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"""
Per Diem / Leave Start Date Calculator (Form e49)

Reserve members accrue leave at 2.5 days per month of service (per the
official "Leave Accrual to Date of Separation" chart), and take that
leave during the final days of the deployment, so the last day of leave
equals the end date on their orders.

Given the FIRST and LAST day of the deployment, this app:
  1. Looks up how much leave was earned over that span, using the same
     day-of-month / month accrual logic as the official chart (in 0.5-day
     increments).
  2. Truncates that to a whole number of usable days (leave can only
     actually be taken in whole days β€” e.g. 1.5 earned days means only
     1 day can be taken).
  3. Adds one bonus day if the deployment end date falls on a weekend or
     federal holiday (existing rule, unchanged from the original app).
  4. Reports the leave start date, so the last day of leave still equals
     the deployment end date.

--- IMPORTANT ASSUMPTION ABOUT THE ACCRUAL CHART ---
The official chart is expressed relative to the start of the fiscal/leave
year (Oct 1) and its values reset to ~0 every October. Real leave accrual
does NOT actually reset mid-deployment β€” it just keeps accumulating at a
constant 2.5 days/month. Since 6-month deployments routinely cross an
Oct 1 boundary, this app reproduces the chart's exact day-of-month /
month-of-year logic (verified to match the chart's printed values
exactly within any single fiscal year), but does NOT hard-reset the
counter at each Oct 1 β€” leave earned is simply
(accrual value at end date) - (accrual value at start date).
If your unit's actual policy is that leave literally zeroes out every
Oct 1 even mid-deployment, this calculation will need to change β€”
flag it and it can be adjusted to hard-reset instead.

Usage tracking: every time someone clicks "Calculate", a timestamped
row is appended to a log file in a separate Hugging Face dataset repo
(Emfin2429/usesOfLeaveDates). This means the count survives this Space
sleeping, restarting, or being rebuilt, since the log lives in a
different repo than the Space itself.
"""

import gradio as gr
import holidays
import os
import tempfile
from datetime import date, datetime, timedelta
from huggingface_hub import HfApi, hf_hub_download
from huggingface_hub.utils import EntryNotFoundError

US_HOLIDAYS = holidays.US()

# --- Usage tracking config ---
USAGE_DATASET_REPO = "Emfin2429/usesOfLeaveDates"
USAGE_LOG_FILENAME = "usage_log.csv"
HF_TOKEN = os.environ.get("HF_TOKEN")


def log_usage():
    """
    Append a timestamped row to the usage log dataset on the Hub.
    Best-effort: if this fails for any reason (no token, network issue,
    rate limit, etc.), it should never break the calculator for the user.
    """
    if not HF_TOKEN:
        print("HF_TOKEN not set β€” skipping usage logging.")
        return

    try:
        api = HfApi(token=HF_TOKEN)

        # Try to pull down the existing log so we can append to it.
        try:
            existing_path = hf_hub_download(
                repo_id=USAGE_DATASET_REPO,
                repo_type="dataset",
                filename=USAGE_LOG_FILENAME,
                token=HF_TOKEN,
            )
            with open(existing_path, "r", encoding="utf-8") as f:
                existing_content = f.read()
        except EntryNotFoundError:
            # First-ever use: no log file yet, start a fresh one with a header.
            existing_content = "timestamp_utc\n"

        new_row = f"{datetime.utcnow().isoformat()}\n"
        updated_content = existing_content + new_row

        with tempfile.NamedTemporaryFile(
            mode="w", suffix=".csv", delete=False, encoding="utf-8"
        ) as tmp:
            tmp.write(updated_content)
            tmp_path = tmp.name

        api.upload_file(
            path_or_fileobj=tmp_path,
            path_in_repo=USAGE_LOG_FILENAME,
            repo_id=USAGE_DATASET_REPO,
            repo_type="dataset",
            commit_message="Log calculator use",
        )
        os.remove(tmp_path)

    except Exception as e:
        # Never let logging errors break the actual calculator.
        print(f"Usage logging failed: {e}")


def is_holiday(d: date) -> bool:
    """Return True if d is a US federal holiday."""
    return d in US_HOLIDAYS


def is_weekend(d: date) -> bool:
    """Return True if d is a Saturday or Sunday."""
    return d.weekday() >= 5


# --- Leave accrual chart logic ---
#
# The official "Leave Accrual to Date of Separation" table earns 2.5 days
# per calendar month, subdivided into five 0.5-day steps per month based
# on which 6-day bucket the day-of-month falls into:
#   days 1-6   -> +0.5   (bucket 1)
#   days 7-12  -> +1.0   (bucket 2)
#   days 13-18 -> +1.5   (bucket 3)
#   days 19-24 -> +2.0   (bucket 4)
#   days 25-31 -> +2.5   (bucket 5, i.e. the full month)
#
# So within any month, accrued-since-start-of-month = bucket * 0.5, and
# each full elapsed calendar month is worth a flat 2.5 days on top of that.


def _day_bucket(day_of_month: int) -> int:
    """Map a day-of-month (1-31) to its 6-day accrual bucket (1-5)."""
    if day_of_month <= 6:
        return 1
    elif day_of_month <= 12:
        return 2
    elif day_of_month <= 18:
        return 3
    elif day_of_month <= 24:
        return 4
    else:
        return 5  # 25-31 (or 25-28/29/30 for shorter months)


def _accrual_value(d: date) -> float:
    """
    A running accrual "odometer" value for date d: increases by 2.5 for
    every full calendar month, plus the partial-month bucket amount.
    This is anchored to an arbitrary fixed point (not Oct 1 of any
    particular year), which is fine because only *differences* between
    two of these values are ever used β€” the anchor cancels out.
    """
    absolute_month_index = d.year * 12 + (d.month - 1)
    return absolute_month_index * 2.5 + _day_bucket(d.day) * 0.5


def earned_leave_days(deployment_start: date, deployment_end: date) -> float:
    """
    Days of leave earned over the deployment, per the accrual chart,
    rounded to the nearest 0.5 to avoid floating point drift.
    """
    raw = _accrual_value(deployment_end) - _accrual_value(deployment_start)
    return round(raw * 2) / 2


def calc_leave_plan(deployment_start: date, deployment_end: date) -> dict:
    """
    Given the deployment's first and last day, compute:
      - earned: raw leave earned (chart lookup, in 0.5-day increments)
      - usable: whole days actually usable (earned, truncated down)
      - exception: whether the end date is a weekend/holiday bonus day
      - total_days: usable days actually taken (usable + bonus day if any)
      - leave_start: first day of leave (last day is always deployment_end)
    """
    earned = earned_leave_days(deployment_start, deployment_end)
    usable = int(earned)  # whole days only; e.g. 1.5 -> 1 (earned is always >= 0)

    exception = is_weekend(deployment_end) or is_holiday(deployment_end)
    total_days = usable + (1 if exception else 0)

    leave_start = deployment_end - timedelta(days=max(total_days - 1, 0))

    return {
        "earned": earned,
        "usable": usable,
        "exception": exception,
        "total_days": total_days,
        "leave_start": leave_start,
        "leave_end": deployment_end,
    }


def _parse_date_input(value):
    """
    gr.DateTime can hand back either a datetime object, a string, or a
    numeric timestamp depending on how the value was set, so handle all
    three defensively.
    """
    if value is None:
        return None
    if isinstance(value, str):
        return datetime.strptime(value.split(" ")[0], "%Y-%m-%d").date()
    if isinstance(value, (int, float)):
        return datetime.fromtimestamp(value).date()
    return value.date()


def submit_leave_dates(deployment_start_input, deployment_end_input):
    deployment_start = _parse_date_input(deployment_start_input)
    deployment_end = _parse_date_input(deployment_end_input)

    if deployment_start is None or deployment_end is None:
        return "Please select both a deployment start date and end date."

    if deployment_end < deployment_start:
        return "The deployment end date can't be before the start date."

    plan = calc_leave_plan(deployment_start, deployment_end)

    if plan["total_days"] <= 0:
        return (
            f"Based on a deployment from {deployment_start:%B %d, %Y} to "
            f"{deployment_end:%B %d, %Y}, you earned {plan['earned']:g} days "
            "of leave β€” not enough to take a full day off."
        )

    reason = []
    if is_weekend(deployment_end):
        reason.append("your end date falls on a weekend")
    if is_holiday(deployment_end):
        reason.append("your end date is a federal holiday")
    extra_note = (
        f" You get one extra day of leave because {' and '.join(reason)}, "
        f"for {plan['total_days']} total days off."
        if plan["exception"]
        else ""
    )

    # Log this use (best-effort, won't block or break the result).
    log_usage()

    return (
        f"Based on a deployment from {deployment_start:%B %d, %Y} to "
        f"{deployment_end:%B %d, %Y}, you earned {plan['earned']:g} days of "
        f"leave. Since leave can only be taken in whole days, you can use "
        f"{plan['usable']} day(s).{extra_note}\n\n"
        f"Your leave starts on {plan['leave_start']:%B %d, %Y} "
        f"and ends on {plan['leave_end']:%B %d, %Y}."
    )


with gr.Blocks(title="Leave Start Date Calculator") as app:
    gr.Markdown(
        "# Leave Start Date Calculator\n"
        "Enter the **first and last day of your deployment** to see how "
        "much leave you earned and when it starts. Your last day of leave "
        "will always be your deployment's end date."
    )
    with gr.Row():
        start_input = gr.DateTime(
            label="First day of deployment",
            include_time=False,
            type="datetime",
        )
        end_input = gr.DateTime(
            label="Last day of deployment (Form e49 end date)",
            include_time=False,
            type="datetime",
        )
    submit_btn = gr.Button("Calculate", variant="primary")
    output = gr.Textbox(label="Result", interactive=False, lines=4)

    submit_btn.click(
        fn=submit_leave_dates, inputs=[start_input, end_input], outputs=output
    )
    end_input.submit(
        fn=submit_leave_dates, inputs=[start_input, end_input], outputs=output
    )


if __name__ == "__main__":
    app.launch()