pax_global_header00006660000000000000000000000064143265721320014517gustar00rootroot0000000000000052 comment=921632f1ace3439e71416bc1010c62f79d31ce78 PySQM-0.4.0/000077500000000000000000000000001432657213200124715ustar00rootroot00000000000000PySQM-0.4.0/.gitignore000066400000000000000000000034071432657213200144650ustar00rootroot00000000000000# Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] *$py.class # C extensions *.so # Distribution / packaging .Python build/ develop-eggs/ dist/ downloads/ eggs/ .eggs/ lib/ lib64/ parts/ sdist/ var/ wheels/ pip-wheel-metadata/ share/python-wheels/ *.egg-info/ .installed.cfg *.egg MANIFEST # PyInstaller # Usually these files are written by a python script from a template # before PyInstaller builds the exe, so as to inject date/other infos into it. *.manifest *.spec # Installer logs pip-log.txt pip-delete-this-directory.txt # Unit test / coverage reports htmlcov/ .tox/ .nox/ .coverage .coverage.* .cache nosetests.xml coverage.xml *.cover *.py,cover .hypothesis/ .pytest_cache/ # Translations *.mo *.pot # Django stuff: *.log local_settings.py db.sqlite3 db.sqlite3-journal # Flask stuff: instance/ .webassets-cache # Scrapy stuff: .scrapy # Sphinx documentation docs/_build/ # PyBuilder target/ # Jupyter Notebook .ipynb_checkpoints # IPython profile_default/ ipython_config.py # pyenv .python-version # pipenv # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. # However, in case of collaboration, if having platform-specific dependencies or dependencies # having no cross-platform support, pipenv may install dependencies that don't work, or not # install all needed dependencies. #Pipfile.lock # PEP 582; used by e.g. github.com/David-OConnor/pyflow __pypackages__/ # Celery stuff celerybeat-schedule celerybeat.pid # SageMath parsed files *.sage.py # Environments .env .venv env/ venv/ ENV/ env.bak/ venv.bak/ # Spyder project settings .spyderproject .spyproject # Rope project settings .ropeproject # mkdocs documentation /site # mypy .mypy_cache/ .dmypy.json dmypy.json # Pyre type checker .pyre/ PySQM-0.4.0/CHANGELOG.txt000077500000000000000000000034431432657213200145300ustar00rootroot00000000000000Version 0.4.0 general: port to python3 Version 0.3.1 general: Disable by default datacenter plot: Change default plot size Use tight_layout Improve detection of AM/PM dates Allow to plot only the 2nd plot (NSB vs datetime) plot.py now works also as a standalone tool (with user provided data file path). Version 0.3.0 general: Added datacenter support Version 0.2.2 general: Adopt v1.0 of the standard format (including the filename for the daily data and plots) read: put the rx,cx and ix data in the header plot: Change de Serial number label Version 0.2.1 read: Print the errors in make_plot call on screen. plot: Only print the PM/AM/Moon labels on one panel. Print the SQM serial number. Version 0.2.0 general: Deep changes to make the program more modular. The program now can be packaged as a single .exe file with PyInstaller. The program can also be packaged for Linux systems. read: Try to use the fixed device address before looking for it automatically this should allow the use of multiple devices in a single computer. plot: Code cleanup. Use local date/time in plots. Write statistics file. Use pyephem to calculate the moon phase (more accurate). Show the Moon max altitude (transit altitude or culmination). Plot the astronomical twilights. Object Oriented programming. email: Now the program can be distributed without email module. Version 0.1.X read: Variables moved to config file. Clean-up of the code. Improve device reset. New read software. OO programing. plot: Variables moved to config file. Renamed from plot_sqmle.py to pysqm_plot.py Make the code and linebreaks less ugly Fixed axis. Moon phase plot. email: Renamed from email_sqmle.py to pysqm_email.py Version 0.0.X First version. PySQM-0.4.0/LICENSE000066400000000000000000001045151432657213200135040ustar00rootroot00000000000000 GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2007 Free Software Foundation, Inc. Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. Preamble The GNU General Public License is a free, copyleft license for software and other kinds of works. 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Copyright (C) This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see . Also add information on how to contact you by electronic and paper mail. If the program does terminal interaction, make it output a short notice like this when it starts in an interactive mode: Copyright (C) This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details. The hypothetical commands `show w' and `show c' should show the appropriate parts of the General Public License. Of course, your program's commands might be different; for a GUI interface, you would use an "about box". You should also get your employer (if you work as a programmer) or school, if any, to sign a "copyright disclaimer" for the program, if necessary. For more information on this, and how to apply and follow the GNU GPL, see . The GNU General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Lesser General Public License instead of this License. But first, please read . PySQM-0.4.0/MANIFEST.in000066400000000000000000000000241432657213200142230ustar00rootroot00000000000000include LICENSE.txt PySQM-0.4.0/README.txt000066400000000000000000000071221432657213200141710ustar00rootroot00000000000000PySQM ===== PySQM is a multi-platform, open-source software designed to read and plot data from Unihedron SQM-LE and SQM-LU photometers, giving as an output files with the 'International Dark Sky Association (IDA) NSBM Community Standards for Reporting Skyglow Observations' format (http://www.darksky.org/night-sky-conservation/248). PySQM is distributed under GNU GPL, either version 3 of the License, or (at your option) any later version. See the file LICENSE.txt for details. This software has been developed by Mireia Nievas with the invaluable help of: - Sergio Pascual (UCM) - Jaime Zamorano (UCM) - Laura Barbas (OAN) - Pablo de Vicente (OAN) The initial port to Python3 has been done by Anthony Tekatch (Unihedron). SETUP ===== After downloading the software, you need to modify the file config.py. In this file you will find several variables that need to be configured to match your hardware settings. For example: - Location of the observatory (geographical coordinates). - Device identifier. - Device address (either IP address for SQM-LE or COM/ttyUSB port). - Location of the data files. - Axis limits for the plot. Remember that python (2.7) syntax is mandatory in this file HOW TO USE THE SOFTWARE ======================= After configuring the software, make sure you are in the parent directory were the README, LICENSE and MANIFEST files are located > ls LICENSE.txt MANIFEST.in README.txt pysqm config.py setup.py And then run the software. > python -m pysqm The program should find your SQM device and the data adquisition.will start (if it's night-time). In some systems, where python3 is the default version of python, you need to specify python2 as the interpreter to use. This is done usually running it as: > python2 -m pysqm or > python2.7 -m pysqm Note: running the setup.py script is neither tested nor required. The program is currently being redesigned as a normal python package, but at present no setup is required. HOW IT WORKS ============ In a first step, the program tries to connect to the SQM photometer and takes some 'tests' measures (metadata/information, calibration and data) to check that the device is working as expected. After that, the program begins data acdquisition. In each iteration, it checks whether it is night-time. In that case new data is taken. Each N measurements, the main program calls a plotting function to generate a graphical representation of the current nightly data. PySQM known issues ================== Non-ASCII characters are not supported in the config.py file. Please, avoid using 'ñ', accented vowels, etc. In headless systems, such as the Raspberry PI, if you run the program without X, you may suffer from the following fatal error when the program tries to generate the plot: This application failed to start because it could not find or load the Qt platform plugin “xcb”. Available platform plugins are: eglfs, kms, linuxfb, minimal, minimalegl, offscreen, xcb. Reinstalling the application may fix this problem. Aborted (core dumped) In order to avoid this problem, you need to create (or modify if the file exists) in your HOME directory the following file: .config/matplotlib/matplotlibrc You just need to set the matplotlib backend to Agg: backend : Agg Save the changes and exit. Now, PySQM should make the plots without issues. You may need to restart PySQM to apply the changes. Path to EXE files (windows only): https://www.dropbox.com/s/xlbr6ktk8spjsse/PySQM.exe?dl=0 CHANGELOG ========= v0.3: Added datacenter option (optional, disabled by default) v0.2: ... v0.1: ... PySQM-0.4.0/config.py000066400000000000000000000067511432657213200143210ustar00rootroot00000000000000#!/usr/bin/env python ''' PySQM configuration File. ____________________________ Copyright (c) Mireia Nievas This file is part of PySQM. PySQM is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. PySQM is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with PySQM. If not, see . ____________________________ Notes: You may need to change the following variables to match your observatory coordinates, instrumental properties, etc. Python syntax is mandatory. ____________________________ ''' ''' ------------- SITE location ------------- ''' _observatory_name = 'GURUGU' _observatory_latitude = 40.447862 _observatory_longitude = -3.364992 _observatory_altitude = 680 _observatory_horizon = 10 # If Sun is below this altitude, the program will take data _device_shorttype = 'SQM' # Device STR in the file _device_type = 'SQM_LU' # Device type in the Header _device_id = _device_type + '-' + _observatory_name # Long Device lame _device_locationname = 'Villalbilla/Spain - Observatorio GURUGU' # Device location in the world _data_supplier = 'Mireia Nievas / Universidad Complutense de Madrid' # Data supplier (contact) _device_addr = '/dev/ttyUSB1' # Default IP address of the ethernet device (if not automatically found) _measures_to_promediate = 1 # Take the mean of N measures _delay_between_measures = 2 # Delay between two measures. In seconds. _cache_measures = 1 # Get X measures before writing on screen/file _plot_each = 1 # Call the plot function each X measures. _use_mysql = False # Set to True if you want to store data on a MySQL db. _mysql_host = None # Host (ip:port / localhost) of the MySQL engine. _mysql_user = None # User with write permission on the db. _mysql_pass = None # Password for that user. _mysql_database = None # Name of the database. _mysql_dbtable = None # Name of the table _mysql_port = None # Port of the MySQL server. _local_timezone = +1 # UTC+1 _computer_timezone = +0 # UTC _offset_calibration = -0.11 # magnitude = read_magnitude + offset _reboot_on_connlost = False # Reboot if we loose connection # Monthly (permanent) data monthly_data_directory = "/tmp/sqm_gurugu/" # Daily (permanent) data daily_data_directory = monthly_data_directory+"/datos_diarios/" limits_nsb = [20.0,16.5] # Limits in Y-axis # Daily (permanent) graph daily_graph_directory = monthly_data_directory+"/graficos_diarios/" # Current data, deleted each day. current_data_directory = monthly_data_directory # Current graph, deleted each day. current_graph_directory = monthly_data_directory # Summary with statistics for the night summary_data_directory = monthly_data_directory ''' ---------------------------- PySQM data center (OPTIONAL) ---------------------------- ''' # Send the data to the data center _send_to_datacenter = False ''' Ploting options ''' full_plot = True limits_nsb = [20.0,16.5] # Limits in Y-axis limits_time = [17,9] # Hours limits_sunalt = [-80,5] # Degrees ''' Email options ''' _send_data_by_email = False PySQM-0.4.0/pysqm/000077500000000000000000000000001432657213200136425ustar00rootroot00000000000000PySQM-0.4.0/pysqm/__init__.py000066400000000000000000000024321432657213200157540ustar00rootroot00000000000000#!/usr/bin/env python ''' PySQM __init__ code ____________________________ Copyright (c) Mireia Nievas This file is part of PySQM. PySQM is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. PySQM is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with PySQM. If not, see . ''' __author__ = "Mireia Nievas" __copyright__ = "Copyright (c) 2014 Mireia Nievas" __credits__ = [\ "Mireia Nievas @ UCM",\ "Jaime Zamorano @ UCM",\ "Laura Barbas @ OAN",\ "Pablo de Vicente @ OAN"\ "Anthony Tekatch @ Unihedron "\ ] __license__ = "GNU GPL v3" __shortname__ = "PySQM" __longname__ = "Python Sky Quality Meter pipeline" __version__ = "0.4.0" __maintainer__ = "Thorsten Alteholz" __email__ = "python[at]alteholz[dot]de" __status__ = "Development" # "Prototype", "Development", or "Production" from types import ModuleType import sys PySQM-0.4.0/pysqm/__main__.py000066400000000000000000000022061432657213200157340ustar00rootroot00000000000000#!/usr/bin/env python ''' PySQM __main__ code ____________________________ Copyright (c) Mireia Nievas This file is part of PySQM. PySQM is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. PySQM is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with PySQM. If not, see . ____________________________ ''' #from types import ModuleType #import sys import pysqm.main as main while(1==1): # Loop forever to make sure the program does not die. try: main.loop() except Exception as e: print('') print('FATAL ERROR while running the main loop !!') print('Error was:') print(e) print('Trying to restart') print('') PySQM-0.4.0/pysqm/common.py000066400000000000000000000107241432657213200155100ustar00rootroot00000000000000#!/usr/bin/env python ''' PySQM common code ____________________________ Copyright (c) Mireia Nievas This file is part of PySQM. PySQM is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. PySQM is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with PySQM. If not, see . ____________________________ ''' import math import ephem import datetime # Read the config variables from config.py import pysqm.settings as settings config = settings.GlobalConfig.config def define_ephem_observatory(): ''' Define the Observatory in Pyephem ''' OBS = ephem.Observer() OBS.lat = config._observatory_latitude*ephem.pi/180 OBS.lon = config._observatory_longitude*ephem.pi/180 OBS.elev = config._observatory_altitude return(OBS) def remove_linebreaks(data): # Remove line breaks from data data = data.replace('\r\n','') data = data.replace('\r','') data = data.replace('\n','') return(data) def format_value(data,remove_str=' '): # Remove string and spaces from data data = remove_linebreaks(data) data = data.replace(remove_str,'') data = data.replace(' ','') return(data) def format_value_list(data,remove_str=' '): # Remove string and spaces from data array/list data = [format_value(line,remove_str).split(';') for line in data] return(data) def set_decimals(number,dec=3): str_number = str(number) int_,dec_ = str_number.split('.') while len(dec_)<=dec: dec_=dec_+'0' return(int_+'.'+dec_[:dec]) class observatory(object): def read_datetime(self): # Get UTC datetime from the computer. utc_dt = datetime.datetime.utcnow() #utc_dt = datetime.datetime.now() - datetime.timedelta(hours=config._computer_timezone) #time.localtime(); daylight_saving=_.tm_isdst>0 return(utc_dt) def local_datetime(self,utc_dt): # Get Local datetime from the computer, without daylight saving. return(utc_dt + datetime.timedelta(hours=config._local_timezone)) def calculate_sun_altitude(self,OBS,timeutc): # Calculate Sun altitude OBS.date = ephem.date(timeutc) Sun = ephem.Sun(OBS) return(Sun.alt) def next_sunset(self,OBS): # Next sunset calculation previous_horizon = OBS.horizon OBS.horizon = str(config._observatory_horizon) next_setting = OBS.next_setting(ephem.Sun()).datetime() next_setting = next_setting.strftime("%Y-%m-%d %H:%M:%S") OBS.horizon = previous_horizon return(next_setting) def is_nighttime(self,OBS): # Is nightime (sun below a given altitude) timeutc = self.read_datetime() if self.calculate_sun_altitude(OBS,timeutc)*180./math.pi>config._observatory_horizon: return False else: return True RAWHeaderContent = '''# Definition of the community standard for skyglow observations 1.0 # URL: http://www.darksky.org/NSBM/sdf1.0.pdf # Number of header lines: 35 # This data is released under the following license: ODbL 1.0 http://opendatacommons.org/licenses/odbl/summary/ # Device type: $DEVICE_TYPE # Instrument ID: $DEVICE_ID # Data supplier: $DATA_SUPPLIER # Location name: $LOCATION_NAME # Position: $OBSLAT, $OBSLON, $OBSALT # Local timezone: $TIMEZONE # Time Synchronization: NTP # Moving / Stationary position: STATIONARY # Moving / Fixed look direction: FIXED # Number of channels: 1 # Filters per channel: HOYA CM-500 # Measurement direction per channel: 0., 0. # Field of view: 20 # Number of fields per line: 6 # SQM serial number: $SERIAL_NUMBER # SQM firmware version: $FEATURE_NUMBER # SQM cover offset value: $OFFSET # SQM readout test ix: $IXREADOUT # SQM readout test rx: $RXREADOUT # SQM readout test cx: $CXREADOUT # Comment: # Comment: # Comment: # Comment: # Comment: Capture program: PySQM # blank line 30 # blank line 31 # blank line 32 # UTC Date & Time, Local Date & Time, Temperature, Counts, Frequency, MSAS # YYYY-MM-DDTHH:mm:ss.fff;YYYY-MM-DDTHH:mm:ss.fff;Celsius;number;Hz;mag/arcsec^2 # END OF HEADER ''' PySQM-0.4.0/pysqm/main.py000066400000000000000000000137721432657213200151520ustar00rootroot00000000000000#!/usr/bin/env python ''' PySQM main program ____________________________ Copyright (c) Mireia Nievas This file is part of PySQM. PySQM is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. PySQM is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with PySQM. If not, see . ____________________________ ''' import os,sys import time import datetime import argparse ''' Read input arguments (if any) ''' import pysqm.settings as settings InputArguments = settings.ArgParser() configfilename = InputArguments.config # Load config contents into GlobalConfig settings.GlobalConfig.read_config_file(configfilename) # Get the actual config config = settings.GlobalConfig.config ### Load now the rest of the modules from pysqm.read import * import pysqm.plot ''' This import section is only for software build purposes. Dont worry if some of these are missing in your setup. ''' def relaxed_import(themodule): try: exec('import '+str(themodule)) except: pass relaxed_import('socket') relaxed_import('serial') relaxed_import('_mysql') relaxed_import('pysqm.email') ''' Conditional imports ''' # If the old format (SQM_LE/SQM_LU) is used, replace _ with - config._device_type = config._device_type.replace('_','-') if config._device_type == 'SQM-LE': import socket elif config._device_type == 'SQM-LU': import serial if config._use_mysql == True: import _mysql # Create directories if needed for directory in [config.monthly_data_directory,config.daily_data_directory,config.current_data_directory]: if not os.path.exists(directory): os.makedirs(directory) ''' Select the device to be used based on user input and start the measures ''' if config._device_type=='SQM-LU': mydevice = SQMLU() elif config._device_type=='SQM-LE': mydevice = SQMLE() else: print(('ERROR. Unknown device type '+str(config._device_type))) exit(0) def loop(): ''' Ephem is used to calculate moon position (if above horizon) and to determine start-end times of the measures ''' observ = define_ephem_observatory() niter = 0 DaytimePrint=True print('Starting readings ...') while 1<2: ''' The programs works as a daemon ''' utcdt = mydevice.read_datetime() #print (str(mydevice.local_datetime(utcdt))), if mydevice.is_nighttime(observ): # If we are in a new night, create the new file. config._send_to_datacenter = False ### Not enabled by default try: assert(config._send_to_datacenter == True) assert(niter == 0) mydevice.save_data_datacenter("NEWFILE") except: pass StartDateTime = datetime.datetime.now() niter += 1 mydevice.define_filenames() ''' Get values from the photometer ''' try: timeutc_mean,timelocal_mean,temp_sensor,\ freq_sensor,ticks_uC,sky_brightness = \ mydevice.read_photometer(\ Nmeasures=config._measures_to_promediate,PauseMeasures=10) except: print('Connection lost') if config._reboot_on_connlost == True: sleep(600) os.system('reboot.bat') time.sleep(1) mydevice.reset_device() formatted_data = mydevice.format_content(\ timeutc_mean,timelocal_mean,temp_sensor,\ freq_sensor,ticks_uC,sky_brightness) try: assert(config._use_mysql == True) mydevice.save_data_mysql(formatted_data) except: pass try: assert(config._send_to_datacenter == True) mydevice.save_data_datacenter(formatted_data) except: pass mydevice.data_cache(formatted_data,number_measures=config._cache_measures,niter=niter) if niter%config._plot_each == 0: ''' Each X minutes, plot a new graph ''' try: pysqm.plot.make_plot(send_emails=False,write_stats=False) except: print('Warning: Error plotting data.') print((sys.exc_info())) if DaytimePrint==False: DaytimePrint=True MainDeltaSeconds = (datetime.datetime.now()-StartDateTime).total_seconds() time.sleep(max(1,config._delay_between_measures-MainDeltaSeconds)) else: ''' Daytime, print info ''' if DaytimePrint==True: utcdt = utcdt.strftime("%Y-%m-%d %H:%M:%S") print((utcdt), end=' ') print(('. Daytime. Waiting until '+str(mydevice.next_sunset(observ)))) DaytimePrint=False if niter>0: mydevice.flush_cache() if config._send_data_by_email==True: try: pysqm.plot.make_plot(send_emails=True,write_stats=True) except: print('Warning: Error plotting data / sending email.') print((sys.exc_info())) else: try: pysqm.plot.make_plot(send_emails=False,write_stats=True) except: print('Warning: Error plotting data.') print((sys.exc_info())) niter = 0 # Send data that is still in the datacenter buffer try: assert(config._send_to_datacenter == True) mydevice.save_data_datacenter("") except: pass time.sleep(300) PySQM-0.4.0/pysqm/plot.py000066400000000000000000001011371432657213200151750ustar00rootroot00000000000000#!/usr/bin/env python ''' PySQM plotting program ____________________________ Copyright (c) Mireia Nievas This file is part of PySQM. PySQM is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. PySQM is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with PySQM. If not, see . ____________________________ ''' import os,sys import ephem import numpy as np import matplotlib matplotlib.use('Agg') import matplotlib.ticker as ticker import matplotlib.pyplot as plt import matplotlib.dates as mdates from datetime import datetime,timedelta # Read configuration if __name__ != '__main__': import pysqm.settings as settings config = settings.GlobalConfig.config for directory in [\ config.monthly_data_directory,\ config.daily_graph_directory,\ config.current_graph_directory]: if not os.path.exists(directory): os.makedirs(directory) class Ephemerids(object): def __init__(self): from pysqm.common import define_ephem_observatory self.Observatory = define_ephem_observatory() def ephem_date_to_datetime(self,ephem_date): # Convert ephem dates to datetime date_,time_ = str(ephem_date).split(' ') date_ = date_.split('/') time_ = time_.split(':') return(datetime(\ int(date_[0]),int(date_[1]),int(date_[2]),\ int(time_[0]),int(time_[1]),int(time_[2]))) def end_of_the_day(self,thedate): newdate = thedate+timedelta(days=1) newdatetime = datetime(\ newdate.year,\ newdate.month,\ newdate.day,0,0,0) newdatetime = newdatetime-timedelta(hours=config._local_timezone) return(newdatetime) def calculate_moon_ephems(self,thedate): # Moon ephemerids self.Observatory.horizon = '0' self.Observatory.date = str(self.end_of_the_day(thedate)) # Moon phase Moon = ephem.Moon() Moon.compute(self.Observatory) self.moon_phase = Moon.phase self.moon_maxelev = Moon.transit_alt try: float(self.moon_maxelev) except: # The moon has no culmination time for 1 day # per month, so there is no max altitude. # As a workaround, we use the previous day culmination. # The error should be small. # Set the previous day date thedate2 = thedate - timedelta(days=1) self.Observatory.date = str(self.end_of_the_day(thedate2)) Moon2 = ephem.Moon() Moon2.compute(self.Observatory) self.moon_maxelev = Moon2.transit_alt # Recover the real date self.Observatory.date = str(self.end_of_the_day(thedate)) # Moon rise and set self.moon_prev_rise = \ self.ephem_date_to_datetime(self.Observatory.previous_rising(ephem.Moon())) self.moon_prev_set = \ self.ephem_date_to_datetime(self.Observatory.previous_setting(ephem.Moon())) self.moon_next_rise = \ self.ephem_date_to_datetime(self.Observatory.next_rising(ephem.Moon())) self.moon_next_set = \ self.ephem_date_to_datetime(self.Observatory.next_setting(ephem.Moon())) def calculate_twilight(self,thedate,twilight=-18): ''' Changing the horizon forces ephem to calculate different types of twilights: -6: civil, -12: nautical, -18: astronomical, ''' self.Observatory.horizon = str(twilight) self.Observatory.date = str(self.end_of_the_day(thedate)) self.twilight_prev_rise = self.ephem_date_to_datetime(\ self.Observatory.previous_rising(ephem.Sun(),use_center=True)) self.twilight_prev_set = self.ephem_date_to_datetime(\ self.Observatory.previous_setting(ephem.Sun(),use_center=True)) self.twilight_next_rise = self.ephem_date_to_datetime(\ self.Observatory.next_rising(ephem.Sun(),use_center=True)) self.twilight_next_set = self.ephem_date_to_datetime(\ self.Observatory.next_setting(ephem.Sun(),use_center=True)) class SQMData(object): # Split pre and after-midnight data class premidnight(object): pass class aftermidnight(object): pass class Statistics(object): pass def __init__(self,filename,Ephem): self.all_night_sb = [] self.all_night_dt = [] self.all_night_temp = [] for variable in [\ 'utcdates','localdates','sun_altitudes',\ 'temperatures','tick_counts','frequencies',\ 'night_sbs','label_dates','sun_altitude']: setattr(self.premidnight,variable,[]) setattr(self.aftermidnight,variable,[]) self.load_rawdata(filename) self.process_rawdata(Ephem) self.check_number_of_nights() def extract_metadata(self,raw_data_and_metadata): from pysqm.common import format_value metadata_lines = [\ line for line in raw_data_and_metadata \ if format_value(line)[0]=='#'] # Extract the serial number serial_number_line = [\ line for line in metadata_lines \ if 'SQM serial number:' in line][0] self.serial_number = format_value(serial_number_line.split(':')[-1]) def check_validdata(self,data_line): from pysqm.common import format_value try: assert(format_value(data_line)[0]!='#') assert(format_value(data_line)[0]!='') except: return(False) else: return(True) def load_rawdata(self,filename): ''' Open the file, read the data and close the file ''' sqm_file = open(filename, 'r') raw_data_and_metadata = sqm_file.readlines() self.metadata = self.extract_metadata(raw_data_and_metadata) self.raw_data = [\ line for line in raw_data_and_metadata \ if self.check_validdata(line)==True] sqm_file.close() def process_datetimes(self,str_datetime): ''' Get date and time in a str format Return as datetime object ''' str_date,str_time = str_datetime.split('T') year = int(str_date.split('-')[0]) month = int(str_date.split('-')[1]) day = int(str_date.split('-')[2]) # Time may be not complete. Workaround hour = int(str_time.split(':')[0]) try: minute = int(str_time.split(':')[1]) except: minute = 0 second = 0 else: try: second = int(str_time.split(':')[2]) except: second = 0 return(datetime(year,month,day,hour,minute,second)) def process_rawdata(self,Ephem): from pysqm.common import format_value_list ''' Get the important information from the raw_data and put it in a more useful format ''' self.raw_data = format_value_list(self.raw_data) for k,line in enumerate(self.raw_data): # DateTime extraction utcdatetime = self.process_datetimes(line[0]) localdatetime = self.process_datetimes(line[1]) # Check that datetimes are corrent calc_localdatetime = utcdatetime+timedelta(hours=config._local_timezone) if (calc_localdatetime != localdatetime): return 1 # Set the datetime for astronomical calculations. Ephem.Observatory.date = ephem.date(utcdatetime) # Date in str format: 20130115 label_date = str(localdatetime.date()).replace('-','') # Temperature temperature = float(line[2]) # Counts tick_counts = float(line[3]) # Frequency frequency = float(line[4]) # Night sky background night_sb = float(line[5]) try: config._plot_corrected_nsb except AttributeError: config._plot_corrected_data=False if (config._plot_corrected_data): night_sb += config._plot_corrected_data*config._offset_calibration # Define sun in pyephem Sun = ephem.Sun(Ephem.Observatory) self.premidnight.label_date=[] self.aftermidnight.label_dates=[] if localdatetime.hour > 12: self.premidnight.utcdates.append(utcdatetime) self.premidnight.localdates.append(localdatetime) self.premidnight.temperatures.append(temperature) self.premidnight.tick_counts.append(tick_counts) self.premidnight.frequencies.append(frequency) self.premidnight.night_sbs.append(night_sb) self.premidnight.sun_altitude.append(Sun.alt) if label_date not in self.premidnight.label_dates: self.premidnight.label_dates.append(label_date) else: self.aftermidnight.utcdates.append(utcdatetime) self.aftermidnight.localdates.append(localdatetime) self.aftermidnight.temperatures.append(temperature) self.aftermidnight.tick_counts.append(tick_counts) self.aftermidnight.frequencies.append(frequency) self.aftermidnight.night_sbs.append(night_sb) self.aftermidnight.sun_altitude.append(Sun.alt) if label_date not in self.aftermidnight.label_dates: self.aftermidnight.label_dates.append(label_date) # Data for the complete night self.all_night_dt.append(utcdatetime) # Must be in UTC! self.all_night_sb.append(night_sb) self.all_night_temp.append(temperature) def check_number_of_nights(self): ''' Check that the number of nights is exactly 1 and extract it to a new variable self.Night. Needed for the statistics part of the analysis and to make the plot. ''' if np.size(self.premidnight.localdates)>0: self.Night = np.unique([DT.date() \ for DT in self.premidnight.localdates])[0] elif np.size(self.aftermidnight.localdates)>0: self.Night = np.unique([(DT-timedelta(hours=12)).date() \ for DT in self.aftermidnight.localdates])[0] else: print('Warning, No Night detected.') self.Night = None def data_statistics(self,Ephem): ''' Make statistics on the data. Useful to summarize night conditions. ''' def select_bests(values,number): return(np.sort(values)[::-1][0:number]) def fourier_filter(array,nterms): ''' Make a fourier filter for the first nterms terms. ''' array_fft = np.fft.fft(array) # Filter data array_fft[nterms:]=0 filtered_array = np.fft.ifft(array_fft) return(filtered_array) def window_smooth(x,window_len=10,window='hanning'): # http://scipy-cookbook.readthedocs.io/items/SignalSmooth.html if x.ndim != 1: raise ValueError("smooth requires 1-d arrays") if x.size < window_len: raise ValueError("size(input) < window_size") if window_len < 3: return x if not window in ['flat','hanning','hamming','bartlett','blackman']: raise ValueError("Window is on of 'flat', 'hanning', 'hamming', 'bartlett', 'blackman'") s=np.r_[x[window_len-1:0:-1],x,x[-2:-window_len-1:-1]] if window == 'flat': #moving average w=np.ones(window_len,'d') else: w=eval('np.'+window+'(window_len)') y=np.convolve(w/w.sum(),s,mode='valid') return(y) astronomical_night_filter = (\ (np.array(self.all_night_dt)>Ephem.twilight_prev_set)*\ (np.array(self.all_night_dt)10: self.astronomical_night_sb = \ np.array(self.all_night_sb)[astronomical_night_filter] self.astronomical_night_temp = \ np.array(self.all_night_temp)[astronomical_night_filter] else: print((\ 'Warning, < 10 points in astronomical night, '+\ ' using the whole night data instead')) self.astronomical_night_sb = self.all_night_sb self.astronomical_night_temp = self.all_night_temp Stat = self.Statistics #with self.Statistics as Stat: # Complete list Stat.mean = np.mean(self.astronomical_night_sb) Stat.median = np.median(self.astronomical_night_sb) Stat.std = np.median(self.astronomical_night_sb) Stat.number = np.size(self.astronomical_night_sb) # Only the best 1/100th. Stat.bests_number = round(1+Stat.number/25) Stat.bests_mean = np.mean(select_bests(self.astronomical_night_sb,Stat.bests_number)) Stat.bests_median = np.median(select_bests(self.astronomical_night_sb,Stat.bests_number)) Stat.bests_std = np.std(select_bests(self.astronomical_night_sb,Stat.bests_number)) Stat.bests_err = Stat.bests_std*1./np.sqrt(Stat.bests_number) Stat.model_nterm = round(1+Stat.number/25) #data_smooth = fourier_filter(self.astronomical_night_sb,nterms=Stat.model_nterm) data_smooth = window_smooth(self.astronomical_night_sb, window_len=Stat.model_nterm) min_length = min(len(data_smooth),len(self.astronomical_night_sb)) data_residuals = self.astronomical_night_sb[:min_length]-data_smooth[:min_length] Stat.data_model_abs_meandiff = np.mean(np.abs(data_residuals)) Stat.data_model_sum_squareresiduals = np.sum(data_residuals**2) # Other interesting data Stat.min_temperature = np.min(self.astronomical_night_temp) Stat.max_temperature = np.max(self.astronomical_night_temp) class Plot(object): def __init__(self,Data,Ephem): plt.clf() # plt.hold(True/False) is deprecated Data = self.prepare_plot(Data,Ephem) try: config.full_plot except: config.full_plot = False if (config.full_plot): self.make_figure(thegraph_altsun=True,thegraph_time=True) self.plot_data_sunalt(Data,Ephem) else: self.make_figure(thegraph_altsun=False,thegraph_time=True) self.plot_data_time(Data,Ephem) self.plot_moonphase(Ephem) self.plot_twilight(Ephem) def plot_moonphase(self,Ephem): ''' shade the period of time for which the moon is above the horizon ''' if Ephem.moon_next_rise > Ephem.moon_next_set: # We need to divide the plotting in two phases #(pre-midnight and after-midnight) self.thegraph_time.axvspan(\ Ephem.moon_prev_rise+timedelta(hours=config._local_timezone),\ Ephem.moon_next_set+timedelta(hours=config._local_timezone),\ edgecolor='#d62728',facecolor='#d62728', alpha=0.1,clip_on=True) else: self.thegraph_time.axvspan(\ Ephem.moon_prev_rise+timedelta(hours=config._local_timezone),\ Ephem.moon_prev_set+timedelta(hours=config._local_timezone),\ edgecolor='#d62728',facecolor='#d62728', alpha=0.1,clip_on=True) self.thegraph_time.axvspan(\ Ephem.moon_next_rise+timedelta(hours=config._local_timezone),\ Ephem.moon_next_set+timedelta(hours=config._local_timezone),\ edgecolor='#d62728',facecolor='#d62728', alpha=0.1,clip_on=True) def plot_twilight(self,Ephem): ''' Plot vertical lines on the astronomical twilights ''' self.thegraph_time.axvline(\ Ephem.twilight_prev_set+timedelta(hours=config._local_timezone),\ color='black', ls='dashdot', lw=1, alpha=0.75, clip_on=True) self.thegraph_time.axvline(\ Ephem.twilight_next_rise+timedelta(hours=config._local_timezone),\ color='black', ls='dashdot', lw=1, alpha=0.75, clip_on=True) def make_subplot_sunalt(self,twinplot=0): ''' Make a subplot. If twinplot = 0, then this will be the only plot in the figure if twinplot = 1, this will be the first subplot if twinplot = 2, this will be the second subplot ''' if twinplot == 0: self.thegraph_sunalt = self.thefigure.add_subplot(1,1,1) else: self.thegraph_sunalt = self.thefigure.add_subplot(2,1,twinplot) self.thegraph_sunalt.set_title(\ 'Sky Brightness ('+config._device_shorttype+'-'+\ config._observatory_name+')\n',fontsize='x-large') self.thegraph_sunalt.set_xlabel('Solar altitude (deg)',fontsize='large') self.thegraph_sunalt.set_ylabel('Sky Brightness (mag/arcsec2)',fontsize='medium') # Auxiliary plot (Temperature) ''' self.thegraph_sunalt_temp = self.thegraph_sunalt.twinx() self.thegraph_sunalt_temp.set_ylim(-10, 50) self.thegraph_sunalt_temp.set_ylabel('Temperature (C)',fontsize='medium') ''' # format the ticks (frente a alt sol) tick_values = list(range(config.limits_sunalt[0],config.limits_sunalt[1]+5,5)) tick_marks = np.multiply([deg for deg in tick_values],np.pi/180.0) tick_labels = [str(deg) for deg in tick_values] self.thegraph_sunalt.set_xticks(tick_marks) self.thegraph_sunalt.set_xticklabels(tick_labels) self.thegraph_sunalt.yaxis.set_minor_locator(ticker.MultipleLocator(0.5)) self.thegraph_sunalt.grid(True,which='major', alpha=0.2,color='k',ls='',lw=0.5) self.thegraph_sunalt.grid(True,which='minor', alpha=0.2,color='k',ls='solid',lw=0.5) def make_subplot_time(self,twinplot=0): ''' Make a subplot. If twinplot = 0, then this will be the only plot in the figure if twinplot = 1, this will be the first subplot if twinplot = 2, this will be the second subplot ''' if twinplot == 0: self.thegraph_time = self.thefigure.add_subplot(1,1,1) else: self.thegraph_time = self.thefigure.add_subplot(2,1,twinplot) if config._local_timezone<0: UTC_offset_label = '-'+str(abs(config._local_timezone)) elif config._local_timezone>0: UTC_offset_label = '+'+str(abs(config._local_timezone)) else: UTC_offset_label = '' #self.thegraph_time.set_title('Sky Brightness (SQM-'+config._observatory_name+')',\ # fontsize='x-large') self.thegraph_time.set_xlabel('Time (UTC'+UTC_offset_label+')',fontsize='large') self.thegraph_time.set_ylabel('Sky Brightness (mag/arcsec2)',fontsize='medium') # Auxiliary plot (Temperature) ''' self.thegraph_time_temp = self.thegraph_time.twinx() self.thegraph_time_temp.set_ylim(-10, 50) self.thegraph_time_temp.set_ylabel('Temperature (C)',fontsize='medium') ''' # format the ticks (vs time) daylocator = mdates.HourLocator(byhour=[4,20]) hourlocator = mdates.HourLocator() dayFmt = mdates.DateFormatter('%d %b %Y') hourFmt = mdates.DateFormatter('%H') self.thegraph_time.xaxis.set_major_locator(daylocator) self.thegraph_time.xaxis.set_major_formatter(dayFmt) self.thegraph_time.xaxis.set_minor_locator(hourlocator) self.thegraph_time.xaxis.set_minor_formatter(hourFmt) self.thegraph_time.yaxis.set_minor_locator(ticker.MultipleLocator(0.5)) self.thegraph_time.xaxis.set_tick_params(which='major', pad=15) self.thegraph_time.format_xdata = mdates.DateFormatter('%Y-%m-%d_%H:%M:%S') self.thegraph_time.grid(True,which='major', alpha=0.2,color='k',ls='',lw=0.5) self.thegraph_time.grid(True,which='minor', alpha=0.2,color='k',ls='solid',lw=0.5) def make_figure(self,thegraph_altsun=True,thegraph_time=True): # Make the figure and the graph if thegraph_time==False: self.thefigure = plt.figure(figsize=(7,3.)) self.make_subplot_sunalt(twinplot=0) elif thegraph_altsun==False: self.thefigure = plt.figure(figsize=(7,3.)) self.make_subplot_time(twinplot=0) else: self.thefigure = plt.figure(figsize=(7,6.)) self.make_subplot_sunalt(twinplot=1) self.make_subplot_time(twinplot=2) # Adjust the space between plots plt.subplots_adjust(hspace=0.35) def prepare_plot(self,Data,Ephem): ''' Warning! Multiple night plot implementation is pending. Until the support is implemented, check that no more than 1 night is used ''' # Mean datetime dts = Data.all_night_dt mean_dt = dts[0]+np.sum(np.array(dts)-dts[0])/np.size(dts) sel_night = (mean_dt - timedelta(hours=12)).date() Data.premidnight.filter = np.array(\ [Date.date()==sel_night for Date in Data.premidnight.localdates]) Data.aftermidnight.filter = np.array(\ [(Date-timedelta(days=1)).date()==sel_night\ for Date in Data.aftermidnight.localdates]) return(Data) def plot_data_sunalt(self,Data,Ephem): ''' Plot NSB data vs Sun altitude ''' # Plot the data TheData = Data.premidnight if np.size(TheData.filter)>0: self.thegraph_sunalt.plot(\ np.array(TheData.sun_altitude)[TheData.filter],\ np.array(TheData.night_sbs)[TheData.filter],color='#2ca02c') ''' self.thegraph_sunalt.plot(\ np.array(TheData.sun_altitude)[TheData.filter],\ np.array(TheData.temperatures)[TheData.filter],color='#9467bd',alpha=0.5)) ''' TheData = Data.aftermidnight if np.size(TheData.filter)>0: self.thegraph_sunalt.plot(\ np.array(TheData.sun_altitude)[TheData.filter],\ np.array(TheData.night_sbs)[TheData.filter],color='#1f77b4') ''' self.thegraph_sunalt.plot(\ np.array(TheData.sun_altitude)[TheData.filter],\ np.array(TheData.temperatures)[TheData.filter],color='#9467bd',alpha=0.5)) ''' # Make limits on data range. self.thegraph_sunalt.set_xlim([\ config.limits_sunalt[0]*np.pi/180.,\ config.limits_sunalt[1]*np.pi/180.]) self.thegraph_sunalt.set_ylim(config.limits_nsb) premidnight_label = str(Data.premidnight.label_dates).replace('[','').replace(']','') aftermidnight_label = str(Data.aftermidnight.label_dates).replace('[','').replace(']','') self.thegraph_sunalt.text(0.00,1.015,\ config._device_shorttype+'-'+config._observatory_name+' '*5+'Serial #'+str(Data.serial_number),\ color='0.25',fontsize='small',fontname='monospace',\ transform = self.thegraph_sunalt.transAxes) self.thegraph_sunalt.text(0.75,0.92,'PM: '+premidnight_label,\ color='#2ca02c',fontsize='small',transform = self.thegraph_sunalt.transAxes) self.thegraph_sunalt.text(0.75,0.84,'AM: '+aftermidnight_label,\ color='#1f77b4',fontsize='small',transform = self.thegraph_sunalt.transAxes) ''' if np.size(Data.Night)==1: self.thegraph_sunalt.text(0.75,1.015,'Moon: %d%s (%d%s)' \ %(Ephem.moon_phase, "%", Ephem.moon_maxelev*180./np.pi,"$^\mathbf{o}$"),\ color='#d62728',fontsize='small',fontname='monospace',\ transform = self.thegraph_sunalt.transAxes) ''' def plot_data_time(self,Data,Ephem): ''' Plot NSB data vs Sun altitude ''' # Plot the data (NSB and temperature) TheData = Data.premidnight if np.size(TheData.filter)>0: self.thegraph_time.plot(\ np.array(TheData.localdates)[TheData.filter],\ np.array(TheData.night_sbs)[TheData.filter],color='#2ca02c') ''' self.thegraph_time_temp.plot(\ np.array(TheData.localdates)[TheData.filter],\ np.array(TheData.temperatures)[TheData.filter],color='#9467bd',alpha=0.5) ''' TheData = Data.aftermidnight if np.size(TheData.filter)>0: self.thegraph_time.plot(\ np.array(TheData.localdates)[TheData.filter],\ np.array(TheData.night_sbs)[TheData.filter],color='#1f77b4') ''' self.thegraph_time_temp.plot(\ np.array(TheData.localdates)[TheData.filter],\ np.array(TheData.temperatures)[TheData.filter],color='#9467bd',alpha=0.5) ''' # Vertical line to mark 0h self.thegraph_time.axvline(\ Data.Night+timedelta(days=1), color='black', alpha=0.75,lw=1,ls='solid',clip_on=True) # Set the xlimit for the time plot. if np.size(Data.premidnight.filter)>0: begin_plot_dt = Data.premidnight.localdates[-1] begin_plot_dt = datetime(\ begin_plot_dt.year,\ begin_plot_dt.month,\ begin_plot_dt.day,\ config.limits_time[0],0,0) end_plot_dt = begin_plot_dt+timedelta(\ hours=24+config.limits_time[1]-config.limits_time[0]) elif np.size(Data.aftermidnight.filter)>0: end_plot_dt = Data.aftermidnight.localdates[-1] end_plot_dt = datetime(\ end_plot_dt.year,\ end_plot_dt.month,\ end_plot_dt.day,\ config.limits_time[1],0,0) begin_plot_dt = end_plot_dt-timedelta(\ hours=24+config.limits_time[1]-config.limits_time[0]) else: print('Warning: Cannot calculate plot limits') return(None) self.thegraph_time.set_xlim(begin_plot_dt,end_plot_dt) self.thegraph_time.set_ylim(config.limits_nsb) premidnight_label = str(Data.premidnight.label_dates).replace('[','').replace(']','') aftermidnight_label = str(Data.aftermidnight.label_dates).replace('[','').replace(']','') self.thegraph_time.text(0.00,1.015,\ config._device_shorttype+'-'+config._observatory_name+' '*5+'Serial #'+str(Data.serial_number),\ color='0.25',fontsize='small',fontname='monospace',\ transform = self.thegraph_time.transAxes) if np.size(Data.Night)==1: self.thegraph_time.text(0.75,1.015,'Moon: %d%s (%d%s)' \ %(Ephem.moon_phase, "%", Ephem.moon_maxelev*180./np.pi,"$^\mathbf{o}$"),\ color='black',fontsize='small',fontname='monospace',\ transform = self.thegraph_time.transAxes) def save_figure(self,output_filename): self.thefigure.savefig(output_filename, bbox_inches='tight',dpi=150) def show_figure(self): plt.show(self.thefigure) def close_figure(self): plt.close('all') def save_stats_to_file(Night,NSBData,Ephem): from pysqm.common import set_decimals ''' Save statistics to file ''' Stat = NSBData.Statistics Header = \ '# Summary statistics for '+str(config._device_shorttype+'_'+config._observatory_name)+'\n'+\ '# Description of columns (CSV file):\n'+\ '# Col 1: Date\n'+\ '# Col 2: Total measures\n'+\ '# Col 3: Number of Best NSB measures\n'+\ '# Col 4: Median of best N NSBs (mag/arcsec2)\n'+\ '# Col 5: Err in the median of best N NSBs (mag/arcsec2)\n'+\ '# Col 6: Window size for the smoothing function\n'+\ '# Col 7: Mean of Abs diff of NSBs data - fourier model (mag/arcsec2)\n'+\ '# Col 8: Min Temp (C) between astronomical twilights\n'+\ '# Col 9: Max Temp (C) between astronomical twilights\n\n' #'# Col 6: Number of terms of the low-freq fourier model\n'+\ formatted_data = \ str(Night)+';'+\ str(Stat.number)+';'+\ str(Stat.bests_number)+';'+\ set_decimals(Stat.bests_median,4)+';'+\ set_decimals(Stat.bests_err,4)+';'+\ str(Stat.model_nterm)+';'+\ set_decimals(Stat.data_model_abs_meandiff,4)+';'+\ set_decimals(Stat.min_temperature,1)+';'+\ set_decimals(Stat.max_temperature,1)+\ '\n' statistics_filename = \ config.summary_data_directory+'/Statistics_'+\ str(config._device_shorttype+'_'+config._observatory_name)+'.dat' print('Writing statistics file') def safe_create_file(filename): if not os.path.exists(filename): open(filename, 'w').close() def read_file(filename): thefile = open(filename,'r') content = thefile.read() thefile.close() return(content) def write_file(filename,content): thefile = open(filename,'w') thefile.write(content) thefile.close() def append_file(filename,content): thefile = open(filename,'a') thefile.write(content) thefile.close() # Create file if not exists safe_create_file(statistics_filename) # Read the content stat_file_content = read_file(statistics_filename) # If the file doesnt have a proper header, add it to the beginning def valid_line(line): if '#' in line: return False elif line.replace(' ','')=='': return False else: return True if Header not in stat_file_content: stat_file_content = [line for line in stat_file_content.split('\n') \ if valid_line(line)] stat_file_content = '\n'.join(stat_file_content) stat_file_content = Header+stat_file_content write_file(statistics_filename,stat_file_content) # Remove any previous statistic for the given Night in the file if str(Night) in stat_file_content: stat_file_content = [line for line in stat_file_content.split('\n') \ if str(Night) not in line] stat_file_content = '\n'.join(stat_file_content) write_file(statistics_filename,stat_file_content) # Append to the end of the file append_file(statistics_filename,formatted_data) def make_plot(input_filename=None,send_emails=False,write_stats=False): ''' Main function (allows to execute the program from within python. - Extracts the NSB data from a given data file - Performs statistics - Save statistics to file - Create the plot ''' print('Plotting photometer data ...') if (input_filename is None): input_filename = config.current_data_directory+\ '/'+config._device_shorttype+'_'+config._observatory_name+'.dat' # Define the observatory in ephem Ephem = Ephemerids() # Get and process the data from input_filename NSBData = SQMData(input_filename,Ephem) # Moon and twilight ephemerids. Ephem.calculate_moon_ephems(thedate=NSBData.Night) Ephem.calculate_twilight(thedate=NSBData.Night) # Calculate data statistics NSBData.data_statistics(Ephem) # Write statiscs to file? if write_stats==True: save_stats_to_file(NSBData.Night,NSBData,Ephem) # Plot the data and save the resulting figure NSBPlot = Plot(NSBData,Ephem) output_filenames = [\ str("%s/%s_%s.png" %(config.current_data_directory,\ config._device_shorttype,config._observatory_name)),\ str("%s/%s_120000_%s-%s.png" \ %(config.daily_graph_directory, str(NSBData.Night).replace('-',''),\ config._device_shorttype, config._observatory_name))\ ] for output_filename in output_filenames: NSBPlot.save_figure(output_filename) # Close figure NSBPlot.close_figure() if send_emails == True: import pysqm.email night_label = str(datetime.date.today()-timedelta(days=1)) pysqm.email.send_emails(night_label=night_label,Stat=NSBData.Statistics) ''' The following code allows to execute plot.py as a standalone program. ''' if __name__ == '__main__': # Exec the main program import settings as settings InputArguments = settings.ArgParser(inputfile=True) configfilename = InputArguments.config try: settings.GlobalConfig.read_config_file(configfilename) config = settings.GlobalConfig.config make_plot(input_filename=InputArguments.input,\ send_emails=False,write_stats=True) except: raise print("Error: The arguments you provided are invalid") InputArguments.print_help() PySQM-0.4.0/pysqm/read.py000066400000000000000000000646431432657213200151440ustar00rootroot00000000000000 #!/usr/bin/env python ''' PySQM reading program ____________________________ Copyright (c) Mireia Nievas This file is part of PySQM. PySQM is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. PySQM is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with PySQM. If not, see . ____________________________ ''' import os,sys import inspect import time import datetime import numpy as np import struct import socket # Default, to ignore the length of the read string. _cal_len_ = None _meta_len_ = None _data_len_ = None from pysqm.common import * ''' This import section is only for software build purposes. Dont worry if some of these are missing in your setup. ''' def relaxed_import(themodule): try: exec('import '+str(themodule)) except: pass relaxed_import('serial') relaxed_import('_mysql') relaxed_import('pysqm.email') ''' Read configuration ''' import pysqm.settings as settings config = settings.GlobalConfig.config try: DEBUG=config.DEBUG except: DEBUG=False ''' Conditional imports ''' # If the old format (SQM_LE/SQM_LU) is used, replace _ with - config._device_type = config._device_type.replace('_','-') if config._device_type == 'SQM-LE': import socket elif config._device_type == 'SQM-LU': import serial if config._use_mysql == True: import _mysql def filtered_mean(array,sigma=3): # Our data probably contains outliers, filter them # Notes: # Median is more robust than mean # Std increases if the outliers are far away from real values. # We need to limit the amount of discrepancy we want in the data (20%?). # We will use data masking and some operations with arrays. Convert to numpy. array = np.array(array) # Get the median and std. data_median = np.median(array) data_std = np.std(array) # Max discrepancy we allow. fixed_max_dev = 0.2*data_median clip_deviation = np.min([fixed_max_dev,data_std*sigma+0.1]) # Create the filter (10% flux + variable factor) filter_values_ok = np.abs(array-data_median)<=clip_deviation filtered_values = array[filter_values_ok] # Return the mean of filtered data or the median. if np.size(filtered_values)==0: print('Warning: High dispersion found on last measures') filtered_mean = data_median else: filtered_mean = np.mean(filtered_values) return(filtered_mean) class device(observatory): def standard_file_header(self): # Data Header, at the end of this script. header_content=RAWHeaderContent # Update data file header with observatory data header_content = header_content.replace(\ '$DEVICE_TYPE',str(config._device_type)) header_content = header_content.replace(\ '$DEVICE_ID',str(config._device_id)) header_content = header_content.replace(\ '$DATA_SUPPLIER',str(config._data_supplier)) header_content = header_content.replace(\ '$LOCATION_NAME',str(config._device_locationname)) header_content = header_content.replace(\ '$OBSLAT',str(config._observatory_latitude)) header_content = header_content.replace(\ '$OBSLON',str(config._observatory_longitude)) header_content = header_content.replace(\ '$OBSALT',str(config._observatory_altitude)) header_content = header_content.replace(\ '$OFFSET',str(config._offset_calibration)) if config._local_timezone==0: header_content = header_content.replace(\ '$TIMEZONE','UTC') elif config._local_timezone>0: header_content = header_content.replace(\ '$TIMEZONE','UTC+'+str(config._local_timezone)) elif config._local_timezone<0: header_content = header_content.replace(\ '$TIMEZONE','UTC'+str(config._local_timezone)) header_content = header_content.replace(\ '$PROTOCOL_NUMBER',str(self.protocol_number)) header_content = header_content.replace(\ '$MODEL_NUMBER', str(self.model_number)) header_content = header_content.replace(\ '$FEATURE_NUMBER', str(self.feature_number)) header_content = header_content.replace(\ '$SERIAL_NUMBER', str(self.serial_number)) header_content = header_content.replace(\ '$IXREADOUT', remove_linebreaks(self.ix_readout)) header_content = header_content.replace(\ '$RXREADOUT', remove_linebreaks(self.rx_readout)) header_content = header_content.replace(\ '$CXREADOUT', remove_linebreaks(self.cx_readout)) return(header_content) def format_content(self,timeutc_mean,timelocal_mean,temp_sensor,\ freq_sensor,ticks_uC,sky_brightness): # Format a string with data date_time_utc_str = str(\ timeutc_mean.strftime("%Y-%m-%dT%H:%M:%S"))+'.000' date_time_local_str = str(\ timelocal_mean.strftime("%Y-%m-%dT%H:%M:%S"))+'.000' temp_sensor_str = str('%.2f' %temp_sensor) ticks_uC_str = str('%.3f' %ticks_uC) freq_sensor_str = str('%.3f' %freq_sensor) sky_brightness_str = str('%.3f' %sky_brightness) formatted_data = \ date_time_utc_str+";"+date_time_local_str+";"+temp_sensor_str+";"+\ ticks_uC_str+";"+freq_sensor_str+";"+sky_brightness_str+"\n" return(formatted_data) def define_filenames(self): # Filenames should follow a standard based on observatory name and date. date_time_file = self.local_datetime(\ self.read_datetime())-datetime.timedelta(hours=12) date_file = date_time_file.date() yearmonth = str(date_file)[0:7] yearmonthday = str(date_file)[0:10] self.monthly_datafile = \ config.monthly_data_directory+"/"+config._device_shorttype+\ "_"+config._observatory_name+"_"+yearmonth+".dat" #self.daily_datafile = \ # config.daily_data_directory+"/"+config._device_shorttype+\ # "_"+config._observatory_name+"_"+yearmonthday+".dat" self.daily_datafile = \ config.daily_data_directory+"/"+\ yearmonthday.replace('-','')+'_120000_'+\ config._device_shorttype+'-'+config._observatory_name+'.dat' self.current_datafile = \ config.current_data_directory+"/"+config._device_shorttype+\ "_"+config._observatory_name+".dat" def save_data(self,formatted_data): ''' Save data to file and duplicate to current data file (the one that will be ploted) ''' for each_file in [self.monthly_datafile,self.daily_datafile]: if not os.path.exists(each_file): datafile = open(each_file,'w') datafile.write(self.standard_file_header()) datafile.close() datafile = open(each_file,'a+') datafile.write(formatted_data) datafile.close() self.copy_file(self.daily_datafile,self.current_datafile) def save_data_datacenter(self,formatted_data): ''' This function sends the data from this pysqm client to the central node @ UCM. It saves the data there (only the SQM data file contents) ''' # Connection details (hardcoded to avoid user changes) DC_HOST = "muon.gae.ucm.es" DC_PORT = 8739 DEV_ID = str(config._device_id)+"_"+str(self.serial_number) def send_data(data): try: client = socket.socket(socket.AF_INET, socket.SOCK_STREAM) client.connect((DC_HOST, DC_PORT)) client.sendall(data) client.shutdown(socket.SHUT_RDWR) client.close() except: return(0) else: return(1) def write_buffer(): for data_line in self.DataBuffer[:]: success = send_data(DEV_ID+";;D;;"+data_line) if (success==1): self.DataBuffer.remove(data_line) return(success) ''' Send the new file initialization to the datacenter Appends the header to the buffer (it will be sent later) ''' if (formatted_data=="NEWFILE"): self.DataBuffer=[\ hl+"\n" for hl in self.standard_file_header().split("\n")[:-1]] # Try to connect with the datacenter and send the header success = send_data(DEV_ID+";;C;;") success = write_buffer() return(success) else: ''' Send the data to the datacenter ''' # If the buffer is full, dont append more data. if (len(self.DataBuffer)<10000): self.DataBuffer.append(formatted_data) # Try to connect with the datacenter and send the data success = write_buffer() return(success) def save_data_mysql(self,formatted_data): ''' Use the Python MySQL API to save the data to a database ''' mydb = None values = formatted_data.split(';') try: ''' Start database connection ''' mydb = _mysql.connect(\ host = config._mysql_host, user = config._mysql_user, passwd = config._mysql_pass, db = config._mysql_database, port = config._mysql_port) ''' Insert the data ''' mydb.query(\ "INSERT INTO "+str(config._mysql_dbtable)+" VALUES (NULL,'"+\ values[0]+"','"+values[1]+"',"+\ values[2]+","+values[3]+","+\ values[4]+","+values[5]+")") except Exception as ex: print((str(inspect.stack()[0][2:4][::-1])+\ ' DB Error. Exception: %s' % str(ex))) if mydb != None: mydb.close() def data_cache(self,formatted_data,number_measures=1,niter=0): ''' Append data to DataCache str. If len(data)>number_measures, write to file and flush the cache ''' try: self.DataCache except: self.DataCache="" self.DataCache = self.DataCache+formatted_data if len(self.DataCache.split("\n"))>=number_measures+1: self.save_data(self.DataCache) self.DataCache = "" print((str(niter)+'\t'+formatted_data[:-1])) def flush_cache(self): ''' Flush the data cache ''' self.save_data(self.DataCache) self.DataCache = "" def copy_file(self,source,destination): # Copy file content from source to dest. fichero_source = open(source,'r') contenido_source = fichero_source.read() fichero_source.close() # Create file and truncate it fichero_destination = open(destination,'w') fichero_destination.close() # Write content fichero_destination = open(destination,'r+') fichero_destination.write(contenido_source) fichero_destination.close() def remove_currentfile(self): # Remove a file from the host if os.path.exists(self.current_datafile): os.remove(self.current_datafile) class SQM(device): def read_photometer(self,Nmeasures=1,PauseMeasures=2): # Initialize values temp_sensor = [] flux_sensor = [] freq_sensor = [] ticks_uC = [] Nremaining = Nmeasures # Promediate N measures to remove jitter timeutc_initial = self.read_datetime() while(Nremaining>0): InitialDateTime = datetime.datetime.now() # Get the raw data from the photometer and process it. raw_data = self.read_data(tries=10) temp_sensor_i,freq_sensor_i,ticks_uC_i,sky_brightness_i = \ self.data_process(raw_data) temp_sensor += [temp_sensor_i] freq_sensor += [freq_sensor_i] ticks_uC += [ticks_uC_i] flux_sensor += [10**(-0.4*sky_brightness_i)] Nremaining -= 1 DeltaSeconds = (datetime.datetime.now()-InitialDateTime).total_seconds() # Just to show on screen that the program is alive and running sys.stdout.write('.') sys.stdout.flush() if (Nremaining>0): time.sleep(max(1,PauseMeasures-DeltaSeconds)) timeutc_final = self.read_datetime() timeutc_delta = timeutc_final - timeutc_initial timeutc_mean = timeutc_initial+\ datetime.timedelta(seconds=int(timeutc_delta.seconds/2.+0.5)) timelocal_mean = self.local_datetime(timeutc_mean) # Calculate the mean of the data. temp_sensor = filtered_mean(temp_sensor) freq_sensor = filtered_mean(freq_sensor) flux_sensor = filtered_mean(flux_sensor) ticks_uC = filtered_mean(ticks_uC) sky_brightness = -2.5*np.log10(flux_sensor) # Correct from offset (if cover is installed on the photometer) #sky_brightness = sky_brightness+config._offset_calibration return(\ timeutc_mean,timelocal_mean,\ temp_sensor,freq_sensor,\ ticks_uC,sky_brightness) def metadata_process(self,msg,sep=','): # Separate the output array in items msg = format_value(msg) msg_array = msg.split(sep) # Get Photometer identification codes self.protocol_number = int(format_value(msg_array[1])) self.model_number = int(format_value(msg_array[2])) self.feature_number = int(format_value(msg_array[3])) self.serial_number = int(format_value(msg_array[4])) def data_process(self,msg,sep=','): # Separate the output array in items msg = format_value(msg) msg_array = msg.split(sep) # Output definition characters mag_char = 'm' freq_char = 'Hz' perc_char = 'c' pers_char = 's' temp_char = 'C' # Get the measures sky_brightness = float(format_value(msg_array[1],mag_char)) freq_sensor = float(format_value(msg_array[2],freq_char)) ticks_uC = float(format_value(msg_array[3],perc_char)) period_sensor = float(format_value(msg_array[4],pers_char)) temp_sensor = float(format_value(msg_array[5],temp_char)) # For low frequencies, use the period instead if freq_sensor<30 and period_sensor>0: freq_sensor = 1./period_sensor return(temp_sensor,freq_sensor,ticks_uC,sky_brightness) def start_connection(self): ''' Start photometer connection ''' pass def close_connection(self): ''' End photometer connection ''' pass def reset_device(self): ''' Restart connection''' self.close_connection() time.sleep(0.1) #self.__init__() self.start_connection() class SQMLE(SQM): def __init__(self): ''' Search the photometer in the network and read its metadata ''' try: print(('Trying fixed device address %s ... ' %str(config._device_addr))) self.addr = config._device_addr self.port = 10001 self.start_connection() except: print('Trying auto device address ...') self.addr = self.search() print(('Found address %s ... ' %str(self.addr))) self.port = 10001 self.start_connection() # Clearing buffer print(('Clearing buffer ... |'), end=' ') buffer_data = self.read_buffer() print((buffer_data), end=' ') print('| ... DONE') print('Reading test data (ix,cx,rx)...') time.sleep(1) self.ix_readout = self.read_metadata(tries=10) time.sleep(1) self.cx_readout = self.read_calibration(tries=10) time.sleep(1) self.rx_readout = self.read_data(tries=10) def search(self): ''' Search SQM LE in the LAN. Return its adress ''' self.s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) self.s.setblocking(False) if hasattr(socket,'SO_BROADCAST'): self.s.setsockopt(socket.SOL_SOCKET, socket.SO_BROADCAST, 1) self.s.sendto("000000f6".decode("hex"), ("255.255.255.255", 30718)) buf='' starttime = time.time() print("Looking for replies; press Ctrl-C to stop.") addr=[None,None] while True: try: (buf, addr) = self.s.recvfrom(30) if buf[3].encode("hex")=="f7": print("Received from %s: MAC: %s" % \ (addr, buf[24:30].encode("hex"))) except: #Timeout in seconds. Allow all devices time to respond if time.time()-starttime > 3: break pass try: assert(addr[0]!=None) except: print('ERR. Device not found!') raise else: return(addr[0]) def start_connection(self): ''' Start photometer connection ''' self.s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) self.s.settimeout(20) self.s.connect((self.addr,int(self.port))) #self.s.settimeout(1) def close_connection(self): ''' End photometer connection ''' self.s.setsockopt(\ socket.SOL_SOCKET,\ socket.SO_LINGER,\ struct.pack('ii', 1, 0)) # Check until there is no answer from device request = "" r = True while r: r = self.read_buffer() request += str(r) self.s.close() def read_buffer(self): ''' Read the data ''' msg = None try: msg = self.s.recv(256) except: pass return(msg) def reset_device(self): ''' Connection reset ''' #print('Trying to reset connection') self.close_connection() self.start_connection() def read_metadata(self,tries=1): ''' Read the serial number, firmware version ''' self.s.send('ix'.encode()) time.sleep(1) read_err = False msg = self.read_buffer().decode() # Check metadata try: # Sanity check assert(len(msg)==_meta_len_ or _meta_len_==None) assert("i," in msg) self.metadata_process(msg) except: tries-=1 read_err=True if (read_err==True and tries>0): time.sleep(1) self.reset_device() time.sleep(1) msg = self.read_metadata(tries) if (msg!=-1): read_err=False # Check that msg contains data if read_err==True: print(('ERR. Reading the photometer!: %s' %str(msg))) if (DEBUG): raise return(-1) else: print(('Sensor info: '+str(msg)), end=' ') return(msg) def read_calibration(self,tries=1): ''' Read the calibration parameters ''' self.s.send('cx'.encode()) time.sleep(1) read_err = False msg = self.read_buffer().decode() # Check caldata try: # Sanity check assert(len(msg)==_cal_len_ or _cal_len_==None) assert("c," in msg) except: tries-=1 read_err=True if (read_err==True and tries>0): time.sleep(1) self.reset_device() time.sleep(1) msg = self.read_calibration(tries) if (msg!=-1): read_err=False # Check that msg contains data if read_err==True: print(('ERR. Reading the photometer!: %s' %str(msg))) if (DEBUG): raise return(-1) else: print(('Calibration info: '+str(msg)), end=' ') return(msg) def read_data(self,tries=1): ''' Read the SQM and format the Temperature, Frequency and NSB measures ''' self.s.send('rx'.encode()) time.sleep(1) read_err = False msg = self.read_buffer().decode() # Check data try: # Sanity check assert(len(msg)==_data_len_ or _data_len_==None) assert("r," in msg) self.data_process(msg) except: tries-=1 read_err=True if (read_err==True and tries>0): time.sleep(1) self.reset_device() time.sleep(1) msg = self.read_data(tries) if (msg!=-1): read_err=False # Check that msg contains data if read_err==True: print(('ERR. Reading the photometer!: %s' %str(msg))) if (DEBUG): raise return(-1) else: if (DEBUG): print(('Data msg: '+str(msg))) return(msg) class SQMLU(SQM): def __init__(self): ''' Search the photometer and read its metadata ''' try: print(('Trying fixed device address %s ... ' %str(config._device_addr))) self.addr = config._device_addr self.bauds = 115200 self.start_connection() except: print('Trying auto device address ...') self.addr = self.search() print(('Found address %s ... ' %str(self.addr))) self.bauds = 115200 self.start_connection() # Clearing buffer print(('Clearing buffer ... |'), end=' ') buffer_data = self.read_buffer() print((buffer_data), end=' ') print('| ... DONE') print('Reading test data (ix,cx,rx)...') time.sleep(1) self.ix_readout = self.read_metadata(tries=10) time.sleep(1) self.cx_readout = self.read_calibration(tries=10) time.sleep(1) self.rx_readout = self.read_data(tries=10) def search(self): ''' Photometer search. Name of the port depends on the platform. ''' ports_unix = ['/dev/ttyUSB'+str(num) for num in range(100)] ports_win = ['COM'+str(num) for num in range(100)] os_in_use = sys.platform if os_in_use == 'linux2': print('Detected Linux platform') ports = ports_unix elif os_in_use == 'win32': print('Detected Windows platform') ports = ports_win used_port = None for port in ports: conn_test = serial.Serial(port, 115200, timeout=1) conn_test.write('ix'.encode) if conn_test.readline()[0] == 'i': used_port = port break try: assert(used_port!=None) except: print('ERR. Device not found!') raise else: return(used_port) def start_connection(self): '''Start photometer connection ''' self.s = serial.Serial(self.addr, 115200, timeout=2) def close_connection(self): ''' End photometer connection ''' # Check until there is no answer from device request = "" r = True while r: r = self.read_buffer() request += str(r) self.s.close() def reset_device(self): ''' Connection reset ''' #print('Trying to reset connection') self.close_connection() self.start_connection() def read_buffer(self): ''' Read the data ''' msg = None try: msg = self.s.readline() except: pass return(msg) def read_metadata(self,tries=1): ''' Read the serial number, firmware version ''' self.s.write("ix".encode()) time.sleep(1) read_err = False msg = self.read_buffer().decode() # Check metadata try: # Sanity check assert(len(msg)==_meta_len_ or _meta_len_==None) assert("i," in msg) self.metadata_process(msg) except: tries-=1 read_err=True if (read_err==True and tries>0): time.sleep(1) self.reset_device() time.sleep(1) msg = self.read_metadata(tries) if (msg!=-1): read_err=False # Check that msg contains data if read_err==True: print(('ERR. Reading the photometer!: %s' %str(msg))) if (DEBUG): raise return(-1) else: print(('Sensor info: '+str(msg)), end=' ') return(msg) def read_calibration(self,tries=1): ''' Read the calibration data ''' self.s.write('cx'.encode()) time.sleep(1) read_err = False msg = self.read_buffer().decode() # Check caldata try: # Sanity check assert(len(msg)==_cal_len_ or _cal_len_==None) assert("c," in msg) except: tries-=1 read_err=True if (read_err==True and tries>0): time.sleep(1) self.reset_device() time.sleep(1) msg = self.read_calibration(tries) if (msg!=-1): read_err=False # Check that msg contains data if read_err==True: print(('ERR. Reading the photometer!: %s' %str(msg))) if (DEBUG): raise return(-1) else: print(('Calibration info: '+str(msg)), end=' ') return(msg) def read_data(self,tries=1): ''' Read the SQM and format the Temperature, Frequency and NSB measures ''' self.s.write('rx'.encode()) time.sleep(1) read_err = False msg = self.read_buffer().decode() # Check data try: # Sanity check assert(len(msg)==_data_len_ or _data_len_==None) assert("r," in msg) self.data_process(msg) except: tries-=1 read_err=True if (read_err==True and tries>0): time.sleep(1) self.reset_device() time.sleep(1) msg = self.read_data(tries) if (msg!=-1): read_err=False # Check that msg contains data if read_err==True: print(('ERR. Reading the photometer!: %s' %str(msg))) if (DEBUG): raise return(-1) else: if (DEBUG): print(('Data msg: '+str(msg))) return(msg) PySQM-0.4.0/pysqm/settings.py000066400000000000000000000045441432657213200160630ustar00rootroot00000000000000#!/usr/bin/env python ''' PySQM plotting program ____________________________ Copyright (c) Mireia Nievas This file is part of PySQM. PySQM is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. PySQM is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with PySQM. If not, see . ____________________________ ''' import os,sys class ArgParser: def __init__(self,inputfile=False): self.parse_arguments(inputfile) def parse_arguments(self,inputfile): import argparse # Return config filename self.parser = argparse.ArgumentParser() self.parser.add_argument('-c', '--config', default="config.py") if (inputfile): self.parser.add_argument('-i', '--input', default=None) args = self.parser.parse_args() vars(self).update(args.__dict__) def print_help(self): self.parser.print_help() class ConfigFile: def __init__(self, path="config.py"): # Guess the selected dir and config filename # Should accept: # - absolute path (inc. filename) # - relative path (inc. filename) # - absolute path (exc. filename) # - relative path (exc. filename) # - shortcouts like ~ . etc self.path = path self.config = None def read_config_file(self,path): # Get the absolute path abspath = os.path.abspath(path) # Is a dir? Then add config.py (default filename) if os.path.isdir(abspath): abspath += "/config.py" # split directory and filename directory = os.path.dirname(abspath) filename = os.path.basename(abspath) old_syspath = sys.path sys.path.append(directory) import config self.config = config # Create an object (by default empty) accessible from everywhere # After read_config_file is called, GlobalConfig.config will be accessible GlobalConfig = ConfigFile() PySQM-0.4.0/setup.py000066400000000000000000000021201432657213200141760ustar00rootroot00000000000000#!/usr/bin/env python from distutils.core import setup setup(name='pysqm', version='3.1', maintainer='Thorsten Alteholz', maintainer_email='python@alteholz.de', url='https://github.com/alteholz/PySQM', license='GPLv3', description='SQM reading and plotting software', packages=['pysqm'], install_requires=['pyephem','numpy','matplotlib'], classifiers=[ "Programming Language :: C", "Programming Language :: Cython", "Programming Language :: Python :: 3", "Programming Language :: Python :: Implementation :: CPython", 'Development Status :: 3 - Alpha', "Environment :: Other Environment", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU General Public License (GPL)", "Operating System :: OS Independent", "Topic :: Scientific/Engineering :: Astronomy", ], long_description=open('README.txt').read() )