js: play with ordering. this all doesn't seem to work with timeseries charts.

[chrisu/seepark.git] / web / seepark_web.py

diff --git a/web/seepark_web.py b/web/seepark_web.py
index a6d39302553bcd17f052b6cbde606473a81b9fd0..edde3749f03e42c3dd4e6b164e7aa2a77619dab1 100644 (file)
--- a/web/seepark_web.py
+++ b/web/seepark_web.py
@@ -1,4 +1,3 @@
-from random import uniform
 import datetime
 import time
 import configparser
@@ -75,7 +74,7 @@ def select_sensordata(sensor_id, sensor_type, begin, end, mode):
         query = query.filter(Sensors.timestamp >= begin)
     if end is not None:
         query = query.filter(Sensors.timestamp <= end)
-    if mode == 'consolidated' and begin is None and end is None:
+    if mode == 'consolidated' and begin is not None and end is not None:
         # copied from munin/master/_bin/munin-cgi-graph.in
         # interval in seconds for data points
         resolutions = dict(
@@ -86,16 +85,16 @@ def select_sensordata(sensor_id, sensor_type, begin, end, mode):
         )
         duration = (end - begin).total_seconds()
         day = 60 * 60 * 24
-        if duration < day:
+        if duration <= day:
             resolution = resolutions['day']
-        elif duration < 7 * day:
+        elif duration <= 7 * day:
             resolution = resolutions['week']
-        elif duration < 31 * day:
+        elif duration <= 31 * day:
             resolution = resolutions['month']
         else:
             resolution = resolutions['year']
         # TODO: filter out samples from 'result'
-        # something like 
+        # something like
         # select to_seconds(datetime) DIV (60*60*24) as interval_id, min(datetime), max(datetime), min(temp), avg(temp), max(temp), count(temp) from openweathermap group by interval_id order by interval_id;
     return query.all()
 
@@ -106,7 +105,7 @@ def select_openweatherdata(cityid, begin, end, mode):
         query = query.filter(OpenWeatherMap.datetime >= begin)
     if end is not None:
         query = query.filter(OpenWeatherMap.datetime <= end)
-    if mode == 'consolidated' and begin is None and end is None:
+    if mode == 'consolidated' and begin is not None and end is not None:
         # copied from munin/master/_bin/munin-cgi-graph.in
         # interval in seconds for data points
         resolutions = dict(
@@ -131,12 +130,12 @@ def select_openweatherdata(cityid, begin, end, mode):
     return query.all()
 
 
-def convert_to_c3(result):
+def convert_to_c3(result, id, field_x, field_y):
     c3result = defaultdict(list)
     for row in result:
-        c3result[row.sensor_id].append(row.value)
-        dt = row.timestamp.strftime('%Y-%m-%d %H:%M:%S')
-        c3result[row.sensor_id + '_x'].append(dt)
+        c3result[getattr(row, id)].append(getattr(row, field_y))
+        dt = getattr(row, field_x).strftime('%Y-%m-%d %H:%M:%S')
+        c3result[str(getattr(row, id)) + '_x'].append(dt)
     return c3result
 
 
@@ -163,7 +162,7 @@ def sensordata(sensor_id=None, sensor_type=None):
     result = select_sensordata(sensor_id, sensor_type, begin, end, mode)
 
     if format == 'c3':
-        return convert_to_c3(result)
+        return convert_to_c3(result, 'sensor_id', 'timestamp', 'value')
     return result
 
 
@@ -176,7 +175,7 @@ def openweathermapdata(cityid):
     result = select_openweatherdata(cityid, begin, end, mode)
 
     if format == 'c3':
-        return convert_to_c3(result)
+        return convert_to_c3(result, 'cityid', 'datetime', 'temp')
     return result
 
 
@@ -239,36 +238,6 @@ def openweathermap_city(version, cityid):
     return jsonify(result)
 
 
-@app.route('/data/', defaults={'timespan': 1})
-@app.route("/data/<int:timespan>", methods=['GET'])
-def data(timespan):
-    granularity = 5 * timespan               # (every) minute(s) per day
-    samples = 60/granularity * 24 * timespan # per hour over whole timespan
-    s4m   = []
-    s4m_x = []
-    s5m   = []
-    s5m_x = []
-    end   = time.time()
-    start = end - samples * granularity * 60
-
-    for i in range(int(samples)):
-        s4m.append(uniform(-10,30))
-        s5m.append(uniform(-10,30))
-        s4mt = uniform(start, end)
-        s5mt = uniform(start, end)
-        s4m_x.append(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(s4mt)))
-        s5m_x.append(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(s5mt)))
-
-    data = {
-        '0316a2193bff':   s4m,
-        '0316a2193bff_x': s4m_x,
-        '0316a21383ff':   s5m,
-        '0316a21383ff_x': s5m_x,
-        }
-
-    return jsonify(data)
-
-
 @app.route("/")
 def index():
     airvalue, airtime     = currentairtemperature(cityid)