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288 lines
9.4 KiB
Python
288 lines
9.4 KiB
Python
from collections import namedtuple
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from copy import copy
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from datetime import datetime
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from ensurepip import version
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from bs4 import BeautifulSoup
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import abc
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import textprocessing as tp #cuz tp is important
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#requires Python 3.10
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###CLASSES AND CONSTRUCTORS
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TagDatePair = namedtuple("TagDatePair", ["tag","date"])
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TagTextPair = namedtuple("TagTextPair", ["tag","text"])
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#superclasses
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class VersionData():
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"""
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This class holds two types of data:
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- Data with a 1-to-1 relationship with the trial/version pair.
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- Data with a child relationship with the trial/version pair.
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This initializes with None attributes, and implements setter
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methods to load them (just to double check types)
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That way I can just pass around the VersionData instance
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and add data as I go.
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It will also implement the ability to load the data to the database
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"""
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def __init__(self,nct_id,version_id):
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#identifiers
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self.nct_id = nct_id
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self.version_id = version_id
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#Study Status
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self._primary_completion_date = None
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self._primary_completion_date_category = None
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self._completion_date = None
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self._completion_date_category = None
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self._overall_status = None
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#Study Design
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self._enrollment = None
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self._enrollment_category = None
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#Sponsors and Collaborators
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self._sponsor = None
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#self._sponsor_category = None #I don't believe this is included in the raw data
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self._responsible_party = None
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#self._responsible_party_category = None #I don't believe this is included in the raw data
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#self._collaborators = None #currently going to ignore as I've not fount it in AACT
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def extract_study_statuses(study_status_form, version_a,version_b):
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"""
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This extracts data from a study_status form and returns one or two
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StudyStatusData objects,
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"""
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#get rows
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rows = study_status_form.table.tbody.find_all("tr")
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#iterate through rows,
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for trow in rows:
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#matching on rowLabels
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#print(trow.__str__()[:80])
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match tr_to_td(trow):
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case ["Primary Completion:" as row_label, tag]:
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old,new = split_by_version(tag)
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tagdate1 = extract_date_and_tag(old.text,date_MMMM_YYYY)
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version_a._primary_completion_date = tagdate1.date
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version_a._primary_completion_date_category = tagdate1.tag
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tagdate2 = extract_date_and_tag(new.text,date_MMMM_YYYY)
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version_b._primary_completion_date = tagdate2.date
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version_b._primary_completion_date_category = tagdate2.tag
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case ["Study Completion:" as row_label, tag]:
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old,new = split_by_version(tag)
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tagdate1 = extract_date_and_tag(old.text,date_MMMM_YYYY)
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version_a._completion_date = tagdate1.date
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version_a._completion_date_category = tagdate1.tag
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tagdate2 = extract_date_and_tag(new.text,date_MMMM_YYYY)
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version_b._completion_date = tagdate2.date
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version_b._completion_date_category = tagdate2.tag
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case ["Overall Status:" as row_label, tag]:
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old,new = split_by_version(tag)
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version_a._overall_status = old.text
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version_b._overall_status = new.text
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def extract_study_design(study_status_form, version_a,version_b):
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"""
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This extracts data from a study_status form and returns one or two
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StudyStatusData objects,
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"""
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#get rows
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rows = study_status_form.table.tbody.find_all("tr")
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#iterate through rows,
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for trow in rows:
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#matching on rowLabels
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#print(trow.__str__()[:80])
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match tr_to_td(trow):
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case ["Enrollment:" as row_label, tag]:
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old,new = split_by_version(tag)
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tagdate1 = extract_text_and_tag(old.text)
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version_a._enrollment = tagdate1.text
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version_a._enrollment_category = tagdate1.tag
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tagdate2 = extract_text_and_tag(new.text)
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version_b._enrollment = tagdate2.text
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version_b._enrollment_category = tagdate2.tag
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def extract_sponsor_data(study_status_form, version_a,version_b):
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"""
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This extracts data from a study_status form and returns one or two
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StudyStatusData objects,
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"""
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#get rows
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rows = study_status_form.table.tbody.find_all("tr")
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#iterate through rows,
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for trow in rows:
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#matching on rowLabels
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#print(trow.__str__()[:80])
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match tr_to_td(trow):
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case ["Sponsor:" as row_label, tag]:
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old, new = split_by_version(tag)
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version_a._sponsor = old.text
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version_b._sponsor = new.text
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case ["Responsible Party:" as row_label, tag]:
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old, new = split_by_version(tag)
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version_a._responsible_party = old.text
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version_b._responsible_party = new.text
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case ["Collaborators:" as row_label, tag]:
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#old, new = split_by_version(tag)
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#TODO: find a trial with multiple collaborators and figure out how to identify/count them:w
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# So far can't figure out where this is in AACT, so I'm going to ignore it.
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pass
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def split_by_version(tag):
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#clone elements and remove sub-tags that are not needed.
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old = copy(tag)
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for span in old.find_all(class_="add_hilite"):
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span.extract()
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new = copy(tag)
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for span in new.find_all(class_="drop_hilite"):
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span.extract()
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return old,new
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def extract_date_and_tag(text, date_format):
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"""
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Extracts a datetype according to the date format
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and the estimate tag based on
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"""
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#FIX: Currently, there are multiple (mixed) data formats in use
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#Theses can exist in the same data field, in two different versions
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#so instead of using a single (passed) data format, I need to
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#select between various data formats.
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text = text.strip()
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#handle various empty cases
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if not text or text == '':
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return TagDatePair(None, None)
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date_split = text.split("[")
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if len(date_split) > 1:
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estimate_tag = date_split[1].split("]")[0].strip()
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else:
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estimate_tag = None
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date_object = datetime.strptime(date_split[0].strip(), date_format)
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return TagDatePair(estimate_tag, date_object)
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def extract_text_and_tag(text):
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"""
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Extracts a datetype according to the date format
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and the estimate tag based on
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"""
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text = text.strip()
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#handle various empty cases
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if not text or text == '':
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return TagDatePair(None, None)
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date_split = text.split("[")
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if len(date_split) > 1:
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estimate_tag = date_split[1].split("]")[0].strip()
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else:
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estimate_tag = None
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text_object = date_split[0].strip()
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return TagTextPair(estimate_tag, text_object)
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### FUNCTIONS
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def tr_to_td(tr) -> tuple[str, str]:
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"""
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Takes an html data row of interest, extracts the record_name from the first <td>, and the data from the second <td>.
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For the data, it just extracts the text.
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The text itself then needs processed separately, based on what it should contain.
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"""
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#get list of cells
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td_list = tr.find_all("td")
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if len(td_list) == 2:
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return td_list[0].text, td_list[1]
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else:
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return None, None
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def get_forms(soup,version_a,version_b):
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#extract all forms
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for form in soup.body.find_all("form"):
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#Match forms against ID types
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if not "id" in form.attrs:
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continue
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match form.attrs["id"]:
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case "form_StudyStatus":
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extract_study_statuses(form,version_a,version_b)
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case "form_SponsorCollaborators":
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extract_sponsor_data(form, version_a, version_b)
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case "form_Oversight":
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pass
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case "form_StudyDescription":
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pass
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case "form_Conditions":
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pass
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case "form_StudyDesign":
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extract_study_design(form,version_a,version_b)
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case "form_ArmsandInterventions":
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pass
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case "form_ProtocolOutcomeMeasures":
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pass
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case "form_Eligibility":
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pass
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case "form_ContactsLocations":
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pass
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case "form_IPDSharing":
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pass
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case "form_References":
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pass
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case "form_ParticipantFlow":
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pass
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case "form_BaselineCharacteristics":
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pass
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case "form_ROutcomeMeasures":
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pass
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case "form_AdverseEvents":
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pass
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case "form_LimitationsandCaveats":
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pass
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case "form_MoreInformation":
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pass
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case _:
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print(form.attrs["id"])
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### CONSTANTS
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date_MMMM_YYYY = "%B %Y"
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date_MMMM_DD_YYYY = "%B %d, %Y"
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if __name__ == "__main__":
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for file in ["./NCT00658567.html", "./NCT01303796.html"]:
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with open(file) as fh:
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soup = BeautifulSoup(fh, "lxml")
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version1 = VersionData("NCT00658567",1)
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version2 = VersionData("NCT00658567",2)
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get_forms(soup, version1, version2)
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print(version1.__dict__) #order messed up somewhere:w
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print(version2.__dict__) #order messed up somewhere:w
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