import random import datetime import StringIO from math import sqrt from os import listdir, environ from os.path import isfile, join, abspath, dirname import csv import json import gzip import urllib import logging from pprint import pprint from csv import writer as csv_writer from yaml import load as yaml_load from flask import Flask from flask import redirect, url_for, send_from_directory, abort as abort_flask from flask import request from jinja2 import Environment, FileSystemLoader from netCDF4 import Dataset # PATH RELATIVITY ############################################################# THIS_DIRECTORY = dirname(abspath(__file__)) def get_path(relative_path): """Get an absolute path from the relative path to this script directory.""" return abspath(join(THIS_DIRECTORY, relative_path)) # COLLECT GLOBAL INFORMATION FROM SOURCES ##################################### # VERSION with open(get_path('../VERSION'), 'r') as version_file: version = version_file.read().strip() # CONFIG with open(get_path('../config.yml'), 'r') as config_file: config = yaml_load(config_file.read()) FILE_DATE_FMT = "%Y-%m-%dT%H:%M:%S" # LOGGING ##################################################################### log = logging.getLogger("HelioPropa") log.setLevel(logging.INFO) logHandler = logging.FileHandler(get_path('run.log')) logHandler.setFormatter(logging.Formatter( "%(asctime)s - %(levelname)s - %(message)s" )) log.addHandler(logHandler) # SETUP FLASK ENGINE ########################################################## app = Flask(__name__, root_path=THIS_DIRECTORY) app.debug = environ.get('DEBUG') == 'true' if app.debug: log.info("Starting Flask app in debug mode...") else: log.info("Starting Flask app...") # SETUP JINJA2 TEMPLATE ENGINE ################################################ def static_global(filename): return url_for('static', filename=filename) def shuffle_filter(seq): """ This shuffles the sequence it is applied to. 'tis a failure of jinja2 to not provide a shuffle filter by default. """ try: result = list(seq) random.shuffle(result) return result except: return seq def markdown_filter(value, nl2br=False, p=True): """ nl2br: set to True to replace line breaks with
tags p: set to False to remove the enclosing

tags """ from markdown import markdown from markdown.extensions.nl2br import Nl2BrExtension from markdown.extensions.abbr import AbbrExtension extensions = [AbbrExtension()] if nl2br is True: extensions.append(Nl2BrExtension()) markdowned = markdown(value, output_format='html5', extensions=extensions) if p is False: markdowned = markdowned.replace(r"

", "").replace(r"

", "") return markdowned tpl_engine = Environment(loader=FileSystemLoader([get_path('view')]), trim_blocks=True, lstrip_blocks=True) tpl_engine.globals.update( url_for=url_for, static=static_global, ) tpl_engine.filters['markdown'] = markdown_filter tpl_engine.filters['md'] = markdown_filter tpl_engine.filters['shuffle'] = shuffle_filter tpl_global_vars = { 'request': request, 'version': version, 'config': config, 'now': datetime.datetime.now(), } # HELPERS ##################################################################### def abort(code, message): log.error(message) abort_flask(code, message) def render_view(view, context=None): """ A simple helper to render [view] template with [context] vars. It automatically adds the global template vars defined above, too. It returns a string, usually the HTML contents to display. """ context = {} if context is None else context return tpl_engine.get_template(view).render( dict(tpl_global_vars.items() + context.items()) ) # def render_page(page, title="My Page", context=None): # """ # A simple helper to render the md_page.html template with [context] vars & # the additional contents of `page/[page].md` in the `md_page` variable. # It automagically adds the global template vars defined above, too. # It returns a string, usually the HTML contents to display. # """ # if context is None: # context = {} # context['title'] = title # context['md_page'] = '' # with file(get_path('page/%s.md' % page)) as f: # context['md_page'] = f.read() # return tpl_engine.get_template('md_page.html').render( # dict(tpl_global_vars.items() + context.items()) # ) def datetime_from_list(time_list): """ Datetimes in retrieved CDFs are stored in lists of numbers, with DayOfYear starting at 0. We want it starting at 1 for default parsers. """ # Day Of Year starts at 0, but for our datetime parser it starts at 1 doy = '{:03d}'.format(int(''.join(time_list[4:7])) + 1) return datetime.datetime.strptime( "%s%s%s" % (''.join(time_list[0:4]), doy, ''.join(time_list[7:])), "%Y%j%H%M%S%f" ) def get_source_config(slug): for s in config['targets']: if s['slug'] == slug: return s raise Exception("No source found for slug '%s'." % slug) def retrieve_data(orbiter, what, started_at, stopped_at): """ Handles remote querying Myriam's API, downloading, extracting and caching the netCDF files. :param orbiter: key of the source in the YAML config :param what: either 'model' or 'orbit', a key in the config of the source :param started_at: :param stopped_at: :return: a list of local file paths to netCDF (.nc) files """ url = config['amda'].format( dataSet=what, startTime=started_at.isoformat(), stopTime=stopped_at.isoformat() ) retries = 0 success = False remote_gzip_files = [] while not success and retries < 3: try: response = urllib.urlopen(url) remote_gzip_files = json.loads(response.read()) if not remote_gzip_files: raise Exception("Failed to fetch data at '%s'." % url) if remote_gzip_files == 'NODATASET': raise Exception("No dataset at '%s'." % url) success = True except Exception as e: log.warn("Failed (%d/3) '%s' : %s" % (retries+1, url, e.message)) finally: retries += 1 if not remote_gzip_files: abort(400, "Failed to fetch data at '%s'." % url) if remote_gzip_files == 'NODATASET': abort(400, "No dataset at '%s'." % url) # retriever = urllib.URLopener() # would we need to do this every time ? local_gzip_files = [] for remote_gzip_file in remote_gzip_files: # hotfix removeme @Myriam if remote_gzip_file.endswith('/.gz'): continue remote_gzip_file = remote_gzip_file.replace('cdpp1', 'cdpp', 1) ######################### filename = "%s_%s" % (orbiter, str(remote_gzip_file).split('/')[-1]) local_gzip_file = get_path("../cache/%s" % filename) local_gzip_files.append(local_gzip_file) if not isfile(local_gzip_file): urllib.urlretrieve(remote_gzip_file, local_gzip_file) local_netc_files = [] for local_gzip_file in local_gzip_files: local_netc_file = local_gzip_file[0:-3] local_netc_files.append(local_netc_file) with gzip.open(local_gzip_file, 'rb') as f: file_content = f.read() with open(local_netc_file, 'w+b') as g: g.write(file_content) return local_netc_files def generate_csv_contents(source_config, started_at, stopped_at): # @todo iterate on models when there are many try: model_slug = source_config['models'][0]['slug'] except: abort(500, "Invalid model configuration for '%s'." % source_config['slug']) # Grab the list of netCDF files from Myriam's API # http://cdpp.irap.omp.eu/BASE/DDService/getDataUrl.php?dataSet=jupiter_orb_all&StartTime=2014-02-23T10:00:10&StopTime=2017-02-24T23:59:00 # http://cdpp.irap.omp.eu/BASE/DATA/TAO/JUPITER/SW/sw_2014.nc.gz model_files = retrieve_data(source_config['slug'], model_slug, started_at, stopped_at) orbits_files = retrieve_data(source_config['slug'], source_config['orbit']['model'], started_at, stopped_at) si = StringIO.StringIO() cw = csv_writer(si) cw.writerow(( # the order matters ! 'time', 'vrad', 'vtan', 'vlen', 'magn', 'temp', 'pdyn', 'dens', 'angl', 'xhci', 'yhci' )) precision = "%Y-%m-%dT%H" # model and orbits times are equal-ish orbits_data = {} # keys are datetime as str, values arrays of XY for orbits_file in orbits_files: cdf_handle = Dataset(orbits_file, "r", format="NETCDF4") times = cdf_handle.variables['Time'] # YYYY DOY HH MM SS .ms data_hci = cdf_handle.variables['HCI'] for time, datum_hci in zip(times, data_hci): dtime = datetime_from_list(time) if started_at <= dtime <= stopped_at: dkey = dtime.strftime(precision) orbits_data[dkey] = datum_hci all_data = {} # keys are datetime as str, values tuples of data for model_file in model_files: # Time, StartTime, StopTime, V, B, N, T, Delta_angle, P_dyn cdf_handle = Dataset(model_file, "r", format="NETCDF4") times = cdf_handle.variables['Time'] # YYYY DOY HH MM SS .ms data_v = cdf_handle.variables['V'] data_b = cdf_handle.variables['B'] data_t = cdf_handle.variables['T'] data_n = cdf_handle.variables['N'] data_p = cdf_handle.variables['P_dyn'] data_d = cdf_handle.variables['Delta_angle'] for time, datum_v, datum_b, datum_t, datum_p, datum_n, datum_d \ in zip(times, data_v, data_b, data_t, data_n, data_p, data_d): vrad = datum_v[0] vtan = datum_v[1] dtime = datetime_from_list(time) if started_at <= dtime <= stopped_at: dkey = dtime.strftime(precision) x_hci = None y_hci = None if dkey in orbits_data: x_hci = orbits_data[dkey][0] y_hci = orbits_data[dkey][1] all_data[dkey] = ( dtime.strftime("%Y-%m-%dT%H:%M:%S+00:00"), vrad, vtan, sqrt(vrad * vrad + vtan * vtan), datum_b, datum_t, datum_n, datum_p, datum_d, x_hci, y_hci ) cdf_handle.close() for dkey in sorted(all_data): cw.writerow(all_data[dkey]) return si.getvalue() def generate_csv_file_if_needed(target_config, started_at, stopped_at): filename = "%s_%s_%s.csv" % (target_config.slug, started_at.strftime(FILE_DATE_FMT), stopped_at.strftime(FILE_DATE_FMT)) local_csv_file = get_path("../cache/%s" % filename) if not isfile(local_csv_file): log.info("Generating CSV '%s'..." % local_csv_file) try: with open(local_csv_file, mode="w+") as f: f.write(generate_csv_contents(target_config, started_at=started_at, stopped_at=stopped_at)) log.info("Generation of '%s' done." % filename) except Exception as e: abort(500, "Failed creating CSV '%s' : %s" % (filename, e.message)) def increment_hit_counter(): hit_count_path = get_path("../VISITS") if isfile(hit_count_path): hit_count = int(open(hit_count_path).read()) hit_count += 1 else: hit_count = 1 hit_counter_file = open(hit_count_path, 'w') hit_counter_file.write(str(hit_count)) hit_counter_file.close() return hit_count # ROUTING ##################################################################### @app.route('/favicon.ico') def favicon(): return send_from_directory( join(app.root_path, 'static', 'img'), 'favicon.ico', mimetype='image/vnd.microsoft.icon' ) @app.route("/") @app.route("/home.html") @app.route("/index.html") def home(): return render_view('home.html.jinja2', { 'targets': config['targets'], 'planets': [s for s in config['targets'] if s['type'] == 'planet'], 'probes': [s for s in config['targets'] if s['type'] == 'probe'], 'comets': [s for s in config['targets'] if s['type'] == 'comet'], 'visits': increment_hit_counter(), }) @app.route("/__.csv") def get_target_csv(source, started_at, stopped_at): """ Grab data and orbit data for the specified `target`, rearrange it and return it as a CSV file. `started_at` and `stopped_at` should be UTC. """ source_config = get_source_config(source) try: started_at = datetime.datetime.strptime(started_at, FILE_DATE_FMT) except: abort(400, "Invalid started_at parameter : '%s'." % started_at) try: stopped_at = datetime.datetime.strptime(stopped_at, FILE_DATE_FMT) except: abort(400, "Invalid stopped_at parameter : '%s'." % stopped_at) filename = "%s_%s_%s.csv" % (source, started_at.strftime(FILE_DATE_FMT), stopped_at.strftime(FILE_DATE_FMT)) local_csv_file = get_path("../cache/%s" % filename) generate_csv_file_if_needed(source_config, started_at, stopped_at) if not isfile(local_csv_file): abort(500, "Could not cache CSV file at '%s'." % local_csv_file) return send_from_directory(get_path("../cache/"), filename) @app.route("/__.zip") def download_targets_zip(targets, started_at, stopped_at): """ Grab data and orbit data for the specified `target`, rearrange it and return it as a CSV file. `started_at` and `stopped_at` should be UTC. targets: string list of targets' slugs, separated by `:`. fixme """ targets_confs = [] for target in targets.split(':').sort(): if not target: abort(400, "Invalid targets format : `%s`." % targets) targets_confs.append(get_source_config(target)) if 0 == len(targets_confs): abort(400, "No valid targets specified. What are you doing?") date_fmt = "%Y-%m-%dT%H:%M:%S" try: started_at = datetime.datetime.strptime(started_at, date_fmt) except: abort(400, "Invalid started_at parameter : '%s'." % started_at) try: stopped_at = datetime.datetime.strptime(stopped_at, date_fmt) except: abort(400, "Invalid stopped_at parameter : '%s'." % stopped_at) filename = "%s_%s_%s.csv" % (source, started_at.strftime(date_fmt), stopped_at.strftime(date_fmt)) local_csv_file = get_path("../cache/%s" % filename) if not isfile(local_csv_file): with open(local_csv_file, mode="w+") as f: f.write(generate_csv_contents(source_config, started_at=started_at, stopped_at=stopped_at)) if not isfile(local_csv_file): abort(500, "Could not cache CSV file at '%s'." % local_csv_file) return send_from_directory(get_path("../cache/"), filename) # DEV TOOLS ################################################################### # @app.route("/inspect") # def analyze_cdf(): # """ # For debug purposes. # """ # cdf_to_inspect = get_path("../res/dummy.nc") # cdf_to_inspect = get_path("../res/dummy_jupiter_coordinates.nc") # # si = StringIO.StringIO() # cw = csv.DictWriter(si, fieldnames=['Name', 'Shape', 'Length']) # cw.writeheader() # # # Time, StartTime, StopTime, V, B, N, T, Delta_angle, P_dyn, QualityFlag # cdf_handle = Dataset(cdf_to_inspect, "r", format="NETCDF4") # for variable in cdf_handle.variables: # v = cdf_handle.variables[variable] # cw.writerow({ # 'Name': variable, # 'Shape': v.shape, # 'Length': v.size, # }) # cdf_handle.close() # # return si.getvalue() # MAIN ######################################################################## if __name__ == "__main__": # Debug mode on, as the production server does not use this. extra_files = [get_path('../config.yml')] app.run(debug=True, extra_files=extra_files)