xerparser 0.11.0

Parse a P6 .xer file to a Python object.

xerparser

Read the contents of a P6 .xer file and convert it into a Python object.

Disclaimers:
It's helpfull if you are already familiar with the mapping and schemas used by P6 during the export process. Refer to the Oracle Documentation for more information regarding how data is mapped to the XER format.
Tested on .xer files exported as versions 15.2 through 19.12.

Install

Windows:

pip install xerparser

Linux/Mac:

pip3 install xerparser

Usage

Import the Xer class from xerparser and pass the contents of a .xer file as an argument. Use the Xer class variable CODEC to set the proper encoding to decode the file.

from xerparser import Xer

file = r"/path/to/file.xer"
with open(file, encoding=Xer.CODEC, errors="ignore") as f:
    file_contents = f.read()
xer = Xer(file_contents)

Do not pass the the .xer file directly as an argument to the Xer class. The file must be decoded and read into a string, which can then be passed as an argument. Or, pass the .xer file into the Xer.reader classmethod, which accepts:

• str or pathlib.Path objects for files stored locally or on a server.
• Binary files from requests, Flask, FastAPI, etc...

from xerparser import Xer

file = r"/path/to/file.xer"
xer = Xer.reader(file)

Attributes

The tables stored in the .xer file are accessable as either Global, Project specific, Task specific, or Resource specific:

Global

xer.export_info           # export data
xer.activity_code_types   # dict of ACTVTYPE objects
xer.activity_code_values  # dict of ACTVCODE objects
xer.calendars             # dict of all CALENDAR objects
xer.financial_periods     # dict of FINDATES objects
xer.notebook_topics       # dict of MEMOTYPE objects
xer.projects              # dict of PROJECT objects
xer.project_code_types    # dict of PCATTYPE objects
xer.project_code_values   # dict of PCATVAL objects
xer.tasks                 # dict of all TASK objects
xer.relationships         # dict of all TASKPRED objects
xer.resources             # dict of RSRC objects
xer.udf_types             # dict of UDFTYPE objects
xer.wbs_nodes             # dict of all PROJWBS objects

Project Specific

# Get first project
project = list(xer.projects.values())[0]

project.activity_codes        # list of project specific ACTVTYPE objects
project.calendars             # list of project specific CALENDAR objects
project.project_codes         # dict of PCATTYPE: PCATVAL objects
project.tasks                 # list of project specific TASK objects
project.relationships         # list of project specific TASKPRED objects
project.user_defined_fields   # dict of `UDFTYPE`: `UDF Value` pairs  
project.wbs_nodes             # list of project specific PROJWBS objects

Task Specific

# Get first task
task = project.tasks[0]

task.activity_codes       # dict of ACTVTYPE: ACTVCODE objects
task.memos                # list of TASKMEMO objects
task.periods              # list of TASKFIN objects
task.resources            # dict of TASKRSRC objects
task.user_defined_fields  # dict of `UDFTYPE`: `UDF Value` pairs 

Resource Specific

# Get first task resource
resource = list(task.resources.values())[0]

resource.periods              # list of TRSRCFIN objects
resource.user_defined_fields  # dict of `UDFTYPE`: `UDF Value` pairs 

Error Checking

Sometimes the xer file is corrupted during the export process. If this is the case, a CorruptXerFile Exception will be raised during initialization. A list of the errors can be accessed from the CorruptXerFile Exception, or by using the find_xer_errors function.

Option 1 - errors attribute of CorruptXerFile exception (preferred)

from xerparser import Xer, CorruptXerFile

file = r"/path/to/file.xer"
try:
    xer = Xer.reader(file)
except CorruptXerFile as e:
    for error in e.errors:
        print(error)

Option 2 - find_xer_errors function

from xerparser import parser, file_reader, find_xer_errors

file = r"/path/to/file.xer"
xer_data = parser(file_reader(file))
file_errors = find_xer_errors(xer_data)
for error in file_errors:
    print(error)

Errors

• Minimum required tables - an error is recorded if one of the following tables is missing:

  • CALENDAR
  • PROJECT
  • PROJWBS
  • TASK
  • TASKPRED

• Required table pairs - an error is recorded if Table 1 is included but not Table 2:

  Table 1	Table 2	Notes
  TASKFIN	FINDATES	Financial Period Data for Task
  TRSRCFIN	FINDATES	Financial Period Data for Task Resource
  TASKRSRC	RSRC	Resource Data
  TASKMEMO	MEMOTYPE	Notebook Data
  ACTVCODE	ACTVTYPE	Activity Code Data
  TASKACTV	ACTVCODE	Activity Code Data
  PCATVAL	PCATTYPE	Project Code Data
  PROJPCAT	PCATVAL	Project Code Data
  UDFVALUE	UDFTYPE	User Defined Field Data

• Non-existent calendars assigned to tasks.

• Non-existent resources assigned to task resources.