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import cgi
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import datetime
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import os
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import sqlite3
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from genshi.template import TemplateLoader
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from genshi.template.base import Context
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BASE_PATH = '/home/dsorber/bfcs'
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DB_PATH = os.path.join(BASE_PATH, 'beer_temps.db')
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TEMPLATE_PATH = os.path.join(BASE_PATH, 'templates')
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# It accepts two arguments:
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# environ points to a dictionary containing CGI like environment variables
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# which is filled by the server for each received request from the client
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# start_response is a callback function supplied by the server
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# which will be used to send the HTTP status and headers to the server
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def application(environ, start_response):
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loader = TemplateLoader(TEMPLATE_PATH, auto_reload=True)
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if not environ['PATH_INFO'] or environ['PATH_INFO'] == '/':
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# Load the index template
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template = loader.load('index.html')
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# Create the response args
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response_args = {'title': 'Beer Fermentation Control System'}
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# Open up the connection to the database, execute the query,
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# grab the results, then close the DB connection.
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db_conn = sqlite3.connect(DB_PATH)
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db = db_conn.cursor()
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db.execute("select strftime('%m/%d/%Y', date(ts, 'unixepoch')), "
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" count(ts), avg(temp1), max(temp1), min(temp1),"
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" avg(temp2), max(temp2), min(temp2), avg(temp3),"
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" max(temp3), min(temp3), avg(temp4), max(temp4),"
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" min(temp4)"
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"from temp_data "
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"group by date(ts, 'unixepoch')")
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response_args['results'] = db.fetchall()
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db_conn.close()
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# Generate the stream and then render it to HTML
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stream = template.generate(**response_args)
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response_body = stream.render('html', doctype='html', encoding='utf-8')
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# Set the appropriate response headers
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response_headers = [('Content-Type', 'text/html; charset=utf-8'),
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('Content-Length', str(len(response_body)))]
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elif environ['PATH_INFO'].startswith('/day/') and environ['PATH_INFO'].endswith('/all'):
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# Load the all template
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template = loader.load('all.html')
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# Parse the date out of the URL (TODO: validate all this)
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day = environ['PATH_INFO'][5:7]
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month = environ['PATH_INFO'][7:9]
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year = environ['PATH_INFO'][9:13]
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date = '%s/%s/%s' % (month, day, year)
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# Create the response args
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response_args = {'title': 'Sensor Readings for %s' % date}
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# Open up the connection to the database, execute the query
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# (limit to today and the past 5 minutes),
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# grab the results, then close the DB connection.
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db_conn = sqlite3.connect(DB_PATH)
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db = db_conn.cursor()
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db.execute("select strftime('%%H:%%M:%%S', ts, 'unixepoch'), "
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" temp1, temp2, temp3, temp4, relay_status "
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"from temp_data "
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"where date(ts, 'unixepoch') is date('%s-%s-%s')"
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"order by ts desc" % (year, month, day))
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response_args['results'] = db.fetchall()
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db_conn.close()
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# Generate the stream and then render it to HTML
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stream = template.generate(**response_args)
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response_body = stream.render('html', doctype='html', encoding='utf-8')
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# Set the appropriate response headers
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response_headers = [('Content-Type', 'text/html; charset=utf-8'),
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('Content-Length', str(len(response_body)))]
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elif environ['PATH_INFO'].startswith('/day/'):
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# Load the day template
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template = loader.load('day.html')
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# Parse the date out of the URL (TODO: validate all this)
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day = environ['PATH_INFO'][5:7]
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month = environ['PATH_INFO'][7:9]
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year = environ['PATH_INFO'][9:13]
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date = '%s/%s/%s' % (month, day, year)
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# Create the response args
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response_args = {'title': 'Sensor Readings for %s' % date,
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'url_date': environ['PATH_INFO'][5:13]}
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# Open up the connection to the database, execute the query
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# (limit to today and the past 5 minutes),
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# grab the results, then close the DB connection.
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db_conn = sqlite3.connect(DB_PATH)
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db = db_conn.cursor()
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db.execute("select strftime('%%H:%%M:%%S', ts, 'unixepoch'), "
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" temp1, temp2, temp3, temp4, relay_status "
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"from temp_data "
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"where date(ts, 'unixepoch') is date('%s-%s-%s')"
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"order by ts desc limit 300" % (year, month, day))
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response_args['results'] = db.fetchall()
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# Chart query
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#
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db.execute("select strftime('%%H:%%M:%%S', ts, 'unixepoch'), ts, temp1, "
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" temp2, temp3, temp4 from ( "
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"select ts, temp1, temp2, temp3, temp4 "
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"from temp_data "
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"where date(ts, 'unixepoch') is date('%s-%s-%s')"
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"order by ts desc limit 60) order by ts"
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% (year, month, day))
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chart_results = db.fetchall()
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# Process chart query results
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sensor1_data = []
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sensor2_data = []
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sensor3_data = []
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sensor4_data = []
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for row in chart_results:
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sensor1_data.append([int(row[1]) * 1000, row[2]])
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sensor2_data.append([int(row[1]) * 1000, row[3]])
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sensor3_data.append([int(row[1]) * 1000, row[4]])
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sensor4_data.append([int(row[1]) * 1000, row[5]])
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response_args['sensor1_data'] = str(sensor1_data)
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response_args['sensor2_data'] = str(sensor2_data)
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response_args['sensor3_data'] = str(sensor3_data)
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response_args['sensor4_data'] = str(sensor4_data)
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# This is a bit of hack to get around a javascript issue in
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# the template
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# response_args['chart_results'] = chart_results[:-1]
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# response_args['chart_last_row'] = chart_results[-1]
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db_conn.close()
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# Generate the stream and then render it to HTML
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stream = template.generate(**response_args)
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response_body = stream.render('html', doctype='html', encoding='utf-8')
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# Set the appropriate response headers
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response_headers = [('Content-Type', 'text/html; charset=utf-8'),
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('Content-Length', str(len(response_body)))]
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elif environ['PATH_INFO'] == ('/chart_update'):
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# Update the self updating chart
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response_body = ''
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if environ['QUERY_STRING']:
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# Parse the query string to get the last timestamp from the client
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get_args = cgi.parse_qs(environ['QUERY_STRING'])
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last_ts = int(get_args['last_ts'][0])
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date_from_ts = datetime.datetime.fromtimestamp(last_ts)
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# Reconstruct portions of the date from the ts
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year = date_from_ts.year
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month = '%02d' % date_from_ts.month
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day = '%02d' % date_from_ts.day
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# Grab any entries from the supplied date that are greater than
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# the last timestamp sent from the client javascript
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db_conn = sqlite3.connect(DB_PATH)
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db = db_conn.cursor()
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db.execute("select strftime('%%H:%%M:%%S', ts, 'unixepoch'), ts, "
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" temp1, temp2, temp3, temp4, relay_status "
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"from temp_data "
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"where date(ts, 'unixepoch') is date('%s-%s-%s') and "
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" ts > %s "
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"order by ts asc limit 60" % (year, month, day, last_ts))
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db_rows = db.fetchall()
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db_conn.close()
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# Iterate over the rows fetched by the query and pretty them up
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# in preparation of being sent back to the client javascript for
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# display
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result_rows = []
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for row in db_rows:
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result_rows.append('%s %s %s %s %s %s %s' %
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(row[0], (int(row[1]) * 1000),
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row[2], row[3], row[4], row[5],
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int(row[6]) and 'on' or 'off'))
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response_body = ','.join(result_rows)
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response_body = response_body.encode('utf-8')
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response_headers = [('Content-Type', 'text/plain; charset=utf-8'),
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('Content-Length', str(len(response_body)))]
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else:
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# User supplied an invalid URL
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response_body = 'Invalid URL "%s"' % environ['PATH_INFO']
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response_headers = [('Content-Type', 'text/plain'),
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('Content-Length', str(len(response_body)))]
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# HTTP response code and message
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status = '200 OK'
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# Send the status and response headers to the server
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start_response(status, response_headers)
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# Return the response body. (Notice it is wrapped in a list although it
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# could be any iterable.)
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return [response_body]
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