Added Google Maps API features

README.md

@@ -23,6 +23,7 @@ Look in `settings.py` for a full list of all the configuration options.  Here's
 * `CRAIGSLIST_HOUSING_SECTION` -- the subsection of Craigslist housing that you want to look in.
 * `SLACK_CHANNEL` -- the Slack channel you want the bot to post in.
 
+
 External Setup
 --------------------
 
@@ -31,6 +32,7 @@ Before using this bot, you'll need a Slack team, a channel for the bot to post i
 * Create a Slack team, which you can do [here](https://slack.com/create#email).  
 * Create a channel for the listings to be posted into.  [Here's](https://get.slack.help/hc/en-us/articles/201402297-Creating-a-channel) help on this.  It's suggested to use `#housing` as the name of the channel.
 * Get a Slack API token, which you can do [here](https://api.slack.com/docs/oauth-test-tokens).  [Here's](https://get.slack.help/hc/en-us/articles/215770388-Creating-and-regenerating-API-tokens) more information on the process.
+* Get your Google Maps API token from [This link](https://developers.google.com/maps/documentation/javascript/get-api-key).
 
 Configuration
 --------------------
@@ -55,6 +57,7 @@ Configuration
 
 * Create a file called `private.py` in this folder.
     * Add a value called `SLACK_TOKEN` that contains your Slack API token.
+    * Add a value called `GOOGLE_TOKEN_PLACES` that contains your Google Maps API token.
     * Add any other values you want to `private.py`.
 
 Installation + Usage
@@ -68,7 +71,7 @@ Installation + Usage
     * `docker run -d -e SLACK_TOKEN={YOUR_SLACK_TOKEN} dataquestio/apartment-finder`
 * To run the program with your own configuration:
     * `docker run -d -e SLACK_TOKEN={YOUR_SLACK_TOKEN} -v {ABSOLUTE_PATH_TO_YOUR_CONFIG_FOLDER}:/opt/wwc/apartment-finder/config dataquestio/apartment-finder`
-    
+
 ## Manual
 
 * Look in the `Dockerfile`, and make sure you install any of the apt packages listed there.

scraper.py

@@ -32,6 +32,7 @@ class Listing(Base):
     cl_id = Column(Integer, unique=True)
     area = Column(String)
     bart_stop = Column(String)
+    distance_matrix_result = Column(String)
 
 Base.metadata.create_all(engine)
 
@@ -97,7 +98,8 @@ def scrape_area(area):
                 cl_id=result["id"],
                 area=result["area"],
                 bart_stop=result["bart"]
-            )
+                distance_matrix_result=result["distance_matrix_result"]
+                )
 
             # Save the listing so we don't grab it again.
             session.add(listing)

settings.py

@@ -114,6 +114,37 @@
 # Should be put in private.py, or set as an environment variable.
 SLACK_TOKEN = os.getenv('SLACK_TOKEN', "")
 
+# Google API Settings
+
+GOOGLE_TOKEN_PLACES = os.getenv('GOOGLE_TOKEN_PLACES', "")
+#You can use the distance API for time and distance informaiton
+# from the apartment found to specified locations. e.g. your work.
+# Information for the googlemaps distance matric api
+DESTINATIONS="Starbucks"
+MODE="transit"
+LANG="english"
+AVOID=None
+UNITS="metric"
+DEPART_TIME=None
+dt = datetime.now()
+art = dt.replace(hour=7,minute=45)
+ARRIV_TIME=art
+TRANS_MODE="bus"
+TRANS_ROUT_PREF="fewer_transfers"
+TRAFFIC_MODEL="best_guess"
+
+# Information for the googlemaps places api_call
+# For information about places in the area, eg. restaurants.
+radius=1500
+keyword=None
+min_price=0
+max_price=4
+name=None
+open_now=False
+rank_by=None
+TYPE="restaurant"
+
+
 # Any private settings are imported here.
 try:
     from private import *
@@ -124,4 +155,4 @@
 try:
     from config.private import *
 except Exception:
-    pass
+    pass

util.py

@@ -1,5 +1,6 @@
 import settings
 import math
+import googlemaps
 
 def coord_distance(lat1, lon1, lat2, lon2):
     """
@@ -36,6 +37,15 @@ def post_listing_to_slack(sc, listing):
     :param listing: A record of the listing.
     """
     desc = "{0} | {1} | {2} | {3} | <{4}>".format(listing["area"], listing["price"], listing["bart_dist"], listing["name"], listing["url"])
+    image_url=""
+    if listing["geotag"] != None:
+        image_url = """https://maps.googleapis.com/maps/api/staticmap?size=500x400"""+\
+        """&markers=color:blue%7Clabel:S%7C"""+str(settings.WORK_COORD[0])+","+str(settings.WORK_COORD[1])+\
+        """&markers=color:red%7Clabel:A%7C"""+str(listing["geotag"][0])+","+str(listing["geotag"][1])+"""&key="""+settings.GOOGLE_TOKEN_MAPS
+        attachments = [{"title": "map",
+                        "image_url": image_url}]
+    else:
+        attachments = None
     sc.api_call(
         "chat.postMessage", channel=settings.SLACK_CHANNEL, text=desc,
         username='pybot', icon_emoji=':robot_face:'
@@ -55,11 +65,27 @@ def find_points_of_interest(geotag, location):
     near_bart = False
     bart_dist = "N/A"
     bart = ""
+    distance_matrix_result=""
     # Look to see if the listing is in any of the neighborhood boxes we defined.
-    for a, coords in settings.BOXES.items():
-        if in_box(geotag, coords):
-            area = a
-            area_found = True
+
+    if geotag is not None:
+        for a, coords in settings.BOXES.items():
+            if in_box(geotag, coords):
+                area = a
+                area_found = True
+        # get googlemaps data for the distance and duration to the specified destination
+        gmaps = googlemaps.Client(key=settings.GOOGLE_TOKEN_DISTANCE)
+        distance_matrix = gmaps.distance_matrix(geotag, settings.DESTINATIONS, mode=settings.MODE, language=settings.LANG, avoid=settings.AVOID, units=settings.UNITS, departure_time=settings.DEPART_TIME, arrival_time=settings.ARRIV_TIME, transit_mode=settings.TRANS_MODE, transit_routing_preference=settings.TRANS_ROUT_PREF, traffic_model=settings.TRAFFIC_MODEL)
+        gplaces = googlemaps.Client(key=settings.GOOGLE_TOKEN_PLACES)
+        places_list = gplaces.places_nearby(geotag, settings.radius, settings.keyword, settings.LANG, settings.min_price, settings.max_price, settings.name, settings.open_now, settings.rank_by, settings.TYPE, page_token=None)
+        if distance_matrix['rows'][0]['elements'][0]['status'] != 'ZERO_RESULTS':
+            time = distance_matrix['rows'][0]['elements'][0]['duration']['text']
+            distance = distance_matrix['rows'][0]['elements'][0]['distance']['text']
+            distance_matrix_result = "{0} in {1}".format(distance, time)
+        else:
+            distance_matrix_result = "Google Error."
+    else:
+        distance_matrix_result= "Not enough location information available."
 
     # Check to see if the listing is near any transit stations.
     for station, coords in settings.TRANSIT_STATIONS.items():
@@ -84,4 +110,5 @@ def find_points_of_interest(geotag, location):
         "near_bart": near_bart,
         "bart_dist": bart_dist,
         "bart": bart
+        "distance_matrix_result": distance_matrix_result
     }