import datetime
import dataclasses
from typing import Optional, List, Tuple, Sequence, Union, Dict, Any
from .archive import StatusLevel, StatusType
[docs]
@dataclasses.dataclass(frozen=True)
class DatasetId:
name: str
path: str
[docs]
@dataclasses.dataclass(frozen=True)
class Dataset:
dataset_id: DatasetId
icat_dataset_id: int
dataset_metadata: DatasetMetadata
[docs]
def as_dict(self) -> Dict[str, Any]:
return dataclasses.asdict(self)
[docs]
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> "Dataset":
"""Factory method to create a Dataset instance from a dictionary."""
data = data.copy()
data["dataset_id"] = DatasetId(**data["dataset_id"])
data["dataset_metadata"] = DatasetMetadata(**data["dataset_metadata"])
return cls(**data)
[docs]
class IcatClientInterface:
[docs]
def send_message(
self,
msg: str,
msg_type: Optional[str] = None,
beamline: Optional[str] = None,
proposal: Optional[str] = None,
dataset: Optional[str] = None,
beamline_only: Optional[bool] = None,
**payload
):
"""
Send a message to the proposal or beamline e-logbook.
:param msg: The message content.
:param msg_type: {'comment', 'debug', 'info', 'error', 'commandLine'}, optional.
:param beamline: The beamline name of the proposal or beamline e-logbook.
:param proposal: The proposal name of the e-logbook. Ignored if `beamline_only` is True.
:param dataset: The specific dataset name to link the message to.
:param beamline_only: if `True`, the message will be stored in the beamline e-logbook.
:param editable: Used with the `formatted` field, to determine the category of message. Annotation characterizes editable and unformatted messages, while Notification charaterizes non-editable and formatted messages.
:param formatted: Used with the `editable` field, to determine the category of message. Annotation characterizes editable and unformatted messages, while Notification charaterizes non-editable and formatted messages.
:param mimetype: {'text/plain', 'text/html'}, optional.
:param payload: Additional payload for the message. It can contain tags (list of strings or list of dictionaries), the machine, the software.
"""
raise NotImplementedError
[docs]
def disconnect(self):
pass
[docs]
def send_binary_data(
self,
data: bytes,
mimetype: Optional[str] = None,
beamline: Optional[str] = None,
proposal: Optional[str] = None,
beamline_only: Optional[bool] = None,
**payload
):
"""
Send an image in base64 format to the proposal or beamline e-logbook.
:param data: The binary message content.
:param mimetype: {'text/plain', 'text/html'}, optional.
:param beamline: The beamline name of the proposal or beamline e-logbook.
:param proposal: The proposal name of the e-logbook. Ignored if `beamline_only` is True.
:param beamline_only: if `True`, the message will be stored in the beamline e-logbook.
:param payload: Additional payload for the e-logbook message. It can contain tags (list of strings or list of dictionaries), the machine, the software.
"""
raise NotImplementedError
[docs]
def send_text_file(
self,
filename: str,
beamline: Optional[str] = None,
proposal: Optional[str] = None,
dataset: Optional[str] = None,
beamline_only: Optional[bool] = None,
**payload
):
"""
Send the content of a text file as a message to the proposal or beamline e-logbook.
:param filename: The filename containing the message to be sent.
:param beamline: The beamline name of the proposal or beamline e-logbook.
:param proposal: The proposal name of the e-logbook. Ignored if `beamline_only` is True.
:param beamline_only: if `True`, the message will be stored in the beamline e-logbook.
:param payload: Additional payload for the e-logbook message. It can contain tags (list of strings or list of dictionaries), the machine, the software.
"""
raise NotImplementedError
[docs]
def send_binary_file(
self,
filename: str,
beamline: Optional[str] = None,
proposal: Optional[str] = None,
beamline_only: Optional[bool] = None,
**payload
):
"""
Send the content of a file as a binary image to the proposal or beamline e-logbook.
:param filename: The filename of the image to be sent.
:param beamline: The beamline name of the proposal or beamline e-logbook.
:param proposal: The proposal name of the e-logbook. Ignored if `beamline_only` is True.
:param beamline_only: if `True`, the message will be stored in the beamline e-logbook.
:param payload: Additional payload for the e-logbook message. It can contain tags (list of strings or list of dictionaries), the machine, the software.
"""
raise NotImplementedError
[docs]
def start_investigation(
self,
beamline: Optional[str] = None,
proposal: Optional[str] = None,
start_datetime=None,
end_datetime=None,
):
"""
Send a message to ActiveMQ to either synchronize the experiment session from the User Portal in ICAT or to create a test experiment session in ICAT.
:param beamline: The beamline name of the proposal.
:param proposal: The proposal name.
:param start_datetime: The start date of the experiment session, timezone local time. Current date time by default.
:param end_datetime: The end date of the experiment session, timezone local time.
"""
raise NotImplementedError
[docs]
def store_dataset(
self,
beamline: Optional[str] = None,
proposal: Optional[str] = None,
dataset: Optional[str] = None,
path: Optional[str] = None,
metadata: dict = None,
store_filename: Optional[str] = None,
):
"""
Request icat to store raw dataset.
:param beamline str: beamline name like id01, id15a, bm18...
:param proposal str: proposal name like in1169, blc14795, ihma429...
:param str dataset: dataset name.
:param str path: path to the raw dataset to store. Must be a folder.
:param dict metadata: metadata to associate to the dataset. Must contains keys defined by the appropriate application definition from https://gitlab.esrf.fr/icat/hdf5-master-config/-/blob/88a975039694d5dba60e240b7bf46c22d34065a0/hdf5_cfg.xml.
:param str store_filename: xml file with metadata to be stored.
"""
raise NotImplementedError
[docs]
def store_processed_data(
self,
beamline: Optional[str] = None,
proposal: Optional[str] = None,
dataset: Optional[str] = None,
path: Optional[str] = None,
metadata: dict = None,
raw: Sequence = tuple(),
store_filename: Optional[str] = None,
):
"""
Request icat to store a processed dataset.
:param beamline str: beamline name like id01, id15a, bm18...
:param proposal str: proposal name like in1169, blc14795, ihma429...
:param str dataset: dataset name like sample_XYZ.
:param str path: path to the processed dataset to store. Can be a file or a folder.
:param dict metadata: metadata to associate to the dataset. Must contains keys defined by the appropriate application definition from https://gitlab.esrf.fr/icat/hdf5-master-config/-/blob/88a975039694d5dba60e240b7bf46c22d34065a0/hdf5_cfg.xml.
:param tuple raw: Path to the raw dataset(s). Expects to be path to 'bliss dataset' folder(s). See https://confluence.esrf.fr/display/BM02KW/File+structure for
If processing rely on more than one dataset then all dataset folders must be provided.
:param str store_filename: xml file with metadata to be stored.
"""
raise NotImplementedError
[docs]
def store_dataset_from_file(self, store_filename: Optional[str] = None):
"""
Send a message to ActiveMQ to store a dataset and the associated metadata from a xml file stored on the disk.
:param store_filename: The XML filename containing all dataset metadata.
"""
raise NotImplementedError
[docs]
def investigation_info(
self,
beamline: str,
proposal: str,
date: Optional[Union[datetime.datetime, datetime.date]] = None,
allow_open_ended: bool = True,
timeout: Optional[float] = None,
) -> Optional[dict]:
"""
Return the information of the experiment session corresponding to a beamline, proposal and date.
:param beamline: The beamline name.
:param proposal: The proposal name.
:param date: The date of the proposal, current date by default.
:param allow_open_ended: If `True`, enable to select an unofficial experiment session.
:param timeout: Set a timeout for the ICAT request.
:returns: If found, return the proposal, beamline, e-logbbok url and data portal url of the experiment session.
"""
raise NotImplementedError
[docs]
def registered_dataset_ids(
self,
beamline: str,
proposal: str,
date: Optional[Union[datetime.datetime, datetime.date]] = None,
allow_open_ended: bool = True,
timeout: Optional[float] = None,
) -> Optional[List[DatasetId]]:
"""
Return the dataset list of an experiment session.
:param beamline: The beamline name of the proposal.
:param proposal: The proposal name.
:param date: The date of the proposal, current date by default.
:param allow_open_ended: If `True`, enable to select an unofficial experiment session.
:param timeout: Set a timeout for the ICAT request.
:returns: The list of datasets (name and path).
"""
raise NotImplementedError
[docs]
def registered_datasets(
self,
beamline: str,
proposal: str,
date: Optional[Union[datetime.datetime, datetime.date]] = None,
allow_open_ended: bool = True,
timeout: Optional[float] = None,
) -> Optional[List[Dataset]]:
"""
Return the dataset information list of an experiment session.
:param beamline: The beamline name of the proposal.
:param proposal: The proposal name.
:param date: The date of the proposal, current date by default.
:param allow_open_ended: If `True`, enable to select an unofficial experiment session.
:param timeout: Set a timeout for the ICAT request.
:returns: The list of datasets (name, path, ICAT identifier, and :class:`.DatasetMetadata`).
"""
raise NotImplementedError
[docs]
def investigation_info_string(
self,
beamline: str,
proposal: str,
date: Optional[Union[datetime.datetime, datetime.date]] = None,
allow_open_ended: bool = True,
timeout: Optional[float] = None,
) -> str:
"""
Return the experiment session information as a string.
:param beamline: The beamline name.
:param proposal: The proposal name.
:param date: The date of the proposal, current date by default.
:param allow_open_ended: If `True`, enable to select an unofficial experiment session.
:param timeout: Set a timeout for the ICAT request.
:returns: If found, return the experiment session information from the metadata catalog as a string.
"""
raise NotImplementedError
[docs]
def investigation_summary(
self,
beamline: str,
proposal: str,
date: Optional[Union[datetime.datetime, datetime.date]] = None,
allow_open_ended: bool = True,
timeout: Optional[float] = None,
) -> List[Tuple]:
"""
Return the experiment session information as a `Tuple`.
:param beamline: The beamline name.
:param proposal: The proposal name.
:param date: The date of the proposal, current date by default.
:param allow_open_ended: If `True`, enable to select an unofficial experiment session.
:param timeout: Set a timeout for the ICAT request.
:returns: If found, return the experiment session information from the metadata catalog as a `Tuple`.
"""
raise NotImplementedError
[docs]
def update_archive_restore_status(
self,
dataset_id: int = None,
type: StatusType = None,
level: StatusLevel = StatusLevel.INFO,
message: Optional[str] = None,
):
"""
Update the archiving or restore status of a dataset.
:param dataset_id: The ICAT dataset identifier.
:param type: The type of the status, possible options are {'archiving', 'restoration'}.
:param level: The level of the status message; possible options are {'info', 'warning', 'error'}.
:param message: The optional status' message.
"""
raise NotImplementedError
[docs]
def add_files(
self,
dataset_id: int = None,
):
"""
Add missing files to a dataset already ingested.
:param dataset_id: The ICAT dataset identifier.
"""
raise NotImplementedError
@property
def expire_datasets_on_close(self) -> bool:
"""
A flag indicating whether the dataset expires when it is closed or if it is synchronized with the metadata catalog.
"""
raise NotImplementedError
@property
def reason_for_missing_information(self) -> str:
"""
A string explaining why some information is missing in the metadata catalog.
"""
raise NotImplementedError