127 lines
5.0 KiB
Dart
127 lines
5.0 KiB
Dart
import 'dart:io';
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/// This class holds all the data collected across the multi-step tarball sampling form.
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/// It acts as a temporary data container that is passed between screens.
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class TarballSamplingData {
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// --- Step 1 Data: Collected in TarballSamplingStep1 ---
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String? firstSampler;
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int? firstSamplerUserId;
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Map<String, dynamic>? secondSampler; // Holds the full user map for the 2nd sampler
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String? samplingDate;
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String? samplingTime;
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String? selectedStateName;
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String? selectedCategoryName;
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Map<String, dynamic>? selectedStation; // Holds the full station map
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String? stationLatitude;
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String? stationLongitude;
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String? currentLatitude;
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String? currentLongitude;
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double? distanceDifference;
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String? distanceDifferenceRemarks;
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// --- Step 2 Data: Collected in TarballSamplingStep2 ---
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int? classificationId;
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// NECESSARY CHANGE: Add property to hold the full classification object.
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Map<String, dynamic>? selectedClassification;
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File? leftCoastalViewImage;
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File? rightCoastalViewImage;
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File? verticalLinesImage;
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File? horizontalLineImage;
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File? optionalImage1;
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String? optionalRemark1;
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File? optionalImage2;
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String? optionalRemark2;
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File? optionalImage3;
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String? optionalRemark3;
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File? optionalImage4;
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String? optionalRemark4;
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// --- Step 3 Data: For handling the submission response ---
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String? reportId;
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String? submissionStatus;
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String? submissionMessage;
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/// Generates a formatted Telegram alert message for successful submissions.
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String generateTelegramAlertMessage({required bool isDataOnly}) {
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final submissionType = isDataOnly ? "(Data Only)" : "(Data & Images)";
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final stationName = selectedStation?['tbl_station_name'] ?? 'N/A';
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final stationCode = selectedStation?['tbl_station_code'] ?? 'N/A';
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// This logic now correctly uses the full classification object if available.
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final classification = selectedClassification?['classification_name'] ?? classificationId?.toString() ?? 'N/A';
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final buffer = StringBuffer()
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..writeln('✅ *Tarball Sample $submissionType Submitted:*')
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..writeln()
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..writeln('*Station Name & Code:* $stationName ($stationCode)')
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..writeln('*Date of Submission:* $samplingDate')
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..writeln('*Submitted by User:* $firstSampler')
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..writeln('*Classification:* $classification')
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..writeln('*Status of Submission:* Successful');
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// Add distance alert if relevant
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if (distanceDifference != null && distanceDifference! > 0) {
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buffer
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..writeln()
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..writeln('🔔 *Alert:*')
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..writeln('*Distance from station:* ${(distanceDifference! * 1000).toStringAsFixed(0)} meters');
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if (distanceDifferenceRemarks != null && distanceDifferenceRemarks!.isNotEmpty) {
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buffer.writeln('*Remarks for distance:* $distanceDifferenceRemarks');
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}
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}
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return buffer.toString();
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}
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/// Converts the form's text and selection data into a Map suitable for JSON encoding.
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/// This map will be sent as the body of the first API request.
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Map<String, String> toFormData() {
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final Map<String, String> data = {
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// Required fields
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'station_id': selectedStation?['station_id']?.toString() ?? '',
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'sampling_date': samplingDate ?? '',
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'sampling_time': samplingTime ?? '',
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// User ID fields
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'first_sampler_user_id': firstSamplerUserId?.toString() ?? '',
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'second_sampler_user_id': secondSampler?['user_id']?.toString() ?? '',
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// Foreign Key ID for classification
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'classification_id': classificationId?.toString() ?? '',
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// Other nullable fields
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'current_latitude': currentLatitude ?? '',
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'current_longitude': currentLongitude ?? '',
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'distance_difference': distanceDifference?.toString() ?? '',
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'optional_photo_remark_01': optionalRemark1 ?? '',
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'optional_photo_remark_02': optionalRemark2 ?? '',
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'optional_photo_remark_03': optionalRemark3 ?? '',
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'optional_photo_remark_04': optionalRemark4 ?? '',
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'distance_difference_remarks': distanceDifferenceRemarks ?? '',
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// Human-readable names for the Telegram alert
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'tbl_station_name': selectedStation?['tbl_station_name']?.toString() ?? '',
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'tbl_station_code': selectedStation?['tbl_station_code']?.toString() ?? '',
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'first_sampler_name': firstSampler ?? '',
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// NECESSARY CHANGE: Add the classification name for the alert.
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'classification_name': selectedClassification?['classification_name']?.toString() ?? '',
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};
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return data;
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}
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/// Gathers all non-null image files into a Map.
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/// This map is used to build the multipart request for the second API call (image upload).
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Map<String, File?> toImageFiles() {
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return {
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'left_side_coastal_view': leftCoastalViewImage,
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'right_side_coastal_view': rightCoastalViewImage,
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'drawing_vertical_lines': verticalLinesImage,
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'drawing_horizontal_line': horizontalLineImage,
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'optional_photo_01': optionalImage1,
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'optional_photo_02': optionalImage2,
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'optional_photo_03': optionalImage3,
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'optional_photo_04': optionalImage4,
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};
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}
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} |