mid refactor for improved rebustness and readability
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@@ -74,16 +74,15 @@ class SheetParser(object):
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Returns:
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pd.DataFrame: relevant dataframe from excel sheet
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"""
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"""
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# self.xl is a pd.ExcelFile so we need to parse it into a df
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submission_info = self.xl.parse(sheet_name=sheet_name, dtype=object)
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self.sub['submitter_plate_num'] = submission_info.iloc[0][1]
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self.sub['rsl_plate_num'] = submission_info.iloc[10][1]
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self.sub['submitted_date'] = submission_info.iloc[1][1]
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self.sub['submitting_lab'] = submission_info.iloc[0][3]
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self.sub['sample_count'] = submission_info.iloc[2][3]
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self.sub['extraction_kit'] = submission_info.iloc[3][3]
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return submission_info
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@@ -104,10 +103,6 @@ class SheetParser(object):
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if ii == 11:
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continue
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logger.debug(f"Running reagent parse for {row[1]} with type {type(row[1])} and value: {row[2]} with type {type(row[2])}")
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# try:
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# check = not np.isnan(row[1])
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# except TypeError:
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# check = True
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if not isinstance(row[2], float) and check_not_nan(row[1]):
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# must be prefixed with 'lot_' to be recognized by gui
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try:
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@@ -122,13 +117,7 @@ class SheetParser(object):
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logger.debug(f"Couldn't upperize {row[2]}, must be a number")
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output_var = row[2]
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logger.debug(f"Output variable is {output_var}")
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# self.sub[f"lot_{reagent_type}"] = output_var
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# update 2023-02-10 to above allowing generation of expiry date in adding reagent to db.
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logger.debug(f"Expiry date for imported reagent: {row[3]}")
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# try:
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# check = not np.isnan(row[3])
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# except TypeError:
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# check = True
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if check_not_nan(row[3]):
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expiry = row[3].date()
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else:
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@@ -146,19 +135,8 @@ class SheetParser(object):
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# reagents
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# must be prefixed with 'lot_' to be recognized by gui
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# Todo: find a more adaptable way to read reagents.
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reagent_range = submission_info.iloc[1:13, 4:8]
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_parse_reagents(reagent_range)
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# self.sub['lot_wash_1'] = submission_info.iloc[1][6] #if pd.isnull(submission_info.iloc[1][6]) else string_formatter(submission_info.iloc[1][6])
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# self.sub['lot_wash_2'] = submission_info.iloc[2][6] #if pd.isnull(submission_info.iloc[2][6]) else string_formatter(submission_info.iloc[2][6])
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# self.sub['lot_binding_buffer'] = submission_info.iloc[3][6] #if pd.isnull(submission_info.iloc[3][6]) else string_formatter(submission_info.iloc[3][6])
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# self.sub['lot_magnetic_beads'] = submission_info.iloc[4][6] #if pd.isnull(submission_info.iloc[4][6]) else string_formatter(submission_info.iloc[4][6])
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# self.sub['lot_lysis_buffer'] = submission_info.iloc[5][6] #if np.nan(submission_info.iloc[5][6]) else string_formatter(submission_info.iloc[5][6])
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# self.sub['lot_elution_buffer'] = submission_info.iloc[6][6] #if pd.isnull(submission_info.iloc[6][6]) else string_formatter(submission_info.iloc[6][6])
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# self.sub['lot_isopropanol'] = submission_info.iloc[9][6] #if pd.isnull(submission_info.iloc[9][6]) else string_formatter(submission_info.iloc[9][6])
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# self.sub['lot_ethanol'] = submission_info.iloc[10][6] #if pd.isnull(submission_info.iloc[10][6]) else string_formatter(submission_info.iloc[10][6])
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# self.sub['lot_positive_control'] = submission_info.iloc[103][1] #if pd.isnull(submission_info.iloc[103][1]) else string_formatter(submission_info.iloc[103][1])
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# self.sub['lot_plate'] = submission_info.iloc[12][6] #if pd.isnull(submission_info.iloc[12][6]) else string_formatter(submission_info.iloc[12][6])
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# get individual sample info
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sample_parser = SampleParser(submission_info.iloc[15:111])
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sample_parse = getattr(sample_parser, f"parse_{self.sub['submission_type'].lower()}_samples")
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@@ -178,12 +156,8 @@ class SheetParser(object):
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Args:
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df (pd.DataFrame): input sub dataframe
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"""
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# logger.debug(df)
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# iterate through sub-df rows
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for ii, row in df.iterrows():
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# try:
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# check = not np.isnan(row[5])
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# except TypeError:
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# check = True
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if not isinstance(row[5], float) and check_not_nan(row[5]):
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# must be prefixed with 'lot_' to be recognized by gui
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# regex below will remove 80% from 80% ethanol in the Wastewater kit.
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@@ -202,34 +176,26 @@ class SheetParser(object):
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else:
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expiry = date.today()
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self.sub[f"lot_{output_key}"] = {'lot':output_var, 'exp':expiry}
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# parse submission sheet
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submission_info = self._parse_generic("WW Submissions (ENTER HERE)")
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# parse enrichment sheet
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enrichment_info = self.xl.parse("Enrichment Worksheet", dtype=object)
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# set enrichment reagent range
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enr_reagent_range = enrichment_info.iloc[0:4, 9:20]
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# parse extraction sheet
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extraction_info = self.xl.parse("Extraction Worksheet", dtype=object)
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# set extraction reagent range
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ext_reagent_range = extraction_info.iloc[0:5, 9:20]
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# parse qpcr sheet
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qprc_info = self.xl.parse("qPCR Worksheet", dtype=object)
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# set qpcr reagent range
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pcr_reagent_range = qprc_info.iloc[0:5, 9:20]
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# compile technician info
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self.sub['technician'] = f"Enr: {enrichment_info.columns[2]}, Ext: {extraction_info.columns[2]}, PCR: {qprc_info.columns[2]}"
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_parse_reagents(enr_reagent_range)
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_parse_reagents(ext_reagent_range)
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_parse_reagents(pcr_reagent_range)
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# reagents
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# logger.debug(qprc_info)
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# self.sub['lot_lysis_buffer'] = enrichment_info.iloc[0][14] #if pd.isnull(enrichment_info.iloc[0][14]) else string_formatter(enrichment_info.iloc[0][14])
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# self.sub['lot_proteinase_K'] = enrichment_info.iloc[1][14] #if pd.isnull(enrichment_info.iloc[1][14]) else string_formatter(enrichment_info.iloc[1][14])
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# self.sub['lot_magnetic_virus_particles'] = enrichment_info.iloc[2][14] #if pd.isnull(enrichment_info.iloc[2][14]) else string_formatter(enrichment_info.iloc[2][14])
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# self.sub['lot_enrichment_reagent_1'] = enrichment_info.iloc[3][14] #if pd.isnull(enrichment_info.iloc[3][14]) else string_formatter(enrichment_info.iloc[3][14])
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# self.sub['lot_binding_buffer'] = extraction_info.iloc[0][14] #if pd.isnull(extraction_info.iloc[0][14]) else string_formatter(extraction_info.iloc[0][14])
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# self.sub['lot_magnetic_beads'] = extraction_info.iloc[1][14] #if pd.isnull(extraction_info.iloc[1][14]) else string_formatter(extraction_info.iloc[1][14])
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# self.sub['lot_wash'] = extraction_info.iloc[2][14] #if pd.isnull(extraction_info.iloc[2][14]) else string_formatter(extraction_info.iloc[2][14])
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# self.sub['lot_ethanol'] = extraction_info.iloc[3][14] #if pd.isnull(extraction_info.iloc[3][14]) else string_formatter(extraction_info.iloc[3][14])
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# self.sub['lot_elution_buffer'] = extraction_info.iloc[4][14] #if pd.isnull(extraction_info.iloc[4][14]) else string_formatter(extraction_info.iloc[4][14])
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# self.sub['lot_master_mix'] = qprc_info.iloc[0][14] #if pd.isnull(qprc_info.iloc[0][14]) else string_formatter(qprc_info.iloc[0][14])
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# self.sub['lot_pre_mix_1'] = qprc_info.iloc[1][14] #if pd.isnull(qprc_info.iloc[1][14]) else string_formatter(qprc_info.iloc[1][14])
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# self.sub['lot_pre_mix_2'] = qprc_info.iloc[2][14] #if pd.isnull(qprc_info.iloc[2][14]) else string_formatter(qprc_info.iloc[2][14])
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# self.sub['lot_positive_control'] = qprc_info.iloc[3][14] #if pd.isnull(qprc_info.iloc[3][14]) else string_formatter(qprc_info.iloc[3][14])
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# self.sub['lot_ddh2o'] = qprc_info.iloc[4][14] #if pd.isnull(qprc_info.iloc[4][14]) else string_formatter(qprc_info.iloc[4][14])
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# get individual sample info
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# parse samples
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sample_parser = SampleParser(submission_info.iloc[16:40])
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sample_parse = getattr(sample_parser, f"parse_{self.sub['submission_type'].lower()}_samples")
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self.sub['samples'] = sample_parse()
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@@ -241,6 +207,12 @@ class SampleParser(object):
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"""
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def __init__(self, df:pd.DataFrame) -> None:
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"""
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convert sample sub-dataframe to dictionary of records
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Args:
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df (pd.DataFrame): input sample dataframe
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"""
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self.samples = df.to_dict("records")
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@@ -287,6 +259,7 @@ class SampleParser(object):
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not_a_nan = not np.isnan(sample['Unnamed: 3'])
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except TypeError:
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not_a_nan = True
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# if we don't have a sample full id, make one up
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if not_a_nan:
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new.ww_sample_full_id = sample['Unnamed: 3']
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else:
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