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# Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0
# For details: https://github.com/nedbat/coveragepy/blob/master/NOTICE.txt

"""Json reporting for coverage.py"""

from __future__ import annotations

import datetime
import json
import sys

from typing import Any, Dict, IO, Iterable, List, Optional, Tuple, TYPE_CHECKING

from coverage import __version__
from coverage.report_core import get_analysis_to_report
from coverage.results import Analysis, Numbers
from coverage.types import TMorf, TLineNo

if TYPE_CHECKING:
    from coverage import Coverage
    from coverage.data import CoverageData


class JsonReporter:
    """A reporter for writing JSON coverage results."""

    report_type = "JSON report"

    def __init__(self, coverage: Coverage) -> None:
        self.coverage = coverage
        self.config = self.coverage.config
        self.total = Numbers(self.config.precision)
        self.report_data: Dict[str, Any] = {}

    def report(self, morfs: Optional[Iterable[TMorf]], outfile: IO[str]) -> float:
        """Generate a json report for `morfs`.

        `morfs` is a list of modules or file names.

        `outfile` is a file object to write the json to.

        """
        outfile = outfile or sys.stdout
        coverage_data = self.coverage.get_data()
        coverage_data.set_query_contexts(self.config.report_contexts)
        self.report_data["meta"] = {
            "version": __version__,
            "timestamp": datetime.datetime.now().isoformat(),
            "branch_coverage": coverage_data.has_arcs(),
            "show_contexts": self.config.json_show_contexts,
        }

        measured_files = {}
        for file_reporter, analysis in get_analysis_to_report(self.coverage, morfs):
            measured_files[file_reporter.relative_filename()] = self.report_one_file(
                coverage_data,
                analysis
            )

        self.report_data["files"] = measured_files

        self.report_data["totals"] = {
            "covered_lines": self.total.n_executed,
            "num_statements": self.total.n_statements,
            "percent_covered": self.total.pc_covered,
            "percent_covered_display": self.total.pc_covered_str,
            "missing_lines": self.total.n_missing,
            "excluded_lines": self.total.n_excluded,
        }

        if coverage_data.has_arcs():
            self.report_data["totals"].update({
                "num_branches": self.total.n_branches,
                "num_partial_branches": self.total.n_partial_branches,
                "covered_branches": self.total.n_executed_branches,
                "missing_branches": self.total.n_missing_branches,
            })

        json.dump(
            self.report_data,
            outfile,
            indent=(4 if self.config.json_pretty_print else None),
        )

        return self.total.n_statements and self.total.pc_covered

    def report_one_file(self, coverage_data: CoverageData, analysis: Analysis) -> Dict[str, Any]:
        """Extract the relevant report data for a single file."""
        nums = analysis.numbers
        self.total += nums
        summary = {
            "covered_lines": nums.n_executed,
            "num_statements": nums.n_statements,
            "percent_covered": nums.pc_covered,
            "percent_covered_display": nums.pc_covered_str,
            "missing_lines": nums.n_missing,
            "excluded_lines": nums.n_excluded,
        }
        reported_file = {
            "executed_lines": sorted(analysis.executed),
            "summary": summary,
            "missing_lines": sorted(analysis.missing),
            "excluded_lines": sorted(analysis.excluded),
        }
        if self.config.json_show_contexts:
            reported_file["contexts"] = analysis.data.contexts_by_lineno(analysis.filename)
        if coverage_data.has_arcs():
            summary.update({
                "num_branches": nums.n_branches,
                "num_partial_branches": nums.n_partial_branches,
                "covered_branches": nums.n_executed_branches,
                "missing_branches": nums.n_missing_branches,
            })
            reported_file["executed_branches"] = list(
                _convert_branch_arcs(analysis.executed_branch_arcs())
            )
            reported_file["missing_branches"] = list(
                _convert_branch_arcs(analysis.missing_branch_arcs())
            )
        return reported_file


def _convert_branch_arcs(
    branch_arcs: Dict[TLineNo, List[TLineNo]],
) -> Iterable[Tuple[TLineNo, TLineNo]]:
    """Convert branch arcs to a list of two-element tuples."""
    for source, targets in branch_arcs.items():
        for target in targets:
            yield source, target
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