added documentation comments to classes and functions

history-download
youainti 4 years ago
parent 9623bc0550
commit 820f082e0d

@ -7,12 +7,18 @@ from bs4 import BeautifulSoup
from multiprocessing import Pool
def get_highest_version_number(response):
"""
Extract the highest version currently available from the version number.
"""
#navigate to a specific part of the returned html and extract the highest posted version.
soup = BeautifulSoup(response.text, features="lxml")
version_value = soup.findChildren("fieldset")[0].table.tbody.findChildren("tr")[-1].td.text
return int(version_value)
def make_request(nct_id,version1,version2):
"""
Request a page comparing two snapshots
"""
#create url
baseurl = "https://clinicaltrials.gov/ct2/history/{}?A={}&B={}&C=Side-by-Side"
url = baseurl.format(nct_id,version1,version2)
@ -24,6 +30,9 @@ def make_request(nct_id,version1,version2):
return response
def upload_response(db_cursor, nct_id, version_a, version_b, response):
"""
Upload a requested page (with versions) to the database.
"""
timestamp = datetime.strptime(response.headers['date'], "%a, %d %b %Y %H:%M:%S %Z")
@ -45,7 +54,12 @@ def upload_response(db_cursor, nct_id, version_a, version_b, response):
)
def download_and_handle_errors(cursor, nct_id, version_a, version_b):
"""
Request a page, checking for http error codes, and handle the errors as requested.
"""
#request page
r = make_request(nct_id, version_a, version_b)
#check for
if r.status_code == 200:
upload_response(cursor,nct_id,version_a, version_b, r)
else:
@ -59,6 +73,19 @@ def download_and_handle_errors(cursor, nct_id, version_a, version_b):
return r
def download_trial_records(nct_id, db_connection_specs):
"""
Manage the download of all records associated with a given trial.
It uses a single connection and cursor for downloading the entire trial.
The benefit of distributing the work at the trial level is that errors related
to a trial can be handled at that level.
This doesn't reserve a trial for download, but it does release the reservation.
"""
#for testing
print(nct_id)
# A new connection is created every time the function is called so that this
# function can be run using a multiprocessing pool
with db_connection_specs.new() as db_conn:
@ -96,6 +123,11 @@ def download_trial_records(nct_id, db_connection_specs):
class DBConnectionCreator():
"""
Creates new database connections based on a specified set of parameters.
This simplifies connection creation by allowing the programmer to pass
around the preconfigured connection creator.
"""
def __init__(self,dbname, user, host, port, password):
self.dbname = dbname
self.user = user
@ -113,12 +145,23 @@ class DBConnectionCreator():
)
def step_generator(max_version):
"""
Used to generate a list of versions to request
The specific pattern generated is
(3,4), (5,6), (7,8),...,(max_version-1,max_version)
"""
old=3
for i in range(4,max_version,2):
yield (old,i)
old = i + 1
def flag_trials_of_interest(db_connection):
"""
Mark the queries of interest as "of interest"
INCOMPLETE
"""
query = """
INSERT INTO http.download_status (nct_id, status)
SELECT nct_id, 'Of Interest'::http.history_download_status AS status
@ -135,9 +178,14 @@ def flag_trials_of_interest(db_connection):
start_date > '2008-01-01'
AND
completion_date < '2022-01-01'
;
;
"""
#TODO: actually send it to the database.
def reserve_trials(db_connection, limit=10):
"""
Reserves a certain number of trials for processing in the DB.
"""
query = """
WITH OF_INTEREST AS
(SELECT NCT_ID
@ -156,10 +204,12 @@ def reserve_trials(db_connection, limit=10):
nctids_list = cursor.fetchall()
nctids_list = [ x[0] for x in nctids_list]
return nctids_list
if __name__ == "__main__":
"""
Main!
"""
#instantiate a database connnection creator
dbc = DBConnectionCreator(
dbname="aact_db"
@ -168,7 +218,7 @@ if __name__ == "__main__":
,port=5432
,password="download")
#lambda that parameterizes the downloader
#lambda that parameterizes the downloader, allowing it to be passed to the pool.
def downloader(nct):
download_trial_records(nct, dbc)
@ -179,7 +229,7 @@ if __name__ == "__main__":
#get list of nct_ids
nctids = reserve_trials(con, 1)
nctids = reserve_trials(con, 4)
print(nctids)
#start analyzing them

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