dina dinamico filter

app/app.py

@@ -25,7 +25,15 @@ server = app.server
 
 wine_similarity_df = pd.read_csv('data/wine_similarity.csv')
 wine_list = wine_similarity_df['NAME'].unique()
+geo = pd.read_csv('data/processed_wineyards.csv')
+wine_regions=list(geo['Region'].unique()) + ['all']
+wine_country = list(geo['Country'].unique()) + ['all']
+# local_type = list(geo['LOCAL TYPE'].unique()) + ['all']
 
+# WT_GLOBAL = '*' if 
+
+
+# wine_country = geo['Country'].unique()
 
 
 ## Layout ##
@@ -34,8 +42,10 @@ dashboard_layout =  html.Div([
     dcc.Link('About this project', href='/wiki'),
 
     dcc.Graph(id='graph-content'),
-
-
+    html.H1(children='Country', style={'textAlign':'center'}),
+    dcc.Dropdown(wine_country, wine_country[-1], id='dropdown-wc'),
+    html.H1(children='Region', style={'textAlign':'center'}),
+    dcc.Dropdown(['all'],'all', id='dropdown-wr'),
     dcc.Graph(id='world-map-fig'),
 
     html.H1(children='Wine Recommender', style={'textAlign':'center'}),
@@ -44,8 +54,15 @@ dashboard_layout =  html.Div([
 ])
 
 
-
-
+@app.callback(
+    Output('dropdown-wr', 'options'),
+    Input('dropdown-wc', 'value')
+)
+def set_wine_type_options(selected_wine_type):
+    # Return the options based on the selected wine country
+    pattern = r'.*' if selected_wine_type == 'all' else rf'{selected_wine_type}'
+    #selected_wine_type = r'*' if selected_wine_type == r'all' else selected_wine_type
+    return list(geo[geo['Country'].str.match(pattern, na=False)]['Region'].unique()) + ['all']
 
 
 wiki_layout = html.Div([
@@ -94,9 +111,11 @@ def display_page(pathname):
     Output('graph-content', 'figure'),
     Output('wine-recommendation', 'children'),
     Output('world-map-fig', 'figure'),
-    Input('dropdown-selection', 'value')
+    Input('dropdown-selection', 'value'),
+    Input('dropdown-wr', 'value'),
+    Input('dropdown-wc', 'value')
 )
-def update_graph(value):
+def update_graph(value,wr,wc):
     ### Wine Recommendation ###
     recommended_wines = None
     if value:
@@ -107,6 +126,11 @@ def update_graph(value):
     ### World Map of wineyards ###
 
     geo_df = pd.read_csv('data/processed_wineyards.csv')
+    wr = r'.*' if wr == 'all' else rf'{wr}'
+    #wr = r'*' if wr == 'all' else wr # wine region poiseu tbm tinha assim, mas agr tenho 2 filtros nao posos fazer infinitas condicoes assim ja sao 4, rota 
+    #wc = r'*' if wc == 'all' else wc # wine country & geo_df['Country'].str.match(wc)
+    wc = r'.*' if wc == 'all' else rf'{wc}'
+    geo_df = geo_df[geo_df['Region'].str.contains(wr, case=False, na=False, regex=True) & geo_df['Country'].str.contains(wc, case=False, na=False, regex=True)]
 
 
     world_map_fig = px.scatter_map(geo_df,

app/core.py

@@ -10,4 +10,13 @@ def get_top_5_similar_wines(wine_name: str, df: pd.DataFrame) -> pd.DataFrame:
     # Convert to list
     res = res["NAME"].values.tolist()
 
-    return res
+    return res
+
+def recommend_wine(ratings_df, user, n=5):
+    user_cluster = ratings_df.loc[user, 'cluster']
+    user_ratings = ratings_df.loc[user].drop('cluster')
+    user_unrated = user_ratings[user_ratings == 0].index
+    cluster_users = ratings_df[ratings_df['cluster'] == user_cluster]
+    cluster_avg = cluster_users.mean().drop('cluster')
+    cluster_avg = cluster_avg[user_unrated]
+    return cluster_avg.sort_values(ascending=False).keys()[:n].tolist()

app/dashboard copy.ipynb

@@ -0,0 +1,229 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/ddcosta/Documents/TDV/.venv/lib/python3.9/site-packages/urllib3/__init__.py:35: NotOpenSSLWarning: urllib3 v2 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compiled with 'LibreSSL 2.8.3'. See: https://github.com/urllib3/urllib3/issues/3020\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "        <iframe\n",
+       "            width=\"100%\"\n",
+       "            height=\"650\"\n",
+       "            src=\"http://0.0.0.0:8050/\"\n",
+       "            frameborder=\"0\"\n",
+       "            allowfullscreen\n",
+       "            \n",
+       "        ></iframe>\n",
+       "        "
+      ],
+      "text/plain": [
+       "<IPython.lib.display.IFrame at 0x15619fbe0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import os\n",
+    "import plotly.express as px\n",
+    "import plotly.graph_objects as go\n",
+    "import pandas as pd\n",
+    "from dash import Dash, html, dcc, Input, Output, callback\n",
+    "import plotly.express as px\n",
+    "import numpy as np\n",
+    "from plotly.subplots import make_subplots\n",
+    "import core\n",
+    "\n",
+    "df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gapminder_unfiltered.csv')\n",
+    "debug = False\n",
+    "\n",
+    "external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']\n",
+    "\n",
+    "app = Dash(__name__, external_stylesheets=external_stylesheets)\n",
+    "\n",
+    "app.layout = html.Div([\n",
+    "    dcc.Location(id='url', refresh=False),\n",
+    "    html.Div(id='page-content')\n",
+    "])\n",
+    "\n",
+    "server = app.server\n",
+    "\n",
+    "\n",
+    "wine_similarity_df = pd.read_csv('data/wine_similarity.csv')\n",
+    "wine_list = wine_similarity_df['NAME'].unique()\n",
+    "geo = pd.read_csv('data/processed_wineyards.csv')\n",
+    "wine_regions=list(geo['Region'].unique()) + ['all']\n",
+    "wine_country = list(geo['Country'].unique()) + ['all']\n",
+    "# local_type = list(geo['LOCAL TYPE'].unique()) + ['all']\n",
+    "\n",
+    "# WT_GLOBAL = '*' if \n",
+    "\n",
+    "\n",
+    "# wine_country = geo['Country'].unique()\n",
+    "\n",
+    "\n",
+    "## Layout ##\n",
+    "\n",
+    "dashboard_layout =  html.Div([\n",
+    "    dcc.Link('About this project', href='/wiki'),\n",
+    "\n",
+    "    dcc.Graph(id='graph-content'),\n",
+    "    html.H1(children='Country', style={'textAlign':'center'}),\n",
+    "    dcc.Dropdown(wine_country, wine_country[-1], id='dropdown-wc'),\n",
+    "    html.H1(children='Region', style={'textAlign':'center'}),\n",
+    "    dcc.Dropdown(['all'],'all', id='dropdown-wr'),\n",
+    "    dcc.Graph(id='world-map-fig'),\n",
+    "\n",
+    "    html.H1(children='Wine Recommender', style={'textAlign':'center'}),\n",
+    "    dcc.Dropdown(wine_list, wine_list[0], id='dropdown-selection'),\n",
+    "    html.Div(id='wine-recommendation', children=''),\n",
+    "])\n",
+    "\n",
+    "\n",
+    "@app.callback(\n",
+    "    Output('dropdown-wr', 'options'),\n",
+    "    Input('dropdown-wc', 'value')\n",
+    ")\n",
+    "def set_wine_type_options(selected_wine_type):\n",
+    "    # Return the options based on the selected wine country\n",
+    "    pattern = r'.*' if selected_wine_type == 'all' else rf'{selected_wine_type}'\n",
+    "    #selected_wine_type = r'*' if selected_wine_type == r'all' else selected_wine_type\n",
+    "    return list(geo[geo['Country'].str.match(pattern, na=False)]['Region'].unique()) + ['all']\n",
+    "\n",
+    "\n",
+    "wiki_layout = html.Div([\n",
+    "    dcc.Link('Dashboard', href='/'),\n",
+    "\n",
+    "    html.H1('About this project'),\n",
+    "\n",
+    "    html.Div([\n",
+    "        html.Div([\n",
+    "\n",
+    "                    html.H3('What is this project about?'),\n",
+    "\n",
+    "                    html.P('We are a group of 4 Computer Science Engineering Students with a solid Artificial Intelligence background.'),\n",
+    "                    html.P('This project aims to showcase AI applications for improving Wine Tourism for SOGRAPE.'),\n",
+    "\n",
+    "\n",
+    "                    html.H3('\\'Bout us'),\n",
+    "                    html.Img(src='/assets/tourdevino_logo.webp', style={'width': '40%', 'height': 'auto', 'display': 'block', 'margin-left': 'auto', 'margin-right': 'auto'}),\n",
+    "                    html.P('This project was developed by a team of 4, in the context of the SOGRAPE 2024 hackathon.'),\n",
+    "                    html.P('The team members are:'),\n",
+    "                    html.H4('Rui Melo'),\n",
+    "                    html.H4('André Catarino'),\n",
+    "                    html.H4('Dinis Costa'),\n",
+    "                    html.H4('Paulo Fidalgo'),\n",
+    "\n",
+    "\n",
+    "        ], className='six columns'),], className='row'),\n",
+    "],\n",
+    "style={'background-color': '#333', 'font-family': 'Fantasy', 'color': '#999', 'padding': '10px'}\n",
+    "\n",
+    ")\n",
+    "\n",
+    "# Update the index\n",
+    "@callback(Output('page-content', 'children'), Input('url', 'pathname'))\n",
+    "def display_page(pathname):\n",
+    "    if pathname == '/':\n",
+    "        return dashboard_layout\n",
+    "    elif pathname == '/wiki':\n",
+    "        return wiki_layout\n",
+    "    else:\n",
+    "        return '404'\n",
+    "    # You could also return a 404 \"URL not found\" page here\n",
+    "\n",
+    "\n",
+    "@app.callback(\n",
+    "    Output('graph-content', 'figure'),\n",
+    "    Output('wine-recommendation', 'children'),\n",
+    "    Output('world-map-fig', 'figure'),\n",
+    "    Input('dropdown-selection', 'value'),\n",
+    "    Input('dropdown-wr', 'value'),\n",
+    "    Input('dropdown-wc', 'value')\n",
+    ")\n",
+    "def update_graph(value,wr,wc):\n",
+    "    ### Wine Recommendation ###\n",
+    "    recommended_wines = None\n",
+    "    if value:\n",
+    "        recommended_wines = core.get_top_5_similar_wines(value, wine_similarity_df)[1:]\n",
+    "        recommended_wines = \"; \".join(recommended_wines)\n",
+    "\n",
+    "\n",
+    "    ### World Map of wineyards ###\n",
+    "\n",
+    "    geo_df = pd.read_csv('data/processed_wineyards.csv')\n",
+    "    wr = r'.*' if wr == 'all' else rf'{wr}'\n",
+    "    #wr = r'*' if wr == 'all' else wr # wine region poiseu tbm tinha assim, mas agr tenho 2 filtros nao posos fazer infinitas condicoes assim ja sao 4, rota \n",
+    "    #wc = r'*' if wc == 'all' else wc # wine country & geo_df['Country'].str.match(wc)\n",
+    "    wc = r'.*' if wc == 'all' else rf'{wc}'\n",
+    "    geo_df = geo_df[geo_df['Region'].str.contains(wr, case=False, na=False, regex=True) & geo_df['Country'].str.contains(wc, case=False, na=False, regex=True)]\n",
+    "\n",
+    "\n",
+    "    world_map_fig = px.scatter_map(geo_df,\n",
+    "                            lat=geo_df['coord_x'],\n",
+    "                            lon=geo_df['coord_y'],\n",
+    "                            hover_name=geo_df['name'],\n",
+    "                            zoom=4,\n",
+    "                            hover_data={\n",
+    "                                'IsTouristic': True,\n",
+    "                                'Wine Type': True,\n",
+    "                                'Country': True,\n",
+    "                                'Region': True,\n",
+    "                                'Address': True,\n",
+    "\n",
+    "                            },\n",
+    "                            title='Wineyards around the world',\n",
+    "                            )\n",
+    "    \n",
+    "\n",
+    "\n",
+    "    return px.line(df, x='year', y='pop'), recommended_wines, world_map_fig\n",
+    "\n",
+    "\n",
+    "if __name__ == \"__main__\":\n",
+    "    app.run_server(host=\"0.0.0.0\", port=\"8050\", debug=debug)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "atc-smart-shower-YhjpRjjr-py3.10",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

app/dashboard.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
@@ -20,38 +20,11 @@
        "        "
       ],
       "text/plain": [
-       "<IPython.lib.display.IFrame at 0x28f564370>"
+       "<IPython.lib.display.IFrame at 0x169ff4f10>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[2024-09-17 12:44:28,042] ERROR in app: Exception on /_dash-update-component [POST]\n",
-      "Traceback (most recent call last):\n",
-      "  File \"/Users/ruimelo/anaconda3/envs/gan-nlp/lib/python3.10/site-packages/flask/app.py\", line 1473, in wsgi_app\n",
-      "    response = self.full_dispatch_request()\n",
-      "  File \"/Users/ruimelo/anaconda3/envs/gan-nlp/lib/python3.10/site-packages/flask/app.py\", line 882, in full_dispatch_request\n",
-      "    rv = self.handle_user_exception(e)\n",
-      "  File \"/Users/ruimelo/anaconda3/envs/gan-nlp/lib/python3.10/site-packages/flask/app.py\", line 880, in full_dispatch_request\n",
-      "    rv = self.dispatch_request()\n",
-      "  File \"/Users/ruimelo/anaconda3/envs/gan-nlp/lib/python3.10/site-packages/flask/app.py\", line 865, in dispatch_request\n",
-      "    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]\n",
-      "  File \"/Users/ruimelo/anaconda3/envs/gan-nlp/lib/python3.10/site-packages/dash/dash.py\", line 1376, in dispatch\n",
-      "    ctx.run(\n",
-      "  File \"/Users/ruimelo/anaconda3/envs/gan-nlp/lib/python3.10/site-packages/dash/_callback.py\", line 514, in add_context\n",
-      "    raise err\n",
-      "  File \"/Users/ruimelo/anaconda3/envs/gan-nlp/lib/python3.10/site-packages/dash/_callback.py\", line 503, in add_context\n",
-      "    output_value = _invoke_callback(func, *func_args, **func_kwargs)\n",
-      "  File \"/Users/ruimelo/anaconda3/envs/gan-nlp/lib/python3.10/site-packages/dash/_callback.py\", line 43, in _invoke_callback\n",
-      "    return func(*args, **kwargs)  # %% callback invoked %%\n",
-      "  File \"/var/folders/b4/lwfgccm95kqd2skcwvrt2fr00000gn/T/ipykernel_62984/1808289814.py\", line 112, in update_graph\n",
-      "    world_map_fig = px.scatter_map(geo_df,\n",
-      "TypeError: scatter_map() got an unexpected keyword argument 'projection_type'\n"
-     ]
     }
    ],
    "source": [
@@ -82,7 +55,15 @@
     "\n",
     "wine_similarity_df = pd.read_csv('data/wine_similarity.csv')\n",
     "wine_list = wine_similarity_df['NAME'].unique()\n",
+    "geo = pd.read_csv('data/processed_wineyards.csv')\n",
+    "wine_regions=list(geo['Region'].unique()) + ['all']\n",
+    "wine_country = list(geo['Country'].unique()) + ['all']\n",
+    "# local_type = list(geo['LOCAL TYPE'].unique()) + ['all']\n",
+    "\n",
+    "# WT_GLOBAL = '*' if \n",
+    "\n",
     "\n",
+    "# wine_country = geo['Country'].unique()\n",
     "\n",
     "\n",
     "## Layout ##\n",
@@ -91,8 +72,10 @@
     "    dcc.Link('About this project', href='/wiki'),\n",
     "\n",
     "    dcc.Graph(id='graph-content'),\n",
-    "\n",
-    "\n",
+    "    html.H1(children='Country', style={'textAlign':'center'}),\n",
+    "    dcc.Dropdown(wine_country, wine_country[-1], id='dropdown-wc'),\n",
+    "    html.H1(children='Region', style={'textAlign':'center'}),\n",
+    "    dcc.Dropdown(['all'],'all', id='dropdown-wr'),\n",
     "    dcc.Graph(id='world-map-fig'),\n",
     "\n",
     "    html.H1(children='Wine Recommender', style={'textAlign':'center'}),\n",
@@ -101,8 +84,15 @@
     "])\n",
     "\n",
     "\n",
-    "\n",
-    "\n",
+    "@app.callback(\n",
+    "    Output('dropdown-wr', 'options'),\n",
+    "    Input('dropdown-wc', 'value')\n",
+    ")\n",
+    "def set_wine_type_options(selected_wine_type):\n",
+    "    # Return the options based on the selected wine country\n",
+    "    pattern = r'.*' if selected_wine_type == 'all' else rf'{selected_wine_type}'\n",
+    "    #selected_wine_type = r'*' if selected_wine_type == r'all' else selected_wine_type\n",
+    "    return list(geo[geo['Country'].str.match(pattern, na=False)]['Region'].unique()) + ['all']\n",
     "\n",
     "\n",
     "wiki_layout = html.Div([\n",
@@ -151,9 +141,11 @@
     "    Output('graph-content', 'figure'),\n",
     "    Output('wine-recommendation', 'children'),\n",
     "    Output('world-map-fig', 'figure'),\n",
-    "    Input('dropdown-selection', 'value')\n",
+    "    Input('dropdown-selection', 'value'),\n",
+    "    Input('dropdown-wr', 'value'),\n",
+    "    Input('dropdown-wc', 'value')\n",
     ")\n",
-    "def update_graph(value):\n",
+    "def update_graph(value,wr,wc):\n",
     "    ### Wine Recommendation ###\n",
     "    recommended_wines = None\n",
     "    if value:\n",
@@ -164,6 +156,11 @@
     "    ### World Map of wineyards ###\n",
     "\n",
     "    geo_df = pd.read_csv('data/processed_wineyards.csv')\n",
+    "    wr = r'.*' if wr == 'all' else rf'{wr}'\n",
+    "    #wr = r'*' if wr == 'all' else wr # wine region poiseu tbm tinha assim, mas agr tenho 2 filtros nao posos fazer infinitas condicoes assim ja sao 4, rota \n",
+    "    #wc = r'*' if wc == 'all' else wc # wine country & geo_df['Country'].str.match(wc)\n",
+    "    wc = r'.*' if wc == 'all' else rf'{wc}'\n",
+    "    geo_df = geo_df[geo_df['Region'].str.contains(wr, case=False, na=False, regex=True) & geo_df['Country'].str.contains(wc, case=False, na=False, regex=True)]\n",
     "\n",
     "\n",
     "    world_map_fig = px.scatter_map(geo_df,\n",

app/data/simulated_ratings.csv

@@ -0,0 +1,101 @@
+,Azevedo,Gazela,Aura,Dedicado,Legado,Offley,Quinta dos Carvalhais,Série Ímpar,Antónia Adelaide Ferreira,Casa Ferreirinha,Finca Flichman,Herdade do peso,Marqués de Burgos,Porto Ferreira,Sandeman,Silk & Spice,Chateau Los Boldos,Framingham,LAN,Mateus,Quinta da Romeira,Santiago Ruiz,cluster
+User1,0.0,0.06443997699726,0.3449056039735562,0.4550084646356445,0.41979810478787327,0.2879387614301103,0.0,0.2973576757817604,0.0,0.3822648242939971,0.14619597056891132,0.0,0.0,0.5847009321959864,0.13545994284272633,0.1423681523708309,0.0,0.06797446517051575,0.02832357962966947,0.0,0.07140870854193504,0.0,2
+User2,0.5948287083965925,0.44335961955737735,0.011698380387221374,0.0,0.0,0.49461461311474775,0.0,0.005729251508012512,0.5693673814797996,0.4322713311933959,0.2728984924468866,0.40638688755439234,0.0,0.37012628159515615,0.498129573429527,0.0,0.004207885943851908,0.11060004916376354,0.4369501449455857,0.45779972434207394,0.0,0.0,1
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app/data/wineyards.csv

@@ -1,4 +1,4 @@
-NAME,IsTouristic,LOCAL TYPE,WINE TYPE,SIZE,COUNTRY,REGION,ADDRESS,COORD
+NAME,IsTouristic,LOCAL_TYPE,WINE_TYPE,SIZE,COUNTRY,REGION,ADDRESS,COORD
 Quinta de Azevedo,No,Quinta,Verde,41,Portugal,Douro,"R. Conde de Azevedo 237, 4750-511 Roriz","41.57330853032964, -8.533706262471226"
 Quinta do Porto,No,Quinta,Douro,27,Portugal,Douro,"N226, 5100","41.1285485073888, -7.816127554438324"
 Quinta do Seixo,Quinta do Seixo,Quinta,,100,Portugal,Douro,"Largo de Eiras 37, 5150-084 Almendra","41.02111060351561, -7.011243914386894"