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aceb1b2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 | """
Reporting and export functionality for simulation results.
This module provides the SimulationReporter class for exporting
simulation results in various formats.
"""
import json
import csv
import os
from typing import Dict, Any
from datetime import datetime
from .user_simulator import UserSimulationResult
class SimulationReporter:
"""Handles result collection and export.
Supports multiple export formats:
- JSON: Full structured results
- CSV: Flat annotation records
- JSONL: Line-delimited JSON for streaming
"""
def __init__(self, output_dir: str):
"""Initialize reporter.
Args:
output_dir: Directory for output files
"""
self.output_dir = output_dir
os.makedirs(output_dir, exist_ok=True)
def export_results(
self,
results: Dict[str, UserSimulationResult],
summary: Dict[str, Any],
) -> None:
"""Export all results to files.
Creates:
- summary_{timestamp}.json: Aggregate statistics
- user_results_{timestamp}.json: Per-user detailed results
- annotations_{timestamp}.csv: All annotations in flat format
Args:
results: Dict mapping user_id to UserSimulationResult
summary: Summary statistics dictionary
"""
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
# Export summary
self._export_summary(summary, timestamp)
# Export per-user results
self._export_user_results(results, timestamp)
# Export annotations CSV
self._export_annotations_csv(results, timestamp)
print(f"Results exported to {self.output_dir}/")
def _export_summary(self, summary: Dict[str, Any], timestamp: str) -> None:
"""Export summary statistics to JSON.
Args:
summary: Summary dictionary
timestamp: Timestamp string for filename
"""
filepath = os.path.join(self.output_dir, f"summary_{timestamp}.json")
with open(filepath, "w") as f:
json.dump(summary, f, indent=2, default=str)
print(f" - Summary: {filepath}")
def _export_user_results(
self,
results: Dict[str, UserSimulationResult],
timestamp: str,
) -> None:
"""Export detailed per-user results to JSON.
Args:
results: Dict mapping user_id to UserSimulationResult
timestamp: Timestamp string for filename
"""
filepath = os.path.join(self.output_dir, f"user_results_{timestamp}.json")
export_data = {}
for user_id, result in results.items():
export_data[user_id] = {
"user_id": result.user_id,
"total_annotations": len(result.annotations),
"total_time": result.total_time,
"attention_checks_passed": result.attention_checks_passed,
"attention_checks_failed": result.attention_checks_failed,
"gold_standard_correct": result.gold_standard_correct,
"gold_standard_incorrect": result.gold_standard_incorrect,
"was_blocked": result.was_blocked,
"errors": result.errors,
"start_time": (
result.start_time.isoformat() if result.start_time else None
),
"end_time": result.end_time.isoformat() if result.end_time else None,
}
with open(filepath, "w") as f:
json.dump(export_data, f, indent=2)
print(f" - User results: {filepath}")
def _export_annotations_csv(
self,
results: Dict[str, UserSimulationResult],
timestamp: str,
) -> None:
"""Export all annotations to CSV.
Args:
results: Dict mapping user_id to UserSimulationResult
timestamp: Timestamp string for filename
"""
filepath = os.path.join(self.output_dir, f"annotations_{timestamp}.csv")
with open(filepath, "w", newline="") as f:
writer = csv.writer(f)
writer.writerow(
[
"user_id",
"instance_id",
"schema_name",
"annotation",
"response_time",
"timestamp",
"was_attention_check",
"attention_check_passed",
"was_gold_standard",
"gold_standard_correct",
]
)
for user_id, result in results.items():
for record in result.annotations:
writer.writerow(
[
user_id,
record.instance_id,
record.schema_name,
json.dumps(record.annotation),
record.response_time,
record.timestamp.isoformat(),
record.was_attention_check,
record.attention_check_passed,
record.was_gold_standard,
record.gold_standard_correct,
]
)
print(f" - Annotations CSV: {filepath}")
def export_annotations_jsonl(
self,
results: Dict[str, UserSimulationResult],
timestamp: str,
) -> None:
"""Export all annotations to JSONL (line-delimited JSON).
Useful for streaming processing and large datasets.
Args:
results: Dict mapping user_id to UserSimulationResult
timestamp: Timestamp string for filename
"""
filepath = os.path.join(self.output_dir, f"annotations_{timestamp}.jsonl")
with open(filepath, "w") as f:
for user_id, result in results.items():
for record in result.annotations:
line_data = {
"user_id": user_id,
"instance_id": record.instance_id,
"schema_name": record.schema_name,
"annotation": record.annotation,
"response_time": record.response_time,
"timestamp": record.timestamp.isoformat(),
"was_attention_check": record.was_attention_check,
"attention_check_passed": record.attention_check_passed,
"was_gold_standard": record.was_gold_standard,
"gold_standard_correct": record.gold_standard_correct,
}
f.write(json.dumps(line_data) + "\n")
print(f" - Annotations JSONL: {filepath}")
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