X-Git-Url: https://git.toastfreeware.priv.at/chrisu/seepark.git/blobdiff_plain/97dea911176a579b4e927ba7f575bdb2d4438fc7..8e2b15c9ed5f03146cd999593b4d8515fde79858:/web/seepark_web.py

diff --git a/web/seepark_web.py b/web/seepark_web.py
index 5263174..9ad59f1 100644
--- a/web/seepark_web.py
+++ b/web/seepark_web.py
@@ -1,18 +1,140 @@
-from flask import Flask, render_template, jsonify
 from random import uniform
+import datetime
 import time
 import configparser
 import os
-app = Flask(__name__)
+from flask import Flask, render_template, jsonify, request
+import flask.json
+from sqlalchemy import create_engine
+
+
+class JSONEncoder(flask.json.JSONEncoder):
+    def default(self, object):
+        if isinstance(object, datetime.datetime):
+            return object.isoformat()
+        return super().default(object)
+
+
+def parse_datetime(date_str):
+    return datetime.datetime.strptime(date_str, '%Y-%m-%dT%H:%M:%S')
+
 
+app = Flask(__name__)
+app.json_encoder = JSONEncoder
 config = configparser.ConfigParser()
 config.read(os.environ['SEEPARKINI'])
-apikey = config.get('openweathermap', 'apikey');
+apikey = config.get('openweathermap', 'apikey')
+
+
+def open_engine(config):
+    user = config.get('database', 'user')
+    pwd = config.get('database', 'password')
+    host = config.get('database', 'hostname')
+    db = config.get('database', 'database')
+    engine = create_engine('mysql+mysqldb://{}:{}@{}/{}'.format(user, pwd, host, db), echo=False)
+    return engine
+
+
+def select_sensordata(initial_where, initial_sql_args):
+    engine = open_engine(config)
+    with engine.connect() as conn:
+        where = [initial_where]
+        sql_args = [initial_sql_args]
+        begin = None
+        end = None
+        if 'begin' in request.args:
+            where.append('timestamp>=%s')
+            begin = request.args.get('begin', None, parse_datetime)
+            sql_args.append(begin)
+        if 'end' in request.args:
+            where.append('timestamp<=%s')
+            end = request.args.get('end', None, parse_datetime)
+            sql_args.append(end)
+        sql = 'select * from sensors where {} order by id'.format(' and '.join(where))
+        cursor = conn.execute(sql, *sql_args)
+        result = [dict(row) for row in cursor]
+
+    mode = request.args.get('mode', 'full')
+    if 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
+
+    format = request.args.get('format', 'default')
+    if format == 'c3':
+        c3result = dict()
+        for row in result:
+            if not row['sensor_id'] in c3result:
+                c3result[row['sensor_id']] = list()
+            c3result[row['sensor_id']].append(row['value'])
+            if not row['sensor_id'] + '_x' in c3result:
+                c3result[row['sensor_id'] + '_x'] = list()
+            dt = row['timestamp'].strftime('%Y-%m-%d %H:%M:%S')
+            c3result[row['sensor_id'] + '_x'].append(dt)
+        result = c3result
+    return result
+
+
+@app.route('/api/<version>/sensors/')
+def sensors(version):
+    """List all sensors found in the database"""
+    engine = open_engine(config)
+    with engine.connect() as conn:
+        cursor = conn.execute('select distinct sensor_id, sensor_name, value_type from sensors')
+        result = [dict(row) for row in cursor]
+        return jsonify(result)
+
+
+@app.route('/api/<version>/sensor/id/<sensor_id>')
+def sensorid(version, sensor_id):
+    """Return all data for a specific sensor
+
+    URL parameters:
+    begin=<datetime>, optional, format like "2018-05-19T21:07:53"
+    end=<datetime>, optional, format like "2018-05-19T21:07:53"
+    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('sensor_id=%s', sensor_id)
+    return jsonify(result)
+
+
+@app.route('/api/<version>/sensor/type/<sensor_type>')
+def sensortype(version, sensor_type):
+    """Return all data for a specific sensor type
+
+    URL parameters:
+    begin=<datetime>, optional, format like "2018-05-19T21:07:53"
+    end=<datetime>, optional, format like "2018-05-19T21:07:53"
+    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('value_type=%s', 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   = []