# Copyright 2022 by Michiel de Hoon.  All rights reserved.
#
# This file is part of the Biopython distribution and governed by your
# choice of the "Biopython License Agreement" or the "BSD 3-Clause License".
# Please see the LICENSE file that should have been included as part of this
# package.
"""Bio.Align support for hhr files generated by HHsearch or HHblits in HH-suite.

You are expected to use this module via the Bio.Align functions.
"""

from Bio.Align import Alignment
from Bio.Align import interfaces
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord


class AlignmentIterator(interfaces.AlignmentIterator):
    """Alignment iterator for hhr output files generated by HHsearch or HHblits.

    HHsearch and HHblits are part of the HH-suite of programs for Hidden Markov
    Models. An output files in the hhr format contains multiple pairwise
    alignments for a single query sequence.
    """

    fmt = "hhr"

    def _read_header(self, stream):
        metadata = {}
        for line in stream:
            line = line.strip()
            if line == "":
                break
            key, value = line.split(None, 1)
            if key == "Query":
                self.query_name = value
            elif key == "Match_columns":
                metadata[key] = int(value)
            elif key == "No_of_seqs":
                value1, value2 = value.split(" out of ")
                metadata[key] = (int(value1), int(value2))
            elif key in ("Neff", "Template_Neff"):
                metadata[key] = float(value)
            elif key == "Searched_HMMs":
                metadata[key] = int(value)
            elif key == "Date":
                metadata["Rundate"] = value
            elif key == "Command":
                metadata["Command line"] = value
            else:
                raise ValueError("Unknown key '%s'" % key)
        self.metadata = metadata
        line = stream.readline()
        if not line:
            raise ValueError("Truncated file.")
        assert line.split() == [
            "No",
            "Hit",
            "Prob",
            "E-value",
            "P-value",
            "Score",
            "SS",
            "Cols",
            "Query",
            "HMM",
            "Template",
            "HMM",
        ]
        counter = 0
        for line in stream:
            if line.strip() == "":
                break
            counter += 1
            word, _ = line.split(None, 1)
            assert int(word) == counter
        self._length = counter
        self._counter = 0

    def _read_next_alignment(self, stream):
        def create_alignment():
            n = len(target_sequence)
            assert len(query_sequence) == n
            if n == 0:
                return
            lines = [target_sequence.encode(), query_sequence.encode()]
            seq_data, coordinates = Alignment.parse_printed_alignment(lines)
            target_seq_data, query_seq_data = seq_data
            coordinates[0, :] += target_start
            coordinates[1, :] += query_start
            sequence = {query_start: query_seq_data}
            query_seq = Seq(sequence, length=query_length)
            query = SeqRecord(query_seq, id=self.query_name)
            sequence = {target_start: target_seq_data}
            target_seq = Seq(sequence, length=target_length)
            target_annotations = {
                "hmm_name": hmm_name,
                "hmm_description": hmm_description,
            }
            target = SeqRecord(
                target_seq, id=target_name, annotations=target_annotations
            )
            fmt = f"{' ' * target_start}%-{target_length - target_start}s"
            # fmt: off
            target.letter_annotations["Consensus"] = fmt % target_consensus.replace("-", "")
            target.letter_annotations["ss_pred"] = fmt % target_ss_pred.replace("-", "")
            target.letter_annotations["ss_dssp"] = fmt % target_ss_dssp.replace("-", "")
            alignment_confidence = fmt % "".join(
                c for t, c in zip(target_sequence, confidence) if t != "-"
            )
            fmt = f"{' ' * query_start}%-{query_length - query_start}s"
            if query_consensus:
                query.letter_annotations["Consensus"] = fmt % query_consensus.replace("-", "")
            if query_ss_pred:
                query.letter_annotations["ss_pred"] = fmt % query_ss_pred.replace("-", "")
            records = [target, query]
            # fmt: on
            alignment = Alignment(records, coordinates=coordinates)
            alignment.annotations = alignment_annotations
            alignment.column_annotations = {}
            alignment.column_annotations["column score"] = column_score
            alignment.column_annotations["Confidence"] = alignment_confidence
            return alignment

        query_start = None
        query_sequence = ""
        query_consensus = ""
        query_ss_pred = ""
        target_start = None
        target_sequence = ""
        target_consensus = ""
        target_ss_pred = ""
        target_ss_dssp = ""
        column_score = ""
        confidence = ""
        consensus = ""
        for line in stream:
            line = line.rstrip()
            if not line:
                pass
            elif line.startswith(">"):
                hmm_name, hmm_description = line[1:].split(None, 1)
                line = stream.readline()
                words = line.split()
                alignment_annotations = {}
                for word in words:
                    key, value = word.split("=")
                    if key == "Aligned_cols":
                        continue  # can be obtained from coordinates
                    if key == "Identities":
                        value = value.rstrip("%")
                    value = float(value)
                    alignment_annotations[key] = value
            elif line == "Done!":
                line = stream.readline()
                if line:
                    raise ValueError(
                        "Found additional data after 'Done!'; corrupt file?"
                    )
            elif line.startswith(" "):
                column_score += line.strip()
            elif line.startswith("No "):
                counter = self._counter
                self._counter += 1
                key, value = line.split()
                assert int(value) == self._counter
                if self._counter > self._length:
                    raise ValueError(
                        "Expected %d alignments, found %d"
                        % (self._length, self._counter)
                    )
                if counter > 0:
                    return create_alignment()
            elif line.startswith("Confidence"):
                value = line[-len(consensus) :]
                confidence += value
            elif line.startswith("Q ss_pred "):
                key, value = line.rsplit(None, 1)
                query_ss_pred += value
            elif line.startswith("Q Consensus "):
                key1, key2, start, consensus, end, total = line.split()
                start = int(start) - 1
                end = int(end)
                assert total.startswith("(")
                assert total.endswith(")")
                total = int(total[1:-1])
                query_consensus += consensus
            elif line.startswith("Q "):
                key1, key2, start, sequence, end, total = line.split()
                assert self.query_name.startswith(key2)
                start = int(start) - 1
                end = int(end)
                assert total.startswith("(")
                assert total.endswith(")")
                query_length = int(total[1:-1])
                assert query_length == self.metadata["Match_columns"]
                if query_start is None:
                    query_start = start
                query_sequence += sequence
            elif line.startswith("T ss_pred "):
                key, value = line.rsplit(None, 1)
                target_ss_pred += value
            elif line.startswith("T ss_dssp "):
                key, value = line.rsplit(None, 1)
                target_ss_dssp += value
            elif line.startswith("T Consensus "):
                key1, key2, start, consensus, end, total = line.split()
                start = int(start) - 1
                end = int(end)
                assert total.startswith("(")
                assert total.endswith(")")
                total = int(total[1:-1])
                target_consensus += consensus
            elif line.startswith("T "):
                key, name, start, sequence, end, total = line.split()
                assert key == "T"
                target_name = name
                start = int(start) - 1
                end = int(end)
                assert total.startswith("(")
                assert total.endswith(")")
                target_length = int(total[1:-1])
                if target_start is None:
                    target_start = start
                target_sequence += sequence
            else:
                raise ValueError("Failed to parse line '%s...'" % line[:30])
        alignment = create_alignment()
        length = self._length
        counter = self._counter
        if alignment is None and counter != length:
            raise ValueError("Expected %d alignments, found %d" % (length, counter))
        return alignment

    def __len__(self):
        return self._length
