Mercurial > repos > richard-burhans > segalign
diff diagonal_partition.py @ 9:08e987868f0f draft
planemo upload for repository https://github.com/richard-burhans/galaxytools/tree/main/tools/segalign commit 062a761a340e095ea7ef7ed7cd1d3d55b1fdc5c4
author | richard-burhans |
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date | Wed, 10 Jul 2024 17:06:45 +0000 |
parents | |
children | 25fa179d9d0a |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/diagonal_partition.py Wed Jul 10 17:06:45 2024 +0000 @@ -0,0 +1,236 @@ +#!/usr/bin/env python + +""" +Diagonal partitioning for segment files output by SegAlign. + +Usage: +diagonal_partition.py <max-segments> <lastz-command> + +set <max-segments> = 0 to skip partitioning, -1 to infer best parameter +""" + + +import os +import sys +import typing + + +def chunks(lst: tuple[str, ...], n: int) -> typing.Iterator[tuple[str, ...]]: + """Yield successive n-sized chunks from list.""" + for i in range(0, len(lst), n): + yield lst[i:i + n] + + +if __name__ == "__main__": + + DELETE_AFTER_CHUNKING = True + MIN_CHUNK_SIZE = 5000 # don't partition segment files with line count below this value + + # input_params = "10000 sad sadsa sad --segments=tmp21.block0.r0.minus.segments dsa sa --strand=plus --output=out.maf sadads 2> logging.err" + # sys.argv = [sys.argv[0]] + input_params.split(' ') + chunk_size = int(sys.argv[1]) # first parameter contains chunk size + params = sys.argv[2:] + + # don't do anything if 0 chunk size + if chunk_size == 0: + print(" ".join(params), flush=True) + exit(0) + + # Parsing command output from SegAlign + segment_key = "--segments=" + segment_index = None + input_file = None + + for index, value in enumerate(params): + if value[:len(segment_key)] == segment_key: + segment_index = index + input_file = value[len(segment_key):] + break + + if segment_index is None: + sys.exit(f"Error: could not get segment key {segment_key} from parameters {params}") + + if input_file is None: + sys.exit(f"Error: could not get segment file from parameters {params}") + + if not os.path.isfile(input_file): + sys.exit(f"Error: File {input_file} does not exist") + + line_size = None # each char in 1 byte + file_size = os.path.getsize(input_file) + with open(input_file, "r") as f: + line_size = len(f.readline()) # add 1 for newline + + estimated_lines = file_size // line_size + + # check if chunk size should be estimated + if chunk_size < 0: + # optimization, do not need to get each file size in this case + if estimated_lines < MIN_CHUNK_SIZE: + print(" ".join(params), flush=True) + exit(0) + + from collections import defaultdict + from statistics import quantiles + # get size of each segment assuming DELETE_AFTER_CHUNKING == True + # takes into account already split segments + files = [i for i in os.listdir(".") if i.endswith(".segments")] + # find . -maxdepth 1 -name "*.segments" -print0 | du -ba --files0-from=- + # if not enough segment files for estimation, continue + if len(files) <= 2: + print(" ".join(params), flush=True) + exit(0) + + fdict: typing.DefaultDict[str, int] = defaultdict(int) + for filename in files: + size = os.path.getsize(filename) + f_ = filename.split(".split", 1)[0] + fdict[f_] += size + chunk_size = int(quantiles(fdict.values())[-1] // line_size) + + if file_size // line_size <= chunk_size: # no need to sort if number of lines <= chunk_size + print(" ".join(params), flush=True) + exit(0) + + # Find rest of relevant parameters + output_key = "--output=" + output_index = None + output_alignment_file = None + output_alignment_file_base = None + output_format = None + + strand_key = "--strand=" + strand_index = None + for index, value in enumerate(params): + if value[:len(output_key)] == output_key: + output_index = index + output_alignment_file = value[len(output_key):] + output_alignment_file_base, output_format = output_alignment_file.rsplit(".", 1) + if value[:len(strand_key)] == strand_key: + strand_index = index + + if output_index is None: + sys.exit(f"Error: could not get output key {output_key} from parameters {params}") + + if output_alignment_file_base is None: + sys.exit(f"Error: could not get output alignment file base from parameters {params}") + + if output_format is None: + sys.exit(f"Error: could not get output format from parameters {params}") + + if strand_index is None: + sys.exit(f"Error: could not get strand key {strand_key} from parameters {params}") + + err_index = -1 # error file is at very end + err_name_base = params[-1].split(".err", 1)[0] + + data: dict[tuple[str, str], list[tuple[int, int, str]]] = {} # dict of list of tuple (x, y, str) + + direction = None + if "plus" in params[strand_index]: + direction = "f" + elif "minus" in params[strand_index]: + direction = "r" + else: + sys.exit(f"Error: could not figure out direction from strand value {params[strand_index]}") + + for line in open(input_file, "r"): + if line == "": + continue + seq1_name, seq1_start, seq1_end, seq2_name, seq2_start, seq2_end, _dir, score = line.split() + # data.append((int(seq1_start), int(seq2_start), line)) + half_dist = int((int(seq1_end) - int(seq1_start)) // 2) + assert int(seq1_end) > int(seq1_start) + assert int(seq2_end) > int(seq2_start) + seq1_mid = int(seq1_start) + half_dist + seq2_mid = int(seq2_start) + half_dist + data.setdefault((seq1_name, seq2_name), []).append((seq1_mid, seq2_mid, line)) + + # If there are chromosome pairs with segment count <= chunk_size + # then no need to sort and split these pairs into separate files. + # It is better to keep these pairs in a single segment file. + skip_pairs = [] # pairs that have count <= chunk_size. these will not be sorted + + # save query key order + # for lastz segment files: 'Query sequence names must appear in the same + # order as they do in the query file' + query_key_order = list(dict.fromkeys([i[1] for i in data.keys()])) + + # NOTE: assuming data.keys() preserves order of keys. Requires Python 3.7+ + + if len(data.keys()) > 1: + for pair in data.keys(): + if len(data[pair]) <= chunk_size: + skip_pairs.append(pair) + + # sorting for forward segments + if direction == "r": + for pair in data.keys(): + if pair not in skip_pairs: + data[pair] = sorted(data[pair], key=lambda coord: (coord[1] - coord[0], coord[0])) + # sorting for reverse segments + elif direction == "f": + for pair in data.keys(): + if pair not in skip_pairs: + data[pair] = sorted(data[pair], key=lambda coord: (coord[1] + coord[0], coord[0])) + else: + sys.exit(f"INVALID DIRECTION VALUE: {direction}") + + # Writing file in chunks + ctr = 0 + for pair in data.keys() - skip_pairs: # [i for i in data_keys if i not in set(skip_pairs)]: + for chunk in chunks(list(zip(*data[pair]))[2], chunk_size): + ctr += 1 + name_addition = f".split{ctr}" + fname = input_file.split(".segments", 1)[0] + name_addition + ".segments" + + assert len(chunk) != 0 + with open(fname, "w") as f: + f.writelines(chunk) + # update segment file in command + params[segment_index] = segment_key + fname + # update output file in command + params[output_index] = output_key + output_alignment_file_base + name_addition + "." + output_format + # update error file in command + params[-1] = err_name_base + name_addition + ".err" + print(" ".join(params), flush=True) + + # writing unsorted skipped pairs + if len(skip_pairs) > 0: + skip_pairs_with_len = sorted([(len(data[p]), p) for p in skip_pairs]) # list of tuples of (pair length, pair) + # NOTE: This can violate lastz query key order requirement + + query_key_order_table = {item: idx for idx, item in enumerate(query_key_order)} # used for sorting + + aggregated_skip_pairs: list[list[tuple[str, str]]] = [] # list of list of pair names + current_count = 0 + aggregated_skip_pairs.append([]) + for count, pair in skip_pairs_with_len: + if current_count + count <= chunk_size: + current_count += count + aggregated_skip_pairs[-1].append(pair) + else: + aggregated_skip_pairs.append([]) + current_count = count + aggregated_skip_pairs[-1].append(pair) + + for aggregate in aggregated_skip_pairs: + ctr += 1 + name_addition = f".split{ctr}" + fname = input_file.split(".segments", 1)[0] + name_addition + ".segments" + + with open(fname, "w") as f: + # fix possible lastz query key order violations + for pair in sorted(aggregate, key=lambda p: query_key_order_table[p[1]]): # p[1] is query key + chunk = list(zip(*data[pair]))[2] + f.writelines(chunk) + # update segment file in command + params[segment_index] = segment_key + fname + # update output file in command + params[output_index] = output_key + output_alignment_file_base + name_addition + "." + output_format + # update error file in command + params[-1] = err_name_base + name_addition + ".err" + print(" ".join(params), flush=True) + + if DELETE_AFTER_CHUNKING: + os.remove(input_file)