package com.fasterxml.jackson.dataformat.avro.deser;

import java.util.*;

import org.apache.avro.Schema;

import com.fasterxml.jackson.dataformat.avro.deser.ScalarDecoder.*;
import com.fasterxml.jackson.dataformat.avro.schema.AvroSchemaHelper;

Helper class used for constructing a hierarchic reader for given
(reader-) schema.
/**
 * Helper class used for constructing a hierarchic reader for given
 * (reader-) schema.
 */
public abstract class AvroReaderFactory
{
    protected final static ScalarDecoder READER_BOOLEAN = new BooleanDecoder();
    protected final static ScalarDecoder READER_BYTES = new BytesDecoder();
    protected final static ScalarDecoder READER_DOUBLE = new DoubleReader();
    protected final static ScalarDecoder READER_FLOAT = new FloatReader();
    protected final static ScalarDecoder READER_INT = new IntReader();
    protected final static ScalarDecoder READER_LONG = new LongReader();
    protected final static ScalarDecoder READER_NULL = new NullReader();
    protected final static ScalarDecoder READER_STRING = new StringReader();

    
To resolve cyclic types, need to keep track of resolved named
types.
/**
     * To resolve cyclic types, need to keep track of resolved named
     * types.
     */
    protected final TreeMap<String, AvroStructureReader> _knownReaders
        = new TreeMap<String, AvroStructureReader>();

    /*
    /**********************************************************************
    /* Public API: root methods to create reader
    /**********************************************************************
     */

    public static AvroStructureReader createFor(Schema schema) {
        return new NonResolving().createReader(schema);
    }

    public static AvroStructureReader createFor(Schema writerSchema,
            Schema readerSchema) {
        return new Resolving().createReader(writerSchema, readerSchema);
    }

    /*
    /**********************************************************************
    /* Public API: factory methods
    /**********************************************************************
     */

    public ScalarDecoder createScalarValueDecoder(Schema type)
    {
        switch (type.getType()) {
        case BOOLEAN:
            return READER_BOOLEAN;
        case BYTES:
            return READER_BYTES;
        case DOUBLE:
            return READER_DOUBLE;
        case ENUM:
            return new EnumDecoder(AvroSchemaHelper.getFullName(type), type.getEnumSymbols());
        case FIXED:
            return new FixedDecoder(type.getFixedSize(), AvroSchemaHelper.getFullName(type));
        case FLOAT:
            return READER_FLOAT;
        case INT:
            {
                final String typeId = AvroSchemaHelper.getTypeId(type);
                return (typeId != null) ? new IntReader(typeId) : READER_INT;
            }
        case LONG:
            return READER_LONG;
        case NULL:
            return READER_NULL;
        case STRING:
            {
                final String typeId = AvroSchemaHelper.getTypeId(type);
                return (typeId != null) ? new StringReader(typeId) : READER_STRING;
            }
        case UNION:
            // Union is a "scalar union" if all the alternative types
            // are scalar. One common type is that of "nullable" one,
            // but general handling should work just fine.
            List<Schema> types = type.getTypes();
            {
                ScalarDecoder[] readers = new ScalarDecoder[types.size()];
                int i = 0;
                for (Schema schema : types) {
                    ScalarDecoder reader = createScalarValueDecoder(schema);
                    if (reader == null) { // non-scalar; no go
                        return null;
                    }
                    readers[i++] = reader;
                }
                return new ScalarUnionDecoder(readers);
            }
        case ARRAY: // ok to call just can't handle
        case MAP:
        case RECORD:
            return null;
        }
        // but others are not recognized
        throw new IllegalStateException("Unrecognized Avro Schema type: "+type.getType());
    }

    /*
    /**********************************************************************
    /* Factory methods for non-resolving cases, shared by sub-classes
    /**********************************************************************
     */

    
Method for creating a reader instance for specified type,
only using specific schema that was used to encoded data
("writer schema").
/**
     * Method for creating a reader instance for specified type,
     * only using specific schema that was used to encoded data
     * ("writer schema").
     */
    public AvroStructureReader createReader(Schema schema)
    {
        AvroStructureReader reader = _knownReaders.get(AvroSchemaHelper.getFullName(schema));
        if (reader != null) {
            return reader;
        }
        switch (schema.getType()) {
        case ARRAY:
            return createArrayReader(schema);
        case MAP:
            return createMapReader(schema);
        case RECORD:
            return createRecordReader(schema);
        case UNION:
            return createUnionReader(schema);
        default:
            // for other types, we need wrappers
            return new ScalarDecoderWrapper(createScalarValueDecoder(schema));
        }
    }

    protected AvroStructureReader createArrayReader(Schema schema)
    {
        Schema elementType = schema.getElementType();
        ScalarDecoder scalar = createScalarValueDecoder(elementType);
        String typeId = AvroSchemaHelper.getTypeId(schema);
        String elementTypeId = schema.getProp(AvroSchemaHelper.AVRO_SCHEMA_PROP_ELEMENT_CLASS);
        if (elementTypeId == null) {
            elementTypeId = AvroSchemaHelper.getTypeId(elementType);
        }

        if (scalar != null) {
            // EnumSet has to know element type information up front; take advantage of the fact that the id resolver handles canonical IDs
            if (EnumSet.class.getName().equals(typeId)) {
                typeId += "<" + elementTypeId + ">";
            }
            return ArrayReader.construct(scalar, typeId, elementTypeId);
        }
        return ArrayReader.construct(createReader(elementType), typeId, elementTypeId);
    }

    protected AvroStructureReader createMapReader(Schema schema)
    {
        Schema elementType = schema.getValueType();
        ScalarDecoder dec = createScalarValueDecoder(elementType);
        String typeId = AvroSchemaHelper.getTypeId(schema);
        String keyTypeId = schema.getProp(AvroSchemaHelper.AVRO_SCHEMA_PROP_KEY_CLASS);
        // EnumMap requires value type information up front; take advantage of the fact that the id resolver handles canonical IDs
        if (EnumMap.class.getName().equals(typeId)) {
            typeId += "<" + keyTypeId + "," + Object.class.getName() + ">";
        }
        if (dec != null) {
            String valueTypeId = AvroSchemaHelper.getTypeId(elementType);
            return MapReader.construct(dec, typeId, keyTypeId, valueTypeId);
        }
        return MapReader.construct(createReader(elementType), typeId, keyTypeId);
    }

    protected AvroStructureReader createRecordReader(Schema schema)
    {
        final List<Schema.Field> fields = schema.getFields();
        AvroFieldReader[] fieldReaders = new AvroFieldReader[fields.size()];
        RecordReader reader = new RecordReader.Std(fieldReaders, AvroSchemaHelper.getTypeId(schema));
        _knownReaders.put(AvroSchemaHelper.getFullName(schema), reader);
        int i = 0;
        for (Schema.Field field : fields) {
            fieldReaders[i++] = createFieldReader(field);
        }
        return reader;
    }

    protected AvroStructureReader createUnionReader(Schema schema)
    {
        final List<Schema> types = schema.getTypes();
        AvroStructureReader[] typeReaders = new AvroStructureReader[types.size()];
        int i = 0;
        for (Schema type : types) {
            typeReaders[i++] = createReader(type);
        }
        return new UnionReader(typeReaders);
    }

    protected AvroFieldReader createFieldReader(Schema.Field field) {
        final String name = field.name();
        final Schema type = field.schema();

        ScalarDecoder scalar = createScalarValueDecoder(type);
        if (scalar != null) {
            return scalar.asFieldReader(name, false);
        }
        return AvroFieldReader.construct(name, createReader(type));
    }

    /*
    /**********************************************************************
    /* Implementations
    /**********************************************************************
     */

    
Implementation used when no schema-resolution is needed, when we are using
same schema for reading as was used for writing.
/**
     * Implementation used when no schema-resolution is needed, when we are using
     * same schema for reading as was used for writing.
     *
     */
    private static class NonResolving extends AvroReaderFactory
    {
        protected NonResolving() { }
    }

    
Implementation used when schema-resolution is needed, when we are using
different schema for reading ("reader schema") than was used for
writing encoded data ("writer schema")
/**
     * Implementation used when schema-resolution is needed, when we are using
     * different schema for reading ("reader schema") than was used for
     * writing encoded data ("writer schema")
     */
    private static class Resolving extends AvroReaderFactory
    {
        protected Resolving() { }

        
Method for creating a reader instance for specified type.
/**
         * Method for creating a reader instance for specified type.
         */
        public AvroStructureReader createReader(Schema writerSchema, Schema readerSchema)
        {
            // NOTE: it is assumed writer-schema has been modified with aliases so
            //   that the names are same, so we could use either name:
            AvroStructureReader reader = _knownReaders.get(AvroSchemaHelper.getFullName(readerSchema));
            if (reader != null) {
                return reader;
            }
            // but the type to decode must be writer-schema indicated one (but
            // also same as or promotable to reader-schema one)
            switch (writerSchema.getType()) {
            case ARRAY:
                return createArrayReader(writerSchema, readerSchema);
            case MAP:
                return createMapReader(writerSchema, readerSchema);
            case RECORD:
                return createRecordReader(writerSchema, readerSchema);
            case UNION:
                return createUnionReader(writerSchema, readerSchema);
            default:
                // for other types, we need wrappers
                return new ScalarDecoderWrapper(createScalarValueDecoder(writerSchema));
            }
        }

        protected AvroStructureReader createArrayReader(Schema writerSchema, Schema readerSchema)
        {
            readerSchema = _verifyMatchingStructure(readerSchema, writerSchema);
            Schema writerElementType = writerSchema.getElementType();
            ScalarDecoder scalar = createScalarValueDecoder(writerElementType);
            String typeId = AvroSchemaHelper.getTypeId(readerSchema);
            String elementTypeId = readerSchema.getProp(AvroSchemaHelper.AVRO_SCHEMA_PROP_ELEMENT_CLASS);

            if (scalar != null) {
                return ArrayReader.construct(scalar, typeId, elementTypeId);
            }
            return ArrayReader.construct(createReader(writerElementType, readerSchema.getElementType()), typeId, elementTypeId);
        }

        protected AvroStructureReader createMapReader(Schema writerSchema, Schema readerSchema)
        {
            readerSchema = _verifyMatchingStructure(readerSchema, writerSchema);
            Schema writerElementType = writerSchema.getValueType();
            ScalarDecoder dec = createScalarValueDecoder(writerElementType);
            String typeId = AvroSchemaHelper.getTypeId(readerSchema);
            String keyTypeId = readerSchema.getProp(AvroSchemaHelper.AVRO_SCHEMA_PROP_KEY_CLASS);
            if (dec != null) {
                String valueTypeId = readerSchema.getValueType().getProp(AvroSchemaHelper.AVRO_SCHEMA_PROP_CLASS);
                return MapReader.construct(dec, typeId, keyTypeId, valueTypeId);
            }
            return MapReader.construct(createReader(writerElementType, readerSchema.getValueType()), typeId, keyTypeId);
        }

        protected AvroStructureReader createRecordReader(Schema writerSchema, Schema readerSchema)
        {
            readerSchema = _verifyMatchingStructure(readerSchema, writerSchema);

            // Ok, this gets bit more complicated: need to iterate over writer schema
            // (since that will be the order fields are decoded in!), but also
            // keep track of which reader fields are being produced.

            final List<Schema.Field> writerFields = writerSchema.getFields();

            // but first: find fields that only exist in reader-side and need defaults,
            // and remove those from
            Map<String,Schema.Field> readerFields = new HashMap<String,Schema.Field>();
            List<Schema.Field> defaultFields = new ArrayList<Schema.Field>();
            {
                Set<String> writerNames = new HashSet<String>();
                for (Schema.Field f : writerFields) {
                    writerNames.add(f.name());
                }
                for (Schema.Field f : readerSchema.getFields()) {
                    String name = f.name();
                    if (writerNames.contains(name)) {
                        readerFields.put(name, f);
                    } else {
                        defaultFields.add(f);
                    }
                }
            }

            // note: despite changes, we will always have known number of field entities,
            // ones from writer schema -- some may skip, but there's entry there
            AvroFieldReader[] fieldReaders = new AvroFieldReader[writerFields.size()
                                                                   + defaultFields.size()];
            RecordReader reader = new RecordReader.Resolving(fieldReaders, AvroSchemaHelper.getTypeId(readerSchema));

            // as per earlier, names should be the same
            _knownReaders.put(AvroSchemaHelper.getFullName(readerSchema), reader);
            int i = 0;
            for (Schema.Field writerField : writerFields) {
                Schema.Field readerField = readerFields.get(writerField.name());
                // need a skipper:
                fieldReaders[i++] = (readerField == null)
                        ? createFieldSkipper(writerField.name(),
                                writerField.schema())
                        : createFieldReader(readerField.name(),
                                writerField.schema(), readerField.schema());
            }

            // Any defaults to consider?
            if (!defaultFields.isEmpty()) {
                for (Schema.Field defaultField : defaultFields) {
                    AvroFieldReader fr = AvroFieldDefaulters.createDefaulter(defaultField.name(),
                            AvroSchemaHelper.objectToJsonNode(defaultField.defaultVal())
                    );
                    if (fr == null) {
                        throw new IllegalArgumentException("Unsupported default type: "+defaultField.schema().getType());
                    }
                    fieldReaders[i++] = fr;
                }
            }
            return reader;
        }

        protected AvroStructureReader createUnionReader(Schema writerSchema, Schema readerSchema)
        {
            final List<Schema> types = writerSchema.getTypes();
            AvroStructureReader[] typeReaders = new AvroStructureReader[types.size()];
            int i = 0;

            // !!! TODO: actual resolution !!!

            for (Schema type : types) {
                typeReaders[i++] = createReader(type);
            }
            return new UnionReader(typeReaders);
        }

        protected AvroFieldReader createFieldReader(String name,
                Schema writerSchema, Schema readerSchema)
        {
            ScalarDecoder scalar = createScalarValueDecoder(writerSchema);
            if (scalar != null) {
                return scalar.asFieldReader(name, false);
            }
            return AvroFieldReader.construct(name,
                    createReader(writerSchema, readerSchema));
        }

        protected AvroFieldReader createFieldSkipper(String name,
                Schema writerSchema)
        {
            ScalarDecoder scalar = createScalarValueDecoder(writerSchema);
            if (scalar != null) {
                return scalar.asFieldReader(name, true);
            }
            return AvroFieldReader.constructSkipper(name,
                    createReader(writerSchema));
        }

        
Helper method that verifies that the given reader schema is compatible
with specified writer schema type: either directly (same type), or
via latter being a union with compatible type. In latter case, type
(schema) within union that matches writer schema is returned instead
of containing union
Returns:
Reader schema that matches expected writer schema/**
         * Helper method that verifies that the given reader schema is compatible
         * with specified writer schema type: either directly (same type), or
         * via latter being a union with compatible type. In latter case, type
         * (schema) within union that matches writer schema is returned instead
         * of containing union
         *
         * @return Reader schema that matches expected writer schema
         */
        private Schema _verifyMatchingStructure(Schema readerSchema, Schema writerSchema)
        {
            final Schema.Type expectedType = writerSchema.getType();
            Schema.Type actualType = readerSchema.getType();
            // Simple rules: if structures are the same (both arrays, both maps, both records),
            // fine, without yet verifying element types
            if (actualType == expectedType) {
                return readerSchema;
            }
            // Or, similarly, find the first structure of same type within union.

            // !!! 07-Feb-2017, tatu: Quite possibly we should do recursive match check here,
            //    in case there are multiple alternatives of same structured type.
            //    But since that is quite non-trivial let's wait for a good example of actual
            //    usage before tackling that.

            if (actualType == Schema.Type.UNION) {
                for (Schema sch : readerSchema.getTypes()) {
                    if (sch.getType() == expectedType) {
                        return sch;
                    }
                }
                throw new IllegalStateException(String.format(
                        "Mismatch between types: expected %s (name '%s'), encountered %s of %d types without match",
                        expectedType, writerSchema.getName(), actualType, readerSchema.getTypes().size()));
            }
            throw new IllegalStateException(String.format(
                    "Mismatch between types: expected %s (name '%s'), encountered %s",
                    expectedType, writerSchema.getName(), actualType));
        }
    }
}