Refactor step 1 in notebook to facilitate usage of campaign descriptors
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@ -49,15 +49,14 @@
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": null,
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"#output_filename_path = 'output_files/unified_file_smog_chamber_2024-04-07_UTC-OFST_+0200_NG.h5'\n",
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"number, initials = 1, 'LI' # Set as either 2, 'TBR' or 3, 'NG'\n",
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"yaml_config_file_path = '../input_files/data_integr_config_file_TBR.yaml'\n",
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"campaign_descriptor_path = f'../input_files/campaignDescriptor{number}_{initials}.yaml'\n",
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"\n",
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"\n",
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"#path_to_input_directory = 'output_files/kinetic_flowtube_study_2022-01-31_LuciaI'\n",
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"print(campaign_descriptor_path)\n"
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"#path_to_hdf5_file = hdf5_lib.create_hdf5_file_from_filesystem_path(path_to_input_directory)\n"
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]
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@ -76,7 +75,7 @@
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"\n",
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"\n",
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"hdf5_file_path = data_integration.run_pipeline(yaml_config_file_path)"
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"hdf5_file_path = data_integration.run_pipeline(campaign_descriptor_path)"
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]
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@ -146,7 +145,7 @@
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": null,
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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@ -160,7 +159,7 @@
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],
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"metadata": {
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"metadata": {
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"kernelspec": {
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"kernelspec": {
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"display_name": "multiphase_chemistry_env",
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"display_name": "Python 3",
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"language": "python",
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"language": "python",
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"name": "python3"
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"name": "python3"
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},
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},
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@ -174,7 +173,7 @@
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"name": "python",
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"name": "python",
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"nbconvert_exporter": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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"version": "3.11.10"
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}
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}
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},
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},
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"nbformat": 4,
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"nbformat": 4,
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