django mongo engine

最近要做一个使用mongodb做数据库的django项目，需要利用其存储图片。在django中使用mongoengine作为调用mongodb数据库的方法。探索了一下如何存放图片，记录在这里，但是肯定有更好的解决办法，希望有了解的人指点一下~
首先在晚上百度了一下，找到了很多办法，但是在试的过程中出现了很多问题，浪费了很多时间，最后还是在mongoengine官方文档找到了答案。

mongodb使用GridFS存储和检索大文件，如图片、音频文件、视频文件等。这是一种文件系统，用来存储文件，但数据存储于MongoDB的集合中。GridFS存储文件比其文档大小16MB限制的更大能力。GridFS
会将大文件对象分割成多个小的chunk(文件片段),一般为256k/个,每个chunk将作为MongoDB的一个文档(document)被存储在chunks集合中。
GridFS默认使用两个集合 fs.files 和 fs.chunks 存储该文件的元数据和块。每组块标识其唯一的_id
ObjectID字段。fs.files切断作为父文件。 fs.chunks 文档 files_id 字段链接块到其父文件。

在django中可以这样实现：

然后就照着官方文档来啦：

首先在models.py中创建数据模型

class UserInfor(mongoengine.Document):
userId = mongoengine.IntField(default=0)
img = mongoengine.FileField()
time = mongoengine.DateTimeField(default=datetime.datetime.now)
然后可以在views.py中编写用于存放图片的方法。

imgtmp = open(’./static/goodsImage/cosmos.jpg’, ‘rb’)
temp = UserInfor(userId=userId)
temp.img.put(imgtmp, content_type=‘image/jpeg’)
temp.save()

其中存入图片需要采用put()的方式，这样就成功保存了。看一下效果：
首先在我们原数据库集合里里多出了刚刚存放的文档：

{"_id": "5c1685fb10bf2143e8347174","userId": 0,"img": "5c1685fb10bf2143e8347172","time": "2018-12-17T01:06:03.136Z"
}

其次数据库里多出了两个集合：

fs.files中的文档为：

{"_id": "5c1685fb10bf2143e8347172","contentType": "image/jpeg","md5": "6492f052302b31167ff19c9dc72998df","chunkSize": 261120,"length": 9569,"uploadDate": "2018-12-16T17:06:03.146Z"
}

fs.chunks中的文档为：

{"_id": "5c1685fb10bf2143e8347173","files_id": "5c1685fb10bf2143e8347172","n": 0,"data": "/9j/4AAQSkZJRgABAQEASABIAAD/2wBDAA0JCgsKCA0LCgsODg0PEyAVExISEyccHhcgLikxMC4pLSwzOko+MzZGNywtQFdBRkxOUlNSMj5aYVpQYEpRUk//2wBDAQ4ODhMREyYVFSZPNS01T09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT0//wAARCAEsAeEDASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAIBAwQFBgf/xAA3EAACAgECBQMDAgUDBAMBAAAAAQIRAwQhBRIxQVETYZEGUnEigRQyQqGxI4LBM1PR8BUWQ3L/xAAZAQEBAQEBAQAAAAAAAAAAAAAAAQIDBAX/xAAfEQEBAQEBAAMBAQEBAAAAAAAAARECIQMxQRJRImH/2gAMAwEAAhEDEQA/AMqxw+yPwSscPsj8DpAlufVx49R6cfsj8B6cPsj8D0FDIaT04fZH4J9OH2R+BkhqCbSenD7I/BPpwv8Akj8DAPDS8kPtXwg9OH2r4QxNA0npw+yPwMscH/TH4JSGSFCrHD7I/CBY4L+iPwh0gZEQowT/AJI/CG9OEl/JH4QJEpkCPHBf0R+EQscPsj8IuSTFap7BdJ6cPsj8Iza6EFp21BdfBsoza9JaWVi+Sk+3ISUZqSS+Dp6SePJGnGNr2RyoS5k0/wBi/S5HjzJ9jy251Oo7Zssdh44fZH4QPHB/0L4RKadU0NR6p764ewnpx+yPwg9OH2R+EPQJeShPTh9kfhAscPsj8IegoYuk9OH2x+EHpw+2PwiwgZE9IscF/RH4QenD7I/CHoKGGk9OH2x+EHpx+yPwh6Chgr9OP2R+ET6cPtj8IeiKGGk9OH2R+EHpw+2Pwh6CiYK3jh9kfhAscPsj8FgC4K/Tj9kfgPTh9kfhFhFDIE9OH2R+EHpwX9EfhDhQXVfpw+yPwQ8cL/kj8FtexDXgEqv04fZH4IeOC/oj8IsaZDXkvhpPTh9sfhA8cPsj8IeiKLkC+nD7Y/CI9OH2R+B6CgE9OH2R+CHjh9kfgsIJhqt44fYvgh44fZH4LGKxi6R44P8Aoj8CvHD7I/Ba0Q0Xw1U8cPsXwK8cPtXwWtEDFV8kfsXwA+wDBdRKRKRNUGUJUTRKQVuERRKQyRKiF0lAkW8oONBFaRKQ6VhQCqO41EpUiaJ9haChqCiBaCtxqBIAoEiaIbUU23SXUoJNRTbaSXVs5upzPU/6eNPlvd+Sc+WWqyckbUE/k04sCgulM4fJ8n3I68ce7XNz6SWKCmlsZ4byT6bnoIwUouElaexxNTgeDUyxte6PLtnld811dNiebCppvmWzos5ckHTVofgDU8ixvdTX90daenjbTR156snlYsn65EZJ7PZ+GPSZty6G90v3Ms8U8TqS28nfj5N8rj1xnsJQUMlZNHRzJQV7D0FDTSUFew6jYzx7bMaKmgaLVibV2kDxNK+qGiqiKQ/K/AOI1Scoco6juDiNTVdBQ/KwaoLqtoKHa3Chpqugqh+UhrYBepFDUHKArWxFDtCtFlCtBQ1ENC0LQMahWgqKCqCqAeohoihmDKpGiGO1e5DQCNCtUO0Q1sGi0BNe4BNaErGoEhkhayVRG5WPFD0kZ0V8jSugSo0JJIRxTfgaKwqx3GmRQlC1TCh0idhpqugofl8BQ00rWxFDtBQCpE0TRKQ1NRRztfnbksMH/wD00dDNkWLDKb6JWcLFJ5Mrm3bbs5/J1kb4m10tHgSSZscaRXpq5FRdkfLBs8zuyZMihLZ9zPxJLNghnh1i6ZXqMlye4mLLzRljb2kqoxZrUrTwjL6eaMk/5ZJr8HrtTjrIpLpJJo8PoJOGpUH0do97grUcJw5Vu4rlf7GubiX0uLEpJFer0SlB7djVpVbqzoSwKUK70btxmTXi8mJ4puLTrsCjaOtxPTJJut0cqLa2e3Y7cd7Mcu+MuwvKwaLCGjpHMiVOxrtdASJoAjaffcvxRUo7lKW5bGTTSXQlWU3oq+nwK8CSexapU7ZM5KSM7VYpY2mRy7F+zdPuJKNN0alSqqRKVsdoiqLqEcNhGmXbtCNUIaroVosaIaKEoKGoKARohosaFoLpKIaLKIaBFbQUNRDW5YEaIaLKIaLoQhodoigFfQhoZoGgpGiGh6FaJppaAagKrUkSogkOjLISpDIKJSAjsSkhlDa2Q40iIGhaGBIoWgoZIKAVIlLfcZIaK36AI0r26EUXOFpNITlp7omhaCh62Foo5vGcjjgUE/5nucvDKqNPF5vJnpbqG23kwxlVHn+S7cd+JkdfBqEklY+fVJwas5cMjS6hPI2nucb43BlyW2UxyNSu+gs5W+oluzOtY1qbjljkXVNM9v8ASmrer4fqcM0k4NNJPs0eDxytVdnp/o3JLBrJxk045IdmB6XA+Wde514SUoJpo4spqOV79yyGqcXSZvrnYzLh+JxTT2RydBpIaiWbHJXta/KOhqMnNFtuyjh2eGKbVrmeRfDTX+aHsgwZdDPEnKD5orqn1SKK2OnDVwjqMkJpNO1RzlHZI78dWz1w7klLQUPyhW501giRKTQ6SslpVSATmY8ZbUyGrQqQw08lsmiHvEE7XUGtiLquiKHaFa36FRF0ugrH3Fa3KEa2IodoigFoih6IaKErYhoegoBGiKHaIaASiGtx6IaBCteBWtx2goKRoWixpEVv0ARohpD17BRRW0K0WNENAV0A1AXVa0iUhqCjOpqEOl0BIeK26EoFbddiJpXsWpKgcU17kFNBQzVOgoqFolRtWTV9h4utgESSfQdJdVsDQUQS3apKhaJolIZgWjJrc7xpY8e+Sey9jcl3OJq9ZHBxNucbpVTM9XI1zNvqyelxrTShkac2m031s4NVJrujRq+ISyZW09r2M6lzu/PU82++vRnnh1fkGm0bNFoc2ryKGGDbffwd3T/SWoyRTllS/EX/AM0Y66jUmvJuD8CODXY9uvo2bW+pSfhwZj1/0jrdPBzxcuaKVtRu/g5/06ZHloPlZ3Pp7Py8Qgm9naX/AL+xyMuGUJtNNNdbLtBleHVY5XVSX+TUvrNj3GozJ5G13H0eDLqptQ2iusn2Oc8nqNbnrNFhWDSY4Jb0m/dm70zIrx8PwqNTTm+7f/gy6vh2PFjeTCna3af9jq2VaqSjppuSTVVv3MS3WrI8Nqc7jrLW1s2RpxT8o4+tleoi11b7fk7WNf6cb8I9XxV5/m/BQrW41E0dXEqQDUFFCtC0PRDQC0Sk33GoKAVxIaHBoBEhWtyyiGtwKnEiixoihoRoVotoVouiugodoihoWhWh2gooShWixoGhoraIosaIoCuiGixoigsJRDQ7QNAVtCtFjRDRdFdAOA0xrSJSJS8jUYMKlsMlTDcN2xolE1QLYOoQtWya2GSQdAFoKJoEhoETVgkMgIaJSSBrcEgA8z9T4JY8uPPFNKWzfv2PT0Y+K6RazQZMdfqq1+UZs2LLl14Xnb3vc1aaV7XuY3Fxm4tNNOmvDLsEuWas81mV65dj6d9KYML0EJpJydt+3Y9JSSPnn0xxhaHP6eb/AKc3V30Pf4c2PNG4STXXb3OVmVqXTkhsyH0Jg8r9W8Fx5MMtdp4pZIq8iS2kvP5PCtuMk+6dn1PjGpw4NBmlmnFRcGqb6tp7HynNJcz/ACSffjXuPS4tSoxxSbVScV+3c+gwkpRTT2a2Pk08snw/BNN7Omzt6H6x1enxxx5sMMsYpJSTp0v8ltupH0A4n1DrVi0zxQmlJ9Uvwc//AO1LU4WsMMkG1u5RVL8OzjavUSzScpNtvy7NczUvjHnlebGvLR6KMf0R/CPORXPrMEX3kv8AJ6t40oqvB6Pj8leb5fbGdxCixxpkVsdZXIlBQzTCihKBpWPRDW4CUFFlbEUNCUFD0RRQjQUM1uRQ0I1sRRY0RQCURQ9ENAI0DQ1BVoaK2iKLGiGi6K6ChmgaGhGiGth2iKASiKHaIaKFohoZoiiBWthaHaIoqloBqADa8aXTqRyu9zXkikrXUpSt2znLq2K6YUWqKb2J9N3ui6YpoEi5wSYtJF1LCUSlvVE1uMo9xphaSW/UOW1sWqCa3TQek10ZNMUtU9wSLZxa6ipDSwqRNPwMkMkCEphVpqupbXmiUk2TTHh/qPQPS6t5oKseVt7dmchNppn0Pi2hjrdDLFX6quL8M8FkwyjKWOSqUW017o5fJP2O3x9eY2YMlxTXg62g4zqtE1yZJOK7W1RwdLJuLXdGlt1sZzY1uV7PB9Xrpk2SXVq3+9Fet+tHGLjpsSlKustkv26s8XNtblDm76nC8XXWdSujr+KarXZXk1OZza6Lol+F2OdOVt7iSk2I3ZZMLddjhco5NNLHNJpPo/c1R02CMrWNfu7OXwnJWacG9mk/g6/MXGbVvMoqlsvCK5TtCuQqdujfM9S1o0EOfieFNWlbZ6ttONUcDg2BvPLM1slSs7Vs7yZHn7u0rW9g9kDsCsooGrRNBQLC0FEgELQUMwoYFoKGaCiyhKCh0gpDVVNENFjRDQ1FdBQ9bk0XRW0RRY0RQ0xW0Q0O1RFFCNCtDtA17AVtENFjQrQCUK0O0waKEaIaHaFaARoGh2iGiqUBtgCOg5t9RXuhlFt2glGlZy8aRDZ2aI007M8bX4LYNUL6SicU3SEcWlbRZe9k3adiLVFUzRigqtpMqq5UXJ8sVEWpDvkS6KxG1e2wrbq0Krb3Ei6saTXuUuKVpFltbMOW9xqK1EZRsmnYyY1COLTBJIsbtUCimhq4E7qkea+p+FuM/wCP08LX/wCiS/uelSSe2w0+TJjcJpOLVNPuSzfFlyvmMFy5E10Zr6r2OlxXgc9PlnkwK8L3S7xZzkmlT6knONXrVc1aM01TNbRRkit+xjqNc1mewoZMmOLrmt+EVPNe0YSf9jnjq1aTJ6eqg76un+52ll26o87D+Ik04QSd7Ns36fT5suSC1GqcYtpNQW9fklMdN5V1bS/LotwLmkq3tmHPp9Is8cWnhN01c5zbbf8A4OzwzCpZ4Ktk+hvj7Y68ju6XEsWCMUqdWy2iUqVUSjvvrzooKJogCCUrCiVsNCtEDkMBQomrChpiGiPYmgLKYigJoKH2iCKGIoilrcKGrYAFaIaH7EUBW1ZHKWNEqO5dMU8r8A1XUuaorassphGhaHpkNF1CNCtFrVitDRW0K0W0K0NCUK0WNENF0JQDUAHSulsKk2/JDbvuSm72ZzbS4JJshbIlttdRU2EMmq9yObciu+5Kp0BMN5pl02q6K2VqKXQG76ikQrsdOk6EfXYNwJk22QrQW0OqaAVMH7DUg2aBnhUyVKgaV2Qwgbt2G4AgBxUk1JJp7NM85xjhbwyebCrg3bSXQ9IkROKlBppNNbpllHgZqrM092zZnnCWrzYkkpQm1Xsn2MeX9MtzHc/x041XPHCUXzbSS2kv+ShJtNN7o0JpopmqafvRwrtFsINJN5F+Ei7BKs0FbdtJ2Z4bqty/FFrJF+Gv8ikbcMHLis76RTaX4Wx6PgmNPJKTq0tkcb0vT4rlddcd/wB0jpcMzPFroxvaSqjfxz1nr6egaoiixptb0JJqKuTSXuzrHDEUFGTPxHDitRfPLwjHLieok7hCMV7q2LZFnNrr0DRwcvGc8P0pxcvx0KHxbWy6ZEvahPT+a9LRDPNx4trY7yaaut0bcHGk2lmxtPyin811gKsOox50nCaft3LaCWYAoEgfQIigomgoBQGoigIAKCgAKACgoluuhKCiBGmxaLWhaGhGg5R6Ik6tF0VNCseyGhKhGhWh2iGihGhWh2iKKFoBqADStiY9SGNEypqslwVe4JDdupGsI1QJJOxn0I9qGhq2FYX2BsGlAmgDIolOuhAIBrdEACAAW/YmgSAlBVgK8mOH804r8uguGp+Aq00VPXaSO0tRjX+5FUuL8Ojd6iDrw7JqyPCcfxPBxnPVp8/MmvcyS1LyRSyKpLuu/wCTsfUs8Ot4gs2kfMnFJtqt0claTJLZpfsY6sdeZ4rjkS7jOcHFttFsOEzlu5NL4L1wjFGDlknJpLyc7Za3jneu1O4uCXls0YM79SLbUmnsktjTj0WCNVjTfudCPDdRcVhxqdq6i1t7G5xrN6k+0Ynmy5edp20lfsux0Mccsc0MnKlytPd9TG/4rQySzY5w9pLYvxcQhk2k+V+/QnvP0Syx2MvEs8lUEoe6MeWWTK7nNv8ALK3mio8zaS82Y82ubtYlS8vqSW1ckapyx4knNq/HczZdU8lqH6V/dmTmcnbbbfdl2LHPI0oRbfsbkk+0v/iErfktxYZZJKME230SNun4XOVPJJQT7LdnX0mDBpY/6cbl0cnuy/1PwxkhwtR0UseTec/1N+H2X7HFkvTk1PZLuj0+q1cMWNptOTWy7nm5uMm06dklE45ShJOEmn2aOppOIyTUM+3ZS7fucnBtJqT2XSyyc1y9qNalkr0sckZVT6llbHmdNxF4HyNuWPxe6/B2dNrseSCamnHz4LsYvGfTYAJqStO17EjXNAMloguiKCiQ3AWiKHrYgAWwWBADWDoVMmwFditXuMyH0ASgaJoGiwwjQrRZQrQMI0FDNEUUxFATQAW9RkKhlt0Mrhl0JTFvYAHtN9AaITBvbYKhkDdSKCYAomgAgkAAOpLpK26RTqdRi0uF5M0lGKV7nj+K8ez6uThhk8eHwtm/yTVkteo1fF9DpbWTMnJdluzmZfqvTxbWLBOS7N7HkXK3b3Z0sWnx59NDbeuq6kvWNzifq/WfUetztrDWGPhbv5ObLV5ptvJNzfu2Nl0mXE3s5R8rco2M/wBa1OZF0dQv6oP9mWLUYX2a/Yy0u/QdNLoZuVpvxvDKm5pLw0aoPEtoOHyclSaY6kifzL+m12VG9zJrc0EuRP8ASt2/cy+q4Rb52lXZmKeV5Jpu6vZFnOXS3Xf4LpVrMznNfpjuo+fdnrcGLFiSUUk/ZHhNJxTLoZxnhatdU+jXg7GL6shJJZNK1Kt3GdL+5udT9eP5/j7t3l6nU6fT6rTSU4xk+1q9zx/F+E5NJijqsabwzb28b18HQw8e/iskMUY+lCTSdO21+Tt8TyY8mmjhaXKo0l7Gbf8AHX4eepP+nz5ZJNVbrxY8bbRGWCjmnGPRSaXya+H41kbm1ai6V92Lc9dpF+l0nMlPLaT6Jdzp43jxQdKMIpbvoYs+phhT7vsl/wAmCeoyZmnN7Lol0X7Gfa15HVycWjG1p4PI/L/Sv/LM8tbq8u08/JHxiVf3dsxJ13LYST7lnMk9TVznywdNu+rbtv8ALMWTK1JvoX5Z1Gl0MU5KVq9zUqU09TS2defcX+MpVdr/AAYM2VxfK3uZXladXsKSOs9TGSuL37jYtdkxTUoTp912Zx1kadp0xll/YauPY8P4zsm3a/qi3uvwehwZsefGp42mmfM8GocJqSdNdvJ6HhfEpYJxnF3jf80fAnWMdcb7HsGiBcOWGfGskGmmrHexuXXL6QkSFkXuUTWxDJ/pIYCsCaIa2CIYE0QBANAAENEVuTYMBaBpvYeMW22DTjvQ1cVtCtFrSl23F5WNMV8rAs5fwBdAkSluCZKIgRJBIAgsEAU1gQuhKAAAKChIq1GfHp8bnNpJIbLlhixuc2kkrbPH8d4nPPJxTaT2SXZEtxZNZeM8UnrtQ0m1ji9kujOZYrZDkknZi11kwOW5t0esWFcmS+V9GuxzXLcFJruLNix6bHmx5IpwmmvZhLHCTtwT92jziSbtNp+U6HSnX/UyL/czn/NHeeDG+mOPwJLT4/sXwcVxf/cyP/cyKmumTIv9zH80dj+GxvpGvwQ9NBK02v3OSsmeLuOea/LssWs1Ues1NeGhlg0ajBNttO4rt3MjjX5NOLiKbSzQcfdbonU44TisuFqSbp12ZZb+lYpOSflExlbXkd4pvx8lcoyi99jVg7nDsDWXTyb2c1/k7fE9dywlJPemkr7nnuGaxRhFSe8G2vgTV6qWfJe6iulmZLoXLJqMm3be9mrQaqENJJWlJP8Ayc9ytNPa0JBrGnT3fU1ZpLjZPK5ybbZHqpbWYnl9yHl9x5ImWuhHLezZdDIk+pyVlruOs9dwuOlnzJxaRgeRqTfuJLPzLqUylbJBXrX/AKkZp7NMz3uaMy58TXdboyJ2UPYyZXZKYFye6Zt0moeKaT/lez9vc56bLsb3Vks0ew4NxD+HzLHOV4p9H4Z6dNNJp2mfO9JPmxqn+qPY9hwPWvUab05v/Uhs/dGub+VjufsdQLADblA2FgyLoAYAQygAAXXcBWBL6kMGIaB7E0CW+4MNipui5xTW6EgkuiH5qM1qfRXBJWkVulsWuRXNpsRSATQFQlEgugIqYCSCQAAXRABK6AQSQSQ5KMW26S3bA4/GNc0np8T3f8zvsLcmkm3GLjPElkuKdY4f3Z5jLkeSbk3u/wCxo12Xmy8ie0f7sxSklbMbb67SYH0K8jVCzm2+pW3YUN7kxbbK26ZZDdWTRbF0WKVIoslNgX819xWxFIhyAdyI5hHLcLAZyQQnySbTa23S7lbZDYGlZn1sf1otJOmvcwuddCHJjTG2eWMIN40k+7XUp/ip3u7M7k2t2xbZNMbFqb6g8trqZE7JXkSi9zb7kc3uU2/LC35KRdze4c5TbJsC5T9xlKzOmMpUBZOXKrMrf6n+S+cubG14Vmd3ZnfQ1jJidiS6LUx4umVJjxY0bMGZ45Jp7r+53eF67+HzRzQ3i9pK+x5uLNWDM8crW67ryL/sLNfSsOWGfFHJjacWrTLLPL8E4msU1jnK8U3X4Z6dNNJrdM6S642ZQwABuoK3AAKYgErZIK+xNJByjKKS3BPYnsLVwcqoVxsdMOvQikSaBsZoVoBWm2SotDpJDbMaK69gLNgGjKn0JQpNmtRJJHYETRNgQSmNMBJFgNKp1edafTSyN1S2/J5LPldTzTdt38nW47qObJHCnst3+Tz2uybRxrp1Znq7cb5mesM2222+u7M822/YsySb2XQrasNqmhWi1xIaIKZKtyyG0ULNbDRTUF+CaJJSJir6j8tFCC0WNbivqAr6kNg2K7JpEtiu2TVhQ1SbhuWUCVhMJTJnjlGm1aassUduhqy4ubAmlvFX+xLcHPSG6FjhfQXlYC7Ct7lnKyHB+ChSaJ5WuwU/AEJEpBTGigCMbdedipwafuaYLdHoNL9Mz1ujx6rBmVyTuMlW/wCRmlufby1UFHR1/Dc2izPHlg01026mJxafQG6RDJ0DjQUVVkWWwlSKEOmEbcOZwdp/leT0vCOOPHFQzXLGtveJ5GMqZowZnCaa+PJNws37fTcc4ZsanjacWrTRO55DhXF3pJJc3Nik94t7r8HoFxrRNL9bTa7roanX+ud4z6b2QU4dVg1CvDkjL2T3+C41rNmJC6QvclkE2CYtkphU2yVIhtUQkgG2IbQOxG9yCxMG6Kmw5vcuCzmQFVryBcCkpEdiVZESCAAJAACiiJyUYtvsmyTPr5+no8j6OqsDy+qyvLqZzb6tnG1OR5Msmul0dCcnJtJdznuNN7dzG7XSKGiOVlrW4UVVTixWi1qmK0BTKOxHZL2LJrZ7CNbIzb6GgrHapC4k03+Ak2yyiG6Ee41EMULsFbE1YU32IISVBQ3KxlEBFGxlGhkqGSsuBUraXk6MIpppmPFG8kV1to6UI1Lcz0rlZcbx5HHw9hKtnQ1uJNLIlutmY6EoraCh6CjSQnKCiu41EpblCKCfRE8nsWxQzQXVcY0z3n0tPm4RFd4yaPDpbnrvpDJeDNib3TTQjPXsdjiHDtPr8ThmirraSW6PE8V4Hm0ORtrmxt7SSPoImTHDLBwyQUovqmi4xLj5TPG06YjhTPZ8W+nGubLpFa6uHdfg8xl08sc2pRaa7MzY6S6xVRKLXChXGgqEx4ypi13AJTvK760a9PknNK2/YwJWzdg/Sku5mq6WDJLG04Taa7pnc0PGumPVr2U1/wAnnsbbSsuTXcktiWSz17SE45IqWOSaa2aY1nktJrc2lneObce8W9meh0fEMOrikny5O8X1/Y682VyvOfTZZFkWBUTZKlQrZAU7kI20DYthA2DYAWJUWAAVU0NQJAYqpSAAKAAAGAx8XUnw/Io9e5sOfxnOsWm5F1m6r2GmPMKKjFya6KzJJJq63NueSWNLz1Mc2uhiOkUtK9hWth3ViPqKpH1EY7RFFFclsKo32NEcblSSbbdKjdqOF5tJp8eTLGvUTdeCZpbjmwjUX7kNFqTSoRrehgqaIUW+xdWwyiqGChRG5di3lQcqEFXLsTRY0LRQtE0NRNEpD6WN6iPtudBP9SZl0UbySfhUbGujMVROKlFp9HscrLjeObi+x2EjLrMLlHnS3X+BLg5wNDUQzZS7AiaIoIZOh07RUNFgWJbnf+lsvp8QcH0nFo4MXudXgUuTieB3VySEpfp7miSAs1rkDn8R4Tp9bFtxUMnaSX+ToXYA14PiHBs2km00nF9Gkcuenkm7R9Ny44ZYOGSKafZnneJ8F9NPJhTcOrVboljU6ePeN+xHpTfY3anA8U6a2KorYxdjpPYqhiUd5O32Rdiq7Ysrsjmol9VuhNbItTMEMiT3aX7l8dRj7yQxGtMaMnFqUW010ae5mWoxfeiyGSMukk/3J7Ex3tBxe6x6t0+inX+TsJqSTTTTWzR42rRr0XEMukkotuePvFvp+DpOs+2bzPx6cCnTarFqsfPilflPqi43LrFDFGFYQEEvoQFABYAOiSCSGAAAAJoF1JoCDz3Gcvqatq/0wVHV4jrFpcVRac5LZeDzOrytqm7cnbZm1qTWXLLmk2+nRIzydu7GnJsrYjZWxGxndi07Aih4RcmklYRi26O1wThz1OoUpL9EXbZSupwHhOPHgjnzwTyN2k+x0eJ6NavSShX6lvF+5rilGKSSSWyokscrfXzvUYHizShJU0+hmcd/Y9P9S6JRyLUQW0tn+Tz040yV0l1RVAkPRFBQDCqYMmBWiGiWyL3KCqJRFgmS0dDRRrG33bNLVoo036cUU32suctupzt9VPRA6cWmhHJVswsg5uoxvHka7PdFPc6Wpx+rjdfzLdHNezNy+CGQS0BURRKdMgkCyLOhw1uOrxPupr/Jzom7RNrNB+6/yUv0+hJ7ICIu4JvwibNOQALCwAGrVPoFgBwuO8Jjk08s2CKUo7tLuvY8ltFNPaj6U0mmmrT6o8fx7g0tNlefCm8Mnbr+l+DPU1vm/jz+Se7oqtt7l04O+gii7MyN2loE6Yzi0LRrEMmOmVVuOmBfDPkhVSdeHuaseqUlU1XuuhgTGTomSmuxgz5MM1lwTprw9n+T0fD+JY9XFQlUMq6p9/weJhOUXcW0acWpdptuMl0aYmxLJXu6IaOLwzjKlWLVNX0WTs/ZnbTTVp2n3Ny+OdmFaIapjshpNjTCUA+wFMCJFT3JTM6JBBYFDC5JrHBzk6SVlWp1ENPj5pPd9F5OBreIZsravbx2M241JaTW53nzyySdK6S9jmZ5c0207S2Quo1E2+V7Io9RvqyS763JhmrYjJclVpiNtsoGgUbfQErZfig5NKgLNHppZssYRVtuke10OljpNPHGlv1b8swcE0KxY1mmv1NbJ9jsdRGOqADoRZWcUa7TrVaTJiattWvyeGz43CTi1unTPoJ5Tj+l9LVuaVRmrX57hqXK4DVCtls402VPYlbDEbZLbFdgTuLdBQUADRTckvLFLsEbnb6Il+lbIOkl4LLK0OuhzAuhKTJirdDJBSNGTU4LbnjXu0je0I14EuDkUFbmzUae7lBU+6MbTTpm5dRHcEtyX0BdCoeK3NuhV6jGvLX+TFE3aF8uog/DX+Swr38dopeEiSE04p+UmFlcqkE9yLoAQ1ghQAa9yJxjkg4zScWqaatNEWDe4Ned4r9O3eXRK11eN9f2POSwSx5HGcWmnTTXQ+i37mPW8O0+ti3kjU+0l1/fyTPWp08LkxeEUOFdj0Ot4Rn06ba54dpRX/tHKyYGm7TFalYXEimaHjafQV49+giq02hkS4UyKaZQyYyYqZKJosUmujOrwzjWbStQyt5MXhvdfg46GQMe/wBLqcOrxLJhmmu67r2ZbR4TSazNpMinhm4vuuz/ACem4dxvFqmseZLHley8MsrNjq0BFryBUwq2YyFRKIiQlJRi5N0l3AwcXyShpqi6vqNJHO1uoefO2n+lbJGLI2l5Lv6SqfRnO/bpJ452pSbUkq7MzVRvzxVPYxd2WKVEoEMluVEwi20dzg2gefIpyX6I7u+5ztHCMpLmV7nsdDjjj0sVBUtipa0JKKSSpLZImwIEc0tkWAFE2YeM6dajRNpXOG6/Hc2kpKUWnumiRXz/ADRpszSW50+IwjDUzjFUk3Rz59RW4oZHcd9Re4VDRDQzIfQCEr2Rrxx5YpfJTgSc1+DUjNWHgi1LYriWLoYEpU7GSsUsQVFJCtJjvqI+oRXNVZkz4uZc8Vv3NkitifY5zQKPuW5YpTdIVI6RBGJowPlmn4ZUi2C3RR73RZFl0eGad3BfNF1HN+npOXDY8zupNI6ZXKzEUFEg+g0RQUCAAoKDuSArJB9QQEPdU1aMep4ZptQm3BQl5RtZHcG483q+A5oJvDU11pdTkZdNPFJqcGmuzVHuynNp8OpfJmxxkvPcmNSvCSx+xXKDSO3xDSYsOVxgml+TmziqewajDT8DK66DtLcVdQoC66sGLFKTfNuBPqRT6t/geGVJpptMaMUlsgpMYa0//I5/+/L5Ay8kfAAf/9k="
}

三个文档由同一个_id联系在一起，图片的实际内容被存在chunks(二进制数据)中,和图片有关的meta数据(filename,content_type,还有用户自定义的属性)被存在files集合中。
其他类型文件的存放应该也是类似。

那么怎么将图片数据取出来，让前端可以通过ajax请求得到数据并展示在前端呢？

对于grifs存放的文件的读取，mongoengine的文档也做了详细的说明：

下面是我当时写的一个例子，其实只要照着文档做就好了

userinfor= UserInfor.objects(userId=userId).first()
photo = userinfor.img.read()
#content_type = userinfor.test.content_type
response = HttpResponse(photo)
response['Content-Type'] = 'application/octet-stream'
response['Content-Disposition'] = 'attachment;filename="cosmos.jpg"'
return response

这里是通过二进制流的方式向前端发送图片，下面是vue.js的前端部分：

getInfor() {var that =thisthis.$axios({method: 'post',url: 'http://127.0.0.1:8000/getinfor/',headers: {'Content-type': 'application/x-www-form-urlencoded'},data: Qs.stringify({userId: 0,}),responseType: 'arraybuffer'}).then((res) => {console.log(res.data)#将图片转换成base64格式，以在页面显示return 'data:image/png;base64,' + btoa(new Uint8Array(res.data).reduce((data, byte) => data + String.fromCharCode(byte), ''))}).then(function (data) {保存转换后的Base64图片console.log(data)that.imgUrl = data}).catch((error) => {console.log(error)})
}

这样imgUrl里保存的就是base64格式的图片信息了，大致是这种样子：

data:image/png;base64,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

把这个直接给标签的src赋值就可以显示图片了，也可以直接把上面一段粘贴在浏览器地址栏查看。

<img src="data:image/png;base64,/9j/4AAQSkZJRgABAQEASABIAAD/2wBDAA0JCgsKCA0LCgsODg0PEyAVExISEyccHhcgLikxMC4pLSwzOko+MzZ

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