yes-man-today commited on
Commit
db36a72
1 Parent(s): cf669b7
Files changed (1) hide show
  1. regulatory_comments_api.py +80 -47
regulatory_comments_api.py CHANGED
@@ -176,62 +176,95 @@ class RegCommentsAPI(datasets.GeneratorBasedBuilder):
176
  datasets.SplitGenerator(
177
  name=datasets.Split.TRAIN,
178
  gen_kwargs={
179
- "search_terms": opioid_related_terms,
180
  "api_key": api_key, # Pass the API key to the generator function
181
  },
182
  ),
183
  ]
184
 
185
-
186
- def _generate_examples(self, search_terms, api_key):
187
  # Iterate over each search term to fetch relevant dockets
188
- for term in search_terms:
189
- docket_ids = get_docket_ids(term, api_key) # Pass the API key here
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
190
 
191
- for docket_id in docket_ids:
192
  fetcher = RegulationsDataFetcher(docket_id, api_key) # Initialize with the API key
193
  docket_data = fetcher.collect_data()
194
  if len(docket_data["comments"]) != 0:
195
  yield docket_id, docket_data
196
-
197
- # Modify the get_docket_ids function to accept an API key
198
- def get_docket_ids(search_term, api_key):
199
- url = f"https://api.regulations.gov/v4/dockets"
200
- params = {
201
- 'filter[searchTerm]': search_term,
202
- 'api_key': api_key
203
- }
204
- response = requests.get(url, params=params)
205
- if response.status_code == 200:
206
- data = response.json()
207
- dockets = data['data']
208
- docket_ids = [docket['id'] for docket in dockets]
209
- return docket_ids
210
- else:
211
- return f"Error: {response.status_code}"
212
 
213
- opioid_related_terms = [
214
- # Types of Opioids
215
- "opioids",
216
- "heroin",
217
- "morphine",
218
- "fentanyl",
219
- "methadone",
220
- "oxycodone",
221
- "hydrocodone",
222
- "codeine",
223
- "tramadol",
224
- "prescription opioids",
225
- # Withdrawal Support
226
- "lofexidine",
227
- "buprenorphine",
228
- "naloxone",
229
- # Related Phrases
230
- "opioid epidemic",
231
- "opioid abuse",
232
- "opioid crisis",
233
- "opioid overdose"
234
- "opioid tolerance",
235
- "opioid treatment program",
236
- "medication assisted treatment",
237
- ]
 
176
  datasets.SplitGenerator(
177
  name=datasets.Split.TRAIN,
178
  gen_kwargs={
 
179
  "api_key": api_key, # Pass the API key to the generator function
180
  },
181
  ),
182
  ]
183
 
184
+ def _generate_examples(self, api_key):
 
185
  # Iterate over each search term to fetch relevant dockets
186
+ dockets = ['FDA-2000-P-0565', 'FDA-1995-P-0018', 'FDA-2010-P-0338',
187
+ 'FDA-2017-N-2903', 'FDA-1976-N-0517', 'CDC-2008-0002',
188
+ 'DEA-2017-0006', 'DEA-2017-0004', 'DEA-2023-0028',
189
+ 'DEA-2007-0060', 'FDA-2005-P-0191', 'CDC-2017-0057',
190
+ 'FDA-2003-P-0115', 'FDA-2012-P-1028', 'FDA-1989-P-0003',
191
+ 'FDA-2009-P-0415', 'FDA-2007-P-0352', 'FDA-2007-P-0124',
192
+ 'FDA-2009-P-0459', 'FDA-2014-P-2168', 'FDA-2014-N-0233',
193
+ 'FDA-2002-P-0291', 'DOD-2012-HA-0117', 'FDA-2015-P-1004',
194
+ 'DEA-2016-0005', 'FDA-2002-P-0049', 'FDA-2008-P-0327',
195
+ 'FDA-2022-D-1847', 'FDA-2015-P-2344', 'FDA-2009-P-0429',
196
+ 'FDA-2012-P-0053', 'FDA-2009-P-0289', 'DEA-2023-0106',
197
+ 'FDA-1986-P-0002', 'CMS-2019-0090', 'FDA-2018-D-1334',
198
+ 'FDA-1975-N-0003', 'FDA-2019-N-5973', 'FDA-2004-P-0101',
199
+ 'FDA-2023-N-0148', 'FDA-2000-P-0580', 'FDA-2007-P-0128',
200
+ 'FDA-2017-N-5608', 'FDA-1994-P-0014', 'DEA-2016-0018',
201
+ 'FDA-2017-P-6918', 'DOD-2013-HA-0085', 'FDA-2003-P-0270',
202
+ 'FDA-2011-P-0869', 'FDA-2010-P-0593', 'FDA-2012-P-1251',
203
+ 'DEA-2014-0005', 'FDA-1994-P-0003', 'FDA-2021-P-0514',
204
+ 'FDA-1987-P-0026', 'FDA-2013-N-1485', 'FDA-1993-N-0363',
205
+ 'FDA-2017-P-0428', 'SAMHSA-2023-0001', 'FDA-2012-P-1180',
206
+ 'FDA-2019-P-5268', 'DEA-2017-0011', 'FDA-2016-P-3912',
207
+ 'DOD-2015-HA-0109', 'FDA-2022-P-1863', 'FDA-2011-N-0802',
208
+ 'FDA-1996-P-0154', 'FDA-2021-N-0951', 'DEA-2015-0009',
209
+ 'FDA-2022-N-2393', 'FDA-2019-P-1783', 'FDA-2017-N-1094',
210
+ 'CDC-2018-0085', 'FDA-2005-P-0327', 'FDA-2014-P-2058',
211
+ 'DEA-2020-0031', 'FDA-2018-P-3355', 'FDA-2003-P-0183',
212
+ 'FDA-2002-P-0167', 'DOD-2015-OS-0118', 'FDA-2008-P-0401',
213
+ 'FDA-2013-P-1606', 'ONDCP_FRDOC_0001', 'FDA-1998-P-0018',
214
+ 'FDA-2008-P-0366', 'FDA-2013-D-0045', 'FDA-2013-P-1055',
215
+ 'FDA-2017-N-4515', 'FDA-1982-N-0046', 'FDA-2018-P-0673',
216
+ 'FDA-2012-P-0818', 'FDA-2019-P-1643', 'FDA-2004-P-0098',
217
+ 'FDA-2008-P-0127', 'FDA-2004-P-0096', 'DEA-2019-0014',
218
+ 'FDA-2019-N-0299', 'FDA-1994-P-0021', 'FDA-2021-N-0275',
219
+ 'CDC-2017-0043', 'SAMHSA-2016-0001', 'VA-2020-VHA-0023',
220
+ 'CNCS-2021-0018', 'FDA-2005-P-0054', 'DEA-2017-0005',
221
+ 'FDA-2019-P-5593', 'FDA-1997-P-0036', 'FDA-2002-P-0051',
222
+ 'SAMHSA-2016-0004', 'FDA-2016-D-0785', 'FDA-2020-N-1561',
223
+ 'SAMHSA-2022-0001', 'DEA-2018-0015', 'FDA-2010-P-0082',
224
+ 'FDA-2023-P-2656', 'FDA-2004-P-0085', 'FDA-2007-P-0415',
225
+ 'DEA-2017-0013', 'DEA-2018-0004', 'FDA-2005-P-0058',
226
+ 'FDA-2002-N-0320', 'FDA-2014-P-0752', 'FDA-2002-P-0219',
227
+ 'DEA-2013-0010', 'FDA-2003-N-0396', 'FDA-2005-P-0425',
228
+ 'CMS-2020-0060', 'FRA-2019-0071', 'FDA-2013-N-0883',
229
+ 'FDA-2009-P-0154', 'HHS-OS-2009-0007', 'CDC-2020-0001',
230
+ 'FDA-2012-P-0189', 'DEA-2023-0058', 'FDA-2017-P-1911',
231
+ 'DOD-2011-HA-0085', 'FDA-2017-P-6307', 'FDA-2004-P-0162',
232
+ 'FDA-2001-P-0056', 'FDA-2013-P-0675', 'FDA-1993-P-0018',
233
+ 'FDA-2017-P-5370', 'FDA-2012-N-0548', 'FDA-2012-N-0563',
234
+ 'FDA-2009-P-0388', 'FDA-2001-P-0416', 'FDA-2005-N-0093',
235
+ 'FDA-2002-P-0003', 'FDA-2016-P-1875', 'FDA-1987-P-0012',
236
+ 'FDA-2004-P-0216', 'FDA-2007-P-0065', 'FDA-2015-P-0516',
237
+ 'FDA-2023-N-3159', 'FDA-2008-P-0156', 'FDA-2021-P-0036',
238
+ 'FDA-1995-P-0100', 'FDA-2012-P-1034', 'DEA-2018-0002',
239
+ 'FDA-2015-P-1153', 'FDA-1995-P-0004', 'FDA-1985-P-0014',
240
+ 'FDA-2016-P-1090', 'FDA-1977-N-0411', 'FDA-2009-P-0325',
241
+ 'FDA-2005-P-0440', 'FDA-2019-P-1679', 'FDA-2011-P-0045',
242
+ 'DEA-2020-0034', 'DOD-2015-HA-0062', 'FDA-2018-P-1448',
243
+ 'FDA-2009-P-0446', 'FDA-2006-P-0279', 'FDA-2013-P-0995',
244
+ 'CMS-2022-0191', 'FDA-2009-P-0227', 'FDA-2005-P-0009',
245
+ 'USCBP-2013-0002', 'HHS-ASPE-2016-0011', 'FDA-2011-P-0302',
246
+ 'FDA-2003-P-0185', 'FDA-2012-E-0152', 'FDA-1994-P-0016',
247
+ 'FDA-2016-N-2648', 'CMS-2019-0111', 'FDA-2022-N-2673',
248
+ 'FDA-1988-P-0026', 'FDA-1999-P-3513', 'DOT-OST-2016-0189',
249
+ 'FDA-2017-P-0663', 'FDA-2003-P-0276', 'FDA-2006-P-0329',
250
+ 'FDA-2016-P-4094', 'FDA-1993-P-0041', 'FDA-2005-P-0325',
251
+ 'DEA-2020-0002', 'FDA-2007-E-0400', 'FDA-2002-P-0050',
252
+ 'VA-2017-VHA-0004', 'FDA-2000-P-0024', 'FDA-2002-P-0528',
253
+ 'FDA-2009-P-0252', 'FDA-2017-D-2497', 'CNCS-2021-0011',
254
+ 'FDA-2006-P-0148', 'DEA-2008-0012', 'FDA-2018-N-3685',
255
+ 'FDA-2023-P-4223', 'FDA-2014-P-1383', 'ONDCP-2020-0001',
256
+ 'FDA-2008-P-0134', 'FDA-2007-P-0245', 'FDA-2013-P-1711',
257
+ 'FDA-2016-P-1650', 'FDA-2019-P-1364', 'FDA-2015-P-1003',
258
+ 'FDA-2007-N-0438', 'FDA-1985-P-0002', 'FDA-2007-P-0062',
259
+ 'SAMHSA-2022-0002', 'FDA-2006-P-0016', 'FDA-2010-P-0012',
260
+ 'FDA-2006-P-0278', 'FDA-1981-N-0248', 'CMS-2021-0167',
261
+ 'FDA-2015-P-1752', 'FDA-2005-P-0055', 'FDA-2004-P-0473',
262
+ 'FDA-2001-P-0191', 'FDA-1986-P-0034']
263
 
264
+ for docket_id in dockets:
265
  fetcher = RegulationsDataFetcher(docket_id, api_key) # Initialize with the API key
266
  docket_data = fetcher.collect_data()
267
  if len(docket_data["comments"]) != 0:
268
  yield docket_id, docket_data
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
269
 
270
+