.15-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:6bd7030c9abc80134087d8b6e7aa957e43d35714daa116aced57269a445b8f7b"},
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{file = "pydantic-1.10.15-cp38-cp38-win_amd64.whl", hash = "sha256:3350f527bb04138f8aff932dc828f154847fbdc7a1a44c240fbfff1b57f49a12"},
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{file = "pydantic-1.10.15-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:51d405b42f1b86703555797270e4970a9f9bd7953f3990142e69d1037f9d9e51"},
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{file = "pydantic-1.10.15-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a980a77c52723b0dc56640ced396b73a024d4b74f02bcb2d21dbbac1debbe9d0"},
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{file = "pydantic-1.10.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:67f1a1fb467d3f49e1708a3f632b11c69fccb4e748a325d5a491ddc7b5d22383"},
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{file = "pydantic-1.10.15-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:676ed48f2c5bbad835f1a8ed8a6d44c1cd5a21121116d2ac40bd1cd3619746ed"},
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{file = "pydantic-1.10.15-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:92229f73400b80c13afcd050687f4d7e88de9234d74b27e6728aa689abcf58cc"},
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{file = "pydantic-1.10.15-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:2746189100c646682eff0bce95efa7d2e203420d8e1c613dc0c6b4c1d9c1fde4"},
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{file = "pydantic-1.10.15-cp39-cp39-win_amd64.whl", hash = "sha256:394f08750bd8eaad714718812e7fab615f873b3cdd0b9d84e76e51ef3b50b6b7"},
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{file = "pydantic-1.10.15-py3-none-any.whl", hash = "sha256:28e552a060ba2740d0d2aabe35162652c1459a0b9069fe0db7f4ee0e18e74d58"},
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{file = "pydantic-1.10.15.tar.gz", hash = "sha256:ca832e124eda231a60a041da4f013e3ff24949d94a01154b137fc2f2a43c3ffb"},
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{file = "pydantic-1.10.16-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1a539ac40551b01a85e899829aa43ca8036707474af8d74b48be288d4d2d2846"},
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{file = "pydantic-1.10.16-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8a4fcc7b0b8038dbda2dda642cff024032dfae24a7960cc58e57a39eb1949b9b"},
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{file = "pydantic-1.10.16-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4660dd697de1ae2d4305a85161312611f64d5360663a9ba026cd6ad9e3fe14c3"},
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{file = "pydantic-1.10.16-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:900a787c574f903a97d0bf52a43ff3b6cf4fa0119674bcfc0e5fd1056d388ad9"},
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{file = "pydantic-1.10.16-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:d30192a63e6d3334c3f0c0506dd6ae9f1dce7b2f8845518915291393a5707a22"},
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{file = "pydantic-1.10.16-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:16cf23ed599ca5ca937e37ba50ab114e6b5c387eb43a6cc533701605ad1be611"},
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{file = "pydantic-1.10.16-cp310-cp310-win_amd64.whl", hash = "sha256:8d23111f41d1e19334edd51438fd57933f3eee7d9d2fa8cc3f5eda515a272055"},
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{file = "pydantic-1.10.16-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ef287b8d7fc0e86a8bd1f902c61aff6ba9479c50563242fe88ba39692e98e1e0"},
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{file = "pydantic-1.10.16-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b9ded699bfd3b3912d796ff388b0c607e6d35d41053d37aaf8fd6082c660de9a"},
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{file = "pydantic-1.10.16-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:daeb199814333e4426c5e86d7fb610f4e230289f28cab90eb4de27330bef93cf"},
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{file = "pydantic-1.10.16-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5973843f1fa99ec6c3ac8d1a8698ac9340b35e45cca6c3e5beb5c3bd1ef15de6"},
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{file = "pydantic-1.10.16-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:c6b8a7788a8528a558828fe4a48783cafdcf2612d13c491594a8161dc721629c"},
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{file = "pydantic-1.10.16-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:8abaecf54dacc9d991dda93c3b880d41092a8924cde94eeb811d7d9ab55df7d8"},
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{file = "pydantic-1.10.16-cp311-cp311-win_amd64.whl", hash = "sha256:ddc7b682fbd23f051edc419dc6977e11dd2dbdd0cef9d05f0e15d1387862d230"},
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{file = "pydantic-1.10.16-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:4fa86469fd46e732242c7acb83282d33f83591a7e06f840481327d5bf6d96112"},
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{file = "pydantic-1.10.16-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:89c2783dc261726fe7a5ce1121bce29a2f7eb9b1e704c68df2b117604e3b346f"},
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{file = "pydantic-1.10.16-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:78e59fa919fa7a192f423d190d8660c35dd444efa9216662273f36826765424b"},
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{file = "pydantic-1.10.16-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b7e82a80068c77f4b074032e031e642530b6d45cb8121fc7c99faa31fb6c6b72"},
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{file = "pydantic-1.10.16-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:d82d5956cee27a30e26a5b88d00a6a2a15a4855e13c9baf50175976de0dc282c"},
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{file = "pydantic-1.10.16-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:4b7b99424cc0970ff08deccb549b5a6ec1040c0b449eab91723e64df2bd8fdca"},
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{file = "pydantic-1.10.16-cp38-cp38-win_amd64.whl", hash = "sha256:d97a35e1ba59442775201657171f601a2879e63517a55862a51f8d67cdfc0017"},
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{file = "pydantic-1.10.16-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9d91f6866fd3e303c632207813ef6bc4d86055e21c5e5a0a311983a9ac5f0192"},
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{file = "pydantic-1.10.16-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d8d3c71d14c8bd26d2350c081908dbf59d5a6a8f9596d9ef2b09cc1e61c8662b"},
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{file = "pydantic-1.10.16-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b73e6386b439b4881d79244e9fc1e32d1e31e8d784673f5d58a000550c94a6c0"},
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{file = "pydantic-1.10.16-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5f039881fb2ef86f6de6eacce6e71701b47500355738367413ccc1550b2a69cf"},
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{file = "pydantic-1.10.16-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:3895ddb26f22bdddee7e49741486aa7b389258c6f6771943e87fc00eabd79134"},
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{file = "pydantic-1.10.16-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:55b945da2756b5cef93d792521ad0d457fdf2f69fd5a2d10a27513f5281717dd"},
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{file = "pydantic-1.10.16-cp39-cp39-win_amd64.whl", hash = "sha256:22dd265c77c3976a34be78409b128cb84629284dfd1b69d2fa1507a36f84dc8b"},
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{file = "pydantic-1.10.16-py3-none-any.whl", hash = "sha256:aa2774ba5412fd1c5cb890d08e8b0a3bb5765898913ba1f61a65a4810f03cf29"},
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{file = "pydantic-1.10.16.tar.gz", hash = "sha256:8bb388f6244809af69ee384900b10b677a69f1980fdc655ea419710cffcb5610"},
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]
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[[package]]
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@ -190,6 +190,10 @@ class AvatarListPlugin(Plugin):
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avatar_datas: List[AvatarData] = await self.get_avatars_data(
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characters, client, None if all_avatars else MAX_AVATAR_COUNT
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)
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if not avatar_datas:
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reply_message = await message.reply_html("服务器熟啦 ~ 请稍后再试")
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self.add_delete_message_job(reply_message, delay=20)
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return
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except SimnetBadRequest as e:
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if e.ret_code == -502002:
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reply_message = await message.reply_html("请先在米游社中使用一次<b>养成计算器</b>后再使用此功能~")
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@ -65,7 +65,7 @@ pluggy==1.5.0
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psutil==5.9.8
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pyaes==1.6.1
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pycparser==2.22; platform_python_implementation != "PyPy"
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pydantic==1.10.15
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pydantic==1.10.16
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pyee==11.1.0
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pygments==2.18.0
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pyrogram==2.0.106
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