(20260210) Made a faster way to loop through the attendance records in one go to compute the work done.

This commit is contained in:
2026-02-10 13:34:04 +05:30
parent 2484c86d95
commit 3b9621f80e
3 changed files with 222 additions and 121 deletions
+219 -119
View File
@@ -60,7 +60,7 @@ from utils_v2.string import regex
from utils_v2.date_time import date_time
# To work with datatypes:
from typing import List, Dict, Any
from typing import List, Dict, Any, Union
from collections import defaultdict
# To run a cron-like scheduler:
@@ -253,137 +253,237 @@ def get_in_out_summary(
# ---------------------------------------------------------------------------------------------------------------------
def compute_work_done(
in_out_df: pd.DataFrame
) -> List[Dict[str, Union[str, int, float, None]]]:
# Create the structure that will be given as the output:
flattened_work_reports = []
# Create an internal dict with the structure:
# work_reports["user"]["date"] = {...}
work_reports = defaultdict(lambda: defaultdict(dict))
# Loop through the full DataFrame once,
# and figure out the first in and last out times:
for index, row in in_out_df.iterrows():
# Extract user and date:
user_id = row["User ID"]
punch_dt = date_time.parse_date_time(row["Punch Time"], timezone = date_time.TIMEZONE_IST)
punch_date = punch_dt.strftime("%Y-%m-%d")
punch_ts = punch_dt.timestamp()
# Handle the first in time:
if row["I/O Type"] == "In":
if work_reports[user_id][punch_date].get("first_in") is None:
work_reports[user_id][punch_date]["first_in"] = punch_ts
# Handle the last out time:
if row["I/O Type"] == "Out":
if work_reports[user_id][punch_date].get("first_in") is not None:
work_reports[user_id][punch_date]["last_out"] = punch_ts
# Now use the first_in and last out times of each record to figure out the amount of work done:
for user_id, user_reports in work_reports.items():
for punch_date, punch_info in user_reports.items():
# Some defaults:
min_work_seconds = 10.0 * 60.0 * 60.0
work_seconds = 0.0
work_ot_seconds = 0.0
work_status = "A"
# Extract, clean and compute punch timing:
first_in = punch_info.get("first_in")
last_out = punch_info.get("last_out")
# When the user has a valid in-time, but no known out time,
# we assume that he worked a full day:
if first_in is not None and not last_out:
last_out = first_in + min_work_seconds
work_seconds = last_out - first_in
work_ot_seconds = 0.0
# When the user has neither an in-time, nor an out-time,
# we assume that he was absent the whole day:
elif not first_in and not last_out:
work_seconds = 0.0
work_ot_seconds = 0.0
# When we have both - an in-time and an out-time - we compute the work done.
# Any work over 10 hours will be counted as overtime:
elif first_in and last_out:
work_seconds = last_out - first_in
work_ot_seconds = max(0.0, work_seconds - min_work_seconds)
# Finally, compute the work status.
# 'A' --> Absent
# 'H' --> Half Day
# 'P' --> Present (Full Day)
# 'OT' -> Overtime
work_hours = work_seconds / (60 * 60)
if work_hours > 10.0: work_status = "OT"
elif 7.5 < work_hours <= 10.0: work_status = "P"
elif 2.5 < work_hours <= 5.0: work_status = "H"
else: work_status = "A"
# Save the data:
flattened_work_reports.append({
"user_id": user_id,
"work_date": punch_date,
"first_in": first_in,
"last_out": last_out,
"work_seconds": work_seconds,
"work_ot_seconds": work_ot_seconds,
"work_hours": work_hours,
"work_status": work_status,
})
# Done here:
return flattened_work_reports
# ---------------------------------------------------------------------------------------------------------------------
async def sync_attendance_to_tcaoff(
tcaoff_client: AsyncTheCAOffice,
cosec_in_out_summary: dict,
verbose: bool = False
) -> Dict[str, int]:
# Get the list of existing team members from TCAOFF:
# NOTE: `pseudonym` is the unique username of the user.
tcaoff_teams = await tcaoff_client.team_list()
# print("TCAOFF TEAMS:", json.to_string(tcaoff_teams))
# Get a mapping from Cosec id to TCAOFF record:
cosec_id_to_tcaoff_team = {}
for t in tcaoff_teams:
app_notes = json.from_string(t["json_notes"]).get("applicantNotes", {})
if isinstance(app_notes, str): app_notes = json.from_string(app_notes)
if not app_notes: continue
cosec_notes = app_notes.get("cosec", {})
if not cosec_notes: continue
print("Cosec Notes:", cosec_notes)
cosec_id_to_tcaoff_team[cosec_notes.get("User ID") or cosec_notes.get("UserID")] = t
# print("COSEC to TCAOFF TEAMS:", json.to_string(cosec_id_to_tcaoff_team))
# # Get the list of existing team members from TCAOFF:
# # NOTE: `pseudonym` is the unique username of the user.
# tcaoff_teams = await tcaoff_client.team_list()
# # print("TCAOFF TEAMS:", json.to_string(tcaoff_teams))
#
# # Get a mapping from Cosec id to TCAOFF record:
# cosec_id_to_tcaoff_team = {}
# for t in tcaoff_teams:
# app_notes = json.from_string(t["json_notes"]).get("applicantNotes", {})
# if isinstance(app_notes, str): app_notes = json.from_string(app_notes)
# if not app_notes: continue
# cosec_notes = app_notes.get("cosec", {})
# if not cosec_notes: continue
# print("Cosec Notes:", cosec_notes)
# cosec_id_to_tcaoff_team[cosec_notes.get("User ID") or cosec_notes.get("UserID")] = t
# # print("COSEC to TCAOFF TEAMS:", json.to_string(cosec_id_to_tcaoff_team))
# Convert the data to a DataFrame:
in_out_df = pd.DataFrame(cosec_in_out_summary["report"])
# in_out_df["Punch Time"] = pd.to_datetime(in_out_df["Punch Time"], unit = "s", utc = True).dt.tz_convert("Asia/Kolkata")
print(in_out_df)
in_out_df.info()
# Convert the dt column to actual dt objects and apply the timezone on them,
# then enlist the unique dates:
in_out_df["Punch Time"] = pd.to_datetime(in_out_df["Punch Time"], unit = "s", utc = True).dt.tz_convert("Asia/Kolkata")
unique_dates = sorted(in_out_df['Punch Time'].dt.date.unique())
print(f"UNIQUE DATES ({len(unique_dates)}):", unique_dates)
# Compute the work done:
work_reports = compute_work_done(in_out_df)
print("WORK REPORTS:", work_reports)
print("WORK REPORTS:", json.to_string(work_reports))
# Get the unique user ids:
unique_cosec_user_ids = in_out_df["User ID"].unique().tolist()
print(f"UNIQUE USER IDS ({len(unique_cosec_user_ids)}):", unique_cosec_user_ids)
# We will create all async. tasks for firing attendance marking:
tasks = []
# For every user:
for user_count, cosec_user_id in enumerate(unique_cosec_user_ids):
# Debugging:
now_time = date_time.get_current_date_time(as_string = True)
printer("Cosec User:", cosec_user_id, user_count, now_time)
# Find the equivalent TCAOFF team member record:
tcaoff_team = cosec_id_to_tcaoff_team.get(cosec_user_id)
if tcaoff_team is None:
print(f"TCAOFF SYNC ERR: Cosesc User Id '{cosec_user_id}' not found in TCAOFF")
continue
# For every date:
for work_dt in unique_dates:
# Fetch only the successful events:
user_allowed_events = in_out_df[
(in_out_df["User ID"] == cosec_user_id) &
(in_out_df["Event Status"] == "Allowed") &
(in_out_df["Punch Time"].dt.date == work_dt)
]
# Debugging:
weekday = work_dt.weekday() + 1 # ... 1 = Monday, 7 = Sunday
events = len(user_allowed_events)
if verbose: printer(cosec_user_id, work_dt, weekday, events)
# Check if the summary is empty:
if user_allowed_events.empty:
if verbose: printer("Nothing to sync.", cosec_user_id, work_dt, weekday, events)
continue
# We note down the first "In" time of the user
# and the last "Out" time of the user:
first_in = None
last_out = None
for idx, row in user_allowed_events.iterrows():
# print(f"{row['I/O Type']: >4} at row: {idx: <5} | ts: {row['Punch Time']: <15} | dt: {date_time.parse_date_time(row['Punch Time'])}")
if row["I/O Type"] == "In" and first_in is None: first_in = row["Punch Time"].timestamp()
if row["I/O Type"] == "Out" and first_in is not None: last_out = row["Punch Time"].timestamp()
# Figure out the worked time:
if first_in is None and last_out is None:
time_worked = {
"work_seconds": 0.0,
"work_date": work_dt
}
elif first_in is None or last_out is None:
time_worked = {
"work_seconds": 60 * 60 * 10.0, # ... 10 hours represented in seconds.
"work_date": work_dt
}
else:
time_worked = {
"work_seconds": last_out - first_in,
"work_date": work_dt
}
# Figure out the number of hours worked:
hours_worked = time_worked["work_seconds"] / (60.0 * 60.0)
if hours_worked > 10.0: status = "OT"
elif 7.5 < hours_worked <= 10.0: status = "P"
elif 2.5 < hours_worked <= 5.0: status = "H"
else: status = "A"
# Create this TCAOFF task:
task = tcaoff_client.attendance_mark(
user_id = tcaoff_team["user_id"],
status = status,
over_time = max(0.0, hours_worked - 10.0),
attendance_date = time_worked["work_date"].strftime("%Y-%m-%d"),
json_notes = {
"totHours": hours_worked,
"firstIn": first_in,
"lastOut": last_out,
}
)
tasks.append(task)
# break
print("TASK COUNT:", len(tasks))
# Now we fire all the tasks:
now_time = date_time.get_current_date_time(as_string = True)
printer("Marking Attendance", len(tasks), now_time)
results = await asyncio.gather(*tasks)
now_time = date_time.get_current_date_time(as_string = True)
printer("Marked Attendance", len(tasks), now_time, results)
# # Convert the dt column to actual dt objects and apply the timezone on them,
# # then enlist the unique dates:
# in_out_df["Punch Time"] = pd.to_datetime(in_out_df["Punch Time"], unit = "s", utc = True).dt.tz_convert("Asia/Kolkata")
# unique_dates = sorted(in_out_df['Punch Time'].dt.date.unique())
# print(f"UNIQUE DATES ({len(unique_dates)}):", unique_dates)
#
# # Get the unique user ids:
# unique_cosec_user_ids = in_out_df["User ID"].unique().tolist()
# print(f"UNIQUE USER IDS ({len(unique_cosec_user_ids)}):", unique_cosec_user_ids)
#
# # We will create all async. tasks for firing attendance marking:
# tasks = []
#
# # For every user:
# for user_count, cosec_user_id in enumerate(unique_cosec_user_ids):
#
# # Debugging:
# now_time = date_time.get_current_date_time(as_string = True)
# printer("Cosec User:", cosec_user_id, user_count, now_time)
#
# # Find the equivalent TCAOFF team member record:
# tcaoff_team = cosec_id_to_tcaoff_team.get(cosec_user_id)
# if tcaoff_team is None:
# print(f"TCAOFF SYNC ERR: Cosesc User Id '{cosec_user_id}' not found in TCAOFF")
# continue
#
# # For every date:
# for work_dt in unique_dates:
#
# # Fetch only the successful events:
# user_allowed_events = in_out_df[
# (in_out_df["User ID"] == cosec_user_id) &
# (in_out_df["Event Status"] == "Allowed") &
# (in_out_df["Punch Time"].dt.date == work_dt)
# ]
#
# # Debugging:
# weekday = work_dt.weekday() + 1 # ... 1 = Monday, 7 = Sunday
# events = len(user_allowed_events)
# if verbose: printer(cosec_user_id, work_dt, weekday, events)
#
# # Check if the summary is empty:
# if user_allowed_events.empty:
# if verbose: printer("Nothing to sync.", cosec_user_id, work_dt, weekday, events)
# continue
#
# # We note down the first "In" time of the user
# # and the last "Out" time of the user:
# first_in = None
# last_out = None
# for idx, row in user_allowed_events.iterrows():
# # print(f"{row['I/O Type']: >4} at row: {idx: <5} | ts: {row['Punch Time']: <15} | dt: {date_time.parse_date_time(row['Punch Time'])}")
# if row["I/O Type"] == "In" and first_in is None: first_in = row["Punch Time"].timestamp()
# if row["I/O Type"] == "Out" and first_in is not None: last_out = row["Punch Time"].timestamp()
#
# # Figure out the worked time:
# if first_in is None and last_out is None:
# time_worked = {
# "work_seconds": 0.0,
# "work_date": work_dt
# }
# elif first_in is None or last_out is None:
# time_worked = {
# "work_seconds": 60 * 60 * 10.0, # ... 10 hours represented in seconds.
# "work_date": work_dt
# }
# else:
# time_worked = {
# "work_seconds": last_out - first_in,
# "work_date": work_dt
# }
#
# # Figure out the number of hours worked:
# hours_worked = time_worked["work_seconds"] / (60.0 * 60.0)
# if hours_worked > 10.0: status = "OT"
# elif 7.5 < hours_worked <= 10.0: status = "P"
# elif 2.5 < hours_worked <= 5.0: status = "H"
# else: status = "A"
#
# # Create this TCAOFF task:
# task = tcaoff_client.attendance_mark(
# user_id = tcaoff_team["user_id"],
# status = status,
# over_time = max(0.0, hours_worked - 10.0),
# attendance_date = time_worked["work_date"].strftime("%Y-%m-%d"),
# json_notes = {
# "totHours": hours_worked,
# "firstIn": first_in,
# "lastOut": last_out,
# }
# )
# tasks.append(task)
#
# # break
#
# print("TASK COUNT:", len(tasks))
#
# # Now we fire all the tasks:
# now_time = date_time.get_current_date_time(as_string = True)
# printer("Marking Attendance", len(tasks), now_time)
# results = await asyncio.gather(*tasks)
# now_time = date_time.get_current_date_time(as_string = True)
# printer("Marked Attendance", len(tasks), now_time, results)
# *****************************************************************************************************************
+2 -1
View File
@@ -154,7 +154,7 @@ async def yesterday_cron(
# If something goes wrong in the COSEC step:
except Exception as exception:
err_printer(exception)
raise
if test_mode: raise
# Log out of TCAOFF:
success = await tcaoff_client.logout()
@@ -164,6 +164,7 @@ async def yesterday_cron(
except Exception as exception:
err_printer(exception)
await tcaoff_client.logout()
if test_mode: raise
# ---------------------------------------------------------------------------------------------------------------------