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dbservices.py
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dbservices.py
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from dbinit import cnx, DB_NAME
import mysql.connector
from mysql.connector import errorcode
from pandas import DataFrame
# Insert User Records into table
def insert_user(followed_id, id, user_at, is_private, AVI_path, description, created):
cursor = cnx.cursor(named_tuple = True, buffered = True)
# Insert into the account table
try:
cursor.execute("""
INSERT INTO account (id, user_at, is_private, AVI_path, description, created)
VALUES (%s, %s, %s, %s, %s, %s);
""", [id, user_at, is_private, AVI_path, description, created])
cnx.commit()
# Insert into the follows table
cursor.execute("""
INSERT INTO follows (followed_id, follower_id)
VALUES (%s, %s);
""", [followed_id, id])
cnx.commit()
return 0
except mysql.connector.Error as error:
return error.msg
# Get the COUNT of the followers of a user by id.
def indexed_followers(poi_id):
cursor = cnx.cursor(buffered = True)
# Select the db
cursor.execute(f"""
USE {DB_NAME};
""")
cnx.commit()
# Get the count of all followers of the poi
try:
cursor.execute("""
SELECT COUNT(*) FROM follows
WHERE followed_id = %s;
""", [poi_id])
followers = cursor.fetchone()
# return number of records
return followers[0]
except mysql.connector.Error as error:
return error.msg
# Get a user's map score by id
def get_map_score(poi_id):
cursor = cnx.cursor(buffered = True)
# Get the count of all followers of the poi
try:
cursor.execute("""
SELECT score FROM MAP_score
WHERE user_id = %s;
""", [poi_id])
score = cursor.fetchone()
# return number of records
return score[0]
except mysql.connector.Error as error:
return error.msg
# Assign a user map score by id
def assign_map_score(poi_id, score):
cursor = cnx.cursor(buffered = True)
# Insert into the MAP_score table
try:
cursor.execute("""
INSERT INTO MAP_score (user_id, score)
VALUES (%s, %s);
""", [poi_id, score])
cnx.commit()
except mysql.connector.Error as error:
return error.msg
# Get a user's zoo score by id
def get_zoo_score(poi_id):
cursor = cnx.cursor(buffered = True)
# Get the count of all followers of the poi
try:
cursor.execute("""
SELECT score FROM ZOO_score
WHERE user_id = %s;
""", [poi_id])
score = cursor.fetchone()
# return number of records
return score[0]
except mysql.connector.Error as error:
return error.msg
# Assign a user's zoo score by id
def assign_zoo_score(poi_id, score):
cursor = cnx.cursor(buffered = True)
# Insert into the MAP_score table
try:
cursor.execute("""
INSERT INTO ZOO_score (user_id, score)
VALUES (%s, %s);
""", [poi_id, score])
cnx.commit()
except mysql.connector.Error as error:
return error.msg
# Get a dataframe of all user-follower relationships
def get_follower_relationships(num: int) -> DataFrame|str:
# Get tuple of all follower relationships over score threshold.
cursor = cnx.cursor(named_tuple = True, buffered = True)
try:
"""
The following query has been limited to only return a user defined number of accounts
As processing all accounts every time takes far too long and graphs become less readable.
"""
cursor.execute("""
SELECT acc1.user_at as followed_handle, acc2.user_at as follower_handle, f.followed_id, f.follower_id, m.score AS map, z.score as zoo
FROM follows f
JOIN account acc1
ON acc1.id = f.followed_id
JOIN account acc2
ON acc2.id = f.follower_id
JOIN map_score m
ON f.followed_id = m.user_id
JOIN zoo_score z
ON z.user_id = f.followed_id
ORDER BY RAND() LIMIT %s;
""", [num])
return DataFrame(cursor.fetchall(), columns = ['followed_handle', 'follower_handle', 'followed_id', 'follower_id', 'map', 'zoo'])
except mysql.connector.Error as error:
return error.ms
# Get followers of current person of interest
# Get user that has not been crawled yet
def get_next_poi(current_poi, api):
# Get tuple of all followers of current poi.
cursor = cnx.cursor(named_tuple = True, buffered = True)
current_poi_id = current_poi.id_str
try:
cursor.execute("""
SELECT follower_id FROM follows
WHERE followed_id = %s;
""",[current_poi_id])
prospective_poi_ids = cursor.fetchall()
# Check if any followers have been recorded for these ids
# The first one which hasn't been scraped will be returned.
for row in prospective_poi_ids:
try:
cursor.execute("""
SELECT * FROM follows
WHERE followed_id = %s LIMIT 1;
""", [row.follower_id])
followers = cursor.fetchone()
if followers is None:
# We split these into two lines rather than one compound statement
# to minimize the number of API and fcuntion calls. While the difference is minimal for small
# networks, it compounds as the network grows.
p_poi = api.get_user(user_id = row.follower_id)
#print('Acc:', prospective_poi.name, ' | Protected: ', prospective_poi.protected)
if not p_poi.protected:
# We only want to scrape accounts which have some definitive symbol
m, z = calc_map_score(p_poi.name, p_poi.screen_name, p_poi.description)
if m >= 0.50 or z >= 0.50:
return row.follower_id, m, z
except mysql.connector.Error as error:
return error.ms
return 0
except mysql.connector.Error as error:
return error.ms
# Here we calculate the map and zoo scores of an account
# Any Symbol-Score dictionaries could be implemented and tweaked here
def calc_map_score(name, user_at, description, prev_map_score = 0, prev_zoo_score = 0):
# Description is sometimes empty so we convert to empty string
# if description is returned as None
description = " " or description
zoo_symbols = {"ζ":0.50, "zoo":0.20, "ζoo":0.60, "ς":0.35, "feral":0.15, "💄":0.35, "therian":0.15, "pro-contact":0.35, "pro-c":0.25}
map_symbols = {"map":0.25, "nomap":0.25, "no-map":0.30, "aam":0.05, "paraphil":0.20, "ς":0.45, "pro-c":0.20, "pro-ς":0.50, "pro-contact":0.30, "anti-c":0.15, "loli":0.10,"cunny":0.025}
# Zoo score calculation
zoo_score = 0.25 * float(prev_zoo_score)
for symbol in zoo_symbols.keys():
if (symbol in name.lower()) or (symbol in description.lower()) or (symbol in user_at.lower()):
zoo_score += zoo_symbols[symbol]
if zoo_score >= 1.000:
zoo_score = 1
break
# MAP score calculation
map_score = 0.25 * float(prev_map_score)
for symbol in map_symbols.keys():
if (symbol in name.lower()) or (symbol in description.lower()) or (symbol in user_at.lower()):
map_score += map_symbols[symbol]
if map_score >= 1.00:
map_score = 1
break
return (map_score, zoo_score)