130 lines
4.6 KiB
Python
130 lines
4.6 KiB
Python
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# Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0
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# For details: https://github.com/nedbat/coveragepy/blob/master/NOTICE.txt
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"""Json reporting for coverage.py"""
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from __future__ import annotations
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import datetime
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import json
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import sys
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from typing import Any, Dict, IO, Iterable, List, Optional, Tuple, TYPE_CHECKING
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from coverage import __version__
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from coverage.report_core import get_analysis_to_report
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from coverage.results import Analysis, Numbers
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from coverage.types import TMorf, TLineNo
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if TYPE_CHECKING:
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from coverage import Coverage
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from coverage.data import CoverageData
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class JsonReporter:
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"""A reporter for writing JSON coverage results."""
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report_type = "JSON report"
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def __init__(self, coverage: Coverage) -> None:
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self.coverage = coverage
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self.config = self.coverage.config
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self.total = Numbers(self.config.precision)
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self.report_data: Dict[str, Any] = {}
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def report(self, morfs: Optional[Iterable[TMorf]], outfile: IO[str]) -> float:
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"""Generate a json report for `morfs`.
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`morfs` is a list of modules or file names.
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`outfile` is a file object to write the json to.
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"""
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outfile = outfile or sys.stdout
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coverage_data = self.coverage.get_data()
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coverage_data.set_query_contexts(self.config.report_contexts)
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self.report_data["meta"] = {
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"version": __version__,
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"timestamp": datetime.datetime.now().isoformat(),
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"branch_coverage": coverage_data.has_arcs(),
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"show_contexts": self.config.json_show_contexts,
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}
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measured_files = {}
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for file_reporter, analysis in get_analysis_to_report(self.coverage, morfs):
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measured_files[file_reporter.relative_filename()] = self.report_one_file(
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coverage_data,
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analysis
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)
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self.report_data["files"] = measured_files
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self.report_data["totals"] = {
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"covered_lines": self.total.n_executed,
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"num_statements": self.total.n_statements,
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"percent_covered": self.total.pc_covered,
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"percent_covered_display": self.total.pc_covered_str,
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"missing_lines": self.total.n_missing,
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"excluded_lines": self.total.n_excluded,
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}
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if coverage_data.has_arcs():
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self.report_data["totals"].update({
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"num_branches": self.total.n_branches,
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"num_partial_branches": self.total.n_partial_branches,
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"covered_branches": self.total.n_executed_branches,
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"missing_branches": self.total.n_missing_branches,
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})
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json.dump(
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self.report_data,
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outfile,
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indent=(4 if self.config.json_pretty_print else None),
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)
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return self.total.n_statements and self.total.pc_covered
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def report_one_file(self, coverage_data: CoverageData, analysis: Analysis) -> Dict[str, Any]:
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"""Extract the relevant report data for a single file."""
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nums = analysis.numbers
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self.total += nums
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summary = {
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"covered_lines": nums.n_executed,
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"num_statements": nums.n_statements,
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"percent_covered": nums.pc_covered,
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"percent_covered_display": nums.pc_covered_str,
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"missing_lines": nums.n_missing,
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"excluded_lines": nums.n_excluded,
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}
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reported_file = {
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"executed_lines": sorted(analysis.executed),
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"summary": summary,
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"missing_lines": sorted(analysis.missing),
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"excluded_lines": sorted(analysis.excluded),
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}
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if self.config.json_show_contexts:
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reported_file["contexts"] = analysis.data.contexts_by_lineno(analysis.filename)
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if coverage_data.has_arcs():
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summary.update({
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"num_branches": nums.n_branches,
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"num_partial_branches": nums.n_partial_branches,
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"covered_branches": nums.n_executed_branches,
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"missing_branches": nums.n_missing_branches,
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})
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reported_file["executed_branches"] = list(
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_convert_branch_arcs(analysis.executed_branch_arcs())
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)
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reported_file["missing_branches"] = list(
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_convert_branch_arcs(analysis.missing_branch_arcs())
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)
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return reported_file
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def _convert_branch_arcs(
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branch_arcs: Dict[TLineNo, List[TLineNo]],
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) -> Iterable[Tuple[TLineNo, TLineNo]]:
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"""Convert branch arcs to a list of two-element tuples."""
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for source, targets in branch_arcs.items():
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for target in targets:
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yield source, target
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