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prepare for new version

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tyler
2026-08-31 22:00:35 -07:00
parent a9ea0efcb4
commit f0b8266cf9
8 changed files with 613 additions and 32 deletions
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src/analysis/exporttocsv.py
+75 -6
View File
@@ -32,20 +32,27 @@ class ExportToCSVWidget(CSVUIMixin, FlaresBaseWidget):
design_matrix_dict: dict[str, DataFrame],
contrast_results_dict: dict[str, dict[str, Any]],
group_dict: dict[str, str],
config_dict: dict[str, dict[str, Any]]
config_dict: dict[str, dict[str, Any]],
fir_feature_dict: dict[str, dict[str, Any]],
qc_dict: dict[str, dict[str, Any]],
) -> None:
super().__init__("ExportToCSV")
self.setWindowTitle(f"Export To CSV Viewer - {APP_NAME.upper()}")
self.haemo_dict = haemo_dict
self.cha_dict = cha_dict
# self.df_ind = df_ind_dict
# self.design_matrix = design_matrix_dict
# self.contrast_results_dict = contrast_results_dict
# self.group = group_dict
self.df_ind_dict = df_ind_dict
self.design_matrix = design_matrix_dict
self.contrast_results_dict = contrast_results_dict
self.group_dict = group_dict
self.config_dict = config_dict
self.fir_feature_dict = fir_feature_dict
self.qc_dict = qc_dict
self.setup_csv_ui(["0 (Export Data to CSV)", "1 (CSV for SPARKS)", "2 (Export Configuration to CSV)", "3 (Paragraph of Configuration)"])
self.setup_csv_ui(["0 (Export Data to CSV)", "1 (CSV for SPARKS)", "2 (Export Configuration to CSV)", "3 (Paragraph of Configuration)", "4 (Export FIR Waveform Features to CSV)",
"5 (Export Quality Control Metrics to CSV)",
"6 (Export Master Consolidated Matrix [All Participants into 1 CSV])"
])
def process_request(self):
@@ -113,6 +120,68 @@ class ExportToCSVWidget(CSVUIMixin, FlaresBaseWidget):
magic_string = self.gen_magic_str(first_params)
self.placeholder_label.setText(magic_string)
# elif idx == 4:
# # FIR Waveform Features Export
# fir_data = self.fir_feature_dict.get(file_path)
# if fir_data and isinstance(fir_data, dict):
# names = fir_data.get("feature_names", [])
# vals = fir_data.get("features", [])
# chans = fir_data.get("feature_channels", [])
# fir_df = DataFrame({
# "Feature_Name": names,
# "Channel": chans if len(chans) == len(names) else ["N/A"] * len(names),
# "Value": vals
# })
# save_path = os.path.join(output_dir, f"{base_filename}_fir_features.csv")
# fir_df.to_csv(save_path, index=False)
# success_count += 1
# elif idx == 5:
# # Quality Control (QC) Metrics Export
# qc_data = self.qc_dict.get(file_path)
# if qc_data and isinstance(qc_data, dict):
# qc_df = DataFrame(list(qc_data.items()), columns=["Metric", "Value"])
# save_path = os.path.join(output_dir, f"{base_filename}_qc_metrics.csv")
# qc_df.to_csv(save_path, index=False)
# success_count += 1
# elif idx == 6:
# # Master Consolidated Matrix (1 single CSV combining all selected participants)
# save_path = os.path.join(output_dir, f"{APP_NAME}_master_consolidated.csv")
# if not os.path.exists(save_path):
# master_rows: list[dict[str, Any]] = []
# for fp in selected_file_paths:
# abs_path = os.path.abspath(fp)
# grp = self.group_dict.get(fp, "Unknown")
# row: dict[str, Any] = {"Participant": abs_path, "Group": grp}
# # QC Metrics
# qc_info = self.qc_dict.get(fp, {})
# if isinstance(qc_info, dict):
# for mk, mv in qc_info.items():
# row[f"QC_{mk}"] = mv
# # FIR Features
# fir_info = self.fir_feature_dict.get(fp, {})
# print("1")
# if isinstance(fir_info, dict):
# print("2")
# f_names = fir_info.get("feature_names", [])
# f_vals = fir_info.get("features", [])
# print("3")
# if len(f_names) == len(f_vals):
# print("4")
# for fn, fv in zip(f_names, f_vals):
# row[f"FIR_{fn}"] = fv
# master_rows.append(row)
# if master_rows:
# df_master = DataFrame(master_rows)
# df_master.to_csv(save_path, index=False)
# success_count += 1
else:
print(f"No method defined for index {idx}")
src/shared/shareddata.py
+3 -1
View File
@@ -64,7 +64,9 @@ DATA_SCHEMA = [
{"key": "config_dict", "help": "Dict[file_path, dict]: Processing configuration parameters"},
{"key": "fig_bytes_dict", "help": "Dict[file_path, dict]: Serialized figure data"},
{"key": "contrast_results_dict", "help": "Dict[file_path, dict]: Calculated contrast statistical results"},
{"key": "roi_channel_map_dict", "help": "Dict[file_path, dict]: Calculated contrast statistical results"},
{"key": "roi_channel_map_dict", "help": "Dict[file_path, dict]: ROI channel mappings"},
{"key": "fir_feature_dict", "help": "Dict[file_path, dict]: Extracted FIR waveform features (features, names, channels)"},
{"key": "qc_dict", "help": "Dict[file_path, dict]: Quality control metrics"},
{"key": "valid_dict", "help": "Dict[file_path, bool]: Boolean validity status per file"}
]
src/window/viewerlauncher.py
+3 -1
View File
@@ -44,6 +44,8 @@ class ViewerLauncherWidget(QWidget):
fig_bytes_dict: dict[str, dict[str, bytes]],
contrast_results_dict: dict[str, dict[str, Any]],
roi_channel_map_dict: dict[str, dict[str, str]],
fir_feature_dict: dict[str, dict[str, Any]],
qc_dict: dict[str, dict[str, Any]],
folding_bypass: bool,
) -> None:
@@ -62,7 +64,7 @@ class ViewerLauncherWidget(QWidget):
("Inter-Group Stats Viewer", InterGroupStatsWidget, [haemo_dict, cha_dict, df_ind_dict, design_matrix_dict, contrast_results_dict, roi_channel_map_dict, group_dict], True),
("Intra-Group Brain and Image Viewer", IntraGroupBrainImageWidget, [haemo_dict, cha_dict, df_ind_dict, design_matrix_dict, contrast_results_dict, group_dict], True),
("Inter-Group Brain and Image Viewer", InterGroupBrainImageWidget, [haemo_dict, df_ind_dict, design_matrix_dict, contrast_results_dict, group_dict], True),
("Export To CSV Viewer", ExportToCSVWidget, [haemo_dict, cha_dict, df_ind_dict, design_matrix_dict, contrast_results_dict, group_dict, config_dict], True)
("Export To CSV Viewer", ExportToCSVWidget, [haemo_dict, cha_dict, df_ind_dict, design_matrix_dict, contrast_results_dict, group_dict, config_dict, fir_feature_dict, qc_dict], True)
]
layout = QVBoxLayout(self)