This repository has been archived by the owner on Mar 10, 2018. It is now read-only.
forked from fecgov/openFEC
/
manage.py
executable file
·388 lines (321 loc) · 13.7 KB
/
manage.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
#!/usr/bin/env python
import os
import glob
import logging
import shlex
import subprocess
import multiprocessing
import networkx as nx
import sqlalchemy as sa
from flask_script import Server
from flask_script import Manager
from webservices import flow, partition
from webservices.env import env
from webservices.rest import app, db
from webservices.config import SQL_CONFIG, check_config
from webservices.common.util import get_full_path
import webservices.legal_docs as legal_docs
from webservices.utils import post_to_slack
manager = Manager(app)
logger = logging.getLogger('manager')
# The Flask app server should only be used for local testing, so we default to
# using debug mode and auto-reload. To disable debug mode locally, pass the
# --no-debug flag to `runserver`.
manager.add_command('runserver', Server(use_debugger=True, use_reloader=True))
manager.command(legal_docs.delete_advisory_opinions_from_es)
manager.command(legal_docs.delete_murs_from_es)
manager.command(legal_docs.delete_murs_from_s3)
manager.command(legal_docs.index_regulations)
manager.command(legal_docs.index_statutes)
manager.command(legal_docs.load_archived_murs)
manager.command(legal_docs.load_advisory_opinions)
manager.command(legal_docs.load_current_murs)
manager.command(legal_docs.create_docs_index)
manager.command(legal_docs.create_archived_murs_index)
manager.command(legal_docs.create_staging_index)
manager.command(legal_docs.restore_from_staging_index)
manager.command(legal_docs.delete_docs_index)
manager.command(legal_docs.move_archived_murs)
manager.command(legal_docs.initialize_current_legal_docs)
manager.command(legal_docs.refresh_current_legal_docs_zero_downtime)
def get_projected_weekly_itemized_totals(schedules):
"""Calculates the weekly total of itemized records that should have been
processed at the point when the weekly aggregate rebuild takes place.
"""
projected_weekly_totals = {}
for schedule in schedules:
cmd = 'select get_projected_weekly_itemized_total(\'{0}\');'.format(schedule)
result = db.engine.execute(cmd)
projected_weekly_totals[schedule] = result.scalar()
return projected_weekly_totals
def get_actual_weekly_itemized_totals(schedules):
"""Retrieves the actual weekly total of itemized records that have been
processed at the time of the weekly aggregate rebuild.
"""
actual_weekly_totals = {}
for schedule in schedules:
cmd = 'select count(*) from ofec_sched_{0}_master where pg_date > current_date - interval \'7 days\';'.format(
schedule)
result = db.engine.execute(cmd)
actual_weekly_totals[schedule] = result.scalar()
return actual_weekly_totals
def execute_sql_file(path):
"""This helper is typically used within a multiprocessing pool; create a new database
engine for each job.
"""
db.engine.dispose()
logger.info(('Running {}'.format(path)))
with open(path) as fp:
cmd = '\n'.join([
line for line in fp.readlines()
if not line.strip().startswith('--')
])
db.engine.execute(sa.text(cmd), **SQL_CONFIG)
def execute_sql_folder(path, processes):
sql_dir = get_full_path(path)
if not sql_dir.endswith('/'):
sql_dir += '/'
paths = sorted(glob.glob(sql_dir + '*.sql'))
if processes > 1:
pool = multiprocessing.Pool(processes=processes)
pool.map(execute_sql_file, sorted(paths))
else:
for path in paths:
execute_sql_file(path)
@manager.command
def load_nicknames():
"""For improved search when candidates have a name that doesn't appear on their form.
Additional nicknames can be added to the csv for improved search.
"""
logger.info('Loading nicknames...')
import pandas as pd
import sqlalchemy as sa
try:
table = sa.Table(
'ofec_nicknames',
db.metadata,
autoload_with=db.engine
)
db.engine.execute(table.delete())
except sa.exc.NoSuchTableError:
pass
load_table(
pd.read_csv('data/nicknames.csv'),
'ofec_nicknames',
if_exists='append'
)
logger.info('Finished loading nicknames.')
@manager.command
def load_pacronyms():
"""For improved search of organizations that go by acronyms
"""
logger.info('Loading pacronyms...')
import pandas as pd
import sqlalchemy as sa
try:
table = sa.Table(
'ofec_pacronyms',
db.metadata,
autoload_with=db.engine
)
db.engine.execute(table.delete())
except sa.exc.NoSuchTableError:
pass
load_table(
pd.read_excel('data/pacronyms.xlsx'),
'ofec_pacronyms',
if_exists='append'
)
logger.info('Finished loading pacronyms.')
def load_table(frame, tablename, if_exists='replace', indexes=()):
import sqlalchemy as sa
frame.to_sql(tablename, db.engine, if_exists=if_exists)
table = sa.Table(tablename, db.metadata, autoload_with=db.engine)
for index in indexes:
sa.Index('{}_{}_idx'.format(tablename, index), table.c[index]).create(db.engine)
@manager.command
def build_districts():
"""This creats the zipcode mapping for Congress based on data that is save as csvs.
"""
import pandas as pd
load_table(pd.read_csv('data/fips_states.csv'), 'ofec_fips_states')
load_table(pd.read_csv('data/natl_zccd_delim.csv'), 'ofec_zips_districts', indexes=('ZCTA', ))
@manager.command
def load_election_dates():
""" This is from before we had direct access to election data and needed it, we are still using the
data from a csv, to populate the ElectionClassDate model.
"""
logger.info('Loading election dates...')
import pandas as pd
frame = pd.read_excel('data/election_dates.xlsx')
frame.columns = [column.lower() for column in frame.columns]
load_table(
frame, 'ofec_election_dates',
indexes=('office', 'state', 'district', 'election_yr', 'senate_class'),
)
logger.info('Finished loading election dates.')
@manager.command
def refresh_itemized():
"""These are run nightly to refresh the itemized schedule A and B data."""
refresh_itemized_a()
refresh_itemized_b()
rebuild_itemized_e()
logger.info('Finished updating incremental aggregates.')
@manager.command
def refresh_itemized_a():
"""Used to refresh the itemized Schedule A data."""
logger.info('Updating Schedule A...')
message = partition.SchedAGroup.process_queues()
if message[0] == 0:
logger.info(message[1])
else:
logger.error(message[1])
logger.info('Finished updating Schedule A.')
@manager.command
def refresh_itemized_b():
"""Used to refresh the itemized Schedule B data."""
logger.info('Updating Schedule B...')
message = partition.SchedBGroup.process_queues()
if message[0] == 0:
logger.info(message[1])
else:
logger.error(message[1])
logger.info('Finished updating Schedule B.')
@manager.command
def rebuild_itemized_e():
"""Used to rebuild the itemized Schedule E data."""
logger.info('Rebuilding Schedule E...')
execute_sql_file('data/refresh/rebuild_schedule_e.sql')
logger.info('Finished rebuilding Schedule E.')
@manager.command
def add_itemized_partition_cycle(cycle=None, amount=1):
"""Adds a new itemized cycle child table.
By default this will try to add just the current cycle to all partitioned
itemized schedule tables if it doesn't already exist.
If the child table already exists, skip over it.
"""
amount = int(amount)
if not cycle:
cycle = SQL_CONFIG['CYCLE_END_YEAR_ITEMIZED']
else:
cycle = int(cycle)
logger.info('Adding Schedule A and B cycles...')
try:
with db.engine.begin() as connection:
connection.execute(
sa.text('SELECT add_partition_cycles(:start_year, :count)').execution_options(
autocommit=True
),
start_year=cycle,
count=amount
)
logger.info('Finished adding Schedule A and B cycles.')
except Exception:
logger.exception("Failed to add partition cycles")
@manager.command
def refresh_materialized(concurrent=True):
"""Refresh materialized views in dependency order
We usually want to refresh them concurrently so that we don't block other
connections that use the DB. In the case of tests, we cannot refresh concurrently as the
tables are not initially populated.
"""
logger.info('Refreshing materialized views...')
materialized_view_names = {
'filing_amendments_house_senate': ['ofec_house_senate_paper_amendments_mv'],
'sched_f': ['ofec_sched_f_mv'],
'reports_ie': ['ofec_reports_ie_only_mv'], # Anomale
'electioneering_by_candidate': ['ofec_electioneering_aggregate_candidate_mv'],
'candidate_history': ['ofec_candidate_history_mv'],
'candidate_detail': ['ofec_candidate_detail_mv'],
'candidate_election': ['ofec_candidate_election_mv'],
'candidate_history_latest': ['ofec_candidate_history_latest_mv'],
'election_outcome': ['ofec_election_result_mv'],
'sched_e_by_candidate': ['ofec_sched_e_aggregate_candidate_mv'],
'filing_amendments_presidential': ['ofec_presidential_paper_amendments_mv'],
'filing_amendments_pac_party': ['ofec_pac_party_paper_amendments_mv'],
'cand_cmte_linkage': ['ofec_cand_cmte_linkage_mv'],
'communication_cost_by_candidate': ['ofec_communication_cost_aggregate_candidate_mv'],
'electioneering': ['ofec_electioneering_mv'],
'filing_amendments_all': ['ofec_amendments_mv'],
'reports_house_senate': ['ofec_reports_house_senate_mv'],
'reports_pac_party': ['ofec_reports_pacs_parties_mv'],
'reports_presidential': ['ofec_reports_presidential_mv'],
'committee_history': ['ofec_committee_history_mv'],
'communication_cost': ['ofec_communication_cost_mv'],
'filings': ['ofec_filings_amendments_all_mv', 'ofec_filings_mv', 'ofec_filings_all_mv'],
'totals_combined': ['ofec_totals_combined_mv'],
'totals_ie': ['ofec_totals_ie_only_mv'],
'totals_house_senate': ['ofec_totals_house_senate_mv'],
'totals_presidential': ['ofec_totals_presidential_mv'],
'candidate_aggregates': ['ofec_candidate_totals_mv'],
'candidate_flags': ['ofec_candidate_flag_mv'],
'sched_c': ['ofec_sched_c_mv'],
'sched_a_by_state_recipient_totals': ['ofec_sched_a_aggregate_state_recipient_totals_mv'],
'rad_analyst': ['ofec_rad_mv'],
'committee_detail': ['ofec_committee_detail_mv'],
'committee_fulltext': ['ofec_committee_fulltext_mv'],
'sched_a_by_size_merged': ['ofec_sched_a_aggregate_size_merged_mv'],
'totals_pac_party': ['ofec_totals_pacs_parties_mv', 'ofec_totals_pacs_mv', 'ofec_totals_parties_mv'],
'large_aggregates': ['ofec_entity_chart_mv'],
'candidate_fulltext': ['ofec_candidate_fulltext_mv'],
'totals_candidate_committee': ['ofec_totals_candidate_committees_mv'],
'audit_case': ['ofec_audit_case_mv', 'ofec_audit_case_category_rel_mv', 'ofec_audit_case_sub_category_rel_mv', 'ofec_committee_fulltext_audit_mv', 'ofec_candidate_fulltext_audit_mv'],
'elections_list': ['ofec_elections_list_mv']
}
graph = flow.get_graph()
with db.engine.begin() as connection:
for node in nx.topological_sort(graph):
materialized_views = materialized_view_names.get(node, None)
if materialized_views:
for mv in materialized_views:
logger.info('Refreshing %s', mv)
if concurrent:
refresh_command = 'REFRESH MATERIALIZED VIEW CONCURRENTLY {}'.format(mv)
else:
refresh_command = 'REFRESH MATERIALIZED VIEW {}'.format(mv)
connection.execute(
sa.text(refresh_command).execution_options(
autocommit=True
)
)
else:
logger.error('Error refreshing node %s: not found.'.format(node))
logger.info('Finished refreshing materialized views.')
@manager.command
def cf_startup():
"""Migrate schemas on `cf push`."""
check_config()
if env.index == '0':
subprocess.Popen(['python', 'manage.py', 'refresh_materialized'])
@manager.command
def load_efile_sheets():
"""Run this management command if there are changes to incoming efiling data structures.
It will make the json mapping from the spreadsheets you provide it
"""
import pandas as pd
sheet_map = {4: 'efile_guide_f3', 5: 'efile_guide_f3p', 6: 'efile_guide_f3x'}
for i in range(4, 7):
table = sheet_map.get(i)
df = pd.read_excel(
# /Users/jonathancarmack/Documents/repos/openFEC
io="data/real_efile_to_form_line_numbers.xlsx",
#index_col="summary line number",
sheetname=i,
skiprows=7,
)
df = df.fillna(value="N/A")
df = df.rename(columns={'fecp column name (column a value)': 'fecp_col_a',
'fecp column name (column b value)': 'fecp_col_b',
})
form_column = table.split('_')[2] + " line number"
columns_to_drop = ['summary line number', form_column, 'Unnamed: 5']
df.drop(columns_to_drop, axis=1, inplace=True)
df.to_json(path_or_buf="data/" + table + ".json", orient='values')
@manager.command
def slack_message(message):
""" Sends a message to the bots channel. you can add this command to ping you when a task is done, etc.
run ./manage.py slack_message 'The message you want to post'
"""
post_to_slack(message, '#bots')
if __name__ == '__main__':
manager.run()