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Panel Data (#36)
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* Panel data script

Python script to upload panel data to PostgreSQL database

* Panel data script update

Added README and a couple comments

* Update README.txt

* Update README.txt

* Update README.txt

* Updated panels_data.py based on feedback

- Changed to work as a function and abstracted the queries to allow Solar Panel to work as a class

* Rename panels_data.py to scripts/panel_data/panels_data.py

* Delete scripts/panels_data/panels_data.py

* Rename panels_data.py to panels_data.py

* Changes to panels_data.py

* Delete .DS_Store

* Adding width, height, and area and descriptions in the README

* Delete scripts/.DS_Store

* Linting...

---------

Co-authored-by: j245yang <[email protected]>
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jinayang15 and jinayang15 authored Feb 19, 2024
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24 changes: 24 additions & 0 deletions scripts/panels_data/README.txt
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Python script to upload solar panel data to PostgreSQL database
---------------------------------------------------------------
Based on this information: https://uwmidsun.atlassian.net/wiki/x/HgAnsQ

Fields:
id - autoincrementing integer value, do not input manually
name - name of solar panel, naming scheme goes from back --> front, imagine that you are standing in front of the car and looking at it
*if another naming scheme is preferred, feel free to change it
stack - which stack the panel belongs to
efficiency - how efficient the panels are
*currently set to 0.25, change if necessary
num_panels - how many panels it is made up of
tilt - degree from zenith
width - width of panel in meters (based off each cell being 0.125m wide)
height - height of panel in meters (based off each cell being 0.125m wide)
area - area of panel in meters^2 (based off each cell having an area of roughly 0.0153m^2 -> from the data sheet)
(note: the individual cells are not perfect squares and there are bond pads that do not absorb sunlight so there is a discrepancy
between the area from multiplying width and height and the approximate area based off the data sheet.)

Fields and values can be changed, added, or deleted by editing the script
-----------------------------------------------------------------



215 changes: 215 additions & 0 deletions scripts/panels_data/panels_data.py
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from sqlalchemy import create_engine, MetaData, Column, Integer, String, Float, Table
from sqlalchemy.orm import declarative_base, sessionmaker
import os
from dotenv import load_dotenv

load_dotenv()

Base = declarative_base()


# creating Panel class to declare the structure of the database table and define what the entries look like
class Panel(Base):
__tablename__ = "panels_data"

id = Column(Integer(), primary_key=True, autoincrement=True)
name = Column(String(100), nullable=False, unique=True)
stack = Column(Integer(), nullable=False)
efficiency = Column(Float(), nullable=False)
num_panels = Column(Integer(), nullable=False)
tilt = Column(Float(), nullable=False)
width = Column(Float(), nullable=False)
height = Column(Float(), nullable=False)
area = Column(Float(), nullable=False)


def create_panel_table(db_user, db_password, db_host, db_name):
# connecting to database
engine = create_engine(
f"postgresql+psycopg2://{db_user}:{db_password}@{db_host}/{db_name}"
)

# create session
Session = sessionmaker(bind=engine)
session = Session()

# used to check if table exists
metadata = MetaData()
panel_table = Table(
"panels_data",
metadata,
Column("id", Integer(), primary_key=True, autoincrement=True),
Column("name", String(100), nullable=False, unique=True),
Column("stack", Integer(), nullable=False),
Column("efficiency", Float(), nullable=False),
Column("num_panels", Integer(), nullable=False),
Column("tilt", Float(), nullable=False),
Column("width", Float(), nullable=False),
Column("height", Float(), nullable=False),
Column("area", Float(), nullable=False),
)
panel_area = 0.0153

# drop if exists
panel_table.drop(engine, checkfirst=True)

# create table
metadata.create_all(engine, checkfirst=True)

# setting entry values
panel_data = [
{
"name": "Back Left 1",
"stack": 7,
"efficiency": 0.25,
"num_panels": 28,
"tilt": -8.28,
"width": 0.5,
"height": 0.875,
"area": 28 * panel_area,
},
{
"name": "Back Right 1",
"stack": 8,
"efficiency": 0.25,
"num_panels": 28,
"tilt": -8.28,
"width": 0.5,
"height": 0.875,
"area": 28 * panel_area,
},
{
"name": "Back Middle 1",
"stack": 3,
"efficiency": 0.25,
"num_panels": 12,
"tilt": -8.06,
"width": 0.25,
"height": 0.75,
"area": 12 * panel_area,
},
{
"name": "Back Left 2",
"stack": 9,
"efficiency": 0.25,
"num_panels": 28,
"tilt": -5.21,
"width": 0.5,
"height": 0.875,
"area": 28 * panel_area,
},
{
"name": "Back Right 2",
"stack": 10,
"efficiency": 0.25,
"num_panels": 28,
"tilt": -5.21,
"width": 0.5,
"height": 0.875,
"area": 28 * panel_area,
},
{
"name": "Back Middle 2",
"stack": 1,
"efficiency": 0.25,
"num_panels": 21,
"tilt": -5.21,
"width": 0.375,
"height": 0.875,
"area": 21 * panel_area,
},
{
"name": "Middle Left 1",
"stack": 15,
"efficiency": 0.25,
"num_panels": 18,
"tilt": -2.14,
"width": 0.375,
"height": 0.75,
"area": 18 * panel_area,
},
{
"name": "Middle Right 1",
"stack": 16,
"efficiency": 0.25,
"num_panels": 18,
"tilt": -2.14,
"width": 0.375,
"height": 0.75,
"area": 18 * panel_area,
},
{
"name": "Middle Left 2",
"stack": 4,
"efficiency": 0.25,
"num_panels": 10,
"tilt": 0.77,
"width": 0.25,
"height": 0.625,
"area": 10 * panel_area,
},
{
"name": "Middle Right 2",
"stack": 4,
"efficiency": 0.25,
"num_panels": 10,
"tilt": 0.77,
"width": 0.25,
"height": 0.625,
"area": 10 * panel_area,
},
{
"name": "Front Left",
"stack": 13,
"efficiency": 0.25,
"num_panels": 21,
"tilt": 5.13,
"width": 0.375,
"height": 0.875,
"area": 21 * panel_area,
},
{
"name": "Front Right",
"stack": 2,
"efficiency": 0.25,
"num_panels": 21,
"tilt": 5.13,
"width": 0.375,
"height": 0.875,
"area": 21 * panel_area,
},
{
"name": "Front Middle",
"stack": 11,
"efficiency": 0.25,
"num_panels": 16,
"tilt": 8.75,
"width": 0.5,
"height": 0.5,
"area": 16 * panel_area,
},
]
# unpacking each entry to create a Panel instance and adding to table
for data in panel_data:
panel = Panel(**data)
session.add(panel)

# upload to database
session.commit()
print("Table added successfully.")
# disconnect
engine.dispose()


def main(db_user, db_password, db_host, db_name):
print("Uploading solar panel data into panel_data...")
create_panel_table(db_user, db_password, db_host, db_name)


# allows it to be run as a script
if __name__ == "__main__":
db_user = os.getenv("DB_USERNAME")
db_password = os.getenv("DB_PASSWORD")
db_host = os.getenv("DB_HOSTNAME")
db_name = os.getenv("DB_NAME")
main(db_user, db_password, db_host, db_name)
3 changes: 3 additions & 0 deletions scripts/panels_data/requirements.txt
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psycopg2-binary
python-dotenv
sqlalchemy

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