environment_monitoring_app/lib/models/tarball_data.dart

221 lines
8.7 KiB
Dart

// lib/models/tarball_data.dart
import 'dart:io';
import 'dart:convert';
import 'package:environment_monitoring_app/models/marine_manual_npe_report_data.dart';
/// This class holds all the data collected across the multi-step tarball sampling form.
/// It acts as a temporary data container that is passed between screens.
class TarballSamplingData {
// --- Step 1 Data: Collected in TarballSamplingStep1 ---
String? firstSampler;
int? firstSamplerUserId;
Map<String, dynamic>? secondSampler; // Holds the full user map for the 2nd sampler
String? samplingDate;
String? samplingTime;
String? selectedStateName;
String? selectedCategoryName;
Map<String, dynamic>? selectedStation; // Holds the full station map
String? stationLatitude;
String? stationLongitude;
String? currentLatitude;
String? currentLongitude;
double? distanceDifference;
String? distanceDifferenceRemarks;
// --- Step 2 Data: Collected in TarballSamplingStep2 ---
int? classificationId;
// NECESSARY CHANGE: Add property to hold the full classification object.
Map<String, dynamic>? selectedClassification;
File? leftCoastalViewImage;
File? rightCoastalViewImage;
File? verticalLinesImage;
File? horizontalLineImage;
File? optionalImage1;
String? optionalRemark1;
File? optionalImage2;
String? optionalRemark2;
File? optionalImage3;
String? optionalRemark3;
File? optionalImage4;
String? optionalRemark4;
// --- Step 3 Data: For handling the submission response ---
String? reportId;
String? submissionStatus;
String? submissionMessage;
/// Converts tarball data into a pre-filled NPE Report data object.
MarineManualNpeReportData toNpeReportData() {
final npeData = MarineManualNpeReportData();
npeData.firstSamplerName = firstSampler;
npeData.firstSamplerUserId = firstSamplerUserId;
npeData.eventDate = samplingDate;
npeData.eventTime = samplingTime;
npeData.selectedStation = selectedStation; // Pass the whole station map
npeData.latitude = currentLatitude;
npeData.longitude = currentLongitude;
npeData.stateName = selectedStateName;
// Pre-tick the relevant observation for a tarball event.
npeData.fieldObservations['Observation of tar balls'] = true;
// Transfer images
final availableImages = [
leftCoastalViewImage,
rightCoastalViewImage,
verticalLinesImage,
horizontalLineImage,
optionalImage1,
optionalImage2,
optionalImage3,
optionalImage4,
].where((img) => img != null).cast<File>().toList();
if (availableImages.isNotEmpty) npeData.image1 = availableImages[0];
if (availableImages.length > 1) npeData.image2 = availableImages[1];
if (availableImages.length > 2) npeData.image3 = availableImages[2];
if (availableImages.length > 3) npeData.image4 = availableImages[3];
return npeData;
}
// --- REMOVED: generateTelegramAlertMessage method ---
// Logic moved to MarineTarballSamplingService
/// Converts the form's text and selection data into a Map suitable for JSON encoding.
/// This map will be sent as the body of the first API request.
Map<String, String> toFormData() {
final Map<String, String> data = {
// Required fields that were missing or not being sent correctly
'station_id': selectedStation?['station_id']?.toString() ?? '',
'sampling_date': samplingDate ?? '',
'sampling_time': samplingTime ?? '',
'classification_id': classificationId?.toString() ?? '',
'first_sampler_user_id': firstSamplerUserId?.toString() ?? '',
// Optional fields
'second_sampler_user_id': secondSampler?['user_id']?.toString() ?? '',
'current_latitude': currentLatitude ?? '',
'current_longitude': currentLongitude ?? '',
'distance_difference': distanceDifference?.toString() ?? '',
'distance_remarks': distanceDifferenceRemarks ?? '', // Corrected key based on service
'optional_photo_remark_01': optionalRemark1 ?? '',
'optional_photo_remark_02': optionalRemark2 ?? '',
'optional_photo_remark_03': optionalRemark3 ?? '',
'optional_photo_remark_04': optionalRemark4 ?? '',
// Human-readable names for the Telegram alert on the server-side
'tbl_station_name': selectedStation?['tbl_station_name']?.toString() ?? '',
'tbl_station_code': selectedStation?['tbl_station_code']?.toString() ?? '',
'first_sampler_name': firstSampler ?? '',
'classification_name': selectedClassification?['classification_name']?.toString() ?? '',
};
// Remove keys with empty string values before sending
data.removeWhere((key, value) => value.isEmpty);
return data;
}
/// Gathers all non-null image files into a Map.
/// This map is used to build the multipart request for the second API call (image upload).
Map<String, File?> toImageFiles() {
return {
'left_side_coastal_view': leftCoastalViewImage,
'right_side_coastal_view': rightCoastalViewImage,
'drawing_vertical_lines': verticalLinesImage,
'drawing_horizontal_line': horizontalLineImage,
'optional_photo_01': optionalImage1,
'optional_photo_02': optionalImage2,
'optional_photo_03': optionalImage3,
'optional_photo_04': optionalImage4,
};
}
/// Creates a single JSON object with all submission data for offline storage.
Map<String, dynamic> toDbJson() {
// Include image paths for local storage
return {
'firstSampler': firstSampler,
'firstSamplerUserId': firstSamplerUserId,
'secondSampler': secondSampler,
'samplingDate': samplingDate,
'samplingTime': samplingTime,
'selectedStateName': selectedStateName,
'selectedCategoryName': selectedCategoryName,
'selectedStation': selectedStation,
'stationLatitude': stationLatitude,
'stationLongitude': stationLongitude,
'currentLatitude': currentLatitude,
'currentLongitude': currentLongitude,
'distanceDifference': distanceDifference,
'distanceDifferenceRemarks': distanceDifferenceRemarks,
'classificationId': classificationId,
'selectedClassification': selectedClassification,
'leftCoastalViewImage': leftCoastalViewImage?.path,
'rightCoastalViewImage': rightCoastalViewImage?.path,
'verticalLinesImage': verticalLinesImage?.path,
'horizontalLineImage': horizontalLineImage?.path,
'optionalImage1': optionalImage1?.path,
'optionalRemark1': optionalRemark1,
'optionalImage2': optionalImage2?.path,
'optionalRemark2': optionalRemark2,
'optionalImage3': optionalImage3?.path,
'optionalRemark3': optionalRemark3,
'optionalImage4': optionalImage4?.path,
'optionalRemark4': optionalRemark4,
'reportId': reportId,
'submissionStatus': submissionStatus,
'submissionMessage': submissionMessage,
};
}
/// Creates a JSON object for basic form info, mimicking 'basic_form.json'.
Map<String, dynamic> toBasicFormJson() {
final data = {
'tech_name': firstSampler,
'sampler_2ndname': secondSampler?['first_name'], // Assuming first_name is appropriate
'sample_date': samplingDate,
'sample_time': samplingTime,
'sample_state': selectedStateName,
'station_id': selectedStation?['tbl_station_code'], // Use station code
'station_latitude': stationLatitude,
'station_longitude': stationLongitude,
'latitude': currentLatitude, // Current location
'longitude': currentLongitude, // Current location
'sample_id': reportId, // Using reportId if available
};
//data.removeWhere((key, value) => value == null);
return data;
}
/// Creates a JSON object for sensor readings, mimicking 'reading.json'.
Map<String, dynamic> toReadingJson() {
final data = {
'classification': selectedClassification?['classification_name'],
'classification_id': classificationId,
'optional_remark_1': optionalRemark1,
'optional_remark_2': optionalRemark2,
'optional_remark_3': optionalRemark3,
'optional_remark_4': optionalRemark4,
'distance_difference': distanceDifference,
'distance_difference_remarks': distanceDifferenceRemarks, // Corrected key
};
data.removeWhere((key, value) => value == null || (value is String && value.isEmpty));
return data;
}
/// Creates a JSON object for manual info, mimicking 'manual_info.json'.
Map<String, dynamic> toManualInfoJson() {
final data = {
// Tarball forms don't have weather or general remarks separate from distance
'weather': null, // Explicitly null if not collected
'remarks_event': distanceDifferenceRemarks, // Use distance remarks if relevant
'remarks_lab': null, // Explicitly null if not collected
};
data.removeWhere((key, value) => value == null || (value is String && value.isEmpty));
return data;
}
}