├── .gitignore
├── CHANGELOG.md
├── LICENSE
├── README.md
├── poetry.lock
├── pyproject.toml
├── scripts.py
├── tests
├── __init__.py
├── config_template.py
└── test_reader.py
└── xer_reader
├── __init__.py
└── src
├── reader.py
├── table.py
└── table_data.py
/.gitignore:
--------------------------------------------------------------------------------
1 | # Project specific
2 | *.xer
3 | *.csv
4 | *.xlsx
5 | temp/
6 | test.py
7 |
8 | # Byte-compiled / optimized / DLL files
9 | __pycache__/
10 | *.py[cod]
11 | *$py.class
12 |
13 | # C extensions
14 | *.so
15 |
16 | # Distribution / packaging
17 | .Python
18 | build/
19 | develop-eggs/
20 | dist/
21 | downloads/
22 | eggs/
23 | .eggs/
24 | lib/
25 | lib64/
26 | parts/
27 | sdist/
28 | var/
29 | wheels/
30 | pip-wheel-metadata/
31 | share/python-wheels/
32 | *.egg-info/
33 | .installed.cfg
34 | *.egg
35 | MANIFEST
36 |
37 | # PyInstaller
38 | # Usually these files are written by a python script from a template
39 | # before PyInstaller builds the exe, so as to inject date/other infos into it.
40 | *.manifest
41 | *.spec
42 |
43 | # Installer logs
44 | pip-log.txt
45 | pip-delete-this-directory.txt
46 |
47 | # Unit test / coverage reports
48 | htmlcov/
49 | .tox/
50 | .nox/
51 | .coverage
52 | .coverage.*
53 | .cache
54 | nosetests.xml
55 | coverage.xml
56 | *.cover
57 | *.py,cover
58 | .hypothesis/
59 | .pytest_cache/
60 |
61 | # Translations
62 | *.mo
63 | *.pot
64 |
65 | # Django stuff:
66 | *.log
67 | local_settings.py
68 | db.sqlite3
69 | db.sqlite3-journal
70 |
71 | # Flask stuff:
72 | instance/
73 | .webassets-cache
74 |
75 | # Scrapy stuff:
76 | .scrapy
77 |
78 | # Sphinx documentation
79 | docs/_build/
80 |
81 | # PyBuilder
82 | target/
83 |
84 | # Jupyter Notebook
85 | .ipynb_checkpoints
86 |
87 | # IPython
88 | profile_default/
89 | ipython_config.py
90 |
91 | # pyenv
92 | .python-version
93 |
94 | # pipenv
95 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
96 | # However, in case of collaboration, if having platform-specific dependencies or dependencies
97 | # having no cross-platform support, pipenv may install dependencies that don't work, or not
98 | # install all needed dependencies.
99 | #Pipfile.lock
100 |
101 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow
102 | __pypackages__/
103 |
104 | # Celery stuff
105 | celerybeat-schedule
106 | celerybeat.pid
107 |
108 | # SageMath parsed files
109 | *.sage.py
110 |
111 | # Environments
112 | .env
113 | .venv
114 | env/
115 | venv/
116 | ENV/
117 | env.bak/
118 | venv.bak/
119 |
120 | # Spyder project settings
121 | .spyderproject
122 | .spyproject
123 |
124 | # Rope project settings
125 | .ropeproject
126 |
127 | # mkdocs documentation
128 | /site
129 |
130 | # mypy
131 | .mypy_cache/
132 | .dmypy.json
133 | dmypy.json
134 |
135 | # Pyre type checker
136 | .pyre/
137 |
138 | .vscode/
139 | tests/fixtures/*.json
140 | tests/config.py
141 |
--------------------------------------------------------------------------------
/CHANGELOG.md:
--------------------------------------------------------------------------------
1 | # Changelog - xer-reader
2 |
3 | ## 0.4.1 - 2024-12-20
4 |
5 | Corrections to README.
6 |
7 | ---
8 |
9 | ## 0.4.0 - 2024-11-21
10 |
11 | * Reference [Issue #2](https://github.com/jjCode01/xer-reader/issues/2)
12 | * The `to_dict` method no longer throws an error if an unreckognized table is found; it now just ignores the table.
13 | * Added `FINTMPL` to table_data.
14 | * Updated `to_csv` method:
15 | * Can now pass a list of table names to export to CSV. For example pass in agrument `table_names=["TASK", "PROJWBS"]` to only export the task and wbs tables to CSV.
16 | * Can now change the delimeter. For example, pass in argument `delimeter=","` to use a coma rather than the default tab.
17 |
18 | ---
19 |
20 | ## 0.3.2 - 2024-10-05
21 |
22 | Clean up code.
23 |
24 | ---
25 |
26 | ## 0.3.1 - 2024-07-02
27 |
28 | Patched potential errors when transformming from a string to a float. Some languages use a comma rather than a period in floating point numbers. [Issue #1](https://github.com/jjCode01/xer-reader/issues/1)
29 |
30 | ---
31 |
32 | ## 0.2.0 - 2024-02-02
33 |
34 | Added `to_excel` function. Export the tables in the .xer file to individual spreadsheets in a .xlsx file.
35 |
36 | ---
37 |
38 | ## 0.1.5 - 2023-11-22
39 |
40 | * Added docstrings for attributes.
41 | * Fixed typo in README.
42 |
43 | ---
44 |
45 | ## 0.1.4 - 2023-10-12
46 |
47 | Access to `Table` class.
48 |
49 | ---
50 |
51 | ## 0.1.3 - 2023-10-06
52 |
53 | General code clean up.
54 |
55 | ---
56 |
57 | ## 0.1.2 - 2023-10-05
58 |
59 | ### Added
60 |
61 | * Added `currency` attribute pulled from ERMHDR values.
62 | * Added `get_table_names` method.
63 | * Added `has_table` method.
64 | * Added `parse_tables` method. Replaces the `tables` attribute.
65 |
66 | ### Removed
67 |
68 | * Removed `tables` attribute. The tables are now returned in the `parse_tables` method.
69 |
70 | ---
71 |
72 | ## 0.1.1 - 2023-09-30
73 |
74 | Fixed typo in README example.
75 |
76 | ---
77 |
78 | ## 0.1.0 - 2023-09-30
79 |
80 | Initial version.
81 |
82 | ---
--------------------------------------------------------------------------------
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622 |
623 | How to Apply These Terms to Your New Programs
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671 | may consider it more useful to permit linking proprietary applications with
672 | the library. If this is what you want to do, use the GNU Lesser General
673 | Public License instead of this License. But first, please read
674 | .
675 |
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | # Xer-Reader
2 |
3 | Read the contents of a Primavera P6 XER file using Python.
4 |
5 | Xer-Reader makes it easy to read, parse, and convert the data in a XER file to other formats.
6 |
7 | _Refer to the [Oracle Documentation](https://docs.oracle.com/cd/F25600_01/English/Mapping_and_Schema/xer_import_export_data_map_project/index.htm) for more information regarding how data is mapped to the XER format.
8 | Tested on XER files exported as versions 15.2 through 19.12._
9 |
10 | ## Install
11 |
12 | **Windows**:
13 |
14 | ```bash
15 | pip install xer-reader
16 | ```
17 |
18 | **Linux/Mac**:
19 |
20 | ```bash
21 | pip3 install xer-reader
22 | ```
23 |
24 | ## Usage
25 |
26 | Import the `XerReader` class from `xer_reader`.
27 |
28 | ```python
29 | from xer_reader import XerReader
30 | ```
31 |
32 | Create a new instance of an `XerReader` object by passing in the XER file as an argument. `XerReader` can accept the file path represented as a `str` or pathlib `Path` object, or a Binary file received as a response from requests, Flask, FastAPI, etc...
33 |
34 | ```python
35 | file = r"/path/to/file.xer"
36 | reader = XerReader(file)
37 | ```
38 |
39 | ### Attributes
40 |
41 | - `data` [str] - _The contents of the XER file as a string._
42 | - `export_date` [datetime] - _The date the XER file was exported._
43 | - `export_user` [str] - _The P6 user who export the XER file._
44 | - `export_version` [str] - _The P6 verison used to export the XER file._
45 | - `file_name` [str] - _The name of the file without the '.xer' extension._
46 |
47 | ### Methods
48 |
49 | **`check_errors()`** -> _list[str]_
50 | Checks the XER file for missing tables and orphan data, and returns the results as a list of errors.
51 |
52 | - Missing tables can occur when an entry in _Table 1_ points to an entry in _Table 2_ but _Table 2_ does not exist at all.
53 | - Orphan data occurs when an entry in _Table 1_ points to an entry _Table 2_ but the entry in _Table 2_ does not exist.
54 |
55 | **`delete_tables(*table_names: str)`** -> _str_
56 | Delete a variable number of tables (_table_names_) from the XER file data and returns a new string (_Does not modify `XerReader.data` attribute_).
57 |
58 | In the following example the tables associated with User Defined Fields are removed from the XER file contents and stored in a new variable `new_xer_data`, which can then be written to a new XER file:
59 |
60 | ```python
61 | new_xer_data = reader.delete_tables("UDFTYPE", "UDFVALUE")
62 |
63 | with open("New_XER.xer", "w", encoding=XerReader.CODEC) as new_xer_file:
64 | new_xer_file.write(new_xer_data)
65 | ```
66 |
67 | **`get_table_names()`** -> _list[str]_
68 | Returns a list of table names included in the XER file.
69 |
70 | **`get_table_str(table_name: str)`** -> _str_
71 | Returns the tab seperated text for a specific table in the XER file.
72 |
73 | **`has_table(table_name: str)`** -> _bool_
74 | Return True if table (`table_name`) if found in the XER file.
75 |
76 | **`to_dict()`** -> _dict[str, Table]_
77 | Returns a dictionary with the table name as the key and a `Table` object as the value.
78 |
79 | **`to_csv(file_directory: str | Path, table_names: list[str], delimeter: str)`** -> _None_
80 | Generate a CSV file for each table in the XER file. CSV files will be created in the current working directory.
81 | Optional `file_directory`: Pass a string or Path object to specify a folder to store the CSV files in.
82 | Optional `table_names`: List of tables names to save to CSV files.
83 | Optional `delimeter`: Change the default delimeter from a `tab` to another string (e.g. a coma ",").
84 |
85 | ```python
86 | reader.to_csv(table_names=["TASK", "PROJWBS"], delimeter=",")
87 | ```
88 |
89 | **`to_excel()`** -> _None_
90 | Generate an Excel (.xlsx) file with each table in the XER file on its own spreadsheet. The Excel file will be create in the
91 | current working directory.
92 |
93 | **`to_json(*tables: str)`** -> _str_
94 | Generate a json compliant string representation of the tables in the XER file.
95 | Optional: Pass in specific table names to include in the json string.
96 |
--------------------------------------------------------------------------------
/poetry.lock:
--------------------------------------------------------------------------------
1 | # This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
2 |
3 | [[package]]
4 | name = "colorama"
5 | version = "0.4.6"
6 | description = "Cross-platform colored terminal text."
7 | optional = false
8 | python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
9 | files = [
10 | {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
11 | {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
12 | ]
13 |
14 | [[package]]
15 | name = "et-xmlfile"
16 | version = "2.0.0"
17 | description = "An implementation of lxml.xmlfile for the standard library"
18 | optional = false
19 | python-versions = ">=3.8"
20 | files = [
21 | {file = "et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa"},
22 | {file = "et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54"},
23 | ]
24 |
25 | [[package]]
26 | name = "openpyxl"
27 | version = "3.1.5"
28 | description = "A Python library to read/write Excel 2010 xlsx/xlsm files"
29 | optional = false
30 | python-versions = ">=3.8"
31 | files = [
32 | {file = "openpyxl-3.1.5-py2.py3-none-any.whl", hash = "sha256:5282c12b107bffeef825f4617dc029afaf41d0ea60823bbb665ef3079dc79de2"},
33 | {file = "openpyxl-3.1.5.tar.gz", hash = "sha256:cf0e3cf56142039133628b5acffe8ef0c12bc902d2aadd3e0fe5878dc08d1050"},
34 | ]
35 |
36 | [package.dependencies]
37 | et-xmlfile = "*"
38 |
39 | [[package]]
40 | name = "tqdm"
41 | version = "4.67.1"
42 | description = "Fast, Extensible Progress Meter"
43 | optional = false
44 | python-versions = ">=3.7"
45 | files = [
46 | {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
47 | {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
48 | ]
49 |
50 | [package.dependencies]
51 | colorama = {version = "*", markers = "platform_system == \"Windows\""}
52 |
53 | [package.extras]
54 | dev = ["nbval", "pytest (>=6)", "pytest-asyncio (>=0.24)", "pytest-cov", "pytest-timeout"]
55 | discord = ["requests"]
56 | notebook = ["ipywidgets (>=6)"]
57 | slack = ["slack-sdk"]
58 | telegram = ["requests"]
59 |
60 | [metadata]
61 | lock-version = "2.0"
62 | python-versions = "^3.10"
63 | content-hash = "2fdce0c4be59f3d614eeee47423cf17fd031b920eb8c1bfe44eee50a49f0bedf"
64 |
--------------------------------------------------------------------------------
/pyproject.toml:
--------------------------------------------------------------------------------
1 | [tool.poetry]
2 | name = "xer-reader"
3 | version = "0.4.1"
4 | description = "Read and parse a Primavera P6 xer file."
5 | authors = ["Jesse Jones "]
6 | license = "GPL-3.0-only"
7 | readme = "README.md"
8 | keywords = ["primavera", "p6", "xer", "schedule", "scheduling", "planning", "project management", "project controls"]
9 | repository = "https://github.com/jjCode01/xer-reader"
10 |
11 | [tool.poetry.dependencies]
12 | python = "^3.10"
13 | openpyxl = "^3.1.2"
14 |
15 | [tool.poetry.group.test.dependencies]
16 | tqdm = "^4.66.1"
17 |
18 | [tool.poetry.scripts]
19 | test = 'scripts:test'
20 |
21 | [build-system]
22 | requires = ["poetry-core"]
23 | build-backend = "poetry.core.masonry.api"
24 |
--------------------------------------------------------------------------------
/scripts.py:
--------------------------------------------------------------------------------
1 | import subprocess
2 |
3 |
4 | def test():
5 | """
6 | Run all unittests. Equivalent to:
7 | `poetry run python -u -m unittest discover`
8 | """
9 | subprocess.run(["python", "-u", "-m", "unittest", "discover"])
--------------------------------------------------------------------------------
/tests/__init__.py:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/jjCode01/xer-reader/f9fafd896e5900c702bdfe32c9b5dfdba1fac26c/tests/__init__.py
--------------------------------------------------------------------------------
/tests/config_template.py:
--------------------------------------------------------------------------------
1 | """
2 | !!! COPY THIS FILE TO config.py !!!
3 |
4 | Replace value of `directory` with the path to a folder containing .xer files.
5 | The test setup will recursively run through this folder and any subfolders to find
6 | all .xer files.
7 |
8 | Caution: the more .xer files found, the longer the setup and test will take to run.
9 |
10 | """
11 |
12 | # Change directory to path containing .xer files
13 | directory = r"path/to/xer/files"
--------------------------------------------------------------------------------
/tests/test_reader.py:
--------------------------------------------------------------------------------
1 | """
2 | Unittests for xer-reader.
3 |
4 | Setup the config.py file - follow instructions in config_template.py
5 |
6 | Each unittest will run through all .xer file in the specified directory,
7 | create an instance of XerReader, and run the assertion tests.
8 | """
9 |
10 | import re
11 | import unittest
12 | from datetime import datetime
13 | from pathlib import Path
14 |
15 | from tqdm import tqdm
16 |
17 | import tests.config as config
18 | from xer_reader.src.reader import XerReader
19 |
20 | date_format = "%Y-%m-%d"
21 |
22 |
23 | def get_xer_files() -> list:
24 | # Pull location of xer files from config file
25 | xer_file_path = Path(config.directory)
26 |
27 | # Verify location of xer files is valid
28 | if not xer_file_path.exists():
29 | raise FileNotFoundError(f"Could not find the directory {config.directory}")
30 |
31 | # Get list of xer files
32 | xer_files = [file for file in Path(config.directory).glob("**/*.xer")]
33 | if not xer_files:
34 | raise FileNotFoundError(f"No .xer files found in {xer_file_path.absolute()}")
35 |
36 | return xer_files
37 |
38 |
39 | class TestReader(unittest.TestCase):
40 | def setUp(self) -> None:
41 | self.temp_folder = Path.cwd().joinpath("temp")
42 | self.files = get_xer_files()
43 |
44 | def tearDown(self) -> None:
45 | """Remove temporary files created during the test."""
46 | if self.temp_folder.is_dir():
47 | for file in self.temp_folder.glob("*.*"):
48 | Path.unlink(file)
49 | # self.temp_folder.rmdir()
50 |
51 | def test_reader(self):
52 | print(f"Running XER Reader tests on {len(self.files)} .xer files.")
53 | for file in tqdm(self.files):
54 | reader = XerReader(file)
55 | tables = reader.to_dict()
56 | self.assertIsInstance(reader.export_date, datetime)
57 | self.assertRegex(reader.export_version, re.compile(r"\d+\.\d+"))
58 | for name, table in tables.items():
59 | self.assertGreaterEqual(len(table), 1)
60 |
61 | def test_delete_table(self):
62 | print(f"Running delete_table tests on {len(self.files)} .xer files.")
63 | for file in tqdm(self.files):
64 | reader = XerReader(file)
65 | tables = reader.to_dict()
66 | for table in tables.keys():
67 | self.assertNotIn("%T\t{table}\n", reader.delete_tables(table))
68 |
69 | def test_get_table_str(self):
70 | print(f"Running get_table_str tests on {len(self.files)} .xer files.")
71 | for file in tqdm(self.files):
72 | reader = XerReader(file)
73 | self.assertEqual(reader.get_table_str("TEST_TABLE"), "")
74 | self.assertEqual(reader.get_table_str("CALENDAR")[:8], "clndr_id")
75 | self.assertEqual(reader.get_table_str("PROJECT")[:7], "proj_id")
76 | self.assertEqual(reader.get_table_str("PROJWBS")[:6], "wbs_id")
77 |
78 | def test_to_csv(self):
79 | print(f"Running to_csv tests on {len(self.files)} .xer files.")
80 | for file in tqdm(self.files):
81 | reader = XerReader(file)
82 | tables = reader.to_dict()
83 | temp_folder = Path.cwd().joinpath("temp")
84 | if not temp_folder.is_dir():
85 | Path.mkdir(temp_folder)
86 |
87 | reader.to_csv(temp_folder)
88 |
89 | for table_name in tables.keys():
90 | csv_file = temp_folder.joinpath(f"{reader.file_name}_{table_name}.csv")
91 | self.assertTrue(
92 | csv_file.is_file(),
93 | f"{table_name}.csv",
94 | )
95 | if csv_file.is_file():
96 | Path.unlink(csv_file)
97 |
98 | # def test_to_excel(self):
99 | # print(f"Running to_excel tests on {len(self.files)} .xer files.")
100 | # for file in tqdm(self.files):
101 | # reader = XerReader(file)
102 | # temp_folder = Path.cwd().joinpath("temp")
103 | # if not temp_folder.is_dir():
104 | # Path.mkdir(temp_folder)
105 |
106 | # reader.to_excel(temp_folder)
107 |
108 | # excel_file = temp_folder.joinpath(f"{reader.file_name}.xlsx")
109 | # self.assertTrue(
110 | # excel_file.is_file(),
111 | # f"{reader.file_name}.xlsx",
112 | # )
113 | # if excel_file.is_file():
114 | # Path.unlink(excel_file)
115 |
--------------------------------------------------------------------------------
/xer_reader/__init__.py:
--------------------------------------------------------------------------------
1 | __version__ = "0.4.0"
2 |
3 | from xer_reader.src.reader import XerReader # noqa: F401
4 | from xer_reader.src.table import XerTable # noqa: F401
5 |
--------------------------------------------------------------------------------
/xer_reader/src/reader.py:
--------------------------------------------------------------------------------
1 | """
2 | This module contains the `XerReader class, which represents the contents of
3 | an XER file exported from Primavera P6.
4 |
5 | """
6 |
7 | import csv
8 | import json
9 | import re
10 | from datetime import datetime
11 | from pathlib import Path
12 | from typing import BinaryIO
13 |
14 | from openpyxl import Workbook
15 | from openpyxl.worksheet.table import Table
16 |
17 | from xer_reader.src.table import XerTable, UnrecognizedTable
18 | from xer_reader.src.table_data import table_data
19 |
20 | DATE_FORMAT = "%Y-%m-%d"
21 | REQUIRED_TABLES = {"CALENDAR", "CURRTYPE", "PROJECT", "PROJWBS"}
22 |
23 |
24 | class XerReader:
25 | """Open an XER file exported from Primavera P6 and read its contents."""
26 |
27 | CODEC = "cp1252"
28 | file_name: str
29 | """XER file name"""
30 | data: str
31 | """XER file raw data as tab seperated text"""
32 |
33 | def __init__(self, file: str | Path | BinaryIO) -> None:
34 | self.file_name, self.data = _read_file(file)
35 |
36 | _file_info = _parse_file_info(self.data)
37 | self.currency: str = _file_info[7]
38 | """(str) Currency type set in P6"""
39 | self.export_version: str = _file_info[0]
40 | """(str) P6 Version"""
41 | self.export_date: datetime = datetime.strptime(_file_info[1], DATE_FORMAT)
42 | """(datetime) Date the XER file was exported"""
43 | self.export_user: str = _file_info[4]
44 | """(str) P6 user name that exported the XER file"""
45 |
46 | def check_errors(self) -> list[str]:
47 | """Check XER file for missing tables and orphan data
48 |
49 | Returns:
50 | list[str]: Descriptions of missing information
51 | """
52 | errors = set()
53 |
54 | id_map = {
55 | data["key"]: table for table, data in table_data.items() if data["key"]
56 | }
57 |
58 | tables = self.to_dict()
59 |
60 | # Check for minimum tables required to be in the XER
61 | for name in REQUIRED_TABLES:
62 | if name not in tables:
63 | errors.add(f"Missing Required Table {name}")
64 |
65 | # Check for required table pairs
66 | for table in tables.values():
67 | for table2 in table.depends:
68 | if table2 not in tables:
69 | errors.add(f"Missing Table {table2} Required for Table {table}")
70 |
71 | for row in table.entries():
72 | for key, val in row.items():
73 | if val == "":
74 | continue
75 | if not key.endswith("_id"):
76 | continue
77 | if key == "parent_wbs_id" and row["proj_node_flag"] == "Y":
78 | continue
79 | clean_key = key if key in id_map else _clean_foreign_key_label(key)
80 | if clean_key:
81 | if check_table := tables.get(id_map[clean_key]):
82 | for entry in check_table.entries():
83 | if entry.get(clean_key, "") == val:
84 | break
85 | else:
86 | errors.add(
87 | f"Orphan data {key} [{val}] in table {table}"
88 | )
89 |
90 | return list(errors)
91 |
92 | def delete_tables(self, *table_names: str) -> str:
93 | """
94 | Delete tables from XER file.
95 | Does not modify `XerReader.data` attribute, but returns a new string.
96 |
97 | Args:
98 | *table_names (str): table names to remove from XER file
99 |
100 | Returns:
101 | str: XER File String with tables removed
102 | """
103 | if not table_names:
104 | raise ValueError("Must pass at least one table name")
105 |
106 | rev_data = self.data
107 | for name in table_names:
108 | table_search = re.compile(rf"%T\t{name.upper()}\r?\n(.|\s)*?(?=%T|%E)")
109 | rev_data = table_search.sub("", rev_data)
110 | return rev_data
111 |
112 | def get_table_names(self) -> list[str]:
113 | """Get list of table names included in the XER file.
114 |
115 | Returns:
116 | list[str]: list of table names
117 | """
118 | table_names = re.compile(r"(?<=%T\t)[A-Z]+")
119 | return table_names.findall(self.data)
120 |
121 | def get_table_str(self, table_name: str) -> str:
122 | """Get string for a specific table in the XER file.
123 |
124 | Args:
125 | table_name (str): Name of table
126 |
127 | Returns:
128 | str: Table header and rows
129 | """
130 | re_search = re.compile(rf"(?<=%T\t{table_name.upper()}\n)(.|\s)*?(?=%T|%E)")
131 | if found_table := re_search.search(self.data):
132 | return re.sub(r"%[TFR]\t", "", found_table.group())
133 | return ""
134 |
135 | def has_table(self, table_name: str) -> bool:
136 | """Check if a table is included in the XER file.
137 |
138 | Args:
139 | table_name (str): table name
140 |
141 | Returns:
142 | bool: True if found; False if not found
143 | """
144 | return f"%T\t{table_name.upper()}" in self.data
145 |
146 | def to_dict(self) -> dict[str, XerTable]:
147 | """
148 | Parse tables into a dictionary with the table name as the key
149 | and a `Table` object as the value.
150 |
151 | Returns:
152 | dict[str, Table]: dict of XER Tables
153 | """
154 | tables = {}
155 | for table_str in self.data.split("%T\t")[1:]:
156 | try:
157 | table = XerTable(table_str)
158 | tables[table.name] = table
159 | except UnrecognizedTable:
160 | continue
161 | return tables
162 |
163 | def to_csv(
164 | self,
165 | file_directory: str | Path = Path.cwd(),
166 | table_names: list[str] = [],
167 | delimeter: str = "\t",
168 | ) -> None:
169 | """
170 | Generate a CSV file for each table in the XER file.
171 | Uses `tab` as the delimiter by default.
172 |
173 | Args:
174 | file_directory (str | Path, optional): Directory to save CSV files. [Defaults to current working directory]
175 | table_names (list, optional): List of table names to save to CSV files. If empty, all tables will be saved.
176 | delimeter (str, optional): CSV delimeter. [Default is a `tab`]
177 | """
178 | names = [name.upper() for name in table_names]
179 | for table in self.to_dict().values():
180 | if not table_names or table.name in names:
181 | _write_table_to_csv(
182 | f"{self.file_name}_{table.name}",
183 | table,
184 | Path(file_directory),
185 | delimeter,
186 | )
187 |
188 | def to_excel(self, file_directory: str | Path = Path.cwd()) -> None:
189 | """
190 | Generate an Excel file with each table in the XER file on a seperate worksheet.
191 |
192 | """
193 | wb = Workbook()
194 | ws = wb.active
195 | ws.title = "ERMHDR"
196 | ws.append(_parse_file_info(self.data))
197 |
198 | for name, table in self.to_dict().items():
199 | new_ws = wb.create_sheet(name)
200 | new_ws.append(table.labels)
201 | for entry in table.rows:
202 | new_ws.append(entry)
203 |
204 | tab = Table(displayName=name, ref=new_ws.calculate_dimension())
205 |
206 | new_ws.add_table(tab)
207 |
208 | wb.save(Path(file_directory, f"{self.file_name}.xlsx"))
209 |
210 | def to_json(self, *tables: str) -> str:
211 | """Generate a json compliant string representation of tables in the XER file
212 |
213 | Returns:
214 | str: json compliant string representation of XER tables
215 | """
216 | out_data = {}
217 | if not tables:
218 | out_data = {
219 | name: _entry_by_key(table) for name, table in self.to_dict().items()
220 | }
221 | else:
222 | out_data = {
223 | name: _entry_by_key(table)
224 | for name, table in self.to_dict().items()
225 | if name in tables
226 | }
227 | json_data = {self.file_name: {**out_data}}
228 | return json.dumps(json_data, indent=2)
229 |
230 |
231 | def _clean_foreign_key_label(label: str) -> str | None:
232 | prefixes = ("base_", "last_", "new_", "parent_", "pred_")
233 | for prefix in prefixes:
234 | if label.startswith(prefix):
235 | return label.replace(prefix, "")
236 | return
237 |
238 |
239 | def _entry_by_key(table: XerTable) -> dict | list:
240 | if not table.key:
241 | return table.entries(serialize=True)
242 | return {entry[table.key]: entry for entry in table.entries(serialize=True)}
243 |
244 |
245 | def _parse_file_info(data: str) -> list[str]:
246 | """Parse file header"""
247 | ermhdr = re.search(r"(?<=ERMHDR\t).+", data)
248 | if not ermhdr:
249 | raise ValueError("Invalid XER File")
250 | return ermhdr.group().split("\t")
251 |
252 |
253 | def _read_file(file: str | Path | BinaryIO) -> tuple[str, str]:
254 | file_contents = ""
255 | file_name = ""
256 | if isinstance(file, (str, Path)):
257 | # Path directory to file
258 | file_name = Path(file).stem
259 | with open(file, encoding=XerReader.CODEC, errors="ignore") as f:
260 | file_contents = f.read()
261 | else:
262 | # Binary file from requests, Flask, FastAPI, etc...
263 | file_contents = file.read().decode(XerReader.CODEC, errors="ignore")
264 | file_name = file.name
265 |
266 | if not file_contents.startswith("ERMHDR"):
267 | raise ValueError(f"ValueError: {file_name} is invalid XER file")
268 |
269 | return file_name, file_contents
270 |
271 |
272 | def _write_table_to_csv(
273 | name: str, table: XerTable, file_directory: Path, delimeter
274 | ) -> None:
275 | with file_directory.joinpath(f"{name}.csv").open("w") as f:
276 | writer = csv.writer(f, delimiter=delimeter)
277 | writer.writerow(table.labels)
278 | for row in table.rows:
279 | writer.writerow(row)
280 | f.close()
281 |
--------------------------------------------------------------------------------
/xer_reader/src/table.py:
--------------------------------------------------------------------------------
1 | import re
2 | from datetime import datetime
3 | from typing import Any
4 |
5 | from xer_reader.src.table_data import table_data
6 |
7 | DATE_HR_FORMAT = "%Y-%m-%d %H:%M"
8 |
9 |
10 | class UnrecognizedTable(Exception):
11 | def __init__(self, table: str) -> None:
12 | self.table = table
13 | self.message = f"Unrecognized Table: {self.table}"
14 |
15 | def __str__(self) -> str:
16 | return self.message
17 |
18 |
19 | class XerTable:
20 | """A class representing a P6 table"""
21 |
22 | def __init__(self, data: str) -> None:
23 | _lines: list[str] = re.split(r"\r?\n", data)
24 |
25 | # First line is the table name
26 | self.name: str = _lines.pop(0)
27 | """Table Name"""
28 |
29 | if self.name not in table_data:
30 | raise UnrecognizedTable(self.name)
31 |
32 | self.depends: list[str] = table_data[self.name]["depends"]
33 | """List of Required Foreign Tables"""
34 | self.description: str = table_data[self.name]["description"]
35 | """Discription of Data Contained in Table"""
36 | self.key: str | None = table_data[self.name]["key"]
37 | """Label Name for Unique ID of Table Entries"""
38 |
39 | # Second line is the column labels
40 | self.labels: list[str] = _lines.pop(0).strip().split("\t")[1:]
41 | """List Entry Labels or Column Headers"""
42 |
43 | # Remaining lines are the data rows
44 | self.rows: list[list[str]] = [
45 | row.split("\t")[1:] for row in _lines if row.startswith("%R")
46 | ]
47 | """Nested Array containing Rows of Data"""
48 |
49 | self._entries: list[dict[str, Any]] = []
50 | self._serialized: bool = False
51 |
52 | def __bool___(self) -> bool:
53 | return len(self.rows) > 0
54 |
55 | def __getitem__(self, _key):
56 | if isinstance(_key, (int, slice)):
57 | return self.rows[_key]
58 |
59 | if isinstance(_key, str):
60 | if _key not in self.labels:
61 | raise KeyError(f"{_key} not found")
62 |
63 | return [row[_key] for row in self.entries()]
64 |
65 | if isinstance(_key, (list, tuple, set)):
66 | for k in _key:
67 | if k not in self.labels:
68 | raise KeyError("{k} not found")
69 |
70 | return [{k: row[k] for k in _key} for row in self.entries()]
71 |
72 | def __len__(self) -> int:
73 | return len(self.rows)
74 |
75 | def __str__(self) -> str:
76 | return self.name
77 |
78 | def entries(self, serialize: bool = False) -> list[dict[str, str]]:
79 | if not self._entries or serialize != self._serialized:
80 | self._entries = [
81 | _converter(serialize, **dict(zip(self.labels, row)))
82 | for row in self.rows
83 | ]
84 | self._serialized = serialize
85 | return self._entries
86 |
87 |
88 | def _converter(
89 | serialize: bool, **kwargs: str
90 | ) -> dict[str, None | int | float | datetime | bool]:
91 | return {
92 | label: _convert_entry_data_type(label, value, serialize)
93 | for label, value in kwargs.items()
94 | }
95 |
96 |
97 | def _is_date_label(label: str) -> bool:
98 | return label.endswith(("_date", "_date2"))
99 |
100 |
101 | def _is_float_label(label: str) -> bool:
102 | return label.endswith(
103 | ("_cost", "_hr", "_pct", "_qty", "_qty2", "_qty3", "_qty4", "_qty5", "_rate")
104 | )
105 |
106 |
107 | def _is_int_label(label: str) -> bool:
108 | return label.endswith(
109 | ("_id", "_base", "_cnt", "_len", "_num", "_order", "_path", "_step")
110 | )
111 |
112 |
113 | def _convert_entry_data_type(
114 | label: str, value: str, serialize: bool
115 | ) -> None | int | float | datetime | bool:
116 | if value == "":
117 | return None
118 | if _is_int_label(label):
119 | try:
120 | return int(value)
121 | except ValueError:
122 | return value
123 | if _is_float_label(label):
124 | try:
125 | return float(value.replace(",", "."))
126 | except ValueError:
127 | return value
128 | if not serialize and _is_date_label(label):
129 | return datetime.strptime(value, DATE_HR_FORMAT)
130 | if label.endswith("_flag"):
131 | return value == "Y"
132 |
133 | return value
134 |
--------------------------------------------------------------------------------
/xer_reader/src/table_data.py:
--------------------------------------------------------------------------------
1 | table_data = {
2 | "ACCOUNT": {
3 | "key": "acct_id",
4 | "description": "Cost Accounts",
5 | "depends": [],
6 | },
7 | "ACTVCODE": {
8 | "key": "actv_code_id",
9 | "description": "Activity Code Values",
10 | "depends": ["ACTVTYPE"],
11 | },
12 | "ACTVTYPE": {
13 | "key": "actv_code_type_id",
14 | "description": "Activity Codes",
15 | "depends": [],
16 | },
17 | "APPLYACTOPTIONS": {
18 | "key": None,
19 | "description": "Apply Actual Options",
20 | "depends": [],
21 | },
22 | "ASGNMNTACAT": {
23 | "key": None,
24 | "description": "Assignment Code Assignments",
25 | "depends": ["ASGNMNTCATTYPE", "ASGNMNTCATVAL", "TASKRSRC"],
26 | },
27 | "ASGNMNTCATTYPE": {
28 | "key": "asgnmnt_catg_type_id",
29 | "description": "Assignment Codes",
30 | "depends": [],
31 | },
32 | "ASGNMNTCATVAL": {
33 | "key": "asgnmnt_catg_id",
34 | "description": "Assignment Code Values",
35 | "depends": ["ASGNMNTCATTYPE"],
36 | },
37 | "BUDGCHNG": {
38 | "key": "budg_chng_id",
39 | "description": "Budget Changes",
40 | "depends": [],
41 | },
42 | "CALENDAR": {
43 | "key": "clndr_id",
44 | "description": "Calendars",
45 | "depends": [],
46 | },
47 | "COSTTYPE": {
48 | "key": "cost_type_id",
49 | "description": "Expense Categories",
50 | "depends": [],
51 | },
52 | "CURRTYPE": {
53 | "key": "curr_id",
54 | "description": "Currency Types",
55 | "depends": [],
56 | },
57 | "DOCCATG": {
58 | "key": "doc_catg_id",
59 | "description": "Document Categories",
60 | "depends": [],
61 | },
62 | "DOCSTAT": {
63 | "key": "doc_status_id",
64 | "description": "Document Statuses",
65 | "depends": [],
66 | },
67 | "DOCUMENT": {
68 | "key": "doc_id",
69 | "description": "Work Products and Documents",
70 | "depends": [],
71 | },
72 | "FINDATES": {
73 | "key": "fin_dates_id",
74 | "description": "Financial Periods",
75 | "depends": [],
76 | },
77 | "FINTMPL": {
78 | "key": "fintmpl_id",
79 | "description": "Financial Period Calendar",
80 | "depends": [],
81 | },
82 | "FUNDSRC": {
83 | "key": "fund_id",
84 | "description": "Funding Sources",
85 | "depends": [],
86 | },
87 | "ISSUHIST": {
88 | "key": None,
89 | "description": "Notification History",
90 | "depends": [],
91 | },
92 | "MEMOTYPE": {
93 | "key": "memo_type_id",
94 | "description": "Notebook Topics",
95 | "depends": [],
96 | },
97 | "NONWORK": {
98 | "key": "nonwork_type_id",
99 | "description": "Non-work Types",
100 | "depends": [],
101 | },
102 | "OBS": {
103 | "key": "obs_id",
104 | "description": "Organization Breakdown Structure",
105 | "depends": [],
106 | },
107 | "PCATTYPE": {
108 | "key": "proj_catg_type_id",
109 | "description": "Project Codes",
110 | "depends": [],
111 | },
112 | "PCATVAL": {
113 | "key": "proj_catg_id",
114 | "description": "Project Code Values",
115 | "depends": ["PCATTYPE"],
116 | },
117 | "PHASE": {
118 | "key": "phase_id",
119 | "description": "Phase Project Code",
120 | "depends": [],
121 | },
122 | "POBS": {
123 | "key": "pobs_id",
124 | "description": "Extra Data",
125 | "depends": [],
126 | },
127 | "PROJCOST": {
128 | "key": "cost_item_id",
129 | "description": "Project Expenses",
130 | "depends": ["TASK"],
131 | },
132 | "PROJECT": {
133 | "key": "proj_id",
134 | "description": "Projects",
135 | "depends": [],
136 | },
137 | "PROJEST": {
138 | "key": "proj_est_id",
139 | "description": "Estimate History",
140 | "depends": [],
141 | },
142 | "PROJFUND": {
143 | "key": "proj_fund_id",
144 | "description": "Project Funding Assignments",
145 | "depends": ["FUNDSRC"],
146 | },
147 | "PROJISSU": {
148 | "key": "issue_id",
149 | "description": "Issues",
150 | "depends": [],
151 | },
152 | "PROJPCAT": {
153 | "key": None,
154 | "description": "Project Code Assignments",
155 | "depends": ["PCATVAL", "PCATTYPE"],
156 | },
157 | "PROJTHRS": {
158 | "key": "thresh_id",
159 | "description": "Thresholds",
160 | "depends": [],
161 | },
162 | "PROJWBS": {
163 | "key": "wbs_id",
164 | "description": "Work Breakdown Structure",
165 | "depends": [],
166 | },
167 | "PRORISK": {
168 | "key": "risk_id",
169 | "description": "Risks",
170 | "depends": ["RISKTYPE"],
171 | },
172 | "RCATTYPE": {
173 | "key": "rsrc_catg_type_id",
174 | "description": "Resource Codes",
175 | "depends": [],
176 | },
177 | "RCATVAL": {
178 | "key": "rsrc_catg_id",
179 | "description": "Resource Code Values",
180 | "depends": ["RCATTYPE"],
181 | },
182 | "RISKTYPE": {
183 | "key": "risk_type_id",
184 | "description": "Risk Types",
185 | "depends": [],
186 | },
187 | "ROLECATTYPE": {
188 | "key": "role_catg_type_id",
189 | "description": "Role Codes",
190 | "depends": [],
191 | },
192 | "ROLECATVAL": {
193 | "key": "role_catg_id",
194 | "description": "Role Code Values",
195 | "depends": ["ROLECATTYPE"],
196 | },
197 | "ROLELIMIT": {
198 | "key": "rolelimit_id",
199 | "description": "Role Limits",
200 | "depends": ["ROLES"],
201 | },
202 | "ROLERATE": {
203 | "key": "role_rate_id",
204 | "description": "Role Prices",
205 | "depends": ["ROLES"],
206 | },
207 | "ROLERCAT": {
208 | "key": None,
209 | "description": "Role Code Assignments",
210 | "depends": ["ROLES", "ROLECATTYPE", "ROLECATVAL"],
211 | },
212 | "ROLES": {
213 | "key": "role_id",
214 | "description": "Roles",
215 | "depends": [],
216 | },
217 | "RSRC": {
218 | "key": "rsrc_id",
219 | "description": "Resources",
220 | "depends": [],
221 | },
222 | "RSRCCURV": {
223 | "key": "curv_id",
224 | "description": "Resource Curves",
225 | "depends": [],
226 | },
227 | "RSRCCURVDATA": {
228 | "key": None,
229 | "description": "Resource Curve Data",
230 | "depends": ["RSRCCURV"],
231 | },
232 | "RSRCLEVELLIST": {
233 | "key": "rsrc_level_list_id",
234 | "description": "Resource Level List",
235 | "depends": ["RSRC"],
236 | },
237 | "RSRCRATE": {
238 | "key": "rsrc_rate_id",
239 | "description": "Resource Prices",
240 | "depends": ["RSRC"],
241 | },
242 | "RSRCRCAT": {
243 | "key": None,
244 | "description": "Resource Code Assignments",
245 | "depends": ["RCATVAL", "RCATTYPE", "RSRC"],
246 | },
247 | "RSRCROLE": {
248 | "key": None,
249 | "description": "Resource Role Assignments",
250 | "depends": ["ROLES", "RSRC"],
251 | },
252 | "SCHEDOPTIONS": {
253 | "key": "schedoptions_id",
254 | "description": "Schedule Options",
255 | "depends": [],
256 | },
257 | "SHIFT": {
258 | "key": "shift_id",
259 | "description": "Shift Names",
260 | "depends": [],
261 | },
262 | "SHIFTPER": {
263 | "key": "shift_period_id",
264 | "description": "Shifts",
265 | "depends": ["SHIFT"],
266 | },
267 | "TASK": {
268 | "key": "task_id",
269 | "description": "Activities",
270 | "depends": ["CALENDAR"],
271 | },
272 | "TASKACTV": {
273 | "key": None,
274 | "description": "Activity Code Assignments",
275 | "depends": ["ACTVCODE", "TASK"],
276 | },
277 | "TASKDOC": {
278 | "key": "taskdoc_id",
279 | "description": "Document Assignments",
280 | "depends": ["DOCUMENT", "TASK"],
281 | },
282 | "TASKFDBK": {
283 | "key": None,
284 | "description": "Activity Feedback",
285 | "depends": ["TASK"],
286 | },
287 | "TASKFIN": {
288 | "key": None,
289 | "description": "Activity Past Period Actuals",
290 | "depends": ["FINDATES", "TASK"],
291 | },
292 | "TASKMEMO": {
293 | "key": "memo_id",
294 | "description": "Activity Notebook",
295 | "depends": ["MEMOTYPE", "TASK"],
296 | },
297 | "TASKNOTE": {
298 | "key": None,
299 | "description": "Activity Notes to Resources",
300 | "depends": ["TASK"],
301 | },
302 | "TASKPRED": {
303 | "key": "task_pred_id",
304 | "description": "Activity Relationships",
305 | "depends": ["TASK"],
306 | },
307 | "TASKPROC": {
308 | "key": "proc_id",
309 | "description": "Activity Steps",
310 | "depends": ["TASK"],
311 | },
312 | "TASKRSRC": {
313 | "key": "taskrsrc_id",
314 | "description": "Activity Resource Assignments",
315 | "depends": ["RSRC", "TASK"],
316 | },
317 | "TASKUSER": {
318 | "key": None,
319 | "description": "Activity Owners",
320 | "depends": ["TASK"],
321 | },
322 | "THRSPARM": {
323 | "key": "thresh_parm_id",
324 | "description": "Threshold Parameters",
325 | "depends": [],
326 | },
327 | "TRSRCFIN": {
328 | "key": None,
329 | "description": "Activity Resource Assignment Past Period Actuals",
330 | "depends": ["FINDATES", "TASKRSRC"],
331 | },
332 | "UDFTYPE": {
333 | "key": "udf_type_id",
334 | "description": "User Defined Fields",
335 | "depends": [],
336 | },
337 | "UDFVALUE": {
338 | "key": None,
339 | "description": "User Defined Field Values",
340 | "depends": ["UDFTYPE"],
341 | },
342 | "UMEASURE": {
343 | "key": "unit_id",
344 | "description": "Units of Measure",
345 | "depends": [],
346 | },
347 | "WBSBUDG": {
348 | "key": "wbs_budg_id",
349 | "description": "Spending and Benefit Plans",
350 | "depends": [],
351 | },
352 | "WBSMEMO": {
353 | "key": "wbs_memo_id",
354 | "description": "EPS, Project and WBS Notebook",
355 | "depends": ["MEMOTYPE", "PROJWBS"],
356 | },
357 | "WBSSTEP": {
358 | "key": "wbs_step_id",
359 | "description": "WBS Milestones",
360 | "depends": [],
361 | },
362 | }
363 |
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