change tab to space, fix PEP8 auto, prepare for black

We move to a 4 space format, Automatically fix Pep8 mistakes that can be auto fixed, and change the Flake8 setup.cfg to match what will happen under black. Currently line limit is set at 120 but that can be discussed.

flows/__init__.py

@@ -8,4 +8,5 @@
 from .config import load_config
 
 from .version import get_version
+
 __version__ = get_version(pep440=False)

flows/aadc_db.py

@@ -15,53 +15,54 @@
 import getpass
 from .config import load_config
 
-#--------------------------------------------------------------------------------------------------
-class AADC_DB(object): # pragma: no cover
-	"""
-	Connection to the central TASOC database.
-
-	Attributes:
-		conn (`psycopg2.Connection` object): Connection to PostgreSQL database.
-		cursor (`psycopg2.Cursor` object): Cursor to use in database.
-	"""
-
-	def __init__(self, username=None, password=None):
-		"""
-		Open connection to central TASOC database.
-
-		If ``username`` or ``password`` is not provided or ``None``,
-		the user will be prompted for them.
-
-		Parameters:
-			username (string or None, optional): Username for AADC database.
-			password (string or None, optional): Password for AADC database.
-		"""
-
-		config = load_config()
-
-		if username is None:
-			username = config.get('database', 'username', fallback=None)
-			if username is None:
-				default_username = getpass.getuser()
-				username = input('Username [%s]: ' % default_username)
-				if username == '':
-					username = default_username
-
-		if password is None:
-			password = config.get('database', 'password', fallback=None)
-			if password is None:
-				password = getpass.getpass('Password: ')
-
-		# Open database connection:
-		self.conn = psql.connect('host=10.28.0.127 user=' + username + ' password=' + password + ' dbname=db_aadc')
-		self.cursor = self.conn.cursor(cursor_factory=DictCursor)
-
-	def close(self):
-		self.cursor.close()
-		self.conn.close()
-
-	def __enter__(self):
-		return self
-
-	def __exit__(self, *args, **kwargs):
-		self.close()
+
+# --------------------------------------------------------------------------------------------------
+class AADC_DB(object):  # pragma: no cover
+    """
+    Connection to the central TASOC database.
+
+    Attributes:
+        conn (`psycopg2.Connection` object): Connection to PostgreSQL database.
+        cursor (`psycopg2.Cursor` object): Cursor to use in database.
+    """
+
+    def __init__(self, username=None, password=None):
+        """
+        Open connection to central TASOC database.
+
+        If ``username`` or ``password`` is not provided or ``None``,
+        the user will be prompted for them.
+
+        Parameters:
+            username (string or None, optional): Username for AADC database.
+            password (string or None, optional): Password for AADC database.
+        """
+
+        config = load_config()
+
+        if username is None:
+            username = config.get('database', 'username', fallback=None)
+            if username is None:
+                default_username = getpass.getuser()
+                username = input('Username [%s]: ' % default_username)
+                if username == '':
+                    username = default_username
+
+        if password is None:
+            password = config.get('database', 'password', fallback=None)
+            if password is None:
+                password = getpass.getpass('Password: ')
+
+        # Open database connection:
+        self.conn = psql.connect('host=10.28.0.127 user=' + username + ' password=' + password + ' dbname=db_aadc')
+        self.cursor = self.conn.cursor(cursor_factory=DictCursor)
+
+    def close(self):
+        self.cursor.close()
+        self.conn.close()
+
+    def __enter__(self):
+        return self
+
+    def __exit__(self, *args, **kwargs):
+        self.close()

flows/api/catalogs.py

@@ -12,113 +12,116 @@
 from functools import lru_cache
 from ..config import load_config
 
-#--------------------------------------------------------------------------------------------------
+
+# --------------------------------------------------------------------------------------------------
 @lru_cache(maxsize=10)
 def get_catalog(target, radius=None, output='table'):
-	"""
-
-	Parameters:
-		target (int or str):
-		radius (float, optional): Radius around target in degrees to return targets for.
-		outout (str, optional): Desired output format. Choises are 'table', 'dict', 'json'.
-			Default='table'.
-
-	Returns:
-		dict: Dictionary with three members:
-			- 'target': Information about target.
-			- 'references': Table with information about reference stars close to target.
-			- 'avoid': Table with stars close to target which should be avoided in FOV selection.
-
-	.. codeauthor:: Rasmus Handberg <[email protected]>
-	"""
-
-	assert output in ('table', 'json', 'dict'), "Invalid output format"
-
-	# Get API token from config file:
-	config = load_config()
-	token = config.get('api', 'token', fallback=None)
-	if token is None:
-		raise RuntimeError("No API token has been defined")
-
-	#
-	r = requests.get('https://flows.phys.au.dk/api/reference_stars.php',
-		params={'target': target},
-		headers={'Authorization': 'Bearer ' + token})
-	r.raise_for_status()
-	jsn = r.json()
-
-	# Convert timestamps to actual Time objects:
-	jsn['target']['inserted'] = Time(jsn['target']['inserted'], scale='utc')
-	if jsn['target']['discovery_date'] is not None:
-		jsn['target']['discovery_date'] = Time(jsn['target']['discovery_date'], scale='utc')
-
-	if output in ('json', 'dict'):
-		return jsn
-
-	dict_tables = {}
-
-	tab = Table(
-		names=('targetid', 'target_name', 'target_status', 'ra', 'decl', 'redshift', 'redshift_error', 'discovery_mag', 'catalog_downloaded', 'pointing_model_created', 'inserted', 'discovery_date', 'project', 'host_galaxy', 'ztf_id', 'sntype'),
-		dtype=('int32', 'str', 'str', 'float64', 'float64', 'float32', 'float32', 'float32', 'bool', 'bool', 'object', 'object', 'str', 'str', 'str', 'str'),
-		rows=[jsn['target']])
-
-	tab['ra'].description = 'Right ascension'
-	tab['ra'].unit = u.deg
-	tab['decl'].description = 'Declination'
-	tab['decl'].unit = u.deg
-	dict_tables['target'] = tab
-
-	for table_name in ('references', 'avoid'):
-		tab = Table(
-			names=('starid', 'ra', 'decl', 'pm_ra', 'pm_dec', 'gaia_mag', 'gaia_bp_mag', 'gaia_rp_mag', 'gaia_variability', 'B_mag', 'V_mag', 'H_mag', 'J_mag', 'K_mag', 'u_mag', 'g_mag', 'r_mag', 'i_mag', 'z_mag', 'distance'),
-			dtype=('int64', 'float64', 'float64', 'float32', 'float32', 'float32', 'float32', 'float32', 'int32', 'float32', 'float32', 'float32', 'float32', 'float32', 'float32', 'float32', 'float32', 'float32', 'float32', 'float64'),
-			rows=jsn[table_name])
-
-		tab['starid'].description = 'Unique identifier in REFCAT2 catalog'
-		tab['ra'].description = 'Right ascension'
-		tab['ra'].unit = u.deg
-		tab['decl'].description = 'Declination'
-		tab['decl'].unit = u.deg
-		tab['pm_ra'].description = 'Proper motion in right ascension'
-		tab['pm_ra'].unit = u.mas/u.yr
-		tab['pm_dec'].description = 'Proper motion in declination'
-		tab['pm_dec'].unit = u.mas/u.yr
-		tab['distance'].description = 'Distance from object to target'
-		tab['distance'].unit = u.deg
-
-		tab['gaia_mag'].description = 'Gaia G magnitude'
-		tab['gaia_bp_mag'].description = 'Gaia Bp magnitude'
-		tab['gaia_rp_mag'].description = 'Gaia Rp magnitude'
-		tab['gaia_variability'].description = 'Gaia variability classification'
-		tab['B_mag'].description = 'Johnson B magnitude'
-		tab['V_mag'].description = 'Johnson V magnitude'
-		tab['H_mag'].description = '2MASS H magnitude'
-		tab['J_mag'].description = '2MASS J magnitude'
-		tab['K_mag'].description = '2MASS K magnitude'
-		tab['u_mag'].description = 'u magnitude'
-		tab['g_mag'].description = 'g magnitude'
-		tab['r_mag'].description = 'r magnitude'
-		tab['i_mag'].description = 'i magnitude'
-		tab['z_mag'].description = 'z magnitude'
-
-		# Add some meta-data to the table as well:
-		tab.meta['targetid'] = int(dict_tables['target']['targetid'])
-
-		dict_tables[table_name] = tab
-
-	return dict_tables
-
-#--------------------------------------------------------------------------------------------------
+    """
+
+    Parameters:
+        target (int or str):
+        radius (float, optional): Radius around target in degrees to return targets for.
+        outout (str, optional): Desired output format. Choises are 'table', 'dict', 'json'.
+            Default='table'.
+
+    Returns:
+        dict: Dictionary with three members:
+            - 'target': Information about target.
+            - 'references': Table with information about reference stars close to target.
+            - 'avoid': Table with stars close to target which should be avoided in FOV selection.
+
+    .. codeauthor:: Rasmus Handberg <[email protected]>
+    """
+
+    assert output in ('table', 'json', 'dict'), "Invalid output format"
+
+    # Get API token from config file:
+    config = load_config()
+    token = config.get('api', 'token', fallback=None)
+    if token is None:
+        raise RuntimeError("No API token has been defined")
+
+    #
+    r = requests.get('https://flows.phys.au.dk/api/reference_stars.php', params={'target': target},
+                     headers={'Authorization': 'Bearer ' + token})
+    r.raise_for_status()
+    jsn = r.json()
+
+    # Convert timestamps to actual Time objects:
+    jsn['target']['inserted'] = Time(jsn['target']['inserted'], scale='utc')
+    if jsn['target']['discovery_date'] is not None:
+        jsn['target']['discovery_date'] = Time(jsn['target']['discovery_date'], scale='utc')
+
+    if output in ('json', 'dict'):
+        return jsn
+
+    dict_tables = {}
+
+    tab = Table(names=(
+        'targetid', 'target_name', 'target_status', 'ra', 'decl', 'redshift', 'redshift_error', 'discovery_mag',
+        'catalog_downloaded', 'pointing_model_created', 'inserted', 'discovery_date', 'project', 'host_galaxy',
+        'ztf_id', 'sntype'), dtype=(
+        'int32', 'str', 'str', 'float64', 'float64', 'float32', 'float32', 'float32', 'bool', 'bool', 'object',
+        'object', 'str', 'str', 'str', 'str'), rows=[jsn['target']])
+
+    tab['ra'].description = 'Right ascension'
+    tab['ra'].unit = u.deg
+    tab['decl'].description = 'Declination'
+    tab['decl'].unit = u.deg
+    dict_tables['target'] = tab
+
+    for table_name in ('references', 'avoid'):
+        tab = Table(names=(
+            'starid', 'ra', 'decl', 'pm_ra', 'pm_dec', 'gaia_mag', 'gaia_bp_mag', 'gaia_rp_mag', 'gaia_variability',
+            'B_mag', 'V_mag', 'H_mag', 'J_mag', 'K_mag', 'u_mag', 'g_mag', 'r_mag', 'i_mag', 'z_mag', 'distance'),
+            dtype=('int64', 'float64', 'float64', 'float32', 'float32', 'float32', 'float32', 'float32', 'int32',
+                   'float32', 'float32', 'float32', 'float32', 'float32', 'float32', 'float32', 'float32', 'float32',
+                   'float32', 'float64'), rows=jsn[table_name])
+
+        tab['starid'].description = 'Unique identifier in REFCAT2 catalog'
+        tab['ra'].description = 'Right ascension'
+        tab['ra'].unit = u.deg
+        tab['decl'].description = 'Declination'
+        tab['decl'].unit = u.deg
+        tab['pm_ra'].description = 'Proper motion in right ascension'
+        tab['pm_ra'].unit = u.mas / u.yr
+        tab['pm_dec'].description = 'Proper motion in declination'
+        tab['pm_dec'].unit = u.mas / u.yr
+        tab['distance'].description = 'Distance from object to target'
+        tab['distance'].unit = u.deg
+
+        tab['gaia_mag'].description = 'Gaia G magnitude'
+        tab['gaia_bp_mag'].description = 'Gaia Bp magnitude'
+        tab['gaia_rp_mag'].description = 'Gaia Rp magnitude'
+        tab['gaia_variability'].description = 'Gaia variability classification'
+        tab['B_mag'].description = 'Johnson B magnitude'
+        tab['V_mag'].description = 'Johnson V magnitude'
+        tab['H_mag'].description = '2MASS H magnitude'
+        tab['J_mag'].description = '2MASS J magnitude'
+        tab['K_mag'].description = '2MASS K magnitude'
+        tab['u_mag'].description = 'u magnitude'
+        tab['g_mag'].description = 'g magnitude'
+        tab['r_mag'].description = 'r magnitude'
+        tab['i_mag'].description = 'i magnitude'
+        tab['z_mag'].description = 'z magnitude'
+
+        # Add some meta-data to the table as well:
+        tab.meta['targetid'] = int(dict_tables['target']['targetid'])
+
+        dict_tables[table_name] = tab
+
+    return dict_tables
+
+
+# --------------------------------------------------------------------------------------------------
 def get_catalog_missing():
-
-	# Get API token from config file:
-	config = load_config()
-	token = config.get('api', 'token', fallback=None)
-	if token is None:
-		raise Exception("No API token has been defined")
-
-	#
-	r = requests.get('https://flows.phys.au.dk/api/catalog_missing.php',
-		headers={'Authorization': 'Bearer ' + token})
-	r.raise_for_status()
-	return r.json()
+    # Get API token from config file:
+    config = load_config()
+    token = config.get('api', 'token', fallback=None)
+    if token is None:
+        raise Exception("No API token has been defined")
+
+    #
+    r = requests.get('https://flows.phys.au.dk/api/catalog_missing.php', headers={'Authorization': 'Bearer ' + token})
+    r.raise_for_status()
+    return r.json()