Better xlsx reports
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requirements.txt
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requirements.txt
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@@ -1,4 +1,4 @@
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# __init__.py
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# Version of the realpython-reader package
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__version__ = "1.1.2"
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__version__ = "1.2.1"
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@@ -2,16 +2,14 @@ from . import models
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import pandas as pd
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import sqlalchemy.exc
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import sqlite3
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# from sqlalchemy.exc import IntegrityError, OperationalError
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# from sqlite3 import IntegrityError, OperationalError
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import logging
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from datetime import date, datetime, timedelta
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from sqlalchemy import and_
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import uuid
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import base64
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# import base64
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from sqlalchemy import JSON
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import json
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from dateutil.relativedelta import relativedelta
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# from dateutil.relativedelta import relativedelta
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from getpass import getuser
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logger = logging.getLogger(f"submissions.{__name__}")
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@@ -94,11 +92,14 @@ def construct_submission_info(ctx:dict, info_dict:dict) -> models.BasicSubmissio
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instance = ctx['database_session'].query(models.BasicSubmission).filter(models.BasicSubmission.rsl_plate_num==info_dict['rsl_plate_num']).first()
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msg = "This submission already exists.\nWould you like to overwrite?"
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# get model based on submission type converted above
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logger.debug(f"Looking at models for submission type: {query}")
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model = getattr(models, query)
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logger.debug(f"We've got the model: {type(model)}")
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info_dict['submission_type'] = info_dict['submission_type'].replace(" ", "_").lower()
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# if query return nothing, ie doesn't already exist in db
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if instance == None:
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instance = model()
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logger.debug(f"Submission doesn't exist yet, creating new instance: {instance}")
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msg = None
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for item in info_dict:
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logger.debug(f"Setting {item} to {info_dict[item]}")
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@@ -133,11 +134,11 @@ def construct_submission_info(ctx:dict, info_dict:dict) -> models.BasicSubmissio
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logger.debug(f"Could not set attribute: {item} to {info_dict[item]}")
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continue
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# calculate cost of the run: immutable cost + mutable times number of columns
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try:
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instance.run_cost = instance.extraction_kit.immutable_cost + (instance.extraction_kit.mutable_cost * ((instance.sample_count / 8)/12))
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except TypeError:
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logger.debug(f"Looks like that kit doesn't have cost breakdown yet, using full plate cost.")
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instance.run_cost = instance.extraction_kit.cost_per_run
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try:
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instance.run_cost = instance.extraction_kit.immutable_cost + (instance.extraction_kit.mutable_cost * ((instance.sample_count / 8)/12))
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except (TypeError, AttributeError):
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logger.debug(f"Looks like that kit doesn't have cost breakdown yet, using full plate cost.")
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instance.run_cost = instance.extraction_kit.cost_per_run
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logger.debug(f"Constructed instance: {instance.to_string()}")
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logger.debug(msg)
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return instance, {'message':msg}
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@@ -15,9 +15,12 @@ from PyQt6.QtWebEngineWidgets import QWebEngineView
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from pathlib import Path
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import plotly
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import pandas as pd
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from openpyxl.utils import get_column_letter
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from openpyxl.styles import NamedStyle
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from xhtml2pdf import pisa
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# import plotly.express as px
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import yaml
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import pprint
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from backend.excel.parser import SheetParser
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from backend.excel.reports import convert_control_by_mode, convert_data_list_to_df
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@@ -35,7 +38,7 @@ import difflib
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from datetime import date
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from frontend.visualizations.charts import create_charts
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logger = logging.getLogger(__name__)
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logger = logging.getLogger(f'submissions.{__name__}')
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logger.info("Hello, I am a logger")
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class App(QMainWindow):
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@@ -65,6 +68,7 @@ class App(QMainWindow):
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self.controls_getter()
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self.show()
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def _createMenuBar(self):
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"""
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adds items to menu bar
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@@ -261,10 +265,11 @@ class App(QMainWindow):
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logger.debug("Will not add reagent.")
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if wanted_reagent != None:
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parsed_reagents.append(wanted_reagent)
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logger.debug(info)
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# logger.debug(info)
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# move samples into preliminary submission dict
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info['samples'] = self.samples
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# construct submission object
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logger.debug(f"Here is the info_dict: {pprint.pformat(info)}")
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base_submission, output = construct_submission_info(ctx=self.ctx, info_dict=info)
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# check output message for issues
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if output['message'] != None:
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@@ -376,7 +381,31 @@ class App(QMainWindow):
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# df.to_excel(fname, engine='openpyxl')
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with open(fname, "w+b") as f:
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pisa.CreatePDF(html, dest=f)
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df.to_excel(fname.with_suffix(".xlsx"), engine='openpyxl')
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writer = pd.ExcelWriter(fname.with_suffix(".xlsx"), engine='openpyxl')
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df.to_excel(writer, sheet_name="Report")
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worksheet = writer.sheets['Report']
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for idx, col in enumerate(df): # loop through all columns
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series = df[col]
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max_len = max((
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series.astype(str).map(len).max(), # len of largest item
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len(str(series.name)) # len of column name/header
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)) + 20 # adding a little extra space
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try:
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worksheet.column_dimensions[get_column_letter(idx)].width = max_len
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except ValueError:
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pass
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# set_column(idx, idx, max_len) # set column width
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# colu = worksheet.column_dimensions["C"]
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# style = NamedStyle(name="custom_currency", number_format='Currency')
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for cell in worksheet['C']:
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# try:
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# check = int(cell.row)
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# except TypeError:
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# continue
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if cell.row > 3:
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cell.style = 'Currency'
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writer.close()
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@@ -1,7 +1,7 @@
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{# template for constructing submission details #}
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{% for key, value in sub.items() if key != 'reagents' and key != 'samples' %}
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{{ key }}: {{ value }}
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{% if key=='Cost' %} {{ key }}: {{ "${:,.2f}".format(value) }} {% else %} {{ key }}: {{ value }} {% endif %}
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{% endfor %}
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Reagents:
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{% for item in sub['reagents'] %}
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