From 6c74da7dda6ac0429e856f0173101b8678a4f5c5 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Fri, 26 Jun 2026 10:27:56 -0400 Subject: [PATCH 01/60] Use namedtuple for FLAG and FLAG_CRITERIA --- quantaq_cli/variables.py | 153 ++++++++++++++++++++++++++++----------- 1 file changed, 110 insertions(+), 43 deletions(-) diff --git a/quantaq_cli/variables.py b/quantaq_cli/variables.py index ff9a5eb..4f1be37 100644 --- a/quantaq_cli/variables.py +++ b/quantaq_cli/variables.py @@ -1,56 +1,123 @@ +############################################################################### + +"""variables.py + +Per-model data-quality flags. + +Each flag has a name, an integer bitmask value, and the set of columns to set +to NaN when the flag is raised: + + * a list of column names -> NaN just those columns + * an empty list -> flag carries no column-level action + * None -> NaN the entire row """ -Flags are in format (name, value, columns to NaN) -""" -FLAGS = dict() +from collections import namedtuple + +Flag = namedtuple("Flag", ["name", "value", "nan_columns"]) + +# Shared column groups, factored out so the per-model tables stay readable and +# the lists can't silently drift out of sync. +_OPC_COLUMNS_V1 = ["bin0", "bin1", "bin2", "bin3", "bin4", "bin5", "opc_flow"] + +_OPC_COLUMNS = [ + "bin0", "bin1", "bin2", "bin3", "bin4", "bin5", "bin6", "bin7", "bin8", "bin9", + "bin10", "bin11", "bin12", "bin13", "bin14", "bin15", "bin16", "bin17", "bin18", "bin19", + "bin20", "bin21", "bin22", "bin23", "bin1MToF", "bin3MToF", "bin5MToF", "bin7MToF", + "sample_period", "sample_flow", "opc_temp", "opc_rh", "opc_pm1", "opc_pm25", "opc_pm10", + "laser_status", +] + +_NEPH_COLUMNS = [ + "pm1_std", "pm25_std", "pm10_std", "pm1_env", "pm25_env", "pm10_env", + "neph_bin0", "neph_bin1", "neph_bin2", "neph_bin3", "neph_bin4", "neph_bin5", +] + +FLAGS = {} FLAGS["v100"] = [ - ("FLAG_STARTUP", 1, []), - ("FLAG_OPC", 2, ["bin0", "bin1", "bin2", "bin3", "bin4", "bin5", "opc_flow"]), - ("FLAG_TOTAL_COUNTS", 4, ["voc_raw", "pressure", "temp_manifold", "rh_manifold", "temp_box", - "dew_point", "noise", "solar", "wind_dir", "wind_speed", - "sample_time", "opc_flow", "manifold_temp", "manifold_rh"]), - ("FLAG_CO", 8, ["co_we", "co_ae"]), - ("FLAG_NO", 16, ["no_we", "no_ae"]), - ("FLAG_NO2", 32, ["no2_we", "no2_ae"]), - ("FLAG_O3", 64, ["o3_we", "o3_ae"]), - ("FLAG_OPC_RECORD_NUM", 128, ["bin0", "bin1", "bin2", "bin3", "bin4", "bin5", "opc_flow"]), - ("FLAG_CO2", 256 , ["co2_raw"]), - # ("FLAG_PP", 512, ), - ("FLAG_ROW", 1024, None) + Flag("FLAG_STARTUP", 1, []), + Flag("FLAG_OPC", 2, _OPC_COLUMNS_V1), + Flag("FLAG_TOTAL_COUNTS", 4, [ + "voc_raw", "pressure", "temp_manifold", "rh_manifold", "temp_box", + "dew_point", "noise", "solar", "wind_dir", "wind_speed", + "sample_time", "opc_flow", "manifold_temp", "manifold_rh", + ]), + Flag("FLAG_CO", 8, ["co_we", "co_ae"]), + Flag("FLAG_NO", 16, ["no_we", "no_ae"]), + Flag("FLAG_NO2", 32, ["no2_we", "no2_ae"]), + Flag("FLAG_O3", 64, ["o3_we", "o3_ae"]), + Flag("FLAG_OPC_RECORD_NUM", 128, _OPC_COLUMNS_V1), + Flag("FLAG_CO2", 256, ["co2_raw"]), + # Flag("FLAG_PP", 512, [...]), + Flag("FLAG_ROW", 1024, None), ] -# flags for the v200 are the same as the v100 +# v200 flags are identical to the v100 flags. FLAGS["v200"] = FLAGS["v100"] FLAGS["modulair_pm"] = [ - ("FLAG_STARTUP", 1, []), - ("FLAG_OPC", 2, ["bin0", "bin1", "bin2", "bin3", "bin4", "bin5", "bin6", "bin7", "bin8", "bin9", - "bin10", "bin11", "bin12", "bin13", "bin14", "bin15", "bin16", "bin17", "bin18", "bin19", - "bin20", "bin21", "bin22", "bin23", "bin1MToF", "bin3MToF", "bin5MToF", "bin7MToF", - "sample_period", "sample_flow", "opc_temp", "opc_rh", "opc_pm1", "opc_pm25", "opc_pm10", "laser_status"]), - ("FLAG_NEPH", 4, ["pm1_std", "pm25_std", "pm10_std", "pm1_env", "pm25_env", "pm10_env", - "neph_bin0", "neph_bin1", "neph_bin2", "neph_bin3", "neph_bin4", "neph_bin5"]), - ("FLAG_RHTP", 8, ["sample_rh", "sample_temp", "sample_pres"]), - ("FLAG_ROW", 1024, None) + Flag("FLAG_STARTUP", 1, []), + Flag("FLAG_OPC", 2, _OPC_COLUMNS), + Flag("FLAG_NEPH", 4, _NEPH_COLUMNS), + Flag("FLAG_RHTP", 8, ["sample_rh", "sample_temp", "sample_pres"]), + Flag("FLAG_ROW", 1024, None), ] FLAGS["modulair"] = [ - ("FLAG_STARTUP", 1, []), - ("FLAG_OPC", 2, ["bin0", "bin1", "bin2", "bin3", "bin4", "bin5", "bin6", "bin7", "bin8", "bin9", - "bin10", "bin11", "bin12", "bin13", "bin14", "bin15", "bin16", "bin17", "bin18", "bin19", - "bin20", "bin21", "bin22", "bin23", "bin1MToF", "bin3MToF", "bin5MToF", "bin7MToF", - "sample_period", "sample_flow", "opc_temp", "opc_rh", "opc_pm1", "opc_pm25", "opc_pm10", "laser_status"]), - ("FLAG_NEPH", 4, ["pm1_std", "pm25_std", "pm10_std", "pm1_env", "pm25_env", "pm10_env", - "neph_bin0", "neph_bin1", "neph_bin2", "neph_bin3", "neph_bin4", "neph_bin5"]), - ("FLAG_RHT", 8, ["sample_rh", "sample_temp"]), - ("FLAG_CO", 16, ["co_we", "co_ae", "co_diff"]), - ("FLAG_NO", 32, ["no_we", "no_ae", "no_diff"]), - ("FLAG_NO2", 64, ["no2_we", "no2_ae", "no2_diff"]), - ("FLAG_O3", 128, ["ox_we", "ox_ae", "ox_diff", "o3_diff"]), - ("FLAG_CO2", 256, ["co2_raw"]), - ("FLAG_SO2", 512, ["so2_we", "so2_ae", "so2_diff"]), - ("FLAG_H2S", 1024, ["h2s_we", "h2s_ae", "h2s_diff"]), - ("FLAG_BAT", 2048, ["bat_voltage", "soc", "vbat"]), + Flag("FLAG_STARTUP", 1, []), + Flag("FLAG_OPC", 2, _OPC_COLUMNS), + Flag("FLAG_NEPH", 4, _NEPH_COLUMNS), + Flag("FLAG_RHT", 8, ["sample_rh", "sample_temp"]), + Flag("FLAG_CO", 16, ["co_we", "co_ae", "co_diff"]), + Flag("FLAG_NO", 32, ["no_we", "no_ae", "no_diff"]), + Flag("FLAG_NO2", 64, ["no2_we", "no2_ae", "no2_diff"]), + Flag("FLAG_O3", 128, ["ox_we", "ox_ae", "ox_diff", "o3_diff"]), + Flag("FLAG_CO2", 256, ["co2_raw"]), + Flag("FLAG_SO2", 512, ["so2_we", "so2_ae", "so2_diff"]), + Flag("FLAG_H2S", 1024, ["h2s_we", "h2s_ae", "h2s_diff"]), + Flag("FLAG_BAT", 2048, ["bat_voltage", "soc", "vbat"]), ] -SUPPORTED_MODELS = FLAGS.keys() \ No newline at end of file +SUPPORTED_MODELS = FLAGS.keys() + +############################################################################### + +Range = namedtuple("Range", ["column", "lo", "hi"]) +Gap = namedtuple("Gap", ["gap_in_seconds", "post_gap_flag_length_seconds"]) + +FLAG_CRITERIA = { + "database": { + "default": { # for DB flags, criteria are consistent across all QuantAQ products + "FLAG_STARTUP": [Gap(60 * 60, 60 * 60)], + "FLAG_CO": [Range("co_ae", 535.0, 800.0)], + "FLAG_NO": [Range("no_ae", 640.0, 900.0)], + "FLAG_NO2": [Range("no2_ae", 1600.0, 1700.0)], + "FLAG_O3": [Range("o3_ae", 1600.0, 1700.0)], + "FLAG_CO2": [Range("co2_raw", 1000.0, 5000.0)], + "FLAG_OPC": [Range("bin0", 0.0, 1e6)], + "FLAG_RHT": [ + Range("sample_rh", 0.0, 100.0), + Range("sample_temp", -60.0, 85.0), + ], + }, + }, + "rawsd": { # for rawSD flags, criteria are NOT consistent + #"modulair": { + # "FLAG_STARTUP": [Gap(60 * 60, 60 * 60)], # placeholder + #}, + #"modulair-x": { + # "NO_FLAG_STARTUP": [Gap(60 * 60, 60 * 60)], # placeholder + #}, + }, +} + +SUPPORTED_SOURCES = FLAG_CRITERIA.keys() + + +def get_flag_criteria(source, model): + """ + source = 'rawsd' or 'database' + model = 'default', 'modulair', 'modulair-x' + """ + by_model = FLAG_CRITERIA[source] + return by_model[model] From 02606fb80458b36306d17be74bd9cb09e71470fd Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Fri, 26 Jun 2026 10:33:35 -0400 Subject: [PATCH 02/60] Replace single-filter flag command with multi-filter flagging --- quantaq_cli/console/commands/flag.py | 127 ++++++++++++++++++--------- 1 file changed, 85 insertions(+), 42 deletions(-) diff --git a/quantaq_cli/console/commands/flag.py b/quantaq_cli/console/commands/flag.py index 9b5e17f..10ec4fa 100644 --- a/quantaq_cli/console/commands/flag.py +++ b/quantaq_cli/console/commands/flag.py @@ -1,27 +1,95 @@ from pathlib import Path + +import click import pandas as pd import numpy as np -import click +from loguru import logger from terminaltables import SingleTable +from ...variables import FLAGS, get_flag_criteria, SUPPORTED_MODELS, SUPPORTED_SOURCES +from ...variables import Range, Gap +from ...utilities import determine_timestamp_column, safe_load from ...exceptions import InvalidFileExtension, InvalidArgument, InvalidDeviceModel -from ...utilities import safe_load -from ...variables import FLAGS, SUPPORTED_MODELS -import operator -ops = { - 'eq': operator.eq, - 'lt': operator.lt, - 'le': operator.le, - 'gt': operator.gt, - 'ge': operator.ge - } +def add_flag(df, flag_name, criterion, bit): + if isinstance(criterion, Range): + col = df[criterion.column] + mask = (col < criterion.lo) | (col > criterion.hi) + if not mask.sum(): + return df + df.loc[mask, "flag"] |= bit + logger.info( + f"Flagged: {flag_name} (flag {bit}) --> {mask.sum()} rows", + ) + return df + + if isinstance(criterion, Gap): + # Find best timestamp column. + tscol = determine_timestamp_column(df) + + # Force timestamp type + df[tscol] = df[tscol].map(pd.to_datetime) + + # Sort by timestamp + df = df.sort_values(tscol) + + # Create a column to hold the time diff + df["tdiff"] = df[tscol].diff().dt.total_seconds() + + # If we're missing enough data, apply the startup flag. + startup_mask = df["tdiff"] > criterion.gap_in_seconds + starts = df.loc[startup_mask] + postgap_delta = pd.Timedelta(seconds=criterion.post_gap_flag_length_seconds) + + for _, row in starts.iterrows(): + # Flag everything between the startup flag's timestamp up to the gap. + mask = (df[tscol] >= row[tscol]) & ( + df[tscol] <= (row[tscol] + postgap_delta) + ) + df.loc[mask, "flag"] |= bit + logger.info( + f"Flagged: {flag_name} (flag {bit}) --> {mask.sum()} rows", + ) + + # Delete the tdiff col + del df["tdiff"] + + return df + +def flag_dataframe(df, model, source): + """ + df = pandas dataframe to be flagged (or re-flagged) + model = the sensor model (in SUPPORTED_MODELS) + source = the data source (database or rawsd, eventually cloudAPI as well) + """ + df = df.copy() + + # ensure the model is valid + if model not in SUPPORTED_MODELS: + raise InvalidDeviceModel("Invalid device model. Must be one of {}".format(SUPPORTED_MODELS)) + + # ensure the data source is valid + if source not in SUPPORTED_SOURCES: + raise NotImplementedError # add this to exceptions + + # create flag column if it doesn't exist + if "flag" not in df.columns: + df["flag"] = 0 + + # get the bit values for each flag name + values = {flag.name: flag.value for flag in FLAGS[model]} + # set the flag for each flag_name and their respective crtieria + for flag_name, criteria in get_flag_criteria(source, model).items(): + bit = values[flag_name] + for criterion in criteria: + df = add_flag(df, flag_name, criterion, bit) + return df -def flag_command(file, column, comparator, value, output, **kwargs): +def flag_command(file, output, **kwargs): verbose = kwargs.pop("verbose", False) - flag = kwargs.pop("flag", "FLAG_ROW") + source = kwargs.pop("source", "rawsd") model = kwargs.pop("model", "modulair_pm") # make sure the extension is either a csv or feather format @@ -29,42 +97,16 @@ def flag_command(file, column, comparator, value, output, **kwargs): if output.suffix not in (".csv", ".feather"): raise InvalidFileExtension("Invalid file extension") - # ensure the model is valid - if model not in SUPPORTED_MODELS: - raise InvalidDeviceModel("Invalid device model. Must be one of {}".format(SUPPORTED_MODELS)) - save_as_csv = True if output.suffix == ".csv" else False - # concat everything in filepath if verbose: click.secho("File to read: {}".format(file), fg='green') # load the file df = safe_load(file) - # is the in df.columns? - if not column in df.columns: - raise InvalidArgument("Bad column name") - - # is the comparator valid? - if not comparator in ops.keys(): - raise InvalidArgument("Bad comparator") - - # create flag column if it doesn't exist - if "flag" not in df.columns: - df["flag"] = 0 - - # get the flag value - flag_value = 0 - flag_list = FLAGS.get(model) - for label, v, _ in flag_list: - if label == flag: - flag_value = v - break - - # create a mask and set the flag accordingly - mask = ops[comparator](df[column], value) - df.loc[mask, "flag"] = df[mask]["flag"] | flag_value + # flag the dataframe + df = flag_dataframe(df, model, source) # save the file if verbose: @@ -73,4 +115,5 @@ def flag_command(file, column, comparator, value, output, **kwargs): if save_as_csv: df.to_csv(output) else: - df.reset_index().to_feather(output) \ No newline at end of file + df.reset_index().to_feather(output) + \ No newline at end of file From 28197e10008cd0c9039032a170bd90fd66676370 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Fri, 26 Jun 2026 10:34:29 -0400 Subject: [PATCH 03/60] Add util for determining the timestamp col --- quantaq_cli/utilities.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/quantaq_cli/utilities.py b/quantaq_cli/utilities.py index ee49395..1c441d1 100644 --- a/quantaq_cli/utilities.py +++ b/quantaq_cli/utilities.py @@ -30,4 +30,12 @@ def safe_load(fpath, **kwargs): if unnamed: tmp.drop(columns=unnamed, inplace=True) - return tmp \ No newline at end of file + return tmp + +def determine_timestamp_column(sensor_df: pd.DataFrame) -> str: + """Find the best column to use for timestamps.""" + for col in ("timestamp_iso", "timestamp", "timestamp_local"): + if col in sensor_df.columns: + return col + + raise ValueError(f"Couldn't find a timestamp column: {sensor_df.columns}") From 1f8f9ba2ca723d7da52a95329ea1f6f0b8cb2584 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Mon, 29 Jun 2026 10:21:06 -0400 Subject: [PATCH 04/60] Refactor - rename bit to flag_value, fix click commands --- quantaq_cli/console/__init__.py | 26 ++++++++----------- quantaq_cli/console/commands/flag.py | 39 ++++++++++++++-------------- quantaq_cli/variables.py | 19 +++++++++++--- 3 files changed, 46 insertions(+), 38 deletions(-) diff --git a/quantaq_cli/console/__init__.py b/quantaq_cli/console/__init__.py index 3106175..6c26008 100644 --- a/quantaq_cli/console/__init__.py +++ b/quantaq_cli/console/__init__.py @@ -1,6 +1,6 @@ import pkg_resources import rich_click as click -from quantaq_cli.variables import SUPPORTED_MODELS +from quantaq_cli.variables import SUPPORTED_MODELS, SUPPORTED_SOURCES CONTEXT_SETTINGS = dict(help_option_names=['-h', '--help']) @@ -82,25 +82,21 @@ def expunge(file, dry_run, table, output, flag, verbose, model, **kwargs): @click.command("flag", short_help="flag data based on specific criteria") @click.argument("file", nargs=1, type=click.Path()) -@click.argument("column", nargs=1, type=str) -@click.argument("comparator", nargs=1, type=str) -@click.argument("value", nargs=1, type=float) -@click.option("-f", "--flag", default="FLAG_ROW", help="One of [FLAG_OPC, FLAG_CO, FLAG_NO, FLAG_NO2, FLAG_O3, FLAG_CO2, FLAG_ROW]") +@click.argument("model", type=click.Choice(SUPPORTED_MODELS)) +@click.argument("source", type=click.Choice(SUPPORTED_SOURCES)) @click.option("-o", "--output", default="output.csv", help="The filepath where you would like to save the file", type=str) @click.option("-v", "--verbose", is_flag=True, help="Enable verbose mode (debugging)") -@click.option("-m", "--model", default="modulair_pm", help="The device model type. One of {}".format(SUPPORTED_MODELS)) -def flag(file, column, comparator, value, flag, output, verbose, model, **kwargs): - """Set a FLAG based on user input or statistical method. - - Four arguments are required: - 1. FILE -> the path to the file of interest - 2. COLUMN -> the exact name of the column - 3. COMPARATOR -> one of ['lt', 'gt', 'eq', 'le', 'ge'] - 4. VALUE -> the value by which to filter +def flag(file, output, verbose, model, source, **kwargs): + """Reflag a data file based on data model and data source. + + Three arguments are required: + 1. FILE -> the path to the file of interest + 2. MODEL -> the device model type (one of SUPPORTED_MODELS) + 3. SOURCE -> the data source (one of SUPPORTED_SOURCES) """ from .commands.flag import flag_command - flag_command(file, column, comparator, value, output, flag=flag, verbose=verbose, model=model) + flag_command(file, output, model=model, source=source, verbose=verbose) @click.command("clean") diff --git a/quantaq_cli/console/commands/flag.py b/quantaq_cli/console/commands/flag.py index 10ec4fa..953772b 100644 --- a/quantaq_cli/console/commands/flag.py +++ b/quantaq_cli/console/commands/flag.py @@ -12,19 +12,20 @@ from ...exceptions import InvalidFileExtension, InvalidArgument, InvalidDeviceModel -def add_flag(df, flag_name, criterion, bit): +def add_flag(df, flag_name, flag_value, criterion): if isinstance(criterion, Range): - col = df[criterion.column] - mask = (col < criterion.lo) | (col > criterion.hi) - if not mask.sum(): - return df - df.loc[mask, "flag"] |= bit - logger.info( - f"Flagged: {flag_name} (flag {bit}) --> {mask.sum()} rows", + if criterion.column in df.columns: + col = df[criterion.column] + mask = (col < criterion.lo) | (col > criterion.hi) + if not mask.sum(): + return df + df.loc[mask, "flag"] |= flag_value + logger.info( + f"Flagged: {flag_name} (flag {flag_value}) --> {mask.sum()} rows", ) - return df + return df - if isinstance(criterion, Gap): + elif isinstance(criterion, Gap): # Find best timestamp column. tscol = determine_timestamp_column(df) @@ -47,15 +48,15 @@ def add_flag(df, flag_name, criterion, bit): mask = (df[tscol] >= row[tscol]) & ( df[tscol] <= (row[tscol] + postgap_delta) ) - df.loc[mask, "flag"] |= bit + df.loc[mask, "flag"] |= flag_value logger.info( - f"Flagged: {flag_name} (flag {bit}) --> {mask.sum()} rows", + f"Flagged: {flag_name} (flag {flag_value}) --> {mask.sum()} rows", ) # Delete the tdiff col del df["tdiff"] - return df + return df def flag_dataframe(df, model, source): """ @@ -77,20 +78,18 @@ def flag_dataframe(df, model, source): if "flag" not in df.columns: df["flag"] = 0 - # get the bit values for each flag name - values = {flag.name: flag.value for flag in FLAGS[model]} + # get the flag values for each flag name + flag_values = {flag.name: flag.value for flag in FLAGS[model]} # set the flag for each flag_name and their respective crtieria for flag_name, criteria in get_flag_criteria(source, model).items(): - bit = values[flag_name] + flag_value = flag_values[flag_name] for criterion in criteria: - df = add_flag(df, flag_name, criterion, bit) + df = add_flag(df, flag_name, flag_value, criterion) return df -def flag_command(file, output, **kwargs): +def flag_command(file, output, model, source, **kwargs): verbose = kwargs.pop("verbose", False) - source = kwargs.pop("source", "rawsd") - model = kwargs.pop("model", "modulair_pm") # make sure the extension is either a csv or feather format output = Path(output) diff --git a/quantaq_cli/variables.py b/quantaq_cli/variables.py index 4f1be37..32b714b 100644 --- a/quantaq_cli/variables.py +++ b/quantaq_cli/variables.py @@ -32,6 +32,10 @@ "neph_bin0", "neph_bin1", "neph_bin2", "neph_bin3", "neph_bin4", "neph_bin5", ] + +# Should FLAGS also be a nested dict like FLAG_CRITERIA below +# (with keys = source, nested keys = model)? +# i.e. are flag names and values different for database vs rawSD data? FLAGS = {} FLAGS["v100"] = [ @@ -67,7 +71,7 @@ Flag("FLAG_STARTUP", 1, []), Flag("FLAG_OPC", 2, _OPC_COLUMNS), Flag("FLAG_NEPH", 4, _NEPH_COLUMNS), - Flag("FLAG_RHT", 8, ["sample_rh", "sample_temp"]), + Flag("FLAG_RHTP", 8, ["sample_rh", "sample_temp", "sample_pres"]), Flag("FLAG_CO", 16, ["co_we", "co_ae", "co_diff"]), Flag("FLAG_NO", 32, ["no_we", "no_ae", "no_diff"]), Flag("FLAG_NO2", 64, ["no2_we", "no2_ae", "no2_diff"]), @@ -78,6 +82,9 @@ Flag("FLAG_BAT", 2048, ["bat_voltage", "soc", "vbat"]), ] +# modulair-x DB flags are identical to modulair? +FLAGS["modulair-x"] = FLAGS["modulair"] + SUPPORTED_MODELS = FLAGS.keys() ############################################################################### @@ -87,7 +94,7 @@ FLAG_CRITERIA = { "database": { - "default": { # for DB flags, criteria are consistent across all QuantAQ products + "modulair": { "FLAG_STARTUP": [Gap(60 * 60, 60 * 60)], "FLAG_CO": [Range("co_ae", 535.0, 800.0)], "FLAG_NO": [Range("no_ae", 640.0, 900.0)], @@ -95,9 +102,12 @@ "FLAG_O3": [Range("o3_ae", 1600.0, 1700.0)], "FLAG_CO2": [Range("co2_raw", 1000.0, 5000.0)], "FLAG_OPC": [Range("bin0", 0.0, 1e6)], - "FLAG_RHT": [ + "FLAG_RHTP": [ Range("sample_rh", 0.0, 100.0), Range("sample_temp", -60.0, 85.0), + Range("rh", 0.0, 100.0), + Range("temp", -60.0, 85.0), + #Range("sample_pres", lo, hi), # find these values ], }, }, @@ -111,6 +121,9 @@ }, } +# modulair-x DB flag criteria are identical to modulair? +FLAG_CRITERIA["database"]["modulair-x"] = FLAG_CRITERIA["database"]["modulair"] + SUPPORTED_SOURCES = FLAG_CRITERIA.keys() From 79e26bf635ff68fe906ac41e6b88f507fcb17e28 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Mon, 29 Jun 2026 10:46:45 -0400 Subject: [PATCH 05/60] Update tests --- quantaq_cli/console/commands/flag.py | 1 - tests/test_flag.py | 39 ++++++++++++---------------- 2 files changed, 17 insertions(+), 23 deletions(-) diff --git a/quantaq_cli/console/commands/flag.py b/quantaq_cli/console/commands/flag.py index 953772b..efa5e6a 100644 --- a/quantaq_cli/console/commands/flag.py +++ b/quantaq_cli/console/commands/flag.py @@ -23,7 +23,6 @@ def add_flag(df, flag_name, flag_value, criterion): logger.info( f"Flagged: {flag_name} (flag {flag_value}) --> {mask.sum()} rows", ) - return df elif isinstance(criterion, Gap): # Find best timestamp column. diff --git a/tests/test_flag.py b/tests/test_flag.py index 6a48d2c..ead75d6 100644 --- a/tests/test_flag.py +++ b/tests/test_flag.py @@ -24,10 +24,9 @@ def test_flag_files_arisense_db(self): os.path.join(self.test_dir, "output.csv"), "-v", os.path.join(self.test_files_dir, "arisense/SN000-063-db-file1.csv"), - "co_we", - "lt", - "205.0" - ] + "v100", # or v200? + "database" + ], catch_exceptions=False ) # did it succeed? @@ -51,10 +50,9 @@ def test_flag_files_feather(self): os.path.join(self.test_dir, "output.feather"), "-v", os.path.join(self.test_files_dir, "arisense/SN000-063-db-file1.csv"), - "co_we", - "gt", - "505.0" - ] + "v100", # or v200? + "database" + ], catch_exceptions=False ) # did it succeed? @@ -78,10 +76,9 @@ def test_flag_files_modulair_db(self): os.path.join(self.test_dir, "output.csv"), "-v", os.path.join(self.test_files_dir, "modulair/MOD-00014-db-raw.csv"), - "co_we", - "lt", - "205.0" - ] + "modulair", + "database" + ], catch_exceptions=False ) # did it succeed? @@ -105,10 +102,9 @@ def test_flag_files_modulairx_rawsd(self): os.path.join(self.test_dir, "output.csv"), "-v", os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file1.csv"), - "co_we", - "lt", - "205.0" - ] + "modulair-x", + "rawsd" + ], catch_exceptions=False ) # did it succeed? @@ -125,17 +121,16 @@ def test_flag_files_modulairx_rawsd(self): self.assertEqual(p.suffix, ".csv") def test_flag_files_modulairx_cloudapi(self): - runner = CliRunner() - result = runner.invoke(flag, + runner = CliRunner() + result = runner.invoke(flag, [ "-o", os.path.join(self.test_dir, "output.csv"), "-v", os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file1.csv"), - "co_we", - "lt", - "205.0" - ] + "modulair-x", + "cloudapi" + ], catch_exceptions=False ) # did it succeed? From 003d5ad7bd473be8c3dfc265103db25b620c1468 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Mon, 29 Jun 2026 10:55:34 -0400 Subject: [PATCH 06/60] Fix indentation --- tests/test_flag.py | 6 +++--- tests/test_merge.py | 2 -- 2 files changed, 3 insertions(+), 5 deletions(-) diff --git a/tests/test_flag.py b/tests/test_flag.py index ead75d6..5c57d02 100644 --- a/tests/test_flag.py +++ b/tests/test_flag.py @@ -121,9 +121,9 @@ def test_flag_files_modulairx_rawsd(self): self.assertEqual(p.suffix, ".csv") def test_flag_files_modulairx_cloudapi(self): - runner = CliRunner() - result = runner.invoke(flag, - [ + runner = CliRunner() + result = runner.invoke(flag, + [ "-o", os.path.join(self.test_dir, "output.csv"), "-v", diff --git a/tests/test_merge.py b/tests/test_merge.py index 2e8d1c3..d208a9d 100644 --- a/tests/test_merge.py +++ b/tests/test_merge.py @@ -147,7 +147,6 @@ def test_merge_files_modulairx_rawsd(self): df2 = safe_load(os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file2.csv")) df3 = safe_load(os.path.join(self.test_dir, "output.csv")) - print(df1.shape[1], df2.shape[1], df3.shape[1], flush=True) self.assertEqual(df1.shape[1] + df2.shape[1] - 1, df3.shape[1]) def test_merge_files_modulairx_cloudapi(self): @@ -181,6 +180,5 @@ def test_merge_files_modulairx_cloudapi(self): df2 = safe_load(os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file2.csv")) df3 = safe_load(os.path.join(self.test_dir, "output.csv")) - print(df1.shape[1], df2.shape[1], df3.shape[1], flush=True) self.assertEqual(df1.shape[1] + df2.shape[1] - 1, df3.shape[1]) \ No newline at end of file From d4b2c97b9a306c8e981289984fbac022824adb6d Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Tue, 30 Jun 2026 09:50:11 -0400 Subject: [PATCH 07/60] Remove relative imports --- quantaq_cli/console/commands/flag.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/quantaq_cli/console/commands/flag.py b/quantaq_cli/console/commands/flag.py index efa5e6a..a74751c 100644 --- a/quantaq_cli/console/commands/flag.py +++ b/quantaq_cli/console/commands/flag.py @@ -6,10 +6,10 @@ from loguru import logger from terminaltables import SingleTable -from ...variables import FLAGS, get_flag_criteria, SUPPORTED_MODELS, SUPPORTED_SOURCES -from ...variables import Range, Gap -from ...utilities import determine_timestamp_column, safe_load -from ...exceptions import InvalidFileExtension, InvalidArgument, InvalidDeviceModel +from quantaq_cli.variables import FLAGS, get_flag_criteria, SUPPORTED_MODELS, SUPPORTED_SOURCES +from quantaq_cli.variables import Range, Gap +from quantaq_cli.utilities import determine_timestamp_column, safe_load +from quantaq_cli.exceptions import InvalidFileExtension, InvalidArgument, InvalidDeviceModel def add_flag(df, flag_name, flag_value, criterion): From 22b756031654a42f9d30482996dfe8ba38d825cd Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Tue, 30 Jun 2026 09:56:16 -0400 Subject: [PATCH 08/60] Remove arisense flagging functionality --- quantaq_cli/variables.py | 21 ---------------- tests/test_flag.py | 52 ---------------------------------------- 2 files changed, 73 deletions(-) diff --git a/quantaq_cli/variables.py b/quantaq_cli/variables.py index 32b714b..adfc75f 100644 --- a/quantaq_cli/variables.py +++ b/quantaq_cli/variables.py @@ -38,27 +38,6 @@ # i.e. are flag names and values different for database vs rawSD data? FLAGS = {} -FLAGS["v100"] = [ - Flag("FLAG_STARTUP", 1, []), - Flag("FLAG_OPC", 2, _OPC_COLUMNS_V1), - Flag("FLAG_TOTAL_COUNTS", 4, [ - "voc_raw", "pressure", "temp_manifold", "rh_manifold", "temp_box", - "dew_point", "noise", "solar", "wind_dir", "wind_speed", - "sample_time", "opc_flow", "manifold_temp", "manifold_rh", - ]), - Flag("FLAG_CO", 8, ["co_we", "co_ae"]), - Flag("FLAG_NO", 16, ["no_we", "no_ae"]), - Flag("FLAG_NO2", 32, ["no2_we", "no2_ae"]), - Flag("FLAG_O3", 64, ["o3_we", "o3_ae"]), - Flag("FLAG_OPC_RECORD_NUM", 128, _OPC_COLUMNS_V1), - Flag("FLAG_CO2", 256, ["co2_raw"]), - # Flag("FLAG_PP", 512, [...]), - Flag("FLAG_ROW", 1024, None), -] - -# v200 flags are identical to the v100 flags. -FLAGS["v200"] = FLAGS["v100"] - FLAGS["modulair_pm"] = [ Flag("FLAG_STARTUP", 1, []), Flag("FLAG_OPC", 2, _OPC_COLUMNS), diff --git a/tests/test_flag.py b/tests/test_flag.py index 5c57d02..9d97d71 100644 --- a/tests/test_flag.py +++ b/tests/test_flag.py @@ -16,58 +16,6 @@ def setUp(self): def tearDown(self): shutil.rmtree(self.test_dir) - def test_flag_files_arisense_db(self): - runner = CliRunner() - result = runner.invoke(flag, - [ - "-o", - os.path.join(self.test_dir, "output.csv"), - "-v", - os.path.join(self.test_files_dir, "arisense/SN000-063-db-file1.csv"), - "v100", # or v200? - "database" - ], catch_exceptions=False - ) - - # did it succeed? - self.assertEqual(result.exit_code, 0) - - # did it output the correct text? - self.assertTrue("File to read" in result.output) - - # make sure the file exists - p = Path(self.test_dir + "/output.csv") - self.assertTrue(p.exists()) - - # is it a csv? - self.assertEqual(p.suffix, ".csv") - - def test_flag_files_feather(self): - runner = CliRunner() - result = runner.invoke(flag, - [ - "-o", - os.path.join(self.test_dir, "output.feather"), - "-v", - os.path.join(self.test_files_dir, "arisense/SN000-063-db-file1.csv"), - "v100", # or v200? - "database" - ], catch_exceptions=False - ) - - # did it succeed? - self.assertEqual(result.exit_code, 0) - - # did it output the correct text? - self.assertTrue("File to read" in result.output) - - # make sure the file exists - p = Path(self.test_dir + "/output.feather") - self.assertTrue(p.exists()) - - # is it a csv? - self.assertEqual(p.suffix, ".feather") - def test_flag_files_modulair_db(self): runner = CliRunner() result = runner.invoke(flag, From 61f6d34c57732a2560bcfb4e70c05940e049d0ba Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Tue, 30 Jun 2026 10:22:16 -0400 Subject: [PATCH 09/60] Modify safe_loader() to add device serial number to rawSD columns --- quantaq_cli/utilities.py | 17 ++++++++++++++++- 1 file changed, 16 insertions(+), 1 deletion(-) diff --git a/quantaq_cli/utilities.py b/quantaq_cli/utilities.py index 1c441d1..914a0ff 100644 --- a/quantaq_cli/utilities.py +++ b/quantaq_cli/utilities.py @@ -1,11 +1,16 @@ -import pandas as pd from pathlib import Path +from loguru import logger +import pandas as pd + from quantaq_cli.exceptions import InvalidFileExtension def safe_load(fpath, **kwargs): """Load and return a file + + TO DO: replace feather functionality with parquet (will do as part of sc-20240) + also note that pd.read_feather doesn't take a skiprows option """ p = Path(fpath) @@ -19,7 +24,17 @@ def safe_load(fpath, **kwargs): tmp = pd.read_csv(fpath, nrows=1, header=None) if as_csv else pd.read_feather(fpath) if tmp.iloc[0, 0] == "deviceModel": # hack to deal with modulair format + logger.info("Reading rawSD card data {}", fpath) + + # Grab the serial number from the header + tmp2 = pd.read_csv(fpath, nrows=3, header=None) + serial_number = tmp2.iloc[2, 1] + + # Add the sn as a column tmp = pd.read_csv(fpath, skiprows=3) if as_csv else pd.read_feather(fpath, skiprows=3) + tmp['sn'] = serial_number + logger.info("Added serial number {} to column `sn` ", serial_number) + elif tmp.shape[1] == 2: # hack to deal with bad header format tmp = pd.read_csv(fpath, skiprows=1) if as_csv else pd.read_feather(fpath, skiprows=1) else: From f0b40aa7126331646478e07ee14756ecc881eeb5 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Tue, 30 Jun 2026 10:55:32 -0400 Subject: [PATCH 10/60] Add func to infer data model from the sn column --- quantaq_cli/utilities.py | 21 +++++++++++++++++++++ tests/test_utilities.py | 37 +++++++++++++++++++++++++++++++++++++ 2 files changed, 58 insertions(+) create mode 100644 tests/test_utilities.py diff --git a/quantaq_cli/utilities.py b/quantaq_cli/utilities.py index 914a0ff..fbdeb19 100644 --- a/quantaq_cli/utilities.py +++ b/quantaq_cli/utilities.py @@ -6,6 +6,27 @@ from quantaq_cli.exceptions import InvalidFileExtension +def infer_data_model(df): + sn_array = df['sn'].unique() + if len(sn_array) > 1: + logger.debug(f"Found {len(sn_array)} unique serial numbers: {sn_array}") + raise ValueError( + f"More than one unique serial number found in dataframe: {sn_array}" + ) + device_sn = sn_array.item() + device_model = sn_to_model(device_sn) + return device_model + +def sn_to_model(device_sn): + """Map a device serial number to its model string. + MOD-00246 -> modulair + MOD-PM-00933 -> modulair-pm + MOD-X-00993 -> modulair-x + MOD-X-PM-01685 -> modulair-x-pm + """ + prefix, _, _ = device_sn.rpartition("-") + return prefix.lower().replace("mod", "modulair", 1) + def safe_load(fpath, **kwargs): """Load and return a file diff --git a/tests/test_utilities.py b/tests/test_utilities.py new file mode 100644 index 0000000..60ce0ec --- /dev/null +++ b/tests/test_utilities.py @@ -0,0 +1,37 @@ +import os +import shutil +import tempfile +import unittest + +import numpy as np + +from quantaq_cli.utilities import sn_to_model, safe_load, infer_data_model + +class SetupTestCase(unittest.TestCase): + def setUp(self): + self.test_dir = tempfile.mkdtemp() + self.test_files_dir = os.path.join(os.getcwd(), "tests/files") + + def tearDown(self): + shutil.rmtree(self.test_dir) + + def test_sn_to_model(self): + cases = [ + ("MOD-00246", "modulair"), + ("MOD-PM-00933", "modulair-pm"), + ("MOD-X-00993", "modulair-x"), + ("MOD-X-PM-01685", "modulair-x-pm"), + ] + for serial, expected in cases: + with self.subTest(serial=serial): + self.assertEqual(sn_to_model(serial), expected) + + def test_infer_data_model(self): + file = os.path.join( + self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file1.csv" + ) + expected = "modulair-x" + df = safe_load(file) + result = infer_data_model(df) + + self.assertEqual(result, expected) From 5ad1d1febc4da8d64c04e5153e22fcfd0b647408 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Tue, 30 Jun 2026 11:15:57 -0400 Subject: [PATCH 11/60] Add func to infer data source from the dataframe sampling frequency (tdiff) --- quantaq_cli/utilities.py | 29 +++++++++++++++++++++++++++++ tests/test_utilities.py | 28 ++++++++++++++++++++++++---- 2 files changed, 53 insertions(+), 4 deletions(-) diff --git a/quantaq_cli/utilities.py b/quantaq_cli/utilities.py index fbdeb19..b8a2494 100644 --- a/quantaq_cli/utilities.py +++ b/quantaq_cli/utilities.py @@ -6,6 +6,35 @@ from quantaq_cli.exceptions import InvalidFileExtension +def infer_data_source(df): + # Determine the best timestamp column and sort + tscol = determine_timestamp_column(df) + df[tscol] = pd.to_datetime(df[tscol]) + df = df.sort_values(tscol) + + # Grab the tdiff between consecutive rows + df["tdiff"] = df[tscol].diff().dt.total_seconds() + tdiffs = set(df["tdiff"].dropna().unique()) + + has_1min = 60.0 in tdiffs + has_5sec = 5.0 in tdiffs + + if has_1min and has_5sec: + logger.debug("Mixed 1-min and 5-sec sampling not supported") + raise NotImplementedError + elif has_1min: + logger.info("Reading 1-min data --> inferring database or cloud API") + if "api_received_at" in df.columns: + return "cloudapi" + else: + return "database" + elif has_5sec: + logger.info("Reading 5-sec data --> inferring rawSD") + return "rawsd" + else: + logger.debug(f"Unrecognized sampling intervals: {sorted(tdiffs)}") + raise NotImplementedError + def infer_data_model(df): sn_array = df['sn'].unique() if len(sn_array) > 1: diff --git a/tests/test_utilities.py b/tests/test_utilities.py index 60ce0ec..f6bcaa5 100644 --- a/tests/test_utilities.py +++ b/tests/test_utilities.py @@ -5,7 +5,8 @@ import numpy as np -from quantaq_cli.utilities import sn_to_model, safe_load, infer_data_model +from quantaq_cli.utilities import safe_load +from quantaq_cli.utilities import sn_to_model, infer_data_model, infer_data_source class SetupTestCase(unittest.TestCase): def setUp(self): @@ -22,9 +23,9 @@ def test_sn_to_model(self): ("MOD-X-00993", "modulair-x"), ("MOD-X-PM-01685", "modulair-x-pm"), ] - for serial, expected in cases: - with self.subTest(serial=serial): - self.assertEqual(sn_to_model(serial), expected) + for sn, expected in cases: + with self.subTest(sn=sn): + self.assertEqual(sn_to_model(sn), expected) def test_infer_data_model(self): file = os.path.join( @@ -35,3 +36,22 @@ def test_infer_data_model(self): result = infer_data_model(df) self.assertEqual(result, expected) + + def test_infer_data_source(self): + df1 = safe_load(os.path.join( + self.test_files_dir, "modulair-pm/MOD-PM-00001-rawsd-file1.csv")) + df2 = safe_load(os.path.join( + self.test_files_dir, "modulair/MOD-00014-db-raw.csv")) + df3 = safe_load(os.path.join( + self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file1.csv")) + + cases = [ + (df1, "rawsd"), + (df2, "database"), + (df3, "cloudapi"), + ] + + for df, expected in cases: + with self.subTest(expected=expected): + self.assertEqual(infer_data_source(df), expected) + From 045e34bdc39fb3a0840ca33b4f5ceeb7aee94917 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Tue, 30 Jun 2026 11:19:41 -0400 Subject: [PATCH 12/60] Infer data model and source in flag_dataframe() instead of taking args --- quantaq_cli/console/commands/flag.py | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/quantaq_cli/console/commands/flag.py b/quantaq_cli/console/commands/flag.py index a74751c..4a5592f 100644 --- a/quantaq_cli/console/commands/flag.py +++ b/quantaq_cli/console/commands/flag.py @@ -9,6 +9,7 @@ from quantaq_cli.variables import FLAGS, get_flag_criteria, SUPPORTED_MODELS, SUPPORTED_SOURCES from quantaq_cli.variables import Range, Gap from quantaq_cli.utilities import determine_timestamp_column, safe_load +from quantaq_cli.utilities import infer_data_source, infer_data_model from quantaq_cli.exceptions import InvalidFileExtension, InvalidArgument, InvalidDeviceModel @@ -57,7 +58,7 @@ def add_flag(df, flag_name, flag_value, criterion): return df -def flag_dataframe(df, model, source): +def flag_dataframe(df): """ df = pandas dataframe to be flagged (or re-flagged) model = the sensor model (in SUPPORTED_MODELS) @@ -65,6 +66,9 @@ def flag_dataframe(df, model, source): """ df = df.copy() + model = infer_data_model(df) + source = infer_data_source(df) + # ensure the model is valid if model not in SUPPORTED_MODELS: raise InvalidDeviceModel("Invalid device model. Must be one of {}".format(SUPPORTED_MODELS)) @@ -87,7 +91,7 @@ def flag_dataframe(df, model, source): df = add_flag(df, flag_name, flag_value, criterion) return df -def flag_command(file, output, model, source, **kwargs): +def flag_command(file, output, **kwargs): verbose = kwargs.pop("verbose", False) # make sure the extension is either a csv or feather format @@ -104,7 +108,7 @@ def flag_command(file, output, model, source, **kwargs): df = safe_load(file) # flag the dataframe - df = flag_dataframe(df, model, source) + df = flag_dataframe(df) # save the file if verbose: From d04686a7868a0849daa0dbbfc52e4cd55e3b5aa0 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Tue, 30 Jun 2026 13:48:08 -0400 Subject: [PATCH 13/60] Define identical FLAG_DEFINITIONS for QuantAQ products and modifiable FLAG_CRITERIA --- quantaq_cli/variables.py | 168 ++++++++++++++++++++++----------------- 1 file changed, 97 insertions(+), 71 deletions(-) diff --git a/quantaq_cli/variables.py b/quantaq_cli/variables.py index adfc75f..d0ac23f 100644 --- a/quantaq_cli/variables.py +++ b/quantaq_cli/variables.py @@ -1,115 +1,141 @@ -############################################################################### - -"""variables.py - -Per-model data-quality flags. - -Each flag has a name, an integer bitmask value, and the set of columns to set -to NaN when the flag is raised: - - * a list of column names -> NaN just those columns - * an empty list -> flag carries no column-level action - * None -> NaN the entire row -""" from collections import namedtuple -Flag = namedtuple("Flag", ["name", "value", "nan_columns"]) +from loguru import logger -# Shared column groups, factored out so the per-model tables stay readable and -# the lists can't silently drift out of sync. -_OPC_COLUMNS_V1 = ["bin0", "bin1", "bin2", "bin3", "bin4", "bin5", "opc_flow"] +Flag = namedtuple("Flag", ["name", "value", "nan_columns"]) +# Columns to Nan across all schema types (db, rawsd, cloudapi) _OPC_COLUMNS = [ "bin0", "bin1", "bin2", "bin3", "bin4", "bin5", "bin6", "bin7", "bin8", "bin9", - "bin10", "bin11", "bin12", "bin13", "bin14", "bin15", "bin16", "bin17", "bin18", "bin19", - "bin20", "bin21", "bin22", "bin23", "bin1MToF", "bin3MToF", "bin5MToF", "bin7MToF", - "sample_period", "sample_flow", "opc_temp", "opc_rh", "opc_pm1", "opc_pm25", "opc_pm10", - "laser_status", + "bin10", "bin11", "bin12", "bin13", "bin14", "bin15", "bin16", "bin17", "bin18", + "bin19", "bin20", "bin21", "bin22", "bin23", + "opc.bin0", "opc.bin1", "opc.bin2", "opc.bin3", "opc.bin4", "opc.bin5", + "opc.bin6", "opc.bin7", "opc.bin8", "opc.bin9", "opc.bin10", "opc.bin11", + "opc.bin12", "opc.bin13", "opc.bin14", "opc.bin15", "opc.bin16", "opc.bin17", + "opc.bin18", "opc.bin19", "opc.bin20", "opc.bin21", "opc.bin22", "opc.bin23", + "bin1MToF", "bin3MToF", "bin5MToF", "bin7MToF", + "sample_period", "opc_sample_period", + "sample_flow", "opc_sample_flow", + "opc_pm1", "opc_pm25", "opc_pm10", + "opcn3_pm1", "opcn3_pm25", "opcn3_pm10", + "laser_status", "opc_laser_status", + "opc_temp", "opc_rh", ] _NEPH_COLUMNS = [ - "pm1_std", "pm25_std", "pm10_std", "pm1_env", "pm25_env", "pm10_env", + "pm1_std", "pm25_std", "pm10_std", + "pm1_env", "pm25_env", "pm10_env", + "neph_pm1_std", "neph_pm25_std", "neph_pm10_std", + "neph_pm1_env", "neph_pm25_env", "neph_pm10_env" "neph_bin0", "neph_bin1", "neph_bin2", "neph_bin3", "neph_bin4", "neph_bin5", ] +_RHTP_COLUMNS = [ + "sample_rh", "sample_temp", "sample_pres", "rh", "temp" +] -# Should FLAGS also be a nested dict like FLAG_CRITERIA below -# (with keys = source, nested keys = model)? -# i.e. are flag names and values different for database vs rawSD data? -FLAGS = {} +_CO_COLUMNS = [ + "co", + "co_we", "co_ae", "co_diff", + "gases.co.we", "gases.co.ae", "gases.co.diff" +] -FLAGS["modulair_pm"] = [ - Flag("FLAG_STARTUP", 1, []), - Flag("FLAG_OPC", 2, _OPC_COLUMNS), - Flag("FLAG_NEPH", 4, _NEPH_COLUMNS), - Flag("FLAG_RHTP", 8, ["sample_rh", "sample_temp", "sample_pres"]), - Flag("FLAG_ROW", 1024, None), +_NO_COLUMNS = [ + "no", + "no_we", "no_ae", "no_diff", + "gases.no.we", "gases.no.ae", "gases.no.diff" +] + +_NO2_COLUMNS = [ + "no2", + "no2_we", "no2_ae", "no2_diff", + "gases.no2.we", "gases.no2.ae", "gases.no2.diff" +] + +_O3_COLUMNS = [ + "o3", + "ox_we", "ox_ae", "ox_diff", + "o3_we", "o3_ae", "o3_diff", + "gases.o3.we", "gases.o3.ae", "gases.o3.diff" ] -FLAGS["modulair"] = [ +# Flag Name, Flag Bitmask Value, Columns to Nan +FLAG_DEFINITIONS = [ Flag("FLAG_STARTUP", 1, []), Flag("FLAG_OPC", 2, _OPC_COLUMNS), Flag("FLAG_NEPH", 4, _NEPH_COLUMNS), - Flag("FLAG_RHTP", 8, ["sample_rh", "sample_temp", "sample_pres"]), - Flag("FLAG_CO", 16, ["co_we", "co_ae", "co_diff"]), - Flag("FLAG_NO", 32, ["no_we", "no_ae", "no_diff"]), - Flag("FLAG_NO2", 64, ["no2_we", "no2_ae", "no2_diff"]), - Flag("FLAG_O3", 128, ["ox_we", "ox_ae", "ox_diff", "o3_diff"]), - Flag("FLAG_CO2", 256, ["co2_raw"]), - Flag("FLAG_SO2", 512, ["so2_we", "so2_ae", "so2_diff"]), - Flag("FLAG_H2S", 1024, ["h2s_we", "h2s_ae", "h2s_diff"]), + Flag("FLAG_RHTP", 8, _RHTP_COLUMNS), + Flag("FLAG_CO", 16, _CO_COLUMNS), + Flag("FLAG_NO", 32, _NO_COLUMNS), + Flag("FLAG_NO2", 64, _NO2_COLUMNS), + Flag("FLAG_O3", 128, _O3_COLUMNS), + Flag("FLAG_CO2", 256, ["co2_raw", "co2"]), + Flag("FLAG_SO2", 512, ["so2_we", "so2_ae", "so2_diff", "so2"]), + Flag("FLAG_H2S", 1024, ["h2s_we", "h2s_ae", "h2s_diff", "h2s"]), Flag("FLAG_BAT", 2048, ["bat_voltage", "soc", "vbat"]), ] -# modulair-x DB flags are identical to modulair? -FLAGS["modulair-x"] = FLAGS["modulair"] - -SUPPORTED_MODELS = FLAGS.keys() - -############################################################################### +SUPPORTED_MODELS = ("modulair", "modulair-x", "modulair-pm", "modulair-x-pm") +# Types of flag criteria Range = namedtuple("Range", ["column", "lo", "hi"]) Gap = namedtuple("Gap", ["gap_in_seconds", "post_gap_flag_length_seconds"]) FLAG_CRITERIA = { "database": { - "modulair": { - "FLAG_STARTUP": [Gap(60 * 60, 60 * 60)], - "FLAG_CO": [Range("co_ae", 535.0, 800.0)], - "FLAG_NO": [Range("no_ae", 640.0, 900.0)], - "FLAG_NO2": [Range("no2_ae", 1600.0, 1700.0)], - "FLAG_O3": [Range("o3_ae", 1600.0, 1700.0)], - "FLAG_CO2": [Range("co2_raw", 1000.0, 5000.0)], - "FLAG_OPC": [Range("bin0", 0.0, 1e6)], + "default": { + "FLAG_STARTUP": [ + Gap(60 * 60, 60 * 60)], + "FLAG_CO": [ + Range("co_ae", 535.0, 800.0), + Range("gases.co.ae", 535.0, 800.0) + ], + "FLAG_NO": [ + Range("no_ae", 640.0, 900.0), + Range("gases.no.ae", 640.0, 900.0) + ], + "FLAG_NO2": [ + Range("no2_ae", 1600.0, 1700.0), + Range("gases.no2.ae", 1600.0, 1700.0) + ], + "FLAG_O3": [ + Range("o3_ae", 1600.0, 1700.0), + Range("gases.o3.ae", 1600.0, 1700.0), + ], + "FLAG_CO2": [ + Range("co2_raw", 1000.0, 5000.0)], + "FLAG_OPC": [ + Range("bin0", 0.0, 1e6), + Range("opc.bin0", 0.0, 1e6) + ], + #"FLAG_NEPH": [], "FLAG_RHTP": [ Range("sample_rh", 0.0, 100.0), Range("sample_temp", -60.0, 85.0), Range("rh", 0.0, 100.0), Range("temp", -60.0, 85.0), - #Range("sample_pres", lo, hi), # find these values - ], + ]}, }, - }, - "rawsd": { # for rawSD flags, criteria are NOT consistent - #"modulair": { - # "FLAG_STARTUP": [Gap(60 * 60, 60 * 60)], # placeholder - #}, - #"modulair-x": { - # "NO_FLAG_STARTUP": [Gap(60 * 60, 60 * 60)], # placeholder - #}, - }, -} - -# modulair-x DB flag criteria are identical to modulair? -FLAG_CRITERIA["database"]["modulair-x"] = FLAG_CRITERIA["database"]["modulair"] + "rawsd": {} # different logic applies + } -SUPPORTED_SOURCES = FLAG_CRITERIA.keys() +# Assume all quant-aq products share the same database flagging criteria. +for _model in SUPPORTED_MODELS: + FLAG_CRITERIA["database"][_model] = FLAG_CRITERIA["database"]["default"] +# Assume cloudapi uses the same flag criteria as database +# (besides name of column to be flagged) +FLAG_CRITERIA["cloudapi"] = FLAG_CRITERIA["database"] + +SUPPORTED_SOURCES = FLAG_CRITERIA.keys() def get_flag_criteria(source, model): """ source = 'rawsd' or 'database' model = 'default', 'modulair', 'modulair-x' """ + if source == 'rawsd': + logger.debug("{!r} flag criteria are not yet defined", source) + raise NotImplementedError by_model = FLAG_CRITERIA[source] return by_model[model] From e19c02871f96c5918f1234e0e3b14da3cc51860a Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Tue, 30 Jun 2026 13:49:13 -0400 Subject: [PATCH 14/60] Convert model-specific FLAG_DEFINITIONS into one generic list --- quantaq_cli/console/commands/flag.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/quantaq_cli/console/commands/flag.py b/quantaq_cli/console/commands/flag.py index 4a5592f..19b0781 100644 --- a/quantaq_cli/console/commands/flag.py +++ b/quantaq_cli/console/commands/flag.py @@ -6,7 +6,8 @@ from loguru import logger from terminaltables import SingleTable -from quantaq_cli.variables import FLAGS, get_flag_criteria, SUPPORTED_MODELS, SUPPORTED_SOURCES +from quantaq_cli.variables import FLAG_DEFINITIONS, FLAG_CRITERIA, get_flag_criteria +from quantaq_cli.variables import SUPPORTED_MODELS, SUPPORTED_SOURCES from quantaq_cli.variables import Range, Gap from quantaq_cli.utilities import determine_timestamp_column, safe_load from quantaq_cli.utilities import infer_data_source, infer_data_model @@ -82,11 +83,11 @@ def flag_dataframe(df): df["flag"] = 0 # get the flag values for each flag name - flag_values = {flag.name: flag.value for flag in FLAGS[model]} + FLAG_VALUES = {flag.name: flag.value for flag in FLAG_DEFINITIONS} # set the flag for each flag_name and their respective crtieria for flag_name, criteria in get_flag_criteria(source, model).items(): - flag_value = flag_values[flag_name] + flag_value = FLAG_VALUES[flag_name] for criterion in criteria: df = add_flag(df, flag_name, flag_value, criterion) return df From fe018ebdb0ccdf7fef6cac3a23ae972fa9d118de Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Tue, 30 Jun 2026 13:49:32 -0400 Subject: [PATCH 15/60] Remove tests for rawSD flagging - currently not implemented --- tests/test_flag.py | 40 ++++++++++++++++++++-------------------- 1 file changed, 20 insertions(+), 20 deletions(-) diff --git a/tests/test_flag.py b/tests/test_flag.py index 9d97d71..bf8be45 100644 --- a/tests/test_flag.py +++ b/tests/test_flag.py @@ -42,31 +42,31 @@ def test_flag_files_modulair_db(self): # is it a csv? self.assertEqual(p.suffix, ".csv") - def test_flag_files_modulairx_rawsd(self): - runner = CliRunner() - result = runner.invoke(flag, - [ - "-o", - os.path.join(self.test_dir, "output.csv"), - "-v", - os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file1.csv"), - "modulair-x", - "rawsd" - ], catch_exceptions=False - ) + #def test_flag_files_modulairx_rawsd(self): + # runner = CliRunner() + # result = runner.invoke(flag, + # [ + # "-o", + # os.path.join(self.test_dir, "output.csv"), + # "-v", + # os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file1.csv"), + # "modulair-x", + # "rawsd" + # ], catch_exceptions=False + # ) # did it succeed? - self.assertEqual(result.exit_code, 0) + # self.assertEqual(result.exit_code, 0)# - # did it output the correct text? - self.assertTrue("File to read" in result.output) + # # did it output the correct text? + # self.assertTrue("File to read" in result.output) - # make sure the file exists - p = Path(self.test_dir + "/output.csv") - self.assertTrue(p.exists()) + # # make sure the file exists + # p = Path(self.test_dir + "/output.csv") + # self.assertTrue(p.exists()) - # is it a csv? - self.assertEqual(p.suffix, ".csv") + # # is it a csv? + # self.assertEqual(p.suffix, ".csv") def test_flag_files_modulairx_cloudapi(self): runner = CliRunner() From 30646f7688759d0dc68da7ec45cd9d8523742ee4 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Tue, 30 Jun 2026 13:56:19 -0400 Subject: [PATCH 16/60] Upgrade deps to Click8.x --- poetry.lock | 13 ++++++++----- pyproject.toml | 2 +- 2 files changed, 9 insertions(+), 6 deletions(-) diff --git a/poetry.lock b/poetry.lock index aa7592e..0ed1418 100644 --- a/poetry.lock +++ b/poetry.lock @@ -197,15 +197,18 @@ files = [ [[package]] name = "click" -version = "7.1.2" +version = "8.1.8" description = "Composable command line interface toolkit" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +python-versions = ">=3.7" files = [ - {file = "click-7.1.2-py2.py3-none-any.whl", hash = "sha256:dacca89f4bfadd5de3d7489b7c8a566eee0d3676333fbb50030263894c38c0dc"}, - {file = "click-7.1.2.tar.gz", hash = "sha256:d2b5255c7c6349bc1bd1e59e08cd12acbbd63ce649f2588755783aa94dfb6b1a"}, + {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"}, + {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"}, ] +[package.dependencies] +colorama = {version = "*", markers = "platform_system == \"Windows\""} + [[package]] name = "colorama" version = "0.4.6" @@ -1416,4 +1419,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.0" python-versions = ">=3.9, <3.14" -content-hash = "35f6c41bcd2f19d5c5086be42b9c8dc8f40d414e1678f01755628a92fc4dddd8" +content-hash = "5a23c1ec6d3b12bb209f2ff5a2432d629111fa656681403be8d24f392a35fc3f" diff --git a/pyproject.toml b/pyproject.toml index 7b5b691..1e240f8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,7 +13,7 @@ classifiers = [] [tool.poetry.dependencies] python = ">=3.9, <3.14" pandas = ">=2.1.4,<2.2" -click = "^7.1.2" +click = "^8.1" pyarrow = ">=14.0.2" terminaltables = "^3.1.0" urllib3 = "^1.26.10" From 89a2ce676c6dde1c409b2dc783103cebd94002d2 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Tue, 30 Jun 2026 14:04:21 -0400 Subject: [PATCH 17/60] Port expunge_dataframe() and echo_flag_table() from Isoprene --- quantaq_cli/console/commands/expunge.py | 145 +++++++++++++++--------- 1 file changed, 94 insertions(+), 51 deletions(-) diff --git a/quantaq_cli/console/commands/expunge.py b/quantaq_cli/console/commands/expunge.py index 6b62f7a..ce74f95 100644 --- a/quantaq_cli/console/commands/expunge.py +++ b/quantaq_cli/console/commands/expunge.py @@ -1,19 +1,100 @@ from pathlib import Path -import pandas as pd -import numpy as np + import click -from terminaltables import SingleTable +import numpy as np +import pandas as pd +import rich +from rich.table import Table + +from quantaq_cli.exceptions import InvalidFileExtension, InvalidDeviceModel +from quantaq_cli.utilities import safe_load +from quantaq_cli.variables import FLAG_DEFINITIONS, SUPPORTED_MODELS + + +def expunge_dataframe(df): + + # get the flags (in the future, this will come from the file itself) + list_of_flags = FLAG_DEFINITIONS + + # force the flag column to be an int + df["flag"] = df["flag"].astype(int, errors='ignore') + + # Drop NaNs + df = df.dropna(how='any', subset=["flag"]) + + for label, value, cols in list_of_flags: + mask = df["flag"] & value == value + n_affected = mask.sum() + pct_affected = round((n_affected / df.shape[0]) * 100.0, 2) + + # NaN the necessary columns + if cols is None: + cols = df.columns + elif len(cols) > 0: + cols = [c for c in cols if c in df.columns] + + # set the mask + df.loc[mask, cols] = np.nan + + return df -from ...exceptions import InvalidFileExtension, InvalidDeviceModel -from ...utilities import safe_load -from ...variables import FLAGS, SUPPORTED_MODELS +def flag_summary(df): + """Create a table with a summary of flags. + + Parameters + ---------- + sensor_df + DataFrame with flags to summarize. + + Returns + ------- + A new DataFrame, suitable for human consumption. + + TO DO: move this to flag.py after merging sc-20242 + """ + # force the flag column to be an int + df["flag"] = df["flag"].astype(int, errors='ignore') + + rows = [] + for name, value, cols in FLAG_DEFINITIONS: + mask = df["flag"] & value + num_naffected = mask.astype(bool).sum() + percent_affected = f"{100 * num_naffected / df.shape[0]:.1f}" + rows.append([name, int(value), num_naffected, percent_affected]) + + explained_df = pd.DataFrame( + rows, + columns=["FLAG", "FLAG VALUE", "# OCCURENCES", "% DATA"], + ).set_index("FLAG") + return explained_df + +def echo_flag_table(df): + """Print a table of flag statistics for a DataFrame. + + Parameters + ---------- + sensor_df + DataFrame to describe. + + TO DO: move this to flag.py after merging sc-20242 + """ + explained_df = flag_summary(df) + + table = Table() + for column in ["FLAG", *explained_df.columns]: + table.add_column( + column, + justify="right" if column != "FLAG" else "left", + style="bold", + ) + for row in explained_df.itertuples(): + table.add_row(*map(str, row)) + rich.print(table) def expunge_command(file, output, **kwargs): verbose = kwargs.pop("verbose", False) dry_run = kwargs.pop("dry_run", False) - flagcol = kwargs.pop("flagcol", "flag") - model = kwargs.pop("model", "modulair_pm") table = kwargs.pop("table", False) # make sure the extension is either a csv or feather format @@ -21,10 +102,6 @@ def expunge_command(file, output, **kwargs): if output.suffix not in (".csv", ".feather"): raise InvalidFileExtension("Invalid file extension") - # ensure the model is valid - if model not in SUPPORTED_MODELS: - raise InvalidDeviceModel("Invalid device model. Must be one of {}".format(SUPPORTED_MODELS)) - save_as_csv = True if output.suffix == ".csv" else False # concat everything in filepath @@ -34,49 +111,15 @@ def expunge_command(file, output, **kwargs): # load the file df = safe_load(file) + # expunge if verbose: - click.echo("Expunging data for {}".format(model)) - - # init an array to hold the table data - data = [] - data.append(["FLAG", "FLAG VALUE", "# OCCURENCES", "% DATA"]) - - # get the flags (in the future, this will come from the file itself) - list_of_flags = FLAGS.get(model) - - # force the flag column to be an int - df[flagcol] = df[flagcol].astype(int, errors='ignore') - - # Drop NaNs - df = df.dropna(how='any', subset=[flagcol]) - - for label, value, cols in list_of_flags: - mask = df[flagcol] & value == value - n_affected = mask.sum() - pct_affected = round((n_affected / df.shape[0]) * 100.0, 2) - - # NaN the necessary columns - if cols is None: - cols = df.columns - elif len(cols) > 0: - cols = [c for c in cols if c in df.columns] - - # set the mask - df.loc[mask, cols] = np.nan + click.echo("Expunging data for {}".format(file)) - # add a row to the output table - data.append([label, value, n_affected, pct_affected]) + df = expunge_dataframe(df) if dry_run or verbose: - tbl = SingleTable(data) - tbl.title = "Flag Breakdown".upper() - - if table: - click.echo(tbl.table) - else: - for item in data: - click.echo(item) - + echo_flag_table(df) + # save the file (if not a dry run) if not dry_run: if verbose: From 49c186a29a0827864204cbc6b38b7144339b2f2e Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Tue, 30 Jun 2026 14:53:49 -0400 Subject: [PATCH 18/60] Move flag_summary and echo_flag_table to flag.py and fix all_nan_columns definition --- quantaq_cli/console/commands/expunge.py | 71 ++++--------------------- quantaq_cli/console/commands/flag.py | 55 +++++++++++++++++++ quantaq_cli/variables.py | 2 +- 3 files changed, 66 insertions(+), 62 deletions(-) diff --git a/quantaq_cli/console/commands/expunge.py b/quantaq_cli/console/commands/expunge.py index ce74f95..fa6a243 100644 --- a/quantaq_cli/console/commands/expunge.py +++ b/quantaq_cli/console/commands/expunge.py @@ -3,12 +3,13 @@ import click import numpy as np import pandas as pd -import rich -from rich.table import Table from quantaq_cli.exceptions import InvalidFileExtension, InvalidDeviceModel -from quantaq_cli.utilities import safe_load +from quantaq_cli.utilities import safe_load, determine_timestamp_column from quantaq_cli.variables import FLAG_DEFINITIONS, SUPPORTED_MODELS +from quantaq_cli.console.commands.flag import ( + echo_flag_table +) def expunge_dataframe(df): @@ -24,12 +25,14 @@ def expunge_dataframe(df): for label, value, cols in list_of_flags: mask = df["flag"] & value == value - n_affected = mask.sum() - pct_affected = round((n_affected / df.shape[0]) * 100.0, 2) + if not mask.any(): + continue # NaN the necessary columns - if cols is None: - cols = df.columns + if cols == "all_columns": + tscol = determine_timestamp_column(df) + cols_to_keep = {tscol, "sn", "flag"} + cols = [c for c in df.columns if c not in cols_to_keep] elif len(cols) > 0: cols = [c for c in cols if c in df.columns] @@ -38,60 +41,6 @@ def expunge_dataframe(df): return df -def flag_summary(df): - """Create a table with a summary of flags. - - Parameters - ---------- - sensor_df - DataFrame with flags to summarize. - - Returns - ------- - A new DataFrame, suitable for human consumption. - - TO DO: move this to flag.py after merging sc-20242 - """ - # force the flag column to be an int - df["flag"] = df["flag"].astype(int, errors='ignore') - - rows = [] - for name, value, cols in FLAG_DEFINITIONS: - mask = df["flag"] & value - num_naffected = mask.astype(bool).sum() - percent_affected = f"{100 * num_naffected / df.shape[0]:.1f}" - rows.append([name, int(value), num_naffected, percent_affected]) - - explained_df = pd.DataFrame( - rows, - columns=["FLAG", "FLAG VALUE", "# OCCURENCES", "% DATA"], - ).set_index("FLAG") - return explained_df - -def echo_flag_table(df): - """Print a table of flag statistics for a DataFrame. - - Parameters - ---------- - sensor_df - DataFrame to describe. - - TO DO: move this to flag.py after merging sc-20242 - """ - explained_df = flag_summary(df) - - table = Table() - for column in ["FLAG", *explained_df.columns]: - table.add_column( - column, - justify="right" if column != "FLAG" else "left", - style="bold", - ) - for row in explained_df.itertuples(): - table.add_row(*map(str, row)) - rich.print(table) - - def expunge_command(file, output, **kwargs): verbose = kwargs.pop("verbose", False) dry_run = kwargs.pop("dry_run", False) diff --git a/quantaq_cli/console/commands/flag.py b/quantaq_cli/console/commands/flag.py index 19b0781..bb7ee9f 100644 --- a/quantaq_cli/console/commands/flag.py +++ b/quantaq_cli/console/commands/flag.py @@ -4,6 +4,8 @@ import pandas as pd import numpy as np from loguru import logger +import rich +from rich.table import Table from terminaltables import SingleTable from quantaq_cli.variables import FLAG_DEFINITIONS, FLAG_CRITERIA, get_flag_criteria @@ -59,6 +61,59 @@ def add_flag(df, flag_name, flag_value, criterion): return df +def flag_summary(df): + """Create a table with a summary of flags. + + Parameters + ---------- + sensor_df + DataFrame with flags to summarize. + + Returns + ------- + A new DataFrame, suitable for human consumption. + + TO DO: move this to flag.py after merging sc-20242 + """ + # force the flag column to be an int + df["flag"] = df["flag"].astype(int, errors='ignore') + + rows = [] + for name, value, cols in FLAG_DEFINITIONS: + mask = df["flag"] & value + num_naffected = mask.astype(bool).sum() + percent_affected = f"{100 * num_naffected / df.shape[0]:.1f}" + rows.append([name, int(value), num_naffected, percent_affected]) + + explained_df = pd.DataFrame( + rows, + columns=["FLAG", "FLAG VALUE", "# OCCURENCES", "% DATA"], + ).set_index("FLAG") + return explained_df + +def echo_flag_table(df): + """Print a table of flag statistics for a DataFrame. + + Parameters + ---------- + sensor_df + DataFrame to describe. + + TO DO: move this to flag.py after merging sc-20242 + """ + explained_df = flag_summary(df) + + table = Table() + for column in ["FLAG", *explained_df.columns]: + table.add_column( + column, + justify="right" if column != "FLAG" else "left", + style="bold", + ) + for row in explained_df.itertuples(): + table.add_row(*map(str, row)) + rich.print(table) + def flag_dataframe(df): """ df = pandas dataframe to be flagged (or re-flagged) diff --git a/quantaq_cli/variables.py b/quantaq_cli/variables.py index d0ac23f..34fcae7 100644 --- a/quantaq_cli/variables.py +++ b/quantaq_cli/variables.py @@ -61,7 +61,7 @@ # Flag Name, Flag Bitmask Value, Columns to Nan FLAG_DEFINITIONS = [ - Flag("FLAG_STARTUP", 1, []), + Flag("FLAG_STARTUP", 1, "all_columns"), Flag("FLAG_OPC", 2, _OPC_COLUMNS), Flag("FLAG_NEPH", 4, _NEPH_COLUMNS), Flag("FLAG_RHTP", 8, _RHTP_COLUMNS), From cae63d55d646230430dd3bc331235d1013384dd7 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Tue, 30 Jun 2026 14:55:04 -0400 Subject: [PATCH 19/60] Remove arisense from test_expunge() and add some expunge tests from Isoprene --- tests/test_expunge.py | 298 +++++++++++++++++++++++++++++------------- 1 file changed, 206 insertions(+), 92 deletions(-) diff --git a/tests/test_expunge.py b/tests/test_expunge.py index 7e7f454..487d1a5 100644 --- a/tests/test_expunge.py +++ b/tests/test_expunge.py @@ -5,10 +5,16 @@ import os import shutil, tempfile import pandas as pd +from pandas.testing import assert_frame_equal + import numpy as np from quantaq_cli.console import expunge - +from quantaq_cli.console.commands.expunge import expunge_dataframe +from quantaq_cli.console.commands.flag import ( + flag_dataframe, + flag_summary, +) class SetupTestCase(unittest.TestCase): def setUp(self): @@ -18,93 +24,6 @@ def setUp(self): def tearDown(self): shutil.rmtree(self.test_dir) - def test_expunge_csv_arisense_db(self): - runner = CliRunner() - result = runner.invoke(expunge, - [ - "-o", - os.path.join(self.test_dir, "output.csv"), - "-v", - os.path.join(self.test_files_dir, "arisense/SN000-063-db-file1.csv"), - ] - ) - - # did it succeed? - self.assertEqual(result.exit_code, 0) - - # did it output the correct text? - self.assertTrue("Saving file" in result.output) - - # make sure the file exists - p = Path(self.test_dir + "/output.csv") - self.assertTrue(p.exists()) - - # is it a csv? - self.assertEqual(p.suffix, ".csv") - - def test_expunge_dryrun(self): - runner = CliRunner() - result = runner.invoke(expunge, - [ - "-o", - os.path.join(self.test_dir, "output.feather"), - "--dry-run", - "--table", - os.path.join(self.test_files_dir, "arisense/SN000-063-db-file1.csv"), - ] - ) - - # did it succeed? - self.assertEqual(result.exit_code, 0) - - # did it output the correct text? - self.assertTrue("FLAG BREAKDOWN" in result.output) - - # make sure the file does not exist - p = Path(self.test_dir + "/output.feather") - self.assertFalse(p.exists()) - - def test_expunge_dict(self): - runner = CliRunner() - result = runner.invoke(expunge, - [ - "-o", - os.path.join(self.test_dir, "output.feather"), - "--dry-run", - os.path.join(self.test_files_dir, "arisense/SN000-063-db-file1.csv"), - ] - ) - - # did it succeed? - self.assertEqual(result.exit_code, 0) - - # did it output the correct text? - self.assertFalse("FLAG BREAKDOWN" in result.output) - - def test_expunge_feather_arisense_db(self): - runner = CliRunner() - result = runner.invoke(expunge, - [ - "-o", - os.path.join(self.test_dir, "output.feather"), - os.path.join(self.test_files_dir, "arisense/SN000-063-db-file1.csv"), - ] - ) - - # did it succeed? - self.assertEqual(result.exit_code, 0) - - - # did it output the correct text? - self.assertFalse("FLAG BREAKDOWN" in result.output) - - # make sure the file does not exist - p = Path(self.test_dir + "/output.feather") - self.assertTrue(p.exists()) - - # is it a csv? - self.assertEqual(p.suffix, ".feather") - def test_expunge_csv_modulairpm_rawsd(self): runner = CliRunner() result = runner.invoke(expunge, @@ -113,7 +32,7 @@ def test_expunge_csv_modulairpm_rawsd(self): os.path.join(self.test_dir, "output.csv"), "-v", os.path.join(self.test_files_dir, "modulair-pm/MOD-PM-00001-rawsd-file1.csv"), - ] + ], catch_exceptions=False ) # did it succeed? @@ -137,7 +56,7 @@ def test_expunge_csv_modulair_db(self): os.path.join(self.test_dir, "output.csv"), "-v", os.path.join(self.test_files_dir, "modulair/MOD-00014-db-raw.csv"), - ] + ], catch_exceptions=False ) # did it succeed? @@ -161,7 +80,7 @@ def test_expunge_csv_modulairx_rawsd(self): os.path.join(self.test_dir, "output.csv"), "-v", os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file1.csv"), - ] + ], catch_exceptions=False ) # did it succeed? @@ -185,7 +104,7 @@ def test_expunge_csv_modulairx_cloudapi(self): os.path.join(self.test_dir, "output.csv"), "-v", os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file1.csv"), - ] + ], catch_exceptions=False ) # did it succeed? @@ -200,3 +119,198 @@ def test_expunge_csv_modulairx_cloudapi(self): # is it a csv? self.assertEqual(p.suffix, ".csv") + +def test_expunge_dataframe_noop(): + """Ensure expunge_dataframe doesn't change data that doesn't meet new flags.""" + sample_df = pd.DataFrame( + [ + { + "timestamp": pd.to_datetime("2023-03-10T17:41:24Z"), + "rh": 77.6, + "temp": -10.4, + "pm1_env": 10.6, + "pm25_env": 25.0, + "pm10_env": 32.4, + "neph_bin0": 1590.375, + "co_we": 758.8, + "co_ae": 656.8, + "co_diff": 102.0, + "flag": 0, + "sn" : 'MOD-00001', + }, + ], + ) + + flagged = expunge_dataframe(sample_df) + + assert_frame_equal(flagged, sample_df) + + +def test_expunge_dataframe_irrelevant_flag(): + """Ensure expunge_dataframe doesn't change data with irrelevant flags. + + In this case, the flags don't apply to the current columns. + """ + sample_df = pd.DataFrame( + [ + { + "timestamp": pd.to_datetime("2023-03-10T17:41:24Z"), + "rh": 77.6, + "temp": -10.4, + "pm1_env": 10.6, + "pm25_env": 25.0, + "pm10_env": 32.4, + "neph_bin0": 1590.375, + "co_we": 758.8, + "co_ae": 656.8, + "co_diff": 102.0, + "flag": 128, # FLAG_O3 -- doesn't change any current values + "sn" : 'MOD-00001', + }, + ], + ) + + flagged = expunge_dataframe(sample_df) + + assert_frame_equal(flagged, sample_df) + + +def test_expunge_dataframe_expunges_rht(): + """Ensure expunge_dataframe expunges values correctly for FLAG_RHT.""" + sample_df = pd.DataFrame( + [ + { + "timestamp": pd.to_datetime("2023-03-10T17:41:24Z"), + "rh": 20000, # too high! + "temp": -10.4, + "pm1_env": 10.6, + "pm25_env": 25.0, + "pm10_env": 32.4, + "neph_bin0": 1590.375, + "co_we": 758.8, + "co_ae": 656.8, + "co_diff": 102.0, + "flag": 8, # FLAG_RHT + "sn" : 'MOD-00001', + }, + ], + ) + + flagged = expunge_dataframe(sample_df) + + # Ensure rh and temp are expunged. + expected = sample_df.copy().assign(rh=np.nan, temp=np.nan) + assert_frame_equal(flagged, expected, check_dtype=False) + + +def test_expunge_dataframe_expunges_startup(): + """Ensure expunge_dataframe expunges all columns correctly for FLAG_STARTUP.""" + sample_df = pd.DataFrame( + [ + { + "timestamp": pd.to_datetime("2023-03-10T17:41:24Z"), + "sn": "MOD-12345", + "rh": 20000., # too high! + "temp": -10.4, + "pm1_env": 10.6, + "pm25_env": 25.0, + "pm10_env": 32.4, + "neph_bin0": 1590.375, + "co_we": 758.8, + "co_ae": 656.8, + "co_diff": 102.0, + "flag": 1, # FLAG_STARTUP + }, + ], + ) + + flagged = expunge_dataframe(sample_df) + + # Ensure most columns are expunged but key metadata is unaffected. + expected = pd.DataFrame( + [ + { + "timestamp": pd.to_datetime("2023-03-10T17:41:24Z"), + "sn": "MOD-12345", + "rh": np.nan, + "temp": np.nan, + "pm1_env": np.nan, + "pm25_env": np.nan, + "pm10_env": np.nan, + "neph_bin0": np.nan, + "co_we": np.nan, + "co_ae": np.nan, + "co_diff": np.nan, + "flag": 1, # FLAG_STARTUP + }, + ], + ) + assert_frame_equal(flagged, expected) + + +def test_flag_summary_basic(): + """Simple check to confirm flag_summary correctness.""" + sample_df = pd.DataFrame( + [ + { + "flag": 1 | 4, # FLAG_STARTUP | FLAG_NEPH + }, + { + "flag": 1 | 32 | 64, # FLAG_STARTUP | FLAG_NO | FLAG_NO2, + }, + { + "flag": 0, + }, + ], + ) + summary = flag_summary(sample_df) + + expected = pd.DataFrame( + { + "FLAG VALUE": { + "FLAG_BAT": 2048, + "FLAG_CO": 16, + "FLAG_CO2": 256, + "FLAG_H2S": 1024, + "FLAG_NEPH": 4, + "FLAG_NO": 32, + "FLAG_NO2": 64, + "FLAG_O3": 128, + "FLAG_OPC": 2, + "FLAG_RHTP": 8, + "FLAG_SO2": 512, + "FLAG_STARTUP": 1, + }, + "# OCCURENCES": { + "FLAG_BAT": 0, + "FLAG_CO": 0, + "FLAG_CO2": 0, + "FLAG_H2S": 0, + "FLAG_NEPH": 1, + "FLAG_NO": 1, + "FLAG_NO2": 1, + "FLAG_O3": 0, + "FLAG_OPC": 0, + "FLAG_RHTP": 0, + "FLAG_SO2": 0, + "FLAG_STARTUP": 2, + }, + "% DATA": { + "FLAG_BAT": "0.0", + "FLAG_CO": "0.0", + "FLAG_CO2": "0.0", + "FLAG_H2S": "0.0", + "FLAG_NEPH": "33.3", + "FLAG_NO": "33.3", + "FLAG_NO2": "33.3", + "FLAG_O3": "0.0", + "FLAG_OPC": "0.0", + "FLAG_RHTP": "0.0", + "FLAG_SO2": "0.0", + "FLAG_STARTUP": "66.7", + }, + }, + ) + expected.index.name = "FLAG" + + assert_frame_equal(summary.sort_index(), expected.sort_index()) From 2e678574055a09cc3753c81b5c9ca1aacdba3444 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Tue, 30 Jun 2026 15:05:02 -0400 Subject: [PATCH 20/60] Remove feather tests and fix --wind unpack error in resample CLI --- quantaq_cli/console/__init__.py | 8 +++++- quantaq_cli/console/commands/resample.py | 6 ++--- tests/test_resample.py | 32 ------------------------ 3 files changed, 10 insertions(+), 36 deletions(-) diff --git a/quantaq_cli/console/__init__.py b/quantaq_cli/console/__init__.py index 6c26008..9733774 100644 --- a/quantaq_cli/console/__init__.py +++ b/quantaq_cli/console/__init__.py @@ -52,7 +52,13 @@ def merge(files, tscol, output, verbose, **kwargs): @click.option("-o", "--output", default="output.csv", help="The filepath where you would like to save the file", type=str) @click.option("--on", default="timestamp", help="Name of the datetime column to resample over.", type=str) @click.option("--by", default=None, help="Optional column(s) to group by first") -@click.option("--wind", default=("wx_u", "wx_v", "wx_ws", "wx_wd"), help="``(u, v, speed, direction)`` column names") +@click.option( + "--wind", + nargs=4, + type=str, + default=("wx_u", "wx_v", "wx_ws", "wx_wd"), + help="(u, v, speed, direction) column names", +) @click.option("--numeric_how", default="mean", help="Aggregation for numeric columns.") @click.option("--nonnumeric_how", default="first", help="Aggregation for non-numeric columns.") @click.option("-v", "--verbose", is_flag=True, help="Enable verbose mode (debugging)") diff --git a/quantaq_cli/console/commands/resample.py b/quantaq_cli/console/commands/resample.py index e15c565..228c0fc 100644 --- a/quantaq_cli/console/commands/resample.py +++ b/quantaq_cli/console/commands/resample.py @@ -5,7 +5,7 @@ from loguru import logger import numpy as np import pandas as pd -from pandas.api.types import is_numeric_dtype +from pandas.api.types import is_numeric_dtype, is_datetime64_any_dtype from quantaq_cli.exceptions import InvalidFileExtension from quantaq_cli.utilities import safe_load @@ -89,8 +89,8 @@ def resample_dataframe( Returns: A new frame with ``on`` (and any ``by`` keys) as columns. """ - if type(df[on]) != np.datetime64: - df[on] = df[on].map(pd.to_datetime) + if not is_datetime64_any_dtype(df[on]): + df[on] = pd.to_datetime(df[on]) keys = [by] if isinstance(by, str) else list(by or []) diff --git a/tests/test_resample.py b/tests/test_resample.py index 4c84c00..8010c76 100644 --- a/tests/test_resample.py +++ b/tests/test_resample.py @@ -56,38 +56,6 @@ def test_resample_files_csv(self): self.assertEqual((idx[1] - idx[0]) / np.timedelta64(1, 's'), 600.0) - def test_resample_files_feather(self): - runner = CliRunner() - result = runner.invoke(resample, - [ - "-o", - os.path.join(self.test_dir, "output.feather"), - "-v", - os.path.join(self.test_files_dir, "arisense/ref/ref.csv"), - "10min", - ], catch_exceptions=False - ) - - # did it succeed? - self.assertEqual(result.exit_code, 0) - - # did it output the correct text? - self.assertTrue("Saving file" in result.output) - - # make sure the file exists - p = Path(self.test_dir + "/output.feather") - self.assertTrue(p.exists()) - - # is it a csv? - self.assertEqual(p.suffix, ".feather") - - # are the number of lines correct? - df = pd.read_feather(os.path.join(self.test_dir, "output.feather")) - - idx = df.timestamp.values - - self.assertEqual((idx[1] - idx[0]) / np.timedelta64(1, 's'), 600.0) - def test_resample_modulair_db(self): runner = CliRunner() result = runner.invoke(resample, From eb2c043351ea3cf0cf4cf24848be8610aa2d4f21 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 1 Jul 2026 10:55:14 -0400 Subject: [PATCH 21/60] Remove data model and data source as required args to flag_command --- quantaq_cli/console/__init__.py | 12 ++---------- 1 file changed, 2 insertions(+), 10 deletions(-) diff --git a/quantaq_cli/console/__init__.py b/quantaq_cli/console/__init__.py index 9733774..8612db9 100644 --- a/quantaq_cli/console/__init__.py +++ b/quantaq_cli/console/__init__.py @@ -88,21 +88,13 @@ def expunge(file, dry_run, table, output, flag, verbose, model, **kwargs): @click.command("flag", short_help="flag data based on specific criteria") @click.argument("file", nargs=1, type=click.Path()) -@click.argument("model", type=click.Choice(SUPPORTED_MODELS)) -@click.argument("source", type=click.Choice(SUPPORTED_SOURCES)) @click.option("-o", "--output", default="output.csv", help="The filepath where you would like to save the file", type=str) @click.option("-v", "--verbose", is_flag=True, help="Enable verbose mode (debugging)") def flag(file, output, verbose, model, source, **kwargs): - """Reflag a data file based on data model and data source. - - Three arguments are required: - 1. FILE -> the path to the file of interest - 2. MODEL -> the device model type (one of SUPPORTED_MODELS) - 3. SOURCE -> the data source (one of SUPPORTED_SOURCES) - """ + """Reflag a data file""" from .commands.flag import flag_command - flag_command(file, output, model=model, source=source, verbose=verbose) + flag_command(file, output, verbose=verbose) @click.command("clean") From 04d34eda71a0490aa179178df4c663fe78a6bbd1 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 1 Jul 2026 11:02:04 -0400 Subject: [PATCH 22/60] Remove data model and data source as required args in cli logic and tests --- quantaq_cli/console/__init__.py | 4 +--- tests/test_flag.py | 4 ---- 2 files changed, 1 insertion(+), 7 deletions(-) diff --git a/quantaq_cli/console/__init__.py b/quantaq_cli/console/__init__.py index 8612db9..fa8b9ec 100644 --- a/quantaq_cli/console/__init__.py +++ b/quantaq_cli/console/__init__.py @@ -75,15 +75,13 @@ def resample(file, rule, output, verbose, **kwargs): @click.option("-d", "--dry-run", is_flag=True, help="Print table to screen and bypass file save") @click.option("-t", "--table", is_flag=True, help="Print as a dict instead of as a table") @click.option("-o", "--output", default="output.csv", help="The filepath where you would like to save the file", type=str) -@click.option("-f", "--flag", default="flag", help="The name of the flag column", type=str) @click.option("-v", "--verbose", is_flag=True, help="Enable verbose mode (debugging)") -@click.option("-m", "--model", default="modulair_pm", help="The device model type. One of {}".format(SUPPORTED_MODELS)) def expunge(file, dry_run, table, output, flag, verbose, model, **kwargs): """Expunge (NaN flagged values) FILE and save to OUTPUT. """ from .commands.expunge import expunge_command - expunge_command(file, output, flagcol=flag, dry_run=dry_run, verbose=verbose, model=model, table=table, **kwargs) + expunge_command(file, output, dry_run=dry_run, verbose=verbose, table=table, **kwargs) @click.command("flag", short_help="flag data based on specific criteria") diff --git a/tests/test_flag.py b/tests/test_flag.py index bf8be45..d49f7f1 100644 --- a/tests/test_flag.py +++ b/tests/test_flag.py @@ -24,8 +24,6 @@ def test_flag_files_modulair_db(self): os.path.join(self.test_dir, "output.csv"), "-v", os.path.join(self.test_files_dir, "modulair/MOD-00014-db-raw.csv"), - "modulair", - "database" ], catch_exceptions=False ) @@ -76,8 +74,6 @@ def test_flag_files_modulairx_cloudapi(self): os.path.join(self.test_dir, "output.csv"), "-v", os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file1.csv"), - "modulair-x", - "cloudapi" ], catch_exceptions=False ) From 9e729a7b52f67d583fe319183d3065973ca16eb4 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 1 Jul 2026 11:07:03 -0400 Subject: [PATCH 23/60] Fix cli args again --- quantaq_cli/console/__init__.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/quantaq_cli/console/__init__.py b/quantaq_cli/console/__init__.py index fa8b9ec..8b2fad6 100644 --- a/quantaq_cli/console/__init__.py +++ b/quantaq_cli/console/__init__.py @@ -76,19 +76,19 @@ def resample(file, rule, output, verbose, **kwargs): @click.option("-t", "--table", is_flag=True, help="Print as a dict instead of as a table") @click.option("-o", "--output", default="output.csv", help="The filepath where you would like to save the file", type=str) @click.option("-v", "--verbose", is_flag=True, help="Enable verbose mode (debugging)") -def expunge(file, dry_run, table, output, flag, verbose, model, **kwargs): +def expunge(file, dry_run, table, output, verbose): """Expunge (NaN flagged values) FILE and save to OUTPUT. 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"sha256:9e813624b6eb619999a97dc7958469217c3176312b3a16a4bd1bc7e08a46ec98"}, +] + +[package.extras] +docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx_rtd_theme (>=1.1.0)"] +optional = ["python-socks", "wsaccel"] +test = ["pytest", "websockets"] + +[[package]] +name = "widgetsnbextension" +version = "4.0.15" +description = "Jupyter interactive widgets for Jupyter Notebook" +optional = false +python-versions = ">=3.7" +files = [ + {file = "widgetsnbextension-4.0.15-py3-none-any.whl", hash = "sha256:8156704e4346a571d9ce73b84bee86a29906c9abfd7223b7228a28899ccf3366"}, + {file = "widgetsnbextension-4.0.15.tar.gz", hash = "sha256:de8610639996f1567952d763a5a41af8af37f2575a41f9852a38f947eb82a3b9"}, +] + [[package]] name = "win32-setctime" version = "1.2.0" @@ -1419,4 +3263,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.0" python-versions = ">=3.9, <3.14" -content-hash = "5a23c1ec6d3b12bb209f2ff5a2432d629111fa656681403be8d24f392a35fc3f" +content-hash = "e09ee01b942fad3bd97f7a0b4b739d3e20e5f8fc083c6312c07cc6e417dc097c" diff --git a/pyproject.toml b/pyproject.toml index 1e240f8..4b184e8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,6 +20,7 @@ urllib3 = "^1.26.10" numpy = "^1.23.2" rich-click = ">=1.7.2" loguru = "^0.7.3" +jupyter = "^1.1.1" [tool.poetry.group.dev.dependencies] pytest = "^6.2.5" From 61ccdea2aa43b177cad40fe9409c74109072a8e5 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 1 Jul 2026 09:41:14 -0400 Subject: [PATCH 25/60] Rename quantaq_cli to quantaq_py --- pyproject.toml | 6 +++--- {quantaq_cli => quantaq_py}/__init__.py | 0 {quantaq_cli => quantaq_py}/console/__init__.py | 2 +- .../console/commands/__init__.py | 0 .../console/commands/concat.py | 0 .../console/commands/expunge.py | 8 ++++---- {quantaq_cli => quantaq_py}/console/commands/flag.py | 12 ++++++------ .../console/commands/merge.py | 0 .../console/commands/munge.py | 0 .../console/commands/resample.py | 4 ++-- {quantaq_cli => quantaq_py}/exceptions.py | 0 {quantaq_cli => quantaq_py}/utilities.py | 2 +- {quantaq_cli => quantaq_py}/variables.py | 0 tests/test_clean.py | 2 +- tests/test_concat.py | 2 +- tests/test_expunge.py | 6 +++--- tests/test_flag.py | 2 +- tests/test_merge.py | 4 ++-- tests/test_resample.py | 6 +++--- tests/test_utilities.py | 4 ++-- 20 files changed, 30 insertions(+), 30 deletions(-) rename {quantaq_cli => quantaq_py}/__init__.py (100%) rename {quantaq_cli => quantaq_py}/console/__init__.py (98%) rename {quantaq_cli => quantaq_py}/console/commands/__init__.py (100%) rename {quantaq_cli => quantaq_py}/console/commands/concat.py (100%) rename {quantaq_cli => quantaq_py}/console/commands/expunge.py (88%) rename {quantaq_cli => quantaq_py}/console/commands/flag.py (92%) rename {quantaq_cli => quantaq_py}/console/commands/merge.py (100%) rename {quantaq_cli => quantaq_py}/console/commands/munge.py (100%) rename {quantaq_cli => quantaq_py}/console/commands/resample.py (98%) rename {quantaq_cli => quantaq_py}/exceptions.py (100%) rename {quantaq_cli => quantaq_py}/utilities.py (98%) rename {quantaq_cli => quantaq_py}/variables.py (100%) diff --git a/pyproject.toml b/pyproject.toml index 4b184e8..0a73170 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,7 +1,7 @@ [tool.poetry] -name = "quantaq-cli" +name = "quantaq-py" version = "1.0.0rc0" -description = "The QuantAQ CLI" +description = "The QuantAQ Python Toolkit and CLI" authors = ["David H Hagan "] license = "Apache-2.0" readme = "README.md" @@ -33,7 +33,7 @@ sphinx-rtd-theme = "^2.0" setuptools = "^65.6.3" [tool.poetry.scripts] -quantaq-cli = "quantaq_cli.console:main" +quantaq-py = "quantaq_py.console:main" [build-system] requires = ["poetry-core>=1.0.0"] diff --git a/quantaq_cli/__init__.py b/quantaq_py/__init__.py similarity index 100% rename from quantaq_cli/__init__.py rename to quantaq_py/__init__.py diff --git a/quantaq_cli/console/__init__.py b/quantaq_py/console/__init__.py similarity index 98% rename from quantaq_cli/console/__init__.py rename to quantaq_py/console/__init__.py index 8b2fad6..931848e 100644 --- a/quantaq_cli/console/__init__.py +++ b/quantaq_py/console/__init__.py @@ -1,6 +1,6 @@ import pkg_resources import rich_click as click -from quantaq_cli.variables import SUPPORTED_MODELS, SUPPORTED_SOURCES +from quantaq_py.variables import SUPPORTED_MODELS, SUPPORTED_SOURCES CONTEXT_SETTINGS = dict(help_option_names=['-h', '--help']) diff --git a/quantaq_cli/console/commands/__init__.py b/quantaq_py/console/commands/__init__.py similarity index 100% rename from quantaq_cli/console/commands/__init__.py rename to quantaq_py/console/commands/__init__.py diff --git a/quantaq_cli/console/commands/concat.py b/quantaq_py/console/commands/concat.py similarity index 100% rename from quantaq_cli/console/commands/concat.py rename to quantaq_py/console/commands/concat.py diff --git a/quantaq_cli/console/commands/expunge.py b/quantaq_py/console/commands/expunge.py similarity index 88% rename from quantaq_cli/console/commands/expunge.py rename to quantaq_py/console/commands/expunge.py index fa6a243..1e3fcb8 100644 --- a/quantaq_cli/console/commands/expunge.py +++ b/quantaq_py/console/commands/expunge.py @@ -4,10 +4,10 @@ import numpy as np import pandas as pd -from quantaq_cli.exceptions import InvalidFileExtension, InvalidDeviceModel -from quantaq_cli.utilities import safe_load, determine_timestamp_column -from quantaq_cli.variables import FLAG_DEFINITIONS, SUPPORTED_MODELS -from quantaq_cli.console.commands.flag import ( +from quantaq_py.exceptions import InvalidFileExtension, InvalidDeviceModel +from quantaq_py.utilities import safe_load, determine_timestamp_column +from quantaq_py.variables import FLAG_DEFINITIONS, SUPPORTED_MODELS +from quantaq_py.console.commands.flag import ( echo_flag_table ) diff --git a/quantaq_cli/console/commands/flag.py b/quantaq_py/console/commands/flag.py similarity index 92% rename from quantaq_cli/console/commands/flag.py rename to quantaq_py/console/commands/flag.py index bb7ee9f..6057731 100644 --- a/quantaq_cli/console/commands/flag.py +++ b/quantaq_py/console/commands/flag.py @@ -8,12 +8,12 @@ from rich.table import Table from terminaltables import SingleTable -from quantaq_cli.variables import FLAG_DEFINITIONS, FLAG_CRITERIA, get_flag_criteria -from quantaq_cli.variables import SUPPORTED_MODELS, SUPPORTED_SOURCES -from quantaq_cli.variables import Range, Gap -from quantaq_cli.utilities import determine_timestamp_column, safe_load -from quantaq_cli.utilities import infer_data_source, infer_data_model -from quantaq_cli.exceptions import InvalidFileExtension, InvalidArgument, InvalidDeviceModel +from quantaq_py.variables import FLAG_DEFINITIONS, FLAG_CRITERIA, get_flag_criteria +from quantaq_py.variables import SUPPORTED_MODELS, SUPPORTED_SOURCES +from quantaq_py.variables import Range, Gap +from quantaq_py.utilities import determine_timestamp_column, safe_load +from quantaq_py.utilities import infer_data_source, infer_data_model +from quantaq_py.exceptions import InvalidFileExtension, InvalidArgument, InvalidDeviceModel def add_flag(df, flag_name, flag_value, criterion): diff --git a/quantaq_cli/console/commands/merge.py b/quantaq_py/console/commands/merge.py similarity index 100% rename from quantaq_cli/console/commands/merge.py rename to quantaq_py/console/commands/merge.py diff --git a/quantaq_cli/console/commands/munge.py b/quantaq_py/console/commands/munge.py similarity index 100% rename from quantaq_cli/console/commands/munge.py rename to quantaq_py/console/commands/munge.py diff --git a/quantaq_cli/console/commands/resample.py b/quantaq_py/console/commands/resample.py similarity index 98% rename from quantaq_cli/console/commands/resample.py rename to quantaq_py/console/commands/resample.py index 228c0fc..36f8e06 100644 --- a/quantaq_cli/console/commands/resample.py +++ b/quantaq_py/console/commands/resample.py @@ -7,8 +7,8 @@ import pandas as pd from pandas.api.types import is_numeric_dtype, is_datetime64_any_dtype -from quantaq_cli.exceptions import InvalidFileExtension -from quantaq_cli.utilities import safe_load +from quantaq_py.exceptions import InvalidFileExtension +from quantaq_py.utilities import safe_load # Default (u, v, speed, direction) column names for vector wind averaging. diff --git a/quantaq_cli/exceptions.py b/quantaq_py/exceptions.py similarity index 100% rename from quantaq_cli/exceptions.py rename to quantaq_py/exceptions.py diff --git a/quantaq_cli/utilities.py b/quantaq_py/utilities.py similarity index 98% rename from quantaq_cli/utilities.py rename to quantaq_py/utilities.py index b8a2494..920de06 100644 --- a/quantaq_cli/utilities.py +++ b/quantaq_py/utilities.py @@ -3,7 +3,7 @@ from loguru import logger import pandas as pd -from quantaq_cli.exceptions import InvalidFileExtension +from quantaq_py.exceptions import InvalidFileExtension def infer_data_source(df): diff --git a/quantaq_cli/variables.py b/quantaq_py/variables.py similarity index 100% rename from quantaq_cli/variables.py rename to quantaq_py/variables.py diff --git a/tests/test_clean.py b/tests/test_clean.py index 9a4083c..59a81ce 100644 --- a/tests/test_clean.py +++ b/tests/test_clean.py @@ -6,7 +6,7 @@ import shutil, tempfile import pandas as pd -from quantaq_cli.console import clean +from quantaq_py.console import clean class SetupTestCase(unittest.TestCase): diff --git a/tests/test_concat.py b/tests/test_concat.py index 14c8d25..2d9ff03 100644 --- a/tests/test_concat.py +++ b/tests/test_concat.py @@ -6,7 +6,7 @@ import shutil, tempfile import pandas as pd -from quantaq_cli.console import concat +from quantaq_py.console import concat class SetupTestCase(unittest.TestCase): diff --git a/tests/test_expunge.py b/tests/test_expunge.py index 487d1a5..47db818 100644 --- a/tests/test_expunge.py +++ b/tests/test_expunge.py @@ -9,9 +9,9 @@ import numpy as np -from quantaq_cli.console import expunge -from quantaq_cli.console.commands.expunge import expunge_dataframe -from quantaq_cli.console.commands.flag import ( +from quantaq_py.console import expunge +from quantaq_py.console.commands.expunge import expunge_dataframe +from quantaq_py.console.commands.flag import ( flag_dataframe, flag_summary, ) diff --git a/tests/test_flag.py b/tests/test_flag.py index d49f7f1..9c40fb4 100644 --- a/tests/test_flag.py +++ b/tests/test_flag.py @@ -6,7 +6,7 @@ import shutil, tempfile import pandas as pd -from quantaq_cli.console import flag +from quantaq_py.console import flag class SetupTestCase(unittest.TestCase): def setUp(self): diff --git a/tests/test_merge.py b/tests/test_merge.py index d208a9d..d3a51aa 100644 --- a/tests/test_merge.py +++ b/tests/test_merge.py @@ -6,8 +6,8 @@ import shutil, tempfile import pandas as pd -from quantaq_cli.console import merge, concat -from quantaq_cli.utilities import safe_load +from quantaq_py.console import merge, concat +from quantaq_py.utilities import safe_load class SetupTestCase(unittest.TestCase): diff --git a/tests/test_resample.py b/tests/test_resample.py index 8010c76..8573469 100644 --- a/tests/test_resample.py +++ b/tests/test_resample.py @@ -10,9 +10,9 @@ from click.testing import CliRunner from loguru import logger -from quantaq_cli.console import resample -from quantaq_cli.console.commands.resample import resample_dataframe, WIND_COLUMNS -from quantaq_cli.utilities import safe_load +from quantaq_py.console import resample +from quantaq_py.console.commands.resample import resample_dataframe, WIND_COLUMNS +from quantaq_py.utilities import safe_load class SetupTestCase(unittest.TestCase): diff --git a/tests/test_utilities.py b/tests/test_utilities.py index f6bcaa5..7c7e7c9 100644 --- a/tests/test_utilities.py +++ b/tests/test_utilities.py @@ -5,8 +5,8 @@ import numpy as np -from quantaq_cli.utilities import safe_load -from quantaq_cli.utilities import sn_to_model, infer_data_model, infer_data_source +from quantaq_py.utilities import safe_load +from quantaq_py.utilities import sn_to_model, infer_data_model, infer_data_source class SetupTestCase(unittest.TestCase): def setUp(self): From 7d09cc49f365131d4069a3f5fe78c97723e96643 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 1 Jul 2026 10:00:49 -0400 Subject: [PATCH 26/60] Add logging configuration file --- quantaq_py/log.py | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) create mode 100644 quantaq_py/log.py diff --git a/quantaq_py/log.py b/quantaq_py/log.py new file mode 100644 index 0000000..e8237c1 --- /dev/null +++ b/quantaq_py/log.py @@ -0,0 +1,20 @@ +import sys +from loguru import logger + + +# loguru levels, ordered low -> high +LOG_LEVELS = ["TRACE", "DEBUG", "INFO", "SUCCESS", "WARNING", "ERROR", "CRITICAL"] + +def configure_logging(level: str = "INFO") -> None: + """Reset loguru to log to stderr at the given level. + + # example usage: + from quantaq.concat import concat_files + from quantaq.log import configure_logging + + configure_logging("DEBUG") + df = concat_files(my_files) + """ + logger.remove() + logger.add(sys.stderr, level=level.upper()) + \ No newline at end of file From b11c7c57bf9aa79365d662fd57915e8e7f312ce3 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 1 Jul 2026 10:15:43 -0400 Subject: [PATCH 27/60] Create importable concat_files() function and move concat_command() to cli.py --- quantaq_py/__init__.py | 5 + quantaq_py/cli.py | 36 +++++++ quantaq_py/concat.py | 26 +++++ quantaq_py/console/commands/concat.py | 140 -------------------------- tests/test_concat.py | 96 ++++++------------ 5 files changed, 96 insertions(+), 207 deletions(-) create mode 100644 quantaq_py/cli.py create mode 100644 quantaq_py/concat.py delete mode 100644 quantaq_py/console/commands/concat.py diff --git a/quantaq_py/__init__.py b/quantaq_py/__init__.py index e69de29..d9027de 100644 --- a/quantaq_py/__init__.py +++ b/quantaq_py/__init__.py @@ -0,0 +1,5 @@ +from quantaq_py.concat import concat_files + +__all__ = [ + "concat_files", +] \ No newline at end of file diff --git a/quantaq_py/cli.py b/quantaq_py/cli.py new file mode 100644 index 0000000..9c85ad4 --- /dev/null +++ b/quantaq_py/cli.py @@ -0,0 +1,36 @@ +from pathlib import Path +import click + +from loguru import logger + +from quantaq_py import concat_files +from quantaq_py.exceptions import InvalidFileExtension +from quantaq_py.log import configure_logging, LOG_LEVELS + + +@click.command("concat") +@click.argument("files", nargs=-1, type=click.Path()) +@click.option("-o", "--output", default="output.csv", help="The filepath where you would like to save the file", type=str) +@click.option("--log-level", default="INFO", + type=click.Choice(LOG_LEVELS, case_sensitive=False), + help="loguru log level (default: INFO)") +def concat_command(files, output, log_level): + configure_logging(log_level) + + # make sure the extension is valid + output = Path(output) + if output.suffix not in (".csv", ".parquet"): + raise InvalidFileExtension("Invalid file extension") + + # concat everything in filepath + logger.info("Files to read: {}", files) + + df = concat_files(files) + + # save the file + logger.info("Saving file to {}", output) + + if output.suffix == ".csv": + df.to_csv(output, index=False) + else: + df.to_parquet(output, index=False) diff --git a/quantaq_py/concat.py b/quantaq_py/concat.py new file mode 100644 index 0000000..d6cc510 --- /dev/null +++ b/quantaq_py/concat.py @@ -0,0 +1,26 @@ +from loguru import logger +import pandas as pd + +from quantaq_py.utilities import safe_load, determine_timestamp_column + +def concat_files(files): + # read all files + data = [] + logger.info("Parsing {} files", len(files)) + for f in files: + + logger.debug("Parsing {}", f) + tmp = safe_load(f) + data.append(tmp) + + # concat all of the files together + df = pd.concat(data, sort=False) + + # sort based on a time column + tscol = determine_timestamp_column(df) + df = df.sort_values(by=tscol) + + if df.empty: + raise Exception("No data") + + return df diff --git a/quantaq_py/console/commands/concat.py b/quantaq_py/console/commands/concat.py deleted file mode 100644 index bbc8ac3..0000000 --- a/quantaq_py/console/commands/concat.py +++ /dev/null @@ -1,140 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- - -from pathlib import Path -import pandas as pd -import numpy as np -import re -import click - -from ...exceptions import InvalidFileExtension - - -def concat_command(files, output, **kwargs): - verbose = kwargs.pop("verbose", False) - - # make sure the extension is csv - output = Path(output) - if output.suffix not in (".csv", ".feather"): - raise InvalidFileExtension("Invalid file extension") - - save_as_csv = True if output.suffix == ".csv" else False - - # concat everything in filepath - if verbose: - click.secho("Files to read: {}".format(files), fg='green') - - # read all files - data = [] - with click.progressbar(files, label="Parsing files") as bar: - for f in bar: - tmp = pd.read_csv(f, nrows=1, header=None) - - # hack to support new products with a different file format - if tmp.iloc[0, 0] == 'deviceModel': - tmp = pd.read_csv(f, skiprows=3) - elif tmp.shape[1] == 2: - tmp = pd.read_csv(f, skiprows=1) - else: - tmp = pd.read_csv(f) - - data.append(tmp) - - # concat all of the files together - df = pd.concat(data, sort=False) - - # try sorting based on a time column - if "timestamp_iso" in df.columns: - df = df.sort_values(by='timestamp_iso') - elif "timestamp" in df.columns: - df = df.sort_values(by='timestamp') - - if df.empty: - raise Exception("No data") - - # save the file - if verbose: - click.secho("Saving file to {}".format(output), fg='green') - - if save_as_csv: - df.to_csv(output) - else: - df.reset_index().to_feather(output) - - -def concat_logs_command(files, output, **kwargs): - verbose = kwargs.pop("verbose", False) - - # make sure the extension is txt - output = Path(output) - if output.suffix not in (".csv", ".feather"): - raise InvalidFileExtension("Invalid file extension") - - save_as_csv = True if output.suffix == ".csv" else False - - # concat everything in filepath - if verbose: - click.secho("Files to read: {}".format(files), fg='green') - - # read all files - data = [] - with click.progressbar(files, label="Parsing files") as bar: - for each in bar: - with open(each, "r", errors='ignore') as f: - for line in f: - line = line.split(":") - - x, y = line[0], line[1:] - - y = ":".join(y).strip() - - try: - millis, location, level = re.split("[ ]", x) - except: - continue - - location = location[1:-1] - - data.append(dict(millis=int(millis), location=location, level=level, message=y)) - - # concat all results - data = pd.DataFrame(data) - - # group data - data["group"] = (data.millis - data.millis.shift(1) < -1000).cumsum() - data["timestamp_iso"] = np.nan - - rv = [] - - for _, grp in data.groupby("group"): - t0 = None - - idx = grp[grp["message"].str.contains("Current time", regex=False)] - if not idx.empty: - t0 = pd.to_datetime(":".join(idx.message.values[0].split(":")[1:])) - else: - idx = grp[grp["message"].str.contains("Time from RTC", regex=False)] - if not idx.empty: - t0 = pd.to_datetime(idx.message.values[0][18:]) - - if t0: - millis0 = idx["millis"].values[0] - - grp.loc[:, "timestamp_iso"] = grp["millis"].apply(lambda x: t0 + pd.Timedelta(x - millis0, unit='millis')) - - rv.append(grp) - - rv = pd.concat(rv) - del rv["group"] - - if rv.empty: - raise Exception("No data") - - # save the file - if verbose: - click.secho("Saving file to {}".format(output), fg='green') - - if save_as_csv: - rv.to_csv(output) - else: - rv.reset_index().to_feather(output) diff --git a/tests/test_concat.py b/tests/test_concat.py index 2d9ff03..af1fc2a 100644 --- a/tests/test_concat.py +++ b/tests/test_concat.py @@ -6,8 +6,8 @@ import shutil, tempfile import pandas as pd -from quantaq_py.console import concat - +from quantaq_py.cli import concat_command +from quantaq_py.utilities import safe_load class SetupTestCase(unittest.TestCase): def setUp(self): @@ -19,11 +19,12 @@ def tearDown(self): def test_concat_files_csv_arisense_db(self): runner = CliRunner() - result = runner.invoke(concat, + result = runner.invoke(concat_command, [ "-o", os.path.join(self.test_dir, "output.csv"), - "-v", + "--log-level", + "DEBUG", os.path.join(self.test_files_dir, "arisense/SN000-063-db-file1.csv"), os.path.join(self.test_files_dir, "arisense/SN000-063-db-file2.csv"), ], @@ -44,9 +45,9 @@ def test_concat_files_csv_arisense_db(self): self.assertEqual(p.suffix, ".csv") # are the number of lines correct? - df1 = pd.read_csv(os.path.join(self.test_files_dir, "arisense/SN000-063-db-file1.csv")) - df2 = pd.read_csv(os.path.join(self.test_files_dir, "arisense/SN000-063-db-file2.csv"), skiprows=1) - df3 = pd.read_csv(os.path.join(self.test_dir, "output.csv")).sort_values('timestamp') + df1 = safe_load(os.path.join(self.test_files_dir, "arisense/SN000-063-db-file1.csv")) + df2 = safe_load(os.path.join(self.test_files_dir, "arisense/SN000-063-db-file2.csv")) + df3 = safe_load(os.path.join(self.test_dir, "output.csv")).sort_values('timestamp') self.assertEqual(df1.shape[0] + df2.shape[0], df3.shape[0]) @@ -54,58 +55,17 @@ def test_concat_files_csv_arisense_db(self): for i, (_, r) in enumerate(df2.sort_values('timestamp').head().iterrows()): self.assertEqual(r['timestamp'], df3.loc[i, "timestamp"]) - def test_concat_logfiles(self): - runner = CliRunner() - result = runner.invoke(concat, - [ - "-o", - os.path.join(self.test_dir, "output.csv"), - "-l", - os.path.join(self.test_files_dir, "modulair-pm/logs/000001.txt"), - os.path.join(self.test_files_dir, "modulair-pm/logs/000002.txt"), - ], - catch_exceptions=False - ) - - # did it succeed? - print (result.stdout) - self.assertEqual(result.exit_code, 0) - - def test_concat_files_feather_arisense_db(self): - runner = CliRunner() - result = runner.invoke(concat, - [ - "-o", - os.path.join(self.test_dir, "output.feather"), - "-v", - os.path.join(self.test_files_dir, "arisense/SN000-063-db-file1.csv"), - os.path.join(self.test_files_dir, "arisense/SN000-063-db-file2.csv"), - ] - ) - - # did it succeed? - self.assertEqual(result.exit_code, 0) - - # did it output the correct text? - self.assertTrue("Saving file" in result.output) - - # make sure the file exists - p = Path(self.test_dir + "/output.feather") - self.assertTrue(p.exists()) - - # is it a csv? - self.assertEqual(p.suffix, ".feather") - def test_concat_files_modulairx_rawsd(self): runner = CliRunner() - result = runner.invoke(concat, + result = runner.invoke(concat_command, [ "-o", os.path.join(self.test_dir, "output.csv"), - "-v", + "--log-level", + "DEBUG", os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file1.csv"), os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file2.csv"), - ] + ], catch_exceptions=False ) # did it succeed? @@ -119,22 +79,23 @@ def test_concat_files_modulairx_rawsd(self): self.assertEqual(p.suffix, ".csv") # are the number of lines correct? - df1 = pd.read_csv(os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file1.csv"), skiprows=3) - df2 = pd.read_csv(os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file2.csv"), skiprows=3) - df3 = pd.read_csv(os.path.join(self.test_dir, "output.csv")) + df1 = safe_load(os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file1.csv")) + df2 = safe_load(os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file2.csv")) + df3 = safe_load(os.path.join(self.test_dir, "output.csv")) self.assertEqual(df1.shape[0] + df2.shape[0], df3.shape[0]) def test_concat_files_modulairpm_rawsd(self): runner = CliRunner() - result = runner.invoke(concat, + result = runner.invoke(concat_command, [ "-o", os.path.join(self.test_dir, "output.csv"), - "-v", + "--log-level", + "DEBUG", os.path.join(self.test_files_dir, "modulair-pm/MOD-PM-00001-rawsd-file1.csv"), os.path.join(self.test_files_dir, "modulair-pm/MOD-PM-00001-rawsd-file2.csv"), - ] + ], catch_exceptions=False ) # did it succeed? @@ -148,22 +109,23 @@ def test_concat_files_modulairpm_rawsd(self): self.assertEqual(p.suffix, ".csv") # are the number of lines correct? - df1 = pd.read_csv(os.path.join(self.test_files_dir, "modulair-pm/MOD-PM-00001-rawsd-file1.csv"), skiprows=3) - df2 = pd.read_csv(os.path.join(self.test_files_dir, "modulair-pm/MOD-PM-00001-rawsd-file2.csv"), skiprows=3) - df3 = pd.read_csv(os.path.join(self.test_dir, "output.csv")) + df1 = safe_load(os.path.join(self.test_files_dir, "modulair-pm/MOD-PM-00001-rawsd-file1.csv")) + df2 = safe_load(os.path.join(self.test_files_dir, "modulair-pm/MOD-PM-00001-rawsd-file2.csv")) + df3 = safe_load(os.path.join(self.test_dir, "output.csv")) self.assertEqual(df1.shape[0] + df2.shape[0], df3.shape[0]) def test_concat_files_modulairx_cloudapi(self): runner = CliRunner() - result = runner.invoke(concat, + result = runner.invoke(concat_command, [ "-o", os.path.join(self.test_dir, "output.csv"), - "-v", + "--log-level", + "DEBUG", os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file1.csv"), os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file2.csv"), - ] + ], catch_exceptions=False ) # did it succeed? @@ -177,8 +139,8 @@ def test_concat_files_modulairx_cloudapi(self): self.assertEqual(p.suffix, ".csv") # are the number of lines correct? - df1 = pd.read_csv(os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file1.csv")) - df2 = pd.read_csv(os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file2.csv")) - df3 = pd.read_csv(os.path.join(self.test_dir, "output.csv")) + df1 = safe_load(os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file1.csv")) + df2 = safe_load(os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file2.csv")) + df3 = safe_load(os.path.join(self.test_dir, "output.csv")) self.assertEqual(df1.shape[0] + df2.shape[0], df3.shape[0]) From 554d0fed6ce0d3c8da59ea523dd4c1f290acb1ad Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 1 Jul 2026 10:32:31 -0400 Subject: [PATCH 28/60] Create importable merge_files() function and move merge_command() to cli.py --- quantaq_py/__init__.py | 2 + quantaq_py/cli.py | 35 ++++++- quantaq_py/console/commands/merge.py | 68 -------------- quantaq_py/merge.py | 45 +++++++++ tests/test_merge.py | 135 +++++++++++---------------- 5 files changed, 138 insertions(+), 147 deletions(-) delete mode 100644 quantaq_py/console/commands/merge.py create mode 100644 quantaq_py/merge.py diff --git a/quantaq_py/__init__.py b/quantaq_py/__init__.py index d9027de..899f0ea 100644 --- a/quantaq_py/__init__.py +++ b/quantaq_py/__init__.py @@ -1,5 +1,7 @@ from quantaq_py.concat import concat_files +from quantaq_py.merge import merge_files __all__ = [ "concat_files", + "merge_files" ] \ No newline at end of file diff --git a/quantaq_py/cli.py b/quantaq_py/cli.py index 9c85ad4..7e43610 100644 --- a/quantaq_py/cli.py +++ b/quantaq_py/cli.py @@ -3,7 +3,7 @@ from loguru import logger -from quantaq_py import concat_files +from quantaq_py import concat_files, merge_files from quantaq_py.exceptions import InvalidFileExtension from quantaq_py.log import configure_logging, LOG_LEVELS @@ -34,3 +34,36 @@ def concat_command(files, output, log_level): df.to_csv(output, index=False) else: df.to_parquet(output, index=False) + + +@click.command("merge", short_help="merge two files together on their timestamp") +@click.argument("files", nargs=-1, type=click.Path()) +@click.option("-ts", "--tscol", default="timestamp", help="The column by which to join the files", type=str) +@click.option("-o", "--output", default="output.csv", help="The filepath where you would like to save the file", type=str) +@click.option("--log-level", default="INFO", + type=click.Choice(LOG_LEVELS, case_sensitive=False), + help="loguru log level (default: INFO)") +def merge_command(files, output, tscol, log_level): + """Merge FILES together and save to OUTPUT.""" + + configure_logging(log_level) + + # make sure the extension is either a csv or parquet format + output = Path(output) + if output.suffix not in (".csv", ".parquet"): + raise InvalidFileExtension("Invalid file extension") + + # merge everything in filepath + logger.info("Files to read: {}", files) + + df = merge_files(files, tscol) + + # save the file + logger.info("Saving file to {}", output) + if output.suffix == ".csv": + # index=True is needed to preserve the timestamp column after merge + df.to_csv(output, index=True) + else: + # index=True is needed to preserve the timestamp column after merge + df.to_parquet(output, index=True) + \ No newline at end of file diff --git a/quantaq_py/console/commands/merge.py b/quantaq_py/console/commands/merge.py deleted file mode 100644 index 7e45a74..0000000 --- a/quantaq_py/console/commands/merge.py +++ /dev/null @@ -1,68 +0,0 @@ -from pathlib import Path -import pandas as pd -from pandas.api.types import is_datetime64_any_dtype, is_timedelta64_dtype -import numpy as np -import click - -from ...exceptions import InvalidFileExtension -from ...utilities import safe_load - - -def merge_command(files, output, **kwargs): - verbose = kwargs.pop("verbose", False) - tscol = kwargs.pop("tscol", "timestamp_iso") - - # create an array of timestamp column names to try - tscols = [tscol, "timestamp", "timestamp_local"] - - # make sure the extension is either a csv or feather format - output = Path(output) - if output.suffix not in (".csv", ".feather"): - raise InvalidFileExtension("Invalid file extension") - - save_as_csv = True if output.suffix == ".csv" else False - - # concat everything in filepath - if verbose: - click.secho("Files to read: {}".format(files), fg='green') - - df = pd.DataFrame() - with click.progressbar(files, label="Parsing files") as bar: - for f in bar: - tmp = safe_load(f) - - # check for the column name and set to best guess - for c in tscols: - if c in tmp.columns: - tscol = c - break - - if not tscol in tmp.columns: - click.secho("Time tscol was not found in the file; skipping file.", fg='red') - continue - - # convert the timestamp column to a pandas datetime - if not (is_datetime64_any_dtype(tmp[tscol]) or is_timedelta64_dtype(tmp[tscol])): - tmp[tscol] = tmp[tscol].apply(lambda x: pd.to_datetime(x, errors='coerce')) - - # drop the bad rows - tmp = tmp.dropna(how='any', subset=[tscol]) - - # localize the timezone if needed - tmp[tscol] = tmp[tscol].apply(lambda x: x.tz_localize("UTC") if not x.tzinfo else x) - - # set the index - tmp.set_index(tscol, inplace=True) - - # merge with the other files - df = pd.merge(df, tmp, left_index=True, right_index=True, how='outer') - - # save the file - if verbose: - click.secho("Saving file to {}".format(output), fg='green') - - if save_as_csv: - df.to_csv(output) - else: - df.reset_index().to_feather(output) - diff --git a/quantaq_py/merge.py b/quantaq_py/merge.py new file mode 100644 index 0000000..bf3249c --- /dev/null +++ b/quantaq_py/merge.py @@ -0,0 +1,45 @@ +from loguru import logger +import pandas as pd +from pandas.api.types import is_datetime64_any_dtype, is_timedelta64_dtype + +from quantaq_py.utilities import safe_load + + +def merge_files(files, tscol="timestamp"): + """Merge multiple files on a timestamp column.""" + + # create an array of timestamp column names to try + tscols = [tscol, "timestamp", "timestamp_local"] + + df = pd.DataFrame() + logger.info("Parsing {} files", len(files)) + for f in files: + logger.debug("Parsing {}", f) + tmp = safe_load(f) + + # check for the column name and set to best guess + for c in tscols: + if c in tmp.columns: + tscol = c + break + + if not tscol in tmp.columns: + logger.debug("Time {} was not found in the file; skipping file.", tscol) + continue + + # convert the timestamp column to a pandas datetime + if not (is_datetime64_any_dtype(tmp[tscol]) or is_timedelta64_dtype(tmp[tscol])): + tmp[tscol] = tmp[tscol].apply(lambda x: pd.to_datetime(x, errors='coerce')) + + # drop the bad rows + tmp = tmp.dropna(how='any', subset=[tscol]) + + # localize the timezone if needed + tmp[tscol] = tmp[tscol].apply(lambda x: x.tz_localize("UTC") if not x.tzinfo else x) + + # set the index + tmp.set_index(tscol, inplace=True) + + # merge with the other files + df = pd.merge(df, tmp, left_index=True, right_index=True, how='outer') + return df diff --git a/tests/test_merge.py b/tests/test_merge.py index d3a51aa..699328f 100644 --- a/tests/test_merge.py +++ b/tests/test_merge.py @@ -1,12 +1,14 @@ -import unittest -from click.testing import CliRunner +import os from os import path from pathlib import Path -import os -import shutil, tempfile +import shutil +import tempfile +import unittest + +from click.testing import CliRunner import pandas as pd -from quantaq_py.console import merge, concat +from quantaq_py.cli import concat_command, merge_command from quantaq_py.utilities import safe_load @@ -20,11 +22,12 @@ def tearDown(self): def test_merge_files_modulair_db(self): runner = CliRunner() - result = runner.invoke(merge, + result = runner.invoke(merge_command, [ "-o", os.path.join(self.test_dir, "output.csv"), - "-v", + "--log-level", + "DEBUG", os.path.join(self.test_files_dir, "modulair/MOD-00014-db-raw.csv"), os.path.join(self.test_files_dir, "modulair/MOD-00014-db-final.csv"), ], @@ -47,82 +50,55 @@ def test_merge_files_modulair_db(self): # are the number of lines correct? df1 = safe_load(os.path.join(self.test_files_dir, "modulair/MOD-00014-db-raw.csv")) df2 = safe_load(os.path.join(self.test_files_dir, "modulair/MOD-00014-db-final.csv")) - df3 = safe_load(os.path.join(self.test_dir, "output.csv")) + df3 = safe_load(os.path.join(self.test_dir, "output.csv")) self.assertEqual(df1.shape[1] + df2.shape[1] - 1, df3.shape[1]) - def test_merge_files_feather(self): - runner = CliRunner() - result = runner.invoke(merge, - [ - "-o", - os.path.join(self.test_dir, "output.feather"), - "-v", - os.path.join(self.test_files_dir, "arisense/SN000-063-db-file1.csv"), - os.path.join(self.test_files_dir, "arisense/ref/ref.csv"), - ], - catch_exceptions=False - ) - - # did it succeed? - self.assertEqual(result.exit_code, 0) - - # did it output the correct text? - self.assertTrue("Saving file" in result.output) - - # make sure the file exists - p = Path(self.test_dir + "/output.feather") - self.assertTrue(p.exists()) - - # is it a csv? - self.assertEqual(p.suffix, ".feather") - - def test_concat_then_merge(self): - runner = CliRunner() - res1 = runner.invoke(concat, - [ - "-o", - os.path.join(self.test_dir, "concat1.csv"), - os.path.join(self.test_files_dir, "modulair-pm/MOD-PM-00001-rawsd-file1.csv"), - os.path.join(self.test_files_dir, "modulair-pm/MOD-PM-00001-rawsd-file2.csv"), - ], - catch_exceptions=False - ) - - self.assertEqual(res1.exit_code, 0) - - res2 = runner.invoke(concat, - [ - "-o", - os.path.join(self.test_dir, "concat2.csv"), - "-l", - os.path.join(self.test_files_dir, "modulair-pm/logs/000001.txt"), - os.path.join(self.test_files_dir, "modulair-pm/logs/000002.txt"), - ], - catch_exceptions=False - ) - - self.assertEqual(res2.exit_code, 0) - - res3 = runner.invoke(merge, - [ - "-o", - os.path.join(self.test_dir, "final.csv"), - os.path.join(self.test_dir, "concat1.csv"), - os.path.join(self.test_dir, "concat2.csv"), - ], - catch_exceptions=False - ) - - self.assertEqual(res3.exit_code, 0) + #def test_concat_then_merge(self): + # runner = CliRunner() + # res1 = runner.invoke(concat_command, + # [ + # "-o", + # os.path.join(self.test_dir, "concat1.csv"), + # os.path.join(self.test_files_dir, "modulair-pm/MOD-PM-00001-rawsd-file1.csv"), + # os.path.join(self.test_files_dir, "modulair-pm/MOD-PM-00001-rawsd-file2.csv"), + # ], catch_exceptions=False + # ) + + # self.assertEqual(res1.exit_code, 0) + + # res2 = runner.invoke(concat_command, + # [ + # "-o", + # os.path.join(self.test_dir, "concat2.csv"), + # "-l", + # os.path.join(self.test_files_dir, "modulair-pm/logs/000001.txt"), + # os.path.join(self.test_files_dir, "modulair-pm/logs/000002.txt"), + # ], catch_exceptions=False + # ) + + # self.assertEqual(res2.exit_code, 0) + + # res3 = runner.invoke(merge_command, + # [ + # "-o", + # os.path.join(self.test_dir, "final.csv"), + # os.path.join(self.test_dir, "concat1.csv"), + # os.path.join(self.test_dir, "concat2.csv"), + # ], + # catch_exceptions=False + # ) + + # self.assertEqual(res3.exit_code, 0) def test_merge_files_modulairx_rawsd(self): runner = CliRunner() - result = runner.invoke(merge, + result = runner.invoke(merge_command, [ "-o", os.path.join(self.test_dir, "output.csv"), - "-v", + "--log-level", + "DEBUG", os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file1.csv"), os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file2.csv"), ], @@ -145,17 +121,19 @@ def test_merge_files_modulairx_rawsd(self): # are the number of lines correct? df1 = safe_load(os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file1.csv")) df2 = safe_load(os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file2.csv")) - df3 = safe_load(os.path.join(self.test_dir, "output.csv")) + df3 = safe_load(os.path.join(self.test_dir, "output.csv")) + print(df1.shape[1], df2.shape[1], df3.shape[1], flush=True) self.assertEqual(df1.shape[1] + df2.shape[1] - 1, df3.shape[1]) def test_merge_files_modulairx_cloudapi(self): runner = CliRunner() - result = runner.invoke(merge, + result = runner.invoke(merge_command, [ "-o", os.path.join(self.test_dir, "output.csv"), - "-v", + "--log-level", + "DEBUG", os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file1.csv"), os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file2.csv"), ], @@ -178,7 +156,8 @@ def test_merge_files_modulairx_cloudapi(self): # are the number of lines correct? df1 = safe_load(os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file1.csv")) df2 = safe_load(os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file2.csv")) - df3 = safe_load(os.path.join(self.test_dir, "output.csv")) + df3 = safe_load(os.path.join(self.test_dir, "output.csv")) + print(df1.shape[1], df2.shape[1], df3.shape[1], flush=True) self.assertEqual(df1.shape[1] + df2.shape[1] - 1, df3.shape[1]) \ No newline at end of file From 6afab699e8e5511b57162ab6bb8b9c19b7b2ed18 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 1 Jul 2026 10:46:20 -0400 Subject: [PATCH 29/60] Create importable resample_dataframe() function and move resample_command() to cli.py --- quantaq_py/__init__.py | 4 +- quantaq_py/cli.py | 65 ++++++++++++++++++- quantaq_py/{console/commands => }/resample.py | 46 ------------- tests/test_resample.py | 29 +++++---- 4 files changed, 83 insertions(+), 61 deletions(-) rename quantaq_py/{console/commands => }/resample.py (82%) diff --git a/quantaq_py/__init__.py b/quantaq_py/__init__.py index 899f0ea..c88597e 100644 --- a/quantaq_py/__init__.py +++ b/quantaq_py/__init__.py @@ -1,7 +1,9 @@ from quantaq_py.concat import concat_files from quantaq_py.merge import merge_files +from quantaq_py.resample import resample_dataframe __all__ = [ "concat_files", - "merge_files" + "merge_files", + "resample_dataframe" ] \ No newline at end of file diff --git a/quantaq_py/cli.py b/quantaq_py/cli.py index 7e43610..f5eb96e 100644 --- a/quantaq_py/cli.py +++ b/quantaq_py/cli.py @@ -3,9 +3,11 @@ from loguru import logger -from quantaq_py import concat_files, merge_files +from quantaq_py import concat_files, merge_files, resample_dataframe from quantaq_py.exceptions import InvalidFileExtension from quantaq_py.log import configure_logging, LOG_LEVELS +from quantaq_py.resample import WIND_COLUMNS +from quantaq_py.utilities import safe_load @click.command("concat") @@ -66,4 +68,63 @@ def merge_command(files, output, tscol, log_level): else: # index=True is needed to preserve the timestamp column after merge df.to_parquet(output, index=True) - \ No newline at end of file + + +@click.command("resample", short_help="up/down sample data") +@click.argument("file", nargs=1, type=click.Path()) +@click.argument("rule", nargs=1, type=str) +@click.option("-o", "--output", default="output.csv", help="The filepath where you would like to save the file", type=str) +@click.option("--on", default="timestamp", help="Name of the datetime column to resample over.", type=str) +@click.option("--by", default=None, help="Optional column(s) to group by first") +@click.option( + "--wind", + nargs=4, + type=str, + default=("wx_u", "wx_v", "wx_ws", "wx_wd"), + help="(u, v, speed, direction) column names", +) +@click.option("--numeric_how", default="mean", help="Aggregation for numeric columns.") +@click.option("--nonnumeric_how", default="first", help="Aggregation for non-numeric columns.") +@click.option("--log-level", default="INFO", + type=click.Choice(LOG_LEVELS, case_sensitive=False), + help="loguru log level (default: INFO)") +def resample_command(file, rule, output, log_level, **kwargs): + """Resample FILE at INTERVAL and save to OUTPUT.""" + configure_logging(log_level) + on = kwargs.pop("on", "timestamp") + by = kwargs.pop("by", None) + wind = kwargs.pop("wind", WIND_COLUMNS) + numeric_how = kwargs.pop("numeric_how", "mean") + nonnumeric_how = kwargs.pop("nonnumeric_how", "first") + + # make sure the extension is either a csv or feather format + output = Path(output) + if output.suffix not in (".csv", ".feather"): + raise InvalidFileExtension("Invalid file extension") + + logger.info("File to read: {}", file) + + # load the file + df = safe_load(file) + + # if column to resample over needs to be made a datetime obj, do so + if on not in df.columns: + raise Exception("Invalid column name for the timestamp") + + # resample + df = resample_dataframe( + df, + rule, + on=on, + by=by, + wind=wind, + numeric_how=numeric_how, + nonnumeric_how=nonnumeric_how, + ) + + # save the file + logger.info("Saving file to {}", output) + if output.suffix == ".csv": + df.to_csv(output, index=False) + else: + df.to_parquet(output, index=False) diff --git a/quantaq_py/console/commands/resample.py b/quantaq_py/resample.py similarity index 82% rename from quantaq_py/console/commands/resample.py rename to quantaq_py/resample.py index 36f8e06..a65e135 100644 --- a/quantaq_py/console/commands/resample.py +++ b/quantaq_py/resample.py @@ -160,49 +160,3 @@ def resample_dataframe( len(df), len(out), rule, f" grouped by {keys}" if keys else "", ) return out - -def resample_command(file, rule, output, **kwargs): - verbose = kwargs.pop("verbose", False) - on = kwargs.pop("on", "timestamp") - by = kwargs.pop("by", None) - wind = kwargs.pop("wind", WIND_COLUMNS) - numeric_how = kwargs.pop("numeric_how", "mean") - nonnumeric_how = kwargs.pop("nonnumeric_how", "first") - - # make sure the extension is either a csv or feather format - output = Path(output) - if output.suffix not in (".csv", ".feather"): - raise InvalidFileExtension("Invalid file extension") - - save_as_csv = True if output.suffix == ".csv" else False - - # concat everything in filepath - if verbose: - click.secho("Files to read: {}".format(file), fg='green') - - # load the file - df = safe_load(file) - - # if column to resample over needs to be made a datetime obj, do so - if on not in df.columns: - raise Exception("Invalid column name for the timestamp") - - # resample - df = resample_dataframe( - df, - rule, - on=on, - by=by, - wind=wind, - numeric_how=numeric_how, - nonnumeric_how=nonnumeric_how, - ) - - # save the file - if verbose: - click.secho("Saving file to {}".format(output), fg='green') - - if save_as_csv: - df.to_csv(output) - else: - df.reset_index().to_feather(output) diff --git a/tests/test_resample.py b/tests/test_resample.py index 8573469..be5092c 100644 --- a/tests/test_resample.py +++ b/tests/test_resample.py @@ -10,8 +10,8 @@ from click.testing import CliRunner from loguru import logger -from quantaq_py.console import resample -from quantaq_py.console.commands.resample import resample_dataframe, WIND_COLUMNS +from quantaq_py.resample import resample_dataframe +from quantaq_py.cli import resample_command from quantaq_py.utilities import safe_load @@ -25,11 +25,12 @@ def tearDown(self): def test_resample_files_csv(self): runner = CliRunner() - result = runner.invoke(resample, + result = runner.invoke(resample_command, [ "-o", os.path.join(self.test_dir, "output.csv"), - "-v", + "--log-level", + "DEBUG", os.path.join(self.test_files_dir, "arisense/ref/ref.csv"), "10min", ], catch_exceptions=False @@ -58,11 +59,12 @@ def test_resample_files_csv(self): def test_resample_modulair_db(self): runner = CliRunner() - result = runner.invoke(resample, + result = runner.invoke(resample_command, [ "-o", os.path.join(self.test_dir, "output.csv"), - "-v", + "--log-level", + "DEBUG", os.path.join(self.test_files_dir, "modulair/MOD-00014-db-raw.csv"), "1h", ], catch_exceptions=False @@ -91,11 +93,12 @@ def test_resample_modulair_db(self): def test_resample_modulairpm_rawsd(self): runner = CliRunner() - result = runner.invoke(resample, + result = runner.invoke(resample_command, [ "-o", os.path.join(self.test_dir, "output.csv"), - "-v", + "--log-level", + "DEBUG", os.path.join(self.test_files_dir, "modulair-pm/MOD-PM-00001-rawsd-file1.csv"), "10min", "--on", @@ -126,11 +129,12 @@ def test_resample_modulairpm_rawsd(self): def test_resample_modulairx_rawsd(self): runner = CliRunner() - result = runner.invoke(resample, + result = runner.invoke(resample_command, [ "-o", os.path.join(self.test_dir, "output.csv"), - "-v", + "--log-level", + "DEBUG", os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file1.csv"), "10min", ], catch_exceptions=False @@ -159,11 +163,12 @@ def test_resample_modulairx_rawsd(self): def test_resample_modulairx_cloudapi(self): runner = CliRunner() - result = runner.invoke(resample, + result = runner.invoke(resample_command, [ "-o", os.path.join(self.test_dir, "output.csv"), - "-v", + "--log-level", + "DEBUG", os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file1.csv"), "10min", ], catch_exceptions=False From 736358d7c68b12979dcf05bdf12d744c74253bca Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 1 Jul 2026 11:30:59 -0400 Subject: [PATCH 30/60] Add importable flag_dataframe() and echo_flag_table(), move flag_command to cli.py --- quantaq_py/__init__.py | 6 +++- quantaq_py/cli.py | 38 +++++++++++++++++++++++ quantaq_py/{console/commands => }/flag.py | 36 ++------------------- tests/test_flag.py | 20 +++++++++--- 4 files changed, 61 insertions(+), 39 deletions(-) rename quantaq_py/{console/commands => }/flag.py (82%) diff --git a/quantaq_py/__init__.py b/quantaq_py/__init__.py index c88597e..a32458e 100644 --- a/quantaq_py/__init__.py +++ b/quantaq_py/__init__.py @@ -1,9 +1,13 @@ from quantaq_py.concat import concat_files from quantaq_py.merge import merge_files from quantaq_py.resample import resample_dataframe +from quantaq_py.flag import flag_dataframe, echo_flag_table + __all__ = [ "concat_files", "merge_files", - "resample_dataframe" + "resample_dataframe", + "flag_dataframe", + "echo_flag_table" ] \ No newline at end of file diff --git a/quantaq_py/cli.py b/quantaq_py/cli.py index f5eb96e..2605411 100644 --- a/quantaq_py/cli.py +++ b/quantaq_py/cli.py @@ -4,6 +4,7 @@ from loguru import logger from quantaq_py import concat_files, merge_files, resample_dataframe +from quantaq_py import flag_dataframe, echo_flag_table from quantaq_py.exceptions import InvalidFileExtension from quantaq_py.log import configure_logging, LOG_LEVELS from quantaq_py.resample import WIND_COLUMNS @@ -128,3 +129,40 @@ def resample_command(file, rule, output, log_level, **kwargs): df.to_csv(output, index=False) else: df.to_parquet(output, index=False) + + +@click.command("flag") +@click.argument("file", nargs=1, type=click.Path()) +@click.option("-o", "--output", default="output.csv", help="The filepath where you would like to save the file", type=str) +@click.option("--log-level", default="INFO", + type=click.Choice(LOG_LEVELS, case_sensitive=False), + help="loguru log level (default: INFO)") +def flag_command(file, output, log_level): + configure_logging(log_level) + + # make sure the extension is either a csv or feather format + output = Path(output) + if output.suffix not in (".csv", ".feather"): + raise InvalidFileExtension("Invalid file extension") + + logger.info("File to read: {}", file) + + # load the file + df = safe_load(file) + + # flag the dataframe + logger.info("Original flag summary:") + echo_flag_table(df) + + df = flag_dataframe(df) + + logger.info("New flag summary:") + echo_flag_table(df) + + # save the file + logger.info("Saving file to {}", output) + if output.suffix == ".csv": + df.to_csv(output, index=False) + else: + df.to_parquet(output, index=False) + \ No newline at end of file diff --git a/quantaq_py/console/commands/flag.py b/quantaq_py/flag.py similarity index 82% rename from quantaq_py/console/commands/flag.py rename to quantaq_py/flag.py index 6057731..549bef6 100644 --- a/quantaq_py/console/commands/flag.py +++ b/quantaq_py/flag.py @@ -8,12 +8,11 @@ from rich.table import Table from terminaltables import SingleTable -from quantaq_py.variables import FLAG_DEFINITIONS, FLAG_CRITERIA, get_flag_criteria -from quantaq_py.variables import SUPPORTED_MODELS, SUPPORTED_SOURCES -from quantaq_py.variables import Range, Gap +from quantaq_py.exceptions import InvalidFileExtension, InvalidArgument, InvalidDeviceModel +from quantaq_py.variables import FLAG_DEFINITIONS, SUPPORTED_MODELS, SUPPORTED_SOURCES +from quantaq_py.variables import Range, Gap, get_flag_criteria from quantaq_py.utilities import determine_timestamp_column, safe_load from quantaq_py.utilities import infer_data_source, infer_data_model -from quantaq_py.exceptions import InvalidFileExtension, InvalidArgument, InvalidDeviceModel def add_flag(df, flag_name, flag_value, criterion): @@ -146,32 +145,3 @@ def flag_dataframe(df): for criterion in criteria: df = add_flag(df, flag_name, flag_value, criterion) return df - -def flag_command(file, output, **kwargs): - verbose = kwargs.pop("verbose", False) - - # make sure the extension is either a csv or feather format - output = Path(output) - if output.suffix not in (".csv", ".feather"): - raise InvalidFileExtension("Invalid file extension") - - save_as_csv = True if output.suffix == ".csv" else False - - if verbose: - click.secho("File to read: {}".format(file), fg='green') - - # load the file - df = safe_load(file) - - # flag the dataframe - df = flag_dataframe(df) - - # save the file - if verbose: - click.secho("Saving file to {}".format(output), fg='green') - - if save_as_csv: - df.to_csv(output) - else: - df.reset_index().to_feather(output) - \ No newline at end of file diff --git a/tests/test_flag.py b/tests/test_flag.py index 9c40fb4..ac5bd39 100644 --- a/tests/test_flag.py +++ b/tests/test_flag.py @@ -1,4 +1,5 @@ import unittest +from unittest import result from click.testing import CliRunner from os import path from pathlib import Path @@ -6,7 +7,7 @@ import shutil, tempfile import pandas as pd -from quantaq_py.console import flag +from quantaq_py.cli import flag_command class SetupTestCase(unittest.TestCase): def setUp(self): @@ -18,11 +19,12 @@ def tearDown(self): def test_flag_files_modulair_db(self): runner = CliRunner() - result = runner.invoke(flag, + result = runner.invoke(flag_command, [ "-o", os.path.join(self.test_dir, "output.csv"), - "-v", + "--log-level", + "DEBUG", os.path.join(self.test_files_dir, "modulair/MOD-00014-db-raw.csv"), ], catch_exceptions=False ) @@ -33,6 +35,9 @@ def test_flag_files_modulair_db(self): # did it output the correct text? self.assertTrue("File to read" in result.output) + # check that flag summary table printed twice — once before flagging, once after + self.assertEqual(result.output.count("# OCCURENCES"), 2) + # make sure the file exists p = Path(self.test_dir + "/output.csv") self.assertTrue(p.exists()) @@ -41,6 +46,7 @@ def test_flag_files_modulair_db(self): self.assertEqual(p.suffix, ".csv") #def test_flag_files_modulairx_rawsd(self): + # NOTE: not currently implemented # runner = CliRunner() # result = runner.invoke(flag, # [ @@ -68,11 +74,12 @@ def test_flag_files_modulair_db(self): def test_flag_files_modulairx_cloudapi(self): runner = CliRunner() - result = runner.invoke(flag, + result = runner.invoke(flag_command, [ "-o", os.path.join(self.test_dir, "output.csv"), - "-v", + "--log-level", + "DEBUG", os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file1.csv"), ], catch_exceptions=False ) @@ -83,6 +90,9 @@ def test_flag_files_modulairx_cloudapi(self): # did it output the correct text? self.assertTrue("File to read" in result.output) + # check that flag summary table printed twice — once before flagging, once after + self.assertEqual(result.output.count("# OCCURENCES"), 2) + # make sure the file exists p = Path(self.test_dir + "/output.csv") self.assertTrue(p.exists()) From 6db884c954287cb2edb2061cffdb9caf0b8f5894 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 1 Jul 2026 11:52:20 -0400 Subject: [PATCH 31/60] Create importable expunge_dataframe(), move expunge_command to cli.py --- quantaq_py/__init__.py | 7 ++- quantaq_py/cli.py | 41 ++++++++++++- quantaq_py/console/commands/expunge.py | 80 -------------------------- quantaq_py/expunge.py | 34 +++++++++++ tests/test_expunge.py | 39 +++++++------ 5 files changed, 98 insertions(+), 103 deletions(-) delete mode 100644 quantaq_py/console/commands/expunge.py create mode 100644 quantaq_py/expunge.py diff --git a/quantaq_py/__init__.py b/quantaq_py/__init__.py index a32458e..6b309ae 100644 --- a/quantaq_py/__init__.py +++ b/quantaq_py/__init__.py @@ -1,7 +1,8 @@ from quantaq_py.concat import concat_files from quantaq_py.merge import merge_files from quantaq_py.resample import resample_dataframe -from quantaq_py.flag import flag_dataframe, echo_flag_table +from quantaq_py.flag import flag_dataframe, echo_flag_table, flag_summary +from quantaq_py.expunge import expunge_dataframe __all__ = [ @@ -9,5 +10,7 @@ "merge_files", "resample_dataframe", "flag_dataframe", - "echo_flag_table" + "echo_flag_table", + "expunge_dataframe", + "flag_summary" ] \ No newline at end of file diff --git a/quantaq_py/cli.py b/quantaq_py/cli.py index 2605411..0df1668 100644 --- a/quantaq_py/cli.py +++ b/quantaq_py/cli.py @@ -4,7 +4,7 @@ from loguru import logger from quantaq_py import concat_files, merge_files, resample_dataframe -from quantaq_py import flag_dataframe, echo_flag_table +from quantaq_py import flag_dataframe, echo_flag_table, expunge_dataframe from quantaq_py.exceptions import InvalidFileExtension from quantaq_py.log import configure_logging, LOG_LEVELS from quantaq_py.resample import WIND_COLUMNS @@ -165,4 +165,41 @@ def flag_command(file, output, log_level): df.to_csv(output, index=False) else: df.to_parquet(output, index=False) - \ No newline at end of file + + +@click.command("expunge") +@click.argument("file", nargs=1, type=click.Path()) +@click.option("-d", "--dry-run", is_flag=True, help="Print table to screen and bypass file save") +@click.option("-o", "--output", default="output.csv", help="The filepath where you would like to save the file", type=str) +@click.option("--log-level", default="INFO", + type=click.Choice(LOG_LEVELS, case_sensitive=False), + help="loguru log level (default: INFO)") +def expunge_command(file, output, log_level, dry_run): + + configure_logging(log_level) + + output = Path(output) + if output.suffix not in (".csv", ".feather"): + raise InvalidFileExtension("Invalid file extension") + + logger.info("Expunging data for {}", file) + + df = safe_load(file) + show_summary = dry_run or log_level == "INFO" + + if show_summary: + logger.info("Original flag summary:") + echo_flag_table(df) + + df_expunged = expunge_dataframe(df) + + if show_summary: + logger.info("New flag summary:") + echo_flag_table(df_expunged) + + if not dry_run: + logger.info("Saving file to {}", output) + if output.suffix == ".csv": + df_expunged.to_csv(output, index=False) + else: + df_expunged.to_parquet(output, index=False) diff --git a/quantaq_py/console/commands/expunge.py b/quantaq_py/console/commands/expunge.py deleted file mode 100644 index 1e3fcb8..0000000 --- a/quantaq_py/console/commands/expunge.py +++ /dev/null @@ -1,80 +0,0 @@ -from pathlib import Path - -import click -import numpy as np -import pandas as pd - -from quantaq_py.exceptions import InvalidFileExtension, InvalidDeviceModel -from quantaq_py.utilities import safe_load, determine_timestamp_column -from quantaq_py.variables import FLAG_DEFINITIONS, SUPPORTED_MODELS -from quantaq_py.console.commands.flag import ( - echo_flag_table -) - - -def expunge_dataframe(df): - - # get the flags (in the future, this will come from the file itself) - list_of_flags = FLAG_DEFINITIONS - - # force the flag column to be an int - df["flag"] = df["flag"].astype(int, errors='ignore') - - # Drop NaNs - df = df.dropna(how='any', subset=["flag"]) - - for label, value, cols in list_of_flags: - mask = df["flag"] & value == value - if not mask.any(): - continue - - # NaN the necessary columns - if cols == "all_columns": - tscol = determine_timestamp_column(df) - cols_to_keep = {tscol, "sn", "flag"} - cols = [c for c in df.columns if c not in cols_to_keep] - elif len(cols) > 0: - cols = [c for c in cols if c in df.columns] - - # set the mask - df.loc[mask, cols] = np.nan - - return df - -def expunge_command(file, output, **kwargs): - verbose = kwargs.pop("verbose", False) - dry_run = kwargs.pop("dry_run", False) - table = kwargs.pop("table", False) - - # make sure the extension is either a csv or feather format - output = Path(output) - if output.suffix not in (".csv", ".feather"): - raise InvalidFileExtension("Invalid file extension") - - save_as_csv = True if output.suffix == ".csv" else False - - # concat everything in filepath - if verbose: - click.secho("File to read: {}".format(file), fg='green') - - # load the file - df = safe_load(file) - - # expunge - if verbose: - click.echo("Expunging data for {}".format(file)) - - df = expunge_dataframe(df) - - if dry_run or verbose: - echo_flag_table(df) - - # save the file (if not a dry run) - if not dry_run: - if verbose: - click.secho("Saving file to {}".format(output), fg='green') - - if save_as_csv: - df.to_csv(output) - else: - df.reset_index().to_feather(output) diff --git a/quantaq_py/expunge.py b/quantaq_py/expunge.py new file mode 100644 index 0000000..d760cc3 --- /dev/null +++ b/quantaq_py/expunge.py @@ -0,0 +1,34 @@ +import numpy as np + +from quantaq_py.utilities import determine_timestamp_column +from quantaq_py.variables import FLAG_DEFINITIONS + + +def expunge_dataframe(df): + + # get the flags (in the future, this will come from the file itself) + list_of_flags = FLAG_DEFINITIONS + + # force the flag column to be an int + df["flag"] = df["flag"].astype(int, errors='ignore') + + # Drop NaNs + df = df.dropna(how='any', subset=["flag"]) + + for label, value, cols in list_of_flags: + mask = df["flag"] & value == value + if not mask.any(): + continue + + # NaN the necessary columns + if cols == "all_columns": + tscol = determine_timestamp_column(df) + cols_to_keep = {tscol, "sn", "flag"} + cols = [c for c in df.columns if c not in cols_to_keep] + elif len(cols) > 0: + cols = [c for c in cols if c in df.columns] + + # set the mask + df.loc[mask, cols] = np.nan + + return df diff --git a/tests/test_expunge.py b/tests/test_expunge.py index 47db818..ef12e3e 100644 --- a/tests/test_expunge.py +++ b/tests/test_expunge.py @@ -1,20 +1,17 @@ +import os +import shutil +import tempfile import unittest -from click.testing import CliRunner from os import path from pathlib import Path -import os -import shutil, tempfile -import pandas as pd -from pandas.testing import assert_frame_equal import numpy as np +import pandas as pd +from click.testing import CliRunner +from pandas.testing import assert_frame_equal -from quantaq_py.console import expunge -from quantaq_py.console.commands.expunge import expunge_dataframe -from quantaq_py.console.commands.flag import ( - flag_dataframe, - flag_summary, -) +from quantaq_py import expunge_dataframe, flag_summary +from quantaq_py.cli import expunge_command class SetupTestCase(unittest.TestCase): def setUp(self): @@ -26,11 +23,12 @@ def tearDown(self): def test_expunge_csv_modulairpm_rawsd(self): runner = CliRunner() - result = runner.invoke(expunge, + result = runner.invoke(expunge_command, [ "-o", os.path.join(self.test_dir, "output.csv"), - "-v", + "--log-level", + "DEBUG", os.path.join(self.test_files_dir, "modulair-pm/MOD-PM-00001-rawsd-file1.csv"), ], catch_exceptions=False ) @@ -50,11 +48,12 @@ def test_expunge_csv_modulairpm_rawsd(self): def test_expunge_csv_modulair_db(self): runner = CliRunner() - result = runner.invoke(expunge, + result = runner.invoke(expunge_command, [ "-o", os.path.join(self.test_dir, "output.csv"), - "-v", + "--log-level", + "DEBUG", os.path.join(self.test_files_dir, "modulair/MOD-00014-db-raw.csv"), ], catch_exceptions=False ) @@ -74,11 +73,12 @@ def test_expunge_csv_modulair_db(self): def test_expunge_csv_modulairx_rawsd(self): runner = CliRunner() - result = runner.invoke(expunge, + result = runner.invoke(expunge_command, [ "-o", os.path.join(self.test_dir, "output.csv"), - "-v", + "--log-level", + "DEBUG", os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file1.csv"), ], catch_exceptions=False ) @@ -98,11 +98,12 @@ def test_expunge_csv_modulairx_rawsd(self): def test_expunge_csv_modulairx_cloudapi(self): runner = CliRunner() - result = runner.invoke(expunge, + result = runner.invoke(expunge_command, [ "-o", os.path.join(self.test_dir, "output.csv"), - "-v", + "--log-level", + "DEBUG", os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file1.csv"), ], catch_exceptions=False ) From ace91019112dbcf038c1665ff39e422067c4b43e Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 1 Jul 2026 13:22:58 -0400 Subject: [PATCH 32/60] Create importable clean_file(), move clean_command to cli.py --- quantaq_py/__init__.py | 6 +- quantaq_py/cli.py | 28 +++- quantaq_py/console/commands/munge.py | 111 --------------- quantaq_py/munge.py | 203 +++++++++++++++++++++++++++ tests/test_clean.py | 11 +- 5 files changed, 241 insertions(+), 118 deletions(-) delete mode 100644 quantaq_py/console/commands/munge.py create mode 100644 quantaq_py/munge.py diff --git a/quantaq_py/__init__.py b/quantaq_py/__init__.py index 6b309ae..f4bae54 100644 --- a/quantaq_py/__init__.py +++ b/quantaq_py/__init__.py @@ -3,6 +3,7 @@ from quantaq_py.resample import resample_dataframe from quantaq_py.flag import flag_dataframe, echo_flag_table, flag_summary from quantaq_py.expunge import expunge_dataframe +from quantaq_py.munge import clean_file __all__ = [ @@ -12,5 +13,6 @@ "flag_dataframe", "echo_flag_table", "expunge_dataframe", - "flag_summary" -] \ No newline at end of file + "flag_summary", + "clean_file" +] diff --git a/quantaq_py/cli.py b/quantaq_py/cli.py index 0df1668..aac2948 100644 --- a/quantaq_py/cli.py +++ b/quantaq_py/cli.py @@ -3,7 +3,7 @@ from loguru import logger -from quantaq_py import concat_files, merge_files, resample_dataframe +from quantaq_py import concat_files, merge_files, resample_dataframe, clean_file from quantaq_py import flag_dataframe, echo_flag_table, expunge_dataframe from quantaq_py.exceptions import InvalidFileExtension from quantaq_py.log import configure_logging, LOG_LEVELS @@ -203,3 +203,29 @@ def expunge_command(file, output, log_level, dry_run): df_expunged.to_csv(output, index=False) else: df_expunged.to_parquet(output, index=False) + + +@click.command("clean") +@click.argument("filepath", nargs=1, type=click.Path()) +@click.option("-o", "--output", default="output.csv", help="The filepath where you would like to save the file", type=str) +@click.option("--log-level", default="INFO", + type=click.Choice(LOG_LEVELS, case_sensitive=False), + help="loguru log level (default: INFO)") +def clean_command(filepath, output, log_level): + """Clean FILEPATH and save to SAVEPATH. + """ + configure_logging(log_level) + + output = Path(output) + if output.suffix not in (".csv", ".feather"): + raise InvalidFileExtension("Invalid file extension") + + logger.info("Cleaning data for {}", filepath) + df = clean_file(filepath) + + # save the file + logger.info("Saving file to {}", output) + if output.suffix == ".csv": + df.to_csv(output, index=False) + else: + df.to_parquet(output, index=False) diff --git a/quantaq_py/console/commands/munge.py b/quantaq_py/console/commands/munge.py deleted file mode 100644 index ff18c79..0000000 --- a/quantaq_py/console/commands/munge.py +++ /dev/null @@ -1,111 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- - -from pathlib import Path -import pandas as pd -import numpy as np -# import re -import click - -from ...exceptions import InvalidFileExtension - - -COLUMN_DEFINITIONS = [ - ('bin0', np.float32), - ('bin1', np.float32), - ('bin2', np.float32), - ('bin3', np.float32), - ('bin4', np.float32), - ('bin5', np.float32), - ('bin6', np.float32), - ('bin7', np.float32), - ('bin8', np.float32), - ('bin9', np.float32), - ('bin10', np.float32), - ('bin11', np.float32), - ('bin12', np.float32), - ('bin13', np.float32), - ('bin14', np.float32), - ('bin15', np.float32), - ('bin16', np.float32), - ('bin17', np.float32), - ('bin18', np.float32), - ('bin19', np.float32), - ('bin20', np.float32), - ('bin21', np.float32), - ('bin22', np.float32), - ('bin23', np.float32), - ('bin1MToF', np.float32), - ('bin3MToF', np.float32), - ('bin5MToF', np.float32), - ('bin7MToF', np.float32), - ('sample_period', np.float32), - ('sample_flow', np.float32), - ('opc_temp', np.float32), - ('opc_rh', np.float32), - ('opc_pm1', np.float32), - ('opc_pm25', np.float32), - ('opc_pm10', np.float32), - ('laser_status', np.int16), - ('pm1_std', np.float32), - ('pm25_std', np.float32), - ('pm10_std', np.float32), - ('pm1_env', np.float32), - ('pm25_env', np.float32), - ('pm10_env', np.float32), - ('neph_bin0', np.float32), - ('neph_bin1', np.float32), - ('neph_bin2', np.float32), - ('neph_bin3', np.float32), - ('neph_bin4', np.float32), - ('neph_bin5', np.float32), - ('sample_rh', np.float32), - ('sample_temp', np.float32), - ('sample_pres', np.float32), - ('fw', np.int16), - ('flag', np.int16), - ('connection_status', np.int16), - ('iteration', np.int16), -] - - -def clean_file(filepath, savepath, **kwargs): - """_summary_ - """ - # make sure the extension is csv - output = Path(savepath) - if output.suffix not in (".csv"): - raise InvalidFileExtension("Invalid file extension") - - # Load the data - df = pd.read_csv(filepath, on_bad_lines='skip', encoding='unicode_escape', low_memory=False) - - # Fix the timestamp column(s) - for c in ('timestamp', 'timestamp_local', 'timestamp_iso'): - if c in df.columns: - df[c] = pd.to_datetime(df[c], errors='coerce') - - # Set the index - for c in ('timestamp', 'timestamp_iso'): - if c in df.columns: - df = df.set_index(c) - break - - # Force everything to be numeric - df = df.apply(pd.to_numeric, errors='coerce') - - # Drop the NaNs - df = df.dropna(how='any') - - # Clean up any unneeded columns - for c in df.columns: - if "Unnamed" in c: - del df[c] - - # Reduce memory use by cleaning up all the column types - for cname, ctype in COLUMN_DEFINITIONS: - if cname in df.columns: - df[cname] = df[cname].astype(ctype) - - # Save the file - df.to_csv(savepath) diff --git a/quantaq_py/munge.py b/quantaq_py/munge.py new file mode 100644 index 0000000..2b7f588 --- /dev/null +++ b/quantaq_py/munge.py @@ -0,0 +1,203 @@ +import numpy as np +from pathlib import Path +import pandas as pd + +from quantaq_py.exceptions import InvalidFileExtension +from quantaq_py.utilities import safe_load, determine_timestamp_column + + +COLUMN_DEFINITIONS = [ + # --- OPC colunms --- + ('bin0', np.float32), + ('bin1', np.float32), + ('bin2', np.float32), + ('bin3', np.float32), + ('bin4', np.float32), + ('bin5', np.float32), + ('bin6', np.float32), + ('bin7', np.float32), + ('bin8', np.float32), + ('bin9', np.float32), + ('bin10', np.float32), + ('bin11', np.float32), + ('bin12', np.float32), + ('bin13', np.float32), + ('bin14', np.float32), + ('bin15', np.float32), + ('bin16', np.float32), + ('bin17', np.float32), + ('bin18', np.float32), + ('bin19', np.float32), + ('bin20', np.float32), + ('bin21', np.float32), + ('bin22', np.float32), + ('bin23', np.float32), + ('opc.bin0', np.float32), + ('opc.bin1', np.float32), + ('opc.bin2', np.float32), + ('opc.bin3', np.float32), + ('opc.bin4', np.float32), + ('opc.bin5', np.float32), + ('opc.bin6', np.float32), + ('opc.bin7', np.float32), + ('opc.bin8', np.float32), + ('opc.bin9', np.float32), + ('opc.bin10', np.float32), + ('opc.bin11', np.float32), + ('opc.bin12', np.float32), + ('opc.bin13', np.float32), + ('opc.bin14', np.float32), + ('opc.bin15', np.float32), + ('opc.bin16', np.float32), + ('opc.bin17', np.float32), + ('opc.bin18', np.float32), + ('opc.bin19', np.float32), + ('opc.bin20', np.float32), + ('opc.bin21', np.float32), + ('opc.bin22', np.float32), + ('opc.bin23', np.float32), + ('bin1MToF', np.float32), + ('bin3MToF', np.float32), + ('bin5MToF', np.float32), + ('bin7MToF', np.float32), + ('sample_period', np.float32), + ('opc_sample_period', np.float32), + ('sample_flow', np.float32), + ('opc_sample_flow', np.float32), + ('opc_temp', np.float32), + ('opc_rh', np.float32), + ('opc_pm1', np.float32), + ('opc_pm25', np.float32), + ('opc_pm10', np.float32), + ('opcn3_pm1', np.float32), + ('opcn3_pm25', np.float32), + ('opcn3_pm10', np.float32), + ('laser_status', np.int16), + ('opc_laser_status', np.int16), + + # --- Nephelometer columns --- + ('pm1_std', np.float32), + ('pm25_std', np.float32), + ('pm10_std', np.float32), + ('pm1_env', np.float32), + ('pm25_env', np.float32), + ('pm10_env', np.float32), + ('neph_pm1_std', np.float32), + ('neph_pm25_std', np.float32), + ('neph_pm10_std', np.float32), + ('neph_pm1_env', np.float32), + ('neph_pm25_env', np.float32), + ('neph_pm10_env', np.float32), + ('neph_bin0', np.float32), + ('neph_bin1', np.float32), + ('neph_bin2', np.float32), + ('neph_bin3', np.float32), + ('neph_bin4', np.float32), + ('neph_bin5', np.float32), + + # --- RH / Temp / Pressure columns --- + ('sample_rh', np.float32), + ('sample_temp', np.float32), + ('sample_pres', np.float32), + ('rh', np.float32), + ('temp', np.float32), + + # --- CO columns --- + ('co', np.float32), + ('co_we', np.float32), + ('co_ae', np.float32), + ('co_diff', np.float32), + ('gases.co.we', np.float32), + ('gases.co.ae', np.float32), + ('gases.co.diff', np.float32), + + # --- NO columns --- + ('no', np.float32), + ('no_we', np.float32), + ('no_ae', np.float32), + ('no_diff', np.float32), + ('gases.no.we', np.float32), + ('gases.no.ae', np.float32), + ('gases.no.diff', np.float32), + + # --- NO2 columns --- + ('no2', np.float32), + ('no2_we', np.float32), + ('no2_ae', np.float32), + ('no2_diff', np.float32), + ('gases.no2.we', np.float32), + ('gases.no2.ae', np.float32), + ('gases.no2.diff', np.float32), + + # --- O3 columns --- + ('o3', np.float32), + ('ox_we', np.float32), + ('ox_ae', np.float32), + ('ox_diff', np.float32), + ('o3_we', np.float32), + ('o3_ae', np.float32), + ('o3_diff', np.float32), + ('gases.o3.we', np.float32), + ('gases.o3.ae', np.float32), + ('gases.o3.diff', np.float32), + + # --- CO2 columns --- + ('co2_raw', np.float32), + ('co2', np.float32), + + # --- SO2 columns --- + ('so2_we', np.float32), + ('so2_ae', np.float32), + ('so2_diff', np.float32), + ('so2', np.float32), + + # --- H2S columns --- + ('h2s_we', np.float32), + ('h2s_ae', np.float32), + ('h2s_diff', np.float32), + ('h2s', np.float32), + + # --- Battery columns --- + ('bat_voltage', np.float32), + ('soc', np.float32), + ('vbat', np.float32), + + # --- Device / metadata columns --- + ('fw', np.int16), + ('flag', np.int16), + ('connection_status', np.int16), + ('iteration', np.int16), +] + + +def clean_file(filepath): + """Load a file, clean it, and save to csv. + + Removes corrupt data and force columns to be the + desired column type based on the specific column. + """ + # Load the data + df = safe_load(filepath) + + # Fix the timestamp column(s) + for c in ('timestamp', 'timestamp_local', 'timestamp_iso'): + if c in df.columns: + df[c] = pd.to_datetime(df[c], errors='coerce') + + # Set the index + tscol = determine_timestamp_column(df) + df = df.set_index(tscol) + + # Force everything to be numeric + df = df.apply(pd.to_numeric, errors='coerce') + + # Drop the NaNs + #df = df.dropna(how='any') # drop rows if ANY column is nan + df = df.dropna(how='all') # drop rows if EVERY column is nan + + # Reduce memory use by cleaning up all the column types + for cname, ctype in COLUMN_DEFINITIONS: + if cname in df.columns: + df[cname] = df[cname].astype(ctype) + + return df diff --git a/tests/test_clean.py b/tests/test_clean.py index 59a81ce..ab539b6 100644 --- a/tests/test_clean.py +++ b/tests/test_clean.py @@ -6,7 +6,7 @@ import shutil, tempfile import pandas as pd -from quantaq_py.console import clean +from quantaq_py.cli import clean_command class SetupTestCase(unittest.TestCase): @@ -19,9 +19,10 @@ def tearDown(self): def test_clean_file_arisense_db(self): runner = CliRunner() - result = runner.invoke(clean, + result = runner.invoke(clean_command, [ os.path.join(self.test_files_dir, "arisense/SN000-063-db-file1.csv"), + "-o", os.path.join(self.test_dir, "output.csv"), ], catch_exceptions=False @@ -39,9 +40,10 @@ def test_clean_file_arisense_db(self): def test_clean_file_modulairpm_rawsd(self): runner = CliRunner() - result = runner.invoke(clean, + result = runner.invoke(clean_command, [ os.path.join(self.test_files_dir, "modulair-pm/MOD-PM-00001-rawsd-file1.csv"), + "-o", os.path.join(self.test_dir, "output.csv"), ], catch_exceptions=False @@ -59,9 +61,10 @@ def test_clean_file_modulairpm_rawsd(self): def test_clean_file_modulairx_cloudapi(self): runner = CliRunner() - result = runner.invoke(clean, + result = runner.invoke(clean_command, [ os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file1.csv"), + "-o", os.path.join(self.test_dir, "output.csv"), ], catch_exceptions=False From 134f7b0ed3ed7e003a31124e8678f6170e4d81c5 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 1 Jul 2026 13:44:45 -0400 Subject: [PATCH 33/60] Remove feather functionality for parquet --- quantaq_py/utilities.py | 51 ++++++++++++++++++++--------------------- 1 file changed, 25 insertions(+), 26 deletions(-) diff --git a/quantaq_py/utilities.py b/quantaq_py/utilities.py index 920de06..136e0e7 100644 --- a/quantaq_py/utilities.py +++ b/quantaq_py/utilities.py @@ -32,16 +32,17 @@ def infer_data_source(df): logger.info("Reading 5-sec data --> inferring rawSD") return "rawsd" else: - logger.debug(f"Unrecognized sampling intervals: {sorted(tdiffs)}") + logger.error(f"Unrecognized sampling intervals: {sorted(tdiffs)}") raise NotImplementedError def infer_data_model(df): + if "sn" not in df.columns: + logger.error("No serial number column found in dataframe, set `add_sn_column=True` when calling `safe_load`.") + raise ValueError sn_array = df['sn'].unique() if len(sn_array) > 1: - logger.debug(f"Found {len(sn_array)} unique serial numbers: {sn_array}") - raise ValueError( - f"More than one unique serial number found in dataframe: {sn_array}" - ) + logger.error(f"Found {len(sn_array)} unique serial numbers: {sn_array}") + raise ValueError device_sn = sn_array.item() device_model = sn_to_model(device_sn) return device_model @@ -56,39 +57,37 @@ def sn_to_model(device_sn): prefix, _, _ = device_sn.rpartition("-") return prefix.lower().replace("mod", "modulair", 1) -def safe_load(fpath, **kwargs): - """Load and return a file - - TO DO: replace feather functionality with parquet (will do as part of sc-20240) - also note that pd.read_feather doesn't take a skiprows option - """ +def safe_load(fpath, add_sn_column=False): + """Load a CSV or parquet file""" + p = Path(fpath) if p.suffix == ".csv": as_csv = True - elif p.suffix == ".feather": + elif p.suffix == ".parquet": as_csv = False else: raise InvalidFileExtension - tmp = pd.read_csv(fpath, nrows=1, header=None) if as_csv else pd.read_feather(fpath) + tmp = pd.read_csv(fpath, nrows=1, header=None) if as_csv else pd.read_parquet(fpath) - if tmp.iloc[0, 0] == "deviceModel": # hack to deal with modulair format + if as_csv and tmp.iloc[0, 0] == "deviceModel": # hack to deal with modulair format logger.info("Reading rawSD card data {}", fpath) - # Grab the serial number from the header - tmp2 = pd.read_csv(fpath, nrows=3, header=None) - serial_number = tmp2.iloc[2, 1] - - # Add the sn as a column - tmp = pd.read_csv(fpath, skiprows=3) if as_csv else pd.read_feather(fpath, skiprows=3) - tmp['sn'] = serial_number - logger.info("Added serial number {} to column `sn` ", serial_number) + tmp = pd.read_csv(fpath, skiprows=3) + + # Optionally add the sn as a column (required for flagging rawSD data) + if add_sn_column: + # Grab the serial number from the header + tmp2 = pd.read_csv(fpath, nrows=3, header=None) + serial_number = tmp2.iloc[2, 1] + tmp['sn'] = serial_number + logger.info("Added serial number {} to column `sn` ", serial_number) - elif tmp.shape[1] == 2: # hack to deal with bad header format - tmp = pd.read_csv(fpath, skiprows=1) if as_csv else pd.read_feather(fpath, skiprows=1) - else: - tmp = pd.read_csv(fpath) if as_csv else pd.read_feather(fpath) + elif as_csv and tmp.shape[1] == 2: # hack to deal with bad header format + tmp = pd.read_csv(fpath, skiprows=1) + elif as_csv: + tmp = pd.read_csv(fpath) # drop the extra column if it was added unnamed = [c for c in tmp.columns if str(c).startswith("Unnamed:")] From 63fee0d6c4a805d5369ae9f5dca9be64dee486a2 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 1 Jul 2026 13:45:07 -0400 Subject: [PATCH 34/60] Make add_sn_column an optional arg --- quantaq_py/cli.py | 4 ++-- tests/test_flag.py | 4 +--- tests/test_merge.py | 2 -- tests/test_utilities.py | 2 +- 4 files changed, 4 insertions(+), 8 deletions(-) diff --git a/quantaq_py/cli.py b/quantaq_py/cli.py index aac2948..c014712 100644 --- a/quantaq_py/cli.py +++ b/quantaq_py/cli.py @@ -147,8 +147,8 @@ def flag_command(file, output, log_level): logger.info("File to read: {}", file) - # load the file - df = safe_load(file) + # load the file -- add the sn column if its a rawSD file + df = safe_load(file, add_sn_column=True) # flag the dataframe logger.info("Original flag summary:") diff --git a/tests/test_flag.py b/tests/test_flag.py index ac5bd39..ce626b2 100644 --- a/tests/test_flag.py +++ b/tests/test_flag.py @@ -48,14 +48,12 @@ def test_flag_files_modulair_db(self): #def test_flag_files_modulairx_rawsd(self): # NOTE: not currently implemented # runner = CliRunner() - # result = runner.invoke(flag, + # result = runner.invoke(flag_command, # [ # "-o", # os.path.join(self.test_dir, "output.csv"), # "-v", # os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file1.csv"), - # "modulair-x", - # "rawsd" # ], catch_exceptions=False # ) diff --git a/tests/test_merge.py b/tests/test_merge.py index 699328f..6ca3406 100644 --- a/tests/test_merge.py +++ b/tests/test_merge.py @@ -123,7 +123,6 @@ def test_merge_files_modulairx_rawsd(self): df2 = safe_load(os.path.join(self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file2.csv")) df3 = safe_load(os.path.join(self.test_dir, "output.csv")) - print(df1.shape[1], df2.shape[1], df3.shape[1], flush=True) self.assertEqual(df1.shape[1] + df2.shape[1] - 1, df3.shape[1]) def test_merge_files_modulairx_cloudapi(self): @@ -158,6 +157,5 @@ def test_merge_files_modulairx_cloudapi(self): df2 = safe_load(os.path.join(self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file2.csv")) df3 = safe_load(os.path.join(self.test_dir, "output.csv")) - print(df1.shape[1], df2.shape[1], df3.shape[1], flush=True) self.assertEqual(df1.shape[1] + df2.shape[1] - 1, df3.shape[1]) \ No newline at end of file diff --git a/tests/test_utilities.py b/tests/test_utilities.py index 7c7e7c9..6a74212 100644 --- a/tests/test_utilities.py +++ b/tests/test_utilities.py @@ -32,7 +32,7 @@ def test_infer_data_model(self): self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file1.csv" ) expected = "modulair-x" - df = safe_load(file) + df = safe_load(file, add_sn_column=True) result = infer_data_model(df) self.assertEqual(result, expected) From ee78d7f207ecea2cc38fa06a17f25412beeb610d Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 1 Jul 2026 13:59:58 -0400 Subject: [PATCH 35/60] Remove console/commands sub-dirs --- pyproject.toml | 2 +- quantaq_py/cli.py | 25 ++++- quantaq_py/console/__init__.py | 118 ------------------------ quantaq_py/console/commands/__init__.py | 0 4 files changed, 25 insertions(+), 120 deletions(-) delete mode 100644 quantaq_py/console/__init__.py delete mode 100644 quantaq_py/console/commands/__init__.py diff --git a/pyproject.toml b/pyproject.toml index 0a73170..e38a9d7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -33,7 +33,7 @@ sphinx-rtd-theme = "^2.0" setuptools = "^65.6.3" [tool.poetry.scripts] -quantaq-py = "quantaq_py.console:main" +quantaq-py = "quantaq_py.cli:main" [build-system] requires = ["poetry-core>=1.0.0"] diff --git a/quantaq_py/cli.py b/quantaq_py/cli.py index c014712..723ed4b 100644 --- a/quantaq_py/cli.py +++ b/quantaq_py/cli.py @@ -1,6 +1,7 @@ from pathlib import Path -import click +import pkg_resources +import rich_click as click from loguru import logger from quantaq_py import concat_files, merge_files, resample_dataframe, clean_file @@ -9,6 +10,20 @@ from quantaq_py.log import configure_logging, LOG_LEVELS from quantaq_py.resample import WIND_COLUMNS from quantaq_py.utilities import safe_load +from quantaq_py.variables import SUPPORTED_MODELS, SUPPORTED_SOURCES + + +CONTEXT_SETTINGS = dict(help_option_names=['-h', '--help']) + +__version__ = pkg_resources.get_distribution('quantaq_py').version + + +@click.group(context_settings=CONTEXT_SETTINGS) +@click.version_option(__version__) +@click.pass_context +def main(ctx): + pass + @click.command("concat") @@ -229,3 +244,11 @@ def clean_command(filepath, output, log_level): df.to_csv(output, index=False) else: df.to_parquet(output, index=False) + +# add the commands one-by-one +main.add_command(concat_command) +main.add_command(merge_command) +main.add_command(resample_command) +main.add_command(expunge_command) +main.add_command(flag_command) +main.add_command(clean_command) diff --git a/quantaq_py/console/__init__.py b/quantaq_py/console/__init__.py deleted file mode 100644 index 931848e..0000000 --- a/quantaq_py/console/__init__.py +++ /dev/null @@ -1,118 +0,0 @@ -import pkg_resources -import rich_click as click -from quantaq_py.variables import SUPPORTED_MODELS, SUPPORTED_SOURCES - -CONTEXT_SETTINGS = dict(help_option_names=['-h', '--help']) - -__version__ = pkg_resources.get_distribution('quantaq_cli').version - - -@click.group(context_settings=CONTEXT_SETTINGS) -@click.version_option(__version__) -@click.pass_context -def main(ctx): - pass - - -@click.command("concat", short_help="concatenate files together") -@click.argument("files", nargs=-1, type=click.Path()) -@click.option("-o", "--output", default="output.csv", help="The filepath where you would like to save the file", type=str) -@click.option("-v", "--verbose", is_flag=True, help="Enable verbose mode (debugging)") -@click.option("-l", "--logs", is_flag=True, help="Parse and save locally-saved log files.") -def concat(files, output, verbose, logs, **kwargs): - """Concatenate FILES together and save to OUTPUT. - - FILES is the collection or list of files that you are concatenating together. They - can be provided as a list or by using a wildcard and providing the path with wildcard. - """ - from .commands.concat import concat_command, concat_logs_command - - if not logs: - concat_command(files, output, verbose=verbose, **kwargs) - else: - concat_logs_command(files, output, verbose=verbose, **kwargs) - - -@click.command("merge", short_help="merge two files together on their timestamp") -@click.argument("files", nargs=-1, type=click.Path()) -@click.option("-ts", "--tscol", default="timestamp_iso", help="The column by which to join the files", type=str) -@click.option("-o", "--output", default="output.csv", help="The filepath where you would like to save the file", type=str) -@click.option("-v", "--verbose", is_flag=True, help="Enable verbose mode (debugging)") -def merge(files, tscol, output, verbose, **kwargs): - """Merge FILES together and save to OUTPUT. - """ - from .commands.merge import merge_command - - merge_command(files, output, tscol=tscol, verbose=verbose, **kwargs) - - -@click.command("resample", short_help="up/down sample data") -@click.argument("file", nargs=1, type=click.Path()) -@click.argument("rule", nargs=1, type=str) -@click.option("-o", "--output", default="output.csv", help="The filepath where you would like to save the file", type=str) -@click.option("--on", default="timestamp", help="Name of the datetime column to resample over.", type=str) -@click.option("--by", default=None, help="Optional column(s) to group by first") -@click.option( - "--wind", - nargs=4, - type=str, - default=("wx_u", "wx_v", "wx_ws", "wx_wd"), - help="(u, v, speed, direction) column names", -) -@click.option("--numeric_how", default="mean", help="Aggregation for numeric columns.") -@click.option("--nonnumeric_how", default="first", help="Aggregation for non-numeric columns.") -@click.option("-v", "--verbose", is_flag=True, help="Enable verbose mode (debugging)") -def resample(file, rule, output, verbose, **kwargs): - """Resample FILE at INTERVAL and save to OUTPUT. - """ - from .commands.resample import resample_command - - resample_command(file, rule, output, verbose=verbose, **kwargs) - - -@click.command("expunge", short_help="NaN flagged values") -@click.argument("file", nargs=1, type=click.Path()) -@click.option("-d", "--dry-run", is_flag=True, help="Print table to screen and bypass file save") -@click.option("-t", "--table", is_flag=True, help="Print as a dict instead of as a table") -@click.option("-o", "--output", default="output.csv", help="The filepath where you would like to save the file", type=str) -@click.option("-v", "--verbose", is_flag=True, help="Enable verbose mode (debugging)") -def expunge(file, dry_run, table, output, verbose): - """Expunge (NaN flagged values) FILE and save to OUTPUT. - """ - from .commands.expunge import expunge_command - - expunge_command(file, output, dry_run=dry_run, verbose=verbose, table=table) - - -@click.command("flag", short_help="flag data based on specific criteria") -@click.argument("file", nargs=1, type=click.Path()) -@click.option("-o", "--output", default="output.csv", help="The filepath where you would like to save the file", type=str) -@click.option("-v", "--verbose", is_flag=True, help="Enable verbose mode (debugging)") -def flag(file, output, verbose): - """Reflag a data file""" - from .commands.flag import flag_command - - flag_command(file, output, verbose=verbose) - - -@click.command("clean") -@click.argument("filepath", nargs=1, type=click.Path()) -@click.argument("savepath", nargs=1, type=click.Path()) -def clean(filepath, savepath, **kwargs): - """Clean FILEPATH and save to SAVEPATH. - - Remove corrupt data and force columns to be the - desired column type based on the specific column. - """ - from .commands.munge import clean_file - - clean_file(filepath, savepath, **kwargs) - - -# add the commands one-by-one -main.add_command(concat) -main.add_command(merge) -main.add_command(resample) -main.add_command(expunge) -main.add_command(flag) -main.add_command(clean) \ No newline at end of file diff --git a/quantaq_py/console/commands/__init__.py b/quantaq_py/console/commands/__init__.py deleted file mode 100644 index e69de29..0000000 From 4f332ba7e5fda211dbd9b478ed63b05464808ba3 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 1 Jul 2026 16:42:44 -0400 Subject: [PATCH 36/60] Add tests for parquet file support --- quantaq_py/cli.py | 18 ++++----- quantaq_py/flag.py | 5 +++ quantaq_py/merge.py | 1 + .../MOD-00256-db-cleaned-file1.parquet | Bin 0 -> 3436768 bytes .../MOD-00256-db-cleaned-file2.parquet | Bin 0 -> 16561 bytes tests/files/modulair/MOD-00256-db-raw.parquet | Bin 0 -> 3436768 bytes .../modulair/ref/bos_roxbury-cleaned.parquet | Bin 0 -> 830263 bytes tests/test_clean.py | 22 ++++++++++- tests/test_concat.py | 30 +++++++++++++++ tests/test_expunge.py | 27 ++++++++++++- tests/test_flag.py | 28 ++++++++++++++ tests/test_merge.py | 36 +++++++++++++++++- tests/test_resample.py | 34 +++++++++++++++++ tests/test_utilities.py | 3 ++ 14 files changed, 191 insertions(+), 13 deletions(-) create mode 100644 tests/files/modulair/MOD-00256-db-cleaned-file1.parquet create mode 100644 tests/files/modulair/MOD-00256-db-cleaned-file2.parquet create mode 100644 tests/files/modulair/MOD-00256-db-raw.parquet create mode 100644 tests/files/modulair/ref/bos_roxbury-cleaned.parquet diff --git a/quantaq_py/cli.py b/quantaq_py/cli.py index 723ed4b..58be240 100644 --- a/quantaq_py/cli.py +++ b/quantaq_py/cli.py @@ -79,11 +79,9 @@ def merge_command(files, output, tscol, log_level): # save the file logger.info("Saving file to {}", output) if output.suffix == ".csv": - # index=True is needed to preserve the timestamp column after merge - df.to_csv(output, index=True) + df.to_csv(output, index=False) else: - # index=True is needed to preserve the timestamp column after merge - df.to_parquet(output, index=True) + df.to_parquet(output, index=False) @click.command("resample", short_help="up/down sample data") @@ -113,9 +111,9 @@ def resample_command(file, rule, output, log_level, **kwargs): numeric_how = kwargs.pop("numeric_how", "mean") nonnumeric_how = kwargs.pop("nonnumeric_how", "first") - # make sure the extension is either a csv or feather format + # make sure the extension is either a csv or parquet format output = Path(output) - if output.suffix not in (".csv", ".feather"): + if output.suffix not in (".csv", ".parquet"): raise InvalidFileExtension("Invalid file extension") logger.info("File to read: {}", file) @@ -155,9 +153,9 @@ def resample_command(file, rule, output, log_level, **kwargs): def flag_command(file, output, log_level): configure_logging(log_level) - # make sure the extension is either a csv or feather format + # make sure the extension is either a csv or parquet format output = Path(output) - if output.suffix not in (".csv", ".feather"): + if output.suffix not in (".csv", ".parquet"): raise InvalidFileExtension("Invalid file extension") logger.info("File to read: {}", file) @@ -194,7 +192,7 @@ def expunge_command(file, output, log_level, dry_run): configure_logging(log_level) output = Path(output) - if output.suffix not in (".csv", ".feather"): + if output.suffix not in (".csv", ".parquet"): raise InvalidFileExtension("Invalid file extension") logger.info("Expunging data for {}", file) @@ -232,7 +230,7 @@ def clean_command(filepath, output, log_level): configure_logging(log_level) output = Path(output) - if output.suffix not in (".csv", ".feather"): + if output.suffix not in (".csv", ".parquet"): raise InvalidFileExtension("Invalid file extension") logger.info("Cleaning data for {}", filepath) diff --git a/quantaq_py/flag.py b/quantaq_py/flag.py index 549bef6..dca6a90 100644 --- a/quantaq_py/flag.py +++ b/quantaq_py/flag.py @@ -74,6 +74,11 @@ def flag_summary(df): TO DO: move this to flag.py after merging sc-20242 """ + + # create flag column if it doesn't exist + if "flag" not in df.columns: + df["flag"] = 0 + # force the flag column to be an int df["flag"] = df["flag"].astype(int, errors='ignore') diff --git a/quantaq_py/merge.py b/quantaq_py/merge.py index bf3249c..74bef79 100644 --- a/quantaq_py/merge.py +++ b/quantaq_py/merge.py @@ -42,4 +42,5 @@ def merge_files(files, tscol="timestamp"): # merge with the other files df = pd.merge(df, tmp, left_index=True, right_index=True, how='outer') + df = df.reset_index() # bring timestamp back as a column named `tscol` return df diff --git a/tests/files/modulair/MOD-00256-db-cleaned-file1.parquet b/tests/files/modulair/MOD-00256-db-cleaned-file1.parquet new file mode 100644 index 0000000000000000000000000000000000000000..b8e7cd75caf558f92b6701968b3aad3bc8569db9 GIT binary patch literal 3436768 zcmZ6U1z45M+O|FCP!E|SKQbpFJLH1gNWX%}3WRb{9?Bwp z3nLQ~5Tnm8I@ol3b-Sm6hl5DJceiR6nVb{@&Vx<=$j9bCrTkt5l+K#IEkEF z205EB59Yvp%OfWfroco9Lbk1lY)5Dh9iSt!U}a=cLLn#&MUd&L 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+79,24 @@ def test_clean_file_modulairx_cloudapi(self): # is it a csv? self.assertEqual(p.suffix, ".csv") - \ No newline at end of file + + def test_clean_file_modulair_db_parquet(self): + runner = CliRunner() + result = runner.invoke(clean_command, + [ + os.path.join(self.test_files_dir, "modulair/MOD-00256-db-raw.parquet"), + "-o", + os.path.join(self.test_dir, "output.parquet"), + ], + catch_exceptions=False + ) + + # did it succeed? + self.assertEqual(result.exit_code, 0) + + # make sure the file exists + p = Path(self.test_dir + "/output.parquet") + self.assertTrue(p.exists()) + + # is it a parquet? + self.assertEqual(p.suffix, ".parquet") diff --git a/tests/test_concat.py b/tests/test_concat.py index af1fc2a..936e47f 100644 --- a/tests/test_concat.py +++ b/tests/test_concat.py @@ -144,3 +144,33 @@ def test_concat_files_modulairx_cloudapi(self): df3 = safe_load(os.path.join(self.test_dir, "output.csv")) self.assertEqual(df1.shape[0] + df2.shape[0], df3.shape[0]) + + def test_concat_files_modulair_db_parquet(self): + runner = CliRunner() + result = runner.invoke(concat_command, + [ + "-o", + os.path.join(self.test_dir, "output.parquet"), + "--log-level", + "DEBUG", + os.path.join(self.test_files_dir, "modulair/MOD-00256-db-cleaned-file1.parquet"), + os.path.join(self.test_files_dir, "modulair/MOD-00256-db-cleaned-file2.parquet"), + ], catch_exceptions=False + ) + + # did it succeed? + self.assertEqual(result.exit_code, 0) + + # make sure the file exists + p = Path(self.test_dir + "/output.parquet") + self.assertTrue(p.exists()) + + # is it a parquet? + self.assertEqual(p.suffix, ".parquet") + + # are the number of lines correct? + df1 = safe_load(os.path.join(self.test_files_dir, "modulair/MOD-00256-db-cleaned-file1.parquet")) + df2 = safe_load(os.path.join(self.test_files_dir, "modulair/MOD-00256-db-cleaned-file2.parquet")) + df3 = safe_load(os.path.join(self.test_dir, "output.parquet")) + + self.assertEqual(df1.shape[0] + df2.shape[0], df3.shape[0]) diff --git a/tests/test_expunge.py b/tests/test_expunge.py index ef12e3e..7e6d1ff 100644 --- a/tests/test_expunge.py +++ b/tests/test_expunge.py @@ -5,9 +5,9 @@ from os import path from pathlib import Path +from click.testing import CliRunner import numpy as np import pandas as pd -from click.testing import CliRunner from pandas.testing import assert_frame_equal from quantaq_py import expunge_dataframe, flag_summary @@ -315,3 +315,28 @@ def test_flag_summary_basic(): expected.index.name = "FLAG" assert_frame_equal(summary.sort_index(), expected.sort_index()) + + def test_expunge_modulair_db_parquet(self): + runner = CliRunner() + result = runner.invoke(expunge_command, + [ + "-o", + os.path.join(self.test_dir, "output.parquet"), + "--log-level", + "DEBUG", + os.path.join(self.test_files_dir, "modulair/MOD-00256-db-raw.parquet"), + ], catch_exceptions=False + ) + + # did it succeed? + self.assertEqual(result.exit_code, 0) + + # did it output the correct text? + self.assertTrue("Saving file" in result.output) + + # make sure the file exists + p = Path(self.test_dir + "/output.parquet") + self.assertTrue(p.exists()) + + # is it a csv? + self.assertEqual(p.suffix, ".parquet") diff --git a/tests/test_flag.py b/tests/test_flag.py index ce626b2..3602b72 100644 --- a/tests/test_flag.py +++ b/tests/test_flag.py @@ -97,3 +97,31 @@ def test_flag_files_modulairx_cloudapi(self): # is it a csv? self.assertEqual(p.suffix, ".csv") + + def test_flag_files_modulair_db_parquet(self): + runner = CliRunner() + result = runner.invoke(flag_command, + [ + "-o", + os.path.join(self.test_dir, "output.parquet"), + "--log-level", + "DEBUG", + os.path.join(self.test_files_dir, "modulair/MOD-00256-db-raw.parquet"), + ], catch_exceptions=False + ) + + # did it succeed? + self.assertEqual(result.exit_code, 0) + + # did it output the correct text? + self.assertTrue("File to read" in result.output) + + # check that flag summary table printed twice — once before flagging, once after + self.assertEqual(result.output.count("# OCCURENCES"), 2) + + # make sure the file exists + p = Path(self.test_dir + "/output.parquet") + self.assertTrue(p.exists()) + + # is it a parquet? + self.assertEqual(p.suffix, ".parquet") diff --git a/tests/test_merge.py b/tests/test_merge.py index 6ca3406..684fe62 100644 --- a/tests/test_merge.py +++ b/tests/test_merge.py @@ -53,7 +53,41 @@ def test_merge_files_modulair_db(self): df3 = safe_load(os.path.join(self.test_dir, "output.csv")) self.assertEqual(df1.shape[1] + df2.shape[1] - 1, df3.shape[1]) - + + def test_merge_files_modulair_db_parquet(self): + runner = CliRunner() + result = runner.invoke(merge_command, + [ + "-o", + os.path.join(self.test_dir, "output.parquet"), + "--log-level", + "DEBUG", + os.path.join(self.test_files_dir, "modulair/MOD-00256-db-cleaned-file1.parquet"), + os.path.join(self.test_files_dir, "modulair/ref/bos_roxbury-cleaned.parquet"), + ], + catch_exceptions=False + ) + + # did it succeed? + self.assertEqual(result.exit_code, 0) + + # did it output the correct text? + self.assertTrue("Saving file" in result.output) + + # make sure the file exists + p = Path(self.test_dir + "/output.parquet") + self.assertTrue(p.exists()) + + # is it a parquet? + self.assertEqual(p.suffix, ".parquet") + + # are the number of lines correct? + df1 = safe_load(os.path.join(self.test_files_dir, "modulair/MOD-00256-db-cleaned-file1.parquet")) + df2 = safe_load(os.path.join(self.test_files_dir, "modulair/ref/bos_roxbury-cleaned.parquet")) + df3 = safe_load(os.path.join(self.test_dir, "output.parquet")) + + self.assertEqual(df1.shape[1] + df2.shape[1] - 1, df3.shape[1]) + #def test_concat_then_merge(self): # runner = CliRunner() # res1 = runner.invoke(concat_command, diff --git a/tests/test_resample.py b/tests/test_resample.py index be5092c..d439f3a 100644 --- a/tests/test_resample.py +++ b/tests/test_resample.py @@ -195,6 +195,40 @@ def test_resample_modulairx_cloudapi(self): self.assertEqual((idx[1] - idx[0]) / np.timedelta64(1, 's'), 600.0) + def test_resample_modulair_db_parquet(self): + runner = CliRunner() + result = runner.invoke(resample_command, + [ + "-o", + os.path.join(self.test_dir, "output.parquet"), + "--log-level", + "DEBUG", + os.path.join(self.test_files_dir, "modulair/MOD-00256-db-cleaned-file1.parquet"), + "1D", + ], catch_exceptions=False + ) + + # did it succeed? + self.assertEqual(result.exit_code, 0) + + # did it output the correct text? + self.assertTrue("Saving file" in result.output) + + # make sure the file exists + p = Path(self.test_dir + "/output.parquet") + self.assertTrue(p.exists()) + + # is it a parquet? + self.assertEqual(p.suffix, ".parquet") + + # are the number of lines correct? + df = pd.read_parquet(os.path.join(self.test_dir, "output.parquet")) + df['timestamp'] = df['timestamp'].map(pd.to_datetime) + + idx = df.timestamp.values + + self.assertEqual((idx[1] - idx[0]) / np.timedelta64(1, 's'), 86400.0) + def test_resample_dataframe_nan_winds(self): """Test for edge case in case u/v cols exist but have nans. """ diff --git a/tests/test_utilities.py b/tests/test_utilities.py index 6a74212..28fe23e 100644 --- a/tests/test_utilities.py +++ b/tests/test_utilities.py @@ -44,11 +44,14 @@ def test_infer_data_source(self): self.test_files_dir, "modulair/MOD-00014-db-raw.csv")) df3 = safe_load(os.path.join( self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file1.csv")) + df4 = safe_load(os.path.join( + self.test_files_dir, "modulair/MOD-00256-db-cleaned-file1.parquet")) cases = [ (df1, "rawsd"), (df2, "database"), (df3, "cloudapi"), + (df4, "database"), ] for df, expected in cases: From bfe66fb5187b7f52429773df82602a85f799b897 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 1 Jul 2026 16:53:27 -0400 Subject: [PATCH 37/60] Move library function into quantaq_py/toolkit --- quantaq_py/__init__.py | 12 ++++++------ quantaq_py/cli.py | 2 +- quantaq_py/{ => toolkit}/concat.py | 0 quantaq_py/{ => toolkit}/expunge.py | 0 quantaq_py/{ => toolkit}/flag.py | 0 quantaq_py/{ => toolkit}/merge.py | 0 quantaq_py/{ => toolkit}/munge.py | 0 quantaq_py/{ => toolkit}/resample.py | 0 tests/test_resample.py | 2 +- 9 files changed, 8 insertions(+), 8 deletions(-) rename quantaq_py/{ => toolkit}/concat.py (100%) rename quantaq_py/{ => toolkit}/expunge.py (100%) rename quantaq_py/{ => toolkit}/flag.py (100%) rename quantaq_py/{ => toolkit}/merge.py (100%) rename quantaq_py/{ => toolkit}/munge.py (100%) rename quantaq_py/{ => toolkit}/resample.py (100%) diff --git a/quantaq_py/__init__.py b/quantaq_py/__init__.py index f4bae54..2e2ac2d 100644 --- a/quantaq_py/__init__.py +++ b/quantaq_py/__init__.py @@ -1,9 +1,9 @@ -from quantaq_py.concat import concat_files -from quantaq_py.merge import merge_files -from quantaq_py.resample import resample_dataframe -from quantaq_py.flag import flag_dataframe, echo_flag_table, flag_summary -from quantaq_py.expunge import expunge_dataframe -from quantaq_py.munge import clean_file +from quantaq_py.toolkit.concat import concat_files +from quantaq_py.toolkit.merge import merge_files +from quantaq_py.toolkit.resample import resample_dataframe +from quantaq_py.toolkit.flag import flag_dataframe, echo_flag_table, flag_summary +from quantaq_py.toolkit.expunge import expunge_dataframe +from quantaq_py.toolkit.munge import clean_file __all__ = [ diff --git a/quantaq_py/cli.py b/quantaq_py/cli.py index 58be240..2338342 100644 --- a/quantaq_py/cli.py +++ b/quantaq_py/cli.py @@ -8,7 +8,7 @@ from quantaq_py import flag_dataframe, echo_flag_table, expunge_dataframe from quantaq_py.exceptions import InvalidFileExtension from quantaq_py.log import configure_logging, LOG_LEVELS -from quantaq_py.resample import WIND_COLUMNS +from quantaq_py.toolkit.resample import WIND_COLUMNS from quantaq_py.utilities import safe_load from quantaq_py.variables import SUPPORTED_MODELS, SUPPORTED_SOURCES diff --git a/quantaq_py/concat.py b/quantaq_py/toolkit/concat.py similarity index 100% rename from quantaq_py/concat.py rename to quantaq_py/toolkit/concat.py diff --git a/quantaq_py/expunge.py b/quantaq_py/toolkit/expunge.py similarity index 100% rename from quantaq_py/expunge.py rename to quantaq_py/toolkit/expunge.py diff --git a/quantaq_py/flag.py b/quantaq_py/toolkit/flag.py similarity index 100% rename from quantaq_py/flag.py rename to quantaq_py/toolkit/flag.py diff --git a/quantaq_py/merge.py b/quantaq_py/toolkit/merge.py similarity index 100% rename from quantaq_py/merge.py rename to quantaq_py/toolkit/merge.py diff --git a/quantaq_py/munge.py b/quantaq_py/toolkit/munge.py similarity index 100% rename from quantaq_py/munge.py rename to quantaq_py/toolkit/munge.py diff --git a/quantaq_py/resample.py b/quantaq_py/toolkit/resample.py similarity index 100% rename from quantaq_py/resample.py rename to quantaq_py/toolkit/resample.py diff --git a/tests/test_resample.py b/tests/test_resample.py index d439f3a..6d01519 100644 --- a/tests/test_resample.py +++ b/tests/test_resample.py 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typing.Annotated" +optional = false +python-versions = ">=3.8" +files = [ + {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, + {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, +] + [[package]] name = "anyio" version = "4.12.1" @@ -1552,6 +1563,17 @@ files = [ [package.dependencies] typing-extensions = {version = "*", markers = "python_version < \"3.11\""} +[[package]] +name = "mypy-extensions" +version = "1.1.0" +description = "Type system extensions for programs checked with the mypy type checker." +optional = false +python-versions = ">=3.8" +files = [ + {file = "mypy_extensions-1.1.0-py3-none-any.whl", hash = "sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505"}, + {file = "mypy_extensions-1.1.0.tar.gz", hash = "sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558"}, +] + [[package]] name 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version = "2026.2" @@ -3263,4 +3517,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.0" python-versions = ">=3.9, <3.14" -content-hash = "e09ee01b942fad3bd97f7a0b4b739d3e20e5f8fc083c6312c07cc6e417dc097c" +content-hash = "4be6ac677c354c91423d1bf21ac9538be65daf86604d6342a110c5f0ab41a6e4" diff --git a/pyproject.toml b/pyproject.toml index e38a9d7..521c385 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,6 +21,7 @@ numpy = "^1.23.2" rich-click = ">=1.7.2" loguru = "^0.7.3" jupyter = "^1.1.1" +pandera = ">=0.24,<0.29" [tool.poetry.group.dev.dependencies] pytest = "^6.2.5" From a625733d7456abccb497fae2ac783d74eb5983bc Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Thu, 2 Jul 2026 11:05:29 -0400 Subject: [PATCH 39/60] Add Pandera schema checks, always add sn column when safe_loading rawSD, convert clean_file to clean_dataframe --- quantaq_py/__init__.py | 4 +- quantaq_py/cli.py | 10 +- quantaq_py/toolkit/munge.py | 177 +----------------------------------- quantaq_py/utilities.py | 32 +++++-- tests/test_utilities.py | 2 +- 5 files changed, 35 insertions(+), 190 deletions(-) diff --git a/quantaq_py/__init__.py b/quantaq_py/__init__.py index 2e2ac2d..f7c36e1 100644 --- a/quantaq_py/__init__.py +++ b/quantaq_py/__init__.py @@ -3,7 +3,7 @@ from quantaq_py.toolkit.resample import resample_dataframe from quantaq_py.toolkit.flag import flag_dataframe, echo_flag_table, flag_summary from quantaq_py.toolkit.expunge import expunge_dataframe -from quantaq_py.toolkit.munge import clean_file +from quantaq_py.toolkit.munge import clean_dataframe __all__ = [ @@ -14,5 +14,5 @@ "echo_flag_table", "expunge_dataframe", "flag_summary", - "clean_file" + "clean_dataframe" ] diff --git a/quantaq_py/cli.py b/quantaq_py/cli.py index 2338342..c0a8ff1 100644 --- a/quantaq_py/cli.py +++ b/quantaq_py/cli.py @@ -4,7 +4,7 @@ import rich_click as click from loguru import logger -from quantaq_py import concat_files, merge_files, resample_dataframe, clean_file +from quantaq_py import concat_files, merge_files, resample_dataframe, clean_dataframe from quantaq_py import flag_dataframe, echo_flag_table, expunge_dataframe from quantaq_py.exceptions import InvalidFileExtension from quantaq_py.log import configure_logging, LOG_LEVELS @@ -160,8 +160,8 @@ def flag_command(file, output, log_level): logger.info("File to read: {}", file) - # load the file -- add the sn column if its a rawSD file - df = safe_load(file, add_sn_column=True) + # load the file + df = safe_load(file) # flag the dataframe logger.info("Original flag summary:") @@ -234,8 +234,8 @@ def clean_command(filepath, output, log_level): raise InvalidFileExtension("Invalid file extension") logger.info("Cleaning data for {}", filepath) - df = clean_file(filepath) - + df = safe_load(filepath) + df = clean_dataframe(df) # save the file logger.info("Saving file to {}", output) if output.suffix == ".csv": diff --git a/quantaq_py/toolkit/munge.py b/quantaq_py/toolkit/munge.py index 2b7f588..6688c1d 100644 --- a/quantaq_py/toolkit/munge.py +++ b/quantaq_py/toolkit/munge.py @@ -3,181 +3,15 @@ import pandas as pd from quantaq_py.exceptions import InvalidFileExtension -from quantaq_py.utilities import safe_load, determine_timestamp_column +from quantaq_py.utilities import determine_timestamp_column -COLUMN_DEFINITIONS = [ - # --- OPC colunms --- - ('bin0', np.float32), - ('bin1', np.float32), - ('bin2', np.float32), - ('bin3', np.float32), - ('bin4', np.float32), - ('bin5', np.float32), - ('bin6', np.float32), - ('bin7', np.float32), - ('bin8', np.float32), - ('bin9', np.float32), - ('bin10', np.float32), - ('bin11', np.float32), - ('bin12', np.float32), - ('bin13', np.float32), - ('bin14', np.float32), - ('bin15', np.float32), - ('bin16', np.float32), - ('bin17', np.float32), - ('bin18', np.float32), - ('bin19', np.float32), - ('bin20', np.float32), - ('bin21', np.float32), - ('bin22', np.float32), - ('bin23', np.float32), - ('opc.bin0', np.float32), - ('opc.bin1', np.float32), - ('opc.bin2', np.float32), - ('opc.bin3', np.float32), - ('opc.bin4', np.float32), - ('opc.bin5', np.float32), - ('opc.bin6', np.float32), - ('opc.bin7', np.float32), - ('opc.bin8', np.float32), - ('opc.bin9', np.float32), - ('opc.bin10', np.float32), - ('opc.bin11', np.float32), - ('opc.bin12', np.float32), - ('opc.bin13', np.float32), - ('opc.bin14', np.float32), - ('opc.bin15', np.float32), - ('opc.bin16', np.float32), - ('opc.bin17', np.float32), - ('opc.bin18', np.float32), - ('opc.bin19', np.float32), - ('opc.bin20', np.float32), - ('opc.bin21', np.float32), - ('opc.bin22', np.float32), - ('opc.bin23', np.float32), - ('bin1MToF', np.float32), - ('bin3MToF', np.float32), - ('bin5MToF', np.float32), - ('bin7MToF', np.float32), - ('sample_period', np.float32), - ('opc_sample_period', np.float32), - ('sample_flow', np.float32), - ('opc_sample_flow', np.float32), - ('opc_temp', np.float32), - ('opc_rh', np.float32), - ('opc_pm1', np.float32), - ('opc_pm25', np.float32), - ('opc_pm10', np.float32), - ('opcn3_pm1', np.float32), - ('opcn3_pm25', np.float32), - ('opcn3_pm10', np.float32), - ('laser_status', np.int16), - ('opc_laser_status', np.int16), - - # --- Nephelometer columns --- - ('pm1_std', np.float32), - ('pm25_std', np.float32), - ('pm10_std', np.float32), - ('pm1_env', np.float32), - ('pm25_env', np.float32), - ('pm10_env', np.float32), - ('neph_pm1_std', np.float32), - ('neph_pm25_std', np.float32), - ('neph_pm10_std', np.float32), - ('neph_pm1_env', np.float32), - ('neph_pm25_env', np.float32), - ('neph_pm10_env', np.float32), - ('neph_bin0', np.float32), - ('neph_bin1', np.float32), - ('neph_bin2', np.float32), - ('neph_bin3', np.float32), - ('neph_bin4', np.float32), - ('neph_bin5', np.float32), - - # --- RH / Temp / Pressure columns --- - ('sample_rh', np.float32), - ('sample_temp', np.float32), - ('sample_pres', np.float32), - ('rh', np.float32), - ('temp', np.float32), - - # --- CO columns --- - ('co', np.float32), - ('co_we', np.float32), - ('co_ae', np.float32), - ('co_diff', np.float32), - ('gases.co.we', np.float32), - ('gases.co.ae', np.float32), - ('gases.co.diff', np.float32), - - # --- NO columns --- - ('no', np.float32), - ('no_we', np.float32), - ('no_ae', np.float32), - ('no_diff', np.float32), - ('gases.no.we', np.float32), - ('gases.no.ae', np.float32), - ('gases.no.diff', np.float32), - - # --- NO2 columns --- - ('no2', np.float32), - ('no2_we', np.float32), - ('no2_ae', np.float32), - ('no2_diff', np.float32), - ('gases.no2.we', np.float32), - ('gases.no2.ae', np.float32), - ('gases.no2.diff', np.float32), - - # --- O3 columns --- - ('o3', np.float32), - ('ox_we', np.float32), - ('ox_ae', np.float32), - ('ox_diff', np.float32), - ('o3_we', np.float32), - ('o3_ae', np.float32), - ('o3_diff', np.float32), - ('gases.o3.we', np.float32), - ('gases.o3.ae', np.float32), - ('gases.o3.diff', np.float32), - - # --- CO2 columns --- - ('co2_raw', np.float32), - ('co2', np.float32), - - # --- SO2 columns --- - ('so2_we', np.float32), - ('so2_ae', np.float32), - ('so2_diff', np.float32), - ('so2', np.float32), - - # --- H2S columns --- - ('h2s_we', np.float32), - ('h2s_ae', np.float32), - ('h2s_diff', np.float32), - ('h2s', np.float32), - - # --- Battery columns --- - ('bat_voltage', np.float32), - ('soc', np.float32), - ('vbat', np.float32), - - # --- Device / metadata columns --- - ('fw', np.int16), - ('flag', np.int16), - ('connection_status', np.int16), - ('iteration', np.int16), -] - - -def clean_file(filepath): - """Load a file, clean it, and save to csv. +def clean_dataframe(df): + """Load a dataframe, clean it, and save to csv. Removes corrupt data and force columns to be the desired column type based on the specific column. """ - # Load the data - df = safe_load(filepath) # Fix the timestamp column(s) for c in ('timestamp', 'timestamp_local', 'timestamp_iso'): @@ -195,9 +29,4 @@ def clean_file(filepath): #df = df.dropna(how='any') # drop rows if ANY column is nan df = df.dropna(how='all') # drop rows if EVERY column is nan - # Reduce memory use by cleaning up all the column types - for cname, ctype in COLUMN_DEFINITIONS: - if cname in df.columns: - df[cname] = df[cname].astype(ctype) - return df diff --git a/quantaq_py/utilities.py b/quantaq_py/utilities.py index 136e0e7..97ab44e 100644 --- a/quantaq_py/utilities.py +++ b/quantaq_py/utilities.py @@ -2,8 +2,10 @@ from loguru import logger import pandas as pd +import pandera.pandas as pa from quantaq_py.exceptions import InvalidFileExtension +from quantaq_py.schema import build_dtype_schema, COLUMN_DEFINITIONS def infer_data_source(df): @@ -57,7 +59,7 @@ def sn_to_model(device_sn): prefix, _, _ = device_sn.rpartition("-") return prefix.lower().replace("mod", "modulair", 1) -def safe_load(fpath, add_sn_column=False): +def safe_load(fpath, coerce_dtypes=False): """Load a CSV or parquet file""" p = Path(fpath) @@ -76,13 +78,11 @@ def safe_load(fpath, add_sn_column=False): tmp = pd.read_csv(fpath, skiprows=3) - # Optionally add the sn as a column (required for flagging rawSD data) - if add_sn_column: - # Grab the serial number from the header - tmp2 = pd.read_csv(fpath, nrows=3, header=None) - serial_number = tmp2.iloc[2, 1] - tmp['sn'] = serial_number - logger.info("Added serial number {} to column `sn` ", serial_number) + # Always add the sn as a column for rawSD data + tmp2 = pd.read_csv(fpath, nrows=3, header=None) + serial_number = tmp2.iloc[2, 1] + tmp['sn'] = serial_number + logger.info("Added serial number {} to column `sn` ", serial_number) elif as_csv and tmp.shape[1] == 2: # hack to deal with bad header format tmp = pd.read_csv(fpath, skiprows=1) @@ -94,6 +94,22 @@ def safe_load(fpath, add_sn_column=False): if unnamed: tmp.drop(columns=unnamed, inplace=True) + # Check dtypes + schema_field_dtypes = build_dtype_schema(COLUMN_DEFINITIONS) + try: + # print all dtype errors instead of raising on the first error + schema_field_dtypes.validate(tmp, lazy=True) + except pa.errors.SchemaErrors as err: + logger.error("Dtype validation failed for file {}.", fpath) + logger.debug("{}", err.failure_cases.to_string()) + if coerce_dtypes: + logger.warning("Coercing dtypes to expected types.") + dtype_map = { + col: dtype for col, dtype in COLUMN_DEFINITIONS + if col in tmp.columns + } + tmp = tmp.astype(dtype_map) + return tmp def determine_timestamp_column(sensor_df: pd.DataFrame) -> str: diff --git a/tests/test_utilities.py b/tests/test_utilities.py index 28fe23e..10d29a0 100644 --- a/tests/test_utilities.py +++ b/tests/test_utilities.py @@ -32,7 +32,7 @@ def test_infer_data_model(self): self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file1.csv" ) expected = "modulair-x" - df = safe_load(file, add_sn_column=True) + df = safe_load(file) result = infer_data_model(df) self.assertEqual(result, expected) From 9966b892381390166adc876280219b14f74bba53 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Thu, 2 Jul 2026 11:13:01 -0400 Subject: [PATCH 40/60] Define dtypes and schema checks in schema.py --- quantaq_py/schema.py | 190 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 190 insertions(+) create mode 100644 quantaq_py/schema.py diff --git a/quantaq_py/schema.py b/quantaq_py/schema.py new file mode 100644 index 0000000..162a818 --- /dev/null +++ b/quantaq_py/schema.py @@ -0,0 +1,190 @@ +import numpy as np +import pandera.pandas as pa + +# Default dtypes from database / cloudAPI data +COLUMN_DEFINITIONS = [ + # --- OPC colunms --- + ('bin0', np.float64), + ('bin1', np.float64), + ('bin2', np.float64), + ('bin3', np.float64), + ('bin4', np.float64), + ('bin5', np.float64), + ('bin6', np.float64), + ('bin7', np.float64), + ('bin8', np.float64), + ('bin9', np.float64), + ('bin10', np.float64), + ('bin11', np.float64), + ('bin12', np.float64), + ('bin13', np.float64), + ('bin14', np.float64), + ('bin15', np.float64), + ('bin16', np.float64), + ('bin17', np.float64), + ('bin18', np.float64), + ('bin19', np.float64), + ('bin20', np.float64), + ('bin21', np.float64), + ('bin22', np.float64), + ('bin23', np.float64), + ('opc.bin0', np.float64), + ('opc.bin1', np.float64), + ('opc.bin2', np.float64), + ('opc.bin3', np.float64), + ('opc.bin4', np.float64), + ('opc.bin5', np.float64), + ('opc.bin6', np.float64), + ('opc.bin7', np.float64), + ('opc.bin8', np.float64), + ('opc.bin9', np.float64), + ('opc.bin10', np.float64), + ('opc.bin11', np.float64), + ('opc.bin12', np.float64), + ('opc.bin13', np.float64), + ('opc.bin14', np.float64), + ('opc.bin15', np.float64), + ('opc.bin16', np.float64), + ('opc.bin17', np.float64), + ('opc.bin18', np.float64), + ('opc.bin19', np.float64), + ('opc.bin20', np.float64), + ('opc.bin21', np.float64), + ('opc.bin22', np.float64), + ('opc.bin23', np.float64), + ('bin1MToF', np.float64), + ('bin3MToF', np.float64), + ('bin5MToF', np.float64), + ('bin7MToF', np.float64), + ('sample_period', np.float64), + ('opc_sample_period', np.float64), + ('sample_flow', np.float64), + ('opc_sample_flow', np.float64), + ('opc_temp', np.float64), + ('opc_rh', np.float64), + ('opc_pm1', np.float64), + ('opc_pm25', np.float64), + ('opc_pm10', np.float64), + ('opcn3_pm1', np.float64), + ('opcn3_pm25', np.float64), + ('opcn3_pm10', np.float64), + ('laser_status', np.int16), + ('opc_laser_status', np.int16), + + # --- Nephelometer columns --- + ('pm1_std', np.float64), + ('pm25_std', np.float64), + ('pm10_std', np.float64), + ('pm1_env', np.float64), + ('pm25_env', np.float64), + ('pm10_env', np.float64), + ('neph_pm1_std', np.float64), + ('neph_pm25_std', np.float64), + ('neph_pm10_std', np.float64), + ('neph_pm1_env', np.float64), + ('neph_pm25_env', np.float64), + ('neph_pm10_env', np.float64), + ('neph_bin0', np.float64), + ('neph_bin1', np.float64), + ('neph_bin2', np.float64), + ('neph_bin3', np.float64), + ('neph_bin4', np.float64), + ('neph_bin5', np.float64), + + # --- RH / Temp / Pressure columns --- + ('sample_rh', np.float64), + ('sample_temp', np.float64), + ('sample_pres', np.float64), + ('rh', np.float64), + ('temp', np.float64), + + # --- CO columns --- + ('co', np.float64), + ('co_we', np.float64), + ('co_ae', np.float64), + ('co_diff', np.float64), + ('gases.co.we', np.float64), + ('gases.co.ae', np.float64), + ('gases.co.diff', np.float64), + + # --- NO columns --- + ('no', np.float64), + ('no_we', np.float64), + ('no_ae', np.float64), + ('no_diff', np.float64), + ('gases.no.we', np.float64), + ('gases.no.ae', np.float64), + ('gases.no.diff', np.float64), + + # --- NO2 columns --- + ('no2', np.float64), + ('no2_we', np.float64), + ('no2_ae', np.float64), + ('no2_diff', np.float64), + ('gases.no2.we', np.float64), + ('gases.no2.ae', np.float64), + ('gases.no2.diff', np.float64), + + # --- O3 columns --- + ('o3', np.float64), + ('ox_we', np.float64), + ('ox_ae', np.float64), + ('ox_diff', np.float64), + ('o3_we', np.float64), + ('o3_ae', np.float64), + ('o3_diff', np.float64), + ('gases.o3.we', np.float64), + ('gases.o3.ae', np.float64), + ('gases.o3.diff', np.float64), + + # --- CO2 columns --- + ('co2_raw', np.float64), + ('co2', np.float64), + + # --- SO2 columns --- + ('so2_we', np.float64), + ('so2_ae', np.float64), + ('so2_diff', np.float64), + ('so2', np.float64), + + # --- H2S columns --- + ('h2s_we', np.float64), + ('h2s_ae', np.float64), + ('h2s_diff', np.float64), + ('h2s', np.float64), + + # --- Battery columns --- + ('bat_voltage', np.float64), + ('soc', np.float64), + ('vbat', np.float64), + + # --- Device / metadata columns --- + ('fw', np.int16), + ('flag', np.int64), + ('connection_status', np.int16), + ('iteration', np.int16), +] + +def build_dtype_schema(column_definitions, nullable=True, required=False): + """Build a Pandera DataFrameSchema from a list of column definitions. + + Args: + column_definitions (list of tuples): A list of tuples where + each tuple contains the column name and its + corresponding data type. + nullable (bool): Whether the columns are nullable. Default + is True. + required (bool): Whether the columns are required. Default + is False. + index_dtype (type, optional): The data type of the index. + If None, no index is specified. Default is None. + """ + columns = { + name: pa.Column(dtype, nullable=nullable, required=required) + for name, dtype in column_definitions + } + + # index = None means no index is specified + # strict = False allows missing and extra columns in the DataFrame + schema = pa.DataFrameSchema(columns, index=None, strict=False) + return schema From 8162df439dc94d9f106cb8597e7940e6200d1d54 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Thu, 2 Jul 2026 11:22:16 -0400 Subject: [PATCH 41/60] Remove tests for arisense --- tests/files/arisense/SN000-063-db-file1.csv | 52 ---------- tests/files/arisense/SN000-063-db-file2.csv | 52 ---------- tests/files/arisense/ref/ref.csv | 100 -------------------- tests/test_clean.py | 21 ---- tests/test_concat.py | 38 -------- tests/test_resample.py | 34 ------- 6 files changed, 297 deletions(-) delete mode 100644 tests/files/arisense/SN000-063-db-file1.csv delete mode 100644 tests/files/arisense/SN000-063-db-file2.csv delete mode 100644 tests/files/arisense/ref/ref.csv diff --git a/tests/files/arisense/SN000-063-db-file1.csv b/tests/files/arisense/SN000-063-db-file1.csv deleted file mode 100644 index 73fc94a..0000000 --- a/tests/files/arisense/SN000-063-db-file1.csv +++ /dev/null @@ -1,52 +0,0 @@ -,id,timestamp,timestamp_local,sn,temp_box,temp_manifold,rh_manifold,pressure,dew_point,noise,solar,wind_dir,wind_speed,opc_flow,co2_raw,voc_raw,co_we,co_ae,no_we,no_ae,no2_we,no2_ae,o3_we,o3_ae,bin0,bin1,bin2,bin3,bin4,bin5,bin6,bin7,bin8,bin9,bin10,bin11,bin12,bin13,bin14,sample_time,lat,lon,flag,device_state -0,7313814,2019-12-13T20:25:07Z,2019-12-13T15:25:07Z,SN000-063,39,36.6,13.3,102123,4.1,1399.3,0.8,61.8,0,0.1,666,0,762,590.9,735.8,693.4,1870.1,1905,1861.3,1873,2.536,0.163,0.052,0.021,0.005,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,1,CALIBRATION -1,7313805,2019-12-13T20:24:07Z,2019-12-13T15:24:07Z,SN000-063,39.1,36.7,13.3,102124,4.1,1408.5,1,61.8,0,0.1,653.2,0,764.8,587.1,736.7,693.5,1869.4,1905.3,1859.9,1873.4,2.415,0.152,0.047,0.022,0.004,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,1,CALIBRATION -2,7313799,2019-12-13T20:23:07Z,2019-12-13T15:23:07Z,SN000-063,39.3,36.9,13.6,102127,4.5,1346.7,1,62,0,0.1,663.5,0,766.3,586.9,737.4,693.9,1869,1905.6,1859,1873.3,2.328,0.141,0.045,0.023,0.004,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,9,CALIBRATION -3,7313792,2019-12-13T20:22:07Z,2019-12-13T15:22:07Z,SN000-063,39.4,37,14.4,102123,5.5,1355.7,1,59.1,0,0.1,603.8,0,770.1,590.4,738.7,694.3,1868.7,1905.5,1858.1,1873.4,2.58,0.16,0.051,0.024,0.005,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -4,7313789,2019-12-13T20:21:07Z,2019-12-13T15:21:07Z,SN000-063,39.5,37.1,15,101916,6.2,1407.3,1,63.5,0,0.1,566.2,0,765.3,592.6,733.1,694.7,1873.2,1905.8,1866.4,1873.4,3.584,0.229,0.085,0.039,0.005,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -5,7313652,2019-12-13T20:20:07Z,2019-12-13T15:20:07Z,SN000-063,39.6,37.3,13.8,101884,5.1,1381.7,1,62.5,0,0.1,583.2,0,763.4,585.7,735.2,695.3,1871.4,1906,1864.1,1873.1,2.899,0.198,0.07,0.035,0.007,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -6,7313641,2019-12-13T20:19:07Z,2019-12-13T15:19:07Z,SN000-063,39.7,37.4,13.3,102126,4.7,1423.7,1,59.3,0,0.1,626,0,771.4,585.5,740.5,695.5,1868,1905.9,1857.2,1873.5,2.203,0.144,0.047,0.024,0.005,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -7,7313634,2019-12-13T20:18:07Z,2019-12-13T15:18:07Z,SN000-063,39.9,37.5,13.8,102122,5.2,1372,1,64.5,0,0.1,638.5,0,777.7,585.2,741.8,695.6,1867.5,1906.2,1855.7,1873,2.228,0.144,0.048,0.023,0.006,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -8,7313625,2019-12-13T20:17:07Z,2019-12-13T15:17:07Z,SN000-063,40,37.7,13.9,102084,5.5,1377.3,0.8,59.3,0,0.1,654.8,0,779.5,583,741.5,696,1867.5,1906.8,1856.3,1873.1,2.282,0.152,0.053,0.026,0.005,0.001,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -9,7313619,2019-12-13T20:16:07Z,2019-12-13T15:16:07Z,SN000-063,40.1,37.8,14.3,102122,6.1,1417.2,0.8,63.4,0,0.1,622,0,780.5,577.6,742.9,696.3,1866,1906.7,1853.1,1873,2.173,0.138,0.045,0.023,0.005,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -10,7313474,2019-12-13T20:15:07Z,2019-12-13T15:15:07Z,SN000-063,40.3,38,16.5,102023,8.2,1398.8,1,61.3,0,0.1,550.8,0,790.1,581.5,740.4,696.5,1869.4,1907.4,1858.1,1873.5,3.007,0.211,0.074,0.037,0.004,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -11,7313468,2019-12-13T20:14:07Z,2019-12-13T15:14:07Z,SN000-063,40.4,38.1,18.2,101957,9.8,1417,1,58.3,0,0.1,545,0,815.5,588,738.4,696.9,1874.6,1907.3,1866.8,1873.4,3.467,0.237,0.092,0.042,0.004,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -12,7313462,2019-12-13T20:13:07Z,2019-12-13T15:13:07Z,SN000-063,40.5,38.2,18.5,102060,10.1,1373,0.8,62.6,0,0.1,535.8,0,806.7,588.4,741.7,697.7,1879.1,1907.7,1873.2,1873.2,3.404,0.233,0.089,0.042,0.004,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -13,7313456,2019-12-13T20:12:07Z,2019-12-13T15:12:07Z,SN000-063,40.7,38.4,18.4,102058,10.2,1379.3,1,62.3,0,0.1,537,0,816.1,590.8,747.1,697.9,1879.8,1907.7,1874.1,1873,3.202,0.245,0.09,0.043,0.003,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -14,7313451,2019-12-13T20:11:07Z,2019-12-13T15:11:07Z,SN000-063,40.8,38.5,18.3,102054,10.2,1416.3,0.8,57,0,0.1,534,0,866.7,590,749.8,698.4,1880.2,1907.9,1874.4,1873.1,3.253,0.24,0.086,0.043,0.004,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -15,7313306,2019-12-13T20:10:07Z,2019-12-13T15:10:07Z,SN000-063,41,38.7,18.2,102056,10.3,1389.7,1,64.9,0,0.1,530.5,0,972.1,592.8,757.6,698.7,1881.4,1908.1,1875.7,1872.6,3.207,0.237,0.085,0.042,0.003,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -16,7313297,2019-12-13T20:09:07Z,2019-12-13T15:09:07Z,SN000-063,41.1,38.8,18.2,102065,10.4,1420.8,1,61,0,0.1,537,0,1042.6,594.5,765.6,699.4,1882.7,1908.6,1876.9,1873.1,3.112,0.23,0.087,0.044,0.004,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -17,7313289,2019-12-13T20:08:07Z,2019-12-13T15:08:07Z,SN000-063,41.2,38.9,18.1,102064,10.4,1365.2,1,61.5,0,0.1,528.8,0,1111.3,594.6,769,699.6,1881.2,1908.4,1874.7,1872.7,3.037,0.24,0.086,0.04,0.004,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -18,7313280,2019-12-13T20:07:07Z,2019-12-13T15:07:07Z,SN000-063,41.4,39.1,18.1,102070,10.5,1367.5,1,61.9,0,0.1,546.2,0,1247.4,599,777.4,700.4,1877.2,1908.6,1869.7,1872.8,3.009,0.237,0.088,0.042,0.004,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -19,7313274,2019-12-13T20:06:07Z,2019-12-13T15:06:07Z,SN000-063,41.5,39.2,18.1,102072,10.6,1410.7,1,63,0,0.1,537.5,0,1300.5,600,785.1,700.6,1873.8,1908.7,1865.6,1872.7,3.093,0.241,0.093,0.042,0.004,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -20,7313118,2019-12-13T20:05:07Z,2019-12-13T15:05:07Z,SN000-063,41.7,39.4,18,102074,10.7,1392.7,1,63.5,0,0.1,530,0,1257.7,599,784.7,700.9,1873,1909.1,1864.2,1872.9,3.248,0.242,0.093,0.044,0.005,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -21,7313111,2019-12-13T20:04:07Z,2019-12-13T15:04:07Z,SN000-063,41.9,39.5,17.9,102076,10.7,1417.8,0.8,61.9,0,0.1,536.5,0,1172.7,599.8,779.9,701.3,1871.8,1909.3,1862.2,1872.3,3.253,0.247,0.096,0.045,0.004,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -22,7313105,2019-12-13T20:03:07Z,2019-12-13T15:03:07Z,SN000-063,42,39.7,17.9,102071,10.8,1372.8,0.8,61.6,0,0.1,526.8,0,1141.3,601.3,774.6,701.7,1870.6,1909.4,1861.1,1872.5,3.257,0.244,0.088,0.043,0.003,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -23,7313100,2019-12-13T20:02:07Z,2019-12-13T15:02:07Z,SN000-063,42.1,39.8,17.8,102069,10.9,1375.7,1,57.7,0,0.1,535.5,0,1160.3,604.8,774,702.1,1870.7,1909.7,1860.8,1872.4,3.303,0.245,0.093,0.042,0.004,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -24,7313096,2019-12-13T20:01:07Z,2019-12-13T15:01:07Z,SN000-063,42.3,40,17.7,102072,10.9,1440,1,65.1,0,0.1,533.8,0,1193,603.7,771.6,702.5,1871.5,1909.7,1861.5,1872.2,3.475,0.256,0.097,0.046,0.004,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -25,7312950,2019-12-13T20:00:07Z,2019-12-13T15:00:07Z,SN000-063,42.5,40.2,17.7,102072,11.1,1430.3,1,58,0,0.1,542.2,0,1184.2,607.5,768.1,703.1,1871.8,1910.1,1861.8,1872.8,3.653,0.261,0.101,0.049,0.004,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -26,7312941,2019-12-13T19:59:07Z,2019-12-13T14:59:07Z,SN000-063,42.6,40.3,17.7,102068,11.1,1419.7,0.7,60.8,0,0.1,537,0,1122.3,606.9,771,703.5,1871.6,1910.3,1861.3,1872.1,3.843,0.269,0.101,0.05,0.004,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -27,7312932,2019-12-13T19:58:07Z,2019-12-13T14:58:07Z,SN000-063,42.7,40.5,17.6,102065,11.2,1369.2,0.8,63.3,0,0.1,529.5,0,991.7,604.2,778.7,704,1870.8,1910.6,1859.6,1872.3,3.751,0.252,0.086,0.04,0.004,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -28,7312925,2019-12-13T19:57:07Z,2019-12-13T14:57:07Z,SN000-063,42.9,40.6,17.6,102063,11.3,1368.7,1,59.2,0,0.1,539.8,0,953.2,610.3,785.8,704.6,1870.7,1910.8,1859.7,1872.2,3.654,0.264,0.088,0.039,0.004,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -29,7312920,2019-12-13T19:56:07Z,2019-12-13T14:56:07Z,SN000-063,43.1,40.8,17.5,102057,11.4,1422.2,1,59.7,0,0.1,531.8,0,1029.1,612.4,785.6,705.2,1872.1,1911.2,1860.6,1872.2,3.684,0.26,0.082,0.041,0.003,0,0,0,0,0,0,0,0,0,0,10,42.528877,-71.272903,0,CALIBRATION -30,7312763,2019-12-13T19:55:07Z,2019-12-13T14:55:07Z,SN000-063,43.2,40.9,17.5,102058,11.5,1404.3,1,58.6,0,0.1,535.8,0,1175.5,614,778.5,705.4,1876.2,1911.3,1866.1,1872.2,3.799,0.27,0.09,0.039,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -31,7312757,2019-12-13T19:54:07Z,2019-12-13T14:54:07Z,SN000-063,43.4,41.1,17.4,102062,11.5,1402,1,60.8,0,0.1,533.2,0,1245,617.6,772.1,706.1,1880.3,1911.3,1870.4,1872.3,3.759,0.273,0.089,0.037,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -32,7312751,2019-12-13T19:53:07Z,2019-12-13T14:53:07Z,SN000-063,43.6,41.3,17.4,102060,11.7,1379.3,1,64,0,0.1,532.2,0,1227.3,616.3,775.6,706.6,1879.9,1912,1869.4,1871.9,3.74,0.266,0.085,0.037,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -33,7312745,2019-12-13T19:52:07Z,2019-12-13T14:52:07Z,SN000-063,43.7,41.4,17.3,102062,11.7,1381.8,0.7,58,0,0.1,532.2,0,1189,619.1,785.3,706.8,1879.5,1912.1,1868.4,1872.3,3.861,0.273,0.084,0.036,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -34,7312741,2019-12-13T19:51:07Z,2019-12-13T14:51:07Z,SN000-063,43.9,41.6,17.3,102062,11.8,1426,1,61.1,0,0.1,523,0,1143.9,619.1,795.9,707.4,1878.5,1912.6,1866.6,1872.4,3.866,0.271,0.082,0.035,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -35,7312592,2019-12-13T19:50:07Z,2019-12-13T14:50:07Z,SN000-063,44.1,41.7,17.2,102066,11.9,1398.8,1,63.7,0,0.1,534,0,1093.4,621,798.5,708,1877.1,1912.7,1864.4,1872.1,3.922,0.262,0.088,0.037,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -36,7312583,2019-12-13T19:49:07Z,2019-12-13T14:49:07Z,SN000-063,44.2,41.9,17.2,102070,12.1,1417.7,1,62,0,0.1,537.5,0,979.5,620.2,804.4,708.4,1873,1912.7,1858.7,1872.3,3.969,0.267,0.085,0.038,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -37,7312573,2019-12-13T19:48:07Z,2019-12-13T14:48:07Z,SN000-063,44.4,42.1,17.3,102067,12.2,1365.2,1,58.7,0,0.1,533.2,0,940.8,621.8,809.3,709,1868.5,1913.3,1853.3,1872.6,3.838,0.27,0.089,0.037,0.005,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -38,7312565,2019-12-13T19:47:07Z,2019-12-13T14:47:07Z,SN000-063,44.6,42.2,17.3,102068,12.3,1400.8,1,61.5,0,0.1,541.2,0,1003.5,626,807.5,709.7,1868.8,1913.7,1853.1,1872.4,3.783,0.272,0.085,0.038,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -39,7312558,2019-12-13T19:46:07Z,2019-12-13T14:46:07Z,SN000-063,44.7,42.4,17.3,102067,12.5,1428.5,1,59.2,0,0.1,526.5,0,1123.5,626,799.8,710,1871,1913.6,1855.4,1872.4,3.738,0.274,0.084,0.036,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -40,7312414,2019-12-13T19:45:07Z,2019-12-13T14:45:07Z,SN000-063,44.9,42.6,17.4,102059,12.7,1406.7,0.8,59.6,0,0.1,528,0,1180.3,628.1,786,710.5,1873.8,1914.4,1858.1,1872.3,3.748,0.277,0.084,0.035,0.003,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -41,7312407,2019-12-13T19:44:07Z,2019-12-13T14:44:07Z,SN000-063,45.1,42.7,17.4,102058,12.9,1416.2,1,62,0,0.1,527.8,0,1150.8,627.1,790.2,711,1873.5,1914.9,1857.6,1872.7,3.839,0.298,0.093,0.039,0.003,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -42,7312399,2019-12-13T19:43:07Z,2019-12-13T14:43:07Z,SN000-063,45.2,42.9,17.4,102050,13,1376.2,1,60.5,0,0.1,529.5,0,1087.1,626,800.7,711.5,1873.8,1914.6,1857.7,1873.1,3.935,0.312,0.096,0.038,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -43,7312393,2019-12-13T19:42:07Z,2019-12-13T14:42:07Z,SN000-063,45.4,43,17.5,102050,13.2,1386.5,0.8,59.6,0,0.1,543.8,0,1073.1,625.5,814.6,712.1,1874.2,1915.7,1857,1873,3.953,0.299,0.097,0.041,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -44,7312386,2019-12-13T19:41:07Z,2019-12-13T14:41:07Z,SN000-063,45.6,43.2,17.7,102053,13.5,1430.8,0.7,63.4,0,0.1,528.2,0,1142.3,627.5,815.6,712.5,1873.8,1915.8,1856.2,1873,3.78,0.291,0.089,0.037,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -45,7312231,2019-12-13T19:40:07Z,2019-12-13T14:40:07Z,SN000-063,45.7,43.4,17.7,102053,13.6,1403.8,1,61.4,0,0.1,526,0,1284.7,627.1,817.5,712.7,1873.1,1915.7,1854.4,1873.2,3.479,0.271,0.088,0.036,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -46,7312222,2019-12-13T19:39:07Z,2019-12-13T14:39:07Z,SN000-063,45.9,43.5,17.9,102054,13.9,1418.7,0.8,59.9,0,0.1,524,0,1344.3,623.6,819,713.2,1872.6,1916.3,1853.1,1873.8,3.443,0.265,0.077,0.035,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -47,7312215,2019-12-13T19:38:07Z,2019-12-13T14:38:07Z,SN000-063,46.1,43.6,18,102060,14.2,1376.3,1,61.5,0,0.1,525.5,0,1258.2,619.7,818,713.5,1872.4,1916.7,1852.1,1874.1,3.399,0.259,0.08,0.035,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -48,7312209,2019-12-13T19:37:07Z,2019-12-13T14:37:07Z,SN000-063,46.3,43.8,18.4,102064,14.6,1383.5,1,60.8,0,0.1,542,0,1069.2,614,812.2,714.2,1872.5,1917.5,1851.2,1874.3,3.366,0.254,0.08,0.036,0.003,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -49,7312205,2019-12-13T19:36:07Z,2019-12-13T14:36:07Z,SN000-063,46.4,43.9,18.7,102068,14.9,1426.8,1,58.6,0,0.1,523,0,977.6,609.5,800.6,713,1872.2,1918,1850.2,1874.7,3.286,0.25,0.081,0.037,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -50,7312053,2019-12-13T19:35:07Z,2019-12-13T14:35:07Z,SN000-063,46.6,44.1,19.1,102069,15.4,1413.2,1,56.4,0,0.1,525.8,0,1030,602.2,803.2,714.4,1870.7,1918.6,1847.7,1874.9,3.25,0.255,0.079,0.034,0.003,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION \ No newline at end of file diff --git a/tests/files/arisense/SN000-063-db-file2.csv b/tests/files/arisense/SN000-063-db-file2.csv deleted file mode 100644 index be36449..0000000 --- a/tests/files/arisense/SN000-063-db-file2.csv +++ /dev/null @@ -1,52 +0,0 @@ -deviceID,123121nlk -,id,timestamp,timestamp_local,sn,temp_box,temp_manifold,rh_manifold,pressure,dew_point,noise,solar,wind_dir,wind_speed,opc_flow,co2_raw,voc_raw,co_we,co_ae,no_we,no_ae,no2_we,no2_ae,o3_we,o3_ae,bin0,bin1,bin2,bin3,bin4,bin5,bin6,bin7,bin8,bin9,bin10,bin11,bin12,bin13,bin14,sample_time,lat,lon,flag,device_state -51,7312046,2019-12-13T19:34:07Z,2019-12-13T14:34:07Z,SN000-063,46.7,44.2,19.6,102069,15.9,1433.7,0.8,60.4,0,0.1,529.2,0,1128,594.8,807.4,714.7,1866.5,1918.9,1841,1875.2,3.195,0.24,0.077,0.038,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -52,7312041,2019-12-13T19:33:07Z,2019-12-13T14:33:07Z,SN000-063,46.9,44.3,20.2,102072,16.4,1389.7,1,63.4,0,0.1,524,0,1176.3,580.6,811.7,714.7,1862,1919.4,1834.2,1875.8,3.115,0.238,0.078,0.038,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -53,7312035,2019-12-13T19:32:07Z,2019-12-13T14:32:07Z,SN000-063,47,44.5,21.1,102082,17.3,1378,1,61.9,0,0.1,523,0,1139.5,563.7,806.9,715,1862,1920.3,1833,1876.4,3.116,0.242,0.074,0.039,0.003,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -54,7312030,2019-12-13T19:31:07Z,2019-12-13T14:31:07Z,SN000-063,47.2,44.6,22.6,102081,18.4,1405.8,0.8,56.7,0,0.1,524.8,0,1032.1,542.2,795.1,714.8,1860.7,1921.2,1829.4,1876.4,3.192,0.238,0.079,0.038,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -55,7311887,2019-12-13T19:30:07Z,2019-12-13T14:30:07Z,SN000-063,47.3,44.7,25.3,102082,20.4,1368.8,0.8,64.1,0,0.1,521.2,0,986.2,518.5,780,715.1,1857.4,1921.8,1823.9,1876.4,3.081,0.256,0.077,0.043,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -56,7311880,2019-12-13T19:29:07Z,2019-12-13T14:29:07Z,SN000-063,47.4,44.9,30.9,102090,23.8,1414.8,1,64,0,0.1,518,0,1027,512.5,779.4,715.1,1858.3,1922.9,1823.9,1876.6,3.011,0.233,0.072,0.043,0.004,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -57,7311870,2019-12-13T19:28:07Z,2019-12-13T14:28:07Z,SN000-063,47.5,45,39.3,102105,28,1379,1,56.9,0,0.1,505.5,0,1077.1,546.3,756.6,717.5,1883.4,1924.2,1866.4,1878.3,2.504,0.185,0.051,0.027,0.002,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -58,7311862,2019-12-13T19:27:07Z,2019-12-13T14:27:07Z,SN000-063,47.6,45.1,41.1,102163,28.8,1380.3,1,62.3,0,0.1,518.8,0,1079.6,549.6,740.4,718.6,1895.4,1924.3,1891.2,1878.2,2.136,0.158,0.043,0.023,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -59,7311856,2019-12-13T19:26:07Z,2019-12-13T14:26:07Z,SN000-063,47.7,45.1,41,102159,28.8,1424.7,0.8,59.2,0,0.1,513.2,0,1079.9,550.8,740.5,719.4,1895.5,1924.3,1891.6,1878,2.111,0.159,0.042,0.021,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -60,7311710,2019-12-13T19:25:07Z,2019-12-13T14:25:07Z,SN000-063,47.7,45.2,40.8,102152,28.8,1398.3,1,59.2,0,0.1,527.5,0,1078.9,551.1,741.2,720.2,1895.4,1924.7,1891.4,1877.7,2.15,0.154,0.043,0.023,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -61,7311703,2019-12-13T19:24:07Z,2019-12-13T14:24:07Z,SN000-063,47.8,45.3,40.7,102152,28.9,1423.5,0.8,62.8,0,0.1,533.2,0,1080.1,551.2,742,721.1,1895.5,1924.6,1891.3,1877.9,2.137,0.153,0.04,0.02,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -62,7311696,2019-12-13T19:23:07Z,2019-12-13T14:23:07Z,SN000-063,47.9,45.4,40.6,102148,28.9,1374.5,1,62.7,0,0.1,527.2,0,1079.2,550.7,742.2,722,1895.6,1924.6,1891.9,1877.9,2.137,0.156,0.043,0.021,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -63,7311690,2019-12-13T19:22:07Z,2019-12-13T14:22:07Z,SN000-063,48,45.5,40.5,102148,28.9,1380.5,0.8,64.3,0,0.1,540.2,0,1078.8,553.7,742.8,722.8,1895.7,1924.5,1891.8,1877.8,2.181,0.165,0.049,0.024,0.002,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -64,7311684,2019-12-13T19:21:07Z,2019-12-13T14:21:07Z,SN000-063,48.1,45.5,40.3,102144,28.9,1428.2,1,59.8,0,0.1,541,0,1078.1,553.6,743.3,723.6,1895.8,1925,1892.1,1877.7,2.172,0.162,0.048,0.025,0.002,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -65,7311538,2019-12-13T19:20:07Z,2019-12-13T14:20:07Z,SN000-063,48.1,45.6,40.2,102139,28.9,1403.8,1,58,0,0.1,550.2,0,1077.7,553.7,743.9,724.6,1895.7,1924.7,1892.3,1877.4,2.186,0.161,0.046,0.023,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -66,7311529,2019-12-13T19:19:07Z,2019-12-13T14:19:07Z,SN000-063,48.2,45.7,40,102144,28.9,1430.3,0.8,61,0,0.1,555.2,0,1078.2,553.7,744.5,725.4,1895.7,1924.9,1892.3,1877.4,2.176,0.16,0.048,0.025,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -67,7311521,2019-12-13T19:18:07Z,2019-12-13T14:18:07Z,SN000-063,48.3,45.8,39.9,102154,28.9,1380.3,1,62,0,0.1,559.8,0,1078.9,552.6,745.3,726.5,1895.7,1925.3,1892.2,1877.3,2.199,0.166,0.045,0.025,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -68,7311513,2019-12-13T19:17:07Z,2019-12-13T14:17:07Z,SN000-063,48.4,45.9,39.8,102148,28.9,1372.8,1,60.5,0,0.1,571.2,0,1079,554.4,745.6,727.3,1896.2,1925.3,1892.9,1877.6,2.226,0.163,0.045,0.025,0.002,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -69,7311508,2019-12-13T19:16:07Z,2019-12-13T14:16:07Z,SN000-063,48.5,46,39.6,102151,29,1423,0.8,60.9,0,0.1,572,0,1078.7,553,746.2,728.4,1896.1,1925.2,1893.3,1876.7,2.193,0.157,0.045,0.024,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -70,7311364,2019-12-13T19:15:07Z,2019-12-13T14:15:07Z,SN000-063,48.6,46,39.5,102150,29,1395.5,0.8,58.4,0,0.1,577.8,0,1079.5,555.5,746.9,729.5,1896.3,1925.2,1893.7,1877.2,2.225,0.158,0.047,0.022,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -71,7311357,2019-12-13T19:14:07Z,2019-12-13T14:14:07Z,SN000-063,48.7,46.1,39.4,102148,29,1417.5,0.8,60.1,0,0.1,603.2,0,1079.1,556.3,747.4,730.5,1896.7,1925.3,1894.7,1876.8,2.192,0.157,0.04,0.02,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -72,7311350,2019-12-13T19:13:07Z,2019-12-13T14:13:07Z,SN000-063,48.7,46.2,39.3,102150,29.1,1369.8,1,64.9,0,0.1,610.5,0,1079.2,557.3,747.9,731.5,1897,1925.7,1895.7,1877,2.189,0.157,0.044,0.019,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -73,7311344,2019-12-13T19:12:07Z,2019-12-13T14:12:07Z,SN000-063,48.9,46.3,39.3,102151,29.1,1376.7,1,64.8,0,0.1,625.5,0,1077.9,558.3,748.1,732.6,1897.6,1925.5,1898.5,1876.9,2.167,0.154,0.042,0.02,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -74,7311339,2019-12-13T19:11:07Z,2019-12-13T14:11:07Z,SN000-063,48.9,46.4,39.1,102150,29.1,1427.7,1,57.9,0,0.1,643.5,0,1077.5,559.9,749.1,734.1,1897.9,1925.9,1901.2,1876.5,2.184,0.156,0.042,0.021,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -75,7311194,2019-12-13T19:10:07Z,2019-12-13T14:10:07Z,SN000-063,49,46.5,38.9,102146,29.1,1401.8,1,59.9,0,0.1,661.8,0,1077.3,561.6,750.3,735.1,1898.1,1926.2,1904.7,1876.6,2.198,0.172,0.05,0.024,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -76,7311181,2019-12-13T19:09:07Z,2019-12-13T14:09:07Z,SN000-063,49.2,46.6,38.6,102157,29.1,1420.5,1,57.9,0,0.1,673.5,0,1074.6,561.6,751.4,736.3,1898.1,1926.3,1909.8,1876.5,2.235,0.171,0.045,0.022,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -77,7311174,2019-12-13T19:08:07Z,2019-12-13T14:08:07Z,SN000-063,49.2,46.7,38.3,102155,29,1378.3,1,63.3,0,0.1,681.5,0,1074.7,560.7,753.7,737.3,1897.2,1926.2,1915.4,1876.5,2.314,0.175,0.05,0.023,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -78,7311167,2019-12-13T19:07:07Z,2019-12-13T14:07:07Z,SN000-063,49.3,46.8,38.2,102154,29.1,1383.7,1,63.3,0,0.1,718,0,1073.8,564,754.8,738.6,1897.3,1926.3,1926,1876.2,2.289,0.17,0.049,0.022,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -79,7311162,2019-12-13T19:06:07Z,2019-12-13T14:06:07Z,SN000-063,49.4,46.9,38,102156,29.1,1431,1,55.9,0,0.1,720.2,0,1072.8,563.2,754.8,740,1897.5,1926.9,1931.3,1876.3,2.29,0.17,0.045,0.022,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -80,7311024,2019-12-13T19:05:07Z,2019-12-13T14:05:07Z,SN000-063,49.6,47,37.9,102164,29.1,1405.3,1,58.8,0,0.1,744.2,0,1074.4,566.4,756.7,741.4,1896.2,1926.6,1911.5,1876.1,2.27,0.169,0.047,0.019,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -81,7311018,2019-12-13T19:04:07Z,2019-12-13T14:04:07Z,SN000-063,49.7,47.1,37.7,102162,29.1,1421.5,1,60.7,0,0.1,659.8,0,1071.1,567.9,766.8,742.7,1891.3,1926.6,1887.1,1876.1,2.269,0.174,0.045,0.022,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -82,7311011,2019-12-13T19:03:07Z,2019-12-13T14:03:07Z,SN000-063,49.8,47.2,37.6,102169,29.1,1380.7,1,61.7,0,0.1,477.8,0,1064.8,567.9,768.6,744,1891.2,1926.9,1886.7,1875.9,2.313,0.181,0.048,0.023,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -83,7311004,2019-12-13T19:02:07Z,2019-12-13T14:02:07Z,SN000-063,49.9,47.3,37.3,102163,29.1,1404.2,0.8,62.5,0,0.1,481.5,0,1063.2,567.5,769.7,745.3,1890.8,1927.2,1886.6,1876.2,2.385,0.194,0.05,0.025,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -84,7310998,2019-12-13T19:01:07Z,2019-12-13T14:01:07Z,SN000-063,50,47.4,37.1,102166,29.1,1478.8,1,63.4,0,0.1,465,0,1062,568,771.1,746.8,1890.6,1927.5,1886.6,1875.8,2.383,0.195,0.053,0.025,0.002,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -85,7310868,2019-12-13T19:00:07Z,2019-12-13T14:00:07Z,SN000-063,50.1,47.5,37,102163,29.1,1440.7,1,55.7,0,0.1,470.2,0,1062.6,571.8,772.9,748.4,1890.2,1927.6,1885.6,1875.9,2.403,0.203,0.052,0.028,0.002,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -86,7310858,2019-12-13T18:59:07Z,2019-12-13T13:59:07Z,SN000-063,50.2,47.6,36.8,102164,29.2,1434,1,55,0,0.1,475.5,0,1062,572.7,773.7,749.7,1890.5,1927.8,1886,1875.6,2.435,0.2,0.057,0.027,0.002,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -87,7310849,2019-12-13T18:58:07Z,2019-12-13T13:58:07Z,SN000-063,50.4,47.7,36.7,102169,29.2,1382,0.8,62.8,0,0.1,473,0,1060.9,572.4,775.1,751.1,1890.2,1927.9,1885.6,1875.4,2.425,0.202,0.052,0.025,0.002,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -88,7310842,2019-12-13T18:57:07Z,2019-12-13T13:57:07Z,SN000-063,50.5,47.8,36.5,102170,29.2,1382.5,1,58.5,0,0.1,473,0,1061.3,574.4,776.2,752.6,1890.2,1928.1,1885.7,1875.8,2.401,0.196,0.056,0.025,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -89,7310836,2019-12-13T18:56:07Z,2019-12-13T13:56:07Z,SN000-063,50.6,47.9,36.3,102174,29.2,1431.3,1,63.8,0,0.1,471.2,0,1061.4,574.8,777.5,754.3,1890.2,1928.7,1885.7,1875.4,2.401,0.197,0.051,0.024,0.002,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -90,7310693,2019-12-13T18:55:07Z,2019-12-13T13:55:07Z,SN000-063,50.7,48,36.2,102183,29.2,1405.2,1,59.6,0,0.1,468.8,0,1061.2,576.9,778.4,755.6,1890.5,1928.7,1886.3,1875.7,2.414,0.198,0.05,0.024,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -91,7310688,2019-12-13T18:54:07Z,2019-12-13T13:54:07Z,SN000-063,50.8,48.1,36,102184,29.2,1422.3,0.8,56,0,0.1,469,0,1061.4,579.3,779.6,757.5,1890.4,1928.8,1886.5,1875.6,2.462,0.206,0.05,0.025,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -92,7310682,2019-12-13T18:53:07Z,2019-12-13T13:53:07Z,SN000-063,51,48.2,35.7,102187,29.2,1385.8,1,60.6,0,0.1,469.8,0,1061.3,579,780.6,758.9,1890.7,1929.1,1886.8,1875.7,2.468,0.213,0.058,0.029,0.002,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -93,7310676,2019-12-13T18:52:07Z,2019-12-13T13:52:07Z,SN000-063,51.1,48.3,35.5,102183,29.2,1384.2,1,60.4,0,0.1,466,0,1061.4,582.4,781.5,760.3,1890.7,1929.5,1886.9,1875.5,2.444,0.209,0.056,0.025,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -94,7310671,2019-12-13T18:51:07Z,2019-12-13T13:51:07Z,SN000-063,51.2,48.5,35.3,102188,29.1,1432.2,0.8,59.9,0,0.1,473,0,1062.6,585.4,782.9,762.1,1891.1,1929.6,1887.5,1875.8,2.416,0.2,0.053,0.024,0.002,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -95,7310515,2019-12-13T18:50:07Z,2019-12-13T13:50:07Z,SN000-063,51.4,48.6,35.1,102191,29.2,1413.2,1,63,0,0.1,469.2,0,1062.7,586.2,783.3,763.5,1892.1,1930,1888.7,1875.5,2.386,0.201,0.053,0.026,0.002,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -96,7310507,2019-12-13T18:49:07Z,2019-12-13T13:49:07Z,SN000-063,51.5,48.7,34.9,102192,29.1,1437.8,0.8,60.9,0,0.1,469.2,0,1064.2,588.5,784.2,765.1,1892.8,1930.2,1889.6,1875.7,2.361,0.192,0.053,0.023,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -97,7310499,2019-12-13T18:48:07Z,2019-12-13T13:48:07Z,SN000-063,51.6,48.8,34.6,102192,29.1,1392.5,1,57.4,0,0.1,467.5,0,1065.8,591.7,785.1,766.6,1893.2,1930.1,1890.6,1875.5,2.358,0.199,0.053,0.024,0.002,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -98,7310494,2019-12-13T18:47:07Z,2019-12-13T13:47:07Z,SN000-063,51.8,48.9,34.3,102190,29,1434,0.8,61.5,0,0.1,475,0,1066.4,593.6,785.5,768,1894.3,1931,1892.1,1875.8,2.372,0.2,0.053,0.024,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -99,7310490,2019-12-13T18:46:07Z,2019-12-13T13:46:07Z,SN000-063,51.9,49,34,102194,28.9,1439.7,1,58.1,0,0.1,467,0,1066.5,597.9,787.1,769.6,1895.3,1931,1893.5,1875.7,2.328,0.195,0.051,0.023,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION -100,7310347,2019-12-13T18:45:07Z,2019-12-13T13:45:07Z,SN000-063,52,49.1,33.6,102206,28.8,1415.7,0.8,61.1,0,0.1,467,0,1068,600.9,787.3,770.4,1896.2,1931.4,1894.8,1875.6,2.278,0.194,0.051,0.025,0.001,0,0,0,0,0,0,0,0,0,0,10,42.517986,-71.273705,0,CALIBRATION \ No newline at end of file diff --git a/tests/files/arisense/ref/ref.csv b/tests/files/arisense/ref/ref.csv deleted file mode 100644 index fddf80c..0000000 --- a/tests/files/arisense/ref/ref.csv +++ /dev/null @@ -1,100 +0,0 @@ -,timestamp,caps_no2,co2,no,no2,co,o3 -0,12/7/19 0:00,9.487,525.119,2.494,10.139,211.889,-4.12 -1,12/7/19 0:01,9.64,523.499,2.484,10.189,216.5,-3.889 -2,12/7/19 0:02,9.585,523.361,2.476,10.239,219,-3.767 -3,12/7/19 0:03,9.429,522.993,2.47,10.279,217.75,-3.383 -4,12/7/19 0:04,9.321,523.596,2.478,10.297,222.333,-3.671 -5,12/7/19 0:05,9.237,524.776,2.458,10.338,221.455,-3.838 -6,12/7/19 0:06,9.308,524.883,2.462,10.348,223.4,-3.72 -7,12/7/19 0:07,9.203,525.741,2.474,10.349,221.857,-3.833 -8,12/7/19 0:08,9.149,529.484,2.48,10.322,218.25,-3.66 -9,12/7/19 0:09,9.202,530.092,2.518,10.257,221.625,-3.788 -10,12/7/19 0:10,9.138,530.74,2.541,10.192,222,-3.46 -11,12/7/19 0:11,9.147,530.308,2.548,10.15,216.9,-3.675 -12,12/7/19 0:12,5.808,530.81,2.55,10.133,212.727,-3.733 -13,12/7/19 0:13,5.165,528.401,2.561,10.116,218.818,-3.733 -14,12/7/19 0:14,9.312,528.273,2.577,10.112,224.143,-3.922 -15,12/7/19 0:15,9.339,527.302,2.578,10.124,219.333,-3.857 -16,12/7/19 0:16,9.273,529.196,2.576,10.143,217.25,-4.117 -17,12/7/19 0:17,9.321,528.775,2.57,10.156,214.545,-3.457 -18,12/7/19 0:18,9.364,526.389,2.581,10.163,216.273,-3.371 -19,12/7/19 0:19,9.271,524.916,2.584,10.182,216.556,-3.54 -20,12/7/19 0:20,9.244,525.108,2.605,10.181,225.417,-3.786 -21,12/7/19 0:21,9.307,523.754,2.619,10.2,225.444,-3.829 -22,12/7/19 0:22,9.224,525.409,2.629,10.198,224.222,-3.343 -23,12/7/19 0:23,9.3,524.883,2.662,10.153,221.833,-3.443 -24,12/7/19 0:24,9.22,524.599,2.679,10.131,222,-4.088 -25,12/7/19 0:25,9.315,524.584,2.683,10.128,213.6,-4.029 -26,12/7/19 0:26,9.198,527.845,2.689,10.142,207.667,-3.986 -27,12/7/19 0:27,9.206,526.776,2.698,10.138,216,-4.08 -28,12/7/19 0:28,5.898,524.952,2.708,10.133,218.583,-4.088 -29,12/7/19 0:29,4.625,524.182,2.717,10.116,220.636,-3.833 -30,12/7/19 0:30,9.288,525.985,2.723,10.145,222.167,-3.85 -31,12/7/19 0:31,9.275,525.573,2.708,10.206,224.9,-3.986 -32,12/7/19 0:32,9.315,526.398,2.703,10.251,225.778,-3.9 -33,12/7/19 0:33,9.308,526.296,2.717,10.257,232.111,-3.613 -34,12/7/19 0:34,9.281,524.911,2.72,10.252,231.444,-3.587 -35,12/7/19 0:35,9.392,524.952,2.733,10.264,227.364,-3.55 -36,12/7/19 0:36,9.307,524.155,2.73,10.286,218.8,-3.667 -37,12/7/19 0:37,9.34,522.093,2.733,10.326,221.182,-3.456 -38,12/7/19 0:38,9.308,522.038,2.751,10.301,228.6,-4.236 -39,12/7/19 0:39,9.367,523.54,2.774,10.304,232.667,-4.567 -40,12/7/19 0:40,9.315,522.649,2.776,10.312,230.727,-3.514 -41,12/7/19 0:41,9.271,522.519,2.778,10.331,228.778,-3.556 -42,12/7/19 0:42,9.274,526.485,2.79,10.336,230.636,-3.956 -43,12/7/19 0:43,9.303,531.872,2.804,10.327,232.833,-3.56 -44,12/7/19 0:44,6.516,533.27,2.825,10.298,238.8,-3.97 -45,12/7/19 0:45,4.988,537.818,2.839,10.297,235.444,-4.3 -46,12/7/19 0:46,9.411,530.991,2.838,10.34,238.8,-3.96 -47,12/7/19 0:47,9.373,526.616,2.848,10.361,239.3,-3.88 -48,12/7/19 0:48,9.432,522.518,2.873,10.349,241.273,-3.543 -49,12/7/19 0:49,9.424,520.561,2.879,10.36,229.182,-3.8 -50,12/7/19 0:50,9.38,520.22,2.886,10.317,222.091,-4.113 -51,12/7/19 0:51,9.435,522.541,2.896,10.33,230.3,-3.975 -52,12/7/19 0:52,9.385,524.183,2.913,10.35,235.3,-4.013 -53,12/7/19 0:53,9.402,525.546,2.926,10.347,242.2,-4.09 -54,12/7/19 0:54,9.381,524.207,2.955,10.296,239.727,-3.9 -55,12/7/19 0:55,9.376,524.362,2.971,10.265,241.8,-4.136 -56,12/7/19 0:56,9.452,522.519,2.987,10.246,245.333,-4.257 -57,12/7/19 0:57,9.477,520.653,3.016,10.224,249.111,-4.06 -58,12/7/19 0:58,9.444,519.946,3.044,10.243,242.333,-3.927 -59,12/7/19 0:59,9.455,520.792,3.059,10.244,246.5,-3.714 -60,12/7/19 1:00,7.601,521.384,3.08,10.252,250.545,-3.82 -61,12/7/19 1:01,4.92,518.457,3.084,10.269,256.556,-3.733 -62,12/7/19 1:02,9.529,516.413,3.086,10.278,257.222,-3.929 -63,12/7/19 1:03,9.608,514.887,3.095,10.305,254.3,-4.278 -64,12/7/19 1:04,9.577,513.361,3.118,10.33,248.667,-3.922 -65,12/7/19 1:05,9.486,512.72,3.135,10.337,243.182,-3.6 -66,12/7/19 1:06,9.41,511.539,3.147,10.362,237.25,-3.786 -67,12/7/19 1:07,9.368,510.553,3.173,10.335,242,-4.17 -68,12/7/19 1:08,9.359,509.408,3.192,10.314,243.667,-4.156 -69,12/7/19 1:09,9.327,508.55,3.217,10.279,245.2,-4 -70,12/7/19 1:10,9.361,508.188,3.227,10.256,247.889,-3.7 -71,12/7/19 1:11,9.31,507.087,3.25,10.229,243.2,-3.678 -72,12/7/19 1:12,9.315,506.303,3.252,10.215,247,-3.7 -73,12/7/19 1:13,9.36,505.456,3.27,10.225,248.7,-3.763 -74,12/7/19 1:14,9.286,504.924,3.298,10.193,252.375,-3.817 -75,12/7/19 1:15,9.249,504.261,3.307,10.209,252,-3.529 -76,12/7/19 1:16,6.743,503.41,3.312,10.2,249.571,-3.45 -77,12/7/19 1:17,3.762,502.712,3.325,10.194,245,-3.929 -78,12/7/19 1:18,9.276,502.044,3.344,10.208,249.455,-4.017 -79,12/7/19 1:19,9.321,501.562,3.354,10.213,257.909,-3.717 -80,12/7/19 1:20,9.353,501.12,3.373,10.209,257.6,-3.913 -81,12/7/19 1:21,9.358,500.773,3.373,10.196,259.182,-4.117 -82,12/7/19 1:22,9.386,500.295,3.389,10.194,249.3,-4.143 -83,12/7/19 1:23,9.301,499.853,3.408,10.184,236.833,-3.671 -84,12/7/19 1:24,9.276,499.301,3.426,10.19,232.091,-3.55 -85,12/7/19 1:25,9.29,498.877,3.45,10.195,234.273,-3.65 -86,12/7/19 1:26,9.26,498.483,3.472,10.187,240.545,-3.933 -87,12/7/19 1:27,9.323,498.15,3.499,10.144,242.25,-3.909 -88,12/7/19 1:28,9.3,499.35,3.53,10.126,239.778,-4.3 -89,12/7/19 1:29,9.301,504.028,3.545,10.135,242.3,-4.278 -90,12/7/19 1:30,9.313,506.079,3.566,10.114,242.818,-4.05 -91,12/7/19 1:31,9.294,507.859,3.595,10.103,241,-4.075 -92,12/7/19 1:32,7.411,506.398,3.618,10.134,246.778,-3.75 -93,12/7/19 1:33,3.887,504.423,3.64,10.132,250.455,-3.425 -94,12/7/19 1:34,9.32,506.174,3.672,10.145,243.889,-3.883 -95,12/7/19 1:35,9.37,506.367,3.7,10.182,238.5,-4.45 -96,12/7/19 1:36,9.455,507.188,3.732,10.179,244.7,-4.256 -97,12/7/19 1:37,9.477,507.388,3.79,10.173,255.167,-3.817 -98,12/7/19 1:38,9.48,509.554,3.822,10.199,257.286,-3.64 diff --git a/tests/test_clean.py b/tests/test_clean.py index a61b744..9d23dfe 100644 --- a/tests/test_clean.py +++ b/tests/test_clean.py @@ -17,27 +17,6 @@ def setUp(self): def tearDown(self): shutil.rmtree(self.test_dir) - def test_clean_file_arisense_db(self): - runner = CliRunner() - result = runner.invoke(clean_command, - [ - os.path.join(self.test_files_dir, "arisense/SN000-063-db-file1.csv"), - "-o", - os.path.join(self.test_dir, "output.csv"), - ], - catch_exceptions=False - ) - - # did it succeed? - self.assertEqual(result.exit_code, 0) - - # make sure the file exists - p = Path(self.test_dir + "/output.csv") - self.assertTrue(p.exists()) - - # is it a csv? - self.assertEqual(p.suffix, ".csv") - def test_clean_file_modulairpm_rawsd(self): runner = CliRunner() result = runner.invoke(clean_command, diff --git a/tests/test_concat.py b/tests/test_concat.py index 936e47f..5ea959b 100644 --- a/tests/test_concat.py +++ b/tests/test_concat.py @@ -17,44 +17,6 @@ def setUp(self): def tearDown(self): shutil.rmtree(self.test_dir) - def test_concat_files_csv_arisense_db(self): - runner = CliRunner() - result = runner.invoke(concat_command, - [ - "-o", - os.path.join(self.test_dir, "output.csv"), - "--log-level", - "DEBUG", - os.path.join(self.test_files_dir, "arisense/SN000-063-db-file1.csv"), - os.path.join(self.test_files_dir, "arisense/SN000-063-db-file2.csv"), - ], - catch_exceptions=False - ) - - # did it succeed? - self.assertEqual(result.exit_code, 0) - - # did it output the correct text? - self.assertTrue("Saving file" in result.output) - - # make sure the file exists - p = Path(self.test_dir + "/output.csv") - self.assertTrue(p.exists()) - - # is it a csv? - self.assertEqual(p.suffix, ".csv") - - # are the number of lines correct? - df1 = safe_load(os.path.join(self.test_files_dir, "arisense/SN000-063-db-file1.csv")) - df2 = safe_load(os.path.join(self.test_files_dir, "arisense/SN000-063-db-file2.csv")) - df3 = safe_load(os.path.join(self.test_dir, "output.csv")).sort_values('timestamp') - - self.assertEqual(df1.shape[0] + df2.shape[0], df3.shape[0]) - - # Are the timestamps correct? - for i, (_, r) in enumerate(df2.sort_values('timestamp').head().iterrows()): - self.assertEqual(r['timestamp'], df3.loc[i, "timestamp"]) - def test_concat_files_modulairx_rawsd(self): runner = CliRunner() result = runner.invoke(concat_command, diff --git a/tests/test_resample.py b/tests/test_resample.py index 6d01519..53d908c 100644 --- a/tests/test_resample.py +++ b/tests/test_resample.py @@ -23,40 +23,6 @@ def setUp(self): def tearDown(self): shutil.rmtree(self.test_dir) - def test_resample_files_csv(self): - runner = CliRunner() - result = runner.invoke(resample_command, - [ - "-o", - os.path.join(self.test_dir, "output.csv"), - "--log-level", - "DEBUG", - os.path.join(self.test_files_dir, "arisense/ref/ref.csv"), - "10min", - ], catch_exceptions=False - ) - - # did it succeed? - self.assertEqual(result.exit_code, 0) - - # did it output the correct text? - self.assertTrue("Saving file" in result.output) - - # make sure the file exists - p = Path(self.test_dir + "/output.csv") - self.assertTrue(p.exists()) - - # is it a csv? - self.assertEqual(p.suffix, ".csv") - - # are the number of lines correct? - df = pd.read_csv(os.path.join(self.test_dir, "output.csv")) - df['timestamp'] = df['timestamp'].map(pd.to_datetime) - - idx = df.timestamp.values - - self.assertEqual((idx[1] - idx[0]) / np.timedelta64(1, 's'), 600.0) - def test_resample_modulair_db(self): runner = CliRunner() result = runner.invoke(resample_command, From 349b3883f35ec7b5254f2f0ec8e75e9ab654ca13 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Thu, 2 Jul 2026 13:44:34 -0400 Subject: [PATCH 42/60] Update docstrings with types, add helper for fixing timestamps --- quantaq_py/cli.py | 17 ++++--- quantaq_py/toolkit/concat.py | 15 ++++-- quantaq_py/toolkit/expunge.py | 13 +++-- quantaq_py/toolkit/flag.py | 77 ++++++++++++++-------------- quantaq_py/toolkit/merge.py | 32 ++++++------ quantaq_py/toolkit/munge.py | 26 +++++----- quantaq_py/utilities.py | 96 ++++++++++++++++++++++++++++++----- quantaq_py/variables.py | 27 +++++++--- 8 files changed, 201 insertions(+), 102 deletions(-) diff --git a/quantaq_py/cli.py b/quantaq_py/cli.py index c0a8ff1..643fecc 100644 --- a/quantaq_py/cli.py +++ b/quantaq_py/cli.py @@ -33,6 +33,7 @@ def main(ctx): type=click.Choice(LOG_LEVELS, case_sensitive=False), help="loguru log level (default: INFO)") def concat_command(files, output, log_level): + """Concat FILES and save to OUTPUT.""" configure_logging(log_level) # make sure the extension is valid @@ -63,7 +64,6 @@ def concat_command(files, output, log_level): help="loguru log level (default: INFO)") def merge_command(files, output, tscol, log_level): """Merge FILES together and save to OUTPUT.""" - configure_logging(log_level) # make sure the extension is either a csv or parquet format @@ -105,6 +105,7 @@ def merge_command(files, output, tscol, log_level): def resample_command(file, rule, output, log_level, **kwargs): """Resample FILE at INTERVAL and save to OUTPUT.""" configure_logging(log_level) + on = kwargs.pop("on", "timestamp") by = kwargs.pop("by", None) wind = kwargs.pop("wind", WIND_COLUMNS) @@ -151,6 +152,7 @@ def resample_command(file, rule, output, log_level, **kwargs): type=click.Choice(LOG_LEVELS, case_sensitive=False), help="loguru log level (default: INFO)") def flag_command(file, output, log_level): + """Flag FILE and save to OUTPUT.""" configure_logging(log_level) # make sure the extension is either a csv or parquet format @@ -188,7 +190,7 @@ def flag_command(file, output, log_level): type=click.Choice(LOG_LEVELS, case_sensitive=False), help="loguru log level (default: INFO)") def expunge_command(file, output, log_level, dry_run): - + """Expunge FILE and save to OUTPUT.""" configure_logging(log_level) output = Path(output) @@ -219,22 +221,21 @@ def expunge_command(file, output, log_level, dry_run): @click.command("clean") -@click.argument("filepath", nargs=1, type=click.Path()) +@click.argument("file", nargs=1, type=click.Path()) @click.option("-o", "--output", default="output.csv", help="The filepath where you would like to save the file", type=str) @click.option("--log-level", default="INFO", type=click.Choice(LOG_LEVELS, case_sensitive=False), help="loguru log level (default: INFO)") -def clean_command(filepath, output, log_level): - """Clean FILEPATH and save to SAVEPATH. - """ +def clean_command(file, output, log_level): + """Clean FILE and save to OUTPUT.""" configure_logging(log_level) output = Path(output) if output.suffix not in (".csv", ".parquet"): raise InvalidFileExtension("Invalid file extension") - logger.info("Cleaning data for {}", filepath) - df = safe_load(filepath) + logger.info("Cleaning data for {}", file) + df = safe_load(file) df = clean_dataframe(df) # save the file logger.info("Saving file to {}", output) diff --git a/quantaq_py/toolkit/concat.py b/quantaq_py/toolkit/concat.py index d6cc510..a3ce545 100644 --- a/quantaq_py/toolkit/concat.py +++ b/quantaq_py/toolkit/concat.py @@ -1,10 +1,18 @@ from loguru import logger import pandas as pd -from quantaq_py.utilities import safe_load, determine_timestamp_column +from quantaq_py.utilities import safe_load, fix_timestamps def concat_files(files): - # read all files + """Concatenate multiple files into a single DataFrame and sort based on a + timestamp column. + + Args: + files (list): List of file paths to concatenate. + + Returns: + pd.DataFrame: Concatenated and sorted DataFrame. + """ data = [] logger.info("Parsing {} files", len(files)) for f in files: @@ -17,8 +25,7 @@ def concat_files(files): df = pd.concat(data, sort=False) # sort based on a time column - tscol = determine_timestamp_column(df) - df = df.sort_values(by=tscol) + df = fix_timestamps(df, sort_values=True) if df.empty: raise Exception("No data") diff --git a/quantaq_py/toolkit/expunge.py b/quantaq_py/toolkit/expunge.py index d760cc3..1ada74f 100644 --- a/quantaq_py/toolkit/expunge.py +++ b/quantaq_py/toolkit/expunge.py @@ -1,19 +1,26 @@ import numpy as np +from loguru import logger from quantaq_py.utilities import determine_timestamp_column from quantaq_py.variables import FLAG_DEFINITIONS def expunge_dataframe(df): - + """Expunge a DataFrame based on values in the flag column. + + Args: + df (pd.DataFrame): DataFrame to expunge. + """ # get the flags (in the future, this will come from the file itself) list_of_flags = FLAG_DEFINITIONS # force the flag column to be an int df["flag"] = df["flag"].astype(int, errors='ignore') - # Drop NaNs - df = df.dropna(how='any', subset=["flag"]) + # Drop nan flags (should never happen) + if df["flag"].isna().any(): + logger.warning("Dropping {} rows with NaN flags", df["flag"].isna().sum()) + df = df.dropna(how='any', subset=["flag"]) for label, value, cols in list_of_flags: mask = df["flag"] & value == value diff --git a/quantaq_py/toolkit/flag.py b/quantaq_py/toolkit/flag.py index dca6a90..3e0ceb6 100644 --- a/quantaq_py/toolkit/flag.py +++ b/quantaq_py/toolkit/flag.py @@ -10,12 +10,26 @@ from quantaq_py.exceptions import InvalidFileExtension, InvalidArgument, InvalidDeviceModel from quantaq_py.variables import FLAG_DEFINITIONS, SUPPORTED_MODELS, SUPPORTED_SOURCES -from quantaq_py.variables import Range, Gap, get_flag_criteria -from quantaq_py.utilities import determine_timestamp_column, safe_load +from quantaq_py.variables import Range, Gap, flag_name_to_criteria +from quantaq_py.utilities import fix_timestamps, determine_timestamp_column from quantaq_py.utilities import infer_data_source, infer_data_model -def add_flag(df, flag_name, flag_value, criterion): +def _add_flag(df, flag_name, flag_value, criterion): + """Add a specific flag to a DataFrame based on a given criterion. + + For each row that meets the specified criterion, this function modifies the 'flag' + column by applying a bitwise OR operation with the given flag value. + + Args: + df (pd.DataFrame): DataFrame to which the flag will be added. + flag_name (str): Name of the flag to be added. + flag_value (int): Bitmask value of the flag to be added. + criterion (Range or Gap): Logic based on which the flag will be added. + + Returns: + pd.DataFrame: DataFrame with the flag added. + """ if isinstance(criterion, Range): if criterion.column in df.columns: col = df[criterion.column] @@ -28,15 +42,10 @@ def add_flag(df, flag_name, flag_value, criterion): ) elif isinstance(criterion, Gap): - # Find best timestamp column. + # sort based on a time column + df = fix_timestamps(df, sort_values=True) tscol = determine_timestamp_column(df) - # Force timestamp type - df[tscol] = df[tscol].map(pd.to_datetime) - - # Sort by timestamp - df = df.sort_values(tscol) - # Create a column to hold the time diff df["tdiff"] = df[tscol].diff().dt.total_seconds() @@ -63,16 +72,11 @@ def add_flag(df, flag_name, flag_value, criterion): def flag_summary(df): """Create a table with a summary of flags. - Parameters - ---------- - sensor_df - DataFrame with flags to summarize. - - Returns - ------- - A new DataFrame, suitable for human consumption. - - TO DO: move this to flag.py after merging sc-20242 + Args: + df (pd.DataFrame): DataFrame with flags to summarize. + + Returns: + pd.DataFrame: A new DataFrame, suitable for human consumption. """ # create flag column if it doesn't exist @@ -98,12 +102,8 @@ def flag_summary(df): def echo_flag_table(df): """Print a table of flag statistics for a DataFrame. - Parameters - ---------- - sensor_df - DataFrame to describe. - - TO DO: move this to flag.py after merging sc-20242 + Args: + df (pd.DataFrame): DataFrame with flags to summarize. """ explained_df = flag_summary(df) @@ -119,23 +119,22 @@ def echo_flag_table(df): rich.print(table) def flag_dataframe(df): - """ - df = pandas dataframe to be flagged (or re-flagged) - model = the sensor model (in SUPPORTED_MODELS) - source = the data source (database or rawsd, eventually cloudAPI as well) + """Re-flags a DataFrame by iterating through the FLAG_DEFINITIONS and calling + the _add_flag() function one-by-one. + + Args: + df (pd.DataFrame): DataFrame to be flagged (or re-flagged). + + Returns: + pd.DataFrame: The flagged DataFrame. """ df = df.copy() model = infer_data_model(df) source = infer_data_source(df) - # ensure the model is valid - if model not in SUPPORTED_MODELS: - raise InvalidDeviceModel("Invalid device model. Must be one of {}".format(SUPPORTED_MODELS)) - - # ensure the data source is valid - if source not in SUPPORTED_SOURCES: - raise NotImplementedError # add this to exceptions + # get flag criteria (this also checks if model and data source is valid) + name_to_criteria = flag_name_to_criteria(source, model).items() # create flag column if it doesn't exist if "flag" not in df.columns: @@ -145,8 +144,8 @@ def flag_dataframe(df): FLAG_VALUES = {flag.name: flag.value for flag in FLAG_DEFINITIONS} # set the flag for each flag_name and their respective crtieria - for flag_name, criteria in get_flag_criteria(source, model).items(): + for flag_name, criteria in name_to_criteria: flag_value = FLAG_VALUES[flag_name] for criterion in criteria: - df = add_flag(df, flag_name, flag_value, criterion) + df = _add_flag(df, flag_name, flag_value, criterion) return df diff --git a/quantaq_py/toolkit/merge.py b/quantaq_py/toolkit/merge.py index 74bef79..9a3d8eb 100644 --- a/quantaq_py/toolkit/merge.py +++ b/quantaq_py/toolkit/merge.py @@ -1,18 +1,28 @@ from loguru import logger import pandas as pd -from pandas.api.types import is_datetime64_any_dtype, is_timedelta64_dtype -from quantaq_py.utilities import safe_load +from quantaq_py.utilities import safe_load, fix_timestamps def merge_files(files, tscol="timestamp"): - """Merge multiple files on a timestamp column.""" + """Merge multiple files on a timestamp column. + + Args: + files (list): List of file paths to merge. + tscol (str, optional): Name of the timestamp column. Default is "timestamp". + + Returns: + pd.DataFrame: the merged DataFrame + """ # create an array of timestamp column names to try tscols = [tscol, "timestamp", "timestamp_local"] df = pd.DataFrame() logger.info("Parsing {} files", len(files)) + + # Find the best timestamp column from the first file, and use it for merging + # if found in subsequent files. for f in files: logger.debug("Parsing {}", f) tmp = safe_load(f) @@ -26,21 +36,13 @@ def merge_files(files, tscol="timestamp"): if not tscol in tmp.columns: logger.debug("Time {} was not found in the file; skipping file.", tscol) continue - - # convert the timestamp column to a pandas datetime - if not (is_datetime64_any_dtype(tmp[tscol]) or is_timedelta64_dtype(tmp[tscol])): - tmp[tscol] = tmp[tscol].apply(lambda x: pd.to_datetime(x, errors='coerce')) - # drop the bad rows - tmp = tmp.dropna(how='any', subset=[tscol]) - - # localize the timezone if needed - tmp[tscol] = tmp[tscol].apply(lambda x: x.tz_localize("UTC") if not x.tzinfo else x) - - # set the index - tmp.set_index(tscol, inplace=True) + # Fix timestamps, if needed + tmp = fix_timestamps(tmp, set_index=True, sort_values=True, localize_tz=True) # merge with the other files df = pd.merge(df, tmp, left_index=True, right_index=True, how='outer') + df = df.reset_index() # bring timestamp back as a column named `tscol` + return df diff --git a/quantaq_py/toolkit/munge.py b/quantaq_py/toolkit/munge.py index 6688c1d..cb6bb19 100644 --- a/quantaq_py/toolkit/munge.py +++ b/quantaq_py/toolkit/munge.py @@ -1,32 +1,30 @@ import numpy as np from pathlib import Path import pandas as pd +from loguru import logger from quantaq_py.exceptions import InvalidFileExtension -from quantaq_py.utilities import determine_timestamp_column +from quantaq_py.utilities import fix_timestamps def clean_dataframe(df): """Load a dataframe, clean it, and save to csv. - Removes corrupt data and force columns to be the - desired column type based on the specific column. + Args: + df (pd.DataFrame): DataFrame to clean. """ - # Fix the timestamp column(s) - for c in ('timestamp', 'timestamp_local', 'timestamp_iso'): - if c in df.columns: - df[c] = pd.to_datetime(df[c], errors='coerce') - - # Set the index - tscol = determine_timestamp_column(df) - df = df.set_index(tscol) + # Fix the timestamp columns -- only if needed + df = fix_timestamps(df) # Force everything to be numeric - df = df.apply(pd.to_numeric, errors='coerce') + #df = df.apply(pd.to_numeric, errors='coerce') # is this necessary? # Drop the NaNs #df = df.dropna(how='any') # drop rows if ANY column is nan - df = df.dropna(how='all') # drop rows if EVERY column is nan - + all_nan_mask = df.isnull().all(axis=1) + if all_nan_mask.any(): + logger.warning("Dropping {} rows with all NaN values", all_nan_mask.sum()) + df = df.dropna(how='all') # drop rows if ALL columns are nan + return df diff --git a/quantaq_py/utilities.py b/quantaq_py/utilities.py index 97ab44e..a82cf62 100644 --- a/quantaq_py/utilities.py +++ b/quantaq_py/utilities.py @@ -7,12 +7,19 @@ from quantaq_py.exceptions import InvalidFileExtension from quantaq_py.schema import build_dtype_schema, COLUMN_DEFINITIONS - def infer_data_source(df): - # Determine the best timestamp column and sort + """Determine the data source (rawSD, cloudAPI, or database) from the + sampling frequency in the dataframe. + + Args: + df (pd.DataFrame): DataFrame to check. + + Returns: + str: the data source (i.e. "rawsd", "cloudapi", or "database") + """ + + df = fix_timestamps(df, sort_values=True) tscol = determine_timestamp_column(df) - df[tscol] = pd.to_datetime(df[tscol]) - df = df.sort_values(tscol) # Grab the tdiff between consecutive rows df["tdiff"] = df[tscol].diff().dt.total_seconds() @@ -38,6 +45,14 @@ def infer_data_source(df): raise NotImplementedError def infer_data_model(df): + """Infers the device model from the serial number in a dataframe. + + Args: + df (pd.DataFrame): DataFrame to check. + + Returns: + str: the device model / data model + """ if "sn" not in df.columns: logger.error("No serial number column found in dataframe, set `add_sn_column=True` when calling `safe_load`.") raise ValueError @@ -51,16 +66,26 @@ def infer_data_model(df): def sn_to_model(device_sn): """Map a device serial number to its model string. - MOD-00246 -> modulair - MOD-PM-00933 -> modulair-pm - MOD-X-00993 -> modulair-x - MOD-X-PM-01685 -> modulair-x-pm + + Args: + device_sn (str): a device serial number (i.e. 'MOD-X-PM-01685') + + Returns: + str: name of the device model / data model (i.e. 'modulair-x-pm') """ prefix, _, _ = device_sn.rpartition("-") return prefix.lower().replace("mod", "modulair", 1) def safe_load(fpath, coerce_dtypes=False): - """Load a CSV or parquet file""" + """Load a CSV or parquet file. + + Args: + fpath (str or Path): Path to the CSV or parquet file. + coerce_dtypes (bool): Whether to coerce dtypes to expected types. + + Returns: + pd.DataFrame: Loaded DataFrame. + """ p = Path(fpath) @@ -112,10 +137,55 @@ def safe_load(fpath, coerce_dtypes=False): return tmp -def determine_timestamp_column(sensor_df: pd.DataFrame) -> str: - """Find the best column to use for timestamps.""" +def determine_timestamp_column(df): + """Find the best column to use for timestamps. + + Args: + df (pd.DataFrame): DataFrame to check. + + Returns: + str: Name of the timestamp column. + """ for col in ("timestamp_iso", "timestamp", "timestamp_local"): - if col in sensor_df.columns: + if col in df.columns: return col - raise ValueError(f"Couldn't find a timestamp column: {sensor_df.columns}") + raise ValueError(f"Couldn't find a timestamp column: {df.columns}") + +def fix_timestamps(df, set_index=False, sort_values=False, localize_tz=False): + """Fix the timestamps (convert to datetime index, sort by + timestamp, drop nans.) + + Args: + df (pd.DataFrame): DataFrame to fix. + set_index (bool): Whether to set the best timestamp column + as the DataFrame's index. Default is False. + sort_values (bool): Whether to sort the DataFrame by the + best timestamp column. Default is False. + localize_tz (bool): Whether to localize naive timestamps + to UTC. Default is False. + """ + # Convert timestamp columns to datetime, if needed + for c in ('timestamp', 'timestamp_local', 'timestamp_iso'): + if c in df.columns and not pd.api.types.is_datetime64_any_dtype(df[c]): + df[c] = pd.to_datetime(df[c], errors='coerce') + + # Set index to best timestamp column, if not already set + tscol = determine_timestamp_column(df) + + # Sort the dataframe by the best timestamp column + if sort_values: + df = df.sort_values(by=tscol) + + # localize the timezone if needed + if localize_tz: + df[tscol] = df[tscol].apply(lambda x: x.tz_localize("UTC") if not x.tzinfo else x) + + # Drop rows with NaN/NaT datetime indices + df = df.dropna(how='any', subset=[tscol]) + + if set_index: + if df.index.name != tscol: + df = df.set_index(tscol) + + return df diff --git a/quantaq_py/variables.py b/quantaq_py/variables.py index 34fcae7..de8035c 100644 --- a/quantaq_py/variables.py +++ b/quantaq_py/variables.py @@ -26,7 +26,7 @@ "pm1_std", "pm25_std", "pm10_std", "pm1_env", "pm25_env", "pm10_env", "neph_pm1_std", "neph_pm25_std", "neph_pm10_std", - "neph_pm1_env", "neph_pm25_env", "neph_pm10_env" + "neph_pm1_env", "neph_pm25_env", "neph_pm10_env", "neph_bin0", "neph_bin1", "neph_bin2", "neph_bin3", "neph_bin4", "neph_bin5", ] @@ -127,15 +127,30 @@ # (besides name of column to be flagged) FLAG_CRITERIA["cloudapi"] = FLAG_CRITERIA["database"] -SUPPORTED_SOURCES = FLAG_CRITERIA.keys() +SUPPORTED_SOURCES = tuple(FLAG_CRITERIA.keys()) + +def flag_name_to_criteria(source, model): + """Return the flag criteria for a given data source and data model. + + Args: + source (str): the data source (in SUPPORTED_SOURCES) + model (str): the device model (in SUPPORTED_MODELS) + + Returns: + dict: Mapping of flag name to flag criteria. -def get_flag_criteria(source, model): - """ - source = 'rawsd' or 'database' - model = 'default', 'modulair', 'modulair-x' """ + if source not in SUPPORTED_SOURCES: + logger.error("Unsupported source: {!r}", source) + raise ValueError + + if model not in SUPPORTED_MODELS: + logger.error("Unsupported model: {!r}", model) + raise ValueError + if source == 'rawsd': logger.debug("{!r} flag criteria are not yet defined", source) raise NotImplementedError + by_model = FLAG_CRITERIA[source] return by_model[model] From 2ca1564b60e5cc9913e7616bfd4615495038de95 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Thu, 2 Jul 2026 14:36:16 -0400 Subject: [PATCH 43/60] Add MOD-UFP to sn_to_model docstrings and tests --- quantaq_py/utilities.py | 6 ++++++ tests/test_utilities.py | 1 + 2 files changed, 7 insertions(+) diff --git a/quantaq_py/utilities.py b/quantaq_py/utilities.py index a82cf62..61c20e1 100644 --- a/quantaq_py/utilities.py +++ b/quantaq_py/utilities.py @@ -67,6 +67,12 @@ def infer_data_model(df): def sn_to_model(device_sn): """Map a device serial number to its model string. + MOD-00246 -> modulair + MOD-PM-00933 -> modulair-pm + MOD-X-00993 -> modulair-x + MOD-X-PM-01685 -> modulair-x-pm + MOD-UFP-01685 -> modulair-ufp + Args: device_sn (str): a device serial number (i.e. 'MOD-X-PM-01685') diff --git a/tests/test_utilities.py b/tests/test_utilities.py index 10d29a0..10c0f55 100644 --- a/tests/test_utilities.py +++ b/tests/test_utilities.py @@ -22,6 +22,7 @@ def test_sn_to_model(self): ("MOD-PM-00933", "modulair-pm"), ("MOD-X-00993", "modulair-x"), ("MOD-X-PM-01685", "modulair-x-pm"), + ("MOD-UFP-01685", "modulair-ufp"), ] for sn, expected in cases: with self.subTest(sn=sn): From d838aaaa5b91647fabbe947907ff14dc7ea8e0d4 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Thu, 2 Jul 2026 16:04:07 -0400 Subject: [PATCH 44/60] Infer data source based on the frequency of tdiffs, add tests for modulair-ufp --- quantaq_py/utilities.py | 47 +- .../MOD-UFP-00002-rawsd-mixed-tdiffs.csv | 495 +++++++++++++++++ .../modulair-ufp/MOD-UFP-00002-rawsd.csv | 510 ++++++++++++++++++ tests/test_utilities.py | 36 +- 4 files changed, 1063 insertions(+), 25 deletions(-) create mode 100644 tests/files/modulair-ufp/MOD-UFP-00002-rawsd-mixed-tdiffs.csv create mode 100644 tests/files/modulair-ufp/MOD-UFP-00002-rawsd.csv diff --git a/quantaq_py/utilities.py b/quantaq_py/utilities.py index 61c20e1..c1bc5a7 100644 --- a/quantaq_py/utilities.py +++ b/quantaq_py/utilities.py @@ -7,41 +7,53 @@ from quantaq_py.exceptions import InvalidFileExtension from quantaq_py.schema import build_dtype_schema, COLUMN_DEFINITIONS -def infer_data_source(df): +def infer_data_source(df, tscol=None): """Determine the data source (rawSD, cloudAPI, or database) from the sampling frequency in the dataframe. Args: df (pd.DataFrame): DataFrame to check. + tscol (str): the timestamp column used to infer the sampling frequency. Returns: str: the data source (i.e. "rawsd", "cloudapi", or "database") """ df = fix_timestamps(df, sort_values=True) - tscol = determine_timestamp_column(df) + tscol = tscol if tscol is not None else determine_timestamp_column(df) # Grab the tdiff between consecutive rows df["tdiff"] = df[tscol].diff().dt.total_seconds() - tdiffs = set(df["tdiff"].dropna().unique()) - has_1min = 60.0 in tdiffs - has_5sec = 5.0 in tdiffs + # normalize=True converts counts to fraction of non-nan entries + tdiffs = df["tdiff"].dropna() + tdiff_counts = tdiffs.value_counts(normalize=True) - if has_1min and has_5sec: - logger.debug("Mixed 1-min and 5-sec sampling not supported") - raise NotImplementedError - elif has_1min: - logger.info("Reading 1-min data --> inferring database or cloud API") + # if multiple tdiffs are found, log them and their frequencies + if len(tdiffs.unique()) > 1: + breakdown = ", ".join(f"{frac:.1%}: {tdiff}s" for tdiff, frac in tdiff_counts.items()) + logger.warning("Found mixed sampling frequencies: [{}]", breakdown) + + dominant_tdiff = tdiff_counts.idxmax() + + mostly_1min = dominant_tdiff == 60.0 + mostly_5sec = dominant_tdiff == 5.0 + mostly_10sec = dominant_tdiff == 10.0 + + if mostly_1min: + logger.info(f"Reading mostly {dominant_tdiff}s data --> inferring database or cloud API") if "api_received_at" in df.columns: return "cloudapi" else: return "database" - elif has_5sec: - logger.info("Reading 5-sec data --> inferring rawSD") + elif mostly_5sec: + logger.info(f"Reading mostly {dominant_tdiff}s data --> inferring rawSD") + return "rawsd" + elif mostly_10sec: + logger.info(f"Reading mostly {dominant_tdiff}s data --> inferring rawSD for modulair-ufp") return "rawsd" else: - logger.error(f"Unrecognized sampling intervals: {sorted(tdiffs)}") + logger.error(f"Unrecognized dominant sampling intervals: {dominant_tdiff}") raise NotImplementedError def infer_data_model(df): @@ -82,12 +94,13 @@ def sn_to_model(device_sn): prefix, _, _ = device_sn.rpartition("-") return prefix.lower().replace("mod", "modulair", 1) -def safe_load(fpath, coerce_dtypes=False): +def safe_load(fpath, coerce_dtypes=True): """Load a CSV or parquet file. Args: fpath (str or Path): Path to the CSV or parquet file. - coerce_dtypes (bool): Whether to coerce dtypes to expected types. + coerce_dtypes (bool): Whether to coerce dtypes to expected types. + Default is True. Returns: pd.DataFrame: Loaded DataFrame. @@ -132,9 +145,9 @@ def safe_load(fpath, coerce_dtypes=False): schema_field_dtypes.validate(tmp, lazy=True) except pa.errors.SchemaErrors as err: logger.error("Dtype validation failed for file {}.", fpath) - logger.debug("{}", err.failure_cases.to_string()) + logger.error("{}", err.failure_cases.to_string()) if coerce_dtypes: - logger.warning("Coercing dtypes to expected types.") + logger.warning("Coercing dtypes to expected types for file {}.", fpath) dtype_map = { col: dtype for col, dtype in COLUMN_DEFINITIONS if col in tmp.columns diff --git a/tests/files/modulair-ufp/MOD-UFP-00002-rawsd-mixed-tdiffs.csv b/tests/files/modulair-ufp/MOD-UFP-00002-rawsd-mixed-tdiffs.csv new file mode 100644 index 0000000..3879357 --- /dev/null +++ b/tests/files/modulair-ufp/MOD-UFP-00002-rawsd-mixed-tdiffs.csv @@ -0,0 +1,495 @@ +deviceModel,MODULAIR-UFP +deviceID,0a10aced202194944a04af94 +deviceSN,MOD-UFP-00002 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+2026-04-17T01:24:14Z,14,0,100.0,15.5,62.4,1.770,81.00,1.770,1.7482,0.2769,1006.10,8.60,91.90,7.40,3137382,242,6901.0,7091.0,49683,3,3419.0,2706.0,1007.5,21.0,16.0,55.7,7.1,19.1,57.2,10.4,3209.0,3565.0,1760.0,8000.0,48,192,300.0,100.0,1.4, diff --git a/tests/test_utilities.py b/tests/test_utilities.py index 10c0f55..d938e68 100644 --- a/tests/test_utilities.py +++ b/tests/test_utilities.py @@ -29,14 +29,28 @@ def test_sn_to_model(self): self.assertEqual(sn_to_model(sn), expected) def test_infer_data_model(self): - file = os.path.join( - self.test_files_dir, "modulair-x/MOD-X-00891-rawsd-file1.csv" - ) - expected = "modulair-x" - df = safe_load(file) - result = infer_data_model(df) + df1 = safe_load(os.path.join( + self.test_files_dir, "modulair-pm/MOD-PM-00001-rawsd-file1.csv")) + df2 = safe_load(os.path.join( + self.test_files_dir, "modulair/MOD-00014-db-raw.csv")) + df3 = safe_load(os.path.join( + self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file1.csv")) + df4 = safe_load(os.path.join( + self.test_files_dir, "modulair/MOD-00256-db-cleaned-file1.parquet")) + df5 = safe_load(os.path.join( + self.test_files_dir, "modulair-ufp/MOD-UFP-00002-rawsd.csv")) - self.assertEqual(result, expected) + cases = [ + (df1, "modulair-pm"), + (df2, "modulair"), + (df3, "modulair-x"), + (df4, "modulair"), + (df5, "modulair-ufp"), + ] + + for df, expected in cases: + with self.subTest(expected=expected): + self.assertEqual(infer_data_model(df), expected) def test_infer_data_source(self): df1 = safe_load(os.path.join( @@ -47,12 +61,18 @@ def test_infer_data_source(self): self.test_files_dir, "modulair-x/MOD-X-00993-cloudapi-file1.csv")) df4 = safe_load(os.path.join( self.test_files_dir, "modulair/MOD-00256-db-cleaned-file1.parquet")) - + df5 = safe_load(os.path.join( + self.test_files_dir, "modulair-ufp/MOD-UFP-00002-rawsd.csv")) + df6 = safe_load(os.path.join( + self.test_files_dir, "modulair-ufp/MOD-UFP-00002-rawsd-mixed-tdiffs.csv")) + cases = [ (df1, "rawsd"), (df2, "database"), (df3, "cloudapi"), (df4, "database"), + (df5, "rawsd"), + (df6, "rawsd"), ] for df, expected in cases: From 583a903598130e2b30211a6ae3febfae1ea6cdff Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Thu, 2 Jul 2026 16:18:50 -0400 Subject: [PATCH 45/60] Fix: only local timezone if tscol is timestamp or timestamp_iso, and NOT timestamp_local --- quantaq_py/utilities.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/quantaq_py/utilities.py b/quantaq_py/utilities.py index c1bc5a7..6b85a78 100644 --- a/quantaq_py/utilities.py +++ b/quantaq_py/utilities.py @@ -196,8 +196,8 @@ def fix_timestamps(df, set_index=False, sort_values=False, localize_tz=False): if sort_values: df = df.sort_values(by=tscol) - # localize the timezone if needed - if localize_tz: + # localize the timezone if needed (should not do for timestamp_local) + if localize_tz and tscol in ("timestamp", "timestamp_iso"): df[tscol] = df[tscol].apply(lambda x: x.tz_localize("UTC") if not x.tzinfo else x) # Drop rows with NaN/NaT datetime indices From 84d4fc034da438533d03eb062489ce6319d299f2 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Thu, 2 Jul 2026 16:24:48 -0400 Subject: [PATCH 46/60] Fix: raise error if no files found before fixing timestamps and log error msg before exception --- quantaq_py/toolkit/concat.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/quantaq_py/toolkit/concat.py b/quantaq_py/toolkit/concat.py index a3ce545..b5a499d 100644 --- a/quantaq_py/toolkit/concat.py +++ b/quantaq_py/toolkit/concat.py @@ -23,11 +23,12 @@ def concat_files(files): # concat all of the files together df = pd.concat(data, sort=False) - - # sort based on a time column - df = fix_timestamps(df, sort_values=True) if df.empty: - raise Exception("No data") + logger.error("No data found after parsing {} files: {}", len(files), files) + raise ValueError + # sort based on a time column + df = fix_timestamps(df, sort_values=True) + return df From 44a89e52621c0e4be80185ae7617537bcd3154f0 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Thu, 2 Jul 2026 16:46:58 -0400 Subject: [PATCH 47/60] Remove echo_flag_table() from flag_command, rely on logging in _add_flag() instead --- quantaq_py/cli.py | 6 ------ quantaq_py/toolkit/flag.py | 6 +----- tests/test_flag.py | 19 +++++-------------- tests/test_utilities.py | 1 - 4 files changed, 6 insertions(+), 26 deletions(-) diff --git a/quantaq_py/cli.py b/quantaq_py/cli.py index 643fecc..5e4418c 100644 --- a/quantaq_py/cli.py +++ b/quantaq_py/cli.py @@ -166,14 +166,8 @@ def flag_command(file, output, log_level): df = safe_load(file) # flag the dataframe - logger.info("Original flag summary:") - echo_flag_table(df) - df = flag_dataframe(df) - logger.info("New flag summary:") - echo_flag_table(df) - # save the file logger.info("Saving file to {}", output) if output.suffix == ".csv": diff --git a/quantaq_py/toolkit/flag.py b/quantaq_py/toolkit/flag.py index 3e0ceb6..9000ea0 100644 --- a/quantaq_py/toolkit/flag.py +++ b/quantaq_py/toolkit/flag.py @@ -1,14 +1,10 @@ from pathlib import Path -import click -import pandas as pd -import numpy as np from loguru import logger +import pandas as pd import rich from rich.table import Table -from terminaltables import SingleTable -from quantaq_py.exceptions import InvalidFileExtension, InvalidArgument, InvalidDeviceModel from quantaq_py.variables import FLAG_DEFINITIONS, SUPPORTED_MODELS, SUPPORTED_SOURCES from quantaq_py.variables import Range, Gap, flag_name_to_criteria from quantaq_py.utilities import fix_timestamps, determine_timestamp_column diff --git a/tests/test_flag.py b/tests/test_flag.py index 3602b72..2582a21 100644 --- a/tests/test_flag.py +++ b/tests/test_flag.py @@ -1,11 +1,11 @@ +import os +import shutil +import tempfile import unittest -from unittest import result -from click.testing import CliRunner -from os import path from pathlib import Path -import os -import shutil, tempfile + import pandas as pd +from click.testing import CliRunner from quantaq_py.cli import flag_command @@ -35,9 +35,6 @@ def test_flag_files_modulair_db(self): # did it output the correct text? self.assertTrue("File to read" in result.output) - # check that flag summary table printed twice — once before flagging, once after - self.assertEqual(result.output.count("# OCCURENCES"), 2) - # make sure the file exists p = Path(self.test_dir + "/output.csv") self.assertTrue(p.exists()) @@ -88,9 +85,6 @@ def test_flag_files_modulairx_cloudapi(self): # did it output the correct text? self.assertTrue("File to read" in result.output) - # check that flag summary table printed twice — once before flagging, once after - self.assertEqual(result.output.count("# OCCURENCES"), 2) - # make sure the file exists p = Path(self.test_dir + "/output.csv") self.assertTrue(p.exists()) @@ -116,9 +110,6 @@ def test_flag_files_modulair_db_parquet(self): # did it output the correct text? self.assertTrue("File to read" in result.output) - # check that flag summary table printed twice — once before flagging, once after - self.assertEqual(result.output.count("# OCCURENCES"), 2) - # make sure the file exists p = Path(self.test_dir + "/output.parquet") self.assertTrue(p.exists()) diff --git a/tests/test_utilities.py b/tests/test_utilities.py index d938e68..fbfa71a 100644 --- a/tests/test_utilities.py +++ b/tests/test_utilities.py @@ -78,4 +78,3 @@ def test_infer_data_source(self): for df, expected in cases: with self.subTest(expected=expected): self.assertEqual(infer_data_source(df), expected) - From 7cf009c52ca4a363607cf96ee2fb52b66894bdbc Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Thu, 2 Jul 2026 16:59:08 -0400 Subject: [PATCH 48/60] Create a save_file utility function --- quantaq_py/cli.py | 49 +++++++++++++++++------------------------------ 1 file changed, 18 insertions(+), 31 deletions(-) diff --git a/quantaq_py/cli.py b/quantaq_py/cli.py index 5e4418c..9bc8a81 100644 --- a/quantaq_py/cli.py +++ b/quantaq_py/cli.py @@ -25,6 +25,18 @@ def main(ctx): pass +def save_file(df, output): + """Helper func to save a DataFrame to disk as CSV or parquet. + + Args: + df (pd.DataFrame): DataFrame to save + output (Path): Destination filepath. + """ + logger.info("Saving file to {}", output) + if output.suffix == ".csv": + df.to_csv(output, index=False) + else: + df.to_parquet(output, index=False) @click.command("concat") @click.argument("files", nargs=-1, type=click.Path()) @@ -47,12 +59,7 @@ def concat_command(files, output, log_level): df = concat_files(files) # save the file - logger.info("Saving file to {}", output) - - if output.suffix == ".csv": - df.to_csv(output, index=False) - else: - df.to_parquet(output, index=False) + save_file(df, output) @click.command("merge", short_help="merge two files together on their timestamp") @@ -77,11 +84,7 @@ def merge_command(files, output, tscol, log_level): df = merge_files(files, tscol) # save the file - logger.info("Saving file to {}", output) - if output.suffix == ".csv": - df.to_csv(output, index=False) - else: - df.to_parquet(output, index=False) + save_file(df, output) @click.command("resample", short_help="up/down sample data") @@ -138,11 +141,7 @@ def resample_command(file, rule, output, log_level, **kwargs): ) # save the file - logger.info("Saving file to {}", output) - if output.suffix == ".csv": - df.to_csv(output, index=False) - else: - df.to_parquet(output, index=False) + save_file(df, output) @click.command("flag") @@ -169,11 +168,7 @@ def flag_command(file, output, log_level): df = flag_dataframe(df) # save the file - logger.info("Saving file to {}", output) - if output.suffix == ".csv": - df.to_csv(output, index=False) - else: - df.to_parquet(output, index=False) + save_file(df, output) @click.command("expunge") @@ -207,11 +202,7 @@ def expunge_command(file, output, log_level, dry_run): echo_flag_table(df_expunged) if not dry_run: - logger.info("Saving file to {}", output) - if output.suffix == ".csv": - df_expunged.to_csv(output, index=False) - else: - df_expunged.to_parquet(output, index=False) + save_file(df, output) @click.command("clean") @@ -232,11 +223,7 @@ def clean_command(file, output, log_level): df = safe_load(file) df = clean_dataframe(df) # save the file - logger.info("Saving file to {}", output) - if output.suffix == ".csv": - df.to_csv(output, index=False) - else: - df.to_parquet(output, index=False) + save_file(df, output) # add the commands one-by-one main.add_command(concat_command) From e739f6d2e761cbbdd5cd249cf77a47719db24bb7 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Thu, 2 Jul 2026 17:33:58 -0400 Subject: [PATCH 49/60] Passed desired suffixes for overlapping columns, and add option to keep only the overlapping columns from both, left, or right --- quantaq_py/toolkit/merge.py | 38 +++++++++++++++++++++++++++++-------- 1 file changed, 30 insertions(+), 8 deletions(-) diff --git a/quantaq_py/toolkit/merge.py b/quantaq_py/toolkit/merge.py index 9a3d8eb..a57cb33 100644 --- a/quantaq_py/toolkit/merge.py +++ b/quantaq_py/toolkit/merge.py @@ -4,17 +4,31 @@ from quantaq_py.utilities import safe_load, fix_timestamps -def merge_files(files, tscol="timestamp"): +def merge_files(files, tscol="timestamp", suffixes=('_left', '_right'), keep="both"): """Merge multiple files on a timestamp column. Args: files (list): List of file paths to merge. - tscol (str, optional): Name of the timestamp column. Default is "timestamp". + tscol (str, optional): Name of the timestamp column. Default is "timestamp". + suffixes (tuple, optional): A length-2 sequence where each element is + a string indicating the suffix to add to overlapping column names + in the left and right DataFrames, respectively. Default is + ("_left", "_right"). + keep (str, optional): Which side to keep for columns that overlap + between files: "both" keeps both suffixed columns, "left" keeps + only the left/earlier file's version, "right" keeps only the + right/later file's version. Default is "both". + + Note! + If keep != "both" and you don't want to rename the columns to keep, the + suffix for columns to keep can be an empty string (i.e., suffixes=('', '_drop')). Returns: pd.DataFrame: the merged DataFrame """ - + if keep not in ("both", "left", "right"): + raise ValueError(f"keep must be one of 'both', 'left', 'right'; got {keep!r}") + # create an array of timestamp column names to try tscols = [tscol, "timestamp", "timestamp_local"] @@ -32,7 +46,7 @@ def merge_files(files, tscol="timestamp"): if c in tmp.columns: tscol = c break - + if not tscol in tmp.columns: logger.debug("Time {} was not found in the file; skipping file.", tscol) continue @@ -41,8 +55,16 @@ def merge_files(files, tscol="timestamp"): tmp = fix_timestamps(tmp, set_index=True, sort_values=True, localize_tz=True) # merge with the other files - df = pd.merge(df, tmp, left_index=True, right_index=True, how='outer') - - df = df.reset_index() # bring timestamp back as a column named `tscol` + merged_df = pd.merge(df, tmp, left_index=True, right_index=True, how='outer', suffixes=suffixes) + + # resolve overlapping columns down to one side, if desired + if keep != "both": + left_suffix, right_suffix = suffixes + drop_suffix, _ = ( + (right_suffix, left_suffix) if keep == "left" else (left_suffix, right_suffix) + ) + merged_df = merged_df.loc[:, ~merged_df.columns.str.endswith(drop_suffix)] + + merged_df = merged_df.reset_index() # bring timestamp back as a column named `tscol` - return df + return merged_df From a49159a99f635d9b3cb4e1a0c25000dcdcff0861 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Thu, 2 Jul 2026 17:41:15 -0400 Subject: [PATCH 50/60] Fix: merge_df bug and add error for attempting to merge >2 files --- quantaq_py/toolkit/merge.py | 17 ++++++++++------- 1 file changed, 10 insertions(+), 7 deletions(-) diff --git a/quantaq_py/toolkit/merge.py b/quantaq_py/toolkit/merge.py index a57cb33..c80df92 100644 --- a/quantaq_py/toolkit/merge.py +++ b/quantaq_py/toolkit/merge.py @@ -5,7 +5,7 @@ def merge_files(files, tscol="timestamp", suffixes=('_left', '_right'), keep="both"): - """Merge multiple files on a timestamp column. + """Merge two files on a timestamp column. Args: files (list): List of file paths to merge. @@ -26,6 +26,10 @@ def merge_files(files, tscol="timestamp", suffixes=('_left', '_right'), keep="bo Returns: pd.DataFrame: the merged DataFrame """ + if len(files)>2: + logger.error("Attempting to merge >2 files at a time.") + raise ValueError + if keep not in ("both", "left", "right"): raise ValueError(f"keep must be one of 'both', 'left', 'right'; got {keep!r}") @@ -35,8 +39,7 @@ def merge_files(files, tscol="timestamp", suffixes=('_left', '_right'), keep="bo df = pd.DataFrame() logger.info("Parsing {} files", len(files)) - # Find the best timestamp column from the first file, and use it for merging - # if found in subsequent files. + # Find the best timestamp column from the first file, and use it for merging with the second file. for f in files: logger.debug("Parsing {}", f) tmp = safe_load(f) @@ -55,7 +58,7 @@ def merge_files(files, tscol="timestamp", suffixes=('_left', '_right'), keep="bo tmp = fix_timestamps(tmp, set_index=True, sort_values=True, localize_tz=True) # merge with the other files - merged_df = pd.merge(df, tmp, left_index=True, right_index=True, how='outer', suffixes=suffixes) + df = pd.merge(df, tmp, left_index=True, right_index=True, how='outer', suffixes=suffixes) # resolve overlapping columns down to one side, if desired if keep != "both": @@ -63,8 +66,8 @@ def merge_files(files, tscol="timestamp", suffixes=('_left', '_right'), keep="bo drop_suffix, _ = ( (right_suffix, left_suffix) if keep == "left" else (left_suffix, right_suffix) ) - merged_df = merged_df.loc[:, ~merged_df.columns.str.endswith(drop_suffix)] + df = df.loc[:, ~df.columns.str.endswith(drop_suffix)] - merged_df = merged_df.reset_index() # bring timestamp back as a column named `tscol` + df = df.reset_index() # bring timestamp back as a column named `tscol` - return merged_df + return df From 1e1d34725975cee1693cc2b9120605c0a1918f52 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Mon, 6 Jul 2026 10:06:56 -0400 Subject: [PATCH 51/60] Ensure all errors are logged and that errors are referenced when raised --- quantaq_py/cli.py | 52 +++++++++++++++++++++--------------- quantaq_py/toolkit/concat.py | 6 ++--- quantaq_py/toolkit/merge.py | 9 ++++--- quantaq_py/utilities.py | 23 ++++++++++------ quantaq_py/variables.py | 17 +++++++----- 5 files changed, 64 insertions(+), 43 deletions(-) diff --git a/quantaq_py/cli.py b/quantaq_py/cli.py index 9bc8a81..40d5095 100644 --- a/quantaq_py/cli.py +++ b/quantaq_py/cli.py @@ -30,14 +30,30 @@ def save_file(df, output): Args: df (pd.DataFrame): DataFrame to save - output (Path): Destination filepath. + output (str): Destination filepath. """ logger.info("Saving file to {}", output) + output = Path(output) if output.suffix == ".csv": df.to_csv(output, index=False) else: df.to_parquet(output, index=False) +def check_extension(output): + """Helper func to check if the output extension is either a csv or parquet + format. + + Args: + output (str): Destination filepath. + """ + output = Path(output) + if output.suffix not in (".csv", ".parquet"): + error = InvalidFileExtension(f"Invalid file extension; got {output.suffix!r}") + logger.error(error) + raise error + return output + + @click.command("concat") @click.argument("files", nargs=-1, type=click.Path()) @click.option("-o", "--output", default="output.csv", help="The filepath where you would like to save the file", type=str) @@ -48,11 +64,9 @@ def concat_command(files, output, log_level): """Concat FILES and save to OUTPUT.""" configure_logging(log_level) - # make sure the extension is valid - output = Path(output) - if output.suffix not in (".csv", ".parquet"): - raise InvalidFileExtension("Invalid file extension") - + # make sure the extension is either a csv or parquet format + check_extension(output) + # concat everything in filepath logger.info("Files to read: {}", files) @@ -74,9 +88,7 @@ def merge_command(files, output, tscol, log_level): configure_logging(log_level) # make sure the extension is either a csv or parquet format - output = Path(output) - if output.suffix not in (".csv", ".parquet"): - raise InvalidFileExtension("Invalid file extension") + check_extension(output) # merge everything in filepath logger.info("Files to read: {}", files) @@ -116,9 +128,7 @@ def resample_command(file, rule, output, log_level, **kwargs): nonnumeric_how = kwargs.pop("nonnumeric_how", "first") # make sure the extension is either a csv or parquet format - output = Path(output) - if output.suffix not in (".csv", ".parquet"): - raise InvalidFileExtension("Invalid file extension") + check_extension(output) logger.info("File to read: {}", file) @@ -127,7 +137,9 @@ def resample_command(file, rule, output, log_level, **kwargs): # if column to resample over needs to be made a datetime obj, do so if on not in df.columns: - raise Exception("Invalid column name for the timestamp") + error = ValueError(f"Invalid column name for the timestamp; got {on!r}") + logger.error(error) + raise error # resample df = resample_dataframe( @@ -155,9 +167,7 @@ def flag_command(file, output, log_level): configure_logging(log_level) # make sure the extension is either a csv or parquet format - output = Path(output) - if output.suffix not in (".csv", ".parquet"): - raise InvalidFileExtension("Invalid file extension") + check_extension(output) logger.info("File to read: {}", file) @@ -182,9 +192,8 @@ def expunge_command(file, output, log_level, dry_run): """Expunge FILE and save to OUTPUT.""" configure_logging(log_level) - output = Path(output) - if output.suffix not in (".csv", ".parquet"): - raise InvalidFileExtension("Invalid file extension") + # make sure the extension is either a csv or parquet format + check_extension(output) logger.info("Expunging data for {}", file) @@ -215,9 +224,8 @@ def clean_command(file, output, log_level): """Clean FILE and save to OUTPUT.""" configure_logging(log_level) - output = Path(output) - if output.suffix not in (".csv", ".parquet"): - raise InvalidFileExtension("Invalid file extension") + # make sure the extension is either a csv or parquet format + check_extension(output) logger.info("Cleaning data for {}", file) df = safe_load(file) diff --git a/quantaq_py/toolkit/concat.py b/quantaq_py/toolkit/concat.py index b5a499d..e6a5671 100644 --- a/quantaq_py/toolkit/concat.py +++ b/quantaq_py/toolkit/concat.py @@ -16,7 +16,6 @@ def concat_files(files): data = [] logger.info("Parsing {} files", len(files)) for f in files: - logger.debug("Parsing {}", f) tmp = safe_load(f) data.append(tmp) @@ -25,8 +24,9 @@ def concat_files(files): df = pd.concat(data, sort=False) if df.empty: - logger.error("No data found after parsing {} files: {}", len(files), files) - raise ValueError + error = ValueError(f"No data found after parsing {len(files)} files: {files}") + logger.error(error) + raise error # sort based on a time column df = fix_timestamps(df, sort_values=True) diff --git a/quantaq_py/toolkit/merge.py b/quantaq_py/toolkit/merge.py index c80df92..ac6e62b 100644 --- a/quantaq_py/toolkit/merge.py +++ b/quantaq_py/toolkit/merge.py @@ -27,11 +27,14 @@ def merge_files(files, tscol="timestamp", suffixes=('_left', '_right'), keep="bo pd.DataFrame: the merged DataFrame """ if len(files)>2: - logger.error("Attempting to merge >2 files at a time.") - raise ValueError + error = ValueError("Attempting to merge >2 files at a time.") + logger.error(error) + raise error if keep not in ("both", "left", "right"): - raise ValueError(f"keep must be one of 'both', 'left', 'right'; got {keep!r}") + error = ValueError(f"keep must be one of 'both', 'left', 'right'; got {keep!r}") + logger.error(error) + raise error # create an array of timestamp column names to try tscols = [tscol, "timestamp", "timestamp_local"] diff --git a/quantaq_py/utilities.py b/quantaq_py/utilities.py index 6b85a78..b654305 100644 --- a/quantaq_py/utilities.py +++ b/quantaq_py/utilities.py @@ -53,8 +53,9 @@ def infer_data_source(df, tscol=None): logger.info(f"Reading mostly {dominant_tdiff}s data --> inferring rawSD for modulair-ufp") return "rawsd" else: - logger.error(f"Unrecognized dominant sampling intervals: {dominant_tdiff}") - raise NotImplementedError + error = NotImplementedError(f"Unrecognized dominant sampling intervals: {dominant_tdiff}") + logger.error(error) + raise error def infer_data_model(df): """Infers the device model from the serial number in a dataframe. @@ -66,12 +67,14 @@ def infer_data_model(df): str: the device model / data model """ if "sn" not in df.columns: - logger.error("No serial number column found in dataframe, set `add_sn_column=True` when calling `safe_load`.") - raise ValueError + error = ValueError("No serial number column found in dataframe, set `add_sn_column=True` when calling `safe_load`.") + logger.error(error) + raise error sn_array = df['sn'].unique() if len(sn_array) > 1: - logger.error(f"Found {len(sn_array)} unique serial numbers: {sn_array}") - raise ValueError + error = ValueError(f"Found {len(sn_array)} unique serial numbers: {sn_array}") + logger.error(error) + raise error device_sn = sn_array.item() device_model = sn_to_model(device_sn) return device_model @@ -113,7 +116,9 @@ def safe_load(fpath, coerce_dtypes=True): elif p.suffix == ".parquet": as_csv = False else: - raise InvalidFileExtension + error = InvalidFileExtension(f"Invalid file extension; got {p.suffix!r}") + logger.error(error) + raise error tmp = pd.read_csv(fpath, nrows=1, header=None) if as_csv else pd.read_parquet(fpath) @@ -169,7 +174,9 @@ def determine_timestamp_column(df): if col in df.columns: return col - raise ValueError(f"Couldn't find a timestamp column: {df.columns}") + error = ValueError(f"Couldn't find a timestamp column: {df.columns}") + logger.error(error) + raise error def fix_timestamps(df, set_index=False, sort_values=False, localize_tz=False): """Fix the timestamps (convert to datetime index, sort by diff --git a/quantaq_py/variables.py b/quantaq_py/variables.py index de8035c..795489f 100644 --- a/quantaq_py/variables.py +++ b/quantaq_py/variables.py @@ -141,16 +141,19 @@ def flag_name_to_criteria(source, model): """ if source not in SUPPORTED_SOURCES: - logger.error("Unsupported source: {!r}", source) - raise ValueError + error = ValueError(f"Unsupported source: {source!r}") + logger.error(error) + raise error if model not in SUPPORTED_MODELS: - logger.error("Unsupported model: {!r}", model) - raise ValueError + error = ValueError(f"Unsupported model: {model!r}") + logger.error(error) + raise error if source == 'rawsd': - logger.debug("{!r} flag criteria are not yet defined", source) - raise NotImplementedError - + error = NotImplementedError(f"{source!r} flag criteria are not yet defined.") + logger.error(error) + raise error + by_model = FLAG_CRITERIA[source] return by_model[model] From c3a20601e7590e06ddcb0cfe68050813c7f51e04 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Mon, 6 Jul 2026 10:18:35 -0400 Subject: [PATCH 52/60] More informative docstring for clean_dataframe() --- quantaq_py/toolkit/munge.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/quantaq_py/toolkit/munge.py b/quantaq_py/toolkit/munge.py index cb6bb19..18b9b22 100644 --- a/quantaq_py/toolkit/munge.py +++ b/quantaq_py/toolkit/munge.py @@ -8,14 +8,15 @@ def clean_dataframe(df): - """Load a dataframe, clean it, and save to csv. - + """Load a dataframe, set timestamp to sorted, timezone-aware datetime index, + drop rows where all columns are NaN. + Args: df (pd.DataFrame): DataFrame to clean. """ # Fix the timestamp columns -- only if needed - df = fix_timestamps(df) + df = fix_timestamps(df, set_index=True, sort_values=True, localize_tz=True) # Force everything to be numeric #df = df.apply(pd.to_numeric, errors='coerce') # is this necessary? From 405bc1ddb3be9d8c5d06d84ebf4c091d0422c968 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Mon, 6 Jul 2026 10:24:46 -0400 Subject: [PATCH 53/60] Move drop_unnamed() to a helper func used in safe_load and clean_dataframe --- quantaq_py/toolkit/munge.py | 5 ++++- quantaq_py/utilities.py | 16 +++++++++++++--- 2 files changed, 17 insertions(+), 4 deletions(-) diff --git a/quantaq_py/toolkit/munge.py b/quantaq_py/toolkit/munge.py index 18b9b22..9fed1d4 100644 --- a/quantaq_py/toolkit/munge.py +++ b/quantaq_py/toolkit/munge.py @@ -4,7 +4,7 @@ from loguru import logger from quantaq_py.exceptions import InvalidFileExtension -from quantaq_py.utilities import fix_timestamps +from quantaq_py.utilities import fix_timestamps, drop_unnamed def clean_dataframe(df): @@ -28,4 +28,7 @@ def clean_dataframe(df): logger.warning("Dropping {} rows with all NaN values", all_nan_mask.sum()) df = df.dropna(how='all') # drop rows if ALL columns are nan + # Remove unnamed columns + df = drop_unnamed(df) + return df diff --git a/quantaq_py/utilities.py b/quantaq_py/utilities.py index b654305..f8869b3 100644 --- a/quantaq_py/utilities.py +++ b/quantaq_py/utilities.py @@ -7,6 +7,18 @@ from quantaq_py.exceptions import InvalidFileExtension from quantaq_py.schema import build_dtype_schema, COLUMN_DEFINITIONS +def drop_unnamed(df): + """Drop unnamed columns. + + Args: + df (pd.DataFrame): DataFrame to prune columns of. + """ + + unnamed = [c for c in df.columns if str(c).startswith("Unnamed:")] + if unnamed: + df.drop(columns=unnamed, inplace=True) + return df + def infer_data_source(df, tscol=None): """Determine the data source (rawSD, cloudAPI, or database) from the sampling frequency in the dataframe. @@ -139,9 +151,7 @@ def safe_load(fpath, coerce_dtypes=True): tmp = pd.read_csv(fpath) # drop the extra column if it was added - unnamed = [c for c in tmp.columns if str(c).startswith("Unnamed:")] - if unnamed: - tmp.drop(columns=unnamed, inplace=True) + tmp = drop_unnamed(tmp) # Check dtypes schema_field_dtypes = build_dtype_schema(COLUMN_DEFINITIONS) From 69b39e2b4c5fe15e947cfee31bc938c4e034dd26 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Mon, 6 Jul 2026 10:25:30 -0400 Subject: [PATCH 54/60] Update docstring --- quantaq_py/toolkit/munge.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/quantaq_py/toolkit/munge.py b/quantaq_py/toolkit/munge.py index 9fed1d4..718b7d7 100644 --- a/quantaq_py/toolkit/munge.py +++ b/quantaq_py/toolkit/munge.py @@ -9,7 +9,7 @@ def clean_dataframe(df): """Load a dataframe, set timestamp to sorted, timezone-aware datetime index, - drop rows where all columns are NaN. + drop rows where all columns are NaN, remove unnamed columns. Args: df (pd.DataFrame): DataFrame to clean. From 1311341a60bc7a4013bae3d64383ee854ee60475 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Mon, 6 Jul 2026 11:00:50 -0400 Subject: [PATCH 55/60] Specify that u/v columns don't need be present in dataframe, but the col names still need to be specified --- quantaq_py/cli.py | 2 +- quantaq_py/toolkit/resample.py | 6 ++++-- 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/quantaq_py/cli.py b/quantaq_py/cli.py index 40d5095..41cde2e 100644 --- a/quantaq_py/cli.py +++ b/quantaq_py/cli.py @@ -110,7 +110,7 @@ def merge_command(files, output, tscol, log_level): nargs=4, type=str, default=("wx_u", "wx_v", "wx_ws", "wx_wd"), - help="(u, v, speed, direction) column names", + help="(u, v, speed, direction) column names. The u/v columns don't need to be present in the dataframe, but the column names need to be specified.", ) @click.option("--numeric_how", default="mean", help="Aggregation for numeric columns.") @click.option("--nonnumeric_how", default="first", help="Aggregation for non-numeric columns.") diff --git a/quantaq_py/toolkit/resample.py b/quantaq_py/toolkit/resample.py index a65e135..c592aec 100644 --- a/quantaq_py/toolkit/resample.py +++ b/quantaq_py/toolkit/resample.py @@ -77,8 +77,10 @@ def resample_dataframe( on: Name of the datetime column to resample over. by: Optional column(s) to group by first (e.g. ``"sn"``), so each device/location is resampled independently. - wind: ``(u, v, speed, direction)`` column names. When the u/v columns - are present, the speed/direction columns are NOT scalar-averaged; + wind: ``(u, v, speed, direction)`` column names. The u/v columns don't + need to be present in the dataframe, but the column names still need to be + specified here. When the u/v columns are present in the dataframe, + the speed/direction columns are NOT scalar-averaged; they are derived from the averaged u/v components instead (see ``_vector_wind``). If only speed/direction are present, the u/v components are first created from them (see ``_components_from_polar``). From 537bb1ee2f1347147ce73ea2d3d42f7a4b02ec56 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Mon, 6 Jul 2026 11:14:37 -0400 Subject: [PATCH 56/60] Add intercept handler to route standard logging calls through loguru --- quantaq_py/log.py | 20 ++++++++++++++++++-- 1 file changed, 18 insertions(+), 2 deletions(-) diff --git a/quantaq_py/log.py b/quantaq_py/log.py index e8237c1..7aaa4d1 100644 --- a/quantaq_py/log.py +++ b/quantaq_py/log.py @@ -1,20 +1,36 @@ +import logging import sys + from loguru import logger # loguru levels, ordered low -> high LOG_LEVELS = ["TRACE", "DEBUG", "INFO", "SUCCESS", "WARNING", "ERROR", "CRITICAL"] +class _InterceptHandler(logging.Handler): + """Route standard logging calls through loguru.""" + def emit(self, record): + try: + level = logger.level(record.levelname).name + except ValueError: + level = record.levelno + frame, depth = logging.currentframe(), 2 + while frame.f_code.co_filename == logging.__file__: + frame = frame.f_back + depth += 1 + logger.opt(depth=depth, exception=record.exc_info).log(level, record.getMessage()) + def configure_logging(level: str = "INFO") -> None: """Reset loguru to log to stderr at the given level. # example usage: - from quantaq.concat import concat_files - from quantaq.log import configure_logging + from quantaq_py.concat import concat_files + from quantaq_py.log import configure_logging configure_logging("DEBUG") df = concat_files(my_files) """ logger.remove() logger.add(sys.stderr, level=level.upper()) + logging.basicConfig(handlers=[_InterceptHandler()], level=0, force=True) \ No newline at end of file From e981a498813962a1e21c5fa5e9b584f4b200114b Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Mon, 6 Jul 2026 11:21:51 -0400 Subject: [PATCH 57/60] Rename quantaq_py to quantaq_tools --- pyproject.toml | 4 ++-- quantaq_py/__init__.py | 18 ------------------ quantaq_tools/__init__.py | 18 ++++++++++++++++++ {quantaq_py => quantaq_tools}/cli.py | 16 ++++++++-------- {quantaq_py => quantaq_tools}/exceptions.py | 0 {quantaq_py => quantaq_tools}/log.py | 0 {quantaq_py => quantaq_tools}/schema.py | 0 .../toolkit/concat.py | 2 +- .../toolkit/expunge.py | 4 ++-- {quantaq_py => quantaq_tools}/toolkit/flag.py | 8 ++++---- {quantaq_py => quantaq_tools}/toolkit/merge.py | 2 +- {quantaq_py => quantaq_tools}/toolkit/munge.py | 4 ++-- .../toolkit/resample.py | 4 ++-- {quantaq_py => quantaq_tools}/utilities.py | 4 ++-- {quantaq_py => quantaq_tools}/variables.py | 0 tests/test_clean.py | 2 +- tests/test_concat.py | 4 ++-- tests/test_expunge.py | 4 ++-- tests/test_flag.py | 2 +- tests/test_merge.py | 4 ++-- tests/test_resample.py | 6 +++--- tests/test_utilities.py | 4 ++-- 22 files changed, 55 insertions(+), 55 deletions(-) delete mode 100644 quantaq_py/__init__.py create mode 100644 quantaq_tools/__init__.py rename {quantaq_py => quantaq_tools}/cli.py (93%) rename {quantaq_py => quantaq_tools}/exceptions.py (100%) rename {quantaq_py => quantaq_tools}/log.py (100%) rename {quantaq_py => quantaq_tools}/schema.py (100%) rename {quantaq_py => quantaq_tools}/toolkit/concat.py (93%) rename {quantaq_py => quantaq_tools}/toolkit/expunge.py (90%) rename {quantaq_py => quantaq_tools}/toolkit/flag.py (93%) rename {quantaq_py => quantaq_tools}/toolkit/merge.py (97%) rename {quantaq_py => quantaq_tools}/toolkit/munge.py (88%) rename {quantaq_py => quantaq_tools}/toolkit/resample.py (98%) rename {quantaq_py => quantaq_tools}/utilities.py (98%) rename {quantaq_py => quantaq_tools}/variables.py (100%) diff --git a/pyproject.toml b/pyproject.toml index 521c385..4fa58f7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,5 +1,5 @@ [tool.poetry] -name = "quantaq-py" +name = "quantaq-tools" version = "1.0.0rc0" description = "The QuantAQ Python Toolkit and CLI" authors = ["David H Hagan "] @@ -34,7 +34,7 @@ sphinx-rtd-theme = "^2.0" setuptools = "^65.6.3" [tool.poetry.scripts] -quantaq-py = "quantaq_py.cli:main" +quantaq-py = "quantaq_tools.cli:main" [build-system] requires = ["poetry-core>=1.0.0"] diff --git a/quantaq_py/__init__.py b/quantaq_py/__init__.py deleted file mode 100644 index f7c36e1..0000000 --- a/quantaq_py/__init__.py +++ /dev/null @@ -1,18 +0,0 @@ -from quantaq_py.toolkit.concat import concat_files -from quantaq_py.toolkit.merge import merge_files -from quantaq_py.toolkit.resample import resample_dataframe -from quantaq_py.toolkit.flag import flag_dataframe, echo_flag_table, flag_summary -from quantaq_py.toolkit.expunge import expunge_dataframe -from quantaq_py.toolkit.munge import clean_dataframe - - -__all__ = [ - "concat_files", - "merge_files", - "resample_dataframe", - "flag_dataframe", - "echo_flag_table", - "expunge_dataframe", - "flag_summary", - "clean_dataframe" -] diff --git a/quantaq_tools/__init__.py b/quantaq_tools/__init__.py new file mode 100644 index 0000000..3f13a7c --- /dev/null +++ b/quantaq_tools/__init__.py @@ -0,0 +1,18 @@ +from quantaq_tools.toolkit.concat import concat_files +from quantaq_tools.toolkit.merge import merge_files +from quantaq_tools.toolkit.resample import resample_dataframe +from quantaq_tools.toolkit.flag import flag_dataframe, echo_flag_table, flag_summary +from quantaq_tools.toolkit.expunge import expunge_dataframe +from quantaq_tools.toolkit.munge import clean_dataframe + + +__all__ = [ + "concat_files", + "merge_files", + "resample_dataframe", + "flag_dataframe", + "echo_flag_table", + "expunge_dataframe", + "flag_summary", + "clean_dataframe" +] diff --git a/quantaq_py/cli.py b/quantaq_tools/cli.py similarity index 93% rename from quantaq_py/cli.py rename to quantaq_tools/cli.py index 41cde2e..c9d0fea 100644 --- a/quantaq_py/cli.py +++ b/quantaq_tools/cli.py @@ -4,18 +4,18 @@ import rich_click as click from loguru import logger -from quantaq_py import concat_files, merge_files, resample_dataframe, clean_dataframe -from quantaq_py import flag_dataframe, echo_flag_table, expunge_dataframe -from quantaq_py.exceptions import InvalidFileExtension -from quantaq_py.log import configure_logging, LOG_LEVELS -from quantaq_py.toolkit.resample import WIND_COLUMNS -from quantaq_py.utilities import safe_load -from quantaq_py.variables import SUPPORTED_MODELS, SUPPORTED_SOURCES +from quantaq_tools import concat_files, merge_files, resample_dataframe, clean_dataframe +from quantaq_tools import flag_dataframe, echo_flag_table, expunge_dataframe +from quantaq_tools.exceptions import InvalidFileExtension +from quantaq_tools.log import configure_logging, LOG_LEVELS +from quantaq_tools.toolkit.resample import WIND_COLUMNS +from quantaq_tools.utilities import safe_load +from quantaq_tools.variables import SUPPORTED_MODELS, SUPPORTED_SOURCES CONTEXT_SETTINGS = dict(help_option_names=['-h', '--help']) -__version__ = pkg_resources.get_distribution('quantaq_py').version +__version__ = pkg_resources.get_distribution('quantaq_tools').version @click.group(context_settings=CONTEXT_SETTINGS) diff --git a/quantaq_py/exceptions.py b/quantaq_tools/exceptions.py similarity index 100% rename from quantaq_py/exceptions.py rename to quantaq_tools/exceptions.py diff --git a/quantaq_py/log.py b/quantaq_tools/log.py similarity index 100% rename from quantaq_py/log.py rename to quantaq_tools/log.py diff --git a/quantaq_py/schema.py b/quantaq_tools/schema.py similarity index 100% rename from quantaq_py/schema.py rename to quantaq_tools/schema.py diff --git a/quantaq_py/toolkit/concat.py b/quantaq_tools/toolkit/concat.py similarity index 93% rename from quantaq_py/toolkit/concat.py rename to quantaq_tools/toolkit/concat.py index e6a5671..f9e9f72 100644 --- a/quantaq_py/toolkit/concat.py +++ b/quantaq_tools/toolkit/concat.py @@ -1,7 +1,7 @@ from loguru import logger import pandas as pd -from quantaq_py.utilities import safe_load, fix_timestamps +from quantaq_tools.utilities import safe_load, fix_timestamps def concat_files(files): """Concatenate multiple files into a single DataFrame and sort based on a diff --git a/quantaq_py/toolkit/expunge.py b/quantaq_tools/toolkit/expunge.py similarity index 90% rename from quantaq_py/toolkit/expunge.py rename to quantaq_tools/toolkit/expunge.py index 1ada74f..6beb7a8 100644 --- a/quantaq_py/toolkit/expunge.py +++ b/quantaq_tools/toolkit/expunge.py @@ -1,8 +1,8 @@ import numpy as np from loguru import logger -from quantaq_py.utilities import determine_timestamp_column -from quantaq_py.variables import FLAG_DEFINITIONS +from quantaq_tools.utilities import determine_timestamp_column +from quantaq_tools.variables import FLAG_DEFINITIONS def expunge_dataframe(df): diff --git a/quantaq_py/toolkit/flag.py b/quantaq_tools/toolkit/flag.py similarity index 93% rename from quantaq_py/toolkit/flag.py rename to quantaq_tools/toolkit/flag.py index 9000ea0..e952da3 100644 --- a/quantaq_py/toolkit/flag.py +++ b/quantaq_tools/toolkit/flag.py @@ -5,10 +5,10 @@ import rich from rich.table import Table -from quantaq_py.variables import FLAG_DEFINITIONS, SUPPORTED_MODELS, SUPPORTED_SOURCES -from quantaq_py.variables import Range, Gap, flag_name_to_criteria -from quantaq_py.utilities import fix_timestamps, determine_timestamp_column -from quantaq_py.utilities import infer_data_source, infer_data_model +from quantaq_tools.variables import FLAG_DEFINITIONS, SUPPORTED_MODELS, SUPPORTED_SOURCES +from quantaq_tools.variables import Range, Gap, flag_name_to_criteria +from quantaq_tools.utilities import fix_timestamps, determine_timestamp_column +from quantaq_tools.utilities import infer_data_source, infer_data_model def _add_flag(df, flag_name, flag_value, criterion): diff --git a/quantaq_py/toolkit/merge.py b/quantaq_tools/toolkit/merge.py similarity index 97% rename from quantaq_py/toolkit/merge.py rename to quantaq_tools/toolkit/merge.py index ac6e62b..badea91 100644 --- a/quantaq_py/toolkit/merge.py +++ b/quantaq_tools/toolkit/merge.py @@ -1,7 +1,7 @@ from loguru import logger import pandas as pd -from quantaq_py.utilities import safe_load, fix_timestamps +from quantaq_tools.utilities import safe_load, fix_timestamps def merge_files(files, tscol="timestamp", suffixes=('_left', '_right'), keep="both"): diff --git a/quantaq_py/toolkit/munge.py b/quantaq_tools/toolkit/munge.py similarity index 88% rename from quantaq_py/toolkit/munge.py rename to quantaq_tools/toolkit/munge.py index 718b7d7..187c393 100644 --- a/quantaq_py/toolkit/munge.py +++ b/quantaq_tools/toolkit/munge.py @@ -3,8 +3,8 @@ import pandas as pd from loguru import logger -from quantaq_py.exceptions import InvalidFileExtension -from quantaq_py.utilities import fix_timestamps, drop_unnamed +from quantaq_tools.exceptions import InvalidFileExtension +from quantaq_tools.utilities import fix_timestamps, drop_unnamed def clean_dataframe(df): diff --git a/quantaq_py/toolkit/resample.py b/quantaq_tools/toolkit/resample.py similarity index 98% rename from quantaq_py/toolkit/resample.py rename to quantaq_tools/toolkit/resample.py index c592aec..cfa3299 100644 --- a/quantaq_py/toolkit/resample.py +++ b/quantaq_tools/toolkit/resample.py @@ -7,8 +7,8 @@ import pandas as pd from pandas.api.types import is_numeric_dtype, is_datetime64_any_dtype -from quantaq_py.exceptions import InvalidFileExtension -from quantaq_py.utilities import safe_load +from quantaq_tools.exceptions import InvalidFileExtension +from quantaq_tools.utilities import safe_load # Default (u, v, speed, direction) column names for vector wind averaging. diff --git a/quantaq_py/utilities.py b/quantaq_tools/utilities.py similarity index 98% rename from quantaq_py/utilities.py rename to quantaq_tools/utilities.py index f8869b3..33c565a 100644 --- a/quantaq_py/utilities.py +++ b/quantaq_tools/utilities.py @@ -4,8 +4,8 @@ import pandas as pd import pandera.pandas as pa -from quantaq_py.exceptions import InvalidFileExtension -from quantaq_py.schema import build_dtype_schema, COLUMN_DEFINITIONS +from quantaq_tools.exceptions import InvalidFileExtension +from quantaq_tools.schema import build_dtype_schema, COLUMN_DEFINITIONS def drop_unnamed(df): """Drop unnamed columns. diff --git a/quantaq_py/variables.py b/quantaq_tools/variables.py similarity index 100% rename from quantaq_py/variables.py rename to quantaq_tools/variables.py diff --git a/tests/test_clean.py b/tests/test_clean.py index 9d23dfe..e0b84c8 100644 --- a/tests/test_clean.py +++ b/tests/test_clean.py @@ -6,7 +6,7 @@ import shutil, tempfile import pandas as pd -from quantaq_py.cli import clean_command +from quantaq_tools.cli import clean_command class SetupTestCase(unittest.TestCase): diff --git a/tests/test_concat.py b/tests/test_concat.py index 5ea959b..a408a1b 100644 --- a/tests/test_concat.py +++ b/tests/test_concat.py @@ -6,8 +6,8 @@ import shutil, tempfile import pandas as pd -from quantaq_py.cli import concat_command -from quantaq_py.utilities import safe_load +from quantaq_tools.cli import concat_command +from quantaq_tools.utilities import safe_load class SetupTestCase(unittest.TestCase): def setUp(self): diff --git a/tests/test_expunge.py b/tests/test_expunge.py index 7e6d1ff..21f6537 100644 --- a/tests/test_expunge.py +++ b/tests/test_expunge.py @@ -10,8 +10,8 @@ import pandas as pd from pandas.testing import assert_frame_equal -from quantaq_py import expunge_dataframe, flag_summary -from quantaq_py.cli import expunge_command +from quantaq_tools import expunge_dataframe, flag_summary +from quantaq_tools.cli import expunge_command class SetupTestCase(unittest.TestCase): def setUp(self): diff --git a/tests/test_flag.py b/tests/test_flag.py index 2582a21..2ee171f 100644 --- a/tests/test_flag.py +++ b/tests/test_flag.py @@ -7,7 +7,7 @@ import pandas as pd from click.testing import CliRunner -from quantaq_py.cli import flag_command +from quantaq_tools.cli import flag_command class SetupTestCase(unittest.TestCase): def setUp(self): diff --git a/tests/test_merge.py b/tests/test_merge.py index 684fe62..7cfcb7b 100644 --- a/tests/test_merge.py +++ b/tests/test_merge.py @@ -8,8 +8,8 @@ from click.testing import CliRunner import pandas as pd -from quantaq_py.cli import concat_command, merge_command -from quantaq_py.utilities import safe_load +from quantaq_tools.cli import concat_command, merge_command +from quantaq_tools.utilities import safe_load class SetupTestCase(unittest.TestCase): diff --git a/tests/test_resample.py b/tests/test_resample.py index 53d908c..7921fce 100644 --- a/tests/test_resample.py +++ b/tests/test_resample.py @@ -10,9 +10,9 @@ from click.testing import CliRunner from loguru import logger -from quantaq_py.toolkit.resample import resample_dataframe -from quantaq_py.cli import resample_command -from quantaq_py.utilities import safe_load +from quantaq_tools.toolkit.resample import resample_dataframe +from quantaq_tools.cli import resample_command +from quantaq_tools.utilities import safe_load class SetupTestCase(unittest.TestCase): diff --git a/tests/test_utilities.py b/tests/test_utilities.py index fbfa71a..4d49c40 100644 --- a/tests/test_utilities.py +++ b/tests/test_utilities.py @@ -5,8 +5,8 @@ import numpy as np -from quantaq_py.utilities import safe_load -from quantaq_py.utilities import sn_to_model, infer_data_model, infer_data_source +from quantaq_tools.utilities import safe_load +from quantaq_tools.utilities import sn_to_model, infer_data_model, infer_data_source class SetupTestCase(unittest.TestCase): def setUp(self): From 8839d930361e241a56e688ff7e4be99d373cf269 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 8 Jul 2026 15:12:10 -0400 Subject: [PATCH 58/60] Set log level for noisy loggers to WARNING --- quantaq_tools/log.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/quantaq_tools/log.py b/quantaq_tools/log.py index 7aaa4d1..fe9588f 100644 --- a/quantaq_tools/log.py +++ b/quantaq_tools/log.py @@ -20,6 +20,8 @@ def emit(self, record): depth += 1 logger.opt(depth=depth, exception=record.exc_info).log(level, record.getMessage()) +_NOISY_LOGGERS = ("matplotlib", "urllib3") + def configure_logging(level: str = "INFO") -> None: """Reset loguru to log to stderr at the given level. @@ -33,4 +35,6 @@ def configure_logging(level: str = "INFO") -> None: logger.remove() logger.add(sys.stderr, level=level.upper()) logging.basicConfig(handlers=[_InterceptHandler()], level=0, force=True) - \ No newline at end of file + for name in _NOISY_LOGGERS: + logging.getLogger(name).setLevel(logging.WARNING) + \ No newline at end of file From a294b6a23b40ed5b2c8a0a1b7143bc908731ac60 Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 8 Jul 2026 16:11:51 -0400 Subject: [PATCH 59/60] Add init file --- quantaq_tools/toolkit/__init__.py | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 quantaq_tools/toolkit/__init__.py diff --git a/quantaq_tools/toolkit/__init__.py b/quantaq_tools/toolkit/__init__.py new file mode 100644 index 0000000..e69de29 From 06e23560715060749bf1be80ea135311d487c2ef Mon Sep 17 00:00:00 2001 From: Emmie Le Roy <47359313+emmleroy@users.noreply.github.com> Date: Wed, 8 Jul 2026 17:30:41 -0400 Subject: [PATCH 60/60] Undo package rename --- pyproject.toml | 4 ++-- quantaq_cli/__init__.py | 18 ++++++++++++++++++ {quantaq_tools => quantaq_cli}/cli.py | 16 ++++++++-------- {quantaq_tools => quantaq_cli}/exceptions.py | 0 {quantaq_tools => quantaq_cli}/log.py | 0 {quantaq_tools => quantaq_cli}/schema.py | 0 .../toolkit/__init__.py | 0 .../toolkit/concat.py | 2 +- .../toolkit/expunge.py | 4 ++-- {quantaq_tools => quantaq_cli}/toolkit/flag.py | 8 ++++---- .../toolkit/merge.py | 2 +- .../toolkit/munge.py | 4 ++-- .../toolkit/resample.py | 4 ++-- {quantaq_tools => quantaq_cli}/utilities.py | 4 ++-- {quantaq_tools => quantaq_cli}/variables.py | 0 quantaq_tools/__init__.py | 18 ------------------ tests/test_clean.py | 2 +- tests/test_concat.py | 4 ++-- tests/test_expunge.py | 4 ++-- tests/test_flag.py | 2 +- tests/test_merge.py | 4 ++-- tests/test_resample.py | 6 +++--- tests/test_utilities.py | 4 ++-- 23 files changed, 55 insertions(+), 55 deletions(-) create mode 100644 quantaq_cli/__init__.py rename {quantaq_tools => quantaq_cli}/cli.py (93%) rename {quantaq_tools => quantaq_cli}/exceptions.py (100%) rename {quantaq_tools => quantaq_cli}/log.py (100%) rename {quantaq_tools => quantaq_cli}/schema.py (100%) rename {quantaq_tools => quantaq_cli}/toolkit/__init__.py (100%) rename {quantaq_tools => quantaq_cli}/toolkit/concat.py (93%) rename {quantaq_tools => quantaq_cli}/toolkit/expunge.py (90%) rename {quantaq_tools => quantaq_cli}/toolkit/flag.py (93%) rename {quantaq_tools => quantaq_cli}/toolkit/merge.py (97%) rename {quantaq_tools => quantaq_cli}/toolkit/munge.py (88%) rename {quantaq_tools => quantaq_cli}/toolkit/resample.py (98%) rename {quantaq_tools => quantaq_cli}/utilities.py (98%) rename {quantaq_tools => quantaq_cli}/variables.py (100%) delete mode 100644 quantaq_tools/__init__.py diff --git a/pyproject.toml b/pyproject.toml index 4fa58f7..8412073 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,5 +1,5 @@ [tool.poetry] -name = "quantaq-tools" +name = "quantaq-cli" version = "1.0.0rc0" description = "The QuantAQ Python Toolkit and CLI" authors = ["David H Hagan "] @@ -34,7 +34,7 @@ sphinx-rtd-theme = "^2.0" setuptools = "^65.6.3" [tool.poetry.scripts] -quantaq-py = "quantaq_tools.cli:main" +quantaq-cli = "quantaq_cli.cli:main" [build-system] requires = ["poetry-core>=1.0.0"] diff --git a/quantaq_cli/__init__.py b/quantaq_cli/__init__.py new file mode 100644 index 0000000..a8a328d --- /dev/null +++ b/quantaq_cli/__init__.py @@ -0,0 +1,18 @@ +from quantaq_cli.toolkit.concat import concat_files +from quantaq_cli.toolkit.merge import merge_files +from quantaq_cli.toolkit.resample import resample_dataframe +from quantaq_cli.toolkit.flag import flag_dataframe, echo_flag_table, flag_summary +from quantaq_cli.toolkit.expunge import expunge_dataframe +from quantaq_cli.toolkit.munge import clean_dataframe + + +__all__ = [ + "concat_files", + "merge_files", + "resample_dataframe", + "flag_dataframe", + "echo_flag_table", + "expunge_dataframe", + "flag_summary", + "clean_dataframe" +] diff --git a/quantaq_tools/cli.py b/quantaq_cli/cli.py similarity index 93% rename from quantaq_tools/cli.py rename to quantaq_cli/cli.py index c9d0fea..f6143af 100644 --- a/quantaq_tools/cli.py +++ b/quantaq_cli/cli.py @@ -4,18 +4,18 @@ import rich_click as click from loguru import logger -from quantaq_tools import concat_files, merge_files, resample_dataframe, clean_dataframe -from quantaq_tools import flag_dataframe, echo_flag_table, expunge_dataframe -from quantaq_tools.exceptions import InvalidFileExtension -from quantaq_tools.log import configure_logging, LOG_LEVELS -from quantaq_tools.toolkit.resample import WIND_COLUMNS -from quantaq_tools.utilities import safe_load -from quantaq_tools.variables import SUPPORTED_MODELS, SUPPORTED_SOURCES +from quantaq_cli import concat_files, merge_files, resample_dataframe, clean_dataframe +from quantaq_cli import flag_dataframe, echo_flag_table, expunge_dataframe +from quantaq_cli.exceptions import InvalidFileExtension +from quantaq_cli.log import configure_logging, LOG_LEVELS +from quantaq_cli.toolkit.resample import WIND_COLUMNS +from quantaq_cli.utilities import safe_load +from quantaq_cli.variables import SUPPORTED_MODELS, SUPPORTED_SOURCES CONTEXT_SETTINGS = dict(help_option_names=['-h', '--help']) -__version__ = pkg_resources.get_distribution('quantaq_tools').version +__version__ = pkg_resources.get_distribution('quantaq_cli').version @click.group(context_settings=CONTEXT_SETTINGS) diff --git a/quantaq_tools/exceptions.py b/quantaq_cli/exceptions.py similarity index 100% rename from quantaq_tools/exceptions.py rename to quantaq_cli/exceptions.py diff --git a/quantaq_tools/log.py b/quantaq_cli/log.py similarity index 100% rename from quantaq_tools/log.py rename to quantaq_cli/log.py diff --git a/quantaq_tools/schema.py b/quantaq_cli/schema.py similarity index 100% rename from quantaq_tools/schema.py rename to quantaq_cli/schema.py diff --git a/quantaq_tools/toolkit/__init__.py b/quantaq_cli/toolkit/__init__.py similarity index 100% rename from quantaq_tools/toolkit/__init__.py rename to quantaq_cli/toolkit/__init__.py diff --git a/quantaq_tools/toolkit/concat.py b/quantaq_cli/toolkit/concat.py similarity index 93% rename from quantaq_tools/toolkit/concat.py rename to quantaq_cli/toolkit/concat.py index f9e9f72..83b9ee5 100644 --- a/quantaq_tools/toolkit/concat.py +++ b/quantaq_cli/toolkit/concat.py @@ -1,7 +1,7 @@ from loguru import logger import pandas as pd -from quantaq_tools.utilities import safe_load, fix_timestamps +from quantaq_cli.utilities import safe_load, fix_timestamps def concat_files(files): """Concatenate multiple files into a single DataFrame and sort based on a diff --git a/quantaq_tools/toolkit/expunge.py b/quantaq_cli/toolkit/expunge.py similarity index 90% rename from quantaq_tools/toolkit/expunge.py rename to quantaq_cli/toolkit/expunge.py index 6beb7a8..67ad8b2 100644 --- a/quantaq_tools/toolkit/expunge.py +++ b/quantaq_cli/toolkit/expunge.py @@ -1,8 +1,8 @@ import numpy as np from loguru import logger -from quantaq_tools.utilities import determine_timestamp_column -from quantaq_tools.variables import FLAG_DEFINITIONS +from quantaq_cli.utilities import determine_timestamp_column +from quantaq_cli.variables import FLAG_DEFINITIONS def expunge_dataframe(df): diff --git a/quantaq_tools/toolkit/flag.py b/quantaq_cli/toolkit/flag.py similarity index 93% rename from quantaq_tools/toolkit/flag.py rename to quantaq_cli/toolkit/flag.py index e952da3..8d6274e 100644 --- a/quantaq_tools/toolkit/flag.py +++ b/quantaq_cli/toolkit/flag.py @@ -5,10 +5,10 @@ import rich from rich.table import Table -from quantaq_tools.variables import FLAG_DEFINITIONS, SUPPORTED_MODELS, SUPPORTED_SOURCES -from quantaq_tools.variables import Range, Gap, flag_name_to_criteria -from quantaq_tools.utilities import fix_timestamps, determine_timestamp_column -from quantaq_tools.utilities import infer_data_source, infer_data_model +from quantaq_cli.variables import FLAG_DEFINITIONS, SUPPORTED_MODELS, SUPPORTED_SOURCES +from quantaq_cli.variables import Range, Gap, flag_name_to_criteria +from quantaq_cli.utilities import fix_timestamps, determine_timestamp_column +from quantaq_cli.utilities import infer_data_source, infer_data_model def _add_flag(df, flag_name, flag_value, criterion): diff --git a/quantaq_tools/toolkit/merge.py b/quantaq_cli/toolkit/merge.py similarity index 97% rename from quantaq_tools/toolkit/merge.py rename to quantaq_cli/toolkit/merge.py index badea91..00b449d 100644 --- a/quantaq_tools/toolkit/merge.py +++ b/quantaq_cli/toolkit/merge.py @@ -1,7 +1,7 @@ from loguru import logger import pandas as pd -from quantaq_tools.utilities import safe_load, fix_timestamps +from quantaq_cli.utilities import safe_load, fix_timestamps def merge_files(files, tscol="timestamp", suffixes=('_left', '_right'), keep="both"): diff --git a/quantaq_tools/toolkit/munge.py b/quantaq_cli/toolkit/munge.py similarity index 88% rename from quantaq_tools/toolkit/munge.py rename to quantaq_cli/toolkit/munge.py index 187c393..a5387fd 100644 --- a/quantaq_tools/toolkit/munge.py +++ b/quantaq_cli/toolkit/munge.py @@ -3,8 +3,8 @@ import pandas as pd from loguru import logger -from quantaq_tools.exceptions import InvalidFileExtension -from quantaq_tools.utilities import fix_timestamps, drop_unnamed +from quantaq_cli.exceptions import InvalidFileExtension +from quantaq_cli.utilities import fix_timestamps, drop_unnamed def clean_dataframe(df): diff --git a/quantaq_tools/toolkit/resample.py b/quantaq_cli/toolkit/resample.py similarity index 98% rename from quantaq_tools/toolkit/resample.py rename to quantaq_cli/toolkit/resample.py index cfa3299..8a76d91 100644 --- a/quantaq_tools/toolkit/resample.py +++ b/quantaq_cli/toolkit/resample.py @@ -7,8 +7,8 @@ import pandas as pd from pandas.api.types import is_numeric_dtype, is_datetime64_any_dtype -from quantaq_tools.exceptions import InvalidFileExtension -from quantaq_tools.utilities import safe_load +from quantaq_cli.exceptions import InvalidFileExtension +from quantaq_cli.utilities import safe_load # Default (u, v, speed, direction) column names for vector wind averaging. diff --git a/quantaq_tools/utilities.py b/quantaq_cli/utilities.py similarity index 98% rename from quantaq_tools/utilities.py rename to quantaq_cli/utilities.py index 33c565a..e3058d6 100644 --- a/quantaq_tools/utilities.py +++ b/quantaq_cli/utilities.py @@ -4,8 +4,8 @@ import pandas as pd import pandera.pandas as pa -from quantaq_tools.exceptions import InvalidFileExtension -from quantaq_tools.schema import build_dtype_schema, COLUMN_DEFINITIONS +from quantaq_cli.exceptions import InvalidFileExtension +from quantaq_cli.schema import build_dtype_schema, COLUMN_DEFINITIONS def drop_unnamed(df): """Drop unnamed columns. diff --git a/quantaq_tools/variables.py b/quantaq_cli/variables.py similarity index 100% rename from quantaq_tools/variables.py rename to quantaq_cli/variables.py diff --git a/quantaq_tools/__init__.py b/quantaq_tools/__init__.py deleted file mode 100644 index 3f13a7c..0000000 --- a/quantaq_tools/__init__.py +++ /dev/null @@ -1,18 +0,0 @@ -from quantaq_tools.toolkit.concat import concat_files -from quantaq_tools.toolkit.merge import merge_files -from quantaq_tools.toolkit.resample import resample_dataframe -from quantaq_tools.toolkit.flag import flag_dataframe, echo_flag_table, flag_summary -from quantaq_tools.toolkit.expunge import expunge_dataframe -from quantaq_tools.toolkit.munge import clean_dataframe - - -__all__ = [ - "concat_files", - "merge_files", - "resample_dataframe", - "flag_dataframe", - "echo_flag_table", - "expunge_dataframe", - "flag_summary", - "clean_dataframe" -] diff --git a/tests/test_clean.py b/tests/test_clean.py index e0b84c8..59540de 100644 --- a/tests/test_clean.py +++ b/tests/test_clean.py @@ -6,7 +6,7 @@ import shutil, tempfile import pandas as pd -from quantaq_tools.cli import clean_command +from quantaq_cli.cli import clean_command class SetupTestCase(unittest.TestCase): diff --git a/tests/test_concat.py b/tests/test_concat.py index a408a1b..2b3999f 100644 --- a/tests/test_concat.py +++ b/tests/test_concat.py @@ -6,8 +6,8 @@ import shutil, tempfile import pandas as pd -from quantaq_tools.cli import concat_command -from quantaq_tools.utilities import safe_load +from quantaq_cli.cli import concat_command +from quantaq_cli.utilities import safe_load class SetupTestCase(unittest.TestCase): def setUp(self): diff --git a/tests/test_expunge.py b/tests/test_expunge.py index 21f6537..2413a45 100644 --- a/tests/test_expunge.py +++ b/tests/test_expunge.py @@ -10,8 +10,8 @@ import pandas as pd from pandas.testing import assert_frame_equal -from quantaq_tools import expunge_dataframe, flag_summary -from quantaq_tools.cli import expunge_command +from quantaq_cli import expunge_dataframe, flag_summary +from quantaq_cli.cli import expunge_command class SetupTestCase(unittest.TestCase): def setUp(self): diff --git a/tests/test_flag.py b/tests/test_flag.py index 2ee171f..df3ed56 100644 --- a/tests/test_flag.py +++ b/tests/test_flag.py @@ -7,7 +7,7 @@ import pandas as pd from click.testing import CliRunner -from quantaq_tools.cli import flag_command +from quantaq_cli.cli import flag_command class SetupTestCase(unittest.TestCase): def setUp(self): diff --git a/tests/test_merge.py b/tests/test_merge.py index 7cfcb7b..ba401cf 100644 --- a/tests/test_merge.py +++ b/tests/test_merge.py @@ -8,8 +8,8 @@ from click.testing import CliRunner import pandas as pd -from quantaq_tools.cli import concat_command, merge_command -from quantaq_tools.utilities import safe_load +from quantaq_cli.cli import concat_command, merge_command +from quantaq_cli.utilities import safe_load class SetupTestCase(unittest.TestCase): diff --git a/tests/test_resample.py b/tests/test_resample.py index 7921fce..1df1c67 100644 --- a/tests/test_resample.py +++ b/tests/test_resample.py @@ -10,9 +10,9 @@ from click.testing import CliRunner from loguru import logger -from quantaq_tools.toolkit.resample import resample_dataframe -from quantaq_tools.cli import resample_command -from quantaq_tools.utilities import safe_load +from quantaq_cli.toolkit.resample import resample_dataframe +from quantaq_cli.cli import resample_command +from quantaq_cli.utilities import safe_load class SetupTestCase(unittest.TestCase): diff --git a/tests/test_utilities.py b/tests/test_utilities.py index 4d49c40..2d2d049 100644 --- a/tests/test_utilities.py +++ b/tests/test_utilities.py @@ -5,8 +5,8 @@ import numpy as np -from quantaq_tools.utilities import safe_load -from quantaq_tools.utilities import sn_to_model, infer_data_model, infer_data_source +from quantaq_cli.utilities import safe_load +from quantaq_cli.utilities import sn_to_model, infer_data_model, infer_data_source class SetupTestCase(unittest.TestCase): def setUp(self):

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