From 909e47170d17cf33e767ebb2b574e26df01567f6 Mon Sep 17 00:00:00 2001 From: George Pimm Date: Tue, 3 May 2022 11:43:59 +0100 Subject: [PATCH 01/28] add testing for python code --- .gitlab-ci.yml | 12 + c++/mkr_format/c_api.cpp | 49 +++- c++/mkr_format/c_api.h | 28 ++ c++/mkr_format/file_reader.cpp | 42 ++- c++/mkr_format/file_reader.h | 13 + c++/mkr_format/read_table_schema.cpp | 4 +- python/mkr_format/__init__.py | 1 + python/mkr_format/c_api.py | 52 +++- python/mkr_format/reader.py | 223 +++++++++++---- python/mkr_format/tools/mkr_convert_fast5.py | 16 +- python/mkr_format/writer.py | 92 ++++--- python/pyproject.toml | 7 + python/tests/test_api.py | 273 +++++++++++++++++++ 13 files changed, 697 insertions(+), 115 deletions(-) create mode 100644 python/tests/test_api.py diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index f4f78fa..c093a36 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -107,6 +107,18 @@ wheel-build: paths: - wheels/*.whl +pytest: + stage: test-python + image: git.oxfordnanolabs.local:4567/traque/ont-docker-base/ont-base-python:3.9 + tags: + - linux + needs: + - wheel-build + script: + - pip install ./wheels/* + - cd python + - pytest + wheel-test: stage: test-python image: git.oxfordnanolabs.local:4567/traque/ont-docker-base/ont-base-python:3.9 diff --git a/c++/mkr_format/c_api.cpp b/c++/mkr_format/c_api.cpp index 9468d50..2af9882 100644 --- a/c++/mkr_format/c_api.cpp +++ b/c++/mkr_format/c_api.cpp @@ -224,6 +224,35 @@ mkr_error_t mkr_close_and_free_reader(MkrFileReader* file) { return MKR_OK; } +mkr_error_t mkr_get_combined_file_read_table_location(MkrFileReader_t* reader, + EmbeddedFileData_t* file_data) { + mkr_reset_error(); + + if (!check_file_not_null(reader) || !check_output_pointer_not_null(file_data)) { + return g_mkr_error_no; + } + MKR_C_ASSIGN_OR_RAISE(auto const read_table_location, reader->reader->read_table_location()); + + file_data->offset = read_table_location.offset; + file_data->length = read_table_location.size; + return MKR_OK; +} + +mkr_error_t mkr_get_combined_file_signal_table_location(MkrFileReader_t* reader, + EmbeddedFileData_t* file_data) { + mkr_reset_error(); + + if (!check_file_not_null(reader) || !check_output_pointer_not_null(file_data)) { + return g_mkr_error_no; + } + MKR_C_ASSIGN_OR_RAISE(auto const signal_table_location, + reader->reader->signal_table_location()); + + file_data->offset = signal_table_location.offset; + file_data->length = signal_table_location.size; + return MKR_OK; +} + mkr_error_t mkr_get_read_batch_count(size_t* count, MkrFileReader* reader) { mkr_reset_error(); @@ -434,7 +463,7 @@ struct RunInfoDataCHelper : public RunInfoDictData { flow_cell_id = internal_data.flow_cell_id.c_str(); flow_cell_product_code = internal_data.flow_cell_product_code.c_str(); protocol_name = internal_data.protocol_name.c_str(); - protocol_run_id = internal_data.protocol_name.c_str(); + protocol_run_id = internal_data.protocol_run_id.c_str(); protocol_start_time_ms = internal_data.protocol_start_time; sample_id = internal_data.sample_id.c_str(); sample_rate = internal_data.sample_rate; @@ -874,6 +903,24 @@ mkr_error_t mkr_vbz_compress_signal(int16_t const* signal, return MKR_OK; } + +mkr_error_t mkr_vbz_decompress_signal(char const* compressed_signal, + size_t compressed_signal_size, + size_t sample_count, + short* signal_out) { + mkr_reset_error(); + + if (!check_not_null(compressed_signal) || !check_output_pointer_not_null(signal_out)) { + return g_mkr_error_no; + } + + auto const in_span = + gsl::make_span(compressed_signal, compressed_signal_size).as_span(); + auto out_span = gsl::make_span(signal_out, sample_count); + MKR_C_RETURN_NOT_OK(mkr::decompress_signal(in_span, arrow::system_memory_pool(), out_span)); + + return MKR_OK; +} } //--------------------------------------------------------------------------------------------------------------------- diff --git a/c++/mkr_format/c_api.h b/c++/mkr_format/c_api.h index 421143c..0a2047c 100644 --- a/c++/mkr_format/c_api.h +++ b/c++/mkr_format/c_api.h @@ -69,6 +69,24 @@ MKR_FORMAT_EXPORT MkrFileReader_t* mkr_open_combined_file(char const* filename); /// \brief Close a file reader, releasing all memory held by the reader. MKR_FORMAT_EXPORT mkr_error_t mkr_close_and_free_reader(MkrFileReader_t* file); +struct EmbeddedFileData { + size_t offset; + size_t length; +}; +typedef struct EmbeddedFileData EmbeddedFileData_t; + +/// \brief Find the number of read batches in the file. +/// \param[out] file The combined file to be queried. +/// \param file_data The output read table file data. +MKR_FORMAT_EXPORT mkr_error_t +mkr_get_combined_file_read_table_location(MkrFileReader_t* reader, EmbeddedFileData_t* file_data); + +/// \brief Find the number of read batches in the file. +/// \param[out] file The combined file to be queried. +/// \param file_data The output signal table file data. +MKR_FORMAT_EXPORT mkr_error_t +mkr_get_combined_file_signal_table_location(MkrFileReader_t* reader, EmbeddedFileData_t* file_data); + /// \brief Find the number of read batches in the file. /// \param[out] count The number of read batches in the file /// \param reader The file reader to read from @@ -477,6 +495,16 @@ MKR_FORMAT_EXPORT mkr_error_t mkr_vbz_compress_signal(int16_t const* signal, char* compressed_signal_out, size_t* compressed_signal_size); +/// \brief VBZ decompress an array of samples. +/// \param compressed_signal The signal to compress. +/// \param compressed_signal_size The number of compressed bytes, should be set to the size of compressed_signal_out on call. +/// \param sample_count The number of samples to decompress. +/// \param[out] signal_out The compressed signal. +MKR_FORMAT_EXPORT mkr_error_t mkr_vbz_decompress_signal(char const* compressed_signal, + size_t compressed_signal_size, + size_t sample_count, + short* signal_out); + #ifdef __cplusplus } #endif diff --git a/c++/mkr_format/file_reader.cpp b/c++/mkr_format/file_reader.cpp index da281e8..b8bdf69 100644 --- a/c++/mkr_format/file_reader.cpp +++ b/c++/mkr_format/file_reader.cpp @@ -12,10 +12,15 @@ namespace mkr { FileReaderOptions::FileReaderOptions() : m_memory_pool(arrow::system_memory_pool()) {} -class FileReaderBaseImpl : public FileReader { +class FileReaderImpl : public FileReader { public: - FileReaderBaseImpl(ReadTableReader&& read_table_reader, SignalTableReader&& signal_table_reader) - : m_read_table_reader(std::move(read_table_reader)), + FileReaderImpl(FileLocation&& read_table_location, + ReadTableReader&& read_table_reader, + FileLocation&& signal_table_location, + SignalTableReader&& signal_table_reader) + : m_read_table_location(std::move(read_table_location)), + m_signal_table_location(std::move(signal_table_location)), + m_read_table_reader(std::move(read_table_reader)), m_signal_table_reader(std::move(signal_table_reader)) {} Result read_read_record_batch(std::size_t i) const override { @@ -39,17 +44,17 @@ class FileReaderBaseImpl : public FileReader { return m_signal_table_reader.signal_batch_for_row_id(row, batch_start_row); } + Result read_table_location() const { return m_read_table_location; } + + Result signal_table_location() const { return m_signal_table_location; } + private: + FileLocation m_read_table_location; + FileLocation m_signal_table_location; ReadTableReader m_read_table_reader; SignalTableReader m_signal_table_reader; }; -class SplitFileReader : public FileReaderBaseImpl { -public: - SplitFileReader(ReadTableReader&& read_table_reader, SignalTableReader&& signal_table_reader) - : FileReaderBaseImpl(std::move(read_table_reader), std::move(signal_table_reader)) {} -}; - mkr::Result> open_split_file_reader( boost::filesystem::path const& signal_path, boost::filesystem::path const& reads_path, @@ -76,8 +81,11 @@ mkr::Result> open_split_file_reader( ", reads identifier: ", reads_metadata.file_identifier); } - return std::make_unique(std::move(read_table_reader), - std::move(signal_table_reader)); + ARROW_ASSIGN_OR_RAISE(auto const reads_table_size, read_table_file->GetSize()); + ARROW_ASSIGN_OR_RAISE(auto const signal_table_size, signal_table_file->GetSize()); + return std::make_unique( + FileLocation(reads_path, 0, reads_table_size), std::move(read_table_reader), + FileLocation(signal_path, 0, signal_table_size), std::move(signal_table_reader)); } class SubFile : public arrow::io::RandomAccessFile { @@ -159,8 +167,16 @@ mkr::Result> open_combined_file_reader( ", reads identifier: ", reads_metadata.file_identifier); } - return std::make_unique(std::move(read_table_reader), - std::move(signal_table_reader)); + auto reads_table_location = + FileLocation(path, parsed_footer_metadata.reads_table.file_start_offset, + parsed_footer_metadata.reads_table.file_length); + auto signal_table_location = + FileLocation(path, parsed_footer_metadata.signal_table.file_start_offset, + parsed_footer_metadata.signal_table.file_length); + + return std::make_unique( + std::move(reads_table_location), std::move(read_table_reader), + std::move(signal_table_location), std::move(signal_table_reader)); } } // namespace mkr diff --git a/c++/mkr_format/file_reader.h b/c++/mkr_format/file_reader.h index bd7574c..5e247ec 100644 --- a/c++/mkr_format/file_reader.h +++ b/c++/mkr_format/file_reader.h @@ -27,6 +27,16 @@ class MKR_FORMAT_EXPORT FileReaderOptions { arrow::MemoryPool* m_memory_pool; }; +class MKR_FORMAT_EXPORT FileLocation { +public: + FileLocation(boost::filesystem::path const& file_path_, std::size_t offset_, std::size_t size_) + : file_path(file_path_), offset(offset_), size(size_) {} + + boost::filesystem::path file_path; + std::size_t offset; + std::size_t size; +}; + class ReadTableRecordBatch; class SignalTableRecordBatch; @@ -41,6 +51,9 @@ class MKR_FORMAT_EXPORT FileReader { virtual std::size_t num_signal_record_batches() const = 0; virtual Result signal_batch_for_row_id(std::size_t row, std::size_t* batch_start_row) const = 0; + + virtual Result read_table_location() const = 0; + virtual Result signal_table_location() const = 0; }; MKR_FORMAT_EXPORT mkr::Result> open_split_file_reader( diff --git a/c++/mkr_format/read_table_schema.cpp b/c++/mkr_format/read_table_schema.cpp index 44e0400..ed5fcca 100644 --- a/c++/mkr_format/read_table_schema.cpp +++ b/c++/mkr_format/read_table_schema.cpp @@ -32,7 +32,7 @@ std::shared_ptr make_end_reason_struct_type() { std::shared_ptr make_run_info_struct_type() { return std::static_pointer_cast(arrow::struct_({ arrow::field("acquisition_id", arrow::utf8()), - arrow::field("acquisition_start_time", arrow::timestamp(arrow::TimeUnit::MILLI)), + arrow::field("acquisition_start_time", arrow::timestamp(arrow::TimeUnit::MILLI, "UTC")), arrow::field("adc_max", arrow::int16()), arrow::field("adc_min", arrow::int16()), arrow::field("context_tags", arrow::map(arrow::utf8(), arrow::utf8())), @@ -41,7 +41,7 @@ std::shared_ptr make_run_info_struct_type() { arrow::field("flow_cell_product_code", arrow::utf8()), arrow::field("protocol_name", arrow::utf8()), arrow::field("protocol_run_id", arrow::utf8()), - arrow::field("protocol_start_time", arrow::timestamp(arrow::TimeUnit::MILLI)), + arrow::field("protocol_start_time", arrow::timestamp(arrow::TimeUnit::MILLI, "UTC")), arrow::field("sample_id", arrow::utf8()), arrow::field("sample_rate", arrow::uint16()), arrow::field("sequencing_kit", arrow::utf8()), diff --git a/python/mkr_format/__init__.py b/python/mkr_format/__init__.py index 48b1773..633bfee 100644 --- a/python/mkr_format/__init__.py +++ b/python/mkr_format/__init__.py @@ -6,4 +6,5 @@ from ._version import __version__ from .reader import * +from .reader_utils import * from .writer import * diff --git a/python/mkr_format/c_api.py b/python/mkr_format/c_api.py index 8923e50..4b145f5 100644 --- a/python/mkr_format/c_api.py +++ b/python/mkr_format/c_api.py @@ -112,6 +112,13 @@ class RunInfoDictData(ctypes.Structure): ] +class EmbeddedFileData(ctypes.Structure): + _fields_ = [ + ("offset", ctypes.c_size_t), + ("length", ctypes.c_size_t), + ] + + # ---------------------------------------------------------------------------------------------------------------------- # Init the MKR library mkr_format.mkr_init() @@ -167,6 +174,31 @@ def __del__(self): ] mkr_open_combined_file.restype = FILE_READER_PTR +mkr_open_split_file = mkr_format.mkr_open_split_file +mkr_open_split_file.argtypes = [ + ctypes.c_char_p, # signal_filename + ctypes.c_char_p, # reads_filename +] +mkr_open_split_file.restype = FILE_READER_PTR + +mkr_get_combined_file_read_table_location = ( + mkr_format.mkr_get_combined_file_read_table_location +) +mkr_get_combined_file_read_table_location.restype = ERROR_TYPE +mkr_get_combined_file_read_table_location.argtypes = [ + FILE_READER_PTR, + ctypes.POINTER(EmbeddedFileData), +] + +mkr_get_combined_file_signal_table_location = ( + mkr_format.mkr_get_combined_file_signal_table_location +) +mkr_get_combined_file_signal_table_location.restype = ERROR_TYPE +mkr_get_combined_file_signal_table_location.argtypes = [ + FILE_READER_PTR, + ctypes.POINTER(EmbeddedFileData), +] + # ---------------------------------------------------------------------------------------------------------------------- mkr_add_pore = mkr_format.mkr_add_pore @@ -243,7 +275,7 @@ def __del__(self): ctypes.POINTER(ctypes.c_short), ctypes.POINTER(ctypes.c_short), ctypes.POINTER(ctypes.POINTER(ctypes.c_short)), - ctypes.POINTER(ctypes.c_size_t), + ctypes.POINTER(ctypes.c_uint), ] mkr_add_reads_pre_compressed = mkr_format.mkr_add_reads_pre_compressed @@ -278,6 +310,15 @@ def __del__(self): ctypes.POINTER(ctypes.c_size_t), ] +mkr_vbz_decompress_signal = mkr_format.mkr_vbz_decompress_signal +mkr_vbz_decompress_signal.restype = ERROR_TYPE +mkr_vbz_decompress_signal.argtypes = [ + ctypes.c_char_p, + ctypes.c_size_t, + ctypes.c_size_t, + ctypes.POINTER(ctypes.c_short), +] + # ---------------------------------------------------------------------------------------------------------------------- mkr_get_read_batch_count = mkr_format.mkr_get_read_batch_count mkr_get_read_batch_count.restype = ERROR_TYPE @@ -340,6 +381,15 @@ def __del__(self): ctypes.POINTER(ctypes.POINTER(SignalRowInfo)), ] +mkr_get_signal = mkr_format.mkr_get_signal +mkr_get_signal.restype = ERROR_TYPE +mkr_get_signal.argtypes = [ + FILE_READER_PTR, + ctypes.POINTER(SignalRowInfo), + ctypes.c_size_t, + ctypes.POINTER(ctypes.c_short), +] + mkr_free_signal_row_info = mkr_format.mkr_free_signal_row_info mkr_free_signal_row_info.restype = ERROR_TYPE mkr_free_signal_row_info.argtypes = [ diff --git a/python/mkr_format/reader.py b/python/mkr_format/reader.py index f463b89..a3288f8 100644 --- a/python/mkr_format/reader.py +++ b/python/mkr_format/reader.py @@ -1,55 +1,51 @@ +""" +Classes for reading data out of MKR files. +""" + import ctypes from collections import namedtuple +from datetime import datetime, timezone +import mmap from pathlib import Path import typing from uuid import UUID +import numpy +import pyarrow as pa + from . import c_api +from . import pyarrow_reader from .api_utils import check_error - -SignalRowInfo = namedtuple( - "SignalRowInfo", ["batch_index", "batch_row_index", "sample_count", "byte_count"] -) -PoreData = namedtuple("PoreData", ["channel", "well", "pore_type"]) -CalibrationData = namedtuple("CalibrationData", ["offset", "scale"]) -EndReasonData = namedtuple("EndReasonData", ["name", "forced"]) -RunInfoData = namedtuple( - "EndReasonData", - [ - "acquisition_id", - "acquisition_start_time_ms", - "adc_max", - "adc_min", - "context_tags", - "experiment_name", - "flow_cell_id", - "flow_cell_product_code", - "protocol_name", - "protocol_run_id", - "protocol_start_time_ms", - "sample_id", - "sample_rate", - "sequencing_kit", - "sequencer_position", - "sequencer_position_type", - "software", - "system_name", - "system_typacquisie", - "tracking_id", - ], +from .utils import make_split_filename +from .reader_utils import ( + PoreData, + CalibrationData, + EndReasonData, + RunInfoData, + SignalRowInfo, ) -def parse_dict(key_value_pairs): - out = {} +def _parse_map(key_value_pairs: c_api.KeyValueData) -> typing.Dict[str, str]: + """ + Parse a ctypes dict KeyValueData struct into a dict. + """ + out = [] for i in range(key_value_pairs.size): - out[key_value_pairs.keys[i].decode("utf-8")] = key_value_pairs.values[i].decode( - "utf-8" + out.append( + ( + key_value_pairs.keys[i].decode("utf-8"), + key_value_pairs.values[i].decode("utf-8"), + ) ) return out -class ReadRow: +class ReadRowCApi: + """ + Represents the data for a single read. + """ + def __init__(self, reader, batch, row): self._reader = reader self._batch = batch @@ -112,7 +108,7 @@ def cache_data(self): self._start_sample = start_sample.value self._median_before = median_before.value self._end_reason_idx = end_reason_idx.value - self._calibration_idx = end_reason_idx.value + self._calibration_idx = calibration_idx.value self._run_info_idx = run_info_idx.value self._signal_row_count = signal_row_count.value @@ -195,20 +191,65 @@ def sample_count(self): def byte_count(self): return sum(r.byte_count for r in self.signal_rows) - def _cache_dict_data(self, index, data_type, c_api_type, get, release): + @property + def signal(self): + if not self._signal_rows: + self.cache_signal_row_data() + output = numpy.empty(self.sample_count, dtype=numpy.int16) + + start = 0 + for row in self._signal_row_info: + sample_count = row.contents.stored_sample_count + check_error( + c_api.mkr_get_signal( + self._reader, + row, + sample_count, + output[start:].ctypes.data_as(ctypes.POINTER(ctypes.c_short)), + ) + ) + start += sample_count + return output + + def signal_for_chunk(self, i): + if not self._signal_rows: + self.cache_signal_row_data() + + row = self._signal_row_info[i] + sample_count = row.contents.stored_sample_count + output = numpy.empty(self.sample_count, dtype=numpy.int16) + check_error( + c_api.mkr_get_signal( + self._reader, + row, + sample_count, + output.ctypes.data_as(ctypes.POINTER(ctypes.c_short)), + ) + ) + return output + + def _cache_dict_data( + self, index, data_type, c_api_type, get, release, map_fields=None + ): data_ptr = ctypes.POINTER(c_api_type)() check_error(get(self._batch, index, ctypes.byref(data_ptr))) - def get_field(data, name): + def get_field(data, name, map_fields): val = getattr(data, name) if isinstance(val, bytes): val = val.decode("utf-8") - if isinstance(val, c_api.KeyValueData): - val = parse_dict(val) + elif isinstance(val, c_api.KeyValueData): + val = _parse_map(val) + + if map_fields and name in map_fields: + val = map_fields[name](val) + return val data = data_ptr.contents - tuple_data = data_type(*[get_field(data, f) for f, _ in data._fields_]) + tuple_data = data_type( + *[get_field(data, f, map_fields) for f, _ in data._fields_] + ) check_error(release(data)) return tuple_data @@ -264,17 +305,29 @@ def run_info(self): if not self._run_info: if not self._run_info_idx: self.cache_data() + + def to_datetime(val): + return datetime.fromtimestamp(val / 1000, timezone.utc) + self._run_info = self._cache_dict_data( self._run_info_idx, RunInfoData, c_api.RunInfoDictData, c_api.mkr_get_run_info, c_api.mkr_release_run_info, + { + "acquisition_start_time_ms": to_datetime, + "protocol_start_time_ms": to_datetime, + }, ) return self._run_info -class ReadBatch: +class ReadBatchCApi: + """ + Read data for a batch of reads. + """ + def __init__(self, reader, batch): self._reader = reader self._batch = batch @@ -287,17 +340,23 @@ def reads(self): check_error(c_api.mkr_get_read_batch_row_count(ctypes.byref(size), self._batch)) for i in range(size.value): - yield ReadRow(self._reader, self._batch, i) + yield ReadRowCApi(self._reader, self._batch, i) -class FileReader: +class FileReaderCApi: + """ + A reader for MKR data, opened using [open_combined_file], [open_split_file]. + """ + def __init__(self, reader): - if not reader: - raise Exception( - "Failed to open reader: " + c_api.mkr_get_error_string().decode("utf-8") - ) self._reader = reader + def __enter__(self): + return self + + def __exit__(self, type, value, traceback): + pass + def read_batches(self): size = ctypes.c_size_t() check_error(c_api.mkr_get_read_batch_count(ctypes.byref(size), self._reader)) @@ -307,7 +366,7 @@ def read_batches(self): check_error(c_api.mkr_get_read_batch(ctypes.byref(batch), self._reader, i)) - yield ReadBatch(self._reader, batch) + yield ReadBatchCApi(self._reader, batch) def reads(self): for batch in self.read_batches(): @@ -320,5 +379,65 @@ def select_reads(self, selection): return filter(lambda x: x.read_id in search_selection, self.reads()) -def open_combined_file(filename: Path) -> FileReader: - return FileReader(c_api.mkr_open_combined_file(str(filename).encode("utf-8"))) +class SubFileReader: + def __init__(self, filename, reader, getter): + location = c_api.EmbeddedFileData() + getter(reader, ctypes.byref(location)) + + self._file = open(str(filename), "r") + map = mmap.mmap( + self._file.fileno(), + length=0, + access=mmap.ACCESS_READ, + ) + map_view = memoryview(map) + sub_file = map_view[location.offset : location.offset + location.length] + self.reader = pa.ipc.open_file(pa.BufferReader(sub_file)) + + def __del__(self): + self._file.close() + + +def open_combined_file(filename: Path, use_c_api=False): + reader = c_api.mkr_open_combined_file(str(filename).encode("utf-8")) + if not reader: + raise Exception( + "Failed to open reader: " + c_api.mkr_get_error_string().decode("utf-8") + ) + + if use_c_api: + return FileReaderCApi(reader) + else: + read_reader = SubFileReader( + filename, reader, c_api.mkr_get_combined_file_read_table_location + ) + signal_reader = SubFileReader( + filename, reader, c_api.mkr_get_combined_file_signal_table_location + ) + return pyarrow_reader.FileReader(reader, read_reader, signal_reader) + + +def open_split_file(file: Path, reads_file: Path = None, use_c_api=False): + signal_file = file + if not reads_file: + signal_file, reads_file = make_split_filename(file) + + reader = c_api.mkr_open_split_file( + str(signal_file).encode("utf-8"), str(reads_file).encode("utf-8") + ) + if not reader: + raise Exception( + "Failed to open reader: " + c_api.mkr_get_error_string().decode("utf-8") + ) + + if use_c_api: + return FileReaderCApi(reader) + else: + + class ArrowReader: + def __init__(self, reader): + self.reader = pa.ipc.open_file(reader) + + read_reader = ArrowReader(reads_file) + signal_reader = ArrowReader(signal_file) + return pyarrow_reader.FileReader(reader, read_reader, signal_reader) diff --git a/python/mkr_format/tools/mkr_convert_fast5.py b/python/mkr_format/tools/mkr_convert_fast5.py index 0b7da1f..1566783 100644 --- a/python/mkr_format/tools/mkr_convert_fast5.py +++ b/python/mkr_format/tools/mkr_convert_fast5.py @@ -207,25 +207,25 @@ def get_reads_from_files(in_q, out_q, fast5_files, pre_compress_signal): out_q.put(ReadList(fast5_file, reads)) except Exception as exc: print(f"Error in file {fast5_file}: {exc}", file=sys.stderr) - pass + raise out_q.put(EndFile(fast5_file, file_read_sent_count)) def add_reads(file, reads, pre_compressed_signal): pore_types = numpy.array( - [file.find_pore(**r.pore)[0].value for r in reads], dtype=numpy.int16 + [file.find_pore(**r.pore)[0] for r in reads], dtype=numpy.int16 ) calib_types = numpy.array( - [file.find_calibration(**r.calibration)[0].value for r in reads], + [file.find_calibration(**r.calibration)[0] for r in reads], dtype=numpy.int16, ) end_reason_types = numpy.array( - [file.find_end_reason(**r.end_reason)[0].value for r in reads], + [file.find_end_reason(**r.end_reason)[0] for r in reads], dtype=numpy.int16, ) run_info_types = numpy.array( - [file.find_run_info(**r.run_info)[0].value for r in reads], dtype=numpy.int16 + [file.find_run_info(**r.run_info)[0] for r in reads], dtype=numpy.int16 ) file.add_reads( @@ -239,7 +239,7 @@ def add_reads(file, reads, pre_compressed_signal): run_info_types, [r.signal for r in reads], numpy.array([r.sample_count for r in reads], dtype=numpy.uint64), - pre_compressed_signal=True, + pre_compressed_signal=pre_compressed_signal, ) @@ -285,7 +285,7 @@ def get_file(self, input_path): reads_file = Path(str(output_path.with_suffix("")) + "_reads.mkr") for file in [signal_file, reads_file]: if self._force_overwrite: - signal_file.remove(missing_ok=True) + file.unlink(missing_ok=True) mkr_file = mkr_format.create_split_file(signal_file, reads_file) else: if self._force_overwrite: @@ -342,7 +342,7 @@ def main(): read_data_queue = ctx.Queue() # Always writing compressed files right now. - pre_compress_signal = False + pre_compress_signal = True # Divide up files between readers: pending_files = list(iterate_inputs(args.input)) diff --git a/python/mkr_format/writer.py b/python/mkr_format/writer.py index 451d133..4240a5e 100644 --- a/python/mkr_format/writer.py +++ b/python/mkr_format/writer.py @@ -1,11 +1,13 @@ import ctypes from enum import Enum from pathlib import Path +import pytz import typing import numpy from . import c_api from .api_utils import check_error +from .utils import make_split_filename def list_to_char_arrays(iterable: typing.Iterable[str]): @@ -42,6 +44,18 @@ def array_of_pointers_to_numpy_data(ctype, numpy_data): return array +def map_to_tuple(tup): + if isinstance(tup, dict): + return tuple(i for i in tup.items()) + elif isinstance(tup, list): + return tuple(i for i in tup) + raise Exception("Unknown input type for context tags") + + +def timestamp_to_int(ts): + return int(ts.astimezone(pytz.utc).timestamp() * 1000) + + class EndReason(Enum): UNKNOWN = 0 MUX_CHANGE = 1 @@ -115,6 +129,11 @@ def find_end_reason( return added_idx, True def find_run_info(self, **args) -> typing.Tuple[ctypes.c_short, bool]: + if not isinstance(args["context_tags"], tuple): + args["context_tags"] = map_to_tuple(args["context_tags"]) + if not isinstance(args["tracking_id"], tuple): + args["tracking_id"] = map_to_tuple(args["tracking_id"]) + data = tuple(args.values()) if data in self._run_info_types: return self._run_info_types[data], False @@ -138,7 +157,7 @@ def add_read( pre_compressed_signal: bool = False, ): return self.add_reads( - numpy.array([read_id], dtype=numpy.uint8), + numpy.array([numpy.frombuffer(read_id, dtype=numpy.uint8)]), numpy.array([pore], dtype=numpy.int16), numpy.array([calibration], dtype=numpy.int16), numpy.array([read_number], dtype=numpy.uint32), @@ -146,8 +165,8 @@ def add_read( numpy.array([median_before], dtype=numpy.float), numpy.array([end_reason], dtype=numpy.int16), numpy.array([run_info], dtype=numpy.int16), - numpy.array([signal], dtype=numpy.int16), - numpy.array([sample_count], type=numpy.uint32), + [signal], + numpy.array([sample_count], dtype=numpy.uint32), pre_compressed_signal, ) @@ -176,13 +195,15 @@ def add_reads( end_reasons = end_reasons.astype(numpy.int16, copy=False) run_infos = run_infos.astype(numpy.int16, copy=False) + short_ptr_type = ctypes.POINTER(ctypes.c_short) + numpy_size_t = numpy.uint64 if pre_compressed_signal: - numpy_size_t = numpy.uint64 signals_bytes = numpy.array( [signal.ctypes.data_as(ctypes.c_char_p).value for signal in signals] ) signals_size = numpy.array( - [signal.shape[0] for signal in signals], dtype=numpy_size_t + [signal.shape[0] * signal.itemsize for signal in signals], + dtype=numpy_size_t, ) signals_size_ptrs = array_of_pointers_to_numpy_data( ctypes.c_size_t, signals_size @@ -200,7 +221,6 @@ def add_reads( ) signal_chunk_counts = numpy.ones(dtype=numpy_size_t, shape=(len(signals))) - short_ptr_type = ctypes.POINTER(ctypes.c_short) check_error( c_api.mkr_add_reads_pre_compressed( self._writer, @@ -220,18 +240,15 @@ def add_reads( ) ) else: - signal_pointer_type = ctypes.POINTER(ctypes.c_char_p) + signal_pointer_type = ctypes.POINTER(ctypes.c_short) signal_ptrs = (signal_pointer_type * len(signals))() for i in range(len(signals)): - signal_ptrs[i] = ctypes.pointer( - signals[i].ctypes.data_as(ctypes.c_short) + signal_ptrs[i] = signals[i].ctypes.data_as( + ctypes.POINTER(ctypes.c_short) ) signals_size = numpy.array( - [signal.shape[0] for signal in signals], dtype=numpy_size_t - ) - signals_size_ptrs = array_of_pointers_to_numpy_data( - ctypes.c_size_t, signals_size + [signal.shape[0] for signal in signals], dtype=numpy.uint32 ) check_error( @@ -247,7 +264,7 @@ def add_reads( end_reasons.ctypes.data_as(short_ptr_type), run_infos.ctypes.data_as(short_ptr_type), signal_ptrs, - signals_size_ptrs, + signals_size.ctypes.data_as(ctypes.POINTER(ctypes.c_uint)), ) ) @@ -262,7 +279,7 @@ def add_pore(self, channel: int, well: int, pore_type: str) -> ctypes.c_short: pore_type.encode("utf-8"), ) ) - return index_out + return index_out.value def add_calibration( self, @@ -281,7 +298,7 @@ def add_calibration( ctypes.byref(index_out), self._writer, offset, scale ) ) - return index_out + return index_out.value def add_end_reason(self, name: EndReason, forced: bool) -> ctypes.c_short: index_out = ctypes.c_short() @@ -290,12 +307,12 @@ def add_end_reason(self, name: EndReason, forced: bool) -> ctypes.c_short: ctypes.byref(index_out), self._writer, name.value, forced ) ) - return index_out + return index_out.value def add_run_info( self, acquisition_id: str, - acquisition_start_time_ms: int, + acquisition_start_time, adc_max: int, adc_min: int, context_tags: typing.Dict[str, str], @@ -304,7 +321,7 @@ def add_run_info( flow_cell_product_code: str, protocol_name: str, protocol_run_id: str, - protocol_start_time_ms: int, + protocol_start_time, sample_id: str, sample_rate: int, sequencing_kit: str, @@ -315,13 +332,22 @@ def add_run_info( system_type: str, tracking_id: typing.Dict[str, str], ): + if not isinstance(acquisition_start_time, int): + acquisition_start_time = timestamp_to_int(acquisition_start_time) + if not isinstance(protocol_start_time, int): + protocol_start_time = timestamp_to_int(protocol_start_time) + if not isinstance(context_tags, tuple): + context_tags = map_to_tuple(context_tags) + if not isinstance(tracking_id, tuple): + tracking_id = map_to_tuple(tracking_id) + index_out = ctypes.c_short() check_error( c_api.mkr_add_run_info( ctypes.byref(index_out), self._writer, acquisition_id.encode("utf-8"), - acquisition_start_time_ms, + acquisition_start_time, adc_max, adc_min, *tuple_to_char_arrays(context_tags), @@ -330,7 +356,7 @@ def add_run_info( flow_cell_product_code.encode("utf-8"), protocol_name.encode("utf-8"), protocol_run_id.encode("utf-8"), - protocol_start_time_ms, + protocol_start_time, sample_id.encode("utf-8"), sample_rate, sequencing_kit.encode("utf-8"), @@ -342,7 +368,7 @@ def add_run_info( *tuple_to_char_arrays(tracking_id), ) ) - return index_out + return index_out.value @staticmethod def find_scale( @@ -375,9 +401,14 @@ def create_combined_file( def create_split_file( - signal_file: Path, reads_file: Path, software_name: str = "Python API" + file: Path, reads_file: Path = None, software_name: str = "Python API" ) -> FileWriter: options = None + + signal_file = file + if reads_file == None: + signal_file, reads_file = make_split_filename(file) + return FileWriter( c_api.mkr_create_split_file( str(signal_file).encode("utf-8"), @@ -386,18 +417,3 @@ def create_split_file( options, ) ) - - -def vbz_compress_signal(signal): - max_signal_size = c_api.mkr_vbz_compressed_signal_max_size(len(signal)) - signal_bytes = numpy.empty(max_signal_size, dtype="i1") - - signal_size = ctypes.c_size_t(max_signal_size) - c_api.mkr_vbz_compress_signal( - signal.ctypes.data_as(ctypes.POINTER(ctypes.c_int16)), - signal.shape[0], - signal_bytes.ctypes.data_as(ctypes.c_char_p), - ctypes.pointer(signal_size), - ) - signal_bytes = numpy.resize(signal_bytes, signal_size.value) - return signal_bytes diff --git a/python/pyproject.toml b/python/pyproject.toml index 2505dfb..5dbf282 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -15,6 +15,13 @@ dependencies = [ "h5py", "more_itertools", "numpy", + "pyarrow", +] + +[project.optional-dependencies] +test = [ + "pytest ~= 6.2", + "pytest-cov ~= 3.0", ] [project.scripts] diff --git a/python/tests/test_api.py b/python/tests/test_api.py new file mode 100644 index 0000000..2d1c2d3 --- /dev/null +++ b/python/tests/test_api.py @@ -0,0 +1,273 @@ +from collections import namedtuple +from datetime import datetime, timezone +from pathlib import Path +import tempfile +from uuid import uuid4, uuid5, UUID + +import numpy +import pytest + +import mkr_format +import mkr_format.signal_tools + +TEST_UUID = uuid4() + +ReadData = namedtuple( + "ReadData", + [ + "read_id", + "pore", + "calibration", + "read_number", + "start_sample", + "median_before", + "end_reason", + "run_info", + "signal", + ], +) + + +def gen_test_read(seed) -> ReadData: + numpy.random.seed(seed) + + def get_random_float(): + return float(numpy.random.rand(1)[0]) + + def get_random_int(low, high): + return int(numpy.random.randint(low, high, 1)[0]) + + def get_random_str(prefix): + return f"{prefix}_{numpy.random.randint(1)}" + + size = get_random_int(0, 1000) + signal = numpy.random.randint(0, 1024, size, dtype=numpy.int16) + + return ReadData( + uuid5(TEST_UUID, str(seed)).bytes, + mkr_format.PoreData( + get_random_int(0, 3000), get_random_int(0, 4), get_random_str("pore_type_") + ), + mkr_format.CalibrationData(get_random_float(), get_random_float()), + get_random_int(0, 100000), + get_random_int(0, 10000000), + get_random_float(), + mkr_format.EndReasonData( + mkr_format.EndReason(get_random_int(0, 5)), get_random_int(0, 1) + ), + mkr_format.RunInfoData( + get_random_str("acq_id"), + datetime.fromtimestamp(get_random_int(0, 1), timezone.utc), + get_random_int(0, 1000), + get_random_int(-1000, 0), + [ + (get_random_str("context"), get_random_str("tag")), + ], + get_random_str("exp_name"), + get_random_str("flow_cell"), + get_random_str("product_code"), + get_random_str("protocol"), + get_random_str("protocol_run_id"), + datetime.fromtimestamp(get_random_int(0, 1), timezone.utc), + get_random_str("sample_id"), + get_random_int(0, 10000), + get_random_str("seq_kit"), + get_random_str("position"), + get_random_str("position_type"), + get_random_str("software"), + get_random_str("system_name"), + get_random_str("system_type"), + [ + (get_random_str("tracking"), get_random_str("id")), + ], + ), + signal, + ) + + +def run_writer_test(f): + test_read = gen_test_read(0) + f.add_read( + test_read.read_id, + f.find_pore(**test_read.pore._asdict())[0], + f.find_calibration(**test_read.calibration._asdict())[0], + test_read.read_number, + test_read.start_sample, + test_read.median_before, + f.find_end_reason(**test_read.end_reason._asdict())[0], + f.find_run_info(**test_read.run_info._asdict())[0], + test_read.signal, + test_read.signal.shape[0], + pre_compressed_signal=False, + ) + + test_read = gen_test_read(1) + f.add_read( + test_read.read_id, + f.find_pore(**test_read.pore._asdict())[0], + f.find_calibration(**test_read.calibration._asdict())[0], + test_read.read_number, + test_read.start_sample, + test_read.median_before, + f.find_end_reason(**test_read.end_reason._asdict())[0], + f.find_run_info(**test_read.run_info._asdict())[0], + mkr_format.signal_tools.vbz_compress_signal(test_read.signal), + test_read.signal.shape[0], + pre_compressed_signal=True, + ) + + test_reads = [ + gen_test_read(2), + gen_test_read(3), + gen_test_read(4), + gen_test_read(5), + ] + f.add_reads( + numpy.array( + [numpy.frombuffer(r.read_id, dtype=numpy.uint8) for r in test_reads] + ), + numpy.array( + [f.find_pore(**r.pore._asdict())[0] for r in test_reads], dtype=numpy.int16 + ), + numpy.array( + [f.find_calibration(**r.calibration._asdict())[0] for r in test_reads], + dtype=numpy.int16, + ), + numpy.array([r.read_number for r in test_reads], dtype=numpy.uint32), + numpy.array([r.start_sample for r in test_reads], dtype=numpy.uint64), + numpy.array([r.median_before for r in test_reads], dtype=numpy.float32), + numpy.array( + [f.find_end_reason(**r.end_reason._asdict())[0] for r in test_reads], + dtype=numpy.int16, + ), + numpy.array( + [f.find_run_info(**r.run_info._asdict())[0] for r in test_reads], + dtype=numpy.int16, + ), + [r.signal for r in test_reads], + numpy.array([len(r.signal) for r in test_reads], dtype=numpy.uint64), + pre_compressed_signal=False, + ) + + test_reads = [ + gen_test_read(6), + gen_test_read(7), + gen_test_read(8), + gen_test_read(9), + ] + f.add_reads( + numpy.array( + [numpy.frombuffer(r.read_id, dtype=numpy.uint8) for r in test_reads] + ), + numpy.array( + [f.find_pore(**r.pore._asdict())[0] for r in test_reads], dtype=numpy.int16 + ), + numpy.array( + [f.find_calibration(**r.calibration._asdict())[0] for r in test_reads], + dtype=numpy.int16, + ), + numpy.array([r.read_number for r in test_reads], dtype=numpy.uint32), + numpy.array([r.start_sample for r in test_reads], dtype=numpy.uint64), + numpy.array([r.median_before for r in test_reads], dtype=numpy.float32), + numpy.array( + [f.find_end_reason(**r.end_reason._asdict())[0] for r in test_reads], + dtype=numpy.int16, + ), + numpy.array( + [f.find_run_info(**r.run_info._asdict())[0] for r in test_reads], + dtype=numpy.int16, + ), + [mkr_format.signal_tools.vbz_compress_signal(r.signal) for r in test_reads], + numpy.array([len(r.signal) for r in test_reads], dtype=numpy.uint64), + pre_compressed_signal=True, + ) + + +def run_reader_test(r): + for idx, read in enumerate(r.reads()): + print(idx) + data = gen_test_read(idx) + + assert UUID(bytes=data.read_id) == read.read_id + assert data.read_number == read.read_number + assert data.start_sample == read.start_sample + assert pytest.approx(data.median_before) == read.median_before + + assert data.pore == read.pore + assert pytest.approx(data.calibration.offset) == read.calibration.offset + assert pytest.approx(data.calibration.scale) == read.calibration.scale + assert str(data.end_reason.name).split(".")[1].lower() == read.end_reason.name + assert data.end_reason.forced == read.end_reason.forced + + assert data.run_info == read.run_info + + assert data.signal.shape[0] == read.sample_count + # Expecting poor compression given the random input + assert 0 < read.byte_count < (len(data.signal) * data.signal.itemsize + 24) + assert len(read.signal_rows) >= 1 + + assert (read.signal == data.signal).all() + chunk_signals = [read.signal_for_chunk(i) for i in range(len(read.signal_rows))] + assert (numpy.concatenate(chunk_signals) == data.signal).all() + + +def test_c_api_combined(): + with tempfile.TemporaryDirectory() as td: + path = Path(td) / "combined.mkr" + with mkr_format.create_combined_file(path) as f: + run_writer_test(f) + + with mkr_format.open_combined_file(path, use_c_api=True) as r: + run_reader_test(r) + + +def test_c_api_split(): + with tempfile.TemporaryDirectory() as td: + signal = Path(td) / "split_signal.mkr" + reads = Path(td) / "split_reads.mkr" + with mkr_format.create_split_file(signal, reads) as f: + run_writer_test(f) + + with mkr_format.open_split_file(signal, reads, use_c_api=True) as r: + run_reader_test(r) + + +def test_c_api_split_one_name(): + with tempfile.TemporaryDirectory() as td: + p = Path(td) / "split.mkr" + with mkr_format.create_split_file(p) as f: + run_writer_test(f) + + with mkr_format.open_split_file(p, use_c_api=True) as r: + run_reader_test(r) + + +def test_pyarrow_combined(): + with tempfile.TemporaryDirectory() as td: + path = Path(td) / "combined.mkr" + with mkr_format.create_combined_file(path) as f: + run_writer_test(f) + + with mkr_format.open_combined_file(path, use_c_api=False) as r: + run_reader_test(r) + + +def test_pyarrow_split(): + with tempfile.TemporaryDirectory() as td: + signal = Path(td) / "split_signal.mkr" + reads = Path(td) / "split_reads.mkr" + with mkr_format.create_split_file(signal, reads) as f: + run_writer_test(f) + + with mkr_format.open_split_file(signal, reads, use_c_api=False) as r: + run_reader_test(r) + + +def test_pyarrow_split_one_name(): + with tempfile.TemporaryDirectory() as td: + p = Path(td) / "split.mkr" + with mkr_format.create_split_file(p) as f: + run_writer_test(f) + + with mkr_format.open_split_file(p, use_c_api=False) as r: + run_reader_test(r) From 28d758b69d80a09c364ee38834b100174db846dc Mon Sep 17 00:00:00 2001 From: George Pimm Date: Tue, 3 May 2022 12:17:14 +0100 Subject: [PATCH 02/28] add missing data --- .gitlab-ci.yml | 3 +- python/mkr_format/pyarrow_reader.py | 171 +++++++++++++++++++ python/mkr_format/reader_utils.py | 33 ++++ python/mkr_format/signal_tools.py | 68 ++++++++ python/mkr_format/tools/mkr_convert_fast5.py | 49 +++--- python/mkr_format/utils.py | 23 +++ python/tests/tools/check_mkr_files_equal.py | 71 ++++++++ 7 files changed, 394 insertions(+), 24 deletions(-) create mode 100644 python/mkr_format/pyarrow_reader.py create mode 100644 python/mkr_format/reader_utils.py create mode 100644 python/mkr_format/signal_tools.py create mode 100644 python/mkr_format/utils.py create mode 100644 python/tests/tools/check_mkr_files_equal.py diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index c093a36..e08e652 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -128,4 +128,5 @@ wheel-test: - wheel-build script: - pip install ./wheels/* - - mkr-convert-fast5 ./test_files/ ./output_files --output-one-to-one \ No newline at end of file + - mkr-convert-fast5 ./test_files/ ./output_files --output-one-to-one + - python3 pyton/tests/ \ No newline at end of file diff --git a/python/mkr_format/pyarrow_reader.py b/python/mkr_format/pyarrow_reader.py new file mode 100644 index 0000000..12d9d2e --- /dev/null +++ b/python/mkr_format/pyarrow_reader.py @@ -0,0 +1,171 @@ +from datetime import datetime +from uuid import UUID + +import numpy +import pyarrow as pa + +from .signal_tools import vbz_decompress_signal +from .reader_utils import ( + PoreData, + CalibrationData, + EndReasonData, + RunInfoData, + SignalRowInfo, +) + + +class ReadRowPyArrow: + """ + Represents the data for a single read. + """ + + def __init__(self, reader, batch, row): + self._reader = reader + self._batch = batch + self._row = row + + @property + def read_id(self): + return UUID(bytes=self._batch.column("read_id")[self._row].as_py()) + + @property + def read_number(self): + return self._batch.column("read_number")[self._row].as_py() + + @property + def start_sample(self): + return self._batch.column("start")[self._row].as_py() + + @property + def median_before(self): + return self._batch.column("median_before")[self._row].as_py() + + @property + def pore(self): + return PoreData(**self._batch.column("pore")[self._row].as_py()) + + @property + def calibration(self): + return CalibrationData(**self._batch.column("calibration")[self._row].as_py()) + + @property + def end_reason(self): + return EndReasonData(**self._batch.column("end_reason")[self._row].as_py()) + + @property + def run_info(self): + val = self._batch.column("run_info")[self._row] + return RunInfoData(**self._batch.column("run_info")[self._row].as_py()) + + @property + def sample_count(self): + return sum(r.sample_count for r in self.signal_rows) + + @property + def byte_count(self): + return sum(r.byte_count for r in self.signal_rows) + + @property + def signal(self): + output = [] + for r in self._batch.column("signal")[self._row]: + output.append(self._get_signal_for_row(r.as_py())) + + return numpy.concatenate(output) + + def signal_for_chunk(self, i): + output = [] + chunk_abs_row_index = self._batch.column("signal")[self._row][i] + return self._get_signal_for_row(chunk_abs_row_index.as_py()) + + @property + def signal_rows(self): + def map_signal_row(sig_row): + sig_row = sig_row.as_py() + + batch, batch_index, batch_row_index = self._find_signal_row_index(sig_row) + return SignalRowInfo( + batch_index, + batch_row_index, + batch.column("samples")[batch_row_index].as_py(), + len(batch.column("signal")[batch_row_index].as_buffer()), + ) + + return [map_signal_row(r) for r in self._batch.column("signal")[self._row]] + + def _find_signal_row_index(self, signal_row): + """ + Map from a signal_row to a batch, batch index and row index within that batch. + """ + sig_row_count = self._reader._signal_batch_row_count + sig_batch_idx = signal_row // sig_row_count + sig_batch = self._reader._signal_reader.reader.get_record_batch(sig_batch_idx) + batch_row_idx = signal_row - (sig_batch_idx * sig_row_count) + + return ( + sig_batch, + signal_row // sig_row_count, + signal_row - (sig_batch_idx * sig_row_count), + ) + + def _get_signal_for_row(self, r): + batch, batch_index, batch_row_index = self._find_signal_row_index(r) + + signal = batch.column("signal") + if isinstance(signal, pa.lib.LargeBinaryArray): + sample_count = batch.column("samples")[batch_row_index].as_py() + output = numpy.empty(sample_count, dtype=numpy.uint8) + compressed_signal = signal[batch_row_index].as_py() + return vbz_decompress_signal(compressed_signal, sample_count) + else: + return signal.to_numpy() + + +class ReadBatchPyArrow: + """ + Read data for a batch of reads. + """ + + def __init__(self, reader, batch): + self._reader = reader + self._batch = batch + + def reads(self): + for i in range(self._batch.num_rows): + yield ReadRowPyArrow(self._reader, self._batch, i) + + +class FileReader: + """ + A reader for MKR data, opened using [open_combined_file], [open_split_file]. + """ + + def __init__(self, reader, read_reader, signal_reader): + self._reader = reader + self._read_reader = read_reader + self._signal_reader = signal_reader + + if self._signal_reader.reader.num_record_batches > 0: + self._signal_batch_row_count = self._signal_reader.reader.get_record_batch( + 0 + ).num_rows + + def __enter__(self): + return self + + def __exit__(self, type, value, traceback): + pass + + def read_batches(self): + for i in range(self._read_reader.reader.num_record_batches): + yield ReadBatchPyArrow(self, self._read_reader.reader.get_record_batch(i)) + + def reads(self): + for batch in self.read_batches(): + for read in batch.reads(): + yield read + + def select_reads(self, selection): + search_selection = set(selection) + + return filter(lambda x: x.read_id in search_selection, self.reads()) diff --git a/python/mkr_format/reader_utils.py b/python/mkr_format/reader_utils.py new file mode 100644 index 0000000..7cb4c69 --- /dev/null +++ b/python/mkr_format/reader_utils.py @@ -0,0 +1,33 @@ +from collections import namedtuple + +SignalRowInfo = namedtuple( + "SignalRowInfo", ["batch_index", "batch_row_index", "sample_count", "byte_count"] +) +PoreData = namedtuple("PoreData", ["channel", "well", "pore_type"]) +CalibrationData = namedtuple("CalibrationData", ["offset", "scale"]) +EndReasonData = namedtuple("EndReasonData", ["name", "forced"]) +RunInfoData = namedtuple( + "RunInfoData", + [ + "acquisition_id", + "acquisition_start_time", + "adc_max", + "adc_min", + "context_tags", + "experiment_name", + "flow_cell_id", + "flow_cell_product_code", + "protocol_name", + "protocol_run_id", + "protocol_start_time", + "sample_id", + "sample_rate", + "sequencing_kit", + "sequencer_position", + "sequencer_position_type", + "software", + "system_name", + "system_type", + "tracking_id", + ], +) diff --git a/python/mkr_format/signal_tools.py b/python/mkr_format/signal_tools.py new file mode 100644 index 0000000..cc76d13 --- /dev/null +++ b/python/mkr_format/signal_tools.py @@ -0,0 +1,68 @@ +import ctypes + +import numpy + +from . import c_api +from .api_utils import check_error + + +def vbz_decompress_signal(compressed_signal, sample_count): + """ + Decompress a numpy array of compressed signal data + + Parameters + ---------- + compressed_signal : numpy.array + The array of compressed signal data to decompress. + sample_count : int + The sample count of the decompressed data. + + Returns + ------- + A decompressed numpy int16 array + """ + signal = numpy.empty(sample_count, dtype="i2") + + compressed_signal_data = compressed_signal + if isinstance(compressed_signal, numpy.ndarray): + print("denumpify") + compressed_signal_data = compressed_signal.ctypes.data_as(ctypes.c_char_p) + + check_error( + c_api.mkr_vbz_decompress_signal( + compressed_signal_data, + len(compressed_signal), + sample_count, + signal.ctypes.data_as(ctypes.POINTER(ctypes.c_short)), + ) + ) + return signal + + +def vbz_compress_signal(signal): + """ + Compress a numpy array of signal data + + Parameters + ---------- + signal : numpy.array + The array of signal data to compress. + + Returns + ------- + A compressed numpy byte array + """ + max_signal_size = c_api.mkr_vbz_compressed_signal_max_size(len(signal)) + signal_bytes = numpy.empty(max_signal_size, dtype="i1") + + signal_size = ctypes.c_size_t(max_signal_size) + check_error( + c_api.mkr_vbz_compress_signal( + signal.ctypes.data_as(ctypes.POINTER(ctypes.c_int16)), + signal.shape[0], + signal_bytes.ctypes.data_as(ctypes.c_char_p), + ctypes.pointer(signal_size), + ) + ) + signal_bytes = numpy.resize(signal_bytes, signal_size.value) + return signal_bytes diff --git a/python/mkr_format/tools/mkr_convert_fast5.py b/python/mkr_format/tools/mkr_convert_fast5.py index 1566783..30e323e 100644 --- a/python/mkr_format/tools/mkr_convert_fast5.py +++ b/python/mkr_format/tools/mkr_convert_fast5.py @@ -31,19 +31,20 @@ def format_sample_count(count): def find_end_reason(end_reason): - if end_reason == 2: - return {"name": mkr_format.EndReason.MUX_CHANGE, "forced": True} - elif end_reason == 3: - return {"name": mkr_format.EndReason.UNBLOCK_MUX_CHANGE, "forced": True} - elif end_reason == 4: - return { - "name": mkr_format.EndReason.DATA_SERVICE_UNBLOCK_MUX_CHANGE, - "forced": True, - } - elif end_reason == 5: - return {"name": mkr_format.EndReason.SIGNAL_POSITIVE, "forced": False} - elif end_reason == 6: - return {"name": mkr_format.EndReason.SIGNAL_NEGATIVE, "forced": False} + if end_reason is not None: + if end_reason == 2: + return {"name": mkr_format.EndReason.MUX_CHANGE, "forced": True} + elif end_reason == 3: + return {"name": mkr_format.EndReason.UNBLOCK_MUX_CHANGE, "forced": True} + elif end_reason == 4: + return { + "name": mkr_format.EndReason.DATA_SERVICE_UNBLOCK_MUX_CHANGE, + "forced": True, + } + elif end_reason == 5: + return {"name": mkr_format.EndReason.SIGNAL_POSITIVE, "forced": False} + elif end_reason == 6: + return {"name": mkr_format.EndReason.SIGNAL_NEGATIVE, "forced": False} return {"name": mkr_format.EndReason.UNKNOWN, "forced": False} @@ -53,10 +54,9 @@ def get_datetime_as_epoch_ms(time_str): if time_str == None: return 0 try: - date = iso8601.parse_date(time_str.decode("utf-8")) + return iso8601.parse_date(time_str.decode("utf-8")) except iso8601.iso8601.ParseError: return 0 - return int((date - epoch).total_seconds() * 1000) ReadRequest = namedtuple("ReadRequest", []) @@ -123,7 +123,11 @@ def get_reads_from_files(in_q, out_q, fast5_files, pre_compress_signal): "adc_range": channel_id.attrs["range"], "digitisation": channel_id.attrs["digitisation"], } - end_reason_type = find_end_reason(raw.attrs["end_reason"]) + end_reason_type = find_end_reason( + raw.attrs["end_reason"] + if "end_reason" in raw.attrs + else None + ) acq_id = attrs["run_id"].decode("utf-8") if not run_cache or run_cache.acquisition_id != acq_id: @@ -137,7 +141,7 @@ def get_reads_from_files(in_q, out_q, fast5_files, pre_compress_signal): context_tags = dict(inp[key]["context_tags"].attrs) run_info_type = { "acquisition_id": acq_id, - "acquisition_start_time_ms": get_datetime_as_epoch_ms( + "acquisition_start_time": get_datetime_as_epoch_ms( tracking_id["exp_start_time"] ), "adc_max": adc_max, @@ -156,7 +160,7 @@ def get_reads_from_files(in_q, out_q, fast5_files, pre_compress_signal): "protocol_run_id": tracking_id[ "protocol_run_id" ].decode("utf-8"), - "protocol_start_time_ms": get_datetime_as_epoch_ms( + "protocol_start_time": get_datetime_as_epoch_ms( tracking_id.get("protocol_start_time", None) ), "sample_id": tracking_id["sample_id"].decode("utf-8"), @@ -186,7 +190,7 @@ def get_reads_from_files(in_q, out_q, fast5_files, pre_compress_signal): signal = raw["Signal"][()] sample_count = signal.shape[0] if pre_compress_signal: - signal = mkr_format.vbz_compress_signal(signal) + signal = mkr_format.signal_tools.vbz_compress_signal(signal) reads.append( Read( @@ -244,13 +248,12 @@ def add_reads(file, reads, pre_compressed_signal): def iterate_inputs(input_items): - ctx = mp.get_context("spawn") for input_item in input_items: - if input_item.is_file(): - yield input_item - else: + if input_item.is_dir(): for file in input_item.glob("*.fast5"): yield file + else: + yield input_item class FileWrapper: diff --git a/python/mkr_format/utils.py b/python/mkr_format/utils.py new file mode 100644 index 0000000..a85b219 --- /dev/null +++ b/python/mkr_format/utils.py @@ -0,0 +1,23 @@ +from pathlib import Path +import typing + + +def make_split_filename(file: Path) -> typing.Tuple[Path, Path]: + """ + Find a sensible name for a split mkr file pair, given a single destination filename. + + Parameters + ---------- + file : Path + The name for the file pair. + + Returns + ------- + A tuple of names, one for the signal and the other the reads file. + """ + + unsuffixed = Path(file).with_suffix("") + signal_file = Path(str(unsuffixed) + "_signal" + file.suffix) + reads_file = Path(str(unsuffixed) + "_reads" + file.suffix) + + return signal_file, reads_file diff --git a/python/tests/tools/check_mkr_files_equal.py b/python/tests/tools/check_mkr_files_equal.py new file mode 100644 index 0000000..8aba4bc --- /dev/null +++ b/python/tests/tools/check_mkr_files_equal.py @@ -0,0 +1,71 @@ +import argparse +import itertools +import sys + +import mkr_format + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument("input_a") + parser.add_argument("input_b") + + args = parser.parse_args() + + file_a = mkr_format.open_combined_file(args.input_a) + file_b = mkr_format.open_combined_file(args.input_b) + + fields = [ + "read_number", + "start_sample", + "median_before", + "pore", + "calibration", + "end_reason", + "run_info", + ] + + errors = 0 + read_count = 0 + for a, b in itertools.zip_longest(file_a.reads(), file_b.reads()): + read_count += 1 + + if a.read_id != b.read_id: + print( + f"Different reads found in file at row {read_count}: {a.read_id} vs {b.read_id}" + ) + errors += 1 + + read_id = a.read_id + + for field in fields: + a_val = getattr(a, field) + b_val = getattr(b, field) + # Handle NAN specially: + if a_val != a_val: + if b_val == b_val: + print( + f"Read {read_id}: Field {field} not equal: {a_val} vs {b_val}" + ) + errors += 1 + else: + if a_val != b_val: + print( + f"Read {read_id}: Field {field} not equal: {a_val} vs {b_val}" + ) + errors += 1 + + if (a.signal != b.signal).any(): + print(f"{read_id} signal not equal: {a_val} vs {b_val}") + errors += 1 + + if errors == 0: + print("Files consistent") + sys.exit(0) + + print("Errors detected") + sys.exit(1) + + +if __name__ == "__main__": + main() From be31cd7d66c9cc01e16968ad3603469565019eb1 Mon Sep 17 00:00:00 2001 From: George Pimm Date: Tue, 3 May 2022 13:00:24 +0100 Subject: [PATCH 03/28] fix build --- c++/mkr_format/file_reader.cpp | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/c++/mkr_format/file_reader.cpp b/c++/mkr_format/file_reader.cpp index b8bdf69..ba706e2 100644 --- a/c++/mkr_format/file_reader.cpp +++ b/c++/mkr_format/file_reader.cpp @@ -44,9 +44,9 @@ class FileReaderImpl : public FileReader { return m_signal_table_reader.signal_batch_for_row_id(row, batch_start_row); } - Result read_table_location() const { return m_read_table_location; } + Result read_table_location() const override { return m_read_table_location; } - Result signal_table_location() const { return m_signal_table_location; } + Result signal_table_location() const override { return m_signal_table_location; } private: FileLocation m_read_table_location; From 945a55d0044c4b1f9c1b3ba6d2868688a06c399c Mon Sep 17 00:00:00 2001 From: George Pimm Date: Tue, 3 May 2022 13:22:59 +0100 Subject: [PATCH 04/28] add benchmarking tools --- benchmarks/.gitignore | 2 + benchmarks/README.md | 37 ++++++++ benchmarks/build.sh | 7 ++ benchmarks/convert/run.sh | 16 ++++ benchmarks/find_all_read_ids/run.sh | 27 ++++++ .../find_selected_read_ids_read_number/run.sh | 25 +++++ .../run.sh | 25 +++++ benchmarks/image/Dockerfile.base | 15 +++ benchmarks/run_all_benchmarks.sh | 12 +++ benchmarks/run_benchmark.sh | 14 +++ benchmarks/tools/check_csvs_consistent.py | 35 +++++++ benchmarks/tools/fast5_to_single_blow5.sh | 18 ++++ benchmarks/tools/find_and_get_fast5.py | 91 +++++++++++++++++++ benchmarks/tools/find_and_get_mkr.py | 85 +++++++++++++++++ benchmarks/tools/find_and_get_slow5.py | 84 +++++++++++++++++ benchmarks/tools/select-random-ids.py | 26 ++++++ benchmarks/tools/time.py | 34 +++++++ 17 files changed, 553 insertions(+) create mode 100644 benchmarks/.gitignore create mode 100644 benchmarks/README.md create mode 100755 benchmarks/build.sh create mode 100755 benchmarks/convert/run.sh create mode 100755 benchmarks/find_all_read_ids/run.sh create mode 100755 benchmarks/find_selected_read_ids_read_number/run.sh create mode 100755 benchmarks/find_selected_read_ids_sample_count/run.sh create mode 100644 benchmarks/image/Dockerfile.base create mode 100755 benchmarks/run_all_benchmarks.sh create mode 100755 benchmarks/run_benchmark.sh create mode 100755 benchmarks/tools/check_csvs_consistent.py create mode 100755 benchmarks/tools/fast5_to_single_blow5.sh create mode 100755 benchmarks/tools/find_and_get_fast5.py create mode 100755 benchmarks/tools/find_and_get_mkr.py create mode 100755 benchmarks/tools/find_and_get_slow5.py create mode 100755 benchmarks/tools/select-random-ids.py create mode 100755 benchmarks/tools/time.py diff --git a/benchmarks/.gitignore b/benchmarks/.gitignore new file mode 100644 index 0000000..a2fb540 --- /dev/null +++ b/benchmarks/.gitignore @@ -0,0 +1,2 @@ +*/outputs/ +image/*.whl \ No newline at end of file diff --git a/benchmarks/README.md b/benchmarks/README.md new file mode 100644 index 0000000..df179ac --- /dev/null +++ b/benchmarks/README.md @@ -0,0 +1,37 @@ +MKR Benchmarks +============== + +Building the benchmark environment +---------------------------------- + +To run benchmarks you first have to build the docker environment to run them: + +```bash +> ./build.sh +``` + + +Running a benchmark +------------------- + +To run a benchmark, use the helper script to start the docker image: + +```bash +> ./run_benchmark.sh convert ./path-to-source-files/ + + + +Benchmarking Result +------------------- + +### Converting fast5 + +fast5 dataset size: 11.0gb + +fast5 -> mkr: 75s, 9.1gb +fast5 -> blow5: 80s, 8.2gb + +### Finding read ids + +mkr: 2.2s, 123699 ids +slow5: 80s, 123999 ids diff --git a/benchmarks/build.sh b/benchmarks/build.sh new file mode 100755 index 0000000..3ee798f --- /dev/null +++ b/benchmarks/build.sh @@ -0,0 +1,7 @@ +#!/bin/bash + +script_dir=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd ) +cd ${script_dir} + +cd image/ +docker build -t mkr-benchmark-base -f Dockerfile.base . \ No newline at end of file diff --git a/benchmarks/convert/run.sh b/benchmarks/convert/run.sh new file mode 100755 index 0000000..6a74984 --- /dev/null +++ b/benchmarks/convert/run.sh @@ -0,0 +1,16 @@ +#!/bin/bash + +ls /input_path + +rm -r /benchmark/outputs || true + +mkdir -p /benchmark/outputs/fast5_files +cp -r /input_path/* /benchmark/outputs/fast5_files + +echo "Converting fast5 to mkr" +/benchmark-tools/time.py "mkr" -- mkr-convert-fast5 /input_path /benchmark/outputs/mkr_files + +echo "Converting fast5 to slow5" +/benchmark-tools/time.py "slow5" -- /benchmark-tools/fast5_to_single_blow5.sh /input_path /benchmark/outputs/slow5_files + +du -sh /benchmark/outputs/* \ No newline at end of file diff --git a/benchmarks/find_all_read_ids/run.sh b/benchmarks/find_all_read_ids/run.sh new file mode 100755 index 0000000..b665b87 --- /dev/null +++ b/benchmarks/find_all_read_ids/run.sh @@ -0,0 +1,27 @@ +#!/bin/bash + +ls /input_path + +rm -r /benchmark/outputs || true +# Ensure slow5 files are available in the output dir: +mkdir -p /benchmark/outputs/ +cp -r /input_path/mkr_files /benchmark/outputs/mkr_files +cp -r /input_path/slow5_files /benchmark/outputs/slow5_files +cp -r /input_path/fast5_files /benchmark/outputs/fast5_files + +echo "fast5" +/benchmark-tools/time.py "fast5" -- /benchmark-tools/find_and_get_fast5.py /input_path/fast5_files /benchmark/outputs/fast5_files + +echo "mkr c_api" +/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_c_api /benchmark/outputs/mkr_files_c_api --c-api + +echo "mkr pyarrow" +/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_pyarrow /benchmark/outputs/mkr_files_pyarrow + +echo "slow5" +/benchmark-tools/time.py "slow5" -- /benchmark-tools/find_and_get_slow5.py /input_path/slow5_files /benchmark/outputs/slow5_files + +echo "check" +/benchmark-tools/check_csvs_consistent.py /benchmark/outputs/fast5_files/read_ids.csv /benchmark/outputs/slow5_files/read_ids.csv +/benchmark-tools/check_csvs_consistent.py /benchmark/outputs/mkr_files_c_api/read_ids.csv /benchmark/outputs/slow5_files/read_ids.csv +/benchmark-tools/check_csvs_consistent.py /benchmark/outputs/mkr_files_pyarrow/read_ids.csv /benchmark/outputs/slow5_files/read_ids.csv \ No newline at end of file diff --git a/benchmarks/find_selected_read_ids_read_number/run.sh b/benchmarks/find_selected_read_ids_read_number/run.sh new file mode 100755 index 0000000..f649a22 --- /dev/null +++ b/benchmarks/find_selected_read_ids_read_number/run.sh @@ -0,0 +1,25 @@ +#!/bin/bash + +ls /input_path + +rm -r /benchmark/outputs || true + +echo "selecting read ids" +/benchmark-tools/select-random-ids.py /input_path/slow5_files/read_ids.csv /benchmark/outputs/read_ids.csv --select-ratio 0.1 + +echo "fast5" +/benchmark-tools/time.py "fast5" -- /benchmark-tools/find_and_get_fast5.py /input_path/fast5_files /benchmark/outputs/fast5_files --select-ids /benchmark/outputs/read_ids.csv --get-column read_number + +echo "mkr c_api" +/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files /benchmark/outputs/mkr_files_c_api --select-ids /benchmark/outputs/read_ids.csv --get-column read_number --c-api + +echo "mkr pyarrow" +/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files /benchmark/outputs/mkr_files_pyarrow --select-ids /benchmark/outputs/read_ids.csv --get-column read_number + +echo "slow5" +/benchmark-tools/time.py "slow5" -- /benchmark-tools/find_and_get_slow5.py /input_path/slow5_files /benchmark/outputs/slow5_files --select-ids /benchmark/outputs/read_ids.csv --get-column read_number + +echo "check" +/benchmark-tools/check_csvs_consistent.py /benchmark/outputs/fast5_files/read_ids.csv /benchmark/outputs/slow5_files/read_ids.csv +/benchmark-tools/check_csvs_consistent.py /benchmark/outputs/mkr_files_c_api/read_ids.csv /benchmark/outputs/slow5_files/read_ids.csv +/benchmark-tools/check_csvs_consistent.py /benchmark/outputs/mkr_files_pyarrow/read_ids.csv /benchmark/outputs/slow5_files/read_ids.csv \ No newline at end of file diff --git a/benchmarks/find_selected_read_ids_sample_count/run.sh b/benchmarks/find_selected_read_ids_sample_count/run.sh new file mode 100755 index 0000000..0d19513 --- /dev/null +++ b/benchmarks/find_selected_read_ids_sample_count/run.sh @@ -0,0 +1,25 @@ +#!/bin/bash + +ls /input_path + +rm -r /benchmark/outputs || true + +echo "selecting read ids" +/benchmark-tools/select-random-ids.py /input_path/slow5_files/read_ids.csv /benchmark/outputs/read_ids.csv --select-ratio 0.1 + +echo "fast5" +/benchmark-tools/time.py "fast5" -- /benchmark-tools/find_and_get_fast5.py /input_path/fast5_files /benchmark/outputs/fast5_files --select-ids /benchmark/outputs/read_ids.csv --get-column sample_count + +echo "mkr c_api" +/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files /benchmark/outputs/mkr_files_c_api --select-ids /benchmark/outputs/read_ids.csv --get-column sample_count --c-api + +echo "mkr pyarrow" +/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files /benchmark/outputs/mkr_files_pyarrow --select-ids /benchmark/outputs/read_ids.csv --get-column sample_count + +echo "slow5" +/benchmark-tools/time.py "slow5" -- /benchmark-tools/find_and_get_slow5.py /input_path/slow5_files /benchmark/outputs/slow5_files --select-ids /benchmark/outputs/read_ids.csv --get-column sample_count + +echo "check" +/benchmark-tools/check_csvs_consistent.py /benchmark/outputs/fast5_files/read_ids.csv /benchmark/outputs/slow5_files/read_ids.csv +/benchmark-tools/check_csvs_consistent.py /benchmark/outputs/mkr_files_c_api/read_ids.csv /benchmark/outputs/slow5_files/read_ids.csv +/benchmark-tools/check_csvs_consistent.py /benchmark/outputs/mkr_files_pyarrow/read_ids.csv /benchmark/outputs/slow5_files/read_ids.csv \ No newline at end of file diff --git a/benchmarks/image/Dockerfile.base b/benchmarks/image/Dockerfile.base new file mode 100644 index 0000000..d8a0616 --- /dev/null +++ b/benchmarks/image/Dockerfile.base @@ -0,0 +1,15 @@ +FROM ubuntu:20.04 + +RUN apt update && apt install -y wget python3 python3-pip + +RUN wget https://github.com/nanoporetech/vbz_compression/releases/download/v1.0.1/ont-vbz-hdf-plugin_1.0.1-1.focal_amd64.deb && apt install -y ./ont-vbz-hdf-plugin_1.0.1-1.focal_amd64.deb && rm ont-vbz-hdf-plugin_1.0.1-1.focal_amd64.deb + +ENV SLOW_5_VERSION=v0.4.0 +RUN wget "https://github.com/hasindu2008/slow5tools/releases/download/$SLOW_5_VERSION/slow5tools-$SLOW_5_VERSION-x86_64-linux-binaries.tar.gz" && tar xvf slow5tools-$SLOW_5_VERSION-x86_64-linux-binaries.tar.gz && rm slow5tools-$SLOW_5_VERSION-x86_64-linux-binaries.tar.gz +ENV PATH="/slow5tools-$SLOW_5_VERSION/:${PATH}" +RUN pip install pyslow5 + +COPY ./mkr_format*.whl / +RUN pip install *.whl && rm *.whl + +RUN pip install pandas \ No newline at end of file diff --git a/benchmarks/run_all_benchmarks.sh b/benchmarks/run_all_benchmarks.sh new file mode 100755 index 0000000..c3b9640 --- /dev/null +++ b/benchmarks/run_all_benchmarks.sh @@ -0,0 +1,12 @@ +#!/bin/bash + +input_dir=`readlink -f $1` + +script_dir=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd ) + +echo "Running benchmark on input '${input_dir}'" + +${script_dir}/run_benchmark.sh convert "${input_dir}" +${script_dir}/run_benchmark.sh find_all_read_ids "${script_dir}/convert/outputs" +${script_dir}/run_benchmark.sh find_selected_read_ids_read_number "${script_dir}/find_all_read_ids/outputs" +run_benchmark.${script_dir}/sh find_selected_read_ids_sample_count "${script_dir}/find_all_read_ids/outputs" \ No newline at end of file diff --git a/benchmarks/run_benchmark.sh b/benchmarks/run_benchmark.sh new file mode 100755 index 0000000..f3c0b5a --- /dev/null +++ b/benchmarks/run_benchmark.sh @@ -0,0 +1,14 @@ + +benchmark=$1 +source_files=$2 + +script_dir=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd ) + +echo "Running benchmark $1 with input files $2:" + +docker run --rm -it \ + -v"${script_dir}/tools":/benchmark-tools \ + -v"${source_files}":/input_path \ + -v"${script_dir}/${benchmark}":/benchmark \ + mkr-benchmark-base /benchmark/run.sh + diff --git a/benchmarks/tools/check_csvs_consistent.py b/benchmarks/tools/check_csvs_consistent.py new file mode 100755 index 0000000..2377905 --- /dev/null +++ b/benchmarks/tools/check_csvs_consistent.py @@ -0,0 +1,35 @@ +#!/usr/bin/python3 + +import argparse +import sys + +import pandas as pd +from pandas.testing import assert_frame_equal + + +def check_consistency(df1, df2): + df1 = df1.sort_values("read_id", ignore_index=True) + df2 = df2.sort_values("read_id", ignore_index=True) + + assert_frame_equal(df1, df2) + + print("Data frames are consistent") + sys.exit(0) + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument("input_a") + parser.add_argument("input_b") + + args = parser.parse_args() + + a = pd.read_csv(args.input_a) + b = pd.read_csv(args.input_b) + + print(f"Check consistency of files {args.input_a} and {args.input_b}") + check_consistency(a, b) + + +if __name__ == "__main__": + main() diff --git a/benchmarks/tools/fast5_to_single_blow5.sh b/benchmarks/tools/fast5_to_single_blow5.sh new file mode 100755 index 0000000..a421bc6 --- /dev/null +++ b/benchmarks/tools/fast5_to_single_blow5.sh @@ -0,0 +1,18 @@ +#!/bin/bash + +input_path=$1 +output_path=$2 + +temp_dir=/benchmark/outputs/slow5_files_tmp +mkdir -p $temp_dir +mkdir -p $output_path + +slow5tools f2s $input_path -d $temp_dir + +# Most comparable to have one file for both formats: +slow5tools merge $temp_dir -o $output_path/file.blow5 + +rm -r $temp_dir + +# Index will get generated on first test anyway, we should do it now to give best results later: +slow5tools index $output_path/file.blow5 diff --git a/benchmarks/tools/find_and_get_fast5.py b/benchmarks/tools/find_and_get_fast5.py new file mode 100755 index 0000000..e0aa82a --- /dev/null +++ b/benchmarks/tools/find_and_get_fast5.py @@ -0,0 +1,91 @@ +#!/usr/bin/python3 + +import argparse +import h5py +from pathlib import Path +from uuid import UUID + +import pandas as pd + +import mkr_format + + +def select_reads(file, selection): + if selection is not None: + for read in selection: + if read not in file: + continue + yield read, f"/read_{read_id}" + else: + for key in file.keys(): + if key.startswith("read_"): + yield key[5:], key + + +def run(input_dir, output, select_read_ids=None, get_columns=[]): + output.mkdir(parents=True, exist_ok=True) + + if select_read_ids is not None: + print(f"Selecting {len(select_read_ids)} specific read ids") + if get_columns is not None: + print(f"Selecting columns: {get_columns}") + + read_ids = [] + extracted_columns = {"read_id": read_ids} + print(f"Search for input files in {input_dir}") + for file in input_dir.glob("*.fast5"): + print(f"Searching for reads in {file}") + + file = h5py.File(file, "r") + + for read_id, read_path in select_reads(file, select_read_ids): + read_ids.append(read_id) + + for c in get_columns: + if not c in extracted_columns: + extracted_columns[c] = [] + col = extracted_columns[c] + + if c == "read_number": + col.append(file[f"{read_path}/Raw"].attrs) + elif c == "sample_count": + col.append(len(file[f"{read_path}/Raw"]["Signal"])) + + df = pd.DataFrame(extracted_columns) + print(f"Selected {len(read_ids)} items") + df.to_csv(output / "read_ids.csv", index=False) + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument("input", type=Path) + parser.add_argument("output", type=Path) + parser.add_argument( + "--select-ids", + type=str, + help="CSV file with a read_id column, listing ids to find in input files", + ) + parser.add_argument( + "--get-column", + default=[], + nargs="+", + type=str, + help="Add columns that should be extacted", + ) + + args = parser.parse_args() + + select_read_ids = None + if args.select_ids: + select_read_ids = pd.read_csv(args.select_ids)["read_id"] + + run( + args.input, + args.output, + select_read_ids=select_read_ids, + get_columns=args.get_column, + ) + + +if __name__ == "__main__": + main() diff --git a/benchmarks/tools/find_and_get_mkr.py b/benchmarks/tools/find_and_get_mkr.py new file mode 100755 index 0000000..7db2472 --- /dev/null +++ b/benchmarks/tools/find_and_get_mkr.py @@ -0,0 +1,85 @@ +#!/usr/bin/python3 + +import argparse +from pathlib import Path +from uuid import UUID + +import pandas as pd + +import mkr_format + + +def select_reads(file, selection): + if selection is not None: + return file.select_reads(UUID(s) for s in selection) + else: + return file.reads() + + +def run(input_dir, output, select_read_ids=None, get_columns=[], c_api=False): + output.mkdir(parents=True, exist_ok=True) + + if select_read_ids is not None: + print(f"Selecting {len(select_read_ids)} specific read ids") + if get_columns is not None: + print(f"Selecting columns: {get_columns}") + + read_ids = [] + extracted_columns = {"read_id": read_ids} + print(f"Search for input files in {input_dir}") + for file in input_dir.glob("*.mkr"): + print(f"Searching for read ids in {file}") + + file = mkr_format.open_combined_file(file, use_c_api=c_api) + + for read in select_reads(file, select_read_ids): + read_ids.append(read.read_id) + + for c in get_columns: + if not c in extracted_columns: + extracted_columns[c] = [] + col = extracted_columns[c] + col.append(getattr(read, c)) + + df = pd.DataFrame(extracted_columns) + print(f"Selected {len(read_ids)} items") + df.to_csv(output / "read_ids.csv", index=False) + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument("input", type=Path) + parser.add_argument("output", type=Path) + parser.add_argument( + "--select-ids", + type=str, + help="CSV file with a read_id column, listing ids to find in input files", + ) + parser.add_argument( + "--get-column", + default=[], + nargs="+", + type=str, + help="Add columns that should be extacted", + ) + parser.add_argument( + "--c-api", action="store_true", help="Use C API rather than PyArrow" + ) + + args = parser.parse_args() + + select_read_ids = None + if args.select_ids: + select_read_ids = pd.read_csv(args.select_ids)["read_id"] + + run( + args.input, + args.output, + select_read_ids=select_read_ids, + get_columns=args.get_column, + c_api=args.c_api, + ) + + +if __name__ == "__main__": + main() diff --git a/benchmarks/tools/find_and_get_slow5.py b/benchmarks/tools/find_and_get_slow5.py new file mode 100755 index 0000000..29f95b4 --- /dev/null +++ b/benchmarks/tools/find_and_get_slow5.py @@ -0,0 +1,84 @@ +#!/usr/bin/python3 + +import argparse +from pathlib import Path + +import pandas as pd + +import pyslow5 + + +def run(input_dir, output, select_read_ids=None, get_columns=[]): + output.mkdir(parents=True, exist_ok=True) + + if select_read_ids is not None: + print(f"Selecting {len(select_read_ids)} specific read ids") + if get_columns is not None: + print(f"Selecting columns: {get_columns}") + + not_aux_columns = ["sample_count"] + aux_columns = list(filter(lambda x: x not in not_aux_columns, get_columns)) + + read_ids = [] + extracted_columns = {"read_id": read_ids} + print(f"Search for input files in {input_dir}") + for file in input_dir.glob("*.blow5"): + print(f"Searching for read ids in {file}") + + file = pyslow5.Open(str(file), "r") + + if select_read_ids is not None: + iterable = file.get_read_list(select_read_ids, aux=aux_columns) + else: + iterable = file.seq_reads(pA=False, aux=aux_columns) + + for read in iterable: + read_ids.append(read["read_id"]) + + for c in get_columns: + if not c in extracted_columns: + extracted_columns[c] = [] + col = extracted_columns[c] + if c == "sample_count": + col.append(len(read["signal"])) + else: + col.append(read[c]) + + df = pd.DataFrame(extracted_columns) + print(f"Selected {len(read_ids)} items") + df.to_csv(output / "read_ids.csv", index=False) + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument("input", type=Path) + parser.add_argument("output", type=Path) + parser.add_argument( + "--select-ids", + type=str, + help="CSV file with a read_id column, listing ids to find in input files", + ) + parser.add_argument( + "--get-column", + default=[], + nargs="+", + type=str, + help="Add columns that should be extacted", + ) + + args = parser.parse_args() + + select_read_ids = None + if args.select_ids: + select_read_ids = pd.read_csv(args.select_ids)["read_id"] + + run( + args.input, + args.output, + select_read_ids=select_read_ids, + get_columns=args.get_column, + ) + + +if __name__ == "__main__": + main() diff --git a/benchmarks/tools/select-random-ids.py b/benchmarks/tools/select-random-ids.py new file mode 100755 index 0000000..0bb0c32 --- /dev/null +++ b/benchmarks/tools/select-random-ids.py @@ -0,0 +1,26 @@ +#!/usr/bin/python3 + +import argparse +from pathlib import Path + +import pandas as pd + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument("input_csv", type=Path) + parser.add_argument("output_csv", type=Path) + parser.add_argument("--select-ratio", type=float) + + args = parser.parse_args() + + df = pd.read_csv(args.input_csv) + + selected_rows_df = df.sample(frac=args.select_ratio) + + args.output_csv.parent.mkdir(parents=True, exist_ok=True) + selected_rows_df.to_csv(args.output_csv) + + +if __name__ == "__main__": + main() diff --git a/benchmarks/tools/time.py b/benchmarks/tools/time.py new file mode 100755 index 0000000..51c34c0 --- /dev/null +++ b/benchmarks/tools/time.py @@ -0,0 +1,34 @@ +#!/usr/bin/python3 + +import argparse +import json +from pathlib import Path +import subprocess +import sys +import time + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("name") + parser.add_argument("--output-dir", type=Path, default="/benchmark/outputs/") + + time_args = [] + remaining = [] + for i, a in enumerate(sys.argv): + if a == "--": + time_args = sys.argv[:i] + remaining = sys.argv[i + 1 :] + + print(f"Timing command: {' '.join(remaining)}") + + args = parser.parse_args(time_args[1:]) + + t_start = time.time() + p = subprocess.run(remaining, check=True) + t_end = time.time() + + duration = t_end - t_start + print(f"command took {duration:.1f} secs") + + with open(args.output_dir / f"{args.name}_results.json", "w") as f: + f.write(json.dumps({"duration_secs": duration}, indent=2)) From 6b0c9f756fb852566d7564dffffde2d04a6a8ae8 Mon Sep 17 00:00:00 2001 From: George Pimm Date: Tue, 3 May 2022 13:24:19 +0100 Subject: [PATCH 05/28] add new dependency --- python/pyproject.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/python/pyproject.toml b/python/pyproject.toml index 5dbf282..7eb9048 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -16,6 +16,7 @@ dependencies = [ "more_itertools", "numpy", "pyarrow", + "pytz", ] [project.optional-dependencies] From 53339a165778def33702166cc0f8830ba15fff24 Mon Sep 17 00:00:00 2001 From: George Pimm Date: Tue, 3 May 2022 14:03:10 +0100 Subject: [PATCH 06/28] fix benchmarking --- benchmarks/find_all_read_ids/run.sh | 4 ++-- benchmarks/tools/find_and_get_fast5.py | 7 ++++--- 2 files changed, 6 insertions(+), 5 deletions(-) diff --git a/benchmarks/find_all_read_ids/run.sh b/benchmarks/find_all_read_ids/run.sh index b665b87..d18b98c 100755 --- a/benchmarks/find_all_read_ids/run.sh +++ b/benchmarks/find_all_read_ids/run.sh @@ -13,10 +13,10 @@ echo "fast5" /benchmark-tools/time.py "fast5" -- /benchmark-tools/find_and_get_fast5.py /input_path/fast5_files /benchmark/outputs/fast5_files echo "mkr c_api" -/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_c_api /benchmark/outputs/mkr_files_c_api --c-api +/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files /benchmark/outputs/mkr_files_c_api --c-api echo "mkr pyarrow" -/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_pyarrow /benchmark/outputs/mkr_files_pyarrow +/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files /benchmark/outputs/mkr_files_pyarrow echo "slow5" /benchmark-tools/time.py "slow5" -- /benchmark-tools/find_and_get_slow5.py /input_path/slow5_files /benchmark/outputs/slow5_files diff --git a/benchmarks/tools/find_and_get_fast5.py b/benchmarks/tools/find_and_get_fast5.py index e0aa82a..1e9085a 100755 --- a/benchmarks/tools/find_and_get_fast5.py +++ b/benchmarks/tools/find_and_get_fast5.py @@ -13,9 +13,10 @@ def select_reads(file, selection): if selection is not None: for read in selection: - if read not in file: + path = f"/read_{read}" + if path not in file: continue - yield read, f"/read_{read_id}" + yield read, path else: for key in file.keys(): if key.startswith("read_"): @@ -47,7 +48,7 @@ def run(input_dir, output, select_read_ids=None, get_columns=[]): col = extracted_columns[c] if c == "read_number": - col.append(file[f"{read_path}/Raw"].attrs) + col.append(file[f"{read_path}/Raw"].attrs["read_number"]) elif c == "sample_count": col.append(len(file[f"{read_path}/Raw"]["Signal"])) From e00c0a13686ffa4fcf5ab3ed572ad8ef825e6cef Mon Sep 17 00:00:00 2001 From: George Pimm Date: Tue, 3 May 2022 14:25:36 +0100 Subject: [PATCH 07/28] fix benchmark running --- benchmarks/README.md | 12 ++---------- benchmarks/find_all_read_ids/run.sh | 12 ++++++++---- benchmarks/find_selected_read_ids_read_number/run.sh | 4 ++-- .../find_selected_read_ids_sample_count/run.sh | 4 ++-- benchmarks/run_all_benchmarks.sh | 2 +- 5 files changed, 15 insertions(+), 19 deletions(-) diff --git a/benchmarks/README.md b/benchmarks/README.md index df179ac..3260522 100644 --- a/benchmarks/README.md +++ b/benchmarks/README.md @@ -24,14 +24,6 @@ To run a benchmark, use the helper script to start the docker image: Benchmarking Result ------------------- -### Converting fast5 +On dataset a PCR Zymo dataset PAM50264, on 10.4.1 e8.2 data (`pcr_zymo/20220419_1706_2E_PAM50264_3c6f33f1`): -fast5 dataset size: 11.0gb - -fast5 -> mkr: 75s, 9.1gb -fast5 -> blow5: 80s, 8.2gb - -### Finding read ids - -mkr: 2.2s, 123699 ids -slow5: 80s, 123999 ids +### Converting fast5 \ No newline at end of file diff --git a/benchmarks/find_all_read_ids/run.sh b/benchmarks/find_all_read_ids/run.sh index d18b98c..397fc44 100755 --- a/benchmarks/find_all_read_ids/run.sh +++ b/benchmarks/find_all_read_ids/run.sh @@ -5,21 +5,25 @@ ls /input_path rm -r /benchmark/outputs || true # Ensure slow5 files are available in the output dir: mkdir -p /benchmark/outputs/ -cp -r /input_path/mkr_files /benchmark/outputs/mkr_files +cp -r /input_path/mkr_files /benchmark/outputs/mkr_files_c_api +cp -r /input_path/mkr_files /benchmark/outputs/mkr_files_pyarrow cp -r /input_path/slow5_files /benchmark/outputs/slow5_files cp -r /input_path/fast5_files /benchmark/outputs/fast5_files +# Re index after we copied stuff around +slow5tools index /benchmark/outputs/slow5_files/*.blow5 + echo "fast5" /benchmark-tools/time.py "fast5" -- /benchmark-tools/find_and_get_fast5.py /input_path/fast5_files /benchmark/outputs/fast5_files echo "mkr c_api" -/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files /benchmark/outputs/mkr_files_c_api --c-api +/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /benchmark/outputs//mkr_files_c_api /benchmark/outputs/mkr_files_c_api --c-api echo "mkr pyarrow" -/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files /benchmark/outputs/mkr_files_pyarrow +/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /benchmark/outputs//mkr_files_pyarrow /benchmark/outputs/mkr_files_pyarrow echo "slow5" -/benchmark-tools/time.py "slow5" -- /benchmark-tools/find_and_get_slow5.py /input_path/slow5_files /benchmark/outputs/slow5_files +/benchmark-tools/time.py "slow5" -- /benchmark-tools/find_and_get_slow5.py /benchmark/outputs/slow5_files /benchmark/outputs/slow5_files echo "check" /benchmark-tools/check_csvs_consistent.py /benchmark/outputs/fast5_files/read_ids.csv /benchmark/outputs/slow5_files/read_ids.csv diff --git a/benchmarks/find_selected_read_ids_read_number/run.sh b/benchmarks/find_selected_read_ids_read_number/run.sh index f649a22..d6da77f 100755 --- a/benchmarks/find_selected_read_ids_read_number/run.sh +++ b/benchmarks/find_selected_read_ids_read_number/run.sh @@ -11,10 +11,10 @@ echo "fast5" /benchmark-tools/time.py "fast5" -- /benchmark-tools/find_and_get_fast5.py /input_path/fast5_files /benchmark/outputs/fast5_files --select-ids /benchmark/outputs/read_ids.csv --get-column read_number echo "mkr c_api" -/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files /benchmark/outputs/mkr_files_c_api --select-ids /benchmark/outputs/read_ids.csv --get-column read_number --c-api +/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_c_api /benchmark/outputs/mkr_files_c_api --select-ids /benchmark/outputs/read_ids.csv --get-column read_number --c-api echo "mkr pyarrow" -/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files /benchmark/outputs/mkr_files_pyarrow --select-ids /benchmark/outputs/read_ids.csv --get-column read_number +/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_pyarrow /benchmark/outputs/mkr_files_pyarrow --select-ids /benchmark/outputs/read_ids.csv --get-column read_number echo "slow5" /benchmark-tools/time.py "slow5" -- /benchmark-tools/find_and_get_slow5.py /input_path/slow5_files /benchmark/outputs/slow5_files --select-ids /benchmark/outputs/read_ids.csv --get-column read_number diff --git a/benchmarks/find_selected_read_ids_sample_count/run.sh b/benchmarks/find_selected_read_ids_sample_count/run.sh index 0d19513..a94faac 100755 --- a/benchmarks/find_selected_read_ids_sample_count/run.sh +++ b/benchmarks/find_selected_read_ids_sample_count/run.sh @@ -11,10 +11,10 @@ echo "fast5" /benchmark-tools/time.py "fast5" -- /benchmark-tools/find_and_get_fast5.py /input_path/fast5_files /benchmark/outputs/fast5_files --select-ids /benchmark/outputs/read_ids.csv --get-column sample_count echo "mkr c_api" -/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files /benchmark/outputs/mkr_files_c_api --select-ids /benchmark/outputs/read_ids.csv --get-column sample_count --c-api +/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_c_api /benchmark/outputs/mkr_files_c_api --select-ids /benchmark/outputs/read_ids.csv --get-column sample_count --c-api echo "mkr pyarrow" -/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files /benchmark/outputs/mkr_files_pyarrow --select-ids /benchmark/outputs/read_ids.csv --get-column sample_count +/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_pyarrow /benchmark/outputs/mkr_files_pyarrow --select-ids /benchmark/outputs/read_ids.csv --get-column sample_count echo "slow5" /benchmark-tools/time.py "slow5" -- /benchmark-tools/find_and_get_slow5.py /input_path/slow5_files /benchmark/outputs/slow5_files --select-ids /benchmark/outputs/read_ids.csv --get-column sample_count diff --git a/benchmarks/run_all_benchmarks.sh b/benchmarks/run_all_benchmarks.sh index c3b9640..8f8cab8 100755 --- a/benchmarks/run_all_benchmarks.sh +++ b/benchmarks/run_all_benchmarks.sh @@ -9,4 +9,4 @@ echo "Running benchmark on input '${input_dir}'" ${script_dir}/run_benchmark.sh convert "${input_dir}" ${script_dir}/run_benchmark.sh find_all_read_ids "${script_dir}/convert/outputs" ${script_dir}/run_benchmark.sh find_selected_read_ids_read_number "${script_dir}/find_all_read_ids/outputs" -run_benchmark.${script_dir}/sh find_selected_read_ids_sample_count "${script_dir}/find_all_read_ids/outputs" \ No newline at end of file +${script_dir}/run_benchmark.sh find_selected_read_ids_sample_count "${script_dir}/find_all_read_ids/outputs" \ No newline at end of file From 517e5fd8399ca3ef30fdf427dad664d1c90a5e7f Mon Sep 17 00:00:00 2001 From: George Pimm Date: Tue, 3 May 2022 16:11:35 +0100 Subject: [PATCH 08/28] fix up benchmark output names --- benchmarks/find_selected_read_ids_read_number/run.sh | 4 ++-- benchmarks/find_selected_read_ids_sample_count/run.sh | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/benchmarks/find_selected_read_ids_read_number/run.sh b/benchmarks/find_selected_read_ids_read_number/run.sh index d6da77f..1882528 100755 --- a/benchmarks/find_selected_read_ids_read_number/run.sh +++ b/benchmarks/find_selected_read_ids_read_number/run.sh @@ -11,10 +11,10 @@ echo "fast5" /benchmark-tools/time.py "fast5" -- /benchmark-tools/find_and_get_fast5.py /input_path/fast5_files /benchmark/outputs/fast5_files --select-ids /benchmark/outputs/read_ids.csv --get-column read_number echo "mkr c_api" -/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_c_api /benchmark/outputs/mkr_files_c_api --select-ids /benchmark/outputs/read_ids.csv --get-column read_number --c-api +/benchmark-tools/time.py "mkr_c_api" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_c_api /benchmark/outputs/mkr_files_c_api --select-ids /benchmark/outputs/read_ids.csv --get-column read_number --c-api echo "mkr pyarrow" -/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_pyarrow /benchmark/outputs/mkr_files_pyarrow --select-ids /benchmark/outputs/read_ids.csv --get-column read_number +/benchmark-tools/time.py "mkr_pyarrow" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_pyarrow /benchmark/outputs/mkr_files_pyarrow --select-ids /benchmark/outputs/read_ids.csv --get-column read_number echo "slow5" /benchmark-tools/time.py "slow5" -- /benchmark-tools/find_and_get_slow5.py /input_path/slow5_files /benchmark/outputs/slow5_files --select-ids /benchmark/outputs/read_ids.csv --get-column read_number diff --git a/benchmarks/find_selected_read_ids_sample_count/run.sh b/benchmarks/find_selected_read_ids_sample_count/run.sh index a94faac..8054e01 100755 --- a/benchmarks/find_selected_read_ids_sample_count/run.sh +++ b/benchmarks/find_selected_read_ids_sample_count/run.sh @@ -11,10 +11,10 @@ echo "fast5" /benchmark-tools/time.py "fast5" -- /benchmark-tools/find_and_get_fast5.py /input_path/fast5_files /benchmark/outputs/fast5_files --select-ids /benchmark/outputs/read_ids.csv --get-column sample_count echo "mkr c_api" -/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_c_api /benchmark/outputs/mkr_files_c_api --select-ids /benchmark/outputs/read_ids.csv --get-column sample_count --c-api +/benchmark-tools/time.py "mkr_c_api" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_c_api /benchmark/outputs/mkr_files_c_api --select-ids /benchmark/outputs/read_ids.csv --get-column sample_count --c-api echo "mkr pyarrow" -/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_pyarrow /benchmark/outputs/mkr_files_pyarrow --select-ids /benchmark/outputs/read_ids.csv --get-column sample_count +/benchmark-tools/time.py "mkr_pyarrow" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_pyarrow /benchmark/outputs/mkr_files_pyarrow --select-ids /benchmark/outputs/read_ids.csv --get-column sample_count echo "slow5" /benchmark-tools/time.py "slow5" -- /benchmark-tools/find_and_get_slow5.py /input_path/slow5_files /benchmark/outputs/slow5_files --select-ids /benchmark/outputs/read_ids.csv --get-column sample_count From 72d9f24d6a058f37dcf303141819b53c2a66245a Mon Sep 17 00:00:00 2001 From: George Pimm Date: Tue, 3 May 2022 16:40:13 +0100 Subject: [PATCH 09/28] fix build --- c++/mkr_format/file_writer.cpp | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/c++/mkr_format/file_writer.cpp b/c++/mkr_format/file_writer.cpp index 9d5abdb..7fa11ed 100644 --- a/c++/mkr_format/file_writer.cpp +++ b/c++/mkr_format/file_writer.cpp @@ -205,16 +205,18 @@ class CombinedFileWriterImpl : public FileWriterImpl { ARROW_ASSIGN_OR_RAISE( auto reads_table_file_in, arrow::io::ReadableFile::Open(m_reads_tmp_path.string(), pool())); - std::int64_t read_bytes = 0; + ARROW_ASSIGN_OR_RAISE(auto file_size, reads_table_file_in->GetSize()); + std::int64_t copied_bytes = 0; std::int64_t target_chunk_size = 10 * 1024 * 1024; // Read in 10MB of data at a time std::vector read_data(target_chunk_size); - do { + while (copied_bytes < file_size) { ARROW_ASSIGN_OR_RAISE( auto const read_bytes, reads_table_file_in->Read(target_chunk_size, read_data.data())); + copied_bytes += read_bytes; ARROW_RETURN_NOT_OK(file->Write(read_data.data(), read_bytes)); - } while (read_bytes == target_chunk_size); + } // Store the reads file length for later reading: ARROW_ASSIGN_OR_RAISE(read_info_table.file_length, file->Tell()); From ae7ef089e615007e0715a624a5d72c449432aca8 Mon Sep 17 00:00:00 2001 From: George Pimm Date: Tue, 3 May 2022 18:29:49 +0100 Subject: [PATCH 10/28] fix tests --- .gitlab-ci.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index e08e652..413cd8f 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -117,6 +117,7 @@ pytest: script: - pip install ./wheels/* - cd python + - pip install -e .[test] - pytest wheel-test: @@ -128,5 +129,5 @@ wheel-test: - wheel-build script: - pip install ./wheels/* - - mkr-convert-fast5 ./test_files/ ./output_files --output-one-to-one + - mkr-convert-fast5 ./test_data/ ./output_files --output-one-to-one - python3 pyton/tests/ \ No newline at end of file From 614fba0c4cabaf49ff09f073d331e7aabbb79558 Mon Sep 17 00:00:00 2001 From: George Pimm Date: Tue, 3 May 2022 18:30:54 +0100 Subject: [PATCH 11/28] dont hang if files contain errors --- python/mkr_format/tools/mkr_convert_fast5.py | 1 - 1 file changed, 1 deletion(-) diff --git a/python/mkr_format/tools/mkr_convert_fast5.py b/python/mkr_format/tools/mkr_convert_fast5.py index 30e323e..6f85e14 100644 --- a/python/mkr_format/tools/mkr_convert_fast5.py +++ b/python/mkr_format/tools/mkr_convert_fast5.py @@ -211,7 +211,6 @@ def get_reads_from_files(in_q, out_q, fast5_files, pre_compress_signal): out_q.put(ReadList(fast5_file, reads)) except Exception as exc: print(f"Error in file {fast5_file}: {exc}", file=sys.stderr) - raise out_q.put(EndFile(fast5_file, file_read_sent_count)) From 9eedd9bf93f7d05aadf0832b60a22ac3272e63fb Mon Sep 17 00:00:00 2001 From: George Pimm Date: Tue, 3 May 2022 18:34:59 +0100 Subject: [PATCH 12/28] tidy up ci script --- .gitlab-ci.yml | 31 +++++++++++++++++++++++++++++-- cmake/MKRVersion.cmake | 3 ++- 2 files changed, 31 insertions(+), 3 deletions(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 413cd8f..ef11643 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -3,10 +3,25 @@ stages: - build - build-python - test-python + - deploy variables: CONAN_CONFIG_URL: https://artifactory.oxfordnanolabs.local/artifactory/ONT-Conan/configs/config-v24.zip +tag_version_check: + stage: pre-flight + only: + - tags + image: ${PYTHON_IMAGE} + script: + - mkr_version="$(cmake -P ci/get_tag_version.cmake 2>&1)" + - tag_version="${CI_COMMIT_TAG/#v/}" + - if [[ "${mkr_version}" != "${tag_version}" ]]; then + echo "Tag is for release ${tag_version}, but MKR version is $mkr_version"; + exit 1; + fi + + pre-commit checks: image: python:3.9 stage: pre-flight @@ -33,7 +48,8 @@ pre-commit checks: - ctest -C Release -VV - cmake -DCMAKE_INSTALL_PREFIX="archive" -DBUILD_TYPE="Release" -P "cmake_install.cmake" - cd ./archive - - tar -czf ../mkr-file-format-${OUTPUT_SKU}.tar.gz . + - mkr_version="$(cmake -P ci/get_tag_version.cmake 2>&1)" + - tar -czf ../mkr-file-format-{mkr_version}-${OUTPUT_SKU}.tar.gz . artifacts: paths: - build/mkr-file-format*.tar.gz @@ -130,4 +146,15 @@ wheel-test: script: - pip install ./wheels/* - mkr-convert-fast5 ./test_data/ ./output_files --output-one-to-one - - python3 pyton/tests/ \ No newline at end of file + - python3 pyton/tests/ + +package_upload: + stage: deploy + image: ${UPLOAD_PYTHON_IMAGE} + needs: + - wheel-build + script: + - ls -lh wheels + - pip install twine + - twine upload wheels/* + only: ["tags"] diff --git a/cmake/MKRVersion.cmake b/cmake/MKRVersion.cmake index 6c18f85..97ff0f2 100644 --- a/cmake/MKRVersion.cmake +++ b/cmake/MKRVersion.cmake @@ -2,4 +2,5 @@ set(MKR_VERSION_MAJOR 0) set(MKR_VERSION_MINOR 0) set(MKR_VERSION_REV 1) -set(MKR_NUMERIC_VERSION "${MKR_VERSION_MAJOR}.${MKR_VERSION_MINOR}.${MKR_VERSION_REV}") \ No newline at end of file +set(MKR_NUMERIC_VERSION "${MKR_VERSION_MAJOR}.${MKR_VERSION_MINOR}.${MKR_VERSION_REV}") +set(MKR_FULL_VERSION "${MinKNOW_NUMERIC_VERSION}") \ No newline at end of file From 0d6120bd81eecad23b2ef9e0b4ca2e0f65270218 Mon Sep 17 00:00:00 2001 From: George Pimm Date: Tue, 3 May 2022 19:23:27 +0100 Subject: [PATCH 13/28] fix python folder name --- .gitlab-ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index ef11643..cb26201 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -146,7 +146,7 @@ wheel-test: script: - pip install ./wheels/* - mkr-convert-fast5 ./test_data/ ./output_files --output-one-to-one - - python3 pyton/tests/ + - python3 python/tests/ package_upload: stage: deploy From f00efa62828a8d34f068f94e4a29c2cb2132cbf7 Mon Sep 17 00:00:00 2001 From: George Pimm Date: Tue, 3 May 2022 19:38:46 +0100 Subject: [PATCH 14/28] fix python tests --- .gitlab-ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index cb26201..7ee3709 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -133,7 +133,7 @@ pytest: script: - pip install ./wheels/* - cd python - - pip install -e .[test] + - pip install pytest pytest-cov - pytest wheel-test: From 13c6f529d0c95ce8c7ae66ef48f6f7ba4ade4e4d Mon Sep 17 00:00:00 2001 From: George Pimm Date: Tue, 3 May 2022 19:41:28 +0100 Subject: [PATCH 15/28] add missing script --- .gitlab-ci.yml | 2 +- ci/get_tag_version.cmake | 3 +++ 2 files changed, 4 insertions(+), 1 deletion(-) create mode 100644 ci/get_tag_version.cmake diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 7ee3709..eb12c48 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -40,6 +40,7 @@ pre-commit checks: .build: stage: build script: + - mkr_version="$(cmake -P ci/get_tag_version.cmake 2>&1)" - mkdir build - cd build - conan install --profile ${CONAN_PROFILE} .. @@ -48,7 +49,6 @@ pre-commit checks: - ctest -C Release -VV - cmake -DCMAKE_INSTALL_PREFIX="archive" -DBUILD_TYPE="Release" -P "cmake_install.cmake" - cd ./archive - - mkr_version="$(cmake -P ci/get_tag_version.cmake 2>&1)" - tar -czf ../mkr-file-format-{mkr_version}-${OUTPUT_SKU}.tar.gz . artifacts: paths: diff --git a/ci/get_tag_version.cmake b/ci/get_tag_version.cmake new file mode 100644 index 0000000..b73e11c --- /dev/null +++ b/ci/get_tag_version.cmake @@ -0,0 +1,3 @@ +set(CANONICAL_TAG_BUILD TRUE) +include("${CMAKE_CURRENT_LIST_DIR}/../cmake/MKRVersion.cmake") +message("${MKR_NUMERIC_VERSION}") From 2dde5624bf0365acb2aab9fb1ce1912f04811a6e Mon Sep 17 00:00:00 2001 From: George Pimm Date: Wed, 4 May 2022 08:17:21 +0100 Subject: [PATCH 16/28] fix build --- .../find_selected_read_ids_samples/run.sh | 25 ++++++++++++++++++ benchmarks/image/Dockerfile.base | 2 +- benchmarks/run_all_benchmarks.sh | 3 ++- benchmarks/tools/find_and_get_fast5.py | 3 +++ benchmarks/tools/find_and_get_mkr.py | 6 ++++- benchmarks/tools/find_and_get_slow5.py | 9 ++++--- ci/unpack_libs_for_python.sh | 2 +- test_data/multi_fast5_zip.mkr | Bin 0 -> 1319624 bytes 8 files changed, 43 insertions(+), 7 deletions(-) create mode 100755 benchmarks/find_selected_read_ids_samples/run.sh create mode 100644 test_data/multi_fast5_zip.mkr diff --git a/benchmarks/find_selected_read_ids_samples/run.sh b/benchmarks/find_selected_read_ids_samples/run.sh new file mode 100755 index 0000000..191d010 --- /dev/null +++ b/benchmarks/find_selected_read_ids_samples/run.sh @@ -0,0 +1,25 @@ +#!/bin/bash + +ls /input_path + +rm -r /benchmark/outputs || true + +echo "selecting read ids" +/benchmark-tools/select-random-ids.py /input_path/slow5_files/read_ids.csv /benchmark/outputs/read_ids.csv --select-ratio 0.1 + +echo "fast5" +/benchmark-tools/time.py "fast5" -- /benchmark-tools/find_and_get_fast5.py /input_path/fast5_files /benchmark/outputs/fast5_files --select-ids /benchmark/outputs/read_ids.csv --get-column samples + +echo "mkr c_api" +/benchmark-tools/time.py "mkr_c_api" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_c_api /benchmark/outputs/mkr_files_c_api --select-ids /benchmark/outputs/read_ids.csv --get-column samples --c-api + +echo "mkr pyarrow" +/benchmark-tools/time.py "mkr_pyarrow" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_pyarrow /benchmark/outputs/mkr_files_pyarrow --select-ids /benchmark/outputs/read_ids.csv --get-column samples + +echo "slow5" +/benchmark-tools/time.py "slow5" -- /benchmark-tools/find_and_get_slow5.py /input_path/slow5_files /benchmark/outputs/slow5_files --select-ids /benchmark/outputs/read_ids.csv --get-column samples + +echo "check" +/benchmark-tools/check_csvs_consistent.py /benchmark/outputs/fast5_files/read_ids.csv /benchmark/outputs/slow5_files/read_ids.csv +/benchmark-tools/check_csvs_consistent.py /benchmark/outputs/mkr_files_c_api/read_ids.csv /benchmark/outputs/slow5_files/read_ids.csv +/benchmark-tools/check_csvs_consistent.py /benchmark/outputs/mkr_files_pyarrow/read_ids.csv /benchmark/outputs/slow5_files/read_ids.csv \ No newline at end of file diff --git a/benchmarks/image/Dockerfile.base b/benchmarks/image/Dockerfile.base index d8a0616..2afa7f0 100644 --- a/benchmarks/image/Dockerfile.base +++ b/benchmarks/image/Dockerfile.base @@ -12,4 +12,4 @@ RUN pip install pyslow5 COPY ./mkr_format*.whl / RUN pip install *.whl && rm *.whl -RUN pip install pandas \ No newline at end of file +RUN pip install pandas h5py \ No newline at end of file diff --git a/benchmarks/run_all_benchmarks.sh b/benchmarks/run_all_benchmarks.sh index 8f8cab8..f9696f1 100755 --- a/benchmarks/run_all_benchmarks.sh +++ b/benchmarks/run_all_benchmarks.sh @@ -9,4 +9,5 @@ echo "Running benchmark on input '${input_dir}'" ${script_dir}/run_benchmark.sh convert "${input_dir}" ${script_dir}/run_benchmark.sh find_all_read_ids "${script_dir}/convert/outputs" ${script_dir}/run_benchmark.sh find_selected_read_ids_read_number "${script_dir}/find_all_read_ids/outputs" -${script_dir}/run_benchmark.sh find_selected_read_ids_sample_count "${script_dir}/find_all_read_ids/outputs" \ No newline at end of file +${script_dir}/run_benchmark.sh find_selected_read_ids_sample_count "${script_dir}/find_all_read_ids/outputs" +${script_dir}/run_benchmark.sh find_selected_read_ids_samples "${script_dir}/find_all_read_ids/outputs" \ No newline at end of file diff --git a/benchmarks/tools/find_and_get_fast5.py b/benchmarks/tools/find_and_get_fast5.py index 1e9085a..6ae021b 100755 --- a/benchmarks/tools/find_and_get_fast5.py +++ b/benchmarks/tools/find_and_get_fast5.py @@ -5,6 +5,7 @@ from pathlib import Path from uuid import UUID +import numpy import pandas as pd import mkr_format @@ -51,6 +52,8 @@ def run(input_dir, output, select_read_ids=None, get_columns=[]): col.append(file[f"{read_path}/Raw"].attrs["read_number"]) elif c == "sample_count": col.append(len(file[f"{read_path}/Raw"]["Signal"])) + elif c == "samples": + col.append(numpy.sum(file[f"{read_path}/Raw"]["Signal"])) df = pd.DataFrame(extracted_columns) print(f"Selected {len(read_ids)} items") diff --git a/benchmarks/tools/find_and_get_mkr.py b/benchmarks/tools/find_and_get_mkr.py index 7db2472..723f5ca 100755 --- a/benchmarks/tools/find_and_get_mkr.py +++ b/benchmarks/tools/find_and_get_mkr.py @@ -4,6 +4,7 @@ from pathlib import Path from uuid import UUID +import numpy import pandas as pd import mkr_format @@ -39,7 +40,10 @@ def run(input_dir, output, select_read_ids=None, get_columns=[], c_api=False): if not c in extracted_columns: extracted_columns[c] = [] col = extracted_columns[c] - col.append(getattr(read, c)) + if c == "samples": + col.append(numpy.sum(read.signal)) + else: + col.append(getattr(read, c)) df = pd.DataFrame(extracted_columns) print(f"Selected {len(read_ids)} items") diff --git a/benchmarks/tools/find_and_get_slow5.py b/benchmarks/tools/find_and_get_slow5.py index 29f95b4..c634546 100755 --- a/benchmarks/tools/find_and_get_slow5.py +++ b/benchmarks/tools/find_and_get_slow5.py @@ -3,6 +3,7 @@ import argparse from pathlib import Path +import numpy import pandas as pd import pyslow5 @@ -16,7 +17,7 @@ def run(input_dir, output, select_read_ids=None, get_columns=[]): if get_columns is not None: print(f"Selecting columns: {get_columns}") - not_aux_columns = ["sample_count"] + not_aux_columns = ["sample_count", "samples"] aux_columns = list(filter(lambda x: x not in not_aux_columns, get_columns)) read_ids = [] @@ -28,7 +29,7 @@ def run(input_dir, output, select_read_ids=None, get_columns=[]): file = pyslow5.Open(str(file), "r") if select_read_ids is not None: - iterable = file.get_read_list(select_read_ids, aux=aux_columns) + iterable = file.get_read_list(select_read_ids, pA=False, aux=aux_columns) else: iterable = file.seq_reads(pA=False, aux=aux_columns) @@ -40,7 +41,9 @@ def run(input_dir, output, select_read_ids=None, get_columns=[]): extracted_columns[c] = [] col = extracted_columns[c] if c == "sample_count": - col.append(len(read["signal"])) + col.append(read["len_raw_signal"]) + elif c == "samples": + col.append(numpy.sum(read["signal"])) else: col.append(read[c]) diff --git a/ci/unpack_libs_for_python.sh b/ci/unpack_libs_for_python.sh index 3434489..3f443c3 100755 --- a/ci/unpack_libs_for_python.sh +++ b/ci/unpack_libs_for_python.sh @@ -5,7 +5,7 @@ output_dir=$2 echo "Unpacking builds from $input_dir to $output_dir" -file_regex=".*/mkr-file-format-(.*).tar.gz" +file_regex=".*/mkr-file-format-.*-(.*).tar.gz" for i in ${input_dir}/mkr-file-format*.tar.gz; do if [[ $i =~ $file_regex ]] diff --git a/test_data/multi_fast5_zip.mkr b/test_data/multi_fast5_zip.mkr new file mode 100644 index 0000000000000000000000000000000000000000..538223c849e3b10c3d1393f5429bcef28d85d1ea GIT binary patch literal 1319624 zcma&Nbx_<*(>A)e6EwKHySux)`y#;|g1Zyk-3jgx+#MG8;4VRf1UTfrpXWVqeO0H< 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z|9wz6Si(oZ1AQFM4lMCsz7N8EWS)7${fRgL`u_iC-v<%d_(jCZUITr1;638=@i46Xt)gLGYxnSWtsh&e0g6=q)W zviPM~kbuGb^IgW=?>YYYF5{o?GXD84_q?hE`zzLV(eA_`7YzH-%g|7F2OAK47krjd27u2c@R Date: Wed, 4 May 2022 09:45:51 +0100 Subject: [PATCH 17/28] add multi threading to benchmarks --- benchmarks/find_all_read_ids/run.sh | 4 +- benchmarks/run_all_benchmarks.sh | 3 +- benchmarks/tools/find_and_get_mkr.py | 110 ++++++++++++++++++----- benchmarks/tools/find_and_get_slow5.py | 118 ++++++++++++++++++++----- python/mkr_format/pyarrow_reader.py | 9 +- python/mkr_format/reader.py | 16 ++-- 6 files changed, 211 insertions(+), 49 deletions(-) diff --git a/benchmarks/find_all_read_ids/run.sh b/benchmarks/find_all_read_ids/run.sh index 397fc44..121e827 100755 --- a/benchmarks/find_all_read_ids/run.sh +++ b/benchmarks/find_all_read_ids/run.sh @@ -17,10 +17,10 @@ echo "fast5" /benchmark-tools/time.py "fast5" -- /benchmark-tools/find_and_get_fast5.py /input_path/fast5_files /benchmark/outputs/fast5_files echo "mkr c_api" -/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /benchmark/outputs//mkr_files_c_api /benchmark/outputs/mkr_files_c_api --c-api +/benchmark-tools/time.py "mkr_c_api" -- /benchmark-tools/find_and_get_mkr.py /benchmark/outputs//mkr_files_c_api /benchmark/outputs/mkr_files_c_api --c-api echo "mkr pyarrow" -/benchmark-tools/time.py "mkr" -- /benchmark-tools/find_and_get_mkr.py /benchmark/outputs//mkr_files_pyarrow /benchmark/outputs/mkr_files_pyarrow +/benchmark-tools/time.py "mkr_pyarrow" -- /benchmark-tools/find_and_get_mkr.py /benchmark/outputs//mkr_files_pyarrow /benchmark/outputs/mkr_files_pyarrow echo "slow5" /benchmark-tools/time.py "slow5" -- /benchmark-tools/find_and_get_slow5.py /benchmark/outputs/slow5_files /benchmark/outputs/slow5_files diff --git a/benchmarks/run_all_benchmarks.sh b/benchmarks/run_all_benchmarks.sh index f9696f1..4ada5dd 100755 --- a/benchmarks/run_all_benchmarks.sh +++ b/benchmarks/run_all_benchmarks.sh @@ -10,4 +10,5 @@ ${script_dir}/run_benchmark.sh convert "${input_dir}" ${script_dir}/run_benchmark.sh find_all_read_ids "${script_dir}/convert/outputs" ${script_dir}/run_benchmark.sh find_selected_read_ids_read_number "${script_dir}/find_all_read_ids/outputs" ${script_dir}/run_benchmark.sh find_selected_read_ids_sample_count "${script_dir}/find_all_read_ids/outputs" -${script_dir}/run_benchmark.sh find_selected_read_ids_samples "${script_dir}/find_all_read_ids/outputs" \ No newline at end of file +${script_dir}/run_benchmark.sh find_selected_read_ids_samples "${script_dir}/find_all_read_ids/outputs" +${script_dir}/run_benchmark.sh find_all_samples "${script_dir}/find_all_read_ids/outputs" \ No newline at end of file diff --git a/benchmarks/tools/find_and_get_mkr.py b/benchmarks/tools/find_and_get_mkr.py index 723f5ca..647269e 100755 --- a/benchmarks/tools/find_and_get_mkr.py +++ b/benchmarks/tools/find_and_get_mkr.py @@ -1,7 +1,9 @@ #!/usr/bin/python3 import argparse +import multiprocessing as mp from pathlib import Path +from queue import Empty from uuid import UUID import numpy @@ -17,36 +19,104 @@ def select_reads(file, selection): return file.reads() +def process_read(get_columns, read, read_ids, extracted_columns): + read_ids.append(read.read_id) + + for c in get_columns: + if not c in extracted_columns: + extracted_columns[c] = [] + col = extracted_columns[c] + if c == "samples": + col.append(numpy.sum(read.signal)) + else: + col.append(getattr(read, c)) + + +def do_batch_work(filename, batches, get_columns, c_api, result_q): + read_ids = [] + extracted_columns = {"read_id": read_ids} + + file = mkr_format.open_combined_file(filename, use_c_api=c_api) + for batch in batches: + for read in file.get_batch(batch).reads(): + process_read(get_columns, read, read_ids, extracted_columns) + + result_q.put(pd.DataFrame(extracted_columns)) + + +def do_search_work(files, select_read_ids, get_columns, c_api, result_q): + read_ids = [] + extracted_columns = {"read_id": read_ids} + for file in files: + file = mkr_format.open_combined_file(file, use_c_api=c_api) + + for read in file.select_reads(UUID(s) for s in select_read_ids): + process_read(get_columns, read, read_ids, extracted_columns) + + result_q.put(pd.DataFrame(extracted_columns)) + + def run(input_dir, output, select_read_ids=None, get_columns=[], c_api=False): output.mkdir(parents=True, exist_ok=True) + mp.set_start_method("spawn") + if select_read_ids is not None: print(f"Selecting {len(select_read_ids)} specific read ids") if get_columns is not None: print(f"Selecting columns: {get_columns}") - read_ids = [] - extracted_columns = {"read_id": read_ids} - print(f"Search for input files in {input_dir}") - for file in input_dir.glob("*.mkr"): - print(f"Searching for read ids in {file}") + result_queue = mp.Queue() + runners = 10 - file = mkr_format.open_combined_file(file, use_c_api=c_api) - - for read in select_reads(file, select_read_ids): - read_ids.append(read.read_id) - - for c in get_columns: - if not c in extracted_columns: - extracted_columns[c] = [] - col = extracted_columns[c] - if c == "samples": - col.append(numpy.sum(read.signal)) - else: - col.append(getattr(read, c)) + print(f"Search for input files in {input_dir}") + files = list(input_dir.glob("*.mkr")) + print(f"Searching for read ids in {[str(f) for f in files]}") - df = pd.DataFrame(extracted_columns) - print(f"Selected {len(read_ids)} items") + processes = [] + if select_read_ids is not None: + approx_chunk_size = max(1, len(select_read_ids) // runners) + start_index = 0 + while start_index < len(select_read_ids): + select_ids = select_read_ids[start_index : start_index + approx_chunk_size] + p = mp.Process( + target=do_search_work, + args=(files, select_ids, get_columns, c_api, result_queue), + ) + p.start() + processes.append(p) + start_index += len(select_ids) + else: + for filename in files: + file = mkr_format.open_combined_file(filename, use_c_api=c_api) + batches = list(range(file.batch_count)) + approx_chunk_size = max(1, len(batches) // runners) + start_index = 0 + while start_index < len(batches): + select_batches = batches[start_index : start_index + approx_chunk_size] + p = mp.Process( + target=do_batch_work, + args=(filename, select_batches, get_columns, c_api, result_queue), + ) + p.start() + processes.append(p) + start_index += len(select_batches) + + print("Wait for processes...") + items = [] + while len(items) < len(processes): + try: + item = result_queue.get(timeout=0.5) + items.append(item) + except Empty: + print("nothing") + continue + + for p in processes: + p.join() + + df = pd.concat(items) + print(f"Selected {len(df)} items") df.to_csv(output / "read_ids.csv", index=False) diff --git a/benchmarks/tools/find_and_get_slow5.py b/benchmarks/tools/find_and_get_slow5.py index c634546..66baf83 100755 --- a/benchmarks/tools/find_and_get_slow5.py +++ b/benchmarks/tools/find_and_get_slow5.py @@ -1,7 +1,9 @@ #!/usr/bin/python3 import argparse +import multiprocessing as mp from pathlib import Path +from queue import Empty import numpy import pandas as pd @@ -9,20 +11,112 @@ import pyslow5 +def process_read(get_columns, read, read_ids, extracted_columns): + read_ids.append(read["read_id"]) + + for c in get_columns: + if not c in extracted_columns: + extracted_columns[c] = [] + col = extracted_columns[c] + if c == "sample_count": + col.append(read["len_raw_signal"]) + elif c == "samples": + col.append(numpy.sum(read["signal"])) + else: + col.append(read[c]) + + +def do_file_work(filename, get_columns, result_q): + read_ids = [] + extracted_columns = {"read_id": read_ids} + + not_aux_columns = ["sample_count", "samples"] + aux_columns = list(filter(lambda x: x not in not_aux_columns, get_columns)) + + file = pyslow5.Open(str(filename), "r") + print("processing ", file) + for read in file.seq_reads(pA=False, aux=aux_columns): + process_read(get_columns, read, read_ids, extracted_columns) + + print("done") + result_q.put(pd.DataFrame(extracted_columns)) + + +def do_search_work(files, select_read_ids, get_columns, result_q): + read_ids = [] + extracted_columns = {"read_id": read_ids} + + not_aux_columns = ["sample_count", "samples"] + aux_columns = list(filter(lambda x: x not in not_aux_columns, get_columns)) + + print("processing ", files) + for file in files: + file = pyslow5.Open(str(file), "r") + + for read in file.get_read_list(select_read_ids, pA=False, aux=aux_columns): + process_read(get_columns, read, read_ids, extracted_columns) + + print("done") + result_q.put(pd.DataFrame(extracted_columns)) + + def run(input_dir, output, select_read_ids=None, get_columns=[]): output.mkdir(parents=True, exist_ok=True) + mp.set_start_method("spawn") + if select_read_ids is not None: print(f"Selecting {len(select_read_ids)} specific read ids") if get_columns is not None: print(f"Selecting columns: {get_columns}") - not_aux_columns = ["sample_count", "samples"] - aux_columns = list(filter(lambda x: x not in not_aux_columns, get_columns)) + result_queue = mp.Queue() + runners = 10 + + print(f"Search for input files in {input_dir}") + files = list(input_dir.glob("*.blow5")) + print(f"Searching for read ids in {[str(f) for f in files]}") + + processes = [] + if select_read_ids is not None: + approx_chunk_size = max(1, len(select_read_ids) // runners) + start_index = 0 + while start_index < len(select_read_ids): + select_ids = select_read_ids[start_index : start_index + approx_chunk_size] + p = mp.Process( + target=do_search_work, + args=(files, select_ids, get_columns, result_queue), + ) + p.start() + processes.append(p) + start_index += len(select_ids) + else: + for filename in files: + p = mp.Process( + target=do_file_work, args=(filename, get_columns, result_queue) + ) + p.start() + processes.append(p) + + print("Wait for processes...") + items = [] + while len(items) < len(processes): + try: + item = result_queue.get(timeout=0.5) + items.append(item) + except Empty: + continue + + for p in processes: + p.join() + + df = pd.concat(items) + print(f"Selected {len(df)} items") + df.to_csv(output / "read_ids.csv", index=False) + """ read_ids = [] extracted_columns = {"read_id": read_ids} - print(f"Search for input files in {input_dir}") for file in input_dir.glob("*.blow5"): print(f"Searching for read ids in {file}") @@ -33,23 +127,7 @@ def run(input_dir, output, select_read_ids=None, get_columns=[]): else: iterable = file.seq_reads(pA=False, aux=aux_columns) - for read in iterable: - read_ids.append(read["read_id"]) - - for c in get_columns: - if not c in extracted_columns: - extracted_columns[c] = [] - col = extracted_columns[c] - if c == "sample_count": - col.append(read["len_raw_signal"]) - elif c == "samples": - col.append(numpy.sum(read["signal"])) - else: - col.append(read[c]) - - df = pd.DataFrame(extracted_columns) - print(f"Selected {len(read_ids)} items") - df.to_csv(output / "read_ids.csv", index=False) + """ def main(): diff --git a/python/mkr_format/pyarrow_reader.py b/python/mkr_format/pyarrow_reader.py index 12d9d2e..4a0d983 100644 --- a/python/mkr_format/pyarrow_reader.py +++ b/python/mkr_format/pyarrow_reader.py @@ -156,9 +156,16 @@ def __enter__(self): def __exit__(self, type, value, traceback): pass + @property + def batch_count(self): + return self._read_reader.reader.num_record_batches + + def get_batch(self, i): + return ReadBatchPyArrow(self, self._read_reader.reader.get_record_batch(i)) + def read_batches(self): for i in range(self._read_reader.reader.num_record_batches): - yield ReadBatchPyArrow(self, self._read_reader.reader.get_record_batch(i)) + yield self.get_batch(i) def reads(self): for batch in self.read_batches(): diff --git a/python/mkr_format/reader.py b/python/mkr_format/reader.py index a3288f8..8b0f6fa 100644 --- a/python/mkr_format/reader.py +++ b/python/mkr_format/reader.py @@ -357,16 +357,22 @@ def __enter__(self): def __exit__(self, type, value, traceback): pass - def read_batches(self): + @property + def batch_count(self): size = ctypes.c_size_t() check_error(c_api.mkr_get_read_batch_count(ctypes.byref(size), self._reader)) + return size.value - for i in range(size.value): - batch = ctypes.POINTER(c_api.MkrReadRecordBatch)() + def get_batch(self, i): + batch = ctypes.POINTER(c_api.MkrReadRecordBatch)() - check_error(c_api.mkr_get_read_batch(ctypes.byref(batch), self._reader, i)) + check_error(c_api.mkr_get_read_batch(ctypes.byref(batch), self._reader, i)) - yield ReadBatchCApi(self._reader, batch) + return ReadBatchCApi(self._reader, batch) + + def read_batches(self): + for i in range(self.batch_count): + yield self.get_batch(i) def reads(self): for batch in self.read_batches(): From c146a38cf6063a7aec04c395c5ad18cb6a30c24f Mon Sep 17 00:00:00 2001 From: George Pimm Date: Wed, 4 May 2022 10:32:29 +0100 Subject: [PATCH 18/28] fix build --- benchmarks/find_all_samples/run.sh | 25 +++++++++++++++++++++++++ benchmarks/tools/find_and_get_mkr.py | 1 - 2 files changed, 25 insertions(+), 1 deletion(-) create mode 100755 benchmarks/find_all_samples/run.sh diff --git a/benchmarks/find_all_samples/run.sh b/benchmarks/find_all_samples/run.sh new file mode 100755 index 0000000..4d010d9 --- /dev/null +++ b/benchmarks/find_all_samples/run.sh @@ -0,0 +1,25 @@ +#!/bin/bash + +ls /input_path + +rm -r /benchmark/outputs || true + +echo "selecting read ids" +/benchmark-tools/select-random-ids.py /input_path/slow5_files/read_ids.csv /benchmark/outputs/read_ids.csv + +echo "fast5" +/benchmark-tools/time.py "fast5" -- /benchmark-tools/find_and_get_fast5.py /input_path/fast5_files /benchmark/outputs/fast5_files --get-column samples + +echo "mkr c_api" +/benchmark-tools/time.py "mkr_c_api" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_c_api /benchmark/outputs/mkr_files_c_api --get-column samples --c-api + +echo "mkr pyarrow" +/benchmark-tools/time.py "mkr_pyarrow" -- /benchmark-tools/find_and_get_mkr.py /input_path/mkr_files_pyarrow /benchmark/outputs/mkr_files_pyarrow --get-column samples + +echo "slow5" +/benchmark-tools/time.py "slow5" -- /benchmark-tools/find_and_get_slow5.py /input_path/slow5_files /benchmark/outputs/slow5_files --get-column samples + +echo "check" +/benchmark-tools/check_csvs_consistent.py /benchmark/outputs/fast5_files/read_ids.csv /benchmark/outputs/slow5_files/read_ids.csv +/benchmark-tools/check_csvs_consistent.py /benchmark/outputs/mkr_files_c_api/read_ids.csv /benchmark/outputs/slow5_files/read_ids.csv +/benchmark-tools/check_csvs_consistent.py /benchmark/outputs/mkr_files_pyarrow/read_ids.csv /benchmark/outputs/slow5_files/read_ids.csv \ No newline at end of file diff --git a/benchmarks/tools/find_and_get_mkr.py b/benchmarks/tools/find_and_get_mkr.py index 647269e..0528762 100755 --- a/benchmarks/tools/find_and_get_mkr.py +++ b/benchmarks/tools/find_and_get_mkr.py @@ -109,7 +109,6 @@ def run(input_dir, output, select_read_ids=None, get_columns=[], c_api=False): item = result_queue.get(timeout=0.5) items.append(item) except Empty: - print("nothing") continue for p in processes: From 6d390ccdb936d51afc31e37df81dc28aed7f214d Mon Sep 17 00:00:00 2001 From: George Pimm Date: Wed, 4 May 2022 11:01:40 +0100 Subject: [PATCH 19/28] fix unpack code --- benchmarks/image/Dockerfile.base | 2 +- ci/unpack_libs_for_python.sh | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/benchmarks/image/Dockerfile.base b/benchmarks/image/Dockerfile.base index 2afa7f0..cdfe8c2 100644 --- a/benchmarks/image/Dockerfile.base +++ b/benchmarks/image/Dockerfile.base @@ -7,7 +7,7 @@ RUN wget https://github.com/nanoporetech/vbz_compression/releases/download/v1.0. ENV SLOW_5_VERSION=v0.4.0 RUN wget "https://github.com/hasindu2008/slow5tools/releases/download/$SLOW_5_VERSION/slow5tools-$SLOW_5_VERSION-x86_64-linux-binaries.tar.gz" && tar xvf slow5tools-$SLOW_5_VERSION-x86_64-linux-binaries.tar.gz && rm slow5tools-$SLOW_5_VERSION-x86_64-linux-binaries.tar.gz ENV PATH="/slow5tools-$SLOW_5_VERSION/:${PATH}" -RUN pip install pyslow5 +RUN pip install pyslow5==0.5.0a1 COPY ./mkr_format*.whl / RUN pip install *.whl && rm *.whl diff --git a/ci/unpack_libs_for_python.sh b/ci/unpack_libs_for_python.sh index 3f443c3..7a73041 100755 --- a/ci/unpack_libs_for_python.sh +++ b/ci/unpack_libs_for_python.sh @@ -5,7 +5,7 @@ output_dir=$2 echo "Unpacking builds from $input_dir to $output_dir" -file_regex=".*/mkr-file-format-.*-(.*).tar.gz" +file_regex=".*/mkr-file-format-[0-9\.]*-(.*).tar.gz" for i in ${input_dir}/mkr-file-format*.tar.gz; do if [[ $i =~ $file_regex ]] From 428ed085ef2566d69aab5c03321840cacb43636f Mon Sep 17 00:00:00 2001 From: George Pimm Date: Wed, 4 May 2022 11:18:10 +0100 Subject: [PATCH 20/28] correctly specify toolchain --- .gitlab-ci.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index eb12c48..9103cae 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -44,7 +44,7 @@ pre-commit checks: - mkdir build - cd build - conan install --profile ${CONAN_PROFILE} .. - - cmake -DCMAKE_BUILD_TYPE=Release .. + - cmake ${CMAKE_ARGS} -DCMAKE_BUILD_TYPE=Release .. - cmake --build . --config Release - ctest -C Release -VV - cmake -DCMAKE_INSTALL_PREFIX="archive" -DBUILD_TYPE="Release" -P "cmake_install.cmake" @@ -94,6 +94,7 @@ win-x64-msvc2017-release-build: variables: CONAN_PROFILE: "windows-x86_64-vs2017-release" OUTPUT_SKU: "win-x64" + CMAKE_ARGS: "-A x64 -G \"Visual Studio 15 2017\"" wheel-build: stage: build-python From 0cb848a5bdfc94edfd5ba5645fad45656aecda91 Mon Sep 17 00:00:00 2001 From: George Pimm Date: Wed, 4 May 2022 13:08:01 +0100 Subject: [PATCH 21/28] improve builds --- .gitlab-ci.yml | 17 +- CMakeLists.txt | 5 +- README.md | 65 ++- benchmarks/README.md | 49 +- c++/CMakeLists.txt | 21 +- cmake/BuildFlatBuffers.cmake | 423 ++++++++++++++++ cmake/FindArrow.cmake | 478 +++++++++++++++++++ cmake/Findzstd.cmake | 75 +++ python/README.md | 29 +- python/mkr_format/examples/find_all_reads.py | 134 ++++++ 10 files changed, 1255 insertions(+), 41 deletions(-) create mode 100644 cmake/BuildFlatBuffers.cmake create mode 100644 cmake/FindArrow.cmake create mode 100644 cmake/Findzstd.cmake create mode 100644 python/mkr_format/examples/find_all_reads.py diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 9103cae..2762c6e 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -37,6 +37,21 @@ pre-commit checks: paths: - ${PRE_COMMIT_HOME} +build-standalone-ubu20: + stage: build + image: ubuntu:20.04 + script: + - apt install -y -V ca-certificates lsb-release wget + - wget https://apache.jfrog.io/artifactory/arrow/$(lsb_release --id --short | tr 'A-Z' 'a-z')/apache-arrow-apt-source-latest-$(lsb_release --codename --short).deb + - apt install -y -V ./apache-arrow-apt-source-latest-$(lsb_release --codename --short).deb + - apt update + - apt install cmake libzstd-dev libzstd-dev libboost-dev libboost-filesystem-dev libflatbuffers-dev + - mkdir build + - cd build + - conan install .. # Optional step, but the source requires the libraries are available on the system in a way cmake can find them. + - cmake .. + - make -j + .build: stage: build script: @@ -45,7 +60,7 @@ pre-commit checks: - cd build - conan install --profile ${CONAN_PROFILE} .. - cmake ${CMAKE_ARGS} -DCMAKE_BUILD_TYPE=Release .. - - cmake --build . --config Release + - cmake --build . --config Release -DUSE_CONAN=ON - ctest -C Release -VV - cmake -DCMAKE_INSTALL_PREFIX="archive" -DBUILD_TYPE="Release" -P "cmake_install.cmake" - cd ./archive diff --git a/CMakeLists.txt b/CMakeLists.txt index 81bce23..4fb1877 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -8,8 +8,9 @@ project(MKR VERSION ${MKR_NUMERIC_VERSION} ) -option(FORCE_CI_COMPATIBILITY "Change compiler flags to ensure compatibility with CI builds" ON) -if (FORCE_CI_COMPATIBILITY AND CMAKE_COMPILER_IS_GNUCXX AND +option(USE_CONAN "Use conan for dependency management" OFF) + +if (USE_CONAN AND CMAKE_COMPILER_IS_GNUCXX AND CMAKE_CXX_COMPILER_VERSION VERSION_GREATER_EQUAL "9.0" AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS "10.0") # We build MKR on CentOS 7 in CI, where we have GCC 9 but only the pre-C++11 ABI diff --git a/README.md b/README.md index 71b0f9b..fcfac1b 100644 --- a/README.md +++ b/README.md @@ -14,8 +14,41 @@ What does this project contain This project contains a core library for reading and writing MKR data, and a toolkit for accessing this data in other languages. -Getting Started ---------------- + +Usage +----- + +The MKR is bundled as a python module for easy use in scripts, a user can install using: + +```bash +> pip install mkr_format +``` + +The python module comes with several tools to assist users with mkr files, and a python library to write custom scripts against. + +Please see [examples](./python/mkr_format/examples) for documentation on using the library. + +Tools +----- + +### mkr-convert-fast5 + +Generate an mkr file from a set of input fast5 files: + +```bash +> mkr-convert-fast5 input_fast5_1.fast5 input_fast5_2.fast5 output_mkr_file.mkr +``` + +### mkr-inspect + +Inspect an mkr file to extract details about the contents: + +```bash +> mkr-inspect mkr_file.mkr +``` + +Development +----------- ### Developing @@ -28,9 +61,35 @@ Building the project requires several tools and libraries are available: - Flatbuffers ```bash -> pip install -r ./requirements.txt > mkdir build > cd build > conan install .. # Optional step, but the source requires the libraries are available on the system in a way cmake can find them. > cmake .. ``` + + +### Developing using conan + +Building the project requires several tools and libraries are available: + +- CMake +- Arrow +- Zstd +- Boost +- Flatbuffers + +```bash +# Docs on installing arrow from here: https://arrow.apache.org/install/ +> sudo apt install -y -V ca-certificates lsb-release wget +> wget https://apache.jfrog.io/artifactory/arrow/$(lsb_release --id --short | tr 'A-Z' 'a-z')/apache-arrow-apt-source-latest-$(lsb_release --codename --short).deb +> sudo apt install -y -V ./apache-arrow-apt-source-latest-$(lsb_release --codename --short).deb +> sudo apt update +# Now install the rest of the dependencies: +> sudo apt install cmake libzstd-dev libzstd-dev libboost-dev libflatbuffers-dev +# Finally start build of MKR: +> mkdir build +> cd build +> conan install .. # Optional step, but the source requires the libraries are available on the system in a way cmake can find them. +> cmake .. +> make -j +``` diff --git a/benchmarks/README.md b/benchmarks/README.md index 3260522..690f967 100644 --- a/benchmarks/README.md +++ b/benchmarks/README.md @@ -21,9 +21,52 @@ To run a benchmark, use the helper script to start the docker image: -Benchmarking Result -------------------- +Benchmarking Results +-------------------- On dataset a PCR Zymo dataset PAM50264, on 10.4.1 e8.2 data (`pcr_zymo/20220419_1706_2E_PAM50264_3c6f33f1`): -### Converting fast5 \ No newline at end of file +``` +Note preliminary results + +More work needed on splitting one blow5 file into batches for threading, and thoughts needed on if an index could be added to mkr files... or the benchmark could be better at least. +``` + +### Convert + +| | Fast5 | MKR | blow5 | +|------|-------|----------|----------| +| Time | N/A | 227 secs | 781 secs | +| Size | 52 GB | 37GB | 38GB | + + +### Find all read ids + +| | Fast5 | MKR | blow5 | +|------|----------|----------|----------| +| Time | 6.1 secs | 4.9 secs | 275 secs | + +### Find all samples + +| | Fast5 | MKR | blow5 | +|------|----------|---------|----------| +| Time | 524 secs | 31 secs | 317 secs | + + +### Find selected read ids + extract read number + +| | Fast5 | MKR | blow5 | +|------|----------|---------|--------| +| Time | 412 secs | 10 secs | 8 secs | + +### Find selected read ids + extract sample count + +| | Fast5 | MKR | blow5 | +|------|----------|---------|--------| +| Time | 414 secs | 14 secs | 9 secs | + +### Find selected read ids + samples + +| | Fast5 | MKR | blow5 | +|------|----------|---------|---------| +| Time | 476 secs | 16 secs | 10 secs | diff --git a/c++/CMakeLists.txt b/c++/CMakeLists.txt index 39dc708..e7483c6 100644 --- a/c++/CMakeLists.txt +++ b/c++/CMakeLists.txt @@ -1,8 +1,20 @@ -find_package(Arrow REQUIRED CONFIG) -find_package(Boost REQUIRED CONFIG) -find_package(Flatbuffers REQUIRED CONFIG) -find_package(zstd REQUIRED CONFIG) + +if (USE_CONAN) + find_package(Arrow REQUIRED CONFIG) + find_package(Boost REQUIRED CONFIG) + find_package(Flatbuffers REQUIRED CONFIG) + find_package(zstd REQUIRED CONFIG) +else() + find_package(Arrow REQUIRED) + find_package( + Boost REQUIRED + COMPONENTS + filesystem + ) + find_package(Flatbuffers REQUIRED) + find_package(zstd REQUIRED) +endif() find_program( FLATBUFFERS_FLATC_EXECUTABLE @@ -113,6 +125,7 @@ target_link_libraries(mkr_format arrow::arrow flatbuffers::flatbuffers Boost::headers + Boost::filesystem PRIVATE mkr_flatbuffers zstd::zstd diff --git a/cmake/BuildFlatBuffers.cmake b/cmake/BuildFlatBuffers.cmake new file mode 100644 index 0000000..b0c5c8f --- /dev/null +++ b/cmake/BuildFlatBuffers.cmake @@ -0,0 +1,423 @@ +# Copyright 2015 Google Inc. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# General function to create FlatBuffer build rules for the given list of +# schemas. +# +# flatbuffers_schemas: A list of flatbuffer schema files to process. +# +# schema_include_dirs: A list of schema file include directories, which will be +# passed to flatc via the -I parameter. +# +# custom_target_name: The generated files will be added as dependencies for a +# new custom target with this name. You should add that target as a dependency +# for your main target to ensure these files are built. You can also retrieve +# various properties from this target, such as GENERATED_INCLUDES_DIR, +# BINARY_SCHEMAS_DIR, and COPY_TEXT_SCHEMAS_DIR. +# +# additional_dependencies: A list of additional dependencies that you'd like +# all generated files to depend on. Pass in a blank string if you have none. +# +# generated_includes_dir: Where to generate the C++ header files for these +# schemas. The generated includes directory will automatically be added to +# CMake's include directories, and will be where generated header files are +# placed. This parameter is optional; pass in empty string if you don't want to +# generate include files for these schemas. +# +# binary_schemas_dir: If you specify an optional binary schema directory, binary +# schemas will be generated for these schemas as well, and placed into the given +# directory. +# +# copy_text_schemas_dir: If you want all text schemas (including schemas from +# all schema include directories) copied into a directory (for example, if you +# need them within your project to build JSON files), you can specify that +# folder here. All text schemas will be copied to that folder. +# +# IMPORTANT: Make sure you quote all list arguments you pass to this function! +# Otherwise CMake will only pass in the first element. +# Example: build_flatbuffers("${fb_files}" "${include_dirs}" target_name ...) +function(build_flatbuffers flatbuffers_schemas + schema_include_dirs + custom_target_name + additional_dependencies + generated_includes_dir + binary_schemas_dir + copy_text_schemas_dir) + + # Test if including from FindFlatBuffers + if(FLATBUFFERS_FLATC_EXECUTABLE) + set(FLATC_TARGET "") + set(FLATC ${FLATBUFFERS_FLATC_EXECUTABLE}) + else() + set(FLATC_TARGET flatc) + set(FLATC flatc) + endif() + set(FLATC_SCHEMA_ARGS --gen-mutable) + if(FLATBUFFERS_FLATC_SCHEMA_EXTRA_ARGS) + set(FLATC_SCHEMA_ARGS + ${FLATBUFFERS_FLATC_SCHEMA_EXTRA_ARGS} + ${FLATC_SCHEMA_ARGS} + ) + endif() + + set(working_dir "${CMAKE_CURRENT_SOURCE_DIR}") + + set(schema_glob "*.fbs") + # Generate the include files parameters. + set(include_params "") + set(all_generated_files "") + foreach (include_dir ${schema_include_dirs}) + set(include_params -I ${include_dir} ${include_params}) + if (NOT ${copy_text_schemas_dir} STREQUAL "") + # Copy text schemas from dependent folders. + file(GLOB_RECURSE dependent_schemas ${include_dir}/${schema_glob}) + foreach (dependent_schema ${dependent_schemas}) + file(COPY ${dependent_schema} DESTINATION ${copy_text_schemas_dir}) + endforeach() + endif() + endforeach() + + foreach(schema ${flatbuffers_schemas}) + get_filename_component(filename ${schema} NAME_WE) + # For each schema, do the things we requested. + if (NOT ${generated_includes_dir} STREQUAL "") + set(generated_include ${generated_includes_dir}/${filename}_generated.h) + add_custom_command( + OUTPUT ${generated_include} + COMMAND ${FLATC} ${FLATC_SCHEMA_ARGS} + -o ${generated_includes_dir} + ${include_params} + -c ${schema} + DEPENDS ${FLATC_TARGET} ${schema} ${additional_dependencies} + WORKING_DIRECTORY "${working_dir}") + list(APPEND all_generated_files ${generated_include}) + endif() + + if (NOT ${binary_schemas_dir} STREQUAL "") + set(binary_schema ${binary_schemas_dir}/${filename}.bfbs) + add_custom_command( + OUTPUT ${binary_schema} + COMMAND ${FLATC} -b --schema + -o ${binary_schemas_dir} + ${include_params} + ${schema} + DEPENDS ${FLATC_TARGET} ${schema} ${additional_dependencies} + WORKING_DIRECTORY "${working_dir}") + list(APPEND all_generated_files ${binary_schema}) + endif() + + if (NOT ${copy_text_schemas_dir} STREQUAL "") + file(COPY ${schema} DESTINATION ${copy_text_schemas_dir}) + endif() + endforeach() + + # Create a custom target that depends on all the generated files. + # This is the target that you can depend on to trigger all these + # to be built. + add_custom_target(${custom_target_name} + DEPENDS ${all_generated_files} ${additional_dependencies}) + + # Register the include directory we are using. + if (NOT ${generated_includes_dir} STREQUAL "") + include_directories(${generated_includes_dir}) + set_property(TARGET ${custom_target_name} + PROPERTY GENERATED_INCLUDES_DIR + ${generated_includes_dir}) + endif() + + # Register the binary schemas dir we are using. + if (NOT ${binary_schemas_dir} STREQUAL "") + set_property(TARGET ${custom_target_name} + PROPERTY BINARY_SCHEMAS_DIR + ${binary_schemas_dir}) + endif() + + # Register the text schema copy dir we are using. + if (NOT ${copy_text_schemas_dir} STREQUAL "") + set_property(TARGET ${custom_target_name} + PROPERTY COPY_TEXT_SCHEMAS_DIR + ${copy_text_schemas_dir}) + endif() +endfunction() + +# Creates a target that can be linked against that generates flatbuffer headers. +# +# This function takes a target name and a list of schemas. You can also specify +# other flagc flags using the FLAGS option to change the behavior of the flatc +# tool. +# +# Arguments: +# TARGET: The name of the target to generate. +# SCHEMAS: The list of schema files to generate code for. +# BINARY_SCHEMAS_DIR: Optional. The directory in which to generate binary +# schemas. Binary schemas will only be generated if a path is provided. +# INCLUDE: Optional. Search for includes in the specified paths. (Use this +# instead of "-I " and the FLAGS option so that CMake is aware of +# the directories that need to be searched). +# INCLUDE_PREFIX: Optional. The directory in which to place the generated +# files. Use this instead of the --include-prefix option. +# FLAGS: Optional. A list of any additional flags that you would like to pass +# to flatc. +# +# Example: +# +# flatbuffers_generate_headers( +# TARGET my_generated_headers_target +# INCLUDE_PREFIX ${MY_INCLUDE_PREFIX}" +# SCHEMAS ${MY_SCHEMA_FILES} +# BINARY_SCHEMAS_DIR "${MY_BINARY_SCHEMA_DIRECTORY}" +# FLAGS --gen-object-api) +# +# target_link_libraries(MyExecutableTarget +# PRIVATE my_generated_headers_target +# ) +function(flatbuffers_generate_headers) + # Parse function arguments. + set(options) + set(one_value_args + "TARGET" + "INCLUDE_PREFIX" + "BINARY_SCHEMAS_DIR") + set(multi_value_args + "SCHEMAS" + "INCLUDE" + "FLAGS") + cmake_parse_arguments( + PARSE_ARGV 0 + FLATBUFFERS_GENERATE_HEADERS + "${options}" + "${one_value_args}" + "${multi_value_args}") + + # Test if including from FindFlatBuffers + if(FLATBUFFERS_FLATC_EXECUTABLE) + set(FLATC_TARGET "") + set(FLATC ${FLATBUFFERS_FLATC_EXECUTABLE}) + else() + set(FLATC_TARGET flatc) + set(FLATC flatc) + endif() + + set(working_dir "${CMAKE_CURRENT_SOURCE_DIR}") + + # Generate the include files parameters. + set(include_params "") + foreach (include_dir ${FLATBUFFERS_GENERATE_HEADERS_INCLUDE}) + set(include_params -I ${include_dir} ${include_params}) + endforeach() + + # Create a directory to place the generated code. + set(generated_target_dir "${CMAKE_CURRENT_BINARY_DIR}/${FLATBUFFERS_GENERATE_HEADERS_TARGET}") + set(generated_include_dir "${generated_target_dir}") + if (NOT ${FLATBUFFERS_GENERATE_HEADERS_INCLUDE_PREFIX} STREQUAL "") + set(generated_include_dir "${generated_include_dir}/${FLATBUFFERS_GENERATE_HEADERS_INCLUDE_PREFIX}") + list(APPEND FLATBUFFERS_GENERATE_HEADERS_FLAGS + "--include-prefix" ${FLATBUFFERS_GENERATE_HEADERS_INCLUDE_PREFIX}) + endif() + + # Create rules to generate the code for each schema. + foreach(schema ${FLATBUFFERS_GENERATE_HEADERS_SCHEMAS}) + get_filename_component(filename ${schema} NAME_WE) + set(generated_include "${generated_include_dir}/${filename}_generated.h") + + # Generate files for grpc if needed + set(generated_source_file) + if("${FLATBUFFERS_GENERATE_HEADERS_FLAGS}" MATCHES "--grpc") + # Check if schema file contain a rpc_service definition + file(STRINGS ${schema} has_grpc REGEX "rpc_service") + if(has_grpc) + list(APPEND generated_include "${generated_include_dir}/${filename}.grpc.fb.h") + set(generated_source_file "${generated_include_dir}/${filename}.grpc.fb.cc") + endif() + endif() + + add_custom_command( + OUTPUT ${generated_include} ${generated_source_file} + COMMAND ${FLATC} ${FLATC_ARGS} + -o ${generated_include_dir} + ${include_params} + -c ${schema} + ${FLATBUFFERS_GENERATE_HEADERS_FLAGS} + DEPENDS ${FLATC_TARGET} ${schema} + WORKING_DIRECTORY "${working_dir}" + COMMENT "Building ${schema} flatbuffers...") + list(APPEND all_generated_header_files ${generated_include}) + list(APPEND all_generated_source_files ${generated_source_file}) + + # Geneate the binary flatbuffers schemas if instructed to. + if (NOT ${FLATBUFFERS_GENERATE_HEADERS_BINARY_SCHEMAS_DIR} STREQUAL "") + set(binary_schema + "${FLATBUFFERS_GENERATE_HEADERS_BINARY_SCHEMAS_DIR}/${filename}.bfbs") + add_custom_command( + OUTPUT ${binary_schema} + COMMAND ${FLATC} -b --schema + -o ${FLATBUFFERS_GENERATE_HEADERS_BINARY_SCHEMAS_DIR} + ${include_params} + ${schema} + DEPENDS ${FLATC_TARGET} ${schema} + WORKING_DIRECTORY "${working_dir}") + list(APPEND all_generated_binary_files ${binary_schema}) + endif() + endforeach() + + # Set up interface library + add_library(${FLATBUFFERS_GENERATE_HEADERS_TARGET} INTERFACE) + target_sources( + ${FLATBUFFERS_GENERATE_HEADERS_TARGET} + INTERFACE + ${all_generated_header_files} + ${all_generated_binary_files} + ${all_generated_source_files} + ${FLATBUFFERS_GENERATE_HEADERS_SCHEMAS}) + add_dependencies( + ${FLATBUFFERS_GENERATE_HEADERS_TARGET} + ${FLATC} + ${FLATBUFFERS_GENERATE_HEADERS_SCHEMAS}) + target_include_directories( + ${FLATBUFFERS_GENERATE_HEADERS_TARGET} + INTERFACE ${generated_target_dir}) + + # Organize file layout for IDEs. + source_group( + TREE "${generated_target_dir}" + PREFIX "Flatbuffers/Generated/Headers Files" + FILES ${all_generated_header_files}) + source_group( + TREE "${generated_target_dir}" + PREFIX "Flatbuffers/Generated/Source Files" + FILES ${all_generated_source_files}) + source_group( + TREE ${working_dir} + PREFIX "Flatbuffers/Schemas" + FILES ${FLATBUFFERS_GENERATE_HEADERS_SCHEMAS}) + if (NOT ${FLATBUFFERS_GENERATE_HEADERS_BINARY_SCHEMAS_DIR} STREQUAL "") + source_group( + TREE "${FLATBUFFERS_GENERATE_HEADERS_BINARY_SCHEMAS_DIR}" + PREFIX "Flatbuffers/Generated/Binary Schemas" + FILES ${all_generated_binary_files}) + endif() +endfunction() + +# Creates a target that can be linked against that generates flatbuffer binaries +# from json files. +# +# This function takes a target name and a list of schemas and Json files. You +# can also specify other flagc flags and options to change the behavior of the +# flatc compiler. +# +# Adding this target to your executable ensurses that the flatbuffer binaries +# are compiled before your executable is run. +# +# Arguments: +# TARGET: The name of the target to generate. +# JSON_FILES: The list of json files to compile to flatbuffers binaries. +# SCHEMA: The flatbuffers schema of the Json files to be compiled. +# INCLUDE: Optional. Search for includes in the specified paths. (Use this +# instead of "-I " and the FLAGS option so that CMake is aware of +# the directories that need to be searched). +# OUTPUT_DIR: The directly where the generated flatbuffers binaries should be +# placed. +# FLAGS: Optional. A list of any additional flags that you would like to pass +# to flatc. +# +# Example: +# +# flatbuffers_generate_binary_files( +# TARGET my_binary_data +# SCHEMA "${MY_SCHEMA_DIR}/my_example_schema.fbs" +# JSON_FILES ${MY_JSON_FILES} +# OUTPUT_DIR "${MY_BINARY_DATA_DIRECTORY}" +# FLAGS --strict-json) +# +# target_link_libraries(MyExecutableTarget +# PRIVATE my_binary_data +# ) +function(flatbuffers_generate_binary_files) + # Parse function arguments. + set(options) + set(one_value_args + "TARGET" + "SCHEMA" + "OUTPUT_DIR") + set(multi_value_args + "JSON_FILES" + "INCLUDE" + "FLAGS") + cmake_parse_arguments( + PARSE_ARGV 0 + FLATBUFFERS_GENERATE_BINARY_FILES + "${options}" + "${one_value_args}" + "${multi_value_args}") + + # Test if including from FindFlatBuffers + if(FLATBUFFERS_FLATC_EXECUTABLE) + set(FLATC_TARGET "") + set(FLATC ${FLATBUFFERS_FLATC_EXECUTABLE}) + else() + set(FLATC_TARGET flatc) + set(FLATC flatc) + endif() + + set(working_dir "${CMAKE_CURRENT_SOURCE_DIR}") + + # Generate the include files parameters. + set(include_params "") + foreach (include_dir ${FLATBUFFERS_GENERATE_BINARY_FILES_INCLUDE}) + set(include_params -I ${include_dir} ${include_params}) + endforeach() + + # Create rules to generate the flatbuffers binary for each json file. + foreach(json_file ${FLATBUFFERS_GENERATE_BINARY_FILES_JSON_FILES}) + get_filename_component(filename ${json_file} NAME_WE) + set(generated_binary_file "${FLATBUFFERS_GENERATE_BINARY_FILES_OUTPUT_DIR}/${filename}.bin") + add_custom_command( + OUTPUT ${generated_binary_file} + COMMAND ${FLATC} ${FLATC_ARGS} + -o ${FLATBUFFERS_GENERATE_BINARY_FILES_OUTPUT_DIR} + ${include_params} + -b ${FLATBUFFERS_GENERATE_BINARY_FILES_SCHEMA} ${json_file} + ${FLATBUFFERS_GENERATE_BINARY_FILES_FLAGS} + DEPENDS ${FLATC_TARGET} ${json_file} + WORKING_DIRECTORY "${working_dir}" + COMMENT "Building ${json_file} binary flatbuffers...") + list(APPEND all_generated_binary_files ${generated_binary_file}) + endforeach() + + # Set up interface library + add_library(${FLATBUFFERS_GENERATE_BINARY_FILES_TARGET} INTERFACE) + target_sources( + ${FLATBUFFERS_GENERATE_BINARY_FILES_TARGET} + INTERFACE + ${all_generated_binary_files} + ${FLATBUFFERS_GENERATE_BINARY_FILES_JSON_FILES} + ${FLATBUFFERS_GENERATE_BINARY_FILES_SCHEMA}) + add_dependencies( + ${FLATBUFFERS_GENERATE_BINARY_FILES_TARGET} + ${FLATC}) + + # Organize file layout for IDEs. + source_group( + TREE ${working_dir} + PREFIX "Flatbuffers/JSON Files" + FILES ${FLATBUFFERS_GENERATE_BINARY_FILES_JSON_FILES}) + source_group( + TREE ${working_dir} + PREFIX "Flatbuffers/Schemas" + FILES ${FLATBUFFERS_GENERATE_BINARY_FILES_SCHEMA}) + source_group( + TREE ${FLATBUFFERS_GENERATE_BINARY_FILES_OUTPUT_DIR} + PREFIX "Flatbuffers/Generated/Binary Files" + FILES ${all_generated_binary_files}) +endfunction() diff --git a/cmake/FindArrow.cmake b/cmake/FindArrow.cmake new file mode 100644 index 0000000..a5da887 --- /dev/null +++ b/cmake/FindArrow.cmake @@ -0,0 +1,478 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +# - Find Arrow (arrow/api.h, libarrow.a, libarrow.so) +# This module defines +# ARROW_FOUND, whether Arrow has been found +# ARROW_FULL_SO_VERSION, full shared object version of found Arrow "100.0.0" +# ARROW_IMPORT_LIB, path to libarrow's import library (Windows only) +# ARROW_INCLUDE_DIR, directory containing headers +# ARROW_LIBS, deprecated. Use ARROW_LIB_DIR instead +# ARROW_LIB_DIR, directory containing Arrow libraries +# ARROW_SHARED_IMP_LIB, deprecated. Use ARROW_IMPORT_LIB instead +# ARROW_SHARED_LIB, path to libarrow's shared library +# ARROW_SO_VERSION, shared object version of found Arrow such as "100" +# ARROW_STATIC_LIB, path to libarrow.a +# ARROW_VERSION, version of found Arrow +# ARROW_VERSION_MAJOR, major version of found Arrow +# ARROW_VERSION_MINOR, minor version of found Arrow +# ARROW_VERSION_PATCH, patch version of found Arrow + +if(DEFINED ARROW_FOUND) + return() +endif() + +find_package(PkgConfig) +include(FindPackageHandleStandardArgs) + +if(WIN32 AND NOT MINGW) + # This is used to handle builds using e.g. clang in an MSVC setting. + set(MSVC_TOOLCHAIN TRUE) +else() + set(MSVC_TOOLCHAIN FALSE) +endif() + +set(ARROW_SEARCH_LIB_PATH_SUFFIXES) +if(CMAKE_LIBRARY_ARCHITECTURE) + list(APPEND ARROW_SEARCH_LIB_PATH_SUFFIXES "lib/${CMAKE_LIBRARY_ARCHITECTURE}") +endif() +list(APPEND + ARROW_SEARCH_LIB_PATH_SUFFIXES + "lib64" + "lib32" + "lib" + "bin") +set(ARROW_CONFIG_SUFFIXES + "_RELEASE" + "_RELWITHDEBINFO" + "_MINSIZEREL" + "_DEBUG" + "") +if(CMAKE_BUILD_TYPE) + string(TOUPPER ${CMAKE_BUILD_TYPE} ARROW_CONFIG_SUFFIX_PREFERRED) + set(ARROW_CONFIG_SUFFIX_PREFERRED "_${ARROW_CONFIG_SUFFIX_PREFERRED}") + list(INSERT ARROW_CONFIG_SUFFIXES 0 "${ARROW_CONFIG_SUFFIX_PREFERRED}") +endif() + +if(NOT DEFINED ARROW_MSVC_STATIC_LIB_SUFFIX) + if(MSVC_TOOLCHAIN) + set(ARROW_MSVC_STATIC_LIB_SUFFIX "_static") + else() + set(ARROW_MSVC_STATIC_LIB_SUFFIX "") + endif() +endif() + +# Internal function. +# +# Set shared library name for ${base_name} to ${output_variable}. +# +# Example: +# arrow_build_shared_library_name(ARROW_SHARED_LIBRARY_NAME arrow) +# # -> ARROW_SHARED_LIBRARY_NAME=libarrow.so on Linux +# # -> ARROW_SHARED_LIBRARY_NAME=libarrow.dylib on macOS +# # -> ARROW_SHARED_LIBRARY_NAME=arrow.dll with MSVC on Windows +# # -> ARROW_SHARED_LIBRARY_NAME=libarrow.dll with MinGW on Windows +function(arrow_build_shared_library_name output_variable base_name) + set(${output_variable} + "${CMAKE_SHARED_LIBRARY_PREFIX}${base_name}${CMAKE_SHARED_LIBRARY_SUFFIX}" + PARENT_SCOPE) +endfunction() + +# Internal function. +# +# Set import library name for ${base_name} to ${output_variable}. +# This is useful only for MSVC build. Import library is used only +# with MSVC build. +# +# Example: +# arrow_build_import_library_name(ARROW_IMPORT_LIBRARY_NAME arrow) +# # -> ARROW_IMPORT_LIBRARY_NAME=arrow on Linux (meaningless) +# # -> ARROW_IMPORT_LIBRARY_NAME=arrow on macOS (meaningless) +# # -> ARROW_IMPORT_LIBRARY_NAME=arrow.lib with MSVC on Windows +# # -> ARROW_IMPORT_LIBRARY_NAME=libarrow.dll.a with MinGW on Windows +function(arrow_build_import_library_name output_variable base_name) + set(${output_variable} + "${CMAKE_IMPORT_LIBRARY_PREFIX}${base_name}${CMAKE_IMPORT_LIBRARY_SUFFIX}" + PARENT_SCOPE) +endfunction() + +# Internal function. +# +# Set static library name for ${base_name} to ${output_variable}. +# +# Example: +# arrow_build_static_library_name(ARROW_STATIC_LIBRARY_NAME arrow) +# # -> ARROW_STATIC_LIBRARY_NAME=libarrow.a on Linux +# # -> ARROW_STATIC_LIBRARY_NAME=libarrow.a on macOS +# # -> ARROW_STATIC_LIBRARY_NAME=arrow.lib with MSVC on Windows +# # -> ARROW_STATIC_LIBRARY_NAME=libarrow.dll.a with MinGW on Windows +function(arrow_build_static_library_name output_variable base_name) + set(${output_variable} + "${CMAKE_STATIC_LIBRARY_PREFIX}${base_name}${ARROW_MSVC_STATIC_LIB_SUFFIX}${CMAKE_STATIC_LIBRARY_SUFFIX}" + PARENT_SCOPE) +endfunction() + +# Internal function. +# +# Set macro value for ${macro_name} in ${header_content} to ${output_variable}. +# +# Example: +# arrow_extract_macro_value(version_major +# "ARROW_VERSION_MAJOR" +# "#define ARROW_VERSION_MAJOR 1.0.0") +# # -> version_major=1.0.0 +function(arrow_extract_macro_value output_variable macro_name header_content) + string(REGEX MATCH "#define +${macro_name} +[^\r\n]+" macro_definition + "${header_content}") + string(REGEX REPLACE "^#define +${macro_name} +(.+)$" "\\1" macro_value + "${macro_definition}") + set(${output_variable} + "${macro_value}" + PARENT_SCOPE) +endfunction() + +# Internal macro only for arrow_find_package. +# +# Find package in HOME. +macro(arrow_find_package_home) + find_path(${prefix}_include_dir "${header_path}" + PATHS "${home}" + PATH_SUFFIXES "include" + NO_DEFAULT_PATH) + set(include_dir "${${prefix}_include_dir}") + set(${prefix}_INCLUDE_DIR + "${include_dir}" + PARENT_SCOPE) + + if(MSVC_TOOLCHAIN) + set(CMAKE_SHARED_LIBRARY_SUFFIXES_ORIGINAL ${CMAKE_FIND_LIBRARY_SUFFIXES}) + # .dll isn't found by find_library with MSVC because .dll isn't included in + # CMAKE_FIND_LIBRARY_SUFFIXES. + list(APPEND CMAKE_FIND_LIBRARY_SUFFIXES "${CMAKE_SHARED_LIBRARY_SUFFIX}") + endif() + find_library(${prefix}_shared_lib + NAMES "${shared_lib_name}" + PATHS "${home}" + PATH_SUFFIXES ${ARROW_SEARCH_LIB_PATH_SUFFIXES} + NO_DEFAULT_PATH) + if(MSVC_TOOLCHAIN) + set(CMAKE_SHARED_LIBRARY_SUFFIXES ${CMAKE_FIND_LIBRARY_SUFFIXES_ORIGINAL}) + endif() + set(shared_lib "${${prefix}_shared_lib}") + set(${prefix}_SHARED_LIB + "${shared_lib}" + PARENT_SCOPE) + if(shared_lib) + add_library(${target_shared} SHARED IMPORTED) + set_target_properties(${target_shared} PROPERTIES IMPORTED_LOCATION "${shared_lib}") + if(include_dir) + set_target_properties(${target_shared} PROPERTIES INTERFACE_INCLUDE_DIRECTORIES + "${include_dir}") + endif() + find_library(${prefix}_import_lib + NAMES "${import_lib_name}" + PATHS "${home}" + PATH_SUFFIXES ${ARROW_SEARCH_LIB_PATH_SUFFIXES} + NO_DEFAULT_PATH) + set(import_lib "${${prefix}_import_lib}") + set(${prefix}_IMPORT_LIB + "${import_lib}" + PARENT_SCOPE) + if(import_lib) + set_target_properties(${target_shared} PROPERTIES IMPORTED_IMPLIB "${import_lib}") + endif() + endif() + + find_library(${prefix}_static_lib + NAMES "${static_lib_name}" + PATHS "${home}" + PATH_SUFFIXES ${ARROW_SEARCH_LIB_PATH_SUFFIXES} + NO_DEFAULT_PATH) + set(static_lib "${${prefix}_static_lib}") + set(${prefix}_STATIC_LIB + "${static_lib}" + PARENT_SCOPE) + if(static_lib) + add_library(${target_static} STATIC IMPORTED) + set_target_properties(${target_static} PROPERTIES IMPORTED_LOCATION "${static_lib}") + if(include_dir) + set_target_properties(${target_static} PROPERTIES INTERFACE_INCLUDE_DIRECTORIES + "${include_dir}") + endif() + endif() +endmacro() + +# Internal macro only for arrow_find_package. +# +# Find package by CMake package configuration. +macro(arrow_find_package_cmake_package_configuration) + find_package(${cmake_package_name} CONFIG) + if(${cmake_package_name}_FOUND) + set(${prefix}_USE_CMAKE_PACKAGE_CONFIG + TRUE + PARENT_SCOPE) + if(TARGET ${target_shared}) + foreach(suffix ${ARROW_CONFIG_SUFFIXES}) + get_target_property(shared_lib ${target_shared} IMPORTED_LOCATION${suffix}) + if(shared_lib) + # Remove shared library version: + # libarrow.so.100.0.0 -> libarrow.so + # Because ARROW_HOME and pkg-config approaches don't add + # shared library version. + string(REGEX REPLACE "(${CMAKE_SHARED_LIBRARY_SUFFIX})[.0-9]+$" "\\1" + shared_lib "${shared_lib}") + set(${prefix}_SHARED_LIB + "${shared_lib}" + PARENT_SCOPE) + break() + endif() + endforeach() + endif() + if(TARGET ${target_static}) + foreach(suffix ${ARROW_CONFIG_SUFFIXES}) + get_target_property(static_lib ${target_static} IMPORTED_LOCATION${suffix}) + if(static_lib) + set(${prefix}_STATIC_LIB + "${static_lib}" + PARENT_SCOPE) + break() + endif() + endforeach() + endif() + endif() +endmacro() + +# Internal macro only for arrow_find_package. +# +# Find package by pkg-config. +macro(arrow_find_package_pkg_config) + pkg_check_modules(${prefix}_PC ${pkg_config_name}) + if(${prefix}_PC_FOUND) + set(${prefix}_USE_PKG_CONFIG + TRUE + PARENT_SCOPE) + + set(include_dir "${${prefix}_PC_INCLUDEDIR}") + set(lib_dir "${${prefix}_PC_LIBDIR}") + set(shared_lib_paths "${${prefix}_PC_LINK_LIBRARIES}") + # Use the first shared library path as the IMPORTED_LOCATION + # for ${target_shared}. This assumes that the first shared library + # path is the shared library path for this module. + list(GET shared_lib_paths 0 first_shared_lib_path) + # Use the rest shared library paths as the INTERFACE_LINK_LIBRARIES + # for ${target_shared}. This assumes that the rest shared library + # paths are dependency library paths for this module. + list(LENGTH shared_lib_paths n_shared_lib_paths) + if(n_shared_lib_paths LESS_EQUAL 1) + set(rest_shared_lib_paths) + else() + list(SUBLIST + shared_lib_paths + 1 + -1 + rest_shared_lib_paths) + endif() + + set(${prefix}_VERSION + "${${prefix}_PC_VERSION}" + PARENT_SCOPE) + set(${prefix}_INCLUDE_DIR + "${include_dir}" + PARENT_SCOPE) + set(${prefix}_SHARED_LIB + "${first_shared_lib_path}" + PARENT_SCOPE) + + add_library(${target_shared} SHARED IMPORTED) + set_target_properties(${target_shared} + PROPERTIES INTERFACE_INCLUDE_DIRECTORIES "${include_dir}" + INTERFACE_LINK_LIBRARIES "${rest_shared_lib_paths}" + IMPORTED_LOCATION "${first_shared_lib_path}") + get_target_property(shared_lib ${target_shared} IMPORTED_LOCATION) + + find_library(${prefix}_static_lib + NAMES "${static_lib_name}" + PATHS "${lib_dir}" + NO_DEFAULT_PATH) + set(static_lib "${${prefix}_static_lib}") + set(${prefix}_STATIC_LIB + "${static_lib}" + PARENT_SCOPE) + if(static_lib) + add_library(${target_static} STATIC IMPORTED) + set_target_properties(${target_static} + PROPERTIES INTERFACE_INCLUDE_DIRECTORIES "${include_dir}" + IMPORTED_LOCATION "${static_lib}") + endif() + endif() +endmacro() + +function(arrow_find_package + prefix + home + base_name + header_path + cmake_package_name + pkg_config_name) + arrow_build_shared_library_name(shared_lib_name ${base_name}) + arrow_build_import_library_name(import_lib_name ${base_name}) + arrow_build_static_library_name(static_lib_name ${base_name}) + + set(target_shared ${base_name}_shared) + set(target_static ${base_name}_static) + + if(home) + arrow_find_package_home() + set(${prefix}_FIND_APPROACH + "HOME: ${home}" + PARENT_SCOPE) + else() + arrow_find_package_cmake_package_configuration() + if(${cmake_package_name}_FOUND) + set(${prefix}_FIND_APPROACH + "CMake package configuration: ${cmake_package_name}" + PARENT_SCOPE) + else() + arrow_find_package_pkg_config() + set(${prefix}_FIND_APPROACH + "pkg-config: ${pkg_config_name}" + PARENT_SCOPE) + endif() + endif() + + if(NOT include_dir) + if(TARGET ${target_shared}) + get_target_property(include_dir ${target_shared} INTERFACE_INCLUDE_DIRECTORIES) + elseif(TARGET ${target_static}) + get_target_property(include_dir ${target_static} INTERFACE_INCLUDE_DIRECTORIES) + endif() + endif() + if(include_dir) + set(${prefix}_INCLUDE_DIR + "${include_dir}" + PARENT_SCOPE) + endif() + + if(shared_lib) + get_filename_component(lib_dir "${shared_lib}" DIRECTORY) + elseif(static_lib) + get_filename_component(lib_dir "${static_lib}" DIRECTORY) + else() + set(lib_dir NOTFOUND) + endif() + set(${prefix}_LIB_DIR + "${lib_dir}" + PARENT_SCOPE) + # For backward compatibility + set(${prefix}_LIBS + "${lib_dir}" + PARENT_SCOPE) +endfunction() + +if(NOT "$ENV{ARROW_HOME}" STREQUAL "") + file(TO_CMAKE_PATH "$ENV{ARROW_HOME}" ARROW_HOME) +endif() +arrow_find_package(ARROW + "${ARROW_HOME}" + arrow + arrow/api.h + Arrow + arrow) + +if(ARROW_HOME) + if(ARROW_INCLUDE_DIR) + file(READ "${ARROW_INCLUDE_DIR}/arrow/util/config.h" ARROW_CONFIG_H_CONTENT) + arrow_extract_macro_value(ARROW_VERSION_MAJOR "ARROW_VERSION_MAJOR" + "${ARROW_CONFIG_H_CONTENT}") + arrow_extract_macro_value(ARROW_VERSION_MINOR "ARROW_VERSION_MINOR" + "${ARROW_CONFIG_H_CONTENT}") + arrow_extract_macro_value(ARROW_VERSION_PATCH "ARROW_VERSION_PATCH" + "${ARROW_CONFIG_H_CONTENT}") + if("${ARROW_VERSION_MAJOR}" STREQUAL "" + OR "${ARROW_VERSION_MINOR}" STREQUAL "" + OR "${ARROW_VERSION_PATCH}" STREQUAL "") + set(ARROW_VERSION "0.0.0") + else() + set(ARROW_VERSION + "${ARROW_VERSION_MAJOR}.${ARROW_VERSION_MINOR}.${ARROW_VERSION_PATCH}") + endif() + + arrow_extract_macro_value(ARROW_SO_VERSION_QUOTED "ARROW_SO_VERSION" + "${ARROW_CONFIG_H_CONTENT}") + string(REGEX REPLACE "^\"(.+)\"$" "\\1" ARROW_SO_VERSION "${ARROW_SO_VERSION_QUOTED}") + arrow_extract_macro_value(ARROW_FULL_SO_VERSION_QUOTED "ARROW_FULL_SO_VERSION" + "${ARROW_CONFIG_H_CONTENT}") + string(REGEX REPLACE "^\"(.+)\"$" "\\1" ARROW_FULL_SO_VERSION + "${ARROW_FULL_SO_VERSION_QUOTED}") + endif() +else() + if(ARROW_USE_CMAKE_PACKAGE_CONFIG) + find_package(Arrow CONFIG) + elseif(ARROW_USE_PKG_CONFIG) + pkg_get_variable(ARROW_SO_VERSION arrow so_version) + pkg_get_variable(ARROW_FULL_SO_VERSION arrow full_so_version) + endif() +endif() + +set(ARROW_ABI_VERSION ${ARROW_SO_VERSION}) + +mark_as_advanced(ARROW_ABI_VERSION + ARROW_CONFIG_SUFFIXES + ARROW_FULL_SO_VERSION + ARROW_IMPORT_LIB + ARROW_INCLUDE_DIR + ARROW_LIBS + ARROW_LIB_DIR + ARROW_SEARCH_LIB_PATH_SUFFIXES + ARROW_SHARED_IMP_LIB + ARROW_SHARED_LIB + ARROW_SO_VERSION + ARROW_STATIC_LIB + ARROW_VERSION + ARROW_VERSION_MAJOR + ARROW_VERSION_MINOR + ARROW_VERSION_PATCH) + +find_package_handle_standard_args( + Arrow + REQUIRED_VARS # The first required variable is shown + # in the found message. So this list is + # not sorted alphabetically. + ARROW_INCLUDE_DIR ARROW_LIB_DIR ARROW_FULL_SO_VERSION ARROW_SO_VERSION + VERSION_VAR ARROW_VERSION) +set(ARROW_FOUND ${Arrow_FOUND}) + +if(Arrow_FOUND AND NOT Arrow_FIND_QUIETLY) + message(STATUS "Arrow version: ${ARROW_VERSION} (${ARROW_FIND_APPROACH})") + message(STATUS "Arrow SO and ABI version: ${ARROW_SO_VERSION}") + message(STATUS "Arrow full SO version: ${ARROW_FULL_SO_VERSION}") + message(STATUS "Found the Arrow core shared library: ${ARROW_SHARED_LIB}") + message(STATUS "Found the Arrow core import library: ${ARROW_IMPORT_LIB}") + message(STATUS "Found the Arrow core static library: ${ARROW_STATIC_LIB}") +endif() + + +if (Arrow_FOUND) + if (NOT TARGET arrow::arrow) + add_library(arrow::arrow UNKNOWN IMPORTED) + set_target_properties(arrow::arrow PROPERTIES + INTERFACE_INCLUDE_DIRECTORIES "${ARROW_INCLUDE_DIR}") + + set_property(TARGET arrow::arrow APPEND PROPERTY + IMPORTED_LOCATION "${ARROW_SHARED_LIB}") + endif() +endif() \ No newline at end of file diff --git a/cmake/Findzstd.cmake b/cmake/Findzstd.cmake new file mode 100644 index 0000000..59ec7e6 --- /dev/null +++ b/cmake/Findzstd.cmake @@ -0,0 +1,75 @@ +find_path(ZSTD_INCLUDE_DIR + NAMES zstd.h + PATHS + ${CONAN_INCLUDE_DIRS_RELEASE} + ${CONAN_INCLUDE_DIRS_DEBUG} +) + +set(ZSTD_NAMES zstd zstd_static) +set(ZSTD_NAMES_DEBUG zstdd zstd_staticd) + +find_library(ZSTD_LIBRARY_RELEASE + NAMES ${ZSTD_NAMES} + PATHS ${CONAN_LIB_DIRS_RELEASE} +) +find_library(ZSTD_LIBRARY_DEBUG + NAMES + ${ZSTD_NAMES_DEBUG} + ${ZSTD_NAMES} + PATHS ${CONAN_LIB_DIRS_DEBUG} +) + +include(SelectLibraryConfigurations) +select_library_configurations(ZSTD) + +if(ZSTD_INCLUDE_DIR AND EXISTS "${ZSTD_INCLUDE_DIR}/zstd.h") + file(STRINGS "${ZSTD_INCLUDE_DIR}/zstd.h" ZSTD_VERSION_MAJOR_LINE REGEX "^#define ZSTD_VERSION_MAJOR.*$") + file(STRINGS "${ZSTD_INCLUDE_DIR}/zstd.h" ZSTD_VERSION_MINOR_LINE REGEX "^#define ZSTD_VERSION_MINOR.*$") + file(STRINGS "${ZSTD_INCLUDE_DIR}/zstd.h" ZSTD_VERSION_RELEASE_LINE REGEX "^#define ZSTD_VERSION_RELEASE.*$") + + string(REGEX REPLACE "^.*ZSTD_VERSION_MAJOR *([0-9]+)$" "\\1" ZSTD_VERSION_MAJOR "${ZSTD_VERSION_MAJOR_LINE}") + string(REGEX REPLACE "^.*ZSTD_VERSION_MINOR *([0-9]+)$" "\\1" ZSTD_VERSION_MINOR "${ZSTD_VERSION_MINOR_LINE}") + string(REGEX REPLACE "^.*ZSTD_VERSION_RELEASE *([0-9]+)$" "\\1" ZSTD_VERSION_RELEASE "${ZSTD_VERSION_RELEASE_LINE}") + + set(ZSTD_VERSION_STRING "${ZSTD_VERSION_MAJOR}.${ZSTD_VERSION_MINOR}.${ZSTD_VERSION_RELEASE}") +endif() + +# handle the QUIETLY and REQUIRED arguments and set ZLIB_FOUND to TRUE if +# all listed variables are TRUE +include(FindPackageHandleStandardArgs) +find_package_handle_standard_args(zstd REQUIRED_VARS ZSTD_LIBRARY ZSTD_INCLUDE_DIR + VERSION_VAR ZSTD_VERSION_STRING) + + +if (ZSTD_FOUND) + set(ZSTD_INCLUDE_DIRS ${ZSTD_INCLUDE_DIR}) + + if (NOT ZSTD_LIBRARIES) + set(ZSTD_LIBRARIES ${ZSTD_LIBRARY}) + endif() + + if (NOT TARGET zstd::zstd) + add_library(zstd::zstd UNKNOWN IMPORTED) + set_target_properties(zstd::zstd PROPERTIES + INTERFACE_INCLUDE_DIRECTORIES "${ZSTD_INCLUDE_DIRS}") + + if(ZSTD_LIBRARY_RELEASE) + set_property(TARGET zstd::zstd APPEND PROPERTY + IMPORTED_CONFIGURATIONS RELEASE) + set_target_properties(zstd::zstd PROPERTIES + IMPORTED_LOCATION_RELEASE "${ZSTD_LIBRARY_RELEASE}") + endif() + + if(ZSTD_LIBRARY_DEBUG) + set_property(TARGET zstd::zstd APPEND PROPERTY + IMPORTED_CONFIGURATIONS DEBUG) + set_target_properties(zstd::zstd PROPERTIES + IMPORTED_LOCATION_DEBUG "${ZSTD_LIBRARY_DEBUG}") + endif() + + if(NOT ZSTD_LIBRARY_RELEASE AND NOT ZSTD_LIBRARY_DEBUG) + set_property(TARGET zstd::zstd APPEND PROPERTY + IMPORTED_LOCATION "${ZSTD_LIBRARY}") + endif() + endif() +endif() \ No newline at end of file diff --git a/python/README.md b/python/README.md index 9d60e72..e5ab469 100644 --- a/python/README.md +++ b/python/README.md @@ -1,31 +1,4 @@ MKR Format ========== -Python bindings for the MKR file format. - -Tools ------ - -### Installing - -You can install the tools using the wheel: - -```bash -> pip install ./mkr-format*.whl -``` - -### mkr-convert-fast5 - -Generate an mkr file from a set of input fast5 files: - -```bash -> mkr-convert-fast5 input_fast5_1.fast5 input_fast5_2.fast5 output_mkr_file.mkr -``` - -### mkr-inspect - -Inspect an mkr file to extract details about the contents: - -```bash -> mkr-inspect mkr_file.mkr -``` \ No newline at end of file +Python bindings for the MKR file format. \ No newline at end of file diff --git a/python/mkr_format/examples/find_all_reads.py b/python/mkr_format/examples/find_all_reads.py new file mode 100644 index 0000000..678f615 --- /dev/null +++ b/python/mkr_format/examples/find_all_reads.py @@ -0,0 +1,134 @@ +#!/usr/bin/python3 + +import argparse +import multiprocessing as mp +from pathlib import Path +from queue import Empty +from uuid import UUID + +import numpy +import pandas as pd + +import mkr_format + + +def select_reads(file, selection): + if selection is not None: + return file.select_reads(UUID(s) for s in selection) + else: + return file.reads() + + +def process_read(get_columns, read, read_ids, extracted_columns): + read_ids.append(read.read_id) + + for c in get_columns: + if not c in extracted_columns: + extracted_columns[c] = [] + col = extracted_columns[c] + if c == "samples": + col.append(numpy.sum(read.signal)) + else: + col.append(getattr(read, c)) + + +def do_batch_work(filename, batches, get_columns, c_api, result_q): + read_ids = [] + extracted_columns = {"read_id": read_ids} + + file = mkr_format.open_combined_file(filename, use_c_api=c_api) + for batch in batches: + for read in file.get_batch(batch).reads(): + process_read(get_columns, read, read_ids, extracted_columns) + + result_q.put(pd.DataFrame(extracted_columns)) + + +def do_search_work(files, select_read_ids, get_columns, c_api, result_q): + read_ids = [] + extracted_columns = {"read_id": read_ids} + for file in files: + file = mkr_format.open_combined_file(file, use_c_api=c_api) + + for read in file.select_reads(UUID(s) for s in select_read_ids): + process_read(get_columns, read, read_ids, extracted_columns) + + result_q.put(pd.DataFrame(extracted_columns)) + + +def run(input_dir, output, select_read_ids=None, get_columns=[], c_api=False): + output.mkdir(parents=True, exist_ok=True) + + mp.set_start_method("spawn") + + if select_read_ids is not None: + print(f"Selecting {len(select_read_ids)} specific read ids") + if get_columns is not None: + print(f"Selecting columns: {get_columns}") + + result_queue = mp.Queue() + runners = 10 + + print(f"Search for input files in {input_dir}") + files = list(input_dir.glob("*.mkr")) + print(f"Searching for read ids in {[str(f) for f in files]}") + + processes = [] + if select_read_ids is not None: + approx_chunk_size = max(1, len(select_read_ids) // runners) + start_index = 0 + while start_index < len(select_read_ids): + select_ids = select_read_ids[start_index : start_index + approx_chunk_size] + p = mp.Process( + target=do_search_work, + args=(files, select_ids, get_columns, c_api, result_queue), + ) + p.start() + processes.append(p) + start_index += len(select_ids) + else: + for filename in files: + file = mkr_format.open_combined_file(filename, use_c_api=c_api) + batches = list(range(file.batch_count)) + approx_chunk_size = max(1, len(batches) // runners) + start_index = 0 + while start_index < len(batches): + select_batches = batches[start_index : start_index + approx_chunk_size] + p = mp.Process( + target=do_batch_work, + args=(filename, select_batches, get_columns, c_api, result_queue), + ) + p.start() + processes.append(p) + start_index += len(select_batches) + + print("Wait for processes...") + items = [] + while len(items) < len(processes): + try: + item = result_queue.get(timeout=0.5) + items.append(item) + except Empty: + continue + + for p in processes: + p.join() + + df = pd.concat(items) + print(f"Selected {len(df)} items") + df.to_csv(output / "read_ids.csv", index=False) + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument("input", type=Path) + args = parser.parse_args() + + file = mkr_format.open_combined_file(args.input) + for read in file.reads(): + print(f"Found read {read.read_id}") + print(f" Read has {read.sample_count} samples") + + +if __name__ == "__main__": + main() From c4a40bdaabf204795b344533677b956f691a819a Mon Sep 17 00:00:00 2001 From: George Pimm Date: Wed, 4 May 2022 13:10:21 +0100 Subject: [PATCH 22/28] tidy up windows build --- .gitlab-ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 2762c6e..8c40c69 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -109,7 +109,7 @@ win-x64-msvc2017-release-build: variables: CONAN_PROFILE: "windows-x86_64-vs2017-release" OUTPUT_SKU: "win-x64" - CMAKE_ARGS: "-A x64 -G \"Visual Studio 15 2017\"" + CMAKE_ARGS: -A x64 -G "Visual Studio 15 2017" wheel-build: stage: build-python From 7c8d2d5553db6cc937e7401a1330eb21bd0576ba Mon Sep 17 00:00:00 2001 From: George Pimm Date: Wed, 4 May 2022 13:13:42 +0100 Subject: [PATCH 23/28] build improvements --- .gitlab-ci.yml | 24 +- README.md | 21 +- c++/mkr_format/file_reader.cpp | 3 +- python/mkr_format/pyarrow_reader.py | 178 ------------ python/mkr_format/reader.py | 402 +++------------------------- 5 files changed, 60 insertions(+), 568 deletions(-) delete mode 100644 python/mkr_format/pyarrow_reader.py diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 8c40c69..dd279fc 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -41,14 +41,14 @@ build-standalone-ubu20: stage: build image: ubuntu:20.04 script: + - apt update - apt install -y -V ca-certificates lsb-release wget - wget https://apache.jfrog.io/artifactory/arrow/$(lsb_release --id --short | tr 'A-Z' 'a-z')/apache-arrow-apt-source-latest-$(lsb_release --codename --short).deb - apt install -y -V ./apache-arrow-apt-source-latest-$(lsb_release --codename --short).deb - apt update - - apt install cmake libzstd-dev libzstd-dev libboost-dev libboost-filesystem-dev libflatbuffers-dev + - apt install -y cmake build-essential libzstd-dev libzstd-dev libboost-dev libboost-filesystem-dev libflatbuffers-dev - mkdir build - cd build - - conan install .. # Optional step, but the source requires the libraries are available on the system in a way cmake can find them. - cmake .. - make -j @@ -59,12 +59,12 @@ build-standalone-ubu20: - mkdir build - cd build - conan install --profile ${CONAN_PROFILE} .. - - cmake ${CMAKE_ARGS} -DCMAKE_BUILD_TYPE=Release .. - - cmake --build . --config Release -DUSE_CONAN=ON + - cmake ${CMAKE_ARGS} -DCMAKE_BUILD_TYPE=Release -DUSE_CONAN=ON .. + - cmake --build . --config Release - ctest -C Release -VV - cmake -DCMAKE_INSTALL_PREFIX="archive" -DBUILD_TYPE="Release" -P "cmake_install.cmake" - cd ./archive - - tar -czf ../mkr-file-format-{mkr_version}-${OUTPUT_SKU}.tar.gz . + - tar -czf ../mkr-file-format-${mkr_version}-${OUTPUT_SKU}.tar.gz . artifacts: paths: - build/mkr-file-format*.tar.gz @@ -106,10 +106,20 @@ win-x64-msvc2017-release-build: - cmake - VS2017 - conan + script: + - mkr_version="$(cmake -P ci/get_tag_version.cmake 2>&1)" + - mkdir build + - cd build + - conan install --profile ${CONAN_PROFILE} .. + - cmake -A x64 -G "Visual Studio 15 2017" -DCMAKE_BUILD_TYPE=Release -DUSE_CONAN=ON .. + - cmake --build . --config Release + - ctest -C Release -VV + - cmake -DCMAKE_INSTALL_PREFIX="archive" -DBUILD_TYPE="Release" -P "cmake_install.cmake" + - cd ./archive + - tar -czf ../mkr-file-format-{mkr_version}-${OUTPUT_SKU}.tar.gz . variables: CONAN_PROFILE: "windows-x86_64-vs2017-release" OUTPUT_SKU: "win-x64" - CMAKE_ARGS: -A x64 -G "Visual Studio 15 2017" wheel-build: stage: build-python @@ -129,7 +139,7 @@ wheel-build: - conan install --profile linux-aarch64-gcc9-release .. - apt update - apt install -y cmake - - cmake .. + - cmake -DUSE_CONAN=ON .. - cd .. - ci/unpack_libs_for_python.sh ./build ./python/mkr_format/libs - mkdir wheels diff --git a/README.md b/README.md index fcfac1b..cc3c8e2 100644 --- a/README.md +++ b/README.md @@ -60,24 +60,6 @@ Building the project requires several tools and libraries are available: - Boost - Flatbuffers -```bash -> mkdir build -> cd build -> conan install .. # Optional step, but the source requires the libraries are available on the system in a way cmake can find them. -> cmake .. -``` - - -### Developing using conan - -Building the project requires several tools and libraries are available: - -- CMake -- Arrow -- Zstd -- Boost -- Flatbuffers - ```bash # Docs on installing arrow from here: https://arrow.apache.org/install/ > sudo apt install -y -V ca-certificates lsb-release wget @@ -85,11 +67,10 @@ Building the project requires several tools and libraries are available: > sudo apt install -y -V ./apache-arrow-apt-source-latest-$(lsb_release --codename --short).deb > sudo apt update # Now install the rest of the dependencies: -> sudo apt install cmake libzstd-dev libzstd-dev libboost-dev libflatbuffers-dev +> sudo apt install cmake libzstd-dev libzstd-dev libboost-dev libboost-filesystem-dev libflatbuffers-dev # Finally start build of MKR: > mkdir build > cd build -> conan install .. # Optional step, but the source requires the libraries are available on the system in a way cmake can find them. > cmake .. > make -j ``` diff --git a/c++/mkr_format/file_reader.cpp b/c++/mkr_format/file_reader.cpp index ba706e2..1812409 100644 --- a/c++/mkr_format/file_reader.cpp +++ b/c++/mkr_format/file_reader.cpp @@ -135,7 +135,8 @@ mkr::Result> open_combined_file_reader( return Status::Invalid("Invalid memory pool specified for file writer"); } - ARROW_ASSIGN_OR_RAISE(auto file, arrow::io::ReadableFile::Open(path.string(), pool)); + ARROW_ASSIGN_OR_RAISE( + auto file, arrow::io::MemoryMappedFile::Open(path.string(), arrow::io::FileMode::READ)); ARROW_ASSIGN_OR_RAISE(auto parsed_footer_metadata, combined_file_utils::read_footer(file)); diff --git a/python/mkr_format/pyarrow_reader.py b/python/mkr_format/pyarrow_reader.py deleted file mode 100644 index 4a0d983..0000000 --- a/python/mkr_format/pyarrow_reader.py +++ /dev/null @@ -1,178 +0,0 @@ -from datetime import datetime -from uuid import UUID - -import numpy -import pyarrow as pa - -from .signal_tools import vbz_decompress_signal -from .reader_utils import ( - PoreData, - CalibrationData, - EndReasonData, - RunInfoData, - SignalRowInfo, -) - - -class ReadRowPyArrow: - """ - Represents the data for a single read. - """ - - def __init__(self, reader, batch, row): - self._reader = reader - self._batch = batch - self._row = row - - @property - def read_id(self): - return UUID(bytes=self._batch.column("read_id")[self._row].as_py()) - - @property - def read_number(self): - return self._batch.column("read_number")[self._row].as_py() - - @property - def start_sample(self): - return self._batch.column("start")[self._row].as_py() - - @property - def median_before(self): - return self._batch.column("median_before")[self._row].as_py() - - @property - def pore(self): - return PoreData(**self._batch.column("pore")[self._row].as_py()) - - @property - def calibration(self): - return CalibrationData(**self._batch.column("calibration")[self._row].as_py()) - - @property - def end_reason(self): - return EndReasonData(**self._batch.column("end_reason")[self._row].as_py()) - - @property - def run_info(self): - val = self._batch.column("run_info")[self._row] - return RunInfoData(**self._batch.column("run_info")[self._row].as_py()) - - @property - def sample_count(self): - return sum(r.sample_count for r in self.signal_rows) - - @property - def byte_count(self): - return sum(r.byte_count for r in self.signal_rows) - - @property - def signal(self): - output = [] - for r in self._batch.column("signal")[self._row]: - output.append(self._get_signal_for_row(r.as_py())) - - return numpy.concatenate(output) - - def signal_for_chunk(self, i): - output = [] - chunk_abs_row_index = self._batch.column("signal")[self._row][i] - return self._get_signal_for_row(chunk_abs_row_index.as_py()) - - @property - def signal_rows(self): - def map_signal_row(sig_row): - sig_row = sig_row.as_py() - - batch, batch_index, batch_row_index = self._find_signal_row_index(sig_row) - return SignalRowInfo( - batch_index, - batch_row_index, - batch.column("samples")[batch_row_index].as_py(), - len(batch.column("signal")[batch_row_index].as_buffer()), - ) - - return [map_signal_row(r) for r in self._batch.column("signal")[self._row]] - - def _find_signal_row_index(self, signal_row): - """ - Map from a signal_row to a batch, batch index and row index within that batch. - """ - sig_row_count = self._reader._signal_batch_row_count - sig_batch_idx = signal_row // sig_row_count - sig_batch = self._reader._signal_reader.reader.get_record_batch(sig_batch_idx) - batch_row_idx = signal_row - (sig_batch_idx * sig_row_count) - - return ( - sig_batch, - signal_row // sig_row_count, - signal_row - (sig_batch_idx * sig_row_count), - ) - - def _get_signal_for_row(self, r): - batch, batch_index, batch_row_index = self._find_signal_row_index(r) - - signal = batch.column("signal") - if isinstance(signal, pa.lib.LargeBinaryArray): - sample_count = batch.column("samples")[batch_row_index].as_py() - output = numpy.empty(sample_count, dtype=numpy.uint8) - compressed_signal = signal[batch_row_index].as_py() - return vbz_decompress_signal(compressed_signal, sample_count) - else: - return signal.to_numpy() - - -class ReadBatchPyArrow: - """ - Read data for a batch of reads. - """ - - def __init__(self, reader, batch): - self._reader = reader - self._batch = batch - - def reads(self): - for i in range(self._batch.num_rows): - yield ReadRowPyArrow(self._reader, self._batch, i) - - -class FileReader: - """ - A reader for MKR data, opened using [open_combined_file], [open_split_file]. - """ - - def __init__(self, reader, read_reader, signal_reader): - self._reader = reader - self._read_reader = read_reader - self._signal_reader = signal_reader - - if self._signal_reader.reader.num_record_batches > 0: - self._signal_batch_row_count = self._signal_reader.reader.get_record_batch( - 0 - ).num_rows - - def __enter__(self): - return self - - def __exit__(self, type, value, traceback): - pass - - @property - def batch_count(self): - return self._read_reader.reader.num_record_batches - - def get_batch(self, i): - return ReadBatchPyArrow(self, self._read_reader.reader.get_record_batch(i)) - - def read_batches(self): - for i in range(self._read_reader.reader.num_record_batches): - yield self.get_batch(i) - - def reads(self): - for batch in self.read_batches(): - for read in batch.reads(): - yield read - - def select_reads(self, selection): - search_selection = set(selection) - - return filter(lambda x: x.read_id in search_selection, self.reads()) diff --git a/python/mkr_format/reader.py b/python/mkr_format/reader.py index 8b0f6fa..e1714da 100644 --- a/python/mkr_format/reader.py +++ b/python/mkr_format/reader.py @@ -14,7 +14,8 @@ import pyarrow as pa from . import c_api -from . import pyarrow_reader +from . import reader_c_api +from . import reader_pyarrow from .api_utils import check_error from .utils import make_split_filename from .reader_utils import ( @@ -26,366 +27,11 @@ ) -def _parse_map(key_value_pairs: c_api.KeyValueData) -> typing.Dict[str, str]: - """ - Parse a ctypes dict KeyValueData struct into a dict. - """ - out = [] - for i in range(key_value_pairs.size): - out.append( - ( - key_value_pairs.keys[i].decode("utf-8"), - key_value_pairs.values[i].decode("utf-8"), - ) - ) - return out - - -class ReadRowCApi: - """ - Represents the data for a single read. - """ - - def __init__(self, reader, batch, row): - self._reader = reader - self._batch = batch - self._row = row - self._read_id = None - self._pore_idx = None - self._calibration_idx = None - self._read_number = None - self._start_sample = None - self._median_before = None - self._end_reason_idx = None - self._run_info_idx = None - self._signal_row_count = None - self._signal_row_info = None - self._signal_rows = None - self._pore = None - self._calibration = None - self._end_reason = None - self._run_info = None - - def __del__(self): - if self._signal_row_info: - check_error( - c_api.mkr_free_signal_row_info( - self._signal_row_count, self._signal_row_info - ) - ) - - def cache_data(self): - read_id = (ctypes.c_ubyte * 16)() - pore_idx = ctypes.c_short() - calibration_idx = ctypes.c_short() - read_number = ctypes.c_uint() - start_sample = ctypes.c_ulonglong() - median_before = ctypes.c_float() - end_reason_idx = ctypes.c_short() - run_info_idx = ctypes.c_short() - signal_row_count = ctypes.c_longlong() - - check_error( - c_api.mkr_get_read_batch_row_info( - self._batch, - self._row, - read_id, - ctypes.byref(pore_idx), - ctypes.byref(calibration_idx), - ctypes.byref(read_number), - ctypes.byref(start_sample), - ctypes.byref(median_before), - ctypes.byref(end_reason_idx), - ctypes.byref(run_info_idx), - ctypes.byref(signal_row_count), - ) - ) - - self._read_id = UUID(bytes=bytes(read_id)) - self._pore_idx = pore_idx.value - self._calibration_idx = calibration_idx.value - self._read_number = read_number.value - self._start_sample = start_sample.value - self._median_before = median_before.value - self._end_reason_idx = end_reason_idx.value - self._calibration_idx = calibration_idx.value - self._run_info_idx = run_info_idx.value - self._signal_row_count = signal_row_count.value - - def cache_signal_row_data(self): - if not self._signal_row_count: - self.cache_data() - - signal_rows = (ctypes.c_ulonglong * self._signal_row_count)() - - check_error( - c_api.mkr_get_signal_row_indices( - self._batch, self._row, self._signal_row_count, signal_rows - ) - ) - - self._signal_row_info = ( - ctypes.POINTER(c_api.SignalRowInfo) * self._signal_row_count - )() - - self._signal_rows = [] - check_error( - c_api.mkr_get_signal_row_info( - self._reader, self._signal_row_count, signal_rows, self._signal_row_info - ) - ) - - self._signal_rows = [] - for i in range(self._signal_row_count): - item = self._signal_row_info[i].contents - self._signal_rows.append( - SignalRowInfo( - item.batch_index, - item.batch_row_index, - item.stored_sample_count, - item.stored_byte_count, - ) - ) - - @property - def read_id(self): - if not self._read_id: - self.cache_data() - return self._read_id - - @property - def read_number(self): - if not self._read_number: - self.cache_data() - return self._read_number - - @property - def start_sample(self): - if not self._start_sample: - self.cache_data() - return self._start_sample - - @property - def median_before(self): - if not self._median_before: - self.cache_data() - return self._median_before - - @property - def signal_row_count(self): - if not self._signal_row_count: - self.cache_data() - return self._signal_row_count - - @property - def signal_rows(self): - if not self._signal_rows: - self.cache_signal_row_data() - return self._signal_rows - - @property - def sample_count(self): - return sum(r.sample_count for r in self.signal_rows) - - @property - def byte_count(self): - return sum(r.byte_count for r in self.signal_rows) - - @property - def signal(self): - if not self._signal_rows: - self.cache_signal_row_data() - output = numpy.empty(self.sample_count, dtype=numpy.int16) - - start = 0 - for row in self._signal_row_info: - sample_count = row.contents.stored_sample_count - check_error( - c_api.mkr_get_signal( - self._reader, - row, - sample_count, - output[start:].ctypes.data_as(ctypes.POINTER(ctypes.c_short)), - ) - ) - start += sample_count - return output - - def signal_for_chunk(self, i): - if not self._signal_rows: - self.cache_signal_row_data() - - row = self._signal_row_info[i] - sample_count = row.contents.stored_sample_count - output = numpy.empty(self.sample_count, dtype=numpy.int16) - check_error( - c_api.mkr_get_signal( - self._reader, - row, - sample_count, - output.ctypes.data_as(ctypes.POINTER(ctypes.c_short)), - ) - ) - return output - - def _cache_dict_data( - self, index, data_type, c_api_type, get, release, map_fields=None - ): - data_ptr = ctypes.POINTER(c_api_type)() - check_error(get(self._batch, index, ctypes.byref(data_ptr))) - - def get_field(data, name, map_fields): - val = getattr(data, name) - if isinstance(val, bytes): - val = val.decode("utf-8") - elif isinstance(val, c_api.KeyValueData): - val = _parse_map(val) - - if map_fields and name in map_fields: - val = map_fields[name](val) - - return val - - data = data_ptr.contents - tuple_data = data_type( - *[get_field(data, f, map_fields) for f, _ in data._fields_] - ) - - check_error(release(data)) - return tuple_data - - @property - def pore(self): - if not self._pore: - if not self._pore_idx: - self.cache_data() - self._pore = self._cache_dict_data( - self._pore_idx, - PoreData, - c_api.PoreDictData, - c_api.mkr_get_pore, - c_api.mkr_release_pore, - ) - return self._pore - - @property - def calibration(self): - if not self._calibration: - if not self._calibration_idx: - self.cache_data() - self._calibration = self._cache_dict_data( - self._calibration_idx, - CalibrationData, - c_api.CalibrationDictData, - c_api.mkr_get_calibration, - c_api.mkr_release_calibration, - ) - return self._calibration - - @property - def end_reason(self): - if not self._end_reason: - if not self._end_reason_idx: - self.cache_data() - self._end_reason = self._cache_dict_data( - self._end_reason_idx, - EndReasonData, - c_api.EndReasonDictData, - c_api.mkr_get_end_reason, - c_api.mkr_release_end_reason, - ) - return self._end_reason - - @property - def run_info_index(self): - return self._run_info_idx - - @property - def run_info(self): - if not self._run_info: - if not self._run_info_idx: - self.cache_data() - - def to_datetime(val): - return datetime.fromtimestamp(val / 1000, timezone.utc) - - self._run_info = self._cache_dict_data( - self._run_info_idx, - RunInfoData, - c_api.RunInfoDictData, - c_api.mkr_get_run_info, - c_api.mkr_release_run_info, - { - "acquisition_start_time_ms": to_datetime, - "protocol_start_time_ms": to_datetime, - }, - ) - return self._run_info - - -class ReadBatchCApi: - """ - Read data for a batch of reads. - """ - - def __init__(self, reader, batch): - self._reader = reader - self._batch = batch - - def __del__(self): - check_error(c_api.mkr_free_read_batch(self._batch)) - - def reads(self): - size = ctypes.c_size_t() - check_error(c_api.mkr_get_read_batch_row_count(ctypes.byref(size), self._batch)) - - for i in range(size.value): - yield ReadRowCApi(self._reader, self._batch, i) - - -class FileReaderCApi: +class SubFileReader: """ - A reader for MKR data, opened using [open_combined_file], [open_split_file]. + Internal util for slicing an open file without copy. """ - def __init__(self, reader): - self._reader = reader - - def __enter__(self): - return self - - def __exit__(self, type, value, traceback): - pass - - @property - def batch_count(self): - size = ctypes.c_size_t() - check_error(c_api.mkr_get_read_batch_count(ctypes.byref(size), self._reader)) - return size.value - - def get_batch(self, i): - batch = ctypes.POINTER(c_api.MkrReadRecordBatch)() - - check_error(c_api.mkr_get_read_batch(ctypes.byref(batch), self._reader, i)) - - return ReadBatchCApi(self._reader, batch) - - def read_batches(self): - for i in range(self.batch_count): - yield self.get_batch(i) - - def reads(self): - for batch in self.read_batches(): - for read in batch.reads(): - yield read - - def select_reads(self, selection): - search_selection = set(selection) - - return filter(lambda x: x.read_id in search_selection, self.reads()) - - -class SubFileReader: def __init__(self, filename, reader, getter): location = c_api.EmbeddedFileData() getter(reader, ctypes.byref(location)) @@ -405,6 +51,20 @@ def __del__(self): def open_combined_file(filename: Path, use_c_api=False): + """ + Open a combined mkr file for reading. + + Parameters + ---------- + filename : Path + The combined MKR file to open. + use_c_api : bool + Use the direct C API to read the data, if false (the default) the pyarrow API is used to read the data. + + Returns + ------- + A FileReader, with the passed paths files opened for reading. + """ reader = c_api.mkr_open_combined_file(str(filename).encode("utf-8")) if not reader: raise Exception( @@ -412,7 +72,7 @@ def open_combined_file(filename: Path, use_c_api=False): ) if use_c_api: - return FileReaderCApi(reader) + return reader_c_api.FileReaderCApi(reader) else: read_reader = SubFileReader( filename, reader, c_api.mkr_get_combined_file_read_table_location @@ -420,10 +80,28 @@ def open_combined_file(filename: Path, use_c_api=False): signal_reader = SubFileReader( filename, reader, c_api.mkr_get_combined_file_signal_table_location ) - return pyarrow_reader.FileReader(reader, read_reader, signal_reader) + return reader_pyarrow.FileReader(reader, read_reader, signal_reader) def open_split_file(file: Path, reads_file: Path = None, use_c_api=False): + """ + Open a split pair of mkr files for reading, one for signal data, one for read data. + + Parameters + ---------- + file : Path + Either the basename of the split pair - "my_files.mkr" will open pair "my_files_signal.mkr" and "my_files_reads.mkr", + or the direct path to the signal file. if [reads_file] is None, file must be the basename for the split pair. + reads_file : Path + The name of the reads file in the split file pair. + use_c_api : bool + Use the direct C API to read the data, if false (the default) the pyarrow API is used to read the data. + + Returns + ------- + A FileReader, with the passed paths files opened for reading. + """ + signal_file = file if not reads_file: signal_file, reads_file = make_split_filename(file) @@ -437,7 +115,7 @@ def open_split_file(file: Path, reads_file: Path = None, use_c_api=False): ) if use_c_api: - return FileReaderCApi(reader) + return reader_c_api.FileReaderCApi(reader) else: class ArrowReader: @@ -446,4 +124,4 @@ def __init__(self, reader): read_reader = ArrowReader(reads_file) signal_reader = ArrowReader(signal_file) - return pyarrow_reader.FileReader(reader, read_reader, signal_reader) + return reader_pyarrow.FileReader(reader, read_reader, signal_reader) From 1755909f9058c2cec8a189f237ec9726fe20a7ca Mon Sep 17 00:00:00 2001 From: George Pimm Date: Wed, 4 May 2022 13:52:56 +0100 Subject: [PATCH 24/28] add design doc --- DESIGN.md | 102 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 102 insertions(+) create mode 100644 DESIGN.md diff --git a/DESIGN.md b/DESIGN.md new file mode 100644 index 0000000..be808b1 --- /dev/null +++ b/DESIGN.md @@ -0,0 +1,102 @@ +MKR File Format Design Details +============================== + +The MKR file format has been specifically designed to be suitable for Nanopore read data, we had some specific design goals: + +Design Goals +------------ + +The primary purpose of this file format is store reads produced by Oxford Nanopore sequencing, and in particular the signal data from those reads (which can then be basecalled or processed in other ways). + +This file format has the following design goals (roughly in priority order): + +- Good write performance for MinKNOW +- Recoverable if the writing process crashes +- Good read performance for downstream tools, including basecall model generation +- Efficient use of space +- Straightforward to implement and maintain +- Extensibilty + +Note that trade-offs have been made between these goals, but we have mostly aimed to make those run-time decisions. + +We have also chosen not to optimise for editing existing files. + + +### Write performance + +The aspects of this format that are designed to maximise write performance are: + + Data can be written sequentially + The sequential access pattern makes it easy to use efficient operating system APIs (such as io_uring on Linux) + The sequential access pattern helps the operating system's I/O scheduler maximise throughput + Signal data from different reads can be interleaved, and data streams can be safely abandoned (at the cost of using more space than necessary) + This allows MinKNOW to write out data as it arrives, potentially avoiding the need have an intermediate caching format (this file format can be used for the cache and the final output) + Support for space- and CPU-efficient compression routines (VBZ) + This reduces the amount of data that needs to be written, which reduces I/O load + +### Recovery + +The aspects of this format that are designed to allow for recovery if the writing process crashes are: + +- A way to indicate that a file is actually complete as intended (complete files end with a recognisable footer) +- The Apache Feather format can be assembled by reading it sequentially, without using the footer +- The data file format is append-only, which means that once data is recorded it cannot be corrupted by later updates + +### Read performance + +The aspects of this format that are designed to maximise read performance are: + +- The Apache Feather format can be memory mapped and used directly +- Apache Arrow has significant existing engineering work geared around efficient access to data, from the layout of the data itself to the library tooling +- Storing direct information about signal data locations with the row table + - This allows quick access to a read's data without scanning the data file +- It is possible to only decode part of a long read, due to read data being stored in chunks + - This is useful for model training +- Read access does not require locking or otherwise modifying the file + - This allows multi-threaded and multi-process access to a file for reading + +### Efficient use of space + +The aspects of this format that are designed to maximise use of space are: + +- Support for efficient compression routines (VBZ) +- Apache Arrow's support for dictionary encoding +- Apache Arrow's support for compressing buffers with standard compression routines + +### Ease of implementation + +The aspects of this format that are designed to make the format easy to implement are: + +- Relying on an existing, widely-used format (Apache Arrow) + +### Extensibility + +The aspects of this format that are designed to make the format extensible are: + +- Apache Arrow uses a self-describing schema with named columns, so it is straightfoward to write code that is resilient in the face of things like additional columns being added. + + +Format Specification +-------------------- + +### Overview + +The file format is, at its core, a collection of Apache Arrow tables, stored in the Apache Feather 2 (also know as Apache Arrow IPC File) format. These can be stored separately, linked by having a common filename component, or bundled into a single file for ease of file management. + +In its unbundled format, there are two required files: + +``` + _signal.arrow + _reads.arrow +``` + +Optionally, index files can also be provided: + +``` + _index_read_id.arrow (index by read_id) + _index_*.arrow (optional, extension point for other indexes) +``` + +Each of these is an Apache Feather 2 file, and can be opened directly using the Apache Arrow library's IPC routines. The schema of the tables is described below. The naming scheme above is recommended (and should be the default when creating these files), but tooling should provide a way for users to explicitly every filename when opening files (in case the user has renamed them to a different scheme). + +These can be stored in a bundled file, named .mkr and described below. \ No newline at end of file From a839d97eb2868fbda80ea9c392db4739b4bfcc08 Mon Sep 17 00:00:00 2001 From: George Pimm Date: Wed, 4 May 2022 13:54:21 +0100 Subject: [PATCH 25/28] fix windows build --- .gitlab-ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index dd279fc..1356d1d 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -116,7 +116,7 @@ win-x64-msvc2017-release-build: - ctest -C Release -VV - cmake -DCMAKE_INSTALL_PREFIX="archive" -DBUILD_TYPE="Release" -P "cmake_install.cmake" - cd ./archive - - tar -czf ../mkr-file-format-{mkr_version}-${OUTPUT_SKU}.tar.gz . + - tar -czf ../mkr-file-format-${mkr_version}-${OUTPUT_SKU}.tar.gz . variables: CONAN_PROFILE: "windows-x86_64-vs2017-release" OUTPUT_SKU: "win-x64" From 2ea784f27e4d1cad0dc5a7bdf8af61c059c33cfe Mon Sep 17 00:00:00 2001 From: George Pimm Date: Wed, 4 May 2022 14:27:15 +0100 Subject: [PATCH 26/28] fix ci --- .gitlab-ci.yml | 1 + DESIGN.md | 14 +- benchmarks/tools/find_and_get_mkr.py | 65 +++-- python/mkr_format/c_api.py | 7 + python/mkr_format/reader.py | 10 +- python/mkr_format/reader_c_api.py | 378 +++++++++++++++++++++++++++ 6 files changed, 438 insertions(+), 37 deletions(-) create mode 100644 python/mkr_format/reader_c_api.py diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 1356d1d..cc64ae1 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -41,6 +41,7 @@ build-standalone-ubu20: stage: build image: ubuntu:20.04 script: + - export DEBIAN_FRONTEND=noninteractive - apt update - apt install -y -V ca-certificates lsb-release wget - wget https://apache.jfrog.io/artifactory/arrow/$(lsb_release --id --short | tr 'A-Z' 'a-z')/apache-arrow-apt-source-latest-$(lsb_release --codename --short).deb diff --git a/DESIGN.md b/DESIGN.md index be808b1..a9cbc8a 100644 --- a/DESIGN.md +++ b/DESIGN.md @@ -26,13 +26,13 @@ We have also chosen not to optimise for editing existing files. The aspects of this format that are designed to maximise write performance are: - Data can be written sequentially - The sequential access pattern makes it easy to use efficient operating system APIs (such as io_uring on Linux) - The sequential access pattern helps the operating system's I/O scheduler maximise throughput - Signal data from different reads can be interleaved, and data streams can be safely abandoned (at the cost of using more space than necessary) - This allows MinKNOW to write out data as it arrives, potentially avoiding the need have an intermediate caching format (this file format can be used for the cache and the final output) - Support for space- and CPU-efficient compression routines (VBZ) - This reduces the amount of data that needs to be written, which reduces I/O load +- Data can be written sequentially + - The sequential access pattern makes it easy to use efficient operating system APIs (such as io_uring on Linux) + - The sequential access pattern helps the operating system's I/O scheduler maximise throughput +- Signal data from different reads can be interleaved, and data streams can be safely abandoned (at the cost of using more space than necessary) + - This allows MinKNOW to write out data as it arrives, potentially avoiding the need have an intermediate caching format (this file format can be used for the cache and the final output) +- Support for space- and CPU-efficient compression routines (VBZ) + - This reduces the amount of data that needs to be written, which reduces I/O load ### Recovery diff --git a/benchmarks/tools/find_and_get_mkr.py b/benchmarks/tools/find_and_get_mkr.py index 0528762..345311f 100755 --- a/benchmarks/tools/find_and_get_mkr.py +++ b/benchmarks/tools/find_and_get_mkr.py @@ -32,7 +32,9 @@ def process_read(get_columns, read, read_ids, extracted_columns): col.append(getattr(read, c)) -def do_batch_work(filename, batches, get_columns, c_api, result_q): +def do_batch_bulk_work( + filename, batches, select_read_ids, get_columns, c_api, result_q +): read_ids = [] extracted_columns = {"read_id": read_ids} @@ -44,15 +46,18 @@ def do_batch_work(filename, batches, get_columns, c_api, result_q): result_q.put(pd.DataFrame(extracted_columns)) -def do_search_work(files, select_read_ids, get_columns, c_api, result_q): +def do_batch_search_work( + filename, batches, select_read_ids, get_columns, c_api, result_q +): + print("Start search") read_ids = [] extracted_columns = {"read_id": read_ids} - for file in files: - file = mkr_format.open_combined_file(file, use_c_api=c_api) - for read in file.select_reads(UUID(s) for s in select_read_ids): - process_read(get_columns, read, read_ids, extracted_columns) + file = mkr_format.open_combined_file(filename, use_c_api=c_api) + for read in file.select_reads(select_read_ids): + process_read(get_columns, read, read_ids, extracted_columns) + print("DONE") result_q.put(pd.DataFrame(extracted_columns)) @@ -73,34 +78,38 @@ def run(input_dir, output, select_read_ids=None, get_columns=[], c_api=False): files = list(input_dir.glob("*.mkr")) print(f"Searching for read ids in {[str(f) for f in files]}") - processes = [] + fn_to_call = do_batch_bulk_work if select_read_ids is not None: - approx_chunk_size = max(1, len(select_read_ids) // runners) + fn_to_call = do_batch_search_work + + select_read_ids = set(UUID(s) for s in select_read_ids) if select_read_ids else None + + processes = [] + for filename in files: + file = mkr_format.open_combined_file(filename, use_c_api=c_api) + batches = list(range(file.batch_count)) + approx_chunk_size = max(1, len(batches) // runners) start_index = 0 - while start_index < len(select_read_ids): - select_ids = select_read_ids[start_index : start_index + approx_chunk_size] + while start_index < len(batches): + select_batches = batches[start_index : start_index + approx_chunk_size] + print("start process with batches", select_batches) p = mp.Process( - target=do_search_work, - args=(files, select_ids, get_columns, c_api, result_queue), + target=fn_to_call, + args=( + filename, + select_batches, + select_read_ids, + get_columns, + c_api, + result_queue, + ), ) + print("start") p.start() + print("append") processes.append(p) - start_index += len(select_ids) - else: - for filename in files: - file = mkr_format.open_combined_file(filename, use_c_api=c_api) - batches = list(range(file.batch_count)) - approx_chunk_size = max(1, len(batches) // runners) - start_index = 0 - while start_index < len(batches): - select_batches = batches[start_index : start_index + approx_chunk_size] - p = mp.Process( - target=do_batch_work, - args=(filename, select_batches, get_columns, c_api, result_queue), - ) - p.start() - processes.append(p) - start_index += len(select_batches) + print("inc") + start_index += len(select_batches) print("Wait for processes...") items = [] diff --git a/python/mkr_format/c_api.py b/python/mkr_format/c_api.py index 4b145f5..f28622d 100644 --- a/python/mkr_format/c_api.py +++ b/python/mkr_format/c_api.py @@ -181,6 +181,13 @@ def __del__(self): ] mkr_open_split_file.restype = FILE_READER_PTR +mkr_close_and_free_reader = mkr_format.mkr_close_and_free_reader +mkr_close_and_free_reader.restype = ERROR_TYPE +mkr_close_and_free_reader.argtypes = [ + FILE_READER_PTR, +] + + mkr_get_combined_file_read_table_location = ( mkr_format.mkr_get_combined_file_read_table_location ) diff --git a/python/mkr_format/reader.py b/python/mkr_format/reader.py index e1714da..8e69103 100644 --- a/python/mkr_format/reader.py +++ b/python/mkr_format/reader.py @@ -80,7 +80,11 @@ def open_combined_file(filename: Path, use_c_api=False): signal_reader = SubFileReader( filename, reader, c_api.mkr_get_combined_file_signal_table_location ) - return reader_pyarrow.FileReader(reader, read_reader, signal_reader) + + check_error(c_api.mkr_close_and_free_reader(reader)) + reader = None + + return reader_pyarrow.FileReader(read_reader, signal_reader) def open_split_file(file: Path, reads_file: Path = None, use_c_api=False): @@ -117,6 +121,8 @@ def open_split_file(file: Path, reads_file: Path = None, use_c_api=False): if use_c_api: return reader_c_api.FileReaderCApi(reader) else: + check_error(c_api.mkr_close_and_free_reader(reader)) + reader = None class ArrowReader: def __init__(self, reader): @@ -124,4 +130,4 @@ def __init__(self, reader): read_reader = ArrowReader(reads_file) signal_reader = ArrowReader(signal_file) - return reader_pyarrow.FileReader(reader, read_reader, signal_reader) + return reader_pyarrow.FileReader(read_reader, signal_reader) diff --git a/python/mkr_format/reader_c_api.py b/python/mkr_format/reader_c_api.py new file mode 100644 index 0000000..4d49b88 --- /dev/null +++ b/python/mkr_format/reader_c_api.py @@ -0,0 +1,378 @@ +import ctypes +from datetime import datetime, timezone +import typing +from uuid import UUID + +import numpy + +from . import c_api +from .api_utils import check_error +from .reader_utils import ( + PoreData, + CalibrationData, + EndReasonData, + RunInfoData, + SignalRowInfo, +) + + +def _parse_map(key_value_pairs: c_api.KeyValueData) -> typing.Dict[str, str]: + """ + Parse a ctypes dict KeyValueData struct into a dict. + """ + out = [] + for i in range(key_value_pairs.size): + out.append( + ( + key_value_pairs.keys[i].decode("utf-8"), + key_value_pairs.values[i].decode("utf-8"), + ) + ) + return out + + +class ReadRowCApi: + """ + Represents the data for a single read. + """ + + def __init__(self, reader, batch, row): + self._reader = reader + self._batch = batch + self._row = row + self._read_id = None + self._pore_idx = None + self._calibration_idx = None + self._read_number = None + self._start_sample = None + self._median_before = None + self._end_reason_idx = None + self._run_info_idx = None + self._signal_row_count = None + self._signal_row_info = None + self._signal_rows = None + self._pore = None + self._calibration = None + self._end_reason = None + self._run_info = None + + def __del__(self): + if self._signal_row_info: + check_error( + c_api.mkr_free_signal_row_info( + self._signal_row_count, self._signal_row_info + ) + ) + + def cache_data(self): + read_id = (ctypes.c_ubyte * 16)() + pore_idx = ctypes.c_short() + calibration_idx = ctypes.c_short() + read_number = ctypes.c_uint() + start_sample = ctypes.c_ulonglong() + median_before = ctypes.c_float() + end_reason_idx = ctypes.c_short() + run_info_idx = ctypes.c_short() + signal_row_count = ctypes.c_longlong() + + check_error( + c_api.mkr_get_read_batch_row_info( + self._batch, + self._row, + read_id, + ctypes.byref(pore_idx), + ctypes.byref(calibration_idx), + ctypes.byref(read_number), + ctypes.byref(start_sample), + ctypes.byref(median_before), + ctypes.byref(end_reason_idx), + ctypes.byref(run_info_idx), + ctypes.byref(signal_row_count), + ) + ) + + self._read_id = UUID(bytes=bytes(read_id)) + self._pore_idx = pore_idx.value + self._calibration_idx = calibration_idx.value + self._read_number = read_number.value + self._start_sample = start_sample.value + self._median_before = median_before.value + self._end_reason_idx = end_reason_idx.value + self._calibration_idx = calibration_idx.value + self._run_info_idx = run_info_idx.value + self._signal_row_count = signal_row_count.value + + def cache_signal_row_data(self): + if not self._signal_row_count: + self.cache_data() + + signal_rows = (ctypes.c_ulonglong * self._signal_row_count)() + + check_error( + c_api.mkr_get_signal_row_indices( + self._batch, self._row, self._signal_row_count, signal_rows + ) + ) + + self._signal_row_info = ( + ctypes.POINTER(c_api.SignalRowInfo) * self._signal_row_count + )() + + self._signal_rows = [] + check_error( + c_api.mkr_get_signal_row_info( + self._reader, self._signal_row_count, signal_rows, self._signal_row_info + ) + ) + + self._signal_rows = [] + for i in range(self._signal_row_count): + item = self._signal_row_info[i].contents + self._signal_rows.append( + SignalRowInfo( + item.batch_index, + item.batch_row_index, + item.stored_sample_count, + item.stored_byte_count, + ) + ) + + @property + def read_id(self): + if not self._read_id: + self.cache_data() + return self._read_id + + @property + def read_number(self): + if not self._read_number: + self.cache_data() + return self._read_number + + @property + def start_sample(self): + if not self._start_sample: + self.cache_data() + return self._start_sample + + @property + def median_before(self): + if not self._median_before: + self.cache_data() + return self._median_before + + @property + def signal_row_count(self): + if not self._signal_row_count: + self.cache_data() + return self._signal_row_count + + @property + def signal_rows(self): + if not self._signal_rows: + self.cache_signal_row_data() + return self._signal_rows + + @property + def sample_count(self): + return sum(r.sample_count for r in self.signal_rows) + + @property + def byte_count(self): + return sum(r.byte_count for r in self.signal_rows) + + @property + def signal(self): + if not self._signal_rows: + self.cache_signal_row_data() + output = numpy.empty(self.sample_count, dtype=numpy.int16) + + start = 0 + for row in self._signal_row_info: + sample_count = row.contents.stored_sample_count + check_error( + c_api.mkr_get_signal( + self._reader, + row, + sample_count, + output[start:].ctypes.data_as(ctypes.POINTER(ctypes.c_short)), + ) + ) + start += sample_count + return output + + def signal_for_chunk(self, i): + if not self._signal_rows: + self.cache_signal_row_data() + + row = self._signal_row_info[i] + sample_count = row.contents.stored_sample_count + output = numpy.empty(self.sample_count, dtype=numpy.int16) + check_error( + c_api.mkr_get_signal( + self._reader, + row, + sample_count, + output.ctypes.data_as(ctypes.POINTER(ctypes.c_short)), + ) + ) + return output + + def _cache_dict_data( + self, index, data_type, c_api_type, get, release, map_fields=None + ): + data_ptr = ctypes.POINTER(c_api_type)() + check_error(get(self._batch, index, ctypes.byref(data_ptr))) + + def get_field(data, name, map_fields): + val = getattr(data, name) + if isinstance(val, bytes): + val = val.decode("utf-8") + elif isinstance(val, c_api.KeyValueData): + val = _parse_map(val) + + if map_fields and name in map_fields: + val = map_fields[name](val) + + return val + + data = data_ptr.contents + tuple_data = data_type( + *[get_field(data, f, map_fields) for f, _ in data._fields_] + ) + + check_error(release(data)) + return tuple_data + + @property + def pore(self): + if not self._pore: + if not self._pore_idx: + self.cache_data() + self._pore = self._cache_dict_data( + self._pore_idx, + PoreData, + c_api.PoreDictData, + c_api.mkr_get_pore, + c_api.mkr_release_pore, + ) + return self._pore + + @property + def calibration(self): + if not self._calibration: + if not self._calibration_idx: + self.cache_data() + self._calibration = self._cache_dict_data( + self._calibration_idx, + CalibrationData, + c_api.CalibrationDictData, + c_api.mkr_get_calibration, + c_api.mkr_release_calibration, + ) + return self._calibration + + @property + def end_reason(self): + if not self._end_reason: + if not self._end_reason_idx: + self.cache_data() + self._end_reason = self._cache_dict_data( + self._end_reason_idx, + EndReasonData, + c_api.EndReasonDictData, + c_api.mkr_get_end_reason, + c_api.mkr_release_end_reason, + ) + return self._end_reason + + @property + def run_info_index(self): + return self._run_info_idx + + @property + def run_info(self): + if not self._run_info: + if not self._run_info_idx: + self.cache_data() + + def to_datetime(val): + return datetime.fromtimestamp(val / 1000, timezone.utc) + + self._run_info = self._cache_dict_data( + self._run_info_idx, + RunInfoData, + c_api.RunInfoDictData, + c_api.mkr_get_run_info, + c_api.mkr_release_run_info, + { + "acquisition_start_time_ms": to_datetime, + "protocol_start_time_ms": to_datetime, + }, + ) + return self._run_info + + +class ReadBatchCApi: + """ + Read data for a batch of reads. + """ + + def __init__(self, reader, batch): + self._reader = reader + self._batch = batch + + def __del__(self): + check_error(c_api.mkr_free_read_batch(self._batch)) + + def reads(self): + size = ctypes.c_size_t() + check_error(c_api.mkr_get_read_batch_row_count(ctypes.byref(size), self._batch)) + + for i in range(size.value): + yield ReadRowCApi(self._reader, self._batch, i) + + +class FileReaderCApi: + """ + A reader for MKR data, opened using [open_combined_file], [open_split_file]. + """ + + def __init__(self, reader): + self._reader = reader + + def __del__(self): + check_error(c_api.mkr_close_and_free_reader(self._reader)) + + def __enter__(self): + return self + + def __exit__(self, type, value, traceback): + pass + + @property + def batch_count(self): + size = ctypes.c_size_t() + check_error(c_api.mkr_get_read_batch_count(ctypes.byref(size), self._reader)) + return size.value + + def get_batch(self, i): + batch = ctypes.POINTER(c_api.MkrReadRecordBatch)() + + check_error(c_api.mkr_get_read_batch(ctypes.byref(batch), self._reader, i)) + + return ReadBatchCApi(self._reader, batch) + + def read_batches(self): + for i in range(self.batch_count): + yield self.get_batch(i) + + def reads(self): + for batch in self.read_batches(): + for read in batch.reads(): + yield read + + def select_reads(self, selection): + search_selection = set(selection) + + return filter(lambda x: x.read_id in search_selection, self.reads()) From 236ceeb2472779161f3a00b923bce5b3e773e9a5 Mon Sep 17 00:00:00 2001 From: George Pimm Date: Wed, 4 May 2022 14:48:18 +0100 Subject: [PATCH 27/28] update CI --- .gitlab-ci.yml | 2 +- benchmarks/tools/find_and_get_mkr.py | 22 +- benchmarks/tools/find_and_get_slow5.py | 2 - python/mkr_format/reader_pyarrow.py | 299 +++++++++++++++++++++++++ 4 files changed, 312 insertions(+), 13 deletions(-) create mode 100644 python/mkr_format/reader_pyarrow.py diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index cc64ae1..567736e 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -47,7 +47,7 @@ build-standalone-ubu20: - wget https://apache.jfrog.io/artifactory/arrow/$(lsb_release --id --short | tr 'A-Z' 'a-z')/apache-arrow-apt-source-latest-$(lsb_release --codename --short).deb - apt install -y -V ./apache-arrow-apt-source-latest-$(lsb_release --codename --short).deb - apt update - - apt install -y cmake build-essential libzstd-dev libzstd-dev libboost-dev libboost-filesystem-dev libflatbuffers-dev + - apt install -y cmake build-essential libzstd-dev libzstd-dev libboost-dev libboost-filesystem-dev libflatbuffers-dev libarrow-dev - mkdir build - cd build - cmake .. diff --git a/benchmarks/tools/find_and_get_mkr.py b/benchmarks/tools/find_and_get_mkr.py index 345311f..f2fc6f1 100755 --- a/benchmarks/tools/find_and_get_mkr.py +++ b/benchmarks/tools/find_and_get_mkr.py @@ -3,6 +3,7 @@ import argparse import multiprocessing as mp from pathlib import Path +import pickle from queue import Empty from uuid import UUID @@ -47,17 +48,20 @@ def do_batch_bulk_work( def do_batch_search_work( - filename, batches, select_read_ids, get_columns, c_api, result_q + filename, batches, select_read_ids_pickled, get_columns, c_api, result_q ): - print("Start search") read_ids = [] extracted_columns = {"read_id": read_ids} + select_read_ids = pickle.loads(select_read_ids_pickled) + file = mkr_format.open_combined_file(filename, use_c_api=c_api) - for read in file.select_reads(select_read_ids): - process_read(get_columns, read, read_ids, extracted_columns) + for batch in batches: + for read in filter( + lambda x: x.read_id in select_read_ids, file.get_batch(batch).reads() + ): + process_read(get_columns, read, read_ids, extracted_columns) - print("DONE") result_q.put(pd.DataFrame(extracted_columns)) @@ -82,7 +86,9 @@ def run(input_dir, output, select_read_ids=None, get_columns=[], c_api=False): if select_read_ids is not None: fn_to_call = do_batch_search_work - select_read_ids = set(UUID(s) for s in select_read_ids) if select_read_ids else None + select_read_ids = pickle.dumps( + set(UUID(s) for s in select_read_ids) if select_read_ids is not None else None + ) processes = [] for filename in files: @@ -92,7 +98,6 @@ def run(input_dir, output, select_read_ids=None, get_columns=[], c_api=False): start_index = 0 while start_index < len(batches): select_batches = batches[start_index : start_index + approx_chunk_size] - print("start process with batches", select_batches) p = mp.Process( target=fn_to_call, args=( @@ -104,11 +109,8 @@ def run(input_dir, output, select_read_ids=None, get_columns=[], c_api=False): result_queue, ), ) - print("start") p.start() - print("append") processes.append(p) - print("inc") start_index += len(select_batches) print("Wait for processes...") diff --git a/benchmarks/tools/find_and_get_slow5.py b/benchmarks/tools/find_and_get_slow5.py index 66baf83..ef20f2b 100755 --- a/benchmarks/tools/find_and_get_slow5.py +++ b/benchmarks/tools/find_and_get_slow5.py @@ -49,14 +49,12 @@ def do_search_work(files, select_read_ids, get_columns, result_q): not_aux_columns = ["sample_count", "samples"] aux_columns = list(filter(lambda x: x not in not_aux_columns, get_columns)) - print("processing ", files) for file in files: file = pyslow5.Open(str(file), "r") for read in file.get_read_list(select_read_ids, pA=False, aux=aux_columns): process_read(get_columns, read, read_ids, extracted_columns) - print("done") result_q.put(pd.DataFrame(extracted_columns)) diff --git a/python/mkr_format/reader_pyarrow.py b/python/mkr_format/reader_pyarrow.py new file mode 100644 index 0000000..0d307e3 --- /dev/null +++ b/python/mkr_format/reader_pyarrow.py @@ -0,0 +1,299 @@ +from datetime import datetime +from uuid import UUID + +import numpy +import pyarrow as pa + +from . import c_api +from .api_utils import check_error +from .signal_tools import vbz_decompress_signal +from .reader_utils import ( + PoreData, + CalibrationData, + EndReasonData, + RunInfoData, + SignalRowInfo, +) + + +class ReadRowPyArrow: + """ + Represents the data for a single read. + """ + + def __init__(self, reader, batch, row): + self._reader = reader + self._batch = batch + self._row = row + + @property + def read_id(self): + """ + Find the unique read identifier for the read. + """ + return UUID(bytes=self._batch.column("read_id")[self._row].as_py()) + + @property + def read_number(self): + """ + Find the integer read number of the read. + """ + return self._batch.column("read_number")[self._row].as_py() + + @property + def start_sample(self): + """ + Find the absolute sample which the read started. + """ + return self._batch.column("start")[self._row].as_py() + + @property + def median_before(self): + """ + Find the median before level (in pico amps) for the read. + """ + return self._batch.column("median_before")[self._row].as_py() + + @property + def pore(self): + """ + Find the pore data associated with the read. + + Returns + ------- + The pore data (as PoreData). + """ + return PoreData(**self._batch.column("pore")[self._row].as_py()) + + @property + def calibration(self): + """ + Find the calibration data associated with the read. + + Returns + ------- + The calibration data (as CalibrationData). + """ + return CalibrationData(**self._batch.column("calibration")[self._row].as_py()) + + @property + def end_reason(self): + """ + Find the end reason data associated with the read. + + Returns + ------- + The end reason data (as EndReasonData). + """ + return EndReasonData(**self._batch.column("end_reason")[self._row].as_py()) + + @property + def run_info(self): + """ + Find the run info data associated with the read. + + Returns + ------- + The run info data (as RunInfoData). + """ + val = self._batch.column("run_info")[self._row] + return RunInfoData(**self._batch.column("run_info")[self._row].as_py()) + + @property + def sample_count(self): + """ + Find the number of samples in the reads signal data. + """ + return sum(r.sample_count for r in self.signal_rows) + + @property + def byte_count(self): + """ + Find the number of bytes used to store the reads data. + """ + return sum(r.byte_count for r in self.signal_rows) + + @property + def signal(self): + """ + Find the full signal for the read. + + Returns + ------- + A numpy array of signal data with int16 type. + """ + output = [] + for r in self._batch.column("signal")[self._row]: + output.append(self._get_signal_for_row(r.as_py())) + + return numpy.concatenate(output) + + def signal_for_chunk(self, i): + """ + Find the signal for a given chunk of the read. + + #signal_rows can be used to find details of the signal chunks. + + Returns + ------- + A numpy array of signal data with int16 type. + """ + output = [] + chunk_abs_row_index = self._batch.column("signal")[self._row][i] + return self._get_signal_for_row(chunk_abs_row_index.as_py()) + + @property + def signal_rows(self): + """ + Find all signal rows for the read + + Returns + ------- + An iterable of signal row data (as SignalRowInfo) in the read. + """ + + def map_signal_row(sig_row): + sig_row = sig_row.as_py() + + batch, batch_index, batch_row_index = self._find_signal_row_index(sig_row) + return SignalRowInfo( + batch_index, + batch_row_index, + batch.column("samples")[batch_row_index].as_py(), + len(batch.column("signal")[batch_row_index].as_buffer()), + ) + + return [map_signal_row(r) for r in self._batch.column("signal")[self._row]] + + def _find_signal_row_index(self, signal_row): + """ + Map from a signal_row to a batch, batch index and row index within that batch. + """ + sig_row_count = self._reader._signal_batch_row_count + sig_batch_idx = signal_row // sig_row_count + sig_batch = self._reader._signal_reader.reader.get_record_batch(sig_batch_idx) + batch_row_idx = signal_row - (sig_batch_idx * sig_row_count) + + return ( + sig_batch, + signal_row // sig_row_count, + signal_row - (sig_batch_idx * sig_row_count), + ) + + def _get_signal_for_row(self, r): + """ + Find the signal data for a given absolute signal row index + """ + batch, batch_index, batch_row_index = self._find_signal_row_index(r) + + signal = batch.column("signal") + if isinstance(signal, pa.lib.LargeBinaryArray): + sample_count = batch.column("samples")[batch_row_index].as_py() + output = numpy.empty(sample_count, dtype=numpy.uint8) + compressed_signal = signal[batch_row_index].as_py() + return vbz_decompress_signal(compressed_signal, sample_count) + else: + return signal.to_numpy() + + +class ReadBatchPyArrow: + """ + Read data for a batch of reads. + """ + + def __init__(self, reader, batch): + self._reader = reader + self._batch = batch + + def reads(self): + """ + Iterate all reads in the batch. + + Returns + ------- + An iterable of reads (as ReadRowPyArrow) in the file. + """ + for i in range(self._batch.num_rows): + yield ReadRowPyArrow(self._reader, self._batch, i) + + +class FileReader: + """ + A reader for MKR data, opened using [open_combined_file], [open_split_file]. + """ + + def __init__(self, read_reader, signal_reader): + self._read_reader = read_reader + self._signal_reader = signal_reader + + if self._signal_reader.reader.num_record_batches > 0: + self._signal_batch_row_count = self._signal_reader.reader.get_record_batch( + 0 + ).num_rows + + def __enter__(self): + return self + + def __exit__(self, type, value, traceback): + pass + + @property + def batch_count(self): + """ + Find the number of read batches available in the file. + + Returns + ------- + The number of batches in the file. + """ + return self._read_reader.reader.num_record_batches + + def get_batch(self, i): + """ + Get a read batch in the file. + + Returns + ------- + The requested batch as a ReadBatchPyArrow. + """ + return ReadBatchPyArrow(self, self._read_reader.reader.get_record_batch(i)) + + def read_batches(self): + """ + Iterate all read batches in the file. + + Returns + ------- + An iterable of batches (as ReadBatchPyArrow) in the file. + """ + for i in range(self._read_reader.reader.num_record_batches): + yield self.get_batch(i) + + def reads(self): + """ + Iterate all reads in the file. + + Returns + ------- + An iterable of reads (as ReadRowPyArrow) in the file. + """ + for batch in self.read_batches(): + for read in batch.reads(): + yield read + + def select_reads(self, selection): + """ + Iterate a set of reads in the file + + Parameters + ---------- + selection : iterable[str] + The read ids to walk in the file. + + Returns + ------- + An iterable of reads (as ReadRowPyArrow) in the file. + """ + search_selection = set(selection) + + return filter(lambda x: x.read_id in search_selection, self.reads()) From 347509a3e8fe9505c541d769f5ae93425d82ab7b Mon Sep 17 00:00:00 2001 From: George Pimm Date: Wed, 4 May 2022 15:13:44 +0100 Subject: [PATCH 28/28] fix wheel test --- .gitlab-ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 567736e..50f54d1 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -173,7 +173,7 @@ wheel-test: script: - pip install ./wheels/* - mkr-convert-fast5 ./test_data/ ./output_files --output-one-to-one - - python3 python/tests/ + - python3 python/tests/tools/check_mkr_files_equal.py ./output_files/multi_fast5_zip.mkr ./test_data/multi_fast5_zip.mkr package_upload: stage: deploy