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ENH: Configure writing to Tiled #30
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| import numpy | ||
| import os | ||
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| from bluesky_tiled_plugins import TiledWriter | ||
| from bluesky.callbacks.buffer import BufferingWrapper | ||
| from tiled.client import from_uri | ||
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| # Mapping from spec to mimetype for use in TiledWriter | ||
| # TODO: Only keep the necessary specs here | ||
| MIMETYPE_LOOKUP = { | ||
| "AD_TIFF": "multipart/related;type=image/tiff", | ||
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| "hdf5": "application/x-hdf5", | ||
| "A1_HDF5": "application/x-hdf5", # esm_patches:A1SoftFileHandler(HDF5DatasetSliceHandler) | ||
| "AD_CBF": "multipart/related;type=image/tiff", | ||
| "AD_EIGER_MX": "application/x-hdf5", | ||
| "AD_EIGER2": "application/x-hdf5", | ||
| "AD_JPEG": "multipart/related;type=image/jpeg", | ||
| "AD_HDF5": "application/x-hdf5", | ||
| "AD_HDF5_GERM": "application/x-hdf5", | ||
| "AD_HDF5_SWMR_STREAM": "application/x-hdf5", | ||
| "AD_HDF5_SWMR_SLICE": "application/x-hdf5", | ||
| "AD_HDF5_SWMR": "application/x-hdf5", | ||
| "AD_HDF5_TS": "application/x-hdf5", # area_detector_handlers.handlers:AreaDetectorHDF5TimestampHandler | ||
| "AD_HDF5_DET_TS": "application/x-hdf5", # csx_transforms.AreaDetectorHDF5NDArrayTimeStampHandler | ||
| "APB": "application/x-pizzabox-binary", # columns: timestamp, i0, it, ir, iff, aux1, aux2, aux3, aux4. iss_patches:APBBinFileHandler | ||
| "APB_TRIGGER": "application/x-pizzabox-binary", # columns: timestamp, transition, iss_patches:APBTriggerFileHandler | ||
| "DEX_HDF5": "application/x-hdf5", | ||
| "EIGER2_STREAM": "application/x-hdf5", | ||
| "MERLIN_FLY_STREAM_V2": "application/x-hdf5", | ||
| "MERLIN_HDF5_BULK": "application/x-hdf5", | ||
| "PANDA": "application/x-hdf5", | ||
| "PIL100k_HDF5": "application/x-hdf5", # iss_patches:ISSPilatusHDF5Handler | ||
| "PILATUS_HDF5": "application/x-hdf5", | ||
| "ROI_HDF5_FLY": "application/x-hdf5", | ||
| "ROI_HDF51_FLY": "application/x-hdf5", | ||
| "SIS_HDF51_FLY_STREAM_V1": "application/x-hdf5", | ||
| "TPX_HDF5": "application/x-hdf5", | ||
| "NPY_SEQ": "multipart/related;type=application/x-npy", | ||
| "SIS_HDF51": "application/x-hdf5", | ||
| "SPECS_HDF5_SINGLE_DATAFRAME": "application/x-hdf5", # IOS | ||
| "XIA_XMAP_HDF5": "application/x-hdf5;type=xia-xmap", | ||
| "XSP3": "application/x-hdf5", # iss_patches:ISSXspress3HDF5Handler, area_detector_handlers.handlers:Xspress3HDF5Handler | ||
| "XSP3_BULK": "application/x-hdf5", | ||
| "XSP3_FLY": "application/x-hdf5", | ||
| "XSP3_STEP": "application/x-hdf5", # databroker.assets.handlers:Xspress3HDF5Handler, area_detector_handlers.handlers:Xspress3HDF5Handler | ||
| "XSP3X": "application/x-hdf5", | ||
| } | ||
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| # Define document-specific patches to be applied before sending them to TiledWriter | ||
| def patch_resource(doc): | ||
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| kwargs = doc.get("resource_kwargs", {}) | ||
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| # Fix the resource path | ||
| root = doc.get("root", "") | ||
| if not doc["resource_path"].startswith(root): | ||
| doc["resource_path"] = os.path.join(root, doc["resource_path"]) | ||
| doc["root"] = "" | ||
| doc["resource_path"] = doc["resource_path"].replace("/nsls2/data3/cms", "/nsls2/data/cms") | ||
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| if doc.get("spec") in ["AD_TIFF"]: | ||
| kwargs["template"] = "/" + kwargs["template"].lstrip("/") # Ensure leading slash | ||
| kwargs["join_method"] = "stack" | ||
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| return doc | ||
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| def patch_descriptor(doc): | ||
| if 'pilatus800_image' in doc['data_keys']: | ||
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Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. If this data key ( |
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| desc = doc['data_keys']['pilatus800_image'] | ||
| desc.setdefault("dtype_str", "<i4") | ||
| shape = desc['shape'] | ||
| if shape[-1] == 0: | ||
| shape[-1] = 1 | ||
| desc['shape'] = shape[::-1] | ||
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| # Ensure dtype_str has the proper numpy format (to pass the EventModel validator) | ||
| for key, val in doc["data_keys"].items(): | ||
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Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. "dtype_str" should be a proper numpy identifier, e.g. |
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| if "dtype_str" in val: | ||
| val["dtype_str"] = numpy.dtype(val["dtype_str"]).str | ||
| val["shape"] = tuple(map(lambda x: max(x, 0), val.get("shape", []))) | ||
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| return doc | ||
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| # Initialize the Tiled client and the TiledWriter | ||
| api_key = os.environ.get("TILED_BLUESKY_WRITING_API_KEY_CMS") | ||
| tiled_writing_client_sql = from_uri("https://tiled.nsls2.bnl.gov", api_key=api_key)['cms/migration'] | ||
| tw = TiledWriter(client = tiled_writing_client_sql, | ||
| backup_directory="/tmp/tiled_backup", # NOTE: Pick a suitable backup directory | ||
| patches = {"descriptor": patch_descriptor, | ||
| "resource": patch_resource}, | ||
| spec_to_mimetype = MIMETYPE_LOOKUP, | ||
| batch_size=10000 # NOTE: Set to 1 to disable batching | ||
| ) | ||
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| # Thread-safe wrapper for TiledWriter | ||
| tw = BufferingWrapper(tw) | ||
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| # Subscribe the TiledWriter | ||
| RE.md["tiled_access_tags"] = (RE.md["data_session"],) | ||
| RE.subscribe(tw) | ||
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Please remove any unused specs.