Remove CSV writing from fit() to fix sequential crash recovery

Author: AndrewSazonov

src/easydiffraction/analysis/analysis.py

@@ -2,7 +2,6 @@
 # SPDX-License-Identifier: BSD-3-Clause
 
 from contextlib import suppress
-from pathlib import Path
 
 import numpy as np
 import pandas as pd
@@ -645,44 +644,6 @@ def fit(self, verbosity: str | None = None) -> None:
             expt_names = experiments.names
             num_expts = len(expt_names)
 
-            # CSV setup: write results if the project has been saved
-            csv_path = None
-            csv_header = None
-            csv_free_names = None
-            csv_diffrn_fields = None
-            if self.project.info.path is not None:
-                from easydiffraction.analysis.sequential import _META_COLUMNS  # noqa: PLC0415
-                from easydiffraction.analysis.sequential import _append_to_csv  # noqa: PLC0415
-                from easydiffraction.analysis.sequential import _write_csv_header  # noqa: PLC0415
-
-                csv_path = Path(self.project.info.path) / 'analysis' / 'results.csv'
-                csv_path.parent.mkdir(parents=True, exist_ok=True)
-
-                all_params = (
-                    self.project.structures.parameters + self.project.experiments.parameters
-                )
-                csv_free_names = [
-                    p.unique_name
-                    for p in all_params
-                    if isinstance(p, Parameter) and not p.constrained and p.free
-                ]
-
-                first_expt = list(experiments.values())[0]
-                csv_diffrn_fields = []
-                if hasattr(first_expt, 'diffrn'):
-                    csv_diffrn_fields = [
-                        p.name
-                        for p in first_expt.diffrn.parameters
-                        if hasattr(p, 'name') and p.name not in ('type',)
-                    ]
-
-                csv_header = list(_META_COLUMNS)
-                csv_header.extend(f'diffrn.{f}' for f in csv_diffrn_fields)
-                for name in csv_free_names:
-                    csv_header.append(name)
-                    csv_header.append(f'{name}.uncertainty')
-                _write_csv_header(csv_path, csv_header)
-
             # Short mode: print header and create display handle once
             short_headers = ['experiment', 'χ²', 'iterations', 'status']
             short_alignments = ['left', 'right', 'right', 'center']
@@ -730,25 +691,6 @@ def fit(self, verbosity: str | None = None) -> None:
                 self._parameter_snapshots[expt_name] = snapshot
                 self.fit_results = results
 
-                # Append row to CSV
-                if csv_path is not None:
-                    row = {
-                        'file_path': expt_name,
-                        'fit_success': results.success,
-                        'chi_squared': results.chi_square,
-                        'reduced_chi_squared': results.reduced_chi_square,
-                        'n_iterations': (self.fitter.minimizer.tracker.best_iteration or 0),
-                    }
-                    if hasattr(experiment, 'diffrn') and csv_diffrn_fields:
-                        for p in experiment.diffrn.parameters:
-                            if hasattr(p, 'name') and p.name not in ('type',):
-                                row[f'diffrn.{p.name}'] = p.value
-                    for uname in csv_free_names:
-                        if uname in snapshot:
-                            row[uname] = snapshot[uname]['value']
-                            row[f'{uname}.uncertainty'] = snapshot[uname]['uncertainty']
-                    _append_to_csv(csv_path, csv_header, [row])
-
                 # Short mode: append one summary row and update in-place
                 if verb is VerbosityEnum.SHORT:
                     chi2_str = (

src/easydiffraction/utils/utils.py

@@ -73,7 +73,7 @@ def _fetch_data_index() -> dict:
     _validate_url(index_url)
 
     # macOS: sha256sum index.json
-    index_hash = 'sha256:1032db0c04ef713c3f5209020a14b18dcdc3cfa4d995664ae5c9f5096f4508d4'
+    index_hash = 'sha256:dfde966a084579c2103b0d35ed3e8688ddc6941335e251d3e1735a792ca06144'
     destination_dirname = 'easydiffraction'
     destination_fname = 'data-index.json'
     cache_dir = pooch.os_cache(destination_dirname)