From f888cf55d45612fe058e8cf435bdc8cb45a72241 Mon Sep 17 00:00:00 2001 From: Madison Swain-Bowden Date: Tue, 28 Nov 2023 11:19:05 -0800 Subject: [PATCH 1/4] Refactor some utilities --- .../project_planning/graph_project_voting.py | 45 +++++-------------- utilities/project_planning/sheet_utils.py | 45 +++++++++++++++++++ 2 files changed, 57 insertions(+), 33 deletions(-) create mode 100644 utilities/project_planning/sheet_utils.py diff --git a/utilities/project_planning/graph_project_voting.py b/utilities/project_planning/graph_project_voting.py index 3ea54ce6fc4..7588025581f 100644 --- a/utilities/project_planning/graph_project_voting.py +++ b/utilities/project_planning/graph_project_voting.py @@ -11,6 +11,7 @@ import matplotlib.pyplot as plt import pandas as pd +import sheet_utils INPUT_FILE = Path(__file__).parent / "data" / "votes.xlsx" OUTPUT_PATH = Path(__file__).parent / "output" @@ -20,23 +21,6 @@ COLUMN_CONFIDENCE = "Confidence (1-3)" -def get_columns_by_members( - frames: dict[str, pd.DataFrame], - members: list[str], - projects: pd.Series, - column: str, -): - """ - Create a new DataFrame which pulls out the provided column from each of the member - sheets, and sets the index to the project names. - """ - data = pd.DataFrame([frames[name][column] for name in members], index=members) - # The data is transposed here because the DataFrame constructor creates a DataFrame - # with the projects as the columns, and the members as the index, whereas we want - # the projects as the index. - return data.T.set_index(projects) - - def plot_votes( data: pd.DataFrame, color_by: pd.Series, column: str, year: int, output_path: Path ): @@ -106,27 +90,22 @@ def main(output: Path, input_file: Path): # Ensure the output folder exists output.mkdir(parents=True, exist_ok=True) - print(f"Reading input file: {input_file}") - # Read the input file - frames = pd.read_excel( - input_file, - # Include all sheets - sheet_name=None, - # Skip the first 5 rows, which are the instructional text - skiprows=5, - # Use the first row as the header - header=0, - ) - # Pull the project names out of the template sheet - projects = frames["Template"]["Name"] + frames, projects = sheet_utils.read_file(input_file) + # Use the name of the frames as the list of voting members members = list(frames.keys())[1:] # This is planning for the *next* year, e.g. one beyond the current one planning_year = datetime.now().year + 1 - effort = get_columns_by_members(frames, members, projects, COLUMN_EFFORT) - impact = get_columns_by_members(frames, members, projects, COLUMN_IMPACT) - confidence = get_columns_by_members(frames, members, projects, COLUMN_CONFIDENCE) + effort = sheet_utils.get_columns_by_members( + frames, members, projects, COLUMN_EFFORT + ) + impact = sheet_utils.get_columns_by_members( + frames, members, projects, COLUMN_IMPACT + ) + confidence = sheet_utils.get_columns_by_members( + frames, members, projects, COLUMN_CONFIDENCE + ) average_confidence = confidence.mean(axis=1) plot_votes(effort, average_confidence, COLUMN_EFFORT, planning_year, output) diff --git a/utilities/project_planning/sheet_utils.py b/utilities/project_planning/sheet_utils.py new file mode 100644 index 00000000000..96e7e644c1d --- /dev/null +++ b/utilities/project_planning/sheet_utils.py @@ -0,0 +1,45 @@ +from pathlib import Path + +import pandas as pd + + +def read_file(input_file: Path) -> tuple[dict[str, pd.DataFrame], pd.Series]: + """ + Read a structured input excel document and return the various frames and a + list of projects from it. This makes several assumptions about the format of the + file, namely that 5 rows should be skipped, that the document has a "Template" sheet + that can be used for determine the project lists, and that the project lists + are in a column called "Name". + """ + print(f"Reading input file: {input_file}") + # Read the input file + frames = pd.read_excel( + input_file, + # Include all sheets + sheet_name=None, + # Skip the first 5 rows, which are the instructional text + skiprows=5, + # Use the first row as the header + header=0, + ) + # Pull the project names out of the template sheet + projects = frames["Template"]["Name"] + + return frames, projects + + +def get_columns_by_members( + frames: dict[str, pd.DataFrame], + members: list[str], + projects: pd.Series, + column: str, +): + """ + Create a new DataFrame which pulls out the provided column from each of the member + sheets, and sets the index to the project names. + """ + data = pd.DataFrame([frames[name][column] for name in members], index=members) + # The data is transposed here because the DataFrame constructor creates a DataFrame + # with the projects as the columns, and the members as the index, whereas we want + # the projects as the index. + return data.T.set_index(projects) From 9cd18b8c4bc50f306b54186eab60145b0519f9d7 Mon Sep 17 00:00:00 2001 From: Madison Swain-Bowden Date: Tue, 28 Nov 2023 15:56:42 -0800 Subject: [PATCH 2/4] Add average weeks script --- .../calculate_average_weeks_of_work.py | 95 +++++++++++++++++++ 1 file changed, 95 insertions(+) create mode 100644 utilities/project_planning/calculate_average_weeks_of_work.py diff --git a/utilities/project_planning/calculate_average_weeks_of_work.py b/utilities/project_planning/calculate_average_weeks_of_work.py new file mode 100644 index 00000000000..0b8246de60a --- /dev/null +++ b/utilities/project_planning/calculate_average_weeks_of_work.py @@ -0,0 +1,95 @@ +""" +Script for generating average weeks of work based on estimations made by all team +members. + +See the README for more information. +""" +from pathlib import Path + +import click +import pandas as pd +import sheet_utils + + +INPUT_FILE = Path(__file__).parent / "data" / "week_votes.xlsx" +OUTPUT_PATH = Path(__file__).parent / "output" + +COLUMN_WEEKS = "Total weeks" +COLUMN_CONFIDENCE = "Confidence (1-3)" +SKIP_SHEETS = { + # Ignore the template sheet + "Template", + # Design hours were provided separate from dev hours and will be used elsewhere + "Francisco", +} + + +def calculate_weighted_average( + weeks: pd.DataFrame, confidence: pd.DataFrame +) -> pd.DataFrame: + """ + Use the confidence values provided to compute a weighted average, first by averaging + all values that share the same confidence score, then by performing a conditional + weighted average. The weighting is conditional because not all projects have votes + across all 3 confidence values (for instance, a large complex project only having + confidence values 2 and 1). + """ + # Average the 3 votes, 2 votes and 1 votes individually + high_confidence_avg = weeks[confidence == 3].mean(axis=1).fillna(0) + med_confidence_avg = weeks[confidence == 2].mean(axis=1).fillna(0) + low_confidence_avg = weeks[confidence == 1].mean(axis=1).fillna(0) + + # Mask for determining weighted sum + high_mask = (high_confidence_avg > 0) * 3 + med_mask = (med_confidence_avg > 0) * 2 + low_mask = (low_confidence_avg > 0) * 1 + + # Compute the weighted average across rows, using the sum (if it exists!) of + # weights across that row + weighted_average_weeks = ( + high_confidence_avg * 3 + med_confidence_avg * 2 + low_confidence_avg * 1 + ) / (high_mask + med_mask + low_mask) + return weighted_average_weeks.round().astype(int) + + +def _write_file(data: pd.DataFrame, filename: str) -> None: + """Small wrapper for writing dataframes for this script.""" + path = OUTPUT_PATH / filename + print(f"Writing file to {path}") + data.to_csv(path, header=True) + + +@click.command() +@click.option( + "--output", + help="Output directory", + type=click.Path(path_type=Path), + default=OUTPUT_PATH, +) +@click.option( + "--input-file", + help="Input Excel document to use", + type=click.Path(path_type=Path), + default=INPUT_FILE, +) +def main(output: Path, input_file: Path): + # Ensure the output folder exists + output.mkdir(parents=True, exist_ok=True) + + frames, projects = sheet_utils.read_file(input_file) + members = list(set(frames.keys()) - SKIP_SHEETS) + + weeks = sheet_utils.get_columns_by_members(frames, members, projects, COLUMN_WEEKS) + confidence = sheet_utils.get_columns_by_members( + frames, members, projects, COLUMN_CONFIDENCE + ) + + average_weeks = weeks.mean(axis=1).round().astype(int) + weighted_average_weeks = calculate_weighted_average(weeks, confidence) + + _write_file(average_weeks, "average_weeks.csv") + _write_file(weighted_average_weeks, "weighted_average_weeks.csv") + + +if __name__ == "__main__": + main() From 7424b1998b48bbd6c0e55858d45fe618bead6b7f Mon Sep 17 00:00:00 2001 From: Madison Swain-Bowden Date: Tue, 28 Nov 2023 16:29:05 -0800 Subject: [PATCH 3/4] Update README.md --- utilities/project_planning/README.md | 33 +++++++++++++++++- ...hot.png => example_effort_spreadsheet.png} | Bin .../_docs/example_weeks_spreadsheet.png | Bin 0 -> 198129 bytes 3 files changed, 32 insertions(+), 1 deletion(-) rename utilities/project_planning/_docs/{example_spreadsheet_screenshot.png => example_effort_spreadsheet.png} (100%) create mode 100644 utilities/project_planning/_docs/example_weeks_spreadsheet.png diff --git a/utilities/project_planning/README.md b/utilities/project_planning/README.md index 31cd7909b1c..9686e84f34f 100644 --- a/utilities/project_planning/README.md +++ b/utilities/project_planning/README.md @@ -40,7 +40,7 @@ for that project. The input file is an Excel spreadsheet which looks like the following: -![Excel spreadsheet](./_docs/example_spreadsheet_screenshot.png) +![Excel spreadsheet](./_docs/example_effort_spreadsheet.png) The input file should have one "sheet" per voter, with each sheet's title being the member's name. Each sheet should be a copy of the first sheet, named @@ -51,3 +51,34 @@ The output is two box plots, one for effort and one for impact, which look like the following: ![Box plot for effort](./_docs/example_effort.png) + +## Average Weeks of Work Calculation + +In addition to voting on effort and impact, maintainers also vote on the number +of weeks a prospective project might take. Instructions provided to the +maintainers are as follows: + +> **Instructions**: +> +> Provide each project in the sheet a value for each category. The scales > +> aren't a perfect, measurable thing, so use your best judgement and > instinct. +> A notes field is also provided, please use this for notes to > yourself after +> all the values are combined when discussion occurs. All of the projects also +> link back to the description provided for them by the project author. +> +> \# of IPs is defined for you based on the initial project plan, and total +> weeks is calculated automatically. Please fill out how many weeks of worth you +> believe the implementation of the project would take one person working on it +> full time. You can use fractional values like 0.5 or 2.5. + +The script is used to ingest the output of the voting and produce two CSV files +for average weeks and weighted average weeks. The weighted average weeks uses +the confidence value as the weight for the average (although some special +considerations had to be made when performing the actual calculation because not +all projects had votes in all 3 confidence levels). + +The input file is an Excel spreadsheet which looks like the following: + +![Excel spreadsheet](_docs/example_weeks_spreadsheet.png) + +The output CSVs will have two columns: the project name and the computed weeks. diff --git a/utilities/project_planning/_docs/example_spreadsheet_screenshot.png b/utilities/project_planning/_docs/example_effort_spreadsheet.png similarity index 100% rename from utilities/project_planning/_docs/example_spreadsheet_screenshot.png rename to utilities/project_planning/_docs/example_effort_spreadsheet.png diff --git a/utilities/project_planning/_docs/example_weeks_spreadsheet.png b/utilities/project_planning/_docs/example_weeks_spreadsheet.png new file mode 100644 index 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z`5xgNnye*=J}>zDqSV7)Ws1q^8sE1FwXLI1^qw$O&dE{XTfb-j`Bnc>hjI?Lgs>AP U%+F&pN&tJ*RJ4^V6s@BE3-Y;wmjD0& literal 0 HcmV?d00001 From 3727b92e1ecd9d519a407df5f33fb363467e493c Mon Sep 17 00:00:00 2001 From: Madison Swain-Bowden Date: Tue, 28 Nov 2023 16:37:31 -0800 Subject: [PATCH 4/4] Linting --- utilities/project_planning/graph_project_voting.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utilities/project_planning/graph_project_voting.py b/utilities/project_planning/graph_project_voting.py index 7588025581f..df2c79eb9af 100644 --- a/utilities/project_planning/graph_project_voting.py +++ b/utilities/project_planning/graph_project_voting.py @@ -10,9 +10,9 @@ import matplotlib.colors as mcolors import matplotlib.pyplot as plt import pandas as pd - import sheet_utils + INPUT_FILE = Path(__file__).parent / "data" / "votes.xlsx" OUTPUT_PATH = Path(__file__).parent / "output"