通过 DocuSign CLM 上传文档 API
Uploading a Document via the DocuSign CLM API
您好，您好，
我们正在尝试通过 CLM API 将文档上传到我们的 CLM 实例。
已完成的步骤：
- 通过 API
进行身份验证
- 正在获取有关需要上传文件的文件夹的信息。
我们能够从文件信息中获取 CreateDocumentHref，并将其用作被调用的端点。 uri 如下所示：https://apiuploaduatna11.springcm.com/v2/d0f45cf8-xxxx-xxxx-xxxx-3e32d742a3f3/folders/4b8d3adf-xxxx-xxxx-xxxx-48df378a7098/documents?name=Testing.docx 最后一部分是我们正在上传的文件的名称。
post上传请求的body为：
{
"document": 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hfXE+z+NuIXRkWzvY8PJgPoO4JzaVQYQNmjcpuByFOMHSUXNsirFF7C4hhl33yIgzwSbSuUucHiJWkxyQQyOaMqHLJAa/LGwEwd+GbfbuOD1Gber7+MhEwtlA1KYSU8OMl9BcotjKGMU0j9xFMrKR3F/wkWFwIcHTIabMGYyxEDaZG3xh0L0Gacbu9j26iE0kl2RqQ+4ixvLIPpsGEYpnVs4kifLYK2IKIYqcm0xaSTDzhKg++AElhe6+Q7Dh7ref7duQhuwBombm3HYkMDPP44JOELYp7/LYSLFdTqzR0ZuHRmjvYkzRMRpj7Ny+YsOzmWHzjPTVCLLKZWyzzVVkxqrqJ1hAraSKG4tjiTBCdh+HrIDP3mIj8SxQEiNepPn61AyZAVx1sTVe6WhqpFLC1aG1k7ghYmN/hVpvRsgIK9UX9nhdcMN/73LGQObeB8jg95aBxP7OtjlA1FggC5gDBFWGLd2CiOH+TEQdJy02t8pNzEObuaG8UfTEJHlrBbRR+/gfr/aBCuPVD08t2NOpd+zAk1Q6Rclks74pwm1WNQHjY/LpFzV9NE9uYrhHLNCzmuaspvnf1zRF5/mskjmrZM4qGbvIR6hksuJFPwJaPejRWuLCpz4TQum+XFC8K3TZI+Dsj4cwqDtaaP2QaRZBc7mcgQs50m2HM/kFkdF+hGawTFWvEIql6lA4MyagcNLDVt1qgs7jPTZOR6vV1XNNEEAyG4fCazUOZZpMRxvN7AHeWr3uhfpB64qAkn0fErnFTBJ1C4nmavAtJPTOToVF28KipdQXstBfS6/A5eQg9Ujc91JGEG4Q0mPlp1R+5d1T93SRMc1t1yzbayuup+Npg0Qu3EwSuTCM4PLYHD5lX7czlxr0lCm2aTRbH8PXKols5AaamD3nGM5c3Qc1IzTruBP4yQTNeAb6hMpUiIZJxx3JpaE/JLPMuJB9JKIUpqfS/cdEYu5QEkOs591Ak4xbtdZUe/xEybUrn57l9FfeyXgywSNZMJJ1YS5VYp09IVh12BxI70fjY+eQzvktBIbym1VlwDERcm3NMeG54M6suJGulkfReN+SHVFEZxFa3ij5ZJ7CdXtNJ7cPzXRzV2Z/uZnDUDnpxLfu24XURC5pFlwg6ta054+Pd8nnWGV532CVpu7NXNde5bqiW+LkF0KOWraYQU0xtlDLRk1qp1gQ5JZbh2bRHXHat8Fm1KoLYlVX6t7Wi212eA8ivw/V6pxKoanCrxaOgtUryTQT6NFVdrkvnTknHfdBxe96Qc0PSpWWPyh5da9Savndeqnr+/XqwK9W+r3aQzCKjOKqn649hB/7dLF8b6/Ht97dx6tS+9yIxWWm6+CyFtbv7qu14nf3DgHLPGjUhu16u9cotevdYcnr91qldtDolfqNoNkf9gO/1R4+dJ0jDfa69cBrDFqlRjUISl6joui32qWmV6t1vWa3NfC6D5e2hp2vvlfm1bx2/gUAAP//AwBQSwMEFAAGAAgAAAAhAKXosSYlBAAA8wsAABEAAAB3b3JkL3NldHRpbmdzLnhtbLRWbW/bNhD+PmD/wdDnObJs2cmEOoXtxEuKeB2qFPtMiZRFhG8gKTvusP++IyVaTtMVSYt8scl7ee54fHind+8fORvsiDZUinmUnI2iARGlxFRs59Hn+/XwIhoYiwRGTAoyjw7ERO8vf/3l3T4zxFowMwOAECbj5TyqrVVZHJuyJhyZM6mIAGUlNUcWtnobc6QfGjUsJVfI0oIyag/xeDSaRR2MnEeNFlkHMeS01NLIyjqXTFYVLUn3Fzz0S+K2LleybDgR1keMNWGQgxSmpsoENP6jaKCsA8jue4fYcRbs9snoBcfdS42PHi9JzzkoLUtiDFwQZyFBKvrA6TOgY+wziN0d0UOBezLyq9PMp68DGD8DmJXk8XUYFx1GDJ6nOBS/Dmd2xKF9YZPZjyVzAmCwxfWrUMahrrHzRRbVyBxZ5BDJ65KaHuEOvK+RYS9hTau6o4VGun2THWV4md1uhdSoYJAOUGcAtz/w2blfKKL780vy6OWuDtEl9IgvUvLBPlNEl/BQoMGMRlHsFEBPWeUWWYDIjCKM+Y5TMoJEa4FJhRpm71GRW6nAaofgGOfjDqCskUalJTpXqATflRRWSxbssPxT2hV0GQ2PoPPwPadf5W3/Ag+BOBzsSU/aSAwNZp81mr78BpyDj55MT0N+HUhCv9UUk3tX0NweGFlD8jn9QhYCf2iMpYDoO9NPZPC9BIhwkT8CBe4PiqwJsg2U6Y2C+ZtYM6o2VGupbwUGJrxZMFpVREMACszaAH2olntf5xuCMIy5N4rbGPI3GMMLnNwDLR+W0lrJbw6qhlr/3E16vsen9IVhjU1YfJLSHk1HC/dsr9tMnbbX/H5xvoQp+y3NYpIuO8I+1fw/2jIdTSceLT7mwzM3Av/SYeVIPeCtxwrxQlM02LghGTuLQj8sqQj6gkAnIqeavCmCcjhsFYYjxtZQ3qDwpeEZpkZdkcqv2QbpbY/bWehvSqHDfDhiuf5E9B9aNqrV7jVSLVmDSZKmnScV9o7yIDdNkQcvAb3zRNUI/HGnfZ368uwzC5fvH/0d8iTytkQMP+cdyZjOHUHIBinV8qzYJvOI0W1tE0cNCzsM31J+U2zHnW7sdeNW5zeodCcD627Ry8ZBdmI3CbJJL0uDLO1l0yCb9rJZkM2crIbOoqGpPwDlw9LJK8mY3BN80+ufidoimBopctVOAaCXbAXdWDCDXUYeYaIQTC18oiqKOXp0A2bsadlZM3SQjX1i63TOWD1FcMO3e+TxE2dP8a9ycdOppEDH/MCLfuictYkzaqBBKJhPVuqg+83rkjTDsrx1AzNt5bPJYn19Pm1fWTL1c836HgL3/olUS2QI7nTBddq6/nM9Ha2T82QxnAEzh2k6uRouLlbXw6vV+TKZjhcX15PVv90jDV/rl/8BAAD//wMAUEsDBBQABgAIAAAAIQDxXwcFgwsAAA9zAAAPAAAAd29yZC9zdHlsZXMueG1svJ1bc9u6EcffO9PvwNFT+5DIVznxHOeM4yS1p3aOT+Q0zxAJWahBQuXFl376AiAlQV6C4oJbvyTWZX8A8cd/ieVNv/3+nMrokeeFUNnZaP/93ijiWawSkd2fjX7efXv3YRQVJcsSJlXGz0YvvBj9/umvf/nt6bQoXyQvIg3IitM0PhstynJ5Oh4X8YKnrHivljzTH85VnrJSv8zvxynLH6rlu1ilS1aKmZCifBkf7O1NRg0m70NR87mI+RcVVynPShs/zrnURJUVC7EsVrSnPrQnlSfLXMW8KPRGp7LmpUxka8z+EQClIs5Voeble70xTY8sSofv79m/UrkBHOMABwAwifkzjvGhYYx1pMsRCY4zWXNE4nDCOuMAiqRMFijKwWpcxyaWlWzBioVL5LhOHa9xL6kZozQ+vbrPVM5mUpO06pEWLrJg86/efvOf/ZM/2/fNJow+aS8kKv7C56ySZWFe5rd587J5Zf/7prKyiJ5OWRELcac7qFtJhW7w8jwrxEh/wllRnheCtX64MH+0fhIXpfP2Z5GI0di0WPxXf/jI5Nno4GD1zoXpwdZ7kmX3q/d49u7n1O2J89ZMc89GLH83PTeB42bD6v+dzV2+fmUbXrJY2HbYvOTa5vuTPQOVwmSVg+OPqxc/KjP4rCpV04gF1P+vsWMw4tr9OhdM65SkP+XzaxU/8GRa6g/ORrYt/ebPq9tcqFynnbPRR9umfnPKU3EpkoRnzhezhUj4rwXPfhY82bz/5zebOpo3YlVl+u/Dk4mdBbJIvj7HfGkSkf40Y0aT7yZAmm9XYtO4Df/PCrbfKNEWv+DMZONo/zXCdh+FODARhbO17czq1bbbb6EaOnyrho7eqqHjt2po8lYNnbxVQx/eqiGL+X82JLJEJ377fdgMoO7ieNyI5njMhuZ4vITmeKyC5nicgOZ4Jjqa45nHaI5nmiI4pYp9s9CZ7Iee2d7N3b2PCOPu3iWEcXfvAcK4uxN+GHd3fg/j7k7nYdzd2TuMuztZ47n1Uiu60jbLysEumytVZqrkUcmfh9NYplm2RKXhmZ0ez0k2kgBTZ7ZmRzyYFjP7evcMsSYN35+XptKL1Dyai/sq58XgjvPskUu15BFLEs0jBOa8rHLPiITM6ZzPec6zmFNObDqoqQSjrEpnBHNzye7JWDxLiIdvRSRJCusJrevnhTGJIJjUKYtzNbxripHlh2tRDB8rA4k+V1JyItZ3milmWcNrA4sZXhpYzPDKwGKGFwaOZlRD1NCIRqqhEQ1YQyMat3p+Uo1bQyMat4ZGNG4Nbfi43YlS2hTvrjr2+x+7u5DKnFQY3I+puM+YXgAM3900x0yjW5az+5wtF5E5Kt2OdbcZ285nlbxEdxT7tDWJal1vp8iF3mqRVcMHdItGZa41j8heax6Rwda84Ra70ctks0C7pKlnptWsbDWtJfUy7ZTJql7QDncbK4fPsI0Bvom8ILNBO5ZgBn83y1kjJ0Xm2/RyeMc2rOG2ep2VSLvXIAl6KVX8QJOGL1+WPNdl2cNg0jclpXriCR1xWuaqnmuu5Q+sJL0s/zVdLlghbK20hei/q19djhDdsOXgDbqVTGQ0un19lzIhI7oVxOXdzXV0p5amzDQDQwP8rMpSpWTM5kjg337x2d9pOniui+DshWhrz4kOD1nYhSDYydQklRCR9DJTZIJkH2p5/+QvM8XyhIZ2m/P6CqCSExGnLF3Wiw4Cb+m8+KTzD8FqyPL+xXJhjgtRmeqOBOYcNiyq2b95PDzVfVcRyZGhP6rSHn+0S10bTYcbvkzYwg1fIlg19e7BzF+Cjd3CDd/YLRzVxl5IVhTCewo1mEe1uSse9fYOL/4anpIqn1eSbgBXQLIRXAHJhlDJKs0Kyi22PMINtjzq7SWcMpZHcEjO8v6Ri4RMDAujUsLCqGSwMCoNLIxUgOFX6Diw4ZfpOLDh1+rUMKIlgAOjmmeku3+iszwOjGqeWRjVPLMwqnlmYVTz7PBLxOdzvQim28U4SKo55yDpdjRZydOlyln+QoT8Kvk9IzhAWtNuczU3t4aorL6ImwBpjlFLwsV2jaMS+RefkXXNsCj7RXBElEmpFNGxtc0Ox0ZuX7u2K8zeyTG4C7eSxXyhZMJzzzb5Y3W9PK1vy3jdfduNXoc9r8X9ooymi/XRfhcz2dsZuSrYt8J2N9g25pPV/SxtYTc8EVW66ii8mWJy2D/Yzuit4KPdwZuVxFbkcc9I2OZkd+RmlbwVedIzErb5oWek9elWZJcfvrD8oXUinHTNn3WN55l8J12zaB3c2mzXRFpHtk3Bk65ZtGWV6DyOzdkCqE4/z/jj+5nHH49xkZ+CsZOf0ttXfkSXwX7wR2H27JikadtbXz0B8r5dRPfKnH9Wqj5uv3XCqf9NXVd64ZQVPGrlHPY/cbWVZfzj2Dvd+BG9844f0TsB+RG9MpE3HJWS/JTeucmP6J2k/Ah0toJ7BFy2gvG4bAXjQ7IVpIRkqwGrAD+i93LAj0AbFSLQRh2wUvAjUEYF4UFGhRS0USECbVSIQBsVLsBwRoXxOKPC+BCjQkqIUSEFbVSIQBsVItBGhQi0USECbdTAtb03PMiokII2KkSgjQoRaKPa9eIAo8J4nFFhfIhRISXEqJCCNipEoI0KEWijQgTaqBCBNipEoIwKwoOMCiloo0IE2qgQgTZqfathuFFhPM6oMD7EqJASYlRIQRsVItBGhQi0USECbVSIQBsVIlBGBeFBRoUUtFEhAm1UiEAb1Z4sHGBUGI8zKowPMSqkhBgVUtBGhQi0USECbVSIQBsVItBGhQiUUUF4kFEhBW1UiEAbFSK65mdzitJ3mf0+/qin94r9/qeumk79cG/ldlGH/VGrXvlZ/e9F+KzUQ9R64+GhrTf6QcRMCmUPUXtOq7tce0kE6sTnHxfdd/i49IEPXWruhbDnTAH8qG8kOKZy1DXl3UhQ5B11zXQ3Eqw6j7qyrxsJdoNHXUnX+nJ1UYreHYHgrjTjBO97wruytRMOh7grRzuBcIS7MrMTCAe4Kx87gceRSc6vo497jtNkfX0pIHRNR4dw4id0TUuo1SodQ2P0Fc1P6Kuen9BXRj8BpacXgxfWj0Ir7EeFSQ1thpU63Kh+AlZqSAiSGmDCpYaoYKkhKkxqmBixUkMCVurw5OwnBEkNMOFSQ1Sw1BAVJjXclWGlhgSs1JCAlXrgDtmLCZcaooKlhqgwqeHiDis1JGClhgSs1JAQJDXAhEsNUcFSQ1SY1KBKRksNCVipIQErNSQESQ0w4VJDVLDUENUltT2KsiU1SmEnHLcIcwJxO2QnEJecncCAasmJDqyWHEJgtQS1WmmOq5Zc0fyEvur5CX1l9BNQenoxeGH9KLTCflSY1LhqqU3qcKP6CVipcdWSV2pctdQpNa5a6pQaVy35pcZVS21S46qlNqnDk7OfECQ1rlrqlBpXLXVKjauW/FLjqqU2qXHVUpvUuGqpTeqBO2QvJlxqXLXUKTWuWvJLjauW2qTGVUttUuOqpTapcdWSV2pctdQpNa5a6pQaVy35pcZVS21S46qlNqlx1VKb1LhqySs1rlrqlBpXLXVKjauWbnSIIHgE1DRleRnRPS/ukhWLkg1/OOHPLOeFko88iWg39Rq1leOnrZ+/Mmz723z6+6UeM/MEdOd2paR+AmwDtF+8StY/U2WCTU+i5gfBmrdth5vTtXWLNhA2FS90W3Hz7CpPU80zaNc3Udkn0L5u2POgWtuRzQRcfbsZ0s141d/bGq3Ofpdmwnf02Rqic4xqz/g6+LFJArt6qPszk/VPpuk/rrJEA56anwure5o8sxqlP7/gUt6w+ttq6f+q5POy/nR/zz6y4NXns/rpe9743KZpL2C83Zn6ZfOzbZ7xrp/H31w/4J2SJhe1DLe9mGXoSG/6tvqr+PQ/AAAA//8DAFBLAwQUAAYACAAAACEA7wopTk4BAAB+AwAAFAAAAHdvcmQvd2ViU2V0dGluZ3MueG1snNNfa8IwEADw98G+Q8m7psoUKVZhDMdexmDbB4jp1YYluZKLq+7T79qpc/hi95L/9+MuIfPlztnkEwIZ9LkYDVORgNdYGL/JxfvbajATCUXlC2XRQy72QGK5uL2ZN1kD61eIkU9SwoqnzOlcVDHWmZSkK3CKhliD580Sg1ORp2EjnQof23qg0dUqmrWxJu7lOE2n4sCEaxQsS6PhAfXWgY9dvAxgWURPlanpqDXXaA2Gog6ogYjrcfbHc8r4EzO6u4Cc0QEJyzjkYg4ZdRSHj9Ju5OwvMOkHjC+AqYZdP2N2MCRHnjum6OdMT44pzpz/JXMGUBGLqpcyPt6rbGNVVJWi6lyEfklNTtzetXfkdPa08RjU2rLEr57wwyUd3LZcf9t1Q9h1620JYsEfAutonPmCFYb7gA1BkO2yshabl+dHnsg/v2bxDQAA//8DAFBLAwQUAAYACAAAACEAvy/Xf+8BAAB6BgAAEgAAAHdvcmQvZm9udFRhYmxlLnhtbNyTwY6bMBCG75X6Dsj3DYaEbIqWrNR2I1Wqeqi2D+AYA9ZiG3mckLx9x4awkaKVlh56WA7G/sfzeebHPDyeVBsdhQVpdEGSBSWR0NyUUtcF+fO8u9uQCBzTJWuNFgU5CyCP28+fHvq8MtpBhPkacsUL0jjX5XEMvBGKwcJ0QmOwMlYxh0tbx4rZl0N3x43qmJN72Up3jlNK12TE2PdQTFVJLr4bflBCu5AfW9Ei0WhoZAcXWv8eWm9s2VnDBQD2rNqBp5jUEyZZ3YCU5NaAqdwCmxkrCihMT2iYqfYVkM0DpDeANReneYzNyIgx85ojy3mc9cSR5RXn34q5AkDpymYWJb34Gvtc5ljDoLkminlFZRPurLxHiuc/am0s27dIwq8e4YeLAtiP2L9/hak4Bd23QLbjrxD1uWYKM7+xVu6tDIGOaQMiwdiRtQXBHnY0o76XlK7o0o8k9ht5wywIDxk20kGumJLt+aJCLwGGQCcdby76kVnpqx5CIGsMHGBPC/K0ojR92u3IoCRYHUVldf91VFJ/Vni+jMpyUqhXeOCEZTJweOBMe/DMeHDgxolnqQREv0Qf/TaK6TccSekancjQD+/McpYjNnBnOeL7v3HkfpP9F0fGuxH9lHXj3rwh/l580BsyTmD7FwAA//8DAFBLAwQUAAYACAAAACEANFp2MG0BAAD1AgAAEQAIAWRvY1Byb3BzL2NvcmUueG1sIKIEASigAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAnJJRa4MwEIDfB/sPkneNWjaKqIVt9KmFwRwbe8uSa5tVk5Cktf77Ra120j7t7S733ed5Sbo4VaV3BG24FBmKghB5IKhkXGwz9F4s/TnyjCWCkVIKyFADBi3y+7uUqoRKDa9aKtCWg/GcSZiEqgztrFUJxobuoCImcIRwxY3UFbEu1VusCN2TLeA4DB9xBZYwYgluhb4ajeisZHRUqoMuOwGjGEqoQFiDoyDCF9aCrszNhq7yh6y4bRTcRIfiSJ8MH8G6roN61qFu/gh/rldv3a/6XLS7ooDylNHEcltCnuJL6CJz+P4BavvjMXEx1UCs1PmK1Lp1eIWsDYiOG2rt1vfQ1FIz4wyTzGEMDNVcWXeXvX9y4OiSGLt2l7vhwJ6a609dI22XhiNv30cedcSYpudl9+MB89ySkn6lQ+Vj9vxSLFEeh3Hshw9+PCuieRLHSRh+tRNO+i/C6jzAv42DoF/S9KHmvwAAAP//AwBQSwMEFAAGAAgAAAAhAOHAj3BoAQAAwAIAABAACAFkb2NQcm9wcy9hcHAueG1sIKIEASigAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAnFLLbsIwELxX6j9EuYNDD7RCi1EFqnroA4kUzpazSaw6tmUbBH/fDYE0bW/1aWfWO5odGxbHRicH9EFZM08n4yxN0EhbKFPN04/8afSQJiEKUwhtDc7TE4Z0wW9vYO2tQx8VhoQkTJindYxuxliQNTYijKltqFNa34hI0FfMlqWSuLJy36CJ7C7LpgyPEU2Bxcj1gmmnODvE/4oWVrb+wjY/OdLjkGPjtIjI39pJDawnILdR6Fw1yDOiewBrUWHgE2BdATvrizPuCljWwgsZKTp+D2yA4NE5raSIFCl/VdLbYMuYvJ99Ju00sOEVIO8blHuv4qn1MITwokznoivIlReVF66+WOsRbKTQuKSteSl0QGDfBCxt44QhOdZXpPcZPlxuV20Kl5Gf5GDFnYr1xgmJv5Yd8LAhFgty3xvoCXimd/C6VadZU2FxvfO30ca37T4kn0zHGZ1zXleOtu5/Cv8CAAD//wMAUEsBAi0AFAAGAAgAAAA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}
我在上面添加的 body 包含文档的整个 64 位字符串。这是我们为了测试上传而创建的word文档。
到目前为止，我们使用的资源是：
- DocuSign University CLM API Basics - 这提供了上传文档的步骤，但我们还没有按照这些步骤进行操作。
- API Reference for Document Upload
我们正在尝试使用 DocuSign 演示帐户来完成此操作。这会导致问题吗？
我们在发送请求时收到的错误是：
{
"Error": {
"HttpStatusCode": 500,
"UserMessage": "Error occurred",
"DeveloperMessage": "Error occurred",
"ErrorCode": 100,
"ReferenceId": "e4d0e140-b9e5-49ec-8322-f4aaafc5ef2a"
}
}
如有任何帮助，我们将不胜感激！
使用的文件：
要求Headers：
已解决。 POST 上传文档的方法需要二进制流而不是 json body.
上传文档的POST 方法需要二进制流而不是JSON 正文。
我们会在有机会时更新文档以反映这一点。
您好，您好，
我们正在尝试通过 CLM API 将文档上传到我们的 CLM 实例。
已完成的步骤：
- 通过 API 进行身份验证
- 正在获取有关需要上传文件的文件夹的信息。
我们能够从文件信息中获取 CreateDocumentHref，并将其用作被调用的端点。 uri 如下所示：https://apiuploaduatna11.springcm.com/v2/d0f45cf8-xxxx-xxxx-xxxx-3e32d742a3f3/folders/4b8d3adf-xxxx-xxxx-xxxx-48df378a7098/documents?name=Testing.docx 最后一部分是我们正在上传的文件的名称。
post上传请求的body为：
{
"document": 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}
我在上面添加的 body 包含文档的整个 64 位字符串。这是我们为了测试上传而创建的word文档。
到目前为止，我们使用的资源是：
- DocuSign University CLM API Basics - 这提供了上传文档的步骤，但我们还没有按照这些步骤进行操作。
- API Reference for Document Upload
我们正在尝试使用 DocuSign 演示帐户来完成此操作。这会导致问题吗？
我们在发送请求时收到的错误是：
{
"Error": {
"HttpStatusCode": 500,
"UserMessage": "Error occurred",
"DeveloperMessage": "Error occurred",
"ErrorCode": 100,
"ReferenceId": "e4d0e140-b9e5-49ec-8322-f4aaafc5ef2a"
}
}
如有任何帮助，我们将不胜感激！
使用的文件：
要求Headers：
已解决。 POST 上传文档的方法需要二进制流而不是 json body.
上传文档的POST 方法需要二进制流而不是JSON 正文。 我们会在有机会时更新文档以反映这一点。