(20251122) Reformatted the muster roll data to return only unique combinations to reduce the load on the frontend.
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@@ -123,6 +123,16 @@ def init(blueprint_setup_state):
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# ---------------------------------------------------------------------------------------------------------------------
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async def close_browser() -> None:
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current_app.printer("Closing failed browser session.")
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current_app.cosec.quit()
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current_app.printer("Cleanup attempt completed.")
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# ---------------------------------------------------------------------------------------------------------------------
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@muster_roll_report_bp.route("/generate", methods = ["GET"])
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@set_api_version(api_version = "1.0.0")
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@read_input(sanitize_headers = False, sanitize_data = False)
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@@ -142,7 +152,9 @@ def init(blueprint_setup_state):
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header_validator = lambda x: SimpleCosecCredentialsHeaders(**x),
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data_validator = lambda x: CosecMusterRollReportRequestData(**x)
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)
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@handle_cancelled_request()
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@handle_cancelled_request(
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cleanup_coro = close_browser
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)
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async def muster_roll_report_generate(
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inbound_headers: SimpleCosecCredentialsHeaders | dict = None,
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inbound_data: CosecMusterRollReportRequestData | dict = None,
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@@ -174,7 +186,21 @@ async def muster_roll_report_generate(
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# If data was loaded:
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if report_data is not None:
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report_data = report_data.to_dict(orient = "records")
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report_data = report_data.copy()
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report_data = report_data[[
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"User ID", "User Name", "Category Name",
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"Grade Name", "Branch Name", "Department Name",
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"Direct Reporting", "Level-1"
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]]
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unique_branches = report_data["Branch Name"].unique().tolist()
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unique_depts = report_data[["Branch Name", "Department Name"]].drop_duplicates().to_dict(orient = "records")
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unique_reportees = report_data[["Branch Name", "Department Name", "Direct Reporting"]].drop_duplicates().to_dict(orient = "records")
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unique_combos = {
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"Branch Name": unique_branches,
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"Department Name": unique_depts,
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"Direct Reporting": unique_reportees
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}
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report_data = unique_combos
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success = True
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# ┳┓
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@@ -124,7 +124,7 @@ def load_from_cosec(
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masters_dir = os.path.join(base_dir, r"masters")
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# Create an instance of the automation object:
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cosec = CosecWeb(
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current_app.cosec = CosecWeb(
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cosec_url = cosec_url,
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username = username,
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password = password,
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@@ -134,10 +134,10 @@ def load_from_cosec(
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)
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# Perform the login:
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cosec.login(initial_sleep = 2.5)
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current_app.cosec.login(initial_sleep = 2.5)
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# Get the in/out report:
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report_path = cosec.get_muster_roll(
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report_path = current_app.cosec.get_muster_roll(
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initial_sleep = 1.0,
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on_date = on_date or date_time.get_current_utc_date_time(),
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group_ids = group_ids,
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@@ -145,10 +145,10 @@ def load_from_cosec(
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)
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# Log out to end the cycle:
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cosec.logout()
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current_app.cosec.logout()
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# Close the browser window:
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cosec.quit()
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current_app.cosec.quit()
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# If we didn't get any path, the download failed:
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if report_path is None:
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@@ -158,7 +158,7 @@ def load_from_cosec(
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# Else, we parse the data and hold it:
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else:
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current_app.printer("Fetched Muster Roll.")
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report_df = cosec.read_muster_roll_xls(report_path)
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report_df = current_app.cosec.read_muster_roll_xls(report_path)
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report_df = report_df[[
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"User ID", "User Name", "Category Name",
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"Grade Name", "Branch Name", "Department Name",
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+15
-5
@@ -47,6 +47,7 @@ import datetime
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import pandas as pd
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# My utils:
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from utils_v2.string import json
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from utils_v2.system import files
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from utils_v2.system import pfinfo
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@@ -1247,17 +1248,26 @@ if __name__ == "__main__":
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# )
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#
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# Convert the Muster Roll to a Pandas DF:
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muster_roll_path = r"D:\kps\PycharmProjects\cosec\downloads\Monthly_Details.xls"
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muster_roll_path = r"D:\kps\PycharmProjects\cosec\cosec_web\sample_files\muster_roll.xls"
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muster_roll_df = CosecWeb.read_muster_roll_xls(muster_roll_path)
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muster_roll_df = muster_roll_df[[
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"User ID", "User Name", "Category Name",
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"Grade Name", "Branch Name", "Department Name",
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"Direct Reporting", "Level-1"
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]]
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muster_roll_df = muster_roll_df[:35]
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print(muster_roll_df.to_string())
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print("\n\n---\n\n")
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print(muster_roll_df.info())
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muster_roll_df = muster_roll_df[:20]
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# print(muster_roll_df.to_string())
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# print("\n\n---\n\n")
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# print(muster_roll_df.info())
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unique_branches = muster_roll_df["Branch Name"].unique().tolist()
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unique_depts = muster_roll_df[["Branch Name", "Department Name"]].drop_duplicates().to_dict(orient = "records")
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unique_reportees = muster_roll_df[["Branch Name", "Department Name", "Direct Reporting"]].drop_duplicates().to_dict(orient = "records")
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unique_combos = {
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"Branch Name": unique_branches,
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"Department Name": unique_depts,
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"Direct Reporting": unique_reportees
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}
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print("UNIQUE COMBOS:", json.to_string(unique_combos))
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# # Log out to end the cycle:
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# cosec.logout()
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