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# verification_models.py
"""
Data models for Verification Mode.
Defines core data structures for verification sessions, records, and test datasets.
Includes enhanced models for multi-mode verification support.
"""
from dataclasses import dataclass, field
from typing import List, Optional, Dict, Any
from datetime import datetime
@dataclass
class VerificationRecord:
"""Single verification record for a message."""
message_id: str
original_message: str
classifier_decision: str # "green", "yellow", "red"
classifier_confidence: float # 0.0-1.0
classifier_indicators: List[str]
ground_truth_label: str # "green", "yellow", "red"
verifier_notes: str = ""
is_correct: bool = False
timestamp: datetime = field(default_factory=datetime.now)
def to_dict(self) -> dict:
"""Convert record to dictionary for serialization."""
return {
"message_id": self.message_id,
"original_message": self.original_message,
"classifier_decision": self.classifier_decision,
"classifier_confidence": self.classifier_confidence,
"classifier_indicators": self.classifier_indicators,
"ground_truth_label": self.ground_truth_label,
"verifier_notes": self.verifier_notes,
"is_correct": self.is_correct,
"timestamp": self.timestamp.isoformat(),
}
@classmethod
def from_dict(cls, data: dict) -> "VerificationRecord":
"""Create record from dictionary."""
data_copy = data.copy()
if isinstance(data_copy.get("timestamp"), str):
data_copy["timestamp"] = datetime.fromisoformat(data_copy["timestamp"])
return cls(**data_copy)
@dataclass
class VerificationSession:
"""Tracks a complete verification session."""
session_id: str
verifier_name: str
dataset_id: str
dataset_name: str
created_at: datetime = field(default_factory=datetime.now)
completed_at: Optional[datetime] = None
total_messages: int = 0
verified_count: int = 0
correct_count: int = 0
incorrect_count: int = 0
verifications: List[VerificationRecord] = field(default_factory=list)
is_complete: bool = False
message_queue: List[str] = field(default_factory=list) # List of message IDs
current_queue_index: int = 0 # Current position in queue
verified_message_ids: List[str] = field(default_factory=list) # Verified message IDs
def to_dict(self) -> dict:
"""Convert session to dictionary for serialization."""
return {
"session_id": self.session_id,
"verifier_name": self.verifier_name,
"dataset_id": self.dataset_id,
"dataset_name": self.dataset_name,
"created_at": self.created_at.isoformat(),
"completed_at": self.completed_at.isoformat() if self.completed_at else None,
"total_messages": self.total_messages,
"verified_count": self.verified_count,
"correct_count": self.correct_count,
"incorrect_count": self.incorrect_count,
"verifications": [v.to_dict() for v in self.verifications],
"is_complete": self.is_complete,
"message_queue": self.message_queue,
"current_queue_index": self.current_queue_index,
"verified_message_ids": self.verified_message_ids,
}
@classmethod
def from_dict(cls, data: dict) -> "VerificationSession":
"""Create session from dictionary."""
data_copy = data.copy()
if isinstance(data_copy.get("created_at"), str):
data_copy["created_at"] = datetime.fromisoformat(data_copy["created_at"])
if isinstance(data_copy.get("completed_at"), str):
data_copy["completed_at"] = datetime.fromisoformat(data_copy["completed_at"])
verifications = data_copy.pop("verifications", [])
# Ensure queue fields exist for backward compatibility
if "message_queue" not in data_copy:
data_copy["message_queue"] = []
if "current_queue_index" not in data_copy:
data_copy["current_queue_index"] = 0
if "verified_message_ids" not in data_copy:
data_copy["verified_message_ids"] = []
session = cls(**data_copy)
session.verifications = [VerificationRecord.from_dict(v) for v in verifications]
return session
@dataclass
class TestMessage:
"""A single test message with pre-classified label."""
message_id: str
text: str
pre_classified_label: str # "green", "yellow", "red"
@dataclass
class TestDataset:
"""A test dataset for verification."""
dataset_id: str
name: str
description: str
messages: List[TestMessage] = field(default_factory=list)
@property
def message_count(self) -> int:
"""Get total number of messages in dataset."""
return len(self.messages)
def to_dict(self) -> dict:
"""Convert dataset to dictionary for serialization."""
return {
"dataset_id": self.dataset_id,
"name": self.name,
"description": self.description,
"messages": [
{
"message_id": m.message_id,
"text": m.text,
"pre_classified_label": m.pre_classified_label,
}
for m in self.messages
],
}
@classmethod
def from_dict(cls, data: dict) -> "TestDataset":
"""Create dataset from dictionary."""
data_copy = data.copy()
messages_data = data_copy.pop("messages", [])
dataset = cls(**data_copy)
dataset.messages = [TestMessage(**m) for m in messages_data]
return dataset
@dataclass
class TestCaseEdit:
"""Represents an edit operation on a test case."""
edit_id: str
test_case_id: str
operation: str # "add", "modify", "delete"
old_values: Optional[Dict[str, Any]]
new_values: Optional[Dict[str, Any]]
timestamp: datetime
editor_name: str
def to_dict(self) -> dict:
"""Convert edit to dictionary for serialization."""
return {
"edit_id": self.edit_id,
"test_case_id": self.test_case_id,
"operation": self.operation,
"old_values": self.old_values,
"new_values": self.new_values,
"timestamp": self.timestamp.isoformat(),
"editor_name": self.editor_name,
}
@classmethod
def from_dict(cls, data: dict) -> "TestCaseEdit":
"""Create edit from dictionary."""
data_copy = data.copy()
if isinstance(data_copy.get("timestamp"), str):
data_copy["timestamp"] = datetime.fromisoformat(data_copy["timestamp"])
return cls(**data_copy)
@dataclass
class FileUploadResult:
"""Result of file upload processing."""
file_id: str
original_filename: str
file_format: str # "csv", "xlsx"
total_rows: int
valid_rows: int
validation_errors: List[str]
parsed_test_cases: List[TestMessage]
upload_timestamp: datetime
def to_dict(self) -> dict:
"""Convert file upload result to dictionary for serialization."""
return {
"file_id": self.file_id,
"original_filename": self.original_filename,
"file_format": self.file_format,
"total_rows": self.total_rows,
"valid_rows": self.valid_rows,
"validation_errors": self.validation_errors,
"parsed_test_cases": [
{
"message_id": tc.message_id,
"text": tc.text,
"pre_classified_label": tc.pre_classified_label,
}
for tc in self.parsed_test_cases
],
"upload_timestamp": self.upload_timestamp.isoformat(),
}
@classmethod
def from_dict(cls, data: dict) -> "FileUploadResult":
"""Create file upload result from dictionary."""
data_copy = data.copy()
if isinstance(data_copy.get("upload_timestamp"), str):
data_copy["upload_timestamp"] = datetime.fromisoformat(data_copy["upload_timestamp"])
test_cases_data = data_copy.pop("parsed_test_cases", [])
parsed_test_cases = [TestMessage(**tc) for tc in test_cases_data]
data_copy["parsed_test_cases"] = parsed_test_cases
return cls(**data_copy)
@dataclass
class EnhancedVerificationSession(VerificationSession):
"""Extended verification session with mode support."""
mode_type: str = "enhanced_dataset" # "enhanced_dataset", "manual_input", "file_upload"
mode_metadata: Dict[str, Any] = field(default_factory=dict) # Mode-specific metadata
file_source: Optional[str] = None # Original filename for file upload mode
dataset_version: Optional[str] = None # Dataset version for enhanced dataset mode
manual_input_count: int = 0 # Number of manual inputs in session
def to_dict(self) -> dict:
"""Convert enhanced session to dictionary for serialization."""
base_dict = super().to_dict()
base_dict.update({
"mode_type": self.mode_type,
"mode_metadata": self.mode_metadata,
"file_source": self.file_source,
"dataset_version": self.dataset_version,
"manual_input_count": self.manual_input_count,
})
return base_dict
@classmethod
def from_dict(cls, data: dict) -> "EnhancedVerificationSession":
"""Create enhanced session from dictionary."""
data_copy = data.copy()
# Handle datetime fields
if isinstance(data_copy.get("created_at"), str):
data_copy["created_at"] = datetime.fromisoformat(data_copy["created_at"])
if isinstance(data_copy.get("completed_at"), str):
data_copy["completed_at"] = datetime.fromisoformat(data_copy["completed_at"])
# Extract verifications for separate processing
verifications = data_copy.pop("verifications", [])
# Ensure backward compatibility for queue fields
if "message_queue" not in data_copy:
data_copy["message_queue"] = []
if "current_queue_index" not in data_copy:
data_copy["current_queue_index"] = 0
if "verified_message_ids" not in data_copy:
data_copy["verified_message_ids"] = []
# Ensure enhanced fields have defaults
if "mode_type" not in data_copy:
data_copy["mode_type"] = "enhanced_dataset"
if "mode_metadata" not in data_copy:
data_copy["mode_metadata"] = {}
if "file_source" not in data_copy:
data_copy["file_source"] = None
if "dataset_version" not in data_copy:
data_copy["dataset_version"] = None
if "manual_input_count" not in data_copy:
data_copy["manual_input_count"] = 0
session = cls(**data_copy)
session.verifications = [VerificationRecord.from_dict(v) for v in verifications]
return session
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