mirror of
https://github.com/Alexander-D-Karpov/akarpov
synced 2024-11-22 13:16:33 +03:00
updated file upload
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26a523a9b5
commit
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@ -97,7 +97,7 @@
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</div>
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</div>
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</div>
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<div class="col d-flex flex-column h-sm-100">
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<div id="body" class="col d-flex flex-column h-sm-100">
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<main class="row overflow-aut px-lg-4">
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<div class="col pt-4">
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{% if messages %}
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@ -45,8 +45,8 @@
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<svg class="upload_svg" width="60" height="60" aria-hidden="true">
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<use href="#icon-imageUpload"></use>
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</svg>
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<p class="small my-2">Drag & Drop background image(s) inside dashed region<br><i>or</i></p>
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<input multiple class="position-absolute invisible" id="chunked_upload" type="file" name="the_file">
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<p class="small my-2">Drag & Drop file(s) <br><i>or</i></p>
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<input class="position-absolute invisible" id="chunked_upload" type="file" name="the_file">
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<label class="btn btn-upload mb-3" for="chunked_upload">Choose file(s)</label>
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<div class="upload_gallery d-flex flex-wrap justify-content-center gap-3 mb-0"></div>
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</fieldset>
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@ -118,11 +118,13 @@
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var md5 = "",
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csrf = $("input[name='csrfmiddlewaretoken']")[0].value,
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form_data = [{"name": "csrfmiddlewaretoken", "value": csrf}];
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function calculate_md5(file, chunk_size) {
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var slice = File.prototype.slice || File.prototype.mozSlice || File.prototype.webkitSlice,
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chunks = Math.ceil(file.size / chunk_size),
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current_chunk = 0,
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spark = new SparkMD5.ArrayBuffer();
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function onload(e) {
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spark.append(e.target.result); // append chunk
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current_chunk++;
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@ -132,6 +134,7 @@
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md5 = spark.end();
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}
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};
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function read_next_chunk() {
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var reader = new FileReader();
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reader.onload = onload;
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@ -141,21 +144,31 @@
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};
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read_next_chunk();
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}
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let ind = 0;
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let files = []
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let body = $("#body")
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let cur = false
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$("#chunked_upload").fileupload({
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url: "{% url 'files:api_chunked_upload' %}",
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dataType: "json",
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maxChunkSize: 1000000, // Chunks of 1000 kB
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formData: form_data,
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prependFiles: true,
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dropZone: body,
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pasteZone: body,
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sequentialUploads: true,
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autoUpload: false,
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add: function(e, data) { // Called before starting upload
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files.push(data.files[0])
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calculate_md5(files[ind], 1000000); // Again, chunks of 1000 kB
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data.submit();
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$("#progress").css("display", "flex");
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if (cur !== true){
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cur = true
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console.log("add", data.files[0])
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form_data.splice(1);
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calculate_md5(data.files[0], 1000000);
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data.submit();
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$("#progress").css("display", "flex");
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}
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},
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chunkdone: function (e, data) { // Called after uploading each chunk
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console.log("chunkdone", data.files[0])
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if (form_data.length < 2) {
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form_data.push(
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{"name": "upload_id", "value": data.result.upload_id}
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@ -167,6 +180,7 @@
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sel.text(progress + "%");
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},
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done: function (e, data) { // Called when the file has completely uploaded
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console.log("done", data.files[0])
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$.ajax({
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type: "POST",
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url: "{% url 'files:api_chunked_upload_complete' %}",
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@ -188,11 +202,8 @@
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$("#progress-message").empty()
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}
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});
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ind ++;
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if (ind !== files.length){
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calculate_md5(files[ind], 1000000);
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cur = false
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}
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},
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})
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</script>
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{% endblock %}
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23
akarpov/users/migrations/0008_alter_user_left_file_upload.py
Normal file
23
akarpov/users/migrations/0008_alter_user_left_file_upload.py
Normal file
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# Generated by Django 4.2 on 2023-04-10 16:50
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import django.core.validators
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from django.db import migrations, models
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class Migration(migrations.Migration):
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dependencies = [
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("users", "0007_user_left_file_upload"),
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]
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operations = [
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migrations.AlterField(
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model_name="user",
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name="left_file_upload",
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field=models.BigIntegerField(
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default=0,
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validators=[django.core.validators.MinValueValidator(0)],
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verbose_name="Left file upload(in bites)",
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),
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),
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]
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@ -1,6 +1,6 @@
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from django.contrib.auth.models import AbstractUser
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from django.core.validators import MinValueValidator
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from django.db.models import CharField, IntegerField, TextField
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from django.db.models import BigIntegerField, CharField, TextField
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from django.urls import reverse
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from django.utils.translation import gettext_lazy as _
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@ -22,7 +22,7 @@ class User(AbstractUser, BaseImageModel, ShortLink):
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last_name = None # type: ignore
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# files
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left_file_upload = IntegerField(
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left_file_upload = BigIntegerField(
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"Left file upload(in bites)", default=0, validators=[MinValueValidator(0)]
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)
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