100 lines
3.7 KiB
Python
100 lines
3.7 KiB
Python
import hashlib
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import io
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import json
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import connexion
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from SpiffWorkflow.bpmn.PythonScriptEngine import PythonScriptEngine
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from flask import send_file
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from jinja2 import Template, UndefinedError
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from crc.api.common import ApiError
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from crc.scripts.complete_template import CompleteTemplate
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from crc.scripts.script import Script
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from crc.services.email_service import EmailService
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from config.default import DEFAULT_SENDER
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from crc.services.workflow_processor import CustomBpmnScriptEngine
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def render_markdown(data, template):
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"""
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Provides a quick way to very that a Jinja markdown template will work properly on a given json
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data structure. Useful for folks that are building these markdown templates.
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"""
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try:
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template = Template(template)
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data = json.loads(data)
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return template.render(**data)
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except UndefinedError as ue:
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raise ApiError(code="undefined_field", message=ue.message)
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except Exception as e:
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raise ApiError(code="invalid_render", message=str(e))
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def render_docx():
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"""
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Provides a quick way to verify that a Jinja docx template will work properly on a given json
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data structure. Useful for folks that are building these templates.
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"""
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try:
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file = connexion.request.files['file']
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data = connexion.request.form['data']
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target_stream = CompleteTemplate().make_template(file, json.loads(data))
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return send_file(
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io.BytesIO(target_stream.read()),
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as_attachment=True,
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attachment_filename="output.docx",
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mimetype="application/octet-stream",
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cache_timeout=-1 # Don't cache these files on the browser.
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)
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except ValueError as e:
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raise ApiError(code="undefined_field", message=str(e))
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except Exception as e:
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raise ApiError(code="invalid_render", message=str(e))
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def list_scripts():
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"""Provides a list of scripts that can be called by a script task."""
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scripts = Script.get_all_subclasses()
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script_meta = []
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for script_class in scripts:
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script_meta.append(
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{
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"name": script_class.__name__,
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"description": script_class().get_description()
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})
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return script_meta
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def send_email(subject, address, body, data=None):
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"""Just sends a quick test email to assure the system is working."""
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if address and body:
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body = body.decode('UTF-8')
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return send_test_email(subject, address, body, json.loads(data))
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else:
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raise ApiError(code='missing_parameter',
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message='You must provide an email address and a message.')
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def evaluate_python_expression(body):
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"""Evaluate the given python expression, returning its result. This is useful if the
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front end application needs to do real-time processing on task data. If for instance
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there is a hide expression that is based on a previous value in the same form.
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The response includes both the result, and a hash of the original query, subsequent calls
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of the same hash are unnecessary. """
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try:
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script_engine = CustomBpmnScriptEngine()
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result = script_engine.eval(body['expression'], body['data'])
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return {"result": result, "expression": body['expression'], "key": body['key']}
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except Exception as e:
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return {"result": False, "expression": body['expression'], "key": body['key'], "error": str(e)}
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def send_test_email(subject, address, message, data=None):
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rendered, wrapped = EmailService().get_rendered_content(message, data)
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EmailService.add_email(
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subject=subject,
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sender=DEFAULT_SENDER,
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recipients=[address],
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content=rendered,
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content_html=wrapped)
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