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()...

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