#news_desk

[de-queens-campus]

Foundation_Talk #foundation #Day #Nostalgia_21 #de_queens #international #girls #campus #News_desk #Halva_e_bunyad #Mentors_Review_Talk #Sham_e_ghazal #foundation_Talk #campus_Tarana (at De Queens International) https://www.instagram.com/p/CTzbfYIPu2m/?utm_medium=tumblr

[glifogr]

Δείτε ΖΩΝΤΑΝΑ τη μεγάλη συναυλία του Global Citizen κατά του κορωνοϊού Με μια... https://www.glifo.gr/%ce%b4%ce%b5%ce%af%cf%84%ce%b5-%ce%b6%cf%89%ce%bd%cf%84%ce%b1%ce%bd%ce%b1-%cf%84%ce%b7-%ce%bc%ce%b5%ce%b3%ce%ac%ce%bb%ce%b7-%cf%83%cf%85%ce%bd%ce%b1%cf%85%ce%bb%ce%af%ce%b1-%cf%84%ce%bf%cf%85-global-c/?feed_id=2209&_unique_id=5ef78d9730925 #instabook #news_desk #Γενικά #Δείτε_ΖΩΝΤΑΝΑ_τη_μεγάλη_συναυλία_του_global_citizen_κατά_του_κορωνοϊού

[ahcdesign]

SI 506: Programming I (Python)

Here is my Final Project Code to create a Rest API with New York Times and the Guardian searching for Rugby articles and creating a CSV file. 

To view my code on creating the CSV file above click on ‘Keep reading’

#Angela Chih #SI 506_Final Project

import json import requests

#Use that investigation to define a class `NYTArticle` and a class `GuardianArticle` that fulfill requirements, and that you can use as tools to complete the rest of the project. #Access data from each source with data about articles, and create a list of instances of `NYTArticle` and a list of instances of `GuardianArticle`.

CACHE_FNAME = "cache_file_name.json"

# if I already have cached data, I want to load that data into a python dictionary try:    cache_file = open(CACHE_FNAME, 'r')    cache_contents = cache_file.read()    cache_diction = json.loads(cache_contents)    cache_file.close()

# if I don't have cached data, I will create an empty dictionary to save data later except:    cache_diction = {}

def params_unique_combination(baseurl, params_d, private_keys=["api_key"]):    alphabetized_keys = sorted(params_d.keys())    res = []    for k in alphabetized_keys:        if k not in private_keys:            res.append("{}-{}".format(k, params_d[k]))    return baseurl + "_".join(res)

def get_from_NYT(a):    # put together base url and parameters    baseurl = "https://api.nytimes.com/svc/search/v2/articlesearch.json"    params_diction = {}    params_diction["api_key"] = "TakenOffDueToRestrictions"    params_diction["q"] = a

   unique_ident = params_unique_combination(baseurl,params_diction)

   # see if the url identifier is already in cache dictionary    if unique_ident in cache_diction:        # if so, get data from cache dictionary and return        return cache_diction[unique_ident]

   # if not, make a new API call using the requests module    else:        resp = requests.get(baseurl, params_diction)        # Or as:        # resp = requests.get(unique_ident)

       # save the data in the cache dictionary, using unique url identifier        ## as a key and the response data as value        cache_diction[unique_ident] = json.loads(resp.text)

       # convert the cache dictionary to a JSON string        dumped_json_cache = json.dumps(cache_diction)

       # save the JSON string in the cache file        fw = open(CACHE_FNAME,"w")        fw.write(dumped_json_cache)        fw.close() # Close the open file

       # return the data        return cache_diction[unique_ident]

def get_from_Guard(a):    baseurl = "https://content.guardianapis.com/search"    params_diction = {}    params_diction["q"] = a    params_diction["show-tags"]= "contributor"    params_diction["api-key"] = "TakenOffDueToRestrictions"

   unique_ident = params_unique_combination(baseurl,params_diction)

   # see if the url identifier is already in cache dictionary    if unique_ident in cache_diction:        # if so, get data from cache dictionary and return        return cache_diction[unique_ident]

   # if not, make a new API call using the requests module    else:        resp = requests.get(baseurl, params_diction)        # Or as:        # resp = requests.get(unique_ident)

       # save the data in the cache dictionary, using unique url identifier        ## as a key and the response data as value        cache_diction[unique_ident] = json.loads(resp.text)

       # convert the cache dictionary to a JSON string        dumped_json_cache = json.dumps(cache_diction)

       # save the JSON string in the cache file        fw = open(CACHE_FNAME,"w")        fw.write(dumped_json_cache)        fw.close() # Close the open file

       # return the data        return cache_diction[unique_ident]

cache_NYT = get_from_NYT("Rugby") cache_Guard = get_from_Guard("Rugby")

###Citation: Retrieved from Week 11 Discussion problem set

class NYT(object):    def __init__(self, times_diction):        self.title = times_diction["headline"]["main"].replace(",","")        try:         self.author = times_diction["byline"]["original"].replace("By","")        except:         self.author = "Not Available"        try:         self.subject = times_diction["news_desk"]        except:         self.subject = "Not Available"        self.publication = "The New York Times"

   def words_title(self):     total_words = 0     title = self.title.split(' ')     for word in title:     total_words += 1     return total_words

   def __str__(self):     return "{},{},{},{},{}".format(self.title, self.author, self.subject, self.words_title(), self.publication)

class Guard(object):    def __init__(self, guardian_diction):        self.title = guardian_diction["webTitle"].replace("\r\n","")        self.author = guardian_diction["tags"][0]["webTitle"]        self.subject = guardian_diction["sectionName"]        self.publication = "The Guardian"

   def words_title(self):     total_words = 0     title = self.title.split(' ')     for word in title:     total_words += 1     return total_words        def __str__(self):     return "{},{},{},{},{}".format(self.title, self.author, self.subject, self.words_title(), self.publication)

list_NYT = [] for data in cache_NYT["response"]["docs"]: list_NYT.append(NYT(data)) #print(str(list_NYT[0]))

list_Guard = [] for data in cache_Guard["response"]["results"]: list_Guard.append(Guard(data))

#print(str(list_Guard[0]))

finalprj = open("articles.csv","w") finalprj.write("Article Title, Author, Subject, Number of words in Title, Publication\n")

for data in list_NYT: data_string = str(data) finalprj.write(data_string) finalprj.write('\n')

for data in list_Guard: data_string = str(data) finalprj.write(data_string) finalprj.write('\n') finalprj.close()

###Citation: Retrieved from SI506F18_ps11.py -- problem set #11

[de-queens-campus]

Sham_e_ghazal #foundation #Day #Nostalgia_21 #de_queens #international #girls #campus #News_desk #Halva_e_bunyad #Mentors_Review_Talk #Sham_e_ghazal #foundation_Talk #campus_Tarana (at De Queens International) https://www.instagram.com/p/CTzbVEvPNGU/?utm_medium=tumblr

[de-queens-campus]

campus_Tarana #foundation #Day #Nostalgia_21 #de_queens #international #girls #campus #News_desk #Halva_e_bunyad #Mentors_Review_Talk #Sham_e_ghazal #foundation_Talk #campus_Tarana (at De Queens International) https://www.instagram.com/p/CTzbN76vivE/?utm_medium=tumblr

[de-queens-campus]

News_desk #foundation #Day #Nostalgia_21 #de_queens #international #girls #campus #News_desk #Halva_e_bunyad #Mentors_Review_Talk #Sham_e_ghazal #foundation_Talk #campus_Tarana (at De Queens International) https://www.instagram.com/p/CTzJLOMvcdl/?utm_medium=tumblr

[de-queens-campus]

Halva_e_bunyad #foundation #Day #Nostalgia_21 #de_queens #international #girls #campus #News_desk #Halva_e_bunyad #Mentors_Review_Talk #Sham_e_ghazal #foundation_Talk #campus_Tarana (at De Queens International) https://www.instagram.com/p/CTzJAotvhCJ/?utm_medium=tumblr

[de-queens-campus]

#foundation #Day #Nostalgia_21 #de_queens #international #girls #campus #News_desk #Halva_e_bunyad #Mentors_Review_Talk #Sham_e_ghazal #foundation_Talk #campus_Tarana (at De Queens International) https://www.instagram.com/p/CTyl0RkPqGa/?utm_medium=tumblr

[ctgbarta24]

#ctgbarta24 #poriborton_chai #news_video #news_desk #ctgbarta24 #khulshi_tower #zakir_hossain_road #chittagong (at Ctgbarta24.com)