149 lines
5.3 KiB
Python
149 lines
5.3 KiB
Python
import enum
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from typing import cast
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from marshmallow_enum import EnumField
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from marshmallow_sqlalchemy import SQLAlchemyAutoSchema
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from sqlalchemy import func, Index
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from sqlalchemy.dialects.postgresql import UUID
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from crc import db, ma
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class FileType(enum.Enum):
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bpmn = "bpmm"
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csv = 'csv'
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dmn = "dmn"
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doc = "doc"
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docx = "docx"
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gif = 'gif'
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jpg = 'jpg'
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md = 'md'
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pdf = 'pdf'
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png = 'png'
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ppt = 'ppt'
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pptx = 'pptx'
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rtf = 'rtf'
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svg = "svg"
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svg_xml = "svg+xml"
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txt = 'txt'
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xls = 'xls'
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xlsx = 'xlsx'
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xml = 'xml'
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zip = 'zip'
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CONTENT_TYPES = {
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"bpmn": "text/xml",
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"csv": "text/csv",
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"dmn": "text/xml",
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"doc": "application/msword",
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"docx": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
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"gif": "image/gif",
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"jpg": "image/jpeg",
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"md" : "text/plain",
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"pdf": "application/pdf",
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"png": "image/png",
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"ppt": "application/vnd.ms-powerpoint",
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"pptx": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
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"rtf": "application/rtf",
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"svg": "image/svg+xml",
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"svg_xml": "image/svg+xml",
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"txt": "text/plain",
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"xls": "application/vnd.ms-excel",
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"xlsx": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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"xml": "application/xml",
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"zip": "application/zip"
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}
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class FileDataModel(db.Model):
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__tablename__ = 'file_data'
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id = db.Column(db.Integer, primary_key=True)
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md5_hash = db.Column(UUID(as_uuid=True), unique=False, nullable=False)
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data = db.Column(db.LargeBinary)
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version = db.Column(db.Integer, default=0)
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last_updated = db.Column(db.DateTime(timezone=True), default=func.now())
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file_model_id = db.Column(db.Integer, db.ForeignKey('file.id'))
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file_model = db.relationship("FileModel")
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class FileModel(db.Model):
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__tablename__ = 'file'
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id = db.Column(db.Integer, primary_key=True)
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name = db.Column(db.String)
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type = db.Column(db.Enum(FileType))
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is_status = db.Column(db.Boolean)
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content_type = db.Column(db.String)
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is_reference = db.Column(db.Boolean, nullable=False, default=False) # A global reference file.
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primary = db.Column(db.Boolean, nullable=False, default=False) # Is this the primary BPMN in a workflow?
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primary_process_id = db.Column(db.String, nullable=True) # An id in the xml of BPMN documents, critical for primary BPMN.
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workflow_spec_id = db.Column(db.String, db.ForeignKey('workflow_spec.id'), nullable=True)
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workflow_id = db.Column(db.Integer, db.ForeignKey('workflow.id'), nullable=True)
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study_id = db.Column(db.Integer, db.ForeignKey('study.id'), nullable=True)
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task_id = db.Column(db.String, nullable=True)
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irb_doc_code = db.Column(db.String, nullable=True) # Code reference to the irb_documents.xlsx reference file.
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form_field_key = db.Column(db.String, nullable=True)
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latest_version = db.Column(db.Integer, default=0)
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class FileModelSchema(SQLAlchemyAutoSchema):
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class Meta:
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model = FileModel
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load_instance = True
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include_relationships = True
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include_fk = True # Includes foreign keys
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type = EnumField(FileType)
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class LookupFileModel(db.Model):
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"""Takes the content of a file (like a xlsx, or csv file) and creates a key/value
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store that can be used for lookups and searches. This table contains the metadata,
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so we know the version of the file that was used, and what key column, and value column
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were used to generate this lookup table. ie, the same xls file might have multiple
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lookup file models, if different keys and labels are used - or someone decides to
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make a change. We need to handle full text search over the label and value columns,
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and not every column, because we don't know how much information will be in there. """
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__tablename__ = 'lookup_file'
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id = db.Column(db.Integer, primary_key=True)
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label_column = db.Column(db.String)
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value_column = db.Column(db.String)
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file_data_model_id = db.Column(db.Integer, db.ForeignKey('file_data.id'))
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class LookupDataModel(db.Model):
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__tablename__ = 'lookup_data'
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id = db.Column(db.Integer, primary_key=True)
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lookup_file_model_id = db.Column(db.Integer, db.ForeignKey('lookup_file.id'))
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lookup_file_model = db.relationship(LookupFileModel)
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value = db.Column(db.String)
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label = db.Column(db.String)
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# In the future, we might allow adding an additional "search" column if we want to search things not in label.
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data = db.Column(db.JSON) # all data for the row is stored in a json structure here, but not searched presently.
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# Assure there is a searchable index on the label column, so we can get fast results back.
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# query with:
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# search_results = LookupDataModel.query.filter(LookupDataModel.label.match("INTERNAL")).all()
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__table_args__ = (
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Index(
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'ix_lookupdata_tsv',
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func.to_tsvector('simple', label), # Use simple, not english to keep stop words in place.
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postgresql_using='gin'
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),
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)
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class LookupDataSchema(SQLAlchemyAutoSchema):
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class Meta:
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model = LookupDataModel
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load_instance = True
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include_relationships = False
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include_fk = False # Includes foreign keys
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class SimpleFileSchema(ma.Schema):
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class Meta:
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model = FileModel
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fields = ["name"]
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