def _split_tables_no_empties(self, table, no_overwrite_on_empty,
set_only_columns):
table_groups = {}
# uploading combo of user_id and email column should be mutually exclusive
blank_columns_test = table.columns
if not no_overwrite_on_empty:
blank_columns_test = (set(['user_id', 'email'] +
(set_only_columns or [])).intersection(
table.columns))
for row in table:
blanks = tuple(k for k in blank_columns_test
if row.get(k) in (None, ''))
grp = table_groups.setdefault(blanks, [])
grp.append(row)
results = []
for blanks, subset in table_groups.items():
subset_table = Table(subset)
if blanks:
subset_table.table = subset_table.table.cutout(*blanks)
logger.debug(f'Column Upload Blanks: {blanks}')
logger.debug(f'Column Upload Columns: {subset_table.columns}')
if not set(['user_id', 'email']).intersection(
subset_table.columns):
logger.warning(
f'Upload will fail without user_id or email. '
f'Rows: {subset_table.num_rows}, Columns: {subset_table.columns}'
)
results.append(subset_table)
return results
def _split_tables_no_empties(self, table):
table_groups = {}
for row in table:
blanks = tuple(k for k in table.columns
if row.get(k) in (None, ''))
grp = table_groups.setdefault(blanks, [])
grp.append(row)
results = []
for blanks, subset in table_groups.items():
subset_table = Table(subset)
if blanks:
subset_table.table = subset_table.table.cutout(*blanks)
results.append(subset_table)
return results
def get_events_organization(self, organization_id=None, updated_since=None, timeslot_start=None,
timeslot_end=None, timeslots_table=False, max_timeslots=None):
"""
Fetch all public events for an organization. This includes both events owned
by the organization (as indicated by the organization field on the event object)
and events of other organizations promoted by this specified organization.
.. note::
API Key Required
`Args:`
organization_id: list or int
Filter events by a single or multiple organization ids
updated_since: str
Filter to events updated since given date (ISO Date)
timeslot_start: str
Filter by a timeslot start of events using ``>``,``>=``,``<``,``<=``
operators and ISO date (ex. ``<=2018-12-13 05:00:00PM``)
timeslot_end: str
Filter by a timeslot end of events using ``>``,``>=``,``<``,``<=``
operators and ISO date (ex. ``<=2018-12-13 05:00:00PM``)
timeslot_table: boolean
Return timeslots as a separate long table. Useful for extracting
to databases.
zipcode: str
Filter by a Events' Locations' postal code. If present, returns Events
sorted by distance from zipcode. If present, virtual events will not be returned.
max_dist: str
Filter Events' Locations' distance from provided zipcode.
visibility: str
Either `PUBLIC` or `PRIVATE`. Private events only return if user is authenticated;
if `visibility=PRIVATE` and user doesn't have permission, no events returned.
exclude_full: bool
If `exclude_full=true`, filter out full Timeslots (and Events if all of an Event's
Timeslots are full)
is_virtual: bool
`is_virtual=false` will return only in-person events, while `is_virtual=true` will
return only virtual events. If excluded, return virtual and in-person events. Note
that providing a zipcode also implies `is_virtual=false`.
event_types:enum
The type of the event, one of: `CANVASS`, `PHONE_BANK`, `TEXT_BANK`, `MEETING`,
`COMMUNITY`, `FUNDRAISER`, `MEET_GREET`, `HOUSE_PARTY`, `VOTER_REG`, `TRAINING`,
`FRIEND_TO_FRIEND_OUTREACH`, `DEBATE_WATCH_PARTY`, `ADVOCACY_CALL`, `OTHER`.
This list may expand in the future.
max_timeslots: int
If not returning a timeslot table, will unpack time slots. If do not
set this arg, it will add a column for each time slot. The argument
limits the number of columns and discards any additional timeslots
after that.
For example: If there are 20 timeslots associated with your event,
and you set the max time slots to 5, it will only return the first 5
time slots as ``time_slot_0``, ``time_slot_1`` etc.
This is helpful in situations where you have a regular sync
running and want to ensure that the column headers remain static.
`Returns`
Parsons Table or dict or Parsons Tables
See :ref:`parsons-table` for output options.
"""
if isinstance(organization_id, (str, int)):
organization_id = [organization_id]
args = {'organization_id': organization_id,
'updated_since': date_to_timestamp(updated_since),
'timeslot_start': self._time_parse(timeslot_start),
'timeslot_end': self._time_parse(timeslot_end),
}
tbl = Table(self._request_paginate(self.uri + 'events', args=args, auth=True))
if tbl.num_rows > 0:
tbl.unpack_dict('sponsor')
tbl.unpack_dict('location', prepend=False)
tbl.unpack_dict('location', prepend=False) # Intentional duplicate
tbl.table = petl.convert(tbl.table, 'address_lines', lambda v: ' '.join(v))
if timeslots_table:
timeslots_tbl = tbl.long_table(['id'], 'timeslots', 'event_id')
return {'events': tbl, 'timeslots': timeslots_tbl}
else:
tbl.unpack_list('timeslots', replace=True, max_columns=max_timeslots)
cols = tbl.columns
for c in cols:
if re.search('timeslots', c, re.IGNORECASE) is not None:
tbl.unpack_dict(c)
return tbl
def get_events(self, organization_id=None, updated_since=None, timeslot_start=None,
timeslot_end=None, timeslots_table=False, max_timeslots=None):
"""
Fetch all public events on the platform.
`Args:`
organization_id: list or int
Filter events by a single or multiple organization ids
updated_since: str
Filter to events updated since given date (ISO Date)
timeslot_start: str
Filter by a timeslot start of events using ``>``,``>=``,``<``,``<=``
operators and ISO date (ex. ``<=2018-12-13 05:00:00PM``)
timeslot_end: str
Filter by a timeslot end of events using ``>``,``>=``,``<``,``<=``
operators and ISO date (ex. ``<=2018-12-13 05:00:00PM``)
timeslot_table: boolean
Return timeslots as a separate long table. Useful for extracting
to databases.
max_timeslots: int
If not returning a timeslot table, will unpack time slots. If do not
set this kwarg, it will add a column for each time slot. The argument
limits the number of columns and discards any additional timeslots
after that.
For example: If there are 20 timeslots associated with your event,
and you set the max time slots to 5, it will only return the first 5
time slots as ``time_slot_0``, ``time_slot_1`` etc.
This is helpful in situations where you have a regular sync
running and want to ensure that the column headers remain static.
`Returns`
Parsons Table or dict or Parsons Tables
See :ref:`parsons-table` for output options.
"""
if isinstance(organization_id, (str, int)):
organization_id = [organization_id]
args = {'organization_id': organization_id,
'updated_since': date_to_timestamp(updated_since),
'timeslot_start': self._time_parse(timeslot_start),
'timeslot_end': self._time_parse(timeslot_end)}
tbl = Table(self._request_paginate(self.uri + 'events', args=args))
if tbl.num_rows > 0:
tbl.unpack_dict('sponsor')
tbl.unpack_dict('location', prepend=False)
tbl.unpack_dict('location', prepend=False) # Intentional duplicate
tbl.table = petl.convert(tbl.table, 'address_lines', lambda v: ' '.join(v))
if timeslots_table:
timeslots_tbl = tbl.long_table(['id'], 'timeslots', 'event_id')
return {'events': tbl, 'timeslots': timeslots_tbl}
else:
tbl.unpack_list('timeslots', replace=True, max_columns=max_timeslots)
cols = tbl.columns
for c in cols:
if re.search('timeslots', c, re.IGNORECASE) is not None:
tbl.unpack_dict(c)
return tbl
