Add readme and stub out requirements.txt.

README.md

@@ -0,0 +1,47 @@
+# README
+
+I got tired of APRS-IS websites not showing me all the paths that packets
+take, only the shortest path to IS. So this is a Python 3 tool that turns
+direwolf logs into a REST API in JSON format.
+
+## Setup
+1. Run direwolf with logging to CSV on by using `-l`. (`-L` not yet implemented).
+1. Install requirements using `pip install -r requirements.txt`.
+2. Run `app.py` with either a Python call or gunicorn (or some other WSGI server).
+You can use screen to detach the session.
+    - Default URL is http://127.0.0.1:5000
+3. Access the API from whatever other system you want.
+
+
+
+## Endpoints:
+-`/packets` - gives the most recent packets, with the fields from the Dire Wolf
+User Guide.
+
+Example of an object packet sent by W1CDN-1 and digipeated by K0UND-2:
+```
+{
+            "chan": 0,
+            "utime": 1680566406,
+            "isotime": "2023-04-04T00:00:06Z",
+            "source": "W1CDN-1",
+            "heard": "K0UND-2",
+            "level": "113(71/42)",
+            "error": 0,
+            "dti": ";",
+            "name": "147.390GF",
+            "symbol": "/r",
+            "latitude": 47.924167,
+            "longitude": -97.009667,
+            "speed": 0.0,
+            "course": 0.0,
+            "altitude": 0.0,
+            "frequency": 147.39,
+            "offset": 600.0,
+            "tone": 0.0,
+            "system": "DireWolf, WB2OSZ",
+            "status": 0,
+            "telemetry": 0.0,
+            "comment": " https://www.wa0jxt.org/"
+        },
+```

app.py

@@ -2,11 +2,12 @@ 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?
 import pandas as pd
 import numpy as np
 import ast
-import kiss
 import glob
+import json
 app = Flask(__name__)
 api = Api(app)
 
@@ -29,6 +30,7 @@ def read_logs(log_folder):
     for file in file_list:
         file1 = pd.read_csv(file)
         list_stacked = pd.concat([list_stacked, file1])
+
     # TODO Can we do this without numpy?
     list_stacked.replace(np.nan, 0, inplace=True)
     #print(list_stacked.head())
@@ -50,7 +52,6 @@ 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
-        #data = data.to_json(orient='records')
         return {'data': data}, 200  # return data and 200 OK code
 
 # Read config

requirements.txt

@@ -0,0 +1,4 @@
+flask
+flask_restful
+pandas
+numpy