--- /dev/null
+"""
+Analyze ELAND files
+"""
+
+from glob import glob
+import logging
+import os
+import stat
+
+from htsworkflow.pipelines.runfolder import ElementTree
+from htsworkflow.util.ethelp import indent, flatten
+from htsworkflow.util.opener import autoopen
+
+class ElandLane(object):
+ """
+ Process an eland result file
+ """
+ XML_VERSION = 1
+ LANE = 'ElandLane'
+ SAMPLE_NAME = 'SampleName'
+ LANE_ID = 'LaneID'
+ GENOME_MAP = 'GenomeMap'
+ GENOME_ITEM = 'GenomeItem'
+ MAPPED_READS = 'MappedReads'
+ MAPPED_ITEM = 'MappedItem'
+ MATCH_CODES = 'MatchCodes'
+ MATCH_ITEM = 'Code'
+ READS = 'Reads'
+
+ def __init__(self, pathname=None, genome_map=None, xml=None):
+ self.pathname = pathname
+ self._sample_name = None
+ self._lane_id = None
+ self._reads = None
+ self._mapped_reads = None
+ self._match_codes = None
+ if genome_map is None:
+ genome_map = {}
+ self.genome_map = genome_map
+
+ if xml is not None:
+ self.set_elements(xml)
+
+ def _update(self):
+ """
+ Actually read the file and actually count the reads
+ """
+ # can't do anything if we don't have a file to process
+ if self.pathname is None:
+ return
+
+ if os.stat(self.pathname)[stat.ST_SIZE] == 0:
+ raise RuntimeError("Eland isn't done, try again later.")
+
+ logging.info("summarizing results for %s" % (self.pathname))
+ reads = 0
+ mapped_reads = {}
+
+ match_codes = {'NM':0, 'QC':0, 'RM':0,
+ 'U0':0, 'U1':0, 'U2':0,
+ 'R0':0, 'R1':0, 'R2':0,
+ }
+ for line in autoopen(self.pathname,'r'):
+ reads += 1
+ fields = line.split()
+ # code = fields[2]
+ # match_codes[code] = match_codes.setdefault(code, 0) + 1
+ # the QC/NM etc codes are in the 3rd field and always present
+ match_codes[fields[2]] += 1
+ # ignore lines that don't have a fasta filename
+ if len(fields) < 7:
+ continue
+ fasta = self.genome_map.get(fields[6], fields[6])
+ mapped_reads[fasta] = mapped_reads.setdefault(fasta, 0) + 1
+ self._match_codes = match_codes
+ self._mapped_reads = mapped_reads
+ self._reads = reads
+
+ def _update_name(self):
+ # extract the sample name
+ if self.pathname is None:
+ return
+
+ path, name = os.path.split(self.pathname)
+ split_name = name.split('_')
+ self._sample_name = split_name[0]
+ self._lane_id = split_name[1]
+
+ def _get_sample_name(self):
+ if self._sample_name is None:
+ self._update_name()
+ return self._sample_name
+ sample_name = property(_get_sample_name)
+
+ def _get_lane_id(self):
+ if self._lane_id is None:
+ self._update_name()
+ return self._lane_id
+ lane_id = property(_get_lane_id)
+
+ def _get_reads(self):
+ if self._reads is None:
+ self._update()
+ return self._reads
+ reads = property(_get_reads)
+
+ def _get_mapped_reads(self):
+ if self._mapped_reads is None:
+ self._update()
+ return self._mapped_reads
+ mapped_reads = property(_get_mapped_reads)
+
+ def _get_match_codes(self):
+ if self._match_codes is None:
+ self._update()
+ return self._match_codes
+ match_codes = property(_get_match_codes)
+
+ def get_elements(self):
+ lane = ElementTree.Element(ElandLane.LANE,
+ {'version':
+ unicode(ElandLane.XML_VERSION)})
+ sample_tag = ElementTree.SubElement(lane, ElandLane.SAMPLE_NAME)
+ sample_tag.text = self.sample_name
+ lane_tag = ElementTree.SubElement(lane, ElandLane.LANE_ID)
+ lane_tag.text = self.lane_id
+ genome_map = ElementTree.SubElement(lane, ElandLane.GENOME_MAP)
+ for k, v in self.genome_map.items():
+ item = ElementTree.SubElement(
+ genome_map, ElandLane.GENOME_ITEM,
+ {'name':k, 'value':unicode(v)})
+ mapped_reads = ElementTree.SubElement(lane, ElandLane.MAPPED_READS)
+ for k, v in self.mapped_reads.items():
+ item = ElementTree.SubElement(
+ mapped_reads, ElandLane.MAPPED_ITEM,
+ {'name':k, 'value':unicode(v)})
+ match_codes = ElementTree.SubElement(lane, ElandLane.MATCH_CODES)
+ for k, v in self.match_codes.items():
+ item = ElementTree.SubElement(
+ match_codes, ElandLane.MATCH_ITEM,
+ {'name':k, 'value':unicode(v)})
+ reads = ElementTree.SubElement(lane, ElandLane.READS)
+ reads.text = unicode(self.reads)
+
+ return lane
+
+ def set_elements(self, tree):
+ if tree.tag != ElandLane.LANE:
+ raise ValueError('Exptecting %s' % (ElandLane.LANE,))
+
+ # reset dictionaries
+ self._mapped_reads = {}
+ self._match_codes = {}
+
+ for element in tree:
+ tag = element.tag.lower()
+ if tag == ElandLane.SAMPLE_NAME.lower():
+ self._sample_name = element.text
+ elif tag == ElandLane.LANE_ID.lower():
+ self._lane_id = element.text
+ elif tag == ElandLane.GENOME_MAP.lower():
+ for child in element:
+ name = child.attrib['name']
+ value = child.attrib['value']
+ self.genome_map[name] = value
+ elif tag == ElandLane.MAPPED_READS.lower():
+ for child in element:
+ name = child.attrib['name']
+ value = child.attrib['value']
+ self._mapped_reads[name] = int(value)
+ elif tag == ElandLane.MATCH_CODES.lower():
+ for child in element:
+ name = child.attrib['name']
+ value = int(child.attrib['value'])
+ self._match_codes[name] = value
+ elif tag == ElandLane.READS.lower():
+ self._reads = int(element.text)
+ else:
+ logging.warn("ElandLane unrecognized tag %s" % (element.tag,))
+
+class ELAND(object):
+ """
+ Summarize information from eland files
+ """
+ XML_VERSION = 1
+
+ ELAND = 'ElandCollection'
+ LANE = 'Lane'
+ LANE_ID = 'id'
+
+ def __init__(self, xml=None):
+ # we need information from the gerald config.xml
+ self.results = {}
+
+ if xml is not None:
+ self.set_elements(xml)
+
+ def __len__(self):
+ return len(self.results)
+
+ def keys(self):
+ return self.results.keys()
+
+ def values(self):
+ return self.results.values()
+
+ def items(self):
+ return self.results.items()
+
+ def __getitem__(self, key):
+ return self.results[key]
+
+ def get_elements(self):
+ root = ElementTree.Element(ELAND.ELAND,
+ {'version': unicode(ELAND.XML_VERSION)})
+ for lane_id, lane in self.results.items():
+ eland_lane = lane.get_elements()
+ eland_lane.attrib[ELAND.LANE_ID] = unicode(lane_id)
+ root.append(eland_lane)
+ return root
+
+ def set_elements(self, tree):
+ if tree.tag.lower() != ELAND.ELAND.lower():
+ raise ValueError('Expecting %s', ELAND.ELAND)
+ for element in list(tree):
+ lane_id = element.attrib[ELAND.LANE_ID]
+ lane = ElandLane(xml=element)
+ self.results[lane_id] = lane
+
+def eland(basedir, gerald=None, genome_maps=None):
+ e = ELAND()
+
+ file_list = glob(os.path.join(basedir, "*_eland_result.txt"))
+ if len(file_list) == 0:
+ # lets handle compressed eland files too
+ file_list = glob(os.path.join(basedir, "*_eland_result.txt.bz2"))
+
+ for pathname in file_list:
+ # yes the lane_id is also being computed in ElandLane._update
+ # I didn't want to clutter up my constructor
+ # but I needed to persist the sample_name/lane_id for
+ # runfolder summary_report
+ path, name = os.path.split(pathname)
+ logging.info("Adding eland file %s" %(name,))
+ split_name = name.split('_')
+ lane_id = split_name[1]
+
+ if genome_maps is not None:
+ genome_map = genome_maps[lane_id]
+ elif gerald is not None:
+ genome_dir = gerald.lanes[lane_id].eland_genome
+ genome_map = build_genome_fasta_map(genome_dir)
+ else:
+ genome_map = {}
+
+ eland_result = ElandLane(pathname, genome_map)
+ e.results[lane_id] = eland_result
+ return e
+
+def build_genome_fasta_map(genome_dir):
+ # build fasta to fasta file map
+ logging.info("Building genome map")
+ genome = genome_dir.split(os.path.sep)[-1]
+ fasta_map = {}
+ for vld_file in glob(os.path.join(genome_dir, '*.vld')):
+ is_link = False
+ if os.path.islink(vld_file):
+ is_link = True
+ vld_file = os.path.realpath(vld_file)
+ path, vld_name = os.path.split(vld_file)
+ name, ext = os.path.splitext(vld_name)
+ if is_link:
+ fasta_map[name] = name
+ else:
+ fasta_map[name] = os.path.join(genome, name)
+ return fasta_map
+
+
+def extract_eland_sequence(instream, outstream, start, end):
+ """
+ Extract a chunk of sequence out of an eland file
+ """
+ for line in instream:
+ record = line.split()
+ if len(record) > 1:
+ result = [record[0], record[1][start:end]]
+ else:
+ result = [record[0][start:end]]
+ outstream.write("\t".join(result))
+ outstream.write(os.linesep)
+
Provide access to information stored in the GERALD directory.
"""
from datetime import datetime, date
-from glob import glob
import logging
import os
-import stat
import time
-import types
+
+from htsworkflow.pipelines.summary import Summary
+from htsworkflow.pipelines.eland import eland
from htsworkflow.pipelines.runfolder import \
ElementTree, \
LANES_PER_FLOWCELL, \
VERSION_RE
from htsworkflow.util.ethelp import indent, flatten
-from htsworkflow.util.opener import autoopen
class Gerald(object):
"""
g.eland_results = eland(g.pathname, g)
return g
-def tonumber(v):
- """
- Convert a value to int if its an int otherwise a float.
- """
- try:
- v = int(v)
- except ValueError, e:
- v = float(v)
- return v
-
-def parse_mean_range(value):
- """
- Parse values like 123 +/- 4.5
- """
- if value.strip() == 'unknown':
- return 0, 0
-
- average, pm, deviation = value.split()
- if pm != '+/-':
- raise RuntimeError("Summary.htm file format changed")
- return tonumber(average), tonumber(deviation)
-
-def make_mean_range_element(parent, name, mean, deviation):
- """
- Make an ElementTree subelement <Name mean='mean', deviation='deviation'/>
- """
- element = ElementTree.SubElement(parent, name,
- { 'mean': unicode(mean),
- 'deviation': unicode(deviation)})
- return element
-
-def parse_mean_range_element(element):
- """
- Grab mean/deviation out of element
- """
- return (tonumber(element.attrib['mean']),
- tonumber(element.attrib['deviation']))
-
-def parse_summary_element(element):
- """
- Determine if we have a simple element or a mean/deviation element
- """
- if len(element.attrib) > 0:
- return parse_mean_range_element(element)
- else:
- return element.text
-
-class Summary(object):
- """
- Extract some useful information from the Summary.htm file
- """
- XML_VERSION = 2
- SUMMARY = 'Summary'
-
- class LaneResultSummary(object):
- """
- Parse the LaneResultSummary table out of Summary.htm
- Mostly for the cluster number
- """
- LANE_RESULT_SUMMARY = 'LaneResultSummary'
- TAGS = {
- 'LaneYield': 'lane_yield',
- 'Cluster': 'cluster', # Raw
- 'ClusterPF': 'cluster_pass_filter',
- 'AverageFirstCycleIntensity': 'average_first_cycle_intensity',
- 'PercentIntensityAfter20Cycles': 'percent_intensity_after_20_cycles',
- 'PercentPassFilterClusters': 'percent_pass_filter_clusters',
- 'PercentPassFilterAlign': 'percent_pass_filter_align',
- 'AverageAlignmentScore': 'average_alignment_score',
- 'PercentErrorRate': 'percent_error_rate'
- }
-
- def __init__(self, html=None, xml=None):
- self.lane = None
- self.lane_yield = None
- self.cluster = None
- self.cluster_pass_filter = None
- self.average_first_cycle_intensity = None
- self.percent_intensity_after_20_cycles = None
- self.percent_pass_filter_clusters = None
- self.percent_pass_filter_align = None
- self.average_alignment_score = None
- self.percent_error_rate = None
-
- if html is not None:
- self.set_elements_from_html(html)
- if xml is not None:
- self.set_elements(xml)
-
- def set_elements_from_html(self, data):
- if not len(data) in (8,10):
- raise RuntimeError("Summary.htm file format changed")
-
- # same in pre-0.3.0 Summary file and 0.3 summary file
- self.lane = data[0]
-
- if len(data) == 8:
- parsed_data = [ parse_mean_range(x) for x in data[1:] ]
- # this is the < 0.3 Pipeline version
- self.cluster = parsed_data[0]
- self.average_first_cycle_intensity = parsed_data[1]
- self.percent_intensity_after_20_cycles = parsed_data[2]
- self.percent_pass_filter_clusters = parsed_data[3]
- self.percent_pass_filter_align = parsed_data[4]
- self.average_alignment_score = parsed_data[5]
- self.percent_error_rate = parsed_data[6]
- elif len(data) == 10:
- parsed_data = [ parse_mean_range(x) for x in data[2:] ]
- # this is the >= 0.3 summary file
- self.lane_yield = data[1]
- self.cluster = parsed_data[0]
- self.cluster_pass_filter = parsed_data[1]
- self.average_first_cycle_intensity = parsed_data[2]
- self.percent_intensity_after_20_cycles = parsed_data[3]
- self.percent_pass_filter_clusters = parsed_data[4]
- self.percent_pass_filter_align = parsed_data[5]
- self.average_alignment_score = parsed_data[6]
- self.percent_error_rate = parsed_data[7]
-
- def get_elements(self):
- lane_result = ElementTree.Element(
- Summary.LaneResultSummary.LANE_RESULT_SUMMARY,
- {'lane': self.lane})
- for tag, variable_name in Summary.LaneResultSummary.TAGS.items():
- value = getattr(self, variable_name)
- if value is None:
- continue
- # it looks like a sequence
- elif type(value) in (types.TupleType, types.ListType):
- element = make_mean_range_element(
- lane_result,
- tag,
- *value
- )
- else:
- element = ElementTree.SubElement(lane_result, tag)
- element.text = value
- return lane_result
-
- def set_elements(self, tree):
- if tree.tag != Summary.LaneResultSummary.LANE_RESULT_SUMMARY:
- raise ValueError('Expected %s' % (
- Summary.LaneResultSummary.LANE_RESULT_SUMMARY))
- self.lane = tree.attrib['lane']
- tags = Summary.LaneResultSummary.TAGS
- for element in list(tree):
- try:
- variable_name = tags[element.tag]
- setattr(self, variable_name,
- parse_summary_element(element))
- except KeyError, e:
- logging.warn('Unrecognized tag %s' % (element.tag,))
-
- def __init__(self, filename=None, xml=None):
- self.lane_results = {}
-
- if filename is not None:
- self._extract_lane_results(filename)
- if xml is not None:
- self.set_elements(xml)
-
- def __getitem__(self, key):
- return self.lane_results[key]
-
- def __len__(self):
- return len(self.lane_results)
-
- def keys(self):
- return self.lane_results.keys()
-
- def values(self):
- return self.lane_results.values()
-
- def items(self):
- return self.lane_results.items()
-
- def _flattened_row(self, row):
- """
- flatten the children of a <tr>...</tr>
- """
- return [flatten(x) for x in row.getchildren() ]
-
- def _parse_table(self, table):
- """
- assumes the first line is the header of a table,
- and that the remaining rows are data
- """
- rows = table.getchildren()
- data = []
- for r in rows:
- data.append(self._flattened_row(r))
- return data
-
- def _extract_named_tables(self, pathname):
- """
- extract all the 'named' tables from a Summary.htm file
- and return as a dictionary
-
- Named tables are <h2>...</h2><table>...</table> pairs
- The contents of the h2 tag is considered to the name
- of the table.
- """
- tree = ElementTree.parse(pathname).getroot()
- body = tree.find('body')
- tables = {}
- for i in range(len(body)):
- if body[i].tag == 'h2' and body[i+1].tag == 'table':
- # we have an interesting table
- name = flatten(body[i])
- table = body[i+1]
- data = self._parse_table(table)
- tables[name] = data
- return tables
-
- def _extract_lane_results(self, pathname):
- """
- extract the Lane Results Summary table
- """
-
- tables = self._extract_named_tables(pathname)
-
- # parse lane result summary
- lane_summary = tables['Lane Results Summary']
- # this is version 1 of the summary file
- if len(lane_summary[-1]) == 8:
- # strip header
- headers = lane_summary[0]
- # grab the lane by lane data
- lane_summary = lane_summary[1:]
-
- # this is version 2 of the summary file
- if len(lane_summary[-1]) == 10:
- # lane_summary[0] is a different less specific header row
- headers = lane_summary[1]
- lane_summary = lane_summary[2:10]
- # after the last lane, there's a set of chip wide averages
-
- for r in lane_summary:
- lrs = Summary.LaneResultSummary(html=r)
- self.lane_results[lrs.lane] = lrs
-
- def get_elements(self):
- summary = ElementTree.Element(Summary.SUMMARY,
- {'version': unicode(Summary.XML_VERSION)})
- for lane in self.lane_results.values():
- summary.append(lane.get_elements())
- return summary
-
- def set_elements(self, tree):
- if tree.tag != Summary.SUMMARY:
- return ValueError("Expected %s" % (Summary.SUMMARY,))
- xml_version = int(tree.attrib.get('version', 0))
- if xml_version > Summary.XML_VERSION:
- logging.warn('Summary XML tree is a higher version than this class')
- for element in list(tree):
- lrs = Summary.LaneResultSummary()
- lrs.set_elements(element)
- self.lane_results[lrs.lane] = lrs
-
- def dump(self):
- """
- Debugging function, report current object
- """
- pass
-
-
-def build_genome_fasta_map(genome_dir):
- # build fasta to fasta file map
- logging.info("Building genome map")
- genome = genome_dir.split(os.path.sep)[-1]
- fasta_map = {}
- for vld_file in glob(os.path.join(genome_dir, '*.vld')):
- is_link = False
- if os.path.islink(vld_file):
- is_link = True
- vld_file = os.path.realpath(vld_file)
- path, vld_name = os.path.split(vld_file)
- name, ext = os.path.splitext(vld_name)
- if is_link:
- fasta_map[name] = name
- else:
- fasta_map[name] = os.path.join(genome, name)
- return fasta_map
-
-class ElandLane(object):
- """
- Process an eland result file
- """
- XML_VERSION = 1
- LANE = 'ElandLane'
- SAMPLE_NAME = 'SampleName'
- LANE_ID = 'LaneID'
- GENOME_MAP = 'GenomeMap'
- GENOME_ITEM = 'GenomeItem'
- MAPPED_READS = 'MappedReads'
- MAPPED_ITEM = 'MappedItem'
- MATCH_CODES = 'MatchCodes'
- MATCH_ITEM = 'Code'
- READS = 'Reads'
-
- def __init__(self, pathname=None, genome_map=None, xml=None):
- self.pathname = pathname
- self._sample_name = None
- self._lane_id = None
- self._reads = None
- self._mapped_reads = None
- self._match_codes = None
- if genome_map is None:
- genome_map = {}
- self.genome_map = genome_map
-
- if xml is not None:
- self.set_elements(xml)
-
- def _update(self):
- """
- Actually read the file and actually count the reads
- """
- # can't do anything if we don't have a file to process
- if self.pathname is None:
- return
-
- if os.stat(self.pathname)[stat.ST_SIZE] == 0:
- raise RuntimeError("Eland isn't done, try again later.")
-
- logging.info("summarizing results for %s" % (self.pathname))
- reads = 0
- mapped_reads = {}
-
- match_codes = {'NM':0, 'QC':0, 'RM':0,
- 'U0':0, 'U1':0, 'U2':0,
- 'R0':0, 'R1':0, 'R2':0,
- }
- for line in autoopen(self.pathname,'r'):
- reads += 1
- fields = line.split()
- # code = fields[2]
- # match_codes[code] = match_codes.setdefault(code, 0) + 1
- # the QC/NM etc codes are in the 3rd field and always present
- match_codes[fields[2]] += 1
- # ignore lines that don't have a fasta filename
- if len(fields) < 7:
- continue
- fasta = self.genome_map.get(fields[6], fields[6])
- mapped_reads[fasta] = mapped_reads.setdefault(fasta, 0) + 1
- self._match_codes = match_codes
- self._mapped_reads = mapped_reads
- self._reads = reads
-
- def _update_name(self):
- # extract the sample name
- if self.pathname is None:
- return
-
- path, name = os.path.split(self.pathname)
- split_name = name.split('_')
- self._sample_name = split_name[0]
- self._lane_id = split_name[1]
-
- def _get_sample_name(self):
- if self._sample_name is None:
- self._update_name()
- return self._sample_name
- sample_name = property(_get_sample_name)
-
- def _get_lane_id(self):
- if self._lane_id is None:
- self._update_name()
- return self._lane_id
- lane_id = property(_get_lane_id)
-
- def _get_reads(self):
- if self._reads is None:
- self._update()
- return self._reads
- reads = property(_get_reads)
-
- def _get_mapped_reads(self):
- if self._mapped_reads is None:
- self._update()
- return self._mapped_reads
- mapped_reads = property(_get_mapped_reads)
-
- def _get_match_codes(self):
- if self._match_codes is None:
- self._update()
- return self._match_codes
- match_codes = property(_get_match_codes)
-
- def get_elements(self):
- lane = ElementTree.Element(ElandLane.LANE,
- {'version':
- unicode(ElandLane.XML_VERSION)})
- sample_tag = ElementTree.SubElement(lane, ElandLane.SAMPLE_NAME)
- sample_tag.text = self.sample_name
- lane_tag = ElementTree.SubElement(lane, ElandLane.LANE_ID)
- lane_tag.text = self.lane_id
- genome_map = ElementTree.SubElement(lane, ElandLane.GENOME_MAP)
- for k, v in self.genome_map.items():
- item = ElementTree.SubElement(
- genome_map, ElandLane.GENOME_ITEM,
- {'name':k, 'value':unicode(v)})
- mapped_reads = ElementTree.SubElement(lane, ElandLane.MAPPED_READS)
- for k, v in self.mapped_reads.items():
- item = ElementTree.SubElement(
- mapped_reads, ElandLane.MAPPED_ITEM,
- {'name':k, 'value':unicode(v)})
- match_codes = ElementTree.SubElement(lane, ElandLane.MATCH_CODES)
- for k, v in self.match_codes.items():
- item = ElementTree.SubElement(
- match_codes, ElandLane.MATCH_ITEM,
- {'name':k, 'value':unicode(v)})
- reads = ElementTree.SubElement(lane, ElandLane.READS)
- reads.text = unicode(self.reads)
-
- return lane
-
- def set_elements(self, tree):
- if tree.tag != ElandLane.LANE:
- raise ValueError('Exptecting %s' % (ElandLane.LANE,))
-
- # reset dictionaries
- self._mapped_reads = {}
- self._match_codes = {}
-
- for element in tree:
- tag = element.tag.lower()
- if tag == ElandLane.SAMPLE_NAME.lower():
- self._sample_name = element.text
- elif tag == ElandLane.LANE_ID.lower():
- self._lane_id = element.text
- elif tag == ElandLane.GENOME_MAP.lower():
- for child in element:
- name = child.attrib['name']
- value = child.attrib['value']
- self.genome_map[name] = value
- elif tag == ElandLane.MAPPED_READS.lower():
- for child in element:
- name = child.attrib['name']
- value = child.attrib['value']
- self._mapped_reads[name] = int(value)
- elif tag == ElandLane.MATCH_CODES.lower():
- for child in element:
- name = child.attrib['name']
- value = int(child.attrib['value'])
- self._match_codes[name] = value
- elif tag == ElandLane.READS.lower():
- self._reads = int(element.text)
- else:
- logging.warn("ElandLane unrecognized tag %s" % (element.tag,))
-
-def extract_eland_sequence(instream, outstream, start, end):
- """
- Extract a chunk of sequence out of an eland file
- """
- for line in instream:
- record = line.split()
- if len(record) > 1:
- result = [record[0], record[1][start:end]]
- else:
- result = [record[0][start:end]]
- outstream.write("\t".join(result))
- outstream.write(os.linesep)
-
-class ELAND(object):
- """
- Summarize information from eland files
- """
- XML_VERSION = 1
-
- ELAND = 'ElandCollection'
- LANE = 'Lane'
- LANE_ID = 'id'
-
- def __init__(self, xml=None):
- # we need information from the gerald config.xml
- self.results = {}
-
- if xml is not None:
- self.set_elements(xml)
-
- def __len__(self):
- return len(self.results)
-
- def keys(self):
- return self.results.keys()
-
- def values(self):
- return self.results.values()
-
- def items(self):
- return self.results.items()
-
- def __getitem__(self, key):
- return self.results[key]
-
- def get_elements(self):
- root = ElementTree.Element(ELAND.ELAND,
- {'version': unicode(ELAND.XML_VERSION)})
- for lane_id, lane in self.results.items():
- eland_lane = lane.get_elements()
- eland_lane.attrib[ELAND.LANE_ID] = unicode(lane_id)
- root.append(eland_lane)
- return root
-
- def set_elements(self, tree):
- if tree.tag.lower() != ELAND.ELAND.lower():
- raise ValueError('Expecting %s', ELAND.ELAND)
- for element in list(tree):
- lane_id = element.attrib[ELAND.LANE_ID]
- lane = ElandLane(xml=element)
- self.results[lane_id] = lane
-
-def eland(basedir, gerald=None, genome_maps=None):
- e = ELAND()
-
- file_list = glob(os.path.join(basedir, "*_eland_result.txt"))
- if len(file_list) == 0:
- # lets handle compressed eland files too
- file_list = glob(os.path.join(basedir, "*_eland_result.txt.bz2"))
-
- for pathname in file_list:
- # yes the lane_id is also being computed in ElandLane._update
- # I didn't want to clutter up my constructor
- # but I needed to persist the sample_name/lane_id for
- # runfolder summary_report
- path, name = os.path.split(pathname)
- logging.info("Adding eland file %s" %(name,))
- split_name = name.split('_')
- lane_id = split_name[1]
-
- if genome_maps is not None:
- genome_map = genome_maps[lane_id]
- elif gerald is not None:
- genome_dir = gerald.lanes[lane_id].eland_genome
- genome_map = build_genome_fasta_map(genome_dir)
- else:
- genome_map = {}
-
- eland_result = ElandLane(pathname, genome_map)
- e.results[lane_id] = eland_result
- return e
--- /dev/null
+"""
+Analyze the Summary.htm file produced by GERALD
+"""
+
+
+from htsworkflow.pipelines.runfolder import ElementTree
+from htsworkflow.util.ethelp import indent, flatten
+
+class Summary(object):
+ """
+ Extract some useful information from the Summary.htm file
+ """
+ XML_VERSION = 2
+ SUMMARY = 'Summary'
+
+ class LaneResultSummary(object):
+ """
+ Parse the LaneResultSummary table out of Summary.htm
+ Mostly for the cluster number
+ """
+ LANE_RESULT_SUMMARY = 'LaneResultSummary'
+ TAGS = {
+ 'LaneYield': 'lane_yield',
+ 'Cluster': 'cluster', # Raw
+ 'ClusterPF': 'cluster_pass_filter',
+ 'AverageFirstCycleIntensity': 'average_first_cycle_intensity',
+ 'PercentIntensityAfter20Cycles': 'percent_intensity_after_20_cycles',
+ 'PercentPassFilterClusters': 'percent_pass_filter_clusters',
+ 'PercentPassFilterAlign': 'percent_pass_filter_align',
+ 'AverageAlignmentScore': 'average_alignment_score',
+ 'PercentErrorRate': 'percent_error_rate'
+ }
+
+ def __init__(self, html=None, xml=None):
+ self.lane = None
+ self.lane_yield = None
+ self.cluster = None
+ self.cluster_pass_filter = None
+ self.average_first_cycle_intensity = None
+ self.percent_intensity_after_20_cycles = None
+ self.percent_pass_filter_clusters = None
+ self.percent_pass_filter_align = None
+ self.average_alignment_score = None
+ self.percent_error_rate = None
+
+ if html is not None:
+ self.set_elements_from_html(html)
+ if xml is not None:
+ self.set_elements(xml)
+
+ def set_elements_from_html(self, data):
+ if not len(data) in (8,10):
+ raise RuntimeError("Summary.htm file format changed")
+
+ # same in pre-0.3.0 Summary file and 0.3 summary file
+ self.lane = data[0]
+
+ if len(data) == 8:
+ parsed_data = [ parse_mean_range(x) for x in data[1:] ]
+ # this is the < 0.3 Pipeline version
+ self.cluster = parsed_data[0]
+ self.average_first_cycle_intensity = parsed_data[1]
+ self.percent_intensity_after_20_cycles = parsed_data[2]
+ self.percent_pass_filter_clusters = parsed_data[3]
+ self.percent_pass_filter_align = parsed_data[4]
+ self.average_alignment_score = parsed_data[5]
+ self.percent_error_rate = parsed_data[6]
+ elif len(data) == 10:
+ parsed_data = [ parse_mean_range(x) for x in data[2:] ]
+ # this is the >= 0.3 summary file
+ self.lane_yield = data[1]
+ self.cluster = parsed_data[0]
+ self.cluster_pass_filter = parsed_data[1]
+ self.average_first_cycle_intensity = parsed_data[2]
+ self.percent_intensity_after_20_cycles = parsed_data[3]
+ self.percent_pass_filter_clusters = parsed_data[4]
+ self.percent_pass_filter_align = parsed_data[5]
+ self.average_alignment_score = parsed_data[6]
+ self.percent_error_rate = parsed_data[7]
+
+ def get_elements(self):
+ lane_result = ElementTree.Element(
+ Summary.LaneResultSummary.LANE_RESULT_SUMMARY,
+ {'lane': self.lane})
+ for tag, variable_name in Summary.LaneResultSummary.TAGS.items():
+ value = getattr(self, variable_name)
+ if value is None:
+ continue
+ # it looks like a sequence
+ elif type(value) in (types.TupleType, types.ListType):
+ element = make_mean_range_element(
+ lane_result,
+ tag,
+ *value
+ )
+ else:
+ element = ElementTree.SubElement(lane_result, tag)
+ element.text = value
+ return lane_result
+
+ def set_elements(self, tree):
+ if tree.tag != Summary.LaneResultSummary.LANE_RESULT_SUMMARY:
+ raise ValueError('Expected %s' % (
+ Summary.LaneResultSummary.LANE_RESULT_SUMMARY))
+ self.lane = tree.attrib['lane']
+ tags = Summary.LaneResultSummary.TAGS
+ for element in list(tree):
+ try:
+ variable_name = tags[element.tag]
+ setattr(self, variable_name,
+ parse_summary_element(element))
+ except KeyError, e:
+ logging.warn('Unrecognized tag %s' % (element.tag,))
+
+ def __init__(self, filename=None, xml=None):
+ self.lane_results = {}
+
+ if filename is not None:
+ self._extract_lane_results(filename)
+ if xml is not None:
+ self.set_elements(xml)
+
+ def __getitem__(self, key):
+ return self.lane_results[key]
+
+ def __len__(self):
+ return len(self.lane_results)
+
+ def keys(self):
+ return self.lane_results.keys()
+
+ def values(self):
+ return self.lane_results.values()
+
+ def items(self):
+ return self.lane_results.items()
+
+ def _flattened_row(self, row):
+ """
+ flatten the children of a <tr>...</tr>
+ """
+ return [flatten(x) for x in row.getchildren() ]
+
+ def _parse_table(self, table):
+ """
+ assumes the first line is the header of a table,
+ and that the remaining rows are data
+ """
+ rows = table.getchildren()
+ data = []
+ for r in rows:
+ data.append(self._flattened_row(r))
+ return data
+
+ def _extract_named_tables(self, pathname):
+ """
+ extract all the 'named' tables from a Summary.htm file
+ and return as a dictionary
+
+ Named tables are <h2>...</h2><table>...</table> pairs
+ The contents of the h2 tag is considered to the name
+ of the table.
+ """
+ tree = ElementTree.parse(pathname).getroot()
+ body = tree.find('body')
+ tables = {}
+ for i in range(len(body)):
+ if body[i].tag == 'h2' and body[i+1].tag == 'table':
+ # we have an interesting table
+ name = flatten(body[i])
+ table = body[i+1]
+ data = self._parse_table(table)
+ tables[name] = data
+ return tables
+
+ def _extract_lane_results(self, pathname):
+ """
+ extract the Lane Results Summary table
+ """
+
+ tables = self._extract_named_tables(pathname)
+
+ # parse lane result summary
+ lane_summary = tables['Lane Results Summary']
+ # this is version 1 of the summary file
+ if len(lane_summary[-1]) == 8:
+ # strip header
+ headers = lane_summary[0]
+ # grab the lane by lane data
+ lane_summary = lane_summary[1:]
+
+ # this is version 2 of the summary file
+ if len(lane_summary[-1]) == 10:
+ # lane_summary[0] is a different less specific header row
+ headers = lane_summary[1]
+ lane_summary = lane_summary[2:10]
+ # after the last lane, there's a set of chip wide averages
+
+ for r in lane_summary:
+ lrs = Summary.LaneResultSummary(html=r)
+ self.lane_results[lrs.lane] = lrs
+
+ def get_elements(self):
+ summary = ElementTree.Element(Summary.SUMMARY,
+ {'version': unicode(Summary.XML_VERSION)})
+ for lane in self.lane_results.values():
+ summary.append(lane.get_elements())
+ return summary
+
+ def set_elements(self, tree):
+ if tree.tag != Summary.SUMMARY:
+ return ValueError("Expected %s" % (Summary.SUMMARY,))
+ xml_version = int(tree.attrib.get('version', 0))
+ if xml_version > Summary.XML_VERSION:
+ logging.warn('Summary XML tree is a higher version than this class')
+ for element in list(tree):
+ lrs = Summary.LaneResultSummary()
+ lrs.set_elements(element)
+ self.lane_results[lrs.lane] = lrs
+
+ def dump(self):
+ """
+ Debugging function, report current object
+ """
+ pass
+
+def tonumber(v):
+ """
+ Convert a value to int if its an int otherwise a float.
+ """
+ try:
+ v = int(v)
+ except ValueError, e:
+ v = float(v)
+ return v
+
+def parse_mean_range(value):
+ """
+ Parse values like 123 +/- 4.5
+ """
+ if value.strip() == 'unknown':
+ return 0, 0
+
+ average, pm, deviation = value.split()
+ if pm != '+/-':
+ raise RuntimeError("Summary.htm file format changed")
+ return tonumber(average), tonumber(deviation)
+
+def make_mean_range_element(parent, name, mean, deviation):
+ """
+ Make an ElementTree subelement <Name mean='mean', deviation='deviation'/>
+ """
+ element = ElementTree.SubElement(parent, name,
+ { 'mean': unicode(mean),
+ 'deviation': unicode(deviation)})
+ return element
+
+def parse_mean_range_element(element):
+ """
+ Grab mean/deviation out of element
+ """
+ return (tonumber(element.attrib['mean']),
+ tonumber(element.attrib['deviation']))
+
+def parse_summary_element(element):
+ """
+ Determine if we have a simple element or a mean/deviation element
+ """
+ if len(element.attrib) > 0:
+ return parse_mean_range_element(element)
+ else:
+ return element.text
import os
import sys
-from htsworkflow.pipelines.gerald import extract_eland_sequence
+from htsworkflow.pipelines.eland import extract_eland_sequence
def make_parser():
usage = "usage: %prog [options] infile [outfile]"
import sys
from htsworkflow.pipelines import gerald
+from htsworkflow.pipelines.eland import extract_eland_sequence
from htsworkflow.pipelines import runfolder
def make_query_filename(eland_obj, output_dir):
try:
instream = open(inpathname, 'r')
outstream = open(query_pathname, 'w')
- gerald.extract_eland_sequence(instream, outstream, 0, length)
+ extract_eland_sequence(instream, outstream, 0, length)
finally:
outstream.close()
instream.close()
projects / htsworkflow.git / commitdiff