def initiate():
start_time = time()
print "\n\ndeleting _master_prospects"
del_qry = """DROP TABLE IF EXISTS _master_prospects;"""
del_query = del_qry
db.query(del_query)
db.conn.commit()
print "\ncreating _master_prospects"
query = "CREATE TABLE _master_prospects"
for yr in range(2013, year+1):
query += process_prospects(yr)
print "writing _master_prospects"
query += ";"
db.query(query)
db.conn.commit()
print "\nupdating tables"
update_tables(year)
print "\nexporting to .xlsx"
export_tables(year)
print "\nexporting master to .csv"
export_masterCSV("_master_prospects")
export_masterCSV("_master_current")
end_time = time()
elapsed_time = float(end_time - start_time)
print "\n\nmaster_prospect_tables.py"
print "time elapsed (in seconds): " + str(elapsed_time)
print "time elapsed (in minutes): " + str(elapsed_time/60.0)
def process():
print "processed_team_hitting"
db.query("TRUNCATE TABLE `processed_team_hitting_basic`")
db.query("TRUNCATE TABLE `processed_team_hitting_advanced`")
yr_min, yr_max = db.query(
"SELECT MIN(year), MAX(year) FROM processed_league_averages_pitching"
)[0]
for year in range(yr_min, yr_max + 1):
for _type in ('basic', 'advanced'):
print str(year) + "\thitting\t" + _type
table = 'processed_team_hitting_%s' % (_type)
if _type == 'basic':
entries = process_basic(year)
elif _type == 'advanced':
entries = process_advanced(year)
if entries != []:
db.insertRowDict(entries,
table,
replace=True,
insertMany=True,
rid=0)
db.conn.commit()
def export_to_csv(table_name):
col_names_qry = """SELECT `COLUMN_NAME`
FROM `INFORMATION_SCHEMA`.`COLUMNS`
WHERE `TABLE_SCHEMA`='personal'
AND `TABLE_NAME`='%s';"""
col_names_query = col_names_qry % (table_name)
col_names = db.query(col_names_query)
columns = []
for col_name in col_names:
columns.append(col_name[0])
csv_title = "/Users/connordog/Dropbox/Desktop_Files/Work_Things/connor-r.github.io/csvs/personal_%s.csv" % (table_name)
csv_file = open(csv_title, "wb")
append_csv = csv.writer(csv_file)
append_csv.writerow(columns)
qry = "SELECT * FROM %s ORDER BY 1;" % table_name
res = db.query(qry)
for row in res:
row = list(row)
for i, val in enumerate(row):
if type(val) in (str,):
row[i] = '"' + "".join([l if ord(l) < 128 else "" for l in val]).replace("<o>","").replace("<P>","").replace("\n"," ") + '"'
append_csv.writerow(row)
def process_wc(year, timestamp):
print '\tdetermining wild card winners'
teams_query = """SELECT year, team_name, team_abb, division, wild_card, total_playoff_games_played, strength_type
FROM __in_playoff_probabilities
WHERE update_time = (SELECT MAX(update_time) FROM __in_playoff_probabilities)
AND wild_card != 0;"""
res = db.query(teams_query)
for row in res:
year, team_name, team_abb, division, wild_card, total_playoff_games_played, strength_type = row
lg = division[:2]
oppn_qry = """SELECT team_name, team_abb, division, wild_card, total_playoff_games_played, strength_type
FROM __in_playoff_probabilities
WHERE update_time = (SELECT MAX(update_time) FROM __in_playoff_probabilities)
AND wild_card != 0
AND year = %s
AND total_playoff_games_played = %s
AND left(division,2) = '%s'
AND strength_type = '%s'
AND team_name != '%s';"""
oppn_query = oppn_qry % (year, total_playoff_games_played, lg,
strength_type, team_name)
oppns = db.query(oppn_query)
win_wc = []
for oppn in oppns:
oppn_name, oppn_abb, oppn_division, oppn_wild_card, foo, foo = oppn
matchup_prob = 1
series_id = '%sWC' % (lg)
series_wins, series_losses = get_series_data(
series_id, team_name, oppn_name, strength_type)
team_winProb = get_single_game_win_prob(team_abb, oppn_abb,
strength_type, year)
series_games = 1
series_prob = get_series_prob(series_games, series_wins,
series_losses, team_winProb)
win_wc.append(matchup_prob * series_prob)
win_wc = sum(win_wc)
db.updateRow(
{'win_wc': win_wc},
"__in_playoff_probabilities",
("team_name", "year", "total_playoff_games_played",
"strength_type"),
(team_name, year, total_playoff_games_played, strength_type),
operators=['=', '=', '=', '='])
db.conn.commit()
def process(year):
start_time = time()
# Each time we run this, we clear the pre-existing table
db.query("TRUNCATE TABLE `__optimal_lineups`")
i = 0
team_q = """SELECT DISTINCT team_abb
FROM teams
-- FROM excel_rosters
WHERE year = %s
ORDER BY team_abb ASC
"""
team_qry = team_q % (year)
teams = db.query(team_qry)
for team in teams:
team_abb = team[0]
i += 1
print i, team_abb
get_player_matrix(team_abb, year)
end_time = time()
elapsed_time = float(end_time - start_time)
print "lineup_optimizer.py"
print "time elapsed (in seconds): " + str(elapsed_time)
print "time elapsed (in minutes): " + str(elapsed_time/60.0)
def process_win_wc(year):
print "win wild card"
for _type in ('roster', 'projected'):
# print '\t', _type
for conf in ('AL', 'NL'):
team_query = "SELECT team_abb, team_name, win_division, wc_1, wc_2, year, games_played FROM __playoff_probabilities JOIN (SELECT team_abb, MAX(year) AS year, MAX(games_played) AS games_played FROM __playoff_probabilities GROUP BY team_abb, year) t2 USING (team_abb, year, games_played) WHERE strength_type = '%s' AND LEFT(division,2) = '%s' AND year = %s" % (
_type, conf, year)
team_res = db.query(team_query)
adv_dict = {}
for team_row in team_res:
team_abb, team_name, div_prob, wc1_prob, wc2_prob, year, games_played = team_row
# print '\t\t', team_name
oppn_qry = """SELECT team_abb, team_name, wc_1, wc_2
FROM __playoff_probabilities
JOIN (SELECT team_abb, MAX(year) AS year, MAX(games_played) AS games_played FROM __playoff_probabilities GROUP BY team_abb, year) t2 USING (team_abb, year, games_played)
WHERE strength_type = '%s'
AND LEFT(division,2) = '%s'
AND team_name != '%s'
AND year = %s;"""
oppn_query = oppn_qry % (_type, conf, team_name, year)
oppn_res = db.query(oppn_query)
wc_prob = 0.0
for oppn_row in oppn_res:
oppn_abb, oppn_name, oppn_wc1, oppn_wc2 = oppn_row
# probability of wc1 * (oppn_wc2 | not wc2)
if (1.0 - float(wc2_prob)) == 0:
matchup1_prob = 0.0
else:
matchup1_prob = float(
wc1_prob * oppn_wc2) / (1.0 - float(wc2_prob))
# probability of wc2 * (oppn_wc1 | not wc1)
if (1.0 - float(wc1_prob)) == 0:
matchup2_prob = 0.0
else:
matchup2_prob = float(
wc2_prob * oppn_wc1) / (1.0 - float(wc1_prob))
matchup_prob = matchup1_prob + matchup2_prob
win_game_prob = get_single_game_win_prob(
team_abb, oppn_abb, _type, year)
wc_overall_prob = matchup_prob * win_game_prob
wc_prob += wc_overall_prob
overall_prob = wc_prob
adv_dict[team_name] = [
overall_prob, 1.0, False, year, games_played
]
col_name = 'win_wc'
adjust_probabilities(adv_dict, col_name, 1.0, _type)
def initiate(end_year, scrape_length):
if scrape_length == "All":
current = False
for year in range(2011, end_year):
for team_id in range(1,31):
url_base = "http://thensbl.com/%s/" % year
url_ext = "tmindex%s.htm" % team_id
url_index = url_base + url_ext
html_ind = urllib2.urlopen(url_index)
soup_ind = BeautifulSoup(html_ind,"lxml")
team_name = (' '.join(soup_ind.find_all('h2')[1].get_text().split(" ")[1:]).split("\n")
)[0].split("\r")[0]
print url_index, team_name
initiate_names(team_name, team_id, year, current, url_base)
else:
year = end_year
current = True
#Each week we truncate the current_rosters and re-fill. That's how we keep it current!
db.query("TRUNCATE TABLE `current_rosters`")
for team_id in range(1,31):
url_base = "http://thensbl.com/"
url_ext = "tmindex%s.htm" % team_id
url_index = url_base + url_ext
print url_index
html_ind = urllib2.urlopen(url_index)
soup_ind = BeautifulSoup(html_ind,"lxml")
team_name = soup_ind.title.get_text()
initiate_names(team_name, team_id, year, current, url_base)
def export_masterCSV(table_name):
print "\t exporting " + table_name + " to .csv"
col_names_qry = """SELECT `COLUMN_NAME`
FROM `INFORMATION_SCHEMA`.`COLUMNS`
WHERE `TABLE_SCHEMA`='mlb_prospects'
AND `TABLE_NAME`='%s';"""
col_names_query = col_names_qry % (table_name)
col_names = db.query(col_names_query)
columns = []
for col_name in col_names:
columns.append(col_name[0])
csv_title = "/Users/connordog/Dropbox/Desktop_Files/Work_Things/connor-r.github.io/csvs/MLB_Prospects_%s.csv" % (table_name.replace("_",""))
csv_file = open(csv_title, "wb")
append_csv = csv.writer(csv_file)
append_csv.writerow(columns)
qry = "SELECT * FROM %s;" % table_name
res = db.query(qry)
for row in res:
row = list(row)
for i, val in enumerate(row):
if type(val) in (str,):
row[i] = '"' + "".join([l if ord(l) < 128 else "" for l in val]).replace("<o>","").replace("<P>","") + '"'
append_csv.writerow(row)
def team_war(team_abb, year):
entry = {}
entry['year'] = year
entry['team_abb'] = team_abb
hitter_q = """SELECT
SUM(defense),
SUM(position_adj),
SUM(dWAR),
SUM(oWAR),
SUM(replacement),
SUM(WAR)
FROM processed_WAR_hitters
WHERE year = %s
AND team_abb = '%s';
"""
hitter_qry = hitter_q % (year, team_abb)
hitter_data = db.query(hitter_qry)[0]
defense, position_adj, dWAR, oWAR, replacement, hitter_WAR = hitter_data
entry['defense'] = defense
entry['position_adj'] = position_adj
entry['dWAR'] = dWAR
entry['oWAR'] = oWAR
entry['replacement'] = replacement
entry['hitter_WAR'] = hitter_WAR
pitcher_q = """SELECT
SUM(FIP_WAR),
SUM(ERA_WAR)
FROM processed_WAR_pitchers
WHERE year = %s
AND team_abb = '%s';
"""
pitcher_qry = pitcher_q % (year, team_abb)
pitcher_data = db.query(pitcher_qry)[0]
FIP_WAR, ERA_WAR = pitcher_data
entry['FIP_WAR'] = FIP_WAR
entry['ERA_WAR'] = ERA_WAR
total_fWAR = hitter_WAR + FIP_WAR
total_rWAR = hitter_WAR + ERA_WAR
entry['total_fWAR'] = total_fWAR
entry['total_rWAR'] = total_rWAR
return entry
def acquire_shootingData(dataType, _id, season='', isCareer=True):
if isCareer is False:
start_season_filt, end_season_filt = db.query("SELECT min(game_date), max(game_date) FROM shots WHERE season_id = %s" % (season.replace('-','')))[0]
# start_season_filt = str(season[:4])+'-08-01'
# end_season_filt = str(int(season[:4])+1)+'-08-01'
query_append = """AND season_id = %s
AND game_date > '%s'
AND game_date < '%s'""" % (season.replace('-',''), start_season_filt, end_season_filt)
else:
query_append = ''
shot_query = """SELECT
season_id, game_id,
team_id, game_date,
event_type, shot_type,
shot_zone_basic, shot_zone_area, LOC_X, LOC_Y,
IF(event_type='Made Shot', 1, 0) AS SHOT_MADE_FLAG,
zone_pct_plus,
efg_plus
FROM shots
JOIN shots_%s_Relative_Year USING (season_id, season_type, %s_id, shot_zone_basic, shot_zone_area)
WHERE %s_id = %s
AND season_type = 'Reg'
%s"""
shot_q = shot_query % (dataType, dataType, dataType, _id, query_append)
shots = db.query(shot_q)
shot_data = {'season_id':[], 'game_id':[], 'team_id':[], 'game_date':[], 'event_type':[], 'shot_type':[], 'shot_zone_basic':[], 'shot_zone_area':[], 'LOC_X':[], 'LOC_Y':[], 'SHOT_MADE_FLAG':[], 'zone_pct_plus':[], 'efg_plus':[]}
for row in shots:
season_id, game_id, team_id, game_date, event_type, shot_type, shot_zone_basic, shot_zone_area, LOC_X, LOC_Y, SHOT_MADE_FLAG, zone_pct_plus, efg_plus = row
shot_data['season_id'].append(season_id)
shot_data['game_id'].append(game_id)
shot_data['team_id'].append(team_id)
shot_data['game_date'].append(game_date)
shot_data['event_type'].append(event_type)
shot_data['shot_type'].append(shot_type)
shot_data['shot_zone_basic'].append(shot_zone_basic)
shot_data['shot_zone_area'].append(shot_zone_area)
shot_data['LOC_X'].append(LOC_X)
shot_data['LOC_Y'].append(LOC_Y)
shot_data['SHOT_MADE_FLAG'].append(SHOT_MADE_FLAG)
shot_data['zone_pct_plus'].append(zone_pct_plus)
shot_data['efg_plus'].append(efg_plus)
shot_df = pd.DataFrame(shot_data, columns=shot_data.keys())
return shot_df
def get_random_pic(players, hashtags, thread):
if players == []:
p_name, p_id = get_rand_player()
print p_name
chart_player = p_name.replace(' ', '_')
player_path = base_path + chart_player + '(' + str(p_id) + ')/'
charts.gen_charts(p_id)
try:
rand_chart = os.listdir(player_path)[random.randint(
0,
len(os.listdir(player_path)) - 1)]
tweet(player_path, rand_chart, hashtags, p_id, thread)
except OSError:
get_random_pic([], hashtags, thread)
else:
for player in players:
print player
try:
p_id = db.query(
"SELECT player_id FROM players WHERE CONCAT(fname, ' ', lname) = '%s'"
% player.replace("'", "\\'"))[0][0]
except (OSError, IndexError):
if player == 'Mike James':
p_id = 1628455
elif player == 'J.J. Redick':
p_id = 200755
elif player == 'C.J. McCollum':
p_id = 203468
charts.gen_charts(p_id)
# raw_input("READY TO TWEET?")
for player in players:
try:
p_id = db.query(
"SELECT player_id FROM players WHERE CONCAT(fname, ' ', lname) = '%s'"
% player.replace("'", "\\'"))[0][0]
except (OSError, IndexError):
if player == 'Mike James':
p_id = 1628455
elif player == 'J.J. Redick':
p_id = 200755
elif player == 'C.J. McCollum':
p_id = 203468
player_path = base_path + player.replace(
' ', '_') + '(' + str(p_id) + ')/'
# tweets a range of seasons (-1 is career, -2 is current season, -3 is 2 seasons previous, etc.)
for i in range(max(0,
len(os.listdir(player_path)) - 1),
len(os.listdir(player_path)) - 0):
chart = os.listdir(player_path)[i]
# print chart
tweet(player_path, chart, hashtags, p_id, thread)
def process_champion(year):
print "win world series"
for _type in ('roster', 'projected'):
# print '\t', _type
champ_dict = {}
for conf in ('AL', 'NL'):
team_query = "SELECT team_abb, team_name, make_ws, year, games_played FROM __playoff_probabilities JOIN (SELECT team_abb, MAX(year) AS year, MAX(games_played) AS games_played FROM __playoff_probabilities GROUP BY team_abb, year) t2 USING (team_abb, year, games_played) WHERE strength_type = '%s' AND LEFT(division,2) = '%s' AND year = %s" % (
_type, conf, year)
team_res = db.query(team_query)
for team_row in team_res:
team_abb, team_name, make_ws, year, games_played = team_row
# print '\t\t', team_name
oppn_qry = """SELECT team_abb, team_name, make_ws
FROM __playoff_probabilities
JOIN (SELECT team_abb, MAX(YEAR) AS 'year', MAX(games_played) AS games_played FROM __playoff_probabilities GROUP BY team_abb, year) a USING (team_abb, YEAR, games_played)
WHERE strength_type = '%s'
AND LEFT(division,2) != '%s'
AND year = %s;"""
oppn_query = oppn_qry % (_type, conf, year)
# raw_input(oppn_query)
oppn_res = db.query(oppn_query)
champ_prob = 0.0
for oppn_row in oppn_res:
oppn_abb, oppn_name, oppn_ws = oppn_row
matchup_prob = float(make_ws) * float(oppn_ws)
win_game_prob = get_single_game_win_prob(
team_abb, oppn_abb, _type, year)
series_games = 7
win_series = get_series_prob(series_games=series_games,
series_wins=0,
series_losses=0,
team_winProb=win_game_prob)
champ_overall_prob = matchup_prob * win_series
champ_prob += champ_overall_prob
overall_prob = champ_prob
champ_dict[team_name] = [
overall_prob, 1.0, False, year, games_played
]
col_name = 'win_ws'
adjust_probabilities(champ_dict, col_name, 1.0, _type)
def process(group_type, time_type):
query = """SELECT %s_id, season_id, season_type, attempts, ROUND(sum_efg_plus/attempts,4) AS ShotSkillPlus
FROM(
SELECT %s_id, season_id, season_type, SUM(attempts*zone_efg_plus) AS sum_efg_plus
FROM shots_%s_Relative_%s r
WHERE shot_zone_area != 'all'
AND shot_zone_basic != 'all'
GROUP BY %s_id, season_id, season_type
) a
JOIN(
SELECT %s_id, season_id, season_type, attempts
FROM shots_%s_Relative_%s r
WHERE shot_zone_area = 'all'
AND shot_zone_basic = 'all'
GROUP BY %s_id, season_id, season_type
) b USING (%s_id, season_id, season_type);
"""
q = query % (group_type, group_type, group_type, time_type, group_type,
group_type, group_type, time_type, group_type, group_type)
# raw_input(q)
res = db.query(q)
# raw_input(res)
entries = []
_id = '%s_id' % (group_type.lower())
for row in res:
# print row
type_id, season_id, season_type, attempts, shotskillplus = row
entry = {
_id: type_id,
"season_id": season_id,
"season_type": season_type,
"attempts": attempts,
"ShotSkillPlus": shotskillplus
}
entries.append(entry)
table = "shot_skill_plus_%s_%s" % (group_type, time_type)
if time_type == "Career":
db.query("TRUNCATE TABLE %s;" % (table))
if entries != []:
for i in range(0, len(entries), 1000):
db.insertRowDict(entries[i:i + 1000],
table,
insertMany=True,
replace=True,
rid=0,
debug=1)
db.conn.commit()
def process(year):
clear_year = "DELETE FROM zips_fangraphs_prep_FA_batters WHERE year = %s;" % (
year)
db.query(clear_year)
db.conn.commit()
batters(year)
clear_year = "DELETE FROM zips_fangraphs_prep_FA_pitchers WHERE year = %s;" % (
year)
db.query(clear_year)
db.conn.commit()
pitchers(year)
def check_car_dupes(result, current):
_id = result['cl_id']
_name = result['title']
_price = result['list_price']
check_ID = db.query("SELECT cl_id FROM cars_%s WHERE cl_id = %s" %
(current, _id))
if check_ID != ():
return True
check_namePrice = db.query(
"SELECT cl_id FROM cars_%s WHERE title = '%s' AND list_price = %s"
% (current, _name, _price))
if check_namePrice != ():
return True
return False
def export_tables(year):
for table_name in ("_draft_list", "_master_current", "_master_prospects"):
print "\t exporting " + table_name + " to .xlsx"
qry = "SELECT * FROM %s;" % table_name
res = db.query(qry)
file_name = "/Users/connordog/Dropbox/Desktop_Files/Baseball/NSBL/%s_%s.xlsx" % (table_name, year)
workbook = Workbook(file_name)
sheet = workbook.add_worksheet()
col_names_qry = """SELECT `COLUMN_NAME`
FROM `INFORMATION_SCHEMA`.`COLUMNS`
WHERE `TABLE_SCHEMA`='mlb_prospects'
AND `TABLE_NAME`='%s';"""
col_names_query = col_names_qry % (table_name)
col_names = db.query(col_names_query)
for col_num, col_name in enumerate(col_names):
cell_format = workbook.add_format()
cell_format.set_bold()
sheet.write(0, col_num, col_name[0], cell_format)
for i, row in enumerate(res):
cell_format = workbook.add_format()
cell_format.set_shrink()
for j, col in enumerate(row):
if type(col) in (str,):
col = "".join([l if ord(l) < 128 else "" for l in col])
sheet.write(i+1, j, col, cell_format)
if table_name == "_draft_list":
sheet.freeze_panes(1,8)
sheet.autofilter('A1:EN1')
elif table_name == "_master_current":
sheet.freeze_panes(1,16)
sheet.autofilter('A1:EG1')
elif table_name == "_master_prospects":
sheet.freeze_panes(1,12)
sheet.autofilter('A1:DY1')
workbook.set_size(1800,1200)
workbook.close()
def update_prospect(year, team, fname, lname, category, value):
print "\tupdate ", year, team, '\t', "{:<32}".format(
fname + " " + lname), '\t', "{:<16}".format(category), '\t', value
update_qry = """UPDATE minorleagueball_professional
SET %s = '%s'
WHERE year = %s
AND team = "%s"
AND fname = "%s"
AND lname = "%s";"""
update_query = update_qry % (category, value, year, team, fname, lname)
# raw_input(update_query)
db.query(update_query)
db.conn.commit()
def initiate():
start_time = time()
clear_ids = "UPDATE minorleagueball_professional SET prospect_id = 0;"
db.query(clear_ids)
db.conn.commit()
process_primary_update()
process_secondary_update()
end_time = time()
elapsed_time = float(end_time - start_time)
print "\n\nminorleagueball_prospect_id_grade_updater.py"
print "time elapsed (in seconds): " + str(elapsed_time)
print "time elapsed (in minutes): " + str(elapsed_time / 60.0)
def export_tv_show_csv():
qry = """SELECT
name, genre, seasons, episodes,
episode_length, episodes_per_season, approx_runtime_hours,
peak, consistency, premise, plot, information_gain, desired_effects, wit, length, timelessness, adjustment, overall_grade
FROM (SELECT name FROM tv_show_grades UNION SELECT name FROM tv_show_data) a
LEFT JOIN tv_show_grades USING (name)
LEFT JOIN tv_show_data USING (name)
ORDER BY overall_grade DESC;"""
res = db.query(qry)
csv_title = "/Users/connordog/Dropbox/Desktop_Files/Work_Things/connor-r.github.io/csvs/personal_tvShows.csv"
csv_file = open(csv_title, "wb")
append_csv = csv.writer(csv_file)
headers = [
'name', 'genre', 'seasons', 'episodes', 'episode_length',
'episodes_per_season', 'approx_runtime_hours', 'peak', 'consistency',
'premise', 'plot', 'information_gain', 'desired_effects', 'wit',
'length', 'timelessness', 'adjustment', 'overall_grade'
]
append_csv.writerow(headers)
for row in res:
row = list(row)
for i, val in enumerate(row):
if type(val) in (str, ):
row[i] = '"' + "".join(
[l if ord(l) < 128 else "" for l in val]).replace(
"<o>", "").replace("<P>", "").replace("\n", " ") + '"'
append_csv.writerow(row)
def process(author, topic, medium, keyword):
if (author == '' and topic == '' and medium == '' and keyword == ''):
sys.exit('\n\nplease specify an author, topic, medium, or keyword\n\n')
quote_lookup = """SELECT
estimated_date, author, topic, medium, source, source_location, quote
FROM quotes
WHERE 1
AND (author LIKE "%%%s%%" AND topic LIKE "%%%s%%" AND medium LIKE "%%%s%%" AND quote LIKE "%%%s%%")
;""" % (author, topic, medium, keyword)
res = db.query(quote_lookup)
for i, row in enumerate(res):
_date, _author, _topic, _medium, _source, _sourceLocation, _quote = row
print "\n-----------------------------\n"
print "\t" + "Quote #" + str(i+1) + " of " + str(len(res)) + ":"
print "\tTopic: " + str(_topic)
src = ""
if _source is None:
src = _medium
else:
src = _source
print "\t" + "On " + str(_date) + ", " + _author + " says via " + src + ":\n\"\"\""
print _quote
print "\"\"\"\n"
def comment_updater(boulder_name, area, sub_area, update_comment):
qry = """SELECT *
FROM boulders_tried
WHERE boulder_name = "%s"
AND area = "%s"
AND sub_area = "%s"
AND completed = "TRUE";"""
query = qry % (boulder_name, area, sub_area)
res = db.query(query)
if len(res) != 1:
print "\n\n\nERROR", boulder_name, "HAS LENGTH", str(len(res))
else:
entry = {}
_date, est_time, boulder_name, area, sub_area, v_grade, est_attempts, est_minutes, return_interest, session_num, completed, first_comment = res[0]
entry["est_date"] = _date
entry["est_time"] = est_time
entry["boulder_name"] = boulder_name
entry["area"] = area
entry["sub_area"] = sub_area
entry["v_grade"] = v_grade
entry["est_attempts"] = est_attempts
entry["est_minutes"] = est_minutes
entry["return_interest"] = return_interest
entry["session_num"] = session_num
entry["completed"] = "TRUE"
entry["comment"] = update_comment
db.insertRowDict(entry, 'boulders_tried', insertMany=False, replace=True, rid=0, debug=1)
db.conn.commit()
def process_returnInterest():
csv_path = "/Users/connordog/Dropbox/Desktop_Files/Work_Things/connor-r.github.io/csvs/boulders_returnInterest.csv"
csv_file = open(csv_path, "wb")
append_csv = csv.writer(csv_file)
csv_header = ["Estimated Date", "Estimated Time", "Boulder Name", "Area", "Sub Area", "V Grade", "Estimated Attempts", "Estimated Minutes", "Return Interest", "Comment"]
append_csv.writerow(csv_header)
qry = """SELECT
bt.est_date, bt.est_time,
bt.boulder_name, bt.area, bt.sub_area,
bt.v_grade, bt.est_attempts, bt.est_minutes, bt.return_interest, bt.comment
FROM boulders_tried bt
LEFT JOIN boulders_completed bc USING (boulder_name, area)
JOIN (SELECT boulder_name, area, max(est_date) AS est_date FROM boulders_tried GROUP BY boulder_name, area) md USING (boulder_name, area, est_date)
WHERE bc.ascent_date IS NULL
ORDER BY est_date DESC, est_time DESC;"""
res = db.query(qry)
for row in res:
row = list(row)
for i, val in enumerate(row):
if type(val) in (str,unicode):
row[i] = '"' + "".join([l if ord(l) < 128 else "" for l in val]).replace("<o>","").replace("<P>","").replace("\n"," ") + '"'
append_csv.writerow(row)
def generate_body(author, topic, medium, keyword, count, to_address):
sub = 'Daily Quotes [%s]' % (str(date.today()))
quote_lookup = """SELECT
QuoteID, estimated_date, author, topic, medium, source, source_location, quote
FROM quotes
WHERE 1
AND (author LIKE "%%%s%%" AND topic LIKE "%%%s%%" AND medium LIKE "%%%s%%" AND quote LIKE "%%%s%%")
ORDER BY rand()
LIMIT %s
;""" % (author, topic, medium, keyword, count)
res = db.query(quote_lookup)
mesg = ''
for i, row in enumerate(res):
_id, _date, _author, _topic, _medium, _source, _sourceLocation, _quote = row
mesg += "\n\t" + "Quote #" + str(i+1) + " (QuoteID " + str(_id) + ") of " + str(len(res)) + ":"
mesg += "\n\tTopic: " + str(_topic)
src = ""
if _source is None:
src = _medium
else:
src = _source
mesg += "\n\t" + "On " + str(_date) + ", " + _author + " says via " + src + ":\n\"\"\""
mesg += "\n" + _quote
mesg += "\n\"\"\"\n"
mesg += "\n------------------------------------------------------------------------------------\n"
email(sub, mesg, to_address)
def query_listings(search_type, mesg, ids):
qry = """SELECT cl_id, title, url, sub_site, has_image, has_map, list_price FROM cars_current
WHERE 1
AND cl_id NOT IN (SELECT cl_id FROM _email_ids)
AND mackenzie_search = '%s'
ORDER BY has_image+has_map DESC, list_price ASC"""
query = qry % (search_type)
# raw_input(query)
res = db.query(query)
j = 0
for row in res:
cl_id, title, url, sub_site, has_image, has_map, list_price = row
ids.append(cl_id)
mesg += str(j + 1) + '. ' + title
# mesg += '\n' + str(cl_id) + ' : ' + str(bool(has_image)) + ' image : ' + str(bool(has_map)) + ' map'
mesg += '\n$' + str(list_price) + ' : ' + str(sub_site) + '\n'
mesg += '\t' + url + '\n\n'
j += 1
return mesg
def process_returnInterest():
csv_path = "/Users/connordog/Dropbox/Desktop_Files/Work_Things/connor-r.github.io/csvs/boulders_returnInterest.csv"
csv_file = open(csv_path, "wb")
append_csv = csv.writer(csv_file)
csv_header = [
"Estimated Date", "Estimated Time", "Boulder Name", "Area", "Sub Area",
"V Grade", "Estimated Attempts", "Estimated Minutes",
"Return Interest", "Comment"
]
append_csv.writerow(csv_header)
qry = """SELECT
bt.est_date, bt.est_time,
bt.boulder_name, bt.area, bt.sub_area,
bt.v_grade, bt.est_attempts, bt.est_minutes, bt.return_interest, bt.comment
FROM boulders_tried bt
LEFT JOIN boulders_completed bc USING (boulder_name, area)
JOIN (SELECT boulder_name, area, max(est_date) AS est_date FROM boulders_tried GROUP BY boulder_name, area) md USING (boulder_name, area, est_date)
WHERE bc.ascent_date IS NULL
ORDER BY est_date DESC, est_time DESC;"""
res = db.query(qry)
for row in res:
row = list(row)
for i, val in enumerate(row):
if type(val) in (str, unicode):
row[i] = '"' + "".join(
[l if ord(l) < 128 else "" for l in val]).replace(
"<o>", "").replace("<P>", "").replace("\n", " ") + '"'
append_csv.writerow(row)
def adjust_fg_names(full_name):
"""
Splits a players full name into first and last names and returns those values.
Also will adjust a player's name if their name has been listed non ideally so we can better match them to the professional_prospects table.
"""
player_mapper = {}
qry = """SELECT wrong_name
, right_fname
, right_lname
FROM NSBL.name_mapper nm
;"""
res = db.query(qry)
for row in res:
wrong, right_fname, right_lname = row
player_mapper[wrong] = [right_fname, right_lname]
if full_name in player_mapper:
fname, lname = player_mapper.get(full_name)
full_name = fname + " " + lname
return full_name, fname, lname
else:
fname, lname = [
full_name.split(" ")[0], " ".join(full_name.split(" ")[1:])
]
return full_name, fname, lname
def get_yesterdaysPlayers(days=1):
player_list = {}
qry = """SELECT
player_id,
CONCAT(fname, ' ', lname) as 'player_name',
LEFT(MIN(season_id),4) as 'start_year',
LEFT(MAX(season_id),4)+1 as 'end_year',
COUNT(*) as shot_attempts
FROM (SELECT player_id, season_id FROM shots WHERE season_type = 'Reg' AND game_date >= (CURDATE() - INTERVAL %s DAY)) yesterdays_players
JOIN players USING (player_id)
GROUP BY player_id
ORDER BY shot_attempts DESC;"""
query = qry % (days)
# raw_input(query)
res = db.query(query)
if res == ((None, None, None, None, None),):
return None
for row in res:
p_id, p_name, start_year, end_year, shot_attempts = row
player_list[p_id] = [str(p_name), int(start_year), int(end_year)]
return player_list
def get_plist(backfill=False):
p_list = {}
query = """SELECT team_id, city, tname, start_year, end_year, end_year-GREATEST(1996,start_year) AS seasons_cnt
FROM teams
WHERE end_year >= 1997
ORDER BY team_id ASC, end_year DESC"""
res = db.query(query)
for row in res:
team_id, city, team_name, start_year, end_year, seasons_cnt = row
team_search_name = city.replace(" ", "_") + "_" + team_name.replace(
" ", "_")
if backfill is True:
if os.path.exists(os.getcwd() + '/shot_charts_team/' +
team_search_name + '(' + str(team_id) + ')'):
continue
# a filter for which teams to update
p_list[city.replace(' ', '_') + '_' + team_name.replace(' ', '_') +
'(' + str(team_id) +
')'] = [team_id, city, team_name, start_year, end_year]
return p_list
def process(zips_list, observed_list, hb):
if hb == 'hitters':
q = """SELECT YEAR, player_name,
n.babip AS sim_babip, z.babip AS zips_babip
FROM processed_compWAR_offensive n
JOIN zips_WAR_hitters_comp z USING (YEAR, player_name)
WHERE YEAR >= 2011
AND YEAR < 2019
AND n.pa > 400;
"""
else:
q = """SELECT YEAR, player_name,
n.babip AS sim_babip, z.babip AS zips_babip
FROM register_pitching_analytical n
JOIN zips_WAR_pitchers_comp z USING (YEAR, player_name)
WHERE YEAR >= 2011
AND YEAR < 2019
AND bip > 300;
"""
qry = q
res = db.query(qry)
for row in res:
year, player_name, sim, zips = row
zips_list.append(float(zips))
observed_list.append(float(sim))
def export_to_csv():
qry = """SELECT
show_name, genre, seasons, episodes,
episode_length, episodes_per_season, approx_runtime_hours,
peak_grade, consistency_grade, adjustment, overall_grade
FROM (SELECT SHOW_name FROM tv_show_grades UNION SELECT show_name FROM tv_show_data) a
LEFT JOIN tv_show_grades USING (show_name)
LEFT JOIN tv_show_data USING (show_name)
ORDER BY overall_grade DESC;"""
res = db.query(qry)
csv_title = "/Users/connordog/Dropbox/Desktop_Files/Work_Things/connor-r.github.io/csvs/personal_tvShows.csv"
csv_file = open(csv_title, "wb")
append_csv = csv.writer(csv_file)
headers = ['show_name', 'genre', 'estimated_seasons', 'estimated_episodes', 'episode_length', 'episodes_per_season', 'approx_runtime_hours', 'peak_grade', 'consistency_grade', 'adjustment', 'overall_grade']
append_csv.writerow(headers)
for row in res:
row = list(row)
for i, val in enumerate(row):
if type(val) in (str,):
row[i] = '"' + "".join([l if ord(l) < 128 else "" for l in val]).replace("<o>","").replace("<P>","").replace("\n"," ") + '"'
append_csv.writerow(row)
def check_for_updates(): ##### change me
print "\n\tchecking for boulders to update"
update_qry = """SELECT
euro_grade, soft_hard, flash, boulder_name, area, sub_area, fa, est_attempts, comment, stars, ascent_date, recommended
FROM boulders_completed
WHERE updated = "FALSE";"""
update_res = db.query(update_qry)
if update_res == ():
print "\t\tNo boulders to update!"
else:
for i, row in enumerate(update_res):
print "\n\nUpdate %s of %s" % (i+1, len(update_res))
keys = ["grade", "soft_hard", "style", "name", "area", "sub area", "FA", "2ndGo", "comment", "stars", "date", "recommended"]
_grade2, soft_hard, _flash, _name, _area, _subarea, _fa, attempts, _comment, _stars, _date, _recommended = row
if _flash is None:
_flash = "Redpoint"
if attempts == 2:
go2 = "Second GO"
else:
go2 = "None"
vals = [_grade2, soft_hard, _flash, _name, _area, _subarea, go2, _fa, _comment, _stars, _date, _recommended]
for k, v in zip(keys, vals):
print ("\t"+k+":"), "\n", v
# if (((i+1)%3 == 0) or ((i+1) == len(update_res))):
raw_input("\n\nGo to 8a.nu to update!\n\n")
def update_boulders():
qry = """SELECT
ascent_date, boulder_name, area, sub_area, v_grade, bc.comment,
TIMEDIFF(bc.final_time, SEC_TO_TIME(fin.final_min*60)) AS 'final_time',
fin.final_min,
fin.final_att,
bc.est_sessions,
(bc.est_attempts - IFNULL(bt.est_attempts,0)) AS 'update_attempts',
(bc.est_minutes - IFNULL(bt.est_minutes,0)) AS 'update_minutes',
(bc.est_sessions - IFNULL(bt.est_sessions,0)) AS 'update_sessions',
(1 - IFNULL(bt.sent,0)) AS 'update_completed'
FROM boulders_completed bc
LEFT JOIN(
SELECT
boulder_name, area, sub_area, SUM(est_attempts) AS est_attempts, SUM(est_minutes) AS est_minutes, COUNT(*) AS est_sessions,
SUM(IF(completed="TRUE",1,0)) AS sent
FROM boulders_tried
GROUP BY boulder_name, area, sub_area
) bt USING (boulder_name, area, sub_area)
LEFT JOIN(
SELECT boulder_name, area, sub_area,
bc2.est_minutes-IFNULL(bt2.fail_minutes,0) AS 'final_min',
bc2.est_attempts-IFNULL(bt2.fail_attempts,0) AS 'final_att'
FROM boulders_completed bc2
LEFT JOIN (
SELECT boulder_name, area, sub_area, SUM(est_attempts) AS fail_attempts, SUM(est_minutes) AS fail_minutes FROM boulders_tried WHERE completed = 'FALSE' GROUP BY boulder_name, area, sub_area
) bt2 USING (boulder_name, area, sub_area)
) fin USING (boulder_name, area, sub_area)
WHERE bc.updated = "FALSE"
ORDER BY ascent_date DESC, update_sessions DESC;"""
res = db.query(qry)
for row in res:
process_update(row)
def update_boulders():
qry = """SELECT
ascent_date, boulder_name, area, sub_area, v_grade, bc.comment,
TIMEDIFF(bc.final_time, SEC_TO_TIME(fin.final_min*60)) AS 'final_time',
fin.final_min,
fin.final_att,
bc.est_sessions,
(bc.est_attempts - IFNULL(bt.est_attempts,0)) AS 'update_attempts',
(bc.est_minutes - IFNULL(bt.est_minutes,0)) AS 'update_minutes',
(bc.est_sessions - IFNULL(bt.est_sessions,0)) AS 'update_sessions',
(1 - IFNULL(bt.sent,0)) AS 'update_completed'
FROM boulders_completed bc
LEFT JOIN(
SELECT
boulder_name, area, sub_area, SUM(est_attempts) AS est_attempts, SUM(est_minutes) AS est_minutes, COUNT(*) AS est_sessions,
SUM(IF(completed="TRUE",1,0)) AS sent
FROM boulders_tried
GROUP BY boulder_name, area, sub_area
) bt USING (boulder_name, area, sub_area)
LEFT JOIN(
SELECT boulder_name, area, sub_area,
bc2.est_minutes-IFNULL(bt2.fail_minutes,0) AS 'final_min',
bc2.est_attempts-IFNULL(bt2.fail_attempts,0) AS 'final_att'
FROM boulders_completed bc2
LEFT JOIN (
SELECT boulder_name, area, sub_area, SUM(est_attempts) AS fail_attempts, SUM(est_minutes) AS fail_minutes FROM boulders_tried WHERE completed = 'FALSE' GROUP BY boulder_name, area, sub_area
) bt2 USING (boulder_name, area, sub_area)
) fin USING (boulder_name, area, sub_area)
WHERE bc.updated != "FALSE"
ORDER BY ascent_date DESC, update_sessions DESC;"""
res = db.query(qry)
for row in res:
process_update(row)
def process_defense(year):
entries = []
qry = """SELECT
r.team_abb, SUM(defense), SUM(position_adj), SUM(dWAR)
FROM register_batting_primary r
JOIN processed_compWAR_offensive o USING (player_name, team_abb, YEAR)
JOIN processed_WAR_hitters w USING (player_name, team_abb, YEAR)
WHERE r.year = %s
GROUP BY r.team_abb;"""
query = qry % (year)
res = db.query(query)
for row in res:
team_abb, defense, pos_adj, dWAR = row
entry = {}
entry["year"] = year
entry["team_abb"] = team_abb
entry["defense"] = defense
entry["position_adj"] = pos_adj
entry["dWAR"] = dWAR
entries.append(entry)
return entries
def adjust_minorleagueball_name(full_name, year, team_abb):
"""
Splits a players minorleagueball full name into first and last names and returns those values.
Also will adjust a player's name if their name has been listed non ideally so we can better match them to the professional_prospects table.
"""
search_str = full_name.replace(" ",
"") + "_" + str(year) + "_" + str(team_abb)
player_mapper = {}
qry = """SELECT wrong_name
, right_fname
, right_lname
FROM NSBL.name_mapper nm
;"""
res = db.query(qry)
for row in res:
wrong, right_fname, right_lname = row
player_mapper[wrong] = [right_fname, right_lname]
if search_str in player_mapper:
fname, lname = player_mapper.get(search_str)
full_name = fname + " " + lname
return full_name, fname, lname
else:
fname, lname = [
full_name.replace(" ", " ").split(" ")[0],
" ".join(full_name.split(" ")[1:])
]
return full_name, fname, lname
def initiate():
start_time = time()
print "\ndeleting backfilled tried boulders"
db.query("DELETE FROM boulders_tried WHERE return_interest IS NULL AND completed = 'FALSE';")
db.conn.commit()
print "\nupdating tried boulders"
update_boulders()
print "\nupdating session numbers on tried boulders"
update_sessions()
end_time = time()
elapsed_time = float(end_time - start_time)
print "\n\ncompleted_to_tried.py"
print "time elapsed (in seconds): " + str(elapsed_time)
print "time elapsed (in minutes): " + str(elapsed_time/60.0)
def update_sessions():
qry = """SELECT boulder_name, area, sub_area
FROM boulders_tried
WHERE est_date > '0000-00-00'
GROUP BY boulder_name, area, sub_area;"""
res = db.query(qry)
for row in res:
boulder_name, area, sub_area = row
ind_qry = """SELECT *
FROM boulders_tried
WHERE boulder_name = "%s"
AND area = "%s"
AND sub_area = "%s"
ORDER BY est_date, est_time;"""
ind_query = ind_qry % (boulder_name, area, sub_area)
ind_res = db.query(ind_query)
for cnt, ind_row in enumerate(ind_res):
entry = {}
_date, est_time, boulder_name, area, sub_area, v_grade, est_attempts, est_minutes, return_interest, session_num, completed, first_comment = ind_row
entry["est_date"] = _date
entry["est_time"] = est_time
entry["boulder_name"] = boulder_name
entry["area"] = area
entry["sub_area"] = sub_area
entry["v_grade"] = v_grade
entry["est_attempts"] = est_attempts
entry["est_minutes"] = est_minutes
entry["return_interest"] = return_interest
entry["session_num"] = cnt+1
entry["completed"] = completed
entry["comment"] = first_comment
db.insertRowDict(entry, 'boulders_tried', insertMany=False, replace=True, rid=0, debug=1)
db.conn.commit()
def update_grades():
qry = "SELECT * FROM tv_show_grades;"
res = db.query(qry)
for row in res:
show_name, genre, episode_length, peak, consistency, adj, runtime, grade = row
grade = (float(peak)*3 + float(consistency)*2)/5 + max(adj,0)
entry = {"show_name":show_name, "genre":genre, "episode_length":episode_length, "peak_grade":peak, "consistency_grade":consistency, "adjustment":adj, "approx_runtime_hours":runtime, "overall_grade":grade}
db.insertRowDict(entry, 'tv_show_grades', insertMany=False, replace=True, rid=0, debug=1)
db.conn.commit()
def update_rankings():
qry = """SELECT *
FROM tv_show_data;"""
res = db.query(qry)
for row in res:
entry = {}
show_name, seasons, episodes, eps_per_season = row
row_qry = """SELECT
show_name, genre, episode_length, peak_grade, consistency_grade, adjustment, overall_grade
FROM tv_show_grades
WHERE show_name = "%s";"""
row_query = row_qry % (show_name)
try:
foo, genre, ep_len, peak, consistency, adj, grade = db.query(row_query)[0]
runtime_hrs = float(episodes*ep_len)/60.0
except (IndexError, TypeError):
update_entry = {"show_name":show_name}
db.insertRowDict(update_entry, 'tv_show_grades', insertMany=False, replace=True, rid=0, debug=1)
db.conn.commit()
ep_len, genre, peak, consistency, adj, runtime_hrs, grade = 0,0,0,0,0,0,0
entry['show_name'] = show_name
entry['genre'] = genre
entry['episode_length'] = ep_len
entry['peak_grade'] = peak
entry['consistency_grade'] = consistency
entry['adjustment'] = adj
entry['approx_runtime_hours'] = runtime_hrs
entry['overall_grade'] = grade
db.insertRowDict(entry, 'tv_show_grades', insertMany=False, replace=True, rid=0, debug=1)
db.conn.commit()
def update_podcast_grades():
qry = "SELECT * FROM podcasts;"
res = db.query(qry)
for row in res:
podcast_name, genre, peak, consistency, adj, overall = row
try:
grade = (float(peak)*3 + float(consistency)*2)/5 + max(adj,0)
except TypeError:
grade = 0
entry = {"podcast_name":podcast_name, "genre":genre, "peak_grade":peak, "consistency_grade":consistency, "adjustment":adj, "overall_grade":grade}
db.insertRowDict(entry, 'podcasts', insertMany=False, replace=True, rid=0, debug=1)
db.conn.commit()
def check_for_un_updated():
print "\n\tchecking for boulders to delete (or add)"
qry = """SELECT ascent_date, boulder_name, area, sub_area, v_grade, euro_grade, updated
FROM boulders_completed
WHERE updated = 'FALSE';"""
res = db.query(qry)
if res == ():
print "\t\tNo boulders to update!"
else:
for i, row in enumerate(res):
print "\nUpdate %s of %s" % (i+1, len(res))
keys = ["date", "name", "area", "sub area", "hueco", "euro", "updated"]
for k, v in zip(keys, row):
print ("\t"+k+":"), "\n", v
raw_input("\n\nUpdate these problems in the database!\n\n")
def process_completed():
csv_path = "/Users/connordog/Dropbox/Desktop_Files/Work_Things/connor-r.github.io/csvs/boulders_completed.csv"
csv_file = open(csv_path, "wb")
append_csv = csv.writer(csv_file)
csv_header = ["Date", "Boulder Name", "Area", "Sub Area", "V Grade", "Euro Grade", "8a.nu Points", "Flash", "Soft/Hard", "Stars (1-3)", "FA", "Recommended", "Estimated Final Time", "Estimated Attempts", "Estimated Minutes", "Estimated Session #", "Comment", "Updated"]
append_csv.writerow(csv_header)
qry = "SELECT * FROM boulders_completed ORDER BY ascent_date DESC;"
res = db.query(qry)
for row in res:
upd = row[-1]
comm = "".join(row[-2].split("}.")[1:]).replace("*Bounty Extra Soft*.","").strip()
row = row[:-2]
row = list(row)
row.append(comm)
row.append(upd)
for i, val in enumerate(row):
if type(val) in (str,unicode):
row[i] = '"' + "".join([l if ord(l) < 128 else "" for l in val]).replace("<o>","").replace("<P>","").replace("\n"," ") + '"'
append_csv.writerow(row)
def process_8a(url, table_name):
html = requests.get(url, headers=headers)
soup = BeautifulSoup(html.content, "lxml")
print "\t\tgrabbed html"
if table_name != None:
qry = "UPDATE %s SET updated = 'FALSE';" % table_name
db.query(qry)
db.conn.commit()
ascent_data = []
for comment in soup.find_all(string=lambda text:isinstance(text, Comment)):
if comment.strip() == "Ascents":
next_node = comment.next_sibling
while next_node and next_node.next_sibling:
ascent_data.append(next_node)
next_node = next_node.next_sibling
if not next_node.name and next_node.strip() == "List Options": break;
for item in ascent_data:
if str(item).strip() != "":
ascents_info = item
break
ascents = ascents_info.find_all("tr")
for i, ascent in enumerate(ascents):
row = []
ascent_cells = ascent.findAll("td")
if len(ascent_cells) == 9:
entry = {}
ascent_date = ascent_cells[0]
grade = ascent_cells[1]
flash = ascent_cells[2]
boulder_name = ascent_cells[3]
recommended = ascent_cells[4]
areas = ascent_cells[5].getText()
soft_hard_fa = ascent_cells[6].getText()
comment = ascent_cells[7]
stars = len(ascent_cells[8].getText())
for span_tag in boulder_name.find("span"):
span_tag.replace_with("")
boulder_name = boulder_name.getText().strip()
if boulder_name[0] == "*":
boulder_name = boulder_name[1:]
# print str(i-1) + " of " + str(len(ascents)-2) + ": " + boulder_name
try:
area = areas.split("/")[0].strip()
sub_area = areas.split("/")[1].strip()
except IndexError:
area = areas.strip()
sub_area = areas.strip()
for span_tag in ascent_date.find("span"):
span_tag.replace_with("")
ascent_date = ascent_date.getText().strip()
ascent_date = datetime.strptime(ascent_date, "%y-%m-%d").date()
grade_JS = grade.getText()
grade_qry = """SELECT font, hueco, 8a_points
FROM boulders_grades
WHERE 8a_javascript = "%s";"""
grade_query = grade_qry % (grade_JS)
euro_grade, v_grade, pts_base = db.query(grade_query)[0]
if flash.find("img")["src"] == "/scorecard/images/56f871c6548ae32aaa78672c1996df7f.gif":
flash = "FLASH"
elif flash.find("img")["src"] == "/scorecard/images/e37046f07ac72e84f91d7f29f8455b58.gif":
flash = "ONSIGHT"
else:
flash = None
if "Soft" in soft_hard_fa:
soft_hard = "SOFT"
elif "Hard" in soft_hard_fa:
soft_hard = "HARD"
else:
soft_hard = ""
if "FA" in soft_hard_fa:
fa = "FA"
else:
fa = None
if flash == "FLASH":
pts = pts_base+50
elif flash == "ONSIGHT":
pts = pts_base+100
else:
pts = pts_base
if fa == "FA":
pts += 20
if recommended.find("img")["src"] == "/scorecard/images/UserRecommended_1.gif":
recommended = "RECOMMENDED"
else:
recommended = None
for span_tag in comment.find("span"):
span_tag.replace_with("")
comment = comment.getText().strip().replace("\n", "")
if "Total_Duration" in comment:
duration_dict = comment.split("Total_Duration")[1].split("}")[0].replace("=","").strip()+"}"
try:
duration_dict = ast.literal_eval(duration_dict)
final_time = duration_dict.get('Final Time')
attempts = duration_dict.get('Attempts')
minutes = duration_dict.get('Minutes')
session = duration_dict.get('Sessions')
except SyntaxError:
print '\nERROR:', boulder_name, '\n', duration_dict, '\n----------------\n'
final_time = None
attempts = 0
minutes = 0
session = 0
else:
final_time = None
attempts = None
minutes = None
session = None
if "*Bounty Extra Soft*." in comment:
soft_hard = "BOUNTY EXTRA SOFT"
if attempts == 2:
pts += 2
updated = "TRUE"
entry_columns = ["ascent_date", "boulder_name", "area", "sub_area", "v_grade", "euro_grade", "8a_pts", "flash", "soft_hard", "stars", "fa", "recommended", "final_time", "est_attempts", "est_minutes", "est_sessions", "comment", "updated"]
row = [ascent_date, boulder_name, area, sub_area, v_grade, euro_grade, pts, flash, soft_hard, stars, fa, recommended, final_time, attempts, minutes, session, comment, updated]
for j, item in enumerate(row):
if type(item) in (str, unicode) and item != '':
row[j] = "".join([k if ord(k) < 128 else "" for k in item])
entry = {}
for i,j in zip(entry_columns, row):
entry[i] = j
if table_name is not None:
db.insertRowDict(entry, table_name, insertMany=False, replace=True, rid=0, debug=1)
db.conn.commit()
from py_db import db
import bs4
import time
import datetime
import csv
import os
db = db('personal')
base_path = os.getcwd()
f = open('/Users/connordog/Dropbox/__TempFiles/bookmarks.html','r')
soup = bs4.BeautifulSoup(f.read(), 'html.parser')
f.close()
db.query("Truncate bookmarks;")
db.conn.commit()
categories = [
'Climbing', 'Multi-Sport Articles', 'Multi-Sport Sites', 'Soccer',
'Bash', 'General Programming', 'Git', 'LaTeX', 'Python', 'SQL', 'Ubuntu',
'Bayesian Articles', 'Data Science Articles', 'Data Science Documentation',
'Decision Making and Psychology', 'Individual Profiles', 'Lifestyle and Self-Improvement',
]
for sport in ('MLB', 'NHL', 'NBA', 'NFL'):
for desc in ('Coaching and Player Development', 'Gameplay and Analysis', 'General Articles', 'General Sites', 'Metric Descriptions', 'Profiles', 'Sport Science'):
cat_label = sport + ' ' + desc
categories.append(cat_label)
def initiate():
entry = {}
print "\nUpdate Attempted Boulder\n"
last_qry = "SELECT boulder_name, area, sub_area, v_grade, est_attempts, est_minutes, est_date FROM boulders_tried ORDER BY est_date DESC, est_time DESC LIMIT 1;"
last_entry = db.query(last_qry)[0]
last_name, last_area, last_sub, last_grade, last_attempts, last_minutes, last_date = last_entry
entry['boulder_name'] = last_name
entry['area'] = last_area
entry['sub_area'] = last_sub
entry['v_grade'] = last_grade
entry['est_attempts'] = last_attempts
entry['est_minutes'] = last_minutes
entry['comment'] = ""
entry['est_date'] = last_date
entry['est_time'] = datetime.strptime('00:00:00','%H:%M:%S').time()
i = 1
while i < 11:
if ((i > 0) and (i < 8)):
i, cats, entry_vals = process_basic(i, entry)
elif ((i > 7) and (i < 10)):
i, cats, entry_vals = process_time(i)
elif ((i > 9) and (i < 11)):
i, cats, entry_vals = process_complete(i, entry)
for cat, val in zip(cats, entry_vals):
if cat is not None:
entry[cat] = val
print "\n"
if entry.get('sub_area') is None:
sa = ""
else:
sa = "\nAND sub_area = '%s'" % (entry.get('sub_area'))
prev_qry = """SELECT est_date, est_time
FROM boulders_tried
WHERE boulder_name = "%s"
AND area = "%s"%s
AND (est_date < "%s"
OR
(est_date = "%s" AND est_time < "%s")
);"""
prev_query = prev_qry % (entry.get('boulder_name'), entry.get('area'), sa, entry.get('est_date'), entry.get('est_date'), entry.get('est_time'))
prev_cnt = db.query(prev_query)
sess_num = len(prev_cnt)
entry["session_num"] = sess_num+1
db.insertRowDict(entry, 'boulders_tried', insertMany=False, replace=True, rid=0, debug=1)
db.conn.commit()
def enter_completed(entry2):
entry2['ascent_date'] = entry2.get('est_date')
prev_time = entry2.get("est_time")
prev_dtime = datetime(100, 1, 1, prev_time.hour, prev_time.minute, prev_time.second)
final_time = prev_dtime + timedelta(minutes=int(entry2.get("est_minutes")))
entry2["final_time"] = final_time.time()
grade_query = "SELECT MAX(font) AS font, 8a_points FROM boulders_grades WHERE hueco = '%s' GROUP BY hueco" % (entry2.get("v_grade"))
grade_res = db.query(grade_query)
if len(grade_res) != 1:
print "\n\n\nERROR", str(entry2.get("v_grade")), "HAS LENGTH", str(len(res))
else:
euro_grade, pts_base = grade_res[0]
entry2['euro_grade'] = euro_grade
pts = pts_base
previous_qry = """SELECT
SUM(est_attempts) AS attempts,
SUM(est_minutes) AS minutes,
COUNT(*) AS sessions
FROM boulders_tried
WHERE boulder_name = "%s"
AND area = "%s"
AND sub_area = "%s"
AND completed != "TRUE"
GROUP BY boulder_name, area;"""
previous_query = previous_qry % (entry2.get("boulder_name"), entry2.get("area"), entry2.get("sub_area"))
previous_res = db.query(previous_query)
if len(previous_res) > 1:
print "\n\n\nERROR", str(entry2.get("boulder_name")), "HAS LENGTH", str(len(res))
elif len(previous_res) == 0:
prev_att, prev_min, prev_sess = [0,0,0]
else:
prev_att, prev_min, prev_sess = previous_res[0]
est_attempts = int(entry2.get("est_attempts")) + prev_att
entry2["est_attempts"] = est_attempts
flash = None
if est_attempts == 1:
flash = "FLASH"
pts += 50
entry2["flash"] = flash
if est_attempts == 2:
pts += 2
if entry2.get("FA") == "FA":
pts += 20
entry2["8a_pts"] = pts
est_minutes = int(entry2.get("est_minutes")) + prev_min
entry2["est_minutes"] = est_minutes
est_sessions = 1 + int(prev_sess)
entry2["est_sessions"] = est_sessions
comment = "Total_Duration={'Final Time':'" + str(final_time.hour).zfill(2) + ":" + str(final_time.minute).zfill(2) + "', 'Attempts':" + str(est_attempts) + ", 'Minutes':" + str(est_minutes) + ", 'Sessions':" + str(est_sessions) + "}. " + str(entry2.get("comment"))
entry2['comment'] = comment
updated = "FALSE"
del entry2['est_time']
del entry2['est_date']
db.insertRowDict(entry2, 'boulders_completed', insertMany=False, replace=True, rid=0, debug=1)
db.conn.commit()
def process_breakdown():
csv_path = "/Users/connordog/Dropbox/Desktop_Files/Work_Things/connor-r.github.io/csvs/boulders_yearlyBreakdown.csv"
csv_file = open(csv_path, "wb")
append_csv = csv.writer(csv_file)
csv_header = ["Year", "8a Top 10 Points", "Climbing Days", "Completed Problems", "Tried Problems", "Completed per Day", "Tried per Day", "Success Rate"]
append_csv.writerow(csv_header)
qry = """SELECT
year AS 'Year', pts AS '8a Top 10 Points',
days AS 'Climbing Days',
completed_cnt AS 'Completed Problems',
tried_cnt AS 'Tried Problems',
ROUND(completed_cnt/days, 1) AS 'Completed per Day',
ROUND(tried_cnt/days, 1) AS 'Tried per Day',
ROUND(completed_cnt/tried_cnt,3) AS 'Success Rate'
FROM(
SELECT 'All Time' AS 'Year', SUM(8a_pts) AS 'pts'
FROM(
SELECT *
FROM boulders_completed
ORDER BY 8a_pts DESC
LIMIT 10
) a
UNION ALL
SELECT 'Last Calendar Year' AS 'Year', SUM(8a_pts) AS 'pts'
FROM(
SELECT *
FROM boulders_completed
WHERE ascent_date > DATE_ADD(curdate(), INTERVAL -1 YEAR)
ORDER BY 8a_pts DESC
LIMIT 10
) b
UNION ALL
SELECT c_year AS 'Year', SUM(8a_pts) AS 'pts'
FROM(
SELECT YEAR(ascent_date) AS 'c_year', 8a_pts, @year, @auto,
IF(@year=(@year:=YEAR(ascent_date)), @auto:=@auto+1, @auto:=1) indx
FROM boulders_completed, (SELECT @year:=0, @auto:=1) a
ORDER BY YEAR(ascent_date), 8a_pts DESC
) c
WHERE indx <= 10
GROUP BY c_year DESC
) pts
JOIN(
SELECT
'All Time' AS 'Year', COUNT(DISTINCT est_date) AS days
FROM boulders_tried
WHERE YEAR (est_date) != 0
UNION ALL
SELECT
'Last Calendar Year' AS 'Year', COUNT(DISTINCT est_date) AS days
FROM boulders_tried
WHERE YEAR (est_date) != 0
AND est_date > DATE_ADD(curdate(), INTERVAL -1 YEAR)
UNION ALL
SELECT
YEAR(est_date) AS 'Year', COUNT(DISTINCT est_date) AS days
FROM boulders_tried
WHERE YEAR (est_date) != 0
GROUP BY YEAR(est_date)
ORDER BY YEAR DESC
) days USING (YEAR)
JOIN(
SELECT 'All Time' AS 'Year', COUNT(*) AS completed_cnt
FROM boulders_completed
UNION ALL
SELECT 'Last Calendar Year' AS 'Year', COUNT(*) AS completed_cnt
FROM boulders_completed
WHERE ascent_date > DATE_ADD(curdate(), INTERVAL -1 YEAR)
UNION ALL
SELECT
YEAR(ascent_date) AS 'Year', COUNT(*) AS completed_cnt
FROM boulders_completed
GROUP BY YEAR(ascent_date)
ORDER BY YEAR DESC
) cnt USING (YEAR)
JOIN(
SELECT 'All Time' AS 'Year', COUNT(*) AS tried_cnt
FROM boulders_tried
UNION ALL
SELECT 'Last Calendar Year' AS 'Year', COUNT(*) AS tried_cnt
FROM boulders_tried
WHERE est_date > DATE_ADD(curdate(), INTERVAL -1 YEAR)
UNION ALL
SELECT
YEAR(est_date) AS 'Year', COUNT(*) AS tried_cnt
FROM boulders_tried
GROUP BY YEAR(est_date)
ORDER BY YEAR DESC
) tried USING (YEAR)
ORDER BY YEAR='All Time' DESC, YEAR='current' DESC, YEAR DESC;"""
res = db.query(qry)
for row in res:
row = list(row)
append_csv.writerow(row)
