KaneAI - World’s First E2E Software Testing Agent.Book a Demo Join TestMu Conference

How to use get_movie_info method in Lemoncheesecake

Best Python code snippet using lemoncheesecake

app.py

Source:app.py

...19        movie_id = df.iloc[i[0]].id20        recommended_movies.append(df.iloc[i[0]].title)21        recommended_movies_poster.append(get_poster(movie_id, base_url))22    return recommended_movies, recommended_movies_poster23def get_movie_info(name, movie_df):24    movie_df2 = movie_df[['title', 'director', 'genres', 'cast', 'release_date', 'runtime']]25    st.sidebar.subheader('Title:')26    st.sidebar.write(movie_df2[movie_df2['title'] == name].iloc[0,0])27    st.sidebar.subheader('Director:')28    st.sidebar.write(movie_df2[movie_df2['title'] == name].iloc[0,1])29    st.sidebar.subheader('Genres:')30    st.sidebar.write(movie_df2[movie_df2['title'] == name].iloc[0,2])31    st.sidebar.subheader('Cast:')32    st.sidebar.write(movie_df2[movie_df2['title'] == name].iloc[0,3])33    st.sidebar.subheader('Release_date:')34    st.sidebar.write(movie_df2[movie_df2['title'] == name].iloc[0,4])35    st.sidebar.subheader('Runtime:')36    st.sidebar.write(str(movie_df2[movie_df2['title'] == name].iloc[0,5]))37########################38# base url tmdb api39base_url = 'https://api.themoviedb.org/3/movie/'40# import final dataset41movie_df = pickle.load(open('movies_df.pkl', 'rb'))42movie_df = pd.DataFrame(movie_df)43# get titoli film44titles = movie_df['title'].values45# import similarity matrix46similarity_matrix = pickle.load(open('similarity_matrix.pkl', 'rb'))47# titolo pagina48st.title('Movie Recommendation App')49# box selezione film50selected_film = st.selectbox(51'Insert a film name',52titles53)54# bottone raccomandazioni55if st.checkbox('Recommend'):56    # lista 10 raccomandazioni + chiamata api poster57    recommended_movies, recommended_movies_poster = get_recommandations(selected_film, movie_df, similarity_matrix, base_url)58    # 2 righe con 5 film + bottone informazioni per singolo film59    col1, col2, col3, col4, col5 = st.columns(5)60    with col1:61        check1 = st.button('Info 1')62        if check1:63            get_movie_info(recommended_movies[0], movie_df)64        st.write(recommended_movies[0])65        st.image(recommended_movies_poster[0])66          67    with col2:68        check2 = st.button('Info 2')69        if check2:70            get_movie_info(recommended_movies[1], movie_df)71        st.write(recommended_movies[1])72        st.image(recommended_movies_poster[1])73        74    with col3:75        check3 = st.button('Info 3')76        if check3:77            get_movie_info(recommended_movies[2], movie_df)78        st.write(recommended_movies[2])79        st.image(recommended_movies_poster[2])80    with col4:81        check4 = st.button('Info 4')82        if check4:83            get_movie_info(recommended_movies[3], movie_df)84        st.write(recommended_movies[3])85        st.image(recommended_movies_poster[3])86    with col5:87        check5 = st.button('Info 5')88        if check5:89            get_movie_info(recommended_movies[4], movie_df) 90        st.write(recommended_movies[4])91        st.image(recommended_movies_poster[4])92    col6, col7, col8, col9, col10 = st.columns(5)93    with col6:94        check6 = st.button('Info 6')95        if check6:96            get_movie_info(recommended_movies[5], movie_df) 97        st.write(recommended_movies[5])98        st.image(recommended_movies_poster[5])99    with col7:100        check7 = st.button('Info 7')101        if check7:102            get_movie_info(recommended_movies[6], movie_df)103        st.write(recommended_movies[6])104        st.image(recommended_movies_poster[6])105    with col8:106        check8 = st.button('Info 8')107        if check8:108            get_movie_info(recommended_movies[7], movie_df) 109        st.write(recommended_movies[7])110        st.image(recommended_movies_poster[7])111    with col9:112        check9 = st.button('Info 9')113        if check9:114            get_movie_info(recommended_movies[8], movie_df)115        st.write(recommended_movies[8])116        st.image(recommended_movies_poster[8])117    with col10:118        check10 = st.button('Info 10')119        if check10:120            get_movie_info(recommended_movies[9], movie_df)121        st.write(recommended_movies[9])122        st.image(recommended_movies_poster[9])123        ...

s_person.py

Source:s_person.py

...32            'scrap_date',33        ],34    }35    36    def get_movie_info(self, r):37        if not r:38            return "-"39        movies = []40        links = r.css('li a::attr(href)').extract()41        for l in links:42            if l.find('/movie/') > 0:43                movies.append(l.split('/')[-2])44            45        return movies46        47    def parse(self, response):48        49        if response.status ==  404:50            print("id ", self.curr_page , "not found")51            if self.curr_page < self.max_page:52                self.curr_page += 1 53                next_page_url = "https://www.bmdb.com.bd/person/" + str(self.curr_page) + "/"54                yield scrapy.Request(url=next_page_url, callback=self.parse)55                return56        57        58        item = {}59        60        item['id'] = self.curr_page61        item['scrap_date'] = datetime.today().strftime('%Y-%m-%d %H:%M')62        item['name'] = clean_result(response.css('.entry-title::text').extract_first(),None,'-',True)63        item['description'] = clean_result(response.css('.entry-content').extract_first())64        details_table = []65        for row in response.xpath('//*[@class="table"]//tr'):66            details_table.append({67                'i': row.xpath('td[1]//text()').extract_first(),68                'v': row.xpath('td[2]//text()').extract_first(),69            })70        item['details_table'] = details_table71        item['profile_pic'] = response.css(72            '#sidebar-left .wp-post-image::attr(src)').extract_first()73        74        images = response.css(75            '.thumbnails li a::attr(href)').extract()76        77        if images is None:78            item['images'] = "-"79        elif len(images) > 0:80            picked_images = []81            82            for i in images:83                if i.startswith('/person'):84                    continue85                else:86                    picked_images.append(i)87            item['images'] = json.dumps(picked_images)88        else:89            item['images'] = "-"90            91            92        item['acting'] = self.get_movie_info(response.css('#acting'))93        item['direction'] = self.get_movie_info(response.css('#direction'))94        item['writer'] = self.get_movie_info(response.css('#writer'))95        item['art'] = self.get_movie_info(response.css('#art'))96        item['choreographer'] = self.get_movie_info(response.css('#choreographer'))97        item['producer_person'] = self.get_movie_info(response.css('#producer_person'))98        item['lyricist'] = self.get_movie_info(response.css('#lyricist'))99        item['singer'] = self.get_movie_info(response.css('#singer'))100        101        print(item['id'],"/",self.max_page,' - ',item['name'])102        yield item103        if self.curr_page < self.max_page:104            self.curr_page += 1 105            next_page_url = "https://www.bmdb.com.bd/person/" + str(self.curr_page) + "/"...

03_肝个案例.py

Source:03_肝个案例.py

...7        s = "".join(lst)8        return s.strip()9    else:10        return ""11def get_movie_info(year):12    # æå1996å¹´ççµå½±ç¥¨æ¿13    f = open(f"{year}.csv", mode="w", encoding="utf-8")14    url = f"http://www.boxofficecn.com/boxoffice{year}"15    headers = {16        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.75 Safari/537.36"17    }18    resp = requests.get(url, headers=headers)19    tree = etree.HTML(resp.text)20    trs = tree.xpath("//table/tbody/tr")[1:]21    for tr in trs:22        num = tr.xpath("./td[1]//text()")23        year = tr.xpath("./td[2]//text()")24        name = tr.xpath("./td[3]//text()")25        money = tr.xpath("./td[4]//text()")26        num = str_tools(num)  # ???27        year = str_tools(year)  # ???28        name = str_tools(name)  # ???29        money = str_tools(money)  # ???30        f.write(f"{num},{year},{name},{money}\n")31if __name__ == '__main__':32    # s1 = time.time()  # å½åç³»ç»æ¶é´çæ¶é´æ³33    # for y in range(1994, 2023):34    #     get_movie_info(y)35    # s2 = time.time()  # æ§è¡ä¹åçæ¶é´æ³36    # print(s2 - s1)  # 16.2337    # ææä¸å¤å¥½. æä¸¢å¤±æ°æ®ç°è±¡.è¿ä¸ªç½ç«ä¸è½ç´æ¥è¿ä¹å¹². éè¦æ°æ®çéªè¯æèåçº¿ç¨.38    s1 = time.time()39    with ThreadPoolExecutor(20) as t:40        for y in range(1994, 2023):41            t.submit(get_movie_info, y)  # äº¤ä»»å¡42    s2 = time.time()...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.