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Add function to add first issuance and retirement dates to project data #9

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merged 3 commits into from
Nov 13, 2023
Merged

Add function to add first issuance and retirement dates to project data #9

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5482c59
add function to add first issuance and retirement dates to project data
andersy005 Nov 13, 2023
b897e87
udpate field names
andersy005 Nov 13, 2023
4feddd3
remove inplace
andersy005 Nov 13, 2023
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6 changes: 3 additions & 3 deletions .pre-commit-config.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -14,17 +14,17 @@ repos:
- id: mixed-line-ending

- repo: https://github.com/astral-sh/ruff-pre-commit
rev: 'v0.1.3'
rev: 'v0.1.5'
hooks:
- id: ruff
args: ['--fix']

- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.1.3
rev: v0.1.5
hooks:
- id: ruff-format

- repo: https://github.com/pre-commit/mirrors-prettier
rev: v3.0.3
rev: v3.1.0
hooks:
- id: prettier
52 changes: 52 additions & 0 deletions offsets_db_data/projects.py
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Expand Up @@ -15,6 +15,56 @@
)


def add_first_issuance_and_retirement_dates(
*, credits_data: pd.DataFrame, projects_data: pd.DataFrame
) -> pd.DataFrame:
"""
Add the first issuance date of carbon credits to each project in the projects DataFrame.

Parameters
----------
credits_data : pd.DataFrame
A pandas DataFrame containing credit issuance data with columns 'project_id', 'transaction_date', and 'transaction_type'.
projects_data : pd.DataFrame
A pandas DataFrame containing project data with a 'project_id' column.

Returns
-------
projects_data : pd.DataFrame
A pandas DataFrame which is the original projects DataFrame with two additional columns 'first_issuance_at' representing
the first issuance date of each project and 'first_retirement_at' representing the first retirement date of each project.
"""

first_issuance = (
credits_data[credits_data['transaction_type'] == 'issuance']
.groupby('project_id')['transaction_date']
.min()
.reset_index()
)
first_retirement = (
credits_data[credits_data['transaction_type'] != 'issuance']
.groupby('project_id')['transaction_date']
.min()
.reset_index()
)

# Merge the projects DataFrame with the first issuance and retirement dates
projects_with_dates = pd.merge(projects_data, first_issuance, on='project_id', how='left')
projects_with_dates = pd.merge(
projects_with_dates, first_retirement, on='project_id', how='left'
)

# Rename the merged columns for clarity
projects_with_dates = projects_with_dates.rename(
columns={
'transaction_date_x': 'first_issuance_at',
'transaction_date_y': 'first_retirement_at',
}
)

return projects_with_dates


def add_retired_and_issued_totals(
*, credits_data: pd.DataFrame, projects_data: pd.DataFrame
) -> pd.DataFrame:
Expand Down Expand Up @@ -112,6 +162,8 @@ def filter_project_data(data: pd.DataFrame) -> pd.DataFrame:
'retired': float,
'issued': float,
'listed_at': pd.DatetimeTZDtype(tz='UTC'),
'first_issuance_at': pd.DatetimeTZDtype(tz='UTC'),
'first_retirement_at': pd.DatetimeTZDtype(tz='UTC'),
}

for filtered_column in filtered_columns_dtypes:
Expand Down