claude unstested update for moving from wp to project -> wp to task
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@@ -17,6 +17,52 @@ tasks = db.task
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task_file = "/home/mariano/LETRAS/adm/task/main"
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def get_current_task_info():
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"""Get current task ID and path from state and tasks collection"""
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states = db.state
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current_doc = states.find_one({"_id": "current"})
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if not current_doc or "task" not in current_doc:
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return None, None
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task_id = current_doc["task"]
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task_doc = tasks.find_one({"task_id": task_id})
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if task_doc and "path" in task_doc:
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return task_id, task_doc["path"]
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return task_id, None
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def get_task_time_seconds(start, end, task_id, workspaces=None):
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"""Get total seconds for a task within a time period using MongoDB aggregation."""
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if workspaces is None:
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workspaces = ["Plan", "Think", "Work"]
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pipeline = [
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{
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"$match": {
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"date": {"$gte": start, "$lte": end},
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"task": task_id,
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"workspace": {"$in": workspaces}
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}
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},
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{
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"$group": {
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"_id": None,
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"total_seconds": {"$sum": "$delta"}
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}
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}
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]
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result = list(switches.aggregate(pipeline))
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if result and len(result) > 0:
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return result[0]["total_seconds"]
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return 0
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def task_or_none(task=None):
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if not task:
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task = read_and_extract(task_file)
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@@ -62,66 +108,43 @@ def read_and_extract(file_path):
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return None
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def get_work_projects():
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"""Get dict of work projects with their task IDs."""
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work_tasks = list(
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tasks.find(
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{"path": {"$regex": "^work/"}, "task_id": {"$exists": True}},
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{"path": 1, "task_id": 1, "_id": 0},
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)
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)
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projects = {}
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for task in work_tasks:
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# Extract project name from path like "work/cal" -> "cal"
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path_parts = task["path"].split("/")
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if len(path_parts) >= 2:
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project_name = path_parts[1]
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if project_name not in projects:
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projects[project_name] = []
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projects[project_name].append(task["task_id"])
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return projects
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def get_work_project_tasks():
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"""Get comma-separated string of all task IDs under work/* paths."""
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projects = get_work_projects()
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all_task_ids = []
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for task_ids in projects.values():
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all_task_ids.extend(task_ids)
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return ",".join(all_task_ids) if all_task_ids else None
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def get_work_period_totals(start, end):
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"""Get period totals grouped by work project."""
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projects = get_work_projects()
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"""Get period totals grouped by task with full path."""
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# Get all tasks with time in the period
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pipeline = [
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{
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"$match": {
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"date": {"$gte": start, "$lte": end},
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"workspace": {"$in": ["Plan", "Think", "Work"]},
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"task": {"$exists": True, "$ne": None}
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}
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},
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{
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"$group": {
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"_id": "$task",
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"total_seconds": {"$sum": "$delta"}
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}
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}
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]
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results = list(switches.aggregate(pipeline))
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combined_rows = []
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for project_name, task_ids in projects.items():
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if not task_ids:
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continue
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task_string = ",".join(task_ids)
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rows = get_period_totals(start, end, task_string)
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# Sum up all time for this project (looking for "Work" workspace)
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total_seconds = 0
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for row in rows:
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if row["ws"] == "Work":
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# Convert time string back to seconds to sum properly
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time_parts = row["total"].split(":")
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if len(time_parts) == 3:
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hours, minutes, seconds = map(int, time_parts)
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total_seconds += hours * 3600 + minutes * 60 + seconds
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for result in results:
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task_id = result["_id"]
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total_seconds = result["total_seconds"]
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if total_seconds > 0:
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# Get task path from tasks collection
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task_doc = tasks.find_one({"task_id": task_id})
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task_path = task_doc["path"] if task_doc and "path" in task_doc else task_id
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combined_rows.append({
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"ws": project_name,
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"ws": task_path,
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"total": convert_seconds(total_seconds)
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})
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# Sort by project name for consistency
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# Sort by path for consistency
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combined_rows.sort(key=lambda x: x["ws"])
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return combined_rows
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