Spaces:
Running
Running
File size: 84,395 Bytes
e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 41cac3a e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 8b90f94 e04b1f9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318 1319 1320 1321 1322 1323 1324 1325 1326 1327 1328 1329 1330 1331 1332 1333 1334 1335 1336 1337 1338 1339 1340 1341 1342 1343 1344 1345 1346 1347 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361 1362 1363 1364 1365 1366 1367 1368 1369 1370 1371 1372 1373 1374 1375 1376 1377 1378 1379 1380 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1391 1392 1393 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 1492 1493 1494 1495 1496 1497 1498 1499 1500 1501 1502 1503 1504 1505 1506 1507 1508 1509 1510 1511 1512 1513 1514 1515 1516 1517 1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 1562 1563 1564 1565 1566 1567 1568 1569 1570 1571 1572 1573 1574 1575 1576 1577 1578 1579 1580 1581 1582 1583 1584 1585 1586 1587 1588 1589 1590 1591 1592 1593 1594 1595 1596 1597 1598 1599 1600 1601 1602 1603 1604 1605 1606 1607 1608 1609 1610 1611 1612 1613 1614 1615 1616 1617 1618 1619 1620 1621 1622 1623 1624 1625 1626 1627 1628 1629 1630 1631 1632 1633 1634 1635 1636 1637 1638 1639 1640 1641 1642 1643 1644 1645 1646 1647 1648 1649 1650 1651 1652 1653 1654 1655 1656 1657 1658 1659 1660 1661 1662 1663 1664 1665 1666 1667 1668 1669 1670 1671 1672 1673 1674 1675 1676 1677 1678 1679 1680 1681 1682 1683 1684 1685 1686 1687 1688 1689 1690 1691 1692 1693 1694 1695 1696 1697 1698 1699 1700 1701 1702 1703 1704 1705 1706 1707 1708 1709 1710 1711 1712 1713 1714 1715 1716 1717 1718 1719 1720 1721 1722 1723 1724 1725 1726 1727 1728 1729 1730 1731 1732 1733 1734 1735 1736 1737 1738 1739 1740 1741 1742 1743 1744 1745 1746 1747 1748 1749 1750 1751 1752 1753 1754 1755 1756 1757 1758 1759 1760 1761 1762 1763 1764 1765 1766 1767 1768 1769 1770 1771 1772 1773 1774 1775 1776 1777 1778 1779 1780 1781 1782 1783 1784 1785 1786 1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 1819 1820 1821 1822 1823 1824 1825 1826 1827 1828 1829 1830 1831 1832 1833 1834 1835 1836 1837 1838 1839 1840 1841 1842 1843 1844 1845 1846 1847 1848 1849 1850 1851 1852 1853 1854 1855 1856 1857 1858 1859 1860 1861 1862 1863 1864 1865 1866 1867 1868 1869 1870 1871 1872 1873 1874 1875 1876 1877 1878 1879 1880 1881 1882 1883 1884 1885 1886 1887 1888 1889 1890 1891 1892 1893 1894 1895 1896 1897 1898 1899 1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 2041 2042 2043 2044 2045 2046 2047 2048 2049 2050 2051 2052 2053 2054 2055 2056 2057 2058 2059 2060 2061 2062 2063 2064 2065 2066 2067 2068 2069 2070 2071 2072 2073 2074 2075 2076 2077 2078 2079 2080 2081 2082 2083 2084 2085 2086 2087 2088 2089 2090 2091 2092 2093 2094 2095 2096 2097 2098 2099 2100 2101 2102 2103 2104 2105 2106 2107 2108 2109 2110 2111 2112 2113 2114 2115 2116 2117 2118 2119 2120 2121 2122 2123 2124 2125 2126 2127 |
import gradio as gr
import datetime
import json
import os
import calendar
from pathlib import Path
import plotly.graph_objects as go
import plotly.express as px
import numpy as np
# Create data directory if it doesn't exist
DATA_DIR = Path("daily_data")
try:
DATA_DIR.mkdir(parents=True, exist_ok=True)
except Exception as e:
print(f"Error creating data directory: {e}")
JOURNAL_QUESTIONS = [
"What made you happiest today, and why?",
"What was the biggest challenge you faced today, and how did you approach it?",
"What's one thing you learned or realized today?",
"What are you grateful for today?",
"What emotion did you feel the most today? What triggered it?",
"What's one moment or interaction that stood out to you?",
"What progress did you make toward your goals today?",
"Did you notice any recurring habits or patterns in your day?",
"How did you support or connect with someone today?",
"What could you have done differently to improve your day?",
"What's one thing you want to prioritize or focus on tomorrow?",
"If today were a chapter in your life story, what would its title be?"
]
def get_date_key():
"""Get current date in YYYY-MM-DD format"""
return datetime.datetime.now().strftime("%Y-%m-%d")
def save_daily_data(data, date_key=None):
"""Save daily data to JSON file"""
if date_key is None:
date_key = get_date_key()
# Ensure data is a dictionary
if not isinstance(data, dict):
data = create_empty_daily_data()
# Convert DataFrame to list for JSON serialization
if "focus" in data:
if "priorities" in data["focus"]:
priorities = data["focus"]["priorities"]
if hasattr(priorities, '__array__') or hasattr(priorities, 'values'):
data["focus"]["priorities"] = priorities.values.tolist() if hasattr(priorities, 'values') else priorities.tolist()
if "later" in data["focus"]:
later = data["focus"]["later"]
if hasattr(later, '__array__') or hasattr(later, 'values'):
data["focus"]["later"] = later.values.tolist() if hasattr(later, 'values') else later.tolist()
# Deep merge required fields with existing data
required_fields = {
"tracking_metrics": {
"productivity": 0,
"energy": 0,
"mood": 0,
"sleep_quality": 0,
"exercise_intensity": 0
},
"habits": {},
"focus": {
"priorities": [],
"later": [],
"priority_reward": "",
"later_reward": ""
},
"meals": {
"breakfast": "",
"lunch": "",
"dinner": "",
"snacks": ""
},
"last_updated": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
}
for key, default_value in required_fields.items():
if key not in data:
data[key] = default_value
elif isinstance(default_value, dict):
for subkey, subvalue in default_value.items():
if subkey not in data[key]:
data[key][subkey] = subvalue
file_path = DATA_DIR / f"{date_key}.json"
try:
# Ensure the directory exists again (in case it was deleted)
DATA_DIR.mkdir(parents=True, exist_ok=True)
# Write directly to the file first
with open(file_path, 'w') as f:
json.dump(data, f, indent=2, sort_keys=True)
except Exception as e:
print(f"Error saving data: {e}")
try:
# Fallback: try to save in the current directory
with open(f"{date_key}.json", 'w') as f:
json.dump(data, f, indent=2, sort_keys=True)
print(f"Saved data to current directory as fallback")
except Exception as e2:
print(f"Final save attempt failed: {e2}")
def clean_daily_data_file(date_key):
"""Clean up corrupted JSON file and restore it with valid data"""
file_path = DATA_DIR / f"{date_key}.json"
try:
if file_path.exists():
with open(file_path, 'r') as f:
content = f.read().strip()
try:
# Try to parse the content directly first
data = json.loads(content)
return validate_data_structure(data)
except json.JSONDecodeError:
# If that fails, try to clean the content
content = content.rstrip(', \t\n\r')
last_brace = content.rfind('}')
if last_brace != -1:
content = content[:last_brace + 1]
try:
data = json.loads(content)
data = validate_data_structure(data)
# Save the cleaned data
save_daily_data(data, date_key)
return data
except:
pass
# If all cleaning attempts fail, create new data
print(f"Creating new data for {date_key}")
data = create_empty_daily_data()
save_daily_data(data, date_key)
return data
except Exception as e:
print(f"Error cleaning data file {date_key}: {e}")
return create_empty_daily_data()
def load_daily_data(date_key=None):
"""Load daily data from JSON file"""
if date_key is None:
date_key = get_date_key()
file_path = DATA_DIR / f"{date_key}.json"
try:
if file_path.exists():
try:
# Try to load and clean the file
data = clean_json_file(file_path)
# Validate and update the data structure
data = validate_data_structure(data)
save_daily_data(data, date_key)
return data
except Exception as e:
print(f"Error loading data: {e}")
return create_empty_daily_data()
else:
# Only create new file if it's today's date
if date_key == get_date_key():
data = create_empty_daily_data()
save_daily_data(data, date_key)
return data
else:
return create_empty_daily_data()
except Exception as e:
print(f"Error loading data: {e}")
return create_empty_daily_data()
def validate_data_structure(data):
"""Validate and update data structure if needed"""
if not isinstance(data, dict):
return create_empty_daily_data()
# Create a new data structure with all required fields
valid_data = create_empty_daily_data()
# Copy existing data while ensuring all required fields exist
for key, default_value in valid_data.items():
if key in data:
if isinstance(default_value, dict):
valid_data[key] = {**default_value, **data[key]}
else:
valid_data[key] = data[key]
return valid_data
def create_empty_daily_data():
"""Create empty data structure for a new day"""
# Load current habits list
current_habits = load_habits()
data = {
"habits": {habit: [False] * 7 for habit in current_habits},
"focus": {
"priorities": [
["", ""], # Empty task and status
["", ""],
["", ""],
["", ""],
["", ""]
],
"later": [
["", ""], # Empty task and status
["", ""],
["", ""],
["", ""],
["", ""]
],
"priority_reward": "",
"later_reward": ""
},
"meals": {
"breakfast": "",
"lunch": "",
"dinner": "",
"snacks": ""
},
"last_updated": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
"tracking_metrics": {
"productivity": 0,
"energy": 0,
"mood": 0,
"sleep_quality": 0,
"exercise_intensity": 0
}
}
# Add journal section with empty entries
data["journal"] = {
question: "" for question in JOURNAL_QUESTIONS
}
return data
def get_week_dates():
"""Get dates for current week"""
today = datetime.date.today()
monday = today - datetime.timedelta(days=today.weekday())
return [(monday + datetime.timedelta(days=i)).strftime("%Y-%m-%d") for i in range(7)]
def get_month_dates():
"""Get dates for current month"""
today = datetime.date.today()
_, num_days = calendar.monthrange(today.year, today.month)
return [(datetime.date(today.year, today.month, day)).strftime("%Y-%m-%d")
for day in range(1, num_days + 1)]
def load_week_data():
"""Load data for the current week"""
week_data = {}
week_dates = get_week_dates()
for date in week_dates:
file_path = DATA_DIR / f"{date}.json"
if file_path.exists():
try:
data = load_daily_data(date)
week_data[date] = data
except Exception as e:
print(f"Error loading week data for {date}: {e}")
week_data[date] = create_empty_daily_data()
else:
# Don't create a file, just return empty data structure
week_data[date] = {
"tracking_metrics": {
"productivity": 0,
"energy": 0,
"mood": 0,
"sleep_quality": 0,
"exercise_intensity": 0
}
}
return week_data
def load_month_data():
"""Load data for the current month"""
month_data = {}
month_dates = get_month_dates()
for date in month_dates:
file_path = DATA_DIR / f"{date}.json"
if file_path.exists():
try:
data = load_daily_data(date)
month_data[date] = data
except Exception as e:
print(f"Error loading month data for {date}: {e}")
month_data[date] = create_empty_daily_data()
else:
# Don't create a file, just return empty data structure
month_data[date] = {
"tracking_metrics": {
"productivity": 0,
"energy": 0,
"mood": 0,
"sleep_quality": 0,
"exercise_intensity": 0
}
}
return month_data
def calculate_success_rate(data_dict, metric):
"""Calculate success rate for a given metric"""
if not data_dict:
return 0
total = 0
count = 0
for date, data in data_dict.items():
# Ensure tracking_metrics exists for each data point
if "tracking_metrics" not in data:
data["tracking_metrics"] = {
"productivity": 0,
"energy": 0,
"mood": 0,
"sleep_quality": 0,
"exercise_intensity": 0
}
if metric in data.get("tracking_metrics", {}):
total += data["tracking_metrics"][metric]
count += 1
return round((total / count) if count > 0 else 0, 2)
# Replace the hardcoded HABITS list with a function to load habits
def get_default_habits():
"""Get the default habits list if no custom list exists"""
return [
# Morning Routine (Essential)
"Morning Exercise/Yoga",
"Meditation (20min)",
# After Work Activities
"Evening Stretch (20min)",
"Active Learning (20min)",
"Journal",
# Flexible Throughout Day
"Reading (20min)",
"Take a photo",
"Future Planning"
]
def load_habits():
"""Load the current habits list from the configuration"""
config_path = Path("habits_config.json")
if config_path.exists():
try:
with open(config_path, 'r') as f:
data = json.load(f)
if "habits" in data and isinstance(data["habits"], list):
return data["habits"]
else:
# If the file exists but is invalid, create a new one with defaults
default_habits = get_default_habits()
save_habits(default_habits)
return default_habits
except Exception as e:
print(f"Error loading habits: {e}")
# If there's an error reading the file, create a new one with defaults
default_habits = get_default_habits()
save_habits(default_habits)
return default_habits
else:
# If the file doesn't exist, create it with defaults
default_habits = get_default_habits()
save_habits(default_habits)
return default_habits
def save_habits(habits_list):
"""Save the current habits list to configuration"""
config_path = Path("habits_config.json")
try:
# Ensure the list is unique and sorted
habits_list = sorted(list(set(habits_list)))
# Save to config file
with open(config_path, 'w') as f:
json.dump({"habits": habits_list}, f, indent=2)
# Also update the current day's data to match
current_data = load_daily_data()
new_habits = {habit: [False] * 7 for habit in habits_list}
# Preserve existing habit states
for habit, states in current_data["habits"].items():
if habit in new_habits:
new_habits[habit] = states
current_data["habits"] = new_habits
save_daily_data(current_data)
except Exception as e:
print(f"Error saving habits: {e}")
# Remove redundant constants
DEFAULT_SELF_CARE_ITEMS = [
"Yoga (AM)", "Vitamins", "Outside",
"Stretch (PM)", "Reading", "Learning", "Journal",
"Tapping", "Meditate", "Brain Train"
]
def parse_time(time_str):
"""Parse time string in either 12-hour or 24-hour format"""
try:
# Try 24-hour format first
return datetime.datetime.strptime(time_str, "%H:%M").strftime("%H:%M")
except ValueError:
try:
# Try 12-hour format with AM/PM
return datetime.datetime.strptime(time_str.strip().upper(), "%I:%M %p").strftime("%H:%M")
except ValueError:
try:
# Try 12-hour format without space before AM/PM
return datetime.datetime.strptime(time_str.strip().upper(), "%I:%M%p").strftime("%H:%M")
except ValueError:
return "00:00" # Default if parsing fails
def calculate_age_stats(birth_date_str, birth_time_str="00:00"):
"""Calculate age-related statistics with precise birth date and time"""
try:
# Parse birth date and time
try:
birth_time = parse_time(birth_time_str)
except ValueError:
return {"Error": "Invalid time format. Please use either HH:MM (24-hour) or HH:MM AM/PM (12-hour)"}
birth_datetime = datetime.datetime.strptime(f"{birth_date_str} {birth_time}", "%Y-%m-%d %H:%M")
now = datetime.datetime.now()
# Calculate time differences
time_lived = now - birth_datetime
age_days = time_lived.days
age_hours = time_lived.total_seconds() / 3600
age_minutes = time_lived.total_seconds() / 60
age_weeks = age_days / 7
age_months = age_days / 30.44
age_years = age_days / 365.25
# Calculate time until milestones
days_until_90 = (datetime.datetime(birth_datetime.year + 90, birth_datetime.month, birth_datetime.day) - now).days
weeks_until_90 = days_until_90 / 7
months_until_90 = days_until_90 / 30.44
years_until_90 = days_until_90 / 365.25
# Calculate percentages and milestones
percent_lived = (age_years / 90) * 100
percent_of_year = (now.timetuple().tm_yday / 365.25) * 100
percent_of_month = (now.day / calendar.monthrange(now.year, now.month)[1]) * 100
percent_of_week = ((now.weekday() + 1) / 7) * 100
percent_of_day = ((now.hour * 3600 + now.minute * 60 + now.second) / 86400) * 100
# Calculate next birthday
next_birthday = datetime.datetime(now.year, birth_datetime.month, birth_datetime.day)
if next_birthday < now:
next_birthday = datetime.datetime(now.year + 1, birth_datetime.month, birth_datetime.day)
days_to_birthday = (next_birthday - now).days
return {
"Current Age": {
"Years": f"{age_years:.2f}",
"Months": f"{age_months:.1f}",
"Weeks": f"{age_weeks:.1f}",
"Days": str(age_days),
"Hours": f"{age_hours:,.0f}",
"Minutes": f"{age_minutes:,.0f}"
},
"Time Until 90": {
"Years": f"{years_until_90:.1f}",
"Months": f"{months_until_90:.1f}",
"Weeks": f"{weeks_until_90:.1f}",
"Days": str(days_until_90)
},
"Life Progress": {
"Life Percentage": f"{percent_lived:.1f}%",
"Current Year": f"{percent_of_year:.1f}%",
"Current Month": f"{percent_of_month:.1f}%",
"Current Week": f"{percent_of_week:.1f}%",
"Current Day": f"{percent_of_day:.1f}%"
},
"Milestones": {
"Days to Next Birthday": str(days_to_birthday),
"Weeks Lived": f"{age_weeks:,.0f}",
"Days Lived": f"{age_days:,d}",
"Hours Lived": f"{age_hours:,.0f}",
"10,000 Days": f"{10000 - (age_days % 10000)} days until next 10k milestone",
"Life Seasons": f"You are in season {int(age_years/20) + 1} of your life"
}
}
except ValueError as e:
return {"Error": f"Invalid date or time format. Please use YYYY-MM-DD for date and HH:MM (24-hour) or HH:MM AM/PM (12-hour) for time."}
def update_progress(checkboxes):
"""Calculate progress percentage"""
completed = sum(1 for x in checkboxes if x)
total = len(checkboxes)
return f"{(completed/total)*100:.1f}%" if total > 0 else "0%"
def check_and_refresh_day(current_data):
"""Check if we need to start a new day"""
# Ensure tracking_metrics exists
if "tracking_metrics" not in current_data:
current_data["tracking_metrics"] = {
"productivity": 0,
"energy": 0,
"mood": 0,
"sleep_quality": 0,
"exercise_intensity": 0
}
last_updated = datetime.datetime.strptime(current_data["last_updated"], "%Y-%m-%d %H:%M:%S")
current_time = datetime.datetime.now()
# If it's a new day (past midnight)
if last_updated.date() < current_time.date():
# Save current data with previous date
previous_date = last_updated.strftime("%Y-%m-%d")
save_daily_data(current_data, previous_date)
# Create new empty data for today
current_data = create_empty_daily_data()
save_daily_data(current_data)
# Always return the current data
return current_data
def update_data(data_key, value):
"""Update specific data in the daily record"""
current_data = load_daily_data()
current_data = check_and_refresh_day(current_data)
# Convert value to list only if it's a DataFrame or numpy array and not a dict
if not isinstance(value, dict) and (hasattr(value, '__array__') or hasattr(value, 'values')):
value = value.values.tolist() if hasattr(value, 'values') else value.tolist()
# Update the specified data
keys = data_key.split('.')
target = current_data
# Special handling for habits which are stored as lists
if keys[0] == "habits" and len(keys) == 3:
habit_name = keys[1]
day_index = int(keys[2]) # Convert string index to integer
if habit_name in target["habits"]:
target["habits"][habit_name][day_index] = value
else:
# Normal dictionary path traversal
for key in keys[:-1]:
target = target[key]
target[keys[-1]] = value
current_data["last_updated"] = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
save_daily_data(current_data)
return current_data
def update_activity(new_name, old_name):
"""Update a self-care activity name and maintain its status"""
if not new_name.strip() or new_name == old_name:
return gr.update()
try:
current_data = load_daily_data()
# Ensure proper data structure
if "self_care" not in current_data or not isinstance(current_data["self_care"], dict):
current_data["self_care"] = {
"items": DEFAULT_SELF_CARE_ITEMS.copy(),
"status": {item: "Not Done" for item in DEFAULT_SELF_CARE_ITEMS}
}
if "items" not in current_data["self_care"]:
current_data["self_care"]["items"] = list(current_data["self_care"].keys())
current_data["self_care"]["status"] = current_data["self_care"].copy()
# Update activity in items list
if old_name in current_data["self_care"]["items"]:
idx = current_data["self_care"]["items"].index(old_name)
current_data["self_care"]["items"][idx] = new_name.strip()
# Update status
if "status" in current_data["self_care"]:
if old_name in current_data["self_care"]["status"]:
current_data["self_care"]["status"][new_name.strip()] = current_data["self_care"]["status"].pop(old_name)
save_daily_data(current_data)
return gr.update()
except Exception as e:
print(f"Error updating activity: {e}")
return gr.update()
def create_life_visualizations(stats):
figures = {}
# 1. Life Progress Donut Chart
progress_data = {k: float(v.strip('%')) for k, v in stats["Life Progress"].items()}
fig_progress = go.Figure(data=[go.Pie(
labels=list(progress_data.keys()),
values=list(progress_data.values()),
hole=.3,
marker_colors=px.colors.qualitative.Set3
)])
fig_progress.update_layout(title="Life Progress Metrics")
figures["progress"] = fig_progress
# 2. Time Remaining Bar Chart
time_until = {k: float(v) for k, v in stats["Time Until 90"].items()}
fig_remaining = go.Figure(data=[go.Bar(
x=list(time_until.keys()),
y=list(time_until.values()),
marker_color='lightblue'
)])
fig_remaining.update_layout(title="Time Until 90")
figures["remaining"] = fig_remaining
# 3. Life Timeline
current_year = float(stats["Current Age"]["Years"])
fig_timeline = go.Figure()
# Add seasons
seasons = [
{"name": "Learning & Discovery", "start": 0, "end": 20, "color": "lightgreen"},
{"name": "Creation & Building", "start": 20, "end": 40, "color": "lightblue"},
{"name": "Mastery & Leadership", "start": 40, "end": 60, "color": "lightyellow"},
{"name": "Wisdom & Guidance", "start": 60, "end": 80, "color": "lightpink"},
{"name": "Legacy & Reflection", "start": 80, "end": 90, "color": "lavender"}
]
for season in seasons:
fig_timeline.add_shape(
type="rect",
x0=season["start"],
x1=season["end"],
y0=0,
y1=1,
fillcolor=season["color"],
opacity=0.3,
layer="below",
line_width=0,
)
# Add current age marker
fig_timeline.add_trace(go.Scatter(
x=[current_year, current_year],
y=[0, 1],
mode="lines",
line=dict(color="red", width=2),
name="Current Age"
))
fig_timeline.update_layout(
title="Life Seasons Timeline",
xaxis_title="Age",
yaxis_showticklabels=False,
showlegend=True
)
figures["timeline"] = fig_timeline
return figures
def update_metrics(prod, en, m, slp, ex, selected_date=None):
"""Update tracking metrics and return updated weekly grid"""
if selected_date is None:
selected_date = get_date_key()
# Load data for the selected date
current_data = load_daily_data(selected_date)
# Update the metrics
current_data["tracking_metrics"] = {
"productivity": prod,
"energy": en,
"mood": m,
"sleep_quality": slp,
"exercise_intensity": ex
}
# Save the updated data
save_daily_data(current_data, selected_date)
# Reload week data to get updated grid
week_data = load_week_data()
# Create updated weekly grid values
week_dates = get_week_dates()
grid_values = [
["Productivity"] + [week_data[date]["tracking_metrics"]["productivity"] for date in week_dates],
["Energy"] + [week_data[date]["tracking_metrics"]["energy"] for date in week_dates],
["Mood"] + [week_data[date]["tracking_metrics"]["mood"] for date in week_dates],
["Sleep"] + [week_data[date]["tracking_metrics"]["sleep_quality"] for date in week_dates],
["Exercise"] + [week_data[date]["tracking_metrics"]["exercise_intensity"] for date in week_dates]
]
# Calculate monthly averages
month_data = load_month_data()
avg_prod = calculate_success_rate(month_data, "productivity")
avg_energy = calculate_success_rate(month_data, "energy")
avg_mood = calculate_success_rate(month_data, "mood")
avg_sleep = calculate_success_rate(month_data, "sleep_quality")
avg_exercise = calculate_success_rate(month_data, "exercise_intensity")
return [
grid_values, # Weekly grid values
f"Average Productivity: {avg_prod}/5",
f"Average Energy: {avg_energy}/5",
f"Average Mood: {avg_mood}/5",
f"Average Sleep: {avg_sleep}/5",
f"Average Exercise: {avg_exercise}/5"
]
def update_journal_entry(question, answer):
"""Update a specific journal entry"""
current_data = load_daily_data()
# Ensure journal section exists
if "journal" not in current_data:
current_data["journal"] = {q: "" for q in JOURNAL_QUESTIONS}
# Update the specific question's answer
current_data["journal"][question] = answer
# Save the updated data
save_daily_data(current_data)
return current_data
# Add this function to format the stats display
def create_stats_display(stats):
# Current Age Section
current_age = f"""
### 🎂 Current Age
- **Years:** {stats["Current Age"]["Years"]} years
- **Months:** {stats["Current Age"]["Months"]} months
- **Weeks:** {stats["Current Age"]["Weeks"]} weeks
- **Days:** {stats["Current Age"]["Days"]} days
⏰ You've been alive for:
- **{stats["Current Age"]["Hours"]}** hours
- **{stats["Current Age"]["Minutes"]}** minutes
"""
# Time Until 90 Section
time_remaining = f"""
### ⏳ Time Until 90
- **Years:** {stats["Time Until 90"]["Years"]} years
- **Months:** {stats["Time Until 90"]["Months"]} months
- **Weeks:** {stats["Time Until 90"]["Weeks"]} weeks
- **Days:** {stats["Time Until 90"]["Days"]} days
"""
# Progress Section
progress = f"""
### 📊 Life Progress
- **Life Journey:** {stats["Life Progress"]["Life Percentage"]} complete
- **This Year:** {stats["Life Progress"]["Current Year"]} complete
- **This Month:** {stats["Life Progress"]["Current Month"]} complete
- **This Week:** {stats["Life Progress"]["Current Week"]} complete
- **Today:** {stats["Life Progress"]["Current Day"]} complete
"""
# Milestones Section
milestones = f"""
### 🏆 Key Milestones
- **Next Birthday:** {stats["Milestones"]["Days to Next Birthday"]} days away
- **Weeks Journey:** {stats["Milestones"]["Weeks Lived"]} weeks lived
- **Days Journey:** {stats["Milestones"]["Days Lived"]} days experienced
- **Hours Journey:** {stats["Milestones"]["Hours Lived"]} hours lived
- **10k Milestone:** {stats["Milestones"]["10,000 Days"]}
- **Life Season:** {stats["Milestones"]["Life Seasons"]}
"""
return current_age, time_remaining, progress, milestones
# Add this function to format daily data for display
def format_daily_summary(date, data):
"""Format daily data into a summary row for the history table"""
try:
metrics = data.get("tracking_metrics", {})
habits_completed = sum(1 for habit in data.get("habits", {}).values()
for done in habit if done)
total_habits = len(data.get("habits", {})) * 7
habits_percent = f"{(habits_completed/total_habits)*100:.1f}%" if total_habits > 0 else "0%"
journal_entries = sum(1 for entry in data.get("journal", {}).values() if entry.strip())
# Format date for display
display_date = datetime.datetime.strptime(date, "%Y-%m-%d").strftime("%Y-%m-%d (%a)")
return [
display_date,
metrics.get("productivity", 0),
metrics.get("energy", 0),
metrics.get("mood", 0),
metrics.get("sleep_quality", 0),
metrics.get("exercise_intensity", 0),
habits_percent,
journal_entries
]
except Exception as e:
print(f"Error formatting data for {date}: {e}")
return [date, 0, 0, 0, 0, 0, "0%", 0]
# Add this function to load history data
def load_history_data():
"""Load all available daily data files"""
history_data = []
# Get all JSON files in the data directory
json_files = sorted(DATA_DIR.glob("*.json"), reverse=True) # Sort newest first
for file_path in json_files:
date = file_path.stem # Get date from filename
try:
with open(file_path, 'r') as f:
data = json.load(f)
# Format the data for display
history_data.append(format_daily_summary(date, data))
except Exception as e:
print(f"Error loading {file_path}: {e}")
return history_data
def save_user_config(birth_date, birth_time):
"""Save user configuration data"""
try:
# Validate date format
datetime.datetime.strptime(birth_date, "%Y-%m-%d")
# Convert time to 24-hour format
formatted_time = parse_time(birth_time)
config = {
"birth_date": birth_date,
"birth_time": formatted_time
}
config_path = Path("user_config.json")
with open(config_path, "w") as f:
json.dump(config, f, indent=2)
return True
except Exception as e:
print(f"Error saving config: {e}")
return False
def load_user_config():
"""Load user configuration data"""
config_path = Path("user_config.json")
default_config = {
"birth_date": "", # Your birth date
"birth_time": "" # Your birth time in 24-hour format
}
if config_path.exists():
try:
with open(config_path, "r") as f:
config = json.load(f)
# Validate loaded data
datetime.datetime.strptime(config["birth_date"], "%Y-%m-%d")
parse_time(config["birth_time"])
return config
except Exception as e:
print(f"Error loading config: {e}")
return default_config
def add_new_habit(habit_name, duration, category):
"""Add a new habit to the tracking system"""
try:
if not habit_name.strip():
return "⚠️ Please enter a habit name", None, None, None
# Format the habit name with duration if provided
formatted_habit = habit_name.strip()
if duration:
formatted_habit = f"{formatted_habit} ({duration})"
# Add category prefix for sorting
if category == "Morning":
formatted_habit = f"Morning {formatted_habit}"
elif category == "Evening":
formatted_habit = f"Evening {formatted_habit}"
# Load current habits
current_habits = load_habits()
# Check if habit already exists
if formatted_habit in current_habits:
return "⚠️ This habit already exists", None, None, None
# Add new habit to list
current_habits.append(formatted_habit)
# Save updated habits list
save_habits(current_habits)
# Return success message and clear inputs
return "✅ Habit added successfully!", "", "", ""
except Exception as e:
print(f"Error adding habit: {e}")
return f"❌ Error adding habit: {str(e)}", None, None, None
def create_habit_section():
"""Create the habit tracking section with better layout"""
# Load current habits
current_habits = load_habits()
# Group habits by time of day
morning_habits = [h for h in current_habits if any(x in h.lower() for x in ["wake", "morning", "meditation", "brain", "walk"])]
evening_habits = [h for h in current_habits if any(x in h.lower() for x in ["evening", "massage", "learning", "journal", "guitar"])]
flexible_habits = [h for h in current_habits if h not in morning_habits + evening_habits]
with gr.Column(scale=1):
gr.Markdown("### 📅 Daily Habits & Tasks")
# Create summary text component first
with gr.Row():
gr.Markdown("### 📊 Weekly Summary")
summary_text = gr.Markdown()
refresh_btn = gr.Button("🔄 Refresh")
# Add status message component
status_message = gr.Markdown(visible=False)
# Connect refresh button to update summary
refresh_btn.click(
fn=update_summary,
outputs=summary_text
)
# Add column headers once at the top
with gr.Row(equal_height=True, variant="compact"):
with gr.Column(scale=6):
gr.Markdown("Task")
with gr.Column(scale=7):
with gr.Row(equal_height=True, variant="compact"):
days = ["M", "T", "W", "Th", "F", "S", "Su"]
for day in days:
with gr.Column(scale=1, min_width=35):
gr.Markdown(day)
with gr.Column(scale=3):
gr.Markdown("Progress")
# Morning Section
with gr.Group():
gr.Markdown("#### 🌅 Morning Routine")
create_habit_group(morning_habits, summary_text)
gr.Markdown("---")
# Evening Section
with gr.Group():
gr.Markdown("#### 🌙 Evening Activities")
create_habit_group(evening_habits, summary_text)
gr.Markdown("---")
# Flexible Section
with gr.Group():
gr.Markdown("#### ⭐ Flexible Activities")
create_habit_group(flexible_habits, summary_text)
gr.Markdown("---")
# Add new habit section
with gr.Row(equal_height=True):
new_habit = gr.Textbox(
label="New Habit/Task",
placeholder="Enter a new habit or task to track",
scale=3,
min_width=200
)
category = gr.Dropdown(
choices=["Morning", "Evening", "Flexible"],
label="Category",
value="Flexible",
scale=2,
min_width=100
)
duration = gr.Dropdown(
choices=["", "15min", "20min", "30min", "45min", "60min"],
label="Duration",
scale=2,
min_width=100
)
add_btn = gr.Button("Add Habit", scale=1, min_width=100)
# Add status message component
status_message = gr.Markdown(visible=False)
def add_and_refresh(habit_name, category, duration):
message, _, _, _ = add_new_habit(habit_name, duration, category)
# Reload habits and recreate sections
current_habits = load_habits()
morning_habits = [h for h in current_habits if any(x in h.lower() for x in ["wake", "morning", "meditation", "brain", "walk"])]
evening_habits = [h for h in current_habits if any(x in h.lower() for x in ["evening", "massage", "learning", "journal", "guitar"])]
flexible_habits = [h for h in current_habits if h not in morning_habits + evening_habits]
# Update summary
summary = update_summary()
# Create updated habit groups
create_habit_group(morning_habits, summary_text)
create_habit_group(evening_habits, summary_text)
create_habit_group(flexible_habits, summary_text)
return [
message, # Status message
"", # Clear habit input
category, # Keep category selection
"", # Clear duration input
gr.update(visible=True), # Show status message
gr.update(value=summary) # Update summary text
]
# Connect the add button event
add_btn.click(
fn=add_and_refresh,
inputs=[new_habit, category, duration],
outputs=[
status_message,
new_habit,
category,
duration,
status_message,
summary_text
]
)
# Create a refresh button that will be clicked programmatically
refresh_habits_btn = gr.Button("Refresh", visible=False)
def add_and_refresh(habit_name, duration):
message, _, _ = add_new_habit(habit_name, duration)
return [
message, # Status message
"", # Clear habit input
"", # Clear duration input
gr.update(visible=True), # Show status message
True # Trigger refresh button
]
# Connect the add button event
add_btn.click(
fn=add_and_refresh,
inputs=[new_habit, duration],
outputs=[
status_message,
new_habit,
duration,
status_message,
refresh_habits_btn
]
)
# Connect refresh button to reload habits
def reload_habits():
current_habits = load_habits()
morning_habits = [h for h in current_habits if any(x in h.lower() for x in ["wake", "morning", "meditation", "brain", "walk"])]
evening_habits = [h for h in current_habits if any(x in h.lower() for x in ["evening", "massage", "learning", "journal", "guitar"])]
flexible_habits = [h for h in current_habits if h not in morning_habits + evening_habits]
return [
gr.update(value=update_summary()), # Update summary
gr.update(visible=False) # Hide status message
]
refresh_habits_btn.click(
fn=reload_habits,
outputs=[
summary_text,
status_message
]
)
def create_habit_group(habits, summary_text):
"""Create a group of habit tracking rows with better scaling"""
for habit in habits:
with gr.Row(equal_height=True, variant="compact") as row:
# Task name and duration (left side)
with gr.Column(scale=6, min_width=300):
name_edit = gr.Textbox(
value=habit,
label="Task Name",
interactive=True,
container=False,
)
# Duration slider (optional, shown inline)
duration_edit = None
if any(x in habit.lower() for x in ["min", "hour"]):
duration_edit = gr.Slider(
minimum=5,
maximum=60,
value=int(''.join(filter(str.isdigit, habit))) if any(c.isdigit() for c in habit) else 20,
step=5,
label="Duration",
container=False,
scale=1
)
# Checkboxes container (middle)
with gr.Column(scale=7, min_width=350):
with gr.Row(equal_height=True, variant="compact"):
days = ["M", "T", "W", "Th", "F", "S", "Su"]
checkboxes = []
for day in days:
with gr.Column(scale=1, min_width=30):
checkbox = gr.Checkbox(
label=day,
container=False,
scale=1,
min_width=25,
show_label=False
)
gr.Markdown(day, container=False)
checkboxes.append(checkbox)
# Progress and actions (right side)
with gr.Column(scale=3, min_width=150):
with gr.Row(equal_height=True, variant="compact"):
progress = gr.Textbox(
value="0%",
label="Progress",
interactive=False,
container=False,
scale=2
)
edit_btn = gr.Button("✏️", scale=1, min_width=30)
delete_btn = gr.Button("🗑️", scale=1, min_width=30)
# Connect edit button handler
def edit_habit(name, duration=None):
if duration is not None:
result = update_habit_name(habit, name, duration)
gr.Info(f"Updated: {name}")
return result
result = update_habit_name(habit, name)
gr.Info(f"Updated: {name}")
return result
edit_btn.click(
fn=edit_habit,
inputs=[name_edit] + ([duration_edit] if duration_edit else []),
outputs=[name_edit]
)
# Connect delete button handler
def delete_habit_fn(habit_name=habit):
"""Delete a habit and update the UI"""
try:
# 1. Delete from habits_config.json first
config_path = Path("habits_config.json")
if config_path.exists():
with open(config_path, 'r') as f:
config_data = json.load(f)
if "habits" in config_data:
if habit_name in config_data["habits"]:
config_data["habits"].remove(habit_name)
with open(config_path, 'w') as f:
json.dump(config_data, f, indent=2)
print(f"Removed {habit_name} from habits_config.json")
# 2. Update current daily data
current_data = load_daily_data()
if "habits" in current_data and habit_name in current_data["habits"]:
del current_data["habits"][habit_name]
save_daily_data(current_data)
print(f"Removed {habit_name} from current daily data")
# 3. Clean up historical data
json_files = list(DATA_DIR.glob("*.json"))
for file_path in json_files:
try:
with open(file_path, 'r') as f:
day_data = json.load(f)
if "habits" in day_data and habit_name in day_data["habits"]:
del day_data["habits"][habit_name]
with open(file_path, 'w') as f:
json.dump(day_data, f, indent=2)
print(f"Removed {habit_name} from {file_path}")
except Exception as e:
print(f"Error updating file {file_path}: {e}")
# Show success notification
gr.Info(f"Deleted: {habit_name}")
# Force reload habits from config
load_habits() # Reload habits to ensure sync
# Hide the row in UI
return gr.update(visible=False)
except Exception as e:
print(f"Error deleting habit: {e}")
gr.Warning(f"Failed to delete {habit_name}")
return gr.update()
# Connect delete button with proper output
delete_btn.click(
fn=delete_habit_fn,
outputs=row
)
# Update progress when checkboxes change
def make_progress_handler(current_habit):
"""Create a closure for the progress handler to capture the habit name"""
def update_progress_display(*checkbox_values):
"""Update progress display for a habit"""
completed = sum(1 for x in checkbox_values if x)
total = len(checkbox_values)
percentage = f"{(completed/total)*100:.1f}%" if total > 0 else "0%"
# Update the data
current_data = load_daily_data()
if current_habit in current_data["habits"]:
current_data["habits"][current_habit] = list(checkbox_values)
save_daily_data(current_data)
return percentage
return update_progress_display
# Connect checkbox handlers using closure
progress_handler = make_progress_handler(habit)
for checkbox in checkboxes:
checkbox.change(
fn=progress_handler,
inputs=checkboxes,
outputs=progress
)
def update_habit_name(old_name, new_name, duration=None):
"""Update habit name and optionally duration"""
if not new_name.strip():
return gr.update()
try:
# Format new name
new_full_name = new_name.strip()
if duration is not None:
new_full_name = f"{new_full_name} ({int(duration)}min)"
# Update habits configuration
current_habits = load_habits()
if old_name in current_habits:
current_habits.remove(old_name)
current_habits.append(new_full_name)
save_habits(current_habits)
# Update all daily files
update_all_daily_files(habit_to_rename=old_name, new_name=new_full_name)
# Return update for the textbox
return gr.update(value=new_full_name)
except Exception as e:
print(f"Error updating habit name: {e}")
gr.Warning(f"Failed to update {old_name}")
return gr.update()
def update_summary():
"""Update the weekly summary text"""
current_data = load_daily_data()
total_habits = len(current_data["habits"])
total_completed = sum(
sum(1 for x in habit_data if x)
for habit_data in current_data["habits"].values()
)
total_possible = total_habits * 7
completion_rate = (total_completed / total_possible * 100) if total_possible > 0 else 0
return f"""
- Total Habits: {total_habits}
- Completed Tasks: {total_completed}/{total_possible}
- Overall Completion Rate: {completion_rate:.1f}%
"""
def auto_refresh():
"""Auto refresh function to check and refresh day data"""
try:
current_data = load_daily_data()
current_data = check_and_refresh_day(current_data)
save_daily_data(current_data)
# Don't return anything
except Exception as e:
print(f"Error in auto refresh: {e}")
def update_all_daily_files(habit_to_remove=None, habit_to_rename=None, new_name=None):
"""Update all daily data files when habits are modified"""
try:
# Get all JSON files in the data directory
json_files = list(DATA_DIR.glob("*.json"))
for file_path in json_files:
try:
# Load the file
with open(file_path, 'r') as f:
data = json.load(f)
modified = False
# Handle habit removal
if habit_to_remove and habit_to_remove in data.get("habits", {}):
del data["habits"][habit_to_remove]
modified = True
# Handle habit renaming
if habit_to_rename and new_name and habit_to_rename in data.get("habits", {}):
data["habits"][new_name] = data["habits"].pop(habit_to_rename)
modified = True
# Save if modified
if modified:
with open(file_path, 'w') as f:
json.dump(data, f, indent=2, sort_keys=True)
except Exception as e:
print(f"Error updating file {file_path}: {e}")
continue
except Exception as e:
print(f"Error updating daily files: {e}")
def get_available_dates():
"""Get list of dates with existing data files"""
try:
json_files = sorted(DATA_DIR.glob("*.json"), reverse=True) # Most recent first
dates = [file.stem for file in json_files] # Get dates from filenames
return dates
except Exception as e:
print(f"Error getting available dates: {e}")
return [get_date_key()] # Return today's date as fallback
def refresh_dates():
"""Refresh the available dates in the dropdown"""
dates = get_available_dates()
return gr.update(choices=dates)
def load_selected_date_metrics(date):
"""Load metrics for the selected date"""
data = load_daily_data(date)
metrics = data.get("tracking_metrics", {
"productivity": 0,
"energy": 0,
"mood": 0,
"sleep_quality": 0,
"exercise_intensity": 0
})
return [
metrics["productivity"],
metrics["energy"],
metrics["mood"],
metrics["sleep_quality"],
metrics["exercise_intensity"]
]
def load_day_details(evt: gr.SelectData):
"""Load detailed view of a specific day"""
try:
# Get clicked date (remove the day of week if present)
date = evt.value[0].split(" (")[0] if isinstance(evt.value, list) else evt.value
data = load_daily_data(date)
# Ensure required data structures exist with defaults
if "focus" not in data:
data["focus"] = {
"priorities": [],
"later": [],
"priority_reward": "",
"later_reward": ""
}
if "meals" not in data:
data["meals"] = {
"breakfast": "",
"lunch": "",
"dinner": "",
"snacks": ""
}
# Ensure focus lists exist and are properly formatted
if not isinstance(data["focus"].get("priorities", []), list):
data["focus"]["priorities"] = []
if not isinstance(data["focus"].get("later", []), list):
data["focus"]["later"] = []
# Format metrics data
metrics_data = [
["Productivity", data.get("tracking_metrics", {}).get("productivity", 0)],
["Energy", data.get("tracking_metrics", {}).get("energy", 0)],
["Mood", data.get("tracking_metrics", {}).get("mood", 0)],
["Sleep Quality", data.get("tracking_metrics", {}).get("sleep_quality", 0)],
["Exercise Intensity", data.get("tracking_metrics", {}).get("exercise_intensity", 0)]
]
# Format habits data with proper validation
habits_data = []
habits_dict = data.get("habits", {})
# Load current habits configuration to ensure we show all configured habits
current_habits = load_habits()
# Create a row for each habit, using stored data if available or default values if not
for habit in current_habits:
status = habits_dict.get(habit, [False] * 7)
# Ensure status is a list of 7 boolean values
if not isinstance(status, list) or len(status) != 7:
status = [False] * 7
row = [habit]
row.extend(["✓" if done else "×" for done in status])
habits_data.append(row)
# Sort habits by category (morning, evening, flexible)
def get_habit_category(habit):
if any(x in habit.lower() for x in ["wake", "morning", "meditation", "brain", "walk"]):
return 0 # Morning
elif any(x in habit.lower() for x in ["evening", "massage", "learning", "journal", "guitar"]):
return 1 # Evening
return 2 # Flexible
habits_data.sort(key=lambda x: get_habit_category(x[0]))
# Format journal data with validation
journal_data = []
for q, a in data.get("journal", {}).items():
if isinstance(a, str):
if a.strip():
journal_data.append([q, a])
# Format focus and meals data with proper validation
priorities_text = "\n".join([
f"- {task[0]}: {task[1]}" if isinstance(task, list) and len(task) >= 2 else "- No task"
for task in data["focus"]["priorities"]
if isinstance(task, list) and len(task) >= 2 and task[0]
]) or "No priorities set"
later_text = "\n".join([
f"- {task[0]}: {task[1]}" if isinstance(task, list) and len(task) >= 2 else "- No task"
for task in data["focus"]["later"]
if isinstance(task, list) and len(task) >= 2 and task[0]
]) or "No tasks set"
focus_meals = f"""### 🎯 Focus Tasks
**Must Do Today:**
{priorities_text}
**For Later:**
{later_text}
### 🍽️ Meals
- **Breakfast:** {data["meals"].get("breakfast", "") or "Not recorded"}
- **Lunch:** {data["meals"].get("lunch", "") or "Not recorded"}
- **Dinner:** {data["meals"].get("dinner", "") or "Not recorded"}
- **Snacks:** {data["meals"].get("snacks", "") or "Not recorded"}
"""
return [
date, # Selected date
metrics_data, # Metrics view
habits_data, # Habits view
journal_data, # Journal view
focus_meals # Focus and meals view
]
except Exception as e:
print(f"Error loading details for date {date if 'date' in locals() else 'unknown'}: {str(e)}")
# Return a graceful fallback with empty/default values
return [
evt.value,
[["No metrics data available", 0]],
[["No habits data available", "×", "×", "×", "×", "×", "×", "×"]],
[["No journal entries available", ""]],
"""### 🎯 Focus Tasks\n\n**Must Do Today:**\nNo data available\n\n**For Later:**\nNo data available\n\n### 🍽️ Meals\nNo meal data available"""
]
def manual_save():
"""Manually save all current data"""
try:
current_data = load_daily_data()
save_daily_data(current_data)
return "✅ Data saved successfully!"
except Exception as e:
print(f"Error saving data: {e}")
return "❌ Error saving data"
def clean_json_file(file_path):
"""Clean up potentially corrupted JSON file"""
try:
with open(file_path, 'r') as f:
content = f.read().strip()
# Try to find the last valid JSON structure
try:
# First try to parse as-is
data = json.loads(content)
return data
except json.JSONDecodeError:
# If that fails, try to clean up the content
# Find the last closing brace
last_brace = content.rfind('}')
if last_brace != -1:
content = content[:last_brace + 1]
try:
data = json.loads(content)
# Save the cleaned data back to file
with open(file_path, 'w') as f:
json.dump(data, f, indent=2)
return data
except json.JSONDecodeError:
pass
# If all cleanup attempts fail, create new data
data = create_empty_daily_data()
with open(file_path, 'w') as f:
json.dump(data, f, indent=2)
return data
except Exception as e:
print(f"Error cleaning JSON file {file_path}: {e}")
return create_empty_daily_data()
with gr.Blocks() as demo:
# Load initial data
current_data = load_daily_data()
current_data = check_and_refresh_day(current_data)
# Centered, smaller logo
with gr.Row():
with gr.Column(scale=2):
pass # Empty column for spacing
with gr.Column(scale=1):
gr.Image("./logo.png", show_label=False, container=False, width=250, show_download_button=False, )
with gr.Column(scale=2):
pass # Empty column for spacing
with gr.Row():
date_text = gr.Textbox(
value=datetime.datetime.now().strftime("%A, %B %d"),
label="Date",
interactive=False
)
date_picker = gr.Dropdown(
choices=get_available_dates(),
value=get_date_key(),
label="Select Date",
interactive=True
)
today_btn = gr.Button("Return to Today")
refresh_dates_btn = gr.Button("🔄 Refresh Dates")
save_btn = gr.Button("💾 Save Data", variant="primary")
save_status = gr.Markdown(visible=True)
# Connect save button event
save_btn.click(
fn=manual_save,
outputs=save_status
).then(
lambda: gr.update(visible=True),
None,
save_status
)
# Create state for all components that need updating
with gr.Tabs():
# Must Do Daily Tab
with gr.TabItem("Must Do Daily"):
create_habit_section()
# Today's Focus Tab
with gr.TabItem("Today's Focus"):
with gr.Column():
gr.Markdown("### Today's Focus")
with gr.Row():
# Left column for priorities
with gr.Column(scale=2):
gr.Markdown("#### Must Do Today")
priorities = gr.Dataframe(
headers=["Task", "Status"],
datatype=["str", "str"],
value=current_data["focus"]["priorities"],
row_count=5, # Fixed number of rows
col_count=(2, "fixed"), # Fixed number of columns
interactive=True
)
priority_reward = gr.Textbox(
label="Reward for Completion",
value=current_data["focus"]["priority_reward"],
placeholder="Enter reward for completing priorities",
lines=2
)
# Right column for later tasks
with gr.Column(scale=2):
gr.Markdown("#### For Later")
later = gr.Dataframe(
headers=["Task", "Status"],
datatype=["str", "str"],
value=current_data["focus"]["later"],
row_count=5, # Fixed number of rows
col_count=(2, "fixed"), # Fixed number of columns
interactive=True
)
later_reward = gr.Textbox(
label="Reward for Completion",
value=current_data["focus"]["later_reward"],
placeholder="Enter reward for completing later tasks",
lines=2
)
# Event handlers
priorities.change(
lambda x: update_data("focus.priorities", x),
inputs=[priorities]
)
priority_reward.change(
lambda x: update_data("focus.priority_reward", x),
inputs=[priority_reward]
)
later.change(
lambda x: update_data("focus.later", x),
inputs=[later]
)
later_reward.change(
lambda x: update_data("focus.later_reward", x),
inputs=[later_reward]
)
# Meals Tab
with gr.TabItem("Meals"):
with gr.Column():
meal_inputs = {}
for meal in ["breakfast", "lunch", "dinner", "snacks"]:
meal_inputs[meal] = gr.Textbox(
label=meal.capitalize(),
value=current_data["meals"][meal],
placeholder=f"What did you have for {meal}?"
)
meal_inputs[meal].change(
lambda x, m=meal: update_data(f"meals.{m}", x),
inputs=[meal_inputs[meal]]
)
# Life Overview Tab
with gr.TabItem("Life Overview"):
with gr.Column():
gr.Markdown("""
### 🌟 Your Life Journey Calculator
Time is our most precious resource - not because it's limited, but because it's an opportunity for endless possibilities.
Let's explore your unique journey through time and discover the incredible potential that lies ahead.
""")
# Load saved config
user_config = load_user_config()
with gr.Row():
birth_date = gr.Textbox(
label="Your Birth Date (YYYY-MM-DD)",
value=user_config["birth_date"],
placeholder="YYYY-MM-DD"
)
birth_time = gr.Textbox(
label="Your Birth Time",
value=user_config["birth_time"],
placeholder="HH:MM (24-hour) or HH:MM AM/PM"
)
calculate_btn = gr.Button("✨ Calculate Your Life Journey", variant="primary")
# Add status message
status_msg = gr.Markdown()
with gr.Tabs():
with gr.TabItem("Life Stats"):
with gr.Row():
current_age_md = gr.Markdown()
time_remaining_md = gr.Markdown()
with gr.Row():
progress_md = gr.Markdown()
milestones_md = gr.Markdown()
with gr.TabItem("Visualizations"):
with gr.Row():
progress_plot = gr.Plot(label="Life Progress")
remaining_plot = gr.Plot(label="Time Until 90")
timeline_plot = gr.Plot(label="Life Seasons Timeline")
# Update the calculate button click handler
def update_stats_and_plots(birth_date_str, birth_time_str):
try:
# Save the values
if save_user_config(birth_date_str, birth_time_str):
stats = calculate_age_stats(birth_date_str, birth_time_str)
if "Error" in stats:
return [
f"⚠️ {stats['Error']}", "", "", "", None, None, None
]
figures = create_life_visualizations(stats)
current_age, time_remaining, progress, milestones = create_stats_display(stats)
return [
current_age,
time_remaining,
progress,
milestones,
figures["progress"],
figures["remaining"],
figures["timeline"]
]
else:
return ["⚠️ Failed to save configuration", "", "", "", None, None, None]
except Exception as e:
return [f"⚠️ Error: {str(e)}", "", "", "", None, None, None]
calculate_btn.click(
fn=update_stats_and_plots,
inputs=[birth_date, birth_time],
outputs=[
current_age_md,
time_remaining_md,
progress_md,
milestones_md,
progress_plot,
remaining_plot,
timeline_plot
]
)
# Progress Tracking Tab
with gr.TabItem("Progress Tracking"):
with gr.Column():
gr.Markdown("### Daily Metrics")
with gr.Row():
# Load data for the selected date
selected_data = load_daily_data(date_picker.value)
if "tracking_metrics" not in selected_data:
selected_data["tracking_metrics"] = {
"productivity": 0,
"energy": 0,
"mood": 0,
"sleep_quality": 0,
"exercise_intensity": 0
}
productivity = gr.Slider(minimum=0, maximum=5, value=selected_data["tracking_metrics"]["productivity"], label="Productivity", step=1)
energy = gr.Slider(minimum=0, maximum=5, value=selected_data["tracking_metrics"]["energy"], label="Energy Level", step=1)
mood = gr.Slider(minimum=0, maximum=5, value=selected_data["tracking_metrics"]["mood"], label="Mood", step=1)
sleep = gr.Slider(minimum=0, maximum=5, value=selected_data["tracking_metrics"]["sleep_quality"], label="Sleep Quality", step=1)
exercise = gr.Slider(minimum=0, maximum=5, value=selected_data["tracking_metrics"]["exercise_intensity"], label="Exercise Intensity", step=1)
gr.Markdown("### Weekly Overview")
week_data = load_week_data()
week_dates = get_week_dates()
weekly_grid = gr.DataFrame(
headers=["Metric"] + [datetime.datetime.strptime(date, "%Y-%m-%d").strftime("%a %d") for date in week_dates],
value=[
["Productivity"] + [week_data[date]["tracking_metrics"]["productivity"] for date in week_dates],
["Energy"] + [week_data[date]["tracking_metrics"]["energy"] for date in week_dates],
["Mood"] + [week_data[date]["tracking_metrics"]["mood"] for date in week_dates],
["Sleep"] + [week_data[date]["tracking_metrics"]["sleep_quality"] for date in week_dates],
["Exercise"] + [week_data[date]["tracking_metrics"]["exercise_intensity"] for date in week_dates]
],
interactive=False
)
gr.Markdown("### Monthly Stats")
month_data = load_month_data()
with gr.Row():
prod_label = gr.Label(f"Average Productivity: {calculate_success_rate(month_data, 'productivity')}/10")
energy_label = gr.Label(f"Average Energy: {calculate_success_rate(month_data, 'energy')}/10")
mood_label = gr.Label(f"Average Mood: {calculate_success_rate(month_data, 'mood')}/10")
sleep_label = gr.Label(f"Average Sleep: {calculate_success_rate(month_data, 'sleep_quality')}/10")
exercise_label = gr.Label(f"Average Exercise: {calculate_success_rate(month_data, 'exercise_intensity')}/10")
# Update tracking metrics and connect to UI elements
for slider in [productivity, energy, mood, sleep, exercise]:
slider.change(
fn=update_metrics,
inputs=[productivity, energy, mood, sleep, exercise, date_picker],
outputs=[
weekly_grid,
prod_label,
energy_label,
mood_label,
sleep_label,
exercise_label
]
)
# Journaling Tab
with gr.TabItem("Daily Journal"):
with gr.Column():
gr.Markdown("""
### 📝 Daily Reflection Journal
Take a moment to reflect on your day. These questions will help you process your experiences,
learn from them, and plan for tomorrow. Your responses are saved automatically.
""")
# Create journal entries
journal_inputs = {}
current_journal = current_data.get("journal", {})
for question in JOURNAL_QUESTIONS:
with gr.Group():
gr.Markdown(f"#### {question}")
journal_inputs[question] = gr.TextArea(
value=current_journal.get(question, ""),
placeholder="Write your thoughts here...",
lines=3,
label=""
)
# Add change handler for each text area
journal_inputs[question].change(
fn=update_journal_entry,
inputs=[
gr.State(question),
journal_inputs[question]
]
)
# Add export button
def export_journal():
current_data = load_daily_data()
if "journal" in current_data:
date = get_date_key()
export_text = f"Journal Entry for {date}\n\n"
for question in JOURNAL_QUESTIONS:
answer = current_data["journal"].get(question, "")
if answer: # Only include questions with answers
export_text += f"Q: {question}\n"
export_text += f"A: {answer}\n\n"
return export_text
return "No journal entries found for today."
with gr.Row():
export_btn = gr.Button("Export Journal Entry")
export_text = gr.TextArea(
label="Exported Journal",
interactive=False,
visible=False
)
export_btn.click(
fn=export_journal,
outputs=export_text,
show_progress=True
).then(
lambda: gr.update(visible=True),
None,
[export_text]
)
# History Tab
with gr.TabItem("History"):
with gr.Column():
gr.Markdown("### 📚 History Viewer")
# Create the history table
history_headers = [
"Date",
"Productivity",
"Energy",
"Mood",
"Sleep",
"Exercise",
"Habits",
"Journal"
]
with gr.Row():
history_table = gr.DataFrame(
headers=history_headers,
datatype=["str", "number", "number", "number", "number", "number", "str", "number"],
value=load_history_data(),
interactive=False
)
# Create detail view sections
with gr.Row():
selected_date = gr.Textbox(label="Selected Date", interactive=False)
refresh_btn = gr.Button("🔄 Refresh History")
with gr.Tabs() as detail_tabs:
with gr.TabItem("Metrics"):
metrics_view = gr.DataFrame(
headers=["Metric", "Value"],
datatype=["str", "number"],
interactive=False
)
with gr.TabItem("Habits"):
gr.Markdown("### Daily Habits Tracking")
habits_view = gr.DataFrame(
headers=["Habit", "M", "T", "W", "Th", "F", "S", "Su"],
datatype=["str", "str", "str", "str", "str", "str", "str", "str"],
interactive=False,
value=[[habit] + ["×"] * 7 for habit in load_habits()] # Initialize with default values
)
with gr.TabItem("Journal"):
journal_view = gr.DataFrame(
headers=["Question", "Response"],
datatype=["str", "str"],
interactive=False
)
with gr.TabItem("Focus & Meals"):
focus_meals_md = gr.Markdown()
# Connect event handlers
history_table.select(
fn=load_day_details,
outputs=[
selected_date,
metrics_view,
habits_view,
journal_view,
focus_meals_md
]
)
refresh_btn.click(
fn=load_history_data,
outputs=[history_table]
)
# Documentation Tab
with gr.TabItem("Documentation"):
with gr.Column():
gr.Markdown("""
# Potential Made Simple System Documentation
## Overview
Welcome to your Life Tracking System, inspired by Rob Dyrdek's "Rhythm of Existence" philosophy. This comprehensive app helps you monitor and optimize various aspects of your life, creating a harmonious balance between work, health, personal life, and sleep.
## Philosophy
The "Rhythm of Existence" philosophy, pioneered by entrepreneur Rob Dyrdek, emphasizes the importance of creating intentional, balanced routines that maximize both productivity and life satisfaction. Key principles include:
- **Intentional Living**: Every day is an opportunity to make progress towards your goals
- **Balance**: Maintaining equilibrium between work, health, relationships, and personal growth
- **Consistency**: Building sustainable habits that compound over time
- **Measurement**: What gets measured gets improved
- **Reflection**: Regular review and adjustment of life patterns
## Features
### 1. Must Do Daily
- Track daily habits and routines
- Organize tasks into morning, evening, and flexible time slots
- Monitor weekly progress and completion rates
- Set custom durations for time-based activities
### 2. Today's Focus
- Prioritize tasks with "Must Do Today" and "For Later" lists
- Set rewards for completing priority tasks
- Track task status and progress
- Maintain clarity on daily objectives
### 3. Meals
- Log daily meals and snacks
- Monitor eating patterns
- Track nutritional consistency
### 4. Life Overview
- Calculate and visualize your life journey
- Track progress through different life seasons
- Set and monitor life milestones
- Understand time allocation and remaining potential
### 5. Progress Tracking
- Monitor daily metrics:
- Productivity (0-5)
- Energy Level (0-5)
- Mood (0-5)
- Sleep Quality (0-5)
- Exercise Intensity (0-5)
- View weekly and monthly trends
- Track success rates and improvements
### 6. Daily Journal
- Reflect on daily experiences
- Answer guided questions for deeper insight
- Export journal entries for review
- Build self-awareness through consistent reflection
### 7. History
- Review past data and trends
- Analyze patterns in habits and metrics
- Track long-term progress
- Learn from historical patterns
## Best Practices
1. **Morning Routine**
- Start with mindfulness and exercise
- Review daily priorities
- Set intentions for the day
2. **Throughout the Day**
- Update task status regularly
- Log meals as they happen
- Track metrics while they're fresh
3. **Evening Routine**
- Complete journal entries
- Review task completion
- Plan for tomorrow
4. **Weekly Review**
- Analyze progress trends
- Adjust habits as needed
- Set new goals and rewards
## Tips for Success
1. **Start Small**
- Begin with a few key habits
- Gradually add more as you build consistency
- Focus on progress, not perfection
2. **Be Consistent**
- Log data daily
- Complete journal entries regularly
- Track metrics consistently
3. **Review and Adjust**
- Use the History tab to spot patterns
- Adjust goals based on progress
- Celebrate improvements
4. **Stay Motivated**
- Set meaningful rewards
- Track progress visually
- Share achievements with others
## Technical Notes
- Data is saved automatically
- Manual save option available
- Export functionality for journal entries
- Daily refresh at midnight
- Ability to view and edit past dates
## Support and Feedback
This is a free tool designed to help you optimize your life and create your own perfect rhythm of existence. As you use the app, remember that the goal is progress, not perfection. Every small improvement compounds over time to create significant life changes.
For support or to share feedback, please visit the project's repository or contact the development team.
Happy tracking! 🌟
""")
# Date selection handlers
def load_selected_date(date):
try:
# Validate date format
datetime.datetime.strptime(date, "%Y-%m-%d")
data = load_daily_data(date)
# Update display date
display_date = datetime.datetime.strptime(date, "%Y-%m-%d").strftime("%A, %B %d")
# Update journal entries if they exist
journal_updates = []
for question in JOURNAL_QUESTIONS:
journal_updates.append(data.get("journal", {}).get(question, ""))
return [display_date] + journal_updates
except ValueError:
return [date_text.value] + ["" for _ in JOURNAL_QUESTIONS]
def return_to_today():
today = get_date_key()
date_picker.value = today
return [today, datetime.datetime.now().strftime("%A, %B %d")]
# Connect date selection events
date_picker.change(
fn=load_selected_date,
inputs=[date_picker],
outputs=[date_text] + list(journal_inputs.values())
)
today_btn.click(
fn=return_to_today,
outputs=[date_picker, date_text]
)
# Auto-refresh every minute
def auto_refresh():
"""Auto refresh function to check and refresh day data"""
try:
current_data = load_daily_data()
current_data = check_and_refresh_day(current_data)
save_daily_data(current_data)
except Exception as e:
print(f"Error in auto refresh: {e}")
demo.load(fn=auto_refresh) # No outputs needed
demo.queue()
# Connect the date selection events
date_picker.change(
fn=load_selected_date_metrics,
inputs=[date_picker],
outputs=[productivity, energy, mood, sleep, exercise]
)
refresh_dates_btn.click(
fn=refresh_dates,
outputs=[date_picker]
)
demo.launch() |