Lots of changes.

app.py

@@ -2,9 +2,6 @@ from flask import Flask
 from flask_restful import Resource, Api, reqparse
 from datetime import date, timedelta
 import configparser
-# TODO Can we do it without pandas and numpy? They are so big.
-#import pandas as pd
-#import numpy as np
 import csv
 import ast
 import glob
@@ -19,7 +16,7 @@ def read_config():
 
 def read_logs(log_folder):
     # Read some log files
-    # Zulu time, so let's look at tomorrow, today, and yesterday.
+    # UTC time, so let's look at tomorrow, today, and yesterday.
     # TODO Load new files into a database on a schedule?
     today = date.today()
     yesterday = today - timedelta(days = 1)
@@ -27,10 +24,6 @@ def read_logs(log_folder):
     file_list = glob.glob(log_folder+str(yesterday)+"*") + \
                 glob.glob(log_folder+str(today)+"*") + \
                 glob.glob(log_folder+str(tomorrow)+"*")
-    # list_stacked = pd.DataFrame()
-    # for file in file_list:
-    #     file1 = pd.read_csv(file)
-    #     list_stacked = pd.concat([list_stacked, file1])
 
     # https://stackoverflow.com/a/66071962
     json_array = []
@@ -41,27 +34,27 @@ def read_logs(log_folder):
                 #add this python dict to json array
                 json_array.append(row)
 
-    # TODO Can we do this without numpy?
-    #list_stacked.replace(np.nan, 0, inplace=True)
-    #print(list_stacked.head())
+    # Add the call and location of this station to the packet info
+    config = read_config()
+    for item in json_array:
+        item['station_name'] = config['Settings']['station_call']
+        item['station_lat'] = config['Settings']['station_lat']
+        item['station_lon'] = config['Settings']['station_lon']
+
     return(json_array)
 
-# class Users(Resource):
-#     def get(self):
-#         data = pd.read_csv('users.csv')  # read CSV
-#         data = data.to_dict(orient = 'records')  # convert dataframe to dictionary
-#         return {'data': data}, 200  # return data and 200 OK code
-
-# class Locations(Resource):
-#     def get(self):
-#         data = pd.read_csv('locations.csv')  # read CSV
-#         data = data.to_dict(orient = 'records')  # convert dataframe to dictionary
-#         return {'data': data}, 200  # return data and 200 OK code
+# TODO need a function that adds the most recent location for any 'name'
+# into a simple database. Then if it needs to be mapped, it can be, even
+# if it hasn't been recently heard directly.
 
 class Packets(Resource):
     def get(self):
-        #data = read_logs(log_folder) # re-reads the log files every time
-        #data = data.to_dict(orient = 'records')  # convert dataframe to dictionary
+        # TODO neither path nor actual path taken are included here--how to
+        # include them? I am not sure whether multiple stations would be listed
+        # in 'source' or not;
+        # "source": "KF4ME-7",
+        # "heard": "K0UND-2",
+        # TODO need to be able to pass arguments in URL to filter
 
         return {'data': data}, 200  # return data and 200 OK code
 
@@ -71,10 +64,7 @@ log_folder = config['Settings']['log_folder']
 # Load logs first (just to check for errors before page loads)
 data = read_logs(log_folder)
 
-
-#api.add_resource(Users, '/users')  # '/users' is our entry point for Users
-#api.add_resource(Locations, '/locations')  # and '/locations' is our entry point for Locations
 api.add_resource(Packets, '/packets')  # and '/locations' is our entry point for Locations
 
 if __name__ == '__main__':
-    app.run(debug=True)  # run our Flask app
+    app.run(debug=True, host='0.0.0.0')  # run our Flask app

config.ini

@@ -1,4 +1,9 @@
 [Settings]
-# Include trainling slash
+# Path to direwolf log folder, include trailing slash
 log_folder = logs/
 #log_folder = /home/pi/logs/direwolf/
+
+# Name and location of this station, for inclusion in the API
+station_call = W1CDN-1
+station_lat = 47.941500
+station_lon = -97.027000