// upload is the HTTP handler for uploading images; it handles "/".
func upload(w http.ResponseWriter, r *http.Request) {
if r.Method != "POST" {
// No upload; show the upload form.
templates.ExecuteTemplate(w, "upload.html", nil)
return
}
f, _, err := r.FormFile("image")
check(err)
defer f.Close()
// Grab the image data
var buf bytes.Buffer
io.Copy(&buf, f)
i, _, err := image.Decode(&buf)
check(err)
// Resize if too large, for more efficient moustachioing.
// We aim for less than 1200 pixels in any dimension; if the
// picture is larger than that, we squeeze it down to 600.
const max = 1200
if b := i.Bounds(); b.Dx() > max || b.Dy() > max {
// If it's gigantic, it's more efficient to downsample first
// and then resize; resizing will smooth out the roughness.
if b.Dx() > 2*max || b.Dy() > 2*max {
w, h := max, max
if b.Dx() > b.Dy() {
h = b.Dy() * h / b.Dx()
} else {
w = b.Dx() * w / b.Dy()
}
i = resize.Resample(i, i.Bounds(), w, h)
b = i.Bounds()
}
w, h := max/2, max/2
if b.Dx() > b.Dy() {
h = b.Dy() * h / b.Dx()
} else {
w = b.Dx() * w / b.Dy()
}
i = resize.Resize(i, i.Bounds(), w, h)
}
// Encode as a new JPEG image.
buf.Reset()
err = jpeg.Encode(&buf, i, nil)
check(err)
// Create an App Engine context for the client's request.
c := appengine.NewContext(r)
// Save the image under a unique key, a hash of the image.
key := datastore.NewKey(c, "Image", keyOf(buf.Bytes()), 0, nil)
_, err = datastore.Put(c, key, &Image{buf.Bytes()})
check(err)
// Redirect to /edit using the key.
http.Redirect(w, r, "/edit?id="+key.StringID(), http.StatusFound)
}
func cmdImageResample(fr *Frame, argv []T) T {
imgT, widthT, heightT := Arg3(argv)
img := imgT.Raw().(image.Image)
width := int(widthT.Int())
height := int(heightT.Int())
z := resize.Resample(img, img.Bounds(), width, height)
return MkValue(R.ValueOf(z))
}
func handler(w http.ResponseWriter, r *http.Request) {
get := func(n string) int {
i, _ := strconv.Atoi(r.FormValue(n))
return i
}
myurl := "https://s3.amazonaws.com/lenses_s3/uploads/IMG_1762.JPG"
res, err := http.Get(myurl)
if err != nil {
log.Fatal(err)
}
img, err := ioutil.ReadAll(res.Body)
if err != nil {
log.Fatal(err)
}
res.Body.Close()
rdr := bytes.NewReader(img)
i, _, err := image.Decode(rdr)
check(err)
// Resize if too large, for more efficient moustachioing.
// We aim for less than 1200 pixels in any dimension; if the
// picture is larger than that, we squeeze it down to 600.
max := 0
if x := get("x"); x != 0 {
max = x
} else {
max = 1200
}
if b := i.Bounds(); b.Dx() > max || b.Dy() > max {
// If it's gigantic, it's more efficient to downsample first
// and then resize; resizing will smooth out the roughness.
if b.Dx() > 2*max || b.Dy() > 2*max {
w, h := max, max
if b.Dx() > b.Dy() {
h = b.Dy() * h / b.Dx()
} else {
w = b.Dx() * w / b.Dy()
}
i = resize.Resample(i, i.Bounds(), w, h)
b = i.Bounds()
}
w, h := max/2, max/2
if b.Dx() > b.Dy() {
h = b.Dy() * h / b.Dx()
} else {
w = b.Dx() * w / b.Dy()
}
i = resize.Resize(i, i.Bounds(), w, h)
}
// Deliver image
w.Header().Set("Content-type", "image/jpeg")
jpeg.Encode(w, i, nil)
}
// 99.9% of this was stolen from
// http://goo.gl/lgkTC
func extractImageFromPost(name string, r *http.Request) []byte {
f, _, err := r.FormFile(name)
check(err)
defer f.Close()
// Grab the image data
buf := new(bytes.Buffer)
io.Copy(buf, f)
i, _, err := image.Decode(buf)
check(err)
// We aim for less than 400 pixels in any dimension; if the
// picture is larger than that, we squeeze it down
const max = 800
if b := i.Bounds(); b.Dx() > max || b.Dy() > max {
// If it's gigantic, it's more efficient to downsample first
// and then resize; resizing will smooth out the roughness.
if b.Dx() > 2*max || b.Dy() > 2*max {
w, h := max, max
if b.Dx() > b.Dy() {
h = b.Dy() * h / b.Dx()
} else {
w = b.Dx() * w / b.Dy()
}
i = resize.Resample(i, i.Bounds(), w, h)
b = i.Bounds()
}
w, h := max/2, max/2
//w, h := max, max
if b.Dx() > b.Dy() {
h = b.Dy() * h / b.Dx()
} else {
w = b.Dx() * w / b.Dy()
}
i = resize.Resize(i, i.Bounds(), w, h)
}
// Encode as a new JPEG image.
buf.Reset()
err = jpeg.Encode(buf, i, &jpeg.Options{Quality: 95})
check(err)
// return JPEG
return buf.Bytes()
}
//调整图片分辨率，生成新的分辨率的图片文件
// PUT /pic/width-height , body : {name=/a.jpg&width=40&height=30}
// 生成文件： /a.jpg.40.30.jpg 如果该文件已经存在，则直接返回
func TuningPicWH(w http.ResponseWriter, r *http.Request, serverConfig map[string]string) {
name, sWidth, sHeight := r.FormValue("name"), r.FormValue("width"), r.FormValue("height")
mylog.Info("put /pic/width-height, {name = %s}", name)
if name == "" {
panic(errors.New("Put /pic/width-height interface need 'name' param"))
}
if sWidth == "" {
panic(errors.New("Put /pic/width-height interface need 'width' param"))
}
if sHeight == "" {
panic(errors.New("Put /pic/width-height interface need 'height' param"))
}
width, err := strconv.ParseInt(sWidth, 10, 0)
if err != nil {
panic(err)
}
height, err := strconv.ParseInt(sHeight, 10, 0)
if err != nil {
panic(err)
}
storePath, _ := serverConfig["storePath"]
absPath := storePath + "/" + strings.Trim(name, "/")
sufix := getSufix(name)
tunedAbsPath := absPath + "." + sWidth + "." + sHeight + "." + sufix
_, err = os.Open(tunedAbsPath)
if err != nil {
//文件不存在，进行调整，生成新的文件
inFile, err := os.Open(absPath)
if err != nil {
panic(err)
}
defer inFile.Close()
img, _, err := image.Decode(inFile)
if err != nil {
panic(err)
}
newImg := resize.Resample(img, image.Rect(0, 0, img.Bounds().Max.X, img.Bounds().Max.Y), int(width), int(height))
outFile, err := os.Create(tunedAbsPath)
if err != nil {
panic(err)
}
defer outFile.Close()
if sufix == "jpg" || sufix == "jpeg" || sufix == "JPG" || sufix == "JPEG" {
err = jpeg.Encode(outFile, newImg, &jpeg.Options{100})
if err != nil {
panic(err)
}
} else if sufix == "png" || sufix == "PNG" {
err = png.Encode(outFile, newImg)
if err != nil {
panic(err)
}
}
}
}
// upload is the HTTP handler for uploading images; it handles "/".
func upload(w http.ResponseWriter, r *http.Request) {
c := appengine.NewContext(r)
var imgprops appimage.ServingURLOptions
imgprops.Secure = true
imgprops.Size = 180
imgprops.Crop = false
if s, ok := sess.IsSess(w, r, c); ok {
u, _ := model.GetCta(c, s.User)
emp, err := u.GetEmpresa(c, r.FormValue("IdEmp"))
if err != nil {
http.Error(w, err.Error(), http.StatusInternalServerError)
return
}
imgo := model.GetLogo(c, r.FormValue("IdEmp"))
if imgo == nil {
imgo = new(model.Image)
imgo.IdEmp = emp.IdEmp
}
fd := imgToForm(*imgo)
tc := make(map[string]interface{})
tc["Sess"] = s
tc["Empresa"] = emp
tc["FormData"] = fd
if r.Method != "POST" {
// No upload; show the upload form.
micrositio(w, r)
return
}
idemp := r.FormValue("IdEmp")
sp1 := r.FormValue("Sp1")
sp2 := r.FormValue("Sp2")
f, _, err := r.FormFile("image")
model.Check(err)
defer f.Close()
// Grab the image data
var buf bytes.Buffer
io.Copy(&buf, f)
i, _, err := image.Decode(&buf)
if err != nil {
if r.FormValue("tipo") == "async" {
//w.Header().Set("Content-Type", "application/json")
fmt.Fprintf(w, "<p>'%s'</p>", "No se actualizó el logotipo, formato no aceptado")
} else {
tc["Error"] = struct{ Badformat string }{"badformat"}
micrositioTpl.Execute(w, tc)
}
return
}
const max = 600
// We aim for less than max pixels in any dimension.
if b := i.Bounds(); b.Dx() > max || b.Dy() > max {
// If it's gigantic, it's more efficient to downsample first
// and then resize; resizing will smooth out the roughness.
if b.Dx() > 2*max || b.Dy() > 2*max {
w, h := max*2, max*2
if b.Dx() > b.Dy() {
h = b.Dy() * h / b.Dx()
} else {
w = b.Dx() * w / b.Dy()
}
i = resize.Resample(i, i.Bounds(), w, h)
b = i.Bounds()
}
w, h := max, max
if b.Dx() > b.Dy() {
h = b.Dy() * h / b.Dx()
} else {
w = b.Dx() * w / b.Dy()
}
i = resize.Resize(i, i.Bounds(), w, h)
}
// Encode as a new JPEG image.
buf.Reset()
err = jpeg.Encode(&buf, i, nil)
if err != nil {
if r.FormValue("tipo") == "async" {
fmt.Fprintf(w, "<p>'%s'</p>", "No se actualizó el logotipo, formato no aceptado")
} else {
tc["Error"] = struct{ Badencode string }{"badencode"}
micrositioTpl.Execute(w, tc)
}
return
}
var blobkey appengine.BlobKey
blob, err := blobstore.Create(c, "image/jpeg")
if err != nil {
c.Errorf("blobstore Create: %v", idemp)
}
_, err = blob.Write(buf.Bytes())
if err != nil {
c.Errorf("blobstore Write: %v", idemp)
}
err = blob.Close()
if err != nil {
c.Errorf("blobstore Close: %v", idemp)
}
blobkey, err = blob.Key()
if err != nil {
c.Errorf("blobstore Key Gen: %v", idemp)
}
if url, err := appimage.ServingURL(c, blobkey, &imgprops); err != nil {
c.Errorf("Cannot construct EmpLogo ServingURL : %v", idemp)
} else {
// Save the image under a unique key, a hash of the image.
img := &model.Image{
Data: buf.Bytes(), IdEmp: idemp, IdImg: model.RandId(20),
Kind: "EmpLogo", Name: imgo.Name, Desc: imgo.Desc,
Sizepx: 0, Sizepy: 0, Url: imgo.Url, Type: "",
Sp1: sp1, Sp2: sp2, Sp3: string(blobkey), Sp4: url.String(),
Np1: 0, Np2: 0, Np3: 0, Np4: 0,
}
_, err = model.PutLogo(c, img)
if err != nil {
if r.FormValue("tipo") == "async" {
fmt.Fprintf(w, "<p>'%s'</p>", "No se actualizó el logotipo. Sistema en matenimiento, intente en unos minutos")
} else {
tc["Error"] = struct{ Cantsave string }{"cantsave"}
micrositioTpl.Execute(w, tc)
}
return
}
}
/*
se crea icono
*/
val := slogores(c, idemp, 70, 0)
if val != 0 {
tc["Error"] = struct{ Cantsave string }{"cantsave"}
micrositioTpl.Execute(w, tc)
return
}
if r.FormValue("tipo") == "async" {
fmt.Fprintf(w, "<p></p>")
} else {
micrositio(w, r)
}
return
} else {
http.Redirect(w, r, "/r/registro", http.StatusFound)
}
}
// Resize only if picture from EmpLogo is more than 80 pix width
// If resize, save image to entity king ShortLogo and stream
// If no resize is necesary, save to entity ShortLogo and stream
func rslogo(w http.ResponseWriter, r *http.Request) {
c := appengine.NewContext(r)
if r.Method == "GET" {
sf, _ := strconv.Atoi(r.FormValue("s"))
force, _ := strconv.Atoi(r.FormValue("force"))
// Check for shortlogo
var simg model.Image
simg.Kind = "ShortLogo"
if r.FormValue("IdEmp") != "" {
simg.IdEmp = r.FormValue("IdEmp")
} else {
w.WriteHeader(http.StatusNotFound)
return
}
if force != 1 {
shortlogo, _ := model.GetShortLogo(c, r.FormValue("IdEmp"))
// Stream short logo if already exists
if shortlogo != nil {
w.Header().Set("Content-type", "image/jpeg")
w.Write(shortlogo.Data)
/*
m, _, err := image.Decode(bytes.NewBuffer(shortlogo.Data))
model.Check(err)
w.Header().Set("Content-type", "image/jpeg")
jpeg.Encode(w, m, nil)
*/
return
}
}
// Process biglogo if shortlogo doesn't exists
// Save and Stream new shortlogo
biglogo := model.GetLogo(c, r.FormValue("IdEmp"))
if biglogo == nil {
// No such imageb
w.WriteHeader(http.StatusNotFound)
return
}
i, _, err := image.Decode(bytes.NewBuffer(biglogo.Data))
if err != nil {
// ERR_BADFORMAT
w.WriteHeader(http.StatusNotFound)
return
}
const max = 70
if sf == 0 {
// We aim for less than max pixels in any dimension.
if b := i.Bounds(); b.Dx() > max || b.Dy() > max {
// If it's gigantic, it's more efficient to downsample first
// and then resize; resizing will smooth out the roughness.
if b.Dx() > 2*max || b.Dy() > 2*max {
w, h := max*2, max*2
if b.Dx() > b.Dy() {
h = b.Dy() * h / b.Dx()
} else {
w = b.Dx() * w / b.Dy()
}
i = resize.Resample(i, i.Bounds(), w, h)
b = i.Bounds()
}
w, h := max, max
if b.Dx() > b.Dy() {
h = b.Dy() * h / b.Dx()
} else {
w = b.Dx() * w / b.Dy()
}
i = resize.Resize(i, i.Bounds(), w, h)
} else {
w, h := max, max
if b.Dx() > b.Dy() {
h = b.Dy() * h / b.Dx()
} else {
w = b.Dx() * w / b.Dy()
}
i = resize.Resize(i, i.Bounds(), w, h)
}
} else {
// We aim for a resize by ratio.
b := i.Bounds()
h := b.Dy()
w := b.Dx()
if sf > 0 && sf <= 2 {
h = h * sf
w = w * sf
} else if sf < 0 && sf > -1 {
sf = (sf * 2) + sf
h = h * (1 / sf)
w = w * (1 / sf)
}
i = resize.Resize(i, i.Bounds(), w, h)
}
// Encode as a new JPEG image.
var buf bytes.Buffer
err = jpeg.Encode(&buf, i, nil)
if err != nil {
// ERR_FAIL_ENCODE
w.WriteHeader(http.StatusNotFound)
return
}
// Save the image under a unique key, a hash of the image.
simg.IdImg = model.RandId(20)
simg.Data = buf.Bytes()
simg.Name = biglogo.Name
simg.Desc = biglogo.Desc
simg.Sizepx = max
simg.Sizepy = 0
simg.Url = biglogo.Url
simg.Type = "jpeg"
simg.Sp1 = biglogo.Sp1
simg.Sp2 = biglogo.Sp2
simg.Sp3 = biglogo.Sp3
simg.Sp4 = biglogo.Sp4
simg.Np1 = biglogo.Np1
simg.Np2 = biglogo.Np2
simg.Np3 = biglogo.Np3
simg.Np4 = biglogo.Np4
_, err = model.PutLogo(c, &simg)
if err != nil {
// ERR_DATASTORE
// Don't return, stream image either way
}
w.Header().Set("Content-type", "image/jpeg")
w.Write(simg.Data)
/*
m, _, err := image.Decode(bytes.NewBuffer(simg.Data))
model.Check(err)
w.Header().Set("Content-type", "image/jpeg")
jpeg.Encode(w, m, nil)
*/
}
}
func slogores(c appengine.Context, id string, max int, sf int) int {
var simg model.Image
// Process biglogo if shortlogo doesn't exists
// Save and Stream new shortlogo
biglogo := model.GetLogo(c, id)
if biglogo == nil {
// No such imageb
return -1
}
i, _, err := image.Decode(bytes.NewBuffer(biglogo.Data))
if err != nil {
// ERR_BADFORMAT
return -1
}
if sf == 0 {
// We aim for less than 80 pixels in any dimension.
if b := i.Bounds(); b.Dx() > max || b.Dy() > max {
// If it's gigantic, it's more efficient to downsample first
// and then resize; resizing will smooth out the roughness.
if b.Dx() > 2*max || b.Dy() > 2*max {
w, h := max*2, max*2
if b.Dx() > b.Dy() {
h = b.Dy() * h / b.Dx()
} else {
w = b.Dx() * w / b.Dy()
}
i = resize.Resample(i, i.Bounds(), w, h)
b = i.Bounds()
}
w, h := max, max
if b.Dx() > b.Dy() {
h = b.Dy() * h / b.Dx()
} else {
w = b.Dx() * w / b.Dy()
}
i = resize.Resize(i, i.Bounds(), w, h)
} else {
w, h := max, max
if b.Dx() > b.Dy() {
h = b.Dy() * h / b.Dx()
} else {
w = b.Dx() * w / b.Dy()
}
i = resize.Resize(i, i.Bounds(), w, h)
}
} else {
// We aim for a resize by ratio.
b := i.Bounds()
h := b.Dy()
w := b.Dx()
if sf > 0 && sf <= 2 {
h = h * sf
w = w * sf
} else if sf < 0 && sf > -1 {
sf = (sf * 2) + sf
h = h * (1 / sf)
w = w * (1 / sf)
}
i = resize.Resize(i, i.Bounds(), w, h)
}
// Encode as a new JPEG image.
var buf bytes.Buffer
err = jpeg.Encode(&buf, i, nil)
if err != nil {
// ERR_FAIL_ENCODE
return -1
}
// Save the image under a unique key, a hash of the image.
shortlogo, _ := model.GetShortLogo(c, id)
simg.Kind = "ShortLogo"
if shortlogo != nil {
simg.IdImg = shortlogo.IdImg
} else {
simg.IdImg = model.RandId(20)
}
simg.IdEmp = id
simg.Data = buf.Bytes()
simg.Name = biglogo.Name
simg.Desc = biglogo.Desc
simg.Sizepx = max
simg.Sizepy = 0
simg.Url = biglogo.Url
simg.Type = "jpeg"
simg.Sp1 = biglogo.Sp1
simg.Sp2 = biglogo.Sp2
simg.Sp3 = biglogo.Sp3
simg.Sp4 = biglogo.Sp4
simg.Np1 = biglogo.Np1
simg.Np2 = biglogo.Np2
simg.Np3 = biglogo.Np3
simg.Np4 = biglogo.Np4
_, err = model.PutLogo(c, &simg)
if err != nil {
return -1
}
return 0
}
// handler for '/'; if the request is a POST try to convert the image
func upload(w http.ResponseWriter, r *http.Request) {
c := appengine.NewContext(r)
if r.Method != "POST" {
// No upload; show the upload form.
if err := uploadTemplate.Execute(w, ""); err != nil {
c.Errorf("Can't execute uploadTempl: ", err)
}
return
}
// Grab the image data
var buf bytes.Buffer
f, _, err := r.FormFile("image")
if err != nil {
u := r.FormValue("url")
// c.Infof("about to fetch %v\n", u)
if len(u) == 0 {
if err = uploadTemplate.Execute(w, ""); err != nil {
c.Errorf("Can't execute uploadTempalte:", err)
}
return
}
client := urlfetch.Client(c)
resp, err := client.Get(u)
if err != nil {
http.Error(w, err.Error(), http.StatusInternalServerError)
return
}
defer resp.Body.Close()
buf.Reset()
io.Copy(&buf, resp.Body)
} else {
defer f.Close()
io.Copy(&buf, f)
}
// c.Infof("length of buffer is: %d\n", buf.Len())
i, _, err := image.Decode(&buf)
check(err)
const max = 300
if b := i.Bounds(); b.Dx() > max || b.Dy() > max {
// If it's gigantic, it's more efficient to downsample first
// and then resize; resizing will smooth out the roughness.
if b.Dx() > 2*max || b.Dy() > 2*max {
w, h := max, max
if b.Dx() > b.Dy() {
h = b.Dy() * h / b.Dx()
} else {
w = b.Dx() * w / b.Dy()
}
i = resize.Resample(i, i.Bounds(), w, h)
b = i.Bounds()
}
w, h := max/2, max/2
if b.Dx() > b.Dy() {
h = b.Dy() * h / b.Dx()
} else {
w = b.Dx() * w / b.Dy()
}
i = resize.Resize(i, i.Bounds(), w, h)
}
// Encode as a new ascii image
buf.Reset()
err = Encode(&buf, i)
check(err)
OutBuf := string(buf.Bytes())
// c.Infof("Done converting; buf:\n%v\n", OutBuf)
w.Header().Set("Content-type", "text/html")
uploadTemplate.Execute(w, OutBuf)
}