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jarbasal
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example.py
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50
example.py
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from pyerowid import Erowid
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trip_report = Erowid.random_experience()
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print trip_report.keys()
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""" ['url', 'gender', 'age', 'experience', 'drug', 'year', 'date', 'exp_id', 'dosage'] """
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trip_report = Erowid.get_experience(1)
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for key in trip_report:
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print key, ":", trip_report[key]
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"""
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url : https://erowid.org/experiences/exp.php?ID=1
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gender : not specified
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age : not given
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15 minutes after this scary ordeal i begin to settle down, i layed down inside his warm house on the rug, touching and rubbing my hands like everywhere, everything was orgasmic feeling. I took a look at my eyes, i look like satan! it was so cool! Then after about and hour laying on the floor, other people come to his house who i dont even really know, but i just conversed with them with no feeling of stupidity, embarresment or consequences, very cool, i loved it, an hour later my eyes still were dialated but effects were over, it was fantastic
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drug : ecstasy
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year : 2000
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date : may 30, 2000
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exp_id : 1
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dosage : [{'substance': u'mdma', 'form': u'(pill / tablet)', 'method': u'oral', 'ammount': u'0.5 tablets', 'time': u't+ 0:00'}, {'substance': u'mdma', 'form': u'(pill / tablet)', 'method': u'oral', 'ammount': u'0.5 tablets', 'time': u't+ 0:45'}]
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"""
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chemicals = Erowid.get_chemicals()
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print chemicals[0].keys()
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names = [c["name"] for c in chemicals]
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print names
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"""
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['url', 'other_names', 'name', 'effects']
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[u'absinthe', u'acetylfentanyl', u'adrenochrome', u'aet', u'alcohol', u'alpha-pvp', u'amitriptyline', u'amphetamine', u'amt', u'ayahuasca', u'barbiturates', u'bk-mbdb', u'bromo-dragonfly', u'bufotenin', u'bz', u'bzp', u'caffeine', u'cannabinoids', u'capsaicin', u'carbogen', u'cathinone', u'chloroform', u'chocolate', u'cocaine / crack', u'desomorphine', u'det', u'dipt', u'dmt', u'dob', u'doc', u'doi', u'dom', u'dpt', u'dxm', u'ephedrine', u'ether', u'ethylcathinone', u'ethylene', u'ethylphenidate', u'ghb', u'ghv', u'harmala', u'heroin', u'hypocretin', u'iap', u'ibogaine', u'inhalants', u'ketamine', u'lsa', u'lsd', u'lsz', u'maois', u'mbdb', u'mcpp', u'mda', u'mde', u'mdai', u'mdma', u'mdpr', u'mdpv', u'mescaline', u'met', u'methadone', u'methamphetamines', u'methaqualone', u'methiopropamine', u'methoxetamine', u'methoxphenidine', u'methylone', u'mipt', u'mptp', u'nbome', u'nicotine', u'nitrous', u'opiates', u'opium', u'petroleum ether', u'piperazines', u'pcp', u'pma', u'pmma', u'psilocybin & psilocin', u'salvinorin b ethoxymethyl ether', u'scopolamine', u'"spice" product', u'ssris', u'tfmpp', u'thc', u'tma-2', u'toad venom', u'1,4-butanediol', u'2-aminoindan', u'2c-b', u'2c-b-fly', u'2c-c', u'2c-c-nbome', u'2c-d', u'2c-e', u'2c-i', u'2c-i-nbome', u'2c-p', u'2c-t-2', u'2c-t-4', u'2c-t-7', u'2c-t-21', u'3c-p', u'3-meo-pcp', u'4-acetoxy-det', u'4-acetoxy-dipt', u'4-acetoxy-dmt', u'4-acetoxy-mipt', u'4-fluoroamphetamine', u'4-fluoromethcathinone', u'4-hydroxy-dipt', u'4-hydroxy-met', u'4-hydroxy-mipt', u'4-hydroxy-mpt', u'4-meo-pcp', u'4-methylaminorex', u'4-methylmethcathinone', u'4-methylethcathinone', u'4-mta', u'5-it', u'5-meo-amt', u'5-meo-dalt', u'5-meo-dmt', u'5-meo-dipt', u'5-meo-mipt', u'6-apb', u'other chemicals']
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"""
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chem_data = Erowid.parse_page("https://erowid.org/chemicals/lsd/lsd.shtml")
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for key in chem_data:
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print key, ":", chem_data[key]
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"""
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info : {'basics': 'https://erowid.org/chemicals/lsd/lsd_basics.shtml', 'dose': 'https://erowid.org/chemicals/lsd/lsd_dose.shtml', 'health': 'https://erowid.org/chemicals/lsd/lsd_health.shtml', 'effects': 'https://erowid.org/chemicals/lsd/lsd_effects.shtml', 'images': 'https://erowid.org/chemicals/lsd/lsd_images.shtml', 'law': 'https://erowid.org/chemicals/lsd/lsd_law.shtml', 'chemistry': 'https://erowid.org/chemicals/lsd/lsd_chemistry.shtml'}
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picture : https://erowid.org/chemicals/lsd/images/lsd_summary1.jpg
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name : lsd-25
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url : https://erowid.org/chemicals/lsd/
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other_names : [u'acid', u'l', u'tabs', u'blotter', u'doses', u'trips']
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effects : Psychedelic
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chem_name : d-lysergic acid diethylamide
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description : LSD is the best known and most researched psychedelic. It is the standard against which all other psychedelics are compared. It is active at extremely low doses and is most commonly available on blotter or in liquid form.
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"""
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162
pyerowid/__init__.py
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pyerowid/__init__.py
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import requests
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from bs4 import BeautifulSoup
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import random
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__author__ = "jarbasAI"
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class Erowid(object):
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@staticmethod
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def extract_experience_text(text):
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try:
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begin_delimiter = '<!-- Start Body -->'
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begin = text.index(begin_delimiter) + len(begin_delimiter)
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end = text.index('<!-- End Body -->')
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return text[begin:end].strip().replace("<BR>", "\n").replace("<br>", "\n").replace("\n\n", " ")
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except ValueError:
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return ''
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@staticmethod
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def _extract_list(base_url):
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response = requests.get(base_url).text
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soup = BeautifulSoup(response, "lxml")
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table = soup.find('table', {'class': 'topic-chart-surround'})
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categories = table.find_all("tr", {'class': 'topic-surround'})[1:]
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fields = []
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for cat in categories:
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chem_data = {}
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name = cat.find("td", {'class': 'topic-name'})
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chem_data["url"] = base_url + name.find("a")["href"]
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chem_data["name"] = name.getText().strip().lower()
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chem_data["other_names"] = cat.find("td", {'class': 'topic-common'}).getText().strip().lower()
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chem_data["effects"] = cat.find("td", {'class': 'topic-desc'}).getText().strip().lower()
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fields.append(chem_data)
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return fields
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@staticmethod
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def get_experience(exp_id):
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base_url = 'https://erowid.org/experiences/exp.php'
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url = base_url+"?ID="+str(exp_id)
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data = {"exp_id": exp_id, "url": url}
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try:
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response = requests.get(url).text
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experience = Erowid.extract_experience_text(response)
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soup = BeautifulSoup(response, "lxml")
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drug = soup.find('div', {'class': 'substance'}).getText().strip().lower().replace("/", ", ")
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experience_data = soup.find('table', {'class': 'footdata'}).getText().strip().lower().split("\n")
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data["drug"] = drug
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data["experience"] = experience
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data["year"] = experience_data[0].split("expid:")[0].replace("exp year: ", "").strip()
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data["gender"] = experience_data[1].replace("gender: ", "").strip()
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data["age"] = experience_data[2].replace("age at time of experience: ", "").strip()
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data["date"] = experience_data[3].replace("published: ", "").split("views:")[0].strip()
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data["dosage"] = []
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dosage_table = soup.find('table', {'class': 'dosechart'})
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ts = dosage_table.find_all("td", {'align': 'right'})
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ammount = dosage_table.find_all("td", {'class': 'dosechart-amount'})
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method = dosage_table.find_all("td", {'class': 'dosechart-method'})
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substance= dosage_table.find_all("td", {'class': 'dosechart-substance'})
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form = dosage_table.find_all("td", {'class': 'dosechart-form'})
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for i in range(len(ts)):
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dosage_data = {}
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dosage_data["time"] = ts[i].getText().lower().replace("dose:", "").strip()
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dosage_data["ammount"] = ammount[i].getText().strip().lower()
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dosage_data["method"] = method[i].getText().strip().lower()
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dosage_data["substance"] = substance[i].getText().strip().lower()
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dosage_data["form"] = form[i].getText().strip().lower()
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data["dosage"].append(dosage_data)
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except Exception as e:
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return None
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return data
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@staticmethod
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def get_categories():
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base_url = 'https://erowid.org/experiences/exp_list.shtml'
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response = requests.get(base_url).text
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categories = []
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for sub in response.split("<!-- Start ")[1:]:
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sub = sub[:sub.find(" -->")]
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categories.append(sub)
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return categories
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@staticmethod
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def get_chemicals():
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base_url = 'https://erowid.org/chemicals/'
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return Erowid._extract_list(base_url)
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@staticmethod
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def get_plants():
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base_url = 'https://erowid.org/plants/'
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return Erowid._extract_list(base_url)
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@staticmethod
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def get_herbs():
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base_url = 'https://erowid.org/herbs/'
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return Erowid._extract_list(base_url)
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@staticmethod
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def get_smarts():
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base_url = 'https://erowid.org/smarts/'
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return Erowid._extract_list(base_url)
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@staticmethod
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def get_animals():
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base_url = 'https://erowid.org/animals/'
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return Erowid._extract_list(base_url)
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@staticmethod
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def parse_page(url):
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base_url = url
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if ".shtml" in base_url:
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base_url = "/".join(base_url.split("/")[:-1]) + "/"
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data = {"url": base_url}
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response = requests.get(url).text
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soup = BeautifulSoup(response, "lxml")
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data["name"] = soup.find('div', {'class': 'title-section'}).getText().strip().lower()
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picture = soup.find('div', {'class': "summary-card-topic-image"}).find("img")
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if picture:
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picture = base_url + picture["src"]
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else:
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picture = ""
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data["picture"] = picture
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data["other_names"] = [n.strip().lower() for n in soup.find('div', {'class': 'sum-common-name'}).getText().split(";")]
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data["description"] = soup.find('div', {'class': "sum-description"}).getText()
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info = soup.find('div', {'class': "summary-card-icon-surround"}).find_all("a")
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urls = {}
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for i in info:
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url = base_url + i["href"]
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name = i.find("img")["alt"].strip().lower()
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urls[name] = url
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data["info"] = urls
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if "/chem" in url or "/pharms" in url or "/smarts" in url:
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data["chem_name"] = soup.find('div', {'class': "sum-chem-name"}).getText()
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data["effects"] = soup.find('div', {'class': "sum-effects"}).getText()
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elif "/animals" in url or "/plants" in url:
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animal_data = soup.find_all('div', {'class': "fgs-row"})
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data["family"] = animal_data[0].find('div', {'class': "family"}).getText()
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data["genus"] = animal_data[1].find('div', {'class': "genus"}).getText()
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data["species"] = animal_data[2].find('div', {'class': "species"}).getText()
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data["effects"] = soup.find('div', {'class': "sum-effects"}).getText()
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elif "/herbs" in url:
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animal_data = soup.find_all('div', {'class': "fgs-row"})
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data["family"] = animal_data[0].find('div', {'class': "family"}).getText()
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data["genus"] = animal_data[1].find('div', {'class': "genus"}).getText()
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data["species"] = animal_data[2].find('div', {'class': "species"}).getText()
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data["uses"] = soup.find('div', {'class': "sum-uses"}).getText()
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return data
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@staticmethod
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def random_experience():
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exp = None
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while exp is None:
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exp = Erowid.get_experience(random.randint(1, 111451))
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return exp
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13
setup.py
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setup.py
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from setuptools import setup
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setup(
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name='py_erowid',
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version='0.1',
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packages=['pyerowid'],
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url='https://github.com/JarbasAl/py_erowid',
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license='MIT',
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author='jarbasAI',
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author_email='jarbasai@mailfence.com',
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description='unnoficial erowid api',
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install_requires=["lxml", "bs4"]
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)
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