using Microsoft.VisualStudio.TestTools.UnitTesting;
using System;
using System.Collections.Generic;
using Tensorflow;
using Buffer = Tensorflow.Buffer;
using static Tensorflow.Binding;

namespace TensorFlowNET.UnitTest
{
 [TestClass]
 public class GraphTest : CApiTest
 {
 /// <summary>
 /// Port from c_api_test.cc
 /// `TEST(CAPI, Graph)`
 /// </summary>
 [TestMethod]
 public void Graph()
 {
 var s = new Status();
 var graph = new Graph();

 // Make a placeholder operation.
 var feed = c_test_util.Placeholder(graph, s);
 EXPECT_EQ("feed", feed.name);
 EXPECT_EQ("Placeholder", feed.OpType);
 EXPECT_EQ("", feed.Device);
 EXPECT_EQ(1, feed.NumOutputs);
 EXPECT_EQ(TF_DataType.TF_INT32, feed.OutputType(0));
 EXPECT_EQ(1, feed.OutputListLength("output"));
 EXPECT_EQ(0, feed.NumInputs);
 EXPECT_EQ(0, feed.OutputNumConsumers(0));
 EXPECT_EQ(0, feed.NumControlInputs);
 EXPECT_EQ(0, feed.NumControlOutputs);

 AttrValue attr_value = null;
 ASSERT_TRUE(c_test_util.GetAttrValue(feed, "dtype", ref attr_value, s));
 EXPECT_EQ(attr_value.Type, DataType.DtInt32);

 // Test not found errors in TF_Operation*() query functions.
 EXPECT_EQ(-1, c_api.TF_OperationOutputListLength(feed, "bogus", s));
 EXPECT_EQ(TF_Code.TF_INVALID_ARGUMENT, s.Code);
 Assert.IsFalse(c_test_util.GetAttrValue(feed, "missing", ref attr_value, s));
 EXPECT_EQ("Operation 'feed' has no attr named 'missing'.", s.Message);

 // Make a constant oper with the scalar "3".
 var three = c_test_util.ScalarConst(3, graph, s);
 EXPECT_EQ(TF_Code.TF_OK, s.Code);

 // Add oper.
 var add = c_test_util.Add(feed, three, graph, s);
 EXPECT_EQ(TF_Code.TF_OK, s.Code);

 // Test TF_Operation*() query functions.
 EXPECT_EQ("add", add.name);
 EXPECT_EQ("AddN", add.OpType);
 EXPECT_EQ("", add.Device);
 EXPECT_EQ(1, add.NumOutputs);
 EXPECT_EQ(TF_DataType.TF_INT32, add.OutputType(0));
 EXPECT_EQ(1, add.OutputListLength("sum"));
 EXPECT_EQ(TF_Code.TF_OK, s.Code);
 EXPECT_EQ(2, add.InputListLength("inputs"));
 EXPECT_EQ(TF_Code.TF_OK, s.Code);
 EXPECT_EQ(TF_DataType.TF_INT32, add.InputType(0));
 EXPECT_EQ(TF_DataType.TF_INT32, add.InputType(1));
 var add_in_0 = add.Input(0);
 EXPECT_EQ(feed, add_in_0.oper);
 EXPECT_EQ(0, add_in_0.index);
 var add_in_1 = add.Input(1);
 EXPECT_EQ(three, add_in_1.oper);
 EXPECT_EQ(0, add_in_1.index);
 EXPECT_EQ(0, add.OutputNumConsumers(0));
 EXPECT_EQ(0, add.NumControlInputs);
 EXPECT_EQ(0, add.NumControlOutputs);

 ASSERT_TRUE(c_test_util.GetAttrValue(add, "T", ref attr_value, s));
 EXPECT_EQ(DataType.DtInt32, attr_value.Type);
 ASSERT_TRUE(c_test_util.GetAttrValue(add, "N", ref attr_value, s));
 EXPECT_EQ(2, (int)attr_value.I);

 // Placeholder oper now has a consumer.
 EXPECT_EQ(1, feed.OutputNumConsumers(0));
 TF_Input[] feed_port = feed.OutputConsumers(0, 1);
 EXPECT_EQ(1, feed_port.Length);
 EXPECT_EQ(add, feed_port[0].oper);
 EXPECT_EQ(0, feed_port[0].index);

 // The scalar const oper also has a consumer.
 EXPECT_EQ(1, three.OutputNumConsumers(0));
 TF_Input[] three_port = three.OutputConsumers(0, 1);
 EXPECT_EQ(add, three_port[0].oper);
 EXPECT_EQ(1, three_port[0].index);

 // Serialize to GraphDef.
 var graph_def = c_test_util.GetGraphDef(graph);

 // Validate GraphDef is what we expect.
 bool found_placeholder = false;
 bool found_scalar_const = false;
 bool found_add = false;
 foreach (var n in graph_def.Node)
 {
 if (c_test_util.IsPlaceholder(n))
 {
 Assert.IsFalse(found_placeholder);
 found_placeholder = true;
 }
 else if (c_test_util.IsScalarConst(n, 3))
 {
 Assert.IsFalse(found_scalar_const);
 found_scalar_const = true;
 }
 else if (c_test_util.IsAddN(n, 2))
 {
 Assert.IsFalse(found_add);
 found_add = true;
 }
 else
 {
 Assert.Fail($"Unexpected NodeDef: {n}");
 }
 }
 ASSERT_TRUE(found_placeholder);
 ASSERT_TRUE(found_scalar_const);
 ASSERT_TRUE(found_add);

 // Add another oper to the graph.
 var neg = c_test_util.Neg(add, graph, s);
 EXPECT_EQ(TF_Code.TF_OK, s.Code);

 // Serialize to NodeDef.
 var node_def = neg.node_def;

 // Validate NodeDef is what we expect.
 ASSERT_TRUE(c_test_util.IsNeg(node_def, "add"));

 // Serialize to GraphDef.
 var graph_def2 = c_test_util.GetGraphDef(graph);

 // Compare with first GraphDef + added NodeDef.
 graph_def.Node.Add(node_def);
 EXPECT_EQ(graph_def, graph_def2);

 // Look up some nodes by name.
 Operation neg2 = c_api.TF_GraphOperationByName(graph, "neg");
 EXPECT_EQ(neg, neg2);
 var node_def2 = neg2.node_def;
 EXPECT_EQ(node_def, node_def2);

 Operation feed2 = c_api.TF_GraphOperationByName(graph, "feed");
 EXPECT_EQ(feed, feed2);
 node_def = feed.node_def;
 node_def2 = feed2.node_def;
 EXPECT_EQ(node_def, node_def2);

 // Test iterating through the nodes of a graph.
 found_placeholder = false;
 found_scalar_const = false;
 found_add = false;
 bool found_neg = false;
 uint pos = 0;
 Operation oper;

 while ((oper = c_api.TF_GraphNextOperation(graph, ref pos)) != IntPtr.Zero)
 {
 if (oper.Equals(feed))
 {
 Assert.IsFalse(found_placeholder);
 found_placeholder = true;
 }
 else if (oper.Equals(three))
 {
 Assert.IsFalse(found_scalar_const);
 found_scalar_const = true;
 }
 else if (oper.Equals(add))
 {
 Assert.IsFalse(found_add);
 found_add = true;
 }
 else if (oper.Equals(neg))
 {
 Assert.IsFalse(found_neg);
 found_neg = true;
 }
 else
 {
 node_def = oper.node_def;
 Assert.Fail($"Unexpected Node: {node_def.ToString()}");
 }
 }

 ASSERT_TRUE(found_placeholder);
 ASSERT_TRUE(found_scalar_const);
 ASSERT_TRUE(found_add);
 ASSERT_TRUE(found_neg);

 graph.Dispose();
 s.Dispose();
 }

 /// <summary>
 /// Port from c_api_test.cc
 /// `TEST(CAPI, ImportGraphDef)`
 /// </summary>
 [TestMethod]
 public void ImportGraphDef()
 {
 var s = new Status();
 var graph = new Graph().as_default();

 // Create a simple graph.
 c_test_util.Placeholder(graph, s);
 var oper = c_test_util.ScalarConst(3, graph, s);
 c_test_util.Neg(oper, graph, s);

 // Export to a GraphDef.
 var graph_def = new Buffer();
 c_api.TF_GraphToGraphDef(graph, graph_def, s);
 EXPECT_EQ(TF_Code.TF_OK, s.Code);

 // Import it, with a prefix, in a fresh graph.
 graph.Dispose();
 graph = new Graph().as_default();
 var opts = c_api.TF_NewImportGraphDefOptions();
 c_api.TF_ImportGraphDefOptionsSetPrefix(opts, "imported");
 c_api.TF_GraphImportGraphDef(graph, graph_def, opts, s);
 EXPECT_EQ(TF_Code.TF_OK, s.Code);

 Operation scalar = graph.OperationByName("imported/scalar");
 Operation feed = graph.OperationByName("imported/feed");
 Operation neg = graph.OperationByName("imported/neg");

 // Test basic structure of the imported graph.
 EXPECT_EQ(0, scalar.NumInputs);
 EXPECT_EQ(0, feed.NumInputs);
 EXPECT_EQ(1, neg.NumInputs);

 var neg_input = neg.Input(0);
 EXPECT_EQ(scalar, neg_input.oper);
 EXPECT_EQ(0, neg_input.index);

 // Test that we can't see control edges involving the source and sink nodes.
 EXPECT_EQ(0, scalar.NumControlInputs);
 EXPECT_EQ(0, scalar.GetControlInputs().Length);
 EXPECT_EQ(0, scalar.NumControlOutputs);
 EXPECT_EQ(0, scalar.GetControlOutputs().Length);

 EXPECT_EQ(0, feed.NumControlInputs);
 EXPECT_EQ(0, feed.GetControlInputs().Length);
 EXPECT_EQ(0, feed.NumControlOutputs);
 EXPECT_EQ(0, feed.GetControlOutputs().Length);

 EXPECT_EQ(0, neg.NumControlInputs);
 EXPECT_EQ(0, neg.GetControlInputs().Length);
 EXPECT_EQ(0, neg.NumControlOutputs);
 EXPECT_EQ(0, neg.GetControlOutputs().Length);

 // Import it again, with an input mapping, return outputs, and a return
 // operation, into the same graph.
 c_api.TF_DeleteImportGraphDefOptions(opts);
 opts = c_api.TF_NewImportGraphDefOptions();
 c_api.TF_ImportGraphDefOptionsSetPrefix(opts, "imported2");
 c_api.TF_ImportGraphDefOptionsAddInputMapping(opts, "scalar", 0, new TF_Output(scalar, 0));
 c_api.TF_ImportGraphDefOptionsAddReturnOutput(opts, "feed", 0);
 c_api.TF_ImportGraphDefOptionsAddReturnOutput(opts, "scalar", 0);
 EXPECT_EQ(2, c_api.TF_ImportGraphDefOptionsNumReturnOutputs(opts));
 c_api.TF_ImportGraphDefOptionsAddReturnOperation(opts, "scalar");
 EXPECT_EQ(1, c_api.TF_ImportGraphDefOptionsNumReturnOperations(opts));
 var results = c_api.TF_GraphImportGraphDefWithResults(graph, graph_def, opts, s);
 EXPECT_EQ(TF_Code.TF_OK, s.Code);

 Operation scalar2 = graph.OperationByName("imported2/scalar");
 Operation feed2 = graph.OperationByName("imported2/feed");
 Operation neg2 = graph.OperationByName("imported2/neg");

 // Check input mapping
 neg_input = neg.Input(0);
 EXPECT_EQ(scalar, neg_input.oper);
 EXPECT_EQ(0, neg_input.index);

 // Check return outputs
 var return_outputs = graph.ReturnOutputs(results);
 ASSERT_EQ(2, return_outputs.Length);
 EXPECT_EQ(feed2, return_outputs[0].oper);
 EXPECT_EQ(0, return_outputs[0].index);
 EXPECT_EQ(scalar, return_outputs[1].oper); // remapped
 EXPECT_EQ(0, return_outputs[1].index);

 // Check return operation
 var return_opers = graph.ReturnOperations(results);
 ASSERT_EQ(1, return_opers.Length);
 EXPECT_EQ(scalar2, return_opers[0]); // not remapped
 c_api.TF_DeleteImportGraphDefResults(results);

 // Import again, with control dependencies, into the same graph.
 c_api.TF_DeleteImportGraphDefOptions(opts);
 opts = c_api.TF_NewImportGraphDefOptions();
 c_api.TF_ImportGraphDefOptionsSetPrefix(opts, "imported3");
 c_api.TF_ImportGraphDefOptionsAddControlDependency(opts, feed);
 c_api.TF_ImportGraphDefOptionsAddControlDependency(opts, feed2);
 c_api.TF_GraphImportGraphDef(graph, graph_def, opts, s);
 EXPECT_EQ(TF_Code.TF_OK, s.Code);

 var scalar3 = graph.OperationByName("imported3/scalar");
 var feed3 = graph.OperationByName("imported3/feed");
 var neg3 = graph.OperationByName("imported3/neg");
 ASSERT_TRUE(scalar3 != IntPtr.Zero);
 ASSERT_TRUE(feed3 != IntPtr.Zero);
 ASSERT_TRUE(neg3 != IntPtr.Zero);

 // Check that newly-imported scalar and feed have control deps (neg3 will
 // inherit them from input)
 var control_inputs = scalar3.GetControlInputs();
 ASSERT_EQ(2, scalar3.NumControlInputs);
 EXPECT_EQ(feed, control_inputs[0]);
 EXPECT_EQ(feed2, control_inputs[1]);

 control_inputs = feed3.GetControlInputs();
 ASSERT_EQ(2, feed3.NumControlInputs);
 EXPECT_EQ(feed, control_inputs[0]);
 EXPECT_EQ(feed2, control_inputs[1]);

 // Export to a graph def so we can import a graph with control dependencies
 graph_def = new Buffer();
 c_api.TF_GraphToGraphDef(graph, graph_def, s);
 EXPECT_EQ(TF_Code.TF_OK, s.Code);

 // Import again, with remapped control dependency, into the same graph
 c_api.TF_DeleteImportGraphDefOptions(opts);
 opts = c_api.TF_NewImportGraphDefOptions();
 c_api.TF_ImportGraphDefOptionsSetPrefix(opts, "imported4");
 c_api.TF_ImportGraphDefOptionsRemapControlDependency(opts, "imported/feed", feed);
 c_api.TF_GraphImportGraphDef(graph, graph_def, opts, s);
 ASSERT_EQ(TF_Code.TF_OK, s.Code);

 var scalar4 = graph.OperationByName("imported4/imported3/scalar");
 var feed4 = graph.OperationByName("imported4/imported2/feed");

 // Check that imported `imported3/scalar` has remapped control dep from
 // original graph and imported control dep
 control_inputs = scalar4.GetControlInputs();
 ASSERT_EQ(2, scalar4.NumControlInputs);
 EXPECT_EQ(feed, control_inputs[0]);
 EXPECT_EQ(feed4, control_inputs[1]);

 c_api.TF_DeleteImportGraphDefOptions(opts);

 // Can add nodes to the imported graph without trouble.
 c_test_util.Add(feed, scalar, graph, s);
 ASSERT_EQ(TF_Code.TF_OK, s.Code);
 }

 /// <summary>
 /// Port from c_api_test.cc
 /// `TEST(CAPI, ImportGraphDef_WithReturnOutputs)`
 /// </summary>
 [TestMethod]
 public void ImportGraphDef_WithReturnOutputs()
 {
 var s = new Status();
 var graph = new Graph().as_default();

 // Create a graph with two nodes: x and 3
 c_test_util.Placeholder(graph, s);
 ASSERT_TRUE(graph.OperationByName("feed") != null);
 var oper = c_test_util.ScalarConst(3, graph, s);
 ASSERT_TRUE(graph.OperationByName("scalar") != null);
 c_test_util.Neg(oper, graph, s);
 ASSERT_TRUE(graph.OperationByName("neg") != null);

 // Export to a GraphDef.
 var graph_def = graph.ToGraphDef(s);
 ASSERT_EQ(TF_Code.TF_OK, s.Code);

 // Import it in a fresh graph with return outputs.
 graph.Dispose();
 graph = new Graph().as_default();
 var opts = new ImportGraphDefOptions();
 opts.AddReturnOutput("feed", 0);
 opts.AddReturnOutput("scalar", 0);
 EXPECT_EQ(2, opts.NumReturnOutputs);
 var return_outputs = graph.ImportGraphDefWithReturnOutputs(graph_def, opts, s);
 ASSERT_EQ(TF_Code.TF_OK, s.Code);

 var scalar = graph.OperationByName("scalar");
 var feed = graph.OperationByName("feed");
 var neg = graph.OperationByName("neg");
 ASSERT_TRUE(scalar != IntPtr.Zero);
 ASSERT_TRUE(feed != IntPtr.Zero);
 ASSERT_TRUE(neg != IntPtr.Zero);

 // Check return outputs
 EXPECT_EQ(feed, return_outputs[0].oper);
 EXPECT_EQ(0, return_outputs[0].index);
 EXPECT_EQ(scalar, return_outputs[1].oper);
 EXPECT_EQ(0, return_outputs[1].index);

 opts.Dispose();
 graph_def.Dispose();
 graph.Dispose();
 s.Dispose();
 }

 /// <summary>
 /// `TEST(CAPI, ImportGraphDef_MissingUnusedInputMappings)`
 /// </summary>
 [TestMethod]
 public void ImportGraphDef_MissingUnusedInputMappings()
 {

 }

 [Ignore]
 [TestMethod]
 public void ImportGraphMeta()
 {
 var dir = "my-save-dir/";
 using (var sess = tf.Session())
 {
 var new_saver = tf.train.import_meta_graph(dir + "my-model-10000.meta");
 new_saver.restore(sess, dir + "my-model-10000");
 var labels = tf.constant(0, dtype: tf.int32, shape: new int[] { 100 }, name: "labels");
 var batch_size = tf.size(labels);
 var logits = tf.get_collection<ITensorOrOperation>("logits")[0] as Tensor;
 var loss = tf.losses.sparse_softmax_cross_entropy(labels: labels,
 logits: logits);
 }
 }
 }
}