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Creating an API request with specific parameters

Currently I am using the following code to scrape https://www.nike.com/w/mens-shoes-nik1zy7ok for all shoes on the page:
import requests
import json
# I used a placeholder for the anchor parameter
uri = 'https://api.nike.com/cic/browse/v1?queryid=products&country=us&endpoint=product_feed/rollup_threads/v2?filter=marketplace(US)%26filter=language(en)%26filter=employeePrice(true)%26filter=attributeIds(0f64ecc7-d624-4e91-b171-b83a03dd8550%2C16633190-45e5-4830-a068-232ac7aea82c)%26anchor={}%26consumerChannelId=d9a5bc42-4b9c-4976-858a-f159cf99c647%26count=60'
# collect all products
store = []
with requests.Session() as session:
found_all_products = False
anchor = 0
while not found_all_products:
result = session.get(uri.format(anchor)).json()
products = result['data']['products']['products']
store += products
if len(products) < 60:
found_all_products = True
else:
anchor += 24
# filter by cloudProductId to get a dictionary with unique products
cloudProductIds = set()
unique_products = []
for product in store:
if not product['cloudProductId'] in cloudProductIds:
cloudProductIds.add(product['cloudProductId'])
unique_products.append(product)
How do I write this same api request to retrieve either the mens' shoes from this site or the womens' shoes on the womens shoes page: https://www.nike.com/w/womens-shoes-5e1x6zy7ok ? Which parameter do I need to change?

#Greg I ran your provided API link in Postman and getting different results for men and women. All I have changed in the query string parameters is UUIDs which is unique in both the cases for men it is uuids: 0f64ecc7-d624-4e91-b171-b83a03dd8550,16633190-45e5-4830-a068-232ac7aea82c and for women uuids: 16633190-45e5-4830-a068-232ac7aea82c,193af413-39b0-4d7e-ae34-558821381d3f,7baf216c-acc6-4452-9e07-39c2ca77ba32.
If you pass these 2 unique set of uuids in the query string then you will get men and women result separately as there is no other parameter which will define their identity.
Below is the code:
import json
import requests
#common query parameters
queryid = 'filteredProductsWithContext'
anonymousId = '25AFE5BE9BB9BC03DE89DBE170D80669'
language = 'en-GB'
country = 'IN'
channel = 'NIKE'
localizedRangeStr = '%7BlowestPrice%7D%E2%80%94%7BhighestPrice%7D'
#UUIDs
uuids_men = '0f64ecc7-d624-4e91-b171-b83a03dd8550,16633190-45e5-4830-a068-232ac7aea82c'
uuids_women = '16633190-45e5-4830-a068-232ac7aea82c,193af413-39b0-4d7e-ae34-558821381d3f,7baf216c-acc6-4452-9e07-39c2ca77ba32'
def get_men_result():
url = 'https://api.nike.com/cic/browse/v1?queryid=' + queryid + '&anonymousId=' + anonymousId + '&uuids=' + uuids_men + '&language=' + language + '&country=' + country + '&channel=' + channel + '&localizedRangeStr=' + localizedRangeStr
data = requests.get(url,verify = False).json()
print(data)
def get_women_result():
url = 'https://api.nike.com/cic/browse/v1?queryid=' + queryid + '&anonymousId=' + anonymousId + '&uuids=' + uuids_women + '&language=' + language + '&country=' + country + '&channel=' + channel + '&localizedRangeStr=' + localizedRangeStr
data = requests.get(url,verify = False).json()
print(data)
get_men_result()
print('-'*100)
get_women_result()
If you look at the query string which i have created for men and women you will notice that there are 6 common parameters and only uuid is unique. Also if you want you can change country, language etc for more data fetching. Please refer screenshots as well.
Men
Women

using another WS as validation Flask/Rest/Mysql

I am trying to build a simple web application with 3 web services. Two of my web services are supposed to validate if a student exist in a course or not. This is done by a simple SELECT-query. My third web service should add a student into a database, but only if the student do exist in the specific course.
This is my validation WS which should return a true/false.
#app.route('/checkStudOnCourse/<string:AppCode>/<string:ideal>', methods= ["GET"])
def checkStudOnCourseWS(AppCode, ideal):
myCursor3 = mydb.cursor()
query3 = ("SELECT studentID FROM Ideal.course WHERE applicationCode = " + "'" + AppCode + "' AND Ideal = " + "'" + ideal + "'")
myCursor3.execute(query3)
myresult3 = myCursor3.fetchall()
if len(myresult3) == 0:
return render_template('Invalid.html')
else:
return jsonify({'Student in course ': True})
Below is regResult which should do a SQL insert into a database. I only want the submit to work if the above result is "True", how can I do that? I know I have not done the INSERT query, but that is not a problem.
What I am unsure about is: How can I only let the submit be be INSERTED if the validation WS is "True".
#app.route('/register', methods=["POST", "GET"])
def regResultat():
if request.method == "POST":
Period = request.form['period']
#ProvNr = request.form['provNr']
Grade = request.form['grade']
Applicationcode = request.form['applicationcode']
#Datum = request.form['datum']
Ideal = request.form['ideal']
CheckStudOnCourse = 'http://127.0.0.1:5000/checkAppCodeWS/'+Applicationcode+'/'+Ideal
CheckStudOnResp = requests.get(CheckStudOnCourse)

At first, such syntax:
if len(myresult3) == 0, can be simplified by if myresult3, because Python evaluates that implicitly to bool.
Secondly, if you once returned from function, there is no need to write an else statement:
if len(myresult3) == 0:
return render_template('Invalid.html') # < -- in case 'True',
# it returns here, otherwise
# function keeps going"""
return jsonify({'Student in course ': True}) # < -- in case 'False', it is returned here
Focusing on your issue, you could do that:
Get your value from ws
CheckStudOnCourse = 'http://127.0.0.1:5000/checkAppCodeWS/'+Applicationcode+'/'+Ideal
CheckStudOnResp = requests.get(CheckStudOnCourse)
Extract json from it:
if result_as_json.status == 200:
result_as_json = CheckStudOnResp.json() # < -- it is now a dict
Do some checks:
if result_as_json.get('Student in course', False): # I highly suggest to use other
# convention to name json keys
# e.g. Student in course ->
# student_exists_in_course
# do your code here

Get the sequence with existing field in odoo 10

I need to get the order number related with its service order. Each service order has many bench orders. E.g.: If the service order number is 223 the bench orders related to that are 223-1, 223-2, 223-3... if SO number is 553, bench order numbers must be 553-1, 553-2, 553-3, etc.
I tried it several ways and I failed to do it. Please help me. I used Odoo sequence to do that, but it did not give the output as I want. Here is my code: (E.g.: 223 means work authorization number).
class MyDepots_so(models.Model):
_name = 'my_depots_so'
so_parts_ids = fields.One2many('tiq_so_parts', 'so_p_id', string='Add Part Details', invisible='1')
so_bo_ids = fields.One2many('my_depots.so_bo',
so_work_authorization = fields.Integer("Work Authorization#")
class SO_Parts(models.Model):
_name = 'tiq_so_parts'
so_p_id = fields.Many2one('my_depots_so',string='Add Service Order Part', invisible='1')
#api.model
def create(self, vals):
sequence = self.env['ir.sequence'].next_by_code('so.benchorder') or '/'
str_sequence = str(sequence)
query = """SELECT so_work_authorization FROM my_depots_so WHERE id=%d """ % (so_p_id)
self.env.cr.execute(query)
result = self.env.cr.fetchall()
result_number = json.dumps(result, ensure_ascii=False)
strip_number = result_number.strip('\' \" [] ')
work_auth_no = str(strip_number)
work_auth_no += "-"
work_auth_no += str_sequence

Ok, I think you are looking for something like this (I added a field to your tiq_so_parts model since you have to store the subsequence somewhere -where were you storing the 223-1, 223-2, 223-3... values?
I created the field part_sequence to store these values-).
class MyDepots_so(models.Model):
_name = 'my_depots_so'
so_parts_ids = fields.One2many('tiq_so_parts', 'so_p_id', string='Add Part Details', invisible='1')
so_bo_ids = fields.One2many('my_depots.so_bo',
so_work_authorization = fields.Integer("Work Authorization#")
class SO_Parts(models.Model):
_name = 'tiq_so_parts'
so_p_id = fields.Many2one('my_depots_so',string='Add Service Order Part', invisible='1')
part_sequence = fields.Char(string='Part Sequence')
#api.model
def create(self, vals):
so_part = super(SO_Parts, self).create(vals)
so_p_id = so_part.so_p_id
main_sequence = so_p_id.so_work_authorization
part_sequence = len(so_p_id.so_parts_ids)
so_part.write({
'part_sequence': str(main_sequence) + '-' + str(part_sequence),
})
return so_part

internal server error Flask - Python

This is my code in Python - Flask. Here I am entering data for a Theatre (Theatre table) and then fetching the respective id and then adding the screen to the respective theatre_id in the Screen table.
The problem is Theatre gets added to the database and I am able to fetch the id. The code for Screen doesn't seem to work (for loop does work if I comment out the session.screen add and commit statement)
And even the rollback doesn't happen if screen commit doesn't happen.
session_theatre = Session_theatre()
session_screen = Session_screen()
id = 1
if request.method == "POST":
if form.validate_on_submit():
name = str(form.name.data)
city = str(form.location.data)
address = str(form.address.data)
no_of_screen = int(form.total_no_screen.data)
if (name !="" and name!=" " and city != "" and city != " " and address != ""and address != " " and no_of_screen != None):
t = Theatre(name,city,address,1)
try:
session_theatre.add(t)
session_theatre.commit()
query = session_theatre.query(Theatre).filter_by(name=name,city =city).all()
for i in query :
id = i
for i in range (0,no_of_screen):
flash(id)
screen = Screen(str(i+1),1,20,1,20,id)
session_screen.add(screen)
session_screen.commit()
flash("Successfully added !!")
except :
session_screen.rollback()
session_theatre.rollback()
flash("Oops something went wrong !!")
finally:
session_screen.close()
session_theatre.close()
else :
flash("Please fill the input")
return render_template('admin/add_theatre.html',form = form)
Screen Model
class Screen(db.Model):
__tablename__ = "screens"
id = db.Column(db.Integer,primary_key=True)
screen_num = db.Column(db.String(1))
seat_row_start = db.Column(db.Integer)
seat_row_end = db.Column(db.Integer)
seat_col_start = db.Column(db.Integer)
seat_col_end = db.Column(db.Integer)
theatre_id = db.Column(db.Integer, db.ForeignKey('theatres.id'))
def __init__(self, screen_num,
seat_row_start,seat_row_end,seat_col_start,seat_col_end,theatre_id):
self.screen_num = screen_num
self.seat_row_start = seat_row_start
self.seat_row_end = seat_row_end
self.seat_col_start = seat_col_start
self.seat_col_end = seat_col_end
self.theatre_id = theatre_id

To get a list from the query for session_theatre you have to add all() at the end:
query = session_theatre.query(Theatre).filter_by(name=name,city =city).all()
The query returns a list of Theatre objects and you can access the id attribute of each Theatre object iterating over the list and accessing the attribute by its name:
for obj in query :
for i in range (0,no_of_screen):
flash(obj.id)
screen = Screen(i+1,1,20,1,20,obj.id)
session_screen.add(screen)
session_screen.commit()

Reduce RAM usage in Python script

I've written a quick little program to scrape book data off of a UNESCO website which contains information about book translations. The code is doing what I want it to, but by the time it's processed about 20 countries, it's using ~6GB of RAM. Since there are around 200 I need to process, this isn't going to work for me.
I'm not sure where all the RAM usage is coming from, so I'm not sure how to reduce it. I'm assuming that it's the dictionary that's holding all the book information, but I'm not positive. I'm not sure if I should simply make the program run once for each country, rather than processing the lot of them? Or if there's a better way to do it?
This is the first time I've written anything like this, and I'm a pretty novice, self-taught programmer, so please point out any significant flaws in the code, or improvement tips you have that may not directly relate to the question at hand.
This is my code, thanks in advance for any assistance.
from __future__ import print_function
import urllib2, os
from bs4 import BeautifulSoup, SoupStrainer
''' Set list of countries and their code for niceness in explaining what
is actually going on as the program runs. '''
countries = {"AFG":"Afghanistan","ALA":"Aland Islands","DZA":"Algeria"}
'''List of country codes since dictionaries aren't sorted in any
way, this makes processing easier to deal with if it fails at
some point, mid run.'''
country_code_list = ["AFG","ALA","DZA"]
base_url = "http://www.unesco.org/xtrans/bsresult.aspx?lg=0&c="
destination_directory = "/Users/robbie/Test/"
only_restable = SoupStrainer(class_="restable")
class Book(object):
def set_author(self,book):
'''Parse the webpage to find author names. Finds last name, then
first name of original author(s) and sets the Book object's
Author attribute to the resulting string.'''
authors = ""
author_last_names = book.find_all('span',class_="sn_auth_name")
author_first_names = book.find_all('span', attrs={\
'class':"sn_auth_first_name"})
if author_last_names == []: self.Author = [" "]
for author in author_last_names:
try:
first_name = author_first_names.pop()
authors = authors + author.getText() + ', ' + \
first_name.getText()
except IndexError:
authors = authors + (author.getText())
self.author = authors
def set_quality(self,book):
''' Check to see if book page is using Quality, then set it if
so.'''
quality = book.find_all('span', class_="sn_auth_quality")
if len(quality) == 0: self.quality = " "
else: self.quality = quality[0].contents[0]
def set_target_title(self,book):
target_title = book.find_all('span', class_="sn_target_title")
if len(target_title) == 0: self.target_title = " "
else: self.target_title = target_title[0].contents[0]
def set_target_language(self,book):
target_language = book.find_all('span', class_="sn_target_lang")
if len(target_language) == 0: self.target_language = " "
else: self.target_language = target_language[0].contents[0]
def set_translator_name(self,book) :
translators = ""
translator_last_names = book.find_all('span', class_="sn_transl_name")
translator_first_names = book.find_all('span', \
class_="sn_transl_first_name")
if translator_first_names == [] and translator_last_names == [] :
self.translators = " "
return None
for translator in translator_last_names:
try:
first_name = translator_first_names.pop()
translators = translators + \
(translator.getText() + ',' \
+ first_name.getText())
except IndexError:
translators = translators + \
(translator.getText())
self.translators = translators
def set_published_city(self,book) :
published_city = book.find_all('span', class_="place")
if len(published_city) == 0:
self.published_city = " "
else: self.published_city = published_city[0].contents[0]
def set_publisher(self,book) :
publisher = book.find_all('span', class_="place")
if len(publisher) == 0:
self.publisher = " "
else: self.publisher = publisher[0].contents[0]
def set_published_country(self,book) :
published_country = book.find_all('span', \
class_="sn_country")
if len(published_country) == 0:
self.published_country = " "
else: self.published_country = published_country[0].contents[0]
def set_year(self,book) :
year = book.find_all('span', class_="sn_year")
if len(year) == 0:
self.year = " "
else: self.year = year[0].contents[0]
def set_pages(self,book) :
pages = book.find_all('span', class_="sn_pagination")
if len(pages) == 0:
self.pages = " "
else: self.pages = pages[0].contents[0]
def set_edition(self, book) :
edition = book.find_all('span', class_="sn_editionstat")
if len(edition) == 0:
self.edition = " "
else: self.edition = edition[0].contents[0]
def set_original_title(self,book) :
original_title = book.find_all('span', class_="sn_orig_title")
if len(original_title) == 0:
self.original_title = " "
else: self.original_title = original_title[0].contents[0]
def set_original_language(self,book) :
languages = ''
original_languages = book.find_all('span', \
class_="sn_orig_lang")
for language in original_languages:
languages = languages + language.getText() + ', '
self.original_languages = languages
def export(self, country):
''' Function to allow us to easilly pull the text from the
contents of the Book object's attributes and write them to the
country in which the book was published's CSV file.'''
file_name = os.path.join(destination_directory + country + ".csv")
with open(file_name, "a") as by_country_csv:
print(self.author.encode('UTF-8') + " & " + \
self.quality.encode('UTF-8') + " & " + \
self.target_title.encode('UTF-8') + " & " + \
self.target_language.encode('UTF-8') + " & " + \
self.translators.encode('UTF-8') + " & " + \
self.published_city.encode('UTF-8') + " & " + \
self.publisher.encode('UTF-8') + " & " + \
self.published_country.encode('UTF-8') + " & " + \
self.year.encode('UTF-8') + " & " + \
self.pages.encode('UTF-8') + " & " + \
self.edition.encode('UTF-8') + " & " + \
self.original_title.encode('UTF-8') + " & " + \
self.original_languages.encode('UTF-8'), file=by_country_csv)
by_country_csv.close()
def __init__(self, book, country):
''' Initialize the Book object by feeding it the HTML for its
row'''
self.set_author(book)
self.set_quality(book)
self.set_target_title(book)
self.set_target_language(book)
self.set_translator_name(book)
self.set_published_city(book)
self.set_publisher(book)
self.set_published_country(book)
self.set_year(book)
self.set_pages(book)
self.set_edition(book)
self.set_original_title(book)
self.set_original_language(book)
def get_all_pages(country,base_url):
''' Create a list of URLs to be crawled by adding the ISO_3166-1_alpha-3
country code to the URL and then iterating through the results every 10
pages. Returns a string.'''
base_page = urllib2.urlopen(base_url+country)
page = BeautifulSoup(base_page, parse_only=only_restable)
result_number = page.find_all('td',class_="res1",limit=1)
if not result_number:
return 0
str_result_number = str(result_number[0].getText())
results_total = int(str_result_number.split('/')[1])
page.decompose()
return results_total
def build_list(country_code_list, countries):
''' Build the list of all the books, and return a list of Book objects
in case you want to do something with them in something else, ever.'''
for country in country_code_list:
print("Processing %s now..." % countries[country])
results_total = get_all_pages(country, base_url)
for url in range(results_total):
if url % 10 == 0 :
all_books = []
target_page = urllib2.urlopen(base_url + country \
+"&fr="+str(url))
page = BeautifulSoup(target_page, parse_only=only_restable)
books = page.find_all('td',class_="res2")
for book in books:
all_books.append(Book (book,country))
page.decompose()
for title in all_books:
title.export(country)
return
if __name__ == "__main__":
build_list(country_code_list,countries)
print("Completed.")

I guess I'll just list off some of the problems or possible improvements in no particular order:
Follow PEP 8.
Right now, you've got lots of variables and functions named using camel-case like setAuthor. That's not the conventional style for Python; Python would typically named that set_author (and published_country rather than PublishedCountry, etc.). You can even change the names of some of the things you're calling: for one, BeautifulSoup supports findAll for compatibility, but find_all is recommended.
Besides naming, PEP 8 also specifies a few other things; for example, you'd want to rewrite this:
if len(resultNumber) == 0 : return 0
as this:
if len(result_number) == 0:
return 0
or even taking into account the fact that empty lists are falsy:
if not result_number:
return 0
Pass a SoupStrainer to BeautifulSoup.
The information you're looking for is probably in only part of the document; you don't need to parse the whole thing into a tree. Pass a SoupStrainer as the parse_only argument to BeautifulSoup. This should reduce memory usage by discarding unnecessary parts early.
decompose the soup when you're done with it.
Python primarily uses reference counting, so removing all circular references (as decompose does) should let its primary mechanism for garbage collection, reference counting, free up a lot of memory. Python also has a semi-traditional garbage collector to deal with circular references, but reference counting is much faster.
Don't make Book.__init__ write things to disk.
In most cases, I wouldn't expect just creating an instance of a class to write something to disk. Remove the call to export; let the user call export if they want it to be put on the disk.
Stop holding on to so much data in memory.
You're accumulating all this data into a dictionary just to export it afterwards. The obvious thing to do to reduce memory is to dump it to disk as soon as possible. Your comment indicates that you're putting it in a dictionary to be flexible; but that doesn't mean you have to collect it all in a list: use a generator, yielding items as you scrape them. Then the user can iterate over it just like a list:
for book in scrape_books():
book.export()
…but with the advantage that at most one book will be kept in memory at a time.
Use the functions in os.path rather than munging paths yourself.
Your code right now is rather fragile when it comes to path names. If I accidentally removed the trailing slash from destinationDirectory, something unintended happens. Using os.path.join prevents that from happening and deals with cross-platform differences:
>>> os.path.join("/Users/robbie/Test/", "USA")
'/Users/robbie/Test/USA'
>>> os.path.join("/Users/robbie/Test", "USA") # still works!
'/Users/robbie/Test/USA'
>>> # or say we were on Windows:
>>> os.path.join(r"C:\Documents and Settings\robbie\Test", "USA")
'C:\\Documents and Settings\\robbie\\Test\\USA'
Abbreviate attrs={"class":...} to class_=....
BeautifulSoup 4.1.2 introduces searching with class_, which removes the need for the verbose attrs={"class":...}.
I imagine there are even more things you can change, but that's quite a few to start with.

What do you want the booklist for, in the end? You should export each book at the end of the "for url in range" block (inside it), and do without the allbooks dict. If you really need a list, define exactly what infos you will need, not keeping full Book objects.