1. Version Control Preparation (+3)
1. Version Control Preparation
Convert binary .dat files to YAML for Git tracking:
python -m digitalmodel.orcaflex.examples_integration.batch_converter \
--input-dir models/ \
--output-dir models_version_control/ \
--pattern "*.dat"
# Commit YAML files to Git
git add models_version_control/*.yml
git commit -m "Add OrcaFlex models in YAML format"
2. Automated Model Generation
Generate .dat files from YAML templates:
import OrcFxAPI
from pathlib import Path
import yaml
# Load YAML template
with open("template.yml") as f:
config = yaml.safe_load(f)
*See sub-skills for full details.*
## 3. Batch Analysis Preparation
Convert 180+ example files for analysis:
```python
from digitalmodel.orcaflex.examples_integration.batch_converter import OrcaFlexBatchConverter
from pathlib import Path
# Convert all examples
converter = OrcaFlexBatchConverter(
input_dir=Path("docs/modules/orcaflex/examples/raw"),
output_dir=Path("docs/modules/orcaflex/examples/yaml"),
*See sub-skills for full details.*
## 4. Model Inspection and Debugging
Convert .dat to .yml for inspection:
```bash
# Convert problematic model to YAML
python -m digitalmodel.orcaflex.orcaflex_yml_converter problem_model.dat
# Inspect YAML in text editor
code problem_model.yml
# Make corrections in YAML
# Convert back to .dat
python -m digitalmodel.orcaflex.orcaflex_yml_converter problem_model.yml