#
# This file is part of Sequana software
#
# Copyright (c) 2016-2021 - Sequana Dev Team (https://sequana.readthedocs.io)
#
# Distributed under the terms of the 3-clause BSD license.
# The full license is in the LICENSE file, distributed with this software.
#
# Website: https://github.com/sequana/sequana
# Documentation: http://sequana.readthedocs.io
# Contributors: https://github.com/sequana/sequana/graphs/contributors
##############################################################################
import importlib
import os
import shutil
import colorlog
from sequana_pipetools import get_package_version
from sequana_pipetools.misc import PipetoolsException
from sequana_pipetools.snaketools.errors import PipeError
from .file_factory import FastQFactory, FileFactory
from .module import Pipeline
from .pipeline_utils import OnSuccessCleaner
from .sequana_config import SequanaConfig
logger = colorlog.getLogger(__name__)
[docs]
class PipelineManagerBase:
"""
For all files except FastQ, please use this class instead of
PipelineManager.
"""
def __init__(self, name, config, schema=None, matplotlib_backend="Agg"):
# Make sure the config is valid
self.name = name
cfg = SequanaConfig(config)
if schema:
if not cfg.check_config_with_schema(schema):
raise PipetoolsException("Please check the config file, some mandatory values are missing.")
# Populate the config with additional information
self.config = cfg.config
self.config.pipeline_name = name
self.matplotlib_backend = matplotlib_backend
# some common choices
self.sample = "{sample}"
self.basename = "{sample}/%s/{sample}"
self.setup()
[docs]
def error(self, msg):
msg = (
f"{msg}\nPlease check the content of your config file. "
"It should have those 3 key/value pairs in config.yaml (adapt to your needs):"
"\n"
"- input_directory: path_to_find_input_files\n"
'- input_readtag: "_R[12]_"\n'
'- input_pattern: "*.fastq.gz"\n'
"\n"
"You must set an input_directory key and an input_pattern key so that files can be found. \n"
"You may omit input_directory but input_pattern must then correspond to a valid file pattern.\n"
"You must also set input_readtag to a valid read tag for Illumina data (typically _R[12]_ or _[12]. ; not the trailing dot).\n"
"If you are not analysing Illumina paired data (e.g., nanopore), let the input_readtag field empty."
)
raise PipetoolsException(msg)
[docs]
def getrawdata(self):
"""Return list of raw data
A list of files is returned (one or two files)
otherwise, a function compatible with snakemake is returned. This function
contains a wildcard to each of the samples found by the manager.
"""
if not self.samples: # pragma: no cover
raise ValueError(
"Define the samples attribute as a dictionary with"
" sample names as keys and the corresponding location as values."
)
return lambda wildcards: self.samples[wildcards.sample]
[docs]
def setup(self, namespace=None, mode="error"):
"""
90% of the errors come from the fact that users did not set a matplotlib
backend properly. In the setup() function, we set the backend to Agg on
purpose. One can set this parameter to None to avoid this behaviour
"""
# The rulegraph wrapper expected manager.snakefile, which is defined here
# Note also that the snakefile path when called from the rulegraph directory
# has an extra 'rulegraph' in the path that is removed here.
self._snakefile = os.path.abspath(self.name + ".rules").replace("rulegraph/", "")
try:
# check requirements if possible. This is the standalone application
# requirements, not the files possibly provided in the config file
Pipeline(self.name).check("warning")
except ValueError:
pass
if self.matplotlib_backend:
import matplotlib as mpl
mpl.use(self.matplotlib_backend)
def _get_snakefile(self):
return self._snakefile
snakefile = property(_get_snakefile)
[docs]
def clean_multiqc(self, filename):
with open(filename, "r") as fin:
with open(filename + "_tmp_", "w") as fout:
line = fin.readline()
while line:
if """<a href="http://multiqc.info" target="_blank">""" in line:
line = fin.readline() # read the image
line = fin.readline() # read the ending </a> tag
else:
fout.write(line)
line = fin.readline() # read the next line
shutil.move(filename + "_tmp_", filename)
[docs]
def onerror(self):
"""Try to report error from slurm"""
try:
p = PipeError(self.name)
p.status()
print(f"\nIf you encoutered an error using sequana_{self.name}, please copy paste the above message and create a New Issue on https://github.com/sequana/{self.name}/issues")
except Exception as err:
print
[docs]
def teardown(self, extra_dirs_to_remove=[], extra_files_to_remove=[], outdir="."):
# add a Makefile
cleaner = OnSuccessCleaner(self.name, outdir=outdir)
cleaner.directories_to_remove.extend(extra_dirs_to_remove)
cleaner.files_to_remove.extend(extra_files_to_remove)
cleaner.add_makefile()
# create the version file given the requirements
if os.path.exists(".sequana/tools.txt"):
with open(".sequana/tools.txt", "r") as fin:
deps = fin.readlines()
with open(".sequana/versions.txt", "w") as fout:
from versionix.parser import get_version
for dep in deps:
dep = dep.strip()
try:
version = get_version(dep, verbose=False)
except (KeyError, SystemExit):
version = "unknown"
fout.write(f"{dep}\t{version}\n")
if os.path.exists("summary.html"):
print("\u2705 Another successful analysis. Open summary.html in your browser. Have fun.")
else:
print("\u2705 Another successful analysis. Have fun.")
[docs]
def get_html_summary(self, float="left", width=30):
import pandas as pd
vers = get_package_version(f"sequana_{self.name}")
data = {"samples": len(self.samples), f"sequana_{self.name}_version": vers}
try:
data["paired"] = self.paired
except AttributeError: # pragma: no cover
pass
df_general = pd.DataFrame(
data,
index=["summary"],
)
from sequana.utils.datatables_js import DataTable
datatable = DataTable(df_general.T, "general", index=True)
datatable.datatable.datatable_options = {
"paging": "false",
"bFilter": "false",
"bInfo": "false",
"header": "false",
"bSort": "true",
}
js = datatable.create_javascript_function()
htmltable = datatable.create_datatable(style="width: 20%; float:left")
contents = """<div style="float:{}; width:{}%">{}</div>""".format(float, width, js + htmltable)
return contents
[docs]
class PipelineManagerDirectory(PipelineManagerBase):
"""Most generic pipeline manager
Only checks for valid config file and its schema
For all files except FastQ, please use this class instead of
PipelineManager.
"""
def __init__(self, name, config, schema=None):
super().__init__(name, config, schema)
# uses the provided sequana_wrappers version if any, otherwise use the main branch of the wrappers
if "sequana_wrappers" not in self.config:
logger.warning(
"This pipeline has no sequana_wrappers in its config file. Using the branch 'main' by default"
)
self.wrappers = self.config.get("sequana_wrappers", "main")
[docs]
class PipelineManager(PipelineManagerBase):
"""Utility to manage easily the snakemake pipeline including input files
Inside a snakefile, use it as follows::
from sequana import PipelineManager
manager = PipelineManager("pipeline_name", "config.yaml")
This will expect some specific fields in the config file::
- input_directory: path_to_find_input_files
- input_readtag: "_R[12]_"
- input_pattern: "*.fastq.gz"
You may omit the input_readtag, which is not required for non-paired data. For instance for
pacbio and nanopore files, there are not paired and the read tag is not required. Instead, if
you are dealing with Illumina/MGI data sets, you must provide this field IF AND ONLY IF you want
your data to be processed as paired data (or single end). See later for more details.
You may omit the input_directory but then the input_pattern must match files to be found locally.
Behind the scene, the :class:`~sequana_pipetools.snaketools.file_factory.FileFactory`
or :class:`~sequana_pipetools.snaketools.file_factory.FastQFactory` will provide the sample
names and their tags in :attr:`samples` where tag are extracted from the sample names
where read tags are removed (if required).
The manager tells you if the samples are paired or not assuming all
samples are homogeneous (either all paired or all single-ended) and a user
read_tag that can discrimate the sample name unambigously.
In Sequencing data, the sequences are stored in one file (single-ended) data
or in two files (paired-data). In both cases, most common sequencers will append
a so-called read-tag to identify the first and second file. Traditionnally, e.g.,
with illumina sequencers the read tag are _R1_ and _R2_ or a trailing _1 and _2
Note that samples names have sometimes this tag included. Consider e.g.
`sample_replicate_1_R1_.fastq.gz` or `sample_replicate_1_1.fastq.gz` then you can imagine that
it is tricky to handle.
The sample names are extracted by cutting filenames on the first dot that is encoutered
(before extension presumably). For instance the sample name for the file::
A.fastq.gz
will be **A**. sometimes, you may have ambiguous names. For instance, they may start with
a common prefix. Considere these two files::
demultiplex.A.fastq.gz
demultiplex.B.fastq.gz
They would both have the same sample name. So, we remove all trailing prefixes
that are common to all files. Therefore, our sample names are as expected::
A
B
If extra prefixes not common to all samples are present and you want to remove them, it is still possible
using a field in the config file called extra_prefixes_to_strip. For instance with ::
demultiplex.A.fastq.gz
demultiplex.mess.B.fastq.gz
your sample names will be A and mess. You can set this pair key:value in the config file::
extra_prefixes_to_strip: ["mess"]
and get *A* and *B* as sample names.
If you have specific wishes to create sample names from the filenames, you may provide a function
with the :attr:`sample_func` parameter. If so, you must provide the input_directory and input_pattern
to identify the files to process. For instance, in the sequana_fastqc pipeline, you set the input_directory
and input_pattern and use this function to extract the sample names
::
from sequana_pipetools import SequanaManager
def func(filename):
return filename.split("/")[-1].split('.', 1)[0]
pm = SequanaManager("fastqc", "config.yaml", sample_func=func)
The manager can then easily access to the data with a :class:`FastQFactory`
instance::
manager.ff.filenames
Finally, you can also define a sample pattern using a simple syntax such as **demultiplex.{sample}.fastq.gz** and you
can define this in your config file using::
sample_pattern: "demultiplex.{sample}.fastq.gz"
in which case, no prefixes are removed.
"""
def __init__(
self,
name: str,
config: str,
schema=None,
sample_func=None,
extra_prefixes_to_strip=[],
sample_pattern=None,
**kwargs,
):
""".. rubric:: Constructor
:param name: name of the pipeline
:param config: name of a configuration file
:param str schema: YAML file to validate the config file
:param sample_func: a user-defined function that extract sample names from filenames
:param extra_prefixes_to_strip: we automatically remove common prefixes.
However, you may have extra prefixes not common to all samples
that needs to be removed. Provide a list with extra_prefixes_to_strip
including trailing dot or not.
:param sample_pattern: if a sample pattern is provided, prefix are
not removed automatically. The sample_pattern must include the string
{sample} to define the expected sample name. For instance given
a filename A_sorted.fastq.gz where sorted appears in all sample
buy is not wished, use sample_pattern='{sample}_sorted.fastq.gz'
and your sample will be only 'A'.
"""
super().__init__(name, config, schema)
cfg = SequanaConfig(config)
cfg.config.pipeline_name = self.name
# can be provided in the config file or arguments
self.sample_pattern = cfg.config.get("sample_pattern", sample_pattern)
self.extra_prefixes_to_strip = cfg.config.get("extra_prefixes_to_strip", extra_prefixes_to_strip)
# if input_directory is not filled, the input_pattern, if valid, will be used instead and must
# be provided anyway.
if "input_pattern" not in cfg.config:
self.error("The PipelineManager expect the field 'input_pattern' to be in your config file")
# uses the provided sequana_wrappers version if any, otherwise use the main branch of the wrappers
if "sequana_wrappers" not in cfg.config:
logger.warning(
"This pipeline has no sequana_wrappers in its config file. Using the branch 'main' by default"
)
self.wrappers = cfg.config.get("sequana_wrappers", "main")
readtag = cfg.config.get("input_readtag", None)
use_fastq_factory = True if readtag else False
# input_pattern is required. input_directory may be optional
# do we have an input_directory ? If so, input_pattern is required
if "input_directory" in cfg.config and cfg.config.input_directory:
directory = cfg.config.input_directory.strip()
if not os.path.isdir(directory):
self.error(f"The ({directory}) directory does not exist.")
if cfg.config.input_pattern:
glob_dir = directory + os.sep + cfg.config.input_pattern
# otherwise, the input_pattern must be provided (checked above) and valid
elif cfg.config.input_pattern:
glob_dir = cfg.config.input_pattern
# if user set the sample func, no need for fileFactory
# The config uses the input_directory and input_pattern (compulsary).
if sample_func:
logger.info("Using sample_func function to get sample names as provided by the pipeline/user")
path = cfg.config["input_directory"]
pattern = cfg.config["input_pattern"]
if path.strip():
pattern = path + os.sep + pattern
self._get_any_files(pattern)
# Here, we overwrite the sample name definition from sequana_pipetools to use the
# function provided by the user.
self.samples = {sample_func(filename): filename for filename in self.ff.realpaths}
logger.info(f"Found {len(self.samples)} samples")
elif use_fastq_factory:
logger.info(f"Using FastQFactory (readtag {readtag})")
self._get_fastq_files(glob_dir, cfg.config.input_readtag)
if self.paired:
logger.info("Paired data found")
else:
logger.info(f"Using FileFactory (no readtag)")
self._get_any_files(glob_dir)
logger.info(f"Found {len(self.samples)} samples")
if not self.ff.filenames:
self.error(f"No files were found with pattern {glob_dir} and read tag {readtag}.")
# finally, keep track of the config file
self.config = cfg.config
def _get_paired(self):
try:
return self.ff.paired
except AttributeError:
return False
paired = property(_get_paired)
def _get_fastq_files(self, glob_dir, read_tag):
""" """
self.ff = FastQFactory(
glob_dir,
read_tag=read_tag,
extra_prefixes_to_strip=self.extra_prefixes_to_strip,
sample_pattern=self.sample_pattern,
)
# check whether it is paired or not. This is just to raise an error when
# there is inconsistent mix of R1 and R2
self.paired
# samples contains a correspondance between the sample name and the
# real filename location.
self.samples = {
tag: [self.ff.get_file1(tag), self.ff.get_file2(tag)]
if self.ff.get_file2(tag)
else [self.ff.get_file1(tag)]
for tag in self.ff.tags
}
if len(self.ff.tags) == 0:
raise ValueError(
"Could not find Fastq files files with valid format "
"(NAME_R1_<SUFFIX>.fastq.gz where <SUFFIX> is "
"optional"
)
def _get_any_files(self, pattern):
self.ff = FileFactory(
pattern, extra_prefixes_to_strip=self.extra_prefixes_to_strip, sample_pattern=self.sample_pattern
)
# samples contains a correspondance between the sample name and the
# real filename location.
self.samples = {tag: fl for tag, fl in zip(self.ff.filenames, self.ff.realpaths)}
[docs]
def getrawdata(self):
"""Return list of raw data
This function contains a wildcard to each of the samples found by the manager.
"""
return lambda wildcards: self.samples[wildcards.sample]