我正在尝试将 base64 编码的字符串解码为 android 中的位图。 编码后的字符串将以 "image/jpeg;base64,"
开头我使用以下方法:
public static Bitmap decodeBase64(String input)
{
byte[] decodedByte = Base64.decode(input, Base64.DEFAULT);
// also tried using Base64.URL_SAFE , Base64.NO_PADDING
return BitmapFactory.decodeByteArray(decodedByte, 0, decodedByte.length);
}
假设我调用上面的方法是
ImageView get_img=(ImageView)fundViewByID(R.id.getImg);
get_img.setImageBitmap(ImageCache.decodeBase64(url))
当我运行代码时，它会抛出
--- SkImageDecoder::Factory returned null
或
bad base-64 with IllegalArgumentException
下面是base64字符串
data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBxQSEhUUEhQUFRQVFBQUFBQXFxQWGBQWFxUWFhQXFRUYHSggGBwlHBQUITEhJSkrLi4uFx8zODMsNygtLisBCgoKDg0OGxAQGywmHyQsLCwsLC4sLywsLCwsLCwsLCwsLCwvLCwsLCwsLCwsLCwsLCwsLCwsLCwsLCwsLCwsLP/AABEIAJcBTgMBIgACEQEDEQH/xAAbAAACAwEBAQAAAAAAAAAAAAACAwABBAUGB//EAEUQAAEDAgIGBwQHBwMDBQAAAAEAAhEDIRIxBEFRcYGRBSJhobHB0RMykvAGFBVCUuHxU1RicoKT0jOiskNE4hYjNGNz/8QAGwEAAwEBAQEBAAAAAAAAAAAAAAECAwQFBgf/xAAwEQACAgECBAIKAwEBAQAAAAAAAQIRAxIhBDFBURNhBRQiQoGRobHh8FJx0TLxFf/aAAwDAQACEQMRAD8A5+FSEzArwL64+A3FwpCZgVhiA3FwpCbgUwJC3FwpCaGK8CLDcVCmFO9mrDEWFMThUhPwK/ZosNLM8K8Kf7NTAixaWIwqQnezU9mixUxMKQm4FMKLEKhSE3AqLEBYuFITMKmFAWLhVCZhUhAWLhSEyFITDULhSEcKYUBYuFITIUhA7FQpCZCkICxcKoTYVQgdi4VQmwqhFhYuFUJkKQmOxUKQmQqhA7FwpCZCqEDs2imrwJ4YrwLDUb6DPgRexT8CvCjUGkz+zUFNaMCvAjULSZ8CsU0/2aL2aNQtJnwKYFowK8CVhRnwKYFpwKYEWKjNgV4FowKYEWFGbApgWksVYE9RLRmwKYFowKYE7JaM2BTAtGFTAiyaM2BTAtBaqwJ2KjNgQli1FiEtTslozlirCtGBUWJ2TRnwqQnFiosRYhMK8KZhVYUxWLhSEyFUICxeFVhTYVQgdi4VQmQpCB2KhSEyFUIHYvCpCZCqEx2LhSEakICzrYFYYnhivAuTUeroEBivAnhiZTAGYSchrHboy4FeBavZhCKaNQpYmhGBXgT8CsMRqJ0Gf2avAtGBXgRqDwzP7NTAtGBTAjUGgz4FWBacCrAjUT4ZnwKYFowKixPUS4GfAqLFowqFidkuBmLFWBacCrCiyXAzlirAtGBUWp2ToMxYhLFpLUJanZLgZ8KosWgtQlqqyHERhVFqeWocCdk6RGFVhT8CotTsnSILUJanlqohOydIjCqLE+EJaixaRJaqhOIQkJ2FCoVQmkICEBTAhSEUKoTACFCiVIGd8BFC7jaDPwN5JjWN1NaOAXz79JR6RZ9svRUuskcABG1h2Fd9pRY1D9Jdo/X8Fr0Susvp+Tgig78LuRRjRHn7ruRXcxKYlD9JS6RKXoqHWTOP9Qf+HvHqiHR79neF1sSvEpfpHJ2X78S16Lw939P8OWOjX/w8/wAlf2a7a3v9F0wVaj/6GXyLXozB5/M5zOjdp5eq0N0Rn4fFagFMKxnxeWfOXy2NsfBYIcor47/cynRGH7vefVKqdGg5EjfB7wt2FTAiPFZY8pP7/cc+DwT5wXw2+xx6mgvGqd1+7NZ3MIzEb13nMKXUg2cJ3rsx+kpe8vkcGX0RB/8ADr+zhwhIXSq9Hzdh/pPkVifRcM2kcCvSxcRDIrizyM3B5MTqS/wTCqERVLazlcAYVQiUTsnQLIVEIyhJTslwAIQlMKAlVZm4AFDCMoSnZDiAUJRkoSU7J0oFUVZKolOydJUKiFZcqxJi0gkISERKElMWkEhUQrJVEpi0lEICFZchLkxOKKKEqFyEuVENHt/tOl+0bzRt6To5e1ZzAXlfsvRv3al8BUd0Voxz0alyPHWvifZ8z9LuXkerPSVEf9Wn8bfVWelaH7al/cZ6ryrejtGH/b0tvuj17Ef1LR/3el8LT4lHs+Y7l5Hp/tWh+2o7/aM9VX2zo/7xRv8A/Yz1XmXaDo5/7aiT/I35CL6nQ/Y0+A/NHs+YW/I9OOlaH7ej/cZ6qvtfR/29H+4z1XmjoVCP9Cl8DUf1Wh+wo/22+iW3mFvyPSDpah+2pfG31Rt6TonKrT+NvqvKnQ9Gn/42j21+ypf4ohQofu+j/wBmj/iil5hqfkep+06P7an8bPVczprpprQPZVGnC19QltRky0EAYYOMAukiQZDQuSaND930f+zS/wAUDmMAOCjRaTAPUYMQmYMN2hp/pTSXZhr/AKOp9B+nqdbQ6Ti6m2xEYos1zmgw4z9069m0L0P1ymfvs+JvqvGaLo9Km1rG0qYDRA/9thjsktJ4p8t/Zs+Bv+KnT5Dc9+hu6K+k7aukvouLmRVe1nVacQpscXAAXuWYsRtDotYnv+2B1tPELxtCmGuqOLWu9pEjC2xDQ2xOQIaBhy5rQHDLAI7GNHgFco9kOU43s+323+p1ulOlmUS6YAFPFiHWGIuDWAtBmM5juWjR+lWOcxocDjbII3Yh2gRK8+WDU2NXutjiNf5qm9HAYAKYhplvVEk4S2ZB7Sd4CXhyfRi8WCPTdI16dNjn1CMLWue4uAMNaJcZPYsVE0KrntAjBhlwJaDInqzYxrjJc86Lb/SHwhU3RbnqNBMTIGoQO5bQjmj/AM2c+SXDyXt0zT0hSo0gCahAc9lMThd1nuDWixGsrNVa0YsNWm4MDy8zAbgLg/ETYEYXa9RQV9BDgA9rCMTT7ozBDmnmAeCJnR15Apg3vhGsydWsyuuGXiorfc4pYOCl5f0xlHo+o8EtAMEtzzjZ2JGk6O+mQHjDOWKwO2CJm0n0TqeiFgMEQSTGydkiw7N6GtoXtAMeEhr2OAM+80lzXW2Fq3Wfiqb0r9+JzvheCc1HU/34GJtQENcHsLXjqwZnPI5EWUpEujDDpEjCZBtisddkejdFspvc8M95rRAg3DqrteX+q/4jqVudSYA0te2AALbBYdoMQdolbY8ud84rr+/Ax4jhuFVaZNcvlv8AfbyXxEtBc9tNol75wsloJjOMRGUi2aVjtOqJnVG2UmpQDjTNI1WmnLWup4g6DGLrYT1oGratlKlTM4mETImWCZAkkPew5NF75DYtvEzLnFGHqvDOqk+pnL0Jcm161NonqkDbEnbYVidmpKeDhDg+heDhBMiduK3eV1RdnmzxaXzBLkONKdXdP3OAkc5IKH279rRefdZPMha6WczlFdRpeqNRKo6Q9plpbOXuMjlhhMZp1Vsw+JziBPABGmQKUOrfy/JRqITUVV9MqPjE8ujIEzG6yztc5psQNVs79qpRfUTa6MeXoHVO1VT0hzRAFP8At0Xd7mko2dL1mWa4AXOECkAJ7A1JqXRL9+A4xg+bfy/Io1RtHMITVG0cwppGn1qlnOceyLdwWgdP6SGCmKtTC2wAwtN+2Ae9Htdl8/wUsUL5v5fky+1b+JvMI6fW93rRsv4LPU0t7iSRfWQBPHDmhOlmAMTg3OIdE7YTd0JY1e9noBQfscrbQdsPf6LtBXgC8X1PEfTevZTks0Jx1gcT6LRS6LJzqNHFx8l0MIRNCHwmLsNcbksxfZIH/VHCSe8hG3opmurww/8AkVrIUwIXC4xPjMhnHRLNbx8J80xvRNLW8ncP/Eo8A7VDS+fkp+rYxet5O33Db0do4zc/dbzaoND0b+Pm26WSNo5/qlVqloseZ74Cn1bGWuKzPoaxQ0cWg9/5QpVZo+oAby7ZvXGOjt3cSFBozdp+I+qv1XF3ZPrWZdEdbozR6QpgVcD363AloP8ASDAWxpotMikzn/kvNmgBeX8yR4oDQcTADyf5ZNtyfqmO+f1f+ifF5ey+SPQUS1r3PDZJOKCQQLRYak77SjINHCPBecq9H1mjEWuAORgR2A3smu6PqAAvIAOUAkzE5WtbOYVeBi7oh8RxEn1OxW0/FMltxHfO1UdNbrI/3eq4o0Zt5rNtn1TnlFxnM5EhG7o9vVOMunU1gd4a98KlDGuv3Jc8z5r7HUdpTNo5lAdKZtK5o0Sk0kvL4B+7hFtsG45JmiaHoz5cXVR2OfTAz1k/lkquK7mTxyfRGp2mM2kf0n0SXaWzU8/CfRAadEO9ymW//q6TxNQeajdKbTBw0KThNy4teYOqDUkxtACakuif0JeF9Wvr/gmrpOx/eQkjTHzAfc5AXJXVqdIMqEEupUrC7KJLhsAjXlshbdG+kFKizqPe917CmxpOoXchzlW0f35AseNPea/ficBjtJJgNqEzEezOYzGWpdMaETDXUKxcRJLqYBGy+Jg75Wk/TOoR/puPbiY3uuOaTV+lNZ3/AEm/1OmfhaO5S45pe6l8S/G4aG+q/g/ycvpLSzhFOq1zKbSQ1pIkbbYp8QuM11En728yJ8Vo6Rcari5zGiTMAkgbpKyDR4+6D8711YsOlczzuI42MnVX/YL8J91o5z4JQN/dJ4nwIKf7I/gHzwS30Y+6OMLpSo4ZZdT3SDa8bCPnYAhq6QBqO8z6SlOAGbQfnehOGPdFu2EyVBX1HN0sbRxnzV/WRtHesrMOpoG+SikHO3ZfzS1DeOI59Zu3wVY5+fySywbeB9Ch9mDaAR89idgooM1WjOeMeSp9Ru3uPjCplEDds1eKV7ITkd8keaW5SUQm1hkQeRvzUDx/EOAjxVBg2HiVRA28E9yqXQhqgHX/ALfNCNJaTF/NXUFsjxj0WcsGrxd5FS3RcYxZ741h8wlv0sbWjv8ANeZGkuNyTwA8moy8657ZNt1vRcXhs9pyiehHSLNbhyVHpimNc8F5z2jNg58dQVjSm3GE77mO4QjwwU1XI756cbqCo9ME5ADeT/iuC3SIyB4hwt8So6WdrvnbPqqWEh5l0O79qn9LomdL9nP9V552kkm2I6rAHyso1zh+Ibw31lPwbF6xFcz0D+mjsPPyhZqnSJOUDgZ8FzmVOO3Ib4sV3ehvo3U0puNuGnTkgOe89aM8IAuNWpZyxxgrkaQzObqBlZ0tUb7rgBuYJ/2lVV6SqOvicTnJaDfx7l3qf0GqAkGtTDbZCZ3hZf8A0hVDzdgaMnYiS69iGgeJUKeDuims3WzinpGp+IzEWGGO4KxpFTUe2+vfNiu+z6Lk29q4E5AsME6/veS6egfQZudarUJnJvVHGZnkE5ZsEVv9iFDPJ+z9zyLdIqxZ3ZZjIHEWS216pcS2pDjmIG73cu5fQq+l6NRYabcJDc2OLTukZnUvn3Tf0le55borWsbJBdGG+XVAy4gox5FP3ScylD3y3VawPWe4ntgTFhHcrdpdYgtLjGwho8j4rzD9Gc4y+oXE5zLjzKbSBGbnOG+43Oz5yuiOnt9DinKf8mehp1HjNrTaJLWO7yCnN06rGFtQtFrDCPBswuLRrFuVSpHb1h3rbT0t/wDA7kDHAq9EX0Rj42Re8xrmuJlxe7eCfIDvUxgbd4A8Lpra2XVknO1mmPxRdNv2E7Y/S2SdkNW92ZzXcNZ+Ez4+Ss1XkZg9nqDCa6dZAz1iOBJEK2PBzcCD92QZ3bQkCMznvmIG60+IV+1OU88PqtbtHaYtPHxlIqaFGviSOFpRaBx6szuntI7IP/ElBi2HmfWFp+qDbfw4nLmEt1ESBcXjjvBKtMxkhMic7/0oC8bb5XEDcmuiYGIneShka79keQTItCnC3vbiRbhCED+Ic+cLQ2icwO4+KRUfGo8CT5pqS7iqXYjqY7PGUBo7DZRzDtPrzKUaTheRxM/kjUNRfcYKe0gd08IulvwjWeACWaW1o4W5RZGypAiXCNv5oUl1L0sjn0z95vd6Ko2dwy70NRgP3cWqwaO8pLmQ6AwgbfnzRZSj5jXuI+67l5SlPqHWw/PIoMAJz3y7ZsV1Ra7oGyxCWotRQTXxYhw7esedygcROZHd5IX0wRMNsP4vzlRtNoEvBM5XKVstJG40XRMEbxHMKNo9o4AJP1+9nmP5bfE4SnfXJE9U/CPF11KgjreWXKwXteBF41gtaRG4hUx4NsLb6wHDlIKD7QfqED+Zve0C3NFR059+sIFzDZjiTbiqoi0ubGEt1nhAnvEo/rJGTCd0j/jAQfaBz6xjUMIJPJLZptW+Euvrd5AI3JbibhpJgYqTADqc+CR2AKUektEacPs3VqpIAY1xYwDWXVDmdgC59L2rz1sRGwQ0HfGpPoM9mQ8OAcPdAFtc3Nj3gyeMSjtzocZx1f8AN/I9f0N0t7NrvZ0WBxYQBBa6oBJgF17xkdcbhl6M+ljnvLatV1Mmeo4UxTb1oGHCJcTe7iPdsCvK1+kHF7XgzhjODDsp7ZGu2vsVaRULyHYy0xE7NkGxhcTxqTs7I8Qo+yfStK6TbT6wljQLvIcGTexAIOrWsnQH0uNZrmy0OJOokBuQJlx74XhNG0iqJa+o5zHCMUh5GrN0GIOVlj0nQzj9o5wJOZMzl+LPvUPF0o0Wfqme66T+ldak7qQbiLWNrkZCey/BJd9PajmQ+7ry2C0chnq1n15bNEa9jXA3i4JLp3EC3GFhqaO0fh7/AJCuMIXujOeTIlszXpnSjagk2J2Dy/Nc57ZyIO4HvTG09ia0fNl3QjFLY8zJKTe5lbR+R+ab9X1/r3LSLa47PVGx38p3R5SrszpiKdPf89psj9lH4DruR+icHjW2/YT6o8Y2dpvKWolxfMXTaRkLdhafJEKrwJjLeOW1A8tzMgdsR3gq2OGpzsv4e689yB0y21HCItfMeYhEKzpJxZ6yBusBHilvqkZOO4gjxcFHaSQLhnMz3SEml2GnLoxtapB6uInbt4au/IK3VDbFOVtfC6yDSBmYG7EZ3W80X1ozbLtDh5JUkDc5G01JuN0CM9pkwEprjOe3OCfG6T9ZeZAwxE3DieazOqPm4/2x4otITjJmotI90Nk5mPVRtPDfCM9WXj5oHVS6AAeTfLJL9oQL5zlaTzsp8SPmPwp9GjU2qTIuBsmD3TKRXZBJ2nPOY3cEsVTrHbqEbxqR4ichvBnLWnFxfIUta2YYAw5tnaZB7Isl02Z2ueIPEKnPES4ARqFp5JUtOt415jvRp3uw1bVX78AiIPvAHVY+IS6z4F4IEwcuU5ptSm6DDmlo5ngQs4e/Iidwy77Kk0OgQwEdWAeUclYYRmZ7/KUTSNgHM+HkhcxoGK2eUOHMEWRaQU2DVadU/EPVCQQLB3z2mFbw07OBarJEZkdpkeKaYcgA2bujttt3BUaRmxwjtB8QUbQSTDtW0nwS3hw+9PBtuYCL8it+6M+CR7ojK7gO4SVop0GgAuEDbc9xN0Ta7veLWNjeY7JI8lKunvPukN2GLndNzvgpt7HQlbqw6fR4JmCBqkRO6/ktf1VgsST8xwXG0ys91jUcGm0N+/nm/VuCttVzQcssoLr7TiCjW2ytKpHQq9IUWHAHMBy6rXPIPaYgc1PtVoAsXHg3LW7WsVHSBAgDO5IaL7LDs8E8UgTAGewR27dhHNQ5bcx9dkPo1H1ZJOFv4Bab/eOxbm0I3nhPZZc3o5zWlwBnFvJMfJXRbWkEHU6x2CJXFn1m+LSzFW0W5OrO8HWJU0yhDoblAI15p9V0kAza3b3ZrH7adeVu0R2HNPB5k5l2JTe28yDqyI7ZlOD5EWg21/okuM5gO7fm6gcBrDdUEx45LpcX0ZjGS6otrsAjDAnMSeAIMLWyoxxGrme3elUyCLkHYRHjrRUtGkyI4AWUNSfM1TS2RodTjIAd6HEiLnDOeSIOccpEbcJJ8FUXL+RElD+IrFu+eChIOqe/lIV+1Is4a7yE5tEG4g9kK7mZ6Yf0IDBsjwQmRqPbEosDhJiRqgzHAJlJhORvsNibaozRKUo7sUYxlshIrDW07xNuVkQZORnskT3wgry09aW72yO8W7kTC05sa7YW+ZGXGUvFh7w/CyJ+yQy3W4dhBI9OaUa+Hs2534AEdyntYNi7PKAY3p/tS7Mt4dU8REFWvJmcr6r9+ooVWHWe33fGZV4BkCOIB8UD6L/4d56vK8IX0iMyBxJHOCO9UZ12YRoHaeAI8CoJGeIcz3wqa0gGHW2gjPgbKNDh70xuaZ4i6Tm1zQeHfUZSqEZGJtk78pTWOgyRIy96Z4G/LJLD2jIncL+cpTagmxve1wlaYU4j3gB1g4zt1WnUlVWnMGRG13mbqB8Gw43tzbdTHBvbXJw37OqZHcpuPcdPsDScdZjsM+EKzFjiHf8AoEQ01s+7FsnX8SVnqtBvETlaB4R3q05diWo/v/hoLZkTE8UBDp945ZZAX1RwSGgCwjg4DuutFJs5Ejs/QK6iTclyFOJE533n/kFALe6eEfkmGodojtEeMFBjPPWDHj4p7cg3KdXOsHLY+O6QkEgn3eLZy4LQGkbd8h/eJVNJ1kHhHmhRHqMzwDrbGwkE9/qrZMQCYnVJ8E2uwawN+tZNI0BhjqjfICmUPJMuEk+rQVPo91T3jjjVkCdUrTVY5v3GxtsZ1XuI+bKKJSdM3W8bZna/EbtiNcyZ7k5+jEQSMIdfMTAOwW7goonzqyG6uhwYANhjM3sTfIWyCjpLRhLtc5QIyjWooopWVboChTEAmZdOvXrIAsq0mm5omSQMyDHFRRTNbjg7RVKqTmesMna9x+SoylItn88FFE9EdNiU5OVA0asOLX5tG+PmFppFjx94do1bxN1FFCd8zSq5F1NGc28iM5vw7U2iXRMjfH5BRRPkhtWxrtKc3XLdZMEciJ8UTaw2luuBrv2BRRDlSsWncA6SJPXJ7CDvPZlKaykHZkZTlGedwJ2KlFljyOU9LLnjUY2hYols4nHLqkajkMQvbdtWY6Q7FDyPGRE9iiic8sovYUcMJLcZ9otgADxg8DKSdIbJJbBGy3gYUUXRBKa3RzSuL2YWCm6Ze5picp8BbmhGhBvWa8kDO0W4lUoo0xtqkW5SpOw6DpdYujDYSL75hGKjri1pizYEbZ17lFEpwUY2hQm5yplMc8yScvvdu5NNT8WWTjDe6ZKiiyeWVpdzTwY02W4tuW3i8QPGAVkr1YiYzibWOcSROsc1FEeJJNrsLw4tJ9x7W4RiIBBiD6/oipgOHVE9hy3QVFFnHPKUU3XOi5YYxk0m+QP1IOyJYRkAQQdsCAAgcI90hx2EEH0/VRRdsYI4XNidI0gs6tSROrqlU2hOQvnqHmFaizvematVG0TA7WTznxCH2rmmDHL9VFFrbVkJJoa58nqkneBBjO1kgVNQwk3tBEc1FERbYaVuEHuv1Z7QR3zlwSTWvBaZGwjzUUVW7qwik1yP/9k=
最佳答案
字符串 "data:image/jpeg;base64,"不是有效的 base64 编码字符串。所以在解码之前必须将其删除。
给你。
String encodedDataString = "data:image/jpeg;base64,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"
encdoedDataString = encodedDataString.replace("data:image/jpeg;base64,","");
byte[] imageAsBytes = Base64.decode(encodedDataString.getBytes(), 0);
imgView.setImageBitmap(BitmapFactory.decodeByteArray(
imageAsBytes, 0, imageAsBytes.length));
关于android - 图片/jpeg 的 Base64 解码；android 中的 base64，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/30167205/
总的来说，我对ruby还比较陌生，我正在为我正在创建的对象编写一些rspec测试用例。许多测试用例都非常基础，我只是想确保正确填充和返回值。我想知道是否有办法使用循环结构来执行此操作。不必为我要测试的每个方法都设置一个assertEquals。例如:describeitem,"TestingtheItem"doit"willhaveanullvaluetostart"doitem=Item.new#HereIcoulddotheitem.name.shouldbe_nil#thenIcoulddoitem.category.shouldbe_nilendend但我想要一些方法来使用
我试图在一个项目中使用rake，如果我把所有东西都放到Rakefile中，它会很大并且很难读取/找到东西，所以我试着将每个命名空间放在lib/rake中它自己的文件中，我添加了这个到我的rake文件的顶部:Dir['#{File.dirname(__FILE__)}/lib/rake/*.rake'].map{|f|requiref}它加载文件没问题，但没有任务。我现在只有一个.rake文件作为测试，名为“servers.rake”，它看起来像这样:namespace:serverdotask:testdoputs"test"endend所以当我运行rakeserver:testid时
作为我的Rails应用程序的一部分，我编写了一个小导入程序，它从我们的LDAP系统中吸取数据并将其塞入一个用户表中。不幸的是，与LDAP相关的代码在遍历我们的32K用户时泄漏了大量内存，我一直无法弄清楚如何解决这个问题。这个问题似乎在某种程度上与LDAP库有关，因为当我删除对LDAP内容的调用时，内存使用情况会很好地稳定下来。此外，不断增加的对象是Net::BER::BerIdentifiedString和Net::BER::BerIdentifiedArray，它们都是LDAP库的一部分。当我运行导入时，内存使用量最终达到超过1GB的峰值。如果问题存在，我需要找到一些方法来更正我的代
Rails2.3可以选择随时使用RouteSet#add_configuration_file添加更多路由。是否可以在Rails3项目中做同样的事情？ 最佳答案 在config/application.rb中:config.paths.config.routes在Rails3.2(也可能是Rails3.1)中，使用:config.paths["config/routes"] 关于ruby-on-rails-Rails3中的多个路由文件，我们在StackOverflow上找到一个类似的问题
我想为Heroku构建一个Rails3应用程序。他们使用Postgres作为他们的数据库，所以我通过MacPorts安装了postgres9.0。现在我需要一个postgresgem并且共识是出于性能原因你想要pggem。但是我对我得到的错误感到非常困惑当我尝试在rvm下通过geminstall安装pg时。我已经非常明确地指定了所有postgres目录的位置可以找到但仍然无法完成安装:$envARCHFLAGS='-archx86_64'geminstallpg--\--with-pg-config=/opt/local/var/db/postgresql90/defaultdb/po
我正在使用的第三方API的文档状态:"[O]urAPIonlyacceptspaddedBase64encodedstrings."什么是“填充的Base64编码字符串”以及如何在Ruby中生成它们。下面的代码是我第一次尝试创建转换为Base64的JSON格式数据。xa=Base64.encode64(a.to_json) 最佳答案 他们说的padding其实就是Base64本身的一部分。它是末尾的“=”和“==”。Base64将3个字节的数据包编码为4个编码字符。所以如果你的输入数据有长度n和n%3=1=>"=="末尾用于填充n%
我需要从一个View访问多个模型。以前，我的links_controller仅用于提供以不同方式排序的链接资源。现在我想包括一个部分(我假设)显示按分数排序的顶级用户(@users=User.all.sort_by(&:score))我知道我可以将此代码插入每个链接操作并从View访问它，但这似乎不是“ruby方式”，我将需要在不久的将来访问更多模型。这可能会变得很脏，是否有针对这种情况的任何技术？注意事项:我认为我的应用程序正朝着单一格式和动态页面内容的方向发展，本质上是一个典型的网络应用程序。我知道before_filter但考虑到我希望应用程序进入的方向，这似乎很麻烦。最终从任何
我在我的项目中添加了一个系统来重置用户密码并通过电子邮件将密码发送给他，以防他忘记密码。昨天它运行良好(当我实现它时)。当我今天尝试启动服务器时，出现以下错误。=>BootingWEBrick=>Rails3.2.1applicationstartingindevelopmentonhttp://0.0.0.0:3000=>Callwith-dtodetach=>Ctrl-CtoshutdownserverExiting/Users/vinayshenoy/.rvm/gems/ruby-1.9.3-p0/gems/actionmailer-3.2.1/lib/action_mailer
刚入门rails，开始慢慢理解。有人可以解释或给我一些关于在application_controller中编码的好处或时间和原因的想法吗？有哪些用例。您如何为Rails应用程序使用应用程序Controller？我不想在那里放太多代码，因为据我了解，每个请求都会调用此Controller。这是真的？ 最佳答案 ApplicationController实际上是您应用程序中的每个其他Controller都将从中继承的类(尽管这不是强制性的)。我同意不要用太多代码弄乱它并保持干净整洁的态度，尽管在某些情况下ApplicationContr
我想向我的Controller传递一个参数，它是一个简单的复选框，但我不知道如何在模型的form_for中引入它，这是我的观点:{:id=>'go_finance'}do|f|%>Transferirde:para:Entrada:"input",:placeholder=>"Quantofoiganho?"%>Saída:"output",:placeholder=>"Quantofoigasto?"%>Nota:我想做一个额外的复选框，但我该怎么做，模型中没有一个对象，而是一个要检查的对象，以便在Controller中创建一个ifelse，如果没有检查，请帮助我，非常感谢,谢谢