#!/usr/bin/python
# -*- coding: UTF-8 -*-
# Bot Script to populate new clinical fields in Drugbox templates in Wikipedia drug articles.
# The new fields are:
# | tradename = <!-- comma separated list of tradenames -->
# | Drugs.com = <!-- link to Drugs.com monograph, e.g., "lisinopril" that links to "http://www.drugs.com/monograph/lisinopril.html" -->
# | MedlinePlus = <!-- MedlinePlus drug accession number, e.g., "a692051" that links to "http://www.nlm.nih.gov/medlineplus/druginfo/meds/a692051.html" -->
# In addition, populate KEGG_Drug_ID, ChemSpider_ID, and PubChem_Compound_ID fields if missing with data from http://www.drugbank.ca/system/downloads/current/drugbank.txt.zip
# The tradnames were obtained from http://www.merckmanuals.com/home/drugnames-index/trade/a.html
# Finally the script sorts the fields in the order they are currently rendered by the drugbox template
# (in the order of clinical, pharmacokinetic, identifiers, and chemical data)
"""{{Drugbox
| Watchedfields
| verifiedrevid = 408577806
| IUPAC_name =
| OtherNames =
| image =
| width =
| alt =
| image2 =
| width2 =
| alt2 =
| imagename = <!-- else may use drug_name -->
| drug_name = <!-- else may use imagename -->
| caption =
<!--Clinical data-->
| tradename =
| Drugs.com =
| MedlinePlus =
| licence_EU = <!-- EMA requires brand name -->
| licence_US = <!-- FDA may use generic name -->
| DailyMedID = <!-- preference to licence_US -->
| pregnancy_AU = <!-- A / B1 / B2 / B3 / C / D / X -->
| pregnancy_US = <!-- A / B / C / D / X -->
| pregnancy_category=
| legal_AU = <!-- S2, S3, S4, S5, S6, S7, S8, S9 or Unscheduled-->
| legal_CA = <!-- OTC, Rx-only, Schedule I, II, III, IV, V, VI, VII, VIII -->
| legal_UK = <!-- GSL, P, POM, CD, CD Lic, CD POM, CD No Reg POM, CD (Benz) POM, CD (Anab) POM or CD Inv POM -->
| legal_US = <!-- OTC / Rx-only / Schedule I, II, III, IV, V -->
| legal_status =
| dependency_liability =
| routes_of_administration =
<!--Pharmacokinetic data-->
| bioavailability =
| protein_bound =
| metabolism =
| elimination_half-life =
| excretion =
<!--Identifiers-->
| CAS_number =
| CAS_supplemental =
| ATCvet =
| ATC_prefix = <!-- 'none' if uncategorised -->
| ATC_suffix =
| ATC_supplemental =
| PubChem =
| PubChemSubstance =
| IUPHAR_ligand =
| DrugBank =
| ChemSpiderID =
| UNII =
| KEGG =
| ChEBI =
| ChEMBL =
<!--Chemical data-->
| chemical_formula =
| C= | H= | Ag= | As= | Au= | B= | Bi= | Br= | Cl= | Co= | F= | Fe= | Gd= | I=
| K= | Mn= | N= | Na= | O= | P= | Pt= | S= | Sb= | Se= | Sr= | Tc= | Zn= | charge=
| molecular_weight =
| smiles =
| StdInChI =
| StdInChI_comment =
| StdInChIKey =
| synonyms =
| density =
| melting_point =
| melting_high =
| melting_notes =
| boiling_point =
| boiling_notes =
| solubility =
| specific_rotation =
| sec_combustion =
<!--Combo data-->
| type = combo
| drug_name =
| component1 = <!-- Drugname, automatically linked -->
| class1 = <!-- Group, manual link using [[..|..]] -->
| component2 = <!-- Drugname, automatically linked -->
| class2 = <!-- Group, manual link using [[..|..]] -->
| component3 = <!-- Drugname, automatically linked -->
| class3 = <!-- Group, manual link using [[..|..]] -->
| component4 = <!-- Drugname, automatically linked -->
| class4 = <!-- Group, manual link using [[..|..]] -->
<!--Monoclonal antibody data-->
| type = mab
| image =
| width =
| alt =
| image2 =
| width2 =
| alt2 =
| imagename = <!-- else may use drug_name -->
| drug_name = <!-- else may use imagename -->
| mab_type = <!-- mab, Fab, F(ab')2, Fab', scFv, di-scFv, 3funct, clFab, BiTE -->
| source = <!-- a, e, i, o, u, xi/a, zu/a, xizu/a, axo, ... -->
| target = <!-- antigen -->
<!--Vacine data-->
| type = vaccine
| image =
| alt =
| width =
| image2 =
| alt2 =
| width2 =
| imagename = <!-- else may use drug_name -->
| drug_name = <!-- else may use imagename -->
| target = <!-- the antigen/bacteria/toxin/virus to protect against -->
| vaccine_type = <!-- killed/attenuated/live/toxoid/protein subunit/subunit/conjugate/recombinant/DNA -->
}}"""
from collections import defaultdict
import codecs
import csv
import re
import string
import sys
import urllib
import urlparse
import wikipedia
# compiled regular expression
user = "BogBot"
regexp_ab = re.compile(r'\{\{(nobots|bots\|(allow=none|deny=.*?' + user + r'.*?|optout=all|deny=all))\}\}')
# adapted from http://mcstrother.wordpress.com/2011/02/22/scraping-and-parsing-wikipedia-infoboxes-in-python/
# Build a regex to locate the drugbox
exp = r'\{\{' # the opening brackets for the infobox
exp = exp + r'\s*' # any amount of whitespace
exp = exp + r'[Dd]rugbox' # the word "drugbox", capitalized or not
exp = exp + r'.*\}\}' # any amount of anything, followed by the end of the drugbox
regexp_drug_infobox = re.compile(exp, re.DOTALL)
regexp_param = re.compile(r"^\s*?\|\s*?(?P<PARAM>\S+)\s*?=\s*?(?P<VALUE>.+)\s*?($|\|)")
regexp_nested_template = re.compile(r"\{\{(?P<PARAMS>.+)\}\}")
regexp_open_square_bracket = re.compile(r"\[", re.DOTALL)
regexp_close_square_bracket = re.compile(r"\]", re.DOTALL)
regexp_open_curly_bracket = re.compile(r"}", re.DOTALL)
regexp_close_curly_bracket = re.compile(r"{", re.DOTALL)
regexp_double_open_square_bracket = re.compile(r"\[\[", re.DOTALL)
regexp_double_close_square_bracket = re.compile(r"\[\[", re.DOTALL)
regexp_double_open_curly_bracket = re.compile(r"}}", re.DOTALL)
regexp_double_close_curly_bracket = re.compile(r"{{", re.DOTALL)
# ATC_supplemental = {{ATC|B01|AC06}}, {{ATC|N02|BA01}}
regexp_ATC_supplemental = re.compile(r"\|\s*?ATC_supplemental\s*?=\s*?(?P<TEMPLATE>.*\{\{s*(ATC).+?\}\})\s*?($|\|)")
# CASNo_Ref = {{cascite|correct|CAS}}
regexp_CASNo_Ref = re.compile(r"\|\s*?CASNo_Ref\s*?=\s*?(?P<TEMPLATE>\{\{(Cascite|cascite).*?\}\})")
# CAS_supplemental = {{CAS|405-41-4}}
regexp_CAS_supplemental = re.compile(r"\|\s*?CAS_supplemental\s*?=\s*?(?P<TEMPLATE>\{\{CAS.*?\}\})")
# ChEMBL_Ref = {{ebicite|correct|EBI}}
regexp_ChEMBL_Ref = re.compile(r"\|\s*?ChEMBL_Ref\s*?=\s*?(?P<TEMPLATE>\{\{(Ebicite|ebicite).*?\}\})")
# ChemSpiderID_Ref = {{chemspidercite|correct|chemspider}}
regexp_ChemSpiderID_Ref = re.compile(r"\|\s*?ChemSpiderID_Ref\s*?=\s*?(?P<TEMPLATE>\{\{(Chemspidercite|chemspidercite).*?\}\})")
# Drugs.com = {{drugs.com|monograph|lisinopril}}
regexp_Drugs_com = re.compile(r"\|\s*?Drugs\.com\s*?=\s*?(?P<TEMPLATE>\{\{(Drugs\.com|drugs\.com).*?\}\})")
# KEGG_Ref = {{keggcite|correct|kegg}}
regexp_KEGG_Ref = re.compile(r"\|\s*?KEGG_Ref\s*?=\s*?(?P<TEMPLATE>\{\{(Keggcite|keggcite).*?\}\})")
# StdInChI_Ref = {{stdinchicite|correct|chemspider}}
regexp_StdInChI_Ref = re.compile(r"\|\s*?StdInChI_Ref\s*?=\s*?(?P<TEMPLATE>\{\{(Stdinchicite|stdinchicite).*?\}\})")
# StdInChIKey_Ref = {{stdinchicite|correct|chemspider}}
regexp_StdInChIKey_Ref = re.compile(r"\|\s*?StdInChIKey_Ref\s*?=\*s?(?P<TEMPLATE>\{\{(Stdinchicite|stdinchicite).*\}\})")
# UNII_Ref = {{fdacite|changed|FDA}}
regexp_UNII_Ref = re.compile(r"\|\s*?UNII_Ref\s*?=\s*?(?P<TEMPLATE>\{\{(Fdacite|fdacite).*?\}\})")
# named ref tag = <ref name="fattinger2000"> but not <ref name="fattinger2000" />
regexp_ref_tag_begin = re.compile(r"<ref>|<ref name.*?[^/]>")
regexp_ref_tag_end = re.compile(r"</ref>")
regexp_citation_template = re.compile(r"\{\{[C|c]ite\s*?(?P<TEMPLATE>.*?)\}\}")
# href='/monograph/maprotiline-hydrochloride.html'
regexp_monograph_url = re.compile("href='/monograph/(?P<STEM>.*?)\.html'", re.DOTALL)
# http://www.nlm.nih.gov/medlineplus/druginfo/meds/a604021.html
regexp_medlineplus_url = re.compile("www.nlm.nih.gov/medlineplus/druginfo/meds/(?P<ACNO>.*?)\.html", re.DOTALL)
def Allowbots(text):
if (regexp_ab.search(text)):
return False
return True
def urlEncodeNonAscii(b):
return re.sub('[\x80-\xFF]', lambda c: '%%%02x' % ord(c.group(0)), b)
def iriToUri(iri):
parts= urlparse.urlparse(iri)
return urlparse.urlunparse(
part.encode('idna') if parti==1 else urlEncodeNonAscii(part.encode('utf-8'))
for parti, part in enumerate(parts)
)
def find_drugbox_from_text(article_text):
# adapted from http://mcstrother.wordpress.com/2011/02/22/scraping-and-parsing-wikipedia-infoboxes-in-python/
search_result = regexp_drug_infobox.search(article_text)
if search_result:
result_text = search_result.group(0) # returns the entire matching sequence
begin, end = search_result.span()
else:
return None
# the regex isn't perfect, so look for the closing brackets of the infobox
count = 0
last_ind = None
for ind, c in enumerate(result_text):
if c == '}':
count = count - 1
elif c == '{':
count = count + 1
if count == 0 and not ind == 0:
last_ind = ind
break
offset = result_text.find('|')
location = (begin+offset, begin+last_ind-1, begin, begin+last_ind+1)
return location
def drugbank():
# drugbank data obtained from http://www.drugbank.ca/system/downloads/current/drugbank.txt.zip
drugbank_data = {}
# 0 1 2 3 4 5 6 7 8
# Name Trade_Names Drug_Type MedlinePlus Drugs.com_link KEGG_Drug_ID KEGG_Compound_ID ChemSpider_ID PubChem_Compound_ID DrugBank_ID
drug_data = csv.reader(open('/Users/BogBot/progs/pywikipedia/drugbox/drug_links_agumented.csv', 'rU'), dialect='excel')
for row in drug_data:
drugbank_data[row[0]] = row[1:]
return drugbank_data
def assign_nested_templates(parameters, current_parameters):
# extract and assign nested templates commonly used in drugbox templates
result_ATC_supplemental = regexp_ATC_supplemental.search(parameters)
if result_ATC_supplemental:
template = result_ATC_supplemental.group('TEMPLATE')
current_parameters['ATC_supplemental'] = template
# print "found result_ATC_supplemental! ", template
parameters = re.sub(regexp_ATC_supplemental, "|", parameters)
result_ChEMBL_Ref = regexp_ChEMBL_Ref.search(parameters)
if result_ChEMBL_Ref:
template = result_ChEMBL_Ref.group('TEMPLATE')
current_parameters['ChEMBL_Ref'] = template
# print "found result_ChEMBL_Ref! ", template
parameters = re.sub(regexp_ChEMBL_Ref, "", parameters)
result_CASNo_Ref = regexp_CASNo_Ref.search(parameters)
if result_CASNo_Ref:
template = result_CASNo_Ref.group('TEMPLATE')
current_parameters['CASNo_Ref'] = template
# print "found result_CASNo_Ref! ", template
parameters = re.sub(regexp_CASNo_Ref, "", parameters)
result_CAS_supplemental = regexp_CAS_supplemental.search(parameters)
if result_CAS_supplemental:
template = result_CAS_supplemental.group('TEMPLATE')
current_parameters['CAS_supplemental'] = template
# print "found result_CAS_supplemental! ", template
parameters = re.sub(regexp_CAS_supplemental, "", parameters)
result_ChemSpiderID_Ref = regexp_ChemSpiderID_Ref.search(parameters)
if result_ChemSpiderID_Ref:
template = result_ChemSpiderID_Ref.group('TEMPLATE')
current_parameters['ChemSpiderID_Ref'] = template
# print "found ChemSpiderID_Ref! ", template
parameters = re.sub(regexp_ChemSpiderID_Ref, "", parameters)
result_Drugs_com = regexp_Drugs_com.search(parameters)
if result_Drugs_com:
template = result_Drugs_com.group('TEMPLATE')
current_parameters['Drugs.com'] = template
# print "found result_Drugs_com! ", template
parameters = re.sub(regexp_Drugs_com, "", parameters)
result_KEGG_Ref = regexp_KEGG_Ref.search(parameters)
if result_KEGG_Ref:
template = result_KEGG_Ref.group('TEMPLATE')
current_parameters['KEGG_Ref'] = template
# print "found KEGG_Ref! ", template
parameters = re.sub(regexp_KEGG_Ref, "", parameters)
result_StdInChI_Ref = regexp_StdInChI_Ref.search(parameters)
if result_StdInChI_Ref:
template = result_StdInChI_Ref.group('TEMPLATE')
current_parameters['StdInChI_Ref'] = template
# print "found StdInChI_Ref! ", template
parameters = re.sub(regexp_StdInChI_Ref, "", parameters)
result_UNII_Ref = regexp_UNII_Ref.search(parameters)
if result_UNII_Ref:
template = result_UNII_Ref.group('TEMPLATE')
current_parameters['UNII_Ref'] = template
# print "found UNII_Ref! ", template
parameters = re.sub(regexp_UNII_Ref, "", parameters)
return parameters
def rejoin(begin, end, sub_strings, type):
# make sure we split only on the pipes that represent ends of the infobox entry, not the pipes used in links, nested templates, citations, etc.
# adapted from http://mcstrother.wordpress.com/2011/02/22/scraping-and-parsing-wikipedia-infoboxes-in-python/
new_list = [sub_strings[0]]
for sub_string in sub_strings[1:]:
if (end in sub_string) and ((not begin in sub_string) or sub_string.find(end) < sub_string.find(begin)):
if type == "line":
new_list[-1] = new_list[-1] + sub_string
if type == "parameter":
new_list[-1] = new_list[-1] + '|' + sub_string
else:
new_list.append(sub_string)
sub_strings = new_list
return sub_strings
def test_disjoint(begin,end,sub_strings):
disjoint = False
for sub_string in sub_strings:
if (end in sub_string) and ((not begin in sub_string) or sub_string.find(end) < sub_string.find(begin)):
disjoint = True
break
return disjoint
def regex_rejoin(regexp_begin, regexp_end, sub_strings, type):
# make sure we split only on the pipes that represent ends of the infobox entry, not the pipes used in links, nested templates, citations, etc.
# adapted from http://mcstrother.wordpress.com/2011/02/22/scraping-and-parsing-wikipedia-infoboxes-in-python/
new_list = [sub_strings[0]]
for sub_string in sub_strings[1:]:
begin = False; end = False; n_begin = 0; n_end = 0
if regexp_begin.search(sub_string):
begin = True
match = regexp_begin.findall(sub_string)
n_begin = len(match)
if regexp_end.search(sub_string):
end = True
match = regexp_end.findall(sub_string)
n_end = len(match)
if ((end and not begin) or n_end < n_begin):
if type == "line":
new_list[-1] = new_list[-1] + sub_string
if type == "parameter":
new_list[-1] = new_list[-1] + '|' + sub_string
else:
new_list.append(sub_string)
sub_strings = new_list
return sub_strings
def regex_test_disjoint(regexp_begin, regexp_end, sub_strings):
disjoint = False
begin = False; end = False; n_begin = 0; n_end = 0
for sub_string in sub_strings:
if regexp_begin.search(sub_string):
begin = True
match = regexp_begin.findall(sub_string)
n_begin = len(match)
if regexp_end.search(sub_string):
end = True
match = regexp_end.findall(sub_string)
n_end = len(match)
if ((end and not begin) or n_end < n_begin):
disjoint = True
break
return disjoint
def pad_parameters(text):
matches = regexp_citation_template.findall(text)
for match in matches:
sub_strings = match.split("|")
new_strings = " " + sub_strings[0].strip()
for item in sub_strings[1:]:
item = " | " + item.strip()
new_strings += item
sub_strings = new_strings.split("=")
new_strings = " " + sub_strings[0].strip()
for item in sub_strings[1:]:
item = " = " + item.strip()
new_strings += item
text = text.replace(match,new_strings)
return text
def parse_line(line, current_parameters):
# print "index: ", line.count('|')
# if (line.count('|') > 1 and line.count('[[') < 1 ):
if (line.count('|') > 1):
# print "line1: ", line
sub_strings = line.split("|")
# make sure we split only on the pipes that represent ends of the infobox entry, not the pipes used in links
sub_strings = rejoin('[[',']]',sub_strings, 'parameter')
# do the same for nested templates
forever = True
while forever:
if test_disjoint('{{','}}',sub_strings):
forever = True
sub_strings = rejoin('{{','}}',sub_strings, 'parameter')
else:
forever = False
# do the same for citations:
forever = True
while forever:
if regex_test_disjoint(regexp_ref_tag_begin, regexp_ref_tag_end, sub_strings):
forever = True
sub_strings = regex_rejoin(regexp_ref_tag_begin, regexp_ref_tag_end, sub_strings, 'parameter')
else:
forever = False
# now assign the parameters
for sub_string in sub_strings:
# print "sub_string: ", sub_string
if (sub_string.count("=") > 0):
parts = sub_string.split("=", 1)
# print "parts: ", parts
parameter = str(parts[0].encode("utf-8")).strip()
value = str(parts[1].encode("utf-8")).strip()
value = pad_parameters(value)
# print "parameter, value: ", parameter, " ", value
if not value:
value = " "
current_parameters[parameter] = value
else:
result_drug_param = regexp_param.search(line)
# print line
if result_drug_param:
# print "made it!"
# print "line2: ", line
parameter = (result_drug_param.group('PARAM').encode("utf-8")).strip()
value = (result_drug_param.group('VALUE').encode("utf-8")).strip()
value = pad_parameters(value)
if not value:
value = " "
current_parameters[parameter] = value
return
def remove_embedded_carriage_returns(parameters):
# remove embedded carriage returns from templates:
lines = parameters.splitlines()
forever = True
while forever:
if test_disjoint('{{', '}}', lines):
forever = True
lines = rejoin('{{', '}}', lines, 'line')
else:
forever = False
forever = True
while forever:
if regex_test_disjoint(regexp_ref_tag_begin, regexp_ref_tag_end, lines):
forever = True
lines = regex_rejoin(regexp_ref_tag_end, regexp_ref_tag_begin, lines, 'line')
else:
forever = False
parameters = string.join(lines, "\n")
return parameters
def build_new_drugbox(current_parameters):
# build new drugbox template
# make sure that all values in the current_parameters dictionary are properly encoded
encoding = 'utf-8'
for k, v in current_parameters.iteritems():
if isinstance(v, basestring):
if not isinstance(v, unicode):
v = unicode(v, encoding)
current_parameters[k] = v
# if type parameter is missing, check subordinate parameters that infer type, and if found, assign type
if not current_parameters.has_key("type"):
if ("component1" in current_parameters or
"class1" in current_parameters or
"component2" in current_parameters or
"class2" in current_parameters or
"component3" in current_parameters or
"class3" in current_parameters or
"component4" in current_parameters
or "class4" in current_parameters):
current_parameters['type'] = "combo"
elif ("mab_type") in current_parameters:
current_parameters['type'] = "mab"
elif ("vaccine_type") in current_parameters:
current_parameters['type'] = "vaccine"
# if not previously assigned, add the following "empty" parameters
if not current_parameters.has_key("tradename"):
current_parameters["tradename"] = " "
new_drugbox = unicode( "{{Drugbox\n", "utf-8" )
if current_parameters.has_key("Verifiedfields"): new_drugbox += "| Verifiedfields = " + current_parameters['Verifiedfields'] + "\n"
if current_parameters.has_key("Watchedfields"): new_drugbox += "| Watchedfields = " + current_parameters['Watchedfields'] + "\n"
if current_parameters.has_key("verifiedrevid"): new_drugbox += "| verifiedrevid = " + current_parameters['verifiedrevid'] + "\n"
if current_parameters.has_key("IUPAC_name"): new_drugbox += "| IUPAC_name = " + current_parameters['IUPAC_name'] + "\n"
if current_parameters.has_key("OtherNames"): new_drugbox += "| OtherNames = " + current_parameters['OtherNames'] + "\n"
if current_parameters.has_key("image"): new_drugbox += "| image = " + current_parameters['image'] + "\n"
if current_parameters.has_key("width"): new_drugbox += "| width = " + current_parameters['width'] + "\n"
if current_parameters.has_key("alt"): new_drugbox += "| alt = " + current_parameters['alt'] + "\n"
if current_parameters.has_key("image2"): new_drugbox += "| image2 = " + current_parameters['image2'] + "\n"
if current_parameters.has_key("width2"): new_drugbox += "| width2 = " + current_parameters['width2'] + "\n"
if current_parameters.has_key("imagename"): new_drugbox += "| imagename = " + current_parameters['imagename'] + "\n"
if current_parameters.has_key("drug_name"): new_drugbox += "| drug_name = " + current_parameters['drug_name'] + "\n"
if current_parameters.has_key("caption"): new_drugbox += "| caption = " + current_parameters['caption'] + "\n"
if current_parameters.has_key("type"):
if current_parameters['type'] == "combo":
new_drugbox += "\n<!--Combo data-->\n"
if current_parameters.has_key("type"): new_drugbox += "| type = " + current_parameters['type'] + "\n"
if current_parameters.has_key("component1"): new_drugbox += "| component1 = " + current_parameters['component1'] + "\n"
if current_parameters.has_key("class1"): new_drugbox += "| class1 = " + current_parameters['class1'] + "\n"
if current_parameters.has_key("component2"): new_drugbox += "| component2 = " + current_parameters['component2'] + "\n"
if current_parameters.has_key("class2"): new_drugbox += "| class2 = " + current_parameters['class2'] + "\n"
if current_parameters.has_key("component3"): new_drugbox += "| component3 = " + current_parameters['component3'] + "\n"
if current_parameters.has_key("class3"): new_drugbox += "| class3 = " + current_parameters['class3'] + "\n"
if current_parameters.has_key("component4"): new_drugbox += "| component4 = " + current_parameters['component4'] + "\n"
if current_parameters.has_key("class4"): new_drugbox += "| class4 = " + current_parameters['class4'] + "\n"
if current_parameters['type'] == "mab":
new_drugbox += "\n<!--Monoclonal antibody data-->\n"
if current_parameters.has_key("type"): new_drugbox += "| type = " + current_parameters['type'] + "\n"
if current_parameters.has_key("mab_type"): new_drugbox += "| mab_type = " + current_parameters['mab_type'] + "\n"
if current_parameters.has_key("source"): new_drugbox += "| source = " + current_parameters['source'] + "\n"
if current_parameters.has_key("target"): new_drugbox += "| target = " + current_parameters['target'] + "\n"
if current_parameters['type'] == "vaccine":
new_drugbox += "\n<!--Vacine data-->\n"
if current_parameters.has_key("type"): new_drugbox += "| type = " + current_parameters['type'] + "\n"
if current_parameters.has_key("target"): new_drugbox += "| target = " + current_parameters['target'] + "\n"
if current_parameters.has_key("vaccine_type"): new_drugbox += "| vaccine_type = " + current_parameters['vaccine_type'] + "\n"
if ("tradename" in current_parameters or "Drugs.com" in current_parameters or "MedlinePlus" in current_parameters or "licence_EU" in current_parameters or
"licence_US" in current_parameters or "DailyMedID" in current_parameters or "pregnancy_AU" in current_parameters or "pregnancy_US" in current_parameters or
"pregnancy_category" in current_parameters or "legal_AU" in current_parameters or "legal_CA" in current_parameters or "legal_UK" in current_parameters or
"legal_US" in current_parameters or "legal_status" in current_parameters or "dependency_liability" or "routes_of_administration" in current_parameters):
new_drugbox += "\n<!--Clinical data-->\n"
if current_parameters.has_key("tradename"): new_drugbox += "| tradename = " + current_parameters['tradename'] + "\n"
if current_parameters.has_key("Drugs.com"): new_drugbox += "| Drugs.com = " + current_parameters['Drugs.com'] + "\n"
if current_parameters.has_key("MedlinePlus"): new_drugbox += "| MedlinePlus = " + current_parameters['MedlinePlus'] + "\n"
if current_parameters.has_key("licence_EU"): new_drugbox += "| licence_EU = " + current_parameters['licence_EU'] + "\n"
if current_parameters.has_key("licence_US"): new_drugbox += "| licence_US = " + current_parameters['licence_US'] + "\n"
if current_parameters.has_key("DailyMedID"): new_drugbox += "| DailyMedID = " + current_parameters['DailyMedID'] + "\n"
if current_parameters.has_key("pregnancy_AU"): new_drugbox += "| pregnancy_AU = " + current_parameters['pregnancy_AU'] + "\n"
if current_parameters.has_key("pregnancy_US"): new_drugbox += "| pregnancy_US = " + current_parameters['pregnancy_US'] + "\n"
if current_parameters.has_key("pregnancy_category"): new_drugbox += "| pregnancy_category = " + current_parameters['pregnancy_category'] + "\n"
if current_parameters.has_key("legal_AU"): new_drugbox += "| legal_AU = " + current_parameters['legal_AU'] + "\n"
if current_parameters.has_key("legal_CA"): new_drugbox += "| legal_CA = " + current_parameters['legal_CA'] + "\n"
if current_parameters.has_key("legal_UK"): new_drugbox += "| legal_UK = " + current_parameters['legal_UK'] + "\n"
if current_parameters.has_key("legal_US"): new_drugbox += "| legal_US = " + current_parameters['legal_US'] + "\n"
if current_parameters.has_key("legal_status"): new_drugbox += "| legal_status = " + current_parameters['legal_status'] + "\n"
if current_parameters.has_key("dependency_liability"): new_drugbox += "| dependency_liability = " + current_parameters['dependency_liability'] + "\n"
if current_parameters.has_key("routes_of_administration"): new_drugbox += "| routes_of_administration = " + current_parameters['routes_of_administration'] + "\n"
if ("bioavailability" in current_parameters or "protein_bound metabolism" in current_parameters or "elimination_half-life" in current_parameters or "excretion" in current_parameters):
new_drugbox += "\n<!--Pharmacokinetic data-->\n"
if current_parameters.has_key("bioavailability"): new_drugbox += "| bioavailability = " + current_parameters['bioavailability'] + "\n"
if current_parameters.has_key("protein_bound"): new_drugbox += "| protein_bound = " + current_parameters['protein_bound'] + "\n"
if current_parameters.has_key("metabolism"): new_drugbox += "| metabolism = " + current_parameters['metabolism'] + "\n"
if current_parameters.has_key("elimination_half-life"): new_drugbox += "| elimination_half-life = " + current_parameters['elimination_half-life'] + "\n"
if current_parameters.has_key("excretion"): new_drugbox += "| excretion = " + current_parameters['excretion'] + "\n"
if ("CAS_number" in current_parameters or "CAS_supplemental" in current_parameters or "ATCvet" in current_parameters or "ATC_prefix" in current_parameters or
"ATC_suffix" in current_parameters or "ATC_supplemental" in current_parameters or "PubChem" in current_parameters or "PubChemSubstance" in current_parameters or
"IUPHAR_ligand" in current_parameters or "DrugBank" in current_parameters or "ChemSpiderID" in current_parameters or "UNII" in current_parameters or
"KEGG" in current_parameters or "ChEBI" in current_parameters or "ChEMBL" in current_parameters):
new_drugbox += "\n<!--Identifiers-->\n"
if current_parameters.has_key("CAS_number_Ref"): new_drugbox += "| CAS_number_Ref = " + current_parameters['CAS_number_Ref'] + "\n"
if current_parameters.has_key("CASNo_Ref"): new_drugbox += "| CASNo_Ref = " + current_parameters['CASNo_Ref'] + "\n"
if current_parameters.has_key("CAS_number"): new_drugbox += "| CAS_number = " + current_parameters['CAS_number'] + "\n"
if current_parameters.has_key("CAS_supplemental"): new_drugbox += "| CAS_supplemental = " + current_parameters['CAS_supplemental'] + "\n"
if current_parameters.has_key("ATCvet"): new_drugbox += "| ATCvet = " + current_parameters['ATCvet'] + "\n"
if current_parameters.has_key("ATC_prefix"): new_drugbox += "| ATC_prefix = " + current_parameters['ATC_prefix'] + "\n"
if current_parameters.has_key("ATC_suffix"): new_drugbox += "| ATC_suffix = " + current_parameters['ATC_suffix'] + "\n"
if current_parameters.has_key("ATC_supplemental"): new_drugbox += "| ATC_supplemental = " + current_parameters['ATC_supplemental'] + "\n"
if current_parameters.has_key("PubChem"): new_drugbox += "| PubChem = " + current_parameters['PubChem'] + "\n"
if current_parameters.has_key("PubChemSubstance"): new_drugbox += "| PubChemSubstance = " + current_parameters['PubChemSubstance'] + "\n"
if current_parameters.has_key("IUPHAR_ligand"): new_drugbox += "| IUPHAR_ligand = " + current_parameters['IUPHAR_ligand'] + "\n"
if current_parameters.has_key("DrugBank_Ref"): new_drugbox += "| DrugBank_Ref = " + current_parameters['DrugBank_Ref'] + "\n"
if current_parameters.has_key("DrugBank"): new_drugbox += "| DrugBank = " + current_parameters['DrugBank'] + "\n"
if current_parameters.has_key("ChemSpiderID_Ref"): new_drugbox += "| ChemSpiderID_Ref = " + current_parameters['ChemSpiderID_Ref'] + "\n"
if current_parameters.has_key("ChemSpiderID"): new_drugbox += "| ChemSpiderID = " + current_parameters['ChemSpiderID'] + "\n"
if current_parameters.has_key("UNII_Ref"): new_drugbox += "| UNII_Ref = " + current_parameters['UNII_Ref'] + "\n"
if current_parameters.has_key("UNII"): new_drugbox += "| UNII = " + current_parameters['UNII'] + "\n"
if current_parameters.has_key("KEGG_Ref"): new_drugbox += "| KEGG_Ref = " + current_parameters['KEGG_Ref'] + "\n"
if current_parameters.has_key("KEGG"): new_drugbox += "| KEGG = " + current_parameters['KEGG'] + "\n"
if current_parameters.has_key("ChEBI_Ref"): new_drugbox += "| ChEBI_Ref = " + current_parameters['ChEBI_Ref'] + "\n"
if current_parameters.has_key("ChEBI"): new_drugbox += "| ChEBI = " + current_parameters['ChEBI'] + "\n"
if current_parameters.has_key("ChEMBL_Ref"): new_drugbox += "| ChEMBL_Ref = " + current_parameters['ChEMBL_Ref'] + "\n"
if current_parameters.has_key("ChEMBL"): new_drugbox += "| ChEMBL = " + current_parameters['ChEMBL'] + "\n"
new_drugbox += "\n<!--Chemical data-->\n"
if ("chemical_formula" in current_parameters or "C" in current_parameters or "H" in current_parameters or "Ag" in current_parameters or "As" in current_parameters or
"Au" in current_parameters or "B" in current_parameters or "Bi" in current_parameters or "Br" in current_parameters or "Cl" in current_parameters or "Co" in current_parameters or
"F" in current_parameters or "Fe" in current_parameters or "Gd" in current_parameters or "I" in current_parameters or "K" in current_parameters or "Mn" in current_parameters or
"N" in current_parameters or "Na" in current_parameters or "O" in current_parameters or "P" in current_parameters or "Pt" in current_parameters or "S" in current_parameters or
"Sb" in current_parameters or "Se" in current_parameters or "Sr" in current_parameters or "Tc" in current_parameters or "charge" in current_parameters):
if current_parameters.has_key("chemical_formula"): new_drugbox += "| chemical_formula = " + current_parameters['chemical_formula'] + "\n"
# new_drugbox += " "
if current_parameters.has_key("C"): new_drugbox += "| C=" + current_parameters['C'] + " "
if current_parameters.has_key("H"): new_drugbox += "| H=" + current_parameters['H'] + " "
if current_parameters.has_key("Ag"): new_drugbox += "| Ag=" + current_parameters['Ag'] + " "
if current_parameters.has_key("As"): new_drugbox += "| As=" + current_parameters['As'] + " "
if current_parameters.has_key("Au"): new_drugbox += "| Au=" + current_parameters['Au'] + " "
if current_parameters.has_key("B"): new_drugbox += "| B=" + current_parameters['B'] + " "
if current_parameters.has_key("Bi"): new_drugbox += "| Bi=" + current_parameters['Bi'] + " "
if current_parameters.has_key("Br"): new_drugbox += "| Br=" + current_parameters['Br'] + " "
if current_parameters.has_key("Cl"): new_drugbox += "| Cl=" + current_parameters['Cl'] + " "
if current_parameters.has_key("Co"): new_drugbox += "| Co=" + current_parameters['Co'] + " "
if current_parameters.has_key("F"): new_drugbox += "| F=" + current_parameters['F'] + " "
if current_parameters.has_key("Fe"): new_drugbox += "| Fe=" + current_parameters['Fe'] + " "
if current_parameters.has_key("Gd"): new_drugbox += "| Gd=" + current_parameters['Gd'] + " "
if current_parameters.has_key("I"): new_drugbox += "| I=" + current_parameters['I'] + " "
if current_parameters.has_key("K"): new_drugbox += "| K=" + current_parameters['K'] + " "
if current_parameters.has_key("Mn"): new_drugbox += "| Mn=" + current_parameters['Mn'] + " "
if current_parameters.has_key("N"): new_drugbox += "| N=" + current_parameters['N'] + " "
if current_parameters.has_key("Na"): new_drugbox += "| Na=" + current_parameters['Na'] + " "
if current_parameters.has_key("O"): new_drugbox += "| O=" + current_parameters['O'] + " "
if current_parameters.has_key("P"): new_drugbox += "| P=" + current_parameters['P'] + " "
if current_parameters.has_key("Pt"): new_drugbox += "| Pt=" + current_parameters['Pt'] + " "
if current_parameters.has_key("S"): new_drugbox += "| S=" + current_parameters['S'] + " "
if current_parameters.has_key("Sb"): new_drugbox += "| C=" + current_parameters['Sb'] + " "
if current_parameters.has_key("Se"): new_drugbox += "| Se=" + current_parameters['Se'] + " "
if current_parameters.has_key("Sr"): new_drugbox += "| Sr=" + current_parameters['Sr'] + " "
if current_parameters.has_key("Tc"): new_drugbox += "| Tc=" + current_parameters['Tc'] + " "
if current_parameters.has_key("charge"): new_drugbox += "| charge = " + current_parameters['charge'] + " "
new_drugbox += "\n"
if current_parameters.has_key("molecular_weight"): new_drugbox += "| molecular_weight = " + current_parameters['molecular_weight'] + "\n"
if current_parameters.has_key("smiles"): new_drugbox += "| smiles = " + current_parameters['smiles'] + "\n"
if current_parameters.has_key("InChI_Ref"): new_drugbox += "| InChI_Ref = " + current_parameters['InChI_Ref'] + "\n"
if current_parameters.has_key("InChI"): new_drugbox += "| InChI = " + current_parameters['InChI'] + "\n"
if current_parameters.has_key("InChIKey"): new_drugbox += "| InChIKey = " + current_parameters['InChIKey'] + "\n"
if current_parameters.has_key("StdInChI_Ref"): new_drugbox += "| StdInChI_Ref = " + current_parameters['StdInChI_Ref'] + "\n"
if current_parameters.has_key("StdInChI"): new_drugbox += "| StdInChI = " + current_parameters['StdInChI'] + "\n"
if current_parameters.has_key("StdInChI_comment"): new_drugbox += "| StdInChI_comment = " + current_parameters['StdInChI_comment'] + "\n"
if current_parameters.has_key("StdInChIKey_Ref"): new_drugbox += "| StdInChIKey_Ref = " + current_parameters['StdInChIKey_Ref'] + "\n"
if current_parameters.has_key("StdInChIKey"): new_drugbox += "| StdInChIKey = " + current_parameters['StdInChIKey'] + "\n"
if current_parameters.has_key("synonyms"): new_drugbox += "| synonyms = " + current_parameters['synonyms'] + "\n"
if current_parameters.has_key("density"): new_drugbox += "| density = " + current_parameters['density'] + "\n"
if current_parameters.has_key("melting_point"): new_drugbox += "| melting_point = " + current_parameters['melting_point'] + "\n"
if current_parameters.has_key("melting_high"): new_drugbox += "| melting_high = " + current_parameters['melting_high'] + "\n"
if current_parameters.has_key("melting_notes"): new_drugbox += "| melting_notes = " + current_parameters['melting_notes'] + "\n"
if current_parameters.has_key("boiling_point"): new_drugbox += "| boiling_point = " + current_parameters['boiling_point'] + "\n"
if current_parameters.has_key("boiling_notes"): new_drugbox += "| boiling_notes = " + current_parameters['boiling_notes'] + "\n"
if current_parameters.has_key("solubility"): new_drugbox += "| solubility = " + current_parameters['solubility'] + "\n"
if current_parameters.has_key("specific_rotation"): new_drugbox += "| specific_rotation = " + current_parameters['specific_rotation'] + "\n"
if current_parameters.has_key("sec_combustion"): new_drugbox += "| sec_combustion = " + current_parameters['sec_combustion'] + "\n"
new_drugbox += "}}"
# print new_drugbox
return new_drugbox
def merged_tradenames(merck_tradename, current_tradename):
# merge tradenames
new_tradenames = []
if merck_tradename:
merck_tradenames = sorted(set(merck_tradename.split(";")))[1:]
for index, object in enumerate(merck_tradenames):
merck_tradenames[index] = string.capitalize(string.strip(object.encode("utf-8")))
else:
merck_tradenames = []
if current_tradename:
current_tradenames = sorted(set(current_tradename.split(", ")))
for index, object in enumerate(current_tradenames):
current_tradenames[index] = string.capitalize(string.strip(object.encode("utf-8")))
else:
current_tradenames = []
merged_tradenames = []
if merck_tradenames: merged_tradenames = merck_tradenames
if current_tradenames:
for name in current_tradenames:
merged_tradenames.append(name)
if merged_tradenames:
new_tradenames = sorted(set(merged_tradenames))
new_tradename = ", ".join(new_tradenames)
return new_tradename
else:
new_tradename = ""
return new_tradename
# print "merck tradenames: ", merck_tradenames
# print "current tradenames: ", current_tradenames
def test_MedlinePlus(accession_number):
# add MedlinePlus parameter
# | MedlinePlus = <!-- MedlinePlus drug accession number, e.g., "a692051" that links to "http://www.nlm.nih.gov/medlineplus/druginfo/meds/a692051.html" -->
# test web page, returns "200" if OK:
# if urllib.urlopen(link).getcode() == 200:
# 200: ('OK', 'Request fulfilled, document follows')
# 404: (page not found)
if accession_number:
link = "http://www.nlm.nih.gov/medlineplus/druginfo/meds/" + accession_number + ".html"
if urllib.urlopen(link).getcode() == 200: # test link status to make sure it is good before assigning parameter
return True
else:
link = ""
return False
def test_Drugs_com(INN, tradename, drugbank_drugs_com):
# add Drugs.com parameter
# | Drugs.com = <!-- link to Drugs.com monograph, e.g., "lisinopril" that links to "http://www.drugs.com/monograph/lisinopril.html" -->
# create alternate candidate drugs.com links
# alternateive roots include the monograph, CDI, CONS, MTM, and "parent" sectios of drgus.com web site
# alternative stems inlclude the INN, trade names, and the name extracted from the drugbank link
tradenames = tradename.split(", ")
# drugs.com root links:
roots = [("monograph","http://www.drugs.com/monograph/"), ("CDI","http://www.drugs.com/cdi/"), ("CONS","http://www.drugs.com/cons/"), ("MTM","http://www.drugs.com/mtm/"), ("pro","http://www.drugs.com/pro/"), ("international","http://www.drugs.com/international/"), ("parent","http://www.drugs.com/")]
stems = []
drugnames = []
drugnames.append(INN)
link = False
if tradenames:
for tradename in tradenames:
drugnames.append(tradename)
for drugname in drugnames:
drugname = string.lower(drugname)
# print "drugnames: ", drugnames
if (drugname != " " and string.find(drugname, " ") > -1):
stems.append(string.replace(drugname, " ", "_"))
stems.append(string.replace(drugname, " ", "-"))
elif (drugname != " "):
stems.append(drugname)
# also try common salts
stems.append(drugname + "-hydrochloride")
stems.append(drugname + "-sulfate")
# stems.append(drugname + "-chloride")
# stems.append(drugname + "-sodium")
# stems.append(drugname + "-bromide")
# stems.append(drugname + "-maleate")
# stems.append(drugname + "-citrate")
if drugbank_drugs_com:
if (string.find(drugbank_drugs_com, "http://www.drugs.com/") > -1):
temp = string.replace(drugbank_drugs_com, "http://www.drugs.com/", "")
temp = string.replace(temp, ".html", "")
drugnames.append(temp)
try:
for root in roots:
for stem in stems:
if stem:
link = iriToUri(root[1] + stem + ".html")
# print "attempted Drugs.com link: ", link
if urllib.urlopen(link).getcode() == 200: # test link status to make sure it is good before assigning parameter
# print "passed link: ", link
if root[0] == "monograph":
link = "{{drugs.com|" + root[0] + "|" + stem + "}}"
raise StopIteration()
else:
opener = urllib.FancyURLopener({})
f = opener.open(link)
text = f.read()
result = regexp_monograph_url.search(text)
if result:
stem = result.group('STEM')
link = "{{drugs.com|" + roots[0][0] + "|" + stem + "}}"
raise StopIteration()
else:
link = "{{drugs.com|" + root[0] + "|" + stem + "}}"
# print "link: ", link
raise StopIteration()
else:
link = ""
except StopIteration:
pass
return link
def unbalanced(text):
# test for unmatched square or curly brackets
n_open_square_bracket = len(regexp_open_square_bracket.findall(text))
n_close_square_bracket = len(regexp_close_square_bracket.findall(text))
n_open_curly_bracket = len(regexp_open_curly_bracket.findall(text))
n_close_curly_bracket = len(regexp_close_curly_bracket.findall(text))
n_double_open_square_bracket = len(regexp_double_open_square_bracket.findall(text))
n_double_close_square_bracket = len(regexp_double_close_square_bracket.findall(text))
n_double_open_curly_bracket = len(regexp_double_open_curly_bracket.findall(text))
n_double_close_curly_bracket = len(regexp_double_close_curly_bracket.findall(text))
if (n_open_square_bracket != n_close_square_bracket or
n_open_curly_bracket != n_close_curly_bracket or
n_double_open_square_bracket != n_double_close_square_bracket or
n_double_open_curly_bracket != n_double_close_curly_bracket):
return True
else:
return False
def savepage(page, text, summary = '', minor = False, log_string = ""):
"""Save text to a page and log exceptions."""
if summary != '':
wikipedia.setAction(summary)
try:
page.put(text, minorEdit = minor)
wikipedia.output('%s \03{green}saving %s' % (log_string, page.title()) )
return ''
except wikipedia.LockedPage:
wikipedia.output('%s \03{red}cannot save %s because it is locked\03{default}' % (log_string, page.title()) )
return '# %s: page was locked\n' % page.aslink()
except wikipedia.EditConflict:
wikipedia.output('%s \03{red}cannot save %s because of edit conflict\03{default}' % (log_string, page.title()) )
return '# %s: edit conflict occurred\n' % page.aslink()
except wikipedia.SpamfilterError, error:
wikipedia.output('%s \03{red}cannot save %s because of spam blacklist entry %s\03{default}' % ((log_string, page.title(), error.url)) )
return '# %s: spam blacklist entry\n' % page.aslink()
except:
wikipedia.output('%s \03{red}unknown error on saving %s\03{default}' % (log_string, page.title()) )
return '# %s: unknown error occurred\n' % page.aslink()
def run():
drugbank_data = drugbank()
DrugBank_ID_INN = {}
for k, v in drugbank_data.iteritems():
DrugBank_ID_INN[v[8]]= k
# list of articles to work on is generated by: "python pagegenerators.py -namespace:0 -transcludes:Drugbox > drugbox_titles.txt"
articles = []
articles = codecs.open('/Users/BogBot/progs/pywikipedia/drugbox_titles.txt', mode = 'r', encoding='utf-8')
# articles = ['Progesterone']
for article in articles:
article = article.rstrip('\n')
encoding = 'utf-8'
if isinstance(article, basestring):
if not isinstance(article, unicode):
article = unicode(article, encoding)
new_drugbox = ""
log_string = "* [[" + article + "]], "
site = wikipedia.getSite()
page = wikipedia.Page(site, article)
text = page.get(get_redirect = True)
if not Allowbots(text):
continue
begin, end, begin2, end2 = find_drugbox_from_text(text)
if end:
parameters = text[begin:end]
else:
log_string = log_string + "drugbox not found!"
print log_string
continue
# make sure that there are no unmatched square or curly brackets
# if found, abbort, since these may indicate a error in the wiki markup
# and may trigger an infinite loop else where in this script
if unbalanced(parameters):
log_string = log_string + "unmatched brackets found, article skipped!"
print log_string
continue
# print text[begin:end]
current_parameters = {}
# first extract and assign nested templates commonly used in drugbox templates
parameters = assign_nested_templates(parameters, current_parameters)
# remove any embedded carriage returns from remaining templates:
parameters = remove_embedded_carriage_returns(parameters)
# next, parse each line for parameters
lines = parameters.splitlines()
for line in lines:
parse_line(line, current_parameters)
INN = article
# INN = "Acetylsalicylic acid"
if INN in drugbank_data:
db_data = drugbank_data[INN]
elif "DrugBank" in current_parameters and current_parameters['DrugBank'] in DrugBank_ID_INN:
log_string = str(log_string + "INN reset from " + INN,)
INN = DrugBank_ID_INN[current_parameters['DrugBank']]
log_string = log_string + "to " + INN + ", "
db_data = drugbank_data[INN]
if not "drug_name" in current_parameters:
current_parameters['drug_name'] = INN
else:
db_data = []
if "DrugBank" in current_parameters and current_parameters['DrugBank'] in DrugBank_ID_INN:
if DrugBank_ID_INN[current_parameters['DrugBank']] == INN:
log_string = log_string + "DrugBankID/INN OK!, "
else:
log_string = log_string + "DrugBankID/INN NOT OK!, "
else:
if db_data:
if db_data[8]:
if not "DrugBank" in current_parameters:
current_parameters['DrugBank'] = db_data[8]
# while we are at it, populate KEGG_Drug_ID, ChemSpider_ID, and PubChem_Compound_ID fields if missing
if db_data:
if db_data[4] and not "KEGG" in current_parameters:
current_parameters['KEGG'] = db_data[4]
if db_data[6] and not "ChemSpiderID" in current_parameters:
current_parameters['ChemSpiderID'] = db_data[6]
if db_data[7] and not "PubChem" in current_parameters:
current_parameters['PubChem'] = db_data[7]
# augument current tradename list with the ones supplied by the Merck Manual
if db_data:
if db_data[0]:
merck_tradename = db_data[0]
else:
merck_tradename = ""
else:
merck_tradename = ""
if 'tradename' in current_parameters:
current_tradename = current_parameters['tradename']
else:
current_tradename = ""
new_tradename = merged_tradenames(merck_tradename, current_tradename)
if new_tradename: current_parameters['tradename'] = new_tradename
# add MedlinePlus parameter
if db_data:
if db_data[2]:
if test_MedlinePlus(db_data[2]):
current_parameters['MedlinePlus'] = db_data[2]
# add Drugs.com link
if 'tradename' in current_parameters:
tradename = current_parameters['tradename']
else:
tradename = ""
if db_data:
if db_data[3]:
drugbank_drugs_com = db_data[3]
else:
drugbank_drugs_com = ""
else:
drugbank_drugs_com = ""
result = test_Drugs_com(INN, tradename, drugbank_drugs_com)
if result: current_parameters['Drugs.com'] = result
# add MedlinePlus parameter
if db_data:
if db_data[2]:
if test_MedlinePlus(db_data[2]):
current_parameters['MedlinePlus'] = db_data[2]
if not 'MedlinePlus' in current_parameters:
opener = urllib.FancyURLopener({})
stem = string.replace(article, " ", "+")
link = "http://vsearch.nlm.nih.gov/vivisimo/cgi-bin/query-meta?&v:project=medlineplus&query=" + stem
# print "MedlinePlus link:", link
f = opener.open(link)
text2 = f.read()
result = regexp_medlineplus_url.search(text2)
if result:
current_parameters['MedlinePlus'] = result.group('ACNO')
new_text = text[:begin2] + build_new_drugbox(current_parameters) + text[end2:]
# print build_new_drugbox(current_parameters)
# print new_text
# print current_parameters
# print new_text
if current_parameters:
comment='populated new fields in {{drugbox}} and reordered per [[Wikipedia:Bots/Requests_for_approval/BogBot_2|bot approval]]. Report errors and suggestions to [[User_talk:BogBot]]'
status = savepage(page, new_text, comment, False, log_string)
else:
print ", page not updated"
wikipedia.stopme()
run()
