我正在尝试构建一个Android应用,该应用使用Retrofit 2,Realm和The Movie Database API实现协作过滤算法。 当进行我的Retrofit回调时,onResponse返回成功的状态码(200),但是从日志记录中我得到我的response.body()。getResults返回null。我现在在这个泡菜中,我无法使它正常工作。我的ApiService似乎运行良好,我进行了其他改型回调,以获取导演,按标题排列的电影,按发行日期排列的电影。无论如何,这是一些代码片段可能会有所帮助。
APIService.java
package com.yannis.thesis.movierecommendationapp.api;
import com.yannis.thesis.movierecommendationapp.models.DirectorResponse;
import com.yannis.thesis.movierecommendationapp.models.GenreResponse;
import com.yannis.thesis.movierecommendationapp.models.Movie;
import com.yannis.thesis.movierecommendationapp.models.MovieResponse;
import com.yannis.thesis.movierecommendationapp.models.PrimaryMovieInfo;
import retrofit2.Call;
import retrofit2.http.GET;
import retrofit2.http.POST;
import retrofit2.http.Path;
import retrofit2.http.Query;
public interface APIService {
@POST("/list")
Call<Movie> loadMovie();
@GET("movie/top_rated")
Call<MovieResponse> getTopRatedMovies(@Query("api_key") String apiKey);
@GET("movie/popular")
Call<MovieResponse> getPopularMovies(@Query("api_key") String apiKey);
@GET("movie/{id}")
Call<MovieResponse> getMovieDetails(@Path("id") int id, @Query("api_key") String apiKey);
@GET("search/movie")
Call<MovieResponse> getMovieByTitle(@Query("query") String title, @Query("api_key") String apiKey);
}
MovieResponse.java
package com.yannis.thesis.movierecommendationapp.models;
import com.google.gson.annotations.Expose;
import com.google.gson.annotations.SerializedName;
import java.util.List;
public class MovieResponse {
@SerializedName("page")
private Integer page;
@SerializedName("results")
private List<Movie> results;
@SerializedName("total_results")
private Integer totalResults;
@SerializedName("total_pages")
private Integer totalPages;
public Integer getPage() {
return page;
}
public void setPage(Integer page) {
this.page = page;
}
public List<Movie> getResults() {
return results;
}
public void setResults(List<Movie> results) {
this.results = results;
}
public Integer getTotalResults() {
return totalResults;
}
public void setTotalResults(Integer totalResults) {
this.totalResults = totalResults;
}
public Integer getTotalPages() {
return totalPages;
}
public void setTotalPages(Integer totalPages) {
this.totalPages = totalPages;
}
}
MovieRecommendationApp.java
package com.yannis.thesis.movierecommendationapp;
import android.app.Application;
import android.support.annotation.NonNull;
import android.support.v4.view.PagerAdapter;
import android.support.v7.widget.DefaultItemAnimator;
import android.support.v7.widget.LinearLayoutManager;
import android.support.v7.widget.RecyclerView;
import android.util.Log;
import android.view.LayoutInflater;
import android.view.View;
import android.view.ViewGroup;
import android.widget.AdapterView;
import android.widget.ArrayAdapter;
import android.widget.Button;
import android.widget.EditText;
import android.widget.Spinner;
import android.widget.Toast;
import com.luseen.logger.LogType;
import com.luseen.logger.Logger;
import com.weiwangcn.betterspinner.library.BetterSpinner;
import com.yannis.thesis.movierecommendationapp.activities.BaseActivity;
import com.yannis.thesis.movierecommendationapp.activities.MainActivity;
import com.yannis.thesis.movierecommendationapp.api.APIService;
import com.yannis.thesis.movierecommendationapp.models.DirectorResponse;
import com.yannis.thesis.movierecommendationapp.models.DirectorResult;
import com.yannis.thesis.movierecommendationapp.models.Genre;
import com.yannis.thesis.movierecommendationapp.models.GenreResponse;
import com.yannis.thesis.movierecommendationapp.models.MainPagerEnum;
import com.yannis.thesis.movierecommendationapp.models.Movie;
import com.yannis.thesis.movierecommendationapp.models.MovieResponse;
import com.yannis.thesis.movierecommendationapp.models.MovieRecommendedForUser;
import com.yannis.thesis.movierecommendationapp.models.Recommendation;
import com.yannis.thesis.movierecommendationapp.models.User;
import com.yannis.thesis.movierecommendationapp.models.UserRatesMovie;
import com.yannis.thesis.movierecommendationapp.MovieRecommendationApp;
import com.yannis.thesis.movierecommendationapp.R;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Date;
import java.util.HashMap;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import butterknife.BindView;
import butterknife.ButterKnife;
import butterknife.OnClick;
import io.realm.Realm;
import io.realm.RealmConfiguration;
import io.realm.RealmQuery;
import io.realm.RealmResults;
import io.realm.Sort;
import okhttp3.Call;
import okhttp3.Callback;
import okhttp3.Headers;
import okhttp3.OkHttpClient;
import okhttp3.Request;
import okhttp3.Response;
import okhttp3.ResponseBody;
import retrofit2.Retrofit;
import retrofit2.converter.gson.GsonConverterFactory;
public class MovieRecommendationApp extends Application {
private static MovieRecommendationApp instance;
public BaseActivity lastActivity;
String API_BASE_URL = "http://api.themoviedb.org/3/";
private final static String API_KEY = "******************";
private static Retrofit retrofitinstance;
private String loggedInUserId;
private Realm realm;
final Double SIMILARITY_PILLOW = 0.5;
final Double PREDICTION_PILLOW = 3.0;
private APIService client;
OkHttpClient.Builder httpClient = new OkHttpClient.Builder();
Retrofit.Builder builder =
new Retrofit.Builder()
.baseUrl(API_BASE_URL)
.addConverterFactory(
GsonConverterFactory.create()
);
Retrofit retrofit =
builder
.client(
httpClient.build()
)
.build();
retrofit2.Call<MovieResponse> call;
@Override
public void onCreate() {
super.onCreate();
instance = this;
Realm.init(this);
RealmConfiguration config = new RealmConfiguration.Builder()
.name("myrealmDB.realm")
.deleteRealmIfMigrationNeeded()
.build();
Realm.setDefaultConfiguration(config);
new Logger.Builder()
.isLoggable(BuildConfig.DEBUG)
.logType(LogType.WARN)
.tag("Iamerror")
.build();
realm = Realm.getDefaultInstance();
MovieRecommendationAlgorithm();
}
public static MovieRecommendationApp getInstance() {
return instance;
}
public static Retrofit getRetrofitInstance() {
return retrofitinstance;
}
public static String getApiKey() {
return API_KEY;
}
public void MovieRecommendationAlgorithm() {
prediction("activeUserId","637",neighbours);
}
public void prediction(String activeUserId, String notYetRatedMovieId,ArrayList<String> neightbours) {
Double activeAVG = avgRating(activeUserId);
Double A = 0.0;
Double B = 0.0;
for (int i = 0; i < neightbours.size(); i++) {
avgRating(neightbours.get(i));
A = A + similarity(activeUserId, neightbours.get(i)) * (getUser_i_MovieRating(neightbours.get(i), notYetRatedMovieId) - avgRating(neightbours.get(i)));
B = B + similarity(activeUserId, neightbours.get(i));
}
final Double prediction = activeAVG + A / B;
if (prediction < PREDICTION_PILLOW) {
return;
}
int movieId = Integer.parseInt(notYetRatedMovieId);
client = retrofit.create(APIService.class);
call = client.getMovieDetails(movieId, MovieRecommendationApp.getApiKey());
call.enqueue(new retrofit2.Callback<MovieResponse>() {
@Override
public void onResponse(retrofit2.Call<MovieResponse> call, retrofit2.Response<MovieResponse> response) {
int statusCode = response.code();
if (response.isSuccessful() == false) {
Logger.w("unsuccessful w status", String.valueOf(statusCode));
} else {
//problem is in this spot
Logger.w( " reponse body is " + response.body().getResults());
}
// Logger.e("Number of movies received: " + movies.size());
}
@Override
public void onFailure(retrofit2.Call<MovieResponse> call, Throwable t) {
}
});
}
}
我使用邮递员仔细检查了API调用-调用https://api.themoviedb.org/3/movie/637?api_key=*********&language=en-US
给我想要的JSON正文。
谢谢您的时间和帮助。
答案 0 :(得分:0)
我不知道这是否会有所帮助,但是在这里:if (response.isSuccessful() == false)
将布尔方法isSuccessful()与false进行比较是很奇怪的,该方法已经返回了布尔值。
答案 1 :(得分:0)
在电影数据库api论坛中搜索后,我发现了这个[https://www.themoviedb.org/talk/5667650ec3a36836970002bc][1] 其中指出:“我们当前支持的唯一方法是通过查询参数。”我的问题很有可能与我使用@Path参数而不是@Query参数有关。 因此,现在百万美元的问题是如何转换
@GET("movie/{id}")
Call<MovieResponse> getMovieDetails(@Path("id") int id, @Query("api_key") String apiKey);
使用@Query注释进行呼叫。