コード例 #1
0
        public async Task <RetsClassCollection> GetClasses(IRetsClient session)
        {
            if (Classes == null)
            {
                Classes = await session.GetClassesMetadata(ResourceId);
            }

            return(Classes);
        }
コード例 #2
0
ファイル: Example.cs プロジェクト: hjnewman3/RetsConnector
        public async Task Execute()
        {
            // The first request we make to the RETS server is to login
            await Client.Connect();


            // To get to know the RETS server, we can scan the entire system to get a list of our resources, classes, object.....
            RetsSystem system = await Client.GetSystemMetadata();

            // We can also get a list of all available resources
            RetsResourceCollection resources = await Client.GetResourcesMetadata();

            // We can also get all available classes for a given resorce. Assuming your RETS server has a resource called "Property"
            RetsClassCollection classes = await Client.GetClassesMetadata("Property");


            // We can also get a list of all available objects on a given property.
            RetsObjectCollection objects = await Client.GetObjectMetadata("Property");


            // We can also get a list of all available field for the given resource and class. Assuming your RETS server has a resource called "Property" with a class called "Listing"
            RetsFieldCollection fields = await Client.GetTableMetadata("Property", "Listing");

            // We can also get all available lookup values on the given resource
            IEnumerable <RetsLookupTypeCollection> lookupTypes = await Client.GetLookupValues("Property");

            // We can also get a list of all available lookup types for a give resource and lookuptype aka fieldName
            RetsLookupTypeCollection lookupType = await Client.GetLookupValues("Property", "FieldName");

            // We can perform a search against the RETS server
            SearchRequest searchRequest = new SearchRequest("Property", "Listing");

            // Add ad many parameers to search for. Assuming the class "Listing" on the "Property" resource has a field called "matrix_unique_id" which is numeric type
            // we say give me all properties where matrix_unique_id >= 0
            searchRequest.ParameterGroup.AddParameter(new QueryParameter("matrix_unique_id", "0+"));

            // If you like to return specific columns, you can do so like this
            searchRequest.AddColumn("matrix_unique_id");
            searchRequest.AddColumn("SomeOtherColumnName");

            // This performs the search against the server
            SearchResult result = await Client.Search(searchRequest);

            // we can iterate over the results like so
            foreach (SearchResultRow row in result.GetRows())
            {
                // Each row has multiple columns, lets loop over them
                foreach (var columnName in result.GetColumns())
                {
                    // Lets get the cell value for a given column from the current row
                    SearchResultCellValue value = row.Get(columnName);

                    // you can get the value trimmed like so
                    string a = value.GetTrimmed();
                    string b = value.NullOrValue();


                    // Assuming you know the type of the returned data, you can cast the values like so
                    // Of cource you must know that the column is int type befor eyou call this
                    //int castedToIntValue = value.Get<int>();
                    //you can also do something like
                    //int? castedToIntValue = value.GetNullable<int>();
                    //DateTime? castedToIntValue = value.GetNullable<DateTime>();

                    // you can also check if the value is restricted like this
                    bool restrictedValue = value.IsRestricted;

                    // you can check if this value is a primary key
                    bool primaryKey = value.IsPrimaryKeyValue;

                    bool c = value.IsNullOrEmpty();
                    bool d = value.IsNullOrWhiteSpace();
                    bool e = value.IsNull();
                }
            }


            // Also you can extract only all value for a given column like this
            IEnumerable <SearchResultCellValue> createdAtCells = result.Pluck("CreatedAt");

            // you can also result cast the values of a given field like this
            // this will result an IEnumerable<> of all values found in the CreatedAt column
            IEnumerable <DateTime> createdAtvalues = result.Pluck <DateTime>("CreatedAt");

            // We can also download photos
            // This will return all photos for property with the primarykey 1234
            IEnumerable <FileObject> files = await Client.GetObject("Property", "Photo", new PhotoId(1234), false);

            // Here is how we can iterate over the fields
            foreach (FileObject file in files)
            {
                var filePath = $"{file.ContentId}/{file.ObjectId}{file.Extension}";

                using (FileStream output = File.Create("../../../Downloads/" + filePath))
                {
                    // file.Content has the stream object where you can write it your storage
                    file.Content.CopyTo(output);

                    // IMPORTANT: Make sure you dispose the stram after finising using it
                    file.Dispose();
                }
            }

            // you can get a specific image for a given primary key like so
            IEnumerable <FileObject> files2 = await Client.GetObject("Property", "Photo", new PhotoId(1234, 1), false);


            // you can get also get images for multiple primary keys at the same time like this
            List <PhotoId> photoIds = new List <PhotoId>()
            {
                new PhotoId(1234), new PhotoId(5678), new PhotoId(2255)
            };

            IEnumerable <FileObject> files3 = await Client.GetObject("Property", "Photo", photoIds, false);


            // When you are trying to download lots of images you must be very carfult. If you send the server too many ids at the same time
            // the server may return 404, 414, 500 or something along these lines because the request is too long.
            // Also, the server may take long time to response which will case the HTTP request to timeout.
            // So solve for the timeout issue we can increate the HTTP timeout from ConnectionOptions() object.


            // However, there is a better more reliable solution to this prblem which is the ability to batch the request into multiple request
            // Assume we want to download images for 1000 properties. Assume that each property on average has 15 photos, this will result in downloading 1000 x 15 = 15,000 images
            // We can split the 1000 properties into a smaller number like 100. This will make 10 (i.e 1000/100) request to the RETS server then return you an object of 15,000 images
            // You may want to still be careful because there will be 15,000 stored in the memory, so make sure you're not going to run our of memory
            // Anyhow, batching can easily be done like this

            IEnumerable <FileObject> batchedFiles = await Client.GetObject("Property", "Photo", photoIds, batchSize : 100);

            // Finally we can disconect
            await Client.Disconnect();

            // The above code require us to First connect, then Disconnect when we are done. Not too bad, but we can simplfy the call by using
            // a method called RoundTrip() which will first connect, execure out code, then disconnect

            // to save some code you can do call RoundTrip() which will connect, call out method, then discconnect();
            IEnumerable <FileObject> files4 = await Client.RoundTrip(async() =>
            {
                // Each batch will cause a round trip. In other words, each batch will connect, download a batch, then disconnect.
                return(await Client.GetObject("Property", "Photo", photoIds, batchSize: 20));
            });
        }