Fault tolerant analysis framework.
Project description
OKCompute
A framework to make analysis stages clear, self documenting, and fault tolerant.
See OKCompute Documentation for details.
Key Features
- Graph of dependencies - Can figure out minimum analysis for set of outputs, or diagnose missing inputs
- Minimum Boilerplate
- Human Readable Reports - Generates HTML documentation implicitly inferred from code and comprehensive reports of what occured during a run
- Support for Pandas dataframes with column validation
- Can specify optional fields or a fallback value if a required field is missing
- Full stack traces are logged in the run results if an exception occurs during analysis
- Supports checking for intermediary results to avoid rerunning slow analysis steps
- Makes writing unit tests extremely easy
TODO
- Make generated documentation prettier
- Better hashing of fields / metrics (avoid collisions based on string names)
- Add way of specifying a list fields with name determined by data (thread names) with sub keys
- Make helper functions to reduce boiler plate in saving / resuming from intermediary processing
- Make reports returned by prune functions more consistent
- Standardize config/input/output conventions
- Should allow metric input/output be dicts?
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
okcompute-1.0.1.tar.gz
(10.0 kB
view details)
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
okcompute-1.0.1-py3-none-any.whl
(11.0 kB
view details)
okcompute-1.0.1-py2-none-any.whl
(11.0 kB
view details)
File details
Details for the file okcompute-1.0.1.tar.gz.
File metadata
- Download URL: okcompute-1.0.1.tar.gz
- Upload date:
- Size: 10.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.6.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0d3a7426bcb2bc0624cbaa9c792121332c5acfa0fb3a56adf826e0a34b50177d
|
|
| MD5 |
a15863d10f048dfb4abfc45fb8e70de6
|
|
| BLAKE2b-256 |
d258d484aabbf62a39734518f4acc411e3b3e59fd9672b42864e15188183d4aa
|
File details
Details for the file okcompute-1.0.1-py3-none-any.whl.
File metadata
- Download URL: okcompute-1.0.1-py3-none-any.whl
- Upload date:
- Size: 11.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.6.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
916533f5f87bb51a120d3886301cc2c1b327a6be3d5f13546fc4c888e85175c4
|
|
| MD5 |
65fdc8abe4d5c798b9062298ba9a2d44
|
|
| BLAKE2b-256 |
5ab0032dc9a7ab5c4e5abb45b59ce3b12445b0c04245c0d70b5b2e2238730f9b
|
File details
Details for the file okcompute-1.0.1-py2-none-any.whl.
File metadata
- Download URL: okcompute-1.0.1-py2-none-any.whl
- Upload date:
- Size: 11.0 kB
- Tags: Python 2
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/2.7.15rc1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
741265731971fc935a3cdaa2eca4f1073488fd5c9f96720a1e05f026fc9f4913
|
|
| MD5 |
09f1ae76d61732532d6c1db5c9b4e71f
|
|
| BLAKE2b-256 |
18bb8fe424fd84723ee4bc792a89f611ee8c8f1793129527353a2491af0bd88a
|