Scrape for "paris coronavirus" images

app/data_request.py

@@ -4,14 +4,14 @@ from typing import List
 from bs4 import BeautifulSoup
 from requests import get
 
-from constants import FLICKR_URL, URL
+from constants import FLICKR_URL, DATASET_URL
 
 
 def format_url(dataset) -> str:
     """
     Constructs the API's URL for the requested dataset
     """
-    link = URL.format(dataset)
+    link = DATASET_URL.format(dataset)
     return link
 
 

app/preprocessing.py

@@ -21,5 +21,6 @@ def create_map(df):
     """
     m = Map(location=COORDINATES, zoom_start=12)
     for index, row in df.iterrows():
-        Marker(location=row["fields.geo_shape.coordinates"]).add_to(m)
+        lng, lat = row["fields.geo_shape.coordinates"]
+        Marker(location=[lat, lng]).add_to(m)
     m.save("app/templates/map.html")

app/processing.py

@@ -3,7 +3,7 @@ from app.preprocessing import create_dataframe, create_map
 
 def create_table(df) -> str:
     df.fillna(value=0, inplace=True)
-    table = df.to_html(classes=["table-striped", "table-hover"])
+    table = df.to_html(classes=["table-striped", "table-sm", "table-responsive"])
     return table
 
 

app/routes.py

@@ -33,5 +33,5 @@ def map():
 
 @app.route("/photos")
 def photos():
-    images = scrape_flickr("paris")
+    images = scrape_flickr("paris coronavirus")
     return render_template("photos.html", title="Photos", images=images)

app/templates/visualization.html

@@ -3,9 +3,13 @@
 
 {% block app_content %}
 <h1>Dataset visualization</h1>
-<iframe class="map", src="/map" width="400" height="400"></iframe>
-<table style="margin-left: 350px;">
-{{ table|safe }}
-</table>
+<div class="row">
+    <div class="col-md-9">
+        {{ table|safe }}
+    </div>
+    <div class="col-md-1">
+        <iframe class="map", src="/map" width="350" height="350"></iframe>
+    </div>
+</div>
 <p><a href="{{ url_for('data') }}">Back</a></p>
 {% endblock %}

constants.py

@@ -4,7 +4,7 @@ DATASETS = [
     "deconfinement-parking-relais-doublement-des-places",
     "deconfinement-rues-amenagees-pour-pietons",
 ]
-URL = "https://opendata.paris.fr/api/records/1.0/search/?dataset={}&q=&rows=-1"
+DATASET_URL = "https://opendata.paris.fr/api/records/1.0/search/?dataset={}&q=&rows=-1"
 FLICKR_URL = "https://www.flickr.com/search/?text={}"
 COLUMNS = {
     "deconfinement-pistes-cyclables-temporaires": [

tests/preprocessing_test.py

@@ -3,7 +3,7 @@ from requests import get
 
 from app.preprocessing import create_dataframe
 from app.data_request import request_dataset
-from constants import COLUMNS, DATASETS, URL
+from constants import COLUMNS, DATASETS, DATASET_URL
 
 
 def test_dataset_request():
@@ -11,7 +11,7 @@ def test_dataset_request():
     Checks that the datasets URLs are reachable
     """
     for dataset in DATASETS:
-        response = get(URL.format(dataset))
+        response = get(DATASET_URL.format(dataset))
         assert response.status_code == 200