Move geocoding to Google API

analyze.py

@@ -96,8 +96,28 @@ def get_categories(article_body):
     return found_categories or ['other']
 
 def get_geoloc(query):
-    encoded_query = urlencode(query + ", Berlin")
+    confidence_map = {
-    url = "http://nominatim.openstreetmap.org/search?q=" + encoded_query + " + "&countrycodes=de&format=json&limit=1"
+        "ROOFTOP": 10,
-    r = requests.get(url)
+        "RANGE_INTERPOLATED": 7,
+        "GEOMETRIC_CENTER": 4,
+        "APPROXIMATE": 1
+    }
 
-    return(r.json()[0]["lat"], r.json()[0]["lon"])
+    params = {
+        "address": query + ", Berlin",
+        "components": "country:DE"
+    }
+
+    url = "http://maps.googleapis.com/maps/api/geocode/json?" + urlencode(params)
+    r = requests.get(url).json()["results"]
+
+    locations = []
+    for location in r:
+        print(location)
+        locations.append({
+            "lat": location["geometry"]["location"]["lat"],
+            "lng": location["geometry"]["location"]["lng"],
+            "confidence": confidence_map[location["geometry"]["location_type"]]
+        })
+
+    return locations

locator.py

@@ -0,0 +1,22 @@
+import time
+from models import *
+from analyze import *
+
+for article in Article.select().limit(5):
+    potential = get_potential_places(article.place, article.description)
+    places = improve_potential_places(potential)
+
+    print("Found places: {}".format(places))
+
+    for place in places:
+        query = " ".join([word for (word, tag) in place])
+        print("Query: {}, Berlin".format(query))
+
+        locations = get_geoloc(query)
+
+        for location in locations:
+            location["article"] = article
+            location["match"] = query
+            Location.create(**location)
+
+        # time.sleep(1)

models.py

@@ -16,7 +16,17 @@ class Article(BaseModel):
     description = TextField()
     hash = BlobField(index=True)
 
+class Location(BaseModel):
+    """
+    A location describes the place an incident has happened
+    """
+    confidence = IntegerField()
+    lat = DoubleField()
+    lng = DoubleField()
+    match = CharField()
+    article = ForeignKeyField(Article)
+
 # Set up the tables
 def create_tables():
     db.connect()
-    db.create_tables([Article])
+    db.create_tables([Article, Location])

tagger.py

@@ -1,17 +0,0 @@
-from nltk.tag.stanford import POSTagger
-from models import Article
-from analyze import *
-
-tagger = POSTagger('./stanford-postagger-full-2014-10-26/models/german-fast.tagger',
-                   './stanford-postagger-full-2014-10-26/stanford-postagger-3.5.0.jar',
-                    'UTF-8')
-
-for article in Article.select().limit(100):
-    potential = get_potential_places(article.place, article.description)
-    places = improve_potential_places(potential)
-
-    print(article.place)
-    print(article.description)
-    print()
-    print("Potential: " + str(potential))
-    print("Improved:  " + str(places))