X-Git-Url: https://git.toastfreeware.priv.at/chrisu/seepark.git/blobdiff_plain/21ba143aa9998e73cb5d74144aba83addeaa7a7b..35b005a713dfc2160b9b887ab1fa37668a0bb504:/web/seepark_web.py

diff --git a/web/seepark_web.py b/web/seepark_web.py
index de719ba..59e0c8b 100644
--- a/web/seepark_web.py
+++ b/web/seepark_web.py
@@ -1,25 +1,27 @@
-from random import uniform
 import datetime
 import time
 import configparser
 import os
 import sys
 from collections import defaultdict
-from flask import Flask, render_template, jsonify, request
+from flask import Flask, render_template, jsonify, request, abort, Response
 import flask.json
-from flask_sqlalchemy import SQLAlchemy
+from flask_sqlalchemy import SQLAlchemy, inspect
+from sqlalchemy import func
 
 
-app_path = os.path.dirname(os.path.realpath(__file__))
-lib_path = os.path.join(cur_path, '..')
-sys.path.append(lib_path)
-from seeparklib.openweathermap import openweathermap_json, OpenWeatherMapError
+# https://stackoverflow.com/a/37350445
+def sqlalchemy_model_to_dict(model):
+    return {c.key: getattr(model, c.key)
+        for c in inspect(model).mapper.column_attrs}
 
 
 class JSONEncoder(flask.json.JSONEncoder):
     def default(self, object):
         if isinstance(object, datetime.datetime):
             return object.isoformat()
+        elif isinstance(object, db.Model):
+            return sqlalchemy_model_to_dict(object)
         return super().default(object)
 
 
@@ -39,7 +41,7 @@ config = configparser.ConfigParser()
 config.read(os.environ['SEEPARKINI'])
 apikey = config.get('openweathermap', 'apikey')
 cityid = config.get('openweathermap', 'cityid')
-mainsensor = config.get('temperature', 'mainsensor')
+mainsensor = config.get('webapp', 'mainsensor')
 
 app = Flask(__name__)
 app.json_encoder = JSONEncoder
@@ -53,59 +55,157 @@ class Sensors(db.Model):
     __tablename__ = 'sensors'
 
 
-def select_sensordata(initial_where):
-    query = Sensors.query.filter(initial_where)
-    begin = request.args.get('begin', None, parse_datetime)
-    end = request.args.get('end', None, parse_datetime)
+class OpenWeatherMap(db.Model):
+    __tablename__ = 'openweathermap'
+
+
+def calc_grouping_resolution(begin, end):
+    """How many data points should be between the timestamps begin and end?"""
+    # copied from munin/master/_bin/munin-cgi-graph.in
+    resolutions = dict(
+        day   =   300,
+        week  =  1800,
+        month =  7200,
+        year  = 86400,
+    )
+    duration = (end - begin).total_seconds()
+    day = 60 * 60 * 24
+    if duration <= day:
+        resolution = resolutions['day']
+    elif duration <= 7 * day:
+        resolution = resolutions['week']
+    elif duration <= 31 * day:
+        resolution = resolutions['month']
+    else:
+        resolution = resolutions['year']
+    return resolution
+
+
+def select_sensordata(sensor_id, sensor_type, begin, end):
+    query = Sensors.query
+    if sensor_id is not None:
+        query = query.filter(Sensors.sensor_id == sensor_id)
+    if sensor_type is not None:
+        query = query.filter(Sensors.value_type == sensor_type)
     if begin is not None:
         query = query.filter(Sensors.timestamp >= begin)
     if end is not None:
         query = query.filter(Sensors.timestamp <= end)
-    result = query.all()
-
+    return query.all()
+
+
+def select_sensordata_grouped(sensor_id, sensor_type, begin, end):
+    # determine resolution (interval in seconds for data points)
+    resolution = calc_grouping_resolution(begin, end)
+
+    # Let the database do the grouping. Example in SQL (MySQL):
+    # 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;
+    query = db.session.query(func.to_seconds(Sensors.timestamp).op('div')(resolution).label('g'),
+            func.from_unixtime(func.avg(func.unix_timestamp(Sensors.timestamp))).label('timestamp'),
+            func.avg(Sensors.value).label('value'),
+            Sensors.sensor_id, Sensors.value_type, Sensors.sensor_name)
+    if sensor_id is not None:
+        query = query.filter(Sensors.sensor_id == sensor_id)
+    if sensor_type is not None:
+        query = query.filter(Sensors.value_type == sensor_type)
+    query = query.filter(Sensors.timestamp >= begin)
+    query = query.filter(Sensors.timestamp <= end)
+    query = query.group_by('g', Sensors.sensor_id, Sensors.value_type, Sensors.sensor_name)
+    return query.all()
+
+
+def select_openweatherdata(cityid, begin, end):
+    query = OpenWeatherMap.query.filter(OpenWeatherMap.cityid == cityid)
+    if begin is not None:
+        query = query.filter(OpenWeatherMap.datetime >= begin)
+    if end is not None:
+        query = query.filter(OpenWeatherMap.datetime <= end)
+    return query.all()
+
+
+def select_openweatherdata_grouped(cityid, begin, end):
+    # determine resolution (interval in seconds for data points)
+    resolution = calc_grouping_resolution(begin, end)
+
+    # Let the database do the grouping. Example in SQL (MySQL):
+    # 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;
+    query = db.session.query(func.to_seconds(OpenWeatherMap.datetime).op('div')(resolution).label('g'),
+            func.from_unixtime(func.avg(func.unix_timestamp(OpenWeatherMap.datetime))).label('datetime'),
+            func.avg(OpenWeatherMap.temp).label('temp'),
+            OpenWeatherMap.cityid)
+    OpenWeatherMap.query.filter(OpenWeatherMap.cityid == cityid)
+    query = query.filter(OpenWeatherMap.datetime >= begin)
+    query = query.filter(OpenWeatherMap.datetime <= end)
+    query = query.group_by('g', OpenWeatherMap.cityid)
+    return query.all()
+
+
+def convert_to_c3(result, id, field_x, field_y):
+    c3result = defaultdict(list)
+    for row in result:
+        c3result[str(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
+
+
+def request_arg(key, type, default=None):
+    """Returns the key from the request if available, otherwise the default value.
+    In case type is provided and the key is present, the value is converted by calling type.
+    In other words: Reimplement request.args.get but don't return default value if
+    type raises a ValueError."""
+    if key in request.args:
+        try:
+            return type(request.args[key])
+        except ValueError as e:
+            abort(Response(str(e), 400))
+    else:
+        return default
+
+
+def sensordata(sensor_id=None, sensor_type=None):
+    begin = request_arg('begin', parse_datetime)
+    end = request_arg('end', parse_datetime)
     mode = request.args.get('mode', 'full')
-    if mode == 'consolidated':
+    format = request.args.get('format', 'default')
+
+    if mode == 'full':
+        result = select_sensordata(sensor_id, sensor_type, begin, end)
+    elif mode == 'consolidated':
         if begin is None or end is None:
-            pass
-        else:
-            # copied from munin/master/_bin/munin-cgi-graph.in
-            resolutions = dict(
-                day   =   300,
-                week  =  1800,
-                month =  7200,
-                year  = 86400,
-            )
-            duration = (end - begin).total_seconds()
-            day = 60 * 60 * 24
-            if duration < day:
-                resolution = resolutions['day']
-            elif duration < 7 * day:
-                resolution = resolutions['week']
-            elif duration < 31 * day:
-                resolution = resolutions['month']
-            else:
-                resolution = resolutions['year']
-            # TODO: filter out samples from 'result'
-            # like loop over results and skip if timestamp(n+1)-timestamp(n)<resolution
+            abort(Response('begin and end have to be set for mode==consolidated', 400))
+        result = select_sensordata_grouped(sensor_id, sensor_type, begin, end)
+    else:
+        abort(Response('unknown value for mode', 400))
+
+    if format == 'c3':
+        return convert_to_c3(result, 'sensor_id', 'timestamp', 'value')
+    return result
 
+
+def openweathermapdata(cityid):
+    begin = request_arg('begin', parse_datetime)
+    end = request_arg('end', parse_datetime)
+    mode = request.args.get('mode', 'full')
     format = request.args.get('format', 'default')
+
+    if mode == 'full':
+        result = select_openweatherdata(cityid, begin, end)
+    elif mode == 'consolidated':
+        if begin is None or end is None:
+            abort(Response('begin and end have to be set for mode==consolidated', 400))
+        result = select_openweatherdata_grouped(cityid, begin, end)
+    else:
+        abort(Response('unknown value for mode', 400))
+
     if format == 'c3':
-        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)
-        result = c3result
+        return convert_to_c3(result, 'cityid', 'datetime', 'temp')
     return result
 
 
-def currentairtemperature(apikey, cityid):
-    """Retruns the tuple temperature, datetime (as float, datetime) in case of success, otherwise None, None."""
-    try:
-        weatherdata = openweathermap_json(apikey, cityid)
-        return weatherdata['main']['temp'], datetime.datetime.fromtimestamp(weatherdata['dt'])
-    except OpenWeatherMapError:
-        return None, None
+def currentairtemperature(cityid):
+    result = OpenWeatherMap.query.filter_by(cityid=cityid).order_by(OpenWeatherMap.datetime.desc()).first()
+    return result.temp, result.datetime
 
 
 def currentwatertemperature(sensorid):
@@ -130,8 +230,8 @@ def sensorid(version, sensor_id):
     mode=<full|consolidated>, optional. return all rows (default) or with lower resolution (for charts)
     format=<default|c3>, optional. return result as returned by sqlalchemy (default) or formatted for c3.js
     """
-    result = select_sensordata(Sensors.sensor_id == sensor_id)
-    return jsonify([row._asdict() for row in result])
+    result = sensordata(sensor_id=sensor_id)
+    return jsonify(result)
 
 
 @app.route('/api/<version>/sensor/type/<sensor_type>')
@@ -144,43 +244,27 @@ def sensortype(version, sensor_type):
     mode=<full|consolidated>, optional. return all rows (default) or with lower resolution (for charts)
     format=<default|c3>, optional. return result as returned by sqlalchemy (default) or formatted for c3.js
     """
-    result = select_sensordata(Sensors.value_type == sensor_type)
+    result = sensordata(sensor_type=sensor_type)
     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('/api/<version>/openweathermap/cities')
+def openweathermap_cities(version):
+    """List all city IDs found in the database"""
+    result = db.session.query(OpenWeatherMap.cityid).distinct().all()
+    return jsonify(result)
+
+
+@app.route('/api/<version>/openweathermap/city/<cityid>')
+def openweathermap_city(version, cityid):
+    """List all data found for a city"""
+    result = openweathermapdata(cityid=cityid)
+    return jsonify(result)
 
 
 @app.route("/")
 def index():
-    airvalue, airtime     = currentairtemperature(apikey, cityid)
+    airvalue, airtime     = currentairtemperature(cityid)
     watervalue, watertime = currentwatertemperature(mainsensor)
 
     return render_template(