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train | QueryDbOrm.where | Select from a given Table or Column with the specified WHERE clause
string. Additional keywords are passed to ExploreSqlDB.query(). For
convenience, if there is no '=', '>', '<', 'like', or 'LIKE' clause
in the WHERE statement .where() tries to match the input string
against the primary ... | query/core.py | def where(self, where_string, **kwargs):
"""
Select from a given Table or Column with the specified WHERE clause
string. Additional keywords are passed to ExploreSqlDB.query(). For
convenience, if there is no '=', '>', '<', 'like', or 'LIKE' clause
in the WHERE statement .where()... | def where(self, where_string, **kwargs):
"""
Select from a given Table or Column with the specified WHERE clause
string. Additional keywords are passed to ExploreSqlDB.query(). For
convenience, if there is no '=', '>', '<', 'like', or 'LIKE' clause
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train | QueryDb.query | Execute a raw SQL query against the the SQL DB.
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sql_query (str): A raw SQL query to execute.
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return_as (str): Specify what type of object should be
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"""
Execute a raw SQL query against the the SQL DB.
Args:
sql_query (str): A raw SQL query to execute.
Kwargs:
return_as (str): Specify what type of object should be
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Execute a raw SQL query against the the SQL DB.
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sql_query (str): A raw SQL query to execute.
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train | QueryDb._set_metadata | Internal helper to set metadata attributes. | query/core.py | def _set_metadata(self):
"""
Internal helper to set metadata attributes.
"""
meta = QueryDbMeta()
with self._engine.connect() as conn:
meta.bind = conn
meta.reflect()
self._meta = meta
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"""
Internal helper to set metadata attributes.
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train | QueryDb._to_df | Internal convert-to-DataFrame convenience wrapper. | query/core.py | def _to_df(self, query, conn, index_col=None, coerce_float=True, params=None,
parse_dates=None, columns=None):
"""
Internal convert-to-DataFrame convenience wrapper.
"""
return pd.io.sql.read_sql(str(query), conn, index_col=index_col,
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"""
Internal convert-to-DataFrame convenience wrapper.
"""
return pd.io.sql.read_sql(str(query), conn, index_col=index_col,
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train | disaggregate_temperature | The disaggregation function for temperature
Parameters
----
data_daily : daily data
method : method to disaggregate
min_max_time: "fix" - min/max temperature at fixed times 7h/14h,
"sun_loc" - min/max calculated by sunrise/sunnoon + 2h,
... | melodist/temperature.py | def disaggregate_temperature(data_daily,
method='sine_min_max',
min_max_time='fix',
mod_nighttime=False,
max_delta=None,
mean_course=None,
sun_tim... | def disaggregate_temperature(data_daily,
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mean_course=None,
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train | get_shift_by_data | function to get max temp shift (monthly) by hourly data
Parameters
----
hourly_data_obs : observed hourly data
lat : latitude in DezDeg
lon : longitude in DezDeg
time_zone: timezone | melodist/temperature.py | def get_shift_by_data(temp_hourly, lon, lat, time_zone):
'''function to get max temp shift (monthly) by hourly data
Parameters
----
hourly_data_obs : observed hourly data
lat : latitude in DezDeg
lon : longitude in DezDeg
time_zone: timezone
'''
d... | def get_shift_by_data(temp_hourly, lon, lat, time_zone):
'''function to get max temp shift (monthly) by hourly data
Parameters
----
hourly_data_obs : observed hourly data
lat : latitude in DezDeg
lon : longitude in DezDeg
time_zone: timezone
'''
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train | distribute_equally | Obtains hourly values by equally distributing the daily values.
Args:
daily_data: daily values
divide: if True, divide resulting values by the number of hours in
order to preserve the daily sum (required e.g. for precipitation).
Returns:
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"""Obtains hourly values by equally distributing the daily values.
Args:
daily_data: daily values
divide: if True, divide resulting values by the number of hours in
order to preserve the daily sum (required e.g. for precipitation).
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"""Obtains hourly values by equally distributing the daily values.
Args:
daily_data: daily values
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train | vapor_pressure | Calculates vapor pressure from temperature and humidity after Sonntag (1990).
Args:
temp: temperature values
hum: humidity value(s). Can be scalar (e.g. for calculating saturation vapor pressure).
Returns:
Vapor pressure in hPa. | melodist/util/util.py | def vapor_pressure(temp, hum):
"""
Calculates vapor pressure from temperature and humidity after Sonntag (1990).
Args:
temp: temperature values
hum: humidity value(s). Can be scalar (e.g. for calculating saturation vapor pressure).
Returns:
Vapor pressure in hPa.
"""
i... | def vapor_pressure(temp, hum):
"""
Calculates vapor pressure from temperature and humidity after Sonntag (1990).
Args:
temp: temperature values
hum: humidity value(s). Can be scalar (e.g. for calculating saturation vapor pressure).
Returns:
Vapor pressure in hPa.
"""
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train | dewpoint_temperature | computes the dewpoint temperature
Parameters
----
temp : temperature [K]
hum : relative humidity
Returns
dewpoint temperature in K | melodist/util/util.py | def dewpoint_temperature(temp, hum):
"""computes the dewpoint temperature
Parameters
----
temp : temperature [K]
hum : relative humidity
Returns
dewpoint temperature in K
"""
assert(temp.shape == hum.shape)
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positiv... | def dewpoint_temperature(temp, hum):
"""computes the dewpoint temperature
Parameters
----
temp : temperature [K]
hum : relative humidity
Returns
dewpoint temperature in K
"""
assert(temp.shape == hum.shape)
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train | linregress | linear regression calculation
Parameters
----
x : independent variable (series)
y : dependent variable (series)
return_stats : returns statistical values as well if required (bool)
Returns
----
list of parameters (and statistics) | melodist/util/util.py | def linregress(x, y, return_stats=False):
"""linear regression calculation
Parameters
----
x : independent variable (series)
y : dependent variable (series)
return_stats : returns statistical values as well if required (bool)
Returns
----
list of parameters (an... | def linregress(x, y, return_stats=False):
"""linear regression calculation
Parameters
----
x : independent variable (series)
y : dependent variable (series)
return_stats : returns statistical values as well if required (bool)
Returns
----
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train | get_sun_times | Computes the times of sunrise, solar noon, and sunset for each day.
Parameters
----
dates: datetime
lat : latitude in DecDeg
lon : longitude in DecDeg
time_zone : timezone
Returns
----
DataFrame: [sunrise, sunnoon, sunset, day length] in dec hours | melodist/util/util.py | def get_sun_times(dates, lon, lat, time_zone):
"""Computes the times of sunrise, solar noon, and sunset for each day.
Parameters
----
dates: datetime
lat : latitude in DecDeg
lon : longitude in DecDeg
time_zone : timezone
Returns
----
DataFrame: [sunrise,... | def get_sun_times(dates, lon, lat, time_zone):
"""Computes the times of sunrise, solar noon, and sunset for each day.
Parameters
----
dates: datetime
lat : latitude in DecDeg
lon : longitude in DecDeg
time_zone : timezone
Returns
----
DataFrame: [sunrise,... | [
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train | detect_gaps | checks if a given dataframe contains gaps and returns the number of gaps
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resolution that needs to be specified in seconds. The number of gaps
detected in the dataframe is returned.
Args:
dataframe: A pandas dataframe obj... | melodist/util/util.py | def detect_gaps(dataframe, timestep, print_all=False, print_max=5, verbose=True):
"""checks if a given dataframe contains gaps and returns the number of gaps
This funtion checks if a dataframe contains any gaps for a given temporal
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de... | def detect_gaps(dataframe, timestep, print_all=False, print_max=5, verbose=True):
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train | drop_incomplete_days | truncates a given dataframe to full days only
This funtion truncates a given pandas dataframe (time series) to full days
only, thus dropping leading and tailing hours of incomplete days. Please
note that this methodology only applies to hourly time series.
Args:
dataframe: A pandas dataframe o... | melodist/util/util.py | def drop_incomplete_days(dataframe, shift=0):
"""truncates a given dataframe to full days only
This funtion truncates a given pandas dataframe (time series) to full days
only, thus dropping leading and tailing hours of incomplete days. Please
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train | daily_from_hourly | Aggregates data (hourly to daily values) according to the characteristics
of each variable (e.g., average for temperature, sum for precipitation)
Args:
df: dataframe including time series with one hour time steps
Returns:
dataframe (daily) | melodist/util/util.py | def daily_from_hourly(df):
"""Aggregates data (hourly to daily values) according to the characteristics
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Args:
df: dataframe including time series with one hour time steps
Returns:
dataframe (daily)
"""
df_... | def daily_from_hourly(df):
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df: dataframe including time series with one hour time steps
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dataframe (daily)
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train | disagg_prec | The disaggregation function for precipitation.
Parameters
----------
dailyData : pd.Series
daily data
method : str
method to disaggregate
cascade_options : cascade object
including statistical parameters for the cascade model
hourly_data_obs : pd.Series
observed ... | melodist/precipitation.py | def disagg_prec(dailyData,
method='equal',
cascade_options=None,
hourly_data_obs=None,
zerodiv="uniform",
shift=0):
"""The disaggregation function for precipitation.
Parameters
----------
dailyData : pd.Series
daily... | def disagg_prec(dailyData,
method='equal',
cascade_options=None,
hourly_data_obs=None,
zerodiv="uniform",
shift=0):
"""The disaggregation function for precipitation.
Parameters
----------
dailyData : pd.Series
daily... | [
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train | disagg_prec_cascade | Precipitation disaggregation with cascade model (Olsson, 1998)
Parameters
----------
precip_daily : pd.Series
daily data
hourly: Boolean (for an hourly resolution disaggregation)
if False, then returns 5-min disaggregated precipitation
(disaggregation level depending on the "le... | melodist/precipitation.py | def disagg_prec_cascade(precip_daily,
cascade_options, hourly=True,level=9,
shift=0,
test=False):
"""Precipitation disaggregation with cascade model (Olsson, 1998)
Parameters
----------
precip_daily : pd.Series
daily data
... | def disagg_prec_cascade(precip_daily,
cascade_options, hourly=True,level=9,
shift=0,
test=False):
"""Precipitation disaggregation with cascade model (Olsson, 1998)
Parameters
----------
precip_daily : pd.Series
daily data
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train | precip_master_station | Disaggregate precipitation based on the patterns of a master station
Parameters
-----------
precip_daily : pd.Series
daily data
master_precip_hourly : pd.Series
observed hourly data of the master station
zerodiv : str
method to deal with zero division by key "uniform" --> u... | melodist/precipitation.py | def precip_master_station(precip_daily,
master_precip_hourly,
zerodiv):
"""Disaggregate precipitation based on the patterns of a master station
Parameters
-----------
precip_daily : pd.Series
daily data
master_precip_hourly : pd.Series
... | def precip_master_station(precip_daily,
master_precip_hourly,
zerodiv):
"""Disaggregate precipitation based on the patterns of a master station
Parameters
-----------
precip_daily : pd.Series
daily data
master_precip_hourly : pd.Series
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train | aggregate_precipitation | Aggregates highly resolved precipitation data and creates statistics
Parameters
----------
vec_data : pd.Series
hourly (hourly=True) OR 5-min values
Returns
-------
output : cascade object
representing statistics of the cascade model | melodist/precipitation.py | def aggregate_precipitation(vec_data,hourly=True, percentile=50):
"""Aggregates highly resolved precipitation data and creates statistics
Parameters
----------
vec_data : pd.Series
hourly (hourly=True) OR 5-min values
Returns
-------
output : cascade object
representing st... | def aggregate_precipitation(vec_data,hourly=True, percentile=50):
"""Aggregates highly resolved precipitation data and creates statistics
Parameters
----------
vec_data : pd.Series
hourly (hourly=True) OR 5-min values
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train | seasonal_subset | Get the seasonal data.
Parameters
----------
dataframe : pd.DataFrame
months: int, str
Months to use for statistics, or 'all' for 1-12 (default='all') | melodist/precipitation.py | def seasonal_subset(dataframe,
months='all'):
'''Get the seasonal data.
Parameters
----------
dataframe : pd.DataFrame
months: int, str
Months to use for statistics, or 'all' for 1-12 (default='all')
'''
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'''Get the seasonal data.
Parameters
----------
dataframe : pd.DataFrame
months: int, str
Months to use for statistics, or 'all' for 1-12 (default='all')
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train | build_casc | Builds the cascade statistics of observed data for disaggregation
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ObsData : pd.Series
hourly=True -> hourly obs data
else -> 5min data (disaggregation level=9 (default), 10, 11)
months : numpy array of ints
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months=None,
avg_stats=True,
percentile=50):
'''Builds the cascade statistics of observed data for disaggregation
Parameters
-----------
ObsData : pd.Series
hourly=True -> hourly obs data
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months=None,
avg_stats=True,
percentile=50):
'''Builds the cascade statistics of observed data for disaggregation
Parameters
-----------
ObsData : pd.Series
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train | CascadeStatistics.fill_with_sample_data | This function fills the corresponding object with sample data. | melodist/cascade.py | def fill_with_sample_data(self):
"""This function fills the corresponding object with sample data."""
# replace these sample data with another dataset later
# this function is deprecated as soon as a common file format for this
# type of data will be available
self.p01 = np.array... | def fill_with_sample_data(self):
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# this function is deprecated as soon as a common file format for this
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train | Emoji.names | A list of all emoji names without file extension. | emoji/models.py | def names(cls):
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if not cls._files:
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"""A list of all emoji names without file extension."""
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os.path.isfile(os.path.join(cls._image_path, f))):
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train | Emoji.replace | Add in valid emojis in a string where a valid emoji is between :: | emoji/models.py | def replace(cls, replacement_string):
"""Add in valid emojis in a string where a valid emoji is between ::"""
e = cls()
def _replace_emoji(match):
val = match.group(1)
if val in e:
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else:
r... | def replace(cls, replacement_string):
"""Add in valid emojis in a string where a valid emoji is between ::"""
e = cls()
def _replace_emoji(match):
val = match.group(1)
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unicode codepoints that we recognize. If it does then it will
replace that codepoint with an image just like ``replace``.
NOTE: This will only work with Python versions built with wi... | emoji/models.py | def replace_unicode(cls, replacement_string):
"""This method will iterate over every character in
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unicode codepoints that we recognize. If it does then it will
replace that codepoint with an image just like ``replace``.
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`True` then this conversation will always be done in
`replace_unicode` (default: True). | emoji/models.py | def replace_html_entities(cls, replacement_string):
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"""
def _h... | def replace_html_entities(cls, replacement_string):
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that they need to be compiled with wide unicode character support.
If there isn't wide unicode character support it'll blow up with a
warning. | bin/generate-unicode-aliases.py | def _convert_to_unicode(string):
"""This method should work with both Python 2 and 3 with the caveat
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warning.
"""
codepoints = []
for character in string.sp... | def _convert_to_unicode(string):
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train | _delete_file | remove file and remove it's directories if empty | bobtemplates/odoo/hooks.py | def _delete_file(configurator, path):
""" remove file and remove it's directories if empty """
path = os.path.join(configurator.target_directory, path)
os.remove(path)
try:
os.removedirs(os.path.dirname(path))
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""" remove file and remove it's directories if empty """
path = os.path.join(configurator.target_directory, path)
os.remove(path)
try:
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train | _insert_manifest_item | Insert an item in the list of an existing manifest key | bobtemplates/odoo/hooks.py | def _insert_manifest_item(configurator, key, item):
""" Insert an item in the list of an existing manifest key """
with _open_manifest(configurator) as f:
manifest = f.read()
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pattern = """(["']{}["']:\\s*\\[)""".format(key)
r... | def _insert_manifest_item(configurator, key, item):
""" Insert an item in the list of an existing manifest key """
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manifest = f.read()
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train | _read_requirements | Parses a file for pip installation requirements. | setup.py | def _read_requirements(filename):
"""Parses a file for pip installation requirements."""
with open(filename) as requirements_file:
contents = requirements_file.read()
return [line.strip() for line in contents.splitlines() if _is_requirement(line)] | def _read_requirements(filename):
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train | assign_perm | Assigns a permission to a group | smartmin/perms.py | def assign_perm(perm, group):
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train | remove_perm | Removes a permission from a group | smartmin/perms.py | def remove_perm(perm, group):
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Removes a permission from a group
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train | get_list_class | Returns the class to use for the passed in list. We just build something up
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"""
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train | format_datetime | Formats a date, converting the time to the user timezone if one is specified | smartmin/templatetags/smartmin.py | def format_datetime(time):
"""
Formats a date, converting the time to the user timezone if one is specified
"""
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if time.tzinfo is None:
time = time.replace(tzinfo=pytz.utc)
user_time_zone = pytz.timezone(getattr(settings, 'USER_TIME_ZO... | def format_datetime(time):
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Formats a date, converting the time to the user timezone if one is specified
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train | get_value_from_view | Responsible for deriving the displayed value for the passed in 'field'.
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"""
Responsible for deriving the displayed value for the passed in 'field'.
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"""
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Responsible for deriving the displayed value for the passed in 'field'.
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train | get_class | Looks up the class for this field | smartmin/templatetags/smartmin.py | def get_class(context, field, obj=None):
"""
Looks up the class for this field
"""
view = context['view']
return view.lookup_field_class(field, obj, "field_" + field) | def get_class(context, field, obj=None):
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Looks up the class for this field
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view = context['view']
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train | get_label | Responsible for figuring out the right label for the passed in field.
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1) if the view has a field_config and a label specified there, use that label
2) check for a form in the view, if it contains that field, use it's value | smartmin/templatetags/smartmin.py | def get_label(context, field, obj=None):
"""
Responsible for figuring out the right label for the passed in field.
The order of precedence is:
1) if the view has a field_config and a label specified there, use that label
2) check for a form in the view, if it contains that field, use it's val... | def get_label(context, field, obj=None):
"""
Responsible for figuring out the right label for the passed in field.
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train | get_field_link | Determine what the field link should be for the given field, object pair | smartmin/templatetags/smartmin.py | def get_field_link(context, field, obj=None):
"""
Determine what the field link should be for the given field, object pair
"""
view = context['view']
return view.lookup_field_link(context, field, obj) | def get_field_link(context, field, obj=None):
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view = context['view']
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train | get_permissions_app_name | Gets the app after which smartmin permissions should be installed. This can be specified by PERMISSIONS_APP in the
Django settings or defaults to the last app with models | smartmin/management/__init__.py | def get_permissions_app_name():
"""
Gets the app after which smartmin permissions should be installed. This can be specified by PERMISSIONS_APP in the
Django settings or defaults to the last app with models
"""
global permissions_app_name
if not permissions_app_name:
permissions_app_nam... | def get_permissions_app_name():
"""
Gets the app after which smartmin permissions should be installed. This can be specified by PERMISSIONS_APP in the
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"""
global permissions_app_name
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train | check_role_permissions | Checks the the passed in role (can be user, group or AnonymousUser) has all the passed
in permissions, granting them if necessary. | smartmin/management/__init__.py | def check_role_permissions(role, permissions, current_permissions):
"""
Checks the the passed in role (can be user, group or AnonymousUser) has all the passed
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"""
role_permissions = []
# get all the current permissions, we'll remove these as we verif... | def check_role_permissions(role, permissions, current_permissions):
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train | check_all_group_permissions | Checks that all the permissions specified in our settings.py are set for our groups. | smartmin/management/__init__.py | def check_all_group_permissions(sender, **kwargs):
"""
Checks that all the permissions specified in our settings.py are set for our groups.
"""
if not is_permissions_app(sender):
return
config = getattr(settings, 'GROUP_PERMISSIONS', dict())
# for each of our items
for name, permis... | def check_all_group_permissions(sender, **kwargs):
"""
Checks that all the permissions specified in our settings.py are set for our groups.
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train | add_permission | Adds the passed in permission to that content type. Note that the permission passed
in should be a single word, or verb. The proper 'codename' will be generated from that. | smartmin/management/__init__.py | def add_permission(content_type, permission):
"""
Adds the passed in permission to that content type. Note that the permission passed
in should be a single word, or verb. The proper 'codename' will be generated from that.
"""
# build our permission slug
codename = "%s_%s" % (content_type.model... | def add_permission(content_type, permission):
"""
Adds the passed in permission to that content type. Note that the permission passed
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"""
# build our permission slug
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train | check_all_permissions | This syncdb checks our PERMISSIONS setting in settings.py and makes sure all those permissions
actually exit. | smartmin/management/__init__.py | def check_all_permissions(sender, **kwargs):
"""
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"""
if not is_permissions_app(sender):
return
config = getattr(settings, 'PERMISSIONS', dict())
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... | def check_all_permissions(sender, **kwargs):
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if not is_permissions_app(sender):
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train | UserForm.save | Overloaded so we can save any new password that is included. | smartmin/users/views.py | def save(self, commit=True):
"""
Overloaded so we can save any new password that is included.
"""
is_new_user = self.instance.pk is None
user = super(UserForm, self).save(commit)
# new users should be made active by default
if is_new_user:
user.is_ac... | def save(self, commit=True):
"""
Overloaded so we can save any new password that is included.
"""
is_new_user = self.instance.pk is None
user = super(UserForm, self).save(commit)
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train | smart_url | URLs that start with @ are reversed, using the passed in arguments.
Otherwise a straight % substitution is applied. | smartmin/views.py | def smart_url(url, obj=None):
"""
URLs that start with @ are reversed, using the passed in arguments.
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"""
if url.find("@") >= 0:
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"""
URLs that start with @ are reversed, using the passed in arguments.
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"""
if url.find("@") >= 0:
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train | derive_single_object_url_pattern | Utility function called by class methods for single object views | smartmin/views.py | def derive_single_object_url_pattern(slug_url_kwarg, path, action):
"""
Utility function called by class methods for single object views
"""
if slug_url_kwarg:
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Utility function called by class methods for single object views
"""
if slug_url_kwarg:
return r'^%s/%s/(?P<%s>[^/]+)/$' % (path, action, slug_url_kwarg)
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train | SmartView.has_permission | Figures out if the current user has permissions for this view. | smartmin/views.py | def has_permission(self, request, *args, **kwargs):
"""
Figures out if the current user has permissions for this view.
"""
self.kwargs = kwargs
self.args = args
self.request = request
if not getattr(self, 'permission', None):
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"""
Figures out if the current user has permissions for this view.
"""
self.kwargs = kwargs
self.args = args
self.request = request
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train | SmartView.dispatch | Overloaded to check permissions if appropriate | smartmin/views.py | def dispatch(self, request, *args, **kwargs):
"""
Overloaded to check permissions if appropriate
"""
def wrapper(request, *args, **kwargs):
if not self.has_permission(request, *args, **kwargs):
path = urlquote(request.get_full_path())
login_url... | def dispatch(self, request, *args, **kwargs):
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Overloaded to check permissions if appropriate
"""
def wrapper(request, *args, **kwargs):
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train | SmartView.lookup_obj_attribute | Looks for a field's value from the passed in obj. Note that this will strip
leading attributes to deal with subelements if possible | smartmin/views.py | def lookup_obj_attribute(self, obj, field):
"""
Looks for a field's value from the passed in obj. Note that this will strip
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"""
curr_field = field.encode('ascii', 'ignore').decode("utf-8")
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"""
Looks for a field's value from the passed in obj. Note that this will strip
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curr_field = field.encode('ascii', 'ignore').decode("utf-8")
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This may be used for example to change the display value of a variable depending on
... | smartmin/views.py | def lookup_field_value(self, context, obj, field):
"""
Looks up the field value for the passed in object and field name.
Note that this method is actually called from a template, but this provides a hook
for subclasses to modify behavior if they wish to do so.
This may be used ... | def lookup_field_value(self, context, obj, field):
"""
Looks up the field value for the passed in object and field name.
Note that this method is actually called from a template, but this provides a hook
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train | SmartView.lookup_field_label | Figures out what the field label should be for the passed in field name.
Our heuristic is as follows:
1) we check to see if our field_config has a label specified
2) if not, then we derive a field value from the field name | smartmin/views.py | def lookup_field_label(self, context, field, default=None):
"""
Figures out what the field label should be for the passed in field name.
Our heuristic is as follows:
1) we check to see if our field_config has a label specified
2) if not, then we derive a field value from... | def lookup_field_label(self, context, field, default=None):
"""
Figures out what the field label should be for the passed in field name.
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train | SmartView.lookup_field_help | Looks up the help text for the passed in field. | smartmin/views.py | def lookup_field_help(self, field, default=None):
"""
Looks up the help text for the passed in field.
"""
help = None
# is there a label specified for this field
if field in self.field_config and 'help' in self.field_config[field]:
help = self.field_config[fi... | def lookup_field_help(self, field, default=None):
"""
Looks up the help text for the passed in field.
"""
help = None
# is there a label specified for this field
if field in self.field_config and 'help' in self.field_config[field]:
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train | SmartView.lookup_field_class | Looks up any additional class we should include when rendering this field | smartmin/views.py | def lookup_field_class(self, field, obj=None, default=None):
"""
Looks up any additional class we should include when rendering this field
"""
css = ""
# is there a class specified for this field
if field in self.field_config and 'class' in self.field_config[field]:
... | def lookup_field_class(self, field, obj=None, default=None):
"""
Looks up any additional class we should include when rendering this field
"""
css = ""
# is there a class specified for this field
if field in self.field_config and 'class' in self.field_config[field]:
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train | SmartView.get_template_names | Returns the name of the template to use to render this request.
Smartmin provides default templates as fallbacks, so appends it's own templates names to the end
of whatever list is built by the generic views.
Subclasses can override this by setting a 'template_name' variable on the class. | smartmin/views.py | def get_template_names(self):
"""
Returns the name of the template to use to render this request.
Smartmin provides default templates as fallbacks, so appends it's own templates names to the end
of whatever list is built by the generic views.
Subclasses can override this by set... | def get_template_names(self):
"""
Returns the name of the template to use to render this request.
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train | SmartView.derive_fields | Default implementation | smartmin/views.py | def derive_fields(self):
"""
Default implementation
"""
fields = []
if self.fields:
fields.append(self.fields)
return fields | def derive_fields(self):
"""
Default implementation
"""
fields = []
if self.fields:
fields.append(self.fields)
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train | SmartView.get_context_data | We supplement the normal context data by adding our fields and labels. | smartmin/views.py | def get_context_data(self, **kwargs):
"""
We supplement the normal context data by adding our fields and labels.
"""
context = super(SmartView, self).get_context_data(**kwargs)
# derive our field config
self.field_config = self.derive_field_config()
# add our fi... | def get_context_data(self, **kwargs):
"""
We supplement the normal context data by adding our fields and labels.
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context = super(SmartView, self).get_context_data(**kwargs)
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train | SmartView.render_to_response | Overloaded to deal with _format arguments. | smartmin/views.py | def render_to_response(self, context, **response_kwargs):
"""
Overloaded to deal with _format arguments.
"""
# should we actually render in json?
if '_format' in self.request.GET and self.request.GET['_format'] == 'json':
return JsonResponse(self.as_json(context), saf... | def render_to_response(self, context, **response_kwargs):
"""
Overloaded to deal with _format arguments.
"""
# should we actually render in json?
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train | SmartReadView.derive_fields | Derives our fields. We first default to using our 'fields' variable if available,
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"""
Derives our fields. We first default to using our 'fields' variable if available,
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"""
if self.fields:
return list(self.fields)
else:
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train | SmartDeleteView.get_context_data | Add in the field to use for the name field | smartmin/views.py | def get_context_data(self, **kwargs):
""" Add in the field to use for the name field """
context = super(SmartDeleteView, self).get_context_data(**kwargs)
context['name_field'] = self.name_field
context['cancel_url'] = self.get_cancel_url()
return context | def get_context_data(self, **kwargs):
""" Add in the field to use for the name field """
context = super(SmartDeleteView, self).get_context_data(**kwargs)
context['name_field'] = self.name_field
context['cancel_url'] = self.get_cancel_url()
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train | SmartListView.derive_title | Derives our title from our list | smartmin/views.py | def derive_title(self):
"""
Derives our title from our list
"""
title = super(SmartListView, self).derive_title()
if not title:
return force_text(self.model._meta.verbose_name_plural).title()
else:
return title | def derive_title(self):
"""
Derives our title from our list
"""
title = super(SmartListView, self).derive_title()
if not title:
return force_text(self.model._meta.verbose_name_plural).title()
else:
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train | SmartListView.derive_link_fields | Used to derive which fields should be linked. This should return a set() containing
the names of those fields which should be linkable. | smartmin/views.py | def derive_link_fields(self, context):
"""
Used to derive which fields should be linked. This should return a set() containing
the names of those fields which should be linkable.
"""
if self.link_fields is not None:
return self.link_fields
else:
... | def derive_link_fields(self, context):
"""
Used to derive which fields should be linked. This should return a set() containing
the names of those fields which should be linkable.
"""
if self.link_fields is not None:
return self.link_fields
else:
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train | SmartListView.lookup_field_orderable | Returns whether the passed in field is sortable or not, by default all 'raw' fields, that
is fields that are part of the model are sortable. | smartmin/views.py | def lookup_field_orderable(self, field):
"""
Returns whether the passed in field is sortable or not, by default all 'raw' fields, that
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"""
try:
self.model._meta.get_field_by_name(field)
return True
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train | SmartListView.get_context_data | Add in what fields are linkable | smartmin/views.py | def get_context_data(self, **kwargs):
"""
Add in what fields are linkable
"""
context = super(SmartListView, self).get_context_data(**kwargs)
# our linkable fields
self.link_fields = self.derive_link_fields(context)
# stuff it all in our context
context[... | def get_context_data(self, **kwargs):
"""
Add in what fields are linkable
"""
context = super(SmartListView, self).get_context_data(**kwargs)
# our linkable fields
self.link_fields = self.derive_link_fields(context)
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train | SmartListView.derive_queryset | Derives our queryset. | smartmin/views.py | def derive_queryset(self, **kwargs):
"""
Derives our queryset.
"""
# get our parent queryset
queryset = super(SmartListView, self).get_queryset(**kwargs)
# apply any filtering
search_fields = self.derive_search_fields()
search_query = self.request.GET.get... | def derive_queryset(self, **kwargs):
"""
Derives our queryset.
"""
# get our parent queryset
queryset = super(SmartListView, self).get_queryset(**kwargs)
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search_fields = self.derive_search_fields()
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train | SmartListView.get_queryset | Gets our queryset. This takes care of filtering if there are any
fields to filter by. | smartmin/views.py | def get_queryset(self, **kwargs):
"""
Gets our queryset. This takes care of filtering if there are any
fields to filter by.
"""
queryset = self.derive_queryset(**kwargs)
return self.order_queryset(queryset) | def get_queryset(self, **kwargs):
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Gets our queryset. This takes care of filtering if there are any
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queryset = self.derive_queryset(**kwargs)
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train | SmartListView.derive_ordering | Returns what field should be used for ordering (using a prepended '-' to indicate descending sort).
If the default order of the queryset should be used, returns None | smartmin/views.py | def derive_ordering(self):
"""
Returns what field should be used for ordering (using a prepended '-' to indicate descending sort).
If the default order of the queryset should be used, returns None
"""
if '_order' in self.request.GET:
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train | SmartListView.order_queryset | Orders the passed in queryset, returning a new queryset in response. By default uses the _order query
parameter. | smartmin/views.py | def order_queryset(self, queryset):
"""
Orders the passed in queryset, returning a new queryset in response. By default uses the _order query
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"""
order = self.derive_ordering()
# if we get our order from the request
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order = self.derive_ordering()
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train | SmartListView.derive_fields | Derives our fields. | smartmin/views.py | def derive_fields(self):
"""
Derives our fields.
"""
if self.fields:
return self.fields
else:
fields = []
for field in self.object_list.model._meta.fields:
if field.name != 'id':
fields.append(field.name)
... | def derive_fields(self):
"""
Derives our fields.
"""
if self.fields:
return self.fields
else:
fields = []
for field in self.object_list.model._meta.fields:
if field.name != 'id':
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train | SmartListView.render_to_response | Overloaded to deal with _format arguments. | smartmin/views.py | def render_to_response(self, context, **response_kwargs):
"""
Overloaded to deal with _format arguments.
"""
# is this a select2 format response?
if self.request.GET.get('_format', 'html') == 'select2':
results = []
for obj in context['object_list']:
... | def render_to_response(self, context, **response_kwargs):
"""
Overloaded to deal with _format arguments.
"""
# is this a select2 format response?
if self.request.GET.get('_format', 'html') == 'select2':
results = []
for obj in context['object_list']:
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train | SmartFormMixin.get_form | Returns an instance of the form to be used in this view. | smartmin/views.py | def get_form(self):
"""
Returns an instance of the form to be used in this view.
"""
self.form = super(SmartFormMixin, self).get_form()
fields = list(self.derive_fields())
# apply our field filtering on our form class
exclude = self.derive_exclude()
excl... | def get_form(self):
"""
Returns an instance of the form to be used in this view.
"""
self.form = super(SmartFormMixin, self).get_form()
fields = list(self.derive_fields())
# apply our field filtering on our form class
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train | SmartFormMixin.customize_form_field | Allows views to customize their form fields. By default, Smartmin replaces the plain textbox
date input with it's own DatePicker implementation. | smartmin/views.py | def customize_form_field(self, name, field):
"""
Allows views to customize their form fields. By default, Smartmin replaces the plain textbox
date input with it's own DatePicker implementation.
"""
if isinstance(field, forms.fields.DateField) and isinstance(field.widget, forms.w... | def customize_form_field(self, name, field):
"""
Allows views to customize their form fields. By default, Smartmin replaces the plain textbox
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"""
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train | SmartFormMixin.lookup_field_label | Figures out what the field label should be for the passed in field name.
We overload this so as to use our form to see if there is label set there. If so
then we'll pass that as the default instead of having our parent derive
the field from the name. | smartmin/views.py | def lookup_field_label(self, context, field, default=None):
"""
Figures out what the field label should be for the passed in field name.
We overload this so as to use our form to see if there is label set there. If so
then we'll pass that as the default instead of having our parent der... | def lookup_field_label(self, context, field, default=None):
"""
Figures out what the field label should be for the passed in field name.
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train | SmartFormMixin.lookup_field_help | Looks up the help text for the passed in field.
This is overloaded so that we can check whether our form has help text set
explicitely. If so, we will pass this as the default to our parent function. | smartmin/views.py | def lookup_field_help(self, field, default=None):
"""
Looks up the help text for the passed in field.
This is overloaded so that we can check whether our form has help text set
explicitely. If so, we will pass this as the default to our parent function.
"""
default = No... | def lookup_field_help(self, field, default=None):
"""
Looks up the help text for the passed in field.
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explicitely. If so, we will pass this as the default to our parent function.
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default = No... | [
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train | SmartFormMixin.derive_readonly | Figures out what fields should be readonly. We iterate our field_config to find all
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"""
Figures out what fields should be readonly. We iterate our field_config to find all
that have a readonly of true
"""
readonly = list(self.readonly)
for key, value in self.field_config.items():
if 'readonly' in value and value['r... | def derive_readonly(self):
"""
Figures out what fields should be readonly. We iterate our field_config to find all
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readonly = list(self.readonly)
for key, value in self.field_config.items():
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train | SmartFormMixin.derive_fields | Derives our fields. | smartmin/views.py | def derive_fields(self):
"""
Derives our fields.
"""
if self.fields is not None:
fields = list(self.fields)
else:
form = self.form
fields = []
for field in form:
fields.append(field.name)
# this is sligh... | def derive_fields(self):
"""
Derives our fields.
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if self.fields is not None:
fields = list(self.fields)
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form = self.form
fields = []
for field in form:
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train | SmartFormMixin.get_form_class | Returns the form class to use in this view | smartmin/views.py | def get_form_class(self):
"""
Returns the form class to use in this view
"""
if self.form_class:
form_class = self.form_class
else:
if self.model is not None:
# If a model has been explicitly provided, use it
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"""
Returns the form class to use in this view
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form_class = self.form_class
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train | SmartFormMixin.get_factory_kwargs | Let's us specify any extra parameters we might want to call for our form factory.
These can include: 'form', 'fields', 'exclude' or 'formfield_callback' | smartmin/views.py | def get_factory_kwargs(self):
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train | SmartFormMixin.get_success_url | By default we use the referer that was stuffed in our
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if self.success_url:
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train | SmartFormMixin.get_form_kwargs | We override this, using only those fields specified if they are specified.
Otherwise we include all fields in a standard ModelForm. | smartmin/views.py | def get_form_kwargs(self):
"""
We override this, using only those fields specified if they are specified.
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"""
kwargs = super(SmartFormMixin, self).get_form_kwargs()
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We override this, using only those fields specified if they are specified.
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kwargs = super(SmartFormMixin, self).get_form_kwargs()
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train | SmartCreateView.derive_title | Derives our title from our object | smartmin/views.py | def derive_title(self):
"""
Derives our title from our object
"""
if not self.title:
return _("Create %s") % force_text(self.model._meta.verbose_name).title()
else:
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"""
Derives our title from our object
"""
if not self.title:
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train | SmartCRUDL.permission_for_action | Returns the permission to use for the passed in action | smartmin/views.py | def permission_for_action(self, action):
"""
Returns the permission to use for the passed in action
"""
return "%s.%s_%s" % (self.app_name.lower(), self.model_name.lower(), action) | def permission_for_action(self, action):
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Returns the permission to use for the passed in action
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train | SmartCRUDL.template_for_action | Returns the template to use for the passed in action | smartmin/views.py | def template_for_action(self, action):
"""
Returns the template to use for the passed in action
"""
return "%s/%s_%s.html" % (self.module_name.lower(), self.model_name.lower(), action) | def template_for_action(self, action):
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Returns the template to use for the passed in action
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train | SmartCRUDL.url_name_for_action | Returns the reverse name for this action | smartmin/views.py | def url_name_for_action(self, action):
"""
Returns the reverse name for this action
"""
return "%s.%s_%s" % (self.module_name.lower(), self.model_name.lower(), action) | def url_name_for_action(self, action):
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Returns the reverse name for this action
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return "%s.%s_%s" % (self.module_name.lower(), self.model_name.lower(), action) | [
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train | SmartCRUDL.view_for_action | Returns the appropriate view class for the passed in action | smartmin/views.py | def view_for_action(self, action):
"""
Returns the appropriate view class for the passed in action
"""
# this turns replace_foo into ReplaceFoo and read into Read
class_name = "".join([word.capitalize() for word in action.split("_")])
view = None
# see if we have... | def view_for_action(self, action):
"""
Returns the appropriate view class for the passed in action
"""
# this turns replace_foo into ReplaceFoo and read into Read
class_name = "".join([word.capitalize() for word in action.split("_")])
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train | SmartCRUDL.pattern_for_view | Returns the URL pattern for the passed in action. | smartmin/views.py | def pattern_for_view(self, view, action):
"""
Returns the URL pattern for the passed in action.
"""
# if this view knows how to define a URL pattern, call that
if getattr(view, 'derive_url_pattern', None):
return view.derive_url_pattern(self.path, action)
# o... | def pattern_for_view(self, view, action):
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Returns the URL pattern for the passed in action.
"""
# if this view knows how to define a URL pattern, call that
if getattr(view, 'derive_url_pattern', None):
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train | SmartCRUDL.as_urlpatterns | Creates the appropriate URLs for this object. | smartmin/views.py | def as_urlpatterns(self):
"""
Creates the appropriate URLs for this object.
"""
urls = []
# for each of our actions
for action in self.actions:
view_class = self.view_for_action(action)
view_pattern = self.pattern_for_view(view_class, action)
... | def as_urlpatterns(self):
"""
Creates the appropriate URLs for this object.
"""
urls = []
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view_class = self.view_for_action(action)
view_pattern = self.pattern_for_view(view_class, action)
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train | Command.load_migrations | Loads all migrations in the order they would be applied to a clean database | smartmin/management/commands/collect_sql.py | def load_migrations(self): # pragma: no cover
"""
Loads all migrations in the order they would be applied to a clean database
"""
executor = MigrationExecutor(connection=None)
# create the forwards plan Django would follow on an empty database
plan = executor.migration_... | def load_migrations(self): # pragma: no cover
"""
Loads all migrations in the order they would be applied to a clean database
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executor = MigrationExecutor(connection=None)
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train | Command.extract_operations | Extract SQL operations from the given migrations | smartmin/management/commands/collect_sql.py | def extract_operations(self, migrations):
"""
Extract SQL operations from the given migrations
"""
operations = []
for migration in migrations:
for operation in migration.operations:
if isinstance(operation, RunSQL):
statements = s... | def extract_operations(self, migrations):
"""
Extract SQL operations from the given migrations
"""
operations = []
for migration in migrations:
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if isinstance(operation, RunSQL):
statements = s... | [
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train | Command.normalize_operations | Removes redundant SQL operations - e.g. a CREATE X followed by a DROP X | smartmin/management/commands/collect_sql.py | def normalize_operations(self, operations):
"""
Removes redundant SQL operations - e.g. a CREATE X followed by a DROP X
"""
normalized = OrderedDict()
for operation in operations:
op_key = (operation.sql_type, operation.obj_name)
# do we already have an ... | def normalize_operations(self, operations):
"""
Removes redundant SQL operations - e.g. a CREATE X followed by a DROP X
"""
normalized = OrderedDict()
for operation in operations:
op_key = (operation.sql_type, operation.obj_name)
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train | Command.write_type_dumps | Splits the list of SQL operations by type and dumps these to separate files | smartmin/management/commands/collect_sql.py | def write_type_dumps(self, operations, preserve_order, output_dir):
"""
Splits the list of SQL operations by type and dumps these to separate files
"""
by_type = {SqlType.INDEX: [], SqlType.FUNCTION: [], SqlType.TRIGGER: []}
for operation in operations:
by_type[operat... | def write_type_dumps(self, operations, preserve_order, output_dir):
"""
Splits the list of SQL operations by type and dumps these to separate files
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by_type = {SqlType.INDEX: [], SqlType.FUNCTION: [], SqlType.TRIGGER: []}
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train | VisibleHiddenWidget.render | Returns this Widget rendered as HTML, as a Unicode string.
The 'value' given is not guaranteed to be valid input, so subclass
implementations should program defensively. | smartmin/widgets.py | def render(self, name, value, attrs=None, renderer=None):
"""
Returns this Widget rendered as HTML, as a Unicode string.
The 'value' given is not guaranteed to be valid input, so subclass
implementations should program defensively.
"""
html = ''
html += '%s' % va... | def render(self, name, value, attrs=None, renderer=None):
"""
Returns this Widget rendered as HTML, as a Unicode string.
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train | add_atom_data | Add the atomic data to the DataTransferInterface.
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:param data_setters the class to push the data to
:param atom_nams the list of atom names for the group
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:param atom_charges the list... | mmtf/utils/decoder_utils.py | def add_atom_data(data_api, data_setters, atom_names, element_names, atom_charges, group_atom_ind):
"""Add the atomic data to the DataTransferInterface.
:param data_api the data api from where to get the data
:param data_setters the class to push the data to
:param atom_nams the list of atom names for t... | def add_atom_data(data_api, data_setters, atom_names, element_names, atom_charges, group_atom_ind):
"""Add the atomic data to the DataTransferInterface.
:param data_api the data api from where to get the data
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train | add_group_bonds | Add the bonds for this group.
:param data_setters the class to push the data to
:param bond_indices the indices of the atoms in the group that
are bonded (in pairs)
:param bond_orders the orders of the bonds | mmtf/utils/decoder_utils.py | def add_group_bonds(data_setters, bond_indices, bond_orders):
"""Add the bonds for this group.
:param data_setters the class to push the data to
:param bond_indices the indices of the atoms in the group that
are bonded (in pairs)
:param bond_orders the orders of the bonds"""
for bond_index in ra... | def add_group_bonds(data_setters, bond_indices, bond_orders):
"""Add the bonds for this group.
:param data_setters the class to push the data to
:param bond_indices the indices of the atoms in the group that
are bonded (in pairs)
:param bond_orders the orders of the bonds"""
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train | add_group | Add the data for a whole group.
:param data_api the data api from where to get the data
:param data_setters the class to push the data to
:param group_index the index for this group | mmtf/utils/decoder_utils.py | def add_group(data_api, data_setters, group_index):
"""Add the data for a whole group.
:param data_api the data api from where to get the data
:param data_setters the class to push the data to
:param group_index the index for this group"""
group_type_ind = data_api.group_type_list[group_index]
a... | def add_group(data_api, data_setters, group_index):
"""Add the data for a whole group.
:param data_api the data api from where to get the data
:param data_setters the class to push the data to
:param group_index the index for this group"""
group_type_ind = data_api.group_type_list[group_index]
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train | add_chain_info | Add the data for a whole chain.
:param data_api the data api from where to get the data
:param data_setters the class to push the data to
:param chain_index the index for this chain | mmtf/utils/decoder_utils.py | def add_chain_info(data_api, data_setters, chain_index):
"""Add the data for a whole chain.
:param data_api the data api from where to get the data
:param data_setters the class to push the data to
:param chain_index the index for this chain"""
chain_id = data_api.chain_id_list[chain_index]
chai... | def add_chain_info(data_api, data_setters, chain_index):
"""Add the data for a whole chain.
:param data_api the data api from where to get the data
:param data_setters the class to push the data to
:param chain_index the index for this chain"""
chain_id = data_api.chain_id_list[chain_index]
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... | 899bb877ca1b32a9396803d38c5bf38a2520754e |
train | add_atomic_information | Add all the structural information.
:param data_api the data api from where to get the data
:param data_setters the class to push the data to | mmtf/utils/decoder_utils.py | def add_atomic_information(data_api, data_setters):
"""Add all the structural information.
:param data_api the data api from where to get the data
:param data_setters the class to push the data to"""
for model_chains in data_api.chains_per_model:
data_setters.set_model_info(data_api.model_counte... | def add_atomic_information(data_api, data_setters):
"""Add all the structural information.
:param data_api the data api from where to get the data
:param data_setters the class to push the data to"""
for model_chains in data_api.chains_per_model:
data_setters.set_model_info(data_api.model_counte... | [
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train | generate_bio_assembly | Generate the bioassembly data.
:param data_api the interface to the decoded data
:param struct_inflator the interface to put the data into the client object | mmtf/utils/decoder_utils.py | def generate_bio_assembly(data_api, struct_inflator):
"""Generate the bioassembly data.
:param data_api the interface to the decoded data
:param struct_inflator the interface to put the data into the client object"""
bioassembly_count = 0
for bioassembly in data_api.bio_assembly:
bioassembly... | def generate_bio_assembly(data_api, struct_inflator):
"""Generate the bioassembly data.
:param data_api the interface to the decoded data
:param struct_inflator the interface to put the data into the client object"""
bioassembly_count = 0
for bioassembly in data_api.bio_assembly:
bioassembly... | [
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train | add_inter_group_bonds | Generate inter group bonds.
Bond indices are specified within the whole structure and start at 0.
:param data_api the interface to the decoded data
:param struct_inflator the interface to put the data into the client object | mmtf/utils/decoder_utils.py | def add_inter_group_bonds(data_api, struct_inflator):
""" Generate inter group bonds.
Bond indices are specified within the whole structure and start at 0.
:param data_api the interface to the decoded data
:param struct_inflator the interface to put the data into the client object"""
for i in range(len(d... | def add_inter_group_bonds(data_api, struct_inflator):
""" Generate inter group bonds.
Bond indices are specified within the whole structure and start at 0.
:param data_api the interface to the decoded data
:param struct_inflator the interface to put the data into the client object"""
for i in range(len(d... | [
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train | add_header_info | Add ancilliary header information to the structure.
:param data_api the interface to the decoded data
:param struct_inflator the interface to put the data into the client object | mmtf/utils/decoder_utils.py | def add_header_info(data_api, struct_inflator):
""" Add ancilliary header information to the structure.
:param data_api the interface to the decoded data
:param struct_inflator the interface to put the data into the client object
"""
struct_inflator.set_header_info(data_api.r_free,
... | def add_header_info(data_api, struct_inflator):
""" Add ancilliary header information to the structure.
:param data_api the interface to the decoded data
:param struct_inflator the interface to put the data into the client object
"""
struct_inflator.set_header_info(data_api.r_free,
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train | add_xtalographic_info | Add the crystallographic data to the structure.
:param data_api the interface to the decoded data
:param struct_inflator the interface to put the data into the client object | mmtf/utils/decoder_utils.py | def add_xtalographic_info(data_api, struct_inflator):
""" Add the crystallographic data to the structure.
:param data_api the interface to the decoded data
:param struct_inflator the interface to put the data into the client object"""
if data_api.unit_cell == None and data_api.space_group is not None:
... | def add_xtalographic_info(data_api, struct_inflator):
""" Add the crystallographic data to the structure.
:param data_api the interface to the decoded data
:param struct_inflator the interface to put the data into the client object"""
if data_api.unit_cell == None and data_api.space_group is not None:
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... | 899bb877ca1b32a9396803d38c5bf38a2520754e |
train | add_entity_info | Add the entity info to the structure.
:param data_api the interface to the decoded data
:param struct_inflator the interface to put the data into the client object | mmtf/utils/decoder_utils.py | def add_entity_info( data_api, struct_inflator):
"""Add the entity info to the structure.
:param data_api the interface to the decoded data
:param struct_inflator the interface to put the data into the client object
"""
for entity in data_api.entity_list:
struct_inflator.set_entity_info(enti... | def add_entity_info( data_api, struct_inflator):
"""Add the entity info to the structure.
:param data_api the interface to the decoded data
:param struct_inflator the interface to put the data into the client object
"""
for entity in data_api.entity_list:
struct_inflator.set_entity_info(enti... | [
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... | 899bb877ca1b32a9396803d38c5bf38a2520754e |
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