111 lines
5.2 KiB
Python
111 lines
5.2 KiB
Python
import copy
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import re
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from io import BytesIO
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import jinja2
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from docx.shared import Inches
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from docxtpl import DocxTemplate, Listing, InlineImage
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from crc import session
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from crc.api.common import ApiError
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from crc.models.file import CONTENT_TYPES, FileModel
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from crc.models.workflow import WorkflowModel
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from crc.scripts.script import Script
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from crc.services.file_service import FileService
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from crc.services.jinja_service import JinjaService
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from crc.services.workflow_processor import WorkflowProcessor
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class CompleteTemplate(Script):
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def get_description(self):
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return """Using the Jinja template engine, takes data available in the current task, and uses it to populate
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a word document that contains Jinja markup. Please see https://docxtpl.readthedocs.io/en/latest/
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for more information on exact syntax.
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Takes two arguments:
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1. The name of a MS Word docx file to use as a template.
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2. The 'code' of the IRB Document as set in the irb_documents.xlsx file."
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"""
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def do_task_validate_only(self, task, study_id, workflow_id, *args, **kwargs):
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"""For validation only, process the template, but do not store it in the database."""
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workflow = session.query(WorkflowModel).filter(WorkflowModel.id == workflow_id).first()
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self.process_template(task, study_id, workflow, *args, **kwargs)
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def do_task(self, task, study_id, workflow_id, *args, **kwargs):
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workflow = session.query(WorkflowModel).filter(WorkflowModel.id == workflow_id).first()
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final_document_stream = self.process_template(task, study_id, workflow, *args, **kwargs)
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file_name = args[0]
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irb_doc_code = args[1]
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FileService.add_workflow_file(workflow_id=workflow_id,
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task_spec_name=task.get_name(),
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name=file_name,
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content_type=CONTENT_TYPES['docx'],
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binary_data=final_document_stream.read(),
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irb_doc_code=irb_doc_code)
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def process_template(self, task, study_id, workflow=None, *args, **kwargs):
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"""Entry point, mostly worried about wiring it all up."""
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if len(args) < 2 or len(args) > 3:
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raise ApiError(code="missing_argument",
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message="The CompleteTemplate script requires 2 arguments. The first argument is "
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"the name of the docx template to use. The second "
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"argument is a code for the document, as "
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"set in the reference document %s. " % FileService.DOCUMENT_LIST)
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task_study_id = task.workflow.data[WorkflowProcessor.STUDY_ID_KEY]
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file_name = args[0]
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if task_study_id != study_id:
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raise ApiError(code="invalid_argument",
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message="The given task does not match the given study.")
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file_data_model = None
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if workflow is not None:
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# Get the workflow specification file with the given name.
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file_data_models = FileService.get_spec_data_files(
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workflow_spec_id=workflow.workflow_spec_id,
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workflow_id=workflow.id,
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name=file_name)
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if len(file_data_models) > 0:
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file_data_model = file_data_models[0]
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else:
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raise ApiError(code="invalid_argument",
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message="Uable to locate a file with the given name.")
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# Get images from file/files fields
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if len(args) == 3:
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image_file_data = self.get_image_file_data(args[2], task)
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else:
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image_file_data = None
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return JinjaService().make_template(BytesIO(file_data_model.data), task.data, image_file_data)
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def get_image_file_data(self, fields_str, task):
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image_file_data = []
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images_field_str = re.sub(r'[\[\]]', '', fields_str)
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images_field_keys = [v.strip() for v in images_field_str.strip().split(',')]
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for field_key in images_field_keys:
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if field_key in task.data:
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v = task.data[field_key]
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file_ids = v if isinstance(v, list) else [v]
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for file_id in file_ids:
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if isinstance(file_id, str) and file_id.isnumeric():
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file_id = int(file_id)
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if file_id is not None and isinstance(file_id, int):
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if not task.workflow.data[WorkflowProcessor.VALIDATION_PROCESS_KEY]:
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# Get the actual image data
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image_file_model = session.query(FileModel).filter_by(id=file_id).first()
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image_file_data_model = FileService.get_file_data(file_id, image_file_model)
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if image_file_data_model is not None:
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image_file_data.append(image_file_data_model)
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else:
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raise ApiError(
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code="not_a_file_id",
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message="The CompleteTemplate script requires 2-3 arguments. The third argument should "
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"be a comma-delimited list of File IDs")
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return image_file_data
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