xerparser 0.1.0

Parse a P6 .xer file to a Python dictionary object.

xerparser

xerparser reads a P6 .xer file and converts it into a Python dictionary object containing key, value pairs:

1. "version": Version of P6 the .xer file was exported as.

2. "export_date": Date the .xer file was exported from P6 (datetime object).

3. "errors": A list of potential errors in the .xer file based on common issues encountered when analyzing .xer files:

   • Minimum required tables for a valid P6 schedule are:
     • CALENDAR
     • PROJECT
     • PROJWBS
     • TASK
     • TASKPRED
   • Required table pairs are:
     • TASKFIN <> FINDATES : (Financial Period Data)
     • TRSRCFIN <> FINDATES (Financial Period Data)
     • TASKRSRC <> RSRC (Resource Data)
     • TASKMEMO <> MEMOTYPE (Notebook Data)
     • ACTVCODE <> ACTVTYPE (Activity Code Data)
     • TASKACTV <> ACTVCODE (Activity Code Data)
   • Non-existent calendars assigned to activities.
   
   

4. "tables": Dictionay of each table included in the .xer file.
   Examples: PROJECT, PROJWBS, CALENDAR, TASK, TASKPRED, etc... See Oracle Documentation for mapping and schema of P6 database tables.
   The table name (e.g TASK) is the key, and the value is a list of the table entries, which can be accessed the same as any Python dictionary object:

   xer["tables"]["TASK"]
   or
   xer["tables"].get("TASK")

   Each table entry is a dictionary object where the key is the field name (e.g. task_id, task_code, and task_name) from the table schema.

   for task in xer["tables"].get["TASK", []]:
        print(task["task_code"], task["task_name"])

Example Code

from P6XerParser import xer_to_dict

xer = xer_to_dict("path to file.xer")
xer["version"] # -> 15.2
xer["export_date"] # -> datetime.datetime(2022, 11, 30, 0, 0)
xer["errors"] # -> [ ]

xer["tables"].get("TASK") # -> [{"task_id": 12345, ...}, {"task_id": 12346,...}]
len(xer["tables"].get("TASK",[])) # -> 950