Class degigned to create HTML summaries of the validation/QC of a cohort
Parameters:
| Name |
Type |
Description |
Default |
ontology
|
hpotk.MinimalOntology
|
|
required
|
cohort_validator
|
CohortValidator
|
Validator object that checks all individuals in a cohort
|
required
|
Source code in pyphetools/visualization/qc_visualizer.py
| class QcVisualizer:
"""Class degigned to create HTML summaries of the validation/QC of a cohort
:param ontology: HPO ontology
:type ontology: hpotk.MinimalOntology
:param cohort_validator: Validator object that checks all individuals in a cohort
:type cohort_validator: CohortValidator
"""
def __init__(self, cohort_validator:CohortValidator) -> None:
self._ontology = cohort_validator.get_ontology()
if not isinstance(cohort_validator, CohortValidator):
raise ValueError(f"cohort_validator argument must be CohortValidator object but was {type(cohort_validator)}")
self._cohort_validator = cohort_validator
def to_html(self) -> str:
validated_individual_list = self._cohort_validator.get_validated_individual_list()
html_lines = []
n_individuals = len(validated_individual_list)
n_individuals_with_errors = sum([1 for i in validated_individual_list if i.has_error()])
html_lines.append("<h2>Cohort validation</h2>")
if n_individuals_with_errors == 0:
html_lines.append(f"<p>No errors found for the cohort with {n_individuals} individuals</p>")
else:
para = f"<p>Errors found with {n_individuals_with_errors} of {n_individuals} phenopackets.</p>"
html_lines.append(para)
errors = []
for vi in validated_individual_list:
if vi.has_error():
errors.extend(vi.get_validation_errors())
errors = sorted(errors, key=lambda x : (x._error_level, x._category, x._message))
header_fields = ValidationResult.get_header_fields()
rows = [row.get_items_as_array() for row in errors]
generator = HtmlTableGenerator(header_items=header_fields, rows=rows, caption="Error analysis")
html_lines.append(generator.get_html())
return "\n".join(html_lines)
def to_summary_html(self) -> str:
validated_individual_list = self._get_validated_individuals()
qc_element_list = QcElement.get_qc_element_list()
error_count = defaultdict(int)
total_validation_issues = 0
distinct_item_d = defaultdict(set)
for vi in validated_individual_list:
verrors = vi.get_validation_errors()
total_validation_issues += vi.n_errors()
for ve in verrors:
error_count[ve.category] += 1
distinct_item_d[ve.category].add(ve.message)
html_lines = []
n_individuals = len(validated_individual_list)
n_individuals_with_errors = sum([1 for i in validated_individual_list if i.has_error()])
html_lines.append("<h2>Cohort validation</h2>")
if n_individuals_with_errors == 0:
html_lines.append(f"<p>No errors found for the cohort with {n_individuals} individuals</p>")
else:
para = f"<p>Errors found with {n_individuals_with_errors} of {n_individuals} phenopackets.</p>"
html_lines.append(para)
header_fields = ["Level", "Error category", "Count"]
rows = []
for elem in qc_element_list:
if elem.category in error_count:
count = error_count.get(elem.category)
row = [elem.level, elem.category, str(count)]
rows.append(row)
generator = HtmlTableGenerator(header_items=header_fields, rows=rows, caption="Error counts")
html_lines.append(generator.get_html())
n_removed = self._cohort_validator.n_removed_individuals()
n_error_free_i = self._cohort_validator.n_error_free_individuals()
if n_removed == 0:
para = f"<p>A total of {total_validation_issues} issues were fixed and no individual was removed from the cohort.</p>"
html_lines.append(para)
else:
para = f"<p>A total of {total_validation_issues} issues were fixed and {n_removed} individuals were removed from the cohort because of irreparable errors. The cohort validator will return {n_error_free_i} individual objects without errors.</p>"
html_lines.append(para)
if "MALFORMED_LABEL" in distinct_item_d:
malformed_label_set = distinct_item_d.get("MALFORMED_LABEL")
if len(malformed_label_set) > 0:
malformed = "; ".join(malformed_label_set)
para = f"<p>The following malformed labels were found: {malformed}. These need to be corrected before continuing.</p>"
html_lines.append(para)
if "REDUNDANT" in distinct_item_d:
redundant_label_set = distinct_item_d.get("REDUNDANT")
redundant = "; ".join(redundant_label_set)
para = f"<p>The following redundant terms were found: {redundant}. Redundant terms will be removed, keeping only one instance of the most specific term.</p>"
html_lines.append(para)
if "CONFLICT" in distinct_item_d:
conflict_label_set = distinct_item_d.get("CONFLICT")
conflict = "; ".join(conflict_label_set)
para = f"<p>The following excluded terms were found to have a conflict with an observed descendent term: {conflict}. The ancestor terms will be removed.</p>"
html_lines.append(para)
if "OBSERVED_AND_EXCLUDED" in distinct_item_d:
o_and_e_set = distinct_item_d.get("OBSERVED_AND_EXCLUDED")
o_and_e = "; ".join(o_and_e_set)
para = f"<p>The following terms were annotated as being both observed and excluded: {o_and_e}. This needs to be fixed manually.</p>"
html_lines.append(para)
if "DUPLICATE" in distinct_item_d:
dup_set = distinct_item_d.get("DUPLICATE")
dup = "; ".join(dup_set)
para = f"<p>The following terms were annotated as duplicates: {dup}. This will be fixed automatically.</p>"
html_lines.append(para)
html_lines.append(self._get_unfixable_error_table())
return "\n".join(html_lines)
def _get_unfixable_error_table(self):
v_individuals_with_unfixable = self._cohort_validator.get_validated_individuals_with_unfixable_errors()
html_lines = []
html_lines.append("<h2>Individuals with unfixable errors</h2>")
errors = []
for vi in v_individuals_with_unfixable:
if vi.has_unfixed_error():
errors.extend(vi.get_unfixed_errors())
errors = sorted(errors, key=lambda x : (x._error_level, x._category, x._message))
header_fields = ValidationResult.get_header_fields()
rows = [row.get_items_as_array() for row in errors]
generator = HtmlTableGenerator(header_items=header_fields, rows=rows, caption="Error analysis")
html_lines.append(generator.get_html())
return "\n".join(html_lines)
def _get_validated_individuals(self):
validated_individual_list = self._cohort_validator.get_validated_individual_list()
if not isinstance(validated_individual_list, list):
raise ValueError(f"validated_individual_list argument must be a list but was {type(validated_individual_list)}")
if len(validated_individual_list) == 0:
raise ValueError(f"validated_individual_list argument was empty")
if not isinstance(validated_individual_list[0], ValidatedIndividual):
raise ValueError(f"validated_individual_list argument must be a list of ValidatedIndividual objects but was {type(validated_individual_list[0])}")
return validated_individual_list
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