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Diffstat (limited to 'sql/graph_builder.py')
| -rw-r--r-- | sql/graph_builder.py | 128 |
1 files changed, 128 insertions, 0 deletions
diff --git a/sql/graph_builder.py b/sql/graph_builder.py new file mode 100644 index 0000000..df108b3 --- /dev/null +++ b/sql/graph_builder.py @@ -0,0 +1,128 @@ +import plotly.graph_objs as go +import pandas as pd +import mysql.connector +from mysql.connector import errorcode +import warnings +import math +from datetime import datetime, timedelta +import numpy as np + + +def plot_subscriber_count_over_time(host, username, password, database_name, table_name, + gtitle = "Subscriber Count Over Time for Nijisanji Members", + overrideQuery = None, markers = "lines", exclude_channels = []): + warnings.filterwarnings('ignore') # Ignore pandas warning regarding pyodbc + try: + cnx = mysql.connector.connect(user = username, password = password, + host = host, database = database_name) + except mysql.connector.Error as err: + if err.errno == errorcode.ER_ACCESS_DENIED_ERROR: + print("Something is wrong with your user name or password") + elif err.errno == errorcode.ER_BAD_DB_ERROR: + print("Database does not exist") + else: + print(err) + query = f"SELECT name, subscriber_count, timestamp, channel_id FROM {table_name} ORDER by timestamp DESC" if overrideQuery is None else overrideQuery + df = pd.read_sql_query(query, cnx) + groups = df.groupby("name") + fig = go.Figure() + config = dict({'responsive': True, 'displaylogo': False}) + for channel, group in groups: + if len(exclude_channels) != 0 and group['channel_id'].iloc[0] in exclude_channels: + continue + fig.add_trace(go.Scattergl( + x = group["timestamp"], y = group["subscriber_count"], name = channel, mode = markers, + showlegend = True)) + + fig.update_layout( + title = {'text': gtitle, 'x': 0.5, 'xanchor': 'center', + 'yanchor': 'top', 'font': {'family': 'Arial', 'size': 30}}, + xaxis_title = "Timestamp", + yaxis_title = "Subscribers", + legend = dict(font = dict(size = 16), title = dict(text = "Channels")), + height = 950 + ) + return fig.to_html(config = config) + + +def generate_projection(host, username, password, database_name, table_name, curr_subscribers, + timezone = "Pacific Standard Time"): + def get_next_milestone(subscriber_count): + num_digits = len(str(subscriber_count)) + if num_digits <= 4: + milestone_interval = 10000 + else: + milestone_interval = 10 ** (num_digits - 1) + next_milestone = math.ceil( + subscriber_count / milestone_interval) * milestone_interval + + return next_milestone + + warnings.filterwarnings('ignore') # Ignore pandas warning regarding pyodbc + try: + cnx = mysql.connector.connect(user = username, password = password, + host = host, database = database_name) + except mysql.connector.Error as err: + if err.errno == errorcode.ER_ACCESS_DENIED_ERROR: + print("Something is wrong with your user name or password") + elif err.errno == errorcode.ER_BAD_DB_ERROR: + print("Database does not exist") + else: + print(err) + + def create_milestone_card(time_until_milestone, next_milestone, not_enough_data = False, + declining = False): + now = datetime.now() + milestone_date = ( + now + timedelta(seconds = time_until_milestone)).strftime('%Y-%m-%d') + relative_time = now + timedelta(seconds = time_until_milestone) - now + next_milestone_str = "{:,}".format(next_milestone) + if relative_time.days > 1: + relative_time_str = f"In {relative_time.days} days" + elif relative_time.days == 1: + relative_time_str = f"In {relative_time.days} day" + elif relative_time.days < 0: + relative_time_str = f"{-relative_time.days} days ago" + elif not_enough_data: + relative_time_str = "Not enough data" + elif declining: + relative_time_str = "Declining" + else: + relative_time_str = "Today" + card = f""" + <div style="background-color: #ffffff; padding: 20px; border-radius: 10px; box-shadow: 0 0 10px rgba(0, 0, 0, 0.2); font-family: 'Poppins', sans-serif;"> + <div style="font-size: 24px; font-weight: bold; margin-bottom: 10px;">Next Milestone</div> + <div style="font-size: 18px; margin-bottom: 10px;">{next_milestone_str}</div> + <div style="display: flex; flex-direction: row; justify-content: space-between; margin-bottom: 10px;"> + <div style="font-size: 16px;">Estimated Date:</div> + <div style="font-size: 16px; font-weight: bold;">{milestone_date}</div> + </div> + <div style="display: flex; flex-direction: row; justify-content: space-between; color: #888;"> + <div style="font-size: 16px;">{relative_time_str}</div> + <div style="font-size: 16px;">{timezone}</div> + </div> + </div> + <br> + """ + + return card + + query = f"SELECT name, subscriber_count, timestamp FROM {table_name} WHERE timestamp >= DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY) ORDER BY timestamp DESC" + df = pd.read_sql_query(query, cnx) + df = df.sort_values(by = 'timestamp') + # get the rate of change from first data point to last data point + first_data = df.iloc[0] + last_data = df.iloc[-1] + delta_sub_count = last_data['subscriber_count'] - first_data['subscriber_count'] + delta_time = (last_data['timestamp'] - first_data['timestamp']).total_seconds() + + # Calculate the average rate of change of subscriber_count over time + avg_rate_of_change = delta_sub_count / delta_time + next_milestone = get_next_milestone(curr_subscribers) + if avg_rate_of_change == 0 or math.isnan(avg_rate_of_change) or math.isinf(avg_rate_of_change): + return create_milestone_card(0, next_milestone, not_enough_data = True) + if avg_rate_of_change < 0: + return create_milestone_card(0, next_milestone, declining = True) + time_to_next_milestone = ( + next_milestone - curr_subscribers) / avg_rate_of_change + return create_milestone_card(time_to_next_milestone, next_milestone) |