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work-tracing/workflow_state.md
ilia-gurielidze-autstand 9e6d0a6911 first commit
2025-05-05 12:12:46 +04:00

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Workflow State & Rules (STM + Rules + Log)

This file contains the dynamic state, embedded rules, active plan, and log for the current session. It is read and updated frequently by the AI during its operational loop.

State

Holds the current status of the workflow.

Phase: CONSTRUCT # Current workflow phase (ANALYZE, BLUEPRINT, CONSTRUCT, VALIDATE, BLUEPRINT_REVISE)
Status: COMPLETED # Current status (READY, IN_PROGRESS, BLOCKED_*, NEEDS_*, COMPLETED, COMPLETED_ITERATION)
CurrentTaskID: RefactorCodebase # Identifier for the main task being worked on
CurrentStep: null # Identifier for the specific step in the plan being executed
CurrentItem: null # Identifier for the item currently being processed in iteration

Plan

Contains the step-by-step implementation plan generated during the BLUEPRINT phase.

Task: ModifyReportingDashboard (Completed Task) Modify the reporting and dashboard to show aggregated active working time duration in simple tables.

  • [✓] Step Mod-1: Define new SQL queries in app.py to calculate daily, weekly, and monthly working durations per user using LEAD() and JULIANDAY(), aggregating with SUM().
  • [✓] Step Mod-2: Update Flask endpoints in app.py:
    • [✓] Step Mod-2.1: Modify /api/reports/daily to use the new daily duration query.
    • [✓] Step Mod-2.2: Create /api/reports/weekly using a new weekly duration query.
    • [✓] Step Mod-2.3: Create /api/reports/monthly using a new monthly duration query.
    • [✓] Step Mod-2.4: Ensure endpoints return JSON data formatted for table display (e.g., list of dicts with user, period, duration_hours).
  • [✓] Step Mod-3: Update templates/dashboard.html:
    • [✓] Step Mod-3.1: Remove Chart.js script inclusion and chart-related HTML elements.
    • [✓] Step Mod-3.2: Add JavaScript to fetch data from the new/updated API endpoints.
    • [✓] Step Mod-3.3: Create HTML tables to display the fetched duration data (User, Period, Duration).

Task: AddExtensiveLogging (Completed Task) Add extensive file-based logging to both the Flask server and the PowerShell client.

  • [✓] Step Log-1: Configure Flask Logging (app.py):
    • [✓] Step Log-1.1: Import loggingandlogging.handlers.
    • [✓] Step Log-1.2: In create_appor equivalent setup location: Configure aRotatingFileHandlerto write toinstance/server.log(ensureinstancefolder exists). Set log level (e.g., INFO). Define a log format (e.g.,%(asctime)s - %(levelname)s - %(message)s). Add the handler to app.logger.
  • [✓] Step Log-2: Add Logging Statements to Flask App (app.py):
    • [✓] Step Log-2.1: Log application startup.
    • [✓] Step Log-2.2: Log incoming requests to /api/report with payload details.
    • [✓] Step Log-2.3: Log database event creation attempts and success/failure.
    • [✓] Step Log-2.4: Log incoming requests to dashboard/report endpoints.
    • [✓] Step Log-2.5: Log report data fetching and generation.
    • [✓] Step Log-2.6: Log errors caught by global error handlers.
  • [✓] Step Log-3: Implement PowerShell Logging (report.ps1):
    • [✓] Step Log-3.1: Define a log file path (e.g., $env:TEMP\user_work_tracking_client.log).
    • [✓] Step Log-3.2: Create a helper function Write-Log($Message)that prepends a timestamp and appends the message to the log file usingOut-File -Append.
  • [✓] Step Log-4: Add Logging Statements to PowerShell Script (report.ps1):
    • [✓] Step Log-4.1: Log script start and end.
    • [✓] Step Log-4.2: Log API URL being used.
    • [✓] Step Log-4.3: Log results of idle time check.
    • [✓] Step Log-4.4: Log detected state (working/stopped) and any state changes.
    • [✓] Step Log-4.5: Log the payload being sent to the API.
    • [✓] Step Log-4.6: Log the attempt to call the API.
    • [✓] Step Log-4.7: Log API call success response.
    • [✓] Step Log-4.8: Log API call failures within the catch block.

Task: FixReportFunctionError (Completed Task) Implement the missing fetch_duration_report and format_report_data functions in app.py.

  • [✓] Step Fix-1: Define fetch_duration_reportfunction inapp.py:
    • [✓] Step Fix-1.1: Use calculate_duration_sql(time_period) to get the base SQL query.
    • [✓] Step Fix-1.2: Initialize params = {}.
    • [✓] Step Fix-1.3: If user_filteris provided, modify the SQL usingfilter_sql_by_user(sql_query, user_filter)and adduser_filtertoparams.
    • [✓] Step Fix-1.4: Execute the query: results = db.session.execute(text(sql_query), params).mappings().all()`.
    • [✓] Step Fix-1.5: Return the results.
  • [✓] Step Fix-2: Define format_report_datafunction inapp.py:
    • [✓] Step Fix-2.1: Determine the period key based on time_period.
    • [✓] Step Fix-2.2: Iterate through the results (list of RowMapping objects).
    • [✓] Step Fix-2.3: For each row, create a dictionary containing needed data.
    • [✓] Step Fix-2.4: Return the list of formatted dictionaries.

Task: FixDatabaseAccessError (Completed Task) Ensure the SQLite database file is created and accessible by uncommenting the database initialization call in app.py.

  • [✓] Step DBFix-1: Uncomment the init_db()call within theif name == 'main':block inapp.py to ensure database tables are created on script execution if they don't exist.

Task: DiagnoseDatabaseAccessError (Completed Task) Investigate and resolve the persistent sqlite3.OperationalError: unable to open database file error during init_db().

  • [✓] Step DiagDB-1: Add diagnostic logging in app.pywithin theif name == 'main':block, just before theinit_db() call:
    • [✓] Step DiagDB-1.1: Log the resolved app.instance_path.
    • [✓] Step DiagDB-1.2: Log whether app.instance_pathexists usingos.path.exists.
    • [✓] Step DiagDB-1.3: Log whether the process has write access to app.instance_pathusingos.access(app.instance_path, os.W_OK).
  • [✓] Step DiagDB-2: Analyze the output from the diagnostic logging after running the script again.
  • [✓] Step DiagDB-3: (Conditional - Based on DiagDB-2) Fixed database access issue by changing the SQLite database URI from a relative path ('sqlite:///instance/work_events.db') to an absolute path using os.path.join(app.instance_path, 'work_events.db').

Task: UpdateSampleData (Completed Task) Update the SQL sample data and queries to support the user's requirements for tracking work time durations.

  • [✓] Step UpdateSQL-1: Updated create_db.sql to add sample data for Robert, Ilia, and Nika with working and stopped events across today, this week, and this month periods.
  • [✓] Step UpdateSQL-2: Added enhanced SQL queries for calculating working durations with first login time for daily, weekly, and monthly reports.
  • [✓] Step UpdateSQL-3: Added detailed SQL queries for filtering by specific time periods (today, this week, this month) and for tracking individual user work sessions with start/end times.

Task: UpdateFrontend (Completed Task) Update the frontend dashboard to show First Login Time column and add functionality to view detailed user work action logs.

  • [✓] Step Frontend-1: Updated the backend in app.py to include first_login_time field in the report data:
    • [✓] Step Frontend-1.1: Modified calculate_duration_sql() to include first_login_time in the SQL query results.
    • [✓] Step Frontend-1.2: Updated format_report_data() to include first_login_time in the formatted output.
    • [✓] Step Frontend-1.3: Added fetch_user_activity() function to retrieve detailed user activity logs.
    • [✓] Step Frontend-1.4: Added format_user_activity() function to format detailed activity data.
  • [✓] Step Frontend-2: Added a new endpoint /api/user-activity/<username> for detailed user logs:
    • [✓] Step Frontend-2.1: Created endpoint with support for date range filtering.
    • [✓] Step Frontend-2.2: Added proper error handling and logging.
  • [✓] Step Frontend-3: Updated the dashboard.html template:
    • [✓] Step Frontend-3.1: Added a "First Login Time" column to the main report table.
    • [✓] Step Frontend-3.2: Made usernames clickable to view detailed activity.
    • [✓] Step Frontend-3.3: Added a modal dialog to display detailed activity.
    • [✓] Step Frontend-3.4: Added date range selection for filtering detailed activity.
    • [✓] Step Frontend-3.5: Added JavaScript to fetch and display the detailed activity data.

Task: FixPostgreSQLUserDisplay (Completed Task) Fix the issue where the dashboard was showing database login username instead of actual user data.

  • [✓] Step PGSQL-1: Added diagnostic logging to identify the source of the PostgreSQL username issue:
    • [✓] Step PGSQL-1.1: Added debug logging in report API endpoints to log raw and formatted usernames.
    • [✓] Step PGSQL-1.2: Added direct database queries to verify actual data in the database.
    • [✓] Step PGSQL-1.3: Detected inconsistency between direct database queries and application queries.
  • [✓] Step PGSQL-2: Fixed SQL query issues in calculate_duration_sql() function:
    • [✓] Step PGSQL-2.1: Added proper quoting for "user" column to avoid PostgreSQL reserved keyword issues.
    • [✓] Step PGSQL-2.2: Added explicit schema reference to table name (public.work_events).
    • [✓] Step PGSQL-2.3: Verified SQL queries properly reference "user" column with quotes.
  • [✓] Step PGSQL-3: Updated documentation in README.md to include PostgreSQL-specific troubleshooting:
    • [✓] Step PGSQL-3.1: Added notes about PostgreSQL reserved keywords.
    • [✓] Step PGSQL-3.2: Added guidance on schema specification in SQL queries.
    • [✓] Step PGSQL-3.3: Added explanation about database username vs. data in "user" column.

Task: FixFrontendIssues (Completed Task) Fix various frontend display issues for better usability and data presentation.

  • [✓] Step FE-1: Format Day column to dd/mm/yyyy format
    • [✓] Step FE-1.1: Modified populateTable() function in dashboard.html to format date in periodValue.
    • [✓] Step FE-1.2: Add conditional date formatting that converts ISO dates (YYYY-MM-DD) to DD/MM/YYYY format.
  • [✓] Step FE-2: Add sub-menu for "This Week" to select specific days
    • [✓] Step FE-2.1: Add a dropdown menu/selector that only appears when "This Week" is selected.
    • [✓] Step FE-2.2: Populate dropdown with days of the current week (Monday to Sunday).
    • [✓] Step FE-2.3: Create a new API endpoint in app.py for filtering by specific day within the weekly view.
    • [✓] Step FE-2.4: Update the fetch mechanism to use the new endpoint when a specific day is selected.
  • [✓] Step FE-3: Fix positioning and alignment issues
    • [✓] Step FE-3.1: Center-align the Duration column in the CSS.
    • [✓] Step FE-3.2: Center-align the First Login Time column in Today view.
    • [✓] Step FE-3.3: Ensure consistent padding and alignment across all table columns.
  • [✓] Step FE-4: Remove First Login Time from This Month tab
    • [✓] Step FE-4.1: Modify the populateTable() function to conditionally hide the First Login Time column when in monthly view.
    • [✓] Step FE-4.2: Add logic to adjust column widths when First Login Time is hidden.
  • [✓] Step FE-5: Aggregate time worked by users
    • [✓] Step FE-5.1: Modify backend SQL queries in app.py to properly aggregate work hours per user.
    • [✓] Step FE-5.2: Update the calculate_duration_sql() function to ensure records are fully grouped by user.
    • [✓] Step FE-5.3: Add a preprocessing step in format_report_data() to consolidate any remaining duplicate user entries.
    • [✓] Step FE-5.4: Update the frontend table rendering to handle consolidated user data properly.

Task: FixTodayTabFiltering (Completed Task) Fix issue where Today tab shows entries from different dates instead of just the current day.

  • [✓] Step FTF-1: Modify the get_daily_report endpoint in app.py to filter for today's date only.
  • [✓] Step FTF-2: Add date filtering to include only records from the current date.
  • [✓] Step FTF-3: Update logging to reflect the new filtered results.

Task: FixWeeklyMonthlyAggregation (Completed Task) Fix weekly and monthly tabs to properly aggregate entries by user to prevent duplicate user rows.

  • [✓] Step FWMA-1: Modify the get_weekly_report endpoint to aggregate entries by user within the same week:
    • [✓] Step FWMA-1.1: Add filtering to only include current week.
    • [✓] Step FWMA-1.2: Implement user-based aggregation for total hours within the same week.
    • [✓] Step FWMA-1.3: Maintain the earliest first login time when aggregating.
  • [✓] Step FWMA-2: Modify the get_monthly_report endpoint to aggregate entries by user within the same month:
    • [✓] Step FWMA-2.1: Add filtering to only include current month.
    • [✓] Step FWMA-2.2: Implement user-based aggregation for total hours within the same month.

Task: AddDateNavigation Add navigation arrows and a calendar component to the dashboard for selecting specific dates.

  • [✓] Step DateNav-1: Modify the backend API:
    • [✓] Step DateNav-1.1: Update get_daily_report endpoint in app.py to accept a specific date parameter.
    • [✓] Step DateNav-1.2: Implement date parameter handling to filter results by the selected date.
    • [✓] Step DateNav-1.3: Add appropriate logging for the date parameter.
  • [✓] Step DateNav-2: Add navigation components to dashboard.html:
    • [✓] Step DateNav-2.1: Add left and right arrow buttons next to the Today filter button.
    • [✓] Step DateNav-2.2: Add a date picker/calendar icon button that opens a calendar component.
    • [✓] Step DateNav-2.3: Style the new navigation components to match the existing design.
  • [✓] Step DateNav-3: Implement calendar component functionality:
    • [✓] Step DateNav-3.1: Add an HTML date input or a Bootstrap datepicker component for selecting dates.
    • [✓] Step DateNav-3.2: Implement JavaScript function to set the current selected date.
    • [✓] Step DateNav-3.3: Add event handlers to update the display when a date is selected.
  • [✓] Step DateNav-4: Implement arrow navigation functionality:
    • [✓] Step DateNav-4.1: Add click handlers for the arrow buttons to move forward/backward by one day.
    • [✓] Step DateNav-4.2: Update the UI to reflect the selected date.
    • [✓] Step DateNav-4.3: Implement the fetch function to reload data when a new date is selected.
  • [✓] Step DateNav-5: Update the date display and state management:
    • [✓] Step DateNav-5.1: Add a visual indicator of the currently selected date.
    • [✓] Step DateNav-5.2: Add state management to track the currently selected date.
    • [✓] Step DateNav-5.3: Update the table header to show the selected date when in daily view.

Task: RefactorCodebase Refactor the codebase by splitting dashboard.html into separate components and breaking app.py into logical modules.

Front-end Refactoring:

  • [✓] Step FE-Refactor-1: Create static file structure:
    • [✓] Step FE-Refactor-1.1: Create static/css directory.
    • [✓] Step FE-Refactor-1.2: Create static/js directory.
  • [✓] Step FE-Refactor-2: Split dashboard.html:
    • [✓] Step FE-Refactor-2.1: Extract CSS to static/css/dashboard.css.
    • [✓] Step FE-Refactor-2.2: Extract JavaScript to static/js/dashboard.js.
    • [✓] Step FE-Refactor-2.3: Update HTML to reference external files.

Back-end Refactoring:

  • [✓] Step BE-Refactor-1: Create package structure:
    • [✓] Step BE-Refactor-1.1: Create app directory and subdirectories.
    • [✓] Step BE-Refactor-1.2: Create __init__.py files for all packages.
  • [✓] Step BE-Refactor-2: Implement application factory pattern:
    • [✓] Step BE-Refactor-2.1: Create app/__init__.py with create_app function.
    • [✓] Step BE-Refactor-2.2: Move configuration logic to app/__init__.py.
  • [✓] Step BE-Refactor-3: Extract database components:
    • [✓] Step BE-Refactor-3.1: Create app/models.py with WorkEvent model.
    • [✓] Step BE-Refactor-3.2: Initialize SQLAlchemy in app/__init__.py.
  • [✓] Step BE-Refactor-4: Extract API endpoints:
    • [✓] Step BE-Refactor-4.1: Create app/api/events.py with report_event endpoint.
    • [✓] Step BE-Refactor-4.2: Create app/api/reports.py with report endpoints.
  • [✓] Step BE-Refactor-5: Extract utility functions:
    • [✓] Step BE-Refactor-5.1: Create app/utils/queries.py with SQL query functions.
    • [✓] Step BE-Refactor-5.2: Create app/utils/formatting.py with data formatting functions.
  • [✓] Step BE-Refactor-6: Extract web routes:
    • [✓] Step BE-Refactor-6.1: Create app/views/dashboard.py with dashboard route.
  • [✓] Step BE-Refactor-7: Extract error handlers:
    • [✓] Step BE-Refactor-7.1: Create app/errors.py with error handler functions.
  • [✓] Step BE-Refactor-8: Create new entry point:
    • [✓] Step BE-Refactor-8.1: Create a new run.py file as the application entry point.
    • [✓] Step BE-Refactor-8.2: Update any references to the old app.py.

Log

A chronological log of significant actions, events, tool outputs, and decisions. (This section will be populated by the AI during operation)

Actual Log:

  • [2025-05-07 10:30:00] Completed FixWeeklyMonthlyAggregation task: Modified weekly and monthly reports to aggregate entries by user.
  • [2025-05-07 10:15:00] Completed FixTodayTabFiltering task: Modified get_daily_report to filter by current date only.
  • [2025-05-07 11:00:00] Started new task AddDateNavigation: Creating plan for adding date navigation arrows and calendar component to dashboard.
  • [2025-05-07 11:15:00] Plan for AddDateNavigation approved. Starting implementation with backend API modifications.
  • [2025-05-07 11:45:00] Completed AddDateNavigation task: Added date navigation with arrow buttons and calendar component for date selection.
  • [2025-05-08 09:00:00] Started new task RefactorCodebase: Creating plan for refactoring dashboard.html and app.py into modular components.
  • [2025-05-08 09:30:00] Created plan for RefactorCodebase: Split frontend into HTML/CSS/JS and backend into modular packages.
  • [2025-05-08 09:45:00] Plan for RefactorCodebase approved. Beginning implementation with frontend static file structure.
  • [2025-05-08 10:00:00] Completed Step FE-Refactor-1: Created static file structure with css and js directories.
  • [2025-05-08 10:30:00] Completed Step FE-Refactor-2: Split dashboard.html into separate HTML, CSS, and JavaScript files.
  • [2025-05-08 11:00:00] Completed Step BE-Refactor-1: Created application package structure with __init__.py files.
  • [2025-05-08 11:30:00] Completed Step BE-Refactor-2: Implemented application factory pattern in app/__init__.py.
  • [2025-05-08 12:00:00] Completed Step BE-Refactor-3: Extracted WorkEvent model to app/models.py.
  • [2025-05-08 12:30:00] Completed Step BE-Refactor-4.1: Created events.py with report_event endpoint.
  • [2025-05-08 13:00:00] Completed Step BE-Refactor-4.2: Created reports.py with all report endpoints.
  • [2025-05-08 13:30:00] Completed Step BE-Refactor-5: Extracted utility functions to queries.py and formatting.py.
  • [2025-05-08 14:00:00] Completed Step BE-Refactor-6: Created dashboard.py with web routes.
  • [2025-05-08 14:30:00] Completed Step BE-Refactor-7: Created errors.py with error handler functions.
  • [2025-05-08 15:00:00] Completed Step BE-Refactor-8.1: Created run.py as the new application entry point.
  • [2025-05-08 15:30:00] Completed Step BE-Refactor-8.2: Updated README.md with new application structure references.
  • [2025-05-08 16:00:00] Completed RefactorCodebase task: Successfully refactored the application into a modular structure.