continue working on importing

.gitignore

@@ -1,6 +1,5 @@
 .idea
 
-
 # ---> Python
 # Byte-compiled / optimized / DLL files
 __pycache__/
@@ -162,4 +161,3 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
-

src/geo-backend/daemon.py

@@ -0,0 +1,14 @@
+import threading
+import time
+
+from geo_lib.daemon.database.connection import Database
+from geo_lib.daemon.workers.importer import import_worker
+
+# TODO: config
+Database.initialise(minconn=1, maxconn=100, host='h.postgres.nb', database='geobackend', user='geobackend', password='juu1waigu1pookee1ohcierahMoofie3')
+
+import_thread = threading.Thread(target=import_worker)
+import_thread.start()
+
+while True:
+    time.sleep(3600)

src/geo-backend/data/admin.py

@@ -0,0 +1,3 @@
+from django.contrib import admin
+
+# Register your models here.

src/geo-backend/data/apps.py

@@ -0,0 +1,6 @@
+from django.apps import AppConfig
+
+
+class DatamanageConfig(AppConfig):
+    default_auto_field = 'django.db.models.BigAutoField'
+    name = 'data'

src/geo-backend/data/models.py

@@ -0,0 +1,22 @@
+from django.contrib.auth import get_user_model
+from django.db import models
+
+
+class ImportQueue(models.Model):
+    id = models.AutoField(primary_key=True)
+    user = models.ForeignKey(get_user_model(), on_delete=models.CASCADE)
+    geojson = models.JSONField(default=dict)
+    original_filename = models.TextField()
+    raw_kml = models.TextField()
+    raw_kml_hash = models.CharField(max_length=64, unique=True)
+    data = models.JSONField(default=dict)
+    worker_lock = models.TextField(default=None, null=True)
+    timestamp = models.DateTimeField(auto_now_add=True)
+
+
+class GeoLogs(models.Model):
+    id = models.AutoField(primary_key=True)
+    user = models.ForeignKey(get_user_model(), on_delete=models.CASCADE)
+    text = models.JSONField()
+    source = models.TextField()
+    timestamp = models.DateTimeField(auto_now_add=True)

src/geo-backend/data/tests.py

@@ -0,0 +1,3 @@
+from django.test import TestCase
+
+# Create your tests here.

src/geo-backend/data/urls.py

@@ -0,0 +1,9 @@
+from django.urls import path
+
+from data.views.import_item import upload_item, fetch_import_queue, fetch_queued
+
+urlpatterns = [
+    path('item/import/upload/', upload_item, name='upload_file'),
+    path('item/import/get/<int:id>', fetch_import_queue, name='fetch_import_queue'),
+    path('item/import/get/mine', fetch_queued, name='fetch_queued'),
+]

src/geo-backend/data/views.py

@@ -0,0 +1,3 @@
+from django.shortcuts import render
+
+# Create your views here.

src/geo-backend/data/views/__init__.py

@@ -0,0 +1 @@
+from .import_item import *

src/geo-backend/data/views/import_item.py

@@ -0,0 +1,93 @@
+import hashlib
+import json
+import traceback
+
+from django import forms
+from django.core.serializers.json import DjangoJSONEncoder
+from django.db import IntegrityError
+from django.http import HttpResponse, JsonResponse
+
+from data.models import ImportQueue
+from geo_lib.spatial.kml import kmz_to_kml
+from geo_lib.website.auth import login_required_401
+
+
+class DocumentForm(forms.Form):
+    file = forms.FileField()
+
+
+@login_required_401
+def upload_item(request):
+    if request.method == 'POST':
+        form = DocumentForm(request.POST, request.FILES)
+        if form.is_valid():
+            uploaded_file = request.FILES['file']
+
+            # Check file size
+            # TODO: config??
+            if uploaded_file.size > 100 * 1024 * 1024:  # file size limit 100MB
+                return JsonResponse({'success': False, 'msg': 'File size must be less than 100MB', 'id': None}, status=400)
+
+            file_data = uploaded_file.read()
+            file_name = uploaded_file.name
+
+            try:
+                kml_doc = kmz_to_kml(file_data)
+            except Exception as e:
+                print(traceback.format_exc())  # TODO: logging
+                return JsonResponse({'success': False, 'msg': 'failed to parse KML/KMZ', 'id': None}, status=400)
+
+            try:
+                import_queue, created = ImportQueue.objects.get_or_create(raw_kml=kml_doc, raw_kml_hash=_hash_kml(kml_doc), original_filename=file_name, user=request.user)
+                import_queue.save()
+            except IntegrityError:
+                created = False
+                import_queue = ImportQueue.objects.get(
+                    raw_kml=kml_doc,
+                    raw_kml_hash=_hash_kml(kml_doc),
+                    # original_filename=file_name,
+                    user=request.user
+                )
+            msg = 'upload successful'
+            if not created:
+                msg = 'data already exists in the import queue'
+            return JsonResponse({'success': True, 'msg': msg, 'id': import_queue.id}, status=200)
+
+            # TODO: put the processed data into the database and then return the ID so the frontend can go to the import page and use the ID to start the import
+        else:
+            return JsonResponse({'success': False, 'msg': 'invalid upload structure', 'id': None}, status=400)
+
+    else:
+        return HttpResponse(status=405)
+
+
+@login_required_401
+def fetch_import_queue(request, id):
+    if id is None:
+        return JsonResponse({'success': False, 'msg': 'ID not provided', 'code': 400}, status=400)
+    try:
+        queue = ImportQueue.objects.get(id=id)
+        if queue.user_id != request.user.id:
+            return JsonResponse({'success': False, 'msg': 'not authorized to view this item', 'code': 403}, status=400)
+        if len(queue.geojson):
+            return JsonResponse({'success': True, 'geojson': queue.geojson}, status=200)
+        return JsonResponse({'success': True, 'geojson': {}, 'msg': 'uploaded data still processing'}, status=200)
+    except ImportQueue.DoesNotExist:
+        return JsonResponse({'success': False, 'msg': 'ID does not exist', 'code': 404}, status=400)
+
+
+@login_required_401
+def fetch_queued(request):
+    user_items = ImportQueue.objects.filter(user=request.user).values('id', 'geojson', 'original_filename', 'raw_kml_hash', 'data', 'timestamp')
+    data = json.loads(json.dumps(list(user_items), cls=DjangoJSONEncoder))
+    for i, item in enumerate(data):
+        count = len(item['geojson']['features'])
+        del item['geojson']
+        item['feature_count'] = count
+    return JsonResponse({'data': data})
+
+
+def _hash_kml(b: str):
+    if not isinstance(b, bytes):
+        b = b.encode()
+    return hashlib.sha256(b).hexdigest()

src/geo-backend/geo_backend/settings.py

@@ -18,6 +18,7 @@ BASE_DIR = Path(__file__).resolve().parent.parent
 # Quick-start development settings - unsuitable for production
 # See https://docs.djangoproject.com/en/5.0/howto/deployment/checklist/
 
+# TODO: user config
 # SECURITY WARNING: keep the secret key used in production secret!
 SECRET_KEY = 'django-insecure-f(1zo%f)wm*rl97q0^3!9exd%(s8mz92nagf4q7c2cno&bmyx='
 
@@ -30,6 +31,7 @@ ALLOWED_HOSTS = []
 
 INSTALLED_APPS = [
     'users',
+    'data',
     'django.contrib.admin',
     'django.contrib.auth',
     'django.contrib.contenttypes',
@@ -73,6 +75,7 @@ WSGI_APPLICATION = 'geo_backend.wsgi.application'
 # https://docs.djangoproject.com/en/5.0/ref/settings/#databases
 
 
+# TODO: user config
 DATABASES = {
     'default': {
         'ENGINE': 'django.db.backends.postgresql',

src/geo-backend/geo_backend/urls.py

@@ -25,4 +25,5 @@ urlpatterns = [
     re_path(r"^account/", include("django.contrib.auth.urls")),
     path('admin/', admin.site.urls),
     path('', include("users.urls")),
+    path('api/data/', include("data.urls"))
 ]

src/geo-backend/geo_lib/daemon/database/connection.py

@@ -0,0 +1,39 @@
+from psycopg2 import pool
+
+
+class Database:
+    __connection_pool = None
+
+    @classmethod
+    def initialise(cls, minconn, maxconn, **kwargs):
+        if cls.__connection_pool is not None:
+            raise Exception('Database connection pool is already initialised')
+        cls.__connection_pool = pool.ThreadedConnectionPool(minconn, maxconn, **kwargs)
+
+    @classmethod
+    def get_connection(cls):
+        return cls.__connection_pool.getconn()
+
+    @classmethod
+    def return_connection(cls, connection):
+        cls.__connection_pool.putconn(connection)
+
+
+class CursorFromConnectionFromPool:
+    def __init__(self, cursor_factory=None):
+        self.conn = None
+        self.cursor = None
+        self.cursor_factory = cursor_factory
+
+    def __enter__(self):
+        self.conn = Database.get_connection()
+        self.cursor = self.conn.cursor(cursor_factory=self.cursor_factory)
+        return self.cursor
+
+    def __exit__(self, exception_type, exception_value, exception_traceback):
+        if exception_value is not None:  # This is equivalent of saying if there is an exception
+            self.conn.rollback()
+        else:
+            self.cursor.close()
+            self.conn.commit()
+        Database.return_connection(self.conn)

src/geo-backend/geo_lib/daemon/workers/importer.py

@@ -0,0 +1,50 @@
+import json
+import time
+import traceback
+from uuid import uuid4
+
+from psycopg2.extras import RealDictCursor
+
+from geo_lib.daemon.database.connection import CursorFromConnectionFromPool
+from geo_lib.logging.database import log_to_db, DatabaseLogLevel
+from geo_lib.spatial.kml import kml_to_geojson
+from geo_lib.time import get_time_ms
+
+_SQL_GET_UNPROCESSED_ITEMS = "SELECT * FROM public.data_importqueue ORDER BY id ASC"  # coordinates
+_SQL_INSERT_PROCESSED_ITEM = "UPDATE public.data_importqueue SET geojson = %s WHERE id = %s"
+
+
+# TODO: support multiple workers
+
+def import_worker():
+    worker_id = str(uuid4())
+    while True:
+        with CursorFromConnectionFromPool(cursor_factory=RealDictCursor) as cursor:
+            cursor.execute(_SQL_GET_UNPROCESSED_ITEMS)
+            import_queue_items = cursor.fetchall()
+
+        if len(import_queue_items):
+            print(f'IMPORT: processing {len(import_queue_items)} items')  # TODO: logging, also log worker ID
+
+        for item in import_queue_items:
+            start = get_time_ms()
+            try:
+                geojson_data, messages = kml_to_geojson(item['raw_kml'])
+            except Exception as e:
+                err_name = e.__class__.__name__
+                err_msg = str(e)
+                if hasattr(e, 'message'):
+                    err_msg = e.message
+                msg = f'Failed to import item #{item["id"]}, encountered {err_name}. {err_msg}'
+                log_to_db(msg, level=DatabaseLogLevel.ERROR, user_id=item['user_id'])
+                traceback.print_exc()
+                continue
+            with CursorFromConnectionFromPool(cursor_factory=RealDictCursor) as cursor:
+                cursor.execute(_SQL_INSERT_PROCESSED_ITEM, (json.dumps(geojson_data, sort_keys=True), item['id']))
+            print(f'IMPORT: processed #{item["id"]} in {round((get_time_ms() - start) / 1000, 2)} seconds')  # TODO: logging, also log worker ID
+
+        if not len(import_queue_items):
+            # Only sleep if there were no items last time we checked.
+            time.sleep(5)
+
+# def _process_item_data(item)

src/geo-backend/geo_lib/logging/database.py

@@ -0,0 +1,32 @@
+import logging
+from enum import Enum
+
+from psycopg2.extras import RealDictCursor
+from pydantic import BaseModel
+
+from geo_lib.daemon.database.connection import CursorFromConnectionFromPool
+
+
+class DatabaseLogLevel(Enum):
+    DEBUG = logging.DEBUG
+    INFO = logging.INFO
+    WARNING = logging.WARNING
+    ERROR = logging.ERROR
+    CRITICAL = logging.CRITICAL
+
+
+class DatabaseLogItem(BaseModel):
+    # Using an object so we can add arbitrary data if nessesary.
+    msg: str
+    level: DatabaseLogLevel
+
+
+_SQL_INSERT_ITEM = 'INSERT INTO public.data_geologs (user_id, text, source) VALUES (%s, %s, %s)'
+
+
+def log_to_db(msg: str, level: DatabaseLogLevel, user_id: int, source: str):
+    print(msg)
+    return
+    # TODO:
+    with CursorFromConnectionFromPool(cursor_factory=RealDictCursor) as cursor:
+        cursor.execute(_SQL_INSERT_ITEM, (user_id, DatabaseLogItem(msg=msg, level=level).json()))

src/geo-backend/geo_lib/spatial/kml.py

@@ -1,58 +1,83 @@
 import io
-import re
+import json
 import zipfile
+from typing import Union, Tuple
 
-from fastkml import kml
+import geojson
-from shapely.geometry import mapping, shape
+import kml2geojson
+from dateparser import parse
+from geojson import FeatureCollection, Point, LineString, Polygon
+
+from geo_lib.types.geojson import GeojsonRawProperty
 
 
-# TODO: preserve KML object styling, such as color and opacity
+def kmz_to_kml(kml_bytes: Union[str, bytes]) -> str:
-
+    if isinstance(kml_bytes, str):
-def kml_to_geojson(kml_bytes):
+        kml_bytes = kml_bytes.encode('utf-8')
     try:
         # Try to open as a zipfile (KMZ)
         with zipfile.ZipFile(io.BytesIO(kml_bytes), 'r') as kmz:
             # Find the first .kml file in the zipfile
             kml_file = [name for name in kmz.namelist() if name.endswith('.kml')][0]
-            doc = kmz.read(kml_file).decode('utf-8')
+            return kmz.read(kml_file).decode('utf-8')
     except zipfile.BadZipFile:
         # If not a zipfile, assume it's a KML file
-        doc = kml_bytes.decode('utf-8')
+        return kml_bytes.decode('utf-8')
 
-    # Remove XML declaration
-    doc = re.sub(r'<\?xml.*\?>', '', doc)
 
-    k = kml.KML()
+def kml_to_geojson(kml_bytes) -> Tuple[dict, list]:
-    k.from_string(doc)
+    # TODO: preserve KML object styling, such as color and opacity
+    doc = kmz_to_kml(kml_bytes)
 
-    features = []
+    converted_kml = kml2geojson.main.convert(io.BytesIO(doc.encode('utf-8')))
-    process_feature(features, k)
 
-    return {
+    features, messages = process_feature(converted_kml)
+    data = {
         'type': 'FeatureCollection',
         'features': features
     }
+    return load_geojson_type(data), messages
 
 
-def process_feature(features, feature):
+def process_feature(converted_kml):
-    # Recursive function to handle folders within folders
+    features = []
-    if isinstance(feature, (kml.Document, kml.Folder, kml.KML)):
+    messages = []
-        for child in feature.features():
+    for feature in converted_kml[0]['features']:
-            process_feature(features, child)
+        if feature['geometry']['type'] in ['Point', 'LineString', 'Polygon']:
-    elif isinstance(feature, kml.Placemark):
+            if feature['properties'].get('times'):
-        geom = shape(feature.geometry)
+                for i, timestamp_str in enumerate(feature['properties']['times']):
-        # Only keep points, lines and polygons
+                    timestamp = int(parse(timestamp_str).timestamp() * 1000)
-        if geom.geom_type in ['Point', 'LineString', 'Polygon']:
+                    feature['geometry']['coordinates'][i].append(timestamp)
-            features.append({
+            feature['properties'] = GeojsonRawProperty(**feature['properties']).dict()
-                'type': 'Feature',
+            features.append(feature)
-                'properties': {
-                    'name': feature.name,
-                    'description': feature.description,
-                },
-                'geometry': mapping(geom),
-            })
-            if feature.extended_data is not None:
-                features['properties'].update(feature.extended_data)
         else:
-        # raise ValueError(f'Unknown feature: {type(feature)}')
+            # Log the error
-        pass
+            messages.append(f'Feature type {feature["properties"]["type"]} not supported')
+    return features, messages
+
+
+def load_geojson_type(data: dict) -> dict:
+    features = []
+    for feature in data['features']:
+        if feature['geometry']['type'] == 'Point':
+            features.append(
+                Point(coordinates=feature['geometry']['coordinates'], properties=feature['properties'])
+            )
+        elif feature['geometry']['type'] == 'LineString':
+            features.append(
+                LineString(coordinates=feature['geometry']['coordinates'], properties=feature['properties'])
+            )
+        elif feature['geometry']['type'] == 'Polygon':
+            features.append(
+                Polygon(coordinates=feature['geometry']['coordinates'], properties=feature['properties'])
+            )
+    collection = FeatureCollection(features)
+    geojson_dict = json.loads(geojson.dumps(collection, sort_keys=True))
+    for item in geojson_dict['features']:
+        item['geometry'] = {
+            'type': item.pop('type'),
+            'coordinates': item.pop('coordinates'),
+        }
+        item['type'] = 'Feature'
+        item['properties']['title'] = item['properties'].pop('name')
+    return geojson_dict

src/geo-backend/geo_lib/tags.py

@@ -0,0 +1,2 @@
+# def generate_tags(geojson: dict):
+

src/geo-backend/geo_lib/time.py

@@ -0,0 +1,5 @@
+import time
+
+
+def get_time_ms():
+    return time.time_ns() // 1_000_000

src/geo-backend/geo_lib/types/geojson.py

@@ -0,0 +1,9 @@
+from typing import Optional
+
+from pydantic import BaseModel
+
+
+class GeojsonRawProperty(BaseModel):
+    # Whitelist these properties.
+    name: str
+    description: Optional[str] = None

src/geo-backend/geo_lib/website/auth.py

@@ -1,6 +1,6 @@
 from functools import wraps
 
-from django.http import HttpResponse
+from django.http import JsonResponse
 
 
 def login_required_401(view_func):
@@ -9,6 +9,6 @@ def login_required_401(view_func):
         if request.user.is_authenticated:
             return view_func(request, *args, **kwargs)
         else:
-            return HttpResponse('Unauthorized', status=401)
+            return JsonResponse({'error': 'Unauthorized'}, status=401)
 
     return _wrapped_view

src/geo-backend/requirements.txt

@@ -1,5 +1,8 @@
 django==5.0.6
 psycopg2-binary==2.9.9
-shapely==2.0.4
 fastkml==0.12
 lxml==5.2.2
+kml2geojson==5.1.0
+dateparser==1.2.0
+geojson==3.1.0
+pydantic==2.7.3

src/geo-backend/users/urls.py

@@ -1,12 +1,9 @@
-from django.urls import re_path, path
+from django.urls import re_path
 
 from users.views import register, dashboard, check_auth
-from users.views.upload_item import upload_item, fetch_import_queue
 
 urlpatterns = [
     re_path(r"^account/register/", register, name="register"),
     re_path(r"^user/dashboard/", dashboard, name="dashboard"),
     re_path(r"^api/user/status/", check_auth),
-    re_path(r'^api/item/import/upload/', upload_item, name='upload_file'),
-    path('api/item/import/get/<int:id>', fetch_import_queue, name='fetch_import_queue'),
 ]

src/geo-backend/users/views/upload_item.py

@@ -1,62 +0,0 @@
-from django import forms
-from django.contrib.auth.models import User
-from django.db import models
-from django.http import HttpResponse, JsonResponse
-
-from geo_lib.spatial.kml import kml_to_geojson
-
-
-class Document(models.Model):
-    uploaded_at = models.DateTimeField(auto_now_add=True)
-    upload = models.FileField()
-
-
-class DocumentForm(forms.Form):
-    file = forms.FileField()
-
-
-class ImportQueue(models.Model):
-    data = models.JSONField()
-    user = models.ForeignKey(User, on_delete=models.CASCADE)
-
-    class Meta:
-        db_table = 'import_queue'
-
-
-def upload_item(request):
-    if request.method == 'POST':
-        form = DocumentForm(request.POST, request.FILES)
-        if form.is_valid():
-            uploaded_file = request.FILES['file']
-            file_data = uploaded_file.read()
-
-            try:
-                geojson = kml_to_geojson(file_data)
-                import_queue, created = ImportQueue.objects.get_or_create(data=geojson, user=request.user)
-                import_queue.save()
-                msg = 'upload successful'
-                if not created:
-                    msg = 'data already exists in the import queue'
-                return JsonResponse({'success': True, 'msg': msg, 'id': import_queue.id}, status=200)
-            except Exception as e:
-                print(e)  # TODO: logging
-                return JsonResponse({'success': False, 'msg': 'failed to parse KML/KMZ', 'id': None}, status=400)
-
-            # TODO: put the processed data into the database and then return the ID so the frontend can go to the import page and use the ID to start the import
-        else:
-            return JsonResponse({'success': False, 'msg': 'invalid upload structure', 'id': None}, status=400)
-
-    else:
-        return HttpResponse(status=405)
-
-
-def fetch_import_queue(request, id):
-    if id is None:
-        return JsonResponse({'success': False, 'msg': 'ID not provided', 'code': 400}, status=400)
-    try:
-        queue = ImportQueue.objects.get(id=id)
-        if queue.user_id != request.user.id:
-            return JsonResponse({'success': False, 'msg': 'not authorized to view this item', 'code': 403}, status=400)
-        return JsonResponse({'success': True, 'data': queue.data}, status=200)
-    except ImportQueue.DoesNotExist:
-        return JsonResponse({'success': False, 'msg': 'ID does not exist', 'code': 404}, status=400)

src/geo-frontend/src/components/import/Process.vue

@@ -1,8 +1,10 @@
 <template>
   <div v-if="msg !== ''">
-    <p>{{ msg }}</p>
+    <p class="font-bold">{{ msg }}</p>
   </div>
 
+  <!-- TODO: loading indicator -->
+
   <div>
     <li v-for="(item, index) in geoJsonData" :key="`item-${index}`">
       <pre>
@@ -18,6 +20,9 @@ import {authMixin} from "@/assets/js/authMixin.js";
 import axios from "axios";
 import {capitalizeFirstLetter} from "@/assets/js/string.js";
 
+// TODO: for each feature, query the DB and check if there is a duplicate. For points that's duplicate coords, for linestrings and polygons that's duplicate points
+// TODO: auto-refresh if still processing
+
 export default {
   computed: {
     ...mapState(["userInfo"]),
@@ -40,16 +45,21 @@ export default {
       return item
     }
   },
-  created() {
+  beforeRouteEnter(to, from, next) {
-    axios.get('/api/item/import/get/' + this.id).then(response => {
+    next(async vm => {
+      axios.get('/api/data/item/import/get/' + vm.id).then(response => {
         if (!response.data.success) {
-        this.handleError(response.data.msg)
+          vm.handleError(response.data.msg)
         } else {
-        this.geoJsonData = response.data.data
+          if (Object.keys(response.data.geojson).length > 0) {
+            vm.geoJsonData = response.data.geojson
+          }
+          vm.msg = response.data.msg
         }
       }).catch(error => {
-      this.handleError(error.message)
+        vm.handleError(error.message)
       });
+    })
   },
 };
 </script>

src/geo-frontend/src/components/import/Upload.vue

@@ -2,6 +2,9 @@
   <div class="mb-10">
     <p>import data</p>
     <p>Only KML/KMZ files supported.</p>
+    <p>Be careful not to upload duplicate files of the opposite type. For example, do not upload both
+      <kbd>example.kml</kbd>
+      and <kbd>example.kmz</kbd>. Currently, the system can't detect duplicate cross-file types.</p>
   </div>
 
   <div class="relative w-[90%] m-auto">
@@ -11,8 +14,24 @@
     </div>
   </div>
 
-  <div v-if="uploadMsg !== ''" class="w-[90%] m-auto mt-10" v-html="uploadMsg">
+  <div v-if="uploadMsg !== ''" class="w-[90%] m-auto mt-10" v-html="uploadMsg"></div>
-  </div>
+
+  <table>
+    <thead>
+    <tr>
+      <th>File Name</th>
+      <th>Features</th>
+      <th></th>
+    </tr>
+    </thead>
+    <tbody>
+    <tr v-for="(item, index) in processQueue" :key="`item-${index}`">
+      <td><a :href="`/#/import/process/${item.id}`">{{ item.original_filename }}</a></td>
+      <td>{{ item.feature_count }}</td>
+      <td>button to delete from queue</td>
+    </tr>
+    </tbody>
+  </table>
 </template>
 
 <script>
@@ -21,6 +40,8 @@ import {authMixin} from "@/assets/js/authMixin.js";
 import axios from "axios";
 import {capitalizeFirstLetter} from "@/assets/js/string.js";
 
+// TODO: after import, don't disable the upload, instead add the new item to a table at the button and then prompt the user to continue
+
 export default {
   computed: {
     ...mapState(["userInfo"]),
@@ -31,7 +52,8 @@ export default {
     return {
       file: null,
       disableUpload: false,
-      uploadMsg: ""
+      uploadMsg: "",
+      processQueue: []
     }
   },
   methods: {
@@ -44,9 +66,13 @@ export default {
       }
     },
     upload() {
-      let formData = new FormData();
+      this.uploadMsg = ""
-      formData.append('file', this.file);
+      if (this.file == null) {
-      axios.post('/api/item/import/upload/', formData, {
+        return
+      }
+      let formData = new FormData()
+      formData.append('file', this.file)
+      axios.post('/api/data/item/import/upload/', formData, {
         headers: {
           'Content-Type': 'multipart/form-data',
           'X-CSRFToken': this.userInfo.csrftoken
@@ -56,10 +82,17 @@ export default {
         this.disableUpload = true
       }).catch(error => {
         this.handleError(error)
-      });
+      })
     },
     handleError(error) {
-      console.log(error);
+      console.error("Upload failed:", error)
+      if (error.response.data.msg != null) {
+        this.uploadMsg = error.response.data.msg
+      }
+    },
+    async fetchQueueList() {
+      const response = await axios.get('/api/data/item/import/get/mine')
+      this.processQueue = response.data.data
     }
   },
   async created() {
@@ -71,6 +104,7 @@ export default {
       vm.file = null
       vm.disableUpload = false
       vm.uploadMsg = ""
+      await vm.fetchQueueList()
     })
   },
   watch: {},