cr-connect-workflow/crc/api/tools.py

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import io
import json
import connexion
from flask import send_file
from jinja2 import Template, UndefinedError
from crc.api.common import ApiError
from crc.scripts.complete_template import CompleteTemplate
from crc.scripts.script import Script
import crc.scripts
from crc.services.mails import send_test_email
def render_markdown(data, template):
"""
Provides a quick way to very that a Jinja markdown template will work properly on a given json
data structure. Useful for folks that are building these markdown templates.
"""
try:
template = Template(template)
data = json.loads(data)
return template.render(**data)
except UndefinedError as ue:
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raise ApiError(code="undefined_field", message=ue.message)
except Exception as e:
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raise ApiError(code="invalid_render", message=str(e))
def render_docx():
"""
Provides a quick way to verify that a Jinja docx template will work properly on a given json
data structure. Useful for folks that are building these templates.
"""
try:
file = connexion.request.files['file']
data = connexion.request.form['data']
target_stream = CompleteTemplate().make_template(file, json.loads(data))
return send_file(
io.BytesIO(target_stream.read()),
as_attachment=True,
attachment_filename="output.docx",
mimetype="application/octet-stream",
cache_timeout=-1 # Don't cache these files on the browser.
)
except ValueError as e:
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raise ApiError(code="undefined_field", message=str(e))
except Exception as e:
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raise ApiError(code="invalid_render", message=str(e))
def list_scripts():
"""Provides a list of scripts that can be called by a script task."""
scripts = Script.get_all_subclasses()
script_meta = []
for script_class in scripts:
script_meta.append(
{
"name": script_class.__name__,
"description": script_class().get_description()
})
return script_meta
def send_email(address):
"""Just sends a quick test email to assure the system is working."""
if not address:
address = "dan@sartography.com"
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return send_test_email(address, [address])
def evaluate_python_expression(expression, data):
"""Evaluate the given python expression, returning it's result. This is useful if the
front end application needs to do real-time processing on task data. If for instance
there is a hide expression that is based on a previous value in the same form."""
try:
data = json.loads(data)
locals().update(data)
return eval(expression)
except Exception as e:
raise ApiError("expression_error", str(e))