def make_report_qualtrics(
d, d_unmatched, data_level, course_data_filepath, course_row_index, template_filepath, plotting=True
):
"""
Run the run_qualtrics() function to produce the entire set of saved plots.
"""
# import the HTML template
template = open(template_filepath, "r")
html_template_string = template.read()
print("course_row_index = {} (make_report_qualtrics)".format(course_row_index))
# generate all the plots and metadata
template_fill_data = P.run_qualtrics(d, d_unmatched, data_level, course_data_filepath, course_row_index, plotting)
# create a new HTML document
html_new_report = html_template_string # initialize the new report prior to subsituting in content
for var in list(template_fill_data.keys()):
# print var
html_new_report = html_new_report.replace("{" + var + "}", template_fill_data[var])
template.close()
single_course_data = P.F.Import.course_data.irow(course_row_index)
_directory_report = single_course_data["Directory"]
if _directory_report[-1] != "\\":
_directory_report += "\\"
_course_title = single_course_data["Course_Title"]
_course_number = single_course_data["Course_Number"]
_ugly_name = single_course_data["Ugly_name"]
# Create and save the new HTML report file
_filename_report = _directory_report + "ECLASS_Report_" + _ugly_name + ".html"
report = open(_filename_report, "w")
report.write(html_new_report)
report.close()
def make_report(class_name="Western_Michigan_University_Physics_1140_General_Physics_1_Lab", directory="empty"):
# class_name = 'Western_Michigan_University_Physics_1140_General_Physics_1_Lab'
# make a directory with the date and time
if directory == "empty":
today = dt.datetime.now()
if _user == "Ben":
_directory_date = _directory_html + today.strftime("%Y-%m-%d %H.%M.%S %p") + "\\"
elif _user == "Takako":
_directory_date = _directory_html + today.strftime("%Y-%m-%d %H.%M.%S %p") + "/"
else:
_directory_date = directory
if os.path.isdir(_directory_date) == False:
os.mkdir(_directory_date)
# make a subdirectory for the report for the school.
# The HTML file is saved within this directory
if _user == "Ben":
_directory_report = (
_directory_date
+ P.get_readable_institution(class_name)
+ " "
+ P.get_readable_course_name(class_name)
+ "\\"
)
elif _user == "Takako":
_directory_report = (
_directory_date
+ P.get_readable_institution(class_name)
+ " "
+ P.get_readable_course_name(class_name)
+ "/"
)
if os.path.isdir(_directory_report) == False:
os.mkdir(_directory_report)
# Create a sub-sub-directory for all the plots and maybe tables.
# I am not sure how to best incorporate the tables at this point. Does pandas
# have an HTML export for the pandas DataFrames?
if _user == "Ben":
_directory_graphics = _directory_report + "Graphics\\"
elif _user == "Takako":
_directory_graphics = _directory_report + "Graphics/"
if os.path.isdir(_directory_graphics) == False:
os.mkdir(_directory_graphics)
# Make the graphics
# make_graphics(data=[], directory_graphics = _directory_graphics)
# Save the HTML report within the subdirectory for the course
# Save hte accompanying graphics within the subdirectory for course\graphics
# Load the HTML Template
template = open(_filename_template, "r")
# Make all the graphics and get the info from the data set
template_fill_data = P.run(class_name=class_name, graphics_directory=_directory_graphics)
print(template_fill_data)
if template_fill_data == "error":
return "error"
html_template_string = template.read()
html_new_report = html_template_string # initialize the new report prior to subsituting in content
for var in list(template_fill_data.keys()):
# print var
html_new_report = html_new_report.replace("{" + var + "}", template_fill_data[var])
# print template_fill_data[var]
# grade_table_html = P.run()
#
# html_new_report = html_new_report.replace('{GRADE_TABLE}',grade_table_html)
template.close()
# print html_new_report
# Create and save the new HTML report file
_filename_report = _directory_report + "ECLASS_Report_" + P.get_readable_course_name(class_name) + ".html"
report = open(_filename_report, "w")
report.write(html_new_report)
report.close()