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