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Noemí - lab-coffee-shops #3

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Noemí - lab-coffee-shops #3

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169c0bd
finished lab
niniet98 Nov 2, 2023
cff24f0
removed unused code
niniet98 Nov 2, 2023
6811b26
some corrections made
niniet98 Nov 3, 2023
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1 change: 1 addition & 0 deletions .gitignore
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,3 +4,4 @@
.vscode
**/*mt.ipynb
**/*mt
.env
298 changes: 280 additions & 18 deletions challenge-2.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -10,15 +10,66 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 3,
"id": "9b373771",
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import requests\n",
"import json\n",
"import pandas as pd\n",
"from getpass import getpass"
"from getpass import getpass\n",
"import os\n",
"import time\n",
"from pymongo import MongoClient\n",
"from dotenv import load_dotenv\n",
"load_dotenv()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "a067bb78",
"metadata": {},
"outputs": [],
"source": [
"token = os.getenv(\"token\")"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "8ae99123",
"metadata": {},
"outputs": [],
"source": [
"def requests_for_foursquare (query, lat, lon, radius=None, limit=1, sort='DISTANCE'):\n",
"\n",
" url = f\"https://api.foursquare.com/v3/places/search?query={query}&ll={lat}%2C{lon}&sort={sort}&limit={limit}\"\n",
"\n",
" if radius:\n",
" url += f'&radius={radius}'\n",
"\n",
" headers = {\n",
" \"accept\": \"application/json\",\n",
" \"Authorization\": token\n",
" }\n",
" \n",
" try:\n",
" return requests.get(url, headers=headers).json()\n",
" except:\n",
" print(\"no :(\")"
]
},
{
Expand All @@ -31,12 +82,102 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 16,
"id": "1d72f571",
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"{'fsq_id': '556d6217498ef50c5d323048',\n",
" 'categories': [{'id': 13003,\n",
" 'name': 'Bar',\n",
" 'short_name': 'Bar',\n",
" 'plural_name': 'Bars',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/nightlife/pub_',\n",
" 'suffix': '.png'}},\n",
" {'id': 13035,\n",
" 'name': 'Coffee Shop',\n",
" 'short_name': 'Coffee Shop',\n",
" 'plural_name': 'Coffee Shops',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/coffeeshop_',\n",
" 'suffix': '.png'}}],\n",
" 'chains': [],\n",
" 'closed_bucket': 'VeryLikelyOpen',\n",
" 'distance': 450,\n",
" 'geocodes': {'main': {'latitude': 41.397977, 'longitude': 2.195589},\n",
" 'roof': {'latitude': 41.397977, 'longitude': 2.195589}},\n",
" 'link': '/v3/places/556d6217498ef50c5d323048',\n",
" 'location': {'address': 'Calle de Pujades, 95',\n",
" 'admin_region': 'Cataluña',\n",
" 'country': 'ES',\n",
" 'cross_street': 'C. de Badajoz',\n",
" 'formatted_address': 'Calle de Pujades, 95 (C. de Badajoz), 08005 Barcelona',\n",
" 'locality': 'Barcelona',\n",
" 'postcode': '08005'},\n",
" 'name': \"Nømad Roaster's Home\",\n",
" 'related_places': {},\n",
" 'timezone': 'Europe/Madrid'}"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"where = \"Pamplona, 96, 08018 Barcelona\"\n",
"url_geocode = f\"https://geocode.xyz/{where}?json=1\"\n",
"response = requests.get(url_geocode)\n",
"response = response.json()\n",
"\n",
"res = requests_for_foursquare(\"coffee\", response['latt'], response['longt'], limit=10)\n",
"res = res['results']\n",
"res[0]"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "0881b7a0",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[{'name': \"Nømad Roaster's Home\",\n",
" 'location': {'address': 'Calle de Pujades, 95',\n",
" 'admin_region': 'Cataluña',\n",
" 'country': 'ES',\n",
" 'cross_street': 'C. de Badajoz',\n",
" 'formatted_address': 'Calle de Pujades, 95 (C. de Badajoz), 08005 Barcelona',\n",
" 'locality': 'Barcelona',\n",
" 'postcode': '08005'},\n",
" 'latitude': 41.397977,\n",
" 'longitude': 2.195589},\n",
" {'name': 'Three Marks Coffee',\n",
" 'location': {'address': 'Ausiàs Marc, 151',\n",
" 'admin_region': 'Cataluña',\n",
" 'country': 'ES',\n",
" 'formatted_address': 'Ausiàs Marc, 151, 08013 Barcelona Catalunya',\n",
" 'locality': 'Barcelona',\n",
" 'postcode': '08013',\n",
" 'region': 'Catalunya'},\n",
" 'latitude': 41.397168,\n",
" 'longitude': 2.183123}]"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# your code here"
"def get_name_location(rest):\n",
" return {'name': rest['name'], 'location': rest['location'], 'latitude': rest['geocodes']['main']['latitude'], 'longitude': rest['geocodes']['main']['longitude']}\n",
"\n",
"coffes = [get_name_location(i) for i in res]\n",
"coffes[0:2]"
]
},
{
Expand All @@ -49,12 +190,78 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 17,
"id": "fda8ddff",
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"[{'name': \"Nømad Roaster's Home\",\n",
" 'location': {'address': 'Calle de Pujades, 95',\n",
" 'admin_region': 'Cataluña',\n",
" 'country': 'ES',\n",
" 'cross_street': 'C. de Badajoz',\n",
" 'formatted_address': 'Calle de Pujades, 95 (C. de Badajoz), 08005 Barcelona',\n",
" 'locality': 'Barcelona',\n",
" 'postcode': '08005'},\n",
" 'latitude': 41.397977,\n",
" 'longitude': 2.195589},\n",
" {'name': 'Three Marks Coffee',\n",
" 'location': {'address': 'Ausiàs Marc, 151',\n",
" 'admin_region': 'Cataluña',\n",
" 'country': 'ES',\n",
" 'formatted_address': 'Ausiàs Marc, 151, 08013 Barcelona Catalunya',\n",
" 'locality': 'Barcelona',\n",
" 'postcode': '08013',\n",
" 'region': 'Catalunya'},\n",
" 'latitude': 41.397168,\n",
" 'longitude': 2.183123},\n",
" {'name': 'Brew Coffee',\n",
" 'location': {'address': 'Calle de Roger de Flor, 102',\n",
" 'admin_region': 'Cataluña',\n",
" 'country': 'ES',\n",
" 'cross_street': '',\n",
" 'formatted_address': 'Calle de Roger de Flor, 102, 08013 Barcelona Catalunya',\n",
" 'locality': 'Barcelona',\n",
" 'postcode': '08013',\n",
" 'region': 'Catalunya'},\n",
" 'latitude': 41.394562,\n",
" 'longitude': 2.178425},\n",
" {'name': 'El Petit Príncep',\n",
" 'location': {'address': 'Gran Vía de Les Corts Catalanes, 677',\n",
" 'admin_region': 'Cataluña',\n",
" 'country': 'ES',\n",
" 'cross_street': 'btwn c/ Nàpols & c/ Roger de Flor',\n",
" 'formatted_address': 'Gran Vía de Les Corts Catalanes, 677 (btwn c/ Nàpols & c/ Roger de Flor), 08013 Barcelona Catalunya',\n",
" 'locality': 'Barcelona',\n",
" 'postcode': '08013',\n",
" 'region': 'Catalunya'},\n",
" 'latitude': 41.396371,\n",
" 'longitude': 2.177069},\n",
" {'name': 'Federal',\n",
" 'location': {'address': 'Carrer del Taulat, 109',\n",
" 'admin_region': 'Cataluña',\n",
" 'country': 'ES',\n",
" 'cross_street': '',\n",
" 'formatted_address': 'Carrer del Taulat, 109, 08005 Barcelona Catalunya',\n",
" 'locality': 'Barcelona',\n",
" 'postcode': '08005',\n",
" 'region': 'Catalunya'},\n",
" 'latitude': 41.399656,\n",
" 'longitude': 2.205785}]"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# your code here"
"res = requests_for_foursquare(\"coffee\", response['latt'], response['longt'], limit=5)\n",
"res = res['results']\n",
"coffes = [get_name_location(i) for i in res]\n",
"coffes"
]
},
{
Expand All @@ -67,13 +274,64 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 27,
"id": "1fad5153",
"metadata": {},
"outputs": [],
"source": [
"def foursquare_places (venue, coordinates):\n",
" pass"
"def foursquare_places(venue, coordinates):\n",
" lat, lon = str(coordinates).split(',')\n",
" res = requests_for_foursquare (venue, lat, lon, radius = 500, sort = \"DISTANCE\", limit = 10)\n",
" \n",
" try:\n",
" data = res['results']\n",
" results = []\n",
" \n",
" for i in data:\n",
" name = i['name']\n",
" location = i['geocodes']['main']\n",
" lat = location.get('latitude')\n",
" lng = location.get('longitude')\n",
" results.append({\n",
" 'name': name,\n",
" 'lat': lat,\n",
" 'lng': lng\n",
" })\n",
" return results\n",
" except requests.exceptions.RequestException as e:\n",
" print(f\"Error: {e}\")\n",
" return []"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "018cfa34",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[{'name': 'Espacio 88', 'lat': 41.396993, 'lng': 2.191171},\n",
" {'name': 'SKYE Coffee Co', 'lat': 41.396937, 'lng': 2.191519},\n",
" {'name': 'Syra Coffee Poblenou', 'lat': 41.396518, 'lng': 2.19417},\n",
" {'name': 'Espai Joliu', 'lat': 41.398735, 'lng': 2.195069},\n",
" {'name': 'Granja Mabel', 'lat': 41.394816, 'lng': 2.187354},\n",
" {'name': 'Eva-2', 'lat': 41.401636, 'lng': 2.189006},\n",
" {'name': 'Cafeteria Industrial', 'lat': 41.399175, 'lng': 2.195368},\n",
" {'name': 'Market Cuina Fresca', 'lat': 41.398365, 'lng': 2.195559},\n",
" {'name': \"Nømad Roaster's Home\", 'lat': 41.397977, 'lng': 2.195589},\n",
" {'name': 'Mare Meva', 'lat': 41.402167, 'lng': 2.189879}]"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"res = foursquare_places(\"coffee\", response['latt'] + ',' + response['longt'])\n",
"res"
]
},
{
Expand All @@ -86,12 +344,12 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 29,
"id": "7ac5f2a8",
"metadata": {},
"outputs": [],
"source": [
"# your code here"
"pd.DataFrame(res).to_json('data/coffe_shops.json')"
]
},
{
Expand All @@ -104,20 +362,24 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 31,
"id": "85b94955",
"metadata": {},
"outputs": [],
"source": [
"# your code here"
"client = MongoClient(\"localhost:27017\")\n",
"db = client[\"ironhack\"]\n",
"collection = db['ironcoffee']\n",
"for coffe in coffes:\n",
" collection.insert_one(coffe)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "ironhack",
"language": "python",
"name": "ironhack"
"name": "python3"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -129,7 +391,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.13"
"version": "3.11.5"
},
"toc": {
"base_numbering": 1,
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